 Patent Application Title |
Patent App Num. |
Date |
| Mild osteoarthritis biomarkers and uses thereof | 20110020809 | 20110127 |
| The invention relates to the identification and selection of novel biomarkers and the identification and selection of novel biomarker combinations which are differentially expressed in individuals with mild osteoarthritis as compared with individuals without osteoarthritis. Polynucleotides and proteins which specifically and/or selectively hybridize to the products of the biomarkers of the invention are also encompassed within the scope of the invention as are kits containing said polynucleotides and proteins for use in diagnosing mild osteoarthritis. Further encompassed by the invention is the use of the polynucleotides and proteins which specifically and/or selectively hybridize to the product of the biomarkers of the invention to monitor disease regression in an individual and to monitor the efficacy of therapeutic regimens. The invention also provides for methods of using the... |
| Positioning apparatus, positioning method, and program product | 20110018763 | 20110127 |
| A GPS receiver outputs pseudo distances each containing a clock bias error. A clock bias and a reception position are calculated based on each of the outputted pseudo distances. A clock drift is calculated based on clock biases at past n points or Doppler information outputted from the GPS receiver. Based on the calculated clock drift, a reference clock bias is estimated using a regression equation or a Kalman filter. Thereby, a position-fix accuracy is evaluated appropriately, without needing external data, such as autonomous navigation information.
... |
| Molten metal discharge nozzle | 20110017784 | 20110127 |
| Provided is a molten metal discharge nozzle capable of suppressing turbulence in a molten metal stream passing through an inner bore thereof, with a simple structure. A cross-sectional shape of a wall surface of the inner bore, taken along an axis of the inner bore, comprises a part or an entirety of a curved line expressed by the following formula: log(r(z))=(1/n)×log((Hc+L)/(Hc+z))+log(r(L)) (1), where: 6≧n≧1.5; L is a length of the nozzle; Hc is a calculative hydrostatic head; and r(z) is a radius of the inner bore at a position located a distance z downward from an upper end of the nozzle, wherein, in a graph where the distance z is plotted with respect to a horizontal axis (X-axis) thereof, and a pressure of molten metal at... |
| Method and system for identifying regression test cases for a software | 20110016452 | 20110120 |
| The present invention provides a method, system and computer program product for identifying regression test cases for a software application by identifying one or more units of functionalities of the software application, structuring the use case activity diagrams using the identified units of functionalities, modifying the structured use case activity diagrams when there is a change in the software application, and analyzing the modifications made to the structured use case activity diagrams to identify regression test cases for the changes in the software application.
... |
| Speech recognition system and method | 20110015925 | 20110120 |
| and estimating the mimicked transformed parameters.
... |
Subscribe to updates on this page: Regression RSS  |
| System and process for regression-based residual acoustic echo suppression | 20110013781 | 20110120 |
| A regression-based residual echo suppression (RES) system and process for suppressing the portion of the microphone signal corresponding to a playback of a speaker audio signal that was not suppressed by an acoustic echo canceller (AEC). In general, a prescribed regression technique is used between a prescribed spectral attribute of multiple past and present, fixed-length, periods (e.g., frames) of the speaker signal and the same spectral attribute of a current period (e.g., frame) of the echo residual in the output of the AEC. This automatically takes into consideration the correlation between the time periods of the speaker signal. The parameters of the regression can be easily tracked using adaptive methods. Multiple applications of RES can be used to produce better results and this system and process... |
| System and method for developing a rule-based named entity extraction | 20110010685 | 20110113 |
| A system and method for developing a rule-based named entity extraction system is provided. The method includes analyzing requirements of business users. The method further includes designing the rule-based named entity extraction system based on the requirement analysis. Further, the method includes implementing the design of rule-based named entity extraction system using one or more GUI-based tools. Thereafter, regression testing of the rule-based named entity extraction system is conducted. Finally, rule-based named entity extraction system is deployed.
... |
| Devices, systems, and methods for aiding in the detection of a physiological abnormality | 20110009764 | 20110113 |
| The present invention comprises a method for excluding the presence of a pulmonary embolism using a combination of a blood test for D-dimer and a carboximetry test measuring the ratio of exhaled CO2 to O2. If the measured D-Dimer value is at or above a threshold indicative of concern and the carboximetry value is equal to or greater than a pre-determined carboximetry ratio threshold, a clinically significant pulmonary embolism, or a pulmonary thrombus above a certain effective size, is unlikely to be present. If the measured D-Dimer value is at or above a threshold indicative of concern and the respiratory analysis yields a carboximetry ratio less than the carboximetry ratio threshold, test results are inconclusive and additional testing may be required to determine whether a clinically... |
| Use of an ozone/oxygen mixture as primary anticancer therapy through intraperitoneal insufflation | 20110006261 | 20110113 |
| Head and neck squamous cell carcinomas (HNSCC) represent a group of metastasizing tumors with a high mortality rate in man and animals. Since the biomolecule ozone was found to inhibit growth of various carcinoma cells in vitro we here applied the highly aggressive and lethal VX2 carcinoma HNSCC tumor model of the New Zealand White rabbit to test whether ozone exerts anti-tumorous effects in vivo. Therapeutic insufflation of medical ozone/oxygen (O3/O2) gas mixture into the peritoneum (O3/O2-pneumoperitoneum) at an advanced stage of tumor disease led to a survival rate of 7/14 rabbits. Six of the seven surviving rabbits presented full tumor regression and the absence of local or distant lung metastases. Insufflation of pure oxygen (O2) resulted in a survival rate of 3/13 animals accompanied by... |
| Causal product demand forecasting system and method using weather data as causal factors in retail demand forecasting | 20110004510 | 20110106 |
| A method system for forecasting product demand using a causal methodology, based on multiple regression techniques. The methodology utilizes weather related data as a set of causal factors for retail demand forecasting. These weather related factors may include temperature, precipitation, snow, accumulated snow, or extreme weather conditions.
... |
| Method for prediction of lipoprotein content from nmr data | 20110004453 | 20110106 |
| The invention concerns a method of preparing regression coefficients in a multivariate analysis for predicting the quantity of a component of a lipoprotein entity in a biological sample from NMR spectral data and a method of predicting the quantity of a component of a lipoprotein entity in a biological sample from NMR spectral data, which is based on the regression coefficients. The invention is especially useful for predicting the triacylglycerol level in chylomicrons of a patient.
... |
| Apparatus, system, and method of determining apparatus state | 20110004419 | 20110106 |
| A state predicting apparatus collects internal information and usage information of an apparatus subjected for failure prediction determination, calculates a state index value using a regression model and the internal information of the apparatus, calculates a usage factor indicating a predicted remaining time period between a time when the state index value is calculated and a time when a failure is predicted to occur using the usage information of the apparatus, and calculates a failure risk based on the state index value and the usage factor.
... |
| Method for controlling and/or regulating a training and/or rehabilitation unit | 20110004113 | 20110106 |
| The invention relates to a method for controlling and/or regulating a training and/or rehabilitation unit, wherein a) a sensor unit is used in the flow of inspiration and expiration air of a person or an animal using the training and/or rehabilitation unit, b) physiological parameters of ventilation and/or gas exchange of the person or the animal are determined using the respiratory gas composition and/or breath volume measured using the sensor unit, c) one or more maximum performance variables are determined on the basis of the determined parameters under submaximal loading, using a regression function and/or by limit loading to the maximum performance capability, and d) a resistance or brake arrangement of the training and/or rehabilitation unit is controlled and/or regulated as a function of at least... |
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| Data processing apparatus generating motion of 3d model and method | 20100332427 | 20101230 |
| Provided is a data processing apparatus that may include a storage unit, a first calculator, and a second calculator. The storage unit may store a plurality of training data obtained by motion sensing. The first calculator may calculate a first transformation matrix by performing a regression analysis for the plurality of training data. The second calculator may calculate first output data by applying the first transformation matrix to first input data.
... |
| Predicting communication outcome based on a regression model | 20100332286 | 20101230 |
| Predicting a score related to a communication sent by a sender over a communications network to a first agent servicing the communication includes obtaining a regression result for an objective function by encoding features extracted from the communication. The encoded features are applied to a regression model for the objective function. The regression result is output to a network component in the communications network. The regression model is determined prior to or concurrently with receiving the communication from the sender.
... |
| Analytical bandwidth enhancement for monitoring telemetric signals | 20100332185 | 20101230 |
| Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.
... |
| Network detection of real-time applications using incremental linear regression | 20100329133 | 20101230 |
| Method and apparatus using incremental linear regression to derive a traffic flow signature indicative of a particular application within a packet stream.
... |
| Real-time self-calibrating sensor system and method | 20100324853 | 20101223 |
| A system and method for calibrating a sensor of a characteristic monitoring system in real time utilizes a self-calibration module for periodic determination of, and compensation for, the IR drop across unwanted resistances in a cell. A current-interrupt switch is used to open the self-calibration module circuit and either measure the IR drop using a high-frequency (MHz) ADC module, or estimate it through linear regression of acquired samples of the voltage across the sensor's working and reference electrodes (Vmeasured) over time. The IR drop is then subtracted from the closed-circuit value of Vmeasured to calculate the overpotential that exists in the cell (Vimportant). Vimportant may be further optimized by subtracting the value of the open-circuit voltage (Voc) across the sensor's working and reference electrodes. The values... |
| Computing system with compile farm | 20100318965 | 20101216 |
| A computer readable medium is provided and has instructions stored thereon, which, when executed cause a processor of a computing system to execute a method of controlling the computing system. The method includes iteratively running a workload over a period of time, the workload being defined by software components of a software repository of the computing system, measuring power consumption associated with the running of the workload with each iteration and storing data indicative of the power consumption, analyzing the data and identifying, from a result of the analysis, power consumption changes over the period of time, generating a regression profile based on the power consumption changes, and managing the software components in accordance with the regression profile.
... |
| Semantic scene segmentation using random multinomial logit (rml) | 20100310159 | 20101209 |
| A system and method are disclosed for learning a random multinomial logit (RML) classifier and applying the RML classifier for scene segmentation. The system includes an image textonization module, a feature selection module and a RML classifier. The image textonization module is configured to receive an image training set with the objects of the images being pre-labeled. The image textonization module is further configured to generate corresponding texton images from the image training set. The feature selection module is configured to randomly select one or more texture-layout features from the texton images. The RML classifier comprises multiple multinomial logistic regression models. The RML classifier is configured to learn each multinomial logistic regression model using the selected texture-layout features. The RML classifier is further configured to apply... |
| Filtered model output statistics (fmos) | 20100305860 | 20101202 |
| A computer-implemented method to provide stabilized and spatially smooth regression coefficients for weather forecast error correction from small training data sets. In accordance with the present invention, an MOS estimate of the regression coefficient calculated from a small data set can be optimally combined with a smooth prior estimate of the regression coefficient, an estimate of the spatial error covariance of that prior estimate, and an estimate of the spatial error covariance of the MOS estimate. The result is a filtered MOS (FMOS) regression coefficient which can be used to more accurately estimate and correct errors in weather forecasts even using only small data sets.
... |
| High linear dynamic range imaging | 20100302399 | 20101202 |
| A method for digital processing comprises receiving a first set of image data corresponding to a first time and a second set of image data corresponding to a different time. Intensity values for each of a first pixel and second pixel are extracted from each of the first and second set of image data. Substantially linear values in a plurality of intensity values are identified for each of the first and second pixels. For each of the first and second pixels, regression is performed on each of the substantially linear values in the plurality of intensity values. The regression may calculate an intensity level as a function of exposure time. The regression may generate slopes corresponding to the linear values for each of the first and... |
| Approach for root causing regression bugs | 20100299654 | 20101125 |
| A stable program, a new program version and a test case which passes (or fails) in the first program may be analyzed. Another new input may be found that either exhibits the similar (different) behavior as that of the test case in the first program (or second program) or follows different (similar) behavior as that of the test case in the new program version. In the first case, the trace of the test case and the new input in the second code version while in the second case, the trace of the test case and the new input in the original program are compared to produce a bug report. By reviewing the bug reports, divergences may be found and error causing code lines may be isolated.
... |
| Protein markers associated with bone marrow stem cell differentiation into early progenitor dendritic cells | 20100297702 | 20101125 |
| A novel cytosolic 58 kd phosphoprotein induced during bone marrow stem cell (BM) differentiation into dendritic cells (DC) during in vitro cultivation with the cytokine GM-CSF by addition of antisera to an 82 kd BM cell surface protein generating cultivatable dendritic progenitor cells (DP). Genes, methods for preparing them as well as early DP have been provided. Potential uses/advantages lie in the study of BM differentiation and innate immunity due to stimulatory/inhibitory DC, contribution of BM and DP to inflammation during infection and carcinogenesis, tumor promotion/regression, identification of BM-derived blood cells, T-cell activation/regulation/tolerance and inflammation.
... |
| Impact of calcium phosphate complex on dental caries | 20100297203 | 20101125 |
| The present invention relates to chewing gum and confectionery compositions and methods for reducing dental caries in mammals. In particular, the compositions may include a gum base or carrier, sweetening agents and casein phosphopeptide-calcium phosphate (CPP-ACP). The compositions may be employed to slow the progression and enhance the regression of carious lesions in mammals, particularly in humans.
... |
| Immune response inducer | 20100297071 | 20101125 |
| An immunity-inducing agent comprising as an effective ingredient a specific polypeptide is disclosed. These polypeptides were isolated, by the SEREX method using a cDNA library derived from canine testis and serum from a cancer-bearing dog, as a polypeptide which binds to an antibody existing specifically in serum derived from a cancer-bearing living body. The polypeptides can induce immunity in a living body and cause regression of a tumor in a cancer-bearing living body. Therefore, these polypeptides are especially effective as a therapeutic and/or prophylactic agent for a cancer(s).
... |
| Method and system for data classification in the presence of a temporal non-stationarity | 20100293124 | 20101118 |
| A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified... |
| Real-time robust method for determining the trajectory of one or more cetaceans by means of passive acoustics, using a laptop computer | 20100290316 | 20101118 |
| The trajectory of at least one marine animal emitting sound signals in the form of series of clicks, such as a cetacean, is passively determined. During successive processing time windows, raw analog signals are acquired from a plurality of hydrophones disposed in a marine environment and converted into digital data. Digital data filtering eliminates spurious noises and keeps the data, for each pair of hydrophones and each processing window, that corresponds to potential values (TDOAs) for the time-difference of arrival of the sound signals at two different hydrophones. For each hydrophone pair, the consistency of the TDOAs is checked and a number of filtered and mutually-consistent TDOAs are selected. Based on the filtered and mutually-consistent TDOAs, the successive instantaneous positions of the click sources are determined... |
| Method and apparatus for real-time estimation of four wheel imbalances for chassis prognosis | 20100288030 | 20101118 |
| A system and method for determining whether a particular wheel on a vehicle is un-balanced during operation of the vehicle. The method includes providing wheel angle signals from the wheels of the vehicle and providing a vibration measurement signal from a response point on the vehicle, such as from an accelerometer on a steering column of the vehicle. The method also includes generating a regression vector using the wheel angle signals. The method also includes generating an estimated parameter vector using a recursive least squares algorithm, the regression vector and the vibration measurement signal. The method then calculates an imbalanced magnitude value of each wheel of the vehicle using the estimated parameter vector. The method uses a persistency of excitation test to determine whether the parameter... |
| Method and apparatus for dc offset compensation in a digital communication system | 20100284496 | 20101111 |
| A method of compensating for dc offset of a received signal transmitted over a channel having a plurality of paths, the received signal comprising a modulated data signal and a modulated known training sequence signal, the method comprising the steps of: constructing (104) from the known training sequence signal a first regression matrix; path-combining (106) the incrementally rotated elements of the first regression matrix to produce the elements of a trend matrix; deriving (108) a neutralized second regression matrix from the first regression matrix and the trend matrix; utilising the neutralized second regression matrix to compensate (110, 112) for dc offset of the received modulated data signal.
... |
| Method and system for identifying regression test cases for a software | 20110016452 | 20110120 |
| The present invention provides a method, system and computer program product for identifying regression test cases for a software application by identifying one or more units of functionalities of the software application, structuring the use case activity diagrams using the identified units of functionalities, modifying the structured use case activity diagrams when there is a change in the software application, and analyzing the modifications made to the structured use case activity diagrams to identify regression test cases for the changes in the software application.
... |
| Speech recognition system and method | 20110015925 | 20110120 |
| and estimating the mimicked transformed parameters.
... |
| System and process for regression-based residual acoustic echo suppression | 20110013781 | 20110120 |
| A regression-based residual echo suppression (RES) system and process for suppressing the portion of the microphone signal corresponding to a playback of a speaker audio signal that was not suppressed by an acoustic echo canceller (AEC). In general, a prescribed regression technique is used between a prescribed spectral attribute of multiple past and present, fixed-length, periods (e.g., frames) of the speaker signal and the same spectral attribute of a current period (e.g., frame) of the echo residual in the output of the AEC. This automatically takes into consideration the correlation between the time periods of the speaker signal. The parameters of the regression can be easily tracked using adaptive methods. Multiple applications of RES can be used to produce better results and this system and process... |
| System and method for developing a rule-based named entity extraction | 20110010685 | 20110113 |
| A system and method for developing a rule-based named entity extraction system is provided. The method includes analyzing requirements of business users. The method further includes designing the rule-based named entity extraction system based on the requirement analysis. Further, the method includes implementing the design of rule-based named entity extraction system using one or more GUI-based tools. Thereafter, regression testing of the rule-based named entity extraction system is conducted. Finally, rule-based named entity extraction system is deployed.
... |
| Devices, systems, and methods for aiding in the detection of a physiological abnormality | 20110009764 | 20110113 |
| The present invention comprises a method for excluding the presence of a pulmonary embolism using a combination of a blood test for D-dimer and a carboximetry test measuring the ratio of exhaled CO2 to O2. If the measured D-Dimer value is at or above a threshold indicative of concern and the carboximetry value is equal to or greater than a pre-determined carboximetry ratio threshold, a clinically significant pulmonary embolism, or a pulmonary thrombus above a certain effective size, is unlikely to be present. If the measured D-Dimer value is at or above a threshold indicative of concern and the respiratory analysis yields a carboximetry ratio less than the carboximetry ratio threshold, test results are inconclusive and additional testing may be required to determine whether a clinically... |
| Use of an ozone/oxygen mixture as primary anticancer therapy through intraperitoneal insufflation | 20110006261 | 20110113 |
| Head and neck squamous cell carcinomas (HNSCC) represent a group of metastasizing tumors with a high mortality rate in man and animals. Since the biomolecule ozone was found to inhibit growth of various carcinoma cells in vitro we here applied the highly aggressive and lethal VX2 carcinoma HNSCC tumor model of the New Zealand White rabbit to test whether ozone exerts anti-tumorous effects in vivo. Therapeutic insufflation of medical ozone/oxygen (O3/O2) gas mixture into the peritoneum (O3/O2-pneumoperitoneum) at an advanced stage of tumor disease led to a survival rate of 7/14 rabbits. Six of the seven surviving rabbits presented full tumor regression and the absence of local or distant lung metastases. Insufflation of pure oxygen (O2) resulted in a survival rate of 3/13 animals accompanied by... |
| Causal product demand forecasting system and method using weather data as causal factors in retail demand forecasting | 20110004510 | 20110106 |
| A method system for forecasting product demand using a causal methodology, based on multiple regression techniques. The methodology utilizes weather related data as a set of causal factors for retail demand forecasting. These weather related factors may include temperature, precipitation, snow, accumulated snow, or extreme weather conditions.
... |
| Method for prediction of lipoprotein content from nmr data | 20110004453 | 20110106 |
| The invention concerns a method of preparing regression coefficients in a multivariate analysis for predicting the quantity of a component of a lipoprotein entity in a biological sample from NMR spectral data and a method of predicting the quantity of a component of a lipoprotein entity in a biological sample from NMR spectral data, which is based on the regression coefficients. The invention is especially useful for predicting the triacylglycerol level in chylomicrons of a patient.
... |
| Apparatus, system, and method of determining apparatus state | 20110004419 | 20110106 |
| A state predicting apparatus collects internal information and usage information of an apparatus subjected for failure prediction determination, calculates a state index value using a regression model and the internal information of the apparatus, calculates a usage factor indicating a predicted remaining time period between a time when the state index value is calculated and a time when a failure is predicted to occur using the usage information of the apparatus, and calculates a failure risk based on the state index value and the usage factor.
... |
| Method for controlling and/or regulating a training and/or rehabilitation unit | 20110004113 | 20110106 |
| The invention relates to a method for controlling and/or regulating a training and/or rehabilitation unit, wherein a) a sensor unit is used in the flow of inspiration and expiration air of a person or an animal using the training and/or rehabilitation unit, b) physiological parameters of ventilation and/or gas exchange of the person or the animal are determined using the respiratory gas composition and/or breath volume measured using the sensor unit, c) one or more maximum performance variables are determined on the basis of the determined parameters under submaximal loading, using a regression function and/or by limit loading to the maximum performance capability, and d) a resistance or brake arrangement of the training and/or rehabilitation unit is controlled and/or regulated as a function of at least... |
| Data processing apparatus generating motion of 3d model and method | 20100332427 | 20101230 |
| Provided is a data processing apparatus that may include a storage unit, a first calculator, and a second calculator. The storage unit may store a plurality of training data obtained by motion sensing. The first calculator may calculate a first transformation matrix by performing a regression analysis for the plurality of training data. The second calculator may calculate first output data by applying the first transformation matrix to first input data.
... |
| Predicting communication outcome based on a regression model | 20100332286 | 20101230 |
| Predicting a score related to a communication sent by a sender over a communications network to a first agent servicing the communication includes obtaining a regression result for an objective function by encoding features extracted from the communication. The encoded features are applied to a regression model for the objective function. The regression result is output to a network component in the communications network. The regression model is determined prior to or concurrently with receiving the communication from the sender.
... |
| Analytical bandwidth enhancement for monitoring telemetric signals | 20100332185 | 20101230 |
| Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.
... |
| Network detection of real-time applications using incremental linear regression | 20100329133 | 20101230 |
| Method and apparatus using incremental linear regression to derive a traffic flow signature indicative of a particular application within a packet stream.
... |
| Real-time self-calibrating sensor system and method | 20100324853 | 20101223 |
| A system and method for calibrating a sensor of a characteristic monitoring system in real time utilizes a self-calibration module for periodic determination of, and compensation for, the IR drop across unwanted resistances in a cell. A current-interrupt switch is used to open the self-calibration module circuit and either measure the IR drop using a high-frequency (MHz) ADC module, or estimate it through linear regression of acquired samples of the voltage across the sensor's working and reference electrodes (Vmeasured) over time. The IR drop is then subtracted from the closed-circuit value of Vmeasured to calculate the overpotential that exists in the cell (Vimportant). Vimportant may be further optimized by subtracting the value of the open-circuit voltage (Voc) across the sensor's working and reference electrodes. The values... |
| Computing system with compile farm | 20100318965 | 20101216 |
| A computer readable medium is provided and has instructions stored thereon, which, when executed cause a processor of a computing system to execute a method of controlling the computing system. The method includes iteratively running a workload over a period of time, the workload being defined by software components of a software repository of the computing system, measuring power consumption associated with the running of the workload with each iteration and storing data indicative of the power consumption, analyzing the data and identifying, from a result of the analysis, power consumption changes over the period of time, generating a regression profile based on the power consumption changes, and managing the software components in accordance with the regression profile.
... |
| Semantic scene segmentation using random multinomial logit (rml) | 20100310159 | 20101209 |
| A system and method are disclosed for learning a random multinomial logit (RML) classifier and applying the RML classifier for scene segmentation. The system includes an image textonization module, a feature selection module and a RML classifier. The image textonization module is configured to receive an image training set with the objects of the images being pre-labeled. The image textonization module is further configured to generate corresponding texton images from the image training set. The feature selection module is configured to randomly select one or more texture-layout features from the texton images. The RML classifier comprises multiple multinomial logistic regression models. The RML classifier is configured to learn each multinomial logistic regression model using the selected texture-layout features. The RML classifier is further configured to apply... |
| Filtered model output statistics (fmos) | 20100305860 | 20101202 |
| A computer-implemented method to provide stabilized and spatially smooth regression coefficients for weather forecast error correction from small training data sets. In accordance with the present invention, an MOS estimate of the regression coefficient calculated from a small data set can be optimally combined with a smooth prior estimate of the regression coefficient, an estimate of the spatial error covariance of that prior estimate, and an estimate of the spatial error covariance of the MOS estimate. The result is a filtered MOS (FMOS) regression coefficient which can be used to more accurately estimate and correct errors in weather forecasts even using only small data sets.
... |
| High linear dynamic range imaging | 20100302399 | 20101202 |
| A method for digital processing comprises receiving a first set of image data corresponding to a first time and a second set of image data corresponding to a different time. Intensity values for each of a first pixel and second pixel are extracted from each of the first and second set of image data. Substantially linear values in a plurality of intensity values are identified for each of the first and second pixels. For each of the first and second pixels, regression is performed on each of the substantially linear values in the plurality of intensity values. The regression may calculate an intensity level as a function of exposure time. The regression may generate slopes corresponding to the linear values for each of the first and... |
| Approach for root causing regression bugs | 20100299654 | 20101125 |
| A stable program, a new program version and a test case which passes (or fails) in the first program may be analyzed. Another new input may be found that either exhibits the similar (different) behavior as that of the test case in the first program (or second program) or follows different (similar) behavior as that of the test case in the new program version. In the first case, the trace of the test case and the new input in the second code version while in the second case, the trace of the test case and the new input in the original program are compared to produce a bug report. By reviewing the bug reports, divergences may be found and error causing code lines may be isolated.
... |
| Protein markers associated with bone marrow stem cell differentiation into early progenitor dendritic cells | 20100297702 | 20101125 |
| A novel cytosolic 58 kd phosphoprotein induced during bone marrow stem cell (BM) differentiation into dendritic cells (DC) during in vitro cultivation with the cytokine GM-CSF by addition of antisera to an 82 kd BM cell surface protein generating cultivatable dendritic progenitor cells (DP). Genes, methods for preparing them as well as early DP have been provided. Potential uses/advantages lie in the study of BM differentiation and innate immunity due to stimulatory/inhibitory DC, contribution of BM and DP to inflammation during infection and carcinogenesis, tumor promotion/regression, identification of BM-derived blood cells, T-cell activation/regulation/tolerance and inflammation.
... |
| Impact of calcium phosphate complex on dental caries | 20100297203 | 20101125 |
| The present invention relates to chewing gum and confectionery compositions and methods for reducing dental caries in mammals. In particular, the compositions may include a gum base or carrier, sweetening agents and casein phosphopeptide-calcium phosphate (CPP-ACP). The compositions may be employed to slow the progression and enhance the regression of carious lesions in mammals, particularly in humans.
... |
| Immune response inducer | 20100297071 | 20101125 |
| An immunity-inducing agent comprising as an effective ingredient a specific polypeptide is disclosed. These polypeptides were isolated, by the SEREX method using a cDNA library derived from canine testis and serum from a cancer-bearing dog, as a polypeptide which binds to an antibody existing specifically in serum derived from a cancer-bearing living body. The polypeptides can induce immunity in a living body and cause regression of a tumor in a cancer-bearing living body. Therefore, these polypeptides are especially effective as a therapeutic and/or prophylactic agent for a cancer(s).
... |
| Method and system for data classification in the presence of a temporal non-stationarity | 20100293124 | 20101118 |
| A method and system for determining a feature of a particular pattern are provided. In particular, data records are received, and predetermined patterns that are associated with at least some of the data records are obtained. Using the system and method, particular information is extracted from at least a subset of the received data records, the particular information being indicative of the particular pattern in at least some of the data records. Then, it is determined whether the particular pattern is an unexpected pattern based on the obtained predetermined patterns. In addition, it is possible to classify and reduce data and/or parameters provided in the data records. First, the data records are received. Then, the data records which have at least one particular pattern are classified... |
| Real-time robust method for determining the trajectory of one or more cetaceans by means of passive acoustics, using a laptop computer | 20100290316 | 20101118 |
| The trajectory of at least one marine animal emitting sound signals in the form of series of clicks, such as a cetacean, is passively determined. During successive processing time windows, raw analog signals are acquired from a plurality of hydrophones disposed in a marine environment and converted into digital data. Digital data filtering eliminates spurious noises and keeps the data, for each pair of hydrophones and each processing window, that corresponds to potential values (TDOAs) for the time-difference of arrival of the sound signals at two different hydrophones. For each hydrophone pair, the consistency of the TDOAs is checked and a number of filtered and mutually-consistent TDOAs are selected. Based on the filtered and mutually-consistent TDOAs, the successive instantaneous positions of the click sources are determined... |
| Method and apparatus for real-time estimation of four wheel imbalances for chassis prognosis | 20100288030 | 20101118 |
| A system and method for determining whether a particular wheel on a vehicle is un-balanced during operation of the vehicle. The method includes providing wheel angle signals from the wheels of the vehicle and providing a vibration measurement signal from a response point on the vehicle, such as from an accelerometer on a steering column of the vehicle. The method also includes generating a regression vector using the wheel angle signals. The method also includes generating an estimated parameter vector using a recursive least squares algorithm, the regression vector and the vibration measurement signal. The method then calculates an imbalanced magnitude value of each wheel of the vehicle using the estimated parameter vector. The method uses a persistency of excitation test to determine whether the parameter... |
| Method and apparatus for dc offset compensation in a digital communication system | 20100284496 | 20101111 |
| A method of compensating for dc offset of a received signal transmitted over a channel having a plurality of paths, the received signal comprising a modulated data signal and a modulated known training sequence signal, the method comprising the steps of: constructing (104) from the known training sequence signal a first regression matrix; path-combining (106) the incrementally rotated elements of the first regression matrix to produce the elements of a trend matrix; deriving (108) a neutralized second regression matrix from the first regression matrix and the trend matrix; utilising the neutralized second regression matrix to compensate (110, 112) for dc offset of the received modulated data signal.
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| Biomarkers for fatty liver disease and methods using the same | 20100279956 | 20101104 |
| The present invention provides various biomarkers of fatty liver disease, including steatosis and steatohepatitis. The present invention also provides various methods of using the biomarkers, including methods for diagnosis of fatty liver disease, methods of determining predisposition to fatty liver disease, methods of monitoring progression/regression of fatty liver disease, methods of assessing efficacy of compositions for treating fatty liver disease, methods of screening compositions for activity in modulating biomarkers of fatty liver disease, methods of treating fatty liver disease, as well as other methods based on biomarkers of fatty liver disease.
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| Prediction method for monitoring performance of power plant instruments | 20100274745 | 20101028 |
| Disclosed is a prediction method for monitoring performance of power plant instruments. The prediction method extracts a principal component of an instrument signal, obtains an optimized constant of a SVR model through a response surface methodology using data for optimization, and trains a model using training data. Therefore, compared to an existing Kernel regression method, accuracy for calculating a prediction value can be improved.
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| Systems and methods for calibrating physiological characteristic sensors | 20100268477 | 20101021 |
| A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals, obtaining reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals, calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data, and calibrating the obtained glucose monitor data using the calibration characteristics. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression. Data integrity may be verified and the data may be filtered. Further, calibration techniques may be modified during a fast rate of change in... |
| Statistical interconnect corner extraction | 20090327989 | 20091231 |
| Various implementations of the invention provide methods and apparatuses that consider various inter/intra-die variations. In various implementations, a statistical parameter dimension reduction using linear reduced rank regression (RRR) is applied to dramatically reduce the high-dimensional variation sources while accurately capturing their impact on the resultant performance corners. With various implementations of the invention, an application specific corner finding algorithm is employed, the algorithm comprising timing metrics and an iterative output clustering operation.
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| Methods and systems for transforming logistic variables into numerical values for use in demand chain forecasting | 20090327027 | 20091231 |
| An improved method for forecasting and modeling product demand. The forecasting methodology employs a multivariable regression model to model the causal relationship between product demand and the attributes of past promotional activities. This improved forecasting methodology enhances the applicability of regression models when dealing with logistic variables. It provides a novel technique to transform such variables into numerical values, resulting in more accurate and more efficient regression models. Furthermore, the reduction in the number of variables improves the stability and predictive power of the regression models.
... |
| Method and system for determining state of charge of an energy delivery device | 20090326842 | 20091231 |
| A method of determining state of charge of an energy delivery device includes sampling voltage values of the energy delivery device during relaxation of the device. The method further includes regressing an open circuit voltage value and the total overpotential being relaxed. The regression includes a predetermined time constant of relaxation associated with the energy delivery device. One embodiment uses the equation V(t)=OCV−α exp(−t/tau), where V(t) represents the sampled voltage values, t represents times at which each of the voltage values are sampled, OCV represents the open circuit voltage value of the energy delivery device, α represents the overpotential value, and tau represents the time constant of relaxation. The method uses a predetermined profile that relates open circuit voltage of the energy delivery device to state... |
| Electroporation to deliver chemotherapeutics and enhance tumor regression | 20090326436 | 20091231 |
| A method is disclosed for disrupting capillary blood flow and trapping materials such as chemotherapeutic agents in undesirable tissue, including cells of a cancerous or non-cancerous tumor. The method involves the placement of electrodes into or near the vicinity of capillary vessels supplying blood to capillaries in the undesirable tissue, and application of electrical pulses causing capillary blood flow disruption. In some cases, the electric pulses irreversibly permeate the cell membranes, thereby invoking cell death. The irreversibly permeabilized cells are left in situ and are removed by the body's immune system. The process may further comprise monitoring blood flow and/or infusion of a material such as a chemotherapeutic agent or marker into the blood.
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| Methods for a movement and vibration analyzer | 20090326419 | 20091231 |
| The present patent describes a method for a Movement and Vibration Analyzer (MVA) based on Fast Fourier Transform spectral analysis, and empirical mode decomposition (EMD) for Hilbert transform of a timeseries recorded with an accelerometer attached to a human being or an object. The medical application is the detection of Parkinson's disease (PD) and other neurological motor disorders (Dystonias, Dyskinesias, Huntington's disease, Essential Tremor, Multiple System Atrophy (MSA), etc), which affects worldwide more than 5 million persons, where the highest percentage is in the ageing population. The industrial application is the study of vibration and maintenance of rotational devices (motors, turbines, and others which have an intrinsic sinusoidal likewise movement). An EMD is carried out on the acceleration signal which produces a collection of intrinsic mode... |
| Golf simulator products and methods | 20090325723 | 20091231 |
| Disclosed is an improved method of golf swing analysis. Data gathered from an optical swing pad is processed using various methods. The data is digitally sampled from an array of photo sensors, gathered into multiple frames and sent to a computer processor. Calculations are made from each combination of the frames. Regression analysis is performed on the calculations to determine the clubhead face angle. Using these analytical methods results are often obtained that rival those of more expensive golf swing analyzers such as launch monitors.
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| System and method for assessing cancer risk | 20090324049 | 20091231 |
| Methods and systems for determining a probabilistic assessment of a person developing cancer are disclosed. The probabilistic assessment may include receiving a digital breast image of a person, selecting a region of interest within the received breast image, and analyzing this selected region of interest with respect to texture analysis. A probabilistic assessment may then be determined through the use of a logistic regression model based on the texture analysis within the region of interest and personal risk factors. A probabilistic assessment may also be determined through the use of a linear regression model based on the texture analysis within the region of interest and a known cancer indicator or risk factor.
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| Consistent phrase relevance measures | 20090319508 | 20091224 |
| Two methods for measuring keyword-document relevance are described. The methods receive a keyword and a document as input and output a probability value for the keyword. The first method is a similarity-based approach which uses techniques for measuring similarity between two short-text segments to measure relevance between the keyword and the document. The second method is a regression-based approach based on an assumption that if an out-of-document phrase (the keyword) is semantically similar to an in-document phrase, then relevance scores of the in and out-of document phrases should be close to each other.
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| Machine-based learning for automatically categorizing data on per-user basis | 20090319456 | 20091224 |
| Architecture that employs machine-based learning to automatically categorize data on a per-user basis. Auto-tagging reduces the burden on infoworkers by creating a machine learning model to learn from user tagging behavior or preferences. Once this information is obtained, a trained model for this specific user is used to assign tags to incoming data, such as emails. The architecture finds particular applicability to compliance and message retention policies that otherwise would mandate extra work for the infoworker. The architecture learns the tagging behavior of a user and uses this learned behavior to automatically tag data based on the user's prior tagging habits. A regression algorithm is employed to process the training data according to an n-dimensional framework for prediction and application of the tag(s) to the incoming... |
| Diamond valuation method, apparatus and computer readable medium product | 20090319336 | 20091224 |
| Further it is an object of the present invention to provide a method for evaluating a diamond comprising the steps of selecting a diamond to value, determining the shape, size, color, clarity and cut of the selected diamond, determining a base price of the selected diamond, calculating the applicable discounts/premium for the parameters of the selected diamond, calculating a weightage for each parameter of the selected diamond for which a discount/premium is calculated, calculating a total adjusted price based on the discount/premium determined, the weightage determined and the base price determined in step d, and outputting the calculated total adjusted price. Further it is an object of the present invention to provide a method for determining the discounts/premium applicable to each parameter for a diamond—by selecting... |
| Workplace absenteeism risk model | 20090319297 | 20091224 |
| A computer-implemented process includes: collecting a plurality of data; implementing a model that uses the data to estimate or predict lost work time at an individual level; and computing absenteeism risk at the individual level. The model can include, for example an artificial neural network or a model that uses regression analysis.
... |
| Binary prediction tree modeling with many predictors and its uses in clinical and genomic applications | 20090319244 | 20091224 |
| The statistical analysis described and claimed is a predictive statistical tree model that overcomes several problems observed in prior statistical models and regression analyses, while ensuring greater accuracy and predictive capabilities. Although the claimed use of the predictive statistical tree model described herein is directed to the prediction of a disease in individuals, the claimed model can be used for a variety of applications including the prediction of disease states, susceptibility of disease states or any other biological state of interest, as well as other applicable non-biological states of interest. This model first screens genes to reduce noise, applies k-means correlation-based clustering targeting a large number of clusters, and then uses singular value decompositions (SVD) to extract the single dominant factor (principal component) from each cluster.... |
| Pulse oximetry and pulse oximeter | 20090318787 | 20091224 |
| A pulse oximetry includes: irradiating living tissue with a plurality of light beams of different wavelengths; receiving the light beams transmitted through or reflected from the living tissue and converting the received light beams to electric signals which correspond to the different wavelengths; time-segmenting time series data of the electric signals; calculating, with respect to each of the segmented time series data of the electric signals, a slope value of a regression line between each two of the electric signals; calculating SaO2 based on the slope value of each of the segmented time series data of the electric signals; constructing a histogram of SaO2 for each predetermined number of time segments; and obtaining a mode value from the histogram as SpO2 to be output of the... |
| Biomarkers for alzheimer's disease and methods using the same | 20090318369 | 20091224 |
| The present invention provides various biomarkers of Alzheimer's Disease (AD). The present invention also provides various methods of using the biomarkers, including methods for diagnosis of AD, methods of determining predisposition to AD, methods of monitoring progression/regression of AD, methods of assessing efficacy of compositions for treating AD, methods of screening compositions for activity in modulating biomarkers of AD, methods of treating AD, as well as other methods based on biomarkers of AD.
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| Spectrometric analyzing device and spectrometric analyzing method | 20090316152 | 20091224 |
| A spectrometric analyzing device is capable of analyzing a thin film with high accuracy by using light having an arbitrary wavelength, such as not only infrared light but also visible light, ultraviolet light and X-ray, and using whatever refractive index of a supporting member of the thin film. A spectrometric analyzing device comprises a light source (1), a polarizing filter (2), a detection unit (3), a regression operation unit (4) and an absorbance spectrum calculation unit (5). The light source (1) emits light at n different angles of incidence (θn) to a measurement portion. The polarizing filter (2) shields an s-polarized component. The detection unit (3) detects transmitted spectra (S). The regression operation unit (4) uses the transmitted spectra (S) and a mixing ratio (R) to... |
| Tool for predicting fault-prone software files | 20090313605 | 20091217 |
| A method, apparatus, and computer-readable medium for predicting the fault-proneness of code units (files, modules, packages, and the like) of large-scale, long-lived software systems. The method collects information about the code units and the development process from previous releases, and formats this information for input to an analysis stage. The tool then performs a statistical regression analysis on the collected data, and formulates a model to predict fault counts for code units of the current and future releases. Finally, the method computes an expected fault count for each code unit in the current release by applying the formulated model to data from the current release. The expected fault counts are used to rank the release units in descending order of fault-proneness so that debugging efforts and... |
| Computer-based vehicle order tracking system | 20090313072 | 20091217 |
| A computer-implemented system for receiving a delivery estimated time of arrival (ETA) of an expected vehicle at a customer location is provided. The system comprises at least one customer system for receiving the ETA of the expected vehicle at the customer location from at least one tracking tool. The at least one tracking tool is configured to receive historical vehicle order average information which corresponds to known ETAs of one or more delivered vehicles over a predetermined time frame. The at least one tracking tool is further configured to generate at least one linear regression model in response to the historical vehicle order average information to determine the ETA of the expected vehicle at the customer location.
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| Method and apparatus for starter motor diagnosis and prognosis using parameter estimation algorithm | 20090309530 | 20091217 |
| A system and method for determining the state of health of a starter motor to notify a vehicle driver of a potential starter motor failure before the failure actually occurs. The starter motor includes an armature and motor brushes each providing a resistance, and an armature coil providing an armature inductance. Further, the starter motor has a back EMF because of the starter motor being coupled to a flywheel and the vehicle engine. The system and method monitor the combined resistance of the armature and the motor brushes, the inductance of the armature and a back EMF constant of the motor, and provide a signal indicating a potential starter motor failure if any of these three values significantly deviates from nominal values. In one embodiment, the... |
| Systems and methods for determining skew contribution in lateral sheet registration | 20090309298 | 20091217 |
| This application relates to systems and methods for determining the lateral component of skew for a sheet of media. First, the skew angle of a sheet of media is determined. Then, the lateral component of the skew is determined. During a lateral registration operation, the lateral component of the skew is accounted and compensated for. In one implementation, the slope of the angle of the skew may be determined by taking the regression of the function characterizing the edge of the sheet as it passes an edge detection sensor.
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| System and method for automated testing of complicated dialog systems | 20090306995 | 20091210 |
| Embodiments of an automated dialog system testing method and component are described. This automated testing method and system supplements real human-based testing with simulated user input and incorporates a set of evaluation measures that focus on three basic aspects of task-oriented dialog systems, namely, understanding ability, efficiency, and the appropriateness of system actions. These measures are first applied on a corpus generated between a dialog system and a group of human users to demonstrate the validity of these measures with the human users' satisfaction levels. Results generally show that these measures are significantly correlated with these satisfaction levels. A regression model is then built to predict the user satisfaction scores using these evaluation measures. The regression model is applied on a simulated dialog corpus trained from... |
| Multidimensional process window optimization in semiconductor manufacturing | 20090306807 | 20091210 |
| A method for optimizing multiple process windows in a semiconductor manufacturing process is disclosed. The message comprises performing dependent variable composition on a plurality of dependent variables. Metrology data is joined with the dependent variables, and then a partial least squares regression is performed on the joined data set to obtain a prediction equation, and a variable importance prediction for each process window in a process window set. A set of product limited yield are derived, and the process window set is adjusted, and the yields recalculated, until an optimal process window set is derived.
... |
| Biomarkers downregulated in prostate cancer | 20090305257 | 20091210 |
| Biomarkers are identified by analyzing gene expression data using support vector machines (SVM), recursive feature elimination (RFE) and/or linear ridge regression classifiers to rank genes according to their ability to separate prostate cancer from normal tissue. Proteins expressed by identified genes are detected in patient samples to screen, predict and monitor prostate cancer.
... |
| Spectroscopic determination of enantiomeric purity | 20090302207 | 20091210 |
| A new method and strategy for the quantitative determination of enantiomeric purity that combines polarimetry, spectroscopy, and chemometric modeling. Spectral data is collected after a light beam is passed through a first polarimeter, a sample of a chiral compound, and a second polarimeter oriented at a 45 degree angle relative to the first polarimeter. The spectral data for samples of known enantiomeric composition is subjected to a type of multivariate regression modeling known as partial least squares (“PLS-1”) regression. The PLS-1 regression produces a mathematical model that can be used to predict the enantiomeric composition of a set of samples of unknown enantiomeric purity.
... |
| Method and system for correcting spectrophotometer differences | 20090296074 | 20091203 |
| A method and system are provided to correct differences among multiple spectrophotometers. In one form, one spectrophotometer of a plurality that may be present in an image rendering system is treated as “primary”. Additional spectrophotometers are treated as “secondary”. The spectrum of a color from a secondary spectrophotometer is transformed by a linear transformation to an adjusted spectrum, which then is converted to L*a*b* (if desired) using standard techniques. The L*a*b* thus produced is, on average, substantially closer to the L*a*b* that the primary spectrophotometer would have produced when measuring the same color than it is to the L*a*b* that the secondary spectrophotometer would have produced without any correction. The linear transformation is generated by linear regression to minimize the spectral error, followed by non-linear optimization... |
| Method for determination of the total acid number and naphthenic acid number of petroleum, petroleum cuts and petroleum emulsions of water-in-oil type by mid-infrared spectroscopy | 20090294672 | 20091203 |
| The present invention relates to a method for the determination of the total acid number and naphthenic acid number of petroleum, petroleum cuts and petroleum emulsions of water-in-oil type by mid-infrared spectroscopy utilising correlation between data gathered by means of absorption spectrums obtained with a Fourier-transform infrared spectrophotometer operating in the mid-infrared band equipped with an attenuated total reflectance (ATR) accessory, and acidity results obtained through reference methods utilising a multivariate regression model.
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| Manufacturing instruction evaluation support system, manufacturing instruction evaluation support method, and manufacturing instruction evaluation support program | 20090292384 | 20091126 |
| A manufacturing instruction evaluation support system includes a data reading part that reads a manufacturing instruction parameter group and manufacturing performance data corresponding thereto, a parameter sorting part that calculates a risk rate for each manufacturing instruction parameter configuring the manufacturing instruction parameter group and an average value of risk rates among the manufacturing instruction parameters to identify as available choices the manufacturing instruction parameters having the risk rates no greater than the average value, a parameter identifying part that calculates an explanatory variable selection reference value for the manufacturing instruction parameter group and the manufacturing instruction parameters of the available choices with the multiple regression analysis program to identify the manufacturing instruction parameter group or the manufacturing instruction parameters of the available choices having the... |
| Barb4 target, antibody designated barb4, barb4 related antibodies, and methods of making and using same | 20090291083 | 20091126 |
| The invention provides antibodies, functional fragments, modified and variant forms, antibody targets, nucleic acid and other compositions. Antibodies, functional fragments, modified and variant forms, nucleic acid and other compositions are useful in treatment, diagnostic and vaccination methods. One treatment method includes inhibiting growth or proliferation of proliferating cells, such as hyperproliferative cells or inducing regression of hyperproliferative cells, such as cells of a cellular hyperproliferative disorder.
... |
| Feature based neural network regression for feature suppression | 20090290779 | 20091126 |
| A method of obtaining one or more components from an image may include normalizing and pre-processing the image to obtain a processed image. Features may be extracted from the processed image. Neural-network-based regression may then be performed on the set of extracted features to predict the one or more components. These techniques may be applied, for example, to the problem of extracting and removing bone components from radiographic images, which may be thoracic (lung) images.
... |
| Call amount estimating method | 20090290700 | 20091126 |
| A management server 10 stores past record data regarding the call volume by collecting from an exchanger, classifies the past record data in accordance with segments: a 7-day period in a month starting from the beginning of a month; a day of the week; and a predetermined period of time in a day, for a predetermined term in the past, obtains a multiple regression equation having the call volume as an objective variable, based upon the past record data thus classified, by performing a multivariate analysis for each day of the week, and calculates the call volume in a term that is specified by a user based upon the multiple regression equation.
... |
| Systems and methods for step discontinuity removal in real-time pcr fluorescence data | 20090287754 | 20091119 |
| Systems and methods for removing jump discontinuities in PCR or growth data. A first approximation to a curve that fits a received data set is determined by applying a non-linear regression process to a non-linear function that models the data set to determine parameters, including a step discontinuity parameter, of the non-linear function. One example of a non-linear function is a double sigmoid equation. A second approximation to a curve that fits the data set is also determined by applying a regression process to a second non-linear function to determine parameters, including a step discontinuity parameter, of the second function. One of the first or second approximations is then selected based on an information coefficient determined for each of the first and second approximations. If a... |
| Methylene-bridged selective androgen receptor modulators and methods of use thereof | 20080319009 | 20081225 |
| This invention provides a class of androgen receptor targeting agents (ARTA). The agents define a new subclass of compounds, which are selective androgen receptor modulators (SARM). Several of the SARM compounds have been found to have an unexpected androgenic and anabolic activity of a nonsteroidal ligand for the androgen receptor. Other SARM compounds have been found to have an unexpected antiandrogenic activity of a nonsteroidal ligand for the androgen receptor. The SARM compounds, either alone or as a composition, are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia, osteoporosis, benign prostate hyperplasia,... |
| Systems and methods for analyzing microarrays | 20080319679 | 20081225 |
| The present invention discloses methods and systems for analyzing microarray data. The method includes the general steps of providing microarray data, normalizing the data using a least trimmed squares regression, and then analyzing the normalized microarray data to obtain a desired result such as an expression profile. There is also disclosed a method of subdividing an array into subarrays before normalization. This approach provides a method for improving measurement accuracy and salvaging array data from arrays containing minor defects. Also disclosed is a Probe-Treatment-Reference (PTR) model for streamlining normalization and summarization of microarray data by allowing multiple references. Other aspects of the present invention include computer systems and computer readable media encoding methods of the present invention.
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| Sequential regression for calibration from residues | 20080309767 | 20081218 |
| A system for and method of calibrating an imaging device efficiently is described herein. The imaging device acquires an image of an object that is more than one color. The information acquired is then transferred to a computing device. The information is then used to generate a set of data which represents information which was not acquired in the image. The set of data is generated based on statistical prediction using a training data set. Using acquired image information and the set of data, an imaging device is able to be calibrated. Since the process of calibration utilizing this method only requires one image to be acquired and a reduced set of image information to be sent to the computing device, the process is more efficient... |
| Adaptive prediction of calibration parameters for color imaging devices | 20080309968 | 20081218 |
| A method of and system for calibrating an imaging device is described herein. An iterative method that attempts to find the best calibration parameters conditional upon an error metric is used. Regression is used to estimate values in a color space where the calibration is performed based upon a training data set. More calculation steps are required than would be for a regression in raw RGB space, but the convergence is faster in the color space where the calibration is performed, and the advantages using boundary conditions in the color space is able to provide improved calibration.
... |
| Direct calibration of color imaging devices | 20080310710 | 20081218 |
| A system for and method of determining calibration parameters while only capturing a single image is described herein. Furthermore, traditional calibration algorithms are avoided by the direct determination of the calibration parameters. The determination of the calibration parameters is possible by first determining a training data set from images acquired of a variety of objects with a multitude of colors. Then, using the training data set, regression coefficients are generated. A camera to be calibrated then acquires only one set of image information such as a single picture. Then, using the regression coefficients and the acquired information, the calibration parameters are directly estimated for that camera.
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| Wireless base station for communications network | 20080304442 | 20081211 |
| A wireless base station includes: a trend factor regression expression calculator for determining, on the basis of measured wireless communication environment factor, the trend of the variation in the environment factor; a trend prediction value calculator for calculating, on the basis of the determined trend of the variation in the environment factor, the environment prediction value; an irregular variation factor calculator for calculating, on the basis of the difference between the determined trend of the environment factor variation and the measured environment factor, the magnitude of correction to be applied to the environment prediction value; and a radio environment prediction correction unit for correcting the environment prediction value according to the tolerance of the base station for its communication failure risk.
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| Systems and media for generating a regression suite database | 20080307263 | 20081211 |
| Systems and media for generating an improved regression suite by applying harvesting models and/or regression algorithms to tests utilized in verification of a system are disclosed. In one embodiment, a regression manager responsive to user input may be coupled to a harvester module, an analysis module, and a management module. In one embodiment, the harvester module is responsive to harvesting models defined in a modeling language, where the harvester module is coupled to a regression suite database. In another embodiment, a regression methodology may be defined from a collection of regression strategies and each regression strategy may be defined from a combination of harvesting models and/or regression algorithms. A regression generator to receive tests, to apply one or more regression strategies to the tests, to provide... |
| Method of correlating internal tissue movement | 20080300502 | 20081204 |
| Internal tissue movement is correlated with the external body surface movement by tracking external surface movement at a plurality of surface point (12), simultaneously imaging internal tissue movement and correlating the external and internal movement using partial least squares regression to obtain a correlation model. In subsequent techniques, internal tissue movement can be predicted from measured external surface movement using the correlation model.
... |
| Identification of users for advertising using data with missing values | 20080300964 | 20081204 |
| A method and system for identifying users for advertising. Users, attributes, and first web sites provided by ISPs accessed by the users are identified. First data including content of the first web sites and user time spent thereon are received from ISPs and analyzed to determine first attribute values indicative of user interest. Second data received from ISPs include content of second web sites and user time spent thereon. Second attribute values, derived from questionnaires completed by the users, indicate interest in each attribute by each user. Third attribute values are determined by combining the first and second attribute values. The third attribute values are processed to identify users to which a product or service may be advertised. The identified users are communicated to a service... |
| System and method for determining a real estate property valuation | 20080301064 | 20081204 |
| Methods and systems for establishing a contemporaneous Real Estate property valuations are disclosed. In accordance with one aspect of the invention, this is based upon first identifying a set of relevant value indicators, or Fields, and then producing a comprehensive Multiple Regression Analysis which statistically measures the relative value of Real Estate properties included in the Set.
... |
| System and method for medical predictive models using likelihood gamble pricing | 20080301077 | 20081204 |
| A method for predicting survival rates of medical patients includes providing a set D of survival data for a plurality of medical patients, providing a regression model having an associated parameter vector β, providing an example x0 of a medical patient whose survival probability is to be classified, calculating a parameter vector {circumflex over (β)} that maximizes a log-likelihood function of β over the set of survival data, l(β... |
| Compounds with atypical antipsychotic activity | 20080293689 | 20081127 |
| where the meanings of the various groups are as described here below, are endowed with activity characteristic of atypical antipsychotic agents, and therefore are useful as medicaments, particularly for the treatment of schizophrenia, paranoid states, manic-depressive states, affective disorders, social regression, personality regression and hallucinations.
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| Quantitative evaluation and image analysis of choroidal neovascular membrane and other retinal and subretinal lesions | 20080294349 | 20081127 |
| The present invention can be a method to allow a user to extract and calculate objective data in a reproducible indicator of the initial evaluation, progression or regression of the activity of choroidal neovascularization or other retinal and subretinal lesions summarized as a single number. The method can be applied to either OCT, FA or both as diagnostic tools depending upon the preference of the user and can be used as the steps of Data Collection, Data and Image Analysis, and Computations. The present invention further provides a user a formula for Approximate Lesion Volume, Flourescein index, the change in the flourescein index, lesion volume index, the active lesion volume change, or the regression factor as well as the severity index. The present invention can also... |
| Method and a tool for measuring the formation and effects of workplace friendships | 20080294506 | 20081127 |
| A method and a tool to measure workplace friendship formation and its effects on individual and organizational job outcomes. The tool comprises one or more items that measure the formation of workplace friendships (1). Various items measure different or overlapping categories. The items are presented as a survey (45) that an individual or a plurality of individuals complete (46, 59). After the individual completes the survey, the scores on the items that measure each of the different categories of formation is aggregated (47) and divided by the number of items per category (48, 60). A total score is calculated per category allowing comparison of the scores on each of the various categories of workplace friendship formation (49). The category with the highest score is an individual's... |
| Method and device for characterizing analyte using electro-optically modulated surface plasmon resonance based on phase detection | 20080285033 | 20081120 |
| A method and a device for detecting object properties using electro-optically modulated surface plasmon resonance (SPR) based on phase detection is disclosed. In the case of a surface plasmon resonance sensing device according to the present invention, the voltage is applied on the sensing device made of an electro-optic material to modulate the surface plasmon resonance condition by varying the wavevector of the incident lightwave. The relation between the phase of output optical wave and the applied voltage is measured, and the solution concentration or the material property is obtained by using the slope of a regression straight line of this relations. The invention can be used in the experimental arrangements of the attenuated-total-reflection (ATR) structure and the optical waveguide structure, and has advantages of high... |
| Studying aesthetics in photographic images using a computational approach | 20080285860 | 20081120 |
| The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings.
... |
| System and method for analyzing bowling ball motion | 20080287204 | 20081120 |
| A system and method for graphically and statistically analyzing and predicting the motion of a bowling ball. In one embodiment, the system includes an automatic precision ball thrower, a computer aided tracking system (“C.A.T.S.”), and a computing device. Certain static properties of the bowling ball are recorded as independent variables. The automatic precision ball thrower is used to throw the bowling ball down the lane a number of times and the C.A.T.S. records various dynamic characteristics of its path. This data is received by the computing device which uses it to calculate a plurality of dependent variables associated with the path of the bowling ball. The computing device relates the independent variables to the dependent variables using multivariable regression analysis, yielding a set of equations which... |
| Algorithms to predict clinical response, adherence, and shunting with thiopuriness | 20080288227 | 20081120 |
| A method of using a variable set from complete blood counts and blood chemistry panels to generate a machine learned algorithm for determining the effectiveness of thiopurine treatment on inflammatory bowel disease (IBD) patients using CART, boosted trees, random forest classification, RuleFit and/or logistic regression analysis.
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| System and method for large scale code classification for medical patient records | 20080288292 | 20081120 |
| A method for training classifiers for ICD-9 patient codes includes providing a set of documents regarding patient hospital visits, combining the documents for each patient visit to create a hospital visit profile, defining a feature as an ngram with a frequency of occurrence greater or equal to a predetermined value that does not appear in a standard list of ngrams, processing the profiles to remove redundancy at a paragraph level and perform tokenization and sentence splitting, performing feature selection, randomly dividing the documents into training, validation, and test sets, and training a set of binary classifiers using a weighted ridge regression, each binary classifier targeting a single ICD-9 code using the training set, wherein each classifier is adapted to determining a specific ICD-9 code by analyzing... |
| Method(s) of preventing, arresting, reversing and treatment of atherosclerosis | 20080279925 | 20081113 |
| A method of preventing, arresting, reversing and treatment of atherosclerosis by enhancing the activities of Δ6 and Δ5 desaturases such that the cell, tissue, and plasma levels of various polyunsaturated fatty acids (PUFAs) and, in particular that of endothelial cells lining the blood vessels will increase. More particularly, the invention is directed to enhance the activities of Δ6 and Δ5 desaturases that, in turn, will lead to increased production of products of polyunsaturated fatty acids such as prostacyclin (PGI2), PGI3, lipoxins, resolvins, protecting, PGE1 (prostaglandin E1), nitric oxide, and nitrolipids such that atherosclerotic process will be prevented, arrested, reversed and this will lead to efficient arrest, regression, prevention and/or treatment of even established atherosclerosis and its associated conditions. More particularly, the invention is directed to the... |
| Apparatus and method for evaluating optical system | 20080281556 | 20081113 |
| An apparatus is for evaluating optical characteristics of an optical system based on an image forming position of a point image formed through the optical system. The apparatus includes a point image producing unit that forms a point image through the optical system in each point light source; an imaging unit that images the point images to produce a point image distribution image; and a moving unit that changes relative distance between the optical system and the point light source or the imaging unit in an optical axis direction. The apparatus also performs processing of detecting an image forming position in each different relative distance of the point image based on image information of the point image distribution images, the processing including calculating a regression expression... |
| Self tuning database retrieval optimization using regression functions | 20080275841 | 20081106 |
| A system and method for accessing a relational database and estimating the selectivity of a query (e.g., an SQL query) in order to better predict the number of qualifying records for simple and complex queries. A dataset is created based upon queries applied against the database by the user community. The dataset is populated with information related to query conditions and their respective combinations. A regression function reflecting correlations between query conditions is generated and used as a data mining model to calculate table-specific estimates for the cardinality of subsequent queries. An appropriate access method is then selected from a set of available access methods based upon the number of estimated query-qualifying records. By periodically updating the regression model with FIFO managed queries, a self-tuning mechanism... |
| System and method for smoothing hierarchical data using isotonic regression | 20080275890 | 20081106 |
| An improved system and method is provided for detecting a web page template. A web page template detector may be provided for performing page-level template detection on a web page. In general, the web page template classifier may be trained using automatically generated training data, and then the web page template classifier may be applied to web pages to identify web page templates. A web page template may be detected by classifying segments of a web page as template structures, by assigning classification scores to the segments of the web page classified as template structures, and then by smoothing the classification scores assigned to the segments of the web page. Generalized isotonic regression may be applied for smoothing scores associated with the nodes of a hierarchy... |
| System and method for detecting a web page | 20080275901 | 20081106 |
| An improved system and method is provided for detecting a web page template. A web page template detector may be provided for performing page-level template detection on a web page. In general, the web page template classifier may be trained using automatically generated training data, and then the web page template classifier may be applied to web pages to identify web page templates. A web page template may be detected by classifying segments of a web page as template structures, by assigning classification scores to the segments of the web page classified as template structures, and then by smoothing the classification scores assigned to the segments of the web page. Generalized isotonic regression may be applied for smoothing scores associated with the nodes of a hierarchy... |
| Method for determining residual battery charge | 20080265840 | 20081030 |
| A method is provided for determining a residual charge on a battery (12), comprising applying a discharge pulse to the battery (12) and measuring a first voltage on the battery (12) at a first time (t1). Additional voltages on the battery are measured at additional times (t2, t3) subsequent to the first time (t1). Delta voltages (ΔV1, ΔV2) are determined by subtracting each of the additional voltages from the first voltage and delta times (Δt1, Δt2) are determined by subtracting the first time from each of the additional times. Regression equation coefficients (α, ε) are determined from regression analysis of the delta voltages and delta times, and are applied to a database for determining the residual charge.
... |
| Synergistic effect of tgf-beta blockade and immunogenic agents on tumors | 20080267964 | 20081030 |
| Methods are provided herein for synergistically affecting tumor growth in a subject, involving the administration to the subject of an agent that blocks the TGF-β signaling pathway in combination with an immunogenic agent. The agent that blocks the TGF-β signaling pathway is believed to inhibit the immunosuppressive effects of TGF-β, while the immunogenic agent is believed to enhance an immune response. Surprisingly, the combination of such elements produces a synergistic effect. In one embodiment, the administration of the 1D11.16 anti-TGF-β antibody in combination with the human papilloma virus E7(49-57) peptide enhances tumor regression and tumor-specific CTL response in the subject. In another embodiment, the administration of the 1D11.16 anti-TGF-β antibody in combination with irradiated CT26 cells enhances tumor regression in the subject. The method of administering... |
| Nonparametric method for determination of anomalous event states in complex systems exhibiting non-stationarity | 20080270071 | 20081030 |
| According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events.
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| System for improving the performance of a computer software application in a server network | 20080270526 | 20081030 |
| Method and apparatus for separating background utilization from transaction resource consumption to simulate resource costs on system servers including a computer application server is taught. Transaction throughput combined with resource consumption data. Regression analysis on the resulting data set provides information useful for determining performance and for creating discrete event simulations. In a first embodiment, data from an application server is combined with the application transaction log to find a background utilization on the application servers and to simulate transaction resource cost with a background load. In a second embodiment, data from servers other than the application server are combined with the application transaction log to estimate the resource cost per transaction for a given resource in the system. In a third embodiment, data from servers... |
| Method for automatic detection of build regressions | 20080270995 | 20081030 |
| A method and apparatus for automatically performing regression processing on trace data are provided. With the apparatus and method, call tree data structures are generated for two or more executions of two or more builds of a computer program. The apparatus and method perform a “tree-minimization” operation on each set of call tree data structures for each of the builds to generate minimized call tree data structures for each build of the computer program. The minimized call tree data structures are then subtracted from one another to generate a subtracted minimized call tree data structure. From this subtracted minimized call tree data structure, the portions of the computer program that are different from build to build and which appreciably and consistently affect the difference in execution... |
| Independent positioning device and independent positioning method | 20080258966 | 20081023 |
| The receiver's position has been linear-approximated by using the estimation results of the passed receiver's positions. Applying a least square method to the regression equation, the integer ambiguity and the receiver's position is estimated.
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| Biomarkers for amyotrophic lateral sclerosis and methods using the same | 20070298998 | 20071227 |
| The present invention provides various biomarkers of amyotrophic lateral sclerosis (ALS). The present invention also provides various methods of using the biomarkers, including methods for diagnosis of ALS, methods of determining predisposition to ALS, methods of monitoring progression/regression of ALS, methods of assessing efficacy of compositions for treating ALS, methods of screening compositions for activity in modulating biomarkers of ALS, methods of treating ALS, as well as other methods based on biomarkers of ALS.
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| Image control system and method | 20070291289 | 20071220 |
| A color image control system and method are provided for improving the image control of printing systems, including digital front-end processors, color printers and post-finishing system. This automatic image control system, including measurement and calibration, by registering the captured reproduced document with the extracted virtual device document and automatically locating a plurality of regions in which to measure captured color values, using colorimetric measurements of an aim reproduction of the document at these same region positions, and finally relating the captured color values, the colorimetric color values, and the virtual device color values to create the an accurate color mapping. One embodiment of this method combines a global regression polynomial with local mapping refinement.
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| Prediction of estrogen receptor status of breast tumors using binary prediction tree modeling | 20070294067 | 20071220 |
| The statistical analysis described and claimed is a predictive statistical tree model that overcomes several problems observed in prior statistical models and regression analyses, while ensuring greater accuracy and predictive capabilities. Although the claimed use of the predictive statistical tree model described herein is directed to the prediction of estrogen receptor status in individuals, the claimed model can be used for a variety of applications including the prediction of disease states, susceptibility of disease states or any other biological state of interest, as well as other applicable non-biological states of interest. The model includes the use of iterative out-of-sample, cross-validation predictions leaving each sample out of the data set one at a time, refitting the model from the remaining samples and using it to predict the... |
| Tumour necrosis factor binding ligands | 20070287177 | 20071213 |
| The present invention relates to cell lines that produce ligands that bind to human tumour necrosis factor alpha (TNF) in a manner such that upon binding of these ligands to TNF the biological activity of TNF is modified. In preferred forms cell lines produce ligands that bind to TNF in a manner such that the induction of endothelial procoagulant activity of the TNF is inhibited; the binding of TNF to receptors on endothelial cells is inhibited; the induction of fibrin deposition in the tumour and tumour regression activities of the TNF are enhanced; and the cytotoxicity and receptor binding activities of the TNF are unaffected or enhanced on tumour cells. The ligand is preferably an antibody, F(ab) fragment, single domain antibody (dABs), single chain antibody or... |
| Macromolecular gsh-activiated glyoxylase i inhibitors | 20070287672 | 20071213 |
| This invention relates to macromolecular prodrugs having antitumor activity when activated by GSH, and methods for synthesizing and administering these to patients. More particularly, this invention relates to, inter alia, the synthesis and use of polyacrylamide carriers to target anticancer prodrugs to tumors, and to release active antitumor agents selectively in tumor cells. These active antitumor agents target the active site of the methylglyoxal-detoxifying enzyme glyoxalase I to thereby cause tumor regression.
... |
| Method and apparatus for processing data, and computer product | 20070288105 | 20071213 |
| Abnormal values of an objective variable are removed. A degree of association between an objective variable and a plurality of explanatory variables is calculated. A plurality of explanatory variables having a high degree of association are extracted. A degree of independence between the explanatory variables is calculated. A plurality of candidates of explanatory variables with a high possibility of having a great effect on the objective variable are selected based on the degree of association and the degree of independence. An explanatory variable having a high rate of contribution to the objective variable is selected from among the candidates, based on the cumulative contribution rate, and a regression equation is calculated to estimate a value of the objective variable. The same processing is repeated, using the... |
| Regression analysis apparatus and method | 20070288199 | 20071213 |
| A variance-covariance matrix of a matrix having a combination of multivariate data and objective variables is obtained, and multiple eigenvalues and their corresponding eigenvectors are calculated by eigenvalue decomposition of the variance-covariance matrix. Accumulated contributions are calculated from the multiple eigenvalues in descending order of absolute value of the eigenvalues. Regression coefficients are calculated from eigenvalues and eigenvectors that correspond to accumulated contributions that exceed a predetermined value.
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| Failure prevention diagnosis support system, failure prevention diagnosis support method, and program product of failure prevention diagnosis support | 20070280706 | 20071206 |
| A failure prevention diagnosis support system includes: an acquiring portion that acquires internal information about an internal state of an image forming apparatus; a storage portion that stores one or a plurality of logistic regression models that define an estimate value of a regression coefficient through a logistic regression analysis using the internal information obtained when the image forming apparatus is in a failed state and in a normal state; and a controller that performs a control operation to select a logistic regression model from the one or the plurality of the logistic regression models stored in the storage portion in accordance with the image forming apparatus, and to calculate risk degrees as objective variables that are indicators of failure degrees in the image forming apparatus... |
| Tumour necrosis factor binding ligands | 20070280932 | 20071206 |
| The present invention relates to ligands that bind to human tumour necrosis factor alpha (TNF) in a manner such that upon binding of these ligands to TNF the biological activity of TNF is modified. In preferred forms the ligand binds to TNF in a manner such that the induction of endothelial procoagulant activity of the TNF is inhibited; the binding of TNF to receptors on endothelial cells is inhibited; the induction of fibrin deposition in the tumour and tumour regression activities of the TNF are enhanced; and the cytotoxicity and receptor binding activities of the TNF are unaffected or enhanced on tumour cells. The ligand is preferably an antibody, F(ab) fragment, single domain antibody (dABs), single chain antibody or a serum binding protein. It is preferred,... |
| Drug delivery of a cox inhibitor from embolic agents | 20070281028 | 20071206 |
| A pharmaceutical composition for malignant tumour embolisation comprises a polymer and, associated with the polymer in a releasable form, a COX inhibitor, e.g. a non-steroidal anti inflammatory drug, such as ibuprofen. The polymer is preferably-in particulate form, such as in the form of microspheres. A suitable polymer is a crosslinked polyvinyl alcohol polymer formed by the copolymerisation of PVA macromer with other ethylenically unsaturated monomers. The composition provides a synergistic treatment for the symptoms of malignant tumours, leading to tumour necrosis or ischaemia, with anti-angiogenic effects, promotion of apoptosis, decrease in invasiveness of tumour cells and resultant tumour regression.
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| System and method for controlling a rotary blood pump | 20070282298 | 20071206 |
| A method of and apparatus for controlling the speed of a rotary blood pump, which comprises the measuring the speed and/or power of said pump, calculating an array of system parameters derived from the measured speed, analysing these parameters, and if the analysis indicates ventricular collapse or imminent ventricular collapse, then the speed of said pump is altered, to minimise the risk of the collapse occurring. Preferably the analysis is done using a Classification and Regression Tree (CART) analysis.
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| System and method for retrieving and intelligently grouping definitions found in a repository of documents | 20070282780 | 20071206 |
| A system and method for retrieving and intelligently grouping definitions with common semantic meaning is disclosed. In response to a user's textual query for the definition of a term or phrase, a set of documents is retrieved from a repository of structured documents. The retrieved documents are labeled with a prediction score based upon predetermined glossary characteristics of the documents. In order to determine whether the retrieved documents are likely to be definitions, features commonly found in definitions are identified. The identified features are classified with numeric values and weighed using a support vector regression algorithm. Definitions that fail to meet a predetermined threshold score are discarded, and those that exceed a predetermined threshold score are labeled and stored in the local database.
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| Induction of cellular senescence by cdk4 disruption for tumor suppression and regression | 20070275918 | 20071129 |
| The invention provides methods of inhibiting growth of tumor cells comprising contacting the cells with a Cdk4 inhibitor. The invention also provides methods of treating patients having, suspected of having, or at a high risk for developing, a cancer, comprising treatment with a Cdk4 inhibitor. The invention also relates to pharmaceutical compositions for treating such patients, wherein the pharmaceutical compositions comprise a Cdk4 inhibitor. The invention further relates to Cdk4 siRNA molecules capable of inhibiting Cdk4 expression or activity.
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| Screening method and system to estimate the severity of injury in critically ill patients | 20070276275 | 20071129 |
| Estimated heart rate variability (HRV) may be used to determine a heart rate variability index. Based on a relationship between one or more variables and the HRV, a multiple regression analysis may be performed to reduce a confounding effect of the one or more variables on a relationship between the heart rate variability index and the one or more variables. This index may then be normalized from 0-100. A computer, or other suitable device, operatively connected to a field monitor capable of taking an EKG, may determine an HRV index, which can then be used to determine the likelihood of a variety of medical conditions. These conditions can include such things as the likelihood of an abnormality were a computed axial tomography scan to be performed,... |
| Computer system and methods for constructing biological classifiers and uses thereof | 20070269804 | 20071122 |
| The present invention provides systems and method for constructing classifiers that distinguish between trait subgroups using molecular marker data from blood samples. The invention further encompasses the use of the classifiers and combinations of molecular markers identified by the classifiers in a wide variety of applications including: diagnosis; prognosis; prediction of disease, stage of disease or disease risk; monitoring disease progression and/or regression; monitoring disease reoccurrence and identifying risk of disease reoccurrence; determining and/or predicting response to treatment and/or treatment outcomes; monitoring and/or predicting treatment compliance or non compliance and the like. The invention further provides a variety of selected molecular markers and a means to identify combinations of the selected molecular markers useful for diagnosing particular traits of interest.
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| Protein markers associated with bone marrow stem cell differentiation into early progenitor dendritic cells | 20070269867 | 20071122 |
| A novel cytosolic 58 kd phosphoprotein induced during bone marrow stem cell (BMS) differentiation into dendritic cells (DC) during in vitro cultivation with the cytokine GM-CSF by addition of antisera to an 82 kd BM cell surface protein generating cultivatable dendritic progenitor cells (DP). Genes, methods for preparing them as well as early DP have been provided. Potential uses/advantages lie in the study of BM differentiation and innate immunity due to stimulatory/inhibitory DC, contribution of BMS and DP to inflammation during infection and carcinogenesis, tumor promotion/regression, identification of BM-derived blood cells, T-cell activation/regulation/tolerance and inflammation.
... |
| Dealkylated derivatives of pyrrolo[2,1-b]benzothiazepines with atypical antipsy-chotic activity | 20070270402 | 20071122 |
| Derivatives of pyrrolo[2,1-b]benzothiazepines with formula (I) where A is CH—CH2C═CH; R is hydrogen, halogen, C1-C4 alkoxy, C1-C4 alkylthio, C1-C4 alkyl, C5-C6 cycloalkyl; R1 is 1-peperazinyl, 1-homopiperazinyl and 1-piperidinyl; R2 is hydrogen, C1-C4 alkoxy, C1-C4 alkylthio, C1-C4 alkyl, CHO, CH═NOH,CH2OH. The formula (I) compounds are endowed with characteristic atypical anti-psychotic activity, and are therefore useful as medicaments, in particular for the treatment and prevention of schizophrenia, paranoid states, manic-depressive states, disorders of the affective sphere, social regression, personality regression, and hallucinations. Said compounds also present advantageous pharmacokinetic properties.
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| System and method for generating a yield model for an integrated circuit fabrication process and method of manufacturing an integrated circuit using the yield model | 20070270994 | 20071122 |
| A system for, and method of, generating a yield model pertaining to an integrated circuit (IC) fabrication process and a method of manufacturing an IC using the yield model. In one embodiment, the method of generating includes: (1) selecting X-variables as candidates for incorporation into the yield model, (2) sorting the candidates into an order based on a ranking criterion and (3) introducing the candidates in the order into a stepwise forward regression model until a marginal significance associated with a candidate to be introduced into the model falls below a threshold.
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| Method, system and program product for automated testing of changes to exernalized rules | 20070271208 | 20071122 |
| A method of testing changes to externalized rules is provided. The method comprises using a rules change management engine and receiving from it a test request for a rules change for a rule. Further, the method comprises providing regression test buckets for testing a version of a rule against each of a plurality of exploiting systems that exploits the rule, and determining for the test request for the rules change received, which of the regression test buckets should be executed against which of the plurality of exploiting systems that exploits the rule and running, using a test rules management system, the regression test buckets that are determined should be executed. The method further comprises reporting results of the regression test buckets that are run to the... |
| Heterocyclic selective androgen receptor modulators and methods of use thereof | 20070265290 | 20071115 |
| This invention provides a class of androgen receptor targeting agents (ARTA). The agents define a new subclass of compounds, which are selective androgen receptor modulators (SARM). Several of the SARM compounds have been found to have an unexpected androgenic and anabolic activity of a nonsteroidal ligand for the androgen receptor. Other SARM compounds have been found to have an unexpected antiandrogenic activity of a nonsteroidal ligand for the androgen receptor. The SARM compounds, either alone or as a composition, are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia, osteoporosis, benign prostate hyperplasia,... |
| Formulations and methods for vascular permeability-related diseases or conditions | 20070265294 | 20071115 |
| Described herein are formulations and methods for treating, inhibiting, preventing, delaying onset, or causing regression of a disease or condition relating to vascular permeability.
... |
| Drug delivery from embolic agents | 20070258939 | 20071108 |
| A pharmaceutical composition for embolisation of blood vessels, especially for benign tumours, comprises a polymeric embolic agent and, associated with the polymer in a releasable form, a local anaesthetic agent. The polymer is preferably in particulate form, such as in the form of microspheres. A suitable polymer is a crosslinked polyvinyl alcohol polymer formed by the copolymerisation of PVA macromer with other ethylenically unsaturated monomers. The composition provides a synergistic treatment for the symptoms of tumours such as uterine fibroids, leading to size regression as well as pain relief.
... |
| Coadministration of radiation, efaproxiral sodium, and supplemental oxygen for the treatment of cancer | 20070259966 | 20071108 |
| Disclosed is a method of treating a cancer of the central nervous system in a host including administering radiation to the host; and administering efaproxiral sodium plus supplemental oxygen to the host; wherein the radiation and efaproxiral sodium and supplemental oxygen are administered in amounts effective to cause the arrest or regression of the cancer of the central nervous system in the host.
... |
| Method and apparatus for processing signals reflecting physiological characteristics from multiple sensors | 20070260132 | 20071108 |
| The invention comprises a method and apparatus for processing signals reflecting a physiological characteristic by performing an error minimizing mathematical combination between signals from at least two independent sensors. For example, the intensity of light is detected following tissue absorption at two wavelengths and the signals are corrected. Preferably, corrected intensity signals are derived by orthogonal regression. In one embodiment, the method and apparatus are used to determine arterial oxygen saturation.
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| Process fault analyzer and method and storage medium | 20070255442 | 20071101 |
| The process fault analyzer includes a process data editing part for extracting a process characteristic quantity from process data in a time series stored in a process data storing part, a fault analysis rule data storing part for storing a fault analysis rule for performing fault detection on a product manufactured in a manufacturing system and on manufacturing equipment, based on the process characteristic quantity, and a fault determining part for determining existence/absence of a fault in a product and in manufacturing equipment based on the process characteristic quantity. A partial least square regression (PLS) model is used as an estimation model used for the fault analysis rule. Also, Q statistics and T2 statistics are used, and the fault determining part determines a fault in manufacturing... |
| Methods and systems for segmentation using multiple dependent variables | 20070255645 | 20071101 |
| Provided are systems and methods for partitioning of segments in a consumer segmentation tree. Segments can be defined based on regression tree analysis.
... |
| Method and apparatus for generating performance curves | 20070247464 | 20071025 |
| A system and a method are set forth for generating performance curves for enabling user customized marketing communications proficiency and performance optimization, comprising collecting and storing historical vehicle data and response data relating for a marketing plan, normalizing the data to a standardized schema, performing non-linear polynomial regression analysis on the normalized data for generating a plurality of curves representing performance of the marketing plan, and displaying said plurality of curves to the user. Preferably, the plurality of curves are generated by a predictive analytics and forecasting engine using an optimized Chebyshev polynomial curve selected to a desired closeness of fit to the normalized data.
... |
| Offset frequency estimation method and apparatus | 20070248198 | 20071025 |
| An offset frequency estimation method includes receiving an input signal comprised of complex samples, detecting phases of the complex samples, estimating a temporary offset frequency and an initial phase from the detected phases of the complex samples using a linear regression analysis method, and estimating a final offset frequency by skipping error samples detected using the temporary offset frequency and the initial phase.
... |
| Method for teaching reading using systematic and adaptive word recognition training and system for realizing this method. | 20070248938 | 20071025 |
| A method for teaching a child to read based on the training of a set of words or phrases whereby the past comprehension history of that child for each of the words and phrases is used to formulate a specific presentation, teaching and assessment strategy which will vary from word to word and phase to phrase, with the objective of teaching the child to read and recognize new words and phrases while at the same time consolidating the recognition of better understood words and phrases in order to reduce the onset of poor reading habits such as word vocalization, eye overuse and eye skip back (regression). The interactive reading tutor application may be access locally or remotely accessed by users via a network such as the... |
| Methods for treating bone tumors | 20070249535 | 20071025 |
| The present invention provides methods of treating bone cancer, inducing differentiation of bone tumor cells, inhibiting bone tumor growth, inducing bone tumor regression or treating a hyperproliferative cell disorder by administering a pharmaceutically effective amount of a bone morphogenic protein or a nucleic acid encoding the bone morphogenic protein.
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| System and method for dynamic determination of disease prognosis | 20060289020 | 20061228 |
| A method of obtaining and processing patient data and patient treatment data to provide a prognosis parameter related to a patient's disease state is provided. The method identifies and calculates coefficients related to appropriate predictor variables which are then used by the prediction model to calculate the prognosis parameter. The prediction model may be a logistic regression model. The method may also be used to assess the level of care being provided to patients, as well as providing a way of assessing the outcome of the patient's condition as a function of treatment. A method of calculating a harm index reflective of the risk of treatment is also provided.
... |
| Method and system for electrolyzer diagnosis based on curve fitting analysis and efficiency optimization | 20060289312 | 20061228 |
| The present invention provides a method and system for electrolyzer diagnosis based on curve fitting analysis and efficiency optimization. The present invention relates to monitoring the electrochemical cell components by using curve fitting and estimating the overall electrolyzer performance by using predictive models. The system according to the present invention comprises an extraction unit for selecting suitable operation zones, a filtering unit, a curve fitting unit performing linear or non-linear regression by using user-defined equations applied to current-voltage data points and a curve fitting goodness analysis unit. The zones are defined as start-up zones, shutdown zones and load change zones. The system further comprises a curve fitting parameters characterization unit for classifying curve fitting parameters by respect to the electrolyzer cells components technology and reference values,... |
| Method and algorithm for quantifying polynucleotides | 20060292619 | 20061228 |
| Machine executable method of analyzing growth curve data to identify the transition from a baseline phase into a growth phase. Applications of the method include analysis of results from time-dependent monitoring of amplicon synthesis in a nucleic acid amplification reaction to quantify a starting amount of a nucleic acid template in a test sample. The method advantageously simplifies the quantitation by circumventing the need to establish thresholds used for calculating initiation of the growth phase, to calculate derivatives, or to perform linear regression analysis.
... |
| Method for control and monitoring using a state estimator having variable forgetting factors | 20060284600 | 20061221 |
| A recursive algorithm is provided for adaptive multi-parameter regression enhanced with forgetting factors unique to each regressed parameter. Applications of this algorithm can include lead acid batteries, nickel-metal hydride batteries, and lithium-ion batteries, among others. A control algorithm is presented, having an arbitrary number of model parameters, each having its own time-weighting factor. A method to determine optimal values for the time-weighting factors is included, to give greater effect to recently obtained data for the determination of a system's state. A methodology of weighted recursive least squares is employed, wherein the time weighting corresponds to the exponential-forgetting formalism. The derived mathematical result does not involve matrix inversion, and the method is iterative, i.e. each parameter is regressed individually at every time step.
... |
| Detection and identification of stable pri patterns using multiple parallel hypothesis correlation algorithms | 20060284755 | 20061221 |
| Algorithmic approaches that can be implemented in software/firmware/hardware that filters out stable PRI patterns detected within a system that is prosecuting against radar based transmissions are disclosed. The algorithms allow downstream computing assets to concentrate their limited resources on the more complex emitter PRI pattern types. Thus, a portion (e.g., stable signals) of the pulse deinterleave and PRI identification problem is solved without requiring the more computationally expensive processing. The disclosed algorithms can be employed, for example, in electronic support measures (ESM) systems, electronic intelligence (ELINT) systems, and/or electronic countermeasures (ECM) systems. The algorithms employ linear detection, linear regression, or a combination of linear detection and linear regression, thereby providing a “dual voting” scheme that decreases the occurrence of false positives. Other algorithmic approaches can be... |
| Selective androgen receptor modulators | 20060287547 | 20061221 |
| The present invention relates to androgen receptor targeting agents (ARTA) which demonstrate androgenic and anabolic activity, which are nonsteroidal ligands for the androgen receptor. The selective androgen receptor modulators (SARM) are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia, osteoporosis, benign prostate hyperplasia, alterations in mood and cognition and prostate cancer; c) treatment of conditions associated with Androgen Decline in Female (ADIF), such as sexual dysfunction, decreased sexual libido, hypogonadism, sarcopenia, osteopenia, osteoporosis, alterations in cognition and mood, depression, anemia, hair loss, obesity, endometriosis, breast cancer, uterine cancer and ovarian cancer; d)... |
| Evaluation of cardiac function using only telemetered left ventricular pressure during axial flow lvad support in sheep: comparison to preload recruitable stroke work | 20060282125 | 20061214 |
| Introduction: Emerging technology will soon allow for the chronic assessment of telemetered left ventricular (LV) pressure in patients supported with LVADs; however, specific methods have not been developed for the use of LV pressure during LVAD support. Methods: Adult Suffolk sheep (N=6, 78±3 Kg) underwent placement of axial-flow LVAD. Each animal was instrumented with a telemetered LV pressure manometer, an outflow graft transit time flow probe, and endocardial LV long and short axis piezoelectric crystals to derive LV volume and stroke work (SW). In unsedated sheep, LV load was varied by increasing LVAD speed from 6,000 to 10,880±120 rpm (“run”). During ‘run’, the PRSW (slope: MW), and simultaneously, the relationship of LV triple product (TP) to LV end-diastolic pressure (TP/EDP, slope: MTP) were determined by least... |
| Sekhars correlation between oil production rate and gas-lift rate | 20060272811 | 20061207 |
| The relationship between the rate of oil production from a well completion and the rate of gas-lift applied to the well completion can be described through a non-linear equation that uses four regression parameters.
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| Selective androgen receptor modulators | 20060276540 | 20061207 |
| The present invention relates to androgen receptor targeting agents (ARTA) which demonstrate androgenic and anabolic activity, which are nonsteroidal ligands for the androgen receptor. The selective androgen receptor modulators (SARM) are useful for a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia,osteoporosis, benign prostate hyperplasia, alterations in mood and cognition and prostate cancer; c) treatment of conditions associated with Androgen Decline in Female (ADIF), such as sexual dysfunction, decreased sexual libido, hypogonadism, sarcopenia, osteopenia, osteoporosis, alterations in cognition and mood, depression, anemia, hair loss, obesity, endometriosis, breast cancer, uterine cancer and ovarian cancer; d) treatment... |
| Fast tracking system and method for generalized lars/lasso | 20060276996 | 20061207 |
| The present invention provides an efficient method for tracking the solution curve of sparse logistic regression with respect to the L1 regularization parameter. The method is based on approximating the logistic regression loss by a piecewise quadratic function, using Rosset and Zhu's path-tracking algorithm on the approximate problem, and then applying a correction to obtain the true path.
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| Exercise stress estimation method for increasing success rate of exercise prescription | 20060277067 | 20061207 |
| A method of estimating stress caused by an exercise includes receiving questionnaire data including body measurements from a user, measuring health measurement data, deducing an exercise target and an exercise prescription based on the received and measured data, and transmitting the exercise target and exercise prescription to the user. The questionnaire data is then received back from the user, including the body measurements from the user and measuring again the health measurements data.; Parameters are designed based on the received and re-received questionnaire data and the measured and re-measured health measurement data and the parameters are converted to predetermined values. A regression analysis model is designed for estimating the exercise stress using the parameters and performing regression analysis and the exercise stress estimated through the regression... |
| System and method for managing and monitoring financial performance associated with benefits | 20060277128 | 20061207 |
| Data associated with a benefit plan, including enrollment data and claims data, are compared to verify proper payment of claims. Additionally, other information, such as general ledger, employer account information, and employer organizations can be considered. Information can be output to a user, such as a plan administrator, in a form convenient for that user to quickly understand a large amount of information and how that information relates to a business or other entity administering the benefit plan. Various techniques can be used to estimate reserves, and can optionally use a claims lag triangle as input, including a claims lag report method, a earned premium method, and iterative method, and a regression method, for example.
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| Verification support device, verification support method, and computer product | 20060277510 | 20061207 |
| A verification support device supports logic verification of a design object corresponding to modified sequence diagrams obtained by modifying sequence diagrams expressing processes of a design object in a chronological order. A diagram extracting unit extracts the modified sequence diagrams. A modified process detecting unit detects modified processes by comparing the sequence diagrams before modification and the sequence diagrams after modification. Based on the modified processes, an applicability determining unit determines whether test benches used for a regression test of the design object of the sequence diagrams before modification is applicable to a regression test of the design object of the sequence diagrams after modification. A test bench output unit outputs test benches based on a result of determination by the applicability determining unit.
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| Compositions and methods for treatment of non-hodgkins lymphoma | 20060269561 | 20061130 |
| The present invention provides recombinant peptides comprising a B cell receptor (BCR) or a fragment thereof, nucleotide molecules encoding same, and vaccines and vectors comprising same; and methods of treating, inducing an immune response against, inducing a regression of, and suppressing a formation of a lymphoma, comprising administering same. The present invention also provides methods of inducing a humoral immune response in an animal against an antigen, comprising administering to the animal a fusion peptide comprising an LLO protein or fragment thereof fused to the antigen.
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| Matching pursuit approach to sparse gaussian process regression | 20060271532 | 20061130 |
| A system and method is provided for supervised learning. A training set is provided to the system. The system selects a training element from the provided training set, and adds the training element to a basis element set I. The system conducts an optimization test on the basis element set I with the selected training element to produce a selection score. The system determines whether the selection score indicates an improvement in optimization for the basis element set I. The system discards the selected element if the selection score does not indicate an improvement, and keeps the selected element if the selection score does indicate improvement. The process may then be repeated for other training elements until either the specified maximum number of basis functions is... |
| Grouping lines in freeform handwritten text | 20060271580 | 20061130 |
| Techniques for efficiently and accurately organizing freeform handwriting into lines. A global cost function is employed to find the simplest partitioning of electronic ink strokes into line groups that also maximize the “goodness” of the resulting lines and the consistency of their configuration. The “goodness” of a line may be based upon its linear regression error and the horizontal and vertical compactness of the strokes making up the line. The line consistency configuration for a grouping of strokes is measured by the angle difference between neighboring groups. The global cost function also takes into account the complexity of the stroke partitioning, measured by the number of lines into which the strokes are grouped. An initial grouping of strokes is made, and the cost for this initial... |
| Auto-recording tool for developing test harness files | 20060271824 | 20061130 |
| A test harness development component streamlines the design of regression test harnesses for testing text-based software. An auto-recording tool to automatically record the input and output data in an actual run of the testing session and to automatically generate a test harness. The test harness development component provides an auto-executing tool to automatically run the test harness in subsequent regression tests. The test harness language is used to specify the tests, validation rules of the results, and any other rules for running the test of a test harness. The test harness language is human-readable and emulates the manual test procedures with very little overhead.
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| Auto-executing tool for developing test harness files | 20060271830 | 20061130 |
| A test harness development component streamlines the design of regression test harnesses for testing text-based software. An auto-recording tool to automatically record the input and output data in an actual run of the testing session and to automatically generate a test harness. The test harness development component provides an auto-executing tool to automatically run the test harness in subsequent regression tests. The test harness language is used to specify the tests, validation rules of the results, and any other rules for running the test of a test harness. The test harness language is human-readable and emulates the manual test procedures with very little overhead.
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| Mild osteoarthritis biomarkers and uses thereof | 20060263797 | 20061123 |
| The invention relates to the identification and selection of novel biomarkers and the identification and selection of novel biomarker combinations which are differentially expressed in individuals with mild osteoarthritis as compared with individuals without osteoarthritis. Polynucleotides and proteins which specifically and/or selectively hybridize to the products of the biomarkers of the invention are also encompassed within the scope of the invention as are kits containing said polynucleotides and proteins for use in diagnosing mild osteoarthritis. Further encompassed by the invention is the use of the polynucleotides and proteins which specifically and/or selectively hybridize to the product of the biomarkers of the invention to monitor disease regression in an individual and to monitor the efficacy of therapeutic regimens. The invention also provides for methods of using the... |
| Language for development of test harness files | 20060265629 | 20061123 |
| A test harness development component streamlines the design of regression test harnesses for testing text-based software. An auto-recording tool to automatically record the input and output data in an actual run of the testing session and to automatically generate a test harness. The test harness development component provides an auto-executing tool to automatically run the test harness in subsequent regression tests. The test harness language is used to specify the tests, validation rules of the results, and any other rules for running the test of a test harness. The test harness language is human-readable and emulates the manual test procedures with very little overhead.
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| Chromatographic and mass spectral date analysis | 20060255258 | 20061116 |
| Apparatus, methods, and computer readable media having computer code for calibrating chromatograms to achieve chromatographic peak shape correction, noise filtering, peak detection, retention time determination, baseline correction, and peak area integration. A method for processing a chromatogram, comprises obtaining at least one actual chromatographic peak shape function from one of an internal standard, an external standard, or an analyte represented in the chromatogram; performing chromatographic peak detection using known peak shape functions with regression analysis; reporting regression coefficients from the regression analysis as one of peak area and peak location; and constructing a calibration curve to relate peak area to known concentrations in the chromatogram. A method for constructing an extracted ion chromatogram, comprises calibrating a low resolution mass spectrometer for both mass and peak shape... |
| Drug delivery systems for treatment of diseases or conditions | 20060257450 | 20061116 |
| Diseases and conditions associated with tissues of the body, including but not limited to tissues in the eye, can be effectively treated, prevented, inhibited, onset delayed, or regression caused by administering therapeutic agents to those tissues. Described herein are solid drug delivery systems and methods for providing extended delivery of therapeutic agents to such tissues. A solid drug delivery system may be placed in a subject, including but not limited to placement between the sclera and the conjunctiva or transscleral placement. Described methods may be used to administer rapamycin to treat or prevent angiogenesis, choroidal neovascularization, age-related macular degeneration, or wet age-related macular degeneration in a subject. The solid drug delivery devices may comprise rapamycin or other therapeutic agents. Also described are methods of treating ocular... |
| Administration of macrophage targeted formulations of compounds which modulate cholesterol-metabolizing enzymes for treatment of atherosclerosis | 20060257466 | 20061116 |
| Macrophage targeting formulations of compounds for treating atherosclerosis, in particular compounds which modulate cholesterol-metabolizing enzymes including, but not limited to acyl CoA:cholesterol acyl transferase (ACAT) inhibitors, cholesterol ester hydrolase (CEH) enhancers and combinations thereof, are provided. Methods for short term administration of these macrophage targeting formulations to promote regression and/or inhibit formation of atherosclerotic plaque, as well as to treat atherosclerosis, inflammation, coronary heart disease and cardiovascular disease are also provided.
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| Compositions comprising 5-alpha reductase inhibitors, and sarms and methods of use thereof | 20060258628 | 20061116 |
| This invention provides a composition comprising a 5-alpha reductase inhibitor and a class of androgen receptor targeting agents (ARTA), which are selective androgen receptor modulators (SARM). The compositions of this invention are useful for, inter-alia, a) male contraception; b) treatment of a variety of hormone-related conditions, for example conditions associated with Androgen Decline in Aging Male (ADAM), such as fatigue, depression, decreased libido, sexual dysfunction, erectile dysfunction, hypogonadism, osteoporosis, hair loss, anemia, obesity, sarcopenia, osteopenia, osteoporosis, benign prostate hyperplasia, alterations in mood and cognition and prostate cancer; c) treatment of conditions associated with Androgen Decline in Female (ADIF), such as sexual dysfunction, decreased sexual libido, hypogonadism, sarcopenia, osteopenia, osteoporosis, alterations in cognition and mood, depression, anemia, hair loss, obesity, endometriosis, breast cancer, uterine cancer and ovarian... |
| Liquid formulations for treatment of diseases or conditions | 20060258698 | 20061116 |
| Diseases and conditions associated with tissues of the body, including but not limited to tissues in the eye, can be effectively treated, prevented, inhibited, onset delayed, or regression caused by administering therapeutic agents to those tissues. Described herein are liquid formulations which deliver a variety of therapeutic agents, including but not limited to rapamycin, to a subject for an extended period of time; liquid formulations which form a non-dispersed mass when placed in an aqueous medium of a subject; non-dispersed mass-forming liquid formulations which form a gel or gel-like substance in an aqueous medium; liquid formulations, comprising a therapeutic agent and a plurality of polymers; and methods for delivering therapeutic agents to a subject for an extended period of time using the liquid formulations. The liquid... |
| Tumor lesion regression and conversion in situ into autologous tumor vaccines by compositions that result in anti-gal antibody binding | 20060251661 | 20061109 |
| The present invention discloses that an intratumoral injection of: i) glycolipids with α-gal epitope; ii) gene vectors comprising an α1,3galactosyltransferase gene; or iii) a mixture of α1,3galactosyltransferase, neuraminidase, and uridine diphosphate galactose results in tumor regression and/or destruction. Binding of the natural anti-Gal antibody to de novo expressed tumoral α-gal epitopes induces inflammation resulting in an anti-Gal antibody mediated opsonization of tumor cells and their uptake by antigen presenting cells. These antigen presenting cells migrate to draining lymph nodes and activate tumor specific T cells thereby converting the treated tumor lesions into in situ autologous tumor vaccines. This therapy can be applied to patients with multiple lesions and in neo-adjuvant therapy to patients before tumor resection. In addition to the regression and/or destruction of the treated... |
| System and methods for identifying the potential advertising value of terms found on web pages | 20060253437 | 20061109 |
| The present invention provides a method and system for identifying terms in a requested Web document which can be used to identify other web page documents in which the user is likely to have an interest. Terms on previously prepared lists are compared to the content of the Web page document, and where matches are found, mathematical techniques including linear regression can be used to determine the relevance of the textual term to the content of the page. This can be used to suggest other linked Web page documents in which the user is likely to have an interest. Where the prepared lists include a term that has been purchased by advertisers, and there is a match for that term on the Web page document, an... |
| Computer-implemented regression systems and methods for time series data analysis | 20060247900 | 20061102 |
| Computer-implemented systems and methods for analyzing time series data. Statistical techniques are performed upon candidate autoregressive components and regressor components using the time series data. Autoregressive and regressor components are included in a predictive model based upon the autoregressive and regressor components' significance levels as determined by the statistical techniques.
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| Automotive transmission control system and method | 20060241841 | 20061026 |
| The present invention is a control system and method for the determination of a simulated transmission fluid temperature value using multiple linear regression. The present invention also provides a control system and method to diagnose the health of the transmission fluid temperature sensor and provides a default transmission fluid temperature value should failure of the transmission fluid temperature sensor occur.
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| System and methods of characterizing a hydrocarbon reservoir | 20060241867 | 20061026 |
| A technique is described for interpretation of IPTT tests. In one implementation, the technique may be configured or designed to standardize the complete interpretation procedure of IPTT in a heterogeneous reservoir, using if available, modern wireline logs (such as, for example, nuclear magnetic resonance and imaging), dynamic data from wireline formation testers and/or any other relevant information (such as, for example, geological description, core data and local knowledge) as constraints on the interpretation. Additionally, an iterative method may be used to define formation layering. An advanced regression technology may also be used to obtain optimized horizontal and vertical permeabilities of reservoir layers. Further a graphical user interface (GUI) based IPTT workflow technique of the present invention provides an integrated user-friendly interpretation platform for analyzing formation testing... |
