Abstract: This disclosure generally relates to methods of measuring the adequacy of a clinical sample by estimating the cell count in known fluid volumes using light scattering techniques, in particular turbidity. In another aspect, this disclosure provides machines for measuring the adequacy of a clinical sample by estimating the cell count. These machines can be used for high-throuhput processing of clinical samples. In another aspect this disclosure provides methods of determining whether testing of a clinical sample would be informative. Particular examples using these methods in conjunction with the HC2 HPV test are provided herein.

Abstract: Methods and systems for handling online requests based on information known to a service provider. One method may comprise: obtaining first information, the first information relating to an online request made using a communication apparatus; using a logical identifier assigned to the communication apparatus to obtain second information, the second information pertaining to a profile associated with the logical identifier; comparing the first information to the second information; and performing an action related to handling of the online request based on a result of the comparing.

Abstract: A method of implicitly forming a context in a dialogue with a computer includes forming megacategories linking one or more attributes to one of a plurality of response templates. The method also includes determining a megacategory by comparing attributes having true variables from a previous input to attributes having true variables in the present input and selecting an appropriate response template corresponding to the megacategory.

Abstract: Permutations of features of an invention are ranked in accordance with factors such as importance and specificity to identify a reasonable number of (i.e. 20 or fewer) permutations as candidates for structuring a corresponding number of claims for a patent application. The identified permutations desirably include permutations corresponding to claims of broad scope, claims of narrow scope, and claims of intermediate scope; and exclude illogical or impractical permutations of features.

Abstract: The present invention provides protein-based biomarkers and biomarker combinations that are useful in qualifying ovarian cancer status in a patient. In particular, the biomarkers of this invention are useful to classify a subject sample as ovarian cancer or non-ovarian cancer. The biomarkers can be detected by SELDI mass spectrometry.

Abstract: Methods, systems, and apparatus, including computer program products, for determining a probability that a traffic conversion of a content item associated with a content source (e.g., website) will occur based on past traffic patterns for that content source. A traffic conversion defines, for example, minimum traffic interactions of one or more associated user sessions with a content source. The minimum traffic interactions can be based on, for example, the duration of the one or more user sessions on the content source, or a quantity of pages associated with the content source navigated in the one or more associated user sessions.

Abstract: A system and method are provided for forming crowds of users and providing access to corresponding crowd data. In one embodiment, a central system, which includes one or more servers, operates to obtain current locations for users of mobile devices. The central system forms a crowd including a number of users based on the current locations of the number of users. The central system then generates crowd data for the crowd and provides access to the crowd data for the crowd. In one embodiment, the crowd data for the crowd includes an aggregate profile for the crowd. In another embodiment, the crowd data includes data characterizing the crowd. The central system provides access to the crowd data by serving crowd data requests.

Abstract: A method of predicting the compatibility of at least one item of interest to a user of a web-based system. The method includes the steps of providing a survey of items for rating by the system user, collecting a set of ratings for the survey of items from the system user, collecting a set of ratings for the survey of items from each of a plurality of raters, calculating a correlation coefficient between the system user and each of the plurality of raters to obtain a set of correlation coefficients for the survey of items, selecting a group of raters from the plurality of raters, the group of raters selected on the basis that each member of the group of raters has provided a rating of the at least one item of interest and predicting the compatibility of the at least one item of interest to the system user from the ratings provided by the group of raters and the correlation coefficients calculated between the system user and each of the group of raters.

Abstract: Many biological data analysis problems require matching data points from different data sets. For example, high-throughput protein expression liquid chromatography and mass spectrometry (LC/MS) protocols developed generate 2-dimensional feature sets that require matching on a point-by-point basis. In these protocols, it can be useful to perform all data collection sequentially and analyze the data subsequent to lab work. This avoids the need to identify all of the components in a sample before comparing it to other samples, thus saving effort and avoiding the potential problem of missing an important component due to problems in the identification stage. Such methods can involve identifying, grouping and measuring sets of characteristic peaks in order to identify and quantify shared peptides. The present teachings provide, among other things, a method for comparing and associating multiple data sets. These methods, can be used, for example, for analyzing LC/MS runs, gel images etc.

Abstract: A method for estimating vegetation growth relative to an object of interest is disclosed. A target vegetation is identified from a second sensing dataset. A corresponding target vegetation is identified in a first sensing dataset, the first sensing dataset collected at a time before the second sensing dataset. A first statistic is attributed to the corresponding target vegetation based on a distance of one or more points of the corresponding target vegetation in the first sensing dataset relative to the object of interest. A second statistic is attributed to the target vegetation based on a distance of one or more points of the target vegetation in the second sensing dataset relative to the object of interest. An encroachment rate is determined from a comparison of the first statistic and the second statistic.

Abstract: The present invention provides a novel prognostic and health management method for natural aging systems. This prognostic and health management method can detect anomalies in a system in advance, and can determine whether the detected anomalies are due to natural aging or other aging processes. In this prognostic method, a moving window method for improving the performance of the conventional data-driven prognostic methods is described. This prognostic and health management method combines with the detections by the data-driven prognostic method based on the conventional training and moving window methods to determine whether the detected anomalies are due to natural aging or other aging processes and in so doing can reduce the number of false alarms; reduce cost of a system by decreasing the unnecessary maintenance, downtime, and inventory; can extend the life of systems; and can assist in the design and qualification of future systems to improve their reliability.

Abstract: Provided are a method and an apparatus for predicting a preference rating for content, and a method and an apparatus for selecting sample content in order to predict a preference rating for the content. In the method of predicting a preference rating for the content, a list of users having similar preferences to a target user is extracted from content usage information collected with respect to the same content, and the target user's preference rating for the content is predicted by applying preference rating information of the users with similar preferences to a machine learning algorithm.

Abstract: A method for data stream identification includes receiving a data stream from a data source and executing a first transform on the data stream to determine if the data stream comprises a first characteristic associated with the first transform. The first transform is part of a transform tree comprising a plurality of transforms arranged in a hierarchy. The method includes executing one or more additional transforms to determine if the data stream comprises one or more additional characteristics associated with the one or more additional transforms and computing an efficiency level associated with the execution of each transform. The method also includes identifying a path through the transform tree wherein the computed efficiency level of each transform in the path is above a threshold value to determine characteristics of the data stream.

Abstract: In a working environment positioning system, there is comprised an interface unit for receiving information input by users; a characteristic analysis unit coupled to the interface unit for analyzing characteristic indices of each of the users based on the input information; a compatible-degree analysis unit coupled to the characteristic analysis unit for analyzing a compatible degree of each of the users with other users based on the characteristic indices to generate a plurality of corresponding compatibility indices, from which a compatible-degree matrix is obtained; and a report generating unit for receiving analysis results from the characteristic analysis unit and the compatible-degree analysis unit, analyzing a positioning relation of each of the users in a working environment, and generating an analysis report accordingly. A working environment positioning method and a computer program product for implementing the method are also disclosed.

Abstract: There is provided an information processing apparatus including: a sensor data generator sensing a user behavior and generating sensor data corresponding to the user behavior; a behavior recognizing unit performing a predetermined threshold value process on the sensor data to recognize the behavior exhibited by the user and generating behavior information that is information indicating the behavior exhibited by the user; a behavior manager managing the behavior information generated by the behavior recognizing unit in correspondence with the time point at which the behavior corresponding to the behavior information is exhibited; and a behavior information post-processing unit performing a predetermined post-process on the behavior information managed by the behavior manager, wherein the behavior recognizing unit further includes a plurality of behavior determination units specified to specific behaviors exhibited by the user and generates the behavior information based on the determination results of the plur

Abstract: Subcortical neural structures are classified during a microelectrode recording (MER) procedure. As the electrode traverses subcortical structures toward a target neural structure, neural activity is analyzed. The neural activity is converted to electrical signals. Features pertaining to characteristics of the neural activity are extracted from the electrical signals. The features are synergistically combined using fuzzy clustering logic, for example. In an example embodiment, the combined results are provided in a form of a color coded map indicating the different structural regions traversed. Observation of the map provides an objective indication of the demarcations of the various structural regions traversed and an objective technique for classifying the structural regions.

Abstract: A three-dimensional (3D) motion identifying method and system are used for identifying a motion of an object in a 3D space. First, the method provides a database recording sets of predetermined inertial information, and each of the sets of predetermined inertial information is an inertial movement of a specific motion in the 3D space. Then, inertial information of the object in moving is retrieved via a motion sensor in the object, and the inertial information is compared with all predetermined inertial information in the database to determine similarities therebetween. Finally, whether the motion of the object is the same as any predetermined inertial information or not is determined according to a degree of the similarity. As a result, more complicated motions of the object can be directly identified via the comparison with the database.

Abstract: The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.

Abstract: A system for monitoring biometric data of an athlete participating in a sporting event comprises at least one biometric sensor carried by the athlete. The sensor senses biometric data for the athlete and delivers the data to a transmitter located on the athlete. The transmitter automatically transmits the biometric data to a wireless telephony network as the athlete participates in the sporting event. The wireless telephony network, in turn, delivers the biometric data to a processing server via the Internet. The processing server receives the biometric data and transforms the data into processed biometric data for the athlete. The processed biometric data for the sporting event is available to the athlete or other authorized individuals in real time and/or any time following the sporting event at a computer connected to the Internet.

Abstract: A method for automatically opening a file associated with a predetermined condition is provided. The file is matched with the predetermined condition. Information related to the predetermined condition, such as temperature, light intensity, and sound intensity is detected. The detected information is sent to a processing module. The processing module monitors the detected information to determine whether the predetermined condition is satisfied and sends an instruction to an executing module to open the file when the predetermined condition is satisfied. A system for automatically opening the file associated with the predetermined condition is also disclosed.

Abstract: Provided are an adaptive drive supporting apparatus and method that provide a personalized telematics user interface capable of supporting safe driving and convenient use.

Abstract: Certain embodiments of the present invention provide methods and systems for providing access to network content. Certain embodiments provide a proxy system for providing access to network content. The system includes a content retriever for retrieving a first content on a network. The content retriever is configured to pre-fetch additional content linked or connected to the first content. The system also includes a content analyzer for analyzing the first content and the pre-fetched additional content according to a content policy and allowing access to the first content and the pre-fetched additional content in accordance with the content policy. The system further includes a content renderer for rendering allowed content for provision to a user upon user request. The renderer can also modify links to content based on a status of the linked content.

Abstract: An action recognition apparatus includes: an action detection unit for detecting an action of a subject to be recognized; an estimation processing unit for previously narrowing down action types of which actions of the subject is to be recognized; a selection processing unit for selecting a recognition method and a dictionary by referencing a recognition method/dictionary database, based on the action types narrowed down by the processing unit; and a recognition processing unit for performing an action recognition using the recognition method and the dictionary selected by the selection processing unit. The recognition processing unit performs an action recognition processing of information detected by the action detection unit, based on only the action types narrowed down by the estimation processing unit.

Abstract: The present invention provides protein-based biomarkers and biomarker combinations that are useful in qualifying breast cancer status in a patient. In particular, the biomarkers of this invention are useful to determine metastasis-free survival of breast cancer patients. The biomarkers can be detected by SELDI mass spectrometry in serum samples fractionated by means of anion exchange chromatography. Some of the biomarkers have been identified as: Apolipoprotein A1; Apolipoprotein A2; Haptoglobin alpha 1; Transferrin; Complement C3a; and truncated forms thereof.

Abstract: Systems, methods, devices, and computer programming products useful for the gathering and use of data relating to structural loading and other operational use of transit and other vehicles, and their systems. Systems according to the invention can, for example, comprise one or more data acquisition devices such as strain gauges, accelerometers, or other sensors; data processors; memories; and communications systems. Such systems, methods, and programming are useful in a wide variety of ways, including, for example, monitoring the structural status and use of vehicles and their systems, including fatigue other operational analyses; gathering and applying data useful in the maintenance of such vehicles and the routes they travel; monitoring the use/abuse of such vehicles by operators and other individuals; reporting traffic events or anomalies; and routing transit and other vehicles around such events or anomalies.

Abstract: A system, method and computer program product for interfacing a decision engine and a marketing engine in order to provide vendor-related data in response to decision-related data is disclosed. In at least one embodiment, the system and method may include providing a decision engine on a user-accessible network; interfacing a marketing engine with the decision engine on the network; receiving a plurality of user inputs with the decision engine; processing decision-related data with the decision engine in accordance with the plurality of user inputs; sharing the decision-related data with the marketing engine; processing the decision-related data with the marketing engine; and transmitting vendor-related data via the network.

Abstract: Methods, computer program products, and systems are described that include monitoring at least one health attribute of an individual during an artificial sensory experience, associating a characteristic of the artificial sensory experience with the at least one health attribute of the individual, and modifying at least one of an inhalation device-dispensed bioactive agent or the artificial sensory experience at least partially based on associating a characteristic of the artificial sensory experience with the at least one health attribute of the individual.

Abstract: Methods, biomarkers, and expression signatures are disclosed for assessing the regulation status of Wnt/?-catenin signaling pathway in a cell sample or subject. More specifically, several aspects of the invention provide a set of genes which can be used as biomarkers and gene signatures for evaluating Wnt/?-catenin pathway deregulation status in a sample; classifying a cell sample as having a deregulated or regulated Wnt/?-catenin signaling pathway; determining whether an agent modulates the Wnt/?-catenin signaling pathway in sample; predicting response of a subject to an agent that modulates the Wnt/?-catenin signaling pathway; assigning treatment to a subject; and evaluating the pharmacodynamic effects of therapies designed to regulate Wnt/?-catenin pathway signaling.

Abstract: A system for processing tissue biopsy samples during a histopathology process, including a tissue carrier constructed to carry a tissue biopsy sample during at least one step of the histopathology process, a database storing information associated with the tissue biopsy sample and associated with a tissue processing procedure, a machine-readable indicator physically associated with the tissue carrier, the machine-readable indicator including a machine-readable reference identified with the tissue biopsy sample, and an electronic control operative to read the reference, access the information in the database using the reference, and implement at least a portion of the tissue processing procedure in accordance with the accessed information.

Abstract: The present invention relates to a method for structure-based prediction of properties of peptides and peptide analogs in complex with major histocompatibility (MHC) class I and class II molecules. The said properties mainly relate to the three-dimensional structure of an MHC/peptide complex and the binding affinity of a peptide for an MHC receptor. The invention further relates to a computer program and a device therefor. The invention further relates to data produced by a method of the invention. The invention further relates to peptides and peptide analogs predicted to bind to target-MHC molecules. The present invention thus relates to the field of immunology, with possible applications in manufacture of vaccinates, de-immunization of proteins, and manufacture of therapeutic agents, especially immunotherapeutic agents.

Abstract: Provided are a data integration apparatus and method using a weight factor. The data integration apparatus receives sensing information from at least one sensing device, the sensing information including a value indicating the existence of signals and confidence estimated parameters indicating the degree of confidence for the value indicating the existence of signals, and then generates the weighting factor based on the confidence estimated parameters. Then, the value indicating the existence of signals and the weighting factor are used to produce characteristic values of each sensing device and to finally determine the existence of signals.

Abstract: According to an aspect of the present invention, there is provided a failure diagnosis system including: a causal relationship information storage unit configured to store causal relationship information representing a causal relationship between events regarding a diagnosis-target apparatus, the causal relationship information including: common causal relationship information that is commonly used in a plurality of types of failure diagnosis regarding the diagnosis-target apparatus; and specific causal relationship information that is used in each specific type of failure diagnosis among the plurality of types of failure diagnosis; and a diagnosis execution unit configured to selectively execute the plural types of failure diagnosis by using a combined causal relationship information that is a combination of the common causal relationship information and a piece of the specific causal relationship information corresponding to a diagnosis-target type of failure diagnosis.

Abstract: A system for creating an inventory profile is disclosed. The system includes a computer system and at least one input device coupled to a processor. The processor is configured to receive inventory data associated with a group of parts within an inventory and classify each part into one class selected from a plurality of classes. The processor determines a number of days of demand coverage associated with each class and compares the number of days of demand coverage with a corresponding demand coverage value. The processor also determines a difference between the number of days of demand coverage for each class and a corresponding demand coverage value and generates an inventory profile reporting the days of demand coverage for each class associated with the group of parts. The inventory profile indicates the difference between the number of days of demand coverage for each class and the corresponding demand coverage value.

Abstract: An activity monitoring system and method are disclosed to reduce the size of an activity sensor device to reduce its power consumption and smoothly transmit activity and occupancy information from the activity sensor device and an occupancy sensor device to an activity monitoring server to monitor an individual's activity and occupancy information.

Abstract: Methods and devices for using position data of a piston connected to a ram block in a blowout preventer to determine a backlash of the ram block, and/or to record a position of the ram block, and/or to calculate an instant when a supplemental closing pressure is desired to be applied, and/or to determine when maintenance of a ram locking mechanism is due, and/or to determine when sealing elements are worn.

Abstract: Estimating influence is provided. For example, estimating influence includes determining an objective influence measure, which can be applied to various applications (e.g., search using objective influence).

Abstract: Method and apparatus for computer-aided assessment of risk, criticality, and vulnerability with respect to a site. The method and apparatus may use multiple factors to determine overall risk. In some embodiments, the method may assess or determine an impact if a site or asset is lost. The method and apparatus may identify and quantify what risks are acceptable and unacceptable. In an embodiment, a method and apparatus may incorporate mathematical evaluations and numeric assignments that result in a criticality vector and a vulnerability vector. In some embodiments, the criticality vector and vulnerability vector may be used to represent a site's overall risk and/or prioritization and ranking relative to other sites.

Abstract: A method and system for discovering a control event from electronically published documents is provided, in which a control program on a computer identifies electronically published documents stored in a plurality of network servers which potentially contain control events relevant to the control of goods and/or services, the control events being identified by reference to a user interest database containing user interest identifiers. Identified documents are analyzed by a classification program to determine whether control events are present, referring to a control event database. A control event classification is assigned to documents determined to contain at least one discovered control event, the assigned control event classification and information identifying the associated document is stored in a classification database, and a report of discovery of documents containing control events is be provided to a user.

Abstract: The present invention relates to a method for determining the correlation between the metabolite profiles (MPs) and the expression or potential for expression of a trait of a group of plants, and further to a method for determining or predicting the expression of a trait of a plant by taking advantage of the determined MP of said plant and a determined correlation between the MPs and the expression or potential for the expression of said trait in a group of plants. Particularly, the present invention relates to a method for determining or predicting the biomass production/growth rate of a plant by taking advantage of the determined MP of said plant and a determined correlation between the MPs and the biomass production/growth rate or the potential for biomass production/growth rate of a group of plants.

Abstract: Methods, apparatus, and system for predicting the availability of hot water for bathing. One or more parameters corresponding to the operation of a water heater are monitored over time and/or a temperature distribution of water in a hot water tank measured. Data corresponding to the monitored parameters and/or temperature distribution are processed to determine a rate at which hot water is being consumed by filling a bath and/or due to other hot water consumers and/or to determine a current hot water availability condition. Based on a hot water consumption rate and/or determination of a current hot water availability condition, a projection is made to whether there will be adequate hot water to fill the bathtub to a desired level or volume at a desired temperature.

Abstract: An Enhanced Relationship Prediction System for providing a relationship prediction based on the correlation of personal characteristics and the analysis of genetic characteristics is disclosed. In one embodiment, a first person supplies descriptions of their own personal characteristics, as well as descriptions of the personal characteristics of their ideal match, to a website. The first person also furnishes an odor, tissue or fluid sample to a test facility, where genetic characteristics are analyzed and determined. A relationship match is then generated based on both a combination of both a positive correlation of the personal characteristics of the first person and second person, and a measured dissimilarity between the sequence of genetic characteristics of the first person and second person. In an alternative embodiment, the hormonal birth control status of the participants is used in the matching process.

Abstract: A process automation system for determining, monitoring and/or influencing different process variables and/or state variables in at least one manufacturing or analytical process. Included is: at least one control station; and a plurality of field devices; wherein in each field device at least one sensor is provided for ascertaining a measured value of a process variable and/or state variable and/or an actuator is provided for influencing a process variable and/or state variable by means of an actuating value. Each field device makes available its cyclically or acyclically ascertained, measuring-device-specific, measured values and/or actuating values of the process variable and/or state variable to every other field device of the process automation system as information, and the current information of all ascertained measured values and/or actuating values of the process variables and/or state variables is available to each field device as a current process-state-vector.

Abstract: A compound property prediction apparatus includes a training sample library (16) in which a parameter value and a value for a prediction item are preregistered for each individual one of a plurality of training samples; an input device (12) inputting data concerning an unknown sample; a parameter generating device (14) of the unknown sample; a similarity calculation device (18) which calculates the degree of similarity between the unknown sample and the individual one training sample; a sub-sample set construction device (20) which constructs a sub-sample set by extracting training samples whose degree of similarity to the unknown sample is not smaller than a predetermined threshold value; a prediction model construction device (22) which constructs a prediction model from the sub-sample set; and a prediction value calculation device (24) which calculates the prediction value of the unknown sample based on the prediction model.

Abstract: Methods and systems to model and acquire data from a variety of data and information sources, to integrate the data into a structured database, and to manage the continuing reintegration of updated data from those sources over time. For any given domain, a variety of individual information and data sources that contain information relevant to the schema can be identified. Data elements associated with a schema may be identified in a training source, such as by user tagging. A formal grammar may be induced appropriate to the schema and layout of the training source. A Hidden Markov Model (HMM) corresponding to the grammar may learn where in the sources the elements can be found. The system can automatically mutate its schema into a grammar matching the structure of the source documents. By following an inverse transformation sequence, data that is parsed by the mutated grammar can be fit back into the original grammar structure, matching the original data schema defined through domain modeling.

Abstract: A system may include acquisition of a supply voltage information representing past supply voltages supplied to an electrical component, acquisition of a temperature information representing past temperatures of the electrical component, and control of a performance characteristic of the electrical component based on the supply voltage information and the temperature information. Some embodiments may further include determination of a reliability margin based on the supply voltage information, the temperature information, and on a reliability specification of the electrical component, and change of the performance characteristic based on the reliability margin.

Abstract: A transaction system is provided in which a plurality of participating system members each has access to a communications device so as to operatively communicate via an associated network with a computerized server in order to instruct the initiation or conduct of a transaction, typically a financial transaction, by operation of the computerized server consequent on data inputted by a particular system member. The system includes at least one data base in which there is retained data relating to at least some possible or previous transactions or both that may be conducted by the particular system member. Selection means are provided for selecting one of said possible or previous transactions that best represents data inputted in respect of any particular target transaction on the basis of artificial intelligence such that data inputted in different ways or with different degrees of accuracy can result in the same target transaction being selected by the selection means.

Abstract: The invention is directed to methods and kits that allow for classification of non-small cell lung carcinoma tumors and cell lines according to genomic profiles, and methods of diagnosing, predicting clinical outcomes, and stratifying patient populations for clinical testing and treatment using the same.

Abstract: The invention relates to a calculation and control system for the determination of the state of a vascular access of a patient intended to follow successive sessions of extracorporeal blood treatment by extraction and return of the blood via the vascular access, the system comprising: means for determining the value of at least one hemodynamic extracorporeal parameter of the patient for at least two sessions; means for determining the value of the purification effectiveness of the treatment for at least two sessions; programmed means for determining a risk score relating to the state of the vascular access of the patient as a function of at least two values of the hemodynamic extracorporeal parameter and of at least two determined values of the purification effectiveness.

Abstract: Embodiments include systems and methods of detecting fraud. In particular, one embodiment includes a system and method of detecting fraud in transaction data such as payment card transaction data. For example, one embodiment includes a computerized method of detecting that comprises receiving data associated with a financial transaction and at least one transacting entity, wherein the data associated with the transacting entity comprises at least a portion of each of a plurality of historical transactions of the transacting entity, applying the data to at least one first model, generating a score based on the first model, and generating data indicative of fraud based at least partly on the score. Other embodiments include systems and methods of generating models for use in fraud detection systems.

Abstract: The present invention provides systems, apparatuses, and methods to detect the presence of fetal cells when mixed with a population of maternal cells in a sample and to test fetal abnormalities, e.g. aneuploidy. The present invention involves labeling regions of genomic DNA in each cell in said mixed sample with different labels wherein each label is specific to each cell and quantifying the labeled regions of genomic DNA from each cell in the mixed sample. More particularly the invention involves quantifying labeled DNA polymorphisms from each cell in the mixed sample.