247 results about "Target population" patented technology

This invention provides method and system for measuring changes in the brain activity of an individual by functional brain imaging methods for investigative purposes, e.g., detecting and assessing whether an individual is being truthful or deceptive, and/or whether an individual has a prior knowledge of a certain face or object. The invention combines recent progress in medical brain imaging, computing and neuroscience to produce an accurate and objective method of detection of deception and concealed prior knowledge based on an automated analysis of the direct measurements of brain activity. Applying the paradigm developed from the deception model, and applying it to an individual viewing media information (e.g., audiovisual messages or movies, or announcements), the data is used to interpret the effect of the information on that individual. This permits the effective manipulation of the content of the media segments to achieve maximal desired impact in target populations or on specific individuals.

A method and system for targeted in-store advertising content is disclosed. In order to improve the success of advertising content on a group of customers, the present invention monitors and records items as they are purchased from the store. These records generate data that is used to categorize customers into defined segments. Segments are matched to pre-defined profiles, which describe certain demographic characteristics common to customers in a particular segment. Advertisers can create advertising campaigns directed to these profiles, and when a certain number of matching segments appear within a certain amount of time within the store, the present invention will display the matching media content. The present invention tracks segment frequency, and applies a weighted T-distribution analysis to determine the likelihood of certain frequencies of segments appearing at a certain time. The present invention also tracks the number of times certain media content has been displayed within a certain amount of time to prevent content overexposure. Use of the present invention's data will help advertisers by introducing a pay for performance model where advertisers pay to deliver content to their target demographic, and by providing information on whether or not an advertising campaign was successful.

Proteolytically stable small molecule β-turn peptidomimetic compounds have been identified as agonists or antagonists of neurotrophin receptors, such as TrkA. A compound of particular interest binds the immunoglobulin-like C2 region of the extracellular domain of TrkA, competes the binding of another TrkA ligand, affords selective trophic protection to TrkA-expressing cell lines and neuronal primary cultures, and induces the differentiation of primary neuronal cultures. The small β-turn peptidomimetic compounds of the invention can activate a tyrosine kinase neurotrophin receptor that normally binds a relatively large protein ligand. Such compounds that bind the extracellular domain of Trk receptors are useful pharmacological agents to address disorders where Trk receptors play a role, by targeting populations selectively.

Computer systems, computer program products and methods for surveying a target population are provided. A survey instrument is fielded to a sample population of the target population, where individual members in the sample population are selected from the target population such that the distribution of members in the sample that start the survey instrument provides a probability sampling of the target population for at least one stratification variable. A qualifying population is identified from the sample, where each member in the qualifying population qualifies for the survey instrument based on a response to one or more screener questions in the survey instrument. A total number of members is determined within the target population that the qualifying population represents based on a comparison of the distribution of the qualifying population and the distribution of the target population with respect to the at least one stratification variable.

Apparatus, systems, and methods of health reporting are disclosed that enhance decision support and provide alerts when health deterioration or the need for intervention has been detected. Embodiments utilize combined pictorial representations (including physical, mental, and social health determinants) as an avatar or pictogram, comparing health status to a general or target population, and using different methods to represent and reinforce health status. The apparatus, systems, and methods further enable individuals to access their own medical records in a way that can be understood by them and therefore is more widely accessible. The invention enhances health reporting, improving utility, usability and desirability of health reporting tools.

A Consumer Research Survey Management Apparatus comprising: a Survey Management Console interfaced with a Survey Participant Response Machine through which results of survey participation are collected and processed, and a method for holding surveys using the Consumer Research Survey Management Apparatus. The method comprises the steps of authoring a survey (Step I); determining whether the target population is ad-hoc or a set target (Step II); setting the survey schedule (Step III); activating the survey (Step IV); monitoring the survey in terms of its validity and integrity (Step V) monitoring participation levels (Step VI); optionally awarding incentives to survey participants (step VII); ensuring that the survey matches the research requirements in terms of population quotas (Step VIII) ensuring that the demographic profile of the survey participants matches the research requirements (Step IX); repeating at least part of the survey if necessary (Step X) and analyzing results (Step XI).

A system for integrating business risk and marketing objectives into a unified business strategy for providing credit to one or more members of a target population is provided. The system comprises a database comprising risk data and marketing data associated with the members of the target population and a scoring model that receives the risk data and the marketing data from the database. The scoring model generates a set of risk scores and a set of marketing scores associated with the members of the target population over a range of additional credit that could be provided to the members of the target population. The system further comprises a network model and an optimization model. The network model collectively uses the risk scores and the marketing scores from the scoring model and generates a probability distribution of expected use of the credit over the range of additional credit that could be provided to the target population. The optimization model receives the distribution of expected use of the credit from the network model and determines the level of credit to offer the members of the target population in order to maximize a business measure subject to a set of business constraints.

A system and method are provided for psychographically profiling a target population of individuals, programmably implemented in a server apparatus. The psychographic segmentation portion includes a questionnaire processing part, a segment solution part, and a typing tool part. The questionnaire processing part acquires a plurality of responses to a predetermined set of questionnaire questions by an initial pool of target population members. The questionnaire processing part uses a combination of weighted statistical methodologies to arrive at a rule-based decision on whether the question would serve as a good wedge variable. Optionally, the rule based decision is then compared to an expert's opinion and the weights and threshold parameters of the weighted statistical combination are adjusted accordingly to more accurately match the expert's decision. The identified wedge variables are used for effectively segregating the target population into groups of homogenous individuals. The typing tool part selectively generates an abbreviated set of questions from the predetermined set of questionnaire questions for profiling an individual respondent to at least one of the segments.

The invention discloses an unmanned pedestrian trajectory prediction method based on a convolutional neural network. The method comprises the steps of processing sample data, obtaining an input information sequence, constructing and optimizing the network, and testing and evaluating an optimal model. Real-time video collected by a visual sensor on an unmanned vehicle is segmented into images withframes as units to serve as sample data, target crowds about to pass through zebra stripes in the sample data are divided into three classes, and pedestrian position-proportion information sequence, the pedestrian skeleton information sequence and the motion sequence of the visual sensor,are obtained from samples;, ; the information sequence is input into a convolutional neural network for training to obtain a preliminary prediction model, and after testing and evaluation, finally a prediction track and an action category are output. According to the method, the convolutional neural network isadopted to predict the trajectory of the unmanned pedestrian, so that the probability of pedestrian collision in the road driving process of the unmanned vehicle can be effectively reduced.

A method for regulating fermentation of organic material, such as cocoa beans and pulp is disclosed. The method includes adding at least one strain of lactic acid bacteria and/or acetic acid bacteria to the organic material. Optionally, at least one strain of yeast is added. Bacterial strains and compositions, useful in the described method, are also disclosed. The use of the described starter cultures and compositions permits faster fermentation, fermentations with targeted population dynamics and succession of microorganisms, and fermentations with targeted levels of both desirable and undesirable metabolites.

The system for uniquely identifying subjects from a target population operates to acquire, process and analyze images to create data which contains indicia sufficient to uniquely identify an individual in a population of interest. This system implements an automated, image-based process that captures data indicative of a selected set of external characteristics for subjects that are members of a target population of a predetermined species. The captured data is then processed to create a database record which is associated with the selected subject and which can be used to uniquely identify the selected subject. The subject identification process is repeatable, so any subject can be accurately mapped to their associated database record, which database record can be updated to reflect changes in the subject.

A system for enumeration of cells in fluids by image cytometry is described for assessment of target populations such as leukocyte subsets in different bodily fluids or bacterial contamination in environmental samples, food products and bodily fluids. Briefly, all cells in a biological sample are fluorescently labeled, but only the target cells are also magnetically labeled. A small, permanent magnet is inserted directly into the chamber containing the labeled sample. The magnets are coated with PDMS silicone rubber to provide a smooth and even surface which allows imaging on a single focal plane. The cells are illuminated and the images of the fluorescent light emitted by the target cells are captured by a CCD camera. Image analysis performed with a novel algorithm provides a count of the cells on the surface that can be related to the target cell concentration of the original sample.

The invention discloses a dense crowd counting and personnel distribution estimating method based on deep learning, which includes the following steps: preprocessing a target crowd image to be detected; selecting an appropriate data set to train a designed deep learning network model; inputting target data to the trained network for analysis and identification; and finally, getting a thermodynamic diagram of people in the coverage area, and getting the number and distribution of people in the crowd. Through the method, the number and distribution of people in a high-density crowd can be estimated accurately, and the problem that people in a crowd are blocked due to high density is well solved. The method is applicable to video images under any lighting condition, in any environment background and of any resolution.

One embodiment provides a system 1 for undertaking market research of a target population 2. System 1 includes memory in the form of a database 3 for storing a first dataset 4 relating to a community 5 having a plurality of members 6. The first dataset 4 collectively includes first demographic data 7 for each member of community 5. A processor 8, included within a computer network 9, is responsive to dataset 4 and a demographic dataset 10 for creating a demographic profile 11 for community 5. The processor is also responsive to profile 11 and a demographic profile 12 for the target population for generating an indication of the representativeness 15 of community 5 relative to population 2.

The invention belongs to the technical field of Internet, especially relates to an advertisement release system and an advertisement release method. According to the technical scheme provided by the invention, a VideoBag feature-based accurate advertisement release system comprises the following modules: a user data acquisition module (1), a video program identification capability calculation and sorting module (2), a VideoBag packaging module (3), a weight calculation module (4), a user feature list generation module (5), a user gender classification model training module (6), a user age group classification model training module (7), a user gender and age group prediction module (8) and an advertisement release module (9), wherein the advertisement release module (9) releases an advertisement to the users with proper gender and age group tags according to a target group of the advertisement. The system accurately classifies the target audiences according to gender and age by directly using the watching behaviors of the users, so that the accuracy that the advertisement reaches the target audiences is improved to a greater degree, and the advertising effect is improved effectively..

Embodiments of the present specification disclose a data processing method, apparatus and device for insurance fraud identification, and a server. The method may comprise: acquiring relationship association data of a target population, wherein the target population comprises a set of selected applied claimants and insurants; constructing multi-degree relationship network map data for the target population based on the relationship association data; clustering the multi-degree relationship network map data by using an unsupervised learning algorithm to determine a classified communities of thetarget population and corresponding community information; and calculating community characteristics of the classified communities based on the community information, and marking the classified community that meets the insurance fraud decision-making condition as a fraud group. According to the embodiments of the present specification, a group of fraudsters can be effectively and efficiently identified from a multi-degree relationship.

The invention discloses an information delivery method and system. The method comprises the following steps: acquiring a seed crowd, and determining a characteristic weight value vector of the seed crowd through a first preset model; extending the seed crowd based on the characteristic weight value vector to generate candidate seed crowds; according to historical data of information delivery related to the candidate seed crowds, determining the optimal candidate seed crowd; determining a characteristic weight value vector of the optimal candidate seed crowd through a second preset model; and performing secondary extending based on the characteristic weight value vector of the optimal candidate seed crowd to generate a target crowd. According to the method, the optimal candidate seed crowd is determined by combining the historical data of information delivery related to the candidate seed crowds, and then secondary model training and secondary extending are performed to determine the target crowd to which information is delivered; and not-prime seed users who have redundancy or are low in confidence level are filtered, so that the data calculation amount is reduced, the determination of the target crowd can be more accurate, and the advertisement delivery effect is improved.

The present invention provides methods for selectively amplifying a target population of nucleic acid molecules (e.g., all mRNA molecules expressed in a cell type except for the most highly expressed mRNA species). The present invention also provides populations of oligonucleotides including the nucleic acid sequences set forth in SEQ ID NOS:1-933. These oligonucleotides can be used, for example, to prime the synthesis of cDNA molecules complementary to mRNA molecules isolated from mammalian blood without priming the synthesis of cDNA molecules complementary to globin mRNA, or ribosomal RNA molecules.

The invention discloses a group identification method based on a personnel behavior rule and a data mining method, belongs to the field of data mining, and particularly relates to a method for identifying key groups in large-scale activities based on the personnel behavior rule. Residence areas and the frequency of the personnel to go to the residence areas are extracted via trajectory data information of the personnel, then semantic information of the areas is further extracted to express user behaviors more accurately based on the extracted residence area information of the personnel, groupclustering is performed by using the data mining method and combining the personnel behavior rule with the feature similarity, and a special key group is identified from the target groups.

A system and method for validating the accuracy of delineated contours in computerized imaging using statistical data for generating assessment criterion that define acceptable tolerances for delineated contours, with the statistical data being conditionally updated and/or refined between individual processes for validating delineated contours to thereby adjust the tolerances defined by the assessment criterion in the stored statistical data, such that the stored statistical data is more closely representative of a target population. In an alternative embodiment, a system and method for validating the accuracy of delineated contours in computerized imaging using machine learning for assessing delineated contours, with the machine learning training data being used to generate geometric attributes, and the geometric attributes used to construct intra- and interstructural geometric attribute distribution models to automatically detect contouring errors. The present invention may be used to facilitate, as one example, radiation therapy.