35 results about "Study groups" patented technology

System and method of continuously analyzing trial data of an ongoing clinical trial is provided. A statistical analysis is performed on a trial database containing subject trial data without suspending the ongoing clinical trial. If the result of the statistical analysis does not exceed a predetermined threshold value, then the statistical analysis is repeated while the clinical trial is ongoing. In a blinded clinical trial, a grouped database is generated from the trial database and a blinding database prior to performing the statistical analysis. The grouped database groups the subject trial data according to the study groups. The ability to continuously monitor and analyze the trial data for statistical significance in tandem with data collection while the trial is ongoing provides many benefits to the researchers because the trial database no longer becomes the bottleneck in obtaining useful results and statistical analysis can be conducted on a near real-time basis without having to wait until completion of the trial.

System and method of continuously analyzing trial data of an ongoing clinical trial is provided. A statistical analysis is performed on a trial database containing subject trial data without suspending the ongoing clinical trial. If the result of the statistical analysis does not exceed a predetermined threshold value, then the statistical analysis is repeated while the clinical trial is ongoing. In a blinded clinical trial, a grouped database is generated from the trial database and a blinding database prior to performing the statistical analysis. The grouped database groups the subject trial data according to the study groups. The ability to continuously monitor and analyze the trial data for statistical significance in tandem with data collection while the trial is ongoing provides many benefits to the researchers because the trial database no longer becomes the bottleneck in obtaining useful results and statistical analysis can be conducted on a near real-time basis without having to wait until completion of the trial.

A method and system for evaluating the performance of a study group of loans relative to the performance of a control group of loans is presented. The described method includes determining a study group and a control group from a portfolio of individual loans, determining a set of control variables associated with each of the individual loans included in the study group and the control group, partitioning the control group into one or more cells based on the set of control variables, calculating an estimated performance value for each of the individual loans in the study group based on the cells; and calculating a performance difference for the study group. The performance difference has a standard normal distribution with zero mean which allows statistical significance to be estimated using standard probability tables. The control group may either include or exclude the individual loans in the study group to eliminate inaccuracies.

This invention relates to the use of rotigotine for the effective treatment of Restless Leg Syndrome (RLS) as well as to a rotigotine-containing transepicutaneous pharmaceutical composition, provided in particular in the form of an acrylate- or silicone-based Transdermal Therapeutic System (US) having a surface area of 2.5 to 20 cm2 and containing 0.1 to 3.15 mg / cm2 rotigotine as its active component against the Restless Leg Syndrome, said system leading in the human Restless Leg Syndrome condition to an improvement, compared to a placebo treatment, by 2 or more units on the International Restless Leg Syndrome Study Group (IRLSSG) scale after administration over a period of eight days.

The invention discloses an online learning grouping method based on complex network theory, which comprises the following steps: in a large-scale online learning system, acquiring a data set capable of reflecting learners' personality traits in multiple dimensions; acquiring learners' learning achievements, and combining the acquisition The composite Euclidean distance is constructed from the data set reflecting the learner’s personality traits; each learner is regarded as a node in the learner network to construct the learner network; the greedy algorithm is used to merge the nodes with edge connections in sequence, and automatically aggregate Classes are divided into study groups. The invention realizes the scientific and reasonable fast division of the online study group, simplifies the workload of the division of the online study group, and improves the efficiency, effectiveness and applicability.

The embodiments of the present invention disclose an interactive method, device, device and medium for teaching live broadcast. Wherein, the method includes: if a learning group allocation trigger event is detected, classifying the participating students in the teaching live broadcast members according to preset rules in the current live broadcast room; wherein, the teaching live broadcast members include a teaching staff and at least two participating students ; According to the classification results, assign the participating students of the same category to a study group; create an intra-group discussion room of the live room for participating students to conduct intra-group discussions. The embodiment of the present invention realizes the independent interaction among the participating students by grouping and classifying the participating students in the teaching live broadcast process for the participating students to discuss the teaching content in real time, and can effectively improve the participating students' understanding of the teaching content .

Deficiencies in existing attempts at educational software solutions are addressed by providing systems, methods, and devices that both replicate and facilitate the necessary elements of successful classroom-based learning, while taking advantage of the platform-specific benefits of handheld computing devices. Various applications address the issue of the limited screen size of mobile devices by using the motion sensors of the devices both to move from one part of a program to another, thus eliminating the need for on-screen navigation buttons and allowing the entire screen to be used for content, and also to reinforce learning through the use of mnemonics. In these applications, the user rotates the device after completing each step, in sequence, of a process-based series of problem solving techniques. Group learning dynamics are also reproduced through a study group feature.

Techniques are provided for identifying interactions between natural medicines and modern medicines. A corpus of information is analyzed pertaining to interactions of natural medicines with modern medicines for treating a condition. A mapping is created, wherein natural medicines are mapped to modern medicines for treating the condition. An on-line clinical trial study group is created, allowing participation by users, wherein a participation in a group is allowed for a selected set of users based on a group medication usage profile. Information from participants in each group is collected, and the collected information is analyzed.

The invention relates to the field of teaching equipment, in particular to a centripetal force verification device. "Centripetal force" is a compulsory course for modern elementary physics subjects. It has been studied in junior high schools, and in-depth research is required in high schools. It is also a research focus in universities. In physics teaching, compared with cramming teaching, experimental discussion teaching can enable students to deeply understand and master what they have learned. In the experiment, students can fully participate in it. Each study group can measure and obtain different experimental data. And carry out calculation and verification according to the experimental data measured by oneself. A kind of centripetal force verification device disclosed by the present invention has the characteristics of simple operation, clear force analysis and accurate measurement. Multiple experiments can be done in the classroom for comparative verification, so that students Understand and master the key points and difficulties related to centripetal force faster, and lay a solid foundation for later in-depth research.

The invention discloses a fourteen-point spherical wavelet transformation-based shape difference detection method for irregular parts, which mainly solves the problems that only simple geometrical shape features can be detected and the scale for detection is single, in the prior art. The fourteen-point spherical wavelet transformation-based shape difference detection method comprises the following implementation steps of: (1) determining sample of a reference group C and a study group S, registering parts, and scanning to obtain three-dimensional images; (2) obtaining the triangular mesh and the coordinate and the measured value of the vertex of each part by using a triangulation method; (3) carrying out fourteen-point spherical wavelet transformation on the measured values; (4) carrying out two-sample T detection on wavelet coefficients, and screening to obtain a vertex set J0; (5) carrying out secondary screening on the J0 to obtain a set J of the vertexes with shape differences; and (6) aiming at the vertexes in the set J, calculating and describing the vectors of the sizes, the positions and the features of the shape differences. The fourteen-point spherical wavelet transformation-based shape difference detection method for the irregular parts has the advantages of completion in scale, reliability in precision and strong anti-noise capacity and is applicable to the inter-group shape defect screening or distinction of two groups of part samples with different attributes.

The invention provides a modeling method for a group brain network. The modeling method comprises the following steps that (1), nodes of the group brain network are defined according to group brain imaging data; (2), connecting matrixes between the different nodes are calculated according to the nodes defined in the step (1) and adopted as edges; (3), a group brain network model is constructed according to the nodes defined in the step (1) and the edges defined in the step (2). Meanwhile, the invention provides a topological attribute analytical method for the group brain network. The topological attribute analytical method is achieved based on the modeling method for the group brain network. According to the modeling method and topological attribute analytical method for the group brain network, the interactive mode features of a studied group can be judged, and whether key members exist in the group or not is further analyzed. Therefore, group behaviors can be predicated by utilizing a group neural activity mode result.

The invention provides a method and system for a financial institution for capturing the business of a financial services customer. The system may include a data access system for obtaining and storing data; and an analysis system for processing the data. The analysis system (1) selects a study group of customers from the data; (2) observes the study group so as to produce a profile of each study group customer's financial information; (3) produces a mathematical representation of an interrelationship between study group customers' profiles and the data; (4) applies the mathematical representation to customers not within the study group in order to estimate those customers' profiles; (5) identifies a portion of the customer's monetary flow eligible to be conducted through the financial institution, the identification based in part on the customer's profile; and (6) does not require direct input from the customer. The system may further include a marketing system for producing, outputting and implementing a marketing strategy; and storage systems. In addition, the analysis system may utilize processing including producing a profile of the customer's financial information, the profile including an itemization of the customer's monetary inflow and outflow; and identifying a portion of the customer's monetary flow eligible to be conducted through the financial institution, the identification based in part on the customer's profile.