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. 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.

We have found a consistent pattern of hormonal abnormalities in patients with ERECTILE DYSFUNCTION. Our study group included men from age 21 to 88 years old. By helping to correct the hormonal imbalance of progesterone and testosterone towards normal values, most of the men in our study were able to obtain normal erectile function. By using a progesterone / testosterone cream we were able to help correct the hormonal imbalance commonly found in men with ERECTILE DYSFUNCTION.

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 discloses a quantitative evaluation method and a quantitative evaluation system for schoolwork behaviors of teachers and students. The quantitative evaluation system comprises a teacher schoolwork plan and forecast module, a student schoolwork plan and forecast module, and a schoolwork plan processing system. The schoolwork plan processing system comprises a student schoolwork distribution and mutual evaluation plan matching module, a student schoolwork implementation process management module, a student schoolwork mutual help and help-seeking matching module, a student study group activity management module, a student schoolwork mutual evaluation matching module, a teacher schoolwork plan achievement analysis module, a student schoolwork plan achievement analysis module, and a teacher and student schoolwork information statistics and presentation module. The invention provides a novel application evaluation method and a novel application evaluation system which can be used to comprehensively, systematically and efficiently manage the plan setting, implementation, management, marking, statistics and analysis in the process of teachers and students' schoolwork activities and the plan and forecast, quantification and statistics, implementation and management, analysis and comparison, result and forecast, target and achievement in the whole process of schoolwork activities.

A process and system for incentivizes students by generating and displaying a scoring system that helps that student and other students study is disclosed. One embodiment is a computer implemented process that includes displaying to a student one or more virtual student classrooms via a computing device connected to a display; permitting the student to select via an input device connected to the computing device one of the virtual student classrooms to enter; showing the student entering the selected one of the virtual student classrooms; observing the students study together in a study session in the selected virtual student classroom; and grading each student in the study session according to predetermined performance criteria.

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.

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.

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.

The invention discloses a cloud computing-based human resources management simulated combat sand table system and application. A human resources management work operating process is designed to be operation rules, and furthermore a functional operation process of each department of human resources of an enterprise is simulated. During operation of a human resources management simulating sand table, students are divided into study groups each of which includes five to six persons, each study group establishes a company, and the students of the group are managers of all posts of the company. The students practice various management activities under assigned simulating management scenarios and conditions, conduct post design and post analysis through analysis of market demand, make supporting programs and policies for recruitment, organize and implement a training strategy, salary policy and performance evaluation system, and execute a series of human resources management flows of labor relation management reasonably, so that the value of talented persons and management persons is increased continuously, benefits of the companies are increased, the competitiveness of the companies is enhanced, and the human resources management capability of the students is improved.

A study / development is objectively evaluated for introduction of share for investors so as to provide an investment chance to the study / development and pay dividend. A processing unit reads in study plan information, study result information, study cost balance information, and expected result information for each of the study theme identification information from a storage unit. According to each study theme identification information, the processing unit calculates a total investment sum A up to now and future study investment sum B. The processing unit calculates an expected implementation income H and a risk coefficient I. The processing unit calculates a profit index R predicting probability of industrialization of the study theme and obtaining profit and ranks the profit index. The processing unit stores study theme information including various information associated with study / development. The processing unit creates an investment set by selecting a plurality of study themes of the same or similar study groups and discloses information on introduction of share for the investment set via a communication network.

Methods, code, and apparatus are used to ensure that groups of experimental subjects selected for inclusion in a study are matched. Individuals are genotyped and the genotype data is used to determine the extent of mismatch between study groups. If groups show evidence of poor matching, then the genotype data is used to better match the study groups.

Anti-angiogenic gene therapy with a combination of soluble Vascular Endothelial Growth Factors (sVEGFR) improves the efficacy of chemotherapy with paclitaxel for reducing ovarian cancer mean tumor volume (in cubic millimetres) as measured using magnetic resonance imaging. The study groups were: AdLacZ control, combination of AdsVEGFR-1, -2 and -3, combination of AdsVEGFR-1, -2, -3 and paclitaxel, bevacizumab monotherapy, paclitaxel monotherapy and carboplatin monotherapy. Effectiveness was assessed by survival time and surrogate measures such as sequential MRI, immunohistochemistry, microvessel density and tumor growth. Antiangiogenic gene therapy combined with paclitaxel significantly prolonged the mean survival compared to the controls and all other treatment groups (p=0.001). Tumors of the mice treated by gene therapy were significantly smaller than in the control group (p=0.021). The mean vascular density and total vascular area were also significantly smaller in the tumors of the gene therapy group (p=0.01).

The invention relates to a frame and method for developing a reinforcement learning system, which is characterized in that a learner interface interactive with the external environment, a state interface for showing the environment state, an action interface of which the action is executed by the system through an executive component, a basic testing environment and other parts constitute the frame, and then, the frame is used for developing the reinforcement learning system, wherein the learner interface acquires the environment state through the state interface, updates the internal state by learning, makes a decision and calls the action interface to act on the environment. Meanwhile, the study group of the invention also provides the implementation of a new multi-robot reinforcement learning algorithm based on the quantum theory to be used as example demonstration. Developers can finish the development of robots or other intelligent device learning modules only by realizing the corresponding interfaces according to certain steps. The frame of the invention has high portability, can operate in many platforms, can be combined with other robot system frames for use, greatly reduces the compiling complexity of the learning algorithm, and has simple method.

A preparation method of cow mammitis vaccines relates to a preparation method of vaccines. The method comprises preparing staphylococcus aureus toxin with the titer of more than 1024, staphylococcus aureus similar toxin with the titer of more than 128, staphylococcus aureus mycoprotein, streptococcus agalactiae vaccines and escherichia coli vaccines, and obtaining the cow mammitis vaccines after compatibility of medicines. The cow mammitis vaccines are safe and free of toxin, and protection rate on a mouse in a toxin studying group achieves 91.7%. The preparation method is applied in the field of prevention and cure of cow mammitis.

A system for peer to peer collaboration and learning through a mobile application is provided. The system includes a remote network hosting a database of institution specific information including a list of available classes. A mobile application is operable to connect remotely to the remote network. A profile feature is provided in the mobile application and is customizable to a user of the application to allow the user to input information. The mobile application includes a menu feature allowing access to the list of available classes and allows the user to select a class from a list of classes. A classmate feature is provided in the application to provide a list of classmates enrolled in a corresponding class. A study group feature is provided to allow the user to generate a study group having one or more parameters. The mobile application further includes a map feature.

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 a part shape difference detection method based on multi-scale mesh vertex average gradient, which mainly solves the problems that only simple geometrical shape features can be detected and the detection scale is single in the prior art. The method comprises the following steps: firstly, fixing control group Cg and study group Sg samples to prepare all parts, and obtaining three-dimensional images after scanning, secondly, obtaining a triangular mesh of each part through triangulation, thirdly, calculating the vertex average gradient Qp of all vertexes in K scale meshes of all samples of the control group Cg and the study group Sg, fourthly, performing two-sample T-detection to the vertex average gradient Qp, and obtaining a shape difference vertex group J after two times of screening, and fifthly, calculating vectors describing the size, the position and the reliability of shape difference aiming at vertexes in the group J. The method has the advantages of complete scales, accuracy, reliability and high anti-noise property, and is applicable to the shape defect screening and determination between two groups of part samples with different attributes.

The invention discloses a learning group grouping method based on difference, and relates to the technical field of collaborative learning, personalized teaching and experiment grouping. The method comprises the steps of collecting attribute characteristics of N elements, determining the number of groups and the number of elements contained in the groups, standardizing the attribute characteristics of the N elements, determining the difference degree between element pairs, sorting the element pairs, and processing each element pair (i, j). According to the learning group grouping method basedon the difference, the difference between grouping members in collaborative learning is considered, elements with large difference degrees are divided into one group, elements with small difference degrees are distributed to different groups, and therefore the application range of grouping is expanded, and the learning group grouping method based on the difference is more suitable for collaborative learning scenes.

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.

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.

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 relates to an online learning method and system based on supervision constraint. The method comprises the steps: making a learning plan, carrying out online matching of a learning group, and forming learning constraints between students in the learning group; for each trainee, completing daily learning tasks according to the learning plans specified by the trainees and forming learning experience andsharing the learning experience to other trainees in the group; commenting and scoring the learning experience to check the learning condition in real time, and reminding the urging the trainees to learn; and judging whether the score accumulated value of each student in a certain time period meets a learning constraint relieving condition or not, and executing learning constraint relieving or continuing constraint learning until a learning plan is completed. According to the method, learning constraints are established among the students by establishing the learning group,so that the students can supervise and learn mutually, continuous learning is ensured, and the training and learning effect is ensured; and meanwhile, through combination with online target management and offline action, obstacles of learning and practice are broken through, and the effect of learning to use is improved through evaluation.

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.