59 results about "Meta-analysis" patented technology

The present invention relates to a method and apparatus to objectively measure stress and fatigue using measurement tools, record stress and fatigue related data in a standardized database, create automated prompts and alerts based upon pre-defined stress and fatigue thresholds (which are derived based upon individual end-user and task performance), provide a number of interventions (which can be preferentially selected by the individual end-user), create data-driven best practice guidelines though meta-analysis of the database, and provide an objective tool for comparative technology assessment.

The invention discloses an application of an AMZ1 gene to preparation of a kit for diagnosing colorectal cancers (CRCs). Five CRC cases and expression chip data of genome mRNA (messenger ribonucleic acid) of normal people, which meet the requirements, are brought into the range of study through data retrieval by utilizing a GEO (gene expression omnibus) of the NCBI (National Center for Biotechnology Information). The AMZ1 gene is screened to be a gene with significant difference by carrying out meta analysis on the chip data. The expression of the AMZ1 gene, compared with normal tissues, in the CRC tissues is reduced, and the conclusion is verified by using a florescent real-time quantitative PCR (polymerase chain reaction) method. Accordingly, the invention also discloses the kit for diagnosing the CRCs and a method for diagnosing the CRCs by utilizing the kit. According to the invention, on the one hand, a new idea for studying the molecular mechanisms of the CRCs is provided, and on the other hand, the more sensitive diagnostic kit is provided for early diagnosis of the CRCs.

The invention discloses a quality-related process monitoring method based on weighted partial mutual information, which belongs to the field of fault diagnosis. The present invention combines partial mutual information and Bayesian weighted fusion, under the supervision of multiple quality indicators, selects process variables that are closely related to quality, models the selected variables through correlation meta-analysis, and obtains a process variable that contains the main information of quality changes. related element. The process data space is divided into two subspaces, and statistics are constructed in the subspaces for fault detection. This method can improve the detection rate of quality-related faults, significantly reduce false alarms, and improve the efficiency of actual industrial processes; this paper The inventive method can effectively extract meaningful information hidden in process variables and quality variables; by constructing statistical indicators in two orthogonal subspaces respectively, faults related to quality can be detected, and interference alarms not related to quality can be reduced at the same time.

The present invention relates to a color sample optimization-based illumination preference degree evaluation index construction method and system. The method comprises the steps of constructing a typical color sample spectral reflectance data set; constructing a full-color gamut typical color sample set; collecting a plurality of current representative illumination preference degree research data, and obtaining the relative spectrum power distribution and the corresponding preference degree ranking data of the used light sources; selecting a plurality of color samples from the above full-color gamut typical color sample set, testing all combination modes of the color samples, and calculating the color gamut volume of the specific color sample combination mode on the light source conditions and aiming at the combination modes; calculating the SPEARMAN correlation coefficients between the calculated color gamut volumes and the corresponding preference degree ranking data, and further solving the comprehensive weighted correlation coefficients for researching the corresponding correlation coefficients according to a meta analysis method; on the basis of maximizing the comprehensive weighted correlation coefficients, determining an optimal color sample combination, and taking the color gamut volume of the combined samples on a to-be-tested light source condition as a final index.