ISO9001:2000 and TS 16949 have become the major quality system management models in present traditional and Hi-tech industries. The Measurement System Analysis (MSA) Reference Manual, on the other hand, is one of the ...ISO9001:2000 and TS 16949 have become the major quality system management models in present traditional and Hi-tech industries. The Measurement System Analysis (MSA) Reference Manual, on the other hand, is one of the core tools in ISO/TS 16949. MSA aims to evaluate Gauge Repeatability and Reproducibility (GR&R) where the control, monitoring, and maintenance of the measurement process are required in measurement systems so that the measurement capability could be ensured under statistical control. An ideal measurement system should present the statistical characteristic of zero error on any measured product. Nevertheless, such an ideal measurement system hardly exists. Managers therefore have to adopt such measurement systems with unsatisfactory statistical characteristics. Traditional MSA indexes are constructed with definite observed values. Nevertheless, measurements with observed values are not entirely error-free. For this reason, this study proposes to research three cases in a case company and apply the integration of Fuzzy Theory and GR&R to discuss the differences in the evaluation index GR&R and the Number of Distinct Categories (NDC). Substituting fuzzy numbers for definite numbers found that the data of %GR&R were increased and NDC was decreased after fuzzification. Such results verify that the fuzzified %GR&R and NDC become stricter in the determination criterion. The research outcomes could assist the case company in improving the reference data of measurement systems and promoting the measurement quality.展开更多
Background:NDC80 is pivotal in cell division,particularly in regulating the G2/M transition and mitotic progression.Recent studies have demonstrated that NDC80 is significantly overexpressed in multiple solid tumors.F...Background:NDC80 is pivotal in cell division,particularly in regulating the G2/M transition and mitotic progression.Recent studies have demonstrated that NDC80 is significantly overexpressed in multiple solid tumors.Further analysis has suggested that its high expression is significantly associated with an elevated pathological grade,increased metastatic risk,and shortened overall survival in patients with cancer.However,its precise role in pan-cancer development,progression,and prognosis remains unclear.Methods:We conducted a multi-omics analysis of NDC80 using genomic,transcriptomic,and proteomic data from 33 cancer types in The Cancer Genome Atlas,Clinical Proteomic Tumor Analysis Consortium,Genotype-Tissue Expression,and Human Protein Atlas.Results:The results demonstrated frequent NDC80 mutations across multiple malignancies and significantly elevated expression in tumor tissues compared with that in their normal counterparts,correlating with worse overall and disease-free survival.Moreover,NDC80 expression was strongly associated with oncogenic pathways,key protein regulators,cellular components,myeloid-derived suppressor cell infiltration,ESTIMATE scores,and cancer-related signaling networks.Conclusions:These findings underscore the potential of NDC80 as a prognostic biomarker and therapeutic target for cancer treatment.展开更多
文摘ISO9001:2000 and TS 16949 have become the major quality system management models in present traditional and Hi-tech industries. The Measurement System Analysis (MSA) Reference Manual, on the other hand, is one of the core tools in ISO/TS 16949. MSA aims to evaluate Gauge Repeatability and Reproducibility (GR&R) where the control, monitoring, and maintenance of the measurement process are required in measurement systems so that the measurement capability could be ensured under statistical control. An ideal measurement system should present the statistical characteristic of zero error on any measured product. Nevertheless, such an ideal measurement system hardly exists. Managers therefore have to adopt such measurement systems with unsatisfactory statistical characteristics. Traditional MSA indexes are constructed with definite observed values. Nevertheless, measurements with observed values are not entirely error-free. For this reason, this study proposes to research three cases in a case company and apply the integration of Fuzzy Theory and GR&R to discuss the differences in the evaluation index GR&R and the Number of Distinct Categories (NDC). Substituting fuzzy numbers for definite numbers found that the data of %GR&R were increased and NDC was decreased after fuzzification. Such results verify that the fuzzified %GR&R and NDC become stricter in the determination criterion. The research outcomes could assist the case company in improving the reference data of measurement systems and promoting the measurement quality.
基金supported by grants from the Weifang Municipal Health Commission Research Programme Project(No.WFWSJK-2023-032)the Weifang Science and Technology Development Project(No.2023YX053)the Weifang Young Medical Talent Support Program Funding。
文摘Background:NDC80 is pivotal in cell division,particularly in regulating the G2/M transition and mitotic progression.Recent studies have demonstrated that NDC80 is significantly overexpressed in multiple solid tumors.Further analysis has suggested that its high expression is significantly associated with an elevated pathological grade,increased metastatic risk,and shortened overall survival in patients with cancer.However,its precise role in pan-cancer development,progression,and prognosis remains unclear.Methods:We conducted a multi-omics analysis of NDC80 using genomic,transcriptomic,and proteomic data from 33 cancer types in The Cancer Genome Atlas,Clinical Proteomic Tumor Analysis Consortium,Genotype-Tissue Expression,and Human Protein Atlas.Results:The results demonstrated frequent NDC80 mutations across multiple malignancies and significantly elevated expression in tumor tissues compared with that in their normal counterparts,correlating with worse overall and disease-free survival.Moreover,NDC80 expression was strongly associated with oncogenic pathways,key protein regulators,cellular components,myeloid-derived suppressor cell infiltration,ESTIMATE scores,and cancer-related signaling networks.Conclusions:These findings underscore the potential of NDC80 as a prognostic biomarker and therapeutic target for cancer treatment.
