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Decoding exercise-induced atomic components and prognostic shifts in endometrial carcinoma through differentially expressed genes

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Traditional Medicine Research 2024年第11期9卷 51-64页

作者： Yan Li Zhuo Wang Hai-Ning Li Yuan-Yuan Yong Min Kong ngenzi richard djurist Xin Yang Sana Mushtaq Yan Ma Zhi-Fang Wang Ayang Mba Teresa Yue-Yue Shi Yao He Suo-Fei Li Department of Gynechology General Hospital of Ningxia Medical UniversityYinchuan 750000China Department of Gynechology and Obstetrics Affiliated Beijing Chaoyang Hospital of Capital Medical UniversityBeijing 100020China First Clinical Medical College Ningxia Medical UniversityYinchuan 750000China.

Background:This study aimed to portray the atomic intelligence and prognostic implications of differentially expressed genes and their involvement in biological pathways in endometrial carcinoma,with a specific focus on the impacts of exercise on ***:We utilized a multi-faceted approach,including volcano plots,Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses,Venn diagrams,protein-protein interaction networks,Kaplan-Meier survival analysis,Gene Set Variety Analysis,and single-cell transcriptomic ***,we profiled tumor mutational scenes,assessed the prognostic value of immune-related features,and conducted a comprehensive examination of genetic variations and their impact on tumor mutational burden across different cancer *** genomic interactions and methylation elements were also *** real-time quantitative PCR and immunofluorescence staining,the effects of B-cell lymphoma 2(BCL2)silencing on TNF-αand caspase-3 gene expression were ***:Our study identified a noteworthy number of differentially expressed genes in endometrial carcinoma with potential links to athletic performance ***2 expression levels were found to be associated with survival outcomes,and its changeability across cancers was related to immune cell infiltration and immune checkpoint gene ***-cell investigations uncovered cellular complexity within tumor microenvironments and critical biological pathways in BCL2-overexpressing *** expression flow and mutational effect of BCL2 in endometrial carcinoma were characterized,and the prognostic implications of immune-related features were *** variations,including copy number variations and their relationship with gene expression and tumor mutational burden,were *** genomic transaction highlighted the essential role of regulatory genes in cancer *** of the BCL2 gene signifi

关键词： endometrial carcinoma differentially expressed genes pathway enrichment immune pathways prognostic implications exercise and cancer

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Interval Type-2 Fuzzy Model for Intelligent Fire Intensity Detection Algorithm with Decision Making in Low-Power Devices

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Intelligent Automation & Soft Computing 2023年第10期38卷 57-81页

作者： Emmanuel Lule Chomora Mikeka Alexander ngenzi Didacienne Mukanyiligira African Center of Excellence in Internet of Things(ACEIoT) College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda Department of Computer Science College of Computing&Information SciencesMakerere UniversityKampala7062Uganda Directorate of Science Technology&Innovation(DSTI)Ministry of EducationMalawiLilongwe328Malawi Department of Computer&Software Engineering College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda National Council for Science&Technology(NCST) Government of RwandaKigali2285Rwanda

Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby *** circuits,arson,and neglected charcoal stoves are the major causes of these *** methods,i.e.,satellites,are expensive to maintain and cause unnecessary ***,unit-smoke detectors are highly prone to false *** this paper,an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach.A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used to investigate the performance of the Interval Type-2 fuzzy *** crisp input parameters,namely:FIT and FIG��are *** show that the Interval Type-2 model achieved an accuracy value of FIO�=98.2%,MAE=1.3010,MSE=1.6938 and RMSE=1.3015 using regression *** study shall assist the firefighting personnel in fully understanding and mitigating the current level of fire *** a result,the proposed solution can be fully implemented in low-cost,low-power fire detection systems to monitor the state of fire with improved accuracy and reduced false *** informed decision-making in low-cost fire detection devices,early warning notifications can be provided to aid in the rapid evacuation of people,thereby improving fire safety surveillance,management,and protection for the market community.

关键词： Interval type-2(IT2)fuzzy systems mean absolute error(MAE) mean square error(MSE) root mean square

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Predicting the Volume Fraction of Martensite in Welded Mild Steel Joint Reinforced with Titanium Alloy Powder

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Modeling and Numerical Simulation of Material Science 2023年第2期13卷 11-27页

作者： Alain ngenzi Stephen A. Akinlabi Anthony K. Muchiri Pan African University Institute for Basic Sciences Technology and Innovation (PAUSTI) Nairobi Kenya Department of Mechanical and Construction Engineering Northumbria University Newcastle UK Department of Mechatronic Engineering Jomo Kenyatta University of Agriculture and Technology (JKUAT) Nairobi Kenya

Welded mild steel is used in different applications in engineering. To strengthen the joint, the weld can be reinforced by adding titanium alloy powder to the joint. This results in the formation of incomplete martensite in a welded joint. The incomplete martensite affects mechanical properties. Therefore, this study aims to predict the volume fraction of martensite in reinforced butt welded joints to understand complex phenomena during microstructure formation. To do so, a combination of the finite element method to predict temperature history, and the Koistinen and Marburger equation, were used to predict the volume fraction of martensite. The martensite start temperature was calculated using chemical elements obtained from the dilution-based mixture rule. The curve shape of martensite evolution was observed to be relatively linear due to the small quantity of martensite volume fraction. The simulated result correlated with experimental work documented in the literature. The model can be used in other powder addition techniques where the martensite can be observed in the final microstructure.

关键词： Finite Element Analysis Martensite Volume Fraction Dilution Koistinen and Marburger Equation

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Predicting the Volume Fraction of Martensite in Welded Mild Steel Joint Reinforced with Titanium Alloy Powder

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Modeling and Numerical Simulation of Material Science（材料科学建模与数值模拟） 2023年第2期

作者： Alain ngenzi Stephen A. Akinlabi Anthony K. Muchiri

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