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Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications.
PLoS One
December 2024
Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.
This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. Assume that the stress (T) and strength (Q) are independent random variables that follow the Burr III distribution and the Burr XII distribution, respectively, with a common first-shape parameter. The Bayes estimator and maximum likelihood estimator of ϑ are obtained.
View Article and Find Full Text PDFThe role of CD101 and Tim3 in the immune microenvironment of gastric cancer and their potential as prognostic biomarkers.
Int Immunopharmacol
December 2024
Department of Chemotherapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China. Electronic address:
Background: Gastric cancer (GC) is a prevalent malignancy. Current treatment modalities, including surgery, chemotherapy, radiotherapy, and targeted therapy, have limitations in early detection and personalized treatment, necessitating the discovery of novel biomarkers and therapeutic strategies. This study aims to elucidate the molecular mechanisms underlying GC, focusing on the differentially expressed genes (DEGs) of CD101 Tim3 CD8 T cells (CCT precursors) and CD101 Tim3 CD8 T cells (CCT).
View Article and Find Full Text PDFPrognostic significance of CNNM4 in ovarian cancer: a comprehensive bioinformatics analysis.
Front Oncol
December 2024
School of Life Sciences, Qilu Normal University, Jinan, China.
Background: Ovarian cancer (OV) is a common malignancy in the female reproductive system, characterized by poor prognosis and high recurrence rates. The discovery of dependable molecular markers is crucial for improving the timeliness of detection, diagnosis, and treatment, ultimately aiming to lower fatality rates. CNNM4 (cyclin and CBS domain divalent metal cation transport mediator 4), a member of the CNNM (Cyclin M) family, binds to PRL (prolactin) to regulate magnesium homeostasis and influence tumor cell proliferation.
View Article and Find Full Text PDFA Three-Stage Cellular Automata Model of Complex Large Roundabout Traffic Flow, with a Flow-Efficiency- and Safety-Enhancing Strategy.
Sensors (Basel)
November 2024
Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314019, China.
Intelligent transportation systems (ITSs) present new opportunities for enhanced traffic management by leveraging advanced driving behavior sensors and real-time information exchange via vehicle-based and cloud-vehicle communication technologies. Specifically, onboard sensors can effectively detect whether human-driven vehicles are adhering to traffic management directives. However, the formulation and validation of effective strategies for vehicle implementation rely on accurate driving behavior models and reliable model-based testing; in this paper, we focus on large roundabouts as the research scenario.
View Article and Find Full Text PDFEnhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies.
BMJ Open
December 2024
School of Nursing and Health Management, Shanghai University of Medicine and Health Sciences, Shanghai, People's Republic of China
Objective: The aim of this study is to develop, implement the precise reservation path (PRP) and investigate its prediction function for scheduling shunting patients for specialist appointment registration in Shanghai, China.
Design: The PRP system was built on the hospital's existing information system, integrated with WeChat (WeCom) for user convenience. The outcome analysis employed a mixed-methods approach, integrating quantitative analysis with statistical and machine learning techniques, including multivariate logistic regression, random forest (RF) and artificial neural network (ANN) analysis.
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