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Unveiling the role of PANoptosis-related genes in breast cancer: an integrated study by multi-omics analysis and machine learning algorithms.
Breast Cancer Res Treat
January 2025
Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, No.141, Tianjin Road, Huangshi, 435000, Hubei, China.
Background: The heterogeneity of breast cancer (BC) necessitates the identification of novel subtypes and prognostic models to enhance patient stratification and treatment strategies. This study aims to identify novel BC subtypes based on PANoptosis-related genes (PRGs) and construct a robust prognostic model to guide individualized treatment strategies.
Methods: The transcriptome data along with clinical data of BC patients were sourced from the TCGA and GEO databases.
Optimizing photovoltaic power plant forecasting with dynamic neural network structure refinement.
Sci Rep
January 2025
Instituto de Ingeniería Energética, Universitat Politècnica de València, Valencia, Spain.
Reliable prediction of photovoltaic power generation is key to the efficient management of energy systems in response to the inherent uncertainty of renewable energy sources. Despite advances in weather forecasting, photovoltaic power prediction accuracy remains a challenge. This study presents a novel approach that combines genetic algorithms and dynamic neural network structure refinement to optimize photovoltaic prediction.
View Article and Find Full Text PDFSustainability metrics targeted optimization and electric discharge process modelling by neural networks.
Sci Rep
January 2025
Center for Automation and Robotics, CSIC-Universidad Politécnica de Madrid, Arganda del Rey, Madrid, 28500, Spain.
Aluminium and its alloys, especially Al6061, have gathered significant interest among researchers due to its less density, great durability, and high strength. Due to their lightweight properties, the precise machining of these alloys can become expensive through conventional machining operations for intricate products. Therefore, non-traditional machining such as electric discharge machining (EDM) can potentially be opted for the cutting of Al6061.
View Article and Find Full Text PDFThe Anti-Neuroinflammatory Effects of Cepharanthine in Uric Acid-Induced Neuroinflammation.
J Ethnopharmacol
January 2025
Department of Pharmacology of Chinese Materia Medica, Institution of Chinese Integrative Medicine, Hebei Medical University, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Chinese Academy of Medical Sciences, The Key Laboratory of Neural and Vascular Biology, Ministry of Education, Shijiazhuang, Hebei Province 050017, China.
Ethnopharmacological Relevance: Cepharanthine (CEP) is an alkaloid extracted from Stephania cephalantha Hayata, a traditional Chinese medicine (TCM) renowned for its heatclearing and dehumidifying properties. For centuries, Stephania cephalantha Hayata has been employed in the treatment of a wide range of diseases, including pain, edema, inflammation, and fever.
Aim Of The Study: Our research aims to investigate the role and mechanism of Cepharanthine in ameliorating uric acid (UA) induced neuroinflammatory responses.
Background: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding.
Purpose: We present a semi-automated analysis of 21 years of R-type National Cancer Institute (NCI) grants to departments of radiation oncology and radiology using natural language processing (NLP).
Methods: We selected all non-education R-type NCI grants from 2000 to 2020 awarded to departments of radiation oncology/radiology with affiliated schools of medicine.
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