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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT
Published 2025-02-01“…The RCT models for HbA1c, SSME referral and SSME attendance were repeated using the RCT data plus the observational data. …”
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The Persistent Threat of Chronic Inflammation on the Mortality Among Cervical Cancer Survivors: A Mendelian Randomization and Machine Learning Analysis Using UK Biobank and Chinese...
Published 2025-07-01“…We aimed to comprehensively evaluate the genetic association between inflammation and cervical cancer, and construct an accurate prognosis model based on circulating inflammatory parameters and indexes with machine learning (ML) algorithms.Patients and Methods: We tested the genome-wide association of circulating inflammatory molecules (CIMs) (91 circulating inflammatory cytokines and 10 inflammatory cells) and summary data retrieved from the UK biobank (cases = 1659 and controls =381,902) with two-sample Mendelian randomization (MR) and colocalization analyses. …”
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A comprehensive review of artificial intelligence approaches for smart grid integration and optimization
Published 2024-10-01“…The increased use of advanced metaheuristic optimization techniques and hybrid machine learning and deep learning models is observed for optimization and forecasting applications. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking
Published 2025-05-01“…And a pre-trained deep learning model is adopted for precise localization and trajectory annotation of pedestrians. …”
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An XGBoost-SHAP framework for identifying key drivers of urban flooding and developing targeted mitigation strategies
Published 2025-06-01“…This research proposes an innovative framework to recognize the driving factors and evaluate the impact of land cover changes on urban flooding, using a machine learning simulation model in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). …”
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The models of the impact of interactive relationship between thinking style and the format of the advertising message on advertisement attractiveness and purchase intention by mean...
Published 2025-03-01“…<p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">The purpose of this research is to provide a model of the interactive effect of various factors including thinking style (Rational-Intuitive) and advertisement message format (rational-emotional) on advertising appeal and purchase intention via visual attention.In this experimental research (laboratory type), 18 advertisement pictures, including rational and/or emotional messages were observed by 180 participants who subsequently answered questions pertaining to the participants' individual tendencies, and questionnaires regarding thinking style, advertisement recall and demographic information. …”
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Cell death pathway regulation by fatty acid metabolism-related genes in neuroblastoma: a multi-omics analysis identifying CHD5 as a novel biomarker
Published 2025-03-01“…Results The study identified 42 fatty acid metabolism key enzyme genes whose expression was significantly different within high-risk and non-high-risk neuroblastoma patients, by which acquiring two distinct prognostic clusters associated with fatty acid metabolism. A machine learning approach was used to select 4 hub genes (CHD5, TP63, XKR4, and CTAG1A) for the establishment of a fatty acid metabolism prognostic risk model. …”
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Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients
Published 2025-08-01“…Central gene expression-based machine learning model shows better performance than DEGs in classifying responders/non-responders with 0.74 AUROC. …”
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Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction
Published 2025-07-01“…Linear Regression is employed as a conventional statistical approach, while Neural Networks are applied as a machine learning method based on deep learning. Performance evaluation is conducted using three error metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). …”
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Evaluation of Merdeka Teaching Platform (PMM)-Based Academic Supervision in Enhancing The Implementation of The Merdeka Curriculum and Teacher Performance in Elementary Schools
Published 2025-03-01“…This study aims to evaluate the effectiveness of academic supervision based on the Merdeka Teaching Platform (PMM) in enhancing teacher performance and the quality of learning in elementary schools in Semarang Regency, Central Java. …”
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Research hotspots and trends in lung cancer STAS: a bibliometric and visualization analysis
Published 2025-01-01“…Current research hotspots include deep learning, lung squamous cell carcinoma, and air spaces STAS.ConclusionThe current research on lung cancer STAS primarily focuses on pathological studies, biological mechanisms, prognostic assessments, and preoperative imaging model predictions. …”
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Kerja lapangan dan simulasi peradilan sebagai metode pembelajaran mata kuliah Hukum Administrasi Negara
Published 2010-06-01“…Based on the explanation above, this research has an objective to develop the field work method and the fictive justice functioned as the learning model of State Administration Law subject in Department of Civic Education and Law (PKnH) FISE UNY which applies student centered learning characteristic. …”
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