Results 161 to 170 of about 88,634 (286)

Exploring the Predictors of Nurses' Turnover Intentions Through Neural Network Modeling: A National Cross-Sectional Study in Lithuania. [PDF]

Healthcare (Basel)
Žiedelis A, Lazauskaitė-Zabielskė J, Istomina N, Urbanavičė R, Stanislavovienė J.   +4 more
europepmc   +1 more source

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Using Machine Learning to Analyze the Predictors of Life Satisfaction: Focus on Lifestyle Attitudes and Psychological Factors. [PDF]

Int J Methods Psychiatr Res
Alptekin FB, Torlak E, Asik Ö, Karaaslan B, Turgal E, Burhan HS, Aytac HM, Guclu O.   +7 more
europepmc   +1 more source

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Explainable AI in healthcare: a systematic review of XAI use cases in imaging, diagnostics, and rehabilitation. [PDF]

Front Artif Intell
Aravindkumar A, Ramadoss M, Fakhruddin Ahmed SA, Sampath V, Lakshminarayanan K.   +4 more
europepmc   +1 more source

A Stacked Ensemble Multi‐Label Model for Predicting Co‐Occurring Microvascular and Macrovascular Complications in Type 2 Diabetes

Chronic Diseases and Translational Medicine, EarlyView.
Feature importance for predicting multiple diabetes complications based on a Stacking‐Classifier Chain model. Abstract Background Type 2 diabetes mellitus (T2DM) leads to severe microvascular and macrovascular complications. Traditional single‐label prediction models fail to capture their co‐occurring nature.
Maryam Zamani, Maryam Farhadian, Nasrin Piran, Shiva Borzouei   +3 more
wiley   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Interpretable machine-learning prediction of severe myelosuppression in colorectal cancer patients receiving chemotherapy using XGBoost and SHAP: a retrospective study with a web-based calculator. [PDF]

Front Oncol
Ding L, Peng L, Xu Z, Cui Z, Wang Z.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Optimizing Surgery Strategies in Stage IB Lung Squamous Cell Carcinoma: Insights from Interpretable Machine Learning. [PDF]

Thorac Cancer
Ding Q, Lin C, Lam Y, Guo F, Ma S, Qiang G.   +5 more
europepmc   +1 more source