Results 161 to 170 of about 29,456 (261)

Determining Acute-Phase Biomarkers for Mild Traumatic Brain Injury Through Exploratory Data Analysis: A Preliminary Report. [PDF]

Mol Neurobiol
de Barros JLVM, de Freitas Cardoso MG, de Souza Almeida DE, da Silva AS, Machado CA, da Silva Oliveira B, de Abreu IAT, Fontes PF, Rocha NP, Pedroso VSP, Faleiro RM, Vieira ÉLM, Teixeira AL, de Souza LC, de Queiroz RAB, de Miranda AS, Minas Gerais Traumatic Brain Injury Study Group.   +16 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

Do Banks in the Middle East and North Africa Region Price Carbon Exposure?

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad   +2 more
wiley   +1 more source

Automated Tissue Classification and Candidate Biomarker Feature Extraction in Mass Spectrometry Imaging Based on Interpretable Deep Learning Algorithm. [PDF]

Rapid Commun Mass Spectrom
Xu G, Gan S, Guo B, Yang L.
europepmc   +1 more source

Predicting Environmental Violations: A Cross‐Method Framework Integrating Parametric and Non‐Parametric Approaches

Business Strategy and the Environment, EarlyView.
ABSTRACT Prior research has mostly relied on linear and parametric models while explaining environmental non‐compliance, but they have a limited capacity to capture non‐linear and asymmetric effects of elements affecting firms' environmental compliance.
Ashutosh Singh, Salwa Saleh Almasabi, Ajay Kumar Patel, Judit Petra Koltai, Honghan Qi   +4 more
wiley   +1 more source

Using Machine Learning to Predict Corporate Environmental Violation: A Stakeholder Pressure Perspective

Business Strategy and the Environment, EarlyView.
ABSTRACT Predicting corporate environmental violations remains a key challenge in practice and in environmental governance research. However, existing studies have largely focused on ex post associations between stakeholder pressures and realized environmental violations, offering limited insight into whether stakeholder pressures can be used ex ante ...
Xiaolan Chen, Ning Ding, Haodong Jin, Rui Xue, Yuhao Yang   +4 more
wiley   +1 more source

Entrepreneurial Ecosystem Conditions and Sustainable Value Creation: Predictive Evidence From Knowledge‐Intensive Ventures in São Paulo, Brazil

Business Strategy and the Environment, EarlyView.
ABSTRACT Entrepreneurial ecosystems (EEs) are systems shaping innovation and sustainable development, yet limited evidence exists on the relative predictive contribution of their components to sustainable value creation. This study examines associations between six EE dimensions and environmental, social and economic value creation among 245 knowledge ...
Damaris Chieregato Vicentin, Gustavo Hermínio Salati Marcondes de Moraes, Bruno Brandão Fischer, João Henrique Paulino Pires Eustachio, Walter Leal Filho   +4 more
wiley   +1 more source

Using interpretable machine learning models to predict the occurrence of severe influenza in hospitalized children: a retrospective cohort study. [PDF]

BMC Med Inform Decis Mak
Wu J, Qian W, Xie S, Yan Y, Chen G, Wang Y, Liu X, Ma X, Du Y, Liang Y, Gu S, Li W, Chen A, Yi C, Tian M.   +14 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