Results 121 to 130 of about 97,330 (246)

Quantile Regression [PDF]

, 2000
openaire   +3 more sources

Green Ambiguity Shapes Sustainable Investing

Business Strategy and the Environment, EarlyView.
ABSTRACT Green Exchange‐Traded Funds (ETFs) have experienced strong growth in recent years, reflecting increasing investor attention toward sustainability. However, these funds rely on a wide range of environmental metrics that are often weakly aligned, raising concerns about the meaning of greenness in sustainable investing.
Rita Laura D'Ecclesia, Giacomo Morelli, Kevyn Stefanelli   +2 more
wiley   +1 more source

Shaping Energy Transitions: Sectoral Demand, Climate Risk Exposure, and Renewable Pathways in Sub‐Saharan Africa

Business Strategy and the Environment, EarlyView.
ABSTRACT Energy is a fundamental driver of economic growth, shaping productivity, industrialization, and long‐term economic resilience. In sub‐Saharan Africa (SSA), where energy access remains uneven and infrastructure is underdeveloped, understanding sector‐specific energy demand is essential for designing sustainable energy strategies.
Michael Appiah, Emmanuel Baffour Gyau, Genanew Bekele Worku, Simplice A. Asongu   +3 more
wiley   +1 more source

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui, Hamid Ghazi H. Sulimany   +1 more
wiley   +1 more source

The Contingent Eco‐Innovation–Firm Performance Link: A Global Systematic Literature Review and Future Research Agenda

Business Strategy and the Environment, EarlyView.
ABSTRACT The relationship between eco‐innovation (EI) and firm performance (FP) is central to environmental management research, yet empirical evidence remains fragmented and highly context dependent. This article presents a global systematic literature review (SLR) of 541 empirical studies (2006–April 2025) to (i) diagnose the systematic sources of ...
Ali Mammadov
wiley   +1 more source

Effect of iodine nutrition on blood glucose and blood lipid levels in different regions: Based on quantile regression. [PDF]

PLoS One
Chen S, Zhang Y, Liu Z, Wang C, He Y, Liu P, Zhang W, Meng F, Liu L, Sun D, Fan L.   +10 more
europepmc   +1 more source

Scalable desolvation synthesis, storage stability, and comprehensive biophysical characterization of human hemoglobin nanoparticles as a potential hemoglobin‐based oxygen carrier

Biotechnology Progress, EarlyView.
This work describes the development of human hemoglobin nanoparticles using an anti‐solvent precipitation synthesis method as a potential next generation hemoglobin‐based oxygen carrier. The hemoglobin nanoparticles are uniform in size and shape, hemocompatible, stable at various storage conditions, and demonstrate a scalable synthesis technique ...
Alisyn Greenfield, Andre F. Palmer
wiley   +1 more source

Identifying unmeasured heterogeneity in microbiome data via quantile thresholding (QuanT). [PDF]

Microbiome
Lu J, Satten GA, Meyer KA, Launer LJ, Ling W, Zhao N.   +5 more
europepmc   +1 more source

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

Uncertainty Calibration in Molecular Machine Learning: Comparing Evidential and Ensemble Approaches

Chemistry – A European Journal, EarlyView.
Raw uncertainty estimates from deep evidential regression and deep ensembles are systematically miscalibrated. Post hoc calibration aligns predicted uncertainty with true errors, improving reliability and enabling efficient active learning and reducing computational cost while preserving predictive accuracy.
Bidhan Chandra Garain, Max Pinheiro Jr., Matheus de Oliveira Bispo, Mario Barbatti   +3 more
wiley   +1 more source