Results 131 to 140 of about 6,446,441 (278)

Carbon Footprint of Bank Loans: Opportunities and Risk Implications in the Banking Industry

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether the carbon footprint of bank loan portfolios influences bank stability, profitability and cost efficiency and whether regulatory quality moderates these relationships. Using a balanced panel of 33 countries from 2005 to 2018, the analysis combines banking‐sector indicators from the World Bank Global Financial ...
Honglei Wang, Chen Lin, Kingsley Imandojemu, Omozele Lynda Showunmi, Romanus Osabohien, Felix Orole   +5 more
wiley   +1 more source

Multidimensional Sustainability Performance Measurement in the Banking Industry: A Data‐Driven Grey Decision‐Support Framework

Business Strategy and the Environment, EarlyView.
ABSTRACT Given the critical role that banks play in sustainable development through their financial intermediation and capital allocation functions, assessing their sustainability performance has become an increasingly important research issue.
Özcan Işık, Mohsin Shabir, Alparslan Oğuz, Okan Alkan   +3 more
wiley   +1 more source

"Mixed Effects Prediction under Benchmarking and Applications to Small Area Estimation" [PDF]

The empirical best linear unbiased predictor (EBLUP) in the linear mixed model (LMM) is useful for the small area estimation in the sense of increasing the precision of estimation of small area means.
Tatsuya Kubokawa
core  

The Nexus of Green Behavior, Corporate Green Innovation Performance, and Industrial Green Value Co‐Creation: Insights for Green Business Strategies

Business Strategy and the Environment, EarlyView.
ABSTRACT Drawing on the lens of green value co‐creation, this study investigates how such co‐creation mediates the relationship between employees' green behavioral intentions and corporate green innovation performance. By integrating internal and external moderating factors, the study constructs a comprehensive model of the green innovation process ...
Zhe Sun, Bingying Zhu, Liang Zhao, Jehan Saleh Lardhi, Oumaima Haj Ammar   +4 more
wiley   +1 more source

UNCERTAINTY UNDER A MULTIVARIATE NESTED-ERROR REGRESSION MODEL WITH LOGARITHMIC TRANSFORMATION [PDF]

Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Isabel Molina
core  

Prediction of Prevalent Cardiovascular Disease Using Social, Environmental, and Behavioral Factors: A Vital Conditions Framework Approach

Chronic Diseases and Translational Medicine, EarlyView.
The Vital Conditions Framework. Graphical representation of the Vital Conditions for Health Framework with seven domains. Images used with permission from The Rippel Foundation: An Introduction to the Vital Conditions for Health and Well‐Being. https://rippel.org/events/webinar-an-introduction-to-the-vital-conditions-for-health-and-well-being/. Federal
Stephanie Kjelstrom, Richard Hass, Robert Vollbrecht, Brandon George, Sharon Larson   +4 more
wiley   +1 more source

Trends and Future Directions in Organic Chemistry for Drug Discovery

Chemistry – A European Journal, EarlyView.
Organic synthesis is being reshaped by the convergence of catalytic innovation, automation, artificial intelligence, and emerging therapeutic modalities. Late‐stage functionalization, photoredox and electrochemical methods, biocatalysis, flow chemistry, DELs, and proximity‐based drugs are examined as components of closed‐loop discovery.
Paweł Kozyra, Maciej Masłyk
wiley   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Irregular visits in longitudinal studies: Comparing inverse intensity of visit weighting and imputation in a causal analysis of antidepressant therapeutic treatment

Canadian Journal of Statistics, EarlyView.
Abstract Irregular observation times are common in longitudinal observational studies and can affect causal inferences. We use data from electronic health records of Kaiser Permanente Washington patients in the United States who initiated an antidepressant medication between 2008 and 2018, with a confirming diagnosis of depression. We are interested in
Janie Coulombe, Erica E. M. Moodie, Susan M. Shortreed   +2 more
wiley   +1 more source