Results 201 to 210 of about 146,182 (300)

Rediscovering lost colors: film color restoration by hyperspectral imaging and cluster-based spectral correction algorithm (CBSCA). [PDF]

RSC Adv
Catelli E, Liu L, Fadanni J, Stergar J, Milanič M, Sciutto G, Zerbetto F, Prati S.   +7 more
europepmc   +1 more source

Do CSR Efforts Reduce Environmental Decoupling: Evidence From S&P 500 Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates the impact of Corporate Social Responsibility (CSR) committees and CSR‐focused employee training on environmental decoupling. Using panel data of 2489 firm‐year observations from S&P 500 firms between 2009 and 2022, we employ fixed‐effects models to examine how CSR governance mechanisms influence the alignment between ...
Burcu Gürol, Yan Wang, Gerçek Özparlak   +2 more
wiley   +1 more source

Density Estimation Based on Mixtures of Gaussians for Perovskite Solar Cells Modeling. [PDF]

J Chem Inf Model
Sepúlveda FA, Cerro-Ramos D, Jacobsson TJ.   +2 more
europepmc   +1 more source

CEO Duality and Corporate Social Responsibility. A Literature Review With a Focus on Country Effects

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT In recent years, many researchers have become interested in the relationship between CEO duality (where one individual serves as both CEO and board chair) and CSR outcomes. Given the varied research results, this structured literature review concentrates on the country effects of this dynamic link.
Patrick Velte
wiley   +1 more source

Does the regulatory quality matter in the relationship between climate finance and inclusive growth in Africa? [PDF]

PLoS One
Ayana ID.
europepmc   +1 more source

Multivariate linear regression to predict association of non‐invasive arterial stiffness with cardiovascular events

ESC Heart Failure, Volume 12, Issue 2, Page 1141-1150, April 2025.
Abstract Background Arterial stiffness is a crucial factor in determining an increase in systolic blood pressure and pulse pressure and can also predict the development of cardiovascular disease (CVD). The purpose of this study was to examine the relationship between arterial stiffness and future CVD.
Susan Darroudi, Mostafa Eslamiyeh, Amin Mansoori, Eisa Nazar, Maryam Alinezhad‐Namaghi, Reza Rezvani, Majid Ghayour‐Mobarhan, Habibollah Esmaily, Mohsen Moohebati, Gordon A. Ferns, Mark Ghamsary   +10 more
wiley   +1 more source

A WGS workflow for identifying genetically modified and foodborne-pathogenic <i>Bacillus</i> isolates. [PDF]

Food Chem (Oxf)
Godfroid M, Van Uffelen A, Fraiture MA, De Keersmaecker SCJ, Vanneste K, Roosens NHC, Bogaerts B.   +6 more
europepmc   +1 more source

CardiLect: A combined cross‐species lectin histochemistry protocol for the automated analysis of cardiac remodelling

ESC Heart Failure, Volume 12, Issue 2, Page 1398-1415, April 2025.
Abstract Background Cardiac remodelling, a crucial aspect of heart failure, is commonly investigated in preclinical models by quantifying cardiomyocyte cross‐sectional area (CSA) and microvascular density (MVD) via histological methods, such as immunohistochemistry.
Tamás G. Gergely, Tamás Kovács, Andrea Kovács, Viktória E. Tóth, Nabil V. Sayour, Gábor M. Mórotz, Csenger Kovácsházi, Gábor B. Brenner, Zsófia Onódi, Balázs Enyedi, Domokos Máthé, Przemyslaw Leszek, Zoltán Giricz, Péter Ferdinandy, Zoltán V. Varga   +14 more
wiley   +1 more source

Gaussian mixture model for enhancing the quality of transmission estimation in optical networks: a machine learning approach. [PDF]

Sci Rep
Sahu S, Clement JC.
europepmc   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source