Results 131 to 140 of about 6,984 (243)

CSR disclosure and investment efficiency in MENA countries: The moderating role of CSR committee

Strategic Change, EarlyView.
ABSTRACT Corporate social responsibility disclosure (CSRD) is often recognized as a transparency mechanism that allows companies to communicate their commitment to CSR. However, CSRD may also exacerbate agency conflicts. This study addresses these two contrasting perspectives by investigating the impact of CSRD on investment efficiency and exploring ...
Mohamed Malek Belhoula, Imen Khanchel, Naima Lassoued, Rouba Jebri   +3 more
wiley   +1 more source

Failure in Motion: A Framework for Capability Erosion and Institutional Dysfunction

Strategic Change, EarlyView.
ABSTRACT Drawing on the literature on capability erosion and institutional dysfunction (ID), this study develops a conceptual framework that sheds new light on how the interaction between capability erosion and ID creates conditions for business failure across borders. By articulating two dimensions of heterogeneous capability and resource erosion (i.e.
Joseph Amankwah‐Amoah, Ahmed Adel Tantawy   +1 more
wiley   +1 more source

Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery

Med Research, EarlyView.
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu, Sanchit Arora, Dinesh Kumar, Ashish Kumar Agrawal   +3 more
wiley   +1 more source

PREVENTION OF CORRUPTION IN UKRAINE

Young Scientist, 2019
Nataliia Pak, Alina Titarchuk, Kateryna Kobets   +2 more
openaire   +1 more source

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

Effects and Correction of Patient Bulk Motion in Cranial DENSE MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Applications of DENSE to measure cardiac driven brain tissue pulsations are highly sensitive to bulk patient motion due to the sub‐millimeter displacement encoding required, limiting its accuracy, reproducibility, and use in pediatric and aging populations.
Caroline A. Doctor, Leonardo A. Rivera‐Rivera, Laura B. Eisenmenger, Sterling C. Johnson, Kevin M. Johnson   +4 more
wiley   +1 more source

MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve cardiac motion representation and reduce artifacts for cardiac‐ and respiratory‐resolved imaging through a synergistic combination of retrospective cardiac phased array RF focusing and rigid respiratory motion compensation (MoCo).
Zheyuan Hu, Hsu‐Lei Lee, Tianle Cao, Takegawa Yoshida, Lingceng Ma, J. Paul Finn, Kim‐Lien Nguyen, Anthony G. Christodoulou   +7 more
wiley   +1 more source

Spectral Representation of Neurochemicals With Phase, Frequency Offset, and Lineshape Invariance: Application to JPRESS for In Vivo Concentration and T2 Mapping by Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Using artificial intelligence neural networks to generate a representation that maps the input directly to neurochemical concentrations and metabolite‐level average transverse relaxation times (T2). Methods The proposed model used time‐domain JPRESS data as input and was trained to be invariant to phase shifts, frequency offsets, and ...
Yan Zhang, Jun Shen
wiley   +1 more source

A Spatio‐Temporal Diffusion Model for Cardiac Real‐Time Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Real‐time imaging of cardiac function is favorable due to shorter scan times and becomes necessary when arrhythmia or inability to hold breath leads to insufficient quality of electrocardiogram (ECG)‐gated Cartesian cine. However, comparable spatio‐temporal resolution can only be achieved in undersampled settings, which in turn demand ...
Oliver Schad, Julius Frederik Heidenreich, Nils Petri, Viktor Hartung, Alena Kollmann, Thorsten Alexander Bley, Peter Nordbeck, Bernhard Petritsch, Tobias Wech   +8 more
wiley   +1 more source

Phase‐Pole‐Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Phase singularities are a common problem in image reconstruction with auto‐calibrated sensitivities due to an inherent ambiguity of the estimation problem. The purpose of this work is to develop a method for detecting and correcting phase poles in non‐linear inverse (NLINV) reconstruction of MR images and coil sensitivity maps ...
Moritz Blumenthal, Martin Uecker
wiley   +1 more source