Results 131 to 140 of about 56,202 (281)
Material ESG Performance and Bid Premium in Merger and Acquisition Deals
ABSTRACT This study examines the firm‐level and country‐level environmental, social, and governance (ESG) performance on bid premiums in cross‐border mergers and acquisitions (M&A) transactions. We document considerable variations in bid premiums. Higher carbon emissions are associated with higher bid premiums, suggesting that acquirers may perceive ...
Ndubuisi Ezenwa +2 more
wiley +1 more source
Enhancing Zero-Shot Learning Through Kernelized Visual Prototypes and Similarity Learning
Zero-shot learning (ZSL) holds significant promise for scaling image classification to previously unseen classes by leveraging previously acquired knowledge. However, conventional ZSL methods face challenges such as domain-shift and hubness problems.
Kanglong Cheng, Bowen Fang
doaj +1 more source
This study develops a novel miRNA‐based framework for estimating the time since deposition of semen stains, combining small RNA sequencing with machine learning. Time‐dependent miRNA modules were identified using Mfuzz clustering and WGCNA, followed by a multi‐stage feature selection pipeline that reduced 261 candidate miRNAs to a minimal 7‐miRNA panel.
Meiming Cai +11 more
wiley +1 more source
Background The effectiveness of alveolar ridge preservation on bone regeneration and tissue healing has been thoroughly documented in the literature.
Hassan Azangookhiavi +5 more
doaj +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
This study found that shame is a significant mediator in positive associations between hairpulling severity and depression and anxiety severity within a community sample of adolescents with clinical levels of hair‐pulling severity. It also found high levels of trance‐pulling and post‐pulling rituals.
Talia F. Mayerson +2 more
wiley +1 more source
Abstract Diseases of the Gastrointestinal (GI) tract significantly affect the quality of human life and have a high fatality rate. Accurate diagnosis of GI diseases plays a pivotal role in healthcare systems. However, processing large amounts of medical image data can be challenging for radiologists and other medical professionals, increasing the risk ...
Muhammad Nouman Noor +5 more
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Abstract Introduction Community‐acquired pneumonia (CAP) is a frequent and costly cause of pediatric emergency department (ED) visits and hospitalizations. Previous prognostic tools for CAP are limited by small samples, single‐center or retrospective designs, lack of generalizability to ED settings, lack of biomarkers, or limited objective data.
Todd A. Florin +21 more
wiley +1 more source
Abstract Background Direct comparative data on periodontal regeneration (PR) versus extraction and implant placement remain limited. Tooth‐specific periodontal conditions such as furcation involvement and overall tooth prognosis may dictate success or failure of such treatment.
Yousef T. Amrou +5 more
wiley +1 more source

