Results 91 to 100 of about 408 (189)
ABSTRACT This study examines the nexus between board gender diversity (BGD), corporate social responsibility (CSR) performance, and financial outcomes in the context of an emerging country, Türkiye. The sample consists of Turkish non‐financial firms listed on Borsa Istanbul for the period 2008–2023.
Merve Kilic Karamahmutoglu +1 more
wiley +1 more source
ÇANAKKALE SAVAŞI SIRASINDA İSTANBUL HASTANELERİNDE İLK SAĞLIK HİZMETLERİ VE ŞEHİTLERİN DEFNİ
Bugün, İstanbul sakinlerinden birçoğu, Edirnekapı ve Sakızağacı Şehitlikleri ile Karacaahmet Kabristanı’nda Çanakkale Cephesi’nden getirilip de tedavileri sırasında hastanelerde şehit olanların defnedildiği gerçeğini bilmemektedir.
Lokman Erdemir
doaj
AI‐Enhanced Laser Manufacturing: A Social Life Cycle Perspective From the White Goods Industry
ABSTRACT Sustainable manufacturing transitions require companies to demonstrate not only environmental and economic benefits, but also measurable advances in corporate social responsibility (CSR). Therefore, we propose using a guideline‐based Social Life Cycle Assessment (S‐LCA) aligned with UNEP (2020) and ISO 14075 (2024) to evaluate the social ...
Ricardo Mejía‐Marchena +4 more
wiley +1 more source
Role of pharmacogenetics and tacrolimus dosing in liver transplantation. [PDF]
Fung J.
europepmc +1 more source
Tick‐Tock, the Time Has Come: Leveraging TikTok to Understand, Prevent, and Treat Eating Disorders
ABSTRACT Objective TikTok—a highly engaging social media platform with a powerful algorithm that displays short videos—has become massively popular in recent years. As research highlights the concerning relationship between image‐based content on social media and disordered eating symptoms, TikTok may serve as an optimal platform to understand eating ...
Macarena Kruger +3 more
wiley +1 more source
ABSTRACT Background Large language models (LLMs) are increasingly used to obtain health information, including guidance on child and adolescent mental health. In anorexia nervosa (AN), where early recognition and timely intervention are critical, the accuracy of AI‐generated information available to parents may have important clinical implications ...
Celal Yeşilkaya +4 more
wiley +1 more source
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu +7 more
wiley +1 more source
Abstract Background Epilepsy is one of the most common neurological disorders worldwide and is frequently accompanied by stigma and misconceptions. Negative attitudes toward individuals with epilepsy may adversely affect social integration, access to healthcare, and quality of life. Healthcare students represent future professionals whose knowledge and
Ümit Kılıç, Serap Bayram
wiley +1 more source
Surface Roughness of Pit and Fissure Sealants After Immersion in Different Beverages
Sabiha Ceren İlisulu +2 more
doaj +1 more source

