Disrespect, Abuse, and Satisfaction With Facility-Based Childbirth in Rural Bangladesh. [PDF]
Rahman M +10 more
europepmc +1 more source
Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli +2 more
wiley +1 more source
Abuse of people with mental illnesses perpetrated by healthcare professionals: a scoping review. [PDF]
Matoba K +4 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
A qualitative study of the impact of the World Health Organisation QualityRights human rights and mental health Training on changing attitudes to mental health and human rights in Ghana. [PDF]
Sobers T +13 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Unveiling patriarchy: a systematic review of economic violence against women. [PDF]
Hani SB, Obeisat SA, Hweidi LI.
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Long-term segregation in mental health hospitals: qualitative study of its impact and human rights implications. [PDF]
Fradley K, Haines-Delmont A.
europepmc +1 more source
ON THE CONCEPT OF "ABUSE OF THE RIGHT"
openaire +1 more source

