With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.
Techniques like SPME and QueChERS enhance sustainability by minimizing solvent and consumable use in sample preparation. With ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
Introduction Nasogastric tubes (NGTs) are standard practice in the management of adhesive small bowel obstruction (ASBO). Their insertion can be associated with significant patient discomfort and ...
Objective To estimate the incidence of herpes zoster (HZ) and the incremental healthcare resource utilisation (HRU) and costs ...
NKE's scale-driven reset and sport-led strategy contrast with ONON's premium focus as both navigate growth, margins and ...
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
Background Fermented foods are a promising yet underexplored intervention for influencing brain function and mental health through the gut–brain axis. Objective The objective of this study was to ...
Learn how HML impacts stock returns within the Fama-French model, highlighting value stocks' advantage over growth stocks for strategic investment insights.
Z.ai has released GLM-4.7, an open-weights model featuring 'Preserved Thinking' for agents, claiming benchmark parity with ...