Results 141 to 150 of about 320,543 (261)
"What's the point, when we're already dead?" Implementation challenges of COVID-19 public policies for indigenous peoples in the Peruvian Amazon: A sequential multi-method qualitative study. [PDF]
Valdivia-Gago A +4 more
europepmc +1 more source
ABSTRACT Background The annual number of pancreatoduodenectomies (PDs) in the United States has increased over the past decade, but the facility types driving this growth and whether outcomes have improved remain unclear. We aimed to identify characteristics of facilities with increasing PD volumes and assess national trends in centralization ...
Koichi Tomita, Naruhiko Ikoma
wiley +1 more source
The Development of Regional Policy in the Process of European Integration: An Overview
Ronald Hall
openalex +1 more source
The Lancet Regional Health-Southeast Asia: 2025 year in review. [PDF]
Garg S, Nivetha B, Dharmendra A.
europepmc +1 more source
ABSTRACT Aim The National Clinical Database (NCD) of Japan is the largest nationwide registry, covering over 95% of surgeries in the country. This 2022 annual report summarizes the short‐term outcomes of gastroenterological surgeries and discusses trends and insights over the past decade.
Koshi Kumagai +19 more
wiley +1 more source
From criminalization to care: a comparative rights-based policy review of HIV responses in South Asia. [PDF]
Hoogar P.
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Heterogeneous impacts of fear and policy on building energy use during COVID-19 in South Korea. [PDF]
Yoo J, Kim D, Kim M.
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source

