Results 161 to 170 of about 23,300,199 (289)
Developing a readiness evaluation framework for public hospital-led digital home nursing services in China: a Delphi-AHP study. [PDF]
Wang Y +6 more
europepmc +1 more source
Abstract Conventional continuous plants use fixed‐capacity equipment, resulting in high capital risk and suboptimal performance under fluctuating demands. To address these, this study proposes an integrated framework for modular process design and supervisory control capable of adapting to demand uncertainty for long‐term economic viability.
T. Asrav, M. Alvarado‐Morales, G. Sin
wiley +1 more source
The Drivers of The Recent Payment Systems Reforms Globally [PDF]
In this paper we introduce and discuss the three drivers of recent intensive payment systems reforms globally in the last 5 years in the process of implementing safe and efficient payment systems.
Can Okay
core
Institutionalizing family care responsibility in China's multilevel medical security system: evidence from long-term care insurance policy texts through a Confucian care ethics lens. [PDF]
Chen C, Zhang Y, Liu P.
europepmc +1 more source
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source
"More work means less pay": a qualitative understanding of physicians' patient selection decision-making under DRG reform in Nanjing, China. [PDF]
Zhu X +5 more
europepmc +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Redesigning the model for providing primary healthcare in Iran: a grounded theory study in rural settings. [PDF]
Fani F +7 more
europepmc +1 more source
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source

