A centralized decision-making support consultation response for fertility preservation in breast cancer patients: benchmark performance of generative large language models in terms of reliability and readability. [PDF]
Wang J, Zhan YY, Shen Y, Cao F, Ling J.
europepmc +1 more source
ABSTRACT This study examines how environmental regulations can drive technological change, drawing on the innovation systems perspective and the strong Porter hypothesis (SPH). The SPH suggests that well‐designed stringent regulations can foster innovation and enhance firm competitiveness, performance, and survival, yet prior research remains largely ...
Muhammad Zubair Khan +3 more
wiley +1 more source
Leveraging Large Language Models to Improve the Readability of German Online Medical Texts: Evaluation Study. [PDF]
Miftaroski A +3 more
europepmc +1 more source
Artificial intelligence tools are reshaping carbon nanotube research by connecting synthesis, characterization, and application‐oriented design. This review outlines how supervised learning, deep learning, Bayesian optimization, and large language models accelerate data extraction, experiment planning, and structure–property discovery for carbon ...
Yanlong Zhao +6 more
wiley +1 more source
Effect of a Clear Communication Training on Medical Residents' Use of Jargon in Written Messages to Patients. [PDF]
Coleman C, Lin C.
europepmc +1 more source
Constructing Multilingual Readability Metrics for Cross-Language FKGL Comparisons
The Flesch-Kincaid Grade Level (FKGL) is a widely used readability measure for English. However, the formula involves English-specific word counts, making it difficult to establish a comparable formula in other languages.
Ehara, Yo
core
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Assessing AI-generated smoking cessation advice for patient education in primary care. [PDF]
Tuz C +5 more
europepmc +1 more source
A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais +2 more
wiley +1 more source
In the ENPRO REUNION project, a manufacturer‐independent modular plant concept was demonstrated by commissioning a pilot plant that integrated modules from different vendors and by expanding the module pool to include extraction and crystallization units.
Laura Marsollek +8 more
wiley +1 more source

