Results 231 to 240 of about 55,072 (308)

From Policy to Practice: A Global Review of Circular Economy Strategy Documents in Construction Using NLP

Business Strategy and the Environment, EarlyView.
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken, Hamad Hassan Awan, Aidos Kyrkynbay, Sanzhar Sanat, Huseyin Atakan Varol, Ferhat Karaca   +5 more
wiley   +1 more source

Using full agreement across multiple large language models for title-and-abstract screening in systematic reviews: a proof-of-concept. [PDF]

Syst Rev
Hilkenmeier F, Stoltenberg M, Stierle C.
europepmc   +1 more source

The Impact of Generative AI on the Perpetuation and Detection of Greenwashing in Sustainability Reports: Insights From an Experiment

Business Strategy and the Environment, EarlyView.
ABSTRACT Our study, based around an experiment, examines the consequences when generative AI tools are used to create and assess sustainability disclosures. There are two key findings: (1) that generative AI greenwashes sustainability disclosures, with our study participants doing little to mitigate this, and (2) that our study participants viewed AI ...
Ruth Dimes, Charl de Villiers, Paul Denny, Juho Leinonen   +3 more
wiley   +1 more source

Open-source large language model-based on-premises pipeline for automated data extraction from unstructured electronic health records: a pilot study. [PDF]

BMJ Health Care Inform
Ntinopoulos V, Rodriguez Cetina Biefer H, Rings L, Rosalia RA, Dzemali O.   +4 more
europepmc   +1 more source

The Tree of Life Synagogue Attack: A Terrorist Radicalization Assessment Protocol‐18 Examination of Pre‐Attack Warnings and Post‐Attack Contagion and Copycat Effects

Behavioral Sciences &the Law, EarlyView.
ABSTRACT This is a retrospective case study of an antisemitic lone actor terrorist who completed the deadliest attack against the Jewish community in American history. The analysis through the lens of the Terrorist Radicalization Assessment Protocol (TRAP‐18) finds that 72% of the warning indicators were present, including four proximal warning ...
Molly Amman, Julia Kupper, J. Reid Meloy
wiley   +1 more source

Evaluating the Pediatric Behavior Guidance of Students Based on Actual Clinical Transcripts Scored by Faculty and Large Language Models: Pilot Comparative Study. [PDF]

JMIR Med Educ
Dhillon IK, Lee GKY, Hu S.
europepmc   +1 more source

Variant Anatomy Literacy as a Patient‐Safety Competency in Surgical Training: A Title‐Informed Conceptual Review and Competency Framework

Clinical Anatomy, EarlyView.
ABSTRACT Surgical safety depends on recognition of patient‐specific anatomy when encountered structures depart from population norms. Knowledge of anatomical variations is often treated as supplemental rather than as a safety‐relevant necessity.
Juan A. Sanchis‐Gimeno, Andreea‐Bianca Zuld, Mathias Orellana‐Donoso, Juan José Valenzuela‐Fuenzalida, Guinevere Granite   +4 more
wiley   +1 more source

Human-in-the-Loop as a Safety Guardrail: Clinical Accountability in the Large Language Model Era. [PDF]

J Med Internet Res
Zablah I, Molina Y, Garcia-Loureiro A.
europepmc   +1 more source

Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impair decision‐making, and generate negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley   +1 more source

Artificial Intelligence Tools for Carbon Nanotube Research: Opportunities From Synthesis to Applications

Carbon and Hydrogen, EarlyView.
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, Fei Wang, Qixuan Cai, Aike Xi, Kangkang Wang, Khaixien Leu, Rufan Zhang   +6 more
wiley   +1 more source