Results 111 to 120 of about 775,686 (346)

The relationship between professional autonomy and moral distress among nurses working in children's units and pediatric intensive care wards

open access: yesInternational Journal of Nursing Sciences, 2017
Background: Nurses serve as the primary source of care for minor patients in intensive care units. Even though they support both patients and their relatives, these nurses may experience moral distress from their profession.
Zahra Sarkoohijabalbarezi   +2 more
doaj   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

“I Treat Everyone with Respect”: Debt Collection Attorneys as Agents of Institutionalized Racism in a Color-blind America [PDF]

open access: yes, 2017
How do debt collection attorneys understand their work in light of increased regulation of the industry and its historic structural racism? Drawing on over sixty hours of observation in two small claims courts, analysis of three months of cases, and semi-
Miller, Mahala
core   +1 more source

Professionalism in Science: Competence, Autonomy, and Service [PDF]

open access: yesScience and Engineering Ethics, 2019
Some of the most significant policy responses to cases of fraudulent and questionable conduct by scientists have been to strengthen professionalism among scientists, whether by codes of conduct, integrity boards, or mandatory research integrity training programs.
openaire   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Comparative study of representations of professional autonomy produced by first and last-period undergraduate nursing students

open access: yesRevista Latino-Americana de Enfermagem, 2017
Objective: to compare the social representations of professional nurse autonomy produced by first and last-period undergraduate nursing students.
Érick Igor dos Santos   +5 more
doaj   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

Professional autonomy [PDF]

open access: yesVital, 2011
S. Turner, M. K. Ross, R. J. Ibbetson
openaire   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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