Results 111 to 120 of about 2,731,939 (280)

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced 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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Professional Nursing Autonomy and Safe Nursing Care in Newly Graduated Nurses Working in Emergency Departments [PDF]

مجله دانشگاه علوم پزشکی گیلان
Background It is necessary to provide safe care for patients with acute and life-threatening conditions by nurses working in the emergency departments (EDs). These nurses need higher levels of independent performance. Therefore, the competency to provide
Leila Rouhi Balasi, Hasan Shafaati Shamami, Ali Alizadeh, Sadegh Pasandidehfar, Mojtaba Makhsoos, Ahmad Gholami   +5 more
doaj  

Development and validation of a professional autonomy scale for Japanese midwives. [PDF]

Nagoya J Med Sci, 2023
Obata S, Iriyama S.
europepmc   +1 more source

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

Advanced 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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

The impact of a nutrition course on self-epistemic authority, professional meaning as mediating factors on professional identity among nursing students

BMC Nursing
Background The professional competence of nursing personnel is integral to the efficacy of nursing procedures. Educational endeavors, especially those encompassing professional training programs, are critical in fostering a professional identity among ...
Miriam Theilla, Dorit Weil-Lotan
doaj   +1 more source

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

Advanced 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, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Semi‐autonomous Navigation of Magnetic Microcarriers for Knee Cartilage Regeneration

Advanced Intelligent Systems, EarlyView.
Autonomous navigation of magnetic microcarriers in complex 3D environments is investigated through a semi‐autonomous strategy integrating magnetic actuation with monocular visual feedback. Real‐time global tracking is achieved via radio‐frequency‐based localization and depth estimation, while model‐based computation determines optimal steering forces ...
Kim Tien Nguyen, Cuong Manh Hoang, Jong‐Oh Park, Jayoung Kim   +3 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

The Relationship Between Intensive Care Nurses' Missed Nursing Care Needs, Professional Autonomy Attitudes, and Work Motivation: Analytical and Descriptive Study

Sağlık ve Hemşirelik Yönetimi Dergisi
Aim: This study aims to determine the relationship between ICU nurses' unmet nursing care needs, attitudes toward professional autonomy, and work motivation Method: This analytical-descriptive study was conducted with 228 nurses working in the intensive ...
Ebru Ekiz, Afitap Özdelikara
doaj   +1 more source