Results 191 to 200 of about 3,008,410 (306)

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

Construction and application of "organ-system-centered" undergraduate nursing professional training model. [PDF]

BMC Nurs
Li Y, Guo LL, Gui J, Zhang X, Wang Y, Liu H, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L.   +17 more
europepmc   +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

Software evaluation on infant development to support teaching and professional training. [PDF]

Rev Lat Am Enfermagem
Melo WS, Braga HFGM, Cardoso MVLML, Melo ESJ, Monteiro FPM.   +4 more
europepmc   +1 more source

Rapid multi-professional training for COVID-19 in rural hospitals. [PDF]

Aust J Rural Health, 2020
Conroy S, McDonald D.
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

Professional training to implement the dietary guidelines for the Brazilian population in primary health care: development and content validity of a massive open online course. [PDF]

BMC Prim Care
Couto VDCS, Soares RM, Jaime PC.
europepmc   +1 more source

Training of Professional Personnel

Exceptional Children, 1968
openaire   +2 more sources

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

Adequacy of Pharmacovigilance Training in the Health Professional Training Institutions in Uganda: Training Gaps and Opportunities for Improvement. [PDF]

Med Sci Educ
Kalidi R, Kyeyune H, Balikuna S, Matovu H, Mayengo J, Ndagije HB.   +5 more
europepmc   +1 more source