Results 201 to 210 of about 313,138 (345)

Oil Coking Prevention Using Electric Water Pump for Turbo‐Charge Spark‐Ignition Engines [PDF]

, 2014
Han‐Ching Lin, Yan-Zuo Chang, Go‐Long Tsai, Daoming Wang, Feng‐Chi Hsieh, Jinn-Feng Jiang   +5 more
openalex   +1 more source

Clinical Validation of a Fast MRI Method to Evaluate Brain Vascular and Parenchymal Abnormalities in Sturge‐Weber Syndrome

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Sturge‐Weber syndrome (SWS) is a rare neurocutaneous disorder associated with venous capillary malformations, atrophy, and calcifications. Longitudinal imaging is limited by risks of sedation and gadolinium exposure in children.
Scotty G. McKay, Yongsheng Chen, E. Mark Haacke, Yang Xuan, Aimee F. Luat, Csaba Juhász   +5 more
wiley   +1 more source

Evaluating the quality of large language model-generated preoperative patient education material: a comparative study across models and surgery types. [PDF]

Front Med (Lausanne)
Ma J, Zhang Y, Tang H, Yi X, Zhong T, Li X, Wang G.   +6 more
europepmc   +1 more source

Turbo graphene [PDF]

, 2009
Tim Reid
openalex   +1 more source

Intrafraction motion and impact of margin reduction for MR‐Linac online adaptive radiotherapy for pancreatic cancer treatments

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 17-24, March 2025.
This analysis included quantification of intrafraction motion in pancreas stereotactic ablative radiotherapy treated on the MR‐Linac, leading to the development of adjusted (PTV) margins. Intrafraction motion indicated an average target displacement of 1–3 mm, resulting in an adjusted PTV margin of 2 mm in the right–left and superior–inferior ...
Ashleigh Fasala, Madeline Carr, Yolanda Surjan, Parmoun Daghigh, Jeremy de Leon, Abbey Burns, Vikneswary Batumalai   +6 more
wiley   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source

Comparative performance of large language models for patient-initiated ophthalmology consultations. [PDF]

Front Public Health
Huang M, Wang X, Zhou S, Cui X, Zhang Z, Xu Y, Yang W, Chi W.   +7 more
europepmc   +1 more source

Full-parallel architecture for turbo decoding of product codes

, 2006
Christophe Jégo, Patrick Adde, Camille Leroux   +2 more
openalex   +2 more sources

Códigos Turbo M-ários com modulação M-PSK [PDF]

, 2007
Jose da Silva Barros, Renato Baldini Filho   +1 more
openalex   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source