Results 231 to 240 of about 308,819 (304)

Differential performance of large language models in advanced cardiac life support assessment: A comprehensive multi-dimensional analysis of accuracy, consistency, and visual recognition capabilities. [PDF]

PLoS One
Genc M, Bulut B, Akkan Öz M, Gür A, Yortanlı M, Yortanlı BÇ, Sariyildiz O, Yazici R, Mutlu H, Uykan Z.   +9 more
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Correction: Modeling brain metastases in cost effectiveness analysis of atezolizumab for extensive stage small cell lung cancer. [PDF]

Sci Rep
Chen HL, Chueh CH, Huang WM, Chan SH, Cheng HH, Chiang SC, Wu CE, Wen YW, Tsai YW.   +8 more
europepmc   +1 more source

Towards Real‐Time Monitoring of Soft Robotic Systems in Endoscopic Application With Ultra‐Flexible Organic Transistor‐Based Strain Sensors

Advanced Electronic Materials, EarlyView.
The integration of ultra‐flexible, all‐organic, field‐effect transistor‐based strain sensors to soft structures is reported for the development of sensorized soft robots. The envisaged application is the development of next‐generation, controllable, and observable soft robotic catheters for endoscopic applications, such as drug delivery. Mechanical and
Usama Mahmood, Andrea Bartolucci, Giulia Casula, Antonello Mascia, Lorenzo Vannozzi, Stefano Lai   +5 more
wiley   +1 more source

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark. [PDF]

Scand J Trauma Resusc Emerg Med
Orosz G, Szabó RZ, Szabó M, Gyombolai P, Tóth JT, Ruttkay T, Ferenci T, Ungi T, Fichtinger G, Haidegger T.   +9 more
europepmc   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Acceleration and Velocity Dissociate Temporal Phases of Postural Control in Rhesus Macaques. [PDF]

J Neurosci
Leavitt Brown OME, Ramadan BA, Cullen KE.   +2 more
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Act now: strengthening critical care readiness in fragile health systems during war and disasters. [PDF]

Crit Care
Elmi AH.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source