Results 191 to 200 of about 88,969 (268)

Association Between Preoperative Steroid Use and Short‐Term Outcomes Following Pancreaticoduodenectomy: A Nationwide Analysis Using the National Clinical Database

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Pancreaticoduodenectomy (PD) carries a high risk of postoperative complications. Although steroids are widely prescribed for various chronic diseases, the specific impact after PD remains unclear. This study evaluated the association between preoperative chronic steroid use and short‐term outcomes following PD.
Yoshito Tomimaru, Hideki Endo, Hiroyuki Yamamoto, Teruhide Ishigame, Hideki Ueno, Ken Shirabe, Hidetoshi Eguchi   +6 more
wiley   +1 more source

A novel MPPT technology based on dung beetle optimization algorithm for PV systems under complex partial shade conditions. [PDF]

Sci Rep
Mai C, Zhang L, Chao X, Hu X, Wei X, Li J.   +5 more
europepmc   +1 more source

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

AIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang, Xiaopo Cheng, Hui Geng, Jiaze Ma   +3 more
wiley   +1 more source

Marine Predator Algorithm-Based Optimal PI Controllers for LVRT Capability Enhancement of Grid-Connected PV Systems. [PDF]

Biomimetics (Basel)
Ellithy HH, Hasanien HM, Alharbi M, Sobhy MA, Taha AM, Attia MA.   +5 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Optimizing grid-connected PV systems with novel super-twisting sliding mode controllers for real-time power management. [PDF]

Sci Rep
Mohapatra B, Sahu BK, Pati S, Bajaj M, Blazek V, Prokop L, Misak S.   +6 more
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review

Advanced Intelligent Systems, EarlyView.
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu, Yuanwen Zhang, Xiangdong Meng, Guangyu Zhang, Huiwen Zhang, Yuquan Leng   +5 more
wiley   +1 more source

Implantable Systems for Cardiovascular Treatment and Monitoring: Comparative Insights From Intracardiovascular and Extracardiovascular Technologies

Advanced Intelligent Systems, EarlyView.
A unifying device–cardiovascular interface framework is presented to classify implantable cardiovascular technologies as intracardiovascular blood‐contacting systems or extracardiovascular tissue‐only and blood‐handling architectures. Cross‐class comparison across shared semiquantitative criteria, including blood‐contact burden, biomimicry ...
Bergo Nicolò, Semproni Federica, Maselli Martina, Colli Andrea, Cianchetti Matteo, Ciuti Gastone, Stefanini Cesare, Menciassi Arianna   +7 more
wiley   +1 more source

Maximum power extraction from solar PV systems using intelligent based soft computing strategies: A critical review and comprehensive performance analysis. [PDF]

Heliyon
Saxena A, Kumar R, Amir M, Muyeen SM.
europepmc   +1 more source