Results 61 to 70 of about 920 (162)

The Learning Curve of Junior Endoscopists in EUS‐Guided Gastroenterostomy With the Wireless Simplified Technique: A Prospective Study

United European Gastroenterology Journal, Volume 14, Issue 2, March 2026.
ABSTRACT Introduction Learning curve of EUS‐guided Gastroenterostomy (EUS‐GE) has been explored through retrospective studies involving few elite senior endoscopists (SE), with procedural time as the main surrogate outcome. This study aims to evaluate the training of junior endoscopists (JE) approaching the technique and cover clinically relevant ...
Giuseppe Vanella, Francesco Frigo, Francesca Perelli, Rukaia Barà, Patrick Maisonneuve, Livia Archibugi, Matteo Tacelli, Gaetano Lauri, Daniele Bellafante, Niccolò Bina, Rubino Nunziata, Paolo Biamonte, Ruggero Ponz De Leon Pisani, Gabriele Capurso, Paolo Giorgio Arcidiacono   +14 more
wiley   +1 more source

X‐ray waveguide optics at GINIX/P10 PETRA III: recent progress and future directions

Journal of Synchrotron Radiation, Volume 33, Issue 2, Page 298-313, March 2026.
X‐ray waveguide optics enable spatial and coherence filtering of a nano‐focused synchrotron beam and provide tailored illumination wavefronts for holographic imaging. Progress in fabrication, characterization and advanced waveguide interferometers can enhance holographic imaging.Here we report on recent progress in X‐ray waveguide optics for full‐field
Tim Salditt, Paul Meyer, Leon Merten Lohse, Jens Lucht, Jakob Soltau, Neele Kozák, Mike Kanbach, Markus Osterhoff, Fabian Westermeier   +8 more
wiley   +1 more source

Optimization Design of Marine Centrifugal Pump Blade Profile Based on Hybrid Clonal Selection Algorithm Integrating Slime Mold Algorithm and Tangent Flight Mechanism

Journal of Marine Science and Engineering
The marine centrifugal pump is one of the most energy-intensive pieces of equipment in ship auxiliary machinery, and the efficient design of its hydraulic components can effectively reduce the total energy consumption of the ship system.
Ye Yuan, Qirui Chen, Shifeng Wang
doaj   +1 more source

Suggesting a Novel Hybrid Approach for Predicting Solar Irradiance in the Qinghai Province of China [PDF]

Advances in Engineering and Intelligence Systems
Solar energy is a widely embraced renewable resource, characterized by its unpredictable, fluctuating, and stochastic nature. To mitigate risks and optimize asset utilization cost-effectively, precise analysis and forecasting of solar radiation can prove
Baran Yılmaz, Rachel Samra
doaj   +1 more source

The Prebiotic and Techno‐Functional Potential of Microbial Exopolysaccharides for Human Health and Food Systems

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 2, March 2026.
ABSTRACT Microbial exopolysaccharides (EPS) represent a diverse class of biopolymers holding considerable promise as functional food ingredients. This review analyzes the dual function of microbial EPS as a candidate for prebiotic agents and techno‐functional additives.
Md. Abdur Razzak, Hye Kim, Md. Ariful Haque, Min Ji Jang, Sehyeon Song, Anishka Talari, Lakshmi Devi Chittepu, Seockmo Ku   +7 more
wiley   +1 more source

Artificial Intelligence Technologies and Employee Pay in the United Kingdom: Evidence From Matched Employer–Employee Data

British Journal of Industrial Relations, Volume 64, Issue 1, Page 116-129, March 2026.
ABSTRACT This paper examines the impact of artificial intelligence (AI)‐enabled technologies on employee pay in the United Kingdom. We use matched nationally representative data from the Employers’ Digital Practices at Work Survey and an original survey of 6000 UK workers and apply machine learning techniques to uncover relationships between AI ...
Felix Schulz, Danat Valizade, Mark Stuart, Magdalena Soffia, Jolene Skordis   +4 more
wiley   +1 more source

Optimizing solar panel maximum power point tracking and parasitic parameter extraction in partial shading with Enhanced Slime Mold optimization

Measurement: Sensors
Solar energy offers several environmental, economic, and energy security advantages. Parasitic parameters and shading on solar panels can reduce efficiency.
JVG Rama Rao, S. Venkateshwarlu, Shaik Abdul Saleem, Sairaj Arandhakar, Srinu Ruttala   +4 more
doaj   +1 more source

Longitudinal Alzheimer’s Disease Progression Modelling via Hybrid Vision Transformers and Recurrent Neural Networks With Cross‐Modal Feature Fusion

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT Modelling the evolution of Alzheimer's disease (AD) requires a thorough spatiotemporal study of longitudinal neuroimaging data. We propose in this paper a novel deep learning framework that uses a parallel combination of Recurrent Neural Networks (RNNs) and Vision Transformers (ViT) to extract temporal disease dynamics and spatial structural ...
Sahbi Bahroun, Gwanggil Jeon
wiley   +1 more source

Multi-objective Slime Mold Algorithm: A Slime Mold Approach Using Multi-objective Optimization for Parallel Hybrid Power System

Sensors and Materials, 2022
Tianjun Zhu, Hegao Wan, Zhuang Ouyang, Tunglung Wu, Jianguo Liang, Weihao Li, Bin Li, Shiting Han   +7 more
openaire   +1 more source

MOSMA: Multi-objective slime mold algorithm based on reference point non-dominated sorting

, 2023
Abstract Slime Mould Algorithm (SMA) has been widely noticed by researchers for its powerful multi-point search capability and simple and feasible structure, and many advanced versions of SMA have also been proposed. However, most existing methods focus on the single-objective research domain, and research on multi-objective SMA remains ...
Xuebing Cai, Zengyu He, Jiaming Guo, Kai Wang, Fei Cheng   +4 more
openaire   +1 more source