Results 201 to 210 of about 943,770 (331)

Mechanical Glass‐Backsheet Photovoltaic Modules Delamination: Toward Materials Recycling

Advanced Energy and Sustainability Research, EarlyView.
A new technology based on sanding has been developed to collect most of the materials contained in a photovoltaic (PV) module in the form of powders. A pilot line is now operational. This technology is specifically suited for Glass//Backsheet PV panels, which represent today the vast majority of the end of life PV panels.
Fabrice Coustier, Xavier Mackré‐Delannoy, Roland Riva, Jérémie Aimé, Romain Duwald, Youcef Karar   +5 more
wiley   +1 more source

The culture of JACMP, the sanctity of editorial independence, and why your ego is not your amigo. [PDF]

J Appl Clin Med Phys
Mills MD.
europepmc   +1 more source

Gorilla journal : nr. 24 / journal of Berggorilla- & Regenwald-Direkthilfe [PDF]

, 2002
Berggorilla- & Regenwald-Direkthilfe e.V.
core  

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

A multi-factor data mining and transformer-based predictive modeling approach for career success using educational and behavioral traits. [PDF]

Sci Rep
Zihan Z.
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Extreme nonlinearity by layered materials through inverse design. [PDF]

Sci Adv
Zhao Z, Kundu RD, Sigmund O, Zhang XS.
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Arthroscopic Rotator Cuff Repair and Subsequent Career Changes in Manual Workers: A Long-term Observational Study. [PDF]

JB JS Open Access
Collin P, Tedah D, Stokes L, Denard PJ, Delarue A, Daniel C, Lädermann A.   +6 more
europepmc   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source