Results 161 to 170 of about 16,277 (238)

Recent Progress in Predicting Corrosion Evolution and Degradation of Aluminum Alloys by Multiscale Simulation Frameworks

Rare Metals, Volume 45, Issue 11, November 2026.
ABSTRACT As the second most widely used metallic material after steel, research on the corrosion resistance of aluminum (Al) alloys holds great significance. To overcome the inherent limitations of experimental methods in capturing long‐term multifactor corrosion behavior of Al alloys, this review summarizes recent advancements in the multiscale ...
Yue Hou, Xiaopeng Cheng, Shougang Chen, Tao Li   +3 more
wiley   +1 more source

Spatiotemporal evolution and spatial differentiation of carbon emission intensity in the Chinese transport sector. [PDF]

Sci Rep
Tang Y, Jiang H.
europepmc   +1 more source

Bayesian Methods Incorporating Baseline Covariates for Borrowing Historical Control Data in Randomized Clinical Trials: A Neutral Comparison Study

Statistics in Medicine, Volume 45, Issue 25-27, November 2026.
ABSTRACT The idea of leveraging historical control data in randomized clinical trials (RCTs) has gained a lot of attention, in particular for rare disease and pediatric indications where conducting traditional and fully powered RCTs can be challenging.
David Jesse, Diane Uschner, Markus C. Elze, Tim Friede, Francois Mercier   +4 more
wiley   +1 more source

Assessing spatio-temporal coupling between intangible cultural heritage and rural development in China (2013-2022) through coupling coordination analysis and random-forest prediction. [PDF]

Sci Rep
Du Y, Wang K, Chen L, Zhou Y.
europepmc   +1 more source

Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review

WIREs Mechanisms of Disease, Volume 18, Issue 6, November/December 2026.
Multi‐omics and microbiome‐derived datasets were converted into deterministic and probabilistic network representations for downstream classical graph analysis and graph representation learning. This framework enables link prediction, relationship discovery, and node clustering to improve interpretation of complex biological interactions.
Cedrique Shum‐Tim, Paromita Islam, Jacqueline L. Boyajian, Ahmed Abosalha, Amal Kassab, Madison Santos, Kinaan Aamir Khan, Kiri Stern, Amin Emad, Satya Prakash   +9 more
wiley   +1 more source

Coupling coordination and driving factors of new-type urbanization, ecosystem services, and sustainable human well-being. [PDF]

iScience
Song X, Gang H.
europepmc   +1 more source

Comparative Genome‐Wide Association Studies of Metabolites and Grain‐Related Traits in Common Wheat

Plant Biotechnology Journal, Volume 24, Issue 11, Page 5911-5926, November 2026.
ABSTRACT The metabolome is highly diverse and the closest layer to phenotype; therefore, it is commonly regarded as a bridge between the genome and phenome in plants. Here, we performed large‐scale metabolome analysis using liquid chromatography–tandem mass spectrometry (LC–MS/MS) and 33 grain‐related traits in a diverse panel of natural accessions and
Guoguo Lv, Yanyan Liu, Bingyang Zhang, Ranran Shen, Maosong Yu, Yongyang Wu, Wanting Du, Xinru Yuan, Congwei Sun, Yan Yan, Wei Chen, Feng Chen   +11 more
wiley   +1 more source

Entropy, Inhibition and Memory in Balanced Spiking Reservoirs. [PDF]

Entropy (Basel)
Rosati L, Toschi N, Duggento A.
europepmc   +1 more source

Revealing the Hydrothermal System of La Soufrière Volcano (Guadeloupe) Through Nodal Ambient Noise Tomography

Geophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract La Soufri'ere de Guadeloupe is an active volcano of the Lesser Antilles Volcanic Arc. Its last eruption halted in 1977, yet hydrothermal activity has increased over recent years, raising summit instability hazards. The link between hydrothermal fluids and detachment landslide surfaces is well established and exacerbated by inflation ...
Elliot Amir Jiwani‐Brown, Iván Cabrera‐Pérez, Laurie Mischler, Douglas Stumpp, Geneviève Savard, Catherine Truffert, Alberto Rosselli, Federico Fischanger, Filippo Barsuglia, Matteo Lupi   +9 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source