Results 201 to 210 of about 28,836,462 (296)

Single-cell directional sensing at ultra-low chemoattractant concentrations from extreme first-passage events. [PDF]

J Math Biol
Fiorino V, Lawley SD, Lindsay AE.
europepmc   +1 more source

Mitigating Creep Anisotropy and Enhancing Performance in Additively Manufactured Ni‐Based Superalloys: A Review

Advanced Engineering Materials, EarlyView.
Additive manufacturing introduces pronounced microstructural and crystallographic anisotropy in Ni‐based superalloys, resulting in orientation‐dependent creep deformation and damage. This review identifies the key microstructural origins of creep anisotropy, examines their influence on dominant deformation mechanisms, and highlights processing ...
Chandan Kumar, Shobhit Pratap Singh, Gaurav Mohanty, Praveen Kumar   +3 more
wiley   +1 more source

Explainable Machine Learning for Predicting Global Malaria Incidence From 2000 to 2022 With Climatic and Extreme Weather Conditions Across 78 Endemic Countries: A Retrospective Ecological Study. [PDF]

Health Sci Rep
Shiddik MAB, Sohan MAAF.
europepmc   +1 more source

Microstructural, Mechanical, and Textural Evolution of Dissimilar Combination of Laser‐Welded Maraging Steel and 4340 Steel

Advanced Engineering Materials, EarlyView.
The present work reports the microstructural, mechanical, and texture evolution of a dissimilar combination laser‐welded maraging steel with 4340 steel. This is important for aerospace applications. The demand for dissimilar welding is growing rapidly with the requirement of efficient and durable joints.
Bharat Behl, Yu Dong, Alokesh Pramanik, Tapas Kumar Bandyopadhyay   +3 more
wiley   +1 more source

An interpretable machine learning model integrating mucosal and cellular immunity to predict SARS-CoV-2 reinfection: a multicenter cohort study. [PDF]

Emerg Microbes Infect
Ran J, Zhang W, Zhang W, Huang H, Gong L, Yin S, Chen Y, Wang A, Min H, Zhu L, Chu J, Qin Y, Huang R, Wu C, Chen Y.   +14 more
europepmc   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Data-driven risk assessment framework for railway operation accidents based on an improved Bayesian network. [PDF]

PLoS One
Yang R, Li X, Liu G.
europepmc   +1 more source

Influence of Fe Particle Size Distribution on Chemical Homogeneity, Microstructure, and Crack Formation in Fe–SiC Powder Blends Processed by PBF‐LB/M

Advanced Engineering Materials, EarlyView.
The influence of Fe particle size on in situ alloying of Fe–SiC powder blends in PBF‐LB/M is revealed. Contrary to expectations, the coarser Fe fraction provides a broader crack‐free processing window and slightly improved elemental homogeneity while producing higher but more variable hardness. The results highlight a complex trade‐off between particle
Anna Luise Strauch, Anastasiya Toenjes, Matthias Steinbacher   +2 more
wiley   +1 more source

Accounting for response styles in rating data using IRT and IRTree models: A tutorial in R with applications to self-reported metacognitive competence. [PDF]

Behav Res Methods
Meiser T, Ulitzsch E, Henninger M.
europepmc   +1 more source

Edible Cuttlefish Ink: Complex Chemistry, Structure, and Electrical Response

Advanced Engineering Materials, EarlyView.
An integrated approach of chemistry‐structure‐electrical properties is used to assess the potential of edible cuttlefish ink as a bio‐based conductive ink for printable electronics. Chromatography and Neutron Activation Analysis reveal a fascinating molecular and elemental diversity.
Camille Bour‐Cardinal, Darren Hall, Teresa Cecchi, Sara Offidani, Philippe Plamondon, Clara Santato   +5 more
wiley   +1 more source