Results 31 to 40 of about 19,261 (212)

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

Research on the optimization strategy of matching the structure of vocational education and industrial development in Hubei under the background of big data

Applied Mathematics and Nonlinear Sciences
There is a certain gap between the current situation of matching vocational education graduates and regional industrial development letters in Hubei Province, which needs to be dealt with by the efforts of vocational education institutions, the ...
Xu Cai, Junliang Liu
semanticscholar   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

First‐Principles Modeling of Solid Solution Softening and Hardening Effects in Al–Mg–Zr–Si Aluminum Alloys

Advanced Engineering Materials, EarlyView.
The role of various alloying elements in face‐centered cubic aluminum on the barrier of a Shockley partial dislocation during its motion is presented. The study aims to understand how alloying atoms such as Mg, Si, and Zr affect the energy landscape for dislocation motion, thus influencing the solid solution hardening and softening in aluminum, which ...
Inna Plyushchay, Zhengqing Wei, Nebahat Bulut, Sibylle Gemming   +3 more
wiley   +1 more source

Imagination as a Facet of Openness/Intellect: A New Scale Differentiating Experiential Simulation and Conceptual Innovation

Creativity Research Journal, 2022
Previous research has investigated the nature of imagination as a construct related to multiple forms of higher-order cognition. Despite the emergence of various conceptualizations of imagination, few attempts have been made to explore the structure of ...
Tyler A Sassenberg, D. Condon, C. DeYoung   +2 more
semanticscholar   +1 more source

Microscale 3D Printed Pillars and Porous Polymeric Structures: Manufacturability and Micromechanics

Advanced Engineering Materials, EarlyView.
This work demonstrates how two‐photon polymerization enables the fabrication of microscale solid and porous structures from IP‐Q, IP‐S, and IP‐PDMS resins. Combining morphological and mechanical characterization, the study provides the first systematic insights into IP‐Q mechanics and reveals how processing parameters affect structure and stiffness ...
Aikaterini Isaakidou, Mahya Ganjian, Vahid Moosabeiki, Marius Alexander Leeflang, Mahdiyeh Nouri Goushki, Pouyan Esmailzadeh Boukany, Maria Wątroba, Alexander Groetsch, Jakob Schwiedrzik, Mohammad Javad Mirzaali, Iulian Apachitei, Lidy Elena Fratila‐Apachitei, Amir Abbas Zadpoor   +12 more
wiley   +1 more source

On the Investigation of a Sustainable Two Step Laser‐Based Surface Treatment for the Functionalization of Additive Manufactured Ti–6Al–4V Components

Advanced Engineering Materials, EarlyView.
This study developed a two‐step laser‐based process for sustainable surface treatment of Ti–6Al–4 V components, combining laser polishing and direct laser interference patterning with ns and ps pulses. Key findings include significant roughness reduction, hierarchical patterning with ps pulses, and improved homogeneity. A cost function is developed for
Ignacio Tabares, Marcelo Sallese, Marcos Soldera, Ugo Andral, Eddie Kavanagh, Aidan Cloonan, Flavio Soldera, Andrés Fabián Lasagni   +7 more
wiley   +1 more source