Results 101 to 110 of about 5,314 (250)

Characterization of the complete mitochondrial genome data of the allotriploid grouper Epinephelus fuscoguttatus ♀× Epinephelus tukula ♂NCBI

Data in Brief
The allotriploid grouper, Epinephelus fuscoguttatus ♀ × Epinephelus tukula ♂, is an economically valuable aquaculture species owing to its fast growth rate and desirable meat quality. Despite its many favorable traits, there is still a lack of records on
Zhentong Li, Linlin Li, Yuan Deng, Jinzhi Su, Linna Wang, Yang Liu, Shuai Chen, Pengfei Duan, Xinyi Wang, Yishu Qiu, Xiaoyu Ding, Zunfang Pang, Wenhui Ma, Chuanjun Yang, Guangbin Shao, Yongsheng Tian   +15 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Probiotic properties of Bacillus licheniformis HN318 and comparison of the effects of its bacterial cells and cultures on growth, immunity and disease resistance of hybrid grouper (Epinephelus polyphekadion♂ × Epinephelus fuscoguttatus♀)

Frontiers in Marine Science
IntroductionBacillus species are probiotics commonly utilized in aquaculture to enhance aquatic animal growth, inhibit pathogens, and strengthen immunity. However, research comparing the effects of probiotic bacterial cells and cultures is limited.
Zhenjie Cao, Qiaoli Yang, Aie Kang, Guotao Wang, Pengshuo Li, Guiping Qiu, Jinge Wang, Chunsheng Liu, Yun Sun, Yun Sun, Yun Sun   +10 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Microstructure, Thermal Transport, and Dry‐Sliding Tribology of Powder‐Metallurgy Al7075 Composites Reinforced With Sol–Gel‐Derived ZnO–rGO Hybrid Nanoparticles

Advanced Engineering Materials, EarlyView.
Sol–gel‐derived ZnO–rGO hybrid nanoparticles enable Al7075 powder‐metallurgy composites to achieve concurrent gains in hardness and thermal conductivity while markedly lowering friction and wear. The hybrid architecture couples ZnO‐based load support with rGO‐assisted lamellar sliding and heat spreading, revealing a promising route toward lightweight ...
Bunyamin Aksakal, Cevher Kursat Macit, Merve Ayık, Hakan Tutumlu   +3 more
wiley   +1 more source

Preparation and Application of Monoclonal Antibodies Targeting IgM in Pearl Gentian Grouper (Epinephelus fuscoguttatus ♀ × E. lanceolatus ♂)

Fishes
Viral and bacterial pathogen pathogens cause disease outbreaks that challenge the pearl gentian grouper (Epinephelus fuscoguttatus ♀ × E. lanceolatus ♂) industry’s sustainable development.
Xiaorui Qian, Jiong Wu, Jiamin Qiu, Yixin Li, Jialin Zhang, Xiaoli Xu, Yinan Wang, Qiang Li   +7 more
doaj   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source