Results 191 to 200 of about 433,554 (313)

Evaluation of a Novel Listeria Enrichment Broth Combined with a Real-Time PCR Diagnostics Assay for the Specific Detection of Listeria Monocytogenes in RTE Pork Products [PDF]

, 2013
Anonymous, Anonymous, Anonymous, Anonymous, Anonymous, Anonymous, Anonymous, Anonymous, Anonymous, Fretz, Fretz, Gilmour, Gottlieb, Mead, O'Grady, O'Grady, Rocourt, Rodriguez-Lazaro, Ryser, Siegman-Igra, Warriner, Watson   +21 more
core   +1 more source

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

Advanced Science, EarlyView.
Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang, Yuanyuan Zhang, Choulin Chen, Xiaoxian Xu, Shenghua Qin, Junyan Qi, Yongzhou Bao, Huiming Li, Ruipu Chen, Weigang Zheng, Zhilong Chen, Lingzhao Fang, Yunxiang Zhao, Yuwen Liu   +13 more
wiley   +1 more source

Exploring patterns of distributional justice in global climate change mitigation scenarios. [PDF]

NPJ Clim Action
Scheifinger K, Brutschin E, Mintz-Woo K, Zimm C, Kikstra JS, Rogelj J, Żebrowski P, Schinko T, Pachauri S, Sovacool BK, Fritz L, Riahi K.   +11 more
europepmc   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

Advanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai, Xi‐Wen Hu, Yuyang Li, Zheng Lin, Yongjie Li, Yong‐Chun Cai, Tao Xu, Ke Jia, Jin‐Fang Han, Zhong‐Lin Tan, Dezhong Yao, Xue Mei Song, Sugai Liang, Georg Northoff   +13 more
wiley   +1 more source

Finishing Performance, Meat Quality, and Economic Efficiency of Retired Thoroughbred Versus Belgian-Cross Geldings Under an Identical Total Mixed Ration: A Pilot Study. [PDF]

Vet Sci
Park C, Jeong C, Son M, Yi J.
europepmc   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

Advanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang, Yiming Xia, Ali Shakiba, Hongrui Zhang, Xiaojing Hao, Priyank V. Kumar, Mahesh P. Suryawanshi   +6 more
wiley   +1 more source

Meat protein alternatives: exotic species

Animal Frontiers, 2023
openaire   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Illegal urban wild meat supply chain characterization: A case study on zoonosis in Lusaka, Zambia. [PDF]

PLoS One
Mukanganwa BA, Mukuma M, Shindano J, Moonga HB.   +3 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source