Results 151 to 160 of about 22,736 (245)

Seed lipid profiles of perennial ryegrass: Global patterns and differentiation of ryegrass cultivars and Epichloë endophytes

Grassland Research, EarlyView.
Seed lipid profiles from three ryegrass cultivars infected with AR501 show distinct changes in the medium‐chain diacylglycerols, triacylglycerols and sphingolipids. The differential peal LN745.5052_5.78 can be identified as PG 16:0_18:2 with the supporting ms2 fragmentation spectrum. Abstract Background Forage perennial ryegrass (Lolium perenne L.) has
Mingshu Cao, Wei Zhang, Wade J. Mace, Christine R. Voisey, David E. Hume, Richard D. Johnson, Sushma Prakash   +6 more
wiley   +1 more source

Contribution of Meat Inspection to the surveillance of poultry health and welfare in the European Union. [PDF]

Epidemiol Infect, 2015
Huneau-Salaün A, Stärk KD, Mateus A, Lupo C, Lindberg A, LE Bouquin-Leneveu S.   +5 more
europepmc   +1 more source

Neuromorphic Hardware Materials for Intelligent Artificial Perception and Multimodal Fusion: From Sensing to Cognition

Interdisciplinary Materials, EarlyView.
Neuromorphic hardware enables the integration of sensing, memory, and computing for intelligent artificial perception. Recent advances in multimodal fusion further highlight its potential for embodied intelligence and next‐generation human–machine interfaces.
Yixin Zhu, Yuqing Hu, Changjin Wan, Qing Wan   +3 more
wiley   +1 more source

Materials and Music: Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

Interdisciplinary Materials, EarlyView.
Vibrations in matter, from spider webs to molecules, water to flames, share a grammar with music. We propose that creativity emerges when constraints force expansion beyond existing possibilities. Selective imperfection restores balance, enabling invention.
Markus J. Buehler
wiley   +1 more source

How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory

International Journal of Finance &Economics, EarlyView.
ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley   +1 more source

Stakeholder perspectives on the use of pig meat inspection as a health and welfare diagnostic tool in the Republic of Ireland and Northern Ireland; a SWOT analysis. [PDF]

Ir Vet J, 2016
Devitt C, Boyle L, Teixeira DL, O'Connell NE, Hawe M, Hanlon A.   +5 more
europepmc   +1 more source

Optimizing feather hydrolysate via machine learning for microbial recycling of waste concrete fines

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The concrete industry faces significant challenges from CO2 emissions and the disposal of waste concrete fines (WCF). Microbially induced calcite precipitation (MICP) can bind WCF into bioconcrete, but the high cost of commercial culture media hinders its application.
Henrietta Ottová, Barbora Malíková, Václav Nežerka, Petr Holeček, Dana Koňáková, Hana Stiborová   +5 more
wiley   +1 more source

Identifiable regional and neural network abnormalities in early childhood anxiety

JCPP Advances, EarlyView.
Abstract Background Although the neural underpinnings of anxiety have been investigated, most research has been confined to adolescence and adulthood, with less of a focus on the early childhood period. Little is known about the role of anticipatory fear processing early childhood, which is a sensitive period for anxiety development.
Khalil I. Thompson, Yiwen Zhang, Denny Schaedig, Anna Bankston, Anoushka Parnerkar, Shrinidhi Jeyaram, Nadine Melhem, Susan B. Perlman   +7 more
wiley   +1 more source

Automated FRET Analysis for Enhanced Characterization of Protein–Protein Interactions

Microscopy Research and Technique, EarlyView.
A visual summary of the SONLab FRET Tool, displaying the entire workflow—from imaging to the plotting of quantified data. The results provided in this article were obtained using this automated pipeline. ABSTRACT Förster Resonance Energy Transfer (FRET) analysis is a powerful technique for studying protein–protein interactions; however, manual methods ...
Ahmet Zübeyir Nursoy, Orkun Cevheroğlu, Çağdaş Devrim Son   +2 more
wiley   +1 more source

Standardized MRI‐Based Quantification of Epicardial Adipose Tissue Volume: Reproducibility and Agreement With Cardiac Computed Tomography

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Epicardial adipose tissue volume (EATV) is increasingly recognized as a cardiometabolic risk marker associated with adverse outcomes. The most established approach for EATV quantification is cardiac computed tomography (CT). MRI offers a radiation‐free alternative allowing simultaneous assessment of myocardial function and tissue ...
Judith Gronwald, Svante S. Gersch, Zoé Böttiger, Clara Hagedorn, Torben Lange, Sören J. Backhaus, Sebastian Kelle, Constanze Schmidt, Karl Toischer, Andreas Schuster, Alexander Schulz   +10 more
wiley   +1 more source