Results 71 to 80 of about 17,913 (261)
We read with interest the recent article suggesting a new approach to reduce lameness in sheep, by advocating the use of antibiotics over foot trimming for lame sheep ( VR , June 10, 2017, vol 180, p 555). We do not have evidence …
Simon Clegg +6 more
openaire +4 more sources
MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats
The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen +13 more
wiley +1 more source
BackgroundLameness in dairy cattle has continued to be a significant burden for farmers in modern dairy production due to its impact on animal welfare and productivity.
Hasen Ahimed Mekonin +6 more
doaj +1 more source
Lameness detection and scoring
Enting concluded lameness, from an economic perspective, as the third most costly health disease, following mastitis and reproductive failure issues, in cattle units. Archer estimated the incidence rate of lameness in the United Kingdom cattle herds roughly 50 cases/100 cows in a year; nevertheless, due to poor correlation between incidence rates and ...
Danesh Mesgaran, Sadjad +6 more
openaire +4 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Insights into Lameness in Dairy Cattle: The Role of Body Condition Score and Lactation Dynamics
Lameness is a significant welfare and economic issue in dairy farms, resulting in reduced milk yield, increased treatment costs, and higher culling rates.
Yalçın Alper Özturan, İbrahim Akın
doaj +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan +8 more
wiley +1 more source

