Abstract Outsourcing pest and disease control (PDC) has grown rapidly worldwide, especially in developing countries. Although numerous studies have investigated various advantages of outsourcing PDC, little is known about its impact on pesticide expenditure.
Pengcheng Wang +2 more
wiley +1 more source
Editorial for Special Issue "Genomics Approaches in Microbial Ecology". [PDF]
Ramírez-Saad HC +1 more
europepmc +1 more source
Pandemic-Associated Shifts in Microbial Ecology and Antimicrobial Resistance in a High-Volume Liver Transplant ICU: A 10-Year Surveillance Study [PDF]
Adem Kose +9 more
openalex +1 more source
Microbiota diversity and hygienic behavior in a honey bee breeding population: Insights into Varroa resistance. [PDF]
De Iorio MG, Tiezzi F, Minozzi G.
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Effects of Age, Sex, and Social Network on Antibiotic Resistance Genes in the Gut Microbiome of Tibetan Macaques (<i>Macaca thibetana</i>). [PDF]
Ling Y +6 more
europepmc +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Prevalence and patterns of antimicrobial resistance among wildlife populations in Africa: a systematic review. [PDF]
Mwangi JW +5 more
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Genetic analysis of drought and heat tolerance combined with Striga hermonthica resistance in tropical maize (Zea mays). [PDF]
Elmyhun M +5 more
europepmc +1 more source

