Results 251 to 260 of about 516,161 (359)

Can outsourcing pest and disease control help reduce pesticide expenditure? Evidence from rice farmers

open access: yesAgribusiness, EarlyView.
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]

open access: yesMicroorganisms
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]

open access: green
Adem Kose   +9 more
openalex   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
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]

open access: yesNPJ Antimicrob Resist
Mwangi JW   +5 more
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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