Corrigendum to "Quantitative microbial risk assessment of <i>Legionella pneumophila</i> in a drinking water distribution system: A case study" [New Microb New Infect 65 (2025) 101584]. [PDF]
Ranjdoost SM, Owrang M.
europepmc +1 more source
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
Transmission of Viruses from Restroom Use: A Quantitative Microbial Risk Assessment. [PDF]
Abney SE +6 more
europepmc +1 more source
ABSTRACT Aging represents a critical risk factor for chronic diseases, driving an urgent demand for interventions promoting healthy longevity. This study establishes standardized guidelines for high‐throughput screening (HTS) of anti‐aging natural products using Drosophila melanogaster, leveraging its intestinal homeostasis as a biomarker.
Xiao Sheng, Lei Zhang
wiley +1 more source
Training in quantitative microbial risk assessment of <i>Listeria monocytogenes</i> in processing chains: Quantification of biofilm-cells transfer integrating virulence and persistence factors. [PDF]
Tomasello F +2 more
europepmc +1 more source
India–United States Agricultural Trade Under the America‐First Agenda
ABSTRACT This article examines India–United States agricultural trade under the America‐First agenda, highlighting trade patterns, tariff structures, and potential impacts of United States trade policies. Total agricultural trade remains modest at $7 billion annually, with India imposing higher tariffs (average 39%) than the United States (5%).
Badri N. Gopalakrishnan +2 more
wiley +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
Quantitative Microbial Risk Assessment Framework Incorporating Water Ages with Legionella pneumophila Growth Rates. [PDF]
Clements E +5 more
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Development and evaluation of an intensive short course: the Quantitative Microbial Risk Assessment Interdisciplinary Instructional Institute (QMRA III). [PDF]
Mitchell J +4 more
europepmc +1 more source

