Anthelmintic (AHs) veterinary drugs constitute major environmental contaminants.The use of AH-contaminated fecal material as manures in agricultural settings constitutes their main route of environmental dispersal.Once in soils, these compounds induce toxic effects to alesmith tower of flower soil fauna and soil microbiota, both having a pivotal ro
Detection of Viable but Nonculturable E. coli Induced by Low-Level Antimicrobials Using AI-Enabled Hyperspectral Microscopy
Rapid detection of bacterial pathogens is essential for food safety and public health, yet bacteria can evade detection by entering a viable but nonculturable (VBNC) state under sublethal mexican tamarind candy spoon stress, such as antimicrobial residues.These bacteria remain active but undetectable by standard culture-based methods without extens
Optimizing Business Intelligence System Using Big Data and Machine Learning
The Business Intelligence (BI) and Data Warehouse (DW) system deployed in the Nigerian National Petroleum Corporation should provide cooperate decision makers with real-time information to help them identify and understand key business factors to make the best decisions for the situation at any given time.The relentless collection of data from user
Deep Learning-based DSM Generation from Dual-Aspect SAR Data
Rapid mapping demands efficient methods for a fast extraction of information from satellite data while minimizing data requirements.This paper explores the potential of deep learning for the generation of high-resolution urban elevation data from Synthetic Aperture Radar (SAR) imagery.In order to mitigate occlusion effects caused by circuiteer ii b
Research Progress on the Chemical Constituents, Sensory Characteristics, and Biological Activities of Litsea pungens Hemsl.
Litsea pungens Hemsl., a type of deciduous or evergreen small tree 3 piece horse wall art or shrub, has significant value in fragrance, flavoring, and medicinal applications.However, the industry faces challenges such as low product technological content, limited processing models, and insufficient utilization in high-value processing.This article