has been found to be the major cause of foodborne diseases and a serious public health problem in the world, with an increasing concern for the emergence and spread of antimicrobial-resistant strains. A cross-sectional study was conducted between February 2014 and December 2015 on food items of animal origin to assess the prevalence and antimicrobial resistance profiles of isolates using standard bacteriological methods. The overall prevalence rate of 5.5% was recorded from the total analyzed food items of animal origin. isolates were detected from 12% of raw meat, 8% of minced meat, 2.9% of burger samples, 18% of raw eggs, and 6% of raw milk. Furthermore, antimicrobial susceptibility test identified 47.6% resistant isolates, 28.6% intermediately sensitive isolates, and 23.8% susceptible isolates. Among isolates tested, 42.6%, 28.6%, and 14.3% were found to be relatively resistant to tetracycline, sulfamethoxazole-trimethoprim, and ampicillin, respectively, while 9.5%-19% were intermediately resistant to tetracycline, amoxicillin, ampicillin, cephalothin, and nitrofurantoin. Therefore, our findings provide the prevalence and drug resistance of from foods of animal origin and contribute information to scientists as well as public health researchers to minimize the prevalent and resistant foodborne species in Ethiopia.
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http://dx.doi.org/10.1155/2016/4290506 | DOI Listing |
J Diabetes Metab Disord
June 2025
Food and Beverages Safety Research Center, Urmia University of Medical Sciences, Urmia, Iran.
Objectives: To investigate the association between the Dietary Inflammatory Index (DII) and osteosarcopenia using nationally representative data.
Methods: We utilized data from 1,418 men and women aged ≥ 50 years old participating in Iranian Multicenter Osteoporosis Study (IMOS), a nation-wide, cross-sectional study conducted in 2021. Osteosarcopenia was defined based on standard criteria, considering the presence of both osteopenia/osteoporosis and sarcopenia.
Front Psychol
January 2025
i-FOOD Team, IIA-FoodUPV, Universitat Politècnica de València, Valencia, Spain.
Introduction: Due to the current climatic situation of the planet and the increase in concern for the environment, the Universitat Politècnica de València (UPV) aims to be a model for the university community in terms of the preservation of the ecosystem and prevention of the environmental impact caused by daily tasks; thus, aligning itself with the goals of the 2030 Agenda. For this reason, a project has been launched to carry out the green transformation of the UPV toward a university that prioritizes sustainability in all its areas.
Methods: As part of this project, a survey was conducted using anonymous online questionnaires for the student population and employees.
Ecol Appl
January 2025
Behavioral Ecology Research Group, Center for Natural Sciences, University of Pannonia, Veszprém, Hungary.
As urban areas continue to expand globally, a deeper understanding of the functioning of urban green spaces is crucial for maintaining habitats that effectively support wildlife within our cities. Cities typically harbor a wide variety of nonnative vegetation, providing limited support for insect populations. The resulting scarcity of arthropods has been increasingly linked to adverse effects at higher trophic levels, such as the reduced reproductive success of insectivorous birds in urban environments.
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January 2025
Institute of Computer Science, University of Rostock, 18051, Rostock, Germany.
Background: Interpretability is a topical question in recommender systems, especially in healthcare applications. An interpretable classifier quantifies the importance of each input feature for the predicted item-user association in a non-ambiguous fashion.
Results: We introduce the novel Joint Embedding Learning-classifier for improved Interpretability (JELI).
Environ Res
January 2025
College of Water Resources & Civil Engineering, Hunan Agricultural University, Changsha, 410128, China.
The stepped paddy fields (SPFs) are important for food security and sustainable development. The unique spatial structure and complex hydrological processes in this system make it difficult to understand the migration of pollutants. In this study, microplastic pollution was investigated in the water and soil from Ziquejie SPFs, China.
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