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Epidemiological and molecular characteristics of extraintestinal pathogenic escherichia coli isolated from diseased cattle and sheep in Xinjiang, China from 2015 to 2019.
BMC Vet Res
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State Key Laboratory for Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, 832000, Xinjiang, China.
Escherichia coli has become a common causative agent of infections in animals, inflicting serious economic losses on livestock production and posing a threat to public health. Escherichia coli infection is common and tends to be complex in Xinjiang, a major region of cattle and sheep breeding in China. This study aims to explore the current status and molecular characteristics of Escherichia coli infection in cattle and sheep in Xinjiang, as part of the disease prevention and control strategy.
View Article and Find Full Text PDFBenefits of the Global Integration Method (Método de Integração Global - MIG) in functional priorities of parents of Brazilian children and adolescents with autism spectrum disorder.
BMC Pediatr
January 2025
Institute of Neurodevelopment, Cognition, and Inclusive Education (INCEI), Ribeirão das Neves, Belo Horizonte, MG, Brazil.
Background: Understanding the priorities of parents of children and adolescents with autism spectrum disorder (ASD) is crucial for implementing evidence-based programs. This study aims to identify the functional priorities of parents of Brazilian children and adolescents with ASD, analyze variations in priorities according to the levels of support and age groups of the participants, and categorize the goals according to the categories of the International Classification of Functioning, Disability, and Health (ICF). Additionally, this study aimed to evaluate changes in parents' performance and satisfaction with functional priorities after intervention with the Global Integration Method (Métodode Integração Global - MIG).
View Article and Find Full Text PDFAccurate malaria diagnosis with precise identification of Plasmodium species is crucial for an effective treatment. While microscopy is still the gold standard in malaria diagnosis, it relies heavily on trained personnel. Artificial intelligence (AI) advances, particularly convolutional neural networks (CNNs), have significantly improved diagnostic capabilities and accuracy by enabling the automated analysis of medical images.
View Article and Find Full Text PDFRe-architecture for requirements of academic space development in the universities: design and validitation of RASD questionnaire.
Sci Rep
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Department of Leadership and Educational management, Faculty of Psychology and Educational Sciences, Shahid Beheshti University, Tehran, Iran.
Universities are the cornerstone of social development and progress; however, it is essential to enhance the academic environment to support this mission. The objective of this research is to identify the Requirements for Academic Space Development (RASD) in universities. The present study was conducted in 2022-2023 using a mixed-method with a qualitative-quantitative sequence.
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