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Relationship between dietary fiber physicochemical properties and feedstuff fermentation characteristics and their effects on nutrient utilization, energy metabolism, and gut microbiota in growing pigs.
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Key Laboratory of Animal Production, Product Quality and Security, Ministry of Education, Jilin Provincial Key Laboratory of Animal Nutrition and Feed Science, Jilin Provincial Science and Technology Innovation Center of Pig industry Technology, College of Animal Science and Technology, Jilin Agricultural University, Changchun, China.
Background: There is a growing focus on using various plant-derived agricultural by-products to increase the benefits of pig farming, but these feedstuffs are fibrous in nature. This study investigated the relationship between dietary fiber physicochemical properties and feedstuff fermentation characteristics and their effects on nutrient utilization, energy metabolism, and gut microbiota in growing pigs.
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Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Predicting cyclins based on key features and machine learning methods.
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School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China. Electronic address:
Cyclins are a group of proteins that regulate the cell cycle process by modulating various stages of cell division to ensure correct cell proliferation, differentiation, and apoptosis. Research on cyclins is crucial for understanding the biological functions and pathological states of cells. However, current research on cyclin identification based on machine learning only focuses on accuracy ignoring the interpretability of features.
View Article and Find Full Text PDFNon-Destructive Monitoring of External Quality of Date Palm Fruit ( L.) During Frozen Storage Using Digital Camera and Flatbed Scanner.
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Fruit and Vegetable Storage and Processing Department, The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96-100 Skierniewice, Poland.
The emergence of new technologies focusing on "computer vision" has contributed significantly to the assessment of fruit quality. In this study, an innovative approach based on image analysis was used to assess the external quality of fresh and frozen 'Mejhoul' and 'Boufeggous' date palm cultivars stored for 6 months at -10 °C and -18 °C. Their quality was evaluated, in a non-destructive manner, based on texture features extracted from images acquired using a digital camera and flatbed scanner.
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Department of Internal Medicine 3-Rheumatology and Immunology, Universitätsklinikum Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 90154 Erlangen, Germany.
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