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Antin-diabetic cognitive dysfunction effects and underpinning mechanisms of phytogenic bioactive peptides: a review.
Front Nutr
January 2025
College of Food Science and Technology, Yunan Agricultural University, Kunming, China.
Diabetic cognitive dysfunction is one of the important comorbidities and complications of diabetes, which is mainly manifested by loss of learning ability and memory, behavioural disorders, and may even develop into dementia. While traditional anti-diabetic medications are effective in improving cognition and memory, long-term use of these medications can be accompanied by undesirable side effects. Therefore, there is an urgent need to find safe and effective alternative therapies.
View Article and Find Full Text PDFFrom contamination to detection: The growing threat of heavy metals.
Heliyon
January 2025
Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, P.O. Box 74, New Cairo, 11835, Egypt.
Heavy metals like lead, mercury, cadmium, and arsenic are environmental pollutants that accumulate in ecosystems and pose significant health risks to humans and wildlife, primarily through food chain contamination where plants absorb heavy metals, affecting their growth and threatening consumer health. Cognitive and cardiovascular functions are particularly affected by exposure to heavy metals even at low concentrations through the induction of oxidative stress. Various analytical techniques are used in measuring heavy metals in different environmental and biological samples.
View Article and Find Full Text PDFStay-green sorghum varieties are known for their drought resistance and ability to retain green biomass during grain filling, making them crucial for sustainable agriculture in arid regions. However, there is limited information on their stover yield (SY) and nutritional quality when both grain and forage are harvested. This study assessed five stay-green sorghum varieties at the Bako Agricultural Research Centre using a randomized complete block design with three replications in 2020, 2021, and 2022.
View Article and Find Full Text PDFLWheatNet: a lightweight convolutional neural network with mixed attention mechanism for wheat seed classification.
Front Plant Sci
January 2025
School of Computer Science and Technology, Henan Institute of Science and Technology, Xinxiang, China.
Introduction: With the advent of technologies such as deep learning in agriculture, a novel approach to classifying wheat seed varieties has emerged. However, some existing deep learning models encounter challenges, including long processing times, high computational demands, and low classification accuracy when analyzing wheat seed images, which can hinder their ability to meet real-time requirements.
Methods: To address these challenges, we propose a lightweight wheat seed classification model called LWheatNet.
Halotolerant bacterial endophyte s CBE mediates abiotic stress tolerance with minimal transcriptional modifications in .
Front Plant Sci
January 2025
Institute of Biological, Environmental and Rural Sciences (IBERS) Aberystwyth University, Aberystwyth, United Kingdom.
Nitrogen and water are the primary resources limiting agricultural production worldwide. We have demonstrated the ability of a novel halotolerant bacterial endophyte, s CBE, to induce osmotic stress tolerance in under nitrogen-deprived conditions. Additionally, we aimed to identify the molecular factors in plants that contribute to the beneficial effects induced by CBE in .
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