This study uses Heart rate variability (HRV) as a biomarker to analyze the complex link between ongoing stress and its possible physical effects. To deal with difficult situations, people naturally feel stressed but when it lasts for a long time, stress can very badly affect the mental health. Depression, nervousness, and trouble sleeping are all common illnesses that can be caused by stress. Several advanced machine learning methods are used in this study to create a multi-class stress recognition model. The proposed stress detection model has achieved high accuracy, reaching 96.87% in stress identification using the SWELL-KW dataset. Leveraging this dataset, the study explores HRV traits as potential stress biomarkers, employing advanced machine learning methods including 1D CNN, 3D CNN, LSTM, GRU, and combinations such as LSTM + GRU + RNN. The main aim of this research work is to enhance the accuracy and utility of stress detection methods by investigating HRV traits as possible stress biomarkers. A key part of knowing how human bodies react to stress is being able to tell the difference between heart rate and HRV, especially when looking at the changes in RR intervals. Finally, the results of this study could help us learn more about how to recognize stress and come up with better ways to treat mental health problems that are caused by stress.
Sweet corn originated from Mesoamerica around 10,000 years ago; sweet corn’s distinctiveness lies in its genetic mutations sugary1 (su1), shrunken2 (sh2), and sugary enhancer1 (se1) that enhance kernel sweetness by inhibiting the average sugar-to-starch conversion. This transformation from an ancient staple to a globally beloved vegetable highlights sweet corn’s adaptability, high yield potential, and nutritional benefits, including its role as a source of carbohydrates, proteins, vitamins, and minerals. Advances in biofortification and genetic research have further enriched its nutritional profile, positioning sweet corn as a nutraceutical crop capable of addressing global nutritional deficiencies. Modern breeding techniques, including marker-assisted selection and omics technologies, have significantly accelerated the development of varieties with improved traits such as disease resistance, stress tolerance, and enhanced nutritional quality. Additionally, it is important to conserve sweet corn's genetic diversity for future crop improvement and adaptation. High-throughput phenotyping and genome-editing tools such as CRISPR/Cas9 have further accelerated sweet corn breeding, offering a sustainable solution to enhance yield and quality. This exploration shows sweet corn's agricultural importance, its potential to fight nutritional challenges, and the role of scientific advancements in securing its future as a valuable and versatile crop. This detailed review explores the history, genetic diversity, nutritional value, and modern advancements in the cultivation and breeding of sweet corn.
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