AIMC Topic: Stress, Physiological

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A machine-learning-powered spectral-dominant multimodal soft wearable system for long-term and early-stage diagnosis of plant stresses.

Science advances Jun 27, 2025
Addressing the global malnutrition crisis requires precise and timely diagnostics of plant stresses to enhance the quality and yield of nutrient-rich crops, such as tomatoes. Soft wearable sensors offer a promising approach by continuously monitoring...
Machine Learning Solanum lycopersicum Wearable Electronic Devices Stress, Physiological Plant Leaves
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Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.

Functional & integrative genomics Jun 13, 2025
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more complex in the agricultural systems. Abiotic stress greatly affects crop productivity globally; dev...
Multiomics Proteomics Metabolomics Genomics Crops, Agricultural Stress, Physiological Plant Breeding
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Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses.

Nature communications Jun 2, 2025
Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and prevention. However, existing methods are often invasive and lack sensitivity, rendering them inadequate for continuous monitoring of subtle plant str...
Plants Stress, Physiological Hydrogen Peroxide Biosensing Techniques Signal Transduction Fluorescence Spectroscopy, Near-Infrared Machine Learning
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Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.

Sensors (Basel, Switzerland) May 20, 2025
This study explores nursing students' stress responses while they are being trained in a mixed reality (MR) setting that replicates highly stressful clinical scenarios. Using measurements of physiological indices such as heart rate, electrodermal act...
Stress, Psychological Heart Rate Stress, Physiological Adult Male Students, Nursing Skin Temperature Galvanic Skin Response Humans Machine Learning Algorithms Female
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Vascular-related biological stress, DNA methylation, allostatic load and domain-specific cognition: an integrated machine learning and causal inference approach.

BMC neurology Apr 23, 2025
BACKGROUND: Vascular disease in aging populations spans a wide range of disorders including strokes, circulation disorders and hypertension. As individuals age, vascular disorders co-occur and hence exert combined effects. In the present study we int...
Middle Aged Cognition DNA Methylation Vascular Diseases Stress, Physiological Humans Allostasis Machine Learning Adult Male Aging Biomarkers Female Aged
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Deep learning based abiotic crop stress assessment for precision agriculture: A comprehensive review.

Journal of environmental management Apr 9, 2025
Abiotic stresses are a leading cause of crop loss and a severe peril to global food security. Precise and prompt identification of abiotic stresses in crops is crucial for effective mitigation strategies. In recent years, Deep learning (DL) technique...
Neural Networks, Computer Crops, Agricultural Deep Learning Stress, Physiological Agriculture
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A lightweight deep learning model for multi-plant biotic stress classification and detection for sustainable agriculture.

Scientific reports Apr 9, 2025
Plant pathogens and pests hinder general plant health, resulting in poor agricultural yields and production. These threaten global food security and cause environmental and economic shortages. Amidst the available existing heavy deep learning (DL) mo...
Plant Leaves Plant Diseases Stress, Physiological Neural Networks, Computer Deep Learning Agriculture
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Deep Neural Network-Mining of Rice Drought-Responsive TF-TAG Modules by a Combinatorial Analysis of ATAC-Seq and RNA-Seq.

Plant, cell & environment Mar 31, 2025
Drought is a critical risk factor that impacts rice growth and yields. Previous studies have focused on the regulatory roles of individual transcription factors in response to drought stress. However, there is limited understanding of multi-factor st...
Stress, Physiological Gene Expression Regulation, Plant Droughts Oryza Data Mining Plant Proteins Chromatin Immunoprecipitation Sequencing Neural Networks, Computer RNA-Seq Gene Regulatory Networks Transcription Factors
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Integrating sensor fusion with machine learning for comprehensive assessment of phenotypic traits and drought response in poplar species.

Plant biotechnology journal Mar 30, 2025
Increased drought frequency and severity in a warming climate threaten the health and stability of forest ecosystems, influencing the structure and functioning of forests while having far-reaching implications for global carbon storage and climate re...
Stress, Physiological Droughts Populus Machine Learning Phenotype
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Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationsh...
Retrospective Studies Female Hospital Mortality Risk Factors Hyperglycemia Decision Support Techniques Aged Treatment Outcome Databases, Factual Male Risk Assessment Biomarkers Middle Aged Blood Glucose Humans Stress, Physiological Time Factors Machine Learning Predictive Value of Tests Cause of Death Cardiac Surgical Procedures
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