Anxiety & Stress

A Continuously Updated, Computationally Efficient Stress Recognition Framework Using Electroencephalogram (EEG) by Applying Online Multitask Learning Algorithms (OMTL).

Recognizing the factors that cause stress is a crucial step toward early detection of stressors. In ...

Morphometric Evaluation of the Seminiferous Tubules and the Antioxidant Protective Effects of Gallic Acid and Quercetin in the Testis and Liver of Butyl Phthalate Treated Rats.

The antioxidant protective effects of gallic acid (GAL) and quercetin (QUE) against oxidative stress...

Resilience of and recovery strategies for weighted networks.

The robustness and resilience of complex networks have been widely studied and discussed in both res...

The Elephant in the Room: Outbreak of Carfentanil Deaths in Minnesota and the Importance of Multiagency Collaboration.

Over a three-month period in early 2017, the Hennepin County Medical Examiner's Office investigated ...

Prevalence of and factors related to anxiety and depression symptoms among married patients with gynecological malignancies in China.

OBJECTIVE: This study aims to investigate the prevalence of anxiety and depression among married pat...

Study on degradation kinetics of epalrestat in aqueous solutions and characterization of its major degradation products under stress degradation conditions by UHPLC-PDA-MS/MS.

Drug stability is closely related to drug safety and needs to be considered in the process of drug p...

Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress.

BACKGROUND: Myocardial ischemia has a complex and time-varying electrocardiographic signature that i...

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.

Deep learning (DL), a subset of machine learning approaches, has emerged as a versatile tool to assi...

Fungicide tolerant Bradyrhizobium japonicum mitigate toxicity and enhance greengram production under hexaconazole stress.

Bacterial strain RV9 recovered from greengram nodules tolerated 2400μg/mL of hexaconazole and was id...

Automatic extraction of gene-disease associations from literature using joint ensemble learning.

A wealth of knowledge concerning relations between genes and its associated diseases is present in b...

Determination of Optimal Heart Rate Variability Features Based on SVM-Recursive Feature Elimination for Cumulative Stress Monitoring Using ECG Sensor.

Routine stress monitoring in daily life can predict potentially serious health impacts. Effective st...

Artificial intelligence: a new clinical support tool for stress echocardiography.

Drug Repositioning for Schizophrenia and Depression/Anxiety Disorders: A Machine Learning Approach Leveraging Expression Data.

Development of new medications is a lengthy and costly process, and drug repositioning might help to...

Assessment of Functional Phosphatidylinositol 3-Kinase Pathway Activity in Cancer Tissue Using Forkhead Box-O Target Gene Expression in a Knowledge-Based Computational Model.

The phosphatidylinositol 3-kinase (PI3K) pathway is commonly activated in cancer. Tumors are potenti...

Dynamic Covalent Chemistry at Interfaces: Development of Tougher, Healable Composites through Stress Relaxation at the Resin-Silica Nanoparticles Interface.

The interfacial region in composites that incorporate filler materials of dramatically different mod...

Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools.

BACKGROUND: Reporting standards promote clarity and consistency of stress myocardial perfusion imagi...

Plasma Neuropeptide-S Levels in Populations Diagnosed with Generalized Anxiety Disorder: A Controlled Study.

INTRODUCTION: Neuropeptide S (NPS) is a novel neuropeptide reported to be involved in fear-and stres...

Overproduction of efflux pumps caused reduced susceptibility to carbapenem under consecutive imipenem-selected stress in .

PURPOSE: is an important pathogen in the nosocomial infections worldwide. Combining with carbapenem...

Determining Anxiety in Obsessive Compulsive Disorder through Behavioural Clustering and Variations in Repetition Intensity.

BACKGROUND AND OBJECTIVES: Over the last decade, the application of computer vision techniques to th...

Predicting heat stress index in Sasso hens using automatic linear modeling and artificial neural network.

There is an increasing use of robust analytical algorithms in the prediction of heat stress. The pre...

Deep ECGNet: An Optimal Deep Learning Framework for Monitoring Mental Stress Using Ultra Short-Term ECG Signals.

BACKGROUND: Stress recognition using electrocardiogram (ECG) signals requires the intractable long-t...