Varun Dutt
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View article: Neurofeedback Training for Cognitive Optimization: Effects on Performance and Workload in a Simulation Task
Neurofeedback Training for Cognitive Optimization: Effects on Performance and Workload in a Simulation Task Open
Neurofeedback (NF) training allows individuals to learn to control brain activity with the aid of real-time electroencephalography (EEG) feedback, with possible applications in attention and cognitive control. Although its influences have …
View article: Does yoga change the psycho-physiological states among first year college students? A novel investigation via yoga for stress management protocol
Does yoga change the psycho-physiological states among first year college students? A novel investigation via yoga for stress management protocol Open
Yoga is a promising treatment for mental health, but its impact on first-year college students’ academic stress is not well understood. The present study presented a Yoga for Stress Management (YSM) protocol to examine its effects on psych…
View article: A Sequential Ensemble Machine Learning Approach for Predicting Personality Traits Using Multidimensional Cognitive Metrics
A Sequential Ensemble Machine Learning Approach for Predicting Personality Traits Using Multidimensional Cognitive Metrics Open
View article: Bacterial and parasitic contamination in blood cockles (Anadara antiquata Linnaeus, 1758), and effect of depuration on bacterial load using simple bio-filter in closed circulatory system
Bacterial and parasitic contamination in blood cockles (Anadara antiquata Linnaeus, 1758), and effect of depuration on bacterial load using simple bio-filter in closed circulatory system Open
Blood cockle (Anadara antiquata Linnaeus, 1758) serves as a vital food and protein source for many coastal communities in Fiji. However, no studies have been conducted on bacterial and parasitic contamination in blood cockles in Fiji, leav…
View article: Raga Bhairavi in virtual reality reduces stress-related psychophysiological markers
Raga Bhairavi in virtual reality reduces stress-related psychophysiological markers Open
View article: Climate decision making: influence of prevailing social norms and probability of climate change
Climate decision making: influence of prevailing social norms and probability of climate change Open
Introduction The global rise in climatic calamities necessitates effective strategies for understanding and addressing Earth’s climate complexities. Although recent research underscores simulation tools’ effectiveness in elucidating comple…
View article: Predicting Stress among Students via Psychometric Assessments and Machine Learning
Predicting Stress among Students via Psychometric Assessments and Machine Learning Open
Yoga is recommended as a method for managing stress among students. Despite its widespread acceptance, however, there exists a gap in research concerning the prediction of changes in psychological stress among students practicing yoga. The…
View article: Exploring the Effects of Yoga on Self-Esteem and Emotional Well-Being in Stressed College Students: A Randomized Controlled Trial
Exploring the Effects of Yoga on Self-Esteem and Emotional Well-Being in Stressed College Students: A Randomized Controlled Trial Open
The increasing prevalence of mental health issues highlights the need for effective, accessible interventions to promote psychological well-being. Despite the known benefits of physical activity on mental health, the specific impact of yog…
View article: SugarControl: An Integrative Mobile App for Type 2 Diabetes Management through Yoga Meditation and Lifestyle Interventions
SugarControl: An Integrative Mobile App for Type 2 Diabetes Management through Yoga Meditation and Lifestyle Interventions Open
Type 2 diabetes mellitus (T2DM) presents a multifaceted challenge, often exacerbated by sedentary lifestyles, poor dietary choices, and heightened stress levels. Addressing these complexities, SugarControl offers a comprehensive solution b…
View article: Analyzing single-action bias in dynamic climate change environments: insights from feedback and probability
Analyzing single-action bias in dynamic climate change environments: insights from feedback and probability Open
“Single action bias” (SAB) characterizes individuals’ inclination to undertake only one preventive measure against climate change, disregarding potentially more effective alternatives. This bias poses a significant obstacle to comprehensiv…
View article: Addressing class imbalance in soil movement predictions
Addressing class imbalance in soil movement predictions Open
Landslides threaten human life and infrastructure, resulting in fatalities and economic losses. Monitoring stations provide valuable data for predicting soil movement, which is crucial in mitigating this threat. Accurately predicting soil …
View article: Can machine learning models predict soil moisture evaporation rates? An investigation via novel feature selection techniques and model comparisons
Can machine learning models predict soil moisture evaporation rates? An investigation via novel feature selection techniques and model comparisons Open
Extreme weather events and global climate change have exacerbated the problem of evaporation rates. Thus, accurately predicting soil moisture evaporation rates affecting soil cracking becomes crucial. However, less is known about how novel…
View article: A comprehensive evaluation of linear and non-linear HRV parameters between paced breathing and stressful mental state
A comprehensive evaluation of linear and non-linear HRV parameters between paced breathing and stressful mental state Open
View article: Evaluating the efficacy of haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation
Evaluating the efficacy of haptic feedback, 360° treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation Open
Virtual Reality (VR) has made significant strides, offering users a multitude of ways to interact with virtual environments. Each sensory modality in VR provides distinct inputs and interactions, enhancing the user's immersion and presence…
View article: Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods Open
Predicting and understanding the changes in cognitive performance, especially after a longitudinal intervention, is a fundamental goal in neuroscience. Longitudinal brain stimulation-based interventions like transcranial direct current sti…
View article: Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods
Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods Open
Executive functioning is a cognitive process that enables humans to plan, organize, and regulate their behavior in a goal-directed manner. Understanding and classifying the changes in executive functioning after longitudinal interventions …
View article: Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods
Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods Open
Attention is the brain's mechanism for selectively processing specific stimuli while filtering out irrelevant information. Characterizing changes in attention following long-term interventions (such as transcranial direct current stimulati…
View article: Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles Open
Among young adults, suicide is India's leading cause of death, accounting for an alarming national suicide rate of around 16%. In recent years, machine learning algorithms have emerged to predict suicidal behavior using various behavioral …
View article: GlucoBreath: An IoT, ML, and Breath-Based Non-Invasive Glucose Meter
GlucoBreath: An IoT, ML, and Breath-Based Non-Invasive Glucose Meter Open
Diabetes is a metabolic disorder often diagnosed late and requires continuous monitoring of blood glucose. We introduce GlucoBreath, a user-centric, cost-effective, and portable pre-diagnostic solution to address this global challenge. Glu…
View article: GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath
GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath Open
Diabetes is a metabolic disorder often diagnosed late and needs continuous blood glucose monitoring. We introduce GlucoBreath, a user-centric, cost-effective, and portable pre-diagnostic solution to address this global challenge. GlucoBrea…
View article: GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath
GlucoBreath: Non-Invasive Glucometer to Detect Diabetes using Breath Open
Diabetes is a metabolic disorder often diagnosed late and needs continuous blood glucose monitoring. We introduce GlucoBreath, a user-centric, cost-effective, and portable pre-diagnostic solution to address this global challenge. GlucoBrea…
View article: BreathProfiles Dataset
BreathProfiles Dataset Open
Sensors data by processing the breath samples, body vitals data, and demographics data collected from 492 patients of a nationally reputed hospital.
View article: BreathProfiles Dataset
BreathProfiles Dataset Open
Sensors data by processing the breath samples, body vitals data, and demographics data collected from 492 patients of a nationally reputed hospital.
View article: DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath
DiabeticSense: A Non-Invasive, Multi-Sensor, IoT-Based Pre-Diagnostic System for Diabetes Detection Using Breath Open
Diabetes mellitus is a widespread chronic metabolic disorder that requires regular blood glucose level surveillance. Current invasive techniques, such as finger-prick tests, often result in discomfort, leading to infrequent monitoring and …
View article: Breath Profiles dataset
Breath Profiles dataset Open
Data comprising sensor voltages for breath samples collected from 492 patients. It also contains their body vitals information.
View article: Breath Profiles dataset
Breath Profiles dataset Open
Data comprising sensor voltages for breath samples collected from 492 patients. It also contains their body vitals information.
View article: DiabeticSense: A Non-Invasive Multi-Sensor IoT-based System for Diabetes Detection Using Breath
DiabeticSense: A Non-Invasive Multi-Sensor IoT-based System for Diabetes Detection Using Breath Open
Diabetes mellitus is a widespread chronic metabolic disorder demanding regular blood glucose level surveillance (BGLs). Current invasive techniques, such as finger-prick tests, often result in discomfort for patients, leading to infrequent…
View article: Himachal Diabetes Dataset
Himachal Diabetes Dataset Open
The dataset comprises the sensor voltages obtained by processing breath samples of 100 patients (62 diabetic and 38 non-diabetic) from a reputed national hospital. It also contains the body vital information of these patients. We use this …
View article: Himachal Diabetes Dataset
Himachal Diabetes Dataset Open
The dataset comprises the sensor voltages obtained by processing breath samples of 100 patients (62 diabetic and 38 non-diabetic) from a reputed national hospital. It also contains the body vital information of these patients. We use this …
View article: Addressing Class Imbalance in Soil Movement Predictions
Addressing Class Imbalance in Soil Movement Predictions Open
Landslides threaten human life and infrastructure, resulting in fatalities and economic losses. Monitoring stations provide valuable data for predicting soil movement, which is crucial in mitigating this threat. Accurately predicting soil …