Shree Guru Gobind Singh Tricentenary University

Consumers’ motivations behind sustainable clothing consumption in an emerging market: a means-end approach

Purpose This study aims to investigate the underlying motivations influencing Millennials and Generation Z to consume sustainable clothing. The objective is to uncover how these consumer groups connect product attributes to deeper personal values through the lens of the Means-End...

Optimizing motor functions in incomplete spinal cord injury with simultaneous application of transcranial direct current stimulation and virtual reality assisted treadmill training: a study protocol for a randomized controlled trial {1a}

Incomplete spinal cord injury (iSCI) leads to significant motor impairments, affecting mobility and quality of life. Emerging rehabilitation strategies, including neuromodulation and virtual reality-assisted treadmill training, have shown potential in enhancing motor recovery amo...

Awareness and Perception of Artificial Intelligence in Diagnostic Imaging: A Cross‐Speciality Survey of Indian Medical Practitioners

INTRODUCTION: Artificial Intelligence (AI) is one of the rapidly evolving areas of diagnostic imaging; however, the extent to which medical professionals are willing to apply these tools to routine care in India has not been thoroughly researched. This is a cross-sectional descri...

Formulation and Optimization of Sprouted Millet–Cow Milk Blends for Paneer Production

The study focused on developing millet-based paneer by incorporating sprouted millet milk into the process and assessing its quality through functional analysis. The experiment was designed using Design Expert software. Sprouted pearl millet and finger millet milk were combined w...

On the Rayleigh surface wave dynamics of porous piezo-thermoelectric smart material with spatio-temporal nonlocality and fractional higher-order three-phase-lag theory

This study examines Rayleigh-type surface wave propagation in a porous piezo-thermoelectric semi-infinite medium incorporating spatio–temporal nonlocality together with fractional higher-order three-phase-lag heat conduction. The governing equations are formulated within the fram...

Self-supervised knowledge distillation for few-shot single-stage 3D object detection

Conventional deep learning models for 3D object detection require a large number of annotated bounding boxes and substantial computational resources, which limit their applicability in data- and resource-constrained autonomous driving scenarios. To address this challenge, this pa...

GCMF: A Reference Implementation of General-Purpose Compression via Mathematical Functions

GCMF is a reference encoder and decoder for the General-Purpose Compression via Mathematical Functions lossless format, specified in the Internet-Draft draft-dutta-gcmf-01,which represents a numeric sequence as a compact mathematical function plus a smalldomain descriptor rather...

Advancements and challenges in lithium–oxygen battery technology: A comprehensive overview

Lithium–oxygen (Li–O₂) batteries are attractive beyond-lithium-ion systems because oxygen is stored outside the positive electrode and the Li₂O₂-forming reaction provides a theoretical specific energy of approximately 3500 Wh kg⁻¹ when oxygen is excluded from the carried mass. Th...

Recognizing and Addressing Fertility Issues among Childhood Cancer Patients and Survivors in India – A Multi Stakeholder Position Statement and Call to Action

Abstract Survival rates in childhood and adolescent cancers have improved substantially over the past decades, leading to a growing population of long-term survivors. In India, an estimated 76,000 children and adolescents are diagnosed with cancer annually, and approximately one-...

Phenotypic characteristics associated with preterm births in the Indian population

ABSTRACT Background Preterm birth (PTB), defined as the birth of infants before 37 weeks of gestation, poses significant health risks, including increased mortality and long-term disabilities. India stands as a major contributor to global PTB-related mortality, primarily due to i...

Artificial Intelligence for Early Detection of Alzheimer's Disease: Integrating Neuroimaging, Clinical Data, and Biomarker

AbstractFinding Alzheimer’s disease early is one of the biggest challenges in modern neurology.During the preclinical stage or the Mild Cognitive Impairment (MCI) phase, early detection isvery important to begin treatment as soon as possible. Traditional methods often miss subtle...

Culture, Cognition and Schooling: A Comparative Study on Cognitive Development of Tribal and Non-tribal Schooled and Unschooled Children in Karnataka, India

The present study aims to explore the interrelationship among culture, cognition and schooling for tribal and non-tribal children in the state of Karnataka, South India. The aim of the current study is to examine the role of socio-cultural and educational inequalities, especially...