Shoolini University

Shame and Release Scale (SRS): A PRISMA Systematic Literature Review and Multi-Domain Psychometric Instrument Development Rationale for Indian Organisational Contexts

Background Shame is a universal emotion with profound implications for mental health, workplace functioning, and social cohesion, yet its measurement remains critically underdeveloped in South Asian organizational contexts. Despite the global burden of unmeasured shame in organiz...

Joint Psychometric Validation of the Shame and Release Scale (SRS) and the Fundamental Peace Scale (FP20) in Indian Organisational Contexts: A Pre-Registered Validation Protocol

Background The Shame and Release Scale (SRS) and the Fundamental Peace Scale (FP20) address a critical measurement gap in South Asian organisational contexts: the absence of validated instruments that simultaneously assess shame burden and fundamental wellbeing. The SRS is a 40-i...

Mapping Global Pain and Trauma: A Seven-Domain Framework and the Fundamental Peace Index for the Journey from Shadow to Fundamental Peace

Background More than one billion people live with a mental health condition, roughly seven in ten adults experience at least one traumatic event in their lifetime, and about one in five people living in conflict-affected settings has a current mental disorder. Yet these figures d...

Exploring Dual-Defect-Mediated Mo–FeS2/Bi@BiOBr Heterojunction for Photocatalytic-Assisted Fenton Degradation of Cefixime Antibiotic

Abstract The photocatalytic-assisted Fenton mechanism has garnered considerable significance in cefixime (CFX) remediation. However, the fabrication of a photocatalyst with superior performance persists as a formidable challenge. Herein, a synergistic dual-modulation involving Mo...

One Stone for Three Birds: Synergistic Preparation of Nitrogen-Enriched Biochar, High-Quality Bio-Oil, and Syngas via Pyrolysis of Waste Chinese Medicine Residues

Abstract This study addresses the resource waste and environmental pollution resulting from the conventional disposal of waste Chinese medicine residues (WCMRs) and examines the feasibility of high-value resource recovery using pyrolysis technology. Products obtained through oxyg...

Extracellular Vesicles as Molecular Regulators of Viral Infection: Implications for COVID-19 and Future Viral Pandemics

Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), exposed critical gaps in global preparedness for rapidly evolving viral pandemics. Though current antiviral treatments have shown some efficacy in managing COVID-19, subst...

Combustion-assisted synthesis of molybdenum trioxide (α-MoO3) and their photocatalytic activity

This study focuses on the preparation of orthorhombic α-MoO 3 microplate using peroxide-assisted thermal decomposition method for photodegradation application. The structural and surface characterization were done using X-Ray Diffraction (XRD) and X-Ray Photoelectron Spectroscopy...

Recent Advances in Microalgae‐Based Functional Coatings and Films for Food Packaging Applications: Opportunities and Challenges

ABSTRACT The increased popularity of sustainable food packaging and its technologies has led to considerable interest in microalgae‐derived functional films and coatings as potential replacements for traditional plastics based on petroleum. The literature in recent years has been...

Tumor-derived RPS19 engages C5AR1+ inflammatory macrophages to drive astrocyte reprogramming and glioblastoma progression

Glioblastoma (GBM) is an incurable brain tumor with poor survival outcomes. Its progression and recurrence are strongly influenced by infiltrative growth of tumor cells and tumor microenvironment (TME) components, particularly tumor-associated macrophages (TAMs). To identify pote...

Machine learning-based fusion and downscaling of multi-sensor satellite data for urban heat island analysis in Damascus, Syria

Effective climate and environment monitoring requires high-resolution land surface temperature (LST) data, while satellite-derived LST data have coarse spatial and temporal resolutions that pose major challenges to detailed analysis. This study attempts to overcome this gap by in...