University of Petroleum and Energy Studies

Interpretable prediction of polymer material viscosity using machine learning models incorporating shear rate, salinity, concentration, and temperature effects

Abstract Viscosity is a fundamental property of polymer materials and solutions that strongly influences their flow behavior, processing, and performance in various industrial and engineering applications. Polymer materials and polymer solutions are vital components in many indus...

A systematic synthesis of individual and strategic drivers of organizational citizenship behavior for the environment

As the need for sustainability is evolving, organizations want to embrace sustainable behavior within their organization to improve their sustainable performance. The objective of this research is to synthesize the current body of knowledge pertaining to Organizational Citizenshi...

Green Extraction of Lignin From Date Palm ( Phoenix dactylifera L.) Seed Waste and Its Integration Into Alginate‐Based Films With Improved Moisture Resistance, Antioxidant Capacity, and Surface Hydrophobicity for Food Packaging Applications

ABSTRACT The aim of the current study was to extract lignin‐rich fraction from date palm ( Phoenix dactylifera L.) seeds and evaluate its application as a filler in sodium alginate‐based films for food packaging applications. Lignin was isolated through a sonication‐assisted mild...

Transition-metal-based catalysts for persulfate activation toward per- and polyfluoroalkyl substance degradation: mechanisms, performance, and perspectives

Per- and polyfluoroalkyl substances (PFAS) are extensively used as synthetic organic chemicals in various industrial productions that pose several harmful effects on human health and environment. In recent years, considerable research has focused on developing more efficient tech...

Twin perturbation parameter based flexible power point tracking technique for grid-connected PV systems

Abstract Photovoltaic (PV) systems are fundamentally designed in two main configurations: standalone and grid-tied architectures. Although Maximum Power Point Tracking (MPPT) is commonly implemented to optimize energy extraction from photovoltaic systems, it may jeopardize grid s...

Hydrogeochemical controls on drinking and irrigation water suitability of spring water in the Champawat District, Uttarakhand: insights from multivariate statistical analysis

ABSTRACT In the Himalayan region of Uttarakhand, natural springs constitute the primary freshwater source for a large rural population. To investigate the spring water quality of the Lohawati catchment, 27 spring water samples (n = 27) were collected and analyzed to identify the...

Corporate Rescue or Corporate Exit? Re-examining Insolvency Law Through the Lens of Economic Cycles

Insolvency law is usually analysed as a set of rules for resolving individual corporate failure. This paper asks whether it should also be understood as an institution whose performance varies with the phase of the economic cycle, and whether it can support recovery rather than m...

Probiotics as Functional Dietary Interventions for Gut Health, Immune Modulation, and Overall Well-Being: A Systematic Review

Background: The pediatric gut microbiome influences immune maturation, neurodevelopment, and disease susceptibility. Probiotic supplementation has been investigated across multiple childhood conditions, yet strain-specific efficacy remains inconsistent. Objective: The objective o...

Biomaterial-Based Magnetic Nanobiochar for Remediation of Trichloroethylene: Environmental Fate, Toxicity, Mechanistic Insights, and Technological Advancements

Trichloroethylene (TCE) is a carcinogenic, persistent groundwater contaminant against which conventional remediation techniques like pump-and-treat, soil vapor extraction, and chemical oxidation falter badly especially at dense non-aqueous-phase-liquid (DNAPL) source zones. Magne...

A Pilot Reproducibility and Robustness Assessment of a TCGA Gene-Expression Cancer Classifier

Preprint — not yet peer reviewed. This pilot computational study evaluates a TCGA gene-expression cancer classifier across six cancer types: BRCA, COAD, READ, LUAD, LUSC, and OV. The analysis focuses on patient-grouped cross-validation, training-only preprocessing, class-specific...

A Pilot Reproducibility and Robustness Assessment of a TCGA Gene-Expression Cancer Classifier

Preprint — not yet peer reviewed. This pilot computational study evaluates a TCGA gene-expression cancer classifier across six cancer types: BRCA, COAD, READ, LUAD, LUSC, and OV. The analysis focuses on patient-grouped cross-validation, training-only preprocessing, class-specific...

Moringa fruit shell derived carbon-hydrogel functional composite for sustainable pharmaceutical remediation and triboelectric energy harvesting

The development of sustainable, multifunctional materials that simultaneously address environmental remediation and energy generation remains a critical challenge. We developed a biodegradable, cost-effective hydrogel composite, namely Moringa fruit shell-derived activated carbon...

Impact of He+ ion irradiation on the domain wall dynamics in Pd/Co/Pd trilayers with perpendicular magnetic anisotropy

Heavy metal/ferromagnetic-based heterostructures with perpendicular magnetic anisotropy (PMA) are prototypes for domain wall (DW)-based spintronic devices. We explored the impact of He + ion irradiation on the bubble DW dynamics in Pd/Co/Pd trilayers with PMA. The effective magne...

Modeling of wetting-state evolution in polypropylene-stearic acid functionalized nanostructured superhydrophobic coatings

Superhydrophobic coatings often lose their water-repellent properties after repeated abrasion and environmental exposure, creating a need for reliable methods to predict coating durability. This study developed a machine learning-based framework to predict the water contact angle...

Experimentally validated ANN-based sustainable fault diagnosis framework for solar PV systems

Faults in solar photovoltaic (PV) arrays significantly degrade energy yield, reliability, and operational safety, particularly on the DC side where continuous energization increases fault severity. This paper presents an integrated Artificial Neural Network (ANN)-based framework...

Feasibility of Generatively Designed Patient-Specific Implants for Orthognathic Surgery: An In Silico Comparative Study

ABSTRACT Introduction and Aims To investigate whether generatively designed (GD) patient-specific implants are equivalent to manually designed (MD) PSIs for orthognathic surgery in the in silico setting. Methods Twelve pairs of GD and MD fixation plates for Le Fort I osteotomy an...

Does low dose radiation induced adaptive response influence initial DNA-DSB formation? Evidence from γH2AX foci analysis in human lymphocytes

Abstract Purpose Low-dose radiation-induced adaptive response (LDRIAR) is well documented, but its role in early DNA damage signalling remains unclear. This study aimed to investigate whether adaptive response influences initial DNA double-strand break (DSB) recognition, as refle...

How Is AI Transforming the Task Characteristics and the Experience of Vulnerable and Minority Employees in the Hospitality Sector?

ABSTRACT Drawing on Task–Technology Fit (TTF) theory, this study examines how different levels of Artificial Intelligence (AI) reshape service tasks and employee experiences among vulnerable and minority employees in the hospitality industry. A three‐phase mixed‐method design was...

Optical signatures and functional insights of E-C-C-Ce bio-nanocomposite

In the present study, a novel and flexible eco-friendly E-C-C-Ce (ethyl cellulose-chitosan-carbon black-CeO 2 ) bio-nanocomposite film has been developed via a simple solution-casting route. The work focuses on understanding the influence of CB/CeO 2 nanofillers on the optical, d...

Does experience of emotional invalidation in childhood lead to growth – a qualitative enquiry using Interpretative phenomenological analysis

Abstract Background Severe abuse is not the only variant of unpleasant experiences in childhood. Childhood maltreatment in the form of emotional invalidation is potent in shaping future behaviors, both adaptive and maladaptive. Traumatic experiences in childhood are such occurren...