Christ University

Metabolomic profiling and biomedical potential of adventitious roots derived from a 150-year-old mountain ginseng

Panax ginseng Meyer, sometimes known as Asian ginseng or Korean ginseng, is an important medicinal herb used in traditional medicine and health foods in Korea, China, and Japan. Ginsenosides, also known as saponins, are found in ginseng roots along with polysaccharides, peptides,...

Fractional two-temperature dual-phase-lag bioheat transfer under electromagnetic heating: An analytical-physics-informed neural network framework

This study develops a hybrid semi-analytical and physics-informed neural-network framework for transient thermoelastic heat transfer in biological tissue subjected to electromagnetic heating. The formulation combines a fractional two-temperature dual-phase-lag bioheat model with...

Lights, Camera, Abuse: A Scoping Review of Scholarly Perspectives on Intimate Partner Violence in Cinema

Intimate partner violence (IPV) is a pervasive global issue disproportionately affecting women. Films often portray IPV in ways that influence societal perceptions, either raising awareness or perpetuating harmful stereotypes, romanticizing abuse, and overlooking intersectional e...

Heterostructured MOF-derived Cobalt Sulfo-Boride: Capable of electrolyzing cow urine for sustainable H2 production

The investigation of efficient and durable electrocatalysts for urea-assisted H 2 production is a vital strategy to cut down the energy consumption linked to conventional water electrolysis. This study reports the development of a MOF-derived Cobalt Sulfo-Boride grown on Nickel F...

Predicting Defaulter in Loan Approval using Machine Learning

In wide range of improving banking sector in recent times and the increasing trend of taking loans is one of a large population applies for bank loans. But the major problem all banking sectors face in this ever-changing economy is the increasing rate of loan defaults, and the ba...

UAV integrated IoT sensing platform for sustainable air quality monitoring and real time AQI estimation

Monitoring modern air pollution requires flexible but portable systems that can be used to gather real-time data in various settings. This paper describes a drone-based air quality monitoring platform with IoT-enabled sensors integrated into it. The system carries multiple gas se...

An interpretable feature-augmented stacked ensemble framework for student dropout prediction

Abstract Student dropout prediction is regarded as one of the significant research fields in educational data mining. It aids the sustainability of institutions and early interventions in schools. This study proposes an Enhanced Stacked Dropout Predictor (eSDP), which is a featur...

Tellurium-Based Hybrid Structure for Thermal Management Applications

Abstract Personal thermal management (PTM) textiles have been increasingly explored for automotive applications to regulate vehicle surface temperature by reducing ice formation in cold environments without external energy. Developing adaptable PTM fabrics offers a promising stra...

Mode division multiplexing using Laguerre–Gaussian beams with VSB-CSRZ modulation for high-capacity underwater optical wireless communication

Abstract Underwater optical wireless communication (UOWC) is a promising technology for high-speed data transmission underwater due to its large bandwidth, low latency, and high capacity. In this work, a high-capacity UOWC system based on mode division multiplexing (MDM) and vest...

Effective lag synchronisation and control in piecewise linear fractional-order Rössler and Rikitake systems

This paper studies the lag synchronisation and control in piecewise linear fractional-order Rössler and Rikitake systems. We replace certain nonlinear terms in the two systems with piecewise linear approximations using signum functions for improved analytical tractability and enh...

Interface-Engineered AgCoAc on Ti3C2T x MXene as a Bifunctional Electrocatalyst for Advancing CO2 Utilization and Oxygen Evolution

Abstract The escalating global demand for renewable energy sources and chemicals necessitates sustainable and resource-conscious production protocols that address future demands with a minimal environmental impact. The current study presents the viability of the AgCoAc@Ti3C2Tx-ba...

Extending Erikson’s generativity to leadership: a psychobiographical study

Purpose Erikson’s concept of generativity has shaped developmental psychology for over seven decades, yet its application within management and leadership scholarship remains narrow, Western-centric and largely interpersonal in focus. This paper aims to trace that theoretical gap...

A dynamic method to solve a solid tumor growth in a fractional model

The Residual Power Series Method (RPSM) is a semi-analytical technique used to solve nonlinear fractional differential equations.The efficiency and accuracy in approximating solutions has contributed to the popularity of this method, which has gained more attention in recent year...

Green signals: how perceived value, self-brand connection and brand credibility shape willingness to pay for green products

Purpose This study examines the interaction between green perceived value (GPV), self-brand connection (SBC) and willingness to pay more (WPM), and moderating role of brand credibility (BC) for green products. It underpins on Signalling Theory and Value-Based Pricing Theory, and...

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...

Farming without title: feminisation of agriculture and the Commonwealth’s unfinished gender commitment

Across the Commonwealth, women are farming more and owning less. The Food and Agriculture Organisation of the United Nations (2025) attributes this to diverse factors within agrifood systems. This ...

A bibliometric analysis of intellectual structure and thematic evolution in artificial intelligence enabled green human resource management for environmental sustainability

Artificial Intelligence (AI) and Green Human Resource Management (HRM) are new frontiers in the field of organizational sustainability studies. This study aims to systematically capture the intellectual structure, thematic evolution and network collaboration in the AI-enabled Gre...

CuFe Bimetallic Electrocatalyst for Low-Voltage Formaldehyde-Assisted Dual Hydrogen Production

Abstract An effective strategy to lower the operating voltage and system cost of water electrolysis for green hydrogen production is to couple the hydrogen evolution reaction with a kinetically facile oxidation reaction instead of the oxygen evolution reaction. Formaldehyde oxida...

Bimetallic Silver-Copper Micro Flower Nanozyme-Based Colorimetric Sensor Assisted by Artificial Neural Network for Point-of-Care Uric Acid Detection

Abstract The current investigation aims to offer a ready-to-use biosensor with the aid of an artificial neural network (ANN)-powered point-of-care solution model for the detection of uric acid (UA). This mechanism is based on the enzyme-like activity of a bimetallic silver–copper...

Comprehensive Sexuality Education (CSE) in India: Decoding Parental Views and Understanding

Objectives: To explore parental attitudes toward comprehensive sexuality education (CSE), assess their willingness to discuss sexuality-related topics with their children, and generate evidence to support policy advocacy for age-appropriate CSE in Indian schools. Method: A cross-...