GLA University

Technostress and trust in AI mediate the association between AI adoption and employee well-being

Artificial intelligence (AI) technology adoption alters organizational workplaces, automating tasks and processes, augmenting decision-making capabilities, and changing employees’ perceptions of work. While past research has demonstrated positive effects of AI on productivity and...

Is Feminism Losing its True Spirit?

Society needs a hierarchy to function properly. Some need to be at the top to handle the management, while others are subordinate to them. But this hierarchy shall be based on merit and competence, rather than superstitious beliefs. Women have been looked down upon by society for...

Comparative evaluation of metal, metal oxide, and bimetallic nanoparticles in water treatment applications

Abstract The rapid increase in global water pollution resulting from industrialization, urbanization, intensive agriculture, and emerging contaminants has highlighted the limitations of conventional water treatment technologies, creating an urgent need for efficient and sustainab...

Comparative mechanical and microstructural analysis of heat input on duplex SS/austenitic SS by TIG weld

Comparative analysis of variable heat infusion (Low/High heat infusion) over dissimilar metal comprises of Duplex stainless steel (DSS) 2205 and Austenite stainless steel (ASS) 304L has been executed with support of TIG welding. For joining the plates, we use ER309L & ER2209 with...

Entrepreneurial leadership, AI adoption, and innovation performance: evidence from Indian entrepreneurial ventures

Purpose The purpose of this paper is to explore the effect of Entrepreneurial Leadership (EL) on Innovation Performance (IP) with the mediation of Organizational Learning Culture (OLC) and the moderation of Artificial Intelligence Adoption (AIA). There is little empirical evidenc...

Enhanced and Swift Adsorptive Removal of Basic Violet 3 Dye Utilizing MWCNT-MXene Composite

Abstract Carcinogenic basic violet 3 (BV3) has severe hazards, requiring efficient extraction methods. The study demonstrates solvothermal MWCNT-MXene adsorbent fabrication to remove BV3 from aqueous solutions. The composite exhibited 99% BV3 adsorption in 30 min and a maximum ca...

Energy Efficient Federated Graph Reinforcement Learning and Digital Twin Assisted Demand Response for Blockchain-Enabled Self-Healing Smart Grids

Abstract Smart grids today are highly decentralized and data-driven, with the growing incorporation of renewable energy resources, electric vehicles, distributed energy systems and intelligent edge devices. Energy efficiency, operational resilience, privacy protection and secure...

Revolutionizing sustainability of agroecosystems using nano-biochar solutions: Agricultural and environmental perspectives

Abstract Background : Achieving sustainability of agroecosystems in the face of increasing environmental challenges and diminishing natural resources demands innovative and multifunctional materials. Carbon capture from biomass residue is a promising approach and represents a cli...

Price gouging in the B2B pharmaceutical market: a systematic review of unethical pricing, market manipulation, and regulatory challenges

Purpose The present study aims to systematically review the literature on price gouging in the business-to-business (B2B) pharmaceutical market. By reviewing the intellectual structure of the area, the study’s findings analyze key themes and future research directions from econom...

A comprehensive survey on connectivity for IoT sensor networks

Recent demand for Internet of things (IoT) based sensing devices has increased in many significant areas, such as greenhouse monitoring, remote patient monitoring, military applications, wild-life tracking and habitat monitoring, precision agriculture, etc. Moreover, some critica...

Computationally efficient hash based single image dehazing leveraging depth anything

Many computer vision applications demand the quality input image to act further. However, if there is haze, the image gets deteriorated. Therefore, it needs to be dehazed before being used as an input. In this article, we propose a Hash-Based-Single-Image-Dehazing (HBSID). It uti...

Agentic AI: Vision and challenges

Agentic AI systems are increasingly viewed as a viable response to the shortcomings of static, rigid, and human-in-the-loop Artificial Intelligence (AI) systems. This is because autonomous operation enables rapid adaptation to dynamic, complex problems with improved time-critical...

Efficient DR-23 adsorption by ZIF-67-acetate and sulfate in single and mixed dye matrices

Abstract Toxicants such as Direct Red-23 (DR-23) require advanced wastewater treatment techniques to mitigate environmental pollution. Herein, two variants of ZIF-67 (acetate and sulfate) were fabricated and investigated for the advanced adsorption of DR-23. Using different count...

Nonlinear primary resonance and dynamic stability in parametrically excited self-sustaining curved SWCNTs subjected to a thermal and magnetic loads

Abstract This research conducts a systematic examination of the nonlinear dynamic behaviour exhibited by curved single-walled carbon nanotubes (CSWCNTs) under parametric excitation while embedded in a nonlinear viscoelastic medium. The investigation employs nonlocal Euler–Bernoul...

HyperTransUrban: a vision transformer-driven survey of change detection using hyperspectral imaging

In the twenty-first century, urbanization has become one of the most transformative processes, driving significant changes in land use, infrastructure, and environmental conditions. These dynamics underscore the need for accurate urban planning, environmental monitoring, and disa...