University of Rajasthan

High-Isolation Super-Wideband MIMO Antenna Based on Elliptical-Ring Geometry for Next-Generation Wireless Applications

In this work, a compact elliptical-shaped multiple-input multiple-output (MIMO) super-wideband antenna with port isolation greater than 17 dB is suggested for use in future wireless communication systems. The simulated outputs indicate a super-wide band from 2 to 30 GHz, with a p...

Long term manure driven nutrient cycling enhances productivity resilience and food security in semiarid agroecosystems

Understanding the long-term effects of sustained organic inputs is essential for building resilient and sustainable agricultural systems in semiarid regions where soil fertility and productivity are declining. Yet, the multi-decadal impacts of manure additions, especially when co...

Spectral collocation approach for fractional order 2D viscous flow through expanding and contracting porous wall model

Abstract In this paper, 2-D viscous fluid flow in a expanding or contracting wall has been studied by incorporating fractional order in the Caputo sense. The governing two dimensional equations are transformed to a highly nonlinear fractional differential equations with associate...

A Review on Nanomaterials for Improving the Electrochemical Performance of the Next-Generation Lithium-Ion Batteries

The rapid development of electric vehicles, portable electronics, and renewable energy storage has stimulated the demand for Lithium-Ion Batteries (LIBs) with higher energy density, better rate capabilities, enhanced cycling stability, improved safety, and fast-charging capabilit...

MXene-based biosensors for hospital-on-chip diagnostics: a coordination chemistry framework from materials design to clinical translation

MXenes, a rapidly expanding family of two-dimensional transition metal carbides and nitrides, have emerged as promising materials for hospital-on-chip (HoC) diagnostics because of their high electrical conductivity, chemically tunable surfaces, and versatile biofunctionalization....

BEYOND IKIGAI: Purushartha as a Holistic Framework for Human Flourishing in the Modern Age

The rapid acceleration of contemporary life has stimulated increasing attention to conceptualizations of personal meaning, purpose and overall wellness. Contemporary conceptualizations of human development include Ikigai; Maslow’s Hierarchy of Needs; Seligman’s PERMA Model; and S...

Pre-monsoon hydrochemistry and multivariate analysis of deep groundwater, Sagar Island, Sundarbans

Abstract Deep Quaternary aquifers in Holocene mega-deltas are often assumed to be protected by low-permeability clay aquitards, yet they remain vulnerable to climate-driven and anthropogenic stress. This study investigated the confined aquifer system of Sagar Island, India, durin...

Agricultural Climate Vulnerability and Differential Health Outcomes for Women and Children in Indian Agrarian Districts: Evidence From District‐Level Regression Analysis

ABSTRACT Climate‐induced agricultural distress is a significant social issue in India, where changes in rainfall and temperature affect crops and food security. This study assesses the role of agrarian climate vulnerability in determining child nutrition and women's health in Ind...

KRISHI.AI: an explainable machine learning framework for data-driven crop recommendation

Abstract Accurate crop selection is a fundamental determinant of farm productivity under varying soil characteristics and climatic conditions. Most current AI-based advisory systems are confined to predictive outputs or generic recommendations, providing little transparency into...

FedPerKD privacy aware personalized federated learning with knowledge distillation for edge oriented tomato leaf disease detection

Abstract Tomato leaf diseases threaten global food security by reducing crop yield and quality. Centralized deep-learning detectors require farms to share raw images, which raises privacy, bandwidth, and data-sovereignty concerns. We present FedPer-KD, a privacy-aware federated f...

Empirical investigation of Industry 4.0 readiness of manufacturing organizations operating in India

Abstract In developing countries like India, the adoption of Industry 4.0 (I 4.0) technologies has the potential to improve resource efficiency, waste reduction, and support sustainable manufacturing practices. However, organizational and technological challenges limit its adopti...

An Efficient Video Steganography Approach for Secure and Low-distortion Data Embedding and Extraction

Abstract The growing requirement for secure multimedia communication has tested typical video steganography methods, which often trade off embedding capacity, visual quality, and signal-processing robustness. This study proposes an adaptive Discrete Wavelet Transform (DWT)-based...

Bacterial degradation of kraft lignin, its metabolites analysis, and toxicity assessment

Abstract Background Kraft lignin (KL) generated from the pulp and paper industry is brown in color, and it causes damage to the aquatic environment and contributes to the toxicity of the effluent. However, through biodegradation, the KL structure can be modified, leading to more...

DEVELOPMENT AND OPTIMIZATION OF MEMANTINE-LOADED NANOSTRUCTURED LIPID CARRIERS USING A QUALITY BY DESIGN APPROACH

Background: Nanostructured lipid carriers (NLCs) offer a promising strategy to enhance the delivery of memantine by improving drug encapsulation and providing controlled release. This study aimed to develop and optimize memantine-loaded NLCs using a Quality by Design (QbD) approa...

Structural and Dielectric Behavior of Ca–Ni Ferrite Nanoparticles

ABSTRACT Calcium‐substituted nickel ferrite nanoparticles with composition Ca x Ni 1− x Fe 2 O 4 ( x = 0.1, 0.3, and 0.5) were synthesized using a sol–gel auto‐combustion method to examine the effect of Ca 2 + substitution on their structural, morphological, vibrational, optical,...

Band Gap Engineering and Analysis of Structural, Morphological, Optical and Surface Chemical Properties of Cu, Ag-doped and Cu-Ag Co-doped ZnO Nanoparticles

The ZnO Nanoparticles (NPs) are synthesized through a controlled sol–gel method using a zinc nitrate precursor with Ag and Cu dopants at varying concentrations (1[Formula: see text] and 2[Formula: see text], co-doping). The structural properties of Ag, Cu-doped and undoped ZnO NP...

Synergistic adsorption–photocatalysis in TiO₂/activated carbon composites: optimization of p-nitrophenol degradation and application to real textile wastewater treatment

The photocatalytic degradation of persistent nitro-aromatic pollutants is often limited by poor light utilization and fast electron-hole recombination in conventional TiO 2 systems. In this work, TiO 2 /carbon composites were prepared using activated carbon (AC) and biomass-deriv...

Multi-branch deep learning architecture for improved colposcopy image classification

Cervical cancer is still the major cause of mortality among women. However, substantial variability in lesion appearance, illumination, and tissue characteristics poses significant challenges to accurate and reliable classification. In this study, we propose a novel multi-branch...

A novel optimized deep ensemble for monkeypox lesion detection using transfer learning and ABC algorithm

Monkeypox, a reemerging zoonotic disease, has become a serious global health concern that requires rapid and accurate diagnostic methods. The increasing prevalence of skin lesion images highlights the scope of automated deep learning solutions. However, current approaches face ch...

A lightweight image encryption scheme using LFSR, logistic map, and cellular automata for resource-constrained devices

In the modern era, secure image transmission is crucial for digital communication. In particular, this communication is useful in resource-constrained devices, such as Internet of Things (IoT) mechanisms and embedded systems. Conventional encryption algorithms require greater com...