Dr. Hari Singh Gour University

Rationally Designed Phenyl- and Phenanthryl-Based Imidazole Hybrids for the Treatment of Breast Cancer—A Structure–Activity Relationship Study

A series of 11 compounds of phenyl–imidazole–pyrrole and 9 compounds of phenanthryl–imidazole–pyrrole were synthesized and evaluated against breast cancer cell lines differing in the expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth facto...

Next-generation medical nanorobotics: biohybrid systems, AI-guided navigation, and clinical translation challenges

Medical nanorobotics advances nanomedicine by integrating nanotechnology and intelligence into active platforms capable of performing active navigation, real-time monitoring, and controlled therapeutic payload release. This review discusses the design approaches for targeted drug...

Airway analysis in orthodontics: a comprehensive review of methods, relevance, and clinical implications

Abstract Learning about and assessing any airway-related issues is crucial for each patient who comes to the orthodontic office. An essential part of the decision-making process should be assessing the impact of orthodontic treatment on the upper airway's dimensions. There is str...

A trust-aware computational framework for mental health risk amplification and propagation in online social networks

Computational social systems are facing big challenges because of the rapid dissemination of inaccurate information, evidenced by the growing number of negative impacts on individual and collective mental health. Although extensive research has investigated the dissemination of f...

Clinical impact of dual carbapenemase co-production on 28-day mortality in ICU patients with carbapenem-resistant Klebsiella pneumoniae: a prospective study from South India

Abstract Background Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a critical priority pathogen associated with substantial morbidity and mortality, particularly in intensive care units (ICUs). Although carbapenemase co-production is increasingly recognized, its clinical si...

Stabilization of Steady‐States in a Three Dimensional Network of Ferromagnetic Nanowires

ABSTRACT In this work, we analytically investigate the stability of steady‐states in a three‐dimensional network of ferromagnetic nanowires. We construct a three‐dimensional network nanostructure comprising an array of straight nanowires aligned parallel to each other at an equid...

Parametric sensitivity and variability-aware evaluation of CNTFET Full adders for robust nanoelectronic design

Abstract Carbon nanotube field-effect transistors (CNTFETs) offer a promising pathway beyond silicon complementary metal oxide semiconductor (CMOS), yet comprehensive circuit-level evaluations addressing statistical process variability and system-level validation remain scarce. T...

Explainable Machine Learning with Optimized Tree-Based Models and Statistical Validation for Data-Driven Wear Prediction of Carburized and Non-Carburized Engineering Steels

Accurate prediction of wear behavior in steel materials is essential for enhancing component durability and optimizing manufacturing processes. This study presents a comparative data-driven framework for wear prediction using Decision Tree (DT), Random Forest (RF), and a Physics-...

Structure–property correlation in a creatininium-based nonlinear optical crystal: experimental and DFT analysis

The nonlinear optical material Creatininium hydrochloride (CTHCl) was successfully synthesized as a single crystal by solvent evaporation at ambient temperature, as confirmed by XRD analysis. To deepen our understanding of the molecule’s intrinsic properties, quantum-chemical cal...

Closed-loop predictive resonance control through adaptive stiffness–damping co-regulation for continuous piezoelectric energy harvesting

Piezoelectric energy harvesting offers a sustainable solution for powering autonomous electronic devices, but conventional harvesters suffer from resonance mismatch under varying vibration frequencies. In this research, a Closed-Loop Predictive Resonance Control with Adaptive Sti...

Mechanistic insight into microbial mediated heavy metal uptake and tolerance

Heavy metal (HM) contamination has become a critical threat to the agro-environment, impairing soil fertility, reducing crop productivity, and disrupting ecological balance. It often displays stunted growth, chlorosis, root rot, and ultimately death of plants in severe cases. Due...

Machine learning-based carbon intensity estimation in smart grids with behind-the-meter distributed energy resources: A comprehensive review and future perspectives

The rapid transition toward low-carbon energy systems has intensified the need for accurate carbon intensity (CI) estimation at high temporal resolutions. The CI estimation is intended to support carbon-aware energy management along with decarbonization strategies. Conventional a...

AI ‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare

ABSTRACT This paper explores an AI‐assisted resource scheduling and cooperative learning model in a space–air–ground combined network (SAGIN) to possess ultra‐reliable low‐latency Internet of Medical Things (IoMT) applications. The generated healthcare data by the IoMT devices ar...

Bridging the molecular gap in one of the world’s most endemic earthworm faunas through a strategic roadmap from India

Earthworms are vital ecosystem engineers that sustain soil health and agricultural productivity. India harbors 497 described species (approximately 8.4% of global diversity), with nearly 71% endemism; however, this diversity remains poorly characterized at the molecular level. DN...

Assessment of combustion behavior and catalytic converter deposits in a CI engine operated with MWCNT-enriched pongamia biodiesel: experimental study

Abstract Although biodiesel seems to be a promising alternative fuel for compression ignition (CI) engines, its use can cause deposit formation on the catalytic converter and impact engine durability. The effects of 30 ppm multi-walled carbon nanotube (MWCNT) dispersed Pongamia b...

Modeling and Forecasting Influenza Outbreaks: A Robust Laplace-ARDL Framework vs. Deep Learning LSTM for Epidemiological Surveillance

Accurate forecasts of seasonal influenza are imperative to successfully manage public health resources. However, epidemiological time series data often show significant spiky volatility along with heavy-tailed distributions that do not satisfy the normality assumption required by...

Experimental, finite element and machine learning based investigation of adhesive thickness on tensile strength of 3D printed PLA–CF composite lap joints

Additive manufacturing enables the fabrication of lightweight composite structures with improved mechanical performance and design flexibility. In fused deposition modelling, carbon fibre reinforced polylactic acid (PLA–CF) has attracted attention because of its higher stiffness...

Adaptive cognitive firewall: A self-evolving security layer against evasive XSS payloads

Web security has become a critical domain as modern applications increasingly rely on dynamic user-generated content, making them highly vulnerable to Cross-Site Scripting (XSS) attacks. Traditional detection systems struggle to cope with evolving payload patterns, limited genera...