Vignan's Foundation for Science, Technology & Research

Cell-Penetration Peptide-Conjugated Octominin II Hybrid Inhibits the Multidrug-Resistant Shigella flexneri

Background/Objectives: The genus Shigella is one of the major pathological agents responsible for diarrhea and diarrhea-related mortality worldwide. It shows a decreasing sensitivity to most conventional antibiotics available today. Methods: Hence, an antimicrobial peptide, Octom...

Optimized bilateral segmentation deep learning network for wild animal detection

The use of Deep learning (DL) for recognition of wild animals has become an important development in wildlife monitoring. The advances will include the use of multimodal data for improved accuracy and development of lightweight models for use in edge devices. As a result, DL will...

Explainable quantum inspired LSTM model for water quality classification in fishponds

Abstract Water quality monitoring is a crucial aspect of aquaculture, contributing significantly to the health, productivity, and sustainable management of aquatic environments. It is important to monitor key parameters like pH, dissolved oxygen, turbidity and temperature levels...

Isolation structural characterization and molecular docking analysis of bioactive phytoconstituents from Hiptage madablota Gaertn root as human pancreatic lipase inhibitors

This study explores the phytochemical profile and computationally predicted interaction potential with human pancreatic lipase of the ethanol extract of Hiptage madablota Gaertn., a plant of ethnopharmacological relevance. High-performance thin-layer chromatography (HPTLC) analys...

Structure-based identification of a membrane-retained OmpA candidate against Acinetobacter baumannii by membrane molecular dynamics and phenotypic antibacterial assessment

Outer membrane protein A (OmpA) contributes to the envelope integrity and virulence of Acinetobacter baumannii and contains a lumenal cavity that may accommodate small molecules. We screened 99,878 ChEMBL-derived compounds against a structural model of the OmpA transmembrane barr...

Explainable Artificial Intelligence Based Academic Evaluation Systems: A Comprehensive Survey of Human in the Loop Decision Support and Multi Metric Writing Assessment

Artificial Intelligence (AI) has increasingly transformed academic evaluation by enabling automated assessment, intelligent feedback generation, plagiarism detection, and personalized learning support. The growing adoption of AI-driven evaluation systems has introduced new opport...

Superhydrophobic Porous Coordination Polymer-Confined Co3O4 Nanoparticles: A Sustainable Strategy for Electrochemical Water Splitting

Abstract In this work, we report three robust, cost-effective, and efficient post-synthetic nanoparticle-embedded metal–organic framework (MOF)-based electrocatalysts, Co3O4@Zn2M2(μ2–OH)2(BTMB)2 (M = Zn (1), Co (2), and Ni (3)), for overall water splitting. The pristine framework...

Design and implementation of FLC and SVSC techniques for MPPT battery charging and dual-leg DC–AC conversion in hybrid electric power systems

Abstract Hybrid renewable energy systems (HRES) commonly rely on multistage power conversion structures, which increase circuit complexity, switching losses, and overall system cost, while potentially decreasing conversion efficiency. To overcome these limitations, this study pro...

Comparative evaluation of advanced SoC estimation and active cell equalization techniques in electric vehicles

Abstract Advanced State of Charge (SoC) estimation and active cell equalization techniques are essential for improving the accuracy, safety, lifespan, and energy efficiency of lithium-ion batteries in Electric Vehicles (EVs). However, inaccurate SoC estimation, cell imbalance, ba...

An Update on the Geochemical Composition of Peninsular India Rivers Average Clay (PIRAC): A Regional Reference for River Sediments of Peninsular India

The rivers draining Peninsular India are rain-fed and their sediments are formed from weathering and erosion of continental rocks in the drainage basins. Peninsular India comprises dominantly the Archean–Proterozoic Terrain (APT) in the south, Deccan Trap Volcanic Terrain (DVT) i...

Intelligent physics-aware deep Q-network controller for resilient and battery-sustainable electric vehicle energy management

The increasing penetration of electric vehicles (EVs) in modern power systems introduces significant challenges in energy efficiency, battery health management, and stable grid interaction. Conventional EV energy management strategies often fail to simultaneously optimize energy...

Hierarchical CNT-Cu hybrid coatings for enhanced and durable pool boiling heat transfer: Mechanistic insights and CHF modelling

Enhancing boiling heat transfer through scalable and sustainable surface engineering is critical for high heat-flux thermal management systems. This study investigates pool boiling performance on copper substrates functionalized with hierarchical carbon nanotube (CNT) and CNT-Cu...

Two-Dimensional MXene-Reinforced Polymer Nanocomposites: Synthesis, Multifaceted-Properties, Applications, and Perspectives

Abstract MXenes, an emerging class of two-dimensional (2D) transition metal carbonitrides, nitrides, and carbides, are gaining significant attention due to their unique layered structures and versatile surface chemistries. These characteristics provide them with exceptional prope...

MSF-Swin-ICFNet: An Image-Derived Multi-Scale Swin Transformer Framework with Cross-Scale Feature Fusion for Breast Lesion Classification and Segmentation in Mammograms

Background: Accurate breast lesion classification and localization from mammograms remain challenging because lesions vary in size, morphology, density, contrast, and boundary clarity. This study proposes MSF-Swin-ICFNet, an image-derived Multi-Scale Swin Transformer framework wi...

Next‐Generation Two‐Dimensional FET Biosensors: Mechanistic Insights, Surface Functionalization Strategies, and Emerging Device Architectures

Field‐effect transistor (FET) biosensors integrated with two‐dimensional (2D) materials have emerged as highly sensitive platforms for label‐free biomolecular detection. This review critically examines recent advances in 2D‐material‐based FET biosensors, focusing on graphene, tra...

Effect of servo building motion and compact spinning on classimat faults in sustainable cotton/excel blended yarns

The LF14000 A speed frame, launched in the 1980s by the LMW (Lakshmi Machine Works Limited) company, is currently contending with newer speed frames that feature advanced processors and software for managing spindle speed and the bobbin building process. The LF1400 A has been red...

An explainable Deep Q-learning and convolutional neural network framework for rice leaf disease detection

Rice leaf diseases pose a significant threat to global food security by reducing crop productivity and causing substantial economic losses. The traditional diagnosis method is manual method, which is low in efficiency, subjective and not suitable for large-scale agricultural moni...

Recent advances in biosensors for cancer diagnosis and analytical strategies

Around 20 million cancer cases were diagnosed around the world in 2022, killing almost 10 million individuals. Additionally, there are projections for this pattern to continue to rise significantly in years ahead. The methods typically used to provide cancer diagnoses (i.e. imagi...

Dynamic interaction and energy redistribution in shared DC-link multi-output CC–CV flyback converters fed by an MPC-controlled boost PFC

Abstract Multi-output Constant Current–Constant Voltage (CC–CV) power conversion systems are increasingly employed in battery charging applications because they enable multiple charging channels to operate from a common Direct Current (DC)-link. However, the dynamic interaction a...

Parallel spatial cross attention ensembled deep learning model for lung cancer diagnosis and classification using computed tomography images

Lung cancer is considered one of the deadliest cancer types, which affects the respiratory system severely. Globally, the rate of morality is increasing every year due to the lack of diagnosis of lung cancer at its early stage. Thus, lung cancer detection and classification are e...