Parul University

Implementation challenges in a community-based randomized clinical trial in the rural settings of India

BACKGROUND: Community-based randomized controlled trials are the benchmark for evaluating public health interventions due to their real-world relevance. However, their implementation, particularly in resource-limited, rural settings, is challenging. This article details our exper...

Niallia Circulans mediated Bio-fabrication of ZnO nanoparticles: Synthesis, characterization, and multifunctional applications

The current study addresses increasing global problems (agricultural sustainability, environmental contamination, and antimicrobial resistance) by means of sustainable and multifunctional biosynthesized Zinc oxide nanoparticles (ZnO NPs). The study utilized a cell-free supernatan...

Enhancing network science with large language models and federated artificial intelligence

Abstract Sixth generation (6G) networks require intelligent and privacy-preserving solutions to handle traffic complexity, resource allocation, and security challenges. While Large Language Models (LLMs) offer advanced reasoning and Federated Artificial Intelligence (FAI) enables...

Beyond the Needle: Transforming Traditional Healthcare with Microneedle Drug Delivery Systems

In the present era, modern drug delivery systems play a fundamental role in ensuring the systematic delivery of the drug into the body, reaching the desired targets. Across recent decades, the drug delivery system has evolved from simple oral and injectable formulations to interp...

Multiomics Biomarkers of ZnO Nanoparticle Toxicity Using Mitochondrial, Oxidative Stress and Epigenetic Signatures

Zinc oxide nanoparticles (ZnO NPs) rank among the highest-volume engineered nanomaterials, and their partial dissolution generates a composite particle and ion exposure that converges on three measurable molecular layers. This review consolidates quantitative endpoints reported a...

DreamCast AI: A Provider-Agnostic, Job-Based Architecture for Project-Oriented Multimodal AI Content Creation

Creating even a short multimedia piece currently requires several separate generative services for text, images, video, speech and music, each with its own account, quota, option set and failure behaviour. This paper describes DreamCast AI, a web application that organises these...

DreamCast AI: A Provider-Agnostic, Job-Based Architecture for Project-Oriented Multimodal AI Content Creation

Creating even a short multimedia piece currently requires several separate generative services for text, images, video, speech and music, each with its own account, quota, option set and failure behaviour. This paper describes DreamCast AI, a web application that organises these...

A machine learning framework for uncertainty aware predictive optimization in smart environment and financial systems

This research presents a novel Machine Learning Driven Methodology for Predictive Optimization (ML-DMPO). The framework introduces a theoretically grounded integration of uncertainty-aware predictive analytics with constraint-aware prescriptive optimization through a differentiab...

Cyber Cloud Vault : Cloud Based File Storage

CyberCloud Vault is a cloud-based file storage application designed to provide secure and user-specific storage and file management. The system integrates user authentication, PostgreSQL database management, row-level security, and cloud object storage to manage files while maint...

Recent advances in the therapeutic potential of quinoline-piperazine hybrids

This review summarizes the therapeutic potential of quinoline-piperazine hybrid molecules having no spacer/linker in between highlighting their potential therapeutic applications in various diseases that include viral infections, tuberculosis, malaria, fungal infections, microbia...

A study on mesophase behavior of Schiff’s base liquid crystalline benzal-amino benzothiazole derivatives of 3-methoxy cinnamoyl ester

In the current synthetic approach, the cinnamoyl ester of Schiff base containing 4’-benzal-2’’-amino benzothiazole functionality has been synthesised to investigate its mesophase characteristics. The newly synthesised homologous series (I1 to I16) possesses varying alkoxy chains,...

Fake News Detection System

This paper presents a hybrid, explainable, and cross-domain Fake News Detection System that combines deep learning, natural language processing, metadata analysis, and real-time verification. The proposed system uses a fine-tuned RoBERTa transformer for language classification, L...

Climate Risk Prediction System

This paper presents ClimateGuard, a localized, explainable, multi-hazard climate risk prediction system integrating satellite-derived geospatial indicators, real-time meteorological data, and machine learning for climate hazard forecasting. The system combines Random Forest and X...

Fake News Detection System

This paper presents a hybrid, explainable, and cross-domain Fake News Detection System that combines deep learning, natural language processing, metadata analysis, and real-time verification. The proposed system uses a fine-tuned RoBERTa transformer for language classification, L...

Meteoroid: A Deterministic Topological Multi-Agent Orchestration Framework for Autonomous Backend Generation and Synthesis

Meteoroid is a deterministic topological multi-agent orchestration framework for autonomous backend generation and synthesis. The system models backend development as a dependency-aware directed acyclic graph (DAG), enabling specialized agents to execute according to explicit dep...

Assessment of drug utilization patterns and associated survival outcomes in recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC): Insights from a resource-constrained set-up

BackgroundRecurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) has a poor prognosis due to patient rigors, such as malnutrition, uncontrolled comorbidities, age, and performance status. Rapidly evolving treatment paradigms have led to multimodal pharmacothera...

Hybrid and transformer based artificial intelligence for diabetic retinopathy diagnosis a systematic review of methods challenges and clinical readiness

Abstract Diabetic retinopathy (DR) remains a leading cause of preventable blindness worldwide, placing a growing burden on healthcare systems. While artificial intelligence (AI) offers promising tools for early detection and scalable screening, its transition from research to rea...