KIIT University

Adjunctive antimicrobial photodynamic therapy in the nonsurgical treatment of periodontitis: an umbrella review

Antimicrobial photodynamic therapy (aPDT) has been proposed as a locally acting adjunct to subgingival instrumentation for periodontitis. This umbrella review aimed to synthesize and critically appraise systematic reviews of adjunctive aPDT during active nonsurgical periodontal t...

Advanced biochar hybrid systems for adsorptive removal of water contaminants: Progress, mechanisms, and future directions

Abstract Contamination of aquatic systems by organic materials, heavy metals, pharmaceuticals, dyes, pesticides, and emerging pollutants is a pressing problem not only for aquatic systems but also for human health. Among the various treatment technologies, adsorption is among the...

Public Transit as a Catalyst for Emission Mitigation and Air Pollution Reduction: A Case Study in India

Rapid motorization and urbanization have made the transport sector a dominant contributor to air pollution in developing economies such as India. In this study, vehicular emission trends were investigated in Bhubaneswar, a Tier-II smart city, using a combination of questionnaire...

An adaptive multi-objective differential evolution algorithm to fine-tune the constructive cost model constants for software effort estimation

Abstract The primary goals of software effort and cost estimation are to determine project cost, shorten development time, and provide a reliable prediction. This issue is also classified as a multi-objective optimization problem. A new adaptation-based multi-objective differenti...

Job Satisfaction and Intention to Continue in Work among Syrian Pre-University Teachers

This study explores the dynamics of teacher job satisfaction among Syrian pre- university teachers and its impact on their intention to continue working (ICW). Grounded in psychological contract theory and leader–member exchange (LMX) theory, the study conceptualises job satisfac...

Compact low-profile circularly polarised AMC-integrated cavity reflector wideband antenna for potential conceivable 6G access

A compact, low-profile artificial magnetic conductor (AMC)-integrated wideband antenna has been proposed for underutilised (7–8) GHz and upgraded potential 6G-band access. The design comprises of paired 90° top-bottom dipole antennas conjoined with quarter-circular loops to imita...

Effects of dietary thymol–formic acid blend on production metrics, carcass characteristics and meat quality in turkeys

With increasing consumer demand for safe and high-quality animal protein, poultry producers are shifting towards alternative species such as turkeys to complement the chicken production and diversify the protein source. Organic acids and essential oils have been widely evaluated...

CFD analysis of split-strut spacing and fuel injection angles in a DLR model scramjet combustor

In hypersonic air-breathing propulsion systems, fuel injection and fuel-air mixing strategies play crucial role in ignition and positioning a sustainable flame in available very short residence time. This study numerically investigates the influence of geometric parameters and in...

Generalization of the f(R) Gravity Field Equations in Four-Index Form

Although there have been extensive studies on f(R) gravity, Gauss-Bonnet gravity, and other modified gravity theories, this work focuses on the 4-index formulation of f(R) gravity. A 2017 study on Generalization of Einstein's Gravitational Field Equations introduced a 4-index for...

Recent advances in mechanical and tribological enhancement of aluminium-based friction stir surface composites: A focused review

Friction Stir Surface Composite (FSSC) processing has emerged as an effective solid-state surface-modification technique for enhancing the mechanical and tribological performance of aluminium alloys and aluminium-based surface composites. It is a derivative of friction stir weldi...

Theoretical advances in CH3NH3SnI3-based perovskite solar cells: A comprehensive review

Methylammonium tin iodide (MASnI 3 ) has emerged as one of the most promising lead-free perovskite absorbers for next-generation photovoltaic devices owing to its suitable direct band gap, high absorption coefficient, excellent charge-carrier mobility, and environmentally benign...

A data-driven Kalman filter–integrated deep learning framework for optimized fault detection in lithium-ion batteries

Electric vehicles (EVs) and energy storage systems are prone to critical safety hazards associated with lithium-ion battery failures. The current fault detection tools have a fundamental trade-off: Model-based approaches cannot support aging-dependent dynamics, whereas deep learn...

Frugal AI: Sustainable Deep Learning Compression via Pruning and Mixed-Precision QAT

Deep learning models frequently require substantial computational resources, leading to high operational carbon emissions. This paper applies the principles of sobriété numérique (digital sobriety) to optimize a Convolutional Neural Network (CNN) trained on the CIFAR-10 dataset....

From Language Models to Agentic AI: A Survey of Autonomous, Action-Enabled, and Collaborative LLM Agents

Large Language Model (LLM)–based agents are rapidly evolving from passive assistants into autonomous, tool-using, and collaborative systems capable of executing complex, long-horizon tasks across web, software, and physical environments. However, the current literature remains fr...

Biochar amendments as a regenerative agriculture strategy for soil health restoration and sustainable millet production

Millet crops are primarily grown in marginal, nutrient-deficient, and increasingly arid regions, where declining soil health significantly limits productivity. Biochar is a carbon-rich byproduct of biomass pyrolysis that is being researched as a promising soil amendment to improv...

Entropy aware EnKF framework for reliable power quality prediction in smart grids

In this paper a novel predictive technique is proposed for power quality (PQ) event classification in smart grid. Here Ensemble Kalman filter (EnKF) based approach and Entropy based trust modelling are utilized to design hybrid learning model that can classify PQ events during no...

Unexpected Suppression of Tomato Fruit Cuticle Formation by Overexpression of a Key Cutin Biosynthetic Enzyme

Fruit cuticles regulate the diffusion of water, gases and solutes, functioning as essential protective interfaces against environmental and biotic stresses. Engineering cuticle structure and mechanics therefore represents a promising strategy for improving fruit quality and resil...

Privacy-preserving federated learning for detection of AI-generated text using hybrid RoBERTa-CNN models in low-resource languages

The rapid adoption of large language models (LLMs) has transformed educational writing while introducing significant challenges for academic integrity and authorship verification. Existing AI-generated text detection systems predominantly rely on centralized cloud-based infrastru...

CLIMATE CHANGE AND LIVELIHOOD VULNERABILITY: ANALYZING RISKS AMONG ODISHA’S PARTICULARLY VULNERABLE TRIBAL GROUPS (PVTGS)

<ns5:p>Background Climate change has become a major challenge for marginalized communities, particularly the 13 Particularly Vulnerable Tribal Groups (PVTGs) of Odisha, whose livelihoods depend heavily on forests and natural resources. Traditional activities such as shifting cult...

Exploring public health challenges in slums using a bibliometric insight from a global and Indian perspective

Informal urbanization has emerged as a defining sustainability challenge of the twenty-first century and a systemic barrier to the United Nations 2030 Agenda, as the proliferation of slums undermines progress across interconnected social, economic, environmental, and health-relat...