Saveetha University

Biomimetic recombinant humanized type III collagen peptide-RGD loaded alginate hydrogels enhance proliferation of mesenchymal-lineage cells via Integrin α5β1 activation

Alginate hydrogels (HG) are widely utilized in tissue engineering due to their biocompatibility and tunable physical properties, however, their bio-inert nature limits direct cellular interactions. Moreover, the receptor-level interactions of recombinant humanized type-III collag...

Bibliometric Analysis of Clinical Trials on Tobacco Use and Mental Health: Research Trends and Implications for Oral Health

Background: Mental illness and tobacco use are often associated. This study aimed to analyze the trends in tobacco use and mental health research published from 2014 to 2024, including oral health-related research within this literature, and to identify gaps for future work. Mate...

cIGW-SC: an intelligent chaotic hybrid grey wolf and sine cosine optimizer for complex engineering design problems

For intelligent systems designed to solve complex engineering design problems, premature convergence and the imbalance between exploration and exploitation remain key challenges for high-dimensional, multimodal, and composite problems. Existing approaches, including the Grey Wolf...

Hydrothermal preparation of Nickel oxide nanoparticles for photocatalytic removal of Congo red and antibacterial applications

Nickel oxide nanoparticles were successfully synthesized using a simple hydrothermal method and systematically characterized for photocatalytic and antibacterial applications. The UV–visible absorption spectrum revealed strong absorption in the ultraviolet region, and the optical...

The Effectiveness of Myofascial Release Versus Traditional Physiotherapy Techniques for Plantar Fasciitis Among Adults: A Randomized Controlled Trial

Background: Plantar fasciitis is characterized by degenerative changes and irritation at the origin of the plantar fascia, primarily involving the medial calcaneal tuberosity and the surrounding perifascial soft tissues. Common causes include overuse from activities such as runni...

Effectiveness of Oketani Breast Massage for Reducing Pain and Depression in Perimenopausal Women with Cyclical Mastalgia: A One-group Pre-test and Post-test Study

Background: Cyclical mastalgia is common among perimenopausal women and often coexists with depressive symptoms, significantly impairing quality of life. Pharmacological treatments offer limited relief and may cause side effects. Oketani breast massage (OBM), a non-invasive techn...

Age- and sex-specific trends in obesity and overweight in India, 2000–2024: Analysis of WHO modeled national estimates

ABSTRACT Background: Obesity is an important risk factor for noncommunicable diseases, but long-term age- and sex-specific trends in India remain incompletely described. Objectives: The aim of this study is to describe age- and sex-specific temporal trends in obesity and overweig...

Thermophysical properties, combustion, performance, and emission analysis of ZnO, TiO₂, and GNP-enhanced WCOME–diesel–DGM triple fuel blends in a CRDI diesel engine

The continuous utilization of non-renewable/conventional fuels for different fields of applications creates intense demand, increasing costs, and hazardous exhaust gases, which cause depletion of these products from the Earth’s source. This scenario urges researchers to find alte...

Theoretical investigation of the adsorption and sensing behavior of cephapirin on transition metal doped gallium nitride single-walled nanotubes

The extensive use of cephapirin (CPP) in the treatment of mastitis in dairy cattle has raised environmental concerns because residues excreted in an unchanged form can enter soil and water systems, where they promote the survival and spread of antibiotic-resistant bacteria. These...

ACXNet++ an attention augmented hybrid deep learning framework for cross task mental workload estimation from EEG neural manifolds

Mental workload (MWL) estimation from electroencephalography (EEG) is central to human-computer interaction, aviation safety, and cognitive-state-aware systems, yet building models that generalize across tasks and across subjects without subject-specific calibration remains an op...

Optimized Wavy Thermal Radiative Analysis of Electrochemically Ternary Hybrid Nanomaterials Affected by an Induced Magnetic Force: An ANN‐Based Levenberg–Marquardt Backpropagation Approach

ABSTRACT This study is motivated by the growing demand for highly efficient thermal management fluids in modern energy systems, microelectronics and industrial heat flow processes, where conventional fluids fail to meet rising performance requirements. To address these limitation...

Longitudinal Change and Tracking of Health-Related Physical Fitness in Adolescents Aged 12–16 Years: A Structured Narrative Review

Background/Objectives: The period between 12 and 16 years of age coincides with peak pubertal change, declining habitual physical activity, and the consolidation of lifelong behavioral patterns, making it a critical window for understanding how fitness develops and how stable (or...

Comparative assessment of landslide susceptibility using heuristic and statistical models in Chamoli, Uttarakhand, India

Landslides pose a recurring threat to human settlements, infrastructure, and ecosystems in the seismically active Chamoli district of Uttarakhand, India. This study presents a comparative landslide susceptibility assessment using three distinct models: Frequency Ratio (FR), Shann...

Cross‐Kingdom Siderophores: Biosynthesis, Ecology, and Biotechnological Applications

ABSTRACT Microbial siderophores are high‐affinity iron‐binding compounds which are produced by bacteria, fungi, and actinomycetes to obtain iron and survive and interact with different species in an iron‐deficient environment. While the conventional research on siderophore system...

Blue carbon ecosystems under pollution stress: Impacts and integrated carbon‐pollution monitoring

Abstract Coastal blue carbon ecosystems, including mangroves, seagrass meadows, and salt marshes, are globally important carbon sinks because they store organic carbon in vegetation biomass and waterlogged sediments over long timescales. However, nutrient enrichment, heavy metals...

Adaptive multimodal large language model with hierarchical cross modal grounding for real time industrial visual anomaly detection on edge devices

The problem of industrial surface anomaly detection is still a disheartening one because there are light defect data, computationally intensive, and interpretable only to a limited extent when applied in real-world systems. In this paper, we present the HCG-MLLMAD - Hierarchical...

Efficient Resource Management in 6G for Sustainable Spectrum Allocation Using Dual‐Channel Temporal Convolutional Frequency‐Separated Attention Network with Generation Rights Trading Blockchain

ABSTRACT The need for effective spectrum allocation to guarantee highly reliable, minimal‐latency, and sustainable connections has increased due to the exponential expansion of wireless communications and the introduction of 6G technologies. In order to cope with these challenges...

Design a Novel Recyclable Fe 3 O 4 @SiO 2 ‐TGDM@Ni MICOF Electrode for CO 2 Trap, Electrolyte, and Catalyst for Electro‐Carboxylation Reaction

ABSTRACT The design and development of high‐performance electrocatalytic systems featuring multiple functionalities, excellent recyclability, and reusability constitute a vital and essential advancement in the field of green chemistry. Such innovative approaches significantly mit...

Effect of pre-emptive operational strategies on product quality and deterioration dynamics

The innovative logistics strategy of cross-docking enables the offloading of goods from incoming vehicles at the receiving dock, followed by loading the products into outgoing trucks, eliminating the need for prolonged product storage. The brisk movement of products within the cr...

Climate change based yield production using hybrid deep learning with optimal feature selection

Accurate agricultural yield prediction under changing climate conditions has become the challenge task due to the increasing variability in environmental factors like temperature fluctuations, irregular rainfall patterns and soil degradation. Traditional statistical and machine l...