Sri Ramachandra Institute of Higher Education and Research

Electroencephalography Changes in Emotional Recognition: A Signal Processing Approach Using Wavelet Features

Background motion recognition using electroencephalography (EEG) has gained significant attention in the fields of affective computing and human–computer interaction due to its ability to capture real-time neural responses. EEG signal variations associated with emotional states c...

A Box–Behnken-Optimized Phytosomal Strategy for Diosgenin: Enhancing Oral Delivery and Antipsoriatic Efficacy in a Preclinical Model

Abstract Psoriasis is a chronic inflammatory skin disorder characterized by excessive keratinocyte proliferation and immune dysregulation, affecting patients’ quality of life. Diosgenin (DG) is a natural steroidal sapogenin with potent anti-inflammatory and immunomodulatory effec...

Occupational Heat Stress Prevention Interventions: A Scoping Review of Evidence and Gaps

Abstract Background Rising temperatures are exacerbating occupational heat stress globally, disproportionately affecting workers in resource-constrained settings in low- and middle-income countries (LMICs). While prevention strategies have been evaluated, the evidence remains sca...

An Aldehyde-Functionalized Polysaccharide Biosponge for Rapid Absorbable Hemostasis and Skin Tissue Regeneration

Abstract Massive hemorrhage and impaired wound healing continue to pose critical clinical challenges, particularly due to the limitations of currently available commercial hemostatic dressings, which often exhibit delayed clot formation, poor regenerative potential, and incomplet...

Occupational implications of fishing on oral health: A systematic review and meta-analysis

BACKGROUND: Fishermen face unique occupational hazards that may adversely affect oral health, yet this remains an understudied area. This systematic review and meta-analysis evaluated oral health outcomes among fishermen and identified occupation-specific risk factors. MATERIAL A...

Thinned Cavum Septum Pellucidum Leaflets Mimicking Septal Agenesis on Sonography

Abstract Background: Visualization of the cavum septum pellucidum (CSP) during the second and third trimesters is an important marker of normal central forebrain development. Nonvisualization of the CSP on prenatal ultrasonography raises concern for septal agenesis and associated...

Advancing Biosensing Through Artificial Intelligence: Overcoming Conventional Limitations Towards Intelligent Diagnostic Systems

Artificial intelligence (AI) is increasingly integrated with biosensors to improve signal processing, feature extraction, calibration, and clinical interpretation. However, analytical sensitivity and high internal validation accuracy do not necessarily translate into clinically u...

Numerical simulation of unsteady MHD bio-convective flow with Cattaneo-Christov heat flux over a stretching surface

Abstract The unsteady, two-dimensional, laminar boundary-layer flow of a viscous nanofluid containing gyrotactic microorganisms is examined over a permeable, radiative stretching sheet subject to an inclined magnetic field, Darcy resistance, internal heat generation, wall mass su...

Hierarchical machine learning and optimisation framework for intelligent energy management in smart distribution systems

Integrated energy management frameworks that can concurrently propagate forecast uncertainty into optimization constraints, couple fault detection with automated redispatch strategies, and enable repeatable solver benchmarking on a single testbed are still lacking in current smar...

Presence of a trusted adult and adolescent health outcomes in Urban India

Adolescents in urban India face significant challenges in accessing healthcare and reliable health information, particularly during crises such as the COVID-19 pandemic. However, the role of trusted adults in shaping adolescent health remains underexplored. This study examined he...

Functional appliances and airway in class II malocclusion

Abstract Purpose The potential influence of functional appliances on respiratory health has recently gained attention, though evidence remains inconsistent. This umbrella review and meta-analysis evaluated the impact of functional appliances on the upper airway area and volume as...

Multi-modal artificial intelligence-driven code quality prediction and self-healing automation using self-modulating convolutional neural networks

Ensuring software code quality and reliability in contemporary large-scale systems is an important problem with the soaring complexity of software architecture, varied data modalities, and adaptive execution environments. This research proposes a Multi-Modal Artificial Intelligen...

Associations of perceived stress, sleep quality, and screen time with depressive symptoms among undergraduate health-professional students: a cross-sectional study

Depressive symptoms are common among health-professional students, yet the relative contributions of psychological stress, sleep, and screen exposure remain unclear. We examined these factors and estimated the indirect association between perceived stress and depressive symptoms...

Efficacy of Myofascial Release in Improving the Flexibility of Erector Spinae and Thoracolumbar Fascia in Subjects with Chronic Low Back Pain—A Sonoelastographic Analysis

Background: Chronic low back pain (CLBP) is characterized by its diverse etiological factors. Scientific literature implies that fasciae might be crucial in the presentation of CLBP. Myofascial release (MFR) techniques are frequently employed within the realm of manual therapy an...

Plant-mediated fabrication of Ag/TiO₂ bimetallic nanoparticles with anti-diabetic and anti-Inflammatory activities: Computational and experimental investigation

Globally, diabetes affects 589 million people and is a severe health epidemic, especially in regions where its incidence remains rising. The main challenge is the increase in diabetic complications and antibiotic resistance linked to conventional treatments. Bi-metallic nanoparti...

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...

A Physics-Informed Machine Learning Framework for Adaptive Harmonic Mitigation in Residential Power Systems

This study focuses on reducing harmonic distortion in residential electrical systems caused by the use of nonlinear household appliances. A combined prediction and control framework is proposed to estimate and reduce total harmonic distortion (THD) under different operating condi...

Effectiveness of Different Frequencies of Interferential Therapy on Pain and Disability in Individuals with Low Back Pain: A Randomized Controlled Trial Study

Objectives: The objective of the study is to compare the effectiveness of quadripolar with bipolar amplitude-modulated frequency (AMF) Interferential therapy (IFT) in reducing pain level and improving functional status in patients with lower back pain (LBP). Material and Methods:...

Integrative Bioinformatics Identification of Baicalein as a Phytochemical Inhibitor of CHEK1 in Serous Ovarian Cancer: A Multi-Stage In Silico Drug Discovery Approach

Background: Serous ovarian cancer (SOC) is the most aggressive subtype of epithelial ovarian cancer, frequently diagnosed at advanced stages with poor prognosis and chemotherapy resistance. Checkpoint kinase 1 (CHEK1), a key regulator of the DNA damage response, is overexpressed...

Cognitive and Affective Correlates of Handedness: Interactions with Gender Dysphoria and Rumination

Background The adversities and inheritance patterns of left-handedness have been associated with gender-related distress. Such driving factors predispose individuals to multiple mental health outcomes, shifting attention to the role of ruminative thinking. Purpose The study seeks...