Manipal Academy of Higher Education

Thermohydraulic performance enhancement of a solar air heater integrating jet impingement and semi-cylindrical side-wall modification within a dual-chamber configuration: a combined experimental and numerical investigation

This work introduces a novel hybrid solar air heater (SAH) architecture that combines jet impingement and semi-cylindrical side-wall geometry modifications within a dual-chamber duct to simultaneously exploit active and passive augmentation mechanisms. A systematic parametric stu...

A non-concise formula in the integer Heisenberg group

A first-order formula in the language of groups is concise in a class of groups if, in every group in that class, finiteness of its solution set implies finiteness of the subgroup generated by that set. We give a parameter-free positive formula with one free variable that is not...

Finite first-order recognition of freeness from subsemigroup lattices

Let \(\mathcal L(S)\) be the lattice of all subsemigroups of a nonempty semigroup \(S\), including the empty subsemigroup. There are sentences \(\Phi_{\rm fr}\) and \(\Phi_{\rm ab}\) in the language \(\{\wedge,\vee\}\) such that \(\mathcal L(S)\models\Phi_{\rm fr}\) exactly when...

Central Bank Currency Composition and Financial Stability: Does Dollar Decline Matter?

Background This study examines whether the accumulation of U.S. dollar (USD) reserves mitigates financial volatility in the presence of rising geopolitical risk (GPR) across emerging Asian economies. In the context of ongoing discussions on the changing currency composition of of...

A machine learning framework for enhancing threat detection in core banking systems

Abstract One of the biggest issues around using machine learning (ML) for cybersecurity in commercial banking is the gap between proof-of-concept and in production. Not every model that has a high accuracy score on a benchmark dataset is the same model as one that is operating in...

3D Bioprinting Approaches for Dental Pulp Regeneration: A Scoping Review

Three-dimensional (3D) bioprinting has emerged as a promising strategy for engineering biomimetic constructs capable of supporting regeneration of the dental pulp-dentin complex. However, the rapidly expanding literature is methodologically heterogeneous and difficult to synthesi...

Reversible cross-channel coupling and dynamic diffusion for secure chaos-based color image encryption

Abstract The rapid growth of multimedia communication and cloud-based image transmission has increased the demand for secure and computationally efficient image encryption techniques. However, many existing chaos-based image encryption schemes rely on partially adaptive key gener...

Isolation and Quarantine Policies During the COVID-19 Pandemic: A Narrative Review on Global Challenges, Implementation Barriers, and Lessons Learned

Isolation, quarantine, and contact tracing are some of the most critical and commonly employed non-pharmaceutical interventions used to control the spread of COVID-19. However, the effectiveness of these strategies and their implementation depends on many factors, including a cou...

Adaptive dual stream neural encoder with privacy aware non-identifying data augmentation pipeline for low latency cross lingual speech recognition

Abstract Cross-lingual speech recognition for real-time applications is constrained by the joint requirements of low latency, high recognition accuracy, and strict privacy over conversational audio. This research work addresses these constraints by designing an adaptive dual-stre...

Occupational stress and psychological distress among railway loco pilots in Bengaluru, India: A mixed-methods study

Abstract Objective Occupational stress and mental health conditions are increasingly prevalent among transport workers, especially railway loco pilots operating under prolonged, irregular, and high-pressure schedules. Methods This mixed-methods study assessed work-related stress...

Thermal–Hydraulic Performance Analysis of Micro Pin‐Fin Heat Sinks With Different Fin Geometries: A Numerical Study

ABSTRACT Efficient thermal management is essential for maintaining the reliability and performance of modern microelectronic devices. This study presents a detailed numerical analysis of a three‐dimensional micro pin fin heat sink incorporating 55 fins arranged in a single channe...

Periodontitis and the Risk of Mortality from All Causes in Humans- A Scoping Review

Abstract Purpose of Review Periodontitis is a highly prevalent disease with strong associations with systemic diseases that are leading causes of death globally. We aimed to systematically map the evidence regarding the association between periodontitis and the risk of all-cause...

Feasibility and preliminary effects of a structured home-based pulmonary rehabilitation on functional exercise capacity in individuals with bronchiectasis: a pilot randomised controlled trial

Abstract Background Pulmonary rehabilitation is widely recognized as an effective intervention for chronic respiratory diseases; however, access to supervised programmes remains limited. Evidence on home-based pulmonary rehabilitation (H-PR) in individuals with bronchiectasis is...

Cell-based therapies of autoimmune diseases in the context of artificial intelligence development

Abstract Autoimmune diseases are comprised of several chronic inflammatory conditions characterized by activation of autoreactive T and B lymphocytes and produces autoantibodies. While most of the current treatment options mainly rely on non-specific immunosuppression, stem cell...

PSO-optimized ensemble learning framework for high-accuracy sensorless voltage estimation in industrial inverter drives

Abstract Accurate voltage estimation is essential for real-time control and condition monitoring of industrial inverter-driven systems, particularly under dynamic operating conditions. This study proposes a sensorless, data-driven framework for estimating phase voltages in a thre...

Quantum-enhanced deep learning for Parkinson’s disease classification

Abstract Parkinson’s disease (PD) involves a slowly advancing neurological condition that profoundly impairs motor as well as cognitive abilities, making prompt and precise diagnosis essential for successful treatment. Diagnosing PD using MRI images is difficult because of subtle...

Efficacy and safety of canagliflozin are consistent across polypharmacy burden in CKD: the CREDENCE trial

Abstract Background Polypharmacy in chronic kidney disease (CKD) is substantial. Clinicians and patients are often reluctant to add medications to already complex regimens, partly due to concerns about diminishing efficacy and increased adverse effects. We assessed whether effica...

Human-inherited RORγT deficiency encompasses genetic heterogeneity, T cell deficiency, and clinical homogeneity

Abstract We previously reported inherited RORγT deficiency in seven patients from three ancestries (Chilean, Palestinian, Saudi Arabian) with mycobacterial disease and chronic mucocutaneous candidiasis (CMC). We report here five additional patients from different ancestries (Afgh...

Recognizing and Addressing Fertility Issues among Childhood Cancer Patients and Survivors in India – A Multi Stakeholder Position Statement and Call to Action

Abstract Survival rates in childhood and adolescent cancers have improved substantially over the past decades, leading to a growing population of long-term survivors. In India, an estimated 76,000 children and adolescents are diagnosed with cancer annually, and approximately one-...

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...