Manipal Academy of Higher Education

High-performance next-generation screening technology system using teaching–learning-based optimization for cancer detection

Abstract Early and accurate detection of breast cancer remains challenging due to high-dimensional clinical data, feature redundancy, and limitations of existing diagnostic decision systems. To address these issues, this study proposes a hybrid feature selection and classificatio...

Machine learning-based optimization, characterization and CI engine assessment of biodiesel synthesised from waste soybean cooking oil

Abstract Waste cooking oil as a feedstock for biodiesel production is a sustainable choice which resolves the environmental concerns related to its disposal. The present paper focusses on biodiesel production from waste soyabean oil via transesterification using ethanol and potas...

From policy debate to empirical evidence: a proof-of-concept bibliometric and LLM-assisted abstract-level content analysis of OTC hearing aid research before and after FDA regulation

Objective To characterise temporal patterns in over-the-counter (OTC) hearing-aid research before and after U.S. Food and Drug Administration (FDA) implementation of the OTC category (effective October 2022), using bibliometrics and large language model (LLM)–assisted abstract-le...

Study of sensor behavior of functionalised cellulose

Abstract An efficient and sustainable approach in the electrochemical sensing of materials has been very important and is an ongoing challenge in the field of biomedical analysis. Cellulose acetate was synthesized via microwave-assisted acetylation and evaluated as an electrochem...

In silico evaluation of deleterious nsSNPs in SOD1 and TARDBP genes associated with amyotrophic lateral sclerosis

Abstract Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder involving mutations in the SOD1 and TARDBP genes that significantly influence its development. Nonsynonymous SNPs in these genes can disrupt protein stability, folding, and regulatory functio...

Marine chitinase BtChi disrupts cell wall integrity in Candida albicans and non-albicans species by chitin targeting and release of chitooligosaccharides

Abstract Increasing resistance to conventional antifungal drugs against Candida species, along with the limited availability of drug targets due to similarities between fungal and human cellular processes, necessitates alternative antifungal strategies. Chitin, a key polysacchari...

Impact of Nutritional and Organoleptic Use of Underutilized Green Leafy Vegetables in Bakery Products: A Systematic Review of Novel Food Applications.

Background The low utilization of green leafy vegetables (GLVs) makes them a nutrient-dense food that is frequently overlooked in the food system. Their integration into baked products may confer nutritional and organizational benefits. However, few studies have addressed their i...

Artificial intelligence modelling of cobalt chromite (CoCr 2 O 4 ) nanofluid flow over a curved surface with melting phenomena and nonlinear thermal radiation

This research looks at the incompressible flow of a cobalt chromite nanoparticle mixed with water and ethylene glycol in a 50:50 ratio, passing through a Darcy–Forchheimer porous medium with a curved stretching surface embedded in it. Included in the model are four typically hand...

From beverage preference to experiential attraction: a post-published review of tea tourism in India

Culinary tourism has gained significant scholarly attention over the past two decades as researchers increasingly recognise the role of food and beverages in shaping tourist experiences, destinatio...

The future of high-dose, high-intensity neurorehabilitation: Consensus-based core recommendations from the fourth Stroke Recovery and Rehabilitation Roundtable

Objective: Convergent evidence indicates that high-dose, high-intensity rehabilitation (HDHI) improves outcomes beyond usual care after stroke, yet implementation remains limited. While questions of optimal dose, timing, and delivery format continue to be refined, the biological...

White analytical chemistry-driven, blue-guided LC-MS/MS method for simultaneous quantification of metformin and sitagliptin in human plasma

Abstract A liquid chromatography-tandem mass spectrometry method was developed for the simultaneous determination of metformin (MET) and sitagliptin (SIT) in human plasma. Chromatographic separation was achieved on an Endurus C18 pro-XR 4.6 × 100 mm column, using methanol and 2 m...

Dynamic interaction and energy redistribution in shared DC-link multi-output CC–CV flyback converters fed by an MPC-controlled boost PFC

Abstract Multi-output Constant Current–Constant Voltage (CC–CV) power conversion systems are increasingly employed in battery charging applications because they enable multiple charging channels to operate from a common Direct Current (DC)-link. However, the dynamic interaction a...

Effect of thermochemical silicon diffusion and age hardening on the mechanical and tribological properties of commercial grade aluminium

Abstract Commercially available pure aluminium is an alloy with Si, Cu and Mg impurities lacking in strength and surface hardness compared to its conventional alloys due to small quantity of alloying elements. This study investigates the property alteration with a process of high...

An in-situ substrate heating strategy for residual stress reduction and mechanical property enhancement in wire-arc additive manufactured Nickel Aluminium Bronze (NAB) alloy

Wire-Arc Additive Manufacturing (WAAM) offers a rapid manufacturing route for the fabrication of Nickel Aluminium Bronze (NAB) alloy marine components compared to conventional casting processes. However, high cooling rates and cyclic thermal conditions inherent to the WAAM proces...

A Hybrid Deep Reinforcement Learning Framework for Efficient Cloud Resource Scheduling

Abstract Cloud computing enables on-demand access to scalable virtualized resources. However, efficient task scheduling in cloud computing remains a challenge because of the dynamic and heterogeneous nature of workloads. This paper proposes a hybrid Deep Reinforcement Learning (D...

Mapping mindfulness: a systematic review and a framework for developing organizational mindfulness capability

Purpose This study aims to synthesize workplace mindfulness literature, identify research gaps, and propose a future agenda. Design/methodology/approach A systematic review of 53 peer-reviewed articles was conducted to examine the antecedents, mechanisms and outcomes of mindfulne...

Development of discriminatory and biopredictive bicarbonate buffer based dissolution method to screen delayed release formulations

Objective- To develop a novel, discriminatory and biopredictive bicarbonate buffer (BB)-based dissolution method to understand the behaviour of oral delayed release (DR) formulations containing Mesalamine.Significance- Conventional dissolutions have limitations in obtaining discr...

Diagnostic accuracy of single-, tri-, and four-phasic CT urography and radiation dose assessment: a systematic review and meta-analysis

Abstract Background Computed tomography urography (CTU) is widely used for evaluating urinary tract disorders, but the optimal number of acquisition phases remains uncertain because additional phases increase radiation exposure. This study aimed to evaluate the diagnostic accurac...

Quantum technologies in clinical medicine: a systematic cross-domain synthesis and translational readiness taxonomy

Abstract Quantum technologies — encompassing quantum sensing, quantum computing and machine learning (QML), quantum nanomaterials, and quantum cryptography — represent an emerging class of physical and computational tools with the potential to address fundamental limitations in c...

Unveiling the self through augmented reality consumption experiences

Purpose Technology-mediated consumption experiences can influence consumers in ways that extend beyond attitude changes or behavioural responses, inspiring curiosity and openness about the self. Focusing on augmented reality (AR) tools, this study aims to develop and validate a f...