Karunya University

Precision gene editing in infant neuroblastoma: a review of nanoparticle: enabled CRISPR/Cas9 therapies

Infant neuroblastoma (NB), defined by diagnosis during the first year of life, represents a clinically heterogeneous disease spectrum ranging from localized tumours with favourable outcomes and a capacity for spontaneous regression, to high-risk metastatic disease requiring inten...

Analysis of tensile properties, fracture characteristics, and microstructural features in friction stir welding of dissimilar aluminium alloys reinforced with Al 2 O 3

In the present investigation, dissimilar aluminium alloys AA2014-T6 and AA5083-H111 were joined using friction stir welding combined with in-situ reinforcement of aluminium oxide (Al2O3) particles. A single V-groove with an included angle of 45° was machined along the welded join...

AMF-U-Net: an adaptive multimodal fusion residual attention 3D U-Net for boundary-aware brain tumour segmentation

Precise 3D segmentation of brain tumors based on multi-modal magnetic resonance images(MRI) is challenging due to intensity heterogeneity within tumor sub-regions, irregular tumor boundaries, extreme unbalanced class distribution at the voxel level and acquisition variability. Th...

A review on intranasal nanoparticle delivery systems for blood–brain barrier penetration in medulloblastoma therapeutics: current insights and future perspectives

Accounting for approximately 20% of all childhood central nervous system (CNS) malignancies, medulloblastoma is the most common malignant pediatric brain tumor. Current standard-of-care treatment, comprising craniospinal irradiation, adjuvant chemotherapy, and surgical resection...

IoT enabled deep learning and multi objective optimization of nanoPCM solar thermal energy storage for intelligent charging discharging control

Temporal differences between the availability of solar thermal energy and thermal requirements limit the effective utilization of solar thermal power, necessitating advanced thermal energy storage solutions. This study complemented the working performance of phase change material...

Artificial intelligence based optimization of electrical discharge machining parameters for minimizing surface roughness of aluminium 6061 boron carbide metal matrix composites

Modern manufacturing increasingly demands the optimization of non-linear responses during the Electrical Discharge Machining (EDM) of Metal Matrix Composites (MMCs). This study investigates the surface integrity of an A6061 alloy reinforced with 6 wt% B 4 C (Boron Carbide), synth...

Investigation of Si1-xGeₓ nanosheet TFET performance and single-event transients through germanium mole fractions

This paper presents a novel vertically stacked SiGe nanosheet Tunnel Field-Effect Transistor (SiGe NS-TFET) structure in which the channel region is engineered with a Si 1-x Geₓ compound material to improve the device electrical performance. The electrical performance of the devi...

Eco-responsive CeCo-MOF/g-C3N4 heterointerfaces for electrochemical detection of nilutamide in aquatic systems

The widespread occurrence of pharmaceutical contaminants in aquatic environments necessitates the development of sensitive and sustainable sensing platforms for environmental monitoring. In this work, a bimetallic cerium‑cobalt metal-organic framework (CeCo-MOF) integrated with t...

Deep Red Emissive Asymmetric D-A-D′ D\text{-}A\text{-}D^\prime$ AIEgens Exhibiting Substituent-Dependent Tunable Emission and Optical Waveguiding

Abstract A series of asymmetric D-A-D′ aggregation-induced emission compounds (AIEgens) were synthesized by linking triphenylamine (TPA, D) and benzofuran (BF, D′) donors with a malononitrile (A) acceptor. Their structures and the influence of various substituents on solid-state...

Flexible PVDF‐HFP/Single‐Walled Carbon Nanotubes Nanocomposite Films With Enhanced β‐Phase for High‐Performance Piezoelectric Energy Harvesting and Self‐Powered Sensing

Flexible piezoelectric nanogenerators (PENGs) are potential solutions for harvesting and sensing energy. The PVDF‐HFP/SWCNT nanocomposite films with SWCNT contents of 0.1, 0.25, and 0.5 wt% were prepared using a simple solution casting technique. The uniform dispersion of CNT and...

Electrochemical properties of neodymium-doped vanadium oxide nanoparticles in supercapacitor applications

Pure V2O5 and Nd3+-doped V2O5 nanoparticles were synthesized by the co-precipitation method and investigated as supercapacitor electrode materials. XRD confirmed the orthorhombic crystal structure, while FTIR, PL, and morphological analyses revealed structural modifications induc...

Implementation of a Novel Adaptive Deep Learning-based Change Detection Framework under Flood Environment

An important and efficient Remote Sensing (RS) application is change detection, as it aids in locating the crucial changed areas and offers respective time-series data with the assistance of RS imagery. Here, one of the common and unexpected tragedies is flood, which affects the...

Advancing Parkinson’s detection from MRI: a deep learning comparison of classical and quantum architectures

Abstract Purpose The precise diagnosis of Parkinson’s Disease (PD) continues to pose a considerable barrier in clinical neurology. This work investigates the capability of sophisticated deep learning architectures to improve Parkinson’s disease identification via Magnetic Resonan...

Harnessing microRNA regulatory networks for engineering climate resilience and nutritional enhancement in millets

Millets are increasingly promoted as climate-resilient nutri-cereals that can stabilize production and support nutritious diets under drought, heat, salinity, and low-input farming. MicroRNAs (miRNAs) provide a powerful post-transcriptional regulatory layer that regulates stress...

Hybrid dynamic feature convolution with transformer fusion model for the detection of intrusion during manufacturing process

Intrusion detection is essential in contemporary manufacturing systems. These are vulnerable to various cyber threats due to the integration of cyber-physical systems and continuous data exchange. Traditional intrusion detection systems include statistical models and standard mac...