Sardar Vallabhbhai National Institute of Technology Surat

Cascade Detection of Vitamin B6 Cofactors Pyridoxal 5′-Phosphate and Pyridoxine Using Trypsin-Stabilized Fluorescent Nickel Nanoclusters

Abstract Vitamins are essential micronutrients, and their deficiency can cause serious health issues, making rapid and sensitive analytical detection crucial. This study presents a synthesis method to obtain fluorescent trypsin (Tryp)-stabilized nickel nanoclusters (NiNCs) for th...

Locally adaptive Physics-Informed Neural Networks for nonlinear partial differential equations

Physics-Informed Neural Networks (PINNs) have emerged as a powerful paradigm for solving forward and inverse problems governed by partial differential equations (PDEs). However, standard PINNs often struggle with convergence and accuracy, especially when solving non-linear PDEs....

Hybrid endoscopic submucosal dissection enhances efficiency with comparable curative outcomes: a Bayesian meta-analysis, systematic review, and Monte Carlo simulation of randomized controlled trials

Background/Aims: Gastrointestinal (GI) cancers accounted for 3.24 million deaths worldwide in 2022. Endoscopic submucosal dissection (ESD) enables en bloc resection of early neoplasms but is time-intensive and technically challenging. Hybrid ESD (H-ESD), which combines dissection...

The Role of Inner Halo Angular Momentum (Spin) in Shaping Dark Matter Bars in Milky Way Analogs

Abstract Studies of galactic bars have primarily focused on stellar bars, since they can be directly observed through ultraviolet to infrared wavebands. Cosmological as well as idealised simulations reveal that the dark matter (DM) halos interact with baryonic matter, primarily t...

Probing Salt‐Induced Changes in the Self‐Assembly Behavior of Gemini Surfactants Using Scattering and Spectroscopic Techniques

This study investigates how Gemini surfactants (GSs) with varying alkyl chain lengths and spacer architectures regulate interfacial behavior, self‐assembly, and the photophysical response of Merocyanine 540 (MC540) in aqueous media. Tensiometric measurements demonstrate that incr...

Synergistic effects of copper nanoparticles and multi-walled carbon nanotubes on dielectric behaviour of poly methyl methacrylate-based hybrid nanocomposites with machine learning insights

Polymer-based dielectric nanocomposites have attracted considerable attention for electronic applications; however, achieving enhanced dielectric performance while maintaining electrical insulation remains a significant challenge due to inadequate filler dispersion and limited un...

Approximation of complex-valued functions by rational interpolation operators: Theory and applications

The approximation of complex-valued functions is of fundamental importance as it provides a framework for amplitude and phase-dependent phenomena. In this paper, we propose a family of complex rational interpolation operators to approximate analytic as well as non-analytic functi...

A unified study of hidden-charm and hidden-bottom mesons

Abstract We present a unified phenomenological analysis of hidden-charm and hidden-bottom mesons, treating the $$c\bar{c}$$ c c ¯ and $$b\bar{b}$$ b b ¯ sectors within a common screened-potential and QCD sum-rule framework. The mass spectra are obtained from a screened Coulomb-pl...

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...

Benchmarking autoregressive machine learning models for daily rainfall forecasting as a baseline for hydrological applications

Abstract Accurate daily precipitation forecasting is a prerequisite for efficient reservoir operations, irrigation scheduling, and urban flood management, yet inherent predictability limits pose a significant challenge. This study quantifies these limits by evaluating a suite of...

Enhance motor imagery EEG classification using DWT and chirplet transform

Brain Computer Interfaces promote seamless interaction between individuals with movement limitations and their surrounding environment by transforming electroencephalography signals derived using Motor Imagery. The procedure relies on accurately classifying various MI activities,...

A Robust Machine Learning Framework for Assessment of Hydroclimatic Teleconnections between Monthly ISMR and 18 Circulation Indices and Prediction of Monthly ISMR

Abstract Rainfall received across the India during monsoon season is very crucial for the country’s economy. Predicting monthly rainfall plays a crucial role in efficient water resources management and in reducing the risk of hydrological disasters. Looking to the drawback of gen...

Data-driven probabilistic evaluation of voltage stability limit considering joint wind uncertainties

Abstract The voltage stability limit (VSL) is crucial for power system operators to ensure grid security by defining the maximum loading before risking voltage collapse, thus preventing cascading events and maintaining reliable power supply. Higher proportion of renewable integra...

Wideband Compact Designs of Circular and Equilateral Triangular Microstrip Antennas Employing Rectangular Slots Cut Ground Plane

ABSTRACT Compact and wider bandwidth designs of proximity fed circular and equilateral triangular microstrip antennas backed by rectangular slots cut ground plane are proposed. Slot on the ground plane reduces the fundamental mode frequency on each of the patches that yield wideb...