Impact of Gold Coating Methods On Sensing Performance of Enzymatic Glucose Sensors See

Glucose sensors necessitate a layer of gold or platinum on electrode surface for functionalisation. There are different methods to coat gold on metallic or polymer surfaces. These range from sputter coating to dropcasting and electroplating. In order to investigate the impact of electrode surface modification on sensor sensitivity, three fabrication methods were used: unmodified electroless nickel immersion gold (ENIG) PCB electrodes, electrodes modified by drop-casting gold solution, and ele...

Numerical Investigation of Nanoparticle Distribution Strategies in Nano Cryosurgery of Axisymmetric Biological Tissue See

Cryosurgery is a minimally invasive technique used to destroy tumors by freezing them with extreme cold. However, its effectiveness is limited by the inherently low thermal conductivity of biological tissue, which restricts heat transfer and may result in incomplete tumor ablation or unintended damage to surrounding healthy tissue. This study numerically investigates the use of Magnesium Oxide (MgO) nanoparticles to enhance thermal transport during cryosurgery. MgO nanoparticles are selected ...

Numerical Thermo-Hydraulic Performance Analysis of Serpentine, Distributor, and Parallel Microchannel Heat Sink See

The increasing power density of modern electronic devices, compact energy systems, and advanced battery technologies has created significant challenges in thermal management under high heat flux conditions. Efficient cooling is essential to maintain system reliability and performance. Microchannel heat sinks have emerged as an effective solution due to their high surface-to-volume ratio and enhanced convective heat transfer capability. However, their thermal performance strongly depends on ch...

Numerical Investigation of Heat Transfer Enhancement in Laminar Microchannels with Bio-Inspired Surface Roughness See

The integration of artificial intelligence (AI), extensive implementation of high-powered graphical processing units (GPU) coupled with advancements in high-performance computing (HPC) and setting up large data centers, has led to significant increase in power densities withing the contemporary electronic systems. Simultaneously, continuous miniaturization has intensified thermal management challenges, necessitating efficient cooling strategies. Bio-inspired thermal management approaches offe...

Unit Commitment with Respect to Both Cost and Emission Based on a Day Load Demand in an Integrated Solar and Wind Power System See

Emission control has become a critical global challenge due to increasing greenhouse gas (GHG) concentrations, primarily resulting from fossil-fuel-based power generation. In India, the growing electricity demand has intensified dependence on thermal power plants, leading to higher carbon dioxide emissions and associated environmental concerns. This paper addresses the dual objectives of reducing electricity generation cost and minimizing emissions by integrating renewable energy sources with...

Interval Estimation of the Ratio of Scale Parameters for Two Shifted Exponential Populations under Common Location Set-up See

Under the exponential model, the ratio of the scale parameters corresponds to the hazard ratio, a key measure for comparing reliability across populations. Motivated by this, we study interval estimation for the ratio of scale parameters in two exponential populations with a common location parameter. Several confidence interval methods are developed, including asymptotic-like intervals, MOVER intervals, bootstrap-p and bootstrap-t methods, highest posterior density (HPD) intervals via MCMC, ...

Pseudouridine modifications may regulate structure and protein recognition in mitochondrial mRNAs See

Pseudouridine(Ѱ) is one of the most abundant modifications in RNA that plays a crucial role in regulating mRNA function and metabolism. However, the exact mechanism by which Ѱ alters the structure, function and interaction of RBP with the mitochondrial mRNAs is still poorly understood. We investigated mitochondrial mRNAs with Ѱ modification using computational modelling and experimental validation. Predicted secondary structure revealed position-specific thermodynamic contribution. Two of the...

RNA-RBP Interaction and their Probable Function in the Microdeletion Region 15q11.2 Bp1-Bp2 See

The Burnside-Butler syndrome is a genetic condition which is linked to various disabilities like communication skills, movement disabilities, along with conduct and emotional issues due to microdeletion in BP1-BP2 region of chromosome 15q11.2. There are four protein coding genes CYFIP1, NIPA1, TUBGCP5 and NIPA2 in this region. This research is mainly focused on the interaction between mRNAs and RNA-binding proteins (RBPs) in this region which might give us an insight into the cause of such ph...

Convergence Guarantees for First-Order Methods via Lyapunov Analysis in Composite Strong-Weak Convex Optimization See

Nesterov’s accelerated gradient (NAG) method extends the classical gradient descent algorithm by improving the convergence rate from O(1/t ) to O(1/t2 ) in convex optimization. In this work, we study the proximal gradient framework for additively separable composite objectives consisting of smooth and non-smooth terms. We show that the Nesterov accelerated proximal gradient method (NAPGα) achieves a convergence rate of o(1/t2 ) for strong–weak convex functions when α > 3. A Lyapunov-based ana...

Shared vulnerabilities: Feminist Ethics of Care and Interspecies Relationality in Anuradha Roy's Novel See

In recent feminist literary criticism, a major and expanding area of research looks into ecology, ethics and relationality. While contemporary Indian English fiction has produced a growing body of work relating to these aspects, many remain primarily anthropocentric, limiting feminist ethics of care to human and, most often, maternal contexts. Within this critical understanding, interspecies relations and the role of animals in the feminist debate remain underexplored. This study addresses th...

Machine Learning-Based Task Offloading in IoT-Fog Networks: A Comparative Analysis See

There is huge amount of growth of Internet of Things (IoT) devices which are generating and processing huge amounts of data. IoT devices are generally resource constrained so they can’t do all the computations properly. Fog Computing is emerged as a solution by putting the computation resources closer to the IoT devices which helps IoT devices to offload the heavy computational tasks to the nearby fog nodes. The main goal of research is to compare different ML methods used for deciding how th...

Sequential Order Statistics Used for Reliability Analysis of Dynamic System See

Reliability studies in several engineering domains have recently made extensive use of the general family of inverted exponentiated distributions. Using this family as a baseline model, in this work, we have obtained a number of statistical inferences on the power-trend mechanism-based composite dynamic system. In particular, the maximum likelihood estimates of the unknown parameters and baseline reliability function are computed. The asymptotic and bootstrapped confidence intervals of the ba...

Cation Doped MOF derived CuO/MO (M=Zn, Ni, Mn) Based Nanocomposite: Its Bifunctional Activity for Electrochemical Sensing of Clioquinol and Electrocatalytic Oxygen Evolution Reaction See

The rational design and implementation of a simple sequential template-mediated strategy to build noble-metal-free, effective bifunctional electrocatalysts for the efficient oxygen evolution reaction (OER) and the electrochemical detection of Clioquinol (CLQ), a hazardous environmental compound, have emerged as a difficult task.1,2 In this work, we have designed cation (M= Zn, Ni, Mn) doped Cu-BTC metal-organic framework (MOF) via a simple solvothermal approach and calcined to produce CuO/MO ...

Sustainable Arsenic Removal from Contaminated Water Using Al–Fe Modified Rice Husk Biochar See

Arsenic pollution of groundwater is a major water quality concern, especially in developing nations where groundwater is widely used for drinking purpose. Continuous exposure to arsenic from contaminated water can create serious health problems, including carcinogenic and cardiovascular consequences, emphasizing the critical need for effective, low-cost and long-term water treatment methods. This study looks into the efficacy of rice husk-derived biochar enhanced with iron and aluminium oxide...

Effect of Superheated Steam Pretreatment on Cooking, Functional, Structural, and Nutritional Properties of Millet-Based Rice Analogue See

The present study investigated the effect of superheated steam (SS) pretreatment on the functional, cooking, nutritional, and structural properties of a millet-based rice analogue (MBRA). SS pretreatment was applied at temperatures of 120, 140, and 160°C for treatment times of 10, 20, and 30 min prior to extrusion processing. The produced MBRA samples were evaluated for hydration behavior, cooking quality, texture, pasting properties, microstructure, crystallinity, and nutritional characteris...

Conservation Beyond Formal Institutions: Safeguarding Mangar Bani through Cultural Identity and Traditional Knowledge Systems See

Culturally governed landscapes are an important yet often overlooked part of human-environment interactions, particularly in rapidly urbanizing and ecologically vulnerable regions. Sacred groves, as areas of cultural protection, are a concrete way to demonstrate how cultural values, beliefs, and traditional practices shape ecological outcomes that lie beyond conventional conservation approaches. This study takes a closer look at Mangar Bani, a Sacred Grove in the Aravalli Mountains of Norther...

Engineering High-Performance Gas Sensors via MXene-Driven Synergistic Perovskite Heterostructures See

MXene (Ti3C2Tx) has emerged as a highly promising functional material, offering high conductivity, hydrophilic surface terminations, and a large surface-to-volume ratio, facilitating rapid charge transport and abundant active sites, which makes them ideal for real-time sensing applications. Despite these advantages, Ti3C2Tx nanosheets naturally restack through van der Waals interactions. This structural collapse reduces the accessible surface area and limits gas adsorption efficiency, ultimat...

Synthesis of Tender Coconut Waste-Derived Biochar for The Adsorption of Cadmium Ions from an Aqueous Solution See

Waste generation from the agricultural and forest processing sectors impacts macro- and micro-ecosystems. Utilization of waste for the synthesis of new products leads to sustainable waste management. By thermal degradation in an anoxic environment, these wastes are converted into a stable form of carbon termed biochar. Biochar is a carbon-rich, porous structure product that is inexpensive to produce and can be utilized for the adsorption of heavy metals from wastewater. Coconut (Cocos nucifer...

Application of Machine Learning Approach for Medicine Recommendation in Healthcare System See

Healthcare is a very crucial domain that should evolve to meet the growing demands of the population and unpredictable global crisis. In challenging situations, such as pandemics, natural disasters, or other medical emergencies, patients may not receive proper treatment due to high demand. Recognising this shift, we propose a machine learning-based medicine recommendation system that allows users to input symptoms to detect possible diseases, receive basic descriptions, and obtain correspondi...