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...

Investigation on DNMT1 Orchestrated-G2/M Transition and Chromatin Segregation by Interaction with MKI67 and CDK1 in Lung Adenocarcinoma Cells See

Background: According to the prevailing views, the chromatin organization pattern influences the microenvironment of a gene within a chromosome; transcription factors and epigenetic modifications of chromatin dictate the possibility of its expression and progression through the cell cycle. Gene expression mechanisms and their relationship with cell cycle dynamics remain unexplored till today. The theoretical background and conceptual logics suggest that epigenetic modifications, specifically ...

Liquid-Liquid Phase Separation Links Cholesterol Biosynthesis Inhibition to DNMT1-UHRF1 Condensate formation and Epithelial-to-Mesenchymal Transition Reversal in Colon Adenocarcinoma Cells See

Background: Over the last two decades, liquid-liquid phase separation (LLPS) has emerged as a state-of-the-art biochemical phenomenon in modern cancer research, precisely enabling spatio-temporal coordination across biochemical processes crucial for epigenetic choreography associated with gene expression. Among several epigenetic alterations, DNA methylation is the most crucial reversible DNA modification, which dictates the possibility of gene expression and chromatin organization. Methods: ...

Deciphering the Genotoxic Mechanisms of Plumbagin: A Natural Product Lead for Translational Targeting of DNA Damage Pathways in Lung Cancer See

Natural products continue to play a pivotal role in anticancer drug discovery. In this study, we investigated the mechanistic and translational potential of plumbagin, a bioactive naphthoquinone isolated from Plumbago zeylanica, in non-small cell lung cancer (NSCLC). The objective was to delineate whether plumbagin induces DNA damage through direct DNA interaction or via alternative molecular mechanisms, and to evaluate its potential as a genotoxic lead compound. Cytotoxicity assays demonstra...

Advanced Control of Single-Phase Grid-Tied SPGU-BSU Systems for DC Offset Mitigation and Power Quality Enhancement See

The power system faces several difficulties when a PV array and nonlinear household loads are connected to the main stream. It affects both power quality and grid synchronization during grid-connected and stand-alone modes. Furthermore, the addition of more power electronics devices affects both the grid voltage and current. To mitigate the above issues, this article proposes an integrated setup of a solar power generation unit (SPGU) and a battery storage (BS) system as a distributed energy ...

Green Extraction of High-Quality Protein from Cassava Leaves Using Deep Eutectic Solvents: Nutritional and Functional Comparison with Alkaline Extraction See

Cassava (Manihot esculenta) leaves, rich in protein content ranging from 20–30% and abundant in essential amino acids (EAAs), represent a valuable and sustainable source of plant-based protein alternatives. Deep eutectic solvents (DESs) represent a promising green alternative to conventional alkaline extraction- isoelectric precipitation (AE-IP) for recovering plant proteins with minimal denaturation. In this study, eight different DESs formations were evaluated for extracting protein from de...

Enhanced Preservation of Chicken Meat Using Curcuma Extract-Loaded Gelatin/Chitosanlactate Films Reinforced with Cellulose Nanoparticles See

This study presents the development of multifunctional biocomposite films consist of gelatin (GE), chitosan-lactate (CL), curcuma ethanolic extract (CEE), and cellulose nanoparticles (CNP) for potential application in active food packaging. The incorporation of CNP at different concentration aimed to reinforce the structural network within the polymer matrix and enhance the thermal, physicochemical, barrier, and functional properties of the films. The addition of CNP increased the compatibili...

Low-Frequency Noise as A Probe of Microscopic Disorder in CVD-Grown Graphene See

We investigate low-frequency resistance fluctuations (1/f noise) in large-area graphene synthesized by chemical vapor deposition (CVD). The magnitude of the noise in CVD-grown graphene is found to be several orders of magnitude higher than that typically observed in mechanically exfoliated single-crystal graphene. This enhanced noise level is attributed to the presence of structural disorder inherent to polycrystalline CVD films, including grain boundaries and defect states. Temperature-depen...

UCRS: Uncertainty-Calibrated Region Sampling for Real-Time Small Object Detection in High-Resolution Images See

The detection of objects in high-resolution (HR) images, particularly those taken by surveillance systems or unmanned aerial vehicles (UAVs), appears to be a significant computational bottleneck. Additionally, I observe that when traditional methods process the entire input domain uniformly, the inherent sparsity of objects in backgrounds results in a great deal of redundancy. The Uncertainty-Calibrated Region Sampling (UCRS) framework is presented in this paper. The inefficiency is addressed...

Plasma-Engineered Plantain Peel (Musa paradisiaca) Starch Films: Enhancement of Mechanical, Thermal and Barrier Properties See

Food packaging is an essential component to protect, preserve and handle the food from extrinsic factors. Plastic has been used as a packaging material because of its durability, versatility, light weight, cost-effectiveness and water resistance properties. There are different types of plastic such as high-density polyethylene (HDPE), low density polyethylene (LDPE), polypropylene (PP), polystyrene (PS) and polyethylene terephthalate (PET). However, the detrimental impact of synthetic plastic...

Bio-Based Nanocomposite Films Prepared from Tamarind Seed Xyloglucan and Seed Coat–Derived Carbon Dots See

Since India is the major tamarind producer in the world, the current research focuses on tamarind kernel xyloglucan (XG) as a biodegradable polymer backbone in the fabrication of multifunctional nanocomposite films. The tamarind seed coat biomass was converted into carbon dots (CDs) and added into the XG matrix in different concentrations (1-5% w/w) to enhance functionality of films. The fluorescence spectroscopy was used to characterize the synthesized CDs. The structural, mechanical, barrie...