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  1. Welcome to IR @ NIT Rourkela

Recent Submissions

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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...

Reduction Kinetics Study of Mill Scale Waste Using Low-Grade Thermal Coal for The Production of Pure Iron

Mill scale, a by-product from hot rolling processes, offers high iron content but poses handling and recycling challenges due to its fine particle size and tendency to oxidize. This present study investigates the reduction behavior of mill scale pellets in both carbonaceous (low-grade thermal coal) and non-carbonaceous atmosphere (N2 and H2) using as reductant, emphasizes reduction efficiency, microstructural and phase evolution, and reaction kinetics. Mill scale, a major iron oxide-rich by-p...

Development of Oxide Dispersion Strengthened Mo Alloys by Mechanical Alloying and Hydrogen Sintering

Molybdenum-based alloys are highly valued for their elevated melting points, excellent mechanical properties like yield strength, higher thermal conductivity, which make them crucial for high-temperature application such in aerospace, defence and nuclear sectors where maintaining strength and structural integrity is very essential. Nevertheless, Mo also faces some drawbacks, such as brittleness at room temperature and rapid oxidation at elevated temperatures, which can lead to failure, necess...

A Study on Object Detection and Tracking by Millimeter Wave FMCW Radar

This paper presents a complete FMCW radar based target tracking system using the TI AWR1843 mmWave sensor and DCA1000EVM. Real radar data captured through mmWave Studio, along with synthetically generated FMCW signals, are processed in MATLAB for controlled evaluation. A walking human target is tracked using range, Doppler, and angle estimation, followed by alpha-beta and Kalman filtering to obtain position, velocity, and trajectory. Performance metrics such as range RMSE, angle RMSE, Cartesi...

Observation of a Second Dirac Point in A Graphene/Superconductor Bilayer

Two-dimensional (2D) materials have attracted vast research interest since the breakthrough discovery of graphene. One major benefit of such systems is the ability to tune the Fermi level through the charge neutrality point between electron and hole doping. In this presentation, we show that single layer graphene coupled to the low-density superconductor indium oxide (InO) exhibits two charge neutrality points, each of them representing electronic regions in which the carrier density can be t...

Statistical Inference of a Chen Lifetime Competing Risks Model Based On Improved Adaptive Type-II Progressive Censored Data

This paper studies different failure modes for endurance of insulation of electrodes under high voltage stress. A competing risks model is studied under improved adaptive type-II progressive censoring scheme (IAT-II PCS) referring to this phenomena. Two independent competing causes of failure are considered where lifetime of these failures are assumed to follow Chen distribution with unknown scale and shape parameters. Maximum likelihood estimators (MLEs) of the unknown parameters are derived...

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National Institute of Technology- Rourkela 5517

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Author
  • 165 Mishra, S C
  • 137 Roy, G K
  • 114 Ray, B C
  • 114 Sahoo, Bibhudatta
  • 107 Mahapatra, K K
  • 88 Panda, G
  • 78 Patra, S K
  • 72 Satapathy, Alok
  • 70 Behera, S K
  • 63 Dash, P K
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