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  1. Welcome to IR @ NIT Rourkela

Recent Submissions

Continuous Miner Technology in India Over the Past Two Decades: A Review of Geotechnical Issues and the Way Forward

Continuous miner technology was introduced in India in 2002 at the Anjan Hill Mine, and the coal seam, situated at shallow depth below hilly terrain, was extracted satisfactorily. This technology attracts the mining professionals across India as it has emerged as a promising solution for enhancing underground coal production with safety. Over the past two decades, 57 continuous miner packages have been deployed in 41 out of 186 underground mines across Indian coalfields, at depths ranging fro...

Stability Assessment of Underground Structures under Overlying Goaf and Barrier Pillars during Mechanised Depillaring: A Field and Numerical Modelling Study

Underground extraction of multiple coal seams presents substantial strata control difficulties, particularly when the lower seam is mined using caving methods beneath weak or laminated interbur-den and panels developed in a staggered configuration. Interactions between adjacent seams can intensify ground pressure and trigger several geotechnical problems, such as roof and rib deterioration, coal bumps, floor heave, and pillar failure. This paper investigates a case of lower-seam ex-traction i...

Development of a Novel Mining Method for Coal Extraction at Higher Depth Using Continuous Miner Technology: A Perspective for Indian Coal Mines

The application of continuous miner technology in Indian coalfields has demonstrated satisfactory performance for coal extraction up to depths of approximately 300 m. Its deployment at depths exceeding 300 m in certain mines in India, such as Churcha RO underground mine of Coal India Limited, VK-7, Vakilpalli mine, and Shantikhani of Singareni Collieries Company Limited, has revealed significant strata control challenges, adversely affecting the stability of underground structures and the roo...

ST-GAT: A Spatio-Temporal Graph Attention Network For Sybil Attack Detection in VANETs

Sybil attacks are a major security threat in Vehicular Ad-Hoc Networks (VANETs). In this attack, a malicious vehicle creates multiple fake identities to mislead the network. Existing machine learning approaches analyze vehicles in isolation, failing to capture the spatial coordination characteristic of Sybil behavior. To address this, ST-GAT, a Spatio-Temporal Graph Attention Network, is proposed that models VANET snapshots as dynamic graphs for robust node-level classification. The proposed ...

Boundary Layer Flow and Heat Transfer in A Special Third-Grade Fluid Over a Shrinking Sheet with Magnetic Field and Radiation

This study investigates the boundary layer flow and heat transfer behavior of a special third-grade fluid over a shrinking sheet in the presence of a magnetic field and thermal radiation. The governing nonlinear partial differential equations are reduced to a system of coupled ordinary differential equations through Lie group analysis and appropriate similarity transformations. The resulting system is solved numerically using MATLAB’s boundary value solver to obtain similarity solutions. The ...

Polyphenol-Induced Structural Modifications of Potato Starch and Its Effect on Enzyme Inhibition and Digestibility

Dietary polyphenols are emerging as promising nutraceuticals for regulating postprandial hyperglycemia by modulating starch digestion and glucose absorption. This study investigated the inhibitory effects of naturally occurring polyphenols - tannic acid (TA) and gallic acid (GA)- towards potato starch digestion from the perspective of starch-polyphenol and enzyme-polyphenol interactions. Native potato starch was complexed with each polyphenol and characterized using X-ray Diffraction (XRD), F...

In-silico Kinetic Modelling of Polyphenol-Inhibited Starch Digestion in Diabetic Patients

Polyphenols are naturally occurring plant-derived secondary metabolites that play a significant role in regulating postprandial blood glucose levels by modulating carbohydrate digestion and absorption. Among these, flavonoids and phenolic acids have been extensively studied for their ability to reduce glycemic response through multiple mechanisms, including inhibition of digestive enzymes, reduction of oxidative stress, and modulation of glucose transport pathways. Given the increasing preval...

Rate Effects On Particle Breakage in Plane Strain Pile Sand Interaction

The rate of penetration plays a significant role in governing the behaviour of piles installed in crushable granular soils, although the underlying mechanisms are not yet fully understood. This study aims to investigate the influence of quasi-static penetration rates on the mechanical response of crushable sand using a rate-dependent constitutive modelling framework. A two-dimensional finite element approach is employed to simulate pile–soil interaction under controlled penetration velocities...

Surface Engineered Bimetallic Fe,Ni-MOF Based Nanohybrid for Photocatalytic Green H2 and Natural Benzaldehyde Production

Heavy consumption of energy devoted to reliance on fossil fuel sources, which resulted in a detrimental impact on the environment and health. These challenges can be effectively addressed through a sustainable-driven approach that prioritizes the utilization of visible light as a renewable energy source with green chemistry protocols for the production of H2 and value-added chemicals. MOF-based semiconductors are versatile photocatalysts with tunable band structure, abundant active sites, imp...

Role of Metal Nanoparticles as Artificial Chaperones in Modulating the Aggregation Propensity of β-Amyloid (Aβ40) Polypeptide

The abnormal cleavage of Amyloid Precursor Protein (APP), and the subsequent aggregation of the cleaved fragments, i.e. beta-Amyloid Polypeptides (Aβ40/42), are linked to the pathogenesis of Alzheimer’s disease (AD)(1). Although molecular chaperones of the proteostasis network look after the fragments and consequent aggregates, they become inefficient with age and stress that result in the accumulation of Aβ40/42 peptides(2,3). Herein, by combining different techniques, we report the impact o...

Symbolic Governance or Substantive Control? Financial Misconduct in Banking Institutions

Financial misconduct within banks shows a persistent tension between the formal adoption of governance mechanisms and their substantive capacity to prevent illicit practices. The study investigates whether corporate governance quality reduces financial misconduct in Indian banks, a context characterised by strong regulatory oversight, persistent concerns about misconduct, and the coexistence of private and public ownership. Following agency and fraud diamond theory, this study argues that gov...

From Pledge to Practice: How Commitment to Climate Change Shapes Banks’ Environmental Disclosure

The global pursuit towards net-zero has intensified the demand for corporate transparency, with environmental disclosure emerging as a cornerstone of accountability. While scholarly attention has traditionally gravitated towards high-emitting manufacturing sectors, the banking industry occupies a unique yet underexamined position in the climate arena. Banks, despite having negligible direct emissions, are substantially exposed to climate risk through their lending portfolios, i.e., Scope 3 em...

Multi-Vantage Point Observations of a High-Frequency Type II Radio Burst Caused by A Far-Side Flare Blast Wave

High-frequency (>500 MHz) solar Type II radio bursts are rare and are believed to be manifes-tations of coronal shocks produced by explosive solar surface phenomena, such as solar flares and coronal mass ejections (CME). However, the exact cause of high-frequency Type II bursts remains debatable. The high-frequency burst events, observed from the limb, present a sce-nario where a comprehensive multi-wavelength and multi-vantage point approach could help to pinpoint the exact cause. We present...

An Unusually Disappearing Solar Wind Condition Observed On Both Earth and Mars: Source Region and Its Impact

On a few occasions, when the solar wind density near L1 drops by two orders of magnitude for a period exceeding 24 hours, the phenomenon is known as a disappearing solar wind (DSW) event. On 23 December 2022, Solar Orbiter (SolO) and STEREO-A (STA), positioned near 1 AU, detected such a DSW condition with an unusually low solar wind density (Np < 1 cm−3). Two days later, on 25 December 2022, Earth and Mars also encountered the similar DSW condition (Np ∼0.1-0.4 cm−3). In the present study, we...

Fluorescent Quantum Dot Architectures: Multiplexed Detection of Biomarkers for Precision Healthcare Diagnostics

Early and accurate disease diagnosis remains a critical bottleneck in modern healthcare due to scarcity of precise and sensitive detection methods [1]. Carbon quantum dots(CD) present finest sensing platforms due to their exceptional photostability, biocompatibility, and surface-engineering versatility [2,3]. Herein, unique surface-engineered biosensors are introduced; Zn-CD@Eu, CD@Tb and LysoDot for multiplexed detection of DPA,UA, EP, PPi, lysosomal-microviscosity; possessing excellent bioi...

An Enhanced Deep Learning Framework for Breast Cancer Histopathological Image Classification

Accurate and timely identification of breast cancer (BC) is crucial for effective clinical decision-making and treat-ment planning. Histopathological image analysis provides valu-able information for BC diagnosis, although manual assessment is labour-intensive and subject to differences between observers. In this work, a deep learning-based framework is developed to automatically classify breast histopathological images from the BreakHis dataset. The framework leverages an EfficientNet-based ...

Strontium-Functionalized Titanium Nanotube Surfaces for Next-Generation Dental Implants

Dental implants are widely used for oral rehabilitation, however their long-term success is often compromised by inadequate osseointegration and peri-implantitis. Ti–6Al–4V is a commonly used implant material due to its excellent mechanical properties, corrosion resistance, and biocompatibility. Nevertheless, bacterial colonization and the release of alloying ions may trigger inflammation and impair bone healing. This work aims to develop a functionalized titanium surface featuring strontium-...

Synthesis and Characterization of Cellulose Nanocrystals from Cottonseed Hulls Using Acid Hydrolysis and Ultrasonication

Cottonseed hulls are abundant byproducts of the cottonseed oil industry and are rich in cellulose fibers (30-50 %). In this research, cellulose nanocrystals were synthesized from cottonseed hulls via acid hydrolysis followed by ultrasonication. We investigated two acid concentrations (50 % and 60 % (v/v)) and ultrasound amplitudes (30 % and 50 %) in the synthesis of cellulose nanocrystals. The effects of treatment conditions on the physical, thermal, and structural properties were assessed us...

Antidiabetic and Hematinic Potential of Millet-Based Rice Analogue in Streptozotocin- Induced Diabetic Rats

The present study investigated the antidiabetic and hematinic potential of a millet-based rice analogue (MBRA) in streptozotocin (STZ)-induced diabetic Wistar albino rats. Diabetes was induced using STZ (50 mg/kg body weight), and animals were divided into five groups, namely normal control (G1), diabetic control (G2), STZ + white rice (G3), STZ + metformin (G4), and STZ + MBRA (G5). MBRA was supplemented at 20 g/day, and its effects on body weight, urinary glucose, serum biochemical paramete...

A Hybrid Machine Learning based Approach for Adaptive Routing in Vehicular Ad-Hoc Networks

Vehicular Ad-Hoc Networks (VANETs) are the foun-dation of communication for the smart transportation of the future, but their efficiency is frequently hindered by the rapid change of topology and high mobility. An intriguing dilemma is that an effective routing process is affected by both fleeting topological transitions and high mobility. To mitigate the issues in this paper, a two step solution is proposed that integrates Machine Learning (ML) and Reinforecement Learning (RL). Initially, a ...

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National Institute of Technology- Rourkela 5743

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Author
  • 4 Tandon, Akanksha
  • 4 Tarai, Sangeeta
  • 4 Thakur, G
  • 4 Thakur, Rahul
  • 4 Tirupathi, Rakesh
  • 4 Tok, A I Y
  • 4 Tom, Geo
  • 4 Tripathy, Debi Prasad
  • 4 Tripathy, N
  • 4 Tripathy, Rachita
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Subject
  • 40 Deep Learning
  • 34 Fly ash
  • 32 Machine Learning
  • 32 SEM
  • 30 XRD
  • 26 Microstructure
  • 25 FTIR
  • 25 Mechanical properties
  • 23 OFDM
  • 22 IoT
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