A Quantum Framework for K Coloring of Graphs See

Graph coloring is a well-known NP-complete problem with applications in scheduling, register allocation, frequency assignment, and network optimization. Quantum computing offers the potential for polynomial or even superpolynomial speedups in certain problem instances, yet practical quantum graph coloring methods must carefully balance qubit resources, circuit depth, and constraint enforcement. We proposed a solver agnostic quantum framework for Kcoloring. Along with a novel encoding and eff...

Role of Oleic Acid in Mitigating the Iron-Induced Toxicity in Friedreich's Ataxia Cell Line Model See

Friedreich’s ataxia (FRDA) is an autosomal recessive neurodegenerative disorder caused by a GAA trinucleotide repeat expansion in the frataxin (FXN) gene, leading to decreased frataxin expression. Frataxin is crucial for iron–sulfur cluster assembly and mitochondrial health. Its deficiency results in mitochondrial iron overload, impaired respiratory chain function, and increased production of reactive oxygen species (ROS), creating a cycle of oxidative stress and iron toxicity. This, in turn,...

Asymmetric Impact of Renewable Energy Capital Market on CO2 Emissions: Revisiting the EKC in India See

Promoting sustainable development in India necessitates the integration of economic growth with environmental quality and the advancement of green finance. This study examines the existence of the Environmental Kuznets Curve (EKC) hypothesis along with the integration of capital market-based financial development of the renewable energy industry as an indicator of green finance. The Autoregressive Distributed Lag (ARDL) and its non-linear counterpart (NARDL) models are employed to assess the ...

Embedded Artificial Intelligence for Early-Age Concrete Strength Monitoring: A Scalable IoT System See

Real-time strength monitoring for pavement quality concrete (PQC), especially at an early age, is critical to determine the optimal time to open the concrete pavement to traffic. In the past, maturity method-based Internet of Things (IoT) enabled systems to have been developed commercially and by individual researchers. They rely on statistical models specific to a concrete grade and do not fully capture the material behaviour. This study aims to replace traditional regression-based IoT syste...

Dynamics of Renewable Energy, Natural Resources and Environmental Sustainability Nexus in Developing Countries: Catalysing The Moderating Role of Geopolitical Risk and Migration See

Over the decades, significant increases in migration, economic development, urbanisation, and population growth have contributed to higher levels of environmental degradation by increasing energy consumption, intensifying resource extraction, and straining natural resources in developing economies. Addressing these challenges requires a clean energy transition, sustainable urban planning and sustainable natural resources management. Considering this, this study explores the effects of migrati...

Investigating the Role of Greenfield Investment, Green Energy Transition and Ecological Governance Towards Green Growth in Emerging Economies See

Due to the detrimental environmental impacts, green growth provides a holistic and inclusive pathway toward achieving sustainable development goals, particularly by tackling the critical issues of climate change. Therefore, this study explores the role of stock market development (SMD), green energy transition (GET), Greenfield investment (GFI), ecological governance (EGO), and economic complexity (ECI) on green growth (GGR) across twelve emerging economies from 2003 to 2023. Utilizing advanc...

Pipeline Leakage Detection: By Employing the Euler-Bernoulli Beam Using an Iterative Algorithm with A Machine Learning Approach See

Pipelines play a crucial role in transporting liquids, gases, and slurries across extensive distances in sectors such as oil and gas, petrochemicals, and water treatment. However, factors like aging infrastructure, joint or seal failures, corrosion, and pressure fluctuations make pipelines vulnerable to leakage. The present work aims towards a simulation based supervised learning approach for a real time leakage monitoring system in pipelines using MATLAB Simulink with an embedded classificat...

A Modified Droop-Based Control Technique for Voltage Regulation of a Hybrid Energy Storage System Based DC-Microgrid See

The effective function of a hybrid energy storage system for a DC microgrid is noticeably influenced by factors such as variation in bus voltage,state-of-charge(SOC) and optimal power sharing.The centralized method of control is prevalent for achieving it.However,centralized method of control is prone to single points of failure,shows slow response due to delay in communication and is not cost-friendly.The paper explains an easy yet potential stratergy which is decentralized in nature.The vir...

Dynamic Analysis of Bolted Joint Rotor System Subjected to Multiple Nonlinearities See

Bolted joints are widely used in aero-engine rotors and gas turbines. The dynamic analysis of such joints is complicated to model due to the inherent nonlinearities due to stick-slip friction forces. The nonlinear behaviour included in assembled structures mostly depends on the interface properties. In several systems, the stator-rotor rub impact forces also arise due to several unbalance effects. In this paper, dynamic analysis of rotor bearing system with bolted joint disk system is present...

Attention-Driven U-Net for Improved Water Body Segmentation from Satellite Imagery See

Accurate segmentation of water bodies from satellite imagery is essential for sustainable water resource management, flood monitoring, and hydrological modeling. In recent years, many deep convolutional neural network (DCNN) based techniques have been developed for the purpose of water bodies segmentation. These models often suffer from issues such as class imbalance, poor land-water contrast in urban environments, and loss of fine boundary details, although they have significantly improved s...

Development of an Injectable Polyelectrolyte Complex and Bacterial Cellulose Hemostatic Sponge for Non-Compressible Wounds See

Severe blood loss during emergencies causes trauma, a decrease in oxygen level, dysfunctional organs, and can even lead to unexpected death. Therefore, among combatants and civilians, hemorrhage is a major concern. In case of irregularly shaped deep wounds, external pressure cannot be applied with pre-developed hemostatic agents (for example, tourniquets or cotton gauze). In this study, a hemostatic sponge developed from a polyelectrolyte complex and bacterial cellulose (PEC-C) with shape-rec...

Development of a Self-Expandable Injectable Hydrogel Foam for Non-Compressible Hemorrhage See

Background: According to reports, annually, around 1.5 million deaths are reported due to uncontrolled hemorrhage from traumatic injury globally, accounting for over 85%-90% of deaths on the battlefield and 30%-40% of deaths in the civilian setting. The first hour after trauma (golden hour), is largely responsible for the survival outcome. Existing hemostatic gauze, powder, bandages, fibrin sealants etc. have their limitations when applied to irregular or deep bleeding sites and may require c...

Green Synthesis of TiO2 Nanoparticles for Photocatalytic Dye Degradation See

The green synthesis of nanoparticles provides an environmentally suitable method without having any adverse impact on the environment, unlike conventional methods. Titanium dioxide (TiO2) has been considered as a photocatalyst, but its lower bandgap energy limits its photoactivity towards UV light. The benefit of green synthesis to prepare TiO2 significantly improves UV-light absorption and photocatalytic activity. This study aims to synthesize and characterize TiO2 nanoparticles using Vinca ...

Development of Multifunctional-Sprayable Protein Hydrogels as an Antiadhesive Barrier for Postoperative Tissue Adhesions See

Postoperative tissue adhesions are among the most frequent surgical complications, occurring in 60–90% of abdominal and pelvic operations and over 90% of gynaecological procedures. These fibrous bands form between organs or tissues following surgical trauma, causing pain, infertility, bowel obstruction, and complications during repeat surgeries. Current commercial formulations, including hydrogels, have major limitations to their clinical viability such as high cost, inadequate tissue adheren...

Photocrosslinkable Protein Based Hydrogels Enhancing the Scope of Cartilage Tissue Engineering See

Osteoarthritis (OA) is one of the most common degenerative joint diseases in elderly people, showing the characteristics of the progressive deterioration of articular cartilage, leading to inflammation, pain, and reduced mobility. The avascular and aneural nature of cartilage sets the major challenge in self-healing process. Conventional treatment procedures like autologous cell implantation (ACI), microfracture techniques and other methods fail to completely regenerate healthy articular cart...

All-in-One Solar-Activated MXene@CuS Membrane for Advanced Water Purification See

Sunlight-driven interfacial water evaporation (SDIE) represents a promising approach for the sustainable generation of clean water. While the majority of existing studies have aimed at enhancing water evaporation efficiency, relatively little emphasis has been given on addressing the enrichment of oil/bacteria pollution and evaporated organic pollutants, particularly volatile organic compounds (VOCs) in the collected distilled water, which remains a significant challenge in SDIE. In this work...

Design and Characterization of a Composite Bioink derived from Decellularized Liver Matrix for Liver Tissue Regeneration See

Liver transplantation remains the only curative option for end-stage liver failure, but its limitations necessitate alternative regenerative strategies. Three-dimensional (3D) bioprinting offers a promising approach, contingent on the development of bioinks that are mechanically stable, biocompatible, and capable of supporting hepatic function and cell growth. This study is aimed to design and characterize composite bioink incorporating gelatin(G), alginate(A), tannic acid (TA), eggshell memb...

Effect of Layer Thickness on Performance of Two-Layer Pervious Concrete Paving Mix: A Case Study See

This study investigates a two-layer pervious concrete (2L-PC) system designed specifically for low-volume rural roads with the dual goals of maximizing mechanical strength as well as hydraulic performance-two parameters otherwise having conflicting requirements in pervious pavement. Contrary to conventional single-layer systems, this approach utilizes two different aggregate sizes (19 mm and 9.5 mm) in different depth configurations to determine their effect on compressive strength, permeabil...

Development of Gelatin-Silk Fibroin Hydrogel Incorporated with Strontium-Doped Bioglass for Bone Tissue Regeneration See

Silk fibroin (SF) is a versatile biomaterial widely explored in tissue engineering due to its exceptional structural integrity, biocompatibility, and controllable degradation. Gelatin, derived from collagen, contains RGD (Arg-Gly-Asp) motifs that enhance cell adhesion, proliferation, and extracellular matrix deposition. Several bioinspired hydrogels present promising solutions for bone and cartilage regeneration, offering minimally invasive administration and adaptability to irregular defect ...