Analysis of the Structure and Dynamics of Monsoon Depression using High Resolution ARW-WRF Model See

Monsoon depressions (MDs) are the significant synoptic systems over the Indian monsoon region, accounting for a substantial fraction (two-thirds) of the seasonal rainfall and associated hazards. Despite their importance, systematic evaluations of MD structure in high-resolution NWP models remain limited. Here, we simulated ten MD cases using an ARW-WRF model (resolution d01 : 13.5, d02 : 4.5 km nested domains) and evaluated storm-centric composites against ERA5 reanalysis and GPM across 24–60...

Development of Sustainable Adsorbent for Cationic Dye Removal: A Fresh Start for Waste Valorization See

Industrial wastewater treatment has been a serious global issue in recent decades, and waste management necessitates the invention of new, costeffective method. There is a massive demand for potential wastewater purification methods using eco-friendly, low-cost materials. Adsorption is the most affordable, reliable, and quickly operational wastewater treatment method. In the 21st century, a rising demand for environmentally friendly porous geopolymer adsorbents may be produced from industrial...

Preparation and Characterization of Clay-Based Geopolymer for Adsorptive Dye Removal See

Clay based adsorbents offer a promising solution for the remediation of dye contamination in wastewater This study investigates metakaolin based geopolymer adsorbents for removing cationic dye from aqueous solutions Geopolymer adsorbents were synthesized by varying the Na₂SiO ₃/ NaOH content to achieve different SiO ₂/ Na₂O ratios 1 3 to 1 5 in the activator and by adjusting the metakaolin to alkali activator ratio to produce batches with distinct SiO ₂/ Al₂O ₃ compositions The impact of thes...

The Green Persuasion: Unravelling the Effect of Sustainable Advertisement on Young Consumers See

As the growing concern for environmental protection and sustainable living continues to rise, there is a notable shift occurring in consumption patterns. To meet the needs of present and future generations, it is crucial to consume in an environmentally friendly and responsible manner. The examination of sustainable consumption's influence on consumer behavior and the utilization of ecologically friendly products is increasingly garnering research interest. The realms of advertising and media...

Interpreting Women’s Histories: Memory, Identity and Agency in Anuradha Roy’s Selected Novels See

This paper offers a comprehensive reading of Anuradha Roy’s fiction through the lens of feminist memory studies to trace how memory undergoes an act of counter-history or reclamation of women’s silenced lives. It examines three novels—An Atlas of Impossible Longing (2008), Sleeping on Jupiter (2015), and All the Lives We Never Lived (2018), emphasising that memory is not a recollection of static experiences, but rather it is an affective practice that is always situated in spaces, objects, an...

Fabrication and Characterization of Aluminium Metal Matrix Composite Using Ultrasonic-Assisted Stir and Squeeze Casting See

This study focuses on fabricating and characterising an aluminium metal matrix composite (Al-MMC) reinforced with alumina and fly ash cenosphere, utilising ultrasonic-assisted stir casting followed by squeeze casting. Scrap aluminium alloy wheels were repurposed as the matrix material, providing a sustainable and cost-effective manufacturing method that combines recycled aluminium with lightweight and high-strength reinforcements. The purity and chemical composition of both the matrix and rei...

Sustainable Catalysis: Methane Oxidation Over Non-Noble Metal Supported Catalysts See

The increasing global demand for energy, the depletion of fossil fuel reserves, and growing environmental concerns necessitate the exploration of alternative energy sources and the development of advanced technologies for the efficient utilization of natural gas and other fossil fuel derivatives. Despite efforts to transition toward renewable energy, fossil fuels continue to dominate the global energy landscape. Among them, natural gas stands out as the most economical option, possessing the ...

Tuning Electronic Structure of LaFeO3 for Efficient Oxygen Evolution Reaction See

Fuel cells and batteries are future energy conversion technologies that meet future energy requirements. These high energy density technologies depend on electrochemical reactions. Currently, perovskites are introduced in place of conventionally used materials to conduct electrocatalysis due to their cost effectiveness, chemical stability. The present work investigates the Oxygen Evolution Reaction (OER) of the Sr, Cu doped LaFeO3 Perovskite. The EDTA-citrateassisted solution combustion techn...

Urbanization-Driven Modifications to Pre-Monsoon Thunderstorm Rainfall over Delhi: Insights from Long-Term Observations and High-Resolution WRF Simulations See

Urbanization strongly influences local weather patterns, particularly during pre-monsoon thunderstorms, by altering precipitation distribution and intensity. This study conducts a long-term climatological analysis of pre-monsoon thunderstorm rainfall over Delhi using observational datasets and reanalysis products to explore spatial and temporal trends, as well as the role of urbanization in shaping the storm behaviour. The current results indicate that urbanization over Delhi tends to amplify...

Evaluation of Hydrographic Features in The Tropical Indian Ocean from CMIP and OMIP2 Models See

Coupled Model Intercomparison Project (CMIP) and Ocean Model Intercomparison Project phase 2 (OMIP2) models from the CMIP6 group were used in the current study to represent the annual mean biases of hydrographic features. OMIP2 models are ocean-only simulations, while the CMIP models are coupled ocean-atmosphere-land-sea ice simulations. These models are assessed against the observations in the Tropical Indian Ocean (TIO). This study found that many models from both CMIP and OMIP2 exhibited c...

Heterocycle Linked Ferrocenyl-Rhodamine System for Amyloid Fibril Inhibition Study See

Numerous processes like nucleation, oligomer association or dissociation, fibril maturation, aggregation and the creation of β-sheet enriched fibrillar structures are known as amyloids. This can be caused by amyloidogenic proteins tendency to misfold from their natural shape.1,2 The development and accumulation of insoluble fibrillar forms in tissue and organs contribute to neuropathic diseases including Alzheimer’s disease, Huntington’s disease, Parkinson’s disease and non-neuropathic condit...

Petrogenesis and Geochemical Signature of Gabbros and Plagiogranites from the Naga Hills Ophiolite, Northeast India: Evidence for Fractional Crystallization in a Back-Arc Setting See

The remnants of Neotethyan oceanic crust have been preserved in north-south trending Indo-Myanmar ranges as Naga Hills ophiolite. It is associated with gabbros and plagiogranites which are formed by sequential fractional crystallization of a basaltic parental magma. The grain size decreases from top to bottom exhibiting progressive differentiation. The gabbros and plagiogranites are show intergranular texture and have moderate SiO2 (49.50 to 56.37 wt.%) and Al2O3 (12.50-13.66 wt.%), high Fe2O...

From Competition to Collaboration: How Fintech Partnerships Transform Bank Performance in the Digital Age See

Purpose: In the era of rapid digital transformation, collaborations between traditional banks and fintech firms have emerged as a strategic response to innovation-driven disruption. This study investigates the impact of bank-fintech collaboration on the performance of Indian Banks moderated by bank risk-taking. Design/methodology/approach: The study utilizes unbalanced panel data from Indian banks over the period from 2015 to 2023. It employs a two-way fixed-effect regression model. Findings:...

Eco-Dynamics in the BRICS: Unleashing Environmental Governance, Green Innovation, and Natural Resource Rent for Environmental Quality See

Purpose: The purpose of this study is to investigate the dynamic interplay between environmental governance, green innovation, and natural resource rents in shaping environmental quality. by exploring this factor, the study seeks to provide actionable insights for policymakers to foster sustainable development, enhance environmental performance and address the pressing environmental challenge by emerging economics. Design/methodology/approach: The study utilizes data retrieved from Global Foo...

Uncertainty-Aware MPC Routing for UAV-Assisted VANETs using RNN-GANs See

The huge Internet of Things (IoT) that 6G envisions needs transmission systems that are smart, self-sufficient, and long-lasting. It’s hard to meet the strict Quality of Service (QoS) needs of future applications when there is a lot of movement and the network conditions are hard to predict, like Vehicular IoT (V-IoT). This study presents an AI-driven, cross-layer control architecture that uses dynamic aerial edge nodes (UAVs) to provide reliable data distribution. A Recurrent Neural Networkb...

Investigating The Indian Summer Monsoon Variability During the Mid-Pliocene Using CMIP6 Model Simulations See

The Indian Summer Monsoon Rainfall (ISMR) plays a critical role in agriculture, thereby significantly affecting the economy of India. Yet, there is a large spread in the ISMR variability for future projections (by the end of 21st century) as simulated by coupled general circulation models. Gaining insight into the variations of the ISMR during warm periods could enhance our ability to understand ISMR variability in the future. In this study, we have selected the mid-Pliocene warm period from ...

Role of Multi-Scale Atmospheric Interactions in governing the Tropical Cyclone Movement over the Bay of Bengal See

Large-scale atmospheric variability, operating on sub-seasonal (10-90 days) to inter-annual (≥91 days) timescales, is known to influence the formation and intensity of tropical cyclones (TC) over the Bay of Bengal (BoB) region. Nevertheless, their role as individually or synergistically governing TC movement over the BoB region is less known. This study, using the Weather Research and Forecasting (WRF-ARW) model, investigates how the interaction of these modes of variability with the mean bac...

Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Detection See

Plant disease detection plays a vital role in precision agriculture by enabling early diagnosis and reducing crop losses. However, challenges such as complex backgrounds, class imbalance, and limited training samples often hinder the performance of standalone deep learning models. This paper proposes a hybrid deep learning framework that integrates five pre-trained Convolutional Neural Networks (CNNs) using a weighted ensemble strategy for multi-class plant disease classification. Laplacian s...

Thunderstorm Simulation Sensitivity to Cloud Microphysics in the IOLA Framework See

This study examines the sensitivity of thunderstorm simulations to the choice of cloud microphysics (MP) schemes in the recently developed Indian Ocean Land–Atmosphere coupled (IOLA) model. Four MP schemes currently supported in IOLA—Ferrier, WSM5, WSM6, and Thompson—were evaluated. The model allows telescoping nests, enabling simultaneous simulation of multiple events. Nested domains with horizontal resolutions of 9 km, 3 km, and 1 km were used to simulate thunderstorms occurring on the same...