Category Archives: Uncategorized

Authors: Dr. Ankit Gangwar, Research Scholar Ruchi Sharma

Abstract: Vocabulary is an essential part of second-language learning, but young ESL learners may find traditional memorisation-based vocabulary learning difficult. Activity-Based Learning (ABL) provides a learner-centred approach through games, storytelling, role-play, pictures, songs and real-life activities. This paper examines the role of ABL in developing vocabulary among young ESL learners through a qualitative review of relevant literature. The findings suggest that ABL can improve vocabulary recognition, recall, retention and meaningful use while increasing learners’ motivation and participation. However, effective ABL requires clear learning objectives, repetition, teacher guidance, suitable activities and proper assessment. The study concludes that ABL is a useful approach for vocabulary development when activities are age-appropriate, purposeful and connected to specific vocabulary outcomes.

DOI: https://doi.org/10.5281/zenodo.23060512

Published by: vikaspatanker

Authors: Dasari Vinay, Assistant Professor A. Ram Kumar

Abstract: Nowadays concrete plays a major role in the human life. It is the prominent material to the construction industry and also usage of concrete became second only to water around the world. In this, cement is the most commonly used as a binding material in the concrete industry. But usage of concrete is enormously increased to produce structural elements. In this, cement is the most promising binding material to produce conventional concrete. But there are many environmental issues are associated with producing cement. Portland cement (PC) production has resulted in high amount of CO2 emissions into the atmosphere and PC is one of the major energy-intensive material and it requires huge amount of natural resources i.e; limestone. In the present scenario emission of greenhouse gas contributes about 1.5 billion tons annually or about 7% of the total greenhouse gas emissions to the earth's atmosphere due to PC production. However, many efforts have been started in the construction industry to overcome this by utilizing industrial by products and developing substitute binders in concrete. To preventing this there must be study needs to focus to develop alternative and sustainable material towards cement free concrete. Which can be replaced by supplementary binder materials in the form of silica fume, metkaolin, rice-husk ash, GGBS and fly ash? Geopolymer concrete is an inorganic polymer aluminum silicon Acid material and it was introduced by the French chemist J. Davidovits in the last century in the late 1970. Geopolymer generated at the same time as excited by alkaline substances, while consuming one of these various industrial wastes have the characteristics of low energy consumption and low resource consumption. Geopolymer has received much attention in recent years as an environmentally friendly material. Geopolymer materials need a broad range of naturally available industrial bi-products. Geopolymer concrete has advantages like; simple process, Inexpensive, low energy consumption, high mechanical performance and durability, etc. The broad application development prospect has always been an internationally active research material.

DOI: https://doi.org/10.5281/zenodo.23057252

Published by: vikaspatanker

Authors: Stephen Ovie Ewagba, Orute Destiny, Ezekiel O. Agbalagba, Alex Orduvwe Teghware, Erienu Obruche Kennedy

Abstract: This study evaluated the radiometric characteristics of soils from selected OML 30 oil fields and host-community environments in Delta State using natural radionuclide measurements and the RESRAD-BIOTA code. The activity concentrations of ^40K, ^226Ra and ^232Th were determined for the investigated soil samples, while radium equivalent activity (Raeq) was used to provide an integrated measure of the concentrations of the radionuclides. The results showed considerable spatial variation across the studied oil fields. ^40K concentrations ranged from 219.25 to 553.65 Bq kg⁻¹, ^226Ra from 26.20 to 55.30 Bq kg⁻¹, and ^232Th from 17.35 to 38.10 Bq kg⁻¹. Kokori recorded the highest concentrations of all three radionuclides, whereas Otorogu generally recorded the lowest values. The calculated Raeq values ranged from 69.60 to 152.40 Bq kg⁻¹ and were below the reported recommended value of 370 Bq kg⁻¹. RESRAD-BIOTA version 1.8 was subsequently applied to estimate external, internal and total radiation doses to terrestrial plants and animals. The modeled results demonstrated spatial differences in biota dose, with Kokori recording among the highest total doses. Overall, the findings provide evidence of spatially variable natural radioactivity in the investigated oil-field soils and establish a radiometric baseline for continued environmental monitoring.

DOI: http://doi.org/10.5281/zenodo.23056985

Published by: vikaspatanker

Authors: Dr. Sameer Pawar

Abstract: Generative Artificial Intelligence (GenAI) is rapidly changing marketing management by enabling automated content creation, large-scale personalisation, customer interaction, idea generation, campaign optimisation, and data-supported decision-making. The present study examines the influence of Generative AI adoption on marketing productivity and investigates the relationship between AI-enabled content personalisation and customer engagement. The study adopts a quantitative, cross-sectional research design. Primary data were modelled from 400 marketing professionals, managers, digital marketing specialists, entrepreneurs, and related business professionals using a structured five-point Likert-scale questionnaire. Descriptive statistics were used to assess perceptions of GenAI adoption, marketing productivity, content personalisation, and customer engagement. Two hypotheses were tested using simple linear regression. The illustrative results indicate that Generative AI adoption has a statistically significant positive relationship with marketing productivity, while AI-enabled content personalisation significantly influences customer engagement. The findings suggest that GenAI can contribute to marketing productivity through faster content development, reduced repetitive work, improved idea generation, and campaign support. At the same time, the value of AI-enabled personalisation depends on relevance, timeliness, contextual fit, and responsible use of customer data. The study contributes to the emerging Indian literature on GenAI in marketing by integrating productivity, content personalisation, and customer engagement into an empirical framework.

DOI: https://zenodo.org/records/23054642

Published by: vikaspatanker

Authors: Mohammad Nazmul Huda

Abstract: Evaluating state-owned enterprises (SOEs) strictly through conventional commercial accounting metrics often fails to capture their broader welfare impacts in developing nations. The state-owned sugar sector in Bangladesh, managed by the Bangladesh Sugar and Food Industries Corporation (BSFIC), frequently faces criticism due to persistent operational deficits. However, this sector operates primarily as a socio-economic anchor across rural landscapes. This paper empirical-conceptually measures the non-market “Social Value” generated by state-owned sugar mills across four critical dimensions: public education, community healthcare, rural infrastructure, and regional agricultural development. Utilizing a Social Return on Investment (SROI) logic and institutional analysis, the study demonstrates that the socio-economic externalities—including climate-resilient farming, subsidized medical services, rural transport networks, and micro-economic liquidity—substantially offset recorded financial losses. The paper argues for an integrated evaluation framework that embeds social accounting into public sector performance appraisals to safeguard rural livelihoods and advance the UN Sustainable Development Goals (SDGs).

 

 

Published by: vikaspatanker

Authors: Pratik Agarwal

Abstract: The securities market forms the backbone of capital formation and resource allocation in a modern economy, channelling household savings into productive investment while creating avenues for wealth generation. In India, this market has undergone considerable structural and regulatory transformation over the past three decades under the oversight of the Securities and Exchange Board of India (SEBI). This paper presents an analytical study of the Indian securities market, examining its institutional structure, its evolving regulatory architecture — including the proposed Securities Markets Code, 2025 — and the unprecedented surge in retail investor participation, with demat accounts rising from roughly 3.6 crore in 2019 to over 19 crore by 2025. The study further examines the regulatory response to algorithmic and technology-driven trading, with particular reference to SEBI's 2025 framework governing retail participation in algorithmic trading. Drawing on regulatory publications and secondary market data, the paper identifies key challenges relating to investor protection, market integrity and technological risk, and concludes with observations on the likely future trajectory of India's capital markets.

DOI: http://doi.org/10.5281/zenodo.23008007

Published by: vikaspatanker

Authors: Faaiq Mushtaq

Abstract: Silent data corruptions or SDCs are computational errors that produce a wrong but plausible result with no crash, no exception and no flag of any kind. For decades the working assumption in systems design was that a tested processor either computes correctly or fails loudly. Recent measurement studies from Meta, Google and Alibaba have overturned that assumption: mercurial cores that occasionally miscompute at rates far above what fault injection studies predicted are now a documented, recurring phenomenon in hyperscale fleets. This paper argues that the drivers behind SDCs, transistor density, lower operating voltages and sheer deployment scale, are structural rather than transient and that the problem will intensify over the next decade as workloads move toward quantized, low precision AI training and toward radiation exposed space computing. Because full hardware correction is prohibitively expensive and the space of possible fault sites is too large to fully screen, this paper surveys algorithmic fault tolerance, particularly checksum based approaches descended from classical ABFT, as a lightweight, mathematically grounded complement to hardware mitigation. It closes by proposing a concrete thesis direction: characterizing when a modest, bounded performance cost is worth paying to catch a corrupted core before its errors propagate through a distributed system or a multi week training run.

Published by: vikaspatanker

Authors: Dr. K. Himabindu, Faruk Ahmed, Pankaj Kumar Bara, Krishna Kumar Yadav, Soham Parmar

Abstract: Healthcare chatbots are gradually moving beyond simple question-and-answer systems by bringing together large language models, information retrieval, multimodal analysis, and human oversight. This paper explores the open-source Multi-Agent Medical Assistant as a safety-focused tool for providing medical information. The system includes separate components for input screening, conversation, retrieval-augmented generation (RAG), web-based evidence retrieval, medical image processing, response generation, and human validation. Rather than attempting to provide autonomous diagnoses, the system emphasizes evidence-based responses, transparent communication of uncertainty, and human review.

Published by: vikaspatanker

Authors: Atharv Sharma

Abstract: In this paper, we propose Adaptive Trust-Based Continuous Authentication Framework (ATCAF), a lightweight architecture to extend Zero Trust principles with continuous risk aware authentication. The proposed framework does not make a single authentication decision at login but continuously calculates a dynamic trust score by combining multiple contextual security indicators such as device trust, behavioral consistency, location confidence, network reputation and historical user reputation. Access decisions are made in real-time based on the continuously evolving trust score, enabling adaptive responses such as seamless access, step-up multi-factor authentication, privilege reduction or session termination. The paper describes the system architecture, mathematical trust model, continuous evaluation workflow, implementation methodology, public evaluation datasets, security analysis and experimental design to evaluate authentication accuracy, False Acceptance Rate (FAR), False Rejection Rate (FRR), Equal Error Rate (EER), trust score stability and response latency . The framework we propose aims at improving identity security, while maintaining usability and reducing unnecessary authentication interruptions.

DOI: https://zenodo.org/records/22976298

Published by: vikaspatanker

Authors: Vishal Sankhyan, Dr.Rajesh Chauhan, Dr. Akshay Bhardwaj

Abstract: Green computing refers to the environmentally responsible design, manufacture, operation, and disposal of computing systems and information technology (IT) infrastructure. The rapid growth of data centers, cloud computing, artificial intelligence, Internet of Things (IoT) devices, and other digital technologies has increased energy consumption and electronic waste. Green computing seeks to reduce the environmental impact of IT while maintaining performance, reliability, security, and economic efficiency. This research paper examines major approaches, techniques, and implementation strategies for green computing. The study discusses energy-efficient hardware, virtualization, server consolidation, cloud computing, power management, green software development, efficient data centers, sustainable networking, renewable energy, and electronic-waste management. It also presents an implementation framework for measuring and reducing the energy consumption of computing infrastructure. The paper identifies important challenges, including initial investment, compatibility, performance requirements, lack of awareness, measurement difficulties, and e-waste management. Finally, it discusses future directions such as artificial intelligence-based energy optimization, edge computing, sustainable data centers, and carbon-aware computing. The study concludes that combining hardware, software, infrastructure, and organizational strategies can significantly improve the sustainability of modern information technology.

Published by: vikaspatanker