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Blockchain Technology for Emerging Applications: A Comprehensive Approach
Blockchain Technology for Emerging Applications: A Comprehensive Approach explores recent theories and applications of the execution of blockchain technology. Chapters look at a wide range of application areas, including healthcare, digital physical frameworks, web of-things, smart transportation frameworks, interruption identification frameworks, ballot-casting, architecture, smart urban communities, and digital rights administration. The book addresses the engineering, plan objectives, difficulties, constraints, and potential answers for blockchain-based frameworks. It also looks at blockchain-based design perspectives of these intelligent architectures for evaluating and interpreting real-world trends. Chapters expand on different models which have shown considerable success in dealing with an extensive range of applications, including their ability to extract complex hidden features and learn efficient representation in unsupervised environments for blockchain security pattern analysis. 2022 Elsevier Inc. All rights reserved. -
A Study on Certain Topological Indices and Related Polynomials In Graphs
Topological indices are invariants of molecular graphs which are used for quantitative structure-property relationship (QSPR) or quantitative structure-activity newlinerelationship (QSAR) correlations. In this study, we have worked upon the bounds and exact expressions of certain specifc topological indices related with some graph newlineoperations. Further, we have determined the formulations of certain topological indices and co-indices for the total transformation graph. In addition, we have worked upon the reformulated forgotten index and obtained its exact expressions with respect to the transformation graphs and other graph product variants. We describe graph transformations, by means of which the reformulated forgotten index increases or decreases. Using these transformations, the trees, unicyclic and newlinebicyclic graphs extremal with respect to the index are characterized. We carried out newlinethe computation of equitable and non-equitable Zagreb and the relative equitable newlineand non-equitable Zagreb indices of certain chemical compounds like the polycyclic newlinearomatic hydrocarbons, the rhombus silicate, rhombus oxide and copper oxide networks using the equitable Zagreb polynomial formulations. As to demonstrate the application of our study, we have carried out the QSPR analysis of the anti-HIV and anti-Covid drugs with respect to the physico-chemical drug characteristics using the notion of Mand#8722;polynomial and topological indices, thus asserting that the indices taken under study are inherent units for the QSPR inspection of the drugs. -
Data Ingestion - Cloud based Ingestion Analysis using NiFi
Data Ingestion has been an integral part of Data Analysis. Bringing the data from various heterogeneous sources to one common place and ensuring the data is captured in the appropriate format is the key for performing any Big data task. Data ingestion is performed using multiple frameworks across the industry and they all have their own set of benefits and drawbacks. Apache NiFi is one popular ingestion framework which is used widely and does Ingestion effectively. Ingestion is performed on various sources and the data is generally stored in clusters or cloud storage. In this paper, we have done the File Data Ingestion using the NiFi framework on a local machine and then on two cloud-based platforms, namely Google Cloud Platform (GCP) and Amazon Web Services (AWS). The objective is to understand the latency and performance of the NiFi tool on Cloud-based Ingestion and provide a comparative study against the typical Data Ingestion. The entire setup was done on a local machine and two corresponding cloud platforms namely GCP and AWS. The findings from the comparative analysis have been compiled in a tabular format and graphs are created for easy reference. The paper places emphasis on the significance of NiFi's data ingestion performance on Cloud Platform and attempts to present it as a major activity on the data ingestion platform for Cloud Ingestion Solution. 2023 IEEE. -
A Systematic Review of Challenges, Tools, and Myths of Big Data Ingestion
Each sector of the digital world generates enormous data as human life continues to transform. Areas like data analytics, data science, knowledge discovery in databases (KDD), machine learning, and artificial intelligence depend on highly distributed data which requires appropriate storage in a data lake. Collecting the data from different heterogeneous sources and creating a single lake of data is called data ingestion. Ironically, data ingestion has been treated as a less important stage in data analysis because it is considered a minor first step. There are several misconceptions in the data and analytics domain about data ingestion. The survey employed in this research presents a list of significant challenges faced by information technology (IT) industries during data ingestion. The available frameworks are compared in terms of standard parameters that are set against the existing challenges and myths. The findings from the comparison are compiled in a tabular format for easy reference. The paper places emphasis on the significance of data ingestion and attempts to present it as a major activity on the big data platform. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
File Validation intheData Ingestion Process Using Apache NiFi
In the industries of today, development and maintenance of data pipelines is of paramount importance. With large volumes of data being generated across industries on a continuous basis, there is a growing need to process and store this ingested data in a fast, and efficient manner. Apache NiFi is one such tool which possesses crucial capabilities that can be used to enhance, modify, and automate data pipelines. However, automation of the ingestion process creates certain inherent issues which, without being resolved, tend to be detrimental to the entire ingestion process. These issues vary in nature, ranging from corrupted data to changes in the file schema, to name a few. In this paper, a solution to this problem is proposed. By exploiting Apache NiFis custom processor development capabilities, problem-specific processors can be designed and deployed which can ensure accurate validation of the ingestion process on a real-time basis. To demonstrate this, two processors were developed as a proof-of-concept, which tackle specific file-related validation issues in the ingestion processthat of the file size, and, the ingestion frequency. These custom-built processors are designed to be inserted into the pipeline at key points to ensure that the ingested data is validated against certain standards and requirements. Having successfully demonstrated its capabilities, the paper presents the exploitation of Apache NiFis custom processor capabilities as a potential way forward to resolve the plethora of ingestion issues in industry, today. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
AI-driven decentralized finance and the future of finance
In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively. With a focus on regulatory challenges, ethical considerations, and emerging trends, this book teaches individuals and organizations how to harness the power of AI in finance. By fostering interdisciplinary collaboration and offering forward-thinking perspectives, the book equips readers with the knowledge and tools needed to navigate the complexities of the digital age. Through this comprehensive exploration, AI-Driven Decentralized Finance and the Future of Finance not only offers solutions to current challenges but also paves the way for a more inclusive, sustainable, and innovative future for finance. 2024 by IGI Global. All rights reserved. -
Global Peace in Virtual World-Dispute Settlement Through on Line Resolution
SPC ERA International Journal of Business and Management, Vol-2 (3), pp. 1-3. ISSN-2347-9647 -
Non-Recombinant Mutagenesis of Bacillus mojavensis CUIE1819 for Hyper Production of Lipase and Treatment of Polluted Lakes
Microorganisms that degrade oil contribute significantly to the bioremediation of polluted lakes. Many microorganisms synthesize lipases, which are commercially significant. In the present study microorganisms producing extracellular lipase were isolated from various polluted lakes in Bangalore by using tributyrin agar. A lipase assay was done to determine the most efficient lipase-producing organism, which was then named Bacillus mojavensis CUIE1819 based on 16srRNA sequencing. After UV irradiation, the selected immobilized organisms were used to treat the lake water samples. 2022, Association of Biotechnology and Pharmacy. All rights reserved. -
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Effectiveness of Classroom Interaction on English Language Production in Tamil Medium Schools in Coimbatore
The research study emphasized the importance of classroom interaction (CI) in English language classes for language learning among second language learners of English based on the interaction approach to language learning. The present study attempted to address the problem of students entering the tertiary level of education with dissimilar levels of English language proficiency due to the inequity in English language education among various types of schools in India. newlineThe main purpose of the study was to facilitate classroom interaction (CI) for newlineEnglish language learning in the context through the development of an Interactive Hour module and thereby providing opportunities for disadvantaged learners to be exposed to a graded target language and enabling them to produce the target language inside classroom spaces with corrective feedback on language use. The research was carried out in two phases using mixed methods research design in government-aided Tamil medium schools in the district of Coimbatore, newlineTamil Nadu, India. Phase I of the study, which was majorly qualitative in nature, was conducted to establish the need for the study in the context. It was aimed to Systematically present the actual teaching and learning scenario of English language classrooms in government-aided schools in Tamil Nadu in comparison to what is mentioned newlinein the national and state education policy notes and official documents related to newlineEnglish language teaching. The major objectives of phase I of the study were to newlineunderstand the pedagogic goals of English language teachers and their classroom newlineinteractional awareness and to observe and evaluate the nature and extent of classroom interaction in English language classes in the context of language policy and planning. -
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Synergistic effects of CuO/TiO2-chitosan-farnesol nanocomposites: Synthesis, characterization, antimicrobial, and anticancer activities on melanoma cells SK-MEL-3
The current investigation focuses on synthesizing copper oxide (CuO)-titanium oxide (TiO2)-chitosan-farnesol nanocomposites with potential antibacterial, antifungal, and anticancer properties against Melanoma cells (melanoma cells [SK-MEL-3]). The nanocomposites were synthesized using the standard acetic acid method and subsequently characterized using an X-ray diffractometer, scanning electron microscope, transmission electron microscopy, and Fourier transform infrared spectroscopy. The results from the antibacterial tests against Streptococcus pneumoniae and Stapylococcus aureus demonstrated significant antibacterial efficacy. Additionally, the antifungal studies using Candida albicans through the agar diffusion method displayed a considerable antifungal effect. For evaluating the anticancer activity, various assays such as MTT assay, acridine orange/ethidium bromide dual staining assay, reactive oxygen species (ROS) generation assay, and mitochondrial membrane potential (MMP) analysis were conducted on SK-MEL-3 cells. The nanocomposites exhibited the ability to induce ROS generation, decrease MMP levels, and trigger apoptosis in SK-MEL-3 cells. Collectively, the findings demonstrated a distinct pattern for the synthesized bimetallic nanocomposites. Furthermore, these nanocomposites also displayed significant (p < 0.05) antibacterial, antifungal, and anticancer effects when tested on the SK-MEL-3 cell line. 2023 Wiley-VCH GmbH. -
Nanostructured ZnCo2S4@metal organic frameworks composite for supercapacitor by ultrasonication supported hydrothermal reaction
Electrode materials for supercapacitors, sensors, and battery applications were frequently manufactured using the chemistry of metal organic framework nanostructured materials. These materials have three-dimensional networks between organic linkers and metal precursors thanks to diverse chemical alterations. Due to their enhanced surface characteristics, porous nature, and strong connecting organic molecules for numerous possible applications, MOFs have a wide range of uses. In this study, we used a sonicated enhanced hydrothermal reaction to fabricate ZnCo2S4 and ZnCo2S4 on the metal organic framework composite materials. Raman, FTIR, XRD, XPS, SEM, and SEM-EDS tests were utilized to confirm the composite's structural and morphological features. With 1 M KOH electrolyte, composite electrodes for supercapacitor fabrication were produced. The composite electrodes have a stability under cycles count of 5000 and a capacitance of 550 F/g at a density of 1 A/g. 2024 Elsevier B.V. -
Calcination process of porous metalorganic frameworks derived from nickel sulfide composites for supercapacitor and computer vision for investigating the porosity-electrochemical correlation
The utilization of metalorganic framework nanostructured electrode materials in supercapacitors and sensor applications is achieved by various chemical methods. In this study, we create NiS and NiS@MOF-BDC by employing nickel precursors and benzene dicarboxylic acid (BDC) as chelating organic linkers through a thermal reduction procedure at a temperature of 400 C to produce the composite. The composite heterostructure enhanced the conductivity, porous characteristics, and diverse potential morphological qualities. The production of composite electrodes demonstrates a specific capacity of 260F/g (104C/g) when subjected to a current density of 1A/g. Additionally, these electrodes exhibit exceptional cyclic stability, enduring 5000 cycles, when used with a 2 M KOH electrolyte. Moreover, the synthesized composite HR-TEM images were analyzed using computer vision and AI techniques for estimating the porosity and investigating the enhanced electrochemical correlation. 2024 Elsevier B.V. -
Synthesis and characterization of 4-nitro benzaldehyde with ZnO-based nanoparticles for biomedical applications
Globally, cancer is the leading cause of death and morbidity, and skin cancer is the most common cancer diagnosis. Skin problems can be treated with nanoparticles (NPs), particularly with zinc oxide (ZnO) NPs, which have antioxidant, antibacterial, anti-inflammatory, and anticancer properties. An antibacterial activity of zinc oxide nanoparticles prepared in the presence of 4-nitrobenzaldehyde (4NB) was also tested in the present study. In addition, the influence of synthesized NPs on cell apoptosis, cell viability, mitochondrial membrane potential (MMP), endogenous reactive oxygen species (ROS) production, apoptosis, and cell adhesion was also examined. The synthesized 4-nitro benzaldehyde with ZnO (4NBZnO) NPs were confirmed via characterization techniques. 4NBZnO NPs showed superior antibacterial properties against the pathogens tested in antibacterial investigations. As a result of dose-based treatment with 4NBZnO NPs, cell viability, and MMP activity of melanoma cells (SK-MEL-3) cells were suppressed. A dose-dependent accumulation of ROS was observed in cells exposed to 4NBZnO NPs. As a result of exposure to 4NBZnO NPs in a dose-dependent manner, viable cells declined and apoptotic cells increased. This indicates that apoptotic cell death was higher. The cell adhesion test revealed that 4NBZnO NPs reduced cell adhesion and may promote apoptosis of cancer cells because of enhanced ROS levels. 2023 Wiley-VCH GmbH. -
Phytoextract-mediated synthesis of Cu doped NiO nanoparticle using cullon tomentosum plant extract with efficient antibacterial and anticancer property
In the present study, nickel oxide (NiO) and copper-doped nickel oxide (NiCuO) nanoparticles (NPs) were successfully synthesized using Cullen tomentosum plant extract with the co-precipitation method. This work focuses on the Phyto-mediated synthesis and characterization of NPs for their biological applications. Phytochemicals that exist in the plant extract acts as reducing and capping agent. The successful formation of the NPs was validated by various analysis as XRD, FESEM, EDAX, FT-IR, UVVis, and Photoluminescence. According to XRD studies, the average crystallite size of NiO and NiCuO NPs is 36 nm and 31 nm, respectively. The river stone and nanoflower like morphology for NiO and NiCuO NPs are confirmed by FESEM image. Furthermore, the synthesized NPs were tested against Gram-positive (Bacillus subtilis, Streptococcus pneumoniae) and Gram-negative (Klebsiella pneumoniae, Escherichia coli) bacteria, which showed enhanced antibacterial activity of NiCuO NPs. The cytotoxicity of NPs was investigated against human breast cancer cells (MDA-MB-231) and fibroblast L929 cell lines. Also, the IC50 value for human breast cancer cells is 11.8 ?g/mL. According to these findings, NiCuO NPs are potential nanomaterials with advanced healthcare uses. 2023 -
Bridging Digital Divide in India: Positive Outlook Amid COVID-19
The digital divide is described as the gap in access to, knowledge of, use of, or ability to comprehend information and communication technology (ICT) between different societal groups. The digital divide can often give way to an upsurge in social inequalities. This study intended to comprehend the extent of the rural-urban digital divide in India regarding access to the internet and to analyze the increase or decrease in the same due to the global coronavirus pandemic. The analysis of the paper was primarily based on secondary data collected from the report on The Indian Telecom Services Performance Indicators issued by the Telecom Regulatory Authority of India for June 2019 and June 2020. Percentage analysis was employed to comprehend the trend of the digital divide in terms of access for the years 2019 and 2020. The results disclosed that there was an increase in internet access in the rural population during the time frame of COVID-19, and this increase has led to a decrease in the digital divide in terms of access to the internet. Moreover, the study revealed that COVID-19, to some extent, has resulted in bridging the rural-urban digital divide in India in terms of access. The study further highlighted the importance of digital literacy and access to ICT, and suggested ways to improve digital literacy in India. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Design, Analysis and Validation of Electric Vehicle Control and Safety for Different Path Profiles and Braking Conditions
Energy conservation and Environmental pollution are two major challenges today for our society. Currently, utilization of the latest technology, to reduce energy consumption and harmful emissions from vehicles, is gaining significance in the contexts related to automobile, energy and power industries. Considerations of these contexts enable us to form a more realistic newlineperspective and a need for developing fuel efficient, comfortable and affordable electric vehicles. The importance of design and development of electric vehicle (EV) is better perceived when, there is a major impact on our future society due to (i) the energy saving aspect from newlineboth the customer side on individual expenditure as well as from the national economy viewpoint and (ii) the huge benefit due to reduction of emissions from internal combustion engines using fossil fuels. EV offers the best solution which not only avoids emissions but overcome the dependency on petroleum resources as well. Due to fewer moving parts, monitoring and controlling of EV are also smooth and relatively much easier. The embedded control techniques used in EV also contribute for a better controllable, observable, predictable newlineand efficient vehicle drive. This current research work focuses mainly on Electric Vehicle Mobility and Control aspects for a deeper study. This research work addresses topics related to mathematical modelling and simulation studies for design and analysis of EV control and safety. Validations of the several case studies done during this research are supported by software tools namely MATLAB/Simulink and IPG Carmaker Virtual Driving Simulation Platform. Starting from modelling, throughout the various stages of this work, realistic vehicle parameters and specifications are considered. The newlinedifferent levels of testing, validation and trial runs of the model-based designs are also validated by software in loop and hardware in loop approaches. Automotive Safety Integrity Level B/C hardware was used for the implementation purpose.