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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. -
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. -
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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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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. -
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 -
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. -
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. -
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. -
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 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. -
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. -
Smart healthcare system design: Security and privacy aspects
SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable. 2021 Scrivener Publishing LLC. All rights reserved. -
Unravelling Financial Resilience in India: A Multi-Group Analysis of Socio-Economic Factors
This research investigates the intricate relationship between financial literacy (FL), financial behavior (FB), and financial resilience (FR) across various socio-economic dimensions such as age, gender, income, and education. Building on previous studies, this paper focuses on how these factors may moderate the connection between FL and FR, with FB's role as a mediator. Conducted in Kerala, a region renowned for its high literacy rate, data from 270 participants was collected through an online survey using convenience sampling. The data was then analysed using IBM SPSS AMOS for Structural Equation Modelling, a widely accepted statistical tool. The analysis reveals robust evidence supporting positive relationships between FL-FB, FB-FR, and FL-FR. Additionally, FB partially mediates the FL-FR relationship. Multigroup analysis highlights distinct impacts across subgroups, emphasizing the nuanced interplay between these socioeconomic factors and financial outcomes. The study's conclusions, which highlight the urgent need for focused initiatives to improve financial literacy and promote responsible financial behaviour across a range of demographic groups, provide important new insights into financial dynamics. Such initiatives are essential for bolstering financial resilience and ensuring economic stability amidst varying socio-economic contexts and should be a priority for policymakers and practitioners. 2024, Iquz Galaxy Publisher. All rights reserved. -
The design and analysis of helical cross - Axis wind turbine
Environmental conditions such as high turbulence, low wind speed, and persistent changes in oncoming wind direction can minimize the performance of a horizontal axis wind turbine (HAWT). Some specific vertical axis wind turbine (VAWT) designs can work fine in these rare functioning conditions but still, they pose an occasional power coefficient. So a unique design of a helical cross-axis wind turbine (HCAWT) was modeled which will operate under multiple wind directions such as horizontal wind stream and vertical wind stream from the underside of the turbine. The HCAWT consists of three helical vertical blades and six horizontal blades arranged in cross-axis orientation for enhancing its performance and self-starting behavior. The obtained analysis study results show that the power generated by the HCWAT was improved when compared to the Straight-Bladed VAWT. Both the turbines were placed at height of 100, 150, 200 & 250?mm in the simulation study, coefficient of power (Cp) achieved by HCAWT was 0.43, 0.52, 0.48, and 0.51 at an RPM of 554, 512, 474 and 449 respectively whereas in the case of Straight-Bladed VAWT was 0.15, 0.18, 0.13 and 0.23 at an RPM of 179, 189, 212 and 233 were obtained. 2022 Author(s). -
Revising the intention of indulging customer relationship and revenue management in next of kin with B2B and B2C
This study is made for the purpose of understanding Customer Relationship Management (CRM) and Revenue Management (RM) in relation with Business-to-Business (B2B) and Business-to-Consumer (B2C) aspects in the hospitality industry. The outcomes from this study are generated by doing a Quantitative and a Qualitative study in four hotels in the city of Ban galore, Karnataka, India. This study focuses on the revenue management and sales and marketing departments in the hotels and the effects that CRM and RM have on the B2C and B2B aspects concerned by these hotels. This Quantitative study comprises of a six item scale and seventy questionnaires with respondents opinions and views from the Revenue Management department and the Sales and Marketing Departments in these four hotels. This has been achieved through the examination of the dimensions in relation to hospitality sales and maintenance of relationship with the consumers and other businesses of the hotel and the revenue management aspects in the management of these hotels. Key findings of this study are based on the aspects of-measure, Acquisition, Regaining, Maintaining, Retaining and Exit strategies that are maintained by the sales and marketing and the revenue management departments of the hotel towards the Consumers and the other Businesses on which the hotels focus their marketing aspects and revenue management strategies. The other aspects of key findings are the development and maintenance of relationships with B2C market segments and the progressing maintenance and development of the old and new B2B strategies implemented by the hotels in many different ways. IAEME Publication.