Volume 9 | Issue 12

 Abstract

In this paper, we introduce and study the notion of fuzzy pre-?-gsg-closed sets in fuzzy topological spaces and their essential characteristics and operations. Key concepts such as fuzzy pre-?-gsg neighborhoods, fuzzy pre-?-gsg closure, and fuzzy pre-?-gsg interior are introduced and analyzed, providing a powerful tool for handling uncertainty in fuzzy topological spaces

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Fuzzy topology, fuzzy pre-?-gsg -closed set, fuzzy pre-?-gsg -q-nbd, fuzzy pre-?-gsg -closure

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Microfinance is a term for financial services that are offered to individuals or groups, of lower socioeconomic backgrounds or those who lack access to traditional financial services. Microfinance includes a number of services, such as savings accounts, loans, remittances i.e. fund transfers, micro insurance, credit, leasing etc. These services are provided by a variety of institutions which can be broadly divided into micro finance institutions (MFIs), banks, NGOs, credit and savings cooperatives and associations, and non-financial and informal sources. In India, microfinance products and services are provided under two heads i.e. financial services and non-financial services. In financial services, MFIs provide savings account, loan accounts, micro-insurance, micro-leasing, micro-pension, housing loan product etc. In non-financial services MFIs offer business development services, social intermediation services, micro-finance and social services etc. A microfinance institution offers small business loans that are safe to borrower. Therefore, microfinance institutions are becoming one of the best tools for reducing poverty in India. Some microfinance institutions provide financial and business education in order to best position their clients for starting up a small business or to act efficiently as an entrepreneur. In this research paper the availability of different micro-finance products in financial and non-financial categories are discussed. Also, the advantages of each product is also examined.

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Micro-finance, Financial products, Non-financial products

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ABSTRACT: This study examines the role of mass media in the success of the Biogas Programme in Karnataka, which focuses on sustainable energy adoption and rural development. The paper explores how various forms of media, such as television, radio, newspapers, and online platforms, have contributed to promoting and educating people about biogas technology. By sharing knowledge, raising awareness, and educating rural communities, mass media have encouraged participation and adoption. The research combines qualitative media content analysis and quantitative surveys of Biogas Programme beneficiaries, revealing that mass media have positively influenced perceptions and attitudes towards biogas, leading to increased acceptance and implementation. Challenges, such as language barriers and access limitations, are also identified. The study's implications extend globally to other sustainable development initiatives, highlighting the vital role of mass media in their success. Ultimately, the Biogas Programme's achievement is linked to effective communication through mass media, emphasizing collaboration between governments, media, and local communities for successful sustainable development.

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Key Words: Biogas Programme. Karnataka. Mass media. Success. Sustainable energy. Rural development. Communication. Awareness dissemination. Information sharing. Energy adoption. Waste management. Environmental conservation. Television. Radio. Newspapers. Online platforms.

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Bhartiya darshan ke sandharbh me jain darshan ki samiksha

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Bhartiya darshan ke sandharbh me jain darshan ki samiksha

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yog shiksha ka prachin or vartaman svarup

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yog shiksha ka prachin or vartaman svarup

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Data mining techniques are commonly used, and data warehousing plays a significant role in this process. The major difficulties in data warehousing have always been scalability and efficiency. Data warehousing is currently facing difficult hurdles in various areas as a result of the increasing development of data, and old methods are experiencing bottlenecks. As part of our research, we describe a document-based data warehouse. A distributed, document-oriented database is used to build the data warehouse in our technique of ETL, and the MapReduce framework is used for this.To highlight the facts of the situation, a case study is presented. The entire procedure when compared to RDBMS-based data warehousing, ours is more efficient. This method demonstrates increased scalability, flexibility, and efficiency. At its most basic level, the ETL process includes the extraction, transformation, and loading of data. Extraction, conversion, and loading are the three steps implied by the word, this basic description leaves out one important aspect: data transportation. The areas where each of these stages intersect

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MapReduce, Document-based, Big Data, Data Warehousing, Extraction, Transformation, Loading

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Cloud computing broadens the asset sharing idea as of late used in utility and Grid computing with a plan of action, where assets are provisioned as services to customers. Cloud computing is exceedingly dynamic; along these lines planning tasks and assets is small challenging. Planning can be portrayed as the arrangement of policies to control the request of work to be performed by a PC framework. The main advantage of booking algorithm is to achieve an elite computing and high framework throughput. Cloud brokerage service is a novel space of exploration. In this time of intermediation, cloud brokerage service assumes an indispensable part in the business. Cloud broker makes an interface to work with the IT client to lean toward the appropriate server farm outfitted with enough resources sufficient of the client

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Cloud, computing, broker, Grid, assets

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Education is the foundation on which the socio-economic development (Paas, 2008)1 of the citizens and the nation as a whole hinges. Growth of a country depends on its ability to continuously educate the population and create skilled manpower. Particularly, the higher education is the major driver of economic competiveness. Professional Educational Institutions which want to gain competitive edge need to begin searching for creative and efficient ways to attract, retain and foster stronger relationships with the students. Therefore, it is necessary to improve the quality of education by restructuring, reengineering, strategizing and resource planning using state-of-art tools to satisfy the growing expectations of the students. In the present era, use of Information Technology (IT) based services in management and delivery of education has become essential part of educational processes. Internet and Communication Technology (ICT) increases the efficacy of transactions and productivity in the information driven society. Many institutions engaged in imparting higher education are utilizing information technology services as an effective tool for monitoring and improving organization's academic and administrative performance (OECD, 2004).

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IT, Higher education, ICT, Classroom

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Integral equations are a standout amongst the most helpful scientific instruments in both immaculate and connected Mathematics. They have huge applications in numerous real problems. Many starting and limit esteem problems related with ordinary differential condition (ODE) and partial differential condition (PDE) can be changed into problems of comprehending some surmised essential equations. There exists a broad hypothesis for impartial useful integro differential equations which incorporates subjective conduct of classes of such equations and applications to biological and designing procedures for subtleties. A fuzzy Inference system (FIS) maps fresh contributions to fresh yields. A FIS comprises of four segments: the fuzzifier, inference motor, rule base, and defuzzifier. We can say that Fuzzy logic ideas incorporate fuzzy sets, fuzzy logic administrators, rule-based frameworks, fuzzy maps, and derivation motor and defuzzification strategies. The utilization of fuzzy inference capacities is effectively taken care of even in state space; interestingly, all counts must be numerical and not diagnostic.

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Argyreia nervosa belongs to convolvulaceae family and commonly known elephant creeper. It is well known for its medicinal importance. In present study the leaf and stem extract of Argyreia nervosa in ethanol were analysed for the presence of various phytochemicals such as proteins and amino acids, carbohydrates, alkaloids, phenols, flavonoids, steroids, triterpenoids, tannins, saponins and anthraquinone. The ethanolic leaf extract shows presence of carbohydrate, proteins and amino acids, alkaloid, flavonoids, tannins, saponin and phenols whereas, anthraquinone, steroids and triterpenoids were absent. While ethanolic stem extract shows presence of proteins, carbohydrates, alkaloids, phenols and tannins, saponins, anthraquinone whereas steroids and triterpenoids were absent.

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Keywords: Argyreia nervosa, convolvulaceae, phytochemicals

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Democracy is a form of government in which people either directly or indirectly participate in the decision-making process through a system of representation involving periodically held free elections. The Democracy of India is considered as the largest democracy in the world. In a democracy, authority is enjoyed by the people or their representatives and people are the final authority in every field of system of governance. However, in modern India, democracy has faced a lot of challenges like social and economic inequalities, poverty and, Castes, communalism, corruption, terrorism, population explosion. It is required to be addressed to sustain true parliamentary democracy in India. This paper tries to examine and analyses the existing democratic system in India and its implication towards the democratic system of the world. It also suggests certain possible measures or institutional reforms in order to ensure a healthy and sustainable democracy for India.

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Democracy, Castes, Corruption

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The accounting world is ever changing due to the rapid advancements in Information Technology; today's corporate environment is tremendously dynamic. Big Data, Data Analytics & Forecasting Tools, Mobile Technologies, Automated Accounting Processes, Cloud computing platforms Block Chain, and Forensic Accountancy, all of which are geared to meet a wide range of business requirements. The new accounting technologies are reducing the work of accountants and improving better decision making through their automated processing systems by proving the data quality beyond this the new accounting technologies also provides data visualisation and eliminate unnecessary data through data cleaning and data profiling tasks. The purpose of this research article is to describe the most recent and upcoming trends in the field of accounting and also the paper discusses the main characteristics of cloud computing, big data and analytics along with mobile technologies.

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Technologies, Cloud- based Accounting, Data Analytics,

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Cloud computing alludes to benefit conveyance over web by a few application which are in disseminated server farms. Cloud computing has numerous preferences alongside a few issues. These issues are connected with stack administration, dependability, information movability, different security issues and considerably more. In this paper our fundamental concern is stack adjusting calculations in cloud computing. The heap can be organize stack, memory limit, CPU stack and so on. The heap adjusting is a procedure of reassigning the aggregate load to the individual hubs of the aggregate framework to make asset usage successful and to enhance the reaction time of the activity, at the same time evacuating a condition in which a portion of the hubs are over stacked while some others are under stacked. This paper presents different issues of cloud computing particularly identified with stack adjusting and different load adjusting calculations or system in cloud computing embraced in past research work have been broke down and discoveries were represented in this paper.

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ISSUES OF CLOUD COMPUTING CONCERNING STACK AND LOAD ADJUSTING

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Medical imaging, video surveillance, and astronomy all benefit from high-resolution pictures, which may also be used for other purposes. Images are obtained in medical imaging for a variety of reasons. for the goal of medical investigation and for the purpose of giving information concerns the structure, physiology, and metabolism of the human body below-the-skin volume Medical imaging is crucial. a diagnostic tool for determining the existence of a specific disease illnesses. As a result, boosting the picture resolution should be considered. considerably enhance the capacity to diagnose remedial action treatment. Furthermore, a higher resolution may have a significant impact. Various ways for generating and forming algorithms that may be utilised to expand on this idea of Super resolution have been developed over the years. This study discusses a few different forms of medical imagination, as well as the numerous ways for super resolution and the current developments.This research shows how to use a unique interpolation approach to recreate three-dimensional medical pictures. Interpolation of images is frequently necessary.in the reconstruction of three dimensions This is a paper aboutexamines and compares the limitations of established methods.Grey-based interpolation is an interpolation algorithm.interpolation based on shape In order to overcome theDespite the drawbacks of standard algorithms, a revolutionary algorithm has been developed.There is a suggested interpolation algorithm that combinesthe advantages of both traditional and non-traditional interpolationalgorithms. Extensive research has revealed that theIt is possible to improve the efficiency of three-dimensional reconstruction.By utilising the unique method, we were able to significantly increase our results.

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high-resolution medical pictures; Grey-based interpolation, computed tomography (CT).

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Outlier detection is utilised in a variety of applications, including clustering-based illness onset identification, gene expression analysis, computer network intrusion detection, financial fraud detection, and human behaviour analysis. Because of their poor accuracy and lack of a comprehensive strategy, existing methods for detecting outliers are ineffective. Small clusters are usually considered outliers, and most algorithms provide an outlier score to each data object. Due to high computational complexity and misidentification of regular data objects as outliers, these techniques have disadvantages. Using a modified k-means clustering technique, we provide a unique unsupervised approach for detecting outliers in this study. To increase clustering accuracy, outliers are eliminated from the dataset. By comparing our method to existing approaches and benchmark performance, we are able to prove that it is effective.

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Outlier, Clustering, k-means clustering, Unsupervised

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Orthogonal frequency division multiplexing had achieved a good deal of significance due to the high data rate of its transmitting capacity, vigour against frequency selective fading channels. The aim of the study is to Utilizing of OFDM as a Specific Case of Second Order Kalman Filtering Algorithm. In this paper a Kalman smoother is actually suggested, which uses more measurements and it is a lot more precise in comparison to the Kalman filtering. It'll be proven that the recommended method provides channel mean square error (MSE) is actually near to that of the perfect minimum mean square error (MMSE) Wiener filter. For data detection, a low complexity MMSE along with decision feedback equalizer (DFE) algorithm is actually utilized to control intercarrier interference (ICI). The computational price of this new algorithm is on exactly the same order as current channel estimation algorithms.

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Channel, OFDM, networks, Second order, Kalman Filtering algorithm, etc.

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The purpose of routing on a wireless sensor network (WSN) is to interconnect sensor nodes via single or multi-hop paths. Routesare set up to forward data packets from sensor nodes to sink. Establishingthe only way to report every data packet is to increase the power consumption in the WSN, therefore, dataaggregation routing is used to combine data packets and consequently reduce the number of transmissions.This reduces the routing overhead by removing unnecessary and meaningless data. There are two models for routing data aggregation in WSN: mobile agent and client / server. In this paper we describe the dataClassifies routing protocols by aggregation routing and network architectureRouting model.

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WirelessSensorNetworks,RoutingProtocols,DataAggregation,Client/server,Mobile Agent.

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Pandemic, Online Teaching, India, Education, COVID-19

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Vitex negundo, CuONP, antibacterial and antioxidants.

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