Volume 12 | Issue 7 |

 Abstract

Objective: The study aimed to investigate the relationship between body composition and shoulder flexor strength in male volleyball players. Methods: Twenty male volleyball players were selected to assess body composition and shoulder flexor strength. The study utilized the human kinetic isokinetic machine and skinfold caliper for accurate measurements. Statistical analysis included descriptive statistics and Pearson's product-moment correlation to determine the relationship between body composition and shoulder flexor strength. Conclusion: The study found no significant relationship between body composition and shoulder flexor strength in volleyball players. However, it revealed that shoulder extensor strength was significantly stronger than shoulder flexor strength. This suggests that training programs should focus on enhancing shoulder extensor strength, which plays a crucial role in spiking and serving in volleyball. Maintaining ideal body composition may also contribute to improved playing performance. The findings emphasize the importance of considering specific muscle groups and body composition in training programs to enhance player performance in volleyball.

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Volley Ball, Shoulder Flexor, Body Composition

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Important papers like academic certificates from educational institutions and the SSLC and HSC are being changed to digital representations as we progress toward a more digital society. However, students usually have trouble remembering where their real degree certificates are, even while institutions and organizations cope with time-consuming processes for certifying and confirming credentials. By putting in place a blockchain-based certificate storage system, our initiative aims to solve this issue by enhancing security and speeding up validation procedures. Initially, digital formats for paper certificates are created, and then each certificate is given a distinct hash code generated by a stochastic process. Following that, these digital certificates are safely stored on the block chain. An application for smartphones may be used to validate and confirm these certificates. It uses of blockchain technology to provide a more effective and safe validation process.

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Blockchain Technology, Distributed Ledger, Smart contracts, Consensus Mechanisms, Cryptographic Hashing, Digital Signatures Decentralized Trust Model, Peer-to-Peer Network, Data Integrity, Security Measures.

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the advancement of technology in agriculture has paved the way for innovative solutions to enhance crop yield and manage plant health. One such solution is automated plant disease detection using deep learning techniques. This paper presents a web-based application designed to detect diseases in plant leaves from uploaded images, utilizing state-of-the-art deep learning modelsplant diseases pose a significant threat to agricultural productivity and food security worldwide. Early and accurate detection of plant diseases is crucial for effective management and control. Traditional methods of disease detection often rely on manual inspection by experts, which can be time-consuming, labor-intensive, and prone to human error. To address these challenges, we propose a deep learning-based approach for automatic plant disease detection from leaf images.our approach leverages two powerful convolutional neural network (cnn) architectures: xception and densenet121. These models are pre-trained on the imagenet dataset and fine-tuned for the task of plant disease classification.

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Automated plant disease detection, web-based applications, plant leaves, image upload, state-of-the-art deep learning models, agricultural productivity, food security, early detection, accurate detection, plant diseasestime-consuming, labor-intensive, human error, leaf images, pre-trained models

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Rainfall-runoff modeling is one of the most important topics in water resources planning, development and management on sustainable basis. The Multilayer Perceptron (MLP) and Multiple Linear Regression (MLR). This study was undertaken to develop and evaluate the applicability of the MLP and MLR models by way of training and testing of developed models during monsoon period (June to September) for Meghalaya district of Assam state of India. The daily data of rainfall, runoff (or stream flow), minimum & maximum temperature and wind speed were used in the study for monsoon season. The daily data were split into two sets: a training data set from 2013 to 2020 and a testing data set from 2021 to 2022 for Meghalaya Assam. The NeuroSolution 6.0 software and Microsoft Excel were used in an analysis and the performance evaluation indices for developed models, respectively. The best input combination of rainfall, runoff minimum & maximum temperature and wind speed were identified using the input-output combination for the simulation of Runoff. On the basis input combination, 10 best models for runoff were selected out of 15 models, respectively with different input combinations. The input pairs in the training data set were applied to the network of a selected architecture and training was performed using back propagation algorithm for MLP models. A number of networks were constructed and each of them was trained separately, and the best network was selected based on the accuracy of the predictions in the testing phase. The following statistical indices such as mean squared error (MSE), coefficient of efficiency (CE), coefficient of determination (R2) and coefficient of correlation (r) were applied to test the performance of the developed MLP and MLR models. The predicted suspended sediment using MLP models were found to be the best performing models for Meghalaya Assam. It was clearly evident that MLR models fit very poorly for the dataset under study. The current day's runoff can be simulated using the data of current day rainfall.

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Soft computing, MLP, MLR, Runoff prediction

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Is this world rejectable in terms its temporary pain and pleasure? Or it should be perceived as complete surrender to the ultimate reality where consciousness is playing with its beauty, love and bliss. In this realm we are going to explore an unquestionable school of thought; Bengal Vaishnavism which is popularly known as Gaud?ya Vai??ava. The term 'Gaud?ya' means the thoughts and practices sprang up from Gaudade?a, so it has been named after its origination. Here the word 'gauda' has come as the adjective of the noun-word 'guda' or molasses. That's why the land seems to be named 'Gauda' which actually connotes the land of sweetness or madhurarasa and fortunately it represents Bengal. By revisiting the basic philosophical structure of this school, we will enjoy the deep meaning of delicacy; technically said as 'asv?dana of m?dhurya', or tasting the essence of spiritual love. Broadly, this school of thought has shown that following the path of Gaud?ya Vai??ava, a worshiper can taste the sweetness of spiritual love between R?dha and Kr???a, to attain the path of liberation. Most interestingly their doctrine claims that the supreme and His power or energy both are one in essence just like two sides of a same coin. Though their characteristics seems to be different in their ways of their activities and glories. If the supreme is said to be 'conscious' then very word 'ness' stands as his energy. Altogether the supreme is addressed as consciousness. Technically this concomitant relationship or the eternal relationship between ?akti and ?aktim?na - is worshiped by a worshipper day by day. The big question arises here that how one may say that energy and its locus are different in one? Here comes the grand narration of inexplicable-identity-in-difference which negates the dilemma of duality and glorifies the philosophical values of a realized thought. This article is significant for exploring this phenomenon which adherers the such indiscernibility of both identity and difference.

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Gaud?ya Vai??ava, m?dhurya, ?akti, ?aktim?na, indescribability, identity-in-difference.

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Creative Commons Attribution 4.0 and The Open Definition

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Different roofing materials and methods are available to enhance functionality and require less maintenance. Pre- Paint Galvanized iron (PPGI) sheets and conventional cement roofing sheets are recommended, but asbestos cement sheets have limitations due to fragility and potential accidents during replacement. Pre- Paint Galvanized iron sheets have additional maintenance requirements due to corrosion, noise, and heat issues. Foundry industries face frequent maintenance and production cycle disruptions due to roofing cracking. The use of new materials for industrial roofs has not received much research, so selecting the latest materials techniques is crucial to increase production while minimizing roofing-related problems. Investing in long-lasting, resilient, and low-maintenance roofs is necessary since the firm has difficulties in sustaining continuous production and corrective roof maintenance. There is a demand for new, high-tech materials that can enhance roofing performance while remaining reasonably priced. Due to a lack of knowledge about its qualities and financial advantages, individuals still choose conventional roofing. In this research, new developments in roofing materials for foundry industries are explored.

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Foundry Industries, Cost-Effective, Roofing Sheets, Conventional Roofing, A.C Sheet, PPGI Sheets, PPGL Sheets, Aluminum Sheets.

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ERP is the software which integrates various sub modules together so that data can be accessed from various locations. It is the package in which accessing of the data is done through single interface. In this paper we proposed about a new framework for decision support system based on the ERP & CRM. Here we also analysis the characteristics of data in the ERP system and address the problem of application of decision support system and suggest the architecture based on ERP system followed by detail interpretation of data acquisition module. Use of cloud technology had increased the accuracy ratio.

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decision support system; ERP; data warehouse, Cloud

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

????? ??? ?? ??? ?? ?? ??????? ?????? ?? ????? ??? ????-???? '?? ????? ??????? ?? ???? ????? ???? ??? ?????? ??? ??? ???? ?????? ????? ???? ??? ??? ?? ?? ????? ??? ??? ???? ????? ????? ?????? ??? ?????? ??? ?????? ????? ????? ???? ?????? ???? ??? ???? ?????? ????? ???? ??-???? ????? ?? ????? ??, ??? ????? ????? ?? ???-??? ???????? ??-???? ????? ?? ???????? ??? ???????? ??? ????? ?????? ????? ??? ???????? ???? ??? ?? ?? ???? ???? ?? ??? ??? ??? ??? ????? ????? ?? ????? ??? ?? ??? ?? ???? ??? ???? ?? ???? ?? ???????? ?????? ??? ???? ???? ?? ????? ????? ???? ?? ????? ?????? ???? ???? ??? ???? ????? ???-???? ??????? ??? ????? ????? ?? ?????? ?????? ???? ???? ???

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????? :- ????? ?????, ??????? ??? ?????

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Over the world, indigenous rights are still shaped and influenced by colonial legacies, especially in places like Canada, Australia, and New Zealand. Through a comparative analysis of the long-lasting effects of colonization on indigenous communities' rights and socioeconomic circumstances, this study explores the historical injustices and institutional racism that these groups have experienced in these countries. In order to understand how colonialism came to be in each country, the study first looks at its historical underpinnings. It emphasizes how indigenous groups have been severely impacted by the imposition of European legal systems, land confiscation, and cultural oppression. It investigates the ways in which colonial behaviors and policies have fueled continued socioeconomic inequality and upheld inequality. Analyzing the legal protections and frameworks for indigenous rights in Canada, Australia, and New Zealand in comparison is a crucial aspect of the research. In order to correct historical injustices and advance indigenous self-determination, it assesses how well legal initiatives like treaty rights, land claims settlements, and constitutional recognitions work. In addition, each country's socio-political environment is examined for current examples of racism and prejudice against indigenous peoples. It explores topics like health inequalities, disproportionate rates of poverty, overrepresentation in the criminal justice system, and obstacles to cultural renewal.

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indigenous , intricacies,colonialism

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Creative Commons Attribution 4.0 and The Open Definition

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The intersection of platform capitalism, social networks, and women entrepreneurship is a complex and evolving area of study which aims to understand how these elements interact and impact each other in today's digital economy. Platform capitalism describes the economic and social frameworks driven by digital platforms like Amazon, Uber, and Facebook, which act as intermediaries connecting users and services, transforming traditional business models through the use of technology, data, and network effects. Social networks, whether online or offline, play a vital role in shaping social interactions, spreading information, and creating economic opportunities. Within platform capitalism, social networks have become essential tools for marketing, engaging customers, and building communities. Women entrepreneurship has become increasingly recognized for its role in driving economic growth, innovation, and social change. Despite this, women entrepreneurs often encounter unique challenges, such as securing capital, finding mentorship, and balancing business with family responsibilities. The interaction between platform capitalism, social networks, and women entrepreneurship showcases the significant potential of digital platforms to support inclusive economic growth. Nevertheless, overcoming obstacles related to access, bias, and dependency is vital to achieving this potential. As platform capitalism evolves, it is crucial to develop supportive ecosystems that empower women entrepreneurs and ensure their fair participation in the digital economy.

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Platform Capitalism, Social Networks, Entrepreneurship

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Creative Commons Attribution 4.0 and The Open Definition