Volume 10 | Issue 4

 Abstract

1947 में भारत जब ब्रिटिश राज्य की गुलामी से आजाद हुआ तो उस की भौगोलिक स्थिति वर्तमान स्थिति से भिन्न थी। भारत कई प्रांतों और देसी रियासतों में बंटा था वर्तमान में भारत में कुल 28 राज्य और 8 संघ शासित प्रदेश है। भारतीय संविधान में केंद्र और राज्यों के बीच शक्तियों का बंटवारा किया गया है। केंद्र और राज्य के संबंध से अभिप्राय किसी लोकतांत्रिक राष्ट्रीय राज्य में संघ वादी केंद्र और उसकी इकाइयों के बीच के आपसी संबंधों से होता है। भारत का संविधान अपने स्वरूप में संघीय है और समस्त शक्तियां केंद्र और राज्यों के बीच में विभाजित है। संविधान में केंद्र एवं राज्य का अपना अपना स्थान है, किंतु संघीय व्यवस्था के प्रभावी क्रियान्वयन के लिए राज्य एवं केंद्र दोनों की अधिकतम सहभागिता आवश्यक है। इस तरह संविधान में केंद्र और राज्य के संबंधों को लेकर कई तरह की व्यवस्थाएं स्थापित की गई है, केंद्र और राज्य के बीच कई मुद्दे को लेकर विगत कुछ वर्षों से अनेक विवाद सामने आए हैं। जहां देश की एकता और संप्रभुता के लिए केंद्र का शक्तिशाली होना आवश्यक है, वहीं राज्य के विकास के लिए भी यह आवश्यक है कि उनको कुछ स्वतंत्रता प्रदान की जाए। देश की एकता विकास एवं सुरक्षा के लिए केंद्र का शक्तिशाली होना आवश्यक है वही राज्यों की मांग है कि उनके विकास के लिए उन्हें अधिक शक्तियां प्रदान की जाए।

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 Keywords

संघवाद, प्रशासन, समवर्ती सूची, संघ सूची, राज्य सूची।

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 Abstract

PARASHURAM SHUKL KI KI PARIYO KI BALAKAHANIYO MEIN YATHARTH KALPANASHILATA KI SAMAGRATA

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PARASHURAM SHUKL KI KI PARIYO KI BALAKAHANIYO MEIN YATHARTH KALPANASHILATA KI SAMAGRATA

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Creative Commons Attribution 4.0 and The Open Definition

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Moonlighting, Hours Constraint, Income Constraint, Binary Logit Model

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Creative Commons Attribution 4.0 and The Open Definition

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Robotics; educational robotics; STEM; School Education

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Facial expressions are the important and successful requirement in image analysis in the field of image processing. Facial expressions are mainly based on mouth and eye for analyzing and recognizing the human mood. Many segmentation techniques are available for to analyze and recognize the facial expressions based on human mood. The main aim of facial expressions is to recognize the facial features such as mouth and eye from an given input facial image. Mouth and eye are extracted by applying the appropriate threshold value to the given image by using statistical features such as operations like right array division and right array multiplication. Experiments are carried out on Japanese Female Facial Expressions (JAFFE) a facial expression database and in terms of accuracy we obtained better performance in our proposed method.

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Facial Expression Recognition, Feature Extraction, Segmentation

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In a dynamic environment today, consumer loyalty is the secret to success in every industry. The organizations, which concentrate in large measure on consumer loyalty, struggle to satisfy their internal consumers i.e. their staff. their services. They are driven by conditions of employment, health and safety policies, growth and development, etc. Workforce of any bank is responsible to extent its productivity and profitability. Efficient human resource management and maintaining higher job satisfaction level in banks determine not only the performance of the bank but also affect the growth and performance of the entire economy. So, for the success of banking, it is very important to manage human resource effectively and to find whether its employees are satisfied or not. Only if they are satisfied, they will work with commitment and project a positive image of the organization. This Study is a descriptive study based on primary data as well as secondary data. A survey conducted using the sample method [80organizational level workers (40 from each bank)] on operational level employees working in the SBI & ICICI. This project tries to study the job satisfaction level among employees of selected private and public sector banks in Varanasi.

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JOB SATISFACTION, BANKS, EMPLOYEES GROWTH, JOB SECURITY, JOB STABILITY

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The SARS-CoV2 virus caused a new corona virus that started in Wuhan, China and spread around the world. Millions of people were infected as a result of the virus's widespread spread. Early discovery of the virus is critical for the patient's complete recovery, but late detection can be fatal. Because the virus's symptoms are similar to those of the flu, it's tough to spot. This research seeks to develop an automated approach for detecting Covid19 from virus-infected chest X-ray pictures. The suggested method makes use of a dataset that includes non-infected participants as well as patients with pneumonia and Covid19 virus infection. For feature extraction, local binary patterns with variations in their input parameters are used. Several machine learning methods and ensembles of these individual models are used to classify the generated feature sets. Experiment results are acquired using 10-fold cross validation testing. To compare performance, the evaluation metrics accuracy, positive predictive value (PPV), sensitivity, and f-measure are utilised. The results reveal that the RTree-RForest-KNN ensemble delivers the best classification performance, whereas ensemble models outperform most individual classifiers. When comparing the input parameters of the LBP, the best performance is given by parameters R=6 (P=48) and R=7 (P=56) in the suggested Covid19 identification approach from chest X-Ray pictures for the average of metrics for 10-fold cross validation.

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Covid19, Local Binary Pattern, Machine Learning, Histogram

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Keywords: Fartlek Training , Plyomeric Training ,Agility, Kabaddi Players.

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Visual narratives have been a powerful tool to arrest the attention of the viewer since the very beginning of time. The static form of visual narratives i.e. graphic novels or comics is indeed a popular way to speed up the learning process, especially in the post covid classroom scenarios, which parents, teachers, and students often complain of being very boring and monotonous. The introduction of a good-quality graphic novel can be a great way to help struggling readers strengthen vocabulary, build reading confidence, and develop a deeper appreciation for the art of narration. They can make complex ideas more relatable by compressing them into single images and help in inviting the readers in and keeping them engaged. This paper discusses the postscript of a focus group discussion organized by the researcher to analyze the graphic novel created by converting a textual chapter from the 11th standard book into a graphic novel as part of the doctoral dissertation. It aims at exploring the quality concerns of a good graphic novel and the perception of teachers, students, and field experts. Although there are still reservations and doubts as to their efficiency, especially in the Indian classroom milieu but the worth of graphic novels as a pedagogical tool has been proved by substantial evidence. In this article, different arguments concerning the quality of a good graphic novel as a teaching tool are discussed. This paper focuses on the assessment criteria of a graphic novel and what makes it worth using as a teaching tool in the classroom of senior secondary school students.

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Visual narrative, Static visual narrative, Graphic Novel, classroom, learning, language skills, a pedagogical tool

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Creative Commons Attribution 4.0 and The Open Definition

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The outgoing computer paradigm promises to deliver advanced user information and enable a wide range of Internet of Things (IoT) applications. In this paper, we propose a new market-based framework for effectively allocating heterogeneous capacity-limited edge nodes (EN) resources to multiple competing resources at the end of the network. By setting the appropriate rates for locally distributed ENs, the proposed framework produces a market equity (ME) solution that not only increases computer utilization but also allocates a range of good resources to services because of budget constraints. If the use of the service is defined as the maximum revenue service can receive from its service allocation, equity can be computerized in one place by resolving the Eisenberg-Gale (EG) convex system. We also demonstrate that equity is Pareto-optimal and that it satisfies the demands of equity, including the sharing of motivation, equality, and non-envy. Also, two distributed algorithms, which successfully combine with ME, are developed.

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Resource management, Cloud computing, Computational modelling, Edge computing, Delays, Reliability, Security

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In the present age access, the world is growing with lots of easily accessible information available on almost every subject matter. The use of the freely available internet resource is causing a rise in easy copy and paste culture. Thus many people indudes plagiarism directly or indirectly in their paper due to improper citation. Citation simply means to give credit to the owner of the information. Research papers that are not properly cited are considered to be plagiarised. Plagiarism is considered as a serious offence and can have consequences. Thus the main aim of this project is to detect citation types of a research paper that includes formats such as IEEE, Elsiever , Springer , and many more. Also to convert the different citation formats that are detected into a single format that will be use for publication. Users can also detect the misplaced citations in the paper. This technique will reduce or can completely eliminate plagiarism from the research paper. The system makes used on Natural Language Processing (NLP) and machine learning algorithms and artificial intelligence techniques in order to make it more efficient.

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Plagarism ,Citation, Natural Language Processing

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This paper describes Tripura as the abode of Shiva and Shakti. Tripura, a state in North-East India, has a distinct heritage and history, which is documented in Rajmala. In this study Unakoti is viewed as an important site for Shaivite tradition in Tripura. There are rock-cut reliefs of Lord Shiva and other gods and goddesses here. This paper also includes Captain R.C.B William's thoughts on his excursion to the Unakoti Hills. This paper highlights Tripura Sundari Temple as a Shakti worship site in Tripura. This paper also mentions the Kasba Kali Temple in Kamalasagar as a Shakti worship site. As a result, this paper sheds light on significant historical sites associated with Lord Shiva and manifestations of Shakti.

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Tripura, Lord Shiva, Unakoti, Tripura Sundari Temple, Kasba Kali Temple

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Rising energy consumption, especially with the ever-increasing growth and development of urban systems, has become a major concern in most countries. In this article, the authors propose a cost-effective home energy control system based on ZigBee, consisting of a gateway, a base station, and a sensor. Specifically, a new hardware platform has been developed for power sensor nodes to measure local and remote power parameters and perform power on / off switching for electronic devices. Experimental results show that ZBDECS can easily monitor energy usage with a high level of accuracy. Two common ZBDECS applications such as sub-entry metering and domestic metering are offered. The former includes lighting socket power, HVAC power, electrical power and special power. The latter includes the central function zone of the campus and home metering according to each college or department. Therefore, the system can be used for energy consumption monitoring, long-term energy conservation planning, and development of automated energy conservation for building applications.

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ZigBee, BLUETOOTH, environmental consumption, energy consumption

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Sports aggression, Kabaddi, Kho-Kho players

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In South India, and especially in Tamil Nadu, there was a group of freedom fighters that worked tirelessly and sacrificed their lives to liberate India from the British yoke, including Rajaji, Kamarajar, V.O Chidambaram, Bharatiyar, Vanchinathan, PasumponMuthuramalinga Thevar, and others. They toiled tirelessly and gave their lives to liberate India from the British oppression during the last years of the Raj. S.Sathyamurti was notable on the social scene as a supporter of the performing arts, and he was a functioning individual from the SugunaVilasa Sabha as well as the founder secretary of the famous Music Academy and an individual from the Senate of the University of Madras. While battling for freedom during the 1920s, S.Sathyamurti fostered a close relationship with outstanding auditorium characters such as K.BSundarambal, S.G. Kittappa, and others.

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S.Sathyamurti, Rajaji, Kamarajar, V.O Chidambaram, Bharatiyar, Vanchinathan, PasumponMuthuramalingaThevar, as K.BSundarambal, S.G. Kittappa, C.N. Annadurai, Karunanidhi, Justice Party, Indian National Congress,Rowlatt Satyagraha, Congress Justice Conflict, Quit India Movement.

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Gold has always been a hedge instrument and the dynamic relationship of this yellow metal with other macro economic variables have always kept researches on their toes. In this regard the study attempts to unveil the dynamic relationship between Gold Price, Dollar Index and BSE Sensex using Granger Causality Test. The study has taken into account daily closing data from January 2018 to December 2021.The data series is being tested for skewness, Kurtosis, stationarity and Granger Causality. The data is found to follow normal distribution and the Granger Causality test reveals that Gold Price influences Sensex and S&P Dollex in the Short run.

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Gold Price, Sensex, Dollar, Augmented Dickey Fuller(ADF), Granger Causality

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COVID-19 (Coronavirus) has affected the day to day life of everyone. This disease has affected the lives of thousands of people. COVID-19, described as -'CO' for corona, 'VI' for virus, and 'D' for diseases unfortunately, is rapidly increasing which has put the world in a different state. Broadcasting COVID information and analyzing the present data will help in predicting the future conditions as well as bring a control to this disease. Data Analysis plays an important role in analyzing the data. Data analysis can be done using various machine learning models. Machine learning forecasting models like Dynamic linear models, SIR model , LSTM and GRU model , ARIMA, SARIMA, GARCH, TBATS, Prophet, SIS model, etc. In this study, we used the epidemiological LSTM (Long-short-term-memory) model and GRU (Gated Recurrent unit) model for predicting the spread of COVID-19 cases. It is good to mention here that the forecasts done using these models will be as good as data quality which will be available and, hence, the progress and the prediction can also get affected due to the available quality of the data. The objective of this study is to use the LSTM and GRU model to forecast the analysis and the prediction of COVID -19 cases along with comparison of these two models .This website also provides visual information for better understanding of COVID-19 conditions in India.

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COVID-19, Data Analysis, Machine learning model, LSTM Model, GRU model.

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Many community admins are using Facebook groups and Slack software to communicate with community members. Unfortunately, such messaging tools cannot provide a meaningful connection to a society's members. For this reason, the development of community applications is becoming more popular in recent years. A society-based app is the best alternative to social networks, where instead of feeling engaged, users feel even more lonely than offline. This project is aimed at developing online forum for the group discussion. This is an Android application. Any user can post the doubts, topics and can reply for the other user doubts. The user can invites others for Discussion and submit query. This is useful for any general community like technical, sports, educational or for a small office, school or a department or for that matter any group who is interested to organize it effectively. Facility to share the resource and post articles that can be viewed by registered user. This community based application provides the platform under one roof to interact with different members which maybe the experts in a particular field or a normal employee for seeking or to give advices. An online space on which anybody can have discussions regarding any research, academic documents or any latest technology free of cost.

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Community forum,Online communities,CNN,Sensitive image

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Creative Commons Attribution 4.0 and The Open Definition

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Mucormycosis, Diabetic Retinopathy, Parametric models, Akaile information criteria, Diabetes Mellitus Type II, Survival Analysis

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Creative Commons Attribution 4.0 and The Open Definition

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Black gram seeds, Xanthomonas axonopodis pv. phaseoli, incidence, phytopathological effects, disease transmission

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Creative Commons Attribution 4.0 and The Open Definition