Volume 10 | Issue 8

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Access, Mental Health, Higher Education, Dropout, Further Education, Widening Participation.

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Bancassurance, Integrated Promotional Strategies, Customer's Perception

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The inappropriate identification of a menace, such as ballistic missiles, poses a serious danger to defence system analysts. Thus, it poses a huge risk and puts the defensive capability of fighter aircrafts under test. Due to the surrounding environment, Radar provides noisy measurements. We propose the utilization of the Kalman Filter to estimate and track the location of missile for capture attempt by terminating countermeasures. The Kalman Filter produces estimates of hidden variables based on inaccurate and uncertain measurements. It also provides a prediction of the future system state based on past estimations. The Extended Kalman Filter is a broadened version of the Kalman Filter where non-linearity is approximated utilizing the first or second order derivative. Both the filters utilize similar methods however Extended Kalman Filter beats the constraints of Kalman filter. The aim is to estimate the states (position, velocity) of the ballistic missile. In this paper a mathematical model for the target will be developed, simulated and the noise corrupted data will be filtered using Extended Kalman Filter. The performance of the filters will be shown in the results.

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Ballistic Missile, Kalman Filter, Extended Kalman Filter

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Asana, cardio respiratory endurance and vital capacity

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Economists have invested considerable time and effort in investigating the market efficiency hypothesis. It can be viewed as an effective way to guide investors while trading in the securities market. An analysis of the Indian stock market is conducted to determine whether it is efficient if the stock returns follow a random walk. In this study, daily closing prices of 15 companies listed in NSE Nifty 50 and 7 sectoral indices for the period 1st April 2008 - 31st March 2018 are used. The run test has been used to investigate whether NSE Stocks and Index were efficient in the weak form during the testing period. According to the results, Indian stock prices do not reflect all the information in past stock prices, allowing investors to exploit market inefficiencies and achieve abnormal returns.

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Indian Capital Market; Efficient Market Hypothesis: Random Walk Theory; Run Test; Stock Market; Financial Management

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Looking to the preceding statistics of earthquakes, there might also be expansion indoors the hobby of quake opposing constructions which can additionally be fulfilled with the resource of giving the shear wall frameworks indoors the structure. Furthermore inferable from the foremost quakes interior the new taps the codal preparations up to date and executing increased weightage on seismic tremor trend of construction. Typically shear divider will be illustrated as the underlying vertical area that is equipped to oppose a combo of shear, 2nd and hub load iatrogenic by means of the usage of parallel burden and gravity load pass to the wall from a range help. This search for work services on the correlation of seismic investigation of personal constructions making use of supporting and shear walls. The investigation of the developing is conveyed in each and every of the four seismic which are Zone III and Zone IV. This investigation consists of draw close the key elements to blame for the improvement to function severely in the direction of a seismic tremor, with the intention that they accumulate their smart attributes for the in addition quakes. Demonstrating of the design will be carried out by STAAD professionals. V8i programming. Times pan of the diagram in bidirectional is reestablished from the programming itself truly in accordance to IS 1893(part 1):2002

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Displacement, axial force, bending moment, base shear, STAAD professional V8i software

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Deep learning for predicting stock market prices and trends has grown much more popular than before in the age of big data. In order to predict the price trend of stock markets, we collected two years' worth of data from the Chinese stock market and provideda thorough customisation of feature engineering and deep learning-based model. The preprocessing of the stock market dataset, the use of various feature engineering approaches, and a customized deep learning based system for stock market price trend prediction make up the suggested solution, which is complete. We thoroughly assessedseveral popular machine learning models and came to the conclusion that our proposed solution outperformed the m thanks to the thorough feature engineering we developed. The method predicts stock market trends with good overall accuracy. This work adds to the stock analysis research community in both the financial and technical areas through the thorough design and evaluation of prediction term lengths, feature engineering, and data pre-processing techniques.

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LSTM, SVR, MSE, MAE, RMSE

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Technology is one of the precept driving forces in gift international, it's miles reworking our lives and shaping our destiny. Various new technologies are making every day existence greater comfortable in their personal ways, one such generation is cloud computing. A cloud as many blessings like safety, flexibility and fee effectiveness, because of which it could be used in lots of packages. One such software is in embedded device. In this paper we're offering an utility of public cloud incorporated which embedded structures. Traditional avenue barriers are constant to their role which makes handling of visitors difficult throughout top hours. So, to overcome this we got here up with an concept of making movable limitations. This paper targets to provide a greater efficient way of solving problems going on with the existing structures. By the use of the cloud era, we are trying to help the commuters who face issues achieving their vacation spot in an efficient manner.

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Movable divider, Low-Cost Material, Recycle Reuse Plastic, Traffic Volume, Speed Limit, Safety.

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Abstract: A WSN can have network structure based or protocol operation based routing protocol In wireless sensor network, Routing can be divided into Flat Routing, Hierarchical Routing, Location - aware Routing. Hierarchical Routing can be further divided into two parts: Dynamic and Static Hierarchical Routing or Clustering based routing. Dynamic Clustering based protocols are those in which the clusters are formed and diminished dynamically. Static Clustering based Routing Protocols are those in which clusters once formed remain same throughout the network lifetime. In our paper, we discuss all Dynamic and Static Clustering based Routing Protocols and its pros and cons. A Wireless sensor network is an infrastructure comprised of sensing (measuring), computing, and communication elements that gives an administrator the ability to instrument, observe, and react to events and phenomena in a specified environment. The administrator typically is a civil, governmental, commercial, or industrial entity. The environment can be the physical world, a biological system, or an information technology (IT) framework. Routing is very difficult in wireless sensor network due to a large number of sensor nodes. Keywords: Wireless Sensor Networks, Network Lifetime Routing Protocols, Routing challenges, WSN applications.

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Keywords: Wireless Sensor Networks, Network Lifetime Routing Protocols, Routing challenges, WSN applications.

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Abstract Environment Protection is a major issue of all time. Still, Environment damages are the rewards for human beings. As observing the environmental degradation mainly in the form of various types of pollution that is water, air, soil erosion, deforestation, etc. For such types of degradation, establishing industries for economic development would also be one of the reasons.The degradation of the environment not only diminishes economic productivity but also disturbs the environment, but the need for economic development and human being quality of health is also essential. Therefore, environmental accounting is essential and plays an important role to make the balance between economic productivity and environmental protection. Green accounting is a new system of accounting that records costs and it is rendered by the ecosystem to the business concern. Green accounting is also known as environmental accounting. Green accounting or environment accounting is a tool to express the damage from business activities and the benefits of the natural environment. So the present would like to throw its light on the concept of green accounting and its importance in the present scenario. And also the study would try to explore more and more unknown things about green accounting and environmental accounting to create awareness about it and thereby give emphasis on conservation and protection of the environment. The present reviewed some articles written on the green accounting system. The study also tries to show the importance of financial accounting, corporate social responsibility, and green accounting in the balanced positive importance of achievement of environment protection and economic development.

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EPA

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python programming, Jupiter notebook, accuracy, machine learning algorithm, supervised, unsupervised.

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This article deals with the evolution of ideas of Natya Shastra the epic by Bharat Muni which contains an elaborate analysis of the sources of the aesthetic pleasure that one drives from seeing a performance. The primary and sole aim of this article is to highlight the coming of theaters in the era f Post-Independence in India when the feeling of nationalism was also taking birth. Along with the views like radicals and revisionists comes into the frame as well. Along with that this article links the anti-colonial sentiments with the performances affected during the social turmoil. Different dimensions of contemporary modern Indian theater have been highlighted including the relation between the playwrights and directors and similarly with the media of print and performances. In other words, this article traces the coming of theater with the origin lying into historical text of Natya Shastra.

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Theater peformance, historical significance, natyashastra, Bharata Muni

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In this paper, we purposed a near-lossless compression method for medical images to maintain the maximum error limit for each pixel this compression method has a better compression ratio than the lossless compression methods. Transmitting high resolutions data through a network leads to large storage space and Bandwidth. We approached the near-lossless compression method to preserve important diagnostic information for medical images. we purposed a threshold-based Resolution Independent Gradient Edge Detector (RIGED) to predict and decorrelate the image pixels for encoding we used block-based Run Length encoding that encodes the Predicted image into actual values and their numbers of occurrence. The actual image data values are separated from their runs and are stored in a vector array. To implement high compression and better quality of recovered images quantizer with an optimum q level is proposed. To remove inter-pixel redundancy the proposed method uses a resolution-independent gradient edge detector (RIGED) after quantization block-based encoding is used for removing coding redundancy. The proposed method is evaluated on volumetric 8-bit and 16-bit standard MR image data-set The performance of the proposed technique showed improvement over the existing techniques SPHIT, JPEG-LS, and JPEG 2000by 40.89%, 34.50%, and 22.36% respectively in terms of Bits per Pixel (BPP).

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Near-lossless compression. Quantizer, Gradient edge detector. Run Length Encoding. Entropy coding.

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Background: Depression has become the number one mental disorder worldwide. It has been shown that subjects with depression exhibit different spatial responses to neurophysiological cues from healthy controls when exposed to positive and negative stimuli. Methods: We propose an efficient EEG-based detection method for classification of depression using spatial information. Thirty participants, including 16 depressed patients and 14 healthy controls, were given a face-to-face task that included positive and negative emotional facial expressions. Differential entropy and genetic algorithms are used for feature extraction and selection, and support vector machines are used for classification. A task-dependent common spatial pattern (TCSP) has been proposed to enhance the spatial disparity before feature extraction. Results and Discussion: We obtained TCSP positive and negative stimulus classification scores of 84% and 85.7%, respectively, which were statistically significantly higher than those obtained without TCSP of 81.7% and 83.2%, respectively (p < 0.05). We also evaluated the classification performance using individual frequency bands and found that the contribution of the gamma frequency band dominates. Furthermore, we evaluate various classifiers, including k-nearest neighbors and logistic regression, which show similar trends in classification improvement by using TCSP.

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KNN, SVM, LR, LOSO CV, LSTM

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SARS-CoV-2 virus has been found to affect millions of people worldwide. It is presenting increased health and economic challenges for all the countries as a pandemic by infecting and killing a large population. Despite the considerable morbidity and mortality linked with SARS-CoV-2, no proven treatments or totally preventive strategies are available. As a result, it is very necessary to understand the pathobiological processes associated with the increased risk for and severity of SARS-CoV-2 infection. The pathogenesis of COVID-19 has been linked with three common factors including excessive inflammation, impaired immune system, and a set of pro-inflammatory cytokines. The nutritional status of COVID-19 patients has been found to be responsible for their health status, and various nutrients including vitamin A, D, C, E, B6, B12, Folate, iron, copper, zinc, and selenium, are known to boost up the immune system. These nutrients are essential for a better immune system. Thus, we can assume that the supplementation of these specific nutrients might be beneficial in protecting and speeding up the treatment of COVID-19 patients by improving the immune response against COVID-19 infection. Several damaging effects on immunological, microbiological, hematological system are noticed in COVID-19 patients that are also found in peoples having B12 deficiency. B12 deficiency might be responsible for the chance of death from COVID-19 via inducing impaired immune system, and causing hyperhomocysteinemia. In this review, we explore the current knowledge of COVID-19, pathogenesis of COVID-19, highlight the general cause of B12 deficiency, and shall explore the possible role of B12 deficiency in COVID-19 susceptibility and severity.

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COVID-19; Pathogenesis; Micronutrients; B12 deficiency; Treatment.

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History of the world is the history of migration - As a result of partition in 1947, India gained independence. India and Pakistan were born. Immigration was widespread in both countries. (According to the United Nation High Commission for Refugees, the longest mass exodus in the history) The worst affected areas were the Indian state of Punjab and West Bengal. Although Punjab has largely solved the refugee problem, there was a steady influx of refugees in West Bengal. And the refugees who were forced to come to West Bengal form East Pakistan, (Now Bangldesh) they came to this country and suffer. The crisis of their existence arose, and by organizing them, a number of refugee organizations were formed to assert their demands to the government. Among them, the Communist Party of India ( CPI) and the left leaning organization UCRC ( United Central Refugee Council) and the Praja Socialist Party ( PSP) and other socialist party controlled organization SBBS ( Sara Bangla Bastuhara Samiti) played an important role in solving the refugee problem. Where UCRC increased its influence mainly in the city of Calcutta/ Kolkata. They were mainly active in realizing the demands of the refugees of forcibly occupied colony. In other hand, the SBBS was played a major role in realizing the demands of the refugees in the government camps. Although dissent was caused problems in the refugee movement, but the role of the UCRC and SBBS was undeniable

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Partition, Refugee Movement, West Bengal, UCRC, SBBS

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The aim of the present investigation is to study the Relationship between Workplace Friendship, Interpersonal Communication and Job Satisfaction among college faculties. Accordingly, a group of 70 college faculties residing and working in colleges in Kolkata, India was selected as sample. The age of the participants varied from 30 to 45 years with a mean age of 38 years. The respondents consisted of equal number of males (35) and females (35). A Consent Form, Information Schedule, Workplace Friendship Scale, Interpersonal Communication Inventory and Job Satisfaction scale were used as tools. A quantitative analysis was performed by conducting Descriptive statistics, Spearman's Rank Correlation Coefficient (rs) and Regression Analysis. Findings revealed that there is a significant relationship between all the variables included in the study i.e., Workplace friendship (both Opportunity of Friendship and Prevalence of Friendship) and Interpersonal Communication, Workplace friendship (both Opportunity of Friendship and Prevalence of Friendship) and Job Satisfaction, Interpersonal Communication and Job Satisfaction. Adding to this Opportunity for Friendship was found to be the only significant predictor of Job Satisfaction among the college faculties.

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workplace friendship, interpersonal communication, job satisfaction, college faculties, higher education.

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Social networking sites now a days becomes necessities for living in a society. It makes us aware about what is happening arounds us and with our kith and kin. This study was conducted to determine the usages pattern of social networking sites and its impact on academic achievement of post graduate students. The present study comes under ex-post facto research method. The researcher selected hundred post graduate students of Ramadebi university and Ravenshaw university by using random sampling technique and developed questionnaire for collection of data.

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usages, social networking sites, academic achievement, post graduate students

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Eco-feminism, child-widows, molestation, misogyny, feminism, women empowerment

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