Volume 9 | Issue 3 |

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BUDDHIST EDUCATION IN THE NORTH-EAST THEN AND NOW

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Mobile Communication Application have emerged as an important segment of overall development of students and so far have delivered value to the students. The use ofMobile Communication Application Particularly Whatsapp would help towards making the student more vibrant, creative and competitive. Since, the need of study has been aroused in order to see the factors influencing the students to prefer Whatsapp in Bhavnagar . The study is based on the formulation of the following hypotheses: Hypothesis 1: usage of Whatsapp and Education are 2 independent attribute of the students. Hypothesis 2: usage of Whatsapp and Sex are 2 independent attribute of the students. In order to study the factors influencing the retail investors to prefer extracurricular activity in Bhavnagar, chi-square has been used.

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Whatsapp, Mobile Communication

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High?performance liquid chromatography, Ultraviolet, International Conference on Harmonization, Abacavir, Lamivudine, Human immunodeficiency virus, Acquired immunodeficiency syndrome, Retention time, Standard deviation

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Absenteeism, Investigation, primary research, monitoring, recording, strive for zero tolerance

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The health care trade is manufacturing large amounts info} which require to be mine to find hidden information for effective prediction, exploration, identification and deciding. Machine learning techniques will facilitate and provides medication to handle this circumstances. Moreover, Chronic nephropathy prediction is one in every of the foremost central issues in medical deciding as a result of it's one in every of the leading reason for death. So, machine-driven tool for early prediction of this sickness are helpful to cure. the info set regarding kindney sickness details ar gathered up from four personal hospitals in province state of Asian country. the most aim of this analysis is to guage a number of the algorithms within the prediction of nephropathy condition dataset performance. The oft used classification rules comparable to J48 algorithm, CART rule and SVM rule ar used to carry out for the prediction of nephropathy condition dataset performance. The operation of those algorithms is examined supported their accuracy of solutions. Too, the operations of those algorithms were compared with each other by means that of classification accuracy, compared that algorithms best performance.

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kidney Dataset, Classification Algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

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this study aims to investigate the mediating effect of enterprise resource planning between production cost and improving performance of Yemen pharmaceutical companies as well as the impact of production cost on performance and ERP. The cross-sectional method is used by this study. For measuring the impact of ERP on improving the performance, structural questionnaire is used and distributed to 258 employees within the industry. The result shows a significant and positive mediating impact of ERP on production cost and improving the performance of the Yemen pharmaceutical companies. Also confirmed a significant impact of production costs that the variable cost, marginal cost, and total cost on the pharmaceutical companies' performance in Yemen as well as ERP.

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enterprise resource planning, production cost, performance, Pharmaceutical industry, Yemen

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This paper considers the multilabel classification problem, which is a generalization of traditional two-class or multi-class classification problems. In multilabel classification, a set of labels (categories) is given and each training instance is associated with a subset of this label-set. The task is to output the appropriate subset of labels (generally of unknown size) for a given, unknown testing instance. Some improvements to the existing neural network multilabel classification algorithm, named BP-MLL, are proposed here. The modifications concern the form of the global error function used in BP-MLL. The modified classification system is tested in the domain of functional genomics, on the yeast genome data set. Experimental results show that proposed modifications visibly improve the performance of the neural network-based multilabel classifier. The results are statistically significant.

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Classifications, Artificial Neural Networks, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

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2-D and 3-D models can be used for face recognition. The effect of light due surrounding factors can be reduced using 3-D model. But the issue with 3-D model method is that it takes large amount of time for fitting. This makes it difficult to meet real-time requirements. The algorithms usually use 2-D model for recognizing a face. These 2-D images are used for everything as the image captured can be of any distance using appropriate sensors and any illumination scenario. Whereas for capturing an image in 3-D, imaging technologies that currently work are able to do so at very short distances and also suffer from the inability to replicate complex patterns unless they get extremely close to the subject. 3-D imaging is a new technology when it comes to image capturing as its original purpose was to scan and measure objects accurately for aeronautical and scientific applications. Current commercial devices have cameras that can work well with low exposures and bad lighting situations using a combination of 2-D and 3-D imaging techniques that helps in creating incredibly detailed images. Our aim in this paper is to improve low-light camera performance using 2-D face recognition algorithms for extracting facial features captured using older security footage devices with no additional sensors. This paper is aimed to work with video streams as well as images so that plenty of learning and testing data is available to the paper.

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Deep learning, Log-Gabor, LBP, LBPH, CLAHE, Open Face, Weiner, BM3D Filter, Neural Network

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In India, extending the banking services to the underserved and unserved sections of the society has been posing a challenge. Therefore, the concept of Small Finance Bank was concocted to address such challenge and recommended by the NachiketMor committee on financial inclusion. In tune with the Central Budget 2014-15, RBI has started licensing small banks and other differentiated banks in anticipation that they would cater to the credit needs of small businesses, unorganized sector, low income households, farmers and migrant work force. This study, in a nutshell, attempts to analyze the various parameters in the operations of the Small Finance Banks.

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Small Finance Bank, Indian Economy financial inclusion, low income, migrant work force

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ABSTRACT Plant extracts and their constituents are one of the potential approaches that are used for the prevention and treatment of a large number of disorders. Herbal products and herbal food supplements are the chief components of plant extracts, those are very helpful in retaining healthiness, performing against a range of diseases and they support the good quality of being. Diabetes mellitus is, a multi factorial chronic metabolic disease causes high blood glucose level, one of them. The systematic researches of the traditional and recent herbal therapies for diabetes give precious leads for the progress of alternative new medicines and therapeutic approaches. Alternatives are required due to the incapability of modern approaches to organizing all of the pathological aspects of diabetes, and the poor availability and high cost of existing therapies for several country populations. This review summarizes the recent and traditional plants with verified antidiabetic potential in pre clinical and clinical studies for synergistic management of diabetes.

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Antidiabetics drugs, diabetes mellitus, herbal and natural products

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Creative Commons Attribution 4.0 and The Open Definition