Volume 8 | Issue 9 |

 Abstract

Concrete technology has made significant advances in recent years which results in economical improvement of the strength of concrete. This economical development depends upon the intelligent use of the locally available materials. The cheapest substitute for natural sand is quarry dust .Quarry dust, a by-product from the crushing process during quarrying activities is one of the materials being studied . The residue quarry fines less than 4.75mm obtained from the crushed quarry rock often termed Quarry dust or Quarry stone dust (QSD) and replacing the natural fine aggregate (NFA) by proportions 0 and 100%.The results indicated that the incorporation of quarry dust into the conventional Concrete mix as partial replacement material to natural sand resulted in higher compressive strength and optimization of sand replacement is 40%.

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 Keywords

Concrete, sand, Quarry dust, compressive strength, Natural sand

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 Abstract

The purpose of morality in Buddhism is to create an environment in which everybody attain nirvana, "when a man gives , his merit will increase, no enmity can grow in the self-restrained. The skilled shun evil; they attain nirvana. By ending greed and hatred and delusion." Here the Buddha follows the path of deontological ethics in daily life.

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AN APPLIED ETHICAL STUDY OF NATURE AND BUDDHISM

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In this paper, a brief review of Artificial Neural Network or ANN in the field of Artificial Intelligence is represented. As artificial neural structure is inspired from the biological neuron that is responsible for transformation of signals in human brain, is explained in this paper. ANN is the network models that make machines more intelligent to act more likely or equal to human beings. The most common choice of leading ANN is the decision-making quality. They are adaptive learning models that work on prior data sets. Biological neuron model plays a vital role in the working guidance of ANNs. The approach of these networks is heading more day by day.

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Artificial Intelligence (AI), Artificial Neural Network (ANN), Activation Function (AF), information processing system, neurons, back-propagation algorithm, learning rules.

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Introduction: Maxillary premolars have a complex and variable anatomy and are the only tooth that shows eight configurations of the Vertucci classification. As they correspond to the adjacent maxillary molar in morphology, maxillary second premolars with 3 roots are called �small molars or radiculous�. Endodontic success in teeth with a number of canals above that normally found requires a correct diagnosis and careful clinical radiographic inspection. Case description: This case report aims to describe the endodontic management of a maxillary second premolar with three roots and three canals. Canals were enlarged up to ProTaper F2 size by instrumenting 1 mm beyond the apical constriction. Irrigation was done with 3% sodium hypochlorite and 17% EDTA gel was used as a lubricant and obturation was done with guttapercha points and AH plus sealer using single cone technique Conclusion: This case report presents the management of a patient who presented with the uncommon anatomy of three root?canaled maxillary second premolar. One of the cause for failure in endodontic treatment is incomplete obturation and unnoticed canals. Clinical thoroughness and early identification of aberrant tooth morphology assist in refraining possible mishaps.

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Anatomy, maxillary premolar, radiographs, root canal preparation, access cavity.

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Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. Researchers have been trying to understand the mechanics of GA parameter interactions by using various techniques. It still remains an open question for practitioners as to what values of GA parameters (such as population size, choice of GA operators, operator probabilities, and others) to use in an arbitrary problem. Genetic algorithm (GA) parameters are explored to minimize the time needed to find a solution. The basic GA code stays the same throughout the entire system. Variable parameters include mutation rate, crossover rate, crossover operator, number of generations, population size, etc. When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria, selection operator and pressure, and fitness function to be used in order to solve the problem. This paper tests a relationship between (1) size of the initial population, (2) mutation probability, and (3) number of generations in runs of Genetic Algorithm for solving the TSP.TSP is an NP-hard problem, so using the Genetic Algorithm we can find a solution in a reasonable amount of time. In this thesis we describe the results of the solution for the Traveling salesman problem (TSP) for Kosovo municipalities, using the genetic algorithm, with different settings for the parameters of the Genetic Algorithm.

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Genetic Algorithms, TSP, Parameter Selection, Initial Population, Crossover, Mutation

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Forensic video/Image analysis techniques are used many times to perform visual data analysis. Video/Image forensics analysis is considered to be important to show that images and videos which are to be used as potential evidence in court of law are verifiably true / authentic. The popularity of digital devices such as smart mobile devices and also due to increasing number of low cost surveillance systems, several forms of visual data are widely being used in digital forensic investigation. Digital videos are used most of the times as key evidence sources in evidence identification, analysis, presentation, and report. A Deep Learning based forensic video/image analysis framework can be developed that employs an efficient video/image processing techniques using deep learning, such as object detection framework YOLO V3, CNN based summarization of videos, enhancing algorithm for the low quality of video footage analysis which consists of adaptive video enhancement algorithm based on Contrast Adaptive Histogram Equalization (CLAHE) technique, Contrast Exposure Fusion Algorithm, Dynamic Histogram Equalization (DHE) which are termed to be useful in order to improve the quality of visual data for the use of digital forensic identification & investigation. The technique of Video/Image tampering detection using state-of-art techniques and textual enhancement are also termed to be important in order to assist in truthful analysis of visual data evidence. The framework would deploy recent techniques and algorithms which will assist examiner to perform visual analysis of evidence data.

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Video/Image Analysis, deep learning, object detection, Enhancement Algorithm, CNN based Video summerization, tampering detection.

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Year 2020 has been a difficult time for every country. COVID-19 has impacted every country in many ways such as increasing Covid-19 cases, downfall in the economy and increasing unemployment. To avoid such situations, the government of India has started a campaign known as #vocalforlocal, which means people should now start buying and manufacturing products in the domestic market. Since the outbreak of coronavirus disease, consumers have started shifting more towards local products or quality products. People in India started to avoid Chinese products, leading to a fall in the demand for Chinese products in the market. The perception of Indian consumer has shown a significant change towards paying more money for buying the quality product. There has been a lot of things going on between India and China since the Pandemic. They are either related to COVID-19 or National Security. Seeing the shift in the graph, we took a survey of around 100 plus consumers to know the factors that are impacting these markets. Digging into the situation and experiencing these things ourselves, we researched the Perceptions of Indian Consumers towards Chinese products during Covid-19 and the factors which are affecting these behavioural changes.

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 Keywords

Consumer Behaviour, Pandemic, Global Crisis, Economy, Trade etween Countries, International Markets, National Security, Industrial goods, Non-industrial goods, Income, Expenditure, Coronavirus, Purchasing Power, Covid19

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Polycystic ovary syndrome (PCOS) is a common metabolic-endocrine disorder in women and is associated with several metabolic morbidities. Despite the relatively high prevalence, the etiology and natural history of PCOS are not well understood. Current theories suggest that increased risk of PCOS may involve a combination of genetic susceptibility and a myriad of environmental factors, including diet, lifestyle, and social aspects. Often coined as a "lifestyle disease," PCOS is becoming a growing concern of physicians and women alike. Lifestyle, stigmas, taboos, PCOS's effect on identity, and quality of life are worthy of examination. In India, 20-25 percent of Indian women of fertile age are suffering from PCOS. It is crucial to understand how India's social and cultural climate affects the health-seeking, diagnosis, and treatment of women with PCOS and how these factors contribute to its increasing prevalence. Unhealthy lifestyle, diet, lack of exercise, stigmas, and low awareness impact the health outcomes of women who suffer from PCOS. Females are socialized in such a way that they abstain from talking about the biological changes of their bodies, even with their own mothers. Undoubtedly, health professionals and social workers must endeavor to end these fears and insecurities in women and eventually look forward to a more open and inclusive society that identifies and learns more about PCOS and its victims.

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PCOS, Women, PCOD,Fertile

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Abstract The aim of the present paper is to analyse the responsibility of the teacher towards the holistic development of his students. In India, teachers are instrumental in developing an integrated nation irrespective of diversity. Classrooms are the places where students gain knowledge and information which generates an eager curiosity to explore the world they live in. A teacher is accountable for leveraging and maximising teaching methodology in shaping and structuring the student�s mindset in a manner that will enable him to establish an ever shrinking world. An effective teacher shoulders the arduous responsibility of interacting with a large number of students as a single unit. He has to fully comprehend that he is dealing with students from dissimilar backgrounds, each with their unique tradition of culture, upbringing, religion, attire and language. This paper is mainly based on secondary data. This paper focuses on challenges faced by teachers in the present scenario where ethics should be of paramount importance in nurturing intellectually healthy adults. It is researcher�s endeavour to explore various strategies in implementing techniques wherein the teachers are a medium who create a neutral environment for the students thereby attaining the desired outcome.

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Challenges, development, responsibility.

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Forty-nine bread wheat genotypes were studied under rainfed conditions at three locations namely, Chena, Masha and Shey Bench, each of varied agroecologies in southwestern Ethiopia during 2017 and 2018 with the objective of estimating their genetic variability, heritability and genetic advance using 7x7 simple lattice design. Data were collected for 12 agronomic characters. The analyses of variance showed highly significant differences (p<0.01) among wheat genotypes for all traits studied in all the locations except for the number of effective tillers per plant at Chena and biomass yield at Masha wherein genotypes had significant differences only at p<0.05 level and the number of spikelets per spike at Shey Bench wherein genotypes had expressed a non-significant difference. The phenotypic coefficients of variation (PCV) were relatively greater than those of genotypic coefficients of variation (GCV) for most of the characters studied at all the three locations; however, the magnitudes of the differences were relatively high for the number of tillers, number of kernels per spike, biomass yield and grain yield. High heritability coupled with moderate genetic advance (as percent of mean) were observed for days to heading, days to maturity, spike length and grain filling period at all locations. Therefore, any improvement of these characters would result in a substantial increment in grain yield in regions of southwestern Ethiopia which are otherwise rich in natural resources but poor in their efficient utilization.

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 Keywords

Bread wheat, GCV, genetic advance, heritability, PCV, variability

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