Volume 9 | Issue 3 |

 Abstract

Data Mining refers to the mining of information from a large amount of data. It is the process of discovering interesting patterns and knowledge from massive data. Clustering analysis is used to find these interesting patterns or to group similar and dissimilar data. This dissimilar data can be called outliers. Outlier detection refers to the problem of finding out the patterns in the massive datasets that do not show the accordance with the generalized expected behavior. Outlier detection and analysis is sometimes known as outlier mining which means the mining of outliers.

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 Keywords

Outlier Detection, Causes of outliers, Global outliers, Contextual outliers, Collective outliers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ultimate goal of interfaith education and of peace education is for us to learn new ways of thinking and acting, based on mutual respect and shared responsibility, so that the whole human community can live in peace and can enjoy the fruits of a sustainable and equitable development. Let us come together, let us enjoy together, let there be light, let there be no hatred or poison of misunderstanding (Taitreya Upanishad). This is the key for interfaith harmony and peace, let us all pray and hope.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Interfaith Understanding, Communal Harmony, Interfaith Dailogue

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Conventional traffic optimization solutions expect that the graph structure of street systems is static and missing for further traffic flow optimization. We are interested in optimizing traffic flows as a latest type of graphbased issue, where the graph structure of a street network can adjust to traffic conditions in real time. Specifically, we focus on the dynamic setup of traffic-lane directions, which can offer assistance in adjusting the utilization of traffic paths in opposite directions. The rise of connected autonomous vehicles offers an opportunity to apply this kind of dynamic traffic optimization on a huge scale. The existing procedures for optimizing lane directions are however not appropriate for dynamic traffic situations due to their high computational complexity and the static nature. In this paper, we propose an effective traffic optimization solution, called Coordinated Learning-based Lane Allocation (CLLA), which is appropriate for dynamic setup of path directions. CLLA comprises of a two-layer multi-agent architecture, where the bottom-layer agents use a machine learning technique to discover a appropriate arrangement of lane-directions around street crossing points. The lane-direction changes proposed by the learning agents are at that point coordinated at the next level to diminish the negative impact of the changes on other parts of the street network. Our test results show that CLLA can decrease the average travel time significantly in congested street networks. We accept our method is common enough to be applied on other types of networks as well.

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 Keywords

Graphs, CLLA, Reinforcement Learning

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 Abstract

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Symbolism

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Sasan Ultra Mega Power Plant (SUMPP) is located in Sasan village in Singrauli district and has a production capacity of about 3960 MW. Most of the workers in SUMPP belong to the unorganized sector as Reliance Power gives contracts to other private companies. Organized workers in this company can be seen only in Reliance company with all facilities, job securities etc. While other contractual private companies operate under Reliance Power and follow its guidelines, most of the employees are unorganized i.e. helper, rigger, fitter, supervisor, electrician and site in-charge. Out of 220 sample size only 49 workers unemployed and that is about 22 percentages. The correlation coefficient and correlation critical value have been compared to test the null hypothesis and found that there is positive and healthy correlation between overall unemployment rate and the unemployed migrant workers which is statistically significant which states that there is relation between total unemployment and migrant workers unemployment. In case correlation between overall unemployment rate and the unemployed localized workers which is not statistically significant as its critical value is more than the correlation coefficient which states that there is positive relation between total unemployment and localized workers unemployment but not statistically significant. This study states that there is high impact of COVID 19 Lockdown on migrant workers employment level.

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 Keywords

Lockdown, Localized workers, Migrant workers, unorganized sector.

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 Abstract

Pesticides are the primary source for the achievement of green revolution. All over world pesticides are widely used to avoid the harmful pests from the crops. Bifethrin 10% EC is the synthetic pyrethroid insecticide which acts on nervous system of the target organisms but unfortunately it can show the effects on non target organisms like insects and other invertebrates including those that constitute the base of aquatic and terrestrial food webs. It enters the human systems through the food chain and shows its effects such as headache, nausea, breathing problems and other nervous disorders. The aim of the present studyis to determine the acute toxicity of the chemical Bifethrin 10% EC a synthetic pyrethroid on the fresh water carp Labeo rohita and also to notice behavioural alterations. In the experimental fish the LC50 values of Bifethrin 10%EC for 96hr was observed as 2.2�g/l respectively and the LC50 values were calculated in Finney Probit Method. The effect of Bifethrin on Fish had shown uncontrolled behaviour like schooling, hyper secretion of mucus, decreased agility, increased opercular movements, rapid jerking movements, discoloration of the body, erratic swimming, losing of scales, gasping, lose of equilibrium.

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 Keywords

Bifethrin, Pyrethroid, Insecticide, LC50, Labeo rohita , Toxicity evaluation, hyper secretion of mucus and behavioural studies.

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Creative Commons Attribution 4.0 and The Open Definition

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The COVID-19 pandemic crisis has altered and curtailed the landscape of education leading to a paradigm shift in the teaching-learning process. In the wake of these upending times, two gulfs have emerged unleashing and deepening the wide gap of social inequity that persists in the field of education. Covid-19 has brought the traditional classroom teaching to a standstill. Hostels/dorms are empty and schools/colleges/universities are closed. With online learning being the only prospect available to impart education in this time, it has become imperative to consider significant questions as to how education should be delivered, the challenges in the way of making it all-inclusive and whether online learning will be part of the full-time learning in the longer run. This paper is an attempt to explore these wide-ranging problems and develop a multilateral approach that is assimilated and collaborative to address the social inequities that affect the landscape of education.

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 Keywords

E-learning, Digital Divide, Social Inequity, Pandemic Crisis, COVID-19

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The development of the internet is a platform of information storage and delivery denotes a revolution, which will have a long-lasting effect on the e-publication and distribution of information in the 21st century. The growths of IT have brought e-resources as a boon to research community, are a main source for scholarly communication. As e-resources are available online or offline including papers, review articles, scholarly communications. In the e-environment teaching, learning and research are being maintained by e-resources, are emerging as new prevailing tool. The present study aims to find out the use of digital talking books (DTB) for visually impaired peoples, M.J. Library, Ahmedabad. A well-structured questionnaire was administered to collect the primary data via Google form from respondents. The main aim of this paper is to investigate to the awareness, satisfaction level of visually impaired peoples and suitable recommendations to improve facilities and services related to the use of digital talking books for the blind peoples.

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 Keywords

Digital Talking books, visually impaired peoples User Study, special services of Library, Public library

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Ecopsychology, nature, concern, psyche

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Background: Fungal Corneal ulcreation is more severe than bacterial ulcers and fungal organism (bacilli) will be late to expose hence it causes delayed to diagnose and has to be confirmed by microbiological support. Method: 40 Patients of fungal corneal ulcers aged between 20 to 60 years were studied. Examination was done by slit lamp Bio microscope, visual acuity by smellers chart, Findus examination CBC, HbsAg, Microbiological test by scraping cornea, Fungal Culture was done by using saborouds dextrose agar medium. The fungal ulceration of cornea was managed by topical and systemic fungal therapy in severe cases surgical approach was done. It included Debridement of ulcer, penetrating Keratoplasty, optical penetration, conjunctival flap. Results: The highest size of ulcer was 61-100 square mm and least size was <20 Sq. mm. The most prevalent organism was 14 (35%) Fusarium followed by 11 (27.5%) Aspergillus flavus. The highest visual acuity was 20 (50%) at weeks followed by 13 (32.5%) was PLR, PR + HM. The successful healing on 45th day of treatment was 32 (80%). Conclusion: This pragmatic approach to fungal corneal ulceration with 80% successful outcome will be helpful to ophthalmologist to treat such patients efficiently as cornea is a vascular and transparent covering of Eye ball.

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 Keywords

Biomircoscope, Snellens Chart, Fluorescein staining, Debridement, Keratoplasty conjunctival flap.

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Creative Commons Attribution 4.0 and The Open Definition