Volume 9 | Issue 7

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Creative Commons Attribution 4.0 and The Open Definition

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(a) Ad libitum (b) Bonny light crude (c) Haemorrhage (d) Alveolar spaces (e) Ocimum gratissimum

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The present research study was conducted for the adaptation and re-standardization of PSYCAT PRO, a multi-dimensional measure of human psychometrics that quantifies and infers the levels of patience, planning, emotional status, tactful behavior, attitude, social sense, attitude, obsessive behavior and intellectual levels of individuals. The adaptation of psychological instruments is a complex process that requires a high methodological standard. Test adaptation is a descriptive of the process that usually takes place in terms of revising, adapting and formatting. It is a practice which is judged as an important one for conducting and evaluating the adaptation of psychological and educational tests. Aspects regarding the factorial structure of the questionnaire evaluated through statistical procedures such as exploratory factor analysis were considered. The empirical evidence such as reliability, item analysis, and validity were also duly taken into consideration. The new version of PSYCAT is found to be equally and statistically valid for a wide range of population including professionals as well as students above the age of 18 years.

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Adaptation, psychometrics, reliability, revision, validity

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In India, Scheduled Tribes constitute 8.6 percent of total population numbering 104.28 million (Census of India, 2011). More than half of the Scheduled Tribe population is concentrated in the States of Madhya Pradesh, Chhattisgarh, Maharashtra, Odisha, Jharkhand and Gujarat. The Tribes generally reside in isolated places situated in remote areas of forests, islands, hills etc. These communities are not able to access basic facilities such as schools, hospitals and other amenities due to their remoteness. All these factors have led to the socio-economic backwardness of the community.

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Scheduled Tribe, Population, Community

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Deformation monitoring represents a crucial issue in order to avoid catastrophic failures due to infrastructure aging or earthquake damages. Differential SAR Interferometry (DInSAR) is a technique suitable for critical infrastructure monitoring, also for the availability of free data and tools that can be used by experts in SAR remote sensing and also by geologists and civil engineers, after having acquired the right confidence and experience in these data processing and tool use. In order to apply the DInSAR technique, in its basic and simple version, to critical infrastructure monitoring, it is very important to assess its performance. Nevertheless, validation results are not largely available in literature, because heterogeneous technical competencies are required to this aim and in situ measurements must be collected and made available. In this paper, we propose a highly reproducible DInSAR workflow that can be effectively used for deformation monitoring, by validating its results with in situ measurements.

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Deformation monitoring, Differential Synthetic Aperture Radar Interferometry (DInSAR), geohazard ssessment, image coherence, result validation, Sentinel-1.

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C.A. Certification

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This project is mainly proposed for reducing the power loss in industries by using power factor compensation through a number of shunt capacitors. Power factor is defined as the ratio of real power to apparent power. By increase in reactive power increases the apparent power so the power factor decreases. By having low power factor the industry needs more energy to meet its demand hence efficiency decreases. In this system, the output from step down transformer are fed into ZCD which converts sinusoidal waveform into square waveform to be used by microcontroller. Op-amp is used as a comparator for the ZCD circuit. Microcontroller displays the power loss due to inductive load on the LCD. This process is continuously actuate until the power loss would be zero by using relays which is used to bring the shunt capacitors into load circuit.

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Power factor, Industries, Microcontroller, ZCD, Shunt Capacitors, Op-Amp, Transformer, APFC

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The main objective of project is to compare conventional Seismic analysis and lead rubber bearing system. While no structure can be entirely immune to damage from earthquakes, the goal of earthquake resistant construction is to erect structures that fare better during Seismic activity than their conventional counterparts. The installation of isolators at the base increases the flexibility of the building structures. In present study Modeling and analysis of P+10 storey RC building is done in ETBS 19.1 version software for two cases. The first one is fixed base and the second one is base isolated, one vertical irregular model is considered and analysis is done by equivalent static and response spectrum method. The Lead rubber bearing (LRB) is designed as per IS and UBC 97 code and the same was used for analysis of base isolation system. The results obtained from analysis were Storey displacement. Damper systems are designed and manufactured to protect integrities and structural damages and to prevent injuries. There are many techniques to make seismic resistant structure. The base isolation technique is used in this project to resist against earthquake. Lead Rubber Bearing is a new type earthquake resistance rubber bearing, formed by inserting lead core into ordinary laminated rubber bearing, vertical supporting, and horizontal displacement and hysteric damping are combined in single unit together.

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Base isolation, Lead rubber bearing, Equivalent static method, Response spectrum method, storey displacement, shear store, base shear

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multiculturalism, liberal politics, migration, assimilation, integration, right wing politics

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In order to ensure a company's Internet security, SIEM (Security Information and Event Management) system is in place to simplify the various preventive technologies and flag alerts for security events. Inspectors (SOC) investigate warnings to determine if this is true or not. However, the number of warnings in general is wrong with the majority and is more than the ability of SCO to handle all awareness. Because of this, malicious possibility. Attacks and compromised hosts may be wrong. Machine learning is a possible approach to improving the wrong positive rate and improving the productivity of SOC analysts. In this article, we create a user-centric engineer learning framework for the Internet Safety Functional Center in the real organizational context. We discuss regular data sources in SOC, their work flow, and how to process this data and create an effective machine learning system. This article is aimed at two groups of readers. The first group is intelligent researchers who have no knowledge of data scientists or computer safety fields but who engineer should develop machine learning systems for machine safety. The second groups of visitors are Internet security practitioners that have deep knowledge and expertise in Cyber Security, but do Machine learning experiences do not exist and I'd like to create one by themselves. At the end of the paper, we use the account as an example to demonstrate full steps from data collection, label creation, feature engineering, machine learning algorithm sample performance evaluations using the computer built in the SOC.

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Django, HTML,j ava

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To compare the performance of various NSE indices with Nifty Midcap 100 and understanding how investing in an ETF or an index fund of Nifty Midcap 100, could have created wealth for the investors. The tools & techniques used for the study are correlation, Sharpe ratio. The returns are calculated using monthly rolling returns for 1 year, 3 year and 5-year period. Based on the study, it is proven that the performance of Nifty Midcap 100 is better than other Nifty indices like Nifty 50, Nifty Small cap 100. However, the performance of Nifty Next 50 is better than all other indices in the study.

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Sharpe Ratio, Correlation, Monthly Rolling Returns, Nifty Midcap 100, Nifty 50, Nifty Next 50, Nifty Small cap 100

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This paper deals with the idea of development of this new deep learning algorithm suitable for predicting lung diseases from x-ray images. The technology may be able to read and process extremely large amounts of scans. The study of using different deep learning for detection of various thoracic diseases has been an active and challenging research area. Patients suffering from thoracic diseases need to take Chest X-Rays which are studied by radiologists and a report is generated by them. However, today with the increase in the number of thoracic patients in developing countries like India, a quick method to classify the disease and generate the report has become necessary. Also, a patient record has to be considered for diagnosis. The algorithm which is used in this paper offers a comparative study on the various deep learning techniques that can process chest X-rays and are capable of detecting the different thoracic diseases. Also, this algorithm has been proposed to classify 14 diseases namely Atelectasis, Cardiomegaly, Consolidation, Edema, Effusion, Emphysema, Fibrosis, Hernia, Infiltration, Mass, Nodule, Pneumonia, Pneumothorax, Pleural thickening and one for no disease based on the given X-rays using Convolutional Neural Network.

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Deep Learning, Data Set, Tensor Flow, Accuracy, CNN, X-Ray, Neural Network

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One major basic right is clean air that is integral to the concept of citizenship and it's while not a doubt, the responsibility of every subject to try to do his/her half to stay the air clean. Air quality prognostication has been looked into because the key answer of early warning and management of pollution. During this paper, we tend to propose an Associate in nursing air quality prediction system supported by a machine learning framework known as the sunshine GBM model, to predict air quality. This model, trained victimization lightweight GBM classifier, take meteorology knowledge jointly of sources for predicting the air quality thereby increasing the prediction accuracy by creating full use of obtainable abstraction data. the prevailing air quality observance stations and satellite meteorologic knowledge offer period air quality observance info that is employed to predict the trend of air pollutants within the future. The projected system was found to administer Associate in nursing accuracy of ninety-two

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Air Pollution, Decision Tree, Linear Regression, Machine Learning, Random Forest, Supervised Learning, SVM.

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Key words: Bharathanatyam, culture, challenges, opportunities, pedagogy etc.

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Nanorobotics is the technology of producing robots or machines with very small scale or miniscule of a nanometer (10-9 meters), machines constructed at the molecular level (Nano machines) may be used to detect or identify and cure the human body of its various diseases like cancer. Nano robots are very good accuracy they perform a specific task with great accuracy and precision at very small scale or nanoscale dimensions. Nano robots are especially used for studies on treatment of varies diseases like osteosclerosis, cancer treatments. Nanotechnology offers many applications such as microscopic robots that assemble other machines or travel inside the body to deliver drugs or API or do microsurgery. Current treatment includes surgeries which are considered outdated when compared to nanotechnology or nanorobotics technology

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Nano robots, Biochip, Nubots, Nano swimmers, Treatment, disease.

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In medical field we come across huge amount of images in the forms of scans, reports and so on. Hence, we need to compress the data we come across due to the factor of storage space. Diagnosis of medical image requires detailed analysis of vital portion of the image. In medical image compression, a small loss in the vital portion leads to wrong interpretation. The proposed compression scheme will eliminate this problem by utilizing region based compression which results in the lossless compression of requisite area, where the salient details are stored and lossy compression in the remaining region. In this method, region which contains most required diagnostic features is separated and then encoded without significant loss in diagnostic quality using block based Burrows- Wheeler compression algorithm. Remaining regions are encoded using hybrid fractal encoding algorithm. Finally, both encoded regions are combined together to reconstruct the output image. The performance of the compressed scheme is evaluated in terms of PSNR (Peak Signal to Noise Ratio), CR (Compression Ratio), space saving and time consumption.

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PSNR, Hybrid fractal encoding, PSNR, MSE, CR, BWT-MTF.

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A philosophical theory or approach which emphasizes the existence of the individual person as a free responsible agent determining their own development through acts of the will. The form of a philosophical enquiry that explores the problem of human existence and centres on the lived experience of the thinking feeling acting individual a primary the existentialist thought is authenticity this term is associated with several 19th and 20th century European philosophers who shared the human subject despite profound Doctrine differences. Existentialism is a work in the character of Yank. Yank, the protagonist of the play The Hairy Ape by birth does not hold any qualities. It is the decision that he has taken constitutes his own qualities. Yank's mind is obsessed bitter experiences which drives him agitated.

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Existentialism, Theatre of Absurd, Social Criticism, Atheism and Religion, Anxiety, Alienation.

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The Placement Management System is developing as an attempt to Keep track of companies and students by restricting such a large database to that of a specific class of students or companies.The System provides the facility of viewing both the personal and academic information of the student and company You can also search for eligible students or companies, or admins can insert or delete Records. in this paper we are explaining how the management system was built using Android studio , HTML ,CSS ,XML and JavaScript etc.

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Placement, Android Development, Training ,Web Development.

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The paper is about today's scenario of building a workspace remotely away from the traditional office setup. The various challenges that are turning up towards the same both for the employees, the Managers, the organization and as a whole for the HRM. The study of various relationships of peer-peer, employee-manager, employee-family, family-organization, work-output, employee-stress. It emphasizes on the new concept of Work from Home which is attracting and influencing the employee behaviour and creating a new facet towards the job. In this midst of the crisis, where the whole world is confronting with Covid-19, to keep up the economic growth and the competitiveness most organizations have resorted to find a replacement to the age-old practice of working in a structured work station with the concept of work from home or work from remote space. Establishing the several factors affecting Work from home and the role of HR.

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Flexible timing, motivation, work life balance, work performance, stress, telecommunication

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