Volume 9 | Issue 9

 Abstract

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Dysmenorrhea , Pre menstrual syndrome (PMS), Gynecological disorder, Pharmacotherapy

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Air pollution, APTI, Green belt, tolerant plants, Bio indicators

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Health condition prediction is a machine learning project that is used to detect different diseases that might occur in the future based on the present health condition. Most people are not aware of the symptoms of different diseases. Timely attention and proper diagnosis of different diseases will reduce the mortality rate. Different diseases might occur to an individual (like heart disease, kidney disease, lung disease, etc.). So, in this model, we use different attributes to find whether a person is prone to a particular disease or not based on different algorithms. Supervised algorithms are used for the early prediction of different diseases. Medical data sets contain a large number of features. The performance of the classifier depends on the amount of noisy data in the dataset. We select relevant features to solve this problem. We use KNN, SVM, and logistic regression classifiers for prediction. By comparing the accuracies we select the optimal algorithm to obtain results for our inputs through the user interface.

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KNN, SVM, Logistic Regression, Prediction,

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 Abstract

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Indian Banking Sector, Emerging Trends & Progress and Emerging Economies.

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ABSTRACT: Due to COVID-19 ,whole world is connected digitally. Every single humanoid is accessible,doing their respective work from home. Process of passing authorized and unauthorized data is everyday work now. This led risk of data security and different threats. Now its a everyday news of hitting data breach. Leaked Data can be used for many purposes, and can cause damage for any individuals. The data leakage can be unintentionally or intentionally for the third party. In this paper, I have explained what is data leakage and major problem of data security. Also ,threat by the guilty party and furthermore some prevention and future anticipation.

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Data leakage, Data Security, threat, Data Breach, prevention

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In present construction scenario, concrete blocks are well accepted units to build foundations, walls, arches and corbels. Concrete blocks have various types like solid, hollow, pavers, tree-guard blocks and they have wide range of applications like in load bearing structures, in framed structures, as ground laying units, etc. The present study focuses on another concept of interlocking blocks which is known as Dovetail joinery technique. This is the mechanism of interlocking blocks of two pieces of jigsaw puzzle. Each block of interlocking mechanism features a projection at one end and a depression at the opposite. It has its resistance to being pulled apart i.e. tensile strength high. This emphasizes to use this joint where the members are in tension like retaining walls where the use of precast concrete blocks can be advantageous. Ansys software is used for the optimization of geometry of moulds of the block and to find the failure planes. In this work, concrete grade M- 30 is selected and I.S. 10262-2009 has been used for concrete mix design. Blocks of different mix have been casted and tested for various strengths like Compressive Strength, Flexural Strength and Tensile Strength. The experimental study concludes that the reinforced block has more load carrying capacity as compared to plain cement concrete block. In case of plain cement concrete in the flexural test, sudden failure of block was observed, whereas in case of reinforced block only crack propagated and the block did not fail suddenly. Dovetail joint can be effectively used in interlocking concrete blocks. It provides strong interlocking both in vertical as well as in horizontal directions.

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Dovetail Joint, Ansys, Compressive Strength, Flexural Strength and Tensile Strength

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Earthquakes are a major problem all around the world as they cause catastrophic damage such as building failure and collapse and most importantly loss of human lives and homes. One of the most common causes of failure during earthquakes is irregular configuration, either in plan or in elevation. As a result, irregular structures, especially in seismic zones, becomes the main cause of concern. The current study deals with the performance analysis of a G+6 Storey residential building with Stiffness and Mass irregularity carried out by varying the positions of these irregularities in the building as per IS 1893 (Part 1): 2002 considering seismic zone 4. Response spectrum analysis has been adopted for analyzing the effect of Stiffness and Mass irregularity using ETABS16 software. Parameters such as Storey displacement, Storey drift, Storey stiffness, Storey shear and overturning moment have been considered for its performance study. With the consideration of all the irregular models and their behavior in dynamic earthquake loading, it is evident that the Model H11 gives the most optimal results and is recommended to be constructed in the earthquake prone areas that includes least Displacement, least Drift and least Shear force among all the other models.

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Irregular structure, Stiffness and Mass Irregularity, Response Spectrum Analysis, Etabs

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RE-SEARCH ON GDP AND UNPAID WORK: A FEMINOCENTRIC VIEW

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Inclusion, Social Inclusion, Social Exclusion, Stakeholder, Divyangjan.

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The edible items consumed by humans come from variety of sources hence there is a need to classify these food items in different classes to ease their scientific description, easy prescription and better planning of balanced diet for population. Food groups refer to a method of classification for the various foods that animals consume in their everyday lives, based on the nutritional properties of these types of foods and their location in a hierarchy of nutrition. There are various systems of dividing foods into groups to develop models of optimum nutrition for humans. The classification found in Ayurvedic texts is in much more detail comprising of many new food items which although edible are no longer classified as different class of foods. All the needed nutrients for our body are supplied by different foods class described in ancient texts, which is one of the main aim of classification of food items.

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Diet, Food groups, Ayurveda, aharavarga, nutrition

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Business processes and execution strategies are impacted by technology; project management is no exception. In the context of project management, technology tools are utilized regularly for collaboration, communication, Scheduling, budget management risk and mitigation techniques. Technology is helping project managers in the smoother operations and increased productivity. This paper discusses the role of technology in project life cycle and performance. Research analyze the usage of technology and tools by project managers and project team in the organization. The findings exhibit that companies were underutilizing the technologies in the project execution and management. Critical tools and technologies for successful project execution are recommended. the significance of technology in improving project member decision-making is addressed.

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Information Technology, Team Communication, Project Management

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SITA- Swedish Interactive Threshold Algorithm

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Democracy, Gender Equality, Gender Justice, Political Rights, Representation

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A mental health disorder characterized by persistently depressed mood or loss of interest in activities, causing significant impairment in daily life. Possible causes include a combination of biological, psychological and social sources of distress. Increasingly, research suggests that these factors may cause changes in brain function, including altered activity of certain neural circuits in the brain. This is the most common in the India because more than 10 million cases per year are observed here.

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Efficacy, safety, quality control, marketing and regulatory guidelines for herbal medicines (phototherapeutic agents) and Antidepressants.

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Objective: Multi-drug resistance tuberculosis remains a crisis and threats to world health. Line Probe Assay is a molecular techniques for rapid diagnosis of second line drugs MDR-TB. But there is less sufficient information on the clinical viability of this test and a lack of evidence in the diagnosis of MDR-TB use of this Line Probe Assay technique in Indonesia. The aim of this study is to determine performance of line probe assay GenoType MTBDRsl VER 2.0 assay on rifampicin-resistance Mycobacterium tuberculosis isolates compared with phenotypic Lowenstein Jensen drug susceptibility test method (DST) as a gold standard. Methods : This research was used cross sectional study with analytic observational approach from January- June 2020. After being examine with Xpert MTB/RIF, a total of 26 rifampicin resistance Mycobacterium tuberculosis isolates were collected and tested with GenoType MTBDRsl VER 2.0 assay and phenotypic Drug Susceptibility Test (DST). Statistic analysis were performed to determine sensitivity, specificity, PPV, NPV and accuracy of second line tuberculosis drugs. Results: Our study found three fluoroquinolone resistant Mycobacterium tuberculosis isolates (11.5%) and one amikacin resistant Mycobacterium tuberculosis isolate (3,8%). The performance of GenoType MTBDRsl VER 2.0 assay is shown 100 % (95% CI 84,6-100 % ) sensitivity, 100% (95% CI 39,8-100 %) specificity, 100% (95% CI %) PPV, 100% (95% CI %) NPV and 100% (95% CI 86,8-100 %) accuracy. Conclusion: GenoType MTBDRsl VER 2.0 assay showed a high performance compared with phenotypic method to determine resistance of fluoroquinolone and Second Line Injectable Drugs.

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Line Probe Assay, GenoType MTBDRsl ver 2.0, Drug Susceptibility Test, MDR-TB, Second Line Injectable Drugs

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Open and distance learning is one of the most rapidly growing fields of education, and its potential impact on all education systems has been greatly appreciated through the development of Internet-based information technologies, particular the World Wide Web and Digital Libraries in India. Digital libraries play a crucial role in the development of distance education system and distance learning in India. Nowadays, they are one of the fundamental information sources for the students who enrolled in this learning system. Digital libraries contain huge amount of instructional data (text, audio and video) offered by the distance learning program. Organization of the digital libraries is therefore very important for easy and fast access to the desired information. Improper categorization of data may mislead the students searching the library. The digital libraries have got a significant role to play to assist effective e-learning process. Effective learning is having advantages in delivering the right content to the right person at the right time. Development of distance education system is only possible by the digital libraries in India. This paper discusses the development of distance education, need and importance of e- learning and the role of digital libraries in distance education and E-learning process also.

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Digital libraries, Distance Education, E-learning process.

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Abstract: Chronic suppurative otitis media (CSOM), is defined as chronic inflammation of the middle ear and mastoid cavity, which is characterized by recurrent ear discharge or otorrhoea through perforation of the tympanic membrane. The purpose of this study was to prove that there was a difference in ABG values between intact and destroyed ossicular chains in CSOM patients without cholesteatoma. The type of research used is analytic observational with a cross sectional research design. Data obtained from secondary data in the form of medical records at URJ ENT-KL Otology division of RSUD Dr. Soetomo. The ABG value was obtained through a pure tone audiometry examination carried out at the URJ ENT-KL neuro-otology division by competent personnel. Pathology of the tympanic cavity was found in the form of granulation tissue in 60 patients (73.2%) without granulation in 22 patients (26.8%). Based on the type of perforation, central perforation was found in 26 patients (31.7%), sub-total perforation in 34 patients (41.5%) and total perforation in 22 patients (26.8%). Intact ossicular chains were found in 62 patients (75.6%) while destruction in 20 patients (24.4%). Based on the results of the independent t test, the value of p = 0.002 was obtained. There is a significant difference in the value of the air bone gap between intact ossicular chains and destruction in CSOM patients without cholesteatoma at a frequency of 500, 1000 and 4000 Hz but there is no difference at a frequency of 1000 Hz.

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Bone Gap Water, Destructive osicular, Supurative otitis media

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Natural Language Processing is a field of Artificial Intelligence where-in the emphasis is given on words. NLP has also played a prominent role in healthcare industries by helping with records, recommending medicines by seeing the ailment, therapeutic chatbots etc. Aiming to help the mentally ill by making use of NLP based architectures combined with attention mechanism. We propose a chatbot build upon a hybrid model. Our proposed hybrid model mainly focuses on the key words from user input which the model can extract the most information from, then predicting an answer based on the key words. Several experiments are carried out and detailed results are recorded. Our paper focuses on helping the less able people in terms of money, time etc.to get mental help free of charge.

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Depression, NLP, Attention, Chatbot, Deep Neural Network (DNN), Architecture

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Geographical Conditions, Anthropometric, Badminton, Players

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Globalization, Small Scale Industries (SSI), Employment, etc.

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Creative Commons Attribution 4.0 and The Open Definition