Volume 8 | Issue 7

 Abstract

The purpose of the study was to know the impact of stress on Sports Persons. This study involves descriptive survey design of Sports Persons in a non-experimental, descriptive survey design. This explores and measures the perceptions of participants� psychological characteristics within the clinical environment. Total 100 Sports Persons selected for the present study froms Bilaspur Chhattisgarh and their age ranged from 18 to 26 years. Questionnaires were used to gather data in this study. Co-relation was used to find out the impact of Stress on Mental health of Sports Persons. The study that there was negative impact of stress on Mental Health.

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Mental health, stress, Sports persons.

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Online education has gained much popularity in the recent time. Learning activities that were previously done by the face to face method in the classroom switched to the online learning system. The concept of social distancing, in this pandemic requires everyone to stay home so that the spread of this virus is not expanding. This paper seeks to examine the role of online education among youngsters (18-24) in the midst of covid-19. It also analyses the effectiveness of innovative strategies in e-learning and its contribution towards quality education and the awareness of youngsters towards innovative e-learning platforms. Finally, this paper studies the advantages and disadvantages of online education. This study reveals that online education is very much effective to the youngsters in this period and at the same time it has a lot of drawbacks to be cleared for attaining a quality education.

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online education, covid-19 pandemic, quality education, e-learning platforms

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ABSTRACT- In order to compete in the ever growing competent market it is very important for a structural engineer to save time. As a sequel to this an attempt is made to analyze and design a multistoried building by using a software package staad pro. For analyzing a multi storied building one has to consider all the possible loadings and see that the structure is safe against all possible loading conditions. There are several methods for analysis of different frames like kani�s method, cantilever method, portal method, and Matrix method. The present project deals with the design & analysis of a multi storied residential building of G+3 consisting of 2 apartments in each floor. The dead load &live loads are applied and the design for beams, columns, footing is obtained STAAD Pro with its new features surpassed its predecessors and compotators with its data sharing capabilities with other major software like AutoCAD. We conclude that staad pro is a very powerful tool which can save much time and is very accurate in Designs. Thus it is concluded that staad pro package is suitable for the design of a multistoried building.

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Key words: STAAD.Pro, Multi-storey building,Autocad, Concrete mix, Steel strength, Limit state method.

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Breast cancer is horrendous disease after skin cancer which is most common in woman and it is a foremost cause for the upsurge in mortality rate. Screening mammography is the operative procedure for detecting masses and abnormalities allied to breast cancer. Digital mammograms are utmost operative source that helps in early detection of cancer in women with no symptoms and diagnose cancer in women with symptoms like pain in lump, nipple discharge which diminutions deaths and upsurges chances of survival. Usually clinician cannot spare more time on a patient to weigh the complaints and suggest a possible diagnosis by considering past records. During this stage, there is more chance to medical errors and wrong diagnosis. By using machine learning in diagnosing breast cancer improves accuracy by reducing misclassifications and saves time in diagnosing. The proposed work is instinctive classification of mammogram images as Benign, Malignant and Normal using various machine learning algorithms. Finally, classification of the pre-processed images is performed and mammograms are classified into benign, malignant and normal with the use of Convolutional Neural Network.

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Image processing, Winner, Clahe

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Country of Origin is becoming a very important factor in Consumer behavior studies. Hence , doing the research about the factors influencing the consumer decisions are more worthy than before. The Purpose of this paper is to review the Country of Origin literature and to find the relationship between Country of Origin and Purchase intention based on past studies. This research will help marketers in identifying the relationship between COO and purchase Intention. The existing literature shows that there is a relationship between COO and Purchase intention. However, there are many factors where there is scope for further research and development

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COO, Purchase intention, Consumer behavior

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congenital anomalies, clubfoot, lymphatic edema

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The present article addresses the potential reasons behind dropout rate of interest in learning dance with the growing age of children in school. These reasons flared up during the analysis of data collected by the researcher for the purpose of research study on dance curriculum and its teaching and learning in the schools of Bengaluru. Some findings during the analysis compelled the researcher to assemble the patterns shown in observations & interviews in research article, as this can also be the major study area in the field of dance education in the schools of Bengaluru. The nature of this study is mix of both quantitative and qualitative. The initial data is secondary and popped up during the analysis of primary data collected by the researcher for the different study purpose. These observations pushed researcher to further investigate the phenomenon through a data collection process using primary resource. For this study, survey method is used to identify the causal relationship and effects between variables. Under this phenomenon, independent variables will be dance learners (level of Interest, their own aspiration, limitations), school management & teachers (inspiration and direction), parents (influences, preferences, career obsession). On the other hand, the dependent variable will be the deviation of child�s interest from learning dance with growing age and their interest towards learning dance. This paper is further arranged in order to explain the nature of study, articulation of objectives for the purpose of study to clarify scope & sequence and identify the research questions, extended review of literature, methodology employed for the study, sampling of participants, primary data collection, analytical study, results & discussions and finally to provide the hypothetical statement and conclusion to the paper.

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Academic pressure, Body Image, Career, Dance, Education System, Gender Stereotype, Parent�s Influences, School Management, Teachers, Learning Interest in Dance

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Automatic Student overall performance prediction is a vital job due to the giant extent of statistics in instructional databases. This job is being addressed by means of academic records mining (ARM). ARM increase strategies for discovering statistics that is derived from academic environment. These techniques are used for grasp scholar and their gaining knowledge of environment. The academic establishments are frequently curious that how many college students will be pass/fail for indispensable arrangements. In preceding studies, it has been found that many researchers have intension on the resolution of gorgeous algorithm for simply classification and ignores the options of the issues which comes all through facts mining phases such as statistics excessive dimensionality, category imbalance and classification error etc. Such sorts of troubles decreased the accuracy of the model. Several universal classification algorithms are utilized in this area however this paper proposed a pupil overall performance prediction mannequin based totally on supervised studying choice tree classifier. In addition, an ensemble approach is utilized to enhance the overall performance of the classifier. Ensemble techniques strategy is designed to clear up classification, prediction problems. This find out about proves the significance of statistics preprocessing and algorithms fine-tuning duties to get to the bottom of the facts high-quality issues. The experimental dataset used is acquired from UCI Machine Learning Repository. Supervised mastering algorithms Decision Tree (J48) are employed in this find out about for experimental purposes. The effects confirmed that J48 performed absolute best accuracy 95.78% amongst others.

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Educational Data mining, Educational Data Mining, Predicting Student Performance, Decision Tree, Ensemble

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The use of a central venous catheter in an intensive care unit is a common practice. The femoral line is the emergency venous access of choice because it is quickly accessible and easily identifiable by the operator. However, the complications associated with this procedure remain quite considerable. The accidental migration of the guidewire during the Seldinger technique is exceptional but potentially dangerous complications given the risk of vascular and cardiac perforation. We report a rare case of an accidental intra-arterial femoral migration of a blunt guidewire when the venous central line passed mistakenly over the guidewire in the femoral artery. The removal of the guidewire by interventional radiology remains the solution of choice in such a situation, which could not be achieve due to the impossibility of moving the patient to radiology service because of her unstable hemodynamic conditions.

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central venous catheter, guidewire migration, complications, prevention.

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Abstract In any judicial proceeding, the case may be proved either by oral evidence or by documentary evidence. Oral evidence means the statement of the witness and documentary evidence means the document produced for the inspection of the court in support of the claim. The rule of best evidence enshrined in the provision of the law of evidence is that the evidence must be of the witness who says that he has full and complete knowledge of the fact is issue. This provision is enshrined under section 60 of the act. This section precludes the admission of evidences which are not directly related to the fact in issue. The evidence act provides that hearsay evidence shall not be admitted however section 6 is an exception to the rule of hearsay. Section 6 provides that the facts which are not in issue may be relevant if they are the part of same transaction. The rule of same transaction is provided under English term res gestae. The facts which are to be proved must be different from the fact in issue but necessary for proving the fact in issue. In any proceedings all the evidences are not admissible. Only those facts are admissible which are connected to the facts in issue and relevant fact. Admissibility is different from the relevancy. All admissible facts are relevant but all relevant facts are not admissible. In the doctrine of res gestae, the facts which are directly connected to the facts in issue by establishing a chain of circumstances are admissible as evidence only.

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Res Gestae, Fact in issue, Relevancy and Admissibility, . Direct Evidence

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Compassion fatigue, also known says secondary traumatic stress(STS), is a condition characterized by a gradual lessening of compassion over time. It is common among trauma victims and individuals who work directly with trauma victims such as nurses, psychologists, and first responders. The current scenario in the health sector is so apt to tackle this cumulative stress. The impact greatly effect on personal work atmosphere as well as the organization they belong to. Proper solid management in the era of burnout ultimately proportionate to the level of excellence in quality care. Developing positive energy is the ultimate core management of compassion fatigue among nursing practice.

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STS, compassion overtime, cumulative stress, burnout

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This study has been undertaken to investigate the relationships between human behavior and built environment changes in Siruseri, India. The land acquisition by government for development of SIPCOT (State Industries Promotion Corporation of Tamil Nadu Ltd.), IT Park in Siruseri has been the major reason for its drastic development in a short period of time. The land covered by the SIPCOT IT Park and the native settlement have seen an unbalanced development. The unsurpassed development of SIPCOT IT Park has taken a toll on the native settlement, causing behavioral changes in both regions. The employees of SIPCOT IT Park have also undergone behavioral changes, as a reaction to the new built environment. Mapping of built environment changes and its effect on human behavior and quality of life through observation walks and questionnaire studies were conducted at the SIPCOT area and the surrounding settlements of Siruseri, to analyze and explore the interconnectivity and interdependency of each other. These observations, when studied carefully provide evidences of a reduction in the quality of life of users of Siruseri as opposed to the general belief that development enhances the quality of life.

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Built Environment, Human Behavior, Quality of Life

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Coronavirus, a virus that has led us to a global pandemic infecting more than 10 million people and killing more than half a million people worldwide. It has affected almost all the nations, be it a developing or developed country. Most people believe it to be a new virus but this virus was first found in the year 1965 from the nasal washing of a male child. The symptoms were typical to that of common cold and it wasn�t thought to be highly pathogenic till the SARS outbreak in 2002-03. The virus has the largest genomic single stranded RNA among all RNA Viruses. This particular strain of virus i.e. SARS-CoV-2 which causes COVID-19 is believed to be originated in the wet markets of Wuhan, China. The following review deals with the history of Coronavirus briefly and the outbreak of SARS - CoV (Severe Acute Respiratory Syndrome) in 2002-03, MERS � CoV (Middle East Respiratory Syndrome) ten years later and finally about COVID-19 and it�s mode of transmission, diagnosis and treatment.

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RNA Virus, SARS, MERS, common cold, pandemic, COVID-19

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Today, sedentary lifestyle has become universal, as the jobs are becoming less active and more sedentary, so the increasing number of individuals spends extended periods in a sitting position. Thus, in the absence of good ergonomic design it can adversely lead to Musculoskeletal Disorders (MSDs). This study was conducted on 70 computer operators with one year of experience. Sampling technique was Simple Random sampling technique and study materials used were measuring tape, weighing machine for BMI and self-structured ergonomic questionnaire. After obtaining Informed consent, Data regarding Personal characteristics, BMI, Computer Usage, presence or absence of musculoskeletal disorder and Knowledge of Ergonomics were collected by face to face interview method using a self-structured Questionnaire. The Ergonomic awareness section of the Questionnaire composed of 16 questions related to Knowledge about Working Postures, Seating, Keyboard/Mouse, Monitor, Table and Accessories and finally Rest breaks. The study concluded that more than half i.e. 70% of computer operators are less aware and 1.42% participants are not aware about ergonomic posture. While 28.57% of Computer operators are completely aware of ergonomics.

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Ergonomic posture, computer operators, work related musculoskeletal disorders, Awareness

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Various zooplanktons are use as a food material for fish. Rotifer is among one such group of zooplanktons which is widely use as a live feed for culture of various fishes and other aquatic organisms. In the present study the culture of rotifers like Brachionus calyaflorus, Brachionus havanaensis, Brachionus plicatilis is carried out under the laboratory conditions for which healthy samples of zooplanktons were collected from the fresh water resource and separated for isolation of rotifers with the help of fine tipped micropipette. The isolated rotifers were transfer to the culture tank at the rate of 10-20 individuals/ml and feed upon algae (Chlorella, Scenedesmus) approximately at concentration 40�103 cells/ ml. Growth of rotifer culture slow for initial 2 day that is 170 individuals/liter and attain its peak density at 3rd and 4th day that is1050 individuals/liter and 2440 individuals/liter respectively. From 5th day rotifer population start to decrease which was found to be 1510 individuals/liter on 5th day, 960 individuals/liter on 6th day, 750 individuals/liter on seventh day and 300 individuals/liter at 8th day The harvested rotifers then proceed for drying to get powdered form which can be use as a fish feed.

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Live food, Rotifers, Rotifer culture

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RCC (Reinforced Cement Concrete) is one of the widely used materials in the construction sector in India. It is necessary to understand the behavior of RCC members to check the stability aspect of the structure. Therefore, the development of a finite element model (FEM) may need intensive material testing to incorporate into the material model in any of the finite element (FE) packages available (Sinaei et al., 2011). There are quite a large number of numerical material models available in the literature with the potential to develop complete stress-strain curves of concrete for compression and tension separately based on the experimental results. In this research, the ABAQUS program Hibbitt et al. (1988) is used to model the behavior of RCC beams.

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ABAQUS, RCC Beam, FEM

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On considering the global economic crisis due to Covid-19 pandemic, this research paper will address about various economic policies and factors, their limitations and measures to overcome them. This research is based on information derived from reliable online sources.

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Pandemic, Fiscal stimulus, Trade wars, Domestic industry, Sectoral contribution, Demand and Supply, Infrastructure, Liquidity

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The world is changing very fast, much of the places and things are very close to each other. One such a booming area in the Indian market is airport sector. The passenger perception towards airport services may have a significant impact towards the development of business and tourism sectors. In the present study, a convenient sampling (100 nos.) by using descriptive research design, a survey is done in order to get the opinion of the respondent about the airport services quality at Chennai international Airport, India. Relationship between customer satisfactions on various dependent variables namely effectiveness, efficiency, maintenance and relativity and airport quality at Chennai is done. Analysis is done on descriptive variables, t-test, chi-square test are conducted by using SPSS tools. After analysis, it is concluded that the study on these variables cause related impact on the airport quality can be enhanced, because customer satisfaction is the main motto of any service industry. It is concluded that there is an association among the variable relating to effectiveness. This study recommended the procedures of development of the excellence of airport facilities provided to carriers by considering the customer needs. This study on these variables will enable the passengers to gain the revisit intention to airport for their further travelling.

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Airport, Customer Satisfaction, Passenger, Quality, Services, Travelling.

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At the center of graph mining lies free extension of bases where a base or subgraph autonomously develops into various bigger bases in every cycle. Such a free development, perpetually, prompts the age of copies. Within the sight of chart segments, copies are created both inside and across allotments. Wiping out these copies brings about age and capacity cost as well as extra calculation for its end. Essential point is to plan methods to decrease creating copy foundations as we show that they can't be dispensed with. Proposed philosophy presents three requirement based enhancement strategies, each essentially improving the general mining cost by diminishing the quantity of copies produced. These options give adaptability to pick the correct procedure dependent on chart properties. Proposed philosophy tests show noteworthy advantages of these imperatives regarding capacity, calculation, and correspondence cost (explicit to divided methodologies) across graphs with differed qualities.

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Graph mining, substructure discovery, constraint-based heuristics, duplicates reduction, partitioning of graphs

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