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Effect of heat therapies on pain and disability in patients with Osteoarthritis of knee joint

Osteoarthritis (OA) of knee is most common form of arthritis and is a major cause of functional disability especially in elderly patients due to pain. Hot mustard and wax therapy are two modalities employed in management of pain. Aim: To compare the effect of hot mustard application and wax therapy on pain and disability in patients with osteoarthritis of knee. Methods and Material: The study adopts a comparative trial design. A total of sixty subjects of age 50-65 years were recruited . They were assigned to either group One ( hot mustard application) or group Two (wax therapy). Every subject were assessed for pain and disability at baseline and following ten days. Results: Pre and post data was analysed by Wilcoxon signed rank test which showed difference in VAS (P<0.00), WOMAC (P<0.00) in mustard group and VAS (P<0.00), WOMAC (P<0.00) in wax group respectively. The overall comparison between the groups was done by using Mann Whitney U test which showed decrease in VAS scale (P<0.007). Conclusions: The study result suggests that both hot mustard application and wax therapy could be considered in reducing pain

Published by: Sushmitha A., Geetha B. Shetty, Sujatha K. J., Prashanth Shetty

Author: Sushmitha A.

Paper ID: V6I5-1376

Paper Status: published

Published: October 20, 2020

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Research Paper

Immediate effect of alternate douche to whole body on autonomic and respiratory variables in healthy volunteers

Alternate douche is the one of the therapeutic treatment in naturopathy. Douche is the most satisfactory, flexible and adaptable tonic in hydrotherapy it may be employed at all temperatures like hot, cold and alternative and degrees of pressure can also be varied depending to the conditions. The present study aims to evaluate the physiological effects of alternate douche to whole body on healthy individuals. Totally 30 volunteers were selected. (Group 1)On Day 1 volunteers were given alternate douche intervention for 20 minutes and (Group 2)on day 2 the same volunteers are allowed to stand with their feet together, hands placed by the side of the body, palms facing inward in same room for 20 minutes. Assessments were made for both the groups before and after intervention. The assessments included were blood pressure (BP), heart rate (HR), heart rate variability (HRV), and respiratory rate (RR). Statistical analysis is done by using software SPSS (Statistical Package for the Social Sciences). The level of statistical significance was determined with p≤0.05. On comparison between groups shows significant difference in HR (p<0.05). Group 1 showed statistical significant changes in HF, mean RR, NN50, LF/HF ratio, and mean HR. The present study states that alternate douche stimulates the parasympathetic dominance so it can be effective for disorder of sympathetic dominance.

Published by: Pavithira M., Sujatha KJ, Prashanth Shetty

Author: Pavithira M.

Paper ID: V6I5-1375

Paper Status: published

Published: October 20, 2020

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Research Paper

Challenges in development and implementation of Indian smart city mission

The rapid rise in India’s urban population is mainly in search of employment and education. Due to this rapid urbanization, the government is suppressed to concentrate on solutions for certain problems like overcrowding, pollution, resource constraints, needs for the development of infrastructure and restoration of ageing Infrastructure. As to meet these demand and problems, India has stepped into developing and constructing major cities as Smart cities in 2015 as ‘National Smart Cities Mission’ under Union Ministry of Urban Development. It is an initiative to make these cities friendly and sustainable to citizens as well as to nature. Some major barriers in developing a smart city in India are financing or allocation of budget, availability of resources, planning with most advanced techniques and making people used to it, rehabilitation and resettlement of huge population. Indian cities are already well-developed cities when compared to others, but through proper planning and implementation, it can also be made into Best smart cities in the world. This paper focuses on the Idea of Smart City, concept of smart city mission of India, its challenges and implementation. And also about the Smart city solutions and initiatives in some of the major smart cities of the world.

Published by: Hariprasanth Yuvaraja

Author: Hariprasanth Yuvaraja

Paper ID: V6I5-1373

Paper Status: published

Published: October 20, 2020

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Research Paper

A comparative study of psychological well-being between working and non-working mothers

Nowadays, world is equally ruled by men as well as women in almost all aspects. Working mothers are more effective in managing both work and family. Psychological well-being of working mothers has gained a significant amount of interest among researchers. The following study aimed at digging out the difference between working mothers and non working mothers on Psychological Well-being. The total sample for this research was 40 women comprising of 20 working and 20 non working women who are mothers. The age range of the participants was 35 to 55 yrs. For assessment, Ryff’s Psychological Well-Being scale was used. The obtained scores were analysed by One Independent t-Test on SPSS software. As a result, it was found the the hypothesis, Working mothers will be high on psychological well-being as compared to non working mothers, is rejected.

Published by: Apurva Satbhai

Author: Apurva Satbhai

Paper ID: V6I5-1365

Paper Status: published

Published: October 20, 2020

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Research Paper

Efficiently diagnosing breast cancer detection from histological images by combining FCN and BI LSTM model

Bosom disease (BC) is one of the most continuous kinds of malignancy that grown-up females experience the ill effects of around the world. Numerous BC patients face irreversible conditions and even passing because of late determination and treatment. Thusly, early BC analysis frameworks dependent on obsessive bosom symbolism have been sought after in ongoing years. In this paper, we acquaint an end-with end model dependent on completely convolutional network (FCN) and bidirectional long momentary memory (Bi-LSTM) for BC discovery. FCN is utilized as an encoder for elevated level element extraction. Yield of the FCN is gone to a one-dimensional arrangement by the smooth layer and took care of into the Bi-LSTM's information. This technique guarantees that high-goal pictures are utilized as immediate contribution to the model. We directed our investigations on the Break his information base, which is openly accessible at http://web.inf.ufpr.br/vri/bosom malignant growth information base. So as to assess the execution of the proposed strategy, the exactness metric was utilized by considering the five-overlap cross validation procedure. Execution of the proposed technique was discovered to be in a way that is better than already announced outcomes.

Published by: K. Venkata Shiva Rama Krishna Reddy

Author: K. Venkata Shiva Rama Krishna Reddy

Paper ID: V6I5-1340

Paper Status: published

Published: October 20, 2020

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Research Paper

A text mining based automated BIM model data checking system

Building Information Modelling (BIM) has been widely used in the construction industry describing geometry of the building, spatial relationships and geographic information, as well as the quantities and properties of BIM objects and their properties. With large amounts of data exported from building information models, BIM data checking usually costs large amounts of man-hours to guarantee BIM model quality. In order to improve accuracy and efficiency for model data checking, applying machine learning techniques is highly expected. The machine learning algorithms can be used by combining data from many buildings, the characteristics, and location of flats to automatically detect flaws of building design, or even the likelihood of construction delays. Anomaly detection is useful to pinpoint modelling errors. In this project, semantic natural language processing technologies embedded with a machine leaning engine is developed to realize (1) automated object and property information retrieve from the massive BIM mode data, (2) similar objects recognition and naming consistence checking, and (3) automated BIM model data completeness and accuracy checking. The machine learning engine is wrapped by a dashboard-based user interface to facilitate manual object/property checking or batch data checking. The specially designed modules of the machine learning engine are allowed to be customized to support different construction regulatory requirements.

Published by: Rong Wen, Long Xiao

Author: Rong Wen

Paper ID: V6I5-1300

Paper Status: published

Published: October 20, 2020

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