Volume 9 | Issue 8 |

 Abstract

Background: Nowadays many young active females are diagnosed with anterior knee pain or patellofemoral pain disorder. Q angle is an essential parameter to check the alignment of the patella within the quadriceps muscle. Higher Q angle may cause patellofemoral pain which may lead to patellar subluxation. Previous studies supports that there is a decrement in Q angle during maximal isometric quadriceps contraction. Thus, the purpose of this study is to evaluate Q angle value among young females in both supine and standing. Method: 66 subjects participated in this study who have no significant history of any knee pathology. The Q angle was measured in relaxed state of quadriceps and during isometric contraction with knee in full extension on right and left side in both supine and standing. The Q angle was measured using universal goniometer. Data was collected from each subject and analyzed using SPSS software 28.00. Results: The result of this study shows that there was a significant decrease in q angle values during relaxed state and isometric contraction ofquadriceps in both supine and standing positions. While there was no significant difference in Q angle values when both the positions were compared. Conclusion: The study concludes that the Q angle decreases with isometric quadriceps contraction on both the sides in supine and standing positions but there was no difference in q angle values in both body positions.

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 Keywords

Q angle, goniometer, isometric quadriceps contraction, supine and standing positions.

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Creative Commons Attribution 4.0 and The Open Definition

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Phacoemulsification, *Immature white cataract, *post-operative pain.

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Creative Commons Attribution 4.0 and The Open Definition

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With the evolution of IoT, came the enrichments of human lifestyle. However, one issue that still needs improvement is the waste management and handling of garbage collection. The total generation of waste in India is about 150 million tons every day and hence waste management in India has become a very challenging task. This paper focuses on the IoT based system that can support the existing workforce to manage waste generated in the sectors of a smart city. In this paper, we have the critical analysis of existing literature which is relevant to intelligent dustbins and the mechanisms associated with IoT. Though, the literature consists of a lot many research contributions, but, here, we have analyzed around twenty research papers. We have analysed all the research works on common basis and represented them in tabular form so that comparison between the different methods can be easily done. The emphasis is on the platform used by the concerned authors, the software and programming language used and the various performance evaluation parameters like number of sensors, type of storage, and the other parameters like fire detection, waste prediction, waste classification, route scheduling, approx. cost, etc. Hence, the merits and demerits of each of the existing approach can be determined. Finally, the findings are summarized related to the studied and analyzed research papers.

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Many studies on the human brain have found evidence of genetic effects and changes in intellectual function of certain forebrain nerves and psychiatric diseases. Little is known about the genetic influence of the size and shape of the human forebrain and its macromorphological breakdown. Using each indicator as a dependent variable and genotype, birth order, and gender were used for individual factors. The correlation between pain scores was also calculated. We found that genotype had a significant effect on the following neuroanatomical variables, but not on birth order: forebrain volume, cortical surface, and corn area. We also found a significant genotype, but the birth order had no effect on head circumference and total circumference. Apart from the hardening of the head circumference, there is no significant sexual effect. Significant correlations were observed between forebrain volume, cortical surface and callus area, and between each measurement of brain head circumference. There is no significant correlation between any measurements of the brain or head circumference.

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 Keywords

Numpy, TensorFlow, Linear Regression

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Dengue is an acute viral disease caused by FlaviVirus(RNA virus) and the vector responsible is Aedes Aegypti. Clinical features may range from asymptomatic fever to complications such as hemorrhagic fever and shock. Early and accurate diagnosis is vital so that we can prevent its morbidity as well as mortality rate. This article gives details about its Aetiology, Clinical Features, Investigations, Complications, Management, Preventive measures with a case managed with Homoeopathic Medicines. The Homoeopathy system has good scope in controlling both morbidity and mortality rate in Dengue Fever.

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Homoeopathy, Dengue Fever, Dengue Shock Syndrome, Thrombocytopenia, Break Bone Fever.

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India, USA, USSR, Foreign Policy, Development, Panchasheel

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evaluate, effectiveness, structured teaching program, patient safety protocol

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The study investigates the problems experienced by mothers of intellectually disabled children. The sample comprised of 100 mothers of intellectually disabled children enrolled in special educational schools in Jaipur and Udaipur city. Problems of mothers were assessed by questionnaire developed by the investigator. The major findings of the present study point out that in the time of pandemic mothers were facing more psycho-social problems than physical problems.

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Mothers, intellectually disabled children, physical and psycho-social problems, COVID-19.

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In this review paper we are going to conduct review research on Machine Learning methods with various input parameters and conclude which method is useful or most effective for a particular problem or which method with a particular characteristic is useful/effective for a given problem. We are going to analyze and conclude the most effective methods of Machine Learning. Here we will also configure which methods to use so as to give us a appropriate result of estimation.

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Machine Learning, Linear Regression, Logistic Regression, Decision Trees, Support Vector Machines, Gaussian Naive Bayes, K-Nearest Neighbors, K-means.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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