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2篇 您的检索式：作者名="Muhammad Mustafa Qamar"

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		题名	作者	年代	出处	被引量
	1	Effects of Kinesio Taping in Supraspinatus Tendinitis显示文摘Background:Shoulder pain is one of the most commonly reported musculoskeletal problems after low back pain.One common reason for the shoulder pain is supraspinatus tendinitis that is often associated with impingement syndrome.Objective:To find the effects of kinesio taping in reducing pain and disability in subjects with supraspinatus tendinitis.Methodology:In this study,patients were randomly allocated the treatment using a set of predefined inclusion and exclusion criteria.Subjects were managed with kinesio taping.Pre-and post-evaluation of the patients was done using Numerical Pain Rating Scale(NPRS)and Disability of Arm Shoulder&Hand Questionnaire(DASH)score and the data gathered was entered and analyzed using SPSS version 23.Results:Mean difference of 2.65 was reported between the pretreatment and post treatment values of NPRS in KT taping group which was significant(P<0.05).Mean difference of 27.25 was reported between the pre-treatment and post-treatment values of DASH score in KT taping group which was significant(P<0.05).Conclusion:Kinesio taping is an effective Program in management of supraspinatus tendinitis.	Jawad Anwar Farjad Afzal Muhammad Mustafa Qamar Ayesha Basharat	2021	Journal of Clinical and Nursing Research2021，5，6：	0
	2	Sparse Crowd Flow Analysis of Tawaaf of Kaaba During the COVID-19 Pandemic显示文摘The advent of the COVID-19 pandemic has adversely affected the entire world and has put forth high demand for techniques that remotely manage crowd-related tasks.Video surveillance and crowd management using video analysis techniques have significantly impacted today’s research,and numerous applications have been developed in this domain.This research proposed an anomaly detection technique applied to Umrah videos in Kaaba during the COVID-19 pandemic through sparse crowd analysis.Managing theKaaba rituals is crucial since the crowd gathers from around the world and requires proper analysis during these days of the pandemic.The Umrah videos are analyzed,and a system is devised that can track and monitor the crowd flow in Kaaba.The crowd in these videos is sparse due to the pandemic,and we have developed a technique to track the maximum crowd flow and detect any object(person)moving in the direction unlikely of the major flow.We have detected abnormal movement by creating the histograms for the vertical and horizontal flows and applying thresholds to identify the non-majority flow.Our algorithm aims to analyze the crowd through video surveillance and timely detect any abnormal activity tomaintain a smooth crowd flowinKaaba during the pandemic.	Durr-e-Nayab Ali Mustafa Qamar Rehan Ullah Khan Waleed Albattah Khalil Khan Shabana Habib Muhammad Islam	2022	Computers, Materials & Continua2022，，6：	0

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