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Singh, Piyush
- Effect of Modified Hold-Relax and Active Warm-Up on Hamstring Flexibility
Authors
1 Jamia Hamdard, New Delhi, IN
2 department of Physiotherapy, Shreya Hospital, Shalimar Garden Extension, Ghaziabad, U.P,, IN
3 Department of Physiotherapy, Mata Gujri Charitable Hospital, New Delhi, IN
4 Indian Spinal Injury Center of Rehabilitation, New Delhi, IN
Source
Indian Journal of Physiotherapy & Occupational Therapy-An International Journal, Vol 7, No 1 (2013), Pagination: 52-57Abstract
Objective: The study aimed to find out how long the flexibility lasted after a one time modified hold relax stretching & active warm up and its comparison with modified hold relax technique alone.Design: Pre-test, Post-test comparative study with repeated measures.
Setting: Mata Gujri Fitness center, Kailash colony, New Delhi.
Method: 30 male subjects were randomly assigned to two groups; Group A- Modified Hold Relax: On the 15 subjects a one time modified hold-relax stretching was performed. Group B: 15 male subjects completed an active warm up on treadmill followed by modified hold relax stretching. The pre stretch measurement was taken by Active Knee Extension (AKE) test. After both the interventions the post stretch measurements were taken at following intervals, 0, 6, 12, 18, 24 min, respectively.
Results: A significant improvement in ROM was observed when post stretch measurements were compared to pre test in both groups respectively. However, the flexibility lasted for longer duration that is 12 min in group B when compared to group A that is 6 min.
Conclusion: Both the methods are equally effective to improve the range of motion. But the improved ranges can be maintained for larger duration when active warm up was implemented prior to Modified hold relax stretching.
Keywords
P.N.F, Active Warm up, AKE, Flexibility
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- Mining Weakly Labelled by Search-Based Face Annotation
Authors
1 RKDF Institute of Science and Technology, Bhopal, Madhya Pradesh, IN
Source
Research Journal of Engineering and Technology, Vol 7, No 2 (2016), Pagination: 56-58Abstract
A face annotation has many applications the main part of based face annotation is to management of most same facial images and their weak data labels. This problem, different method is adopted. The efficiency of annotating systems are improved by using these methods. This paper proposes a review on various techniques used for detection and analysis of each technique. Combine techniques are used in retrieving facial images based on query. So it is effective to label the images with their exact names. The detected face recognition techniques can annotate the faces with exact data labels which will help to improve the detection more efficiently. For a set of semantically similar images Annotations from them. Then content-based search is performed on this set to retrieve visually similar images, annotations are mined from the data descriptions.
The method is to find the face data association in images with data label. Specifically, the task of face-name association should obey the constraint face can be a data appearing in its associated a name can be given to at most one face and a face can be assigned to one name. Many methods have proposed to used this while suffering from some common.
Keywords
Search-Based Face Annotation.- Data Mining on Classifiers Prophecy of Breast Cancer Tissues
Authors
1 School of CSA, REVA University, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No SP 5 (2019), Pagination: 8-12Abstract
The expression "breast cancer" includes to a harmful tumour that has created from cells in the breast. Disease happens because of transformations, or anomalous changes, in the qualities in charge of controlling the development of cells and keeping them solid. The qualities are in every cell's core, which goes about as the "control room" of every cell inside the body.The utilization of machine learning and data mining techniques strategies have transformed the entire procedure of breast cancer growth.
There are a few order calculations like-Naive Bayes, K-Star, Multiclass, Decision Table, Hoeffding Tree. Highlight Selection is the path towards picking a subset of noteworthy highlights (factors, markers) for use in presentation advancement and the part assurance computation. The results show that part decision can improve the precision of classifiers.
Keywords
Breast Cancer, Classifiers, Naïve Bayes, K-Star, Hoeffding Tree, Hybrid classifier.Full Text
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