37 research outputs found

    Effect Of Qualitative Exercises Using The (Vertimax) Device To Developing The Explosive Ability Of Arms And Legs And The Skill Of Long-Shooting For Youth In Handball

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    The importance of the research was to prepare qualitative exercises using the device (Vertimax) to develop the explosive ability of the arms and legs and the skill of long- shooting for young handball players. As well as knowing the effect of specific exercises using the device (Vertimax) to develop the explosive ability of the arms and legs and the skill of long-range shooting for young handball players. While the problem of the research was that there was a weakness in the explosive ability and the far shooting, so the player needs a high level of the explosive ability of the arms and legs in order to succeed the far shooting. Therefore, the researchers decided to develop specific exercises using the (Vertimax) device to develop the explosive ability of the arms and legs and the skill of long-range shooting for young handball players. As for the objectives of the research, it was to prepare qualitative exercises using the (Vertimax) device to develop the explosive ability of the arms and legs and the skill of long-range shooting for young players in handball. As well as knowing the effect of these specific exercises to develop the explosive ability of the arms and legs and the skill of long-range shooting for young handball players. As for the most important conclusions, it was represented that the specific exercises used on the device (Vertimax) have a positive effect on the development of the explosive power of the arms and legs and the skill of long-range shooting for young handball players. Therefore, the researchers recommend the need to use specific exercises using the (Vertimax) device to develop the explosive power of the arms and legs and the skill of long-range shooting for young players in handball

    Hematopoietic Stem Cell Function in a Murine Model of Sickle Cell Disease

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    Previous studies have shown that the sickle environment is highly enriched for reactive oxygen species (ROS). We examined the oxidative effects of sickle cell disease on hematopoietic stem cell function in a sickle mouse model. In vitro colony-forming assays showed a significant decrease in progenitor colony formation derived from sickle compared to control bone marrow (BM). Sickle BM possessed a significant decrease in the KSL (c-kit+, Sca-1+, Lineage−) progenitor population, and cell cycle analysis showed that there were fewer KSL cells in the G0 phase of the cell cycle compared to controls. We found a significant increase in both lipid peroxidation and ROS in sickle-derived KSL cells. In vivo analysis demonstrated that normal bone marrow cells engraft with increased frequency into sickle mice compared to control mice. Hematopoietic progenitor cells derived from sickle mice, however, demonstrated significant impairment in engraftment potential. We observed partial restoration of engraftment by n-acetyl cysteine (NAC) treatment of KSL cells prior to transplantation. Increased intracellular ROS and lipid peroxidation combined with improvement in engraftment following NAC treatment suggests that an altered redox environment in sickle mice affects hematopoietic progenitor and stem cell function

    Characteristics of Children With Cancer Discharged or Admitted From the Emergency Department

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136395/1/pbc25872_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136395/2/pbc25872.pd

    Characteristics of Children With Cancer Discharged or Admitted From the Emergency Department

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    Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/136395/1/pbc25872_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/136395/2/pbc25872.pd

    Driver fatigue detection using image sensors

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    Road traffic accidents happen every day in every part of the world. There are many causes for road traffic accidents. One of the causes is driver’s fatigue. In fact, fatigue driving has been one of the major causes for traffic accidents and it accounts for 20% of all traffic accidents in the world, which leads to many deaths and injuries [1]. Much research and inventions have been introduced to tackle the problem. Driver face detection and monitoring systems is one of the many solutions to fatigue driving. They can detect facial features such as eyes, nose and mouth. Apart from that, the system can extract the symptoms of fatigue. These symptoms are mainly percentage of eyelid closure over time (PERCLOS), rate of eye blink, eye sporadic movement, yawning and head nodding [2]. The robust technology that we have today for facial detections have been assisting us to analyse and recognise the symptoms in real time. This paper presents an introduction, project aim and methodology used to recognize and detect the facial features and fatigue symptoms. The general structure of the existing system will be discussed. The system will be programmed in Python. It uses the multi-task convolutional neural network (MTCNN) whereby multiple convolutional neural networks are tied together. A possible improvement will be further elaborated as well.Bachelor of Engineering (Electrical and Electronic Engineering
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