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    5153 research outputs found

    An Overview of α-N-acetyl-galactosaminidase (Nagalase) in the Treatment and Prognosis of Cancer and HIV

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    This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Objective – The purpose of this study is to evaluate the importance of Nagalase and ways to reduce this enzyme. This study looks at the current and past research of Nagalase on different human pathologies including cancers and HIV. Current treatment options are also explored along with new avenues of possible natural treatments. Basic Procedures – The database used for searching was PubMed. Research focused on papers showing Nagalase or α-N-acetyl-galactosaminidase. Gc and MAF articles were also used to explore and understand this technical biological process. Papers were chosen that were published within the last 30 years. Main Findings – Nagalase is a good prognostic tool for cancer and HIV screening. GcMAF therapy is showing promising results in the treatment/cure rate in cancers and HIV patients. Principal Conclusions – GcMAF is fast becoming understood as an important part in the fight against different cancers and HIV. Chondroitin sulfate might be a good way to naturally increase macrophage activity via competently inhibiting Nagalase. Nagalase has been shown to be a better prognostic and diagnostic tool in the monitoring of certain cancers and HIV

    Impact of Attires on Students’ and Teachers’ Performance in Science Laboratories

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    This paper describes how some of the students’ and teachers’ dressing styles effectively constitute a factor that impacts the teaching and learning of science and the safety of the students involved. In this research, students, teachers and some parents were targeted. They were either observed, interviewed or given questionnaires to obtain their views and experiences on this issue of dressing styles and safety in teaching science. Results showed that inappropriate attires were, to a greater extent, responsible for a variety of accidents that occurred in the science classes, thereby impacting students performance in science classes

    WiMAX Basics From Deployments to PHY Improvements

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    © ASEE 2014WiMAX (Worldwide Interoperability for Microwave Access) is an emerging broadband wireless technology for providing Last mile solutions for supporting higher bandwidth and multiple service classes with various quality of service requirement. The unique architecture of the WiMAX MAC and PHY layers that uses OFDMA to allocate multiple channels with different modulation schema and multiple time slots for each channel allows better adaptation of heterogeneous user’s requirements. The main architecture in WiMAX uses PMP (Point to Multipoint), Mesh mode or the new MMR (Mobile Multi hop Mode) deployments where scheduling and multicasting have different approaches. In PMP SS (Subscriber Station) connects directly to BS (Base Station) in a single hop route so channel conditions adaptations and supporting QoS for classes of services is the key points in scheduling, admission control or multicasting, while in Mesh networks SS connects to other SS Stations or to the BS in a multi hop routes, the MMR mode extends the PMP mode in which the SS connects to either a relay station (RS) or to Bs. Both MMR and Mesh uses centralized or distributed scheduling with multicasting schemas based on scheduling trees for routing. In this paper a broad study is conducted About WiMAX technology PMP and Mesh deployments from main physical layers features with differentiation of MAC layer features to scheduling and multicasting approaches in both modes of operations

    The Role of Essential Fatty Acids in Treating Forms of Depression

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    This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Depression is a significant health concern throughout the world. One common observation is that dietary consumption of ω-3 polyunsaturated fatty acids (PUFA) has significantly decreased. With these crucial dietary components missing in dramatic proportions to that of ω-6 fatty acids (FA) a worsening of essential fatty acids (EFA) deficiencies has been linked to many diseases other than depression alone. The relationship between lack of FA as well as depression, and neurologic chemistry, the immune response, stress, genetics, bloodwork and serum levels, major depressive disorder (MDD), postpartum depression (PPD), cardiac health, and depression in the elderly is observed. Based on several studies, supplementation with a healthy dose of 1 gram per day of ω-3 PUFA, specifically eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), appreciably decrease depressive symptoms and improves mood along with other conditions

    Unilateral presentation of three muscles variants in the pectoral region

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    In this case report, we observed a situation in which three variant muscles presented unilaterally in a single cadaver. We observed that the pectoralis major muscle had a deficient sternocostal head. Also present were two muscles rarely observed in humans, a sternalis muscle, and a pectoralis quartus muscle. The existence of these muscle variants occurring individually in humans has been described in the literature for over a century. However, this is the first report of all three variants occurring simultaneously in one individual

    An Opportunistic Frequency Channels Selection Scheme for Interference Minimization

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    © ASEE 2014This paper presents a solution to resolve the interference problems between the Wi-FiTM and BluetoothTM wireless technologies. A new channel selecting approach is being used to select the frequency channel. The signal strength in a channel is assessed, and that value is used to select the channels to send data without interference. Thus we are trying to establish true "Coexistence without Compromise" between BluetoothTM and Wi-Fi TM

    A New Programming Model to Simulate Wireless Sensor Networks : Finding The Best Routing Path

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    Sensor networks provide a number of extensive programming challenges for Wireless Sensor Networks (WSNs) application programmers. Application developers have proposed various WSNs programming models to avoid these challenges and make WSN programming much easier. In this work we proposed a new programming model to find the best routing path in WSNs. Then we describe the initial design and the implementation of our proposed model and compare the results in different network topologies and evaluate the new model in terms of cost and accuracy

    Random Word Retrieval for Automatic Story Generation

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    Over the past forty years, significant research has been done on story/narrative generation, in which the computer is the author. While it is impossible to quantify a human writer’s inspiration, we can consider a common exercise that authors perform; namely ‘writing prompts’. A writing prompt is just a topic or idea around which to start writing. The prompt can simply be a few words, which becomes the basis for a story. Our automatic story generation system, will select a few random words as parameters (i.e. ‘inspiration’) for driving the ‘creative writing’ process. Here we present the results generated by the initial phase of system development and testing of the word selection components

    High-Level Abstractions in Wireless Sensor Networks: Status, Taxonomy, Challenges, and Future Directions

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    Wireless sensor networks (WSNs) have gained a lot of considerations in recent years and have significant impacts on different application areas. Wireless sensors have been successfully deployed in different computing environments to measure, gather and process the raw information in the sensing area to the observers. Sensor networks provide infinite opportunities, but at the same time pose rough challenges due to the sensors’ characteristics and the operating conditions of these sensors. This paper provides an extensive study of the current state-of-art in programming wireless sensor network, presenting a classification of programming levels in the field and highlighting some likely programming challenges and research future directions

    Secondary Fusion Reactions in the Mechanical Adiabatic Compression of a Dense Plasma

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    We consider fusion processes initiated by the rapid adiabatic compression by a piston of a deuterium plasma contained in a well‐insulated chamber. To exploit the n^2 factor in the fusion reaction rate, we consider one mole of deuterium which, at ambient temperature and pressure, provides a particle density of ~ 10^19 cm^‐3. The reaction rate is enhanced by the application of magnetic and electric fields to reduce the number of degrees of freedom of the gas, thereby lowering its heat capacity and producing a higher temperature increase for a given energy input. Previous studies have shown that the combination of adiabatic operation, high particle density and reduced degrees of freedom can result in appreciable fusion rates at temperatures lower than those in magnetic confinement experiments. The prior work considered only primary D-D fusion reactions while the present work also includes D-T reactions. Conditions of energy-break-even and excess energy release were found at temperatures of the order of 10^6 K

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