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Internet of Things in Health Care Using Fog Computing
No full textInternet of Things has seeded in many areas of humanoid lifestyle, of which the health care is the most crucial area on which the focus is to be induced. This paper will describe the use of smartphones as a sensor to keep the track of the health of the patients. Considering the various disadvantages of using cloud computing, this paper will be talking about the use of fog computing for faster analysis of data. Fog Computing will emphasize on three types of patients and those would include the ones who are critically Injured or just generally hospitalized or the ones who might in future need occasional monitoring since they were discharged depending upon their current health status
Decision Making in Technology Management - Can Knowledge Management Systems Enable Pediatric Oncology Caregiving Effectiveness?
No full textThis study aims at developing the technology framework for an integrated platform which enables key stakeholders in the caregiving system to communicate with reliable, trustworthy sources thereby improving pediatric oncology patient outcomes
A Model for Optimal Prevention: Naturopathic Community Healthcare
No full textThe burden of chronic disease continues to rise while adequate access to healthcare continues to remain elusive for many at risk populations. The US continues to spend more of its budget on treating preventable diseases with 86% of it’s $2.7 trillion expenditures in 2016 dedicated to people with chronic and mental health conditions. A new model of healthcare is required to tackle the problems the nation continues to face and involves an integrative model of healthcare with prevention at its center and naturopathic physicians leading the way as expert prevention specialists
Psychological Effects of ACL Injuries on an Athlete’s Return to Sport
No full textWhile much attention is paid to physical rehabilitation, a review of the literature indicates that it is the psychological return to sport post-injury that most significantly determines a successful return. That is, with proper rehabilitation and strength training an athlete can achieve a successful physical return however, psychological factors are often unseen, unreported, or ignored and consequently have the greatest impact on performance. Fear of injury is something all athletes face, however, post-injury this fear intensifies impacting an athlete’s cognitions, confidence, and performance. Results from the current inquiry indicate that the ACL injury has specifically been shown to have greater psychological consequences, than other injuries. Factors such as a long recovery time and significant amounts of rehabilitation as well as several months away from competitive sports, are all contributing factors to psychological stress
The Effect of Steviol and Hyperthermia on Murine Mammary Adenocarcinoma Cells
No full textSteviol has been reported to mediate G2/M phase arrest in response to DNA damage thus preventing entry into the M phase. At that point, further treatment with hyperthermia might induce a total apoptosis. Thus, in this experiment, Chinese hamster ovary (CHO) and MTGB (a murine mammary adenocarcinoma) cells will be treated with steviol alone, steviol with hyperthermia, and hyperthermia alone to evaluate their cytotoxic and apoptotic potential. Their cytotoxicity will be compared to determine if hyperthermia could work with steviol to increase its cytotoxicity and apoptotic effect
Fabrication of Flexible, Conductive Polypyrrole-Graphene Quantum Dot (PPy-GQD) Nanocomposite via Electrodeposition on Carbon Fiber Mesh
No full textFaculty Research Day 2018: Graduate Student Poster Honorable MentionCarbon fibers have recently gained popularity for their variety of applications as a working electrode material. Due to their conductive nature, high specific surface area, and chemical inertness, they prove to be an ideal material for electrodeposition of a variety of materials for future in vivo or in situ biomedical applications. Here, we use cyclic voltammetry to simultaneously polymerize polypyrrole (PPy) and integrate graphene quantum dots (GQDs), while depositing onto a carbon fiber mesh (CF). Polypyrrole has been used in a variety of applications due to it’s conductive nature and GQDs have been used for their electronic properties as well. This nanocomposite will be further characterized using SEM, TEM, Raman, cyclic voltammetry, and electrochemical impedance spectroscopy to determine structural and functional capabilities
Trade War: GDP vs GNP Developing vs Developed countries
No full textGDP and GNP both try to measure the market value of all goods and services produced for final sale in an economy. The difference is how each term interprets what constitutes the economy. GDP refers to and measures the domestic levels of production in a country. It represents the monetary value of all goods and services produced within a nation's geographic borders over a specified period of time. GNP measures the levels of production of all the citizens or corporations from a particular country working or producing in any country. Therefore, it includes the compensation and investment income received by nationals working or investing abroad. More closed economy impact negatively more on GDP. We see how New Trade War impact to GDP and GNP on developed and developing countries differently
Pop-Up Experiences & Unfolding Housing
No full textThe un-folding design, efficient transportation methods, and rapid on site set up make this a perfect fit for any home owner, college campus job site operations, with housing needs, recreational market, community developers and even municipalities looking for meaningful alternatives to current housing options on the market. During transport, the home is cleverly folded into that of a standard sized 53’ semi, just like all of those huge tractor trailers you pass when driving down the highway. This standard shipping size allows the UnFOLD homes and structures to be delivered almost anywhere in the world over land or sea. Versatile by its unique unfolding design, this nomadic, expanding modular, modern shelter system eliminates the feeling of a railroad apartment or bowling alley common with tiny homes. By unfolding a central living room and upwardly expanding a second story it looks and behaves more like the living spaces of up to 800 square feet that we have come to expect and love. The larger models expand to triple their original footprint (or even 5 times in size) to create the possibility of 1,350 square feet or up to 2,225 square feet The UnFOLD homes and structures has been created as a response to the many unresolved, unsustainable and often inflated housing costs. Currently there is also a missed opportunity to better integrate technology into our homes, and events spaces. Unfolding architecture is a quest for a more expressive and honest architecture to transform the way we live and the way we activate the places and spaces that matter to us. The unlimited applications look to revolutionize the way we think about housing, architecture and the future of the human footprint on earth
Optimizing Source Anonymity Of Wireless Sensor Networks Against Global Adversary Using Fake Packet Injections
No full textWireless Sensor Networks WSNs have been utilized for many applications such as tracking and monitoring of endangered species in a national park, soldiers in a battlefield, and many others, which require anonymity of the origin, known as the Source Location Privacy (SLP). The aim of SLP is to prevent unauthorized observers from tracing the source of a real event (an asset) by analyzing the traffic of the network. We develop the following six techniques to provide anonymity: Dummy Uniform Distribution (DUD), Dummy Adaptive Distribution (DAD), Controlled Dummy Adaptive Distribution (CAD), Exponential Dummy Adaptive Distribution (EDAD), Exponential Dummy Adaptive Distribution Plus One (EDADP1), and Exponential Dummy Adaptive Distribution Plus Two (EDADP2). Moreover, an enhanced version of the well-known FitProbRate technique is also developed. The purpose of these techniques is to overcome the anonymity problem against a global adversary model that has the capability of analyzing and monitoring the entire network. We perform an extensive verification of the proposed techniques via simulation, statistical, and visualization approaches. Three analytical models are developed to verify the performance of our techniques: A Visualization model is performed on the simulation data to confirm anonymity. A Neural Network model is developed to ensure that the introduced techniques preserve SLP. In addition, a Steganography model based on statistical empirical data is implemented to validate the anonymity of the proposed techniques. The Simulation demonstrates that the proposed techniques provide a reasonable delay, delivery ratio, and overhead of the real event's packets while keeping a high level of anonymity. Results show that the improved version of FitProbRate massively reduces the number of operations needed to detect the distribution type of a data sequence despite the number of intervals when compared to the original. A comprehensive comparison between EDADP1, EDADP2, and FitProbRate in terms of the average delay, anonymity level, average processing time, Anderson-Darling test, and polluted scenarios is conducted. Results show that all three techniques have a similar performance regarding the average delay and Anderson-Darling test. However, the proposed techniques outperform FitProbRate in terms of anonymity level, average processing time, and polluted scenarios. WSN applications that need privacy can select the suitable proposed technique based on the required level of anonymity with respect to delay, delivery ratio, and overhead