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Breakfast may not be the most important meal of the day: The Benefits of Intermittent Fasting on Health, Exercise, and Muscle Growth
No full textThis thesis was devoted to dispelling some of the controversy associated with intermittent fasting and reveal just how beneficial the practice of intermittent fasting can be in terms of improving one’s health, and its revolution on the traditional bodybuilding process
Winter Olympic Games in South Korea: Media Coverage of NoKo and Public Opinion in the PRC and USA in 2018
No full textMohammed Al-Azdee, Yanmin Yu, Zeyuan Du, and Srishti Puri's poster on the media coverage of North Korea and public opinion of in both the People's Republic of Korea and the United States of America in the context of the 2018 Winter Olympic Games in South Korea
The Impact of Behavioral Biases on the Process of Decision-making
No full textReda Salah Bennani's poster on behavioral biases in decision-making
Tend
No full textTend is an app with recovery at the forefront of its design. Tend would be using the most recent and effective techniques for people with depression and anxiety in their day to day lives
How Will American Households Respond to the New Tax Reform?
No full textA historical tax cut was one of the promises President Donald Trump made during his presidential campaign. On December 22nd, 2017 that proposal was enacted into a law that aims to revitalize the United States’ economy. To achieve this goal, there is one action that the government expects American households will respond to: savings. According to the House Speaker Paul Ryan, the H.R. 1, Tax Cuts and Jobs Act “provides particular relief to low income and middle class families to make sure they keep more of their hard-earned money” (n.d). From this Government’s perspective, saving should prevail over consumption for an economic growth in the short term. The dilemma comes when how the target audience, in this case American households will respond to this stimulus. Thus, this research addresses two questions: 1. How American households have responded regarding consumption and saving due to past tax cuts? 2. What would be the households’ response to consumption and saving with the new H.R. 1, Tax Cuts and Jobs Act enacted by President Donald Trump’s administration
Access Analysis of GEO, MEO, & LEO Satellite Systems
No full textThe goal of this study is to calculate access duration and intervals for three different kinds of satellite schemes to support a WSN (wireless sensor network). The first scenario involves only LEO-level satellites. The second scenario involves LEO, MEO, and GEO level satellites. The third scenario involves only MEO level satellites. These scenarios are simulated using STK (Systems Tool Kit)
Cognitive Robotic Disassembly Sequencing For Electromechanical End-Of-Life Products Via Decision-Maker-Centered Heuristic Optimization Algorithm
No full textEnd-of-life (EOL) disassembly has developed into a major research area within the sustainability paradigm, resulting in the emergence of several algorithms and models to solve related problems. End-of-life disassembly focuses on regaining the value added into products which are considered to have completed their useful lives due to a variety of reasons such as lack of technical functionality and/or lack of demand. Disassembly is known to possess unique characteristics due to possible changes in the EOL product structure and hence, cannot be considered as the reverse of assembly operations. With the same logic, obtaining a near-optimal/optimal disassembly sequence requires intelligent decision making during the disassembly when the sequence need to be regenerated to accommodate these unforeseeable changes. That is, if one or more components which were included in the original bill-of-material (BOM) of the product is missing and/or if one or more joint types are different than the ones that are listed in the original BOM, the sequencer needs to be able to adapt and generate a new and accurate alternative for disassembly. These considerations require disassembly sequencing to be solved by highly adaptive methodologies justifying the utilization of image detection technologies for online real-time disassembly. These methodologies should also be capable of handling efficient search techniques which would provide equally reliable but faster solutions compared to their exhaustive search counterparts. Therefore, EOL disassembly sequencing literature offers a variety of heuristics techniques such as Genetic Algorithm (GA), Tabu Search (TS), Ant Colony Optimization (ACO), Simulated Annealing (SA) and Neural Networks (NN). As with any data driven technique, the performance of the proposed methodologies is heavily reliant on the accuracy and the flexibility of the algorithms and their abilities to accommodate several special considerations such as preserving the precedence relationships during disassembly while obtaining near-optimal or optimal solutions. This research proposes three approaches to the EOL disassembly sequencing problem. The first approach builds on previous disassembly sequencing research and proposes a Tabu Search based methodology to solve the problem. The objectives of this proposed algorithm are to minimize: (1) the traveled distance by the robotic arm, (2) the number of disassembly method changes, and (3) the number of robotic arm travels by combining the identical-material components together and hence eliminating unnecessary disassembly operations. In addition to improving the quality of optimum sequence generation, a comprehensive statistical analysis comparing the results of the previous Genetic Algorithm with the proposed Tabu Search Algorithm is also included. Following this, the disassembly sequencing problem is further investigated by introducing an automated disassembly framework for end-of-life electronic products. This proposed model is able to incorporate decision makers’ (DMs’) preferences into the problem environment for efficient material and component recovery. The proposed disassembly sequencing approach is composed of two steps. The first step involves the detection of objects and deals with the identification of precedence relationships among components. This stage utilizes the BOMs of the EOL products as the primary data source. The second step identifies the most appropriate disassembly operation alternative for each component. This is often a challenging task requiring expert opinion since the decision is based on several factors such as the purpose of disassembly, the disassembly method to be used, and the component availability in the product. Given that there are several factors to be considered, the problem is modeled using a multi-criteria decision making (MCDM) method. In this regard, an Analytic Hierarchy Process (AHP) model is created to incorporate DMs’ verbal expressions into the decision problem while validating the consistency of findings. These results are then fed into a metaheuristic algorithm to obtain the optimum or near-optimum disassembly sequence. In this step, a metaheuristic technique, Simulated Annealing (SA) algorithm, is used. In order to test the robustness of the proposed Simulated Annealing algorithm an experiment is designed using an Orthogonal Array (OA) and a comparison with an exhaustive search is conducted. In addition to testing the robustness of SA, a third approach is simultaneously proposed to include multiple stations using task allocation. Task allocation is utilized to find the optimum or near-optimum solution to distribute the tasks over all the available stations using SA. The research concludes with proposing a serverless architecture to solve the resource allocation problem. The architecture also supports non-conventional solutions and machine learning which aligns with the problems investigated in this research. Numerical examples are provided to demonstrate the functionality of the proposed approaches
Classifying Hypersexuality as Deviant Behavior
No full textOur culture has a normative perception of sex as an essential act used to procreate. When men and women deviate from this behavior and engage in excessive sex with multiple partners this can be viewed as "deviant". This deviance is termed as "hypersexual". Hypersexual is defined as when someone experiences a heightened sex drive, engages in frequent and obsessive sexual intercourse leading to distress & disfunction in daily life. This paper will argue that the deviance of Hypersexual Disorder (HD) results in psychological and physical harm and therefore should be included in the Diagnostic Statistic Manual
Alexithymia and Emotional Ambivalence as Predictors of College Adjustment
No full textThe current study evaluated the constructs alexithymia and emotional ambivalence, regarding their impact on adjustment to college. Alexithymia is an emotional processing concept which is defined as difficulty identifying and describing feelings, externally oriented thought, and limited imaginal ability. Emotional ambivalence is the ongoing internal conflict about the desire to hide emotions, despite external circumstances that demand disclosure, and/or regret over decisions to disclose feelings. These were both looked at as predictors of college adjustment, with the inclusion of chronic pain and psychiatric distress as physical and mental health components of the transition