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We organize our ten tips as follows. At the beginning, the first five tips regard prac- tices to consider before commencing to program a machine learning software (the dataset check and arrangement in Tip 1, the dataset subset split in Tip 2, the problem category framing in Tip 3, the algorithm choice in Tip 4, and the handling of imbalanced dataset problem in Tip 5). After them, the next two tips regard relevant practices to adopt during the machine learning program development (the hyper-parameter optimization in Tip 6, and the handling of the overfitting problem in Tip 7). Moreover, the following tip refers to what to do at the end of a machine learning algorithm execution (the performance score evaluation in Tip 8). Finally, the last two tips regard broad general best practices on how to arrange a project, and are valid not only in machine learning and computational biol- ogy, but in any scientific field (choosing open source programming platforms in Tip 9, and asking feedback and help from experts in Tip 10).
right. Your graph should include (0, 0), (2, 10), and (4, 40). A. Where does the runner start? ____________________ B. Where will he be after 2 seconds? ________________ C. Where will he be after 4 seconds? ________________ D. In which time interval do you think the runner will be
Multiple chemical sensitivity (MCS) is a chronic condi- tion of unknown etiology [1-3]. MCS symptoms are trig- gered by exposure to common odors and other airborne chemicals in low concentrations; for example, perfume, freshly printed newspapers or magazines, cooking fumes or new electronic equipment. Symptoms related to the central nervous system (CNS; for example, headache, ex- haustion, and concentration difficulties) are commonly reported, but other organ systems such as the airways, muscles, and joints are also often involved in symptom reports . In severe cases, MCS can lead to loss of em- ployment and social isolation [2,5,6]. Other labels have been ascribed to the symptoms (for example, chemical intolerance and idiopathic environmental intolerance) but MCS is widely used in the scientific literature and will be used here without reference to any assumptions about etiology. The etiology and pathophysiology of MCS remain largely unclarified. However, current find- ings suggest that both biological and psychological mechanisms are involved [4,7-10]. Within the biological spectrum, the theory of an abnormal response in the CNS termed central sensitization is receiving increasing scientific attention [7-9,11], partly because this hypoth- esis is compatible with the polysymptomatic manifesta- tions from multiple organ systems and with the often reported association with symptoms of negative affec- tivity and stress [12-17]. The theory of central sensiti- zation is further supported by recent findings. During odor provocations, brain imaging studies have demon- strated a significantly reduced activity in the cerebral areas that process olfactory stimuli in MCS patients compared with healthy controls [18,19]. Suggestions have been made that the observed reduction in cerebral activity reflects reduced activity in the inhibitory brain circuits, thus resulting in an increased response to nor- mal sensory input ; that is, central sensitization. In controlled experimental pain studies, the presence of central sensitization in MCS has also been supported by findings of enlarged areas of capsaicin-induced second- ary mechanical hyperalgesia [20,21]. Capsaicin (the ac- tive component in chili peppers) injections in the skin induce secondary mechanical hyperalgesia, which is an increased sensitivity to mechanical stimuli in the skin surrounding the injection site and is considered to be a CNS response.
This Final Design Review document encompasses the entirety of a sponsored senior project which was conducted by a group of four undergraduate mechanical engineers at California Polytechnic University San Luis Obispo. The primary sponsor of this project was Solar Turbines, a subsidiary of Caterpillar Incorporated. Solar Turbines is in the business of development and application of modern-day energy solutions with a large focus on gas powered turbines. Cal Poly acted as a supplemental support of this project and provide the students with mentorship as well as access to its state-of-the-art facilities for the development of an innovative solution to the design challenge submitted by Solar Turbines. The submittal states a desire to improve the deployment timeline of Solar Turbines’ Titan 130 Gas Turbine Mobile Power Unit. This unit hosts a split drive train with a turbine mounted on one semi-trailer (driving trailer) and a generator mounted on another semi-trailer (driven trailer). These two trailers must be accurately aligned and securely fastened, currently taking roughly 12 hours. Seven of these hours account for aligning and leveling the two trailers and five hours account for securing the trailers using tension bolt fasteners. The process is desired to be reduced to 4 hours without compromising the strength of the connection points. The specified alignment tolerance of the trailers was given as + ¼ inch. The primary stresses in the connection are due to the torsional load resulting from the rotation of the turbine. There are two load conditions that were factored into the design: the normal operating load and the short circuit load. The normal operation load of #### ft-lb f is the torque to be experienced by