Sensory overload is the feeling of over-stimulation that may lead to increased anxiety and panic in individuals with psychiatric disorders such as autism, post traumatic stress disorder, etc. Understanding visual processing is crucial to enhancing our treatments for disorders where sensory overload is a symptom. How do changes in internal states such as stress or hunger alter visual processing? This project aims to explore how visual processing is affected by signaling in the hypothalamus, an area of the brain regulating changes in internal states and stress. Preliminary studies revealed there are a number of neurons projecting from the lateral area of the hypothalamus to the visual cortex. We want to understand the specific location, identity, and neural circuits of these neurons. Visual cortex neurons were retrogradely traced to identify which inputs originate from the hypothalamus, and the geographical location of these cells was mapped out. The molecular identities of these projection neurons was further explored using specific RNAScope probes to check if those cells are expressing any of four genes most commonly expressed in the hypothalamus: Gal, Crh, Hcrt, and Pmch. This exploration will help us understand the type of signals communicated from the hypothalamic nuclei to the visual cortex to modulate visual processing.

Under what conditions has Russia adopted assertive foreign policies towards neighbouring states in order to pursue regional primacy? Scholars usually map Russia’s foreign policy according to theoretical approaches that are generated either from the individual, the state or the structural levels of analysis. However, each of them, taken individually, cannot account for Russia’s foreign policy across space and time. This study analyses the complex interplay between causal factors by developing a neoclassical realist model of Russia’s pursue of regional primacy in the contested neighbourhood with the EU. This study employs fuzzy-set Qualitative Comparative Analysis (fsQCA) at a cross-case level and Process Tracing at within-case level. fsQCA aims to test the explanatory value of systemic conditions such as external pressure in the regional neighbourhood by other regional powers and membership of target states in a military alliance (i.e. NATO); and of domestic conditions such as Russia’s status recognition by the West, and Russia’s state capacity. This analysis is based on 27 cases of Russia’s interaction with post-Soviet states between 1992 and 2015. Process Tracing is employed as a confirmatory method for within-case analysis.The results of the study suggest that Russia was inclined to adopt assertive foreign policy instruments, particularly military intervention, if external pressure from other great powers in a neighbouring country was combined with Russia’s high state capacity to mobilise resources. Due to NATO membership by neighbouring states, Russia resorted to coercive instruments rather than to direct use of force to maintain regional primacy. Finally, from the comparative process tracing, it emerged that, besides international security concerns and domestic constraints related to Russia’s status recognition, the two violent conflicts of Nagorno-Karabakh and South Ossetia/Abkhazia in the 1990s, which were of equal threat to Russia’s regional primacy in the South Caucasus, bore a different ‘iconic significance’ to Russia.

No description available.

No description available.

The Super Dual Auroral Radar Network (SuperDARN) is an international network of high frequency (HF) coherent scatter radars, employed to detect backscatter from magnetic field aligned plasma irregularities in the ionosphere and to study the near- Earth space weather. Space weather impacts many technological systems including HF communications, Global Positioning System (GPS), and surveillance radars. Variations in the pattern of the backscatter from the ground ("ground scatter") observed by the SuperDARN radars give information regarding the state of the ionosphere. In this thesis, ray tracing simulation of the observed ground scatter pattern for the mid-latitude SuperDARN radar at Blackstone, Virginia is implemented. An existing ray tracing code was modified, to incorporate the IRI-2007 model for electron density. This ray tracing code was used to simulate the ground scatter pattern observed at Blackstone in the year 2009. Simulations were compared with the observed ground scatter to assess our understanding of the ionospheric conditions. The IRI-2007 model is found to be adequate to predict the average ground scatter pattern observed through the year, including the winter anomaly. However, one deficiency with the IRI-2007 model is its inability to predict the sporadic E layer formation in summer and an anomalous evening enhancement in backscatter power observed in some months of the year, described here for the first time. Finally some suggestions are presented for the further improvement of the simulation methods for backscatter prediction. / Master of Science

京都大学 / 新制・課程博士 / 博士(医学) / 甲第25194号 / 医博第5080号 / 新制||医||1072(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 藤田 恭之, 教授 小濱 和貴, 教授 川口 義弥 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

Wind energy is the world´s fastest-growing renewable energy source. Thus, the amount of people exposed to wind farm noise is increasing. Due to its broadband amplitude modulated characteristic, wind turbine noise (WTN) is more annoying than noise produced by other common community/industrial sources. Aerodynamic noise along the blade span is the dominant noise source of modern large wind turbines. This type of noise propagates through the atmosphere in the proximity of wind farms. However, modelling and simulating WTN propagation over large distances is challenging due to the complexity of atmospheric conditions. Real temperature, wind velocity and relative humidity measurements typically show a characteristic nonlinear behavior. A comprehensive propagation model that addresses this problem while maintaining high accuracy and computational efficiency is necessary. A Hamiltonian Ray tracing (HRT) technique coupled to aerodynamically induced WTN is presented in this work. It incorporates acoustic wave refraction due to spatial speed of sound gradients, a full Doppler Effect formulation resulting from wind velocities in any arbitrary direction, proper acoustic energy dissipation during propagation, and ground reflection. The HRT method averts many of the setbacks presented by other common numerical approaches such as fast field program (FFP), parabolic equation methods (PE), and the standard Eikonal ray tracing (ERT) technique. In addition, it is not bounded to the linearity assumptions made for analytic propagation solutions. A wave phase tracking analysis through inhomogeneous and moving media is performed. Curved ray-paths are numerically computed by solving a non-linear system of coupled first order differential equations. Sound pressure levels through the propagation media are then calculated by using standard ray tubes and performing energy analysis along them. The ray model is validated by comparing a monopole’s ray path results against analytically obtained ones. Sound pressure level predictions are also validated against both FFP and ERT methods. Finally, results for a 5MW modern wind turbine over a flat acoustically soft terrain are provided. / Master of Science / Modelling propagation of noise produced by wind turbines over large distances is a challenging task. Real temperature distributions, flow characteristics around wind turbines, and relative humidity are some of the parameters that affect the behavior of the produced sound in the atmosphere. To this end, a Hamiltonian ray tracing tool that models the propagation of wind turbine noise has been developed and is the main focus of this thesis. This method avoids many of the limitations and inaccurate assumptions presented by other common numerical and analytical approaches. In addition, current commercial noise propagation codes are incapable of fully capturing the physical complexity of the problem. Finally, validation and simulation results for a wind turbine over flat terrain are presented in order to demonstrate the superior accuracy and computational efficiency of the Hamiltonian approach.

Since the 1980s, private sector spending on Research and Development (RandD) has outpaced federal RandD spending. For example, while the Department of Defense (DoD) spent $64 billion on RandD in fiscal year 2015, the private sector spent $260 billion. DoD relies on the private sector to develop advanced technologies for defense requirements. However, some innovative businesses are hesitant to work with DoD because of the perceived bureaucracy of the DoD procurement system. Recognizing this problem, in 1989, Congress created a new type of non-procurement agreement for DoD called Other Transactions Agreements (OTs). OTs are excluded from most laws and regulations that govern traditional procurement agreements. OTs can be written to meet the needs of the parties and the project, enabling agreements that resemble commercial contracting. Congress has expanded OT authority, and DoD has issued OT guidance to its employees. But DoD has not used OTs as widely as expected. This is puzzling because commentators find OTs are helpful to DoD and the private sector in reducing the legal and regulatory compliance costs associated with the DoD procurement system. Using qualitative methods, and drawing on the OT and historical institutionalism literature, this study explores institutional factors that may explain why DoD has not more widely used OTs. The study relied on interviews with DoD employees and contractors. OT case studies were used to triangulate the interview findings. Potential causal mechanisms are identified to support future research of the DoD OT program using causal process tracing. The study findings are used to offer policy recommendations to support the wider use of OTs by DoD. / Ph. D. / Some innovative businesses are reluctant to work with the Department of Defense (DoD) due to the perceived bureaucracy of the DoD procurement system. Recognizing this problem, in 1989, Congress created a new type of non-procurement agreement for DoD called Other Transactions Agreements (OTs). Unlike traditional procurement agreements, OTs are excluded from many of the laws and regulations that reportedly deter the private sector from doing business with DoD. OTs enable agreements that more closely resemble commercial contracting. The terms and conditions of the OT can be written to meet the needs of the parties and the OT project. Thus, OTs are a flexible tool to help attract innovative businesses that would not otherwise work for DoD under traditional procurement agreements. Congress has expanded OT authority to encourage DoD to use OTs more widely. DoD has issued guidance to help its employees negotiate and administer OTs. But DoD has not used OTs as much as expected. This is puzzling because procurement and policy experts find that OTs are helpful to DoD and the private sector in reducing the legal and regulatory compliance costs often associated with the DoD procurement system. This study explores institutional and other factors that may help explain why DoD has not more widely used OTs. The study relied on interviews with DoD employees and contractors. OT case studies were used to corroborate the interview findings. The study findings are used to offer policy recommendations to support the wider use of OTs by DoD.

In recent years, digital media has seen incredible advancements in rendering visually stunning computer graphics scenes. Photo-realistic games, animated films, and more leave viewers blown away by the sheer beauty of their graphics. However, challenges arise when depicting dark scenes, often resulting in visual monotony and difficulty in comprehension due to insufficient detail within the scene. In order to enhance readability and visual interest of a scene, additional, artificial lights can be placed throughout a scene to enhance the aesthetic. These lights, however, must be strategically placed in order to retain an essence of darkness and maintain the delicate balance between light and dark. In this thesis, we explore an algorithm for light placement within low light, ray-traced scenes which leverages a k-means layering scheme to partition a scene and place artificial lights for artistic enhancement. Multiple scenes were generated and user feedback was collected comparing various lighting configurations for each scene, assessing the algorithm's effectiveness in improving readability and maintaining the desired level of darkness as well as how additional lighting affects the user's perception of the scene.

Yes / Contact tracing involves collecting people’s information to track the spread of COVID-19 and to warn people who have been in the proximity of infected individuals. This measure is important to public health and safety during the pandemic. However, customers’ concerns about the violation of their privacy might inhibit their cooperation in the contact tracing process, which poses a risk to public safety. This research investigates how to facilitate customers’ cooperative behavior in contact tracing based on cognitive trust and affective trust. The findings show that cognitive trust increases people’s willingness to disclose information and reduces their willingness to falsify it, whereas affective trust increases the willingness for both disclosure and falsification. This research contributes to the literature on customer data privacy by illuminating how cognitive and affective trust distinctly influence cooperative behavior, which has important implications for hospitality businesses.