Torque-teno viruses (TTVs) are small ubiquitous non-enveloped single-stranded circular DNA viruses. Since their discovery in a post-transfusion hepatitis patient, they have been isolated in several vertebrate hosts with over 90% prevalence, including swine. They have been detected in the environment, water sources, human drugs, vaccine and blood product as contaminants. Intriguingly, the role of TTVs in human disease causation is still not fully understood. Several epidemiological studies have associated TTVs to human diseases, like cancers, hepatitis, and autoimmune diseases, but no clear link between infection and clinical disease has been demonstrated yet. In contrast, experimental studies done in pigs demonstrated that swine TTVs (TTSuVs) could an act as sole pathogens. Other studies also demonstrated that TTSuVs could exacerbate symptoms of other viral pathogens in coinfections. Here, we showed that TTSuV1 could be zoonotic, as we detected TTSuV1 DNA in human serum samples. We also showed that TTSuV1 could replicate in human immune cells, and consequently suppress their ability to respond to immune stimuli. Further in-vivo studies, to elucidate host immune regulation by TTSuVs, showed a delayed antibody response and minimal viremia. Also, we found that viral sensing could be limited to interferon-inducing sensors (DHX36), while upregulation of PD-1 could demonstrate how these viruses may establish chronic infections. In another study, we showed the use of our novel recombinant TTSuV1 culture system to study the synergistic interactions between TTSuV1 and porcine circovirus 1 (PCV1). When both viruses were cultured together in-vitro, their respective viral titers were increased, compared to the single virus infections. We also demonstrated that increased in-vitro replication of TTSuV1 could be relying on expression of PCV1 replicase. In addition, molecular mechanisms were used to explain this synergistic relationship; a strong promoter activity by the putative major promoter of TTSuV1 was shown to be blocked PCV1 and TTSuV1 replicase proteins, but protein-DNA interaction assays need further optimizations to demonstrate physical interaction between these viruses. In conclusion, our result showed new information about TTSuV1 transmission, pathogenesis, host innate immune regulation, and their role in coinfections.

This diploma thesis is focused on the concept of threaded connection of the turbine wheel and shaft. At the beginning are described current welding methods of the turbine wheel and shaft connections as well as methods of the compressor wheel and shaft connections. Four possible concepts were designed and evaluated, and the best concept was chosen. For this concept was calculated tightening torque and concept was evaluated in terms of turbocharger operating conditions.

京都大学 / 0048 / 新制・課程博士 / 博士(理学) / 甲第20894号 / 理博第4346号 / 新制||理||1624(附属図書館) / 京都大学大学院理学研究科物理学・宇宙物理学専攻 / (主査)教授 川上 則雄, 教授 松田 祐司, 教授 前野 悦輝 / 学位規則第4条第1項該当 / Doctor of Science / Kyoto University / DFAM

Modern hybrid electric and pure electric vehicles are highly dependent on control algorithms to provide seamless safe and reliable operation under any driving condition, regardless of driver behavior. Three unique and independently operating supervisory control algorithms are introduced to improve reliability and vehicle performance on a series-hybrid electric vehicle with an all-wheel drive all-electric drivetrain. All three algorithms dynamically control or limit the amount of torque that can be delivered to the wheels through an all-electric drivetrain, consisting of two independently controlled brushless-direct current (BLDC) electric machines. Each algorithm was developed and validated following a standard iterative engineering development process which places a heavy emphasis on modeling and simulation to validate the algorithms before they are tested on the physical system. A comparison of simulated and in-vehicle test results is presented, emphasizing the importance of modeling and simulation in the design process.

This thesis models and analyzes an in-situ method for measuring the density of the thermosphere at low Earth orbit (LEO) altitudes in real time. As satellites orbit in the thermosphere, the sparse yet present air perturbs their orbits via the drag force. The drag force is poorly characterized and has a significant effect at LEO altitudes relative to other forces, making this perturbation force one of the greatest uncertainties in LEO orbit propagation. A steadily increasing number of satellites orbit at LEO altitudes, so for safety, it is critical to accurately track these satellites to avoid collisions. Therefore, better knowledge of the drag force is required. The drag force depends directly on the air mass density in the thermosphere, and current knowledge of the thermospheric density is limited. Models exist to describe the variations in density over time, but due to the many unpredictable factors which affect the thermosphere, the best of these models are only accurate to within 10%. Also, currently available techniques to measure the thermospheric density can only return time-averaged measurements, which causes inaccuracies in orbit propagation due to local density variations. Some planned in-situ density measurement missions rely on measuring acceleration caused by the drag force, but this requires a highly accurate accelerometer to be able to separate the drag force from other stronger forces acting on a satellite. The Satellite Producing Aerodynamic Torque to Understand LEO Atmosphere (SPATULA) concept was introduced as an alternative method, which infers density based on measurements of the drag torque. In the rotational regime, drag produces the strongest torque at LEO altitudes by far, making it possible to acquire accurate density measurements with inexpensive, commercially available sensors and actuators on a SPATULA spacecraft. This thesis expands upon a preliminary study of the SPATULA concept. A SPATULA spacecraft's dynamics are modeled in three dimensions, and a novel method is introduced for modeling the dependence of external torques on the geometry and attitude of the spacecraft. In addition to the dynamics model, discrete-time algorithms for guidance, system state filtering, attitude control, and density estimation are developed for the six degrees of freedom case. The MathWorks tools MATLAB and Simulink are used to simulate the physics and system models. The simulations are used to evaluate the performance of the SPATULA system's density measurements and compare them to conventional methods. It is found that the accuracy and bandwidth of the SPATULA system have a significant dependence on the assumed accuracy of the torque models in the system's filter. When the bandwidth is set to avoid significant phase shift errors, the SPATULA system can produce real-time measurements of density accurate over a minimum time scale of about 60 seconds, and the density error has a standard deviation of about 2 x 10^-14 kg/m^3. This accuracy is about 6 times better than the best thermospheric models, and it is also better than reported accuracies of most other density measurement methods. If bandwidth is sacrificed, the density error standard deviation can be decreased by a factor of 4. This introduces additional error due to phase shift delays, but these can be corrected with signal processing techniques. With the higher accuracy, the SPATULA system loses its real-time ability, but the data it produces would still provide excellent insight for improving thermospheric models. With high accuracy and low cost, the SPATULA concept is a promising path to pursue toward improving thermospheric density knowledge. / Master of Science / This thesis models and analyzes a method for measuring the density of the upper atmosphere in real time directly onboard a satellite. As low Earth orbit (LEO) satellites orbit at low altitudes, the sparse yet present atmosphere changes their orbits via the drag force. The drag force is poorly characterized and has a significant effect at LEO altitudes relative to other forces, making this perturbation force one of the greatest uncertainties in LEO orbit prediction. A steadily increasing number of satellites orbit at LEO altitudes, so for safety, it is critical to accurately track and predict the orbits of these satellites to avoid collisions. Therefore, better knowledge of the drag force is required. The drag force depends directly on air density, and current knowledge of the upper atmospheric density is limited. Models exist to describe the variations in density over time, but due to the many unpredictable factors which affect the atmosphere, the best of these models are only accurate to within 10%. Also, currently available techniques to measure the upper atmospheric density can only return time-averaged measurements, which causes inaccuracies in orbit prediction due to local density variations. Some planned density measurement missions rely on measuring acceleration caused by the drag force, but this requires a highly accurate accelerometer to be able to separate the drag force from other stronger forces acting on a satellite. The Satellite Producing Aerodynamic Torque to Understand LEO Atmosphere (SPATULA) concept was introduced as an alternative method, which infers density based on measurements of the drag torque. Drag produces the strongest torque at LEO altitudes by far, making it possible to acquire accurate density measurements with inexpensive, commercially available parts on a SPATULA spacecraft. This thesis expands upon a preliminary study of the SPATULA concept. A SPATULA spacecraft's motion and rotation is modeled in three dimensions, and a novel method is introduced for modeling the dependence of external torques on the geometry and orientation of the spacecraft. In addition to the dynamics model, algorithms that could be implemented on a satellite's computer are developed for determining the best orientation, estimating the state of the system, controlling the orientation, and estimating density. The MathWorks tools MATLAB and Simulink are used to simulate the physics and system models. The simulations are used to evaluate the performance of the SPATULA system's density measurements and compare them to conventional methods. It is found that the accuracy and bandwidth of the SPATULA system have a significant dependence on the assumed accuracy of the torque models used by the system. When a high bandwidth is used to avoid problems associated with low bandwidth, the SPATULA system can produce real-time measurements of density accurate over a minimum time scale of about 60 seconds, and the density error has a standard deviation of about 2 x 10^-14 kg/m^2. This accuracy is about 6 times better than the best upper atmospheric models, and it is also better than reported accuracies of most other density measurement methods. If bandwidth is sacrificed, the density error standard deviation can be decreased by a factor of 4. This introduces additional error due to delayed measurements of quickly varying components of the density, but these can be corrected with signal processing techniques. With the higher accuracy, the SPATULA system loses its real-time ability, but the data it produces would still provide excellent insight for improving atmospheric density models. With high accuracy and low cost, the SPATULA concept is a promising path to pursue toward improving density knowledge.

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Measurement of dynamic/transient torques is important in the dynamic analysis of rotating machinery as it provides insight into the internal state of the machine. Existing methods are difficult to implement, results are not obtained in real-time and are not very accurate. This thesis introduces a new method of determining real-time dynamic torque. An optical encoder is used to sense motion at a convenient point in the rotating system containing the rigid shaft of interest. The encoder's output is processed digitally to yield angular velocity, acceleration and dynamic torque. Two different experiments were conducted to demonstrate the advantages of this new method of determining dynamic torque over conventional methods. In one experiment, an extension spring was mounted on a crank arrangement coupled to a fractional horsepower motor to apply a periodic load to the system. A mathematical model of this dynamic system was developed to compare the results of this model with that of the instrumentation system. In another experiment, the instrumentation system was used on an existing motor-compressor system. The dynamic torque thus determined was again compared with the results of a simulation program. In both the above experiments the evaluated dynamic torque and computed dynamic torque were within 5% of each other, demonstrating accuracy and reliability of this personal computer based dynamic torque determining system. / Master of Science