In this research, the integration of the servomechanism control and process control for machining processes has been studied. As enabling strategies for next generation quality control, process monitoring and open architecture machine tools will be implemented on production floor. This trend brings a new method to implement control algorithm in machining processes. Instead of using separate modules for servomechanism control and process control individually, the integrated controller is proposed in this research to simultaneously achieve goals in servomechanism level and the process level. This research is motivated by the benefits brought by the integration of servomechanism control and process control. Firstly, the integration simplifies the control system design. Secondly, the integration promotes the adoption of process control on production floor. Thirdly, the integration facilitates portability between machine tools. Finally, the integration provides convenience for both the servomechanism and process simulation in virtual machine tool environment. The servomechanism control proposed in this research is based on error space approach. This approach is suitable for motion control for complex contour. When implement the integration of servomechanism control and process control, two kinds of processes may be encountered. One is the process whose model parameters can be aggregated with the servomechanism states and the tool path does not need real time offset. The other is the process which does not have direct relationship with the servomechanism states and tool path may need to be modified real time during machining. The integration strategies applied in error space are proposed for each case. Different integration strategies would propagate the process control goal into the motion control scheme such that the integrated control can simultaneously achieve goals of both the servomechanism and the process levels. Integrated force-contour-position control in turning is used as one example in which the process parameters can be aggregated with the servomechanism states. In this case, the process level aims to minimize cutting force variation while the servomechanism level is to achieve zero contour error. Both force variation and contour error can be represented by the servomechanism states. Then, the integrated control design is formulated as a linear quadratic regulator (LQR) problem in error space. Force variation and contour error are treated as part of performance index to be minimized in the LQR problem. On the other hand, the controller designed by LQR in error space can guarantee the asymptotic tracking stability of the servomechanism for complex contour. Therefore, the integrated controller can implement the process control and the servomechanism control simultaneously. Cutter deflection compensation for helical end milling processes is used as one example in which the process cannot be directly associated with the servomechanism states. Cutter deflection compensation requires real-time tool path offset to reduce the surface error due to cutter deflection. Therefore, real time interpolation is required to provide reference trajectory for the servomechanism controller. With the real time information about surface error, the servomechanism controller can not only implement motion control for contour requirement, but also compensation for the dimensional error caused by cutter deflection. In other words, the real time interpolator along with the servomechanism controller can achieve the goals of both the servomechanism and process level. In this study, the cutter deflection in helical end milling processes is analyzed first to illustrate the indirect relationship between cutter deflection and surface accuracy. Cutter deflection is examined for three kinds of surfaces including straight surface, circular surface, and curved surface. The simulation-based deflection analysis will be used to emulate measurement from sensors and update the real-time interpolator to offset tool path. The controller designed through pole placement in error space can guarantee the robust tracking performance of the updated reference trajectory combining both contour and tool path offset required for deflection compensation. A variety of cutting conditions are simulated to demonstrate the compensation results. In summary, the process control is integrated with the servomechanism control through either direct servomechanism controller design without tool path modification or servomechanism control with real time interpolation responding to process variation. Therefore, the process control can be implemented as a module within machine tools. Such integration will enhance the penetration of process control on production floor to increase machining productivity and product quality.

Thesis advisor: Mary Ellen Carter / Thesis advisor: Amy Hutton / Managerial share pledging (using shares as collateral for personal loans) is controversial. Institutional Shareholder Services (ISS), highly publicized anecdotes, and international research suggest that share pledging increases the risk of stock price crashes. Nevertheless, U.S. boards continue to allow the practice, suggesting that share pledging benefits shareholders or some boards are beholden to controlling managers who enjoy the private benefits of share pledging. Using a hand-collected dataset of share pledging by executives and directors of S&P 1500 firms from 2007-2020, I document three benefits-greater incentive alignment, reduced executive pay and lower voluntary executive turnover-while finding little evidence of increased crash risk. Interestingly, these benefits do not exist for firms with high managerial control. However ISS's 2012 policy denouncing share pledging did little to reduce share pledging among these firms. Instead the ISS policy increased negative shareholder votes at firms with both high and low managerial control with any share pledging, coinciding with a reduction in share pledging at firms with low managerial control, despite these firms enjoying benefits from share pledging. Overall my findings suggest that, for well-governed firms, managerial share pledging facilitates incentive alignment and lowers executive turnover and pay while not increasing stock price crash risk, calling into question efforts by ISS and others to curb the practice for all firms. / Thesis (PhD) — Boston College, 2024. / Submitted to: Boston College. Carroll School of Management. / Discipline: Accounting.

It is estimated that 50,000 individuals become newly infected with human immunodeficiency virus (HIV) every year in the United States. HIV is a lentivirus that is primarily spread through sexual contact. If left untreated, this viral infection can lead to decreased CD4+ T cells, increased susceptibility to opportunistic infections, and eventually progression to acquired immunodeficiency syndrome (AIDS) and death. HIV viral loads can be decreased to undetectable levels with the use of combination antiretroviral therapy (cART). In 2012 the Food and Drug Administration approved cART therapy, Truvada (tenofovir/emtricitabine), for safe use as pre-exposure prophylaxis (PrEP). When detectable levels of drug are present in the blood stream of patients, there is up to a 92% relative risk reduction in HIV infection compared to placebo. The implementation of PrEP has the potential to decrease the incidence of new HIV infections in at-risk populations worldwide. Because PrEP treatment is relatively new (2012), there are many barriers to administration to patients. Increased risky sexual behavior, known as risk compensation, is one of the concerns providers cite as a reason against prescribing PrEP. Most publications on PrEP have described randomized controlled trials that focused on safety, efficacy, and to a lesser extent, risk compensation behaviors. Now that Truvada is widely available, researchers are starting to elucidate patients’ sexual habits while using PrEP in the outpatient settings. However, there is a need for more longitudinal research regarding the behaviors of individuals using PrEP, specifically to determine how often risk compensation occurs and under what conditions. This study will initiate a PrEP clinic at Boston Medical Center and run a 3 year, open-label randomized controlled trial of eligible men who have sex with men (MSM) patients, who either start PrEP immediately or are delayed by one year. It is hypothesized that condom usage will decrease among immediate PrEP participants compared to the delayed participants. The study aims to determine if risk compensation occurs in these patients by following condom usage, development of sexually transmitted infections, number of sexual partners, and number/type of sexual encounter. Secondary outcomes will include measurements of medication adherence and number of HIV-seroconverters. These data will be collected through surveys and laboratory testing. The resulting information will help medical professionals better understand the risks and benefits of PrEP and also how to implement it most effectively in the fight to reduce the worldwide HIV burden.

One of the main objectives of evolutionary biology is to understand the reasons behind the maintenance of individual differences in a multitude of traits that influence fitness such as locomotor performance and behaviour. Because locomotor performance sets an "envelope" within which behaviour is expressed, it is likely that a multitude of co-adaptations exists between these two suites of traits. In recent years, a growing number of studies have identified associations of different strength and directions between performance and behaviour. Two main hypotheses have received support, on one hand locomotor performance could be "co-specialized" with behaviour in a manner that behaviour reduces predation risk, such that shyer, less active, less explorative animals should be the best sprinters and the most endurant. On the other hand, locomotor performance could "compensate" for behaviours that lead to increased predation risk, in a way that bolder, more active and explorative animals should be able to sprint faster and for longer. In my thesis I provide a review of published studies that successfully identify associations between locomotor performance and behaviour and classify each association as supporting the co-specialization or compensation hypothesis respectively. I further elaborate on the importance of using repeated measurements and (co)variance partitioning when studying correlations between labile traits. I also discuss one of the main challenges that comes with studying locomotor performance, namely the importance of the variation in motivation, both methodologically, by using different performance tests, but also physiologically, by using blood corticosterone measurements as indicators of such variation.

The objective of this dissertation is to provide key methodological advancements towards the use of transfer learning in Laser-Based Additive Manufacturing (LBAM), to assist practitioners in producing high-quality repeatable parts. Currently, in LBAM processes, there is an urgent need to improve the quality and repeatability of the manufacturing process. Fabricating parts using LBAM is often expensive, due to the high cost of materials, the skilled machine operators needed for operation, and the long build times needed to fabricate parts. Additionally, monitoring the LBAM process is expensive, due to the highly specialized infrared sensors needed to monitor the thermal evolution of the part. These factors lead to a key challenge of improving the quality of additively manufactured parts, because additional experiments and/or sensors is expensive. We propose to use transfer learning, which is a statistical technique for transferring knowledge from one domain to a similar, yet distinct, domain, to leverage previous non-identical experiments to assist practitioners in expediting part certification. By using transfer learning, previous experiments completed in similar, but non-identical, domains can be used to provide insight towards the fabrication of high-quality parts. In this dissertation, transfer learning is applied to four key domains within LBAM. First, transfer learning is used for sensor fusion, specifically to calibrate the infrared camera with true temperature measurements from the pyrometer. Second, a Bayesian transfer learning approach is developed to transfer knowledge across different material systems, by modelling material differences as a lurking variable. Third, a Bayesian transfer learning approach for predicting distortion is developed to transfer knowledge from a baseline machine system to a new machine system, by modelling machine differences as a lurking variable. Finally, compensation plans are developed from the transfer learning models to assist practitioners in improving the quality of parts using previous experiments. The work of this dissertation provides current practitioners with methods for sensor fusion, material/machine calibration, and efficient learning of compensation plans with few samples.

The effect of the electrical field enhancement at the junction discontinuities and its impact on the on-state resistance of power semiconductor devices was investigated. A systematic analysis of the mechanisms behind the techniques that can be used for the edge termination in power semiconductor devices was performed. The influence of the passivation layer properties, such as effective interface charge and dielectric permittivity, on the devices with different edge terminations was analyzed using numerical simulation. A compact analytical expression for the optimal JTE dose was proposed for the first time. This expression has been numerically evaluated for different targeted values of the blocking voltage and the maximum electric field, always resulting in the optimal field distribution that does not require further optimization with 2-D device simulator. A compact set of rules for the optimal design of super-junction power devices was developed. Compact analytical expressions for the optimal dopings and dimensions of the devices employed the field compensation technique are derived and validated with the results of numerical simulations on practical device structures. A comparative experimental study of several approaches used for the edge termination in SiC power diodes and transistors was performed. The investigated techniques included the mesa termination, high-k termination, JTE, and the combination of JTE and field plate edge termination. The mesa edge termination was found to be the most promising among the techniques investigated in this work. This stand-along technique satisfied all the imposed requirements for the ?ideal? edge termination: performance, reproducibility (scalability), and cost-efficiency. First of all, it resulted in the maximum one-dimensional electric field (E1DMAX) at the main device junction equal to 2.4 MV/cm or 93% of the theoretical value of critical electric field in 4H-SiC. Secondly, the measured E1DMAX was found to be independent of the voltage blocking layer parameters that demonstrate the scalability of this technique. Lastly, the implementation of this technique does not require expensive fabrication steps, and along with an efficient use of the die area results in the low cost and high yield.

The Power Electronic Building Block (PEBB) concept leads to multifunctional converter systems, which provide robustness and flexibility in heavily power electronics based power systems. Systems comprised of flexible modular converters may have multiple possible operation conditions with respect to individual converters that meet the overall system goals. In this thesis, an optimization method for such flexible online power electronic systems is developed to minimize power losses of the overall group of converters in the system. Here the objective is to allocate sharing such that compensation objectives are met while the power loss of the entire parallel group of compensators is minimized. Considering optimization of an online power electronic system, convergence time and running in the feasible region should be taken into account. This thesis is

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