Institutional Persistence and Change in England's Common Law: 1700-1865

Institutions are widely regarded as important, even ultimate drivers of economic growth and performance. A recent mainstream of institutional economics has concentrated on the effect of persisting, often imprecisely measured institutions and on cataclysmic events as agents of noteworthy institutional change. As a consequence, institutional change without large-scale shocks has received little attention. In this dissertation I apply a complementary, quantitative-descriptive approach that relies on measures of actually enforced institutions to study institutional persistence and change over a long time period that is undisturbed by the typically studied cataclysmic events. By placing institutional change into the center of attention one can recognize different speeds of institutional innovation and the continuous coexistence of institutional persistence and change. Specifically, I combine text mining procedures, network analysis techniques and statistical approaches to study persistence and change in England’s common law over the Industrial Revolution (1700-1865). Based on the doctrine of precedent - a peculiarity of common law systems - I construct and analyze the apparently first citation network that reflects lawmaking in England. Most strikingly, I find large-scale change in the making of English common law around the turn of the 19th century - a period free from the typically studied cataclysmic events. Within a few decades a legal innovation process with low depreciation rates (1 to 2 percent) and strong past-persistence transitioned to a present-focused innovation process with significantly higher depreciation rates (4 to 6 percent) and weak past-persistence. Comparison with U.S. Supreme Court data reveals a similar U.S. transition towards the end of the 19th century. The English and U.S. transitions appear to have unfolded in a very specific manner: a new body of law arose during the transitions and developed in a self-referential manner while the existing body of law lost influence, but remained prominent. Additional findings suggest that Parliament doubled its influence on the making of case law within the first decades after the Glorious Revolution and that England’s legal rules manifested a high degree of long-term persistence. The latter allows for the possibility that the often-noted persistence of institutional outcomes derives from the actual persistence of institutions.

What's the Matter with Extended Techniques? Getting Beyond the Stigma in the Horn and Percussion Repertoire

For this project I prepared a series of recitals featuring music for horn and percussion, in which the horn part featured extended horn techniques. For this project, I considered anything beyond the open or muted horn an extended technique. These techniques range from the common hand-stopped note passages to complex new techniques involving half-valves, multi-phonics, and more, for new sounds desired by the composer. There are several pieces written for solo horn and percussion, with ensembles ranging from simple duets to solo horn with a full percussion ensemble. However, few include extended techniques for the horn. All of these select pieces are lesser known because of their difficulty, primarily because of the challenge of the extended techniques requested by the composer. In the introduction to this paper I give a brief background to the project, where the current repertoire stands, and my experiences with commissioning works for this genre. I then give a brief history and how-to on the more common extended techniques, which were found in almost every piece. I separated these techniques so that they could be referenced in the performance notes without being extremely repetitive in their description. Then follows the main performance notes of the repertoire chosen, which includes a brief description of the piece itself and a longer discussion for performers and composers who wish to learn more about these techniques. In this section my primary focus is the extended techniques used and I provide score samples with permission to further the education of the next musicians to tackle this genre. All works performed for this project were recorded and accompany this paper in the Digital Repository at the University of Maryland (DRUM). The following works were included in this project: o Howard J. Buss, Dreams from the Shadows (2015) o Howard J. Buss, Night Tide (1995) o George Crumb, An Idyll for the Misbegotten, trans. Robert Patterson (1986/1997) o Charles Fernandez, Metamorphosis: A Horn’s Life, “Prenatal and Toddler” (2016, unfinished) o Helen Gifford, Of Old Angkor (1995) o Douglas Hill, Thoughtful Wanderings… (1990) o Pierre-Yves Level, Duetto pour Cor en Fa et Percussion (1999) o David Macbride, Elegy for Horn and Timpani (2009) o Brian Prechtl, A Song of David (1995) o Verne Reynolds, HornVibes (1986) o Pablo Salazar, Cincontar (2016) o Mark Schultz, Dragons in the Sky (1989) o Faye-Ellen Silverman, Protected Sleep (2007) o Charles Taylor, Sonata for Horn and Marimba (1991) o Robert Wolk, Tessellations (2016) With this project, I intend to promote these pieces and the techniques used to encourage more works written in this style, and reveal to fellow horn players that the techniques should not prevent these great works from being performed. Due to the lack of repertoire, I successfully commissioned new pieces featuring extended techniques, which were featured in the final recital.

Thermal Tracking and Estimation for Microprocessors

Due to increasing integration density and operating frequency of today's high performance processors, the temperature of a typical chip can easily exceed 100 degrees Celsius. However, the runtime thermal state of a chip is very hard to predict and manage due to the random nature in computing workloads, as well as the process, voltage and ambient temperature variability (together called PVT variability). The uneven nature (both in time and space) of the heat dissipation of the chip could lead to severe reliability issues and error-prone chip behavior (e.g. timing errors). Many dynamic power/thermal management techniques have been proposed to address this issue such as dynamic voltage and frequency scaling (DVFS), clock gating and etc. However, most of such techniques require accurate knowledge of the runtime thermal state of the chip to make efficient and effective control decisions. In this work we address the problem of tracking and managing the temperature of microprocessors which include the following sub-problems: (1) how to design an efficient sensor-based thermal tracking system on a given design that could provide accurate real-time temperature feedback; (2) what statistical techniques could be used to estimate the full-chip thermal profile based on very limited (and possibly noise-corrupted) sensor observations; (3) how do we adapt to changes in the underlying system's behavior, since such changes could impact the accuracy of our thermal estimation. The thermal tracking methodology proposed in this work is enabled by on-chip sensors which are already implemented in many modern processors. We first investigate the underlying relationship between heat distribution and power consumption, then we introduce an accurate thermal model for the chip system. Based on this model, we characterize the temperature correlation that exists among different chip modules and explore statistical approaches (such as those based on Kalman filter) that could utilize such correlation to estimate the accurate chip-level thermal profiles in real time. Such estimation is performed based on limited sensor information because sensors are usually resource constrained and noise-corrupted. We also took a further step to extend the standard Kalman filter approach to account for (1) nonlinear effects such as leakage-temperature interdependency and (2) varying statistical characteristics in the underlying system model. The proposed thermal tracking infrastructure and estimation algorithms could consistently generate accurate thermal estimates even when the system is switching among workloads that have very distinct characteristics. Through experiments, our approaches have demonstrated promising results with much higher accuracy compared to existing approaches. Such results can be used to ensure thermal reliability and improve the effectiveness of dynamic thermal management techniques.