VictorJuiz/thesis huggingface dataset:
Sonorant Relationships in Two Varieties of Sardinian
Keywords: Phonology
Phonetics
Sonorants
Nasalization
Romance
Sardinian

Phonological interactions among sonorant sounds, and between sonorants and obstruents, are widespread in Romance languages. In this dissertation, I examine in detail such interactions in two dialects of Sardinian (Italo-Romance), Campidanese and Nuorese, showing that sonorant relationships differentiate the synchronic grammars of these dialects. The synchronic patterning of nasals and liquids, and how these two sonorant subclasses interact with obstruents, is significantly different between the two dialects. In particular, nasals trigger phonological nasalization of vowels and of the rhotic in Campidanese but not in Nuorese. The arguments for a phonological analysis of vowel nasalization in Campidanese are reviewed, expanded, and tested against an acoustic study. The historical traces of interaction between /n/ and /r/ in this dialect are linked to the synchronic rhotic nasalization process highlighted by an acoustic study of fieldwork data. In Nuorese, on the other hand, /n/ does not initiate phonological nasalization either of vowels or of the rhotic, and it is the target of total assimilation when followed by any segments but an oral stop. Nasals in the two dialects thus pattern in two very different ways phonologically: nasals are process triggers in Campidanese and process targets in Nuorese. The rhotic also shows distinct patterns in the two dialects, interacting with /n/ in Campidanese and with /s/ in Nuorese. The two dialects, with those asymmetries, thus display complementary sonorant patterns. I argue that a model able to capture such complementarity of patterns is the theory of the contrastive hierarchy (Dresher 2008). The Campidanese and Nuorese sonorant patterns, so radically different, lead one to question whether sonorants form a homogeneous phonological class cross-linguistically. Campidanese and Nuorese show that the make-up of such a class appears to be language-specific. Since the sonorant class is a universal class of sounds, its heterogeneity, in turn, questions the notion of phonological classhood at large. The data and the analysis presented in this dissertation thus feed the debate around phonological classhood. According to the theoretical model adopted in the present dissertation, the language-specific make-up of a class of sounds is all that can be labeled a ‘phonological’ class. Classes of sounds can be described in phonetic terms, but classes phonetically defined do not necessarily amount to phonological classes.
A Functional Role for Doscoidin Domain Receptor 1 (Ddr1) in the Regulation of Inflmmation and Fibrosis During Atherosclerotic Plaque Development
Keywords: atherosclerosis
collagen
macrophages
vascular smooth muscle cells
discoidin domain receptor
vascular biology

Collagens are abundant components of the extracellular matrix in the atherosclerotic plaque. In addition to contributing to lesion volume and mechanical stability, collagens can influence the behavior of macrophages and smooth muscle cells (SMCs) and have profound effects on both inflammation and fibrosis during lesion development. The aim of this thesis was to define a functional role for the discoidin domain receptor 1 (DDR1), a collagen receptor tyrosine kinase, in murine models of atherogenesis. In our first study, using Ddr1+/+;Ldlr-/- and Ddr1-/-;Ldlr-/- mice fed a high fat diet, we identified DDR1 as a novel positive regulator of atherogenesis. Targeted deletion of DDR1 attenuated atherosclerotic plaque development by limiting inflammation and accelerating matrix accumulation and resulted in the formation of macrophage poor, matrix rich lesions. In the second study, we used bone marrow transplantation to generate chimeric mice with a deficiency of DDR1 in bone marrow derived cells and reveal a central role for macrophage DDR1 in atherogenesis. Deficiency of DDR1 in bone marrow derived cells reduced lesion size by limiting macrophage accumulation in the developing plaque. Moreover using BrdU pulse labeling, we demonstrated reduced monocyte recruitment into the early fatty streak lesions of Ddr1-/-;Ldlr-/- mice. In our third study, we again utilized bone marrow transplantation to generate mice with deficiency of DDR1 in the host derived tissues such as the vessel wall and uncovered a distinct role for DDR1 expressed on resident vessel wall smooth muscle cells in the regulation of matrix accumulation and fibrous cap formation during atherogenesis. Deficiency of DDR1 in vessel wall cells resulted in robust accumulation of collagen and elastin and resulted in the formation of larger atherosclerotic plaques, with thick fibrous caps. Taken together, these studies support a critical role for DDR1 in the development of the atherosclerotic plaque. We demonstrate that DDR1 exerts distinct and opposing effects on lesion size by regulating both monocyte recruitment and matrix accumulation. These studies underscore the importance of collagen signaling during atherogenesis, and identify DDR1 as a key transducer; providing signals that regulate both inflammation and fibrosis during atherogenesis.
Application and Manipulation of Bipartite and Multipartite Entangled States
Keywords: Quantum Information
Entanglement

The phenomenon of quantum entanglement is a fundamental feature of quantum mechanics which, as a counterintuitive and inherently ”quantum” phenomenon (with no classical analogue) has been the subject of much study, especially in quantum information theory. One fruitful approach to the description of entanglement has been in its operational description - that is, in the consideration of what can be achieved using entangled states under certain restrictions, typically the regime of local operations and classical communications. We present results here related to the operational characterisation of entanglement in the resource model, in both bipartite and multipartite cases. First, we consider the conversion between pure bipartite entangled states in terms of an often-ignored resource - the classical communication cost. Using prior results for more specific conversions, we derive lower bounds on this cost (and the related quantity of the conversion inefficiency) for general bipartite pure states. We also consider pure-state conversions of multipartite entanglement, in particular the class of protocols in which multipartite states are converted to states shared between fewer parties. We have found a previously-unconsidered variety of such conversions, in which the target state of the conversion is a state shared between a random subset of the parties. We find that when such post-selection of parties in the protocol is permitted allows for a wider variety of achievable target states; certain states which can not be reliably obtained between predetermined parties (even some where the probability of doing so is arbitrarily small) can be obtained between random parties. We consider a variety of states in which this phenomenon occurs, as well as bounds on such protocols can achieve. Finally we consider a practical use of entanglement as a resource, in an experimental implementation of a multipartite QKD protocol. This is based on the tripartite GHZ entangled state, but can be implemented using only bipartite entanglement. We adapt existing QKD results for both the bipartite and multipartite case to derive a secure key rate for this implementation, taking into account the ways in which it differs from the idealised theoretical case.
Extensible Networked-storage Virtualization with Metadata Management at the Block Level
Keywords: Operating Systems
Computer Systems
Distributed Systems
File Systems
Cluster Storage
Block-level Versioning
Storage Virtualization
Commodity Clusters
Block-level Storage
Disk Storage
Shared Virtual Disk
Extensible Virtual Storage
Consistency
Availability

Increased scaling costs and lack of desired features is leading to the evolution of high-performance storage systems from centralized architectures and specialized hardware to decentralized, commodity storage clusters. Existing systems try to address storage cost and management issues at the filesystem level. Besides dictating the use of a specific filesystem, however, this approach leads to increased complexity and load imbalance towards the file-server side, which in turn increase costs to scale. In this thesis, we examine these problems at the block-level. This approach has several advantages, such as transparency, cost-efficiency, better resource utilization, simplicity and easier management. First of all, we explore the mechanisms, the merits, and the overheads associated with advanced metadata-intensive functionality at the block level, by providing versioning at the block level. We find that block-level versioning has low overhead and offers transparency and simplicity advantages over filesystem-based approaches. Secondly, we study the problem of providing extensibility required by diverse and changing application needs that may use a single storage system. We provide support for (i)adding desired functions as block-level extensions, and (ii)flexibly combining them to create modular I/O hierarchies. In this direction, we design, implement and evaluate an extensible block-level storage virtualization framework, Violin, with support for metadata-intensive functions. Extending Violin we build Orchestra, an extensible framework for cluster storage virtualization and scalable storage sharing at the block-level. We show that Orchestra's enhanced block interface can substantially simplify the design of higher-level storage services, such as cluster filesystems, while being scalable. Finally, we consider the problem of consistency and availability in decentralized commodity clusters. We propose RIBD, a novel storage system that provides support for handling both data and metadata consistency issues at the block layer. RIBD uses the notion of consistency intervals (CIs) to provide fine-grain consistency semantics on sequences of block level operations by means of a lightweight transactional mechanism. RIBD relies on Orchestra's virtualization mechanisms and uses a roll-back recovery mechanism based on low-overhead block-level versioning. We evaluate RIBD on a cluster of 24 nodes, and find that it performs comparably to two popular cluster filesystems, PVFS and GFS, while offering stronger consistency guarantees.
Ptolemy in Philosophical Context: A Study of the Relationships Between Physics, Mathematics, and Theology
Keywords: History of Science
Ptolemy
Ancient Science
Ancient Philosophy

This study situates Ptolemy’s philosophy within the second-century milieu of Middle Platonism and the nascent Aristotelian commentary tradition. It focuses on Ptolemy’s adaptation and application of Aristotle’s tripartite division of theoretical philosophy into the physical, mathematical, and theological. In Almagest 1.1, Ptolemy defines these three sciences, describes their relations and objects of study, and addresses their epistemic success. According to Ptolemy, physics and theology are conjectural, and mathematics alone yields knowledge. This claim is unprecedented in the history of ancient Greek philosophy. Ptolemy substantiates this claim by constructing and employing a scientific method consistent with it. In Almagest 1.1, after defining the theoretical sciences, Ptolemy adds that, while theology and physics are conjectural, mathematics can make a good guess at the nature of theological objects and contribute significantly to the study of physics. He puts this claim into practice in the remainder of his corpus by applying mathematics to theology and physics in order to produce results in these fields. After the introductory chapter, I present Ptolemy’s philosophy and practice of the three theoretical sciences. In Chapter 2, I examine how and why Ptolemy defines the sciences in Almagest 1.1. In Chapter 3, I further analyze how Ptolemy defines mathematical objects, how he describes the relationships between the tools and branches of mathematics, and whether he demonstrates in the Harmonics and Almagest that he believed mathematics yields sure and incontrovertible knowledge, as he claims in Almagest 1.1. In Chapter 4, I present Ptolemy’s natural philosophy. While in Chapter 2 I discuss his element theory, in Chapter 4 I focus on his physics of composite bodies: astrology, psychology, and cosmology as conveyed in the Tetrabiblos, On the Kritêrion, Harmonics, and Planetary Hypotheses. I do not devote a chapter to theology, as Ptolemy refers to this science only once in his corpus. Therefore, I limit my analysis of his definition and practice of theology to Chapter 2. In the concluding chapter, I discuss Ptolemy’s ethical motivation for studying mathematics. What emerges from this dissertation is a portrait of Ptolemy’s philosophy of science and the scientific method he employs consistently in his texts.
Identification and Functional Characterization of a Novel Activation Cascade of the KLK Family in Seminal Plasma
Keywords: Proteolytic Cascade
kallikrein-related peptidases

Proteolytic processes are often mediated by highly orchestrated cascades, through which protease enzymes function coordinately to ensure a stepwise activation. This thesis presents experimental data which supports and complements the previously postulated mechanism of KLK (kallikrein-related protease) activation through proteolytic cascades. Further examination of the seminal KLK cascade has revealed several of its key (patho) physiological roles in human reproductive system. Multiple members of the seminal KLK cascade, in particular KLK14, were shown to play a pivotal role in regulating semen liquefaction. The cascade was further shown to be tightly regulated through a series of highly orchestrated feedback loops, to prevent deleterious effects due to aberrant protease activation. Accordingly, a strong association was observed between the expression level of several seminal KLKs, delayed liquefaction, and other markers of semen quality, including semen hyperviscosity. Furthermore, a strong association was found between delayed liquefaction and abnormal sperm motility. Therefore, dysregulated KLK expressions and/or activities were proposed as an underlying cause of male subfertility. Finally, this thesis has provided initial insights into a novel potential function of multiple members of the seminal KLK cascade in activation of the key immune-deviating agent, TGFβ1, in seminal plasma. TGFβ1 activation is postulated to be mediated directly through complete fragmentation or indirectly through partial cleavage and conformational changes of the LAP propeptide motif of the latent TGFβ1. KLK- mediate proteolytic cleavage of the TGFβ1 binding protein, LTBP1, is also suggested as a potential physiological mechanism for release of the membrane-bound latent TGFβ1. Overall, the data provided here may suggest a common regulatory mechanism, involved co-temporally in the two key processes of semen liquefaction and immune-suppression. This might be critical in protecting motile sperms following their release from semen coagulum. Understanding KLK-mediated proteolytic events in seminal plasma can shed light not only on the physiological role of this family of enzymes, but also on some of causes of male subfertility. Accordingly, therapeutic induction of this cascade may be utilized to supplement the current clinical treatment of male subfertility. Conversely, targeted inhibition of key components of the cascade may have potential pharmaceutical utility as a novel topical contraceptive strategy.
Influencing Factors on Methadone Pharmacology: Impact on Satisfaction with Methadone Maintenance Treatment
Keywords: Methadone Maintenance Treatment
Depression
Methadone-Nicotine Interaction
Opioid Withdrawal

The methadone maintenance treatment population suffers from high rates of comorbid psychiatric and substance use disorders. Despite a more than 40-year treatment history, not all patients are satisfied with methadone treatment and more than half of the patients complain of significant inter-dose withdrawal at least some of the time. The objectives of this research were to investigate the pharmacological response to methadone under the influence of comorbid major depressive disorder and smoking; and to identify factors other than physical withdrawal symptoms that can differentiate patients based on their complaints of dissatisfaction with treatment. In Study 1, seven depressed methadone maintenance patients experienced more opioid withdrawal symptomatology over a 24-hour methadone-dosing interval than 10 nondepressed methadone patients. Depression severity was significantly correlated with trough opioid withdrawal severity. This suggests that depression or depressive symptoms are related to reported opioid withdrawal. In Study 2, many factors other than physical opioid withdrawal symptoms were able to differentiate patients who were satisfied with treatment (holders, n=25), partially satisfied with treatment (partial holders, n=35), and not satisfied with treatment(nonholders, n=30). Results suggested that these patient satisfaction groups cluster differently depending on physical opioid withdrawal, mood, psychological distress, and personality. Nonholders experienced more physical withdrawal symptoms, craving for opioids, and negative drug effects. Holders had less psychological distress and experienced less negative mood states than the other groups. Partial holders had less agreeable personalities compared to patients in the other groups. In Study 3, opioid and nicotine withdrawal symptoms and effects were measured in 40 methadone-maintained patients who were current smokers during trough and peak methadone effects, both pre and post-nicotine administration. Cigarette smoking enhanced opioid withdrawal suppression during the peak methadone condition, methadone attenuated nicotine withdrawal, and methadone and nicotine shared many of the same main effects, suggesting that smoking and methadone effects may be inseparable dimensions. In summary, the results of these studies suggest that in addition to physical symptoms, mood related factors are important to opioid withdrawal perception and that the mood factors and drug interactions can impact on a patient’s perception of satisfaction with methadone treatment.
Affinity Propagation: Clustering Data by Passing Messages
Keywords: Computer Science
Machine Learning
Exemplar-based clustering
Factor Graph
Belief Propagation

Clustering data by identifying a subset of representative examples is important for detecting patterns in data and in processing sensory signals. Such "exemplars" can be found by randomly choosing an initial subset of data points as exemplars and then iteratively refining it, but this works well only if that initial choice is close to a good solution. This thesis describes a method called "affinity propagation" that simultaneously considers all data points as potential exemplars, exchanging real-valued messages between data points until a high-quality set of exemplars and corresponding clusters gradually emerges. Affinity propagation takes as input a set of pairwise similarities between data points and finds clusters on the basis of maximizing the total similarity between data points and their exemplars. Similarity can be simply defined as negative squared Euclidean distance for compatibility with other algorithms, or it can incorporate richer domain-specific models (e.g., translation-invariant distances for comparing images). Affinity propagation’s computational and memory requirements scale linearly with the number of similarities input; for non-sparse problems where all possible similarities are computed, these requirements scale quadratically with the number of data points. Affinity propagation is demonstrated on several applications from areas such as computer vision and bioinformatics, and it typically finds better clustering solutions than other methods in less time.
Modelling and Performance Evaluation of the Virtual Air Gap Variable Reactor
Keywords: Virtual Air Gap
Variable Reactor
VAG-VR

This thesis describes a novel device, the Virtual Air Gap Variable Reactor (VAG-VR), which is capable of producing a continuously variable reactance by locally saturating a small section of the reactor core via an embedded dc control winding. Variable Reactors have many applications in the power industry such as control of line power flow, voltage regulation, reactive line compensation and limiting inrush currents. A variable reactor is most commonly implemented as a thyristor controlled reactor (TCR) by switching in and out a constant reactance to achieve an averaged variable reactance. By using a virtual air gap, a continuously variable reactance is possible. The VAG-VR offers a better dynamic response, without introducing the harmonics created by the thyristor switching of a TCR. The VAG-VR gives low triplen harmonics and therefore allows control of reactive power in single phase or unbalanced three phase systems as would be required in the distribution system. An experimental prototype VAG-VR was developed to investigate three main performance measures: steady state performance, dynamic response and harmonic performance. Over the operating range of the VAG-VR inductance was varied from 100% to 9% of its original value. The dynamic response of the VAG-VR is approximately one tenth of a cycle. This compares favorably to a TCR which responds in approximately half a cycle. Harmonics are also shown to be significantly reduced in the VAG-VR compared to the TCR. A dynamic model of the VAG-VR, suitable for incorporation into power system simulations, was developed and validated. Parameters were determined both experimentally and through finite element method (FEM) simulations. Both experimental and simulation results indicate that the VAG-VR offers a technically viable alternative to the TCR.
Splashing and Breakup of Droplets Impacting on a Solid Surface
Keywords: Fluid Dynamics
Heat Transfer
Droplet Impact
Droplet Splashing
Thermal Spray Coating
Water Jet Impact

Two new mechanisms of droplet splashing and breakup during impact have been identified and analyzed. One is the internal rupture of spreading droplet film through formation of holes, and the other is the splashing of droplet due to its freezing during spreading. The mechanism of film rupture was investigated by two different methods. In the first method, circular water films were produced by directing a 1 mm diameter water jet onto a flat, horizontal plate for 10 ms. In the second method, films were produced by making 0.6 mm water droplets impact a solid surface mounted on the rim of a rotating flywheel. Substrate wettability was varied over a wide range, including superhydrophobic. In both cases, the tendency to film rupture first increased and then decreased with contact angle. A thermodynamic stability analysis predicted this behavior by showing that films would be stable at very small or very large contact angle, but unstable in between. Film rupture was also found to be promoted by increasing surface roughness or decreasing film thickness. To study the effect of solidification, the impact of molten tin droplets (0.6 mm diameter) on solid surfaces was observed for a range of impact velocities (10 to 30 m/s), substrate temperatures (25 to 200°C) and substrate materials (stainless steel, aluminum and glass) using the rotating flywheel apparatus. Droplets splashed extensively on a cold surface but on a hot surface there was no splashing. Splashing could be completely suppressed by either increasing the substrate temperature or reducing its thermal diffusivity. An analytical model was developed to predict this splashing behavior. The above two theories of freezing-induced splashing and film rupture were combined to predict the morphology of splats typically observed in a thermal spray process. A dimensionless solidification parameter, which takes into account factors such as the droplet diameter and velocity, substrate temperature, splat and substrate thermophysical properties, and thermal contact resistance between the two, was developed. Predictions from the model were compared with a wide range of experimental data and found to agree well.