cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/usctheses-c3-203757
title: Advanced nonlinear optical signal processing techniques for high speed, reconfigurable optical fiber networks

description: Optical fiber telecommunications is facing the bottleneck of electronics due to the increasing demand for higher bandwidth by the consumers. The increase in the single channel data speeds are accompanied by the multiple access methods such as wavelength division multiplexing, electrical time division multiplexing, and optical time division multiplexing. Moreover, recently there is extensive research on spatial division multiplexing schemes using multi-mode and multi-core fibers. All these increase the aggregate data rate that needs to be process in the routers and distribution centers. ❧ The limited speed of state-of-the-art electronics and inefficient optical-electrical-optical conversions has encouraged the researchers in the photonics society to look for alternatives to electronics and electronic signal processing. Optics offer very high bandwidths (&gt;Terahertz) for data transmission and ultra-fast responses (a few tens of femto-seconds) for signal processing applications. The inherent transparency to the data rates and data modulation formats of photonic nonlinear interactions enables various types of signal processing applications. Many of these tend to use a single nonlinear medium and a unique process that enables the desired signal processing function. However, these tend to be simple functions and have been far from realistic signal processing functions that have been used in the electronics. ❧ In this Ph.D. dissertation, a systematical development to the nonlinear optical signal processing methods for enabling complex signal processing functionalities for advanced modulation format signals, including coherent detection, is proposed and experimentally demonstrated. It is shows that optical signal processing can be used for achieving complex system level applications such as buffering, and time-slot interchange of packets, correlation, equalization, matched filtering, and even for applications of analog radio frequency (RF) signals with excellent performance metrics. For these and for many other applications, one needs to generate signal copies, i.e. wavelength multicast the input data. These copies then need to be correlated in some fashion. This can be achieved by using optical delays using chromatic dispersion. The delayed signal copies are then interacted to each other in a multiplexing stage. Each of these consists of sub-systems that need improvements to form a complete, utilizable functional block for optical communication signals. In the work presented in this Ph.D. dissertation, novel solutions to these problems are proposed and versatile methods that can enable many other ultra-fast signal processing functionalities are developed.
DOI: 10.25549/usctheses-c3-207800
title: Middle school instrumental music students' perceptions of their practice habits and influences

description: The objective of this study was to investigate middle school instrumental music students’ perceptions of their practice habits and influences. The study population was a sample of convenience, recruited from middle school band and orchestra programs within one school district in close proximity to the researcher. The instrument for this qualitative study was a ten-minute survey with open-ended questions completed during one of the students' regularly scheduled music classes. The anonymous responses were analyzed to determine disparities and commonalities in the student perceptions of their practice behaviors and what influences these behaviors. The results are reported in narrative style. This investigation provides valuable information on the nature of students' practicing habits as well as the most critical influences impacting their habits. It is hoped that this report might offer teachers insight that could inform how we might work to improve student practice behaviors.
DOI: 10.23725/0g4t-8f45
title: NWD881320.recab.cram

description: TOPMed: NWD881320 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAM file
DOI: 10.23725/94vg-xx52
title: NWD897509.recab.cram.crai

description: TOPMed: NWD897509 <br>HapMap_1000G: NA19238 <br>Seq Ctr: UW <br>File:  CRAI index file
DOI: 10.23725/czmf-b795
title: NWD881320.recab.cram.crai

description: TOPMed: NWD881320 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAI index file
DOI: 10.23725/dk4e-nm71
title: NWD897509.recab.cram

description: TOPMed: NWD897509 <br>HapMap_1000G: NA19238 <br>Seq Ctr: UW <br>File:  CRAM file
DOI: 10.23725/g4rx-2j63
title: NWD886731.recab.cram

description: TOPMed: NWD886731 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAM file
DOI: 10.23725/pzm5-sf19
title: NWD875673.recab.cram.crai

description: TOPMed: NWD875673 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAI index file
DOI: 10.23725/zbnv-zr06
title: NWD886731.recab.cram.crai

description: TOPMed: NWD886731 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAI index file
DOI: 10.23725/zka4-7617
title: NWD875673.recab.cram

description: TOPMed: NWD875673 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAM file
DOI: 10.25549/usctheses-c3-141466
title: Page 199
DOI: 10.25549/usctheses-c3-160568
title: Page 50
DOI: 10.25549/usctheses-c3-176793
title: Page 11
DOI: 10.25549/usctheses-c3-176799
title: Page 17
DOI: 10.23725/3hh1-tp41
title: NWD905240.recab.cram

description: TOPMed: NWD905240 <br>HapMap_1000G: NA12878 <br>Seq Ctr: UW <br>File:  CRAM file
DOI: 10.23725/9nkx-tj51
title: NWD918554.recab.cram

description: TOPMed: NWD918554 <br>HapMap_1000G: NA19238 <br>Seq Ctr: UW <br>File:  CRAM file
DOI: 10.23725/g8sw-5n07
title: NWD909656.recab.cram.crai

description: TOPMed: NWD909656 <br>HapMap_1000G: NA19238 <br>Seq Ctr: NYGC <br>File:  CRAI index file
DOI: 10.23725/kkbg-sa98
title: NWD901849.recab.cram

description: TOPMed: NWD901849 <br>HapMap_1000G: NA12878 <br>Seq Ctr: NYGC <br>File:  CRAM file
DOI: 10.23725/n01e-5g04
title: NWD909656.recab.cram

description: TOPMed: NWD909656 <br>HapMap_1000G: NA19238 <br>Seq Ctr: NYGC <br>File:  CRAM file
DOI: 10.23725/njhe-ny33
title: NWD901849.recab.cram.crai

description: TOPMed: NWD901849 <br>HapMap_1000G: NA12878 <br>Seq Ctr: NYGC <br>File:  CRAI index file
DOI: 10.23725/w3eq-6a31
title: NWD905240.recab.cram.crai

description: TOPMed: NWD905240 <br>HapMap_1000G: NA12878 <br>Seq Ctr: UW <br>File:  CRAI index file
DOI: 10.25549/usctheses-c3-160580
title: Page 62
DOI: 10.25549/usctheses-c3-170653
title: Page 143
DOI: 10.25549/usctheses-c3-170658
title: Page 148
DOI: 10.25549/usctheses-c3-170659
title: Page 149
DOI: 10.25549/usctheses-c3-176807
title: Page 25
DOI: 10.23725/22k7-6x79
title: NWD952432.recab.cram

description: TOPMed: NWD952432 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Broad <br>File:  CRAM file
DOI: 10.23725/7qbk-dn05
title: NWD918554.recab.cram.crai

description: TOPMed: NWD918554 <br>HapMap_1000G: NA19238 <br>Seq Ctr: UW <br>File:  CRAI index file
DOI: 10.23725/j33m-v593
title: NWD910953.recab.cram.crai

description: TOPMed: NWD910953 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAI index file
DOI: 10.23725/jm4v-5058
title: NWD929194.recab.cram.crai

description: TOPMed: NWD929194 <br>HapMap_1000G: NA12878 <br>Seq Ctr: NYGC <br>File:  CRAI index file
DOI: 10.23725/ke4s-qd87
title: NWD952432.recab.cram.crai

description: TOPMed: NWD952432 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Broad <br>File:  CRAI index file
DOI: 10.23725/ve37-0588
title: NWD929194.recab.cram

description: TOPMed: NWD929194 <br>HapMap_1000G: NA12878 <br>Seq Ctr: NYGC <br>File:  CRAM file
DOI: 10.23725/z2q1-p574
title: NWD910953.recab.cram

description: TOPMed: NWD910953 <br>HapMap_1000G: NA12878 <br>Seq Ctr: Baylor <br>File:  CRAM file
DOI: 10.25549/usctheses-c3-160529
title: Page 11
DOI: 10.25549/usctheses-c3-175912
title: Intelligent control and automatic detection/prediction in sensor based systems

description: Sensors are increasingly used for collecting data from the field for monitoring and detecting anomalous behavior. In this thesis a network of sensors are used for data collection, analysis, and detecting abnormal situations in two domains of patient health monitoring and failures in rod pump systems in an oilfield. In these application domains, there are two challenging problems: intelligent control for wireless sensor operations to make decisions on sampling to optimize life time of a sensor network and accurate anomaly detection and prediction using the collected data. ❧ For the health monitoring application domain, a new policy-based framework of Markov Decision Processes (MDP) is formulated for energy efficient optimization problem. The optimal global policy obtained from MDP formulation can be used by distributed sensors to achieve adaptive sampling for optimal and intelligent control of both energy consumption (system lifetime) and detection accuracy. The size of MDP policy may be large with increasing number of sensors having limited memory and discretization granularity of the problem. A decision tree-based learning algorithm is applied for a compact policy representation. Computational complexity is also exponential to the number of sensors and proportional to the discretization granularity of the problem, which causes the computational scalability problem and limits the application of MDP framework on large state space cases. In order to overcome computational scalability problem, three computationally efficient learning algorithms are developed based on approaches to learn local policies for each sensor: RLAA Learning Algorithm, AMRL Learning Algorithm and COL Learning Algorithm. We successfully applied our approaches to healthcare monitoring system, and compared the performance with other methods. The results show that all three learning algorithms are scalable to sensor networks with large state space. ❧ For the oil field domain, learning-based automatic anomaly detection and prediction algorithms are developed for artificial lift rod pump systems which fail due to various reasons and fixing them can be costly and difficult because most parts are underground. Currently, failures in such systems are detected by field experts, which take time and incur labor costs. Our approach is supervised learning-based anomaly detection techniques from field data and we developed a novel combination of two supervised learning algorithms, AdaBNet and AdaDT for this problem. These techniques are successfully applied to detecting and predicting failures in rod pump systems with real data from oilfields. Our automated anomaly detection and prediction approach can allow automated surveillance of large number of wells in an oil field to reduce cost while monitoring wells remotely.
DOI: 10.25549/usctheses-c3-200831
title: Data assimilation for fractured shale gas reservoirs using ensemble Kalman filter

description: Production of shale gas reservoirs depends on natural and hydraulic fractures, which represent a significant challenge in numerical simulation. Unknown fracture characteristics such as location, orientation, aperture, and conductivity make reservoir modeling difficult. Even by knowing these properties, numerical models must be refined to capture the complex flow behavior around the fractures. Discrete fracture networks require model dependent unstructured gridding. Furthermore, for history matching and data assimilation, fracture characteristics must be updated, which causes changing the entire gridding of the model and is complicated and time consuming. Systematic history matching of shale gas reservoirs has not yet been addressed in the literature. In this study, we use shale gas wells' measurements to estimate the fractured reservoirs properties using Ensemble Kalman Filter (EnKF), a minimum mean square error data assimilation tool. We propose using dual porosity dual permeability modeling (DPDP), an averaging technique that does not require the knowledge of the fracture network characteristics. In the combined EnKF/DPDP methodology, numerical models are updated without changing the gridding as more measurements become available. We introduce and develop a new DPDP compartmentalized modeling, which represents the complex fracture network around a well. The updated models reproduce the historical performance of the reservoir and predict its future behavior. ❧ We test our proposed methodology on synthetic and real field cases from Appalachian Marcellus shale. It is shown that the algorithm does not require information about the locations and orientations of the fractures. We also show that if the knowledge about the fracture network statistics is available, it can be integrated into the algorithm yielding more accurate estimates of the reservoirs' field properties such as fracture porosity and permeability. Gridding is simple and DPDP models are simulated much faster than either the refined or DFN models. ❧ It is illustrated that the proposed methodologies provide a reliable and robust data assimilation and modeling tool for history matching of fractured reservoirs. They do not require changes in gridding and take less CPU time. Although the proposed methods are applied to shale gas reservoirs in this dissertation, their application can be extended to other types of fractured reservoirs.
DOI: 10.23725/4nyz-b427
title: NWD991001.recab.cram

description: TOPMed: NWD991001 <br>HapMap_1000G: NA12878 <br>Seq Ctr: NYGC <br>File:  CRAM file
DOI: 10.23725/9g7s-dh34
title: NWD953198.recab.cram.crai

description: TOPMed: NWD953198 <br>HapMap_1000G: NA19238 <br>Seq Ctr: NYGC <br>File:  CRAI index file
DOI: 10.23725/g1fx-s290
title: NWD953198.recab.cram

description: TOPMed: NWD953198 <br>HapMap_1000G: NA19238 <br>Seq Ctr: NYGC <br>File:  CRAM file
DOI: 10.23725/mtxg-xb78
title: NWD991001.recab.cram.crai

description: TOPMed: NWD991001 <br>HapMap_1000G: NA12878 <br>Seq Ctr: NYGC <br>File:  CRAI index file
DOI: 10.23725/w6z4-4c85
title: NWD967078.recab.cram.crai

description: TOPMed: NWD967078 <br>HapMap_1000G: NA19238 <br>Seq Ctr: Baylor <br>File:  CRAI index file
DOI: 10.23725/wpvg-xx36
title: NWD967078.recab.cram

description: TOPMed: NWD967078 <br>HapMap_1000G: NA19238 <br>Seq Ctr: Baylor <br>File:  CRAM file
DOI: 10.23725/xwt4-sx74
title: NWD968809.recab.cram

description: TOPMed: NWD968809 <br>HapMap_1000G: HG01110 <br>Seq Ctr: WashU <br>File:  CRAM file
DOI: 10.23725/ynz8-vm51
title: NWD968809.recab.cram.crai

description: TOPMed: NWD968809 <br>HapMap_1000G: HG01110 <br>Seq Ctr: WashU <br>File:  CRAI index file
DOI: 10.25549/usctheses-c3-160595
title: Page 77
DOI: 10.25549/usctheses-c3-176811
title: Page 29
DOI: 10.25549/usctheses-c3-177120
title: Page 125
DOI: 10.25549/usctheses-c3-196452
title: Governing regional collaboratives: institutional design, management and leadership

description: Over the past few decades, the formation of regional collaboratives (RCs) to resolve regional issues has become a nationwide phenomenon.  These collaborative organizations are composed of entities from two or more sectors and typically include civic leaders and public, private, and nonprofit groups.  As one of many emerging hybrid governance structures, this collaborative governance system is characterized by multiple sector participation (Tang and Mazmanian, 2008). ❧ This dissertation seeks to identify the factors contributing to the sustainability and accomplishments, management and leadership of successful regional collaborative governance structures, as these organizations take on critical roles in shaping regional development.  The research involves adapting Elinor Ostrom’s (2005) original design principles of common-pool resource settings. ❧ By conducting a survey and case study analyses on 64 organizations across the nation (39 regional collaboratives and 25 traditional alliances), this dissertation identifies design principles and management and leadership principles that relate to the outcome measures of sustainability and accomplishments. ❧ The findings of this study reveal that the principles contributing to sustainable and successful regional collaboratives are: shared values, consistent mission and values, legitimacy and political support, membership behavior and homophily, and organizational capacity.  Additionally, external economic climate, organizational financial stability, and executive leadership are identified as key factors for success in regional collaboratives. ❧ Compared with Ostrom’s design principles of common-pool resource regimes, the number of elements that contribute to successful collaborative governance, especially in the case of regional collaboratives, is fewer.  It is consistent with the fact that many regional collaboratives are often disbanded or become inactive as they are difficult to sustain themselves.
DOI: 10.25549/usctheses-c3-160592
title: Page 74
DOI: 10.25549/usctheses-c3-170638
title: Page 128
DOI: 10.5281/zenodo.794991
title: Plos One Submission Dataset

description: This data set corresponds with the article titled, "Controversy Matters: Impacts of Topic and Solution Controversy on the Perceived Credibility of a Scientist who Advocates."
DOI: 10.25549/usctheses-c3-160541
title: Page 23
DOI: 10.25549/usctheses-c3-177117
title: Page 122
DOI: 10.25549/usctheses-c3-160540
title: Page 22
DOI: 10.25549/usctheses-c3-160578
title: Page 60
DOI: 10.25549/usctheses-c3-160585
title: Page 67
DOI: 10.25549/usctheses-c3-176802
title: Page 20
DOI: 10.25549/usctheses-c3-176803
title: Page 21
DOI: 10.25549/usctheses-c3-196884
title: Constraining stories: four narratives that limit options for U.S.-Cuba relations

description: This dissertation examines the relationship between the United States and Cuba from the perspective of political and cultural narratives about Cuba existing in the United States from 1823-2010.  These narratives serve to explain and justify U.S. policy toward Cuba.  Four dominant narratives have been identified: Cuba as possession of the United States, Cuba as a Cold War adversary, Cuba as a place from which to escape, and Cuba as led by an anachronistic tyrant resisting the tide of democracy.  These narratives have some overlaps and some contradictions, but all have strong ties to the narrative in the United States about the Cold War.  Even though the Cold War is over, the explanatory power of the Cold War narrative continues to exercise authority in U.S.-Cuba relations.  In addition to explaining U.S.-Cuba relations, narratives tied to the Cold War limit options for policy change.  This dissertation analyzes political and popular discourse to uncover the sources of these narratives and how they remain so prominent in the United States.  Understanding how these narratives develop, function, and survive provides insight into how leaders might create narratives that are more reflective of current political reality between the United States and Cuba.
DOI: 10.25549/usctheses-c3-170654
title: Page 144
DOI: 10.25549/usctheses-c3-190680
title: The political representation of Kurdish, Kemalist, and conservative Muslim women in Turkey (1990-2010)

description: The underrepresentation of women in political decision making and their weak substantive representation continue in Turkey as of 2011.  The dissertation examines the timing, direction, and mechanisms of slight changes in the representation of three women’s groups in Turkey, namely Kurdish, conservative Muslim, and Kemalist women, between 1990 and 2010.   It seeks to answer two primary questions:  why was there a change in Kurdish and conservative Muslim women’s political representation in the parliamentary offices and parties’ decision-making organs between 1990 and 2010, while there was almost no change in the representation of Kemalist women; and why did the change occur at different rates for Kurdish and conservative Muslim women. ❧ This dissertation draws on political intersectionality, women and politics literature, and studies on women’s political activism in Turkey to suggest that identity-based explanations, organization-based explanations, and elite-based explanations are helpful in understanding the changes in the representation of women from multiply subordinated groups, as well as the observed variations in these changes. More specifically, three factors extracted from these sets of explanations: mobilization via intersecting identities; the efforts of women’s organizations; and the support of male leaders must, this study suggests, be present for a significant change in representation to occur. ❧ Three main conclusions emerge from this study. First, the ethnic and religious identities of Kurdish and conservative Muslim women are important components in both their political activism and representation. Second, intra-party organizations provide not only the space for women to become active in political parties and opportunities to demand further representation and present these demands to the party leadership. Third, political leaders tend to take women’s demands into consideration if they perceive a need to promote women, regardless of these leaders’ and parties’ ideologies or attitudes about women’s political role. ❧ This dissertation recommends that the scope of literature on women’s representation should be broadened by systematically examining relationships between different actors and the institutional context. It also suggests that given the dearth of studies based outside the U.S. and Western Europe, data collection at the subnational and party levels in other contexts is important to enrich theories related to the gender and politics. The contribution of the dissertation is broadly applicable to fields of women’s political representation, political change, party politics, political intersectionality, and Turkish politics.
DOI: 10.25549/usctheses-c3-160533
title: Page 15
DOI: 10.25549/usctheses-c3-160598
title: Page 80
DOI: 10.25549/usctheses-c3-177096
title: Page 101
DOI: 10.25549/usctheses-c3-249570
title: Nonlinear expectations for continuous time model with jumps and applications

description: In this thesis, we study a special type of nonlinear expectation, the so-called G-expectation. We develop a representation theorem for the G-expectation defined on the cadlag function space, under which the canonical process is a G-Levy process. We focus on two applications of such nonlinear expectation. The first one is the financial market uncertainty, which is modeled by an uncountable family of non-equivalent and non-dominated probability measures. The results obtained is similar to the classical first fundamental theorem of finance, that is, the relation between the existence of risk neutral capacity and conditions of no arbitrage type. The other application is the ruin problem under uncertainty. Our reserve model encompasses uncertainty from two sources: one is the volatility uncertainty from the financial market and the other is the claim frequency uncertainty. We obtain an upper bound for the ruin likelihood of a Cramer-Lundberg model under uncertainty and by utilizing the techniques of large deviations under G-expectation framework, we investigate the asymptotic behavior of ruin likelihood of a general model with investment, when the initial endowment goes to infinity.
DOI: 10.25549/usctheses-c3-141462
title: Page 195
DOI: 10.25549/usctheses-c3-160549
title: Page 31
DOI: 10.25549/usctheses-c3-160576
title: Page 58
DOI: 10.25549/usctheses-c3-170666
title: Page 156
DOI: 10.25549/usctheses-c3-170670
title: Page 160
DOI: 10.25549/usctheses-c3-160583
title: Page 65
DOI: 10.25549/usctheses-c3-176814
title: Page 32