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Noncommutative Tensor Triangular Geometry And Its Applications To Representation Theory, Kent Barton Vashaw Jun 2021

Noncommutative Tensor Triangular Geometry And Its Applications To Representation Theory, Kent Barton Vashaw

LSU Doctoral Dissertations

One of the cornerstones of the representation theory of Hopf algebras and finite tensor categories is the theory of support varieties. Balmer introduced tensor triangular geometry for symmetric monoidal triangulated categories, which united various support variety theories coming from disparate areas such as homotopy theory, algebraic geometry, and representation theory. In this thesis a noncommutative version will be introduced and developed. We show that this noncommutative analogue of Balmer's theory can be determined in many concrete situations via the theory of abstract support data, and can be used to classify thick tensor ideals. We prove an analogue of prime ideal …


Biologically-Based Mathematical Modeling Of Tumor Vasculature And Angiogenesis Via Time-Resolved Imaging Data, David A. Hormuth, Caleb M. Phillips, Chengyue Wu, Ernesto A.B.F. Lima, Guillermo Lorenzo, Prashant K. Jha, Angela M. Jarrett, J. Tinsley Oden, Thomas E. Yankeelov Jun 2021

Biologically-Based Mathematical Modeling Of Tumor Vasculature And Angiogenesis Via Time-Resolved Imaging Data, David A. Hormuth, Caleb M. Phillips, Chengyue Wu, Ernesto A.B.F. Lima, Guillermo Lorenzo, Prashant K. Jha, Angela M. Jarrett, J. Tinsley Oden, Thomas E. Yankeelov

Faculty Publications

Tumor-associated vasculature is responsible for the delivery of nutrients, removal of waste, and allowing growth beyond 2–3 mm3. Additionally, the vascular network, which is changing in both space and time, fundamentally influences tumor response to both systemic and radiation therapy. Thus, a robust understanding of vascular dynamics is necessary to accurately predict tumor growth, as well as establish optimal treatment protocols to achieve optimal tumor control. Such a goal requires the intimate integration of both theory and experiment. Quantitative and time-resolved imaging methods have emerged as technologies able to visualize and characterize tumor vascular properties before and during therapy at …


First T2k Measurement Of Transverse Kinematic Imbalance In The Muon-Neutrino Charged-Current Single- Π+ Production Channel Containing At Least One Proton, K. Abe, N. Akhlaq, R. Akutsu, A. Ali, C. Alt, C. Andreopoulos, M. Antonova, S. Aoki, T. Arihara, Y. Asada, Y. Ashida, E. T. Atkin, Y. Awataguchi, G. J. Barker, G. Barr, D. Barrow, M. Batkiewicz-Kwasniak, A. Beloshapkin, F. Bench, V. Berardi, L. Berns, S. Bhadra, A. Blanchet, A. Blondel, S. Bolognesi, T. Bonus, B. Bourguille, S. B. Boyd, A. Bravar, D. Bravo Berguño, C. Bronner, S. Bron, A. Bubak, M. Buizza Avanzini, S. Cao, S. L. Cartwright, M. G. Catanesi, A. Cervera, J. Chakrani, D. Cherdack, G. Christodoulou, M. Cicerchia, J. Coleman, G. Collazuol, L. Cook, D. Coplowe, A. Cudd, G. De Rosa, T. Dealtry, C. C. Delogu, S. R. Dennis, C. Densham, A. Dergacheva, F. Di Lodovico, S. Dolan, D. Douqa, T. A. Doyle, J. Dumarchez, P. Dunne, A. Eguchi, L. Eklund, S. Emery-Schrenk, A. Ereditato, A. J. Finch, G. Fiorillo, C. Francois, M. Friend, Y. Fujii, R. Fukuda, Y. Fukuda, K. Fusshoeller, C. Giganti, M. Gonin, E. A. G. Goodman, A. Gorin, M. Grassi, M. Guigue, D. R. Hadley, P. Hamacher-Baumann, D. A. Harris, M. Hartz, T. Hasegawa, S. Hassani, N. C. Hastings, Y. Hayato, A. Hiramoto, M. Hogan, J. Holeczek, N. T. Hong Van, T. Honjo, F. Iacob, A. K. Ichikawa, M. Ikeda, T. Ishida, M. Ishitsuka, K. Iwamoto, A. Izmaylov, N. Izumi, M. Jakkapu, B. Jamieson, S. J. Jenkins, C. Jesús-Valls, J. J. Jiang, P. Jonsson, C. K. Jung, P. B. Jurj, M. Kabirnezhad, H. Kakuno, J. Kameda, S. P. Kasetti, Y. Kataoka, Y. Katayama, T. Katori, E. Kearns, M. Khabibullin, A. Khotjantsev, T. Kikawa, H. Kikutani, S. King, J. Kisiel, T. Kobata, T. Kobayashi, L. Koch, A. Konaka, L. L. Kormos, Y. Koshio, A. Kostin, K. Kowalik, Y. Kudenko, S. Kuribayashi, R. Kurjata, T. Kutter, M. Kuze, L. Labarga, J. Lagoda, M. Lamoureux, D. Last, M. Laveder, M. Lawe, S. -K. Lin, R. P. Litchfield, S. L. Liu, A. Longhin, L. Ludovici, X. Lu, T. Lux, L. N. Machado, L. Magaletti, K. Mahn, M. Malek, S. Manly, L. Maret, A. D. Marino, L. Marti-Margo, T. Maruyama, T. Matsubara, K. Matsushita, C. Mauger, A. Maurel, K. Mavrokoridis, E. Mazzucato, N. Mccauley, J. Mcelwee, K. S. Mcfarland, C. Mcgrew, A. Mefodiev, G. D. Megias, L. Mellet, M. Mezzetto, A. Minamino, O. Mineev, S. Mine, M. Miura, L. Molina Bueno, S. Moriyama, Th. A. Mueller, D. Munford, L. Munteanu, Y. Nagai, T. Nakadaira, M. Nakahata, Y. Nakajima, A. Nakamura, H. Nakamura, K. Nakamura, Y. Nakano, S. Nakayama, T. Nakaya, K. Nakayoshi, C. E. R. Naseby, T. V. Ngoc, V. Q. Nguyen, K. Niewczas, Y. Nishimura, K. Nishizaki, E. Noah, T. S. Nonnenmacher, F. Nova, J. Nowak, J. C. Nugent, H. M. O'Keeffe, L. O'Sullivan, T. Odagawa, T. Ogawa, R. Okada, K. Okumura, T. Okusawa, R. A. Owen, Y. Oyama, V. Palladino, V. Paolone, M. Pari, W. C. Parker, J. Parlone, S. Parsa, J. Pasternak, M. Pavin, D. Payne, G. C. Penn, D. Pershey, L. Pickering, C. Pidcott, G. Pintaudi, C. Pistillo, B. Popov, K. Porwit, M. Posiadala-Zezula, B. Quilain, T. Radermacher, E. Radicioni, B. Radics, P. N. Ratoff, M. Reh, C. Riccio, E. Rondio, S. Roth, A. Rubbia, A. C. Ruggeri, C. A. Ruggles, A. Rychter, L. S. M. Lakshmi, K. Sakashita, F. Sanchez, G. Santucci, C. M. Schloesser, K. Scholberg, M. Scott, Y. Seiya, T. Sekiguchi, H. Sekiya, D. Sgalaberna, A. Shaikhiev, A. Shaykina, M. Shiozawa, W. Shorrock, A. Shvartsman, K. Skwarczynski, M. Smy, J. T. Sobczyk, H. Sobel, F. J. P. Soler, Y. Sonoda, R. Spina, S. Suvorov, A. Suzuki, S. Y. Suzuki, Y. Suzuki, A. A. Sztuc, M. Tada, M. Tajima, A. Takeda, Y. Takeuchi, H. K. Tanaka, Y. Tanihara, M. Tani, N. Teshima, N. Thamm, L. F. Thompson, W. Toki, C. Touramanis, T. Towstego, K. M. Tsui, T. Tsukamoto, M. Tzanov, Y. Uchida, M. Vagins, S. Valder, D. Vargas, G. Vasseur, C. Vilela, W. G. S. Vinning, T. Vladisavljevie, T. Wachala, J. Walker, J. G. Walsh, Y. Wang, L. Wan, D. Wark, M. O. Wascko, A. Weber, R. Wendell, M. J. Wilking, C. Wilkinson, J. R. Wilson, K. Wood, C. Wret, J. Xia, Y. -H. Xu, K. Yamamto, C. Yanagisawa, G. Yang, T. Yano, K. Yasutome, N. Yeshov, M. Yokoyama, T. Yoshida, Y. Yoshimoto, M. Yu, R. Zaki, A. Zalewska, J. Zalipska, K. Zaremba, G. Zarnecki, M. Ziembicki, M. Zito, S. Zsoldos Jun 2021

First T2k Measurement Of Transverse Kinematic Imbalance In The Muon-Neutrino Charged-Current Single- Π+ Production Channel Containing At Least One Proton, K. Abe, N. Akhlaq, R. Akutsu, A. Ali, C. Alt, C. Andreopoulos, M. Antonova, S. Aoki, T. Arihara, Y. Asada, Y. Ashida, E. T. Atkin, Y. Awataguchi, G. J. Barker, G. Barr, D. Barrow, M. Batkiewicz-Kwasniak, A. Beloshapkin, F. Bench, V. Berardi, L. Berns, S. Bhadra, A. Blanchet, A. Blondel, S. Bolognesi, T. Bonus, B. Bourguille, S. B. Boyd, A. Bravar, D. Bravo Berguño, C. Bronner, S. Bron, A. Bubak, M. Buizza Avanzini, S. Cao, S. L. Cartwright, M. G. Catanesi, A. Cervera, J. Chakrani, D. Cherdack, G. Christodoulou, M. Cicerchia, J. Coleman, G. Collazuol, L. Cook, D. Coplowe, A. Cudd, G. De Rosa, T. Dealtry, C. C. Delogu, S. R. Dennis, C. Densham, A. Dergacheva, F. Di Lodovico, S. Dolan, D. Douqa, T. A. Doyle, J. Dumarchez, P. Dunne, A. Eguchi, L. Eklund, S. Emery-Schrenk, A. Ereditato, A. J. Finch, G. Fiorillo, C. Francois, M. Friend, Y. Fujii, R. Fukuda, Y. Fukuda, K. Fusshoeller, C. Giganti, M. Gonin, E. A. G. Goodman, A. Gorin, M. Grassi, M. Guigue, D. R. Hadley, P. Hamacher-Baumann, D. A. Harris, M. Hartz, T. Hasegawa, S. Hassani, N. C. Hastings, Y. Hayato, A. Hiramoto, M. Hogan, J. Holeczek, N. T. Hong Van, T. Honjo, F. Iacob, A. K. Ichikawa, M. Ikeda, T. Ishida, M. Ishitsuka, K. Iwamoto, A. Izmaylov, N. Izumi, M. Jakkapu, B. Jamieson, S. J. Jenkins, C. Jesús-Valls, J. J. Jiang, P. Jonsson, C. K. Jung, P. B. Jurj, M. Kabirnezhad, H. Kakuno, J. Kameda, S. P. Kasetti, Y. Kataoka, Y. Katayama, T. Katori, E. Kearns, M. Khabibullin, A. Khotjantsev, T. Kikawa, H. Kikutani, S. King, J. Kisiel, T. Kobata, T. Kobayashi, L. Koch, A. Konaka, L. L. Kormos, Y. Koshio, A. Kostin, K. Kowalik, Y. Kudenko, S. Kuribayashi, R. Kurjata, T. Kutter, M. Kuze, L. Labarga, J. Lagoda, M. Lamoureux, D. Last, M. Laveder, M. Lawe, S. -K. Lin, R. P. Litchfield, S. L. Liu, A. Longhin, L. Ludovici, X. Lu, T. Lux, L. N. Machado, L. Magaletti, K. Mahn, M. Malek, S. Manly, L. Maret, A. D. Marino, L. Marti-Margo, T. Maruyama, T. Matsubara, K. Matsushita, C. Mauger, A. Maurel, K. Mavrokoridis, E. Mazzucato, N. Mccauley, J. Mcelwee, K. S. Mcfarland, C. Mcgrew, A. Mefodiev, G. D. Megias, L. Mellet, M. Mezzetto, A. Minamino, O. Mineev, S. Mine, M. Miura, L. Molina Bueno, S. Moriyama, Th. A. Mueller, D. Munford, L. Munteanu, Y. Nagai, T. Nakadaira, M. Nakahata, Y. Nakajima, A. Nakamura, H. Nakamura, K. Nakamura, Y. Nakano, S. Nakayama, T. Nakaya, K. Nakayoshi, C. E. R. Naseby, T. V. Ngoc, V. Q. Nguyen, K. Niewczas, Y. Nishimura, K. Nishizaki, E. Noah, T. S. Nonnenmacher, F. Nova, J. Nowak, J. C. Nugent, H. M. O'Keeffe, L. O'Sullivan, T. Odagawa, T. Ogawa, R. Okada, K. Okumura, T. Okusawa, R. A. Owen, Y. Oyama, V. Palladino, V. Paolone, M. Pari, W. C. Parker, J. Parlone, S. Parsa, J. Pasternak, M. Pavin, D. Payne, G. C. Penn, D. Pershey, L. Pickering, C. Pidcott, G. Pintaudi, C. Pistillo, B. Popov, K. Porwit, M. Posiadala-Zezula, B. Quilain, T. Radermacher, E. Radicioni, B. Radics, P. N. Ratoff, M. Reh, C. Riccio, E. Rondio, S. Roth, A. Rubbia, A. C. Ruggeri, C. A. Ruggles, A. Rychter, L. S. M. Lakshmi, K. Sakashita, F. Sanchez, G. Santucci, C. M. Schloesser, K. Scholberg, M. Scott, Y. Seiya, T. Sekiguchi, H. Sekiya, D. Sgalaberna, A. Shaikhiev, A. Shaykina, M. Shiozawa, W. Shorrock, A. Shvartsman, K. Skwarczynski, M. Smy, J. T. Sobczyk, H. Sobel, F. J. P. Soler, Y. Sonoda, R. Spina, S. Suvorov, A. Suzuki, S. Y. Suzuki, Y. Suzuki, A. A. Sztuc, M. Tada, M. Tajima, A. Takeda, Y. Takeuchi, H. K. Tanaka, Y. Tanihara, M. Tani, N. Teshima, N. Thamm, L. F. Thompson, W. Toki, C. Touramanis, T. Towstego, K. M. Tsui, T. Tsukamoto, M. Tzanov, Y. Uchida, M. Vagins, S. Valder, D. Vargas, G. Vasseur, C. Vilela, W. G. S. Vinning, T. Vladisavljevie, T. Wachala, J. Walker, J. G. Walsh, Y. Wang, L. Wan, D. Wark, M. O. Wascko, A. Weber, R. Wendell, M. J. Wilking, C. Wilkinson, J. R. Wilson, K. Wood, C. Wret, J. Xia, Y. -H. Xu, K. Yamamto, C. Yanagisawa, G. Yang, T. Yano, K. Yasutome, N. Yeshov, M. Yokoyama, T. Yoshida, Y. Yoshimoto, M. Yu, R. Zaki, A. Zalewska, J. Zalipska, K. Zaremba, G. Zarnecki, M. Ziembicki, M. Zito, S. Zsoldos

Faculty Publications

This paper reports the first T2K measurement of the transverse kinematic imbalance in the single-π+ production channel of neutrino interactions. We measure the differential cross sections in the muon-neutrino charged-current interaction on hydrocarbon with a single π+ and at least one proton in the final state, at the ND280 off axis near detector of the T2K experiment. The extracted cross sections are compared to the predictions from different neutrino-nucleus interaction event generators. Overall, the results show a preference for models that have a more realistic treatment of nuclear medium effects including the initial nuclear state and final-state interactions.


Improved Constraints On Neutrino Mixing From The T2k Experiment With 3.13×1021 Protons On Target, K. Abe, N. Akhlaq, R. Akutsu, A. Ali, C. Alt, C. Andreopoulos, M. Antonova, S. Aoki, T. Arihara, Y. Asada, Y. Ashida, E. T. Atkin, Y. Awataguchi, G. J. Barker, G. Barr, D. Barrow, M. Batkiewicz-Kwasniak, A. Beloshapkin, F. Bench, V. Berardi, L. Berns, S. Bhadra, A. Blanchet, A. Blondel, S. Bolognesi, T. Bonus, B. Bourguille, S. B. Boyd Jun 2021

Improved Constraints On Neutrino Mixing From The T2k Experiment With 3.13×1021 Protons On Target, K. Abe, N. Akhlaq, R. Akutsu, A. Ali, C. Alt, C. Andreopoulos, M. Antonova, S. Aoki, T. Arihara, Y. Asada, Y. Ashida, E. T. Atkin, Y. Awataguchi, G. J. Barker, G. Barr, D. Barrow, M. Batkiewicz-Kwasniak, A. Beloshapkin, F. Bench, V. Berardi, L. Berns, S. Bhadra, A. Blanchet, A. Blondel, S. Bolognesi, T. Bonus, B. Bourguille, S. B. Boyd

Faculty Publications

The T2K experiment reports updated measurements of neutrino and antineutrino oscillations using both appearance and disappearance channels. This result comes from an exposure of 14.9(16.4)×1020 protons on target in neutrino (antineutrino) mode. Significant improvements have been made to the neutrino interaction model and far detector reconstruction. An extensive set of simulated data studies have also been performed to quantify the effect interaction model uncertainties have on the T2K oscillation parameter sensitivity. T2K performs multiple oscillation analyses that present both frequentist and Bayesian intervals for the Pontecorvo-Maki-Nakagawa-Sakata parameters. For fits including a constraint on sin2θ13 from reactor data and assuming normal …


Peridynamics-Based Discrete Element Method (Peridem) Model Of Granular Systems Involving Breakage Of Arbitrarily Shaped Particles, Prashant K. Jha, Prathamesh S. Desai, Debdeep Bhattacharya, Robert Lipton Jun 2021

Peridynamics-Based Discrete Element Method (Peridem) Model Of Granular Systems Involving Breakage Of Arbitrarily Shaped Particles, Prashant K. Jha, Prathamesh S. Desai, Debdeep Bhattacharya, Robert Lipton

Faculty Publications

Usage, manipulation, transport, delivery, and mixing of granular or particulate media, comprised of spherical or polyhedral particles, is commonly encountered in industrial sectors of construction (cement and rock fragments), pharmaceutics (tablets), and transportation (ballast). Elucidating particulate media's behavior in concert with particle attrition (i.e., particle wear and subsequent particle fragmentation) is essential for predicting the performance and increasing the efficiency of engineering systems using such media. Discrete element method (DEM) based techniques can describe the interaction between particles but cannot model intra-particle deformation, especially intra-particle fracture. On the other hand, peridynamics provides the means to account for intra-particle deformation and …


A Deep Learning Enhanced Novel Software Tool For Laryngeal Dynamics Analysis, Andreas M. Kist, Pablo Gómez, Denis Dubrovskiy, Patrick Schlegel, Melda Kunduk, Matthias Echternach, Rita Patel, Marion Semmler, Christopher Bohr, Stephan Dürr, Anne Schützenberger, Michael Döllinger Jun 2021

A Deep Learning Enhanced Novel Software Tool For Laryngeal Dynamics Analysis, Andreas M. Kist, Pablo Gómez, Denis Dubrovskiy, Patrick Schlegel, Melda Kunduk, Matthias Echternach, Rita Patel, Marion Semmler, Christopher Bohr, Stephan Dürr, Anne Schützenberger, Michael Döllinger

Faculty Publications

Purpose: High-speed videoendoscopy (HSV) is an emerging, but barely used, endoscopy technique in the clinic to assess and diagnose voice disorders because of the lack of dedicated software to analyze the data. HSV allows to quantify the vocal fold oscillations by segmenting the glottal area. This challenging task has been tackled by various studies; however, the proposed approaches are mostly limited and not suitable for daily clinical routine. Method: We developed a user-friendly software in C# that allows the editing, motion correction, segmentation, and quantitative analysis of HSV data. We further provide pretrained deep neural networks for fully automatic glottis …


Blowout - Capping - Fracturing - Relief Well, A Full Cycle Workflow, Youssuf A. Elnoamany May 2021

Blowout - Capping - Fracturing - Relief Well, A Full Cycle Workflow, Youssuf A. Elnoamany

LSU Master's Theses

Broaching is defined as the uncontrolled release of hydrocarbons to ocean seafloor after a loss of subsurface well control event. Failed attempts to cap the offshore wells undergoing worst case discharge may lead to hydraulic fracture initiation and subsequent propagation, leading to renewed release of hydrocarbon to the seafloor. During the capping stack shut-in process, pressure build-up will occur along the wellbore, exposing locations of possible fracture initiation to overpressurized fluid, such as directly below the casing shoe, and critical points along the well casing. Shall there be enough build-up pressure to exceed the minimum horizontal stress in an exposed …


Wildfires: Vegetation Recovery And The Potential For Future Fires, Moses Okonkwo May 2021

Wildfires: Vegetation Recovery And The Potential For Future Fires, Moses Okonkwo

LSU Master's Theses

Analysis of satellite imagery combined with Geographic Information Systems (GIS), often allows for observing the increasing changes in land cover dynamics. These changes are often on a macro scale buoyed by natural hazards such as wildfires. This study examines the vegetation recovery dynamics by using multispectral data and also gleaned insight in the applications of Hyperspectral satellite imagery in the study of vegetation dynamics. Both Landsat 8 Operational Land Imager (OLI) (multispectral) and the Earth-Observing One (EO-1) (hyperspectral) data are freely available; however the former has a limited spatial and temporal coverage. The relationship between vegetation recovery, elevation, aspect and …


Anticipating Linear Stochastic Differential Equations With Adapted Coefficients, Hui-Hsiung Kuo, Pujan Shrestha, Sudip Sinha May 2021

Anticipating Linear Stochastic Differential Equations With Adapted Coefficients, Hui-Hsiung Kuo, Pujan Shrestha, Sudip Sinha

Journal of Stochastic Analysis

No abstract provided.


Variability In The Hamburg Wheel-Tracking Device (Hwtd) Data And Results, Ilerioluwa S. Giwa May 2021

Variability In The Hamburg Wheel-Tracking Device (Hwtd) Data And Results, Ilerioluwa S. Giwa

LSU Master's Theses

Over the years, the Hamburg Wheel-Tracking Test (HWTT) has become one of the most popular devices used for characterizing asphalt mixtures for rutting potential and moisture susceptibility. However, although the HWTT is a reliable standard test for evaluating asphalt mixtures, it is not exempt from variability in the test data and result. Variability in the HWTT test data and results have been majorly attributed to imprecision in the test practice and due to some limitations in the HWT device setup.

The primary goal of this study is to evaluate the variability in the HWTT data and result by investigating a …


On Properties Of Weil Sums Of Binomials, Liem P. Nguyen May 2021

On Properties Of Weil Sums Of Binomials, Liem P. Nguyen

LSU Doctoral Dissertations

This dissertation explores questions regarding the Weil sum of binomials, a finite field character sum originated from information theory. The Weil spectrum counts distinct values of the Weil sum through invertible elements in the finite field. The value of these sums and the size of the Weil spectrum are of particular interest, as they link problems in information theory, coding theory, and cryptography to other areas of math such as number theory and arithmetic geometry. In the setting of Niho exponents, we prove the Vanishing Conjecture of Helleseth ($1971$) on the presence of zero values in the Weil spectrum and …


Ecosytem Services: Delivering Decision-Making For Salt Marshes, Philine S. E. Zu Ermgassen, Ronald Baker, Michael W. Beck, Kate Dodds, Sophus O. S. E. Zu Ermgassen, Debbrota Mallick, Matthew D. Taylor, R. Eugene Turner May 2021

Ecosytem Services: Delivering Decision-Making For Salt Marshes, Philine S. E. Zu Ermgassen, Ronald Baker, Michael W. Beck, Kate Dodds, Sophus O. S. E. Zu Ermgassen, Debbrota Mallick, Matthew D. Taylor, R. Eugene Turner

Faculty Publications

No abstract provided.


Applications Of Nonstandard Analysis In Probability And Measure Theory, Irfan Alam May 2021

Applications Of Nonstandard Analysis In Probability And Measure Theory, Irfan Alam

LSU Doctoral Dissertations

This dissertation broadly deals with two areas of probability theory and investigates how methods from nonstandard analysis may provide new perspectives in these topics. In particular, we use nonstandard analysis to prove new results in the topics of limiting spherical integrals and of exchangeability.

In the former area, our methods allow us to represent finite dimensional Gaussian measures in terms of marginals of measures on hyperfinite-dimensional spheres in a certain strong sense, thus generalizing some previously known results on Gaussian Radon transforms as limits of spherical integrals. This first area has roots in the kinetic theory of gases, which is …


The Role Of School Sociocultural Factors On The Mental Health And Academic Competence Of Elementary Aged Children, Aijah Kai Baruti Goodwin May 2021

The Role Of School Sociocultural Factors On The Mental Health And Academic Competence Of Elementary Aged Children, Aijah Kai Baruti Goodwin

LSU Doctoral Dissertations

Due to the diversification of school systems, schools are being challenged to engage in more culturally responsive practices to meet the needs of diverse students. Therefore, this study utilized Gay’s (2002) model of culturally responsive teaching to assess the relationship between sociocultural factors and the academic competence and mental health of elementary-aged children. This study also aimed to investigate the mediating and moderating relationship that culturally responsive classroom practices play on children’s academic competence and mental health. One hundred thirty-one diverse parents (97.7%), and legal guardians (2.3%) with children in elementary school (Mage = 8.05) were recruited for participation …


Population Properties Of Compact Objects From The Second Ligo-Virgo Gravitational-Wave Transient Catalog, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, P. Ajith, G. Allen, A. Allocca, P. A. Altin, A. Amato, S. Anand, A. Ananyeva, S. B. Anderson, W. G. Anderson, S. V. Angelova, S. Ansoldi, J. M. Antelis, S. Antier, S. Appert, K. Arai, M. C. Araya, J. S. Areeda May 2021

Population Properties Of Compact Objects From The Second Ligo-Virgo Gravitational-Wave Transient Catalog, R. Abbott, T. D. Abbott, S. Abraham, F. Acernese, K. Ackley, A. Adams, C. Adams, R. X. Adhikari, V. B. Adya, C. Affeldt, M. Agathos, K. Agatsuma, N. Aggarwal, O. D. Aguiar, L. Aiello, A. Ain, P. Ajith, G. Allen, A. Allocca, P. A. Altin, A. Amato, S. Anand, A. Ananyeva, S. B. Anderson, W. G. Anderson, S. V. Angelova, S. Ansoldi, J. M. Antelis, S. Antier, S. Appert, K. Arai, M. C. Araya, J. S. Areeda

Faculty Publications

We report on the population of 47 compact binary mergers detected with a false-alarm rate of (BBH) population not discernible until now. First, the primary mass spectrum contains structure beyond a power law with a sharp high-mass cutoff; it is more consistent with a broken power law with a break at 39.7-+9.120.3 M? or a power law with a Gaussian feature peaking at 33.1-+5.64.0 M? (90% credible interval). While the primary mass distribution must extend to ~65 M? or beyond, only 2.9-+1.73.5% of systems have primary masses greater than 45 M?. Second, we find that a fraction of BBH systems …


Validation Of A Respiratory Gating System For Automated Delivery Of The Deep Inspiration Breath-Hold Technique, Michael G. Stock May 2021

Validation Of A Respiratory Gating System For Automated Delivery Of The Deep Inspiration Breath-Hold Technique, Michael G. Stock

LSU Master's Theses

Purpose: To validate the performance of a respiratory gating system for the automated delivery of the deep inspiration breath-hold (DIBH) technique.

Methods: The gating system utilized an automatic gating interface (Elekta Response) which connected a marker-based respiratory motion monitoring system to the linear accelerator control system. The gating system was characterized dosimetrically and temporally using two distinct approaches. Central-axis output and energy constancy were evaluated across 8 beam-matched linear accelerators. Additionally, a representative set of 5 treatment plans were delivered both non-gated and gated to a 2D diode array (MapCHECK). The respiratory motion monitoring system optically tracked a reflective marker …


Characterizing The Northern Hemisphere Circumpolar Vortex Through Space And Time, Nazla Bushra May 2021

Characterizing The Northern Hemisphere Circumpolar Vortex Through Space And Time, Nazla Bushra

LSU Doctoral Dissertations

This hemispheric-scale, steering atmospheric circulation represented by the circumpolar vortices (CPVs) are the middle- and upper-tropospheric wind belts circumnavigating the poles. Variability in the CPV area, shape, and position are important topics in geoenvironmental sciences because of the many links to environmental features. However, a means of characterizing the CPV has remained elusive. The goal of this research is to (i) identify the Northern Hemisphere CPV (NHCPV) and its morphometric characteristics, (ii) understand the daily characteristics of NHCPV area and circularity over time, (iii) identify and analyze spatiotemporal variability in the NHCPV’s centroid, and (iv) analyze how CPV features relate …


Methodology Utilizing Triphosgene To Promote Cyclization Of Epoxy Ketones To Pyranoside Derivatives Via Proposed Epoxonium Ions, Isaac Camargo Dos Reis May 2021

Methodology Utilizing Triphosgene To Promote Cyclization Of Epoxy Ketones To Pyranoside Derivatives Via Proposed Epoxonium Ions, Isaac Camargo Dos Reis

LSU Master's Theses

The development of new methodologies in organic chemistry is of great importance. In fact, the discovery and creation of new reactions frequently uncovers new chemical reactivities and creates new areas of chemistry. The purpose of this thesis is to present the development of new synthetic reactions that were discovered through previous findings. Additionally, the main theme of this work relies on the intermediacy of a cationic reactive intermediate: epoxonium ions. Chapter 1 provides a brief review of bicyclic epoxonium ions and methods for their generation, as well as their utility in the synthesis of interesting heterocycles. Furthermore, Chapter 1 illustrates …


Incorporating Life Into Living Shorelines: Can Gulf Ribbed Mussels Reduce Shoreline Erosion And Enhance Restoration Practices?, Jordan Logarbo May 2021

Incorporating Life Into Living Shorelines: Can Gulf Ribbed Mussels Reduce Shoreline Erosion And Enhance Restoration Practices?, Jordan Logarbo

LSU Master's Theses

The gulf ribbed mussel (Geukensia granosissima) exists throughout the Gulf of Mexico and influences biotic and abiotic environmental attributes as an ecosystem engineer. Ribbed mussels are an important component of marsh ecosystems providing services including filtering particulate matter, depositing and transforming nutrients in the system, increasing soil strength via byssal threads and providing structure via their shells.

The spatial distribution of mussels along the marsh edge of Sister Lake, LA was investigated via a broad survey of 150 sites, in relation to elevation, exposure and vegetation percent cover. This survey was followed by a second survey at a …


Hydrometeorological Responses To Abrupt Land Surface Change Following Hurricane Michael, Shannon Alexis Nelson May 2021

Hydrometeorological Responses To Abrupt Land Surface Change Following Hurricane Michael, Shannon Alexis Nelson

LSU Master's Theses

While many of the destructive environmental conditions associated with tropical cyclones are well recognized, tropical cyclone-induced defoliation, a reduction in green leaves and mature vegetation, has been largely overlooked as a source of environmental stress following tropical cyclone passage. The land surface change associated with defoliation reduces evapotranspiration and shade, thus altering boundary layer moisture and energy fluxes that drive the local water cycle, for many months after tropical cyclone passage. Understanding the potential for any hydrometeorological impacts arising from such abrupt land surface change is important for guiding future post-hurricane preparedness and recovery planning in coastal communities.

This thesis …


The Edwards Model For Fractional Brownian Loops And Starbursts, Wolfgang Bock, Torben Fattler, Ludwig Streit May 2021

The Edwards Model For Fractional Brownian Loops And Starbursts, Wolfgang Bock, Torben Fattler, Ludwig Streit

Journal of Stochastic Analysis

No abstract provided.


Machine Learning Methods For Depression Detection Using Smri And Rs-Fmri Images, Marzieh Sadat Mousavian May 2021

Machine Learning Methods For Depression Detection Using Smri And Rs-Fmri Images, Marzieh Sadat Mousavian

LSU Doctoral Dissertations

Major Depression Disorder (MDD) is a common disease throughout the world that negatively influences people’s lives. Early diagnosis of MDD is beneficial, so detecting practical biomarkers would aid clinicians in the diagnosis of MDD. Having an automated method to find biomarkers for MDD is helpful even though it is difficult. The main aim of this research is to generate a method for detecting discriminative features for MDD diagnosis based on Magnetic Resonance Imaging (MRI) data.

In this research, representational similarity analysis provides a framework to compare distributed patterns and obtain the similarity/dissimilarity of brain regions. Regions are obtained by either …


Quantifying Feature Overlaps In Deep Neural Networks And Their Applications In Unsupervised Learning And Generative Adversarial Networks, Edward Collier May 2021

Quantifying Feature Overlaps In Deep Neural Networks And Their Applications In Unsupervised Learning And Generative Adversarial Networks, Edward Collier

LSU Doctoral Dissertations

Deep neural network learn a wide range of features from the input data. These features take many different forms from, structural to textural, and can be very scale invariant. The complexity of these features also differs from layer to layer. Much like the human brain, this behavior in deep neural networks can also be used to cluster and separate classes. Applicability in deep neural networks is the quantitative measurement of the networks ability to differentiate between clusters in feature space. Applicability can measure the differentiation between clusters of sets of classes, single classes, or even within the same class. In …


Musical Gesture Through The Human Computer Interface: An Investigation Using Information Theory, Michael Vincent Blandino May 2021

Musical Gesture Through The Human Computer Interface: An Investigation Using Information Theory, Michael Vincent Blandino

LSU Doctoral Dissertations

This study applies information theory to investigate human ability to communicate using continuous control sensors with a particular focus on informing the design of digital musical instruments. There is an active practice of building and evaluating such instruments, for instance, in the New Interfaces for Musical Expression (NIME) conference community. The fidelity of the instruments can depend on the included sensors, and although much anecdotal evidence and craft experience informs the use of these sensors, relatively little is known about the ability of humans to control them accurately. This dissertation addresses this issue and related concerns, including continuous control performance …


Mosquito Distribution And Stoichiometric Analysis Between Open And Closed Canopies In New Orleans Cemeteries, Rachel Rogers May 2021

Mosquito Distribution And Stoichiometric Analysis Between Open And Closed Canopies In New Orleans Cemeteries, Rachel Rogers

LSU Master's Theses

Cemetery vases represent an important container habitat for mosquito larvae. Some species, like, Aedes albopictus and Aedes aegypti, prefer container habitats, whereas others, like Culex quinquefasciatus, will opportunistically use containers. In New Orleans, these three medically important vector species (Ae. albopictus Ae. aegypti, and Cx. quinquefasciatus) co-occur, despite a demonstrated competitive advantage of Ae. albopictus to the other two. Here we test the hypothesis that canopy cover from trees could be a mediating factor in driving mosquito assemblages in New Orleans, by influencing food sources, and the microclimate experienced by mosquito larvae. Samples from seven …


Modeled Changes In Source Contributions Of Particulate Matter During The Covid-19 Pandemic In The Yangtze River Delta, China, Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, Hongliang Zhang May 2021

Modeled Changes In Source Contributions Of Particulate Matter During The Covid-19 Pandemic In The Yangtze River Delta, China, Jinlong Ma, Juanyong Shen, Peng Wang, Shengqiang Zhu, Yu Wang, Pengfei Wang, Gehui Wang, Jianmin Chen, Hongliang Zhang

Faculty Publications

Within a short time after the outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, Hubei, the Chinese government introduced a nationwide lockdown to prevent the spread of the pandemic. The quarantine measures have significantly decreased the anthropogenic activities, thus improving air quality. To study the impacts caused by the lockdown on specific source sectors and regions in the Yangtze River Delta (YRD), the Community Multiscale Air Quality (CMAQ) model was used to investigate the changes in source contributions to fine particulate matter (PM2.5) from 23 January to 28 February 2020, based on different emission control cases. Compared to case 1 …


Alòs Type Decomposition Formula For Barndorff-Nielsen And Shephard Model, Takuji Arai May 2021

Alòs Type Decomposition Formula For Barndorff-Nielsen And Shephard Model, Takuji Arai

Journal of Stochastic Analysis

No abstract provided.


Mental Imagery In The Regulation Of Differential Fear Conditioning: A Multimodal Investigation Involving Self-Report, Psychophysiology, And Brain Imaging, Tyler Daniel Robinson May 2021

Mental Imagery In The Regulation Of Differential Fear Conditioning: A Multimodal Investigation Involving Self-Report, Psychophysiology, And Brain Imaging, Tyler Daniel Robinson

LSU Doctoral Dissertations

Mental imagery is a common component in a range of emotion regulation techniques. However, the effectiveness and neural mechanisms of regulation via mental imagery are underexplored due to a lack of studies targeting mental imagery specifically. This discrepancy results in uncertainty regarding the mechanism of regulation in existing paradigms. Biased competition for attentional resources presents a plausible model by which a mental imagery-based distracter can downregulate response to an emotional stimulus. If visualizing an imagined distracter effectively regulates emotional response, the inclusion of mental imagery components in other techniques represents a potential confound. To address this discrepancy, this dissertation investigates …


Mixed Generalized Fractional Brownian Motion, Shaykhah Alajmi, Ezzedine Mliki May 2021

Mixed Generalized Fractional Brownian Motion, Shaykhah Alajmi, Ezzedine Mliki

Journal of Stochastic Analysis

No abstract provided.


Enhanced Atmospheric Oxidation Capacity And Associated Ozone Increases During Covid-19 Lockdown In The Yangtze River Delta, Yu Wang, Shengqiang Zhu, Jinlong Ma, Juanyong Shen, Pengfei Wang, Peng Wang, Hongliang Zhang May 2021

Enhanced Atmospheric Oxidation Capacity And Associated Ozone Increases During Covid-19 Lockdown In The Yangtze River Delta, Yu Wang, Shengqiang Zhu, Jinlong Ma, Juanyong Shen, Pengfei Wang, Peng Wang, Hongliang Zhang

Faculty Publications

Aggressive air pollution control in China since 2013 has achieved sharp decreases in fine particulate matter (PM2.5), along with increased ozone (O-3) concentrations. Due to the pandemic of coronavirus disease 2019 (COVID-19), China imposed nationwide restriction, leading to large reductions in economic activities and associated emissions. In particular, large decreases were found in nitrogen oxides (NOx) emissions (>50%) from transportation. However, O-3 increased in the Yangtze River Delta (YRD), which cannot be fully explained by changes in NOx and volatile organic compound (VOCs) emissions. In this study, the Community Multi-scale Air Quality model was used to investigate O-3 increase …