Digital Commons Network^™

A Comparison Of The Mental Health Of Police Officers And Correctional Officers In Rural Appalachia, Sierra Thomas

Electronic Theses and Dissertations

The purpose of this study was to explore perceptions of mental health among police officers and correctional officers within rural Appalachia. The main goal of this research was to better understand how the occupational demands of working in the criminal justice field can impact one’s mental health over time. Several research questions were explored, including the prevalence of various mental health problems, associated stressors, the structure of support among officers, and the perceptions of mental health treatment services. Data were gathered through semi-structured interviews with 21 police and correctional officers located in rural Appalachia. Results provided a better understanding of …

South Texas Wildlife Activity Across A Fragmented Landscape And Road Mitigation Corridor, Caitlin K. Brett

Theses and Dissertations

Wildlife crossing structures (WCS) and roadside fencing are commonly installed to mitigate habitat fragmentation, wildlife road mortalities, and other negative effects that roads can have on the surrounding landscape. Eight such WCS were constructed below Farm-to-Market (FM)106 in Cameron County, Texas, across a 16 km corridor transecting the Laguna Atascosa National Wildlife Refuge. These WCS, paired with adjacent roadside fencing, were intended to prevent road mortalities of the endangered ocelot (Leopardus pardalis) and to mitigate the barrier effect of FM106 on this and other meso-mammal species. This study will analyze camera trap data from roadside and habitat reference …

Latinx Parents’ Experiences Accessing Their Children’S Instruction And Resources Amidst The Covid-19 Pandemic, Elisa Coy Clark

Theses and Dissertations

The purpose of this case study is to build awareness of the Latinx school parents’ experiences during the COVID-19 pandemic. This case study also explores how one’s cultural intuition can help advocate for the Latinx parents and their school children during a novel time. To find this information, I interviewed 7 parents and found the emerging themes that helped answer these two questions. In this case study I found that school families encountered a language barrier, struggled with computer literacy, were expected to help provide instruction, and that some parents were able to support their children after receiving teacher support. …

The Politics Of Sexual Assault On The Theatrical Stage: How Theatre For Social Change Challenges Systems Of Oppression, Gerry Rodriguez

Theses and Dissertations

The critical introduction analyzes how theatre has been used as a tool to directly address politics and influence social change. Augusto Boal’s Theatre of the Oppressed has been of particular importance and influence in contemporary theatre which directly mirrors the failures of society by representing the people who are most affected. The purpose of theatre for social change is to accurately represent oppression within communities and inspire audiences to play an active role in finding solutions for these oppressive systems once they leave the comfort of the theatre. The critical introduction is followed by the full-length play, Victim Does Not …

Analyzing Business-Focused Social Networks In Hiring: The Influence Of A Job Candidate's Network On A Recruiter's Hiring Recommendation, Hannah V. Kibby

Graduate Theses and Dissertations (2019 - present)

Social media has altered the ways in which people interact. Business-focused social media profiles, such as those on LinkedIn, can act as a proxy for a traditional resume. However, these websites differ from a traditional resume in that information presented is sometimes informal, personal, and irrelevant to the member’s career. Furthermore, HR employees are able to view a job candidate’s social network. This research investigates the influence of a recruiter’s knowledge of an applicant’s professional network on the recruiter’s perception of the applicant’s trustworthiness and hence their willingness to take risk in the hiring relationship. A review of the literature …

Seeing The Big Picture: System Architecture Trends In Endoscopy And Led-Based Hyperspectral Subsystem Intergration, Craig M. Browning

Graduate Theses and Dissertations (2019 - present)

Early-stage colorectal lesions remain difficult to detect. Early development of neoplasia tends to be small (less than 10 mm) and flat and difficult to distinguish from surrounding mucosa. Additionally, optical diagnosis of neoplasia as benign or malignant is problematic. Low rates of detection of these lesions allow for continued growth in the colorectum and increased risk of cancer formation. Therefore, it is crucial to detect neoplasia and other non-neoplastic lesions to determine risk and guide future treatment. Technology for detection needs to enhance contrast of subtle tissue differences in the colorectum and track multiple biomarkers simultaneously. This work implements one …

Alfred Russel Wallace Notes 24. Wallace At 200: Potential Subjects For Student Theses, Charles H. Smith

Faculty/Staff Personal Papers

The bicentennial of Alfred Russel Wallace’s birth in 2023 will likely produce a wide array of reviews of his life and work; here, we pause for a short look at some Wallace-related questions that might be adapted for student theses and dissertations. Some of the subjects treated fall in with established lines of research, while others are suggested by other Wallace interests or activities that have not been much explored.

Alfred Russel Wallace Notes 23: The Jersey Devil, And Friends, Charles H. Smith

Faculty/Staff Personal Papers

For nearly three hundred years reports have surfaced of a purported cryptid form known as the ‘Jersey devil.’ In this work an interpretation of the goals of biogeography is given, and how this field can be related to such alleged phenomena, as well as to some of the ideas of Alfred Russel Wallace (1823-1913) that seem to find their origin in the writings of Benedict de Spinoza (1632-1677).

The "Therapeutic Relationship:" Emergence, Eclipse, And Transformations Of A Social Technology., Ulrich Koch

Clinical Research and Leadership Faculty Publications

This essay situates the history of "the relationship" as a therapeutic technology within the broader context of changing social relations in the twentieth-century United States. More specifically, it outlines the emergence and subsequent diffusion of practices that aim to cultivate a social bond between therapist and patient that may serve as a psychotherapeutic tool. The article highlights the transformations of this technology as its institutional and epistemic foundations became challenged. Initially conceived as an "artificial" social relation designed to help with "personal adjustment," the therapeutic relationship was soon also deployed by non-experts and became a model for more healthful social …

Clinical And Patient-Reported Outcomes After Recession Coverage Using Modified Vestibular Incision Subperiosteal Tunnel Access With A Volume-Stable Collagen Matrix As Compared To A Coronally Advanced Flap With A Subepithelial Connective Tissue Graft, Chun-Teh Lee, Marlena Lange, Alain Jureidini, Nurit Bittner, Ulrike Schulze-Späte

Faculty, Staff and Student Publications

Purpose: Coronally advanced split-or full-thickness (CAST or CAFT) flaps in combination with subepithelial connective tissue grafts (SCTGs) are commonly used in root-coverage procedures despite postoperative pain and bleeding from the graft donor site. Therefore, the modified vestibular incision subperiosteal tunnel access procedure (VISTAX) uses a novel collagen matrix (VCMX) instead of autogenous tissue to address the limitations associated with autogenous tissue grafting. This retrospective study compared the clinical outcomes of VISTAX to the results obtained after using a CAST or CAFT flap in combination with SCTG for root coverage.

Methods: Patients with single or multiple adjacent recession I/II defects were …

Genetic Diversity Fuels Gene Discovery For Tobacco And Alcohol Use, Gretchen R B Saunders, Xingyan Wang, Fang Chen, Seon-Kyeong Jang, Mengzhen Liu, Chen Wang, Shuang Gao, Yu Jiang, Chachrit Khunsriraksakul, Jacqueline M Otto, Clifton Addison, Masato Akiyama, Christine M Albert, Fazil Aliev, Alvaro Alonso, Donna K Arnett, Allison E Ashley-Koch, Aneel A Ashrani, Kathleen C Barnes, R Graham Barr, Traci M Bartz, Diane M Becker, Lawrence F Bielak, Emelia J Benjamin, Joshua C Bis, Gyda Bjornsdottir, John Blangero, Eugene R Bleecker, Jason D Boardman, Eric Boerwinkle, Dorret I Boomsma, Meher Preethi Boorgula, Donald W Bowden, Jennifer A Brody, Brian E Cade, Daniel I Chasman, Sameer Chavan, Yii-Der Ida Chen, Zhengming Chen, Iona Cheng, Michael H Cho, Hélène Choquet, John W Cole, Marilyn C Cornelis, Francesco Cucca, Joanne E Curran, Mariza De Andrade, Danielle M Dick, Anna R Docherty, Ravindranath Duggirala, Charles B Eaton, Marissa A Ehringer, Tõnu Esko, Jessica D Faul, Lilian Fernandes Silva, Edoardo Fiorillo, Myriam Fornage, Barry I Freedman, Maiken E Gabrielsen, Melanie E Garrett, Sina A Gharib, Christian Gieger, Nathan Gillespie, David C Glahn, Scott D Gordon, Charles C Gu, Dongfeng Gu, Daniel F Gudbjartsson, Xiuqing Guo, Jeffrey Haessler, Michael E Hall, Toomas Haller, Kathleen Mullan Harris, Jiang He, Pamela Herd, John K Hewitt, Ian Hickie, Bertha Hidalgo, John E Hokanson, Christian Hopfer, Joukejan Hottenga, Lifang Hou, Hongyan Huang, Yi-Jen Hung, David J Hunter, Kristian Hveem, Shih-Jen Hwang, Chii-Min Hwu, William Iacono, Marguerite R Irvin, Yon Ho Jee, Eric O Johnson, Yoonjung Y Joo, Eric Jorgenson, Anne E Justice, Yoichiro Kamatani, Robert C Kaplan, Jaakko Kaprio, Sharon L R Kardia, Matthew C Keller, Tanika N Kelly, Charles Kooperberg, Tellervo Korhonen, Peter Kraft, Kenneth Krauter, Johanna Kuusisto, Markku Laakso, Jessica Lasky-Su, Wen-Jane Lee, James J Lee, Daniel Levy, Liming Li, Kevin Li, Yuqing Li, Kuang Lin, Penelope A Lind, Chunyu Liu, Donald M Lloyd-Jones, Sharon M Lutz, Jiantao Ma, Reedik Mägi, Ani Manichaikul, Nicholas G Martin, Ravi Mathur, Nana Matoba, Patrick F Mcardle, Matt Mcgue, Matthew B Mcqueen, Sarah E Medland, Andres Metspalu, Deborah A Meyers, Iona Y Millwood, Braxton D Mitchell, Karen L Mohlke, Matthew Moll, May E Montasser, Alanna C Morrison, Antonella Mulas, Jonas B Nielsen, Kari E North, Elizabeth C Oelsner, Yukinori Okada, Valeria Orrù, Nicholette D Palmer, Teemu Palviainen, Anita Pandit, S Lani Park, Ulrike Peters, Annette Peters, Patricia A Peyser, Tinca J C Polderman, Nicholas Rafaels, Susan Redline, Robert M Reed, Alex P Reiner, John P Rice, Stephen S Rich, Nicole E Richmond, Carol Roan, Jerome I Rotter, Michael N Rueschman, Valgerdur Runarsdottir, Nancy L Saccone, David A Schwartz, Aladdin H Shadyab, Jingchunzi Shi, Suyash S Shringarpure, Kamil Sicinski, Anne Heidi Skogholt, Jennifer A Smith, Nicholas L Smith, Nona Sotoodehnia, Michael C Stallings, Hreinn Stefansson, Kari Stefansson, Jerry A Stitzel, Xiao Sun, Moin Syed, Ruth Tal-Singer, Amy E Taylor, Kent D Taylor, Marilyn J Telen, Khanh K Thai, Hemant Tiwari, Constance Turman, Thorarinn Tyrfingsson, Tamara L Wall, Robin G Walters, David R Weir, Scott T Weiss, Wendy B White, John B Whitfield, Kerri L Wiggins, Gonneke Willemsen, Cristen J Willer, Bendik S Winsvold, Huichun Xu, Lisa R Yanek, Jie Yin, Kristin L Young, Kendra A Young, Bing Yu, Wei Zhao, Wei Zhou, Sebastian Zöllner, Luisa Zuccolo, 23andme Research Team, Biobank Japan Project, Chiara Batini, Andrew W Bergen, Laura J Bierut, Sean P David, Sarah A Gagliano Taliun, Dana B Hancock, Bibo Jiang, Marcus R Munafò, Thorgeir E Thorgeirsson, Dajiang J Liu, Scott Vrieze

Faculty, Staff and Student Publications

Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1-4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power …

Leveraging Pleiotropy To Discover And Interpret Gwas Results For Sleep-Associated Traits, Sung Chun, Sebastian Akle, Athanasios Teodosiadis, Brian E Cade, Heming Wang, Tamar Sofer, Daniel S Evans, Katie L Stone, Sina A Gharib, Sutapa Mukherjee, Lyle J Palmer, David Hillman, Jerome I Rotter, Craig L Hanis, John A Stamatoyannopoulos, Susan Redline, Chris Cotsapas, Shamil R Sunyaev

Faculty, Staff and Student Publications

Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations …

Exploring Risk Factors Of Alzheimer’S Disease Using Mouse Models, Xian Han

Theses and Dissertations (ETD)

Mouse models of Alzheimer’s disease (AD) that accurately recapitulate pathology and molecular changes are crucial for understanding disease mechanisms and subsequent therapeutic development. We examined five commonly used mouse models of AD (5xFAD, J20, APPNL-F, APPNL-G-F, Tau P301S) and compared their whole- and phosphoproteomes with human AD (the integration of three published datasets) to study whether they can mimic protein/RNA expression discrepancies, molecular changes, and enriched pathways found in human AD cases. The mouse models especially 5xFAD and APPNL-G-F show proteomic signatures similar to human AD but lack human-specific AD progressions, such as dysregulation of synaptic pathways and networks. Integration …

Methods Development In Inflammatory Bowel Disease, Andrew B. Steimke

Theses and Dissertations (ETD)

Inflammatory bowel disease (IBD) is a disease that is classified into two subtypes: ulcerative colitis (UC) and Crohn’s disease (CD). Symptoms can range from mild discomfort to requiring surgical intervention and affects approximately 1-in-200 adults in America alone, with global incidence rates increasing. While many treatments exist for IBD, perhaps the main reason for the lack of a cure is that there are many different pathogeneses that all lead to a very similar expression of symptoms. Over 240 IBD loci have been identified to date, yet the causative allele that drives the association has only been identified in ~60 of …

A Cloning-Free Recyclable System For Crispr-Cas9 Mediated Mutant And Reversion Construction In Candida Albicans Clinical Isolates, Amanda K. Vogel

Theses and Dissertations (ETD)

Candida albicans is a ubiquitous opportunistic fungal pathogen and one of the most prevalent causes of fungal diseases worldwide. The reference isolate SC5314 is one of the most widely used strains for both experimental and genetic studies, but it is becoming increasingly evident that genetic diversity in clinical isolates plays an important role in antifungal resistance, virulence, and pathogenicity. These recent discoveries highlight the need for genetic tools that are capable of investigating genes in multiple strain backgrounds. Here we build on the SAT1-flipper method and combine it with CRISPR-Cas9 technology to achieve cloning-free homozygous deletion in a single transformation …

Better-Than-Chance Prediction Of Cooperative Behaviour From First And Second Impressions, Eric Schniter, Timothy W. Shields

ESI Working Papers

Could cooperation among strangers be facilitated by adaptations that use sparse information to accurately predict cooperative behaviour? We hypothesize that predictions are influenced by beliefs, descriptions, appearance, and behavioural history available for first and second impressions. We also hypothesize that predictions improve when more information is available. We conducted a two-part study. First, we recorded thin-slice videos of university students just before their choices in a repeated Prisoner’s Dilemma with matched partners. Second, a worldwide sample of raters evaluated each player using either videos, photos, only gender labels, or neither images nor labels. Raters guessed players’ first-round Prisoner’s Dilemma choices …

Time Series Classification With Multistage Modeling Using Deep Learning, James Arthur

Open Access Theses & Dissertations

Time series classification (TSC) can be efficiently implemented with several techniques. Many techniques are based on analyzing 1-D signals in the time series data. In this work, we make an intrinsic analytical implementation of a new time series classification that involves a two-stage process. Firstly, by using Recurrence Plots (RP), we transform the time series into 2D images. The second stage consists in taking advantage of deep learn- ing models to perform our classification. The image illustration of time series introduces different feature types that are not available for all 1D signals, and therefore our classifi- cation problem is treated …

Processes & Toolchain For Automation Of Hybrid Direct-Write 3d Printing, Gilbert Thomas Carranza

Open Access Theses & Dissertations

Hybrid 3D printing has evolved from a means to rapidly prototype devices to a fully viable means of manufacturing final products. In particular, electronic and electromagnetic devices have been a focus of hybrid 3D printing multi material structures. However, while the hardware capabilities have been around for years, the software capabilities have only begun to catch up. A process and toolchain for hybrid 3D printing is critically needed.This work details a process and toolchain for hybrid 3D printing metal dielectric structures. In it, a basic slicing algorithm is shown along with off-axis printing and conformal printing for arbitrary curvatures. These …

Transportation Asset Management For The Electric Road System, Kamalen Maria Santos Diaz

Open Access Theses & Dissertations

Electric road systems (ERS) have been presented as a new solution towards a sustainable transportation future, fueling the widespread adoption of electric vehicles by eliminating range anxiety, reducing battery size, and being regional friendly. These systems consist of four components: electric power supply, roads, vehicles, and operations. Much of the early research conducted on ERS has been on how to initially construct these systems by focusing on the first three components, however, there is limited knowledge on how ERS will impact traditional road operations after the systems are in place. Transportation Asset Management (TAM), a major focus within the transportation …

Online/Incremental Learning To Mitigate Concept Drift In Network Traffic Classification, Alberto R. De La Rosa

Open Access Theses & Dissertations

Communication networks play a large role in our everyday lives. COVID19 pandemic in 2020 highlighted their importance as most jobs had to be moved to remote work environments. It is possible that the spread of the virus, the death toll, and the economic consequences would have been much worse without communication networks. To remove sole dependence on one equipment vendor, networks are heterogeneous by design. Due to this, as well as their increasing size, network management has become overwhelming for network managers. For this reason, automating network management will have a significant positive impact. Machine learning and software defined networking …

Application Of Flo-Sic To F-Electron Systems: Sixth Row Elements And Ligated Molecules, Alexander Irun Johnson

Open Access Theses & Dissertations

Density functional theory - the most widely used theoretical method to study atoms,molecules, and solids - suffers from the well-known self-interaction error. A solution to the problem was suggested by Perdew and Zunger [1], who showed the self-interaction error can be removed with self-interaction correction. In 2014, Pederson showed a unitary transformation can be performed on the Kohn-Sham orbitals to generate Fermi-Löwdin orbitals which improve atomization energies, and avoid the computational costs of solving the localization equations.[2] This method is known as the Fermi-Löwdin Orbital Self-Interaction Correction (FLO-SIC). Until now, the FLO-SIC methodology has been used for atoms not containing …

Continuous Moisture Measurement During Pavement Foundation Construction: Laboratory Measurements, Isaac Esteban Zuniga

Open Access Theses & Dissertations

Moisture content directly affects all properties of subgrade materials. A rapid, continuous, and accurate technique to determine moisture content during subgrade construction is the next step needed to improve the mechanistic-based quality of pavement foundations. In this study, six geomaterials were compacted to standard/modified proctor specifications and subjected to laboratory measurements to study the variations in their electromagnetic and electric properties with moisture content. The relationships between the seismic modulus, unconfined compressive strength, lightweight deflectometer, and moisture content for the same geomaterials were also established. Large-scale replicate specimens were also compacted and subjected to numerous measurements. The dielectric constant measured …

Deep Submarine Infiltration Of Altered Geothermal Groundwater On The South Chilean Margin, Vincent J. Clementi, Yair Rosenthal, Samantha C. Bova, Elizabeth K. Thomas, James D. Wright, Richard A. Mortlock, Owen C. Cowling, Linda V. Godfrey, Laurel B. Childress, Ivano W. Aiello, Alejandro Avila, William Biggs, Christopher D. Charles, Anson H. Cheung, Kimberly Delong, Isabel A. Dove, Xiaojing Du, Emily R. Estes, Ursula Fuentes, Cristina García-Lasanta, Steven L. Goldstein, Anna Golub, Julia Rieke Hagemann, Robert G. Hatfield, Laura L. Haynes, Anya V. Hess, Nil Irvali, Yael Kiro, Minda M. Monteagudo, Jonathan E. Lambert, Chen Li, William M. Longo, Sarah Mcgrath, Hailey Riechelson, Rebecca S. Robinson, John Sarao

Graduate School of Oceanography Faculty Publications

Submarine groundwater discharge is increasingly recognized as an important component of the oceanic geochemical budget, but knowledge of the distribution of this phenomenon is limited. To date, reports of meteoric inputs to marine sediments are typically limited to shallow shelf and coastal environments, whereas contributions of freshwater along deeper sections of tectonically active margins have generally been attributed to silicate diagenesis, mineral dehydration, or methane hydrate dissociation. Here, using geochemical fingerprinting of pore water data from Site J1003 recovered from the Chilean Margin during D/V JOIDES Resolution Expedition 379 T, we show that substantial offshore freshening reflects deep and focused …

Shades Of Blue, Allison D. Thomas

Open Access Theses & Dissertations

"Shades of Blue" is a confessional narrative that explores the ways in which our lives can be covered in a tinge of color. The experiences that shaped this collection are marked by the calm powder blues and rough midnight blues that change the way we see and think about the world. This narrative work took on a confessional voice because of the autobiographical nature of confessional poetry. Like other confessional collections this work is an exploration of the self and the truth of life. This collection was constructed by employing various poetic devices and forms. Several poems take on correspondent …

Optimized Learning Using Fuzzy-Inference-Assisted Algorithms For Deep Learning, Miroslava Barua

Open Access Theses & Dissertations

For years, researchers in Artificial Intelligence (AI) and Deep Learning (DL) observed that performance of a Deep Learning Network (DLN) could be improved by using larger and larger datasets coupled with complex network architectures. Although these strategies yield remarkable results, they have limits, dictated by data quantity and quality, rising costs by the increased computational power, or, more frequently, by long training times on networks that are very large. Training DLN requires laborious work involving multiple layers of densely connected neurons, updates to millions of network parameters, while potentially iterating thousands of times through millions of entries in a big …

What Makes Gpcrs From Different Families Bind To The Same Ligand?, Kwabena Owusu Dankwah

Open Access Theses & Dissertations

G protein-coupled receptors (GPCRs) are the largest class of cell-surface receptor proteins with important functions in signal transduction and often serve as therapeutic drug targets. With the rapidly growing public data on three-dimensional (3D) structures of GPCRs and GPCR-ligand interactions, computational prediction of GPCR ligand binding becomes a practical option for high throughput screening and other experimental approaches during the beginning phases of ligand discovery. In this work, we set out to computationally uncover and understand the binding of a single ligand to GPCRs from several different families. We analyzed the sequences and 3D structures of GPCRs from various families …

Oil Particle Analysis Using Machine Learning And Holography Imaging, Daniel Cruz

Open Access Theses & Dissertations

Holographic cameras show potential as a sensor to monitor oil spills. Holographic cameras record the light interference from particles in a volume of space, producing an image called a hologram. Processing these holograms is known as hologram reconstruction. It produces a representation of particles located in three-dimensional space. These cameras can record precise shapes and sizes of particles in a volume of water. However, it is very time-consuming and resource-intensive to process the images. Most algorithms that perform particle analysis require the hologram reconstruction step. The well-documented hybrid method is one such algorithm. Machine learning is one possible technique that …

Direct Ink Write And Thermomechanical Characterization Of Thermoset Composites, Sergio Dante Favela

Open Access Theses & Dissertations

This research will be divided into two sections. The first section discusses direct ink writing and thermomechanical characterization for thermoset composites. The thermoset ink is prepared with fillers aiding the printing process by modifying the rheology of the ink and geometry retention by allowing for the part to have an initial UV cure step. Three specimen formulations with different weight percentages were printed by material extrusion in the shape of tensile specimens following ASTM standard D638 to characterize the mechanical properties at room temperature, 100â?? and 200â??. Furthermore, the ink resin was characterized through DSC, TGA, and rheology testing. The …

Natural Resources Management Framework For Agricultural Irrigation Systems Optimization, Juan Valentin Fernandez

Open Access Theses & Dissertations

Water scarcity has increased substantially in the last decades in many parts of the world, and it is expected to worsen due to the significant increase in global water withdrawals, intensive population growth, and climate change. Water is easily one of the most essential and invaluable global resources due to its many uses, such as drinking, industrial processes, and irrigation. The agriculture sector is one of the most significant water users globally, accounting for nearly 70% of global freshwater withdrawals. Cities and industries compete with the agriculture sector for water sources, producing alarming levels of stress and pollution in the …

Effects Of Eccentric Cycling On Blood Flow Patterns And Vascular Reactivity, Manuel Gomez

Open Access Theses & Dissertations

Decrease of blood flow to tissues, due to atherosclerotic plaque formation, produces mortality and morbidity outcomes. Vascular homeostasis depends in the direct interaction between blood flow and endothelial cells, known as endothelial sheer stress (ESS). In addition, turbulent flow, which can be measured by Reynolds number (Re), has been associated with decrease ESS. Eccentric exercise (ECC) has gained attention as a novel exercise modality that increases muscle performance without increasing metabolic demands; however, little is known about ESS during ECC. PURPOSE: To determine the effects of ECC cycling in blood flow patterns and vascular reactivity in young, healthy individuals. METHODS: …