We are upgrading the repository! A content freeze is in effect until December 6th, 2024 - no new submissions will be accepted; however, all content already published will remain publicly available. Please reach out to repository@u.library.arizona.edu with your questions, or if you are a UA affiliate who needs to make content available soon. Note that any new user accounts created after September 22, 2024 will need to be recreated by the user in November after our migration is completed.

Now showing items 1-20 of 108218

    • November 2024: Southwest Climate Outlook

      Climate Assessment for the Southwest (CLIMAS) (The University of Arizona (Tucson, AZ), 2024-12-03)
    • October 2024: Southwest Climate Outlook

      Climate Assessment for the Southwest (CLIMAS) (The University of Arizona (Tucson, AZ), 2024-11-04)
    • September 2024: Southwest Climate Outlook

      Climate Assessment for the Southwest (CLIMAS) (The University of Arizona (Tucson, AZ), 2024-09-30)
    • NASA Centennial Challenges: A Comparison of the Flagsuit 2007 and 2009 Gloves with NASA EMU Glove, and Further Developments

      Homer, Peter; Tresch, Trent; Flagsuit LLC; University of Arizona Center for Human Space Exploration (Center for Human Space Exploration - The University of Arizona (Tucson, AZ), 2024-10)
    • Test Report: Flagsuit’s Full Spacesuit Pressurization

      Homer, Peter; Tresch, Trent; Flagsuit LLC; University of Arizona Center for Human Space Exploration (Center for Human Space Exploration - The University of Arizona (Tucson, AZ), 2024-10)
    • Understanding Spacesuit Glove Torques

      Homer, Peter; Tresch, Trent; Flagsuit LLC; University of Arizona Center for Human Space Exploration (Center for Human Space Exploration - The University of Arizona (Tucson, AZ), 2024-10)
    • Utilizing a Reminder To Improve Childhood Obesity Screening in Native American Children

      Kiser, Lisa H.; Newton, Tarnia; Gutierrez, Kirby Ann; Nechiporenko, Claire (The University of Arizona., 2024)
      Improving the screening and management of childhood obesity among Native American children is critical in addressing the significant health disparities in this population. This quality improvement project implemented a pediatric obesity screening reminder and provided targeted education to healthcare providers. Childhood obesity is a significant public health concern, with the Native American population being disproportionately affected. The quality improvement project measured the impact of the two interventions through pre- and post- intervention self-administered questionnaires and chart audits. The findings showed a slight increase in the detection rate of obesity at well-child visits and increased referral to the registered dietitian (RD). However, there were issues, such as culture, practicality, and patients’ involvement. The outcomes of the project demonstrated that the interventions were effective in increasing the rate of obesity screening and RD referral, but highlighted the need for another PDSA cycle with modifications. The results of the project revealed that childhood obesity is not easily manageable, especially where the community is culturally diverse. A higher rate of declined RD referrals further necessitates enhanced engagement strategies such as improved patient education, motivational interviewing, and family involvement. Subsequent endeavors should include collaborating with obesity specialists and community resources. Providing walk-in or same day access to the RD and increased telehealth services can also assist in navigating logistical challenges that may hinder families from receiving initial and ongoing nutritional education.
    • Understanding the Stellar Mass Growth and Quenching of Massive Galaxies

      Rieke, Marcia; Woodrum, Charity; Kennicutt, Robert; Hainline, Kevin; Egami, Eiichi; Straughn, Amber (The University of Arizona., 2024)
      One of the first remarkable studies in the field of galaxy evolution determined that there are two distinct types of galaxies based on their morphologies: spirals and ellipticals. We’ve since found that spirals tend to be blue, lower-mass, gas-rich, star-forming galaxies. On the other hand, ellipticals tend to be red, massive, gas-poor, quiescent galaxies. This “galaxybimodality” is still being studied today, as we have many unanswered questions about the origin of its existence. For example, how do star-forming galaxies grow in stellar mass? And what physical processes are responsible for the cessation of star formation in quiescent galaxies? In this dissertation, I explore the stellar mass growth and quenching of massive galaxies. I use a sample of high redshift (6.7 < z < 13.2) galaxies to study how varying the initial mass function (IMF) changes their inferred stellar masses, showing that a redshift-dependent IMF infers reduced stellar masses in the high redshift universe. Next I explore the heterogeneity ofmolecular gas reservoirs in quiescent galaxies, showing that quiescent galaxies with detectable gas reservoirs have evidence of secondary bursts of star formation, likely driven by gas-rich minor mergers. Furthermore, I explore the connection between active galactic nuclei (AGN) activity and suppressed star formation, and show that even with high quality data and gold-standard star formation history (SFH) modeling, it is difficult to find observational evidence of AGN-driven quenching. Finally, I investigate the star formation and chemical enrichment histories of massive, quiescent galaxies as a function of their structural and environmental properties, finding that galaxies are quenched through a complex interplay of physical mechanisms.
    • Undergraduate Research and Students with Learning Disabilities: Tensions Between the Exclusivity And Promise Of The Experience

      Rhoades, Gary; Mason, Laurel; Kraus, Amanda; Haeger, Heather (The University of Arizona., 2024)
      Undergraduate Research (UR) is a high-impact practice that results in positive outcomes for participants, such as improved academic skills and intellectual development as well as higher graduation rates and graduate school attendance. This research project compares the UR participation patterns of students with learning disabilities (LD) and their experiences engaging in UR settings to the signals displayed on UR websites. The project utilizes a mixed-methods design comprising four data sources and several analytical methods: content analysis of UR websites, quantitative analysis of institutional UR course data, and quantitative and qualitative analysis of survey data from 50 LD students and interview data from 4 LD students. UR websites feature text and imagery associated with prestige (achievement and competition), personal investment (commitment and unique benefits), and STEM fields. Students’ perceptions of UR participants and their course taking patterns mirrored those signals in some ways but not others. Students viewed UR as an activity for smart students who are involved and good at school, and the majority of actual participants were high achieving. Survey and interview respondents corroborated the benefits listed on UR websites. While participants with LD were underrepresented as UR participants, they reported positive experiences in UR settings, Their LD impacted their work to some extent, yet none disclosed their disability status or requested accommodations to avoid the stigma associated with learning disabilities. Non-participants with LD reported a lack of awareness, time, and confidence as the main reasons for not participating. These findings indicate the need to revise and expand the signals about UR to define it as an active learning process for students in all fields of study, not just STEM. Website content and outreach should specifically include representation of students who do not fit the traditional, high achieving norm. Additionally, faculty and staff should receive training on bias related to disability, Universal Design for Learning to create a more inclusive experience for LD students. Lastly, other university personnel and peer ambassadors should be trained to promote UR experience to a wider range of students.
    • Transitional Shock Wave Boundary Layer Interactions and Surface Heat Transfer on a Hollow-Cylinder/Flare at Mach 5

      Threadgill, James A. S.; Roskelley Garcia, Alejandro Hamilton; Little, Jesse C.; Craig, Stuart A. (The University of Arizona., 2024)
      A hollow-cylinder model with a 15◦ half-angle flare is tested at Mach 5 for fivedifferent Reynolds numbers ranging from 4.10 × 105 < ReL < 1.62 × 106 . The laminar boundary layer separates due to the shock-induced pressure rise and reattaches downstream of the flare corner. Reattachment is associated with transition to turbulence and the formation of hot streaks. Surface heat transfer is measured using a FLIR infrared camera and five custom Ahmic thin-film gauges while pressure fluctuations are measured with two Kulites and three PCBs. For sufficiently transitional cases, heat transfer reaches a maximum near reattachment and moves upstream for increasing Reynolds number. Steady heat transfer trends along x/L between IR and thin-film gauges match qualitatively and the discrepancies between each diagnostic are discussed. In the premultiplied pressure spectra, two peaks were identified at f ≈ 14 kHz and f ≈ 100 kHz and their potential sources are discussed. Unsteady heat transfer measurements are discussed in regards to their viability for detecting reattachment and transition.
    • Traditional and Novel Hippocampally Mediated Cognitive Tasks in Typically and Atypically Developing Youth

      Edgin, Jamie O.; Lovos, Annalysa Kelly; Tzuyin Lai, Vicky; Andrews Hanna, Jessica (The University of Arizona., 2024)
      The hippocampus is known to help in the recall of associations and episodes from the past. This is a form of mental representation, and other forms of mental representation may be associated with the hippocampus as well. Five candidate complex cognitive functions involving suspected hippocampal involvement are discussed in the theoretical part of this dissertation, and a case is made for integration of the hippocampus into developmental theory. As the hippocampus is a gradually developing structure, we must consider how its slow course affects the development of cognitive functions that seem to involve it, at various stages. Following on this call to update developmental theory with integration of the hippocampus to account for a broad range of representational cognitive processes in Chapter 2, I introduce preliminary models in Chapter 3 in which I seek to test this for the case of creativity. Forty-three youth participated in cognitive data collection (21 with Down syndrome), and 38 of these participants (18 with Down syndrome) also underwent MR imaging. In modeling creativity as a function of memory and executive control, I seek to discover the extent to which memory contributes to creativity. Significant results were found for the group with Down syndrome, with associative memory and executive function emerging as predictors of creative performance. Surprisingly, these associations were absent in the typically developing group, for which the model and the variables were not significant. I also predicted that creativity and adaptive behavior would be positively correlated as representational functions that seem to have mnemonic contributions. Results included a positive correlation for creativity and adaptive behavior in the group with Down syndrome, while these functions were negatively correlated in the typically developing sample. In Chapter 4 I turn to examining the hippocampus itself. Previous studies have examined the hippocampus at the level of its subfields in adults with Down syndrome but not in youth, and while automated segmentation studies have been done with typically developing youth, there is little information on whether automated and manual methods agree for this age group. In the current study, subfield segmentations were made for youth with Down syndrome and typically developing youth using both methods in order to determine what group differences characterize the development of subfields, how well the methods concur with typical and atypical samples, and whether specific subfields relate to specific cognitive functions. The two methods showed small to moderate correlations across the subfields tested. The anterior hippocampus was correlated with associative memory in both groups and the CA1 subfield with adaptive behavior in both groups. Creativity did not show a correlation with hippocampal subfield volumes. Altogether group differences were more profound than expected in the studies described in chapters 3 and 4. Creativity, putatively linked to the hippocampus in Chapter 3, was well described by memory and executive control in the DS sample only. Possible explanations for this difference and the directionality difference between groups in the creativity to adaptive behavior study are offered. In Chapter 4, volumetric results largely supported hypotheses, but the methods produced less similar segmentations than anticipated, suggesting that continued caution is warranted in using automated methods with youth and special populations. Memory was similarly correlated with anterior hippocampus in both groups, but CA1 was only significantly related to CA1 in the DS group after correction, and creativity as a whole bore no significant relationships to subfields, although the creativity domain of flexibility was significantly related to CA and DG subfields in typically developing youth. In total, this dissertation explored hippocampal development and the concurrent development of “hippocampal” representational skills. More work is needed in order to understand how the developing hippocampal subfields interact with other brain regions and networks, how this changes across developmental time and how it may differ in various models of hippocampal impairment.
    • The Voices of American Female Composers: A Study of Daughters by Lori Laitman and Love Sweet by Jennifer Higdon for Voice and Piano Trio

      Lin, Fanya; Hwang, Yukyung; Mugmon, Matthew S.; Dauphinais, Kristin E T (The University of Arizona., 2024)
      Lori Laitman and Jennifer Higdon are esteemed American female composers in contemporary classical music. The two composers’ works include modern compositional techniques, such as unexpected harmonic progressions, unconventional structures, and the use of highly specific musical directions in areas such as dynamics and pedaling. Their works also contrast with each other in several ways: Laitman frequently changes meter to fit the natural flow of the text in vocal works, while Higdon uses different meters to delineate sections; Higdon’s textures tend to be thin compared to Laitman’s; and in creating their unique sound worlds, Laitman tends to focus more on harmonic complexity, while Higdon invests in extended techniques. This document provides an analysis of two works by these composers: Daughters by Laitman and Love Sweet by Higdon. The two compositions are selected for their unusual instrumentation of piano trio and female voice, putting into relief the similarities and differences between the two composers and the compositional tools each employs. This document offers detailed analyses of these works, with an emphasis on how they reflect a distinctly feminine context and perspective through stories of love and motherhood. The analysis focuses on recurring thematic material, text painting, structure, texture, and specific musical directions. This study thus provides context and insight for future performances of these works. The resulting comparison of these two composers’ vocal chamber works paves the way to a deeper understanding of their styles in a contemporary context.
    • The Impact of Extreme Weather on Winter Wheat: Evidence from the United States

      Rahman, Tauhidur; Tronstad, Russell; Chokka, Sravani Sandhya; Aglasan, Serkan   (The University of Arizona., 2024)
      The impact of climate on winter wheat yields is analyzed across the United States, using county level data spanning from 1974 to 2023 for 25 states. Using county and time fixed effect models, we studied the effect of temperature and precipitation for the planting, growing and harvesting phases of winter wheat. By using standardized z-scores, the study measures the impact of extreme climate deviations on crop yield variability. Findings highlight that moderate temperatures and precipitation are beneficial for winter wheat growth. The extreme climatic conditions, especially extreme heat, cold and rainfall have a significant effect on yields. Warmer conditions during the planting season increase the yields but excessive heat during the planting and harvesting seasons reduces yield. Moderate rainfall increases crop production in all stages but extreme rainfall results in yield reductions. The analysis also found that excluding outlier counties in California and Washington did not significantly alter the signs of the estimated coefficients.Key words: extreme climate, winter wheat yield, Z-score
    • The Optimal Transfer Pathway Problem: Optimizing Course Equivalency and Prerequisite Compliance for Seamless Transfer Between Community Colleges and Universities

      Heileman, Gregory; Akbarsharifi, Roxana; Tharp, Hal S.; Wu, Micheal (The University of Arizona., 2024)
      This thesis delves into the Optimal Transfer Pathway (OTP) problem, a pivotal computational challenge in higher education that aims to create efficient transfer roadmaps for students transitioning from community colleges to universities. The OTP problem seeks to minimize total credit hours while ensuring students can earn both associate’s and bachelor’s degrees. We begin by analyzing the computational complexity of the OTP problem, revealing it to be N P -complete and highlighting the inherent difficulty of solving large-scale instances.To tackle this complexity, we first examine the Integer Quadratic Programming (IQP) ap- proach. This approach guarantees an optimal solution but often requires substantial com- putational time, especially for large-scale datasets. This limitation makes the IQP algorithm impractical for real-time applications in student advising and academic planning. In response to these challenges, we introduce the Iterative Course Swapping (ICS) algorithm, a heuristic approach that efficiently generates near-optimal solutions. The ICS algorithm seamlessly integrates degree requirements from both institutions, available courses, articula- tion agreements, and prerequisite information. It produces valid transfer pathways that sat- isfy all degree requirements, respect course prerequisites, and maintain the proper sequence of community college and university courses. Importantly, the ICS algorithm’s time com- plexity is significantly improved over the IQP approach. To evaluate the performance and computational efficiency of both the ICS and IQP algo- rithms, we conducted experiments using real-world data from Pima Community College and the University of Arizona. The results demonstrate that both algorithms significantly improve credit transfer efficiency, leading to higher credit retention rates and reduced time to degree completion. The ICS algorithm excels in computational performance, generating transfer pathways more quickly and effectively than previous approaches, particularly for large datasets. While the IQP algorithm guarantees an optimal solution, developing a trans- fer plan often requires more time, rendering it impractical for large-scale datasets. This trade- off between optimality and computational efficiency highlights the potential of the ICS algo- rithm for real-world applications, where timely solutions are crucial for student advising and academic planning. This research contributes to developing more equitable and efficient transfer systems, ulti- mately facilitating smoother transitions between community colleges and universities. The broader implications include promoting higher graduation rates and reducing student finan- cial burdens. This work lays the foundation for future research in optimizing educational pathways and demonstrates the value of applying computational approaches to complex ed- ucational challenges.
    • The Image of the Seminarian in Nineteenth-Century Russian Literature

      Jens, Benjamin; Avdeeva, Diana Stanislavovna; Lucey, Colleen; Gordienko, Anastasia (The University of Arizona., 2024)
      National literature has long been considered a reflection of a state’s significance andlegitimacy; indeed, fiction participates in and contributes to the myth of the nation. As Benedict Anderson has shown, national literature helps shape the nation. In his scholarship, he defines the nation as an imagined community of people who seem to represent a homogenous group despite the actual inequality and diversity of the population. In line with Anderson, Sarah Corse remarks that a nation is “marked by a distinctive set of values, tensions, myths, and psychological foci, that produces in turn a certain readily identifiable national character.” Julia Wright argues that national literature becomes one of the most effective spreaders of such images. However, instead of portraying a nation as a heterogeneous and diverse community of various social classes, religions, and cultures, national literature deprives the population of its diversity and its complexities. The Russian writers of the 1830s onward struggled to define “Russianness” and Russian identity, and their debates on the subject took place through the medium of their fiction. Preoccupied with probing the essence of “Russianness,” literary elites began to examine national “types,” giving particular attention to the nation’s nascent middle classes: merchants, governesses, teachers, and seminarians. The lattermost, seminarians, would come to constitute a complex source of Russianness. Though eventually ascended to a place among the Russian intelligentsia, their origins were of the middle classes. Reflecting the tensions and social upheaval inherent in the rise of Russia’s new middle-class estate, the portrayal of seminarians in the literature of the day was often of a disparaging tone. In spite of this, the significance of the marginalized estate continued to its rise to prominence in the nineteenth century. The evolution in depictions of seminarians in Russian literature throughout the period reflects the course of public opinion, with some significant exceptions. This thesis analyzes selected works by two influential writers of the period, Gogolʹ’s Vii (1835) and Khvoshchinskaia’s The Baritone (1859). These works were chosen due to their extensive and opposing descriptions of seminarians. Close reading of these selected works allows one to scrutinize the shift in image of seminarians in Russian literature and culture between 1830 and 1860. Chapter I of this thesis delves into Nikolai Gogolʹ’s novella and explores how the writer depicted seminarians in demeaning and derogatory terms and examines the characteristics he ascribes to these students. Accordingly, this thesis posits that Gogolʹ illustrated a perceived clash between the seminarians’ expected religiosity and their failure to meet these expectations via their personal behavior. Chapter II will then investigate a depiction of the estate as portrayed by Nadezhda Khvoshchinskaia (pseudonym V. Krestovskii) in The Baritone, written two decades later. In her work, the estate is portrayed in an arguably idealized manner, reflecting the shift in seminarians’ image as they increasingly came to be viewed as a reflection of potential futures for a changing Russian society. Thus, it becomes possible to trace certain changes in the portrayal of the seminarians against the backdrop of the historical events.
    • The Hidden Costs of Complexity: Using Causal Inference and Double Machine Learning to Uncover Important Relationships in Higher Education Data Sets

      Heileman, Gregory; Akbarsharifi, Melika; Tharp, Hal; Wu, Hongyi Michael (The University of Arizona., 2024)
      Graduation rates are a critical performance metric for higher education institutions, reflecting both student success and the effectiveness of educational programs and policies. Among various influencing factors, curricular complexity has emerged as a significant determinant. This study rigorously estimates the causal effect of curricular complexity on four-year graduation rates across 26 universities in the United States. To achieve this, we employ a multifaceted methodological framework integrating advanced causal inference techniques. We calculate the Generalized Propensity Score (GPS) to adjust for confounding variables and predict the treatment variable using Hierarchical Linear Modeling (HLM), accounting for the nested data structure (students within universities). The data is stratified into quintiles based on GPS values to ensure balanced comparison groups. Within each quintile, Double Machine Learning (DML) is utilized to estimate the causal effect of curricular complexity on four-year graduation rates, leveraging logistic regression for the binary outcome variable (four-year graduation) and linear regression for the continuous treatment variable (curricular complexity). Additionally, we construct a causal network using the PC Algorithm, refined by domain experts for plausibility and relevance. The Bayesian Information Criterion (BIC) score is used to select the optimal adjusted network. Sensitivity analysis assesses the robustness of our findings against potential unmeasured confounding factors. Our results indicate a significant causal relationship between curricular complexity and four-year graduation rates. Specifically, higher curricular complexity is associated with lower graduation rates, with an estimated causal effect of -3.879% per unit increase in complexity. Sensitivity analysis confirms the robustness of these findings, with a new effect estimate of -3.763% per unit increase in complexity after accounting for potential unobserved confounders. Detailed analysis across quintiles showed consistent results, indicating that higher curricular complexity within each stratified group reduces the likelihood of graduating in four years. The Average Treatment Effect (ATE) across quintiles ranged from -7.5% to -21.5% per unit increase in complexity. The implications of this study are far-reaching. By highlighting the impact of curricular complexity, our findings can inform university policies aimed at optimizing curricula to enhance student success. Moreover, the methodological framework presented here offers a comprehensive approach to causal inference in educational research, combining GPS, HLM, DML, and network analysis to provide robust and actionable insights.
    • The Evolution of Chinese Violin Music in the 20th Century

      Kantor, Timothy; Lu, Zhuoyu; Alejo, Philip; Roth, Lauren (The University of Arizona., 2024)
      Chinese violin music experienced significant development in the 20th century, mirroring the nation's cultural, political, and social transformations. My aim is to explore and highlight this evolution through four representative works: Sicong Ma's Rondo No. 1, Yongcheng Qin's Tone Poem at the Seashore, Gang Chen's Sunshine on Tashkurgan, and Pei Lu's Flute and Drum at Sunset. The study of these works provides insight into how Chinese composers adapted and transformed Western musical influences to create a distinctive Chinese violin repertoire. By analyzing these works, one can gain a deeper understanding of the impact of historical events and cultural changes on Chinese composers and their music
    • The Feasibility of Virtual Tai Chi Easy for Registered Nurses

      Taylor-Piliae, Ruth; Felion, Carlie Michelle; Rainbow, Jessica; Skiba, Meghan (The University of Arizona., 2024)
      Background: Registered nurses (RNs) are at risk of experiencing elevated levels of stress and burnout and are leaving the profession in droves. Considering the ever-expanding nursing shortage and the aging of the population in the United States (US), high turnover rates and nurses leaving the profession are highly problematic. Nurses experience numerous barriers to self-care or attending wellness classes due to work schedules, working off-shifts, and competing demands. Tai Chi Easy™ (TCE) is a safe, adaptable, and low-barrier form of mind-body exercise that can be delivered virtually, which increases accessibility. Aims: This dissertation study aimed to determine whether a virtual TCE exercise program was feasible, acceptable, and appropriate self-care intervention for RNs and to describe within-group changes in occupational stress, posttraumatic stress, somatic symptoms, burnout, transition shock, and intention to quit. Methods: Several nursing and non-nursing theories and concepts underpinned the single-group pre-post-intervention study design. RNs were recruited via postcards and emailed study flyers. Participants engaged in an asynchronous, virtual 1-hour TCE class twice a week for six weeks and practiced 10 minutes four days per week for six weeks. Study measures were collected using REDCap and included recruitment, retention, intervention adherence and safety, demographics, Life Events Checklist for DSM-5 (LEC-5), Adverse Childhood Experiences Questionnaire (ACE-Q), PTSD Checklist for DSM-V (PCL-5), Somatic Symptom Questionnaire (SSQ-8), Maslach Burnout Inventory-Health Services Survey (MBI-HSS), and the English version of the Nurses’ Intention to Quit Scale (NITQ). Data analysis using Microsoft Excel software included descriptive statistics and paired t-tests. 14 Results: A total of 18 RNs enrolled, and 14 RNs (mean age=51±16, 86% female, 71% employed full-time) completed the study. Participants reported that the TCE intervention was acceptable (75%), appropriate (75%) and feasible (73%). However, intervention adherence was inadequate (65% TCE classes, 74% independent practice). No safety issues were reported during the study. Pre-post intervention changes in symptoms for PCL-5 (p=0.32), SSQ-8 (p=0.22), MBI (p>0.50, all domains), and NITQ (p=0.49) were not statistically significant. Study attrition was 22% (n=4) due to participant-reported time constraints. Conclusion: With some modifications, virtual TCE training may be a feasible mind-body self-care intervention for RNs.
    • The Effect of Extreme Weather on Mortality: Evidence from the United States

      Rahman, Tauhidur Dr; Tronstad, Russell Dr; Thodeti, Pavan Kalyan; Aglasan, Serkan Dr (The University of Arizona., 2024)
      This paper estimates the impact of extreme weather on mortality rates associated with 5 specific causes and total mortality across the counties in the United States, period of 1979-2002. Using the county-level panel data I explored how significantly the deviations in the temperatures and precipitation impact mortality rates specifically cardiovascular, respiratory, neoplasms, transport injuries, self-harm and interpersonal mortalities. By using a comprehensive methodological framework that points to the standardized z-scores to identify the significant weather anomalies, uses average temperature bins to explore the non-linear effects and sets the temperature thresholds to see the consequences of extreme heat and cold. This study enhances our understanding of climate health. Key findings show that average temperature ranges between <0◦F -60◦F have a significant impact on total and cardiovascular mortalities. The extreme maximum and minimum temperatures are significantly associated with motor vehicle accidents, likely due to tire blowouts and wet ice road conditions. This research contributes to the understanding of how extreme weather affects health, offering important insights into how such conditions impact mortality. .
    • SRSaRa: A SaRa-Inspired Modification of Pettitt's Test for Non-Parametric Change-Point Detection

      Hao, Ning; Kennedy, Elliot; Tang, Xueying; Niu, Yue (The University of Arizona., 2024)
      The Signed-Rank Screening and Ranking Algorithm or SRSaRa is a non-parametric change-point detection technique that is based on a SaRa-like process with a diagnostic function inspired by Pettitt's test. Possessing two modes, `LM' and `MAX' for single and multiple change-point detection respectively, the SRSaRa is flexible and robust to outliers through its diagnostic function. The SRSaRa's `MAX' mode for single change-point detection outperforms Pettitt's test in several scenarios while maintaining Type-I error control, while the SRSaRa's `LM' mode is capable of controlling FDR at the desired level and shows promise as a non-parametric multiple change-point detection technique.