Leishmania Inhibitors, Bill J. Baker, Nerida G. Wilson, Dennis E. Kyle, Anne-Claire D. Limon

USF Patents

In one aspect, methods and compositions for treating parasitic diseases, for example, leishmaniasis.

Using Quantitative Methods To Investigate Student Attitudes Toward Chemistry: Women Of Color Deserve The Spotlight, Guizella A. Rocabado Delgadillo

USF Tampa Graduate Theses and Dissertations

The field of Chemistry Education Research (CER) has been interested in understanding the reasons why students struggle in organic chemistry courses. Reports show that students perceive the material as difficult and have trouble keeping pace with the volume of content taught within the course. Beyond these and other explanations of why students struggle in organic chemistry are affective factors, such as attitude toward chemistry, that influence students’ success and retention in this course. Studies have shown that in many instances, underrepresented groups of students report less positive attitudes than their peers. Of greater concern are the students representing multiple marginalized …

Resilience And Burnout In Second- And Third-Year Medical Students, Chad E. Whistle

USF Tampa Graduate Theses and Dissertations

Between their second- and third-years of medical school, students must pass the United States Medical Licensing (USMLE) Step 1 exam. This high-stakes exam is critical to the overall success of medical students; the score has been a determining factor for the student’s residency training and specialty choice. Because medical students are faced with the burden of studying and concept mastery of content for USMLE Step 1, concurrent to ongoing coursework in the medical school curriculum, students may develop symptoms of burnout and be ill-prepared to remain resilient. This study investigated the extent of the relationship between burnout and resilience in …

Crow's Nest, January 25, 2021, Crow's Nest Staff

Crow's Nest

The January 25, 2021, issue of the Crow's Nest.

The Weekly Challenger, January 21, 2021, The Weekly Challenger, Et Al

Weekly Challenger Newspaper Collection

The January 21, 2021, issue of The Weekly Challenger.

Persistence Like A Mother: Nursing The Narrative Toward Doctoral Completion In English Education—A Poetic Autoethnography, Krista S. Mallo

USF Tampa Graduate Theses and Dissertations

In this poetic autoethnography, exploration of the feeling and the experience of developing persistence as an English Education doctoral student mother is expressed through analysis of artifacts gathered over a 20-year period inclusive of the years of graduate study, becoming and remaining an English teacher and professor, while paralleling the mothering years. A metaphorical parallel is established between breastfeeding and completing the doctoral degree, thus the phrase "nursing the narrative." Expression is storied through poetry in the voices of the persona of the English teacher, the mother, the doctoral student, and the intersectionality of the roles of each as the …

Ay 2020/2021 Fs Meeting Minutes, 2021-01-20, Faculty Senate

Faculty Senate Archives

No abstract provided.

Crow's Nest, January 18, 2021, Crow's Nest Staff

Crow's Nest

The January 18, 2021, issue of the Crow's Nest.

U.S. Faculty Salary & Satisfaction Report, Prof Cihan Cobanoglu, Khuraman Shahtakhtinskaya, Luana Nanu, Faizan Ali, Trishna Mistry, Anudari Munkhtuya

University of South Florida (USF) M3 Publishing

This survey was conducted to analyze the general job satisfaction and compensation trend and create a national benchmarking report for salary and other benefits that faculty members receive in the U.S. Some may say job satisfaction is an elusive, even mythical concept, and an abundance of research has been dedicated towards it. The current report mainly focused on job satisfaction amongst academic staff in the U.S. We were particularly interested in understanding both the general level of satisfaction and different factors that seemed to account for satisfaction and dissatisfaction. In addition, we were interested to see if there was any …

Ay 2020/2021 Sec Meeting Minutes, 2021-01-13, Faculty Senate

Faculty Senate Archives

No abstract provided.

Computing For Numeracy: How Safe Is Your Covid-19 Social Bubble?, Charles Connor

Numeracy

The COVID-19 pandemic has led many people to form social bubbles. These social bubbles are small groups of people who interact with one another but restrict interactions with the outside world. The assumption in forming social bubbles is that risk of infection and severe outcomes, like hospitalization, are reduced. How effective are social bubbles? A Bayesian event tree is developed to calculate the probabilities of specific outcomes, like hospitalization, using example rates of infection in the greater community and example prior functions describing the effectiveness of isolation by members of the social bubble. The probabilities are solved for two contrasting …

Review Of Social Workers Count: Numbers And Social Issues By Michael Anthony Lewis, Michael T. Catalano

Numeracy

Lewis, Michael Anthony. 2017. Social Workers Count: Numbers and Social Issues. 2019. New York: Oxford University Press. 223 pp. ISBN 978-019046713-5

The numeracy movement, although largely birthed within the mathematics community, is an outside-the-box endeavor which has always sought to break down or at least transgress traditional disciplinary boundaries. Michael Anthony Lewis’s book is a testament that this effort is succeeding. Lewis is a social worker and sociologist with an impressive resume, author of Economics for Social Workers, co-editor of The Ethics and Economics of the Basic Income Guarantee, and member of the faculty at the Silberman School …

Review Of Innumeracy In The Wild: Misunderstanding And Misusing Numbers By Ellen Peters, Gizem Karaali

Numeracy

Ellen Peters’s new book Innumeracy in the Wild: Misunderstanding and Misusing Numbers (Oxford University Press, 2020) is a whirlwind tour of psychological research on numeracy and its interactions with decision-making. The book is packed full of convincing arguments about the impact of numeracy and innumeracy on people's decisions and life outcomes, piles of supporting evidence and relevant references, and detailed expositions of multitudes of research results. Thus, it can serve the motivated reader well as a comprehensive literature review of psychologically oriented research on numeracy and decision-making.

How Social Workers Count: Numbers And Social Issues Came To Be, Michael A. Lewis

Numeracy

Lewis, Michael Anthony. 2019. Social Workers Count: Numbers and Social Issues (New York: Oxford University Press) 224 pp. ISBN 978-0190467135.

This essay introduces Social Workers Count: Numbers and Social Issues by Michael Anthony Lewis. Inspired by the seminal work of Bennett and Briggs, Lewis shares how he came to write a math book for social workers to meet new demands as the field has developed to include more quantitative concepts. The result is a book that may be of interest to many in the quantitative reasoning movement in the social sciences and beyond.

Reflections On Innumeracy In The Wild, Ellen M. Peters

Numeracy

Peters, E. (2020). Innumeracy in the Wild: Misunderstanding and Misusing Numbers. (New York, NY: Oxford University Press) 315 pp. ISBN 978-0190861094

This piece briefly introduces and excerpts Innumeracy in the Wild: Misunderstanding and Misusing Numbers, written by Ellen Peters and published by Oxford University Press. Through a state-of-art review of the literature, the book explains how numeric ability supports the quality of the decisions people make and the life outcomes they experience. It presents three ways that people can be good or bad with numbers and how each of these numeric competencies matter to decision making.

Using Covid-19 Vaccine Efficacy Data To Teach One-Sample Hypothesis Testing, Frank Wang

Numeracy

In late November 2020, there was a flurry of media coverage of two companies’ claims of 95% efficacy rates of newly developed COVID-19 vaccines, but information about the confidence interval was not reported. This paper presents a way of teaching the concept of hypothesis testing and the construction of confidence intervals using numbers announced by the drug makers Pfizer and Moderna publicized by the media. Instead of a two-sample test or more complicated statistical models, we use the elementary one-proportion z-test to analyze the data. The method is designed to be accessible for students who have only taken a …

Crow's Nest, January 11, 2021, Crow's Nest Staff

Crow's Nest

The January 11, 2021, issue of the Crow's Nest.

Negative Performance Feedback And The Self-Regulatory Benefits Of Mindfulness, Jeremiah Slutsky

USF Tampa Graduate Theses and Dissertations

Past research on negative performance feedback (NPF) has found that self-regulation is key to buffering against negative well-being and performance outcomes. Using feedback intervention theory and mindful self-regulation theory as framework, this study investigated the regulatory effects of mindfulness following the delivery of NPF. Specifically, the relationships between NPF and changes in self-esteem, negative affect, and task performance were examined, as well as the moderating effects of mindfulness on these relationships. The sample consisted of 164 undergraduate students who participated in the virtual experiment in exchange for course credit. Results from the study found that there was no time by …

The Weekly Challenger, January 7, 2021, The Weekly Challenger, Et Al

Weekly Challenger Newspaper Collection

The January 7, 2021, issue of The Weekly Challenger.

Analysis Of The Self-Directed Learning Readiness Of New Graduate Registered Nurses, Denise Hain

USF Tampa Graduate Theses and Dissertations

Self-directed learning readiness is the level of ability and willingness to manage one’s own learning. Research has been conducted on the self-directed learning readiness of both student nurses and professional nurses. However, research has not expanded to focus on the self-directed learning readiness of new graduate Registered Nurses entering the workforce. The purpose of this study was to identify the self-directed learning readiness of new graduate Registered Nurses entering the workforce in a hospital setting. The study examined their self-directed learning readiness profile; the differences in scores based on nursing degree, nursing program, and age; and the differences in scores …

Preparedness, Planning, And Advances In Operational Response, David G. Westerholm, Cameron H. Ainsworth, Christopher H. Barker, Peter G. Brewer, John W. Farrington, Dubravko Justic, Vassiliki H. Kourafalou, Steven A. Murawsk, Helena M. Solo-Gabriele

Marine Science Faculty Publications

During the last 50 years, the numbers and sizes of oil spills have been significantly reduced through prevention. But spills still occur, and it is critical to prepare for these events through planning and exercises. Operational decisions are designed to expedite cleanup and minimize overall impacts, yet they often involve complex trade-offs between a multitude of competing interests. It is imperative to apply the best technology and science when events occur. However, while planning and response tactics have evolved over time, determining what may be most at risk is often confounded by sparse background data, modeling limitations, scalability, or research …

Impacts Of Petroleum, Petroleum Components, And Dispersants On Organisms And Populations, Steven A. Murawski, Martin Grosell, Cynthia Smith, Tracey Sutton, Kenneth M. Halanych, Richard F. Shaw, Charles A. Wilson

Marine Science Faculty Publications

Following the Deepwater Horizon blowout, oil, degraded oil, oil mixed with dispersants, and management responses to the spill affected a variety of Gulf of Mexico organisms. This review provides examples of various documented impacts, common patterns, and trends across organisms and/or their environments, and discusses future implications as well as directions for future research. Organism effects are generally characterized as lethal and sublethal. Sublethal can be short term, long term, or permanent and multigenerational. We present individual examples of effects on behavioral response, olfaction, vision, cardiac function, and gene shift, based on research done in laboratories, mesocosm settings, and the …

Nasa's Surface Biology And Geology Designated Observable: A Perspective On Surface Imaging Algorithms, Kerry Cawse-Nicholson, Philip A. Townsend, David Schimel, Ali M. Assiri, Pamela L. Blake, Maria Fabrizia Buongiorno, Petya Campbell, Nimrod Carmon, Kimberly A. Casey, Rosa Elvira Correa-Pabón, Kyla M. Dahlin, Hamid Dashti, Philip E. Dennison, Heidi Dierssen, Adam Erickson, Joshua B. Fisher, Robert Frouin, Charles K. Gatebe, Hamed Gholizadeh, Michelle Gierach, Nancy F. Glenn, James A. Goodman, Daniel M. Griffith, Liane Guild, Christopher R. Hakkenberg, Eric J. Hochberg, Thomas R.H. Holmes, Chuanmin Hu, Glynn Hulley, Karl F. Huemmrich, Raphael M. Kudela, Raymond F. Kokaly, Christine M. Lee, Roberta Martin, Charles E. Miller, Wesley J. Moses, Frank E. Muller-Karger, Joseph D. Ortiz, Daniel B. Otis, Nima Pahlevan, Thomas H. Painter, Ryan Pavlick, Ben Poulter, Yi Qi, Vincent J. Realmuto, Dar Roberts, Michael E. Schaepman, Fabian D. Schneider, Florian M. Schwandner, Shawn P. Serbin, Alexey N. Shiklomanov, E. Natasha Stavros, David R. Thompson, Juan L. Torres-Perez, Kevin R. Turpie, Maria Tzortziou, Susan Ustin, Qian Yu, Yusri Yusup, Qingyuan Zhang

Marine Science Faculty Publications

The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted Observable” (DO). The SBG DO is based on the need for capabilities to acquire global, high spatial resolution, visible to shortwave infrared (VSWIR; 380–2500 nm; ~30 m pixel resolution) hyperspectral (imaging spectroscopy) and multispectral midwave and thermal infrared (MWIR: 3–5 μm; TIR: 8–12 μm; ~60 m pixel resolution) measurements with sub-monthly temporal revisits over terrestrial, freshwater, and coastal marine habitats. To address the various mission design needs, an SBG Algorithms Working Group of multidisciplinary researchers has been formed to …

Uis Commission On Volcanic Caves Newsletter, No. 77, January 2021, Ed Waters

Union Internationale de Spéléologie (UIS) Commission on Volcanic Caves

Contents: Editorial -- Message from the Chairman -- Lavas pahoehoe y fauna endemica de cavernas basalticas en Payunia. Malargue, Mendoza, Argentina -- Cuevas de la Atalaya, Cuevas de Maguez or Las Cuevas Lanzarote-Islas Canarias.......Exploration -- Vale Jim Simons -- Lava Cave in Krongno - Global Outstanding Mixed Heritage of Dak Nong UNESCO Global Geopark, Vietnam -- 19th International Symposium on Vulcanospeleology

Examination Of Historical And Modern-Day Impact Of Structural Racism On The Lives Of Black People In The City Of St. Petersburg, Florida, Ruthmae Sears, Gypsy Gallardo, Gwendolyn D. Reese, Tim Dutton, Johannes Reichgelt, James P. Mchale, Fenda Akiwumi, Jabaar Edmond, Michelle Bradham-Cousar, Jalessa Blackshear, Dana Thompson-Dorsey

USF St. Petersburg Campus Faculty Publications

This report examines historical and modern-day impacts of structural racism on the lives of Black people in the City of St. Petersburg, Florida. It considers factors of structural racism that affect Black residents and communities in St. Petersburg related to the criminal legal system, economic system, education, and health. The report provides recommendations for policies and practices that can be implemented to address structural racism and promote racial equity in St. Petersburg. The report also identifies some additional areas of research needed for a more comprehensive analysis of issues related to structural racism.

Nutrition Risk And Validation Of An Hiv Disease-Specific Nutrition Screening Tool In Ghana, Lauri Wright, Maxwell Bisala Konlan, Laurene Boateng, James B. Epps

Mental Health Law & Policy Faculty Publications

Objectives: The objectives of this study were to assess the nutritional status and the most commonly reported nutrition-related factors contributing to nutritional risk in people living with HIV/AIDS (PLWHA) in Ghana and the specificity and sensitivity of the Rapid Nutrition Screening for HIV disease tool (RNS-H) in this population.

Design: A cross-sectional design was utilised. Patients were screened for nutritional status during a one-week period by clinic nurses using the RNS-H. Results were compared with a comprehensive nutritional assessment by a dietitian.

Setting: The research was conducted in a public health clinic at the University of Ghana Hospital, Legon.

Subjects: …

Digital Marketing In Hospitality And Tourism, Shankar Rayappan

University of South Florida (USF) M3 Publishing

OVERVIEW

In the present world, the service providers are in a dire need to address and customize, and gratify customer needs based on their experiences, preferences, interests, and behavior. There comes the rescue, the digital marketing that has evolved tremendously over the past couple of years amidst the pandemic. Though the presence was sensed long back to the start of the decade, its imperativeness has become inevitable after 2015. In India and across the globe the people are finding the ways to stay handy, having all their needs fulfilled at their doorsteps. There comes digital marketing. In the name of …

Deep Learning For Supervised Classification Of Temporal Data In Ecology, César Capinha, Ana Ceia-Hasse, Andrew M. Kramer, Christiaan Meijer

Integrative Biology Faculty and Staff Publications

Temporal data is ubiquitous in ecology and ecologists often face the challenge of accurately differentiating these data into predefined classes, such as biological entities or ecological states. The usual approach consists of transforming the time series into user-defined features and then using these features as predictors in conventional statistical or machine learning models. Here we suggest the use of deep learning models as an alternative to this approach. Recent deep learning techniques can perform the classification directly from the time series, eliminating subjective and resource-consuming data transformation steps, and potentially improving classification results. We describe some of the deep learning …

Global Economic Costs Of Aquatic Invasive Alien Species, Ross N. Cuthbert, Zarah Pattison, Nigel G. Taylor, Laura Verbrugge, Christophe Diagne, Danish A. Ahmed, Boris Leroy, Elena Angulo, Elizabeta Briski, César Capinha, Jane A. Catford, Tatenda Dalu, Franz Essl, Rodolphe E. Gozlan, Phillip J. Haubrock, Melina Kourantidou, Andrew M. Kramer, David Renault, Ryan J. Wasserman, Franck Courchamp

Integrative Biology Faculty and Staff Publications

Much research effort has been invested in understanding ecological impacts of invasive alien species (IAS) across ecosystems and taxonomic groups, but empirical studies about economic effects lack synthesis. Using a comprehensive global database, we determine patterns and trends in economic costs of aquatic IAS by examining: (i) the distribution of these costs across taxa, geographic regions and cost types; (ii) the temporal dynamics of global costs; and (iii) knowledge gaps, especially compared to terrestrial IAS. Based on the costs recorded from the existing literature, the global cost of aquatic IAS conservatively summed to US$345 …

Deep Learning For Supervised Classification Of Temporal Data In Ecology, César Capinha, Ana Ceia-Hasse, Andrew M. Kramer, Christiaan Meijer

Integrative Biology Faculty and Staff Publications

Temporal data is ubiquitous in ecology and ecologists often face the challenge of accurately differentiating these data into predefined classes, such as biological entities or ecological states. The usual approach consists of transforming the time series into user-defined features and then using these features as predictors in conventional statistical or machine learning models. Here we suggest the use of deep learning models as an alternative to this approach. Recent deep learning techniques can perform the classification directly from the time series, eliminating subjective and resource-consuming data transformation steps, and potentially improving classification results. We describe some of the deep learning …