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3F4 Hypergeometric Functions As A Sum Of A Product Of 2F3 Functions, Jack C. Straton Mar 2024

3F4 Hypergeometric Functions As A Sum Of A Product Of 2F3 Functions, Jack C. Straton

Physics Faculty Publications and Presentations

This paper shows that certain 3F4 hypergeometric functions can be expanded in sums of pair products of 2F3 functions, which reduce in special cases to 2F3 functions expanded in sums of pair products of 1F2 functions. This expands the class of hypergeometric functions having summation theorems beyond those expressible as pair-products of generalized Whittaker functions, 2F1 functions, and 3F2 functions into the realm of pFq functions where p < q for both the summand and terms in the series. In addition to its intrinsic value, this result has a specific application in calculating the response of the atoms to laser stimulation in the Strong Field Approximation.

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Dhea: A Neglected Biological Signal That May Affect Fetal And Child Development, Natasha A. Bailey, Elysia Poggi Davis, Curt A. Sandman, Laura M. Glynn Mar 2024

Dhea: A Neglected Biological Signal That May Affect Fetal And Child Development, Natasha A. Bailey, Elysia Poggi Davis, Curt A. Sandman, Laura M. Glynn

Psychology Faculty Articles and Research

The stress-sensitive maternal hypothalamic–pituitary–adrenal (HPA) axis through the end-product cortisol, represents a primary pathway through which maternal experience shapes fetal development with long-term consequences for child neurodevelopment. However, there is another HPA axis end-product that has been widely ignored in the study of human pregnancy. The synthesis and release of dehydroepiandosterone (DHEA) is similar to cortisol, so it is a plausible, but neglected, biological signal that may influence fetal neurodevelopment. DHEA also may interact with cortisol to determine developmental outcomes. Surprisingly, there is virtually nothing known about human fetal exposure to prenatal maternal DHEA and offspring neurodevelopment. The current study …

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Variation In Leaf Chlorophyll Concentration In Response To Nitrogen Application Across Maize Hybrids In Contrasting Environments, Kyle M. Linders, Dipak K. Santra, James C. Schnable, Brandi Sigmon Mar 2024

Variation In Leaf Chlorophyll Concentration In Response To Nitrogen Application Across Maize Hybrids In Contrasting Environments, Kyle M. Linders, Dipak K. Santra, James C. Schnable, Brandi Sigmon

Department of Agronomy and Horticulture: Faculty Publications

Leaf chlorophyll concentration was measured for 84 publicly available maize hybrids grown under three nitrogen fertilizer treatments in two contrasting environments in Nebraska. The effect of nitrogen treatment on chlorophyll response was found to be significant (p < 0.05) for both locations. In Scottsbluff, chlorophyll concentrations increased significantly with increasing nitrogen rate, while no significant difference was found between medium and high nitrogen in Lincoln. Within equivalent nitrogen treatments, chlorophyll was more abundant in Lincoln than Scottsbluff for nearly every hybrid. Hybrid response was not consistent between environments, with approximately 11% of variance explained by genotype by environment interaction.

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Localized Eigenvectors On Metric Graphs, Hannah Kravitz, Moysey Brio, J G, Caputo Mar 2024

Localized Eigenvectors On Metric Graphs, Hannah Kravitz, Moysey Brio, J G, Caputo

Mathematics and Statistics Faculty Publications and Presentations

We analyze the eigenvectors of the generalized Laplacian for two metric graphs occurring in practical applications. In accordance with random network theory, localization of an eigenvector is rare and the network should be tuned to observe exactly localized eigenvectors. We derive the resonance conditions to obtain localized eigenvectors for various geometric configurations and their combinations to form more complicated resonant structures. These localized eigenvectors suggest new indicators based on the energy density; in contrast to standard criteria, ours provide the number of active edges. We also suggest practical ways to design resonating systems based on metric graphs. Finally, …

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Abortion Complications In The Post-Roe Era: An Academic Community Hospital Perspective, Morgan Mcfadden Md, Patricia L. Mara Md, Kristen Maiden Md, Hope Kincaid Mph, Cph Mar 2024

Abortion Complications In The Post-Roe Era: An Academic Community Hospital Perspective, Morgan Mcfadden Md, Patricia L. Mara Md, Kristen Maiden Md, Hope Kincaid Mph, Cph

USF-LVHN SELECT

No abstract provided.

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Examining The Roles Of Erythropoietin And Melatonin In Preventing The Development Of Post-Hemorrhagic Hydrocephalus Of Prematurity, Sindhu Ramachandra, Lauren L. Jantzie, Shenandoah Robinson Mar 2024

Examining The Roles Of Erythropoietin And Melatonin In Preventing The Development Of Post-Hemorrhagic Hydrocephalus Of Prematurity, Sindhu Ramachandra, Lauren L. Jantzie, Shenandoah Robinson

USF-LVHN SELECT

No abstract provided.

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Community Strategies For Improving Diabetes Disparities In Allentown, Irene Nguyen Md, Autumn Kieber-Emmons Md, Mph, Michael Irving, William L. Miller Md, Ma, Carolyn Peterseim Md Mar 2024

Community Strategies For Improving Diabetes Disparities In Allentown, Irene Nguyen Md, Autumn Kieber-Emmons Md, Mph, Michael Irving, William L. Miller Md, Ma, Carolyn Peterseim Md

USF-LVHN SELECT

No abstract provided.

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The Relationship Between Blood Pressure And The Development Of Preterm Birth And Preeclampsia, Akshar Patel, Autumn Kieber-Emmons Md, Mph, Ashwini Kamath Mulki, Kyle Shaak Bs Mar 2024

The Relationship Between Blood Pressure And The Development Of Preterm Birth And Preeclampsia, Akshar Patel, Autumn Kieber-Emmons Md, Mph, Ashwini Kamath Mulki, Kyle Shaak Bs

USF-LVHN SELECT

No abstract provided.

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Allicin And Cancer Hallmarks, Wamidh H. Talib, Media Mohammed Baban, Aya O. Azzam, Jenan J. Issa, Alaa Y. Ali, Alia Kh Alsuwais, Sana Allala, Lina T. Al Kury Mar 2024

Allicin And Cancer Hallmarks, Wamidh H. Talib, Media Mohammed Baban, Aya O. Azzam, Jenan J. Issa, Alaa Y. Ali, Alia Kh Alsuwais, Sana Allala, Lina T. Al Kury

All Works

Natural products, particularly medicinal plants, are crucial in combating cancer and aiding in the discovery and development of new therapeutic agents owing to their biologically active compounds. They offer a promising avenue for developing effective anticancer medications because of their low toxicity, diverse chemical structures, and ability to target various cancers. Allicin is one of the main ingredients in garlic (Allium sativum L.). It is a bioactive sulfur compound maintained in various plant sections in a precursor state. Numerous studies have documented the positive health benefits of this natural compound on many chronic conditions, including gastric, hepatic, breast, lung, cervical, …

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A Systematic Review Of Measures Of Healthcare Workers’ Vaccine Confidence, Kofoworola Akinsola, Ayobami Bakare, Elisa Gobbo, Carina King, Claudia Hanson, Adegoke Falade, Sibylle Herzig Van Wees Mar 2024

A Systematic Review Of Measures Of Healthcare Workers’ Vaccine Confidence, Kofoworola Akinsola, Ayobami Bakare, Elisa Gobbo, Carina King, Claudia Hanson, Adegoke Falade, Sibylle Herzig Van Wees

Centre of Excellence in Women and Child Health

Healthcare workers (HCW) perceptions toward vaccines influence patient and community vaccine decision making. In an era of rising vaccine hesitancy, understanding HCW vaccine confidence is critical. This systematic review aims to review instruments that have been validated to measure HCW vaccine confidence. We conducted a search in five databases in June 2023. Data was descriptively synthesized. Twelve articles describing 10 different tools were included. Most tools included dimensions or items on vaccine knowledge (n = 9), safety (n = 8), vaccine usefulness (n = 8), recommendation behavior (n = 8), and self-vaccination practice (n = 7). All, except one study, …

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Assessing Progress In Reducing Racial Disparities In New York City Law Enforcement, 2013-2022, Stephen Koppel, Michael Rempel Mar 2024

Assessing Progress In Reducing Racial Disparities In New York City Law Enforcement, 2013-2022, Stephen Koppel, Michael Rempel

Publications and Research

As part of New York City's Police Reform and Reinvention Collaborative Plan, this study assesses overall trends and racial disparities from 2013 to 2022 in four law enforcement practices: (1) pedestrian stops, (2) desk appearance tickets, (3) arrests, and (4) prosecutions by district attorneys.

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Color Contrast: Racial And Ethnic Disparities In New York City Law Enforcement, Gina Moreno, Richard A. Espinobarros, Sheyla A. Delgado, Jeffrey A. Butts Mar 2024

Color Contrast: Racial And Ethnic Disparities In New York City Law Enforcement, Gina Moreno, Richard A. Espinobarros, Sheyla A. Delgado, Jeffrey A. Butts

Publications and Research

Researchers at the John Jay College Research and Evaluation Center examined racial and ethnic disparities in arrest rates across New York City neighborhoods, focusing on assault and larceny offenses. Using 911 call data and demographic controls, the study grouped neighborhoods by proportions of Black and Hispanic residents and analyzed arrest patterns. While arrests of Black and Hispanic individuals were more common in neighborhoods with higher populations of these groups, the arrest-to-resident ratios revealed disproportionate impacts, especially for larceny. The findings highlight the importance of monitoring disparities to promote equitable justice practices.

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Notetaking As Validity Evidence: A Mixed-Methods Investigation Of Question Preview In Eap Listening Assessment, Rebecca Yeager, Gomee Park, Ray J. T. Liao Mar 2024

Notetaking As Validity Evidence: A Mixed-Methods Investigation Of Question Preview In Eap Listening Assessment, Rebecca Yeager, Gomee Park, Ray J. T. Liao

Bilingual and Literacy Studies Faculty Publications

Recent scholarship has questioned the cognitive validity of listening tests with preview, in which test-takers can see test questions before listening. This study mined student notes for evidence of cognitive processes in listening tests with and without preview, using a mixed-methods design that explored the effect of test format on notetaking behaviors. Qualitative analysis indicated that students who previewed items were more likely to systematically omit information, highlight previewed keywords, and engage in shallower structural representation. Conversely, Kruskal-Wallis tests revealed that students who listened without preview took more notes, especially of main ideas and details, and had better coverage of …

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Which Characteristics Do Religious School Administrators Value In Teachers? Experimental Evidence From The Global Christian School Sector, Alison Johnson, Matthew H. Lee, Albert Cheng Mar 2024

Which Characteristics Do Religious School Administrators Value In Teachers? Experimental Evidence From The Global Christian School Sector, Alison Johnson, Matthew H. Lee, Albert Cheng

Education Reform Faculty and Graduate Students Publications

Research shows that teacher quality is the most important school-related input correlated with student success. In religious private schools, teachers do not merely influence academic outcomes; they may also play a role in spiritual formation. Religious school administrators report that their faith informs their hiring decisions. However, little research has examined the ways that religious school administrators choose individuals to place in teaching positions. In this study, we use conjoint analysis to experimentally examine the hiring preferences of 170 Christian school administrators. We find that having modest (compared to below-average) academic achievement and qualifications or extensive (compared to limited) experience …

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Sensor-Based Vehicle Classification Using Machine Learning, Luke Mcfadden Mar 2024

Sensor-Based Vehicle Classification Using Machine Learning, Luke Mcfadden

Theses and Dissertations

This research investigates the classification of vehicles into heavy and light categories using acoustic, seismic, and magnetic sensor data. The effectiveness of using frequency domain data and classical machine learning techniques, is compared with the effectiveness of using time-series data and neural networks. The primary aim in doing so was to understand if modern neural network architectures could effectively remove the need for more traditional frequency based signals processing. A significant deliverable of this thesis was the feature importance determined for each of the three phenomenological types found within the data (acoustic, seismic, and magnetic). By analyzing the importance of …

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Understanding The Impact Of Trade Policy Effect Uncertainty On Firm-Level Innovation Investment: A Deep Learning Approach, Daniel Chang, Nan Hu, Peng Liang, Morgan Swink Mar 2024

Understanding The Impact Of Trade Policy Effect Uncertainty On Firm-Level Innovation Investment: A Deep Learning Approach, Daniel Chang, Nan Hu, Peng Liang, Morgan Swink

Research Collection School Of Computing and Information Systems

Integrating the real options perspective and resource dependence theory, this study examines how firms adjust their innovation investments to trade policy effect uncertainty (TPEU), a less studied type of firm specific, perceived environmental uncertainty in which managers have difficulty predicting how potential policy changes will affect business operations. To develop a text-based, context-dependent, time-varying measure of firm-level perceived TPEU, we apply Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art deep learning approach. We apply BERT to analyze the texts of mandatory Management Discussion and Analysis (MD&A) sections of annual reports for a sample of 22,669 firm-year observations from 3,181 unique …

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Stopguess: A Framework For Public-Key Authenticated Encryption With Keyword Search, Tao Xiang, Zhongming Wang, Biwen Chen, Xiaoguo Li, Peng Wang, Fei Chen Mar 2024

Stopguess: A Framework For Public-Key Authenticated Encryption With Keyword Search, Tao Xiang, Zhongming Wang, Biwen Chen, Xiaoguo Li, Peng Wang, Fei Chen

Research Collection School Of Computing and Information Systems

Public key encryption with keyword search (PEKS) allows users to search on encrypted data without leaking the keyword information from the ciphertexts. But it does not preserve keyword privacy within the trapdoors, because an adversary (e.g., untrusted server) might launch inside keyword-guessing attacks (IKGA) to guess keywords from the trapdoors. In recent years, public key authenticated encryption with keyword search (PAEKS) has become a promising primitive to counter the IKGA. However, existing PAEKS schemes focus on the concrete construction of PAEKS, making them unable to support modular construction, intuitive proof, or flexible extension. In this paper, our proposal called “StopGuess” …

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Multiobjective Stochastic Optimization: A Case Of Real-Time Matching In Ride-Sourcing Markets, Guodong Lyu, Wang Chi Cheung, Chung-Piaw Teo, Hai Wang Mar 2024

Multiobjective Stochastic Optimization: A Case Of Real-Time Matching In Ride-Sourcing Markets, Guodong Lyu, Wang Chi Cheung, Chung-Piaw Teo, Hai Wang

Research Collection School Of Computing and Information Systems

Problem Definition: The job of any marketplace is to facilitate the matching of supply with demand in real-time. Success is often measured using various metrics. The challenge is to design matching algorithms to balance the trade-offs among multiple objectives in a stochastic environment, to arrive at a “compromise” solution, which minimizes say the ℓp-norm-based distance function (for some 1 ≤p ≤∞) between the attained performance metrics and the target performances.Methodology/Results: We observe that the sample-average-approximation formulation of this multi-objective stochastic optimization problem can be solved by an online algorithm that uses only gradient information from “historical” (i.e., past) sample information, …

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Ddos Family: A Novel Perspective For Massive Types Of Ddos Attacks, Ziming Zhao, Zhaoxuan Li, Zhihao Zhou, Jiongchi Yu, Zhuoxue Song, Xiaofei Xie, Fan Zhang, Rui Zhang Mar 2024

Ddos Family: A Novel Perspective For Massive Types Of Ddos Attacks, Ziming Zhao, Zhaoxuan Li, Zhihao Zhou, Jiongchi Yu, Zhuoxue Song, Xiaofei Xie, Fan Zhang, Rui Zhang

Research Collection School Of Computing and Information Systems

Distributed Denial of Service (DDoS) defense is a profound research problem. In recent years, adversaries tend to complicate their attack strategies by crafting vast DDoS variants. On the one hand, this trend exacerbates both extremes of classification granularity (i.e., binary and attack level) in existing machine learning methods. On the other hand, massive attack categories make the filter rule table bulky, as well as cause problems of slow reaction presented in the recent state-of-the-art DDoS mitigation system. Therefore, we propose the concept of a DDoS family to reconcile/cope with these issues. The specific technical roadmap includes traffic pattern characterization, attack …

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From Asset Flow To Status, Action And Intention Discovery: Early Malice Detection In Cryptocurrency, Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu Mar 2024

From Asset Flow To Status, Action And Intention Discovery: Early Malice Detection In Cryptocurrency, Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu

Research Collection School Of Computing and Information Systems

Cryptocurrency has been subject to illicit activities probably more often than traditional financial assets due to the pseudo-anonymous nature of its transacting entities. An ideal detection model is expected to achieve all three critical properties of early detection, good interpretability, and versatility for various illicit activities. However, existing solutions cannot meet all these requirements, as most of them heavily rely on deep learning without interpretability and are only available for retrospective analysis of a specific illicit type. To tackle all these challenges, we propose Intention Monitor for early malice detection in Bitcoin, where the on-chain record data for a certain …

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Temporal Implicit Multimodal Networks For Investment And Risk Management, Meng Kiat Gary Ang, Ee-Peng Lim Mar 2024

Temporal Implicit Multimodal Networks For Investment And Risk Management, Meng Kiat Gary Ang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Many deep learning works on financial time-series forecasting focus on predicting future prices/returns of individual assets with numerical price-related information for trading, and hence propose models designed for univariate, single-task, and/or unimodal settings. Forecasting for investment and risk management involves multiple tasks in multivariate settings: forecasts of expected returns and risks of assets in portfolios, and correlations between these assets. As different sources/types of time-series influence future returns, risks, and correlations of assets in different ways, it is also important to capture time-series from different modalities. Hence, this article addresses financial time-series forecasting for investment and risk management in a …

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Needs Assessment For Breast Health Education At Lvhn: A Qualitative Survey Of Primary Care And Obgyn Clinicians, Taylor Guth Md, Beth Careyva M.D. Mar 2024

Needs Assessment For Breast Health Education At Lvhn: A Qualitative Survey Of Primary Care And Obgyn Clinicians, Taylor Guth Md, Beth Careyva M.D.

USF-LVHN SELECT

No abstract provided.

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A Survey Analysis On Family Leave Policies And Experiences Among Medical Trainees And Attending Physicians, Kristina Rozova Md, Shanika Esparaz, Meghana Chalasani, Michelle Tran, Anuk Burli Mar 2024

A Survey Analysis On Family Leave Policies And Experiences Among Medical Trainees And Attending Physicians, Kristina Rozova Md, Shanika Esparaz, Meghana Chalasani, Michelle Tran, Anuk Burli

USF-LVHN SELECT

No abstract provided.

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Select Anesthesiology Interest Group Needs Assessment And Quality Improvement, Brett O'Donnell Md, Thomas A. Mcloughlin Md Mar 2024

Select Anesthesiology Interest Group Needs Assessment And Quality Improvement, Brett O'Donnell Md, Thomas A. Mcloughlin Md

USF-LVHN SELECT

No abstract provided.

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Image Of Women In Islam: Maqāsid Approach For Correct Interpretation, Maher Haswa, Man Baker, Moath Alnaief Mar 2024

Image Of Women In Islam: Maqāsid Approach For Correct Interpretation, Maher Haswa, Man Baker, Moath Alnaief

All Works

The current study attempted to outline the necessity of using the purposes method (al-manhaj al-maqāṣidi) to understand the correct meaning of Islamic religious texts, particularly those related to the image of women, by analysing a set of Prophetic Hadiths in the canonical works of al-Bukhari and Muslim. When the purposes method is not utilized, these texts are typically understood as hostile towards women, leading many to question their validity. The current study employed the analytical and critical methods derived from holistically viewing the religious texts. The study argued that the purposes method should be used by gathering all the texts …

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Dispositional Gratitude At Work Predicts Job Satisfaction Of Software Developers, Jordan Gabriel Tate Mar 2024

Dispositional Gratitude At Work Predicts Job Satisfaction Of Software Developers, Jordan Gabriel Tate

Electronic Theses and Dissertations

Software developers can suffer from negative emotions at work and low job satisfaction. Less is known about how positive emotions at work impact software developers. Gratitude is one positive emotion that has predicted job satisfaction in other studies. The purpose of this quantitative correlational study was to explore how gratitude at work predicts job satisfaction among software developers. The broaden-and-build theory of positive emotions and the find-remind-and-bind theory of gratitude guided the study. Participants included 146 software developers who were recruited via LinkedIn using purposive sampling. Participants completed an online survey, including the Gratitude Questionnaire-Six Item Form and the Appreciation …

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Powerful Radio Sources In The Southern Sky. Iii. First Results Of The Optical Spectroscopic Campaign, A. García-Pérez, H. A. Peña-Herazo, A. Jimenez-Gallardo, V. Chavushyan, F. Massaro, S. V. White, A. Capetti, B. Balmaverde, W. R. Forman, Juan P. Madrid Mar 2024

Powerful Radio Sources In The Southern Sky. Iii. First Results Of The Optical Spectroscopic Campaign, A. García-Pérez, H. A. Peña-Herazo, A. Jimenez-Gallardo, V. Chavushyan, F. Massaro, S. V. White, A. Capetti, B. Balmaverde, W. R. Forman, Juan P. Madrid

Physics & Astronomy Faculty Publications

We recently built the G4Jy-3CRE catalog of extragalactic radio sources. This catalog lists 264 powerful radio sources selected with similar criteria to those of the revised Third Cambridge Catalog, but visible from the Southern Hemisphere. A literature search revealed that 119 sources in the G4Jy-3CRE catalog (i.e., 45%) lack a firm spectroscopic redshift measurement. Here, we present a campaign aimed at acquiring optical spectra of G4Jy-3CRE sources and measuring their redshifts. We used single-slit observations obtained with the Víctor Blanco Telescope, the New Technology Telescope, the Southern Astrophysical Research Telescope, and the 2.1 m telescope of the Observatorio Astronómico Nacional …

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Comment On “Spectral Shifts In General Relativity,” [Am. J. Phys. 62(10), 903–907 (1994)], Joseph D. Romano, Teviet Creighton Mar 2024

Comment On “Spectral Shifts In General Relativity,” [Am. J. Phys. 62(10), 903–907 (1994)], Joseph D. Romano, Teviet Creighton

Physics & Astronomy Faculty Publications

No abstract provided.

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“Safe” Annuity Retirement Products And A Possible Us Retirement Crisis, Thomas E. Lambert, Christopher B. Tobe Mar 2024

“Safe” Annuity Retirement Products And A Possible Us Retirement Crisis, Thomas E. Lambert, Christopher B. Tobe

Faculty and Staff Scholarship

This paper examines a looming possible crisis in many Americans’ retirement plans due to the proliferation of annuity products in their retirement investment portfolios. As defined benefit pension plans have almost completely disappeared as a means of retirement savings and have been replaced by defined contribution retirement plans over the last 40 to 50 years, a great number of private and public sector defined contribution retirement plans have become laden with insurance contracts called annuities. Of the remaining solid defined benefit plans many, through a process called Pension Risk Transfer are being converted to high-risk single entity annuities. Such products …

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Improving Inpatient Hyperglycaemia In Non-Critically Ill Adults In Resident Wards Through Audit And Feedback, Chelsea H. Chang, Alcibiades Fleires, Alfarooq Alshaikhli, Hector Arredondo, Diana Gavilanes, Francisco J. Cabral-Amador, Jonathon Cantu, Daniela Bazan, Kathryn Oliveira Oliveira, Rene Verduzco, Lina Pedraza Sanchez Mar 2024

Improving Inpatient Hyperglycaemia In Non-Critically Ill Adults In Resident Wards Through Audit And Feedback, Chelsea H. Chang, Alcibiades Fleires, Alfarooq Alshaikhli, Hector Arredondo, Diana Gavilanes, Francisco J. Cabral-Amador, Jonathon Cantu, Daniela Bazan, Kathryn Oliveira Oliveira, Rene Verduzco, Lina Pedraza Sanchez

School of Medicine Publications

Inpatient hyperglycaemia is associated with an increase in morbidity and mortality, number of rehospitalisations and length of hospitalisation. Although the advantages of proper glycaemic control in hospitalised patients with diabetes are well established, a variety of barriers limit accomplishment of blood glucose targets. Our primary aim was to decrease the number of glucose values above 180 mg/dL in non-critical care hospitalised patients using an audit and feedback intervention with pharmacy and internal medicine residents. A resident-led multidisciplinary team implemented the quality improvement (QI) project including conception, literature review, educating residents, iterative development of audit and feedback tools and data analysis. …

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