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Articles 1051 - 1080 of 25073
Full-Text Articles in Entire DC Network
X-Ray And Multiwavelength Polarization Of Mrk 501 From 2022 To 2023, Chien Ting J. Chen, Ioannis Liodakis, Riccardo Middei, Dawoon E. Kim, Laura Di Gesu, Alessandro Di Marco, Steven R. Ehlert, Manel Errando, Michela Negro, Svetlana G. Jorstad, Alan P. Marscher, Kinwah Wu, Iván Agudo, Juri Poutanen, Tsunefumi Mizuno, Pouya M. Kouch, Elina Lindfors, George A. Borman, Tatiana S. Grishina, Evgenia N. Kopatskaya, Elena G. Larionova, Daria A. Morozova, Sergey S. Savchenko, Ivan S. Troitsky, Yulia V. Troitskaya, Andrey A. Vasilyev, Alexey V. Zhovtan, Francisco José Aceituno, Giacomo Bonnoli, Víctor Casanova, Juan Escudero, Beatriz Agís-González, César Husillos
X-Ray And Multiwavelength Polarization Of Mrk 501 From 2022 To 2023, Chien Ting J. Chen, Ioannis Liodakis, Riccardo Middei, Dawoon E. Kim, Laura Di Gesu, Alessandro Di Marco, Steven R. Ehlert, Manel Errando, Michela Negro, Svetlana G. Jorstad, Alan P. Marscher, Kinwah Wu, Iván Agudo, Juri Poutanen, Tsunefumi Mizuno, Pouya M. Kouch, Elina Lindfors, George A. Borman, Tatiana S. Grishina, Evgenia N. Kopatskaya, Elena G. Larionova, Daria A. Morozova, Sergey S. Savchenko, Ivan S. Troitsky, Yulia V. Troitskaya, Andrey A. Vasilyev, Alexey V. Zhovtan, Francisco José Aceituno, Giacomo Bonnoli, Víctor Casanova, Juan Escudero, Beatriz Agís-González, César Husillos
Faculty Publications
We present multiwavelength polarization measurements of the luminous blazar Mrk 501 over a 14 month period. The 2-8 keV X-ray polarization was measured with the Imaging X-ray Polarimetry Explorer (IXPE) with six 100 ks observations spanning from 2022 March to 2023 April. Each IXPE observation was accompanied by simultaneous X-ray data from NuSTAR, Swift/XRT, and/or XMM-Newton. Complementary optical-infrared polarization measurements were also available in the B, V, R, I, and J bands, as were radio polarization measurements from 4.85 GHz to 225.5 GHz. Among the first five IXPE observations, we did not find significant variability in the X-ray polarization degree …
Regulation Of Bacterial Virulence Genes By Pecs Family Transcription Factors, George C. Nwokocha, Arpita Ghosh, Anne Grove
Regulation Of Bacterial Virulence Genes By Pecs Family Transcription Factors, George C. Nwokocha, Arpita Ghosh, Anne Grove
Faculty Publications
Bacterial plant pathogens adjust their gene expression programs in response to environmental signals and host-derived compounds. This ensures that virulence genes or genes encoding proteins, which promote bacterial fitness in a host environment, are expressed only when needed. Such regulation is in the purview of transcription factors, many of which belong to the ubiquitous multiple antibiotic resistance regulator (MarR) protein family. PecS proteins constitute a subset of this large protein family. PecS has likely been distributed by horizontal gene transfer, along with the divergently encoded efflux pump PecM, suggesting its integration into existing gene regulatory networks. Here, we discuss the …
Comparative Transcriptomic Analyses Reveal Differences In The Responses Of Diploid And Triploid Eastern Oysters To Environmental Stress, Rujuta V Vaidya, Sarah Bodenstein, Dildorakhon Rasulova, Jerome F La Peyre, Morgan W Kelly
Comparative Transcriptomic Analyses Reveal Differences In The Responses Of Diploid And Triploid Eastern Oysters To Environmental Stress, Rujuta V Vaidya, Sarah Bodenstein, Dildorakhon Rasulova, Jerome F La Peyre, Morgan W Kelly
Faculty Publications
Triploid oysters are commonly used as the basis for production in the aquaculture of eastern oysters along the USA East and Gulf of Mexico coasts. While they are valued for their rapid growth, incidents of triploid mortality during summer months have been well documented in eastern oysters, especially at low salinity sites. We compared global transcriptomic responses of diploid and triploid oysters bred from the same three maternal source populations at two different hatcheries and outplanted to a high (annual mean salinity = 19.4 ± 6.7) and low (annual mean salinity = 9.3 ± 5.0) salinity site. Oysters were sampled …
Macroevolution Of The Plant–Hummingbird Pollination System, Elisa Barreto, Mannfred M.A. Boehm, Ezgi Ogutcen, Stefan Abrahamczyk, Michael Kessler, Jordi Bascompte, Agnes S. Dellinger, Carolina Bello, D. Matthias Dehling, François Duchenne, Miriam Kaehler, Laura P. Lagomarsino, Lúcia G. Lohmann, María A. Maglianesi, Hélène Morlon, Nathan Muchhala, Juan Francisco Ornelas, Mathieu Perret, Nelson R. Salinas, Stacey D. Smith, Jana C. Vamosi, Isabela G. Varassin, Catherine H. Graham
Macroevolution Of The Plant–Hummingbird Pollination System, Elisa Barreto, Mannfred M.A. Boehm, Ezgi Ogutcen, Stefan Abrahamczyk, Michael Kessler, Jordi Bascompte, Agnes S. Dellinger, Carolina Bello, D. Matthias Dehling, François Duchenne, Miriam Kaehler, Laura P. Lagomarsino, Lúcia G. Lohmann, María A. Maglianesi, Hélène Morlon, Nathan Muchhala, Juan Francisco Ornelas, Mathieu Perret, Nelson R. Salinas, Stacey D. Smith, Jana C. Vamosi, Isabela G. Varassin, Catherine H. Graham
Faculty Publications
Plant–hummingbird interactions are considered a classic example of coevolution, a process in which mutually dependent species influence each other's evolution. Plants depend on hummingbirds for pollination, whereas hummingbirds rely on nectar for food. As a step towards understanding coevolution, this review focuses on the macroevolutionary consequences of plant–hummingbird interactions, a relatively underexplored area in the current literature. We synthesize prior studies, illustrating the origins and dynamics of hummingbird pollination across different angiosperm clades previously pollinated by insects (mostly bees), bats, and passerine birds. In some cases, the crown age of hummingbirds pre-dates the plants they pollinate. In other cases, plant …
Bipolar Membrane Capacitive Deionization For The Selective Capture Of Lithium Ions From Brines And Conversion To Lithium Hydroxide, Tanmay Kulkarni, Aliya Muhammad I. Al Dhamen, Xiaoliu Zhang, Chan Wen Chiu, Hanrui Zhang, Feifei Shi, Revati Kumar, Christopher G. Arges
Bipolar Membrane Capacitive Deionization For The Selective Capture Of Lithium Ions From Brines And Conversion To Lithium Hydroxide, Tanmay Kulkarni, Aliya Muhammad I. Al Dhamen, Xiaoliu Zhang, Chan Wen Chiu, Hanrui Zhang, Feifei Shi, Revati Kumar, Christopher G. Arges
Faculty Publications
Meeting the increasing demand for lithium in vehicle electrification and renewable energy storage requires innovations in lithium-ion (Li+) separations. Traditional solar evaporation methods for lithium recovery are slow and consume tremendous volumes of water and secondary chemicals (acids and bases). This study introduces a bipolar membrane capacitive deionization (BPM-CDI) unit for direct lithium extraction and LiOH production without the external addition of acids and bases. Utilizing de-lithiated lithium-iron-phosphate (LFP) coated carbon cloth electrodes, the BPM-CDI unit demonstrates selective Li+ capture over competing ions. Molecular dynamics simulations and H-cell experiments elucidate pH inversion mechanisms during Li+ release, …
Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte
Equipping Future Physicians With Artificial Intelligence Competencies Through Student Associations, Spencer Hopson, Carson Mildon, Kyle Hassard, Paul Urie, Dennis Della Corte
Faculty Publications
Advances in artificial intelligence (AI) in the medical sector necessitate the development of AI literacy among future physicians. This article explores the pioneering efforts of the AI in Medicine Association (AIM) at Brigham Young University, which offers a framework for undergraduate pre-medical students to gain hands-on experience, receive principled education, explore ethical considerations, and learn appraisal of AI models. By supplementing formal, university-organized pre-medical education with a student-led, faculty-supported introduction to AI through an extracurricular academic association, AIM alleviates apprehensions regarding AI in medicine early and empowers students preparing for medical school to navigate the evolving landscape of AI in …
Return To Eden: God’S Design For Human Sexuality In The Song Of Songs, Richard M. Davidson
Return To Eden: God’S Design For Human Sexuality In The Song Of Songs, Richard M. Davidson
Faculty Publications
No abstract provided.
Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown
Spatiotemporal Climatology Of Georgia Tropical Cyclones And Associated Rainfall, Reilly Corkran, Jill Trepanier, Vincent Brown
Faculty Publications
Tropical cyclones (TCs), often characterized by high wind speeds and heavy rainfall, cause widespread devastation, affecting millions of people and leading to economic losses worldwide. TC-specific research in Georgia is scarce, likely due to the minimal geographical extent of its coast and the infrequency of direct landfalls. Research on Georgia TCs does not account for storms that make landfall in other southeastern states (e.g., Florida) and continue north, northeast, or northwest into Georgia. This study used the North Atlantic Basin hurricane database (HURDAT2) to quantify the spatiotemporal patterns of direct and indirect landfalling of Georgia tropical cyclones (>16 ms−1) …
Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang
Scene Classification Of Remote Sensing Image Based On Multi-Path Reconfigurable Neural Network, Wenyi Hu, Chunjie Lan, Tian Chen, Shan Liu, Lirong Yin, Lei Wang
Faculty Publications
Land image recognition and classification and land environment detection are important research fields in remote sensing applications. Because of the diversity and complexity of different tasks of land environment recognition and classification, it is difficult for researchers to use a single model to achieve the best performance in scene classification of multiple remote sensing land images. Therefore, to determine which model is the best for the current recognition classification tasks, it is often necessary to select and experiment with many different models. However, finding the optimal model is accompanied by an increase in trial-and-error costs and is a waste of …
In Situ Assembly Enabling Adhesive-Free Bonding Of Large Area Electronic Sensors To Concrete For Structural Health Monitoring, Emmanuel Ogunniyi, Han Liu, Austin Downey, Simon Laflamme, Caroline Bennett, William Collins, Hongki Jo, Paul Ziehl
In Situ Assembly Enabling Adhesive-Free Bonding Of Large Area Electronic Sensors To Concrete For Structural Health Monitoring, Emmanuel Ogunniyi, Han Liu, Austin Downey, Simon Laflamme, Caroline Bennett, William Collins, Hongki Jo, Paul Ziehl
Faculty Publications
Cracks developed in concrete infrastructure are one of the primary mechanisms that degrade their structural integrity, which may result in structural failures. Previous research on soft elastomeric capacitors (SEC) has shown their viability for structural health monitoring of structural materials, including concrete, steel, and fiberglass composites. The SEC, or its derivative version with a corrugated geometry termed corrugated SEC or cSEC, is a parallel plate capacitor. Prior work demonstrated that it was possible to directly paint the electrode interfacing with the structural material onto the structure and adhere the rest of the pre-fabricated sensor onto the wet interface, thereby eliminating …
Machine Learning For Automated Classification Of Lung Collagen In A Urethane-Induced Lung Injury Mouse Model, Khalid Hamad Alnafisah, Amit Ranjan, Sushant P. Sahu, Jianhua Chen, Sarah Mohammad Alhejji, Alexandra Noël, Manas Ranjan Gartia, Supratik Mukhopadhyay
Machine Learning For Automated Classification Of Lung Collagen In A Urethane-Induced Lung Injury Mouse Model, Khalid Hamad Alnafisah, Amit Ranjan, Sushant P. Sahu, Jianhua Chen, Sarah Mohammad Alhejji, Alexandra Noël, Manas Ranjan Gartia, Supratik Mukhopadhyay
Faculty Publications
Dysregulation of lung tissue collagen level plays a vital role in understanding how lung diseases progress. However, traditional scoring methods rely on manual histopathological examination introducing subjectivity and inconsistency into the assessment process. These methods are further hampered by inter-observer variability, lack of quantification, and their time-consuming nature. To mitigate these drawbacks, we propose a machine learning-driven framework for automated scoring of lung collagen content. Our study begins with the collection of a lung slide image dataset from adult female mice using second harmonic generation (SHG) microscopy. In our proposed approach, first, we manually extracted features based on the 46 …
Sustainability Of Asphalt Mixtures Containing 50% Rap And Recycling Agents, Ibrahim Elnaml, Louay N. Mohammad, Gaylon Baumgardner, Samuel Cooper, Samuel Cooper
Sustainability Of Asphalt Mixtures Containing 50% Rap And Recycling Agents, Ibrahim Elnaml, Louay N. Mohammad, Gaylon Baumgardner, Samuel Cooper, Samuel Cooper
Faculty Publications
The substitution of virgin asphalt binder with reclaimed asphalt pavement (RAP) has environmental and economic merits, however, cracking susceptibility arises due to the aged asphalt binder within RAP. The objectives of this study are to (1) enhance the cracking resistance of asphalt mixtures containing 50% RAP utilizing recycling agents (RAs) derived from six petroleum-based and bio-based materials, (2) conduct an environmental impact assessment (represented by global warming potential “GWP”) for high-RAP mixtures including RAs, and (3) estimate the cost effectiveness of including high-RAP content in asphalt mixtures. Based on the RAP asphalt binder performance grade (PG), base asphalt binder PG, …
Innovation Challenges In The Air Force Sbir Program: From The Small Businesses' Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., Robert D. Fass
Innovation Challenges In The Air Force Sbir Program: From The Small Businesses' Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., Robert D. Fass
Faculty Publications
Every year the United States invests $3.2 billion in the Small Business Innovation Research (SBIR) program to promote innovation among the nation’s small businesses. Half of this investment is from the DoD. This research considers the challenges faced by small businesses innovating with the DoD, particularly those awarded SBIR contracts with the United States Air Force. The authors surveyed 286 unique small businesses that were previously awarded an Air Force SBIR contract. By asking the survey respondents open-ended questions and categorizing their responses, they pinpoint unaddressed challenges from the small business perspective. By categorizing survey responses through Qualitative Content Analysis, …
Reframing And Advancing Academic Mentorship To Support New And Early Career Faculty Members, Juanita-Dawne R. Bacsu, Patricia C. Heyn, Steffi Kim, Zahra Rahemi, Monique J. Brown, Darina V. Petrovsky, Justine S. Sefcik, Jodi L. Southerland, Jeremy Holloway, Elyse Couch, Ayse Malatyali, Matthew L. Smith
Reframing And Advancing Academic Mentorship To Support New And Early Career Faculty Members, Juanita-Dawne R. Bacsu, Patricia C. Heyn, Steffi Kim, Zahra Rahemi, Monique J. Brown, Darina V. Petrovsky, Justine S. Sefcik, Jodi L. Southerland, Jeremy Holloway, Elyse Couch, Ayse Malatyali, Matthew L. Smith
Faculty Publications
Mentorship is critical to fostering professional growth and career development in academia. However, academic mentorship is often an informal activity that is overlooked and under researched. There is much ambiguity and uncertainty surrounding mentorship roles and strategies in academia. This paper provides recommendations and strategies to reframe and advance academic mentorship to support new and early career faculty.
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
Faculty Publications
Micromechanical modelling of particulate composites with non-ellipsoidal particle shapes presents significant challenges because analytical approaches based on the fundamental results of Eshelby cannot be used. On the other side, direct numerical evaluations by finite element analysis can involve high computational cost in the case when particle features have small radius of curvature, sharp edges and require extremely fine meshes. This paper proposes substituting the exact particle shape with a surrogate model producing approximately the same contribution to the effective elastic moduli. We illustrate our approach by considering rotationally symmetric 3D particle shapes with the external surface defined by the Laplace's …
Taming The Wild West: Can Order Be Restored To The Collegiate Playing Fields?, Edward D. Cavanagh
Taming The Wild West: Can Order Be Restored To The Collegiate Playing Fields?, Edward D. Cavanagh
Faculty Publications
On May 23, 2024, the NCAA and member conferences entered into a historic settlement to resolve the House case, a class action lawsuit brought on behalf of some 14,000 college athletes seeking damages for lost opportunities to gain financial benefits from their schools' use of their name, image, and likeness ("NIL") due to the NCAA's past denials of NIL compensation from media broadcasts, video games, and third parties. The trial court had certified damage classes consisting of (1) men's football and basketball players; (2) women's basketball players; and (3) other sports. As part of the settlement, defendants agreed to pay …
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
On Application Of A Surrogate Model To Numerical Evaluation Of Effective Elastic Properties Of Composites With 3d Rotationally Symmetric Particles, Pascal Alexander Happ, Igor Tsukrov, Romana Piat
Faculty Publications
Micromechanical modelling of particulate composites with non-ellipsoidal particle shapes presents significant challenges because analytical approaches based on the fundamental results of Eshelby cannot be used. On the other side, direct numerical evaluations by finite element analysis can involve high computational cost in the case when particle features have small radius of curvature, sharp edges and require extremely fine meshes. This paper proposes substituting the exact particle shape with a surrogate model producing approximately the same contribution to the effective elastic moduli. We illustrate our approach by considering rotationally symmetric 3D particle shapes with the external surface defined by the Laplace's …
Innovation Challenges In The Air Force Sbir Program: From The Small Businesses’ Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., R. David Fass
Innovation Challenges In The Air Force Sbir Program: From The Small Businesses’ Perspective, Hart J. Holt, Amy M. Cox, Scott Drylie, David S. Long, Alfred E. Thal Jr., R. David Fass
Faculty Publications
Every year the United States invests $3.2 billion in the Small Business Innovation Research (SBIR) program to promote innovation among the nation’s small businesses. Half of this investment is from the DoD. This research considers the challenges faced by small businesses innovating with the DoD, particularly those awarded SBIR contracts with the United States Air Force. The authors surveyed 286 unique small businesses that were previously awarded an Air Force SBIR contract. By asking the survey respondents open-ended questions and categorizing their responses, they pinpoint unaddressed challenges from the small business perspective. By categorizing survey responses through Qualitative Content Analysis, …
Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine
Production Box Cost Estimating Relationships For Dod Avionics, Carla J. Cisneros, Edward D. White, Brandon M. Lucas, Jonathan D. Ritschel, Robert D. Fass, Shawn M. Valentine
Faculty Publications
The authors use historical information obtained from the Cost Assessment Data Enterprise to estimate recurring production unit cost for DoD avionics via cost estimating relationships (CERs). The specific modeled responses include mean unit cost, median unit cost, and the 100th production unit cost (T100) utilizing learning curve theory. For T100, the authors adopt both a multiplicative and an additive error for CER comparison. Recommended CERs consist of the mean unit cost and the T100 utilizing a multiplicative error. Moreover, results reveal that weight has a significant effect on cost as well as a potential underaccounting of real price change or …
High-Latitude Observations Of Dissipation-Range Turbulence By The Ulysses Spacecraft During The Solar Minimum Of 1993–96: The Spectral Break And Anisotropy, Abigale S. Watson, Charles W. Smith, Anastasia V. Marchuk, Matthew R. Argall, Colin J. Joyce, Philip A. Isenberg, Bernard J. Vasquez, Nathan A. Schwadron, Neil Murphy
High-Latitude Observations Of Dissipation-Range Turbulence By The Ulysses Spacecraft During The Solar Minimum Of 1993–96: The Spectral Break And Anisotropy, Abigale S. Watson, Charles W. Smith, Anastasia V. Marchuk, Matthew R. Argall, Colin J. Joyce, Philip A. Isenberg, Bernard J. Vasquez, Nathan A. Schwadron, Neil Murphy
Faculty Publications
We examine Ulysses magnetic field observations from 1993 to 1996 as the spacecraft made its first fast-latitude scan from the southern to the northern hemisphere. Most of the observations we use are representative of high-latitude solar minimum conditions. We examine magnetic field power spectra characteristics of interplanetary turbulence at high frequencies, where the spectrum breaks from an inertial range into the ion dissipation range. The onset and spectral index of the dissipation spectrum are consistent with low-latitude observations at 1 au. Both ranges have a ratio of power in perpendicular magnetic field components to parallel components near 3. The power …
Dynamic Localization Of Endoplasmic Reticulum During Tetrahymena Conjugation, Guerrier Sabrice, Michael Patterson, Kaitlin Crofton, Michael Tucker, Shyhiem Walker
Dynamic Localization Of Endoplasmic Reticulum During Tetrahymena Conjugation, Guerrier Sabrice, Michael Patterson, Kaitlin Crofton, Michael Tucker, Shyhiem Walker
Faculty Publications
Changes in lipid composition at membrane fusion sites in mating Tetrahymena are thought to involve the endoplasmic reticulum (ER), but its localization to these sites has not been observed. Here we show ER distribution during Tetrahymena mating using TtRET1-GFP and GFP-KDEL. We find that both markers localize to perinuclear membranes and tubular structures that connect perinuclear membrane to plasma membrane at fusion sites. Interestingly, both markers disappear from parental macronuclei after emergence of zygotic macronuclei. These similarities in localization of established ER marker, GFP-KDEL, and TtRET1-GFP reveal TtRET1-GFP as a useful new live cell marker for the ER in Tetrahymena.
Accurate Crystal Structure Prediction Of New 2d Hybrid Organic–Inorganic Perovskites, Nima Karimitari, William J. Baldwin, Evan W. Muller, Zachary J.L. Bare, W. Joshua Kennedy, Gábor Csányi, Christopher Sutton
Accurate Crystal Structure Prediction Of New 2d Hybrid Organic–Inorganic Perovskites, Nima Karimitari, William J. Baldwin, Evan W. Muller, Zachary J.L. Bare, W. Joshua Kennedy, Gábor Csányi, Christopher Sutton
Faculty Publications
Low-dimensional hybrid organic–inorganic perovskites (HOIPs) are promising electronically active materials for light absorption and emission. The design space of HOIPs is extremely large, as a variety of organic cations can be combined with different inorganic frameworks. This not only allows for tunable electronic and mechanical properties but also necessitates the development of new tools for in silico high throughput analysis of candidate materials. In this work, we present an accurate, efficient, and widely applicable machine learning interatomic potential (MLIP) trained on 86 diverse experimentally reported HOIP materials. This MLIP was tested on 73 experimentally reported perovskite compositions and achieves a …
A Granular Investigation On The Stability Of Money Demand, Zhengyang Chen, Victor J. Valcarcel
A Granular Investigation On The Stability Of Money Demand, Zhengyang Chen, Victor J. Valcarcel
Faculty Publications
A large literature has shown money demand functions constructed from simple-sum aggregates are unstable. We revisit the controversy surrounding the instability of money demand by examining cointegrating income-money relationships with the Divisia monetary aggregates for the U.S., and compare them with their simple-sum counterparts. We innovate by conducting a more granular analysis of various monetary assets and their associated user costs. We find characterizing money demand with simple-sum measures only works well in a period preceding 1980. Divisia aggregates, their components, and their user costs provide a more reliable interpretation of money demand. Subsample analysis across 1980 and 2008 suggests …
The Power Of Homeownership: The Case For Iowa Heartland Habitat For Humanity, Esha Jayswal, Joseph Ugrin, Disa Cornish, Brent Buhr, Ali Parrish
The Power Of Homeownership: The Case For Iowa Heartland Habitat For Humanity, Esha Jayswal, Joseph Ugrin, Disa Cornish, Brent Buhr, Ali Parrish
Faculty Publications
This research examines the impact of financially assisted homeownership for Iowa Heartland Habitat for Humanity home recipients as measured in life satisfaction. We develop and assess a model with homeownership as the independent variable and financial well-being, current health, and psychological well-being as mediating variables that impact life satisfaction. We utilize data from 184 Iowa Heartland Habitat for Humanity homeowners and applicants to test the model. The findings show that homeownership through Iowa Heartland Habitat for Humanity is related to life satisfaction. That relationship is partially mediated by financial well-being, current health, and psychological well-being, where the mediating variables amplify …
Comparing The Health Information Practices Of Sapphic People By Age Group And Generation, Vanessa Lynn Kitzie
Comparing The Health Information Practices Of Sapphic People By Age Group And Generation, Vanessa Lynn Kitzie
Faculty Publications
This qualitative research examines how sapphic people (i.e., umbrella term inclusive of lesbian, bisexual, and pansexual trans femmes, mascs, nonbinary people, and ciswomen) in South Carolina navigate informational barriers within healthcare systems. An information practices lens that examines how sapphic people create, seek, use, and share information to achieve desired healthcare outcomes describes such navigation. The research focuses on how intersectional identities, with a particular emphasis on age and considerations of race/ethnicity, geography, and gender, mediate these practices and their outcomes. The research uses participant data from semi-structured interviews and focus groups with 34 sapphic people about their health information …
High-Fidelity Machine Learning Techniques For Driver Drowsiness Detection, Yasser Ismail, Ebenezer Essel, Abeer Abdelhamid, Mahmoud Darwich, Fahmi Khalifa, Fred Lacy
High-Fidelity Machine Learning Techniques For Driver Drowsiness Detection, Yasser Ismail, Ebenezer Essel, Abeer Abdelhamid, Mahmoud Darwich, Fahmi Khalifa, Fred Lacy
Faculty Publications
It is devastating that daily, there is an ample number of car crashes that cause damage to automobiles, onboard passengers get injured, and others tend to lose their lives. Road crashes are fast rising across the globe and have drawn many road safety commissions and concerned individuals to discuss ways to reduce this menacing situation drastically. With the introduction of artificial intelligence and technological advancement, the government and state commissions have beckoned on the various universities and research institutions to develop methods to curb the rise of automobile crashes. Some causes of these crashes include drunk driving and drowsiness, the …
Finite Element Modeling And Analysis Of Rc Shear Walls With Cutting-Out Openings, Islam M. Saad, Mohamed Emara, Ayman El-Zohairy, Sherif El-Beshlawy
Finite Element Modeling And Analysis Of Rc Shear Walls With Cutting-Out Openings, Islam M. Saad, Mohamed Emara, Ayman El-Zohairy, Sherif El-Beshlawy
Faculty Publications
In recent decades, reinforced concrete (RC) shear walls have been one of the best structural solutions to resist lateral load in high-rise buildings. Shear wall openings are essential for preparations and architectural requirements, which weaken the wall, reducing bearing capacity, energy absorption, and stiffness while also causing stress concentrations. This paper presents a comprehensive finite element (FE) investigation of the behavior and performance of RC shear walls with openings and subjected to lateral loads. The study aims to evaluate the influence of various parameters, such as opening location, size, wall aspect ratio, axial load, and concrete strength, which affect the …
Exploring Barriers To Effective Covid-19 Risk Mitigation, Recovery, And Chronic Disease Self-Management: A Qualitative Multilevel Perspective, Gayenell S. Magwood Phd, Rn, Faha, Faan, Charles Ellis Jr, Chanita Hughes Halbert, Ebony Allen Toussaint, Jewel Scott Phd, Rn, Fnp-C, Lynne S. Nemeth
Exploring Barriers To Effective Covid-19 Risk Mitigation, Recovery, And Chronic Disease Self-Management: A Qualitative Multilevel Perspective, Gayenell S. Magwood Phd, Rn, Faha, Faan, Charles Ellis Jr, Chanita Hughes Halbert, Ebony Allen Toussaint, Jewel Scott Phd, Rn, Fnp-C, Lynne S. Nemeth
Faculty Publications
Introduction: Many research activities have focused on SARS-CoV-2 infection and subsequent COVID-19 respiratory illness during the pandemic. However, significant racial inequities emerged months after the COVID-19 pandemic began. The similarity between racial/ ethnic disparities in COVID-19 and those for other diseases raised awareness about the context for risk exposure and healthcare access. The purpose of this study is to examine social and structural determinants of health among COVID-19 survivors, carepartners, and the perspectives of healthcare stakeholders who experienced disruption during the early pandemic.
Material and methods: A purposive sample of interviews (n=9) and focus groups (n=10) were used to collect …
Removal Of Common Antimicrobial Agents By Sustained Low- Efficiency Dialysis, Joanna Q. Hudson Pharmd, Bcps, Fasn, Fccp, Madelyn N. Hilgers Bs, Pharmd Candidate, Elvira O. Gosmanova Md
Removal Of Common Antimicrobial Agents By Sustained Low- Efficiency Dialysis, Joanna Q. Hudson Pharmd, Bcps, Fasn, Fccp, Madelyn N. Hilgers Bs, Pharmd Candidate, Elvira O. Gosmanova Md
Faculty Publications
Adequate dosing of antimicrobials is paramount for treating infections in critically ill patients undergoing kidney replacement therapy; however, little is known about antimicrobial removal by sustained low-efficiency dialysis (SLED). The objective was to quantify the removal of cefepime, daptomycin, meropenem, piperacillin–tazobactam, and vancomycin in patients undergoing SLED. Adult patients ≥18 years with acute kidney injury (AKI) or end-stage kidney disease receiving one of the select antimicrobials and requiring SLED were included. Blood and dialysate flow rates were maintained at 250 and 100 mL/min, respectively. Simultaneous arterial and venous blood samples for the analysis of antibiotic concentrations were collected hourly for …
The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe
The Evaluation Of Machine Learning Techniques For Isotope Identification Contextualized By Training And Testing Spectral Similarity, Aaron P. Fjelsted, Tyler J. Morrow, Clayton D. Scott, Yilun Zhu, Darren E. Holland, Azaree T. Lintereur, Douglas E. Wolfe
Faculty Publications
Precise gamma-ray spectral analysis is crucial in high-stakes applications, such as nuclear security. Research efforts toward implementing machine learning (ML) approaches for accurate analysis are limited by the resemblance of the training data to the testing scenarios. The underlying spectral shape of synthetic data may not perfectly reflect measured configurations, and measurement campaigns may be limited by resource constraints. Consequently, ML algorithms for isotope identification must maintain accurate classification performance under domain shifts between the training and testing data. To this end, four different classifiers (Ridge, Random Forest, Extreme Gradient Boosting, and Multilayer Perceptron) were trained on the same dataset …