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Articles 2431 - 2460 of 37064
Full-Text Articles in Entire DC Network
Should State Land In Southern California Be Allocated To Warehousing Goods Or Housing People? Analyzing Transportation, Climate, And Unintended Consequences Of Supply Chain Solutions, Tianjun Lu, Jian-Yu Ke, Azure Fisher, Mahmoud Salari, Patricia Valladolid, Fynnwin Prager
Should State Land In Southern California Be Allocated To Warehousing Goods Or Housing People? Analyzing Transportation, Climate, And Unintended Consequences Of Supply Chain Solutions, Tianjun Lu, Jian-Yu Ke, Azure Fisher, Mahmoud Salari, Patricia Valladolid, Fynnwin Prager
Mineta Transportation Institute
In response to COVID-19 pandemic supply chain issues, the State of California issued Executive Order (EO) N-19-21 to use state land to increase warehousing capacity. This highlights a land-use paradox between economic and environmental goals: adding warehouse capacity increases climate pollution and traffic congestion around the ports and warehouses, while there is a deficit of affordable housing and high homeless rates in port-adjacent underserved communities. This study aims to inform regional policymakers and community stakeholders about these trade-offs by identifying current and future supply of and demand for warehousing and housing in Southern California through 2040. The study uses statistical …
Learning About Street Harassment On Transit: A Survey Instrument For Transit Agencies, Asha Weinstein Agrawal, Jon Canapary, Carol Anne Caroll, Tam J. Guy, Anastasia Loukaitou-Sideris
Learning About Street Harassment On Transit: A Survey Instrument For Transit Agencies, Asha Weinstein Agrawal, Jon Canapary, Carol Anne Caroll, Tam J. Guy, Anastasia Loukaitou-Sideris
Mineta Transportation Institute
This study was conducted in accordance with California Senate Bill 1161 (2022), legislation that directed the Mineta Transportation Institute to develop a reliable, easy-to-use survey instrument for collecting information from public transit passengers about the extent, location, and characteristics of any street harassment they experience. Although the legislation is focused on large California transit agencies, the study findings are equally relevant to smaller agencies and agencies outside the state. To develop the recommended questionnaire, we reviewed literature about street harassment, analyzed transit passenger surveys to explore the questions asked about safety and harassment, received feedback on iterative drafts of the …
A Study Of Using E-Resources By Research Scholars In Selected Institutions Of Southern Tamilnadu: Regression Analysis, Senthur Vel Murugan Librarian
A Study Of Using E-Resources By Research Scholars In Selected Institutions Of Southern Tamilnadu: Regression Analysis, Senthur Vel Murugan Librarian
Library Philosophy and Practice (e-journal)
The present examination has been grasped to answer what is the impact of e-resources. This investigation relies upon the customer capacity of the assessment researchers of the picked association of southern Tamilnadu. E-Resources, particularly in advanced education and research, is getting a prime spot in scholastic exercises. The scholarly network is gradually exchanging over from utilizing print assets to e-assets. Changing the need for the scholarly network for e-assets makes another test to the library of the executives at chosen organizations. Studies are directed to think about the need for and utilization of e-assets for scholarly purposes. This investigation is …
Practicing And Marketing With Empathy In Libraries, Wren Daniel Ambroise
Practicing And Marketing With Empathy In Libraries, Wren Daniel Ambroise
Library Philosophy and Practice (e-journal)
In 2017, Abigail Phillips, a postdoctoral fellow at Utah State University wrote, “The role of empathy in the library has been infrequently researched in library and information science (LIS) literature. However, as demonstrated in the reactions of libraries and librarians during recent social movements, empathy is a critical component of librarianship and routine library work” (Phillips 1). Over the last twenty years, numerous researchers have argued the same; this paper enters into conversation several texts from the late 2000s to the early 2020s that conceptualize the intersections between empathy marketing and librarianship and/or put them into practice. It first defines …
Using File And Folder Naming And Structuring To Improve Automated Detection Of Child Sexual Abuse Images On The Dark Web, Bryce Westlake, Enrique Guerra
Using File And Folder Naming And Structuring To Improve Automated Detection Of Child Sexual Abuse Images On The Dark Web, Bryce Westlake, Enrique Guerra
Faculty Research, Scholarly, and Creative Activity
Increasing dissemination of child sexual abuse material (CSAM), especially on the Dark Web, has necessitated greater reliance on automated detection tools. These tools typically match images and videos to known CSAM databases, which is an ineffective method for identifying unknown CSAM. To identify potential complimentary methods, we analysed 162 unique known images, displayed 7289 times on 988 Dark Web websites, to determine if patterns in file/folder naming and structuring tendencies existed on websites. Overall, websites prioritised organisation (ease of access) over obfuscation (security) and hosted almost all images they displayed. File/folder names were commonly alphanumeric, however, there was evidence of …
Impacts Of Marine Heatwaves On Top Predator Distributions Are Variable But Predictable, Heather Welch, Matthew S. Savoca, Stephanie Brodie, Michael G. Jacox, Barbara A. Muhling, Thomas A. Clay, Megan A. Cimino, Scott R. Benson, Barbara A. Block, Melinda G. Conners, Daniel P. Costa, Fredrick D. Jordan, Andrew W. Leising, Chloe S. Mikles, Daniel M. Palacios, Scott A. Shaffer, Lesley H. Thorne, Jordan T. Watson, Rachel R. Holser
Impacts Of Marine Heatwaves On Top Predator Distributions Are Variable But Predictable, Heather Welch, Matthew S. Savoca, Stephanie Brodie, Michael G. Jacox, Barbara A. Muhling, Thomas A. Clay, Megan A. Cimino, Scott R. Benson, Barbara A. Block, Melinda G. Conners, Daniel P. Costa, Fredrick D. Jordan, Andrew W. Leising, Chloe S. Mikles, Daniel M. Palacios, Scott A. Shaffer, Lesley H. Thorne, Jordan T. Watson, Rachel R. Holser
Faculty Research, Scholarly, and Creative Activity
Marine heatwaves cause widespread environmental, biological, and socio-economic impacts, placing them at the forefront of 21st-century management challenges. However, heatwaves vary in intensity and evolution, and a paucity of information on how this variability impacts marine species limits our ability to proactively manage for these extreme events. Here, we model the effects of four recent heatwaves (2014, 2015, 2019, 2020) in the Northeastern Pacific on the distributions of 14 top predator species of ecological, cultural, and commercial importance. Predicted responses were highly variable across species and heatwaves, ranging from near total loss of habitat to a two-fold increase. Heatwaves rapidly …
Non-Invasive Arterial Blood Pressure Measurement And Spo2 Estimation Using Ppg Signal: A Deep Learning Framework, Yan Chu, Kaichen Tang, Yu Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, Shayan Shams
Non-Invasive Arterial Blood Pressure Measurement And Spo2 Estimation Using Ppg Signal: A Deep Learning Framework, Yan Chu, Kaichen Tang, Yu Chun Hsu, Tongtong Huang, Dulin Wang, Wentao Li, Sean I. Savitz, Xiaoqian Jiang, Shayan Shams
Faculty Research, Scholarly, and Creative Activity
Background: Monitoring blood pressure and peripheral capillary oxygen saturation plays a crucial role in healthcare management for patients with chronic diseases, especially hypertension and vascular disease. However, current blood pressure measurement methods have intrinsic limitations; for instance, arterial blood pressure is measured by inserting a catheter in the artery causing discomfort and infection. Method: Photoplethysmogram (PPG) signals can be collected via non-invasive devices, and therefore have stimulated researchers’ interest in exploring blood pressure estimation using machine learning and PPG signals as a non-invasive alternative. In this paper, we propose a Transformer-based deep learning architecture that utilizes PPG signals to conduct …
Predicting Multiple Sclerosis Severity With Multimodal Deep Neural Networks, Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams
Predicting Multiple Sclerosis Severity With Multimodal Deep Neural Networks, Kai Zhang, John A. Lincoln, Xiaoqian Jiang, Elmer V. Bernstam, Shayan Shams
Faculty Research, Scholarly, and Creative Activity
Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability Status Scale, composed of several functional sub-scores. Early and accurate classification of MS disease severity is critical for slowing down or preventing disease progression via applying early therapeutic intervention strategies. Recent advances in deep learning and the wide use of Electronic Health Records (EHR) create opportunities to apply data-driven and predictive modeling tools for this goal. Previous studies focusing on using single-modal machine learning …
Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 4 Survey, Carol Kachadoorian
Cycling Past 50: A Closer Look Into The World Of Older Cyclists, Year 4 Survey, Carol Kachadoorian
Mineta Transportation Institute
This document reports on approximately 5,000 responses to a North American survey of older adults who cycle. The survey, open from August 2021 through March 2022, included questions that captured a person’s cycling over their life course, as well as their current cycling styles, habits, and preferences. Responses reflect the impact of various factors on an older adult’s cycling habits with respect to their ability and agility and their expectation to continue cycling. The survey asked about falls and near misses in the past-year coding fall descriptions into six categories and sorting them by the respondent’s gender and age. The …
Rapid Disintegration And Weakening Of Ice Shelves In North Greenland, R. Millan, E. Jager, J. Mouginot, M. H. Wood, S. H. Larsen, P. Mathiot, N. C. Jourdain, A. Bjørk
Rapid Disintegration And Weakening Of Ice Shelves In North Greenland, R. Millan, E. Jager, J. Mouginot, M. H. Wood, S. H. Larsen, P. Mathiot, N. C. Jourdain, A. Bjørk
Faculty Research, Scholarly, and Creative Activity
The glaciers of North Greenland are hosting enough ice to raise sea level by 2.1 m, and have long considered to be stable. This part of Greenland is buttressed by the last remaining ice shelves of the ice sheet. Here, we show that since 1978, ice shelves in North Greenland have lost more than 35% of their total volume, three of them collapsing completely. For the floating ice shelves that remain we observe a widespread increase in ice shelf mass losses, that are dominated by enhanced basal melting rates. Between 2000 and 2020, there was a widespread increase in basal …
Influence Of Pavement Conditions On Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, Adam Gatiba
Influence Of Pavement Conditions On Commercial Motor Vehicle Crashes, Stephen Arhin, Babin Manandhar, Adam Gatiba
Mineta Transportation Institute
Commercial motor vehicle (CMV) safety is a major concern in the United States, including the District of Columbia (DC), where CMVs make up 15% of traffic. This research uses a comprehensive approach, combining statistical analysis and machine learning techniques, to investigate the impact of road pavement conditions on CMV accidents. The study integrates traffic crash data from the Traffic Accident Reporting and Analysis Systems Version 2.0 (TARAS2) database with pavement condition data provided by the District Department of Transportation (DDOT). Data spanning from 2016 to 2020 was collected and analyzed, focusing on CMV routes in DC. The analysis employs binary …
Exploring Traffic Speed Patterns For The Implementation Of Variable Speed Limit (Vsl) Signs, Panick Kalambay, Srinivas Pulugurtha
Exploring Traffic Speed Patterns For The Implementation Of Variable Speed Limit (Vsl) Signs, Panick Kalambay, Srinivas Pulugurtha
Mineta Transportation Institute
Traffic congestion is a prevalent issue during peak travel hours on roads in the United States. This study focuses on identifying suitable road links in Charlotte, North Carolina, for implementing variable speed limit (VSL) signs. Real-world traffic speed data collected over one year was analyzed to identify specific road links with favorable characteristics for VSL sign installations. The analysis considered weekdays, weekends, and specific times of the day to capture variations in speed patterns. The results revealed that roads with lower speed limits consistently experienced speeds exceeding the posted speed limits, suggesting additional enforcement or safety measures. For roads with …
Understanding The Effect Of Pervasive Events On Vehicle Travel Time Patterns, Chirag Akbari, Ninad Gore, Srinivas S. Pulugurtha
Understanding The Effect Of Pervasive Events On Vehicle Travel Time Patterns, Chirag Akbari, Ninad Gore, Srinivas S. Pulugurtha
Mineta Transportation Institute
The COVID-19 pandemic has disrupted daily activities and travel patterns, affecting personal and commercial trips. This study investigates the effect of different stages of the pandemic on travel time patterns. Eighty-six geographically distributed links (sections of road) in Mecklenburg County and Buncombe County, North Carolina, were selected for analysis. The selected links accounted for the variation in road geometry, land use, and speed limit. Travel time data for three years (i.e., 2019, 2020, and 2021) were extracted from a private data source at 5-min intervals. Travel time reliability (TTR) and travel time variability (TTV) are estimated for different phases of …
Deep Learning, Machine Learning, Or Statistical Models For Weather-Related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, Srinivas S. Pulugurtha
Deep Learning, Machine Learning, Or Statistical Models For Weather-Related Crash Severity Prediction, Abimbola Ogungbire, Panick Kalambay, Hardik Gajera, Srinivas S. Pulugurtha
Mineta Transportation Institute
Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered probit model (OPM) were evaluated as statistical models, while random forest (RF) and XGBoost …
Autonomous Shuttle Implementation And Best Practices, Dil Samina Diba, Ninad Gore, Srinivas S. Pulugurtha
Autonomous Shuttle Implementation And Best Practices, Dil Samina Diba, Ninad Gore, Srinivas S. Pulugurtha
Mineta Transportation Institute
When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would be an excellent supplement to public transportation. However, improvements to the vehicle and the infrastructure are needed before any permanent deployment. The study also analyzes the perceptions of practitioners, industry experts, and transportation system users toward autonomous shuttles. Principal Component Analysis (PCA) and Multiple Input Multiple Cause Structural Equation Modelling (SEM) approaches were …
Evaluating Benefits From Transportation Investments Aligned With The Climate Action Plan For Transportation Infrastructure (Capti), Serena Alexander, Shams Tanvir, T. William Lester
Evaluating Benefits From Transportation Investments Aligned With The Climate Action Plan For Transportation Infrastructure (Capti), Serena Alexander, Shams Tanvir, T. William Lester
Mineta Transportation Institute
Building upon two executive orders targeting the mitigation of greenhouse gas (GHG) emissions in California, the Climate Action Plan for Transportation Infrastructure (CAPTI) offers a comprehensive plan to work toward a more unified vision for transportation that prioritizes climate, health, and social equity. The purpose of this project was to help evaluate the benefits from transportation investments across the State of California. With support from Caltrans, the research team provided a holistic evaluation framework that involved an analysis of vehicle miles traveled (VMT) and emissions impacts, an economic impact analysis, and an equity analysis of transportation investments in California. Findings …
Covid-19 Vaccine Or Booster Hesitancy Among Children Aged 6 Month-5 Years, 5–11 Years, And 12–17 Years In The United States: An Analytic Cross-Sectional Study, Chulwoo Park, Pyramida Vagoyan Zabala, Airi Irene Trisnadi
Covid-19 Vaccine Or Booster Hesitancy Among Children Aged 6 Month-5 Years, 5–11 Years, And 12–17 Years In The United States: An Analytic Cross-Sectional Study, Chulwoo Park, Pyramida Vagoyan Zabala, Airi Irene Trisnadi
Faculty Research, Scholarly, and Creative Activity
With the increased accessibility of COVID-19 vaccine, many households have had concerns when vaccinating children, leading to vaccine hesitancy. This study examined the COVID-19 vaccine and booster hesitancy among children aged 6 months-5 years, 5–11 years, and 12–17 years in the United States. We analyzed data from Phase 3.8 (March 1, 2023 to May 8, 2023) of the Household Pulse Survey (HPS) collected by the U.S. Census Bureau. We conducted survey-weighted multiple logistic regression models in vaccine hesitancy among respondents with children from those three different age groups, controlling for various demographic factors such as COVID-19 vaccination status, COVID-19 …
Factors Associated With Covid-19 Vaccination Status: A Cross-Sectional Study Of California Students In Higher Education, Marcelle M. Dougan, Anji Buckner
Factors Associated With Covid-19 Vaccination Status: A Cross-Sectional Study Of California Students In Higher Education, Marcelle M. Dougan, Anji Buckner
Faculty Research, Scholarly, and Creative Activity
To examine the factors associated with coronavirus vaccine hesitancy among students in higher education, we conducted a cross-sectional mixed-methods study between June and August 2021 among California students in higher education (n = 4444). We collected information on vaccination status, socio-demographics, and attitudes towards coronavirus vaccination. After adjusting for social demographics and social network characteristics, compared to those with household members who were vaccinated, those who had household members who were unvaccinated had 0.11 (95% CI 0.09 – 0.14) times the odds of being vaccinated. Political identification was related to vaccination status: compared to those who did not identify with …
Centering Culturally Relevant And Sustaining Special Education Preparation, Taucia Gonzalez, Saili Kulkarni, Adai Tafera
Centering Culturally Relevant And Sustaining Special Education Preparation, Taucia Gonzalez, Saili Kulkarni, Adai Tafera
Faculty Research, Scholarly, and Creative Activity
No abstract provided.
Health Disparities In One Of The World’S Most Progressive Countries: A Scoping Review Of Mental Health And Substance Use Among Sexual And Gender Minority People In The Netherlands, Tonda L. Hughes, Lauren Bochicchio, Laurie Drabble, Maaike Muntinga, Jan S. Jukema, Cindy B. Veldhuis, Sunčica Bruck, Henny Bos
Health Disparities In One Of The World’S Most Progressive Countries: A Scoping Review Of Mental Health And Substance Use Among Sexual And Gender Minority People In The Netherlands, Tonda L. Hughes, Lauren Bochicchio, Laurie Drabble, Maaike Muntinga, Jan S. Jukema, Cindy B. Veldhuis, Sunčica Bruck, Henny Bos
Faculty Research, Scholarly, and Creative Activity
Background: Evidence from many parts of the world shows that sexual and gender minority (SGM) people have poorer health than their cisgender heterosexual counterparts. Minority stressors, particularly stigma and discrimination, have been identified as major contributors to sexual orientation- and gender identity-related health disparities, particularly negative mental health and behavioral health outcomes. To better understand factors that contribute to these disparities, we conducted a scoping review of SGM mental health and substance use research in the Netherlands—a country with a long-standing reputation as a pioneer in SGM equality. Methods: Using Joanna Briggs Institute guidelines and the PRISMA-ScR protocol, we searched …
Using Ecological Momentary Assessments To Understand How Drinking During Special Occasions Relates To Parenting Behaviors, Bridget Freisthler, Joselyn Sarabia, Jennifer Price Wolf
Using Ecological Momentary Assessments To Understand How Drinking During Special Occasions Relates To Parenting Behaviors, Bridget Freisthler, Joselyn Sarabia, Jennifer Price Wolf
Faculty Research, Scholarly, and Creative Activity
Background: Drinking on special occasions (e.g., Super Bowl, Christmas) often results in more alcohol consumed. Further, police often report higher levels of crime, such as assaults and domestic violence, on days of major sporting events (e.g., Super Bowl, World Cup). Yet, drinking behaviors of parents during special occasions or large sporting events have not been assessed for their effects on parenting behaviors. Here, we assess the relationship between drinking during the Super Bowl and on Valentine's Day to determine whether they differ. Methods: Participants, recruited from social media, completed a 40-min baseline survey and 14 days of three daily Ecological …
The Star Formation Histories Of Quiescent Ultra-Diffuse Galaxies And Their Dependence On Environment And Globular Cluster Richness, Anna Ferré-Mateu, Jonah S. Gannon, Duncan A. Forbes, Maria Luisa Buzzo, Aaron J. Romanowsky, Jean P. Brodie
The Star Formation Histories Of Quiescent Ultra-Diffuse Galaxies And Their Dependence On Environment And Globular Cluster Richness, Anna Ferré-Mateu, Jonah S. Gannon, Duncan A. Forbes, Maria Luisa Buzzo, Aaron J. Romanowsky, Jean P. Brodie
Faculty Research, Scholarly, and Creative Activity
We derive the stellar population parameters of 11 quiescent ultra-diffuse galaxies (UDGs) from Keck/KCWI data. We supplement these with 14 literature UDGs, creating the largest spectroscopic sample of UDGs to date (25). We find a strong relationship between their α-enhancement and their star formation histories: UDGs that formed on very short time-scales have elevated [Mg/Fe] abundance ratios, whereas those forming over extended periods present lower values. Those forming earlier and faster are overall found in high-density environments, being mostly early infalls into the cluster. No other strong trends are found with infall times. We analyse the stellar mass-metallicity, age-metallicity, and …
Empirical Measurements Of Ammonium Excretion In Kelp Forest Fishes: Effects Of Body Size, Taxonomy And Trophic Guild, June Shrestha, Kenneth H. Coale, Scott L. Hamilton
Empirical Measurements Of Ammonium Excretion In Kelp Forest Fishes: Effects Of Body Size, Taxonomy And Trophic Guild, June Shrestha, Kenneth H. Coale, Scott L. Hamilton
Faculty Research, Scholarly, and Creative Activity
Fishes and other consumers excrete metabolic waste products, including dissolved nutrients rich in nitrogen, which is an essential nutrient for primary production. Relatively little is known about the magnitude and variability of nutrients excreted by fishes in kelp forest ecosystems and whether consumer-derived nutrients are important for supporting kelp productivity. In this study, the supply of ammonium (NH4+) excreted by the dominant fishes (30 species representing ∼85% of total fish biomass) was investigated on nearshore rocky reefs in California. Using rapid field incubations, the amount of excreted dissolved ammonium was measured as a function of body size (n = 460 …
Initial Mass Function Variability From The Integrated Light Of Diverse Stellar Systems, Chloe M. Cheng, Alexa Villaume, Michael L. Balogh, Jean P. Brodie, Ignacio Martín-Navarro, Aaron J. Romanowsky, Pieter G. Van Dokkum
Initial Mass Function Variability From The Integrated Light Of Diverse Stellar Systems, Chloe M. Cheng, Alexa Villaume, Michael L. Balogh, Jean P. Brodie, Ignacio Martín-Navarro, Aaron J. Romanowsky, Pieter G. Van Dokkum
Faculty Research, Scholarly, and Creative Activity
We present a uniform analysis of the stellar initial mass function (IMF) from integrated light spectroscopy of 15 compact stellar systems (11 globular clusters in M31 and 4 ultra compact dwarfs in the Virgo cluster, UCDs) and two brightest Coma cluster galaxies (BCGs), covering a wide range of metallicities (-1.7 < [Fe/H] < 0.01) and velocity dispersions (7.4 km s-1 <σ < 275 km s-1). The S/N ∼100 Å-1 Keck LRIS spectra are fitted over the range 4000 < λ/Å < 10 000 with flexible full-spectrum stellar population synthesis models. We use the models to fit simultaneously for ages, metallicities, and individual elemental abundances of the population, allowing us to decouple abundance variations from variations in IMF slope. We show that compact stellar systems do not follow the same trends with physical parameters that have been found for early-type galaxies. Most globular clusters in our sample have an IMF consistent with that of the Milky Way, over a wide range of [Fe/H] and [Mg/Fe]. There is more diversity among the UCDs, with some showing evidence for a bottom-heavy IMF, but with no clear correlation with metallicity, abundance, or velocity dispersion. The two Coma BCGs have similar velocity dispersion and metallicity, but we find the IMF of NGC 4874 is consistent with that of the Milky Way while NGC 4889 presents evidence for a significantly bottom-heavy IMF. For this sample, the IMF appears to vary between objects in a way that is not explained by a single metallicity-dependent prescription.
Characterization Of Essential Eggshell Proteins From Aedes Aegypti Mosquitoes, Jun Isoe, Carter J. Simington, Max E. Oscherwitz, Alyssa J. Peterson, Alberto A. Rascón, Brooke B. Massani, Roger L. Miesfeld, Michael A. Riehle
Characterization Of Essential Eggshell Proteins From Aedes Aegypti Mosquitoes, Jun Isoe, Carter J. Simington, Max E. Oscherwitz, Alyssa J. Peterson, Alberto A. Rascón, Brooke B. Massani, Roger L. Miesfeld, Michael A. Riehle
Faculty Research, Scholarly, and Creative Activity
Background: Up to 40% of the world population live in areas where mosquitoes capable of transmitting the dengue virus, including Aedes aegypti, coexist with humans. Understanding how mosquito egg development and oviposition are regulated at the molecular level may provide new insights into novel mosquito control strategies. Previously, we identified a protein named eggshell organizing factor 1 (EOF1) that when knocked down with RNA interference (RNAi) resulted in non-melanized and fragile eggs that did not contain viable embryos. Results: In this current study, we performed a comprehensive RNAi screen of putative A. aegypti eggshell proteins to identify additional proteins that …
Investigating The Factor Structure And Measurement Invariance Of The Eating Disorder Examination Questionnaire (Ede-Q) Among Cisgender Gay Men And Lesbian Women From The United States, Emilio J. Compte, F. Hunter Mcguire, Tiffany A. Brown, Jason M. Lavender, Stuart B. Murray, Matthew R. Capriotti, Annesa Flentje, Micah E. Lubensky, Mitchell R. Lunn, Juno Obedin-Maliver, Jason M. Nagata
Investigating The Factor Structure And Measurement Invariance Of The Eating Disorder Examination Questionnaire (Ede-Q) Among Cisgender Gay Men And Lesbian Women From The United States, Emilio J. Compte, F. Hunter Mcguire, Tiffany A. Brown, Jason M. Lavender, Stuart B. Murray, Matthew R. Capriotti, Annesa Flentje, Micah E. Lubensky, Mitchell R. Lunn, Juno Obedin-Maliver, Jason M. Nagata
Faculty Research, Scholarly, and Creative Activity
Background: Although the Eating Disorder Examination-Questionnaire (EDE-Q) is one of the most widely used self-report assessments of eating disorder symptoms, evidence indicates potential limitations with its original factor structure and associated psychometric properties in a variety of populations, including sexual minority populations. The aims of the current investigation were to explore several previously published EDE-Q factor structures and to examine internal consistency and measurement invariance of the best-fitting EDE-Q model in a large community sample of cisgender gay men and cisgender lesbian women. Methods: Data were drawn from 1624 adults (1060 cisgender gay men, 564 cisgender lesbian women) who participated …
Investigative Approaches: Lessons Learned From The Radonda Vaught Case, Kimberly N. Williams, Crystal M. Fausett, Elizabeth H. Lazzara, Yuval Bitan, Anthony Andre, Joseph R. Keebler
Investigative Approaches: Lessons Learned From The Radonda Vaught Case, Kimberly N. Williams, Crystal M. Fausett, Elizabeth H. Lazzara, Yuval Bitan, Anthony Andre, Joseph R. Keebler
Faculty Research, Scholarly, and Creative Activity
Accidental patient harms occur frequently in healthcare, but their exact prevalence and interventions that will best prevent them are still poorly understood. In rare cases, healthcare providers who have contributed to accidental patient harm may be criminally prosecuted to obtain justice for the patient and family or to set an example, which theoretically prevents other providers from making similar mistakes due to fear of punishment. A recent case where this strategy was chosen is the RaDonda L. Vaught vs. Tennessee (2022) criminal case. The present article discusses this case and its ramifications, as well as provides concrete recommendations for actions …
A Hybrid Machine Learning And Natural Language Processing Model For Early Detection Of Acute Coronary Syndrome, Joshua Emakhu, Egbe Etu Etu, Leslie Monplaisir, Celestine Aguwa, Suzan Arslanturk, Sara Masoud, Imokhai Theophilus Tenebe, Hashem Nassereddine, Mohamed Hamam, Joseph Miller
A Hybrid Machine Learning And Natural Language Processing Model For Early Detection Of Acute Coronary Syndrome, Joshua Emakhu, Egbe Etu Etu, Leslie Monplaisir, Celestine Aguwa, Suzan Arslanturk, Sara Masoud, Imokhai Theophilus Tenebe, Hashem Nassereddine, Mohamed Hamam, Joseph Miller
Faculty Research, Scholarly, and Creative Activity
Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity. Predicting the associated risks of patients with chest pain using electronic health record data can help identify those needing more tailored care. This study proposes the development of a reliable prediction framework to serve as a diagnostic support tool for preventing misdiagnoses among patients with clinical concerns for ACS. Data were collected from an urban, demographically diverse hospital in Detroit, Michigan, for patients presenting to the emergency department (ED) with primary chief complaints of chest pain from January 2017 to August 2020. This study incorporated term frequency-inverse document …
Research Performance Analysis Of Top Six Heis In Wb Based On Nirf-2021 Ranking: An Evaluation-Based Study, Debdas Mondal
Research Performance Analysis Of Top Six Heis In Wb Based On Nirf-2021 Ranking: An Evaluation-Based Study, Debdas Mondal
Library Philosophy and Practice (e-journal)
The Indian higher education system is the third largest education system in the world, however, no Indian universities have been found in the list of top 100 universities in the world. The Government of India has taken several initiatives to improve the quality of education in India and its ranking position so that Indian universities improve their quality and provide the best quality education and research. NIRF is one such initiative. As per NIRF, all the HEIs are evaluated on the basis of certain stipulated performance of parameters score, such as ’Quantitative Research (QNR)’, ’Qualitative Research (QLR)’, ’Students and Faculty …
Demystifying The Panorama Of Electoral Violence In Nigeria: Exploring Education And E-Library Resources As Antidotes, Grace Ogechukwu Ugwonna, Phd, Chizoba Jovita Akudike, Josephine Ngozi Morah, Anthony Chikadibia Ugwonna
Demystifying The Panorama Of Electoral Violence In Nigeria: Exploring Education And E-Library Resources As Antidotes, Grace Ogechukwu Ugwonna, Phd, Chizoba Jovita Akudike, Josephine Ngozi Morah, Anthony Chikadibia Ugwonna
Library Philosophy and Practice (e-journal)
The incidence of electoral violence in Nigeria and the involvement of youth, has remained a threat to the survival of Democracy. Given the damaging impact it has on the socioeconomic, cultural, religious, and political lives of the people and its threat to human existence, scholars have continued to explore ways of dealing with the enigma. This study therefore sought to ascertain the extent to which Civic education and voter education are relevant in curbing electoral violence among the youth and the extent of using e-library resources by the youth to access political information. This research effort was driven by the …