Digital Commons Network^™

Mixing Optimization With Inward Flow Configuration Contra-Rotating Impeller, Baffle-Free Tank, P. Satjaritanun, J. R. Regalbuto, J. A. Regalbuto, N. Tippayawong, Sirivatch Shimpalee

Faculty Publications

In this study, pitched-blade, contra-rotating impeller, baffle-free tank with opposing inward flow is optimized using various designs of mixers derived from the Taguchi method. Mixing efficiency and torque are used to find the optimal design for the different specific gravities of solid particles employing in both experiments and CFD simulations. The analysis of signal-to-noise ratio shows that the impeller clearance and diameter are significant factors on the fluid flow and thus the mixing efficiency. In this study, 27 cases were studied to determine and report the optimal design parameters. A combination of CFD simulation with a strong design of experiment …

Using Generalizability Theory And The Erp Reliability Analysis (Era) Toolbox For Assessing Test-Retest Reliability Of Erp Scores Part 1: Algorithms, Framework, And Implementation, Scott A. Baldwin, Peter E. Clayson, Kalie A. Carbine, Joseph A. Olsen, Michael J. Larson

Faculty Publications

The reliability of event-related brain potential (ERP) scores depends on study context and how those scores will be used, and reliability must be routinely evaluated. Many factors can influence ERP score reliability; generalizability (G) theory provides a multifaceted approach to estimating the internal consistency and temporal stability of scores that is well suited for ERPs. G theory's approach possesses a number of advantages over classical test theory that make it ideal for pinpointing sources of error in observed scores. The current primer outlines the G-theory approach to estimating internal consistency (coefficients of equivalence) and test-retest reliability (coefficients of stability). This …

Online-Delivered Group And Personal Exercise Programs To Support Low Active Older Adults' Mental Health During The Covid-19 Pandemic: Randomized Controlled Trial, Mark R. Beauchamp, Ryan M. Hulteen, Geralyn R. Ruissen, Yan Liu, Ryan E. Rhodes, Colin M. Wierts, Katrina J. Waldhauser, Samantha H. Harden, Eli Puterman

Faculty Publications

Background: In response to the COVID-19 pandemic, experts in mental health science emphasized the importance of developing and evaluating approaches to support and maintain the mental health of older adults.

Objective: The aim of this study was to assess whether a group-based exercise program relative to a personal exercise program (both delivered online) and waitlist control (WLC) can improve the psychological health of previously low active older adults during the early stages of the COVID-19 pandemic.

Methods: The Seniors COVID-19 Pandemic and Exercise (SCOPE) trial was a 3-arm, parallel randomized controlled trial conducted between May and September 2020 in which …

Production Of Pure Vanadium: Industry Review And Feasibility Study Of Electron Beam Melt Refining Of V–Al Alloys, Devin Rappleye, Rob Haun

Faculty Publications

The vanadium industry has experienced significant change over the last two decades with the emergence of vanadium redox flow batteries for grid-level energy storage, the growing demand for high-strength steel, and the selection of vanadium as a critical material in multiple countries. This review presents the status of the vanadium industry examining production processes and detailing facilities. The available information for each producer is presented including vanadium products and capacity. The production of pure vanadium is identified as a potential vulnerability for some nations where vanadium metal is needed in small, yet strategic, applications and globally only two producers of …

Seasonal Variation Of Multiple-Muon Cosmic Ray Air Showers Observed In The Nova Detector Detector On The Surface, M. A. Acero, P. Adamson, L. Aliaga, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, A. Back, C. Backhouse, M. Baird, N. Balashov, P. Baldi, B. A. Bambah, S. Bashar, K. Bays, R. Bernstein, V. Bhatnagar, B. Bhuyan, J. Bian, Roberto Petti, Et. Al.

Faculty Publications

We report the rate of cosmic ray air showers with multiplicities exceeding 15 muon tracks recorded in the NOvA Far Detector between May 2016 and May 2018. The detector is located on the surface under an overburden of 3.6 meters water equivalent. We observe a seasonal dependence in the rate of multiple-muon showers, which varies in magnitude with multiplicity and zenith angle. During this period, the effective atmospheric temperature and surface pressure ranged between 210 K and 230 K and 940 mbar and 990 mbar, respectively; the shower rates are anticorrelated with the variation in the effective temperature. The variations …

On The Relationship Between Frequency, Features, And Markedness In Inflection: Experimental Evidence From Russian Nouns, Jeffrey R. Parker

Faculty Publications

Markedness has a long tradition in linguistics as a way to describe linguistic asymmetries. In this paper, I investigate an argument about the necessity of markedness as a tool for capturing the structural distribution of inflectional affixes and predicting the behavioral consequences of that distribution. Based on evidence from German adjectives, Clahsen et al. argue that the number of specified features of inflectional affixes (which I argue represents a type of markedness) affects reaction times in lexical access. Affixes’ features, however, overlap with how frequently they occur. Clahsen et al. investigate only three affixes in German, leaving open questions about …

Hydration, Eating Attitudes And Behaviors In Age And Weight-Restricted Youth American Football Players, Susan W. Yeargin, Toni Torres-Mcgehee, Dawn Emerson, Jessica Koller, John Dickinson

Faculty Publications

There is a paucity of research examining hydration and nutrition behaviors in youth American football players. A potentially unique risk factor are league restrictions based on weight (WR) or age (AR). The purpose of this study was to examine hydration status between WR and AR leagues. The secondary purpose was to describe eating patterns in players. An observational cohort design with 63 youth football players (10 ± 1 yrs, 148.2 ± 9.4 cm, 44.9 ± 15.3 kg) was utilized. Independent variables were league (AR ( = 36); WR ( = 27)) and activity type (practice (PX = 8); game (GM …

The Impact Of Micro Porous Layer On Liquid Water Evolution Inside Pemfc Using Lattice Boltzmann Method, Mitchell Sepe, P. Satjaritanun, I. V. Zenyuk, N. Tippayawong, Sirivatch Shimpalee

Faculty Publications

Proton exchange membrane fuel cells (PEMFCs) require a gas diffusion layer to aid in fuel transport to the catalyst sites. A microporous layer (MPL) is often added to the GDL to improve liquid saturation inside gas diffusion media. In this work, the lattice Boltzmann method was applied to four GDL samples with the addition of an MPL. Three injection orientations were used to study liquid evolution through the samples. Each orientation used four different injection pressures, ranging from 5,000 Pa to 8,000 Pa. Saturation data for GDL samples with and without an MPL were compared. Results showed that when adding …

Exploring How Exposure To Truth And State-Sponsored Anti-Tobacco Media Campaigns Affect Smoking Disparities Among Young Adults Using A National Longitudinal Dataset, 2002-2017, David C. Colston, Yanmei Xie, Jim Thrasher Ph.D.,Ma. Ms, Sherry Emery, Megan E. Patrick, Andrea R. Titus, Micheal R. Elliot, Nancy L. Fleischer

Faculty Publications

Background. Little is known regarding long-term impacts of anti-tobacco media campaigns on youth smoking and related disparities in the United States. Methods. We examined longitudinal cohort data from Monitoring the Future (MTF) between 2000 and 2017 in modified Poisson regression models to understand the long-term impacts of televised Truth and state-sponsored ad campaign exposure at baseline (age 18) on first cigarette and daily smoking initiation 1 to 2 years later (at modal ages 19/20). We also used additive interactions to test for potential effect modification between campaign exposure and smoking outcomes by sex, race/ethnicity, and parental educational attainment. Results. We …

Treatment Patterns And Outcomes In Elderly Patients With Newly Diagnosed Multiple Myeloma: Results From The Connect® Mm Registry, Hans C. Lee, Sikander Ailawadhi, Cristina J. Gasparetto, Sundar Jagannath, Robert M. Rifkin, Brian G.M. Durie, Mohit Narang, Howard R. Terebelo, Kathleen Toomey, James W. Hardin Ph.D., Lynne Wagner, James L. Omel, Mazaher Dhalla, Liang Liu, Prashant Joshi, Rafat Abonour

Faculty Publications

No abstract provided.

Measuring Global Multi-Scale Place Connectivity Using Geotagged Social Media Data, Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li

Faculty Publications

Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivity, applications, and metrics. The growing popularity of social media provides a new data stream where spatial social interaction measures are largely devoid of privacy issues, easily assessable, and harmonized. In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement. The multi-scale PCI, demonstrated at the US county level, exhibits a strong positive association with SafeGraph population movement records …

Resettlement Capacity Assessments For Climate Induced Displacements: Evidence From Ethiopia, Solomon Zena Walelign, Susan L. Cutter, Paivi Lujala

Faculty Publications

Climate change migration is increasing and necessitates a re-examination of resettlement planning and processes. Although evidence-based selection of host places would improve climate change resettlement outcomes, few methods for the selection of host communities exist. Consequently, the information base on which most resettlement programs select a host place is often inadequate. This article proposes an empirical methodology to assess resettlement capacity. The methodology uses a hierarchical aggregation approach, where resettlement capacity indicator values are aggregated first into sub-dimension resettlement capacity scores, then further into dimension resettlement capacity scores, and finally into an overall resettlement capacity index. The aggregation allows for …

Measuring Global Multi-Scale Place Connectivity Using Geotagged Social Media Data, Zhenlong Li, Xiao Huang, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li

Faculty Publications

Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivity, applications, and metrics. The growing popularity of social media provides a new data stream where spatial social interaction measures are largely devoid of privacy issues, easily assessable, and harmonized. In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement. The multi-scale PCI, demonstrated at the US county level, exhibits a strong positive association with SafeGraph population movement records …

Addressing Sustainable Rural Development With Shared Value: A Peruvian Model From The Cacao Industry, Armando Borda, Oswaldo Morales, Hildy J. Teegen, Gareth H. Rees, Maria Alejandra Gonzalez-Perez

Faculty Publications

Here we present a model aimed at contributing to the literature around sustainable supply chains by examining a novel redesign initiative of the chocolate supply chain within the Peruvian cacao (cocoa) industry. Using the Creating Shared Value (CSV) framework, we apply the case study method in examining the Peruvian Cacao Alliance's experience in redesigning both the stages and relationships within its supply of cacao to the world. Data were collected from both primary and secondary sources and analyzed after coding from categories defined in the literature on CSV. The case demonstrates the opportunity to successfully participate in the supply chains …

Wheel Running Improves Fasting-Induced Ampk Signaling In Skeletal Muscle From Tumor-Bearing Mice, Dennis K. Fix, Brittany R. Counts, Ashley J. Smuder, Mark A. Sarzynski Ph.D., Faha, Facsm, Ho-Jin Koh, James A. Carson

Faculty Publications

Disruptions to muscle protein turnover and metabolic regulation contribute to muscle wasting during the progression of cancer cachexia. The initiation of cachexia is also associated with decreased physical activity. While chronic muscle AMPK activation occurs during cachexia progression in ApcMin/+ (MIN) mice, a preclinical cachexia model, the understanding of muscle AMPK’s role during cachexia initiation is incomplete. Therefore, we examined if voluntary wheel exercise could improve skeletal muscle AMPK signaling in pre-cachectic MIN mice. Next, we examined muscle AMPK’s role in aberrant catabolic signaling in response to a 12-h fast in mice initiating cachexia. Male C57BL/6 (B6: N …

Spoken Word Learning In Children With Developmental Language Disorder Or Dyslexia, Suzanne M. Adlof, Lauren S. Baron, Bethany A. Bell, Joanna Scoggins

Faculty Publications

Purpose Word learning difficulties have been documented in multiple studies involving children with dyslexia and developmental language disorder (DLD; see also specific language impairment). However, no previous studies have directly contrasted word learning in these two frequently co-occurring disorders. We examined word learning in second-grade students with DLD-only and dyslexia-only as compared to each other, peers with both disorders (DLD + dyslexia), and peers with typical development. We hypothesized that children with dyslexia-only and DLD-only would show differences in word learning due to differences in their core language strengths and weaknesses. Method Children ( = 244) were taught eight novel …

The Lattice Thermal Conductivity In Monolayers Group-Va: From Elements To Binary Compounds, Lu Liu, Chengxiao Peng, Shujuan Jiang, Zhenzhen Feng, Guangbiao Zhang, Chao Wang, Peiyu Zhang, Ming Hu

Faculty Publications

The lattice thermal conductivity (k_L) of the monolayers of partial group-VA elements and binary compounds are systemically investigated by the first-principles calculations and phonon Boltzmann transport equation (PBTE), including aW-antimonene, α-arsenene, black phosphorus, α-SbAs, αSbP and α-AsP. The k_L values decrease with the increasing of atomic mass for these materials with similar geometry and valence structures. It is ascribed to phonon branches softening, low phonon group velocity, and large Grüneisen parameters. Due to the neutralization of phonon group velocity and phonon lifetime, k_L of binary compounds is between their corresponding elements. As the atomic radius …

Medication Adherence Reminder System For Virtual Home Assistants: Mixed Methods Evaluation Study, Cythnia F. Corbett, Elizabeth M. Combs, Peyton S. Chandarana, Isabel Stringfellow, Karen Worthy, Thien Nguyen, Pamela J. Wright Phd, Ms, Med, Rn, Cen, Jason M. O'Kane

Faculty Publications

Background: Medication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take medicines is one of the most common reasons for unintentional medication nonadherence. Research findings indicate that voice-activated virtual home assistants, such as Amazon Echo and Google Home devices, may be useful in promoting medication adherence.

Objective: This study aims to create a medication adherence app (skill), MedBuddy, for Amazon Echo devices and measure the use, usability, and usefulness of this medication-taking reminder skill.

Methods: A single-group, mixed methods, cohort feasibility study was conducted with women who took …

It Takes A Village, Andrea Luxton

Faculty Publications

No abstract provided.

Andrographolide Attenuates Gut-Brain-Axis Associated Pathology In Gulf War Illness By Modulating Bacteriome-Virome Associated Inflammation And Microglia-Neuron Proinflammatory Crosstalk, Punnag Saha, Peter T. Skidmore, Larinda A. Holland, Ayan Mondal, Dipro Bose, Ratanesh K. Seth, Kimberly Sullivan, Patricia A. Janulewicz, Ronnie Horner, Nancy Klimas, Mitzi Nagarkatti, Prakash Nagarkatti, Efrem S. Lim, Saurabh Chatterjee

Faculty Publications

Gulf War Illness (GWI) is a chronic multi-symptomatic illness that is associated with fatigue, pain, cognitive deficits, and gastrointestinal disturbances and presents a significant challenge to treat in clinics. Our previous studies show a role of an altered Gut-Brain axis pathology in disease development and symptom persistence in GWI. The present study utilizes a mouse model of GWI to study the role of a labdane diterpenoid andrographolide (AG) to attenuate the Gut-Brain axis-linked pathology. Results showed that AG treatment in mice (100 mg/kg) via oral gavage restored bacteriome alterations, significantly increased probiotic bacteria , , and , the genera that …

Identification Of Human Kinin-Forming Enzyme Inhibitors From Medicinal Herbs, Hassan Madkhali, Amer Tarawneh, Zulfiqar Ali, Hoang V. Le, Stephen J. Cutler Ph.D.

Faculty Publications

The goal of this study was to assess the pharmacological effects of black tea (Camellia sinensis var. assamica) water extract on human kinin-forming enzymes in vitro. Tea is a highly consumed beverage in the world. Factor XII (FXII, Hageman factor)-independent- and -dependent activation of prekallikrein to kallikrein leads to the liberation of bradykinin (BK) from high-molecular-weight kininogen (HK). The excessive BK production causes vascular endothelial and nonvascular smooth muscle cell permeability, leading to angioedema. The prevalence of angiotensin-converting enzyme inhibitor (ACEI)-induced angioedema appears to be through BK. Both histamine and BK are potent inflammatory mediators. However, the treatments for histamine-mediated …

Cognitive Complaints In Age-Related Chronic Conditions: A Systematic Review, Nikki L. Hill, Sakshi Bhargava, Monique J. Brown, Hyejin Kim, Iris Bhang, Kaitlyn Mullin, Kathleen Phillips, Jacqueline Mogle

Faculty Publications

Introduction

Cognitive complaints in older adults may be indicative of progressive cognitive decline including Alzheimer’s disease (AD), but also occur in other age-related chronic conditions, complicating identification of early AD symptoms. To better understand cognitive complaints in aging, we systematically reviewed the evidence to determine their prevalence and characterization among older adults with the most common age-related chronic conditions.

Methods

This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement and the review protocol was prospectively registered with PROSPERO (ID: CRD42020153147). Searches were conducted in PubMed, CINAHL, PsycINFO, Web of Science, and …

An Operational Overview Of The Export Processes In The Ocean From Remote Sensing (Exports) Northeast Pacific Field Deployment, David A. Siegel, Ivona Cetinic, Jason R. Graff, Craig M. Lee, Norman Nelson, Mary Jane Perry, Inia Soto Ramos, Deborah K. Steinberg, Ken Buesseler, Roberta Hamme, Andrea J. Fassbender, David Nicholson, Melissa M. Omand, Marie Robert, Andrew Thompson, Vinicius Amaral, Michael Behrenfeld, Claudia R. Benitez-Nelson, Kelsey Bisson, Emmanuel Boss, Et. Al.

Faculty Publications

The goal of the EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) field campaign is to develop a predictive understanding of the export, fate, and carbon cycle impacts of global ocean net primary production. To accomplish this goal, observations of export flux pathways, plankton community composition, food web processes, and optical, physical, and biogeochemical (BGC) properties are needed over a range of ecosystem states. Here we introduce the first EXPORTS field deployment to Ocean Station Papa in the Northeast Pacific Ocean during summer of 2018, providing context for other papers in this special collection. The experiment was conducted with …

High-Throughput Computation Of New Carbon Allotropes With Diverse Hybridization And Ultrahigh Hardness, Mohammed Al-Fahdi, Alejandro Rodriguez, Tao Ouyang, Ming Hu

Faculty Publications

The discovery of new carbon allotropes with different building blocks and crystal symmetries has long been of great interest to broad materials science fields. Herein, we report several hundred new carbon allotropes predicted by the state-of-the-art RG² code and first-principles calculations. The types of new carbon allotropes that were identified in this work span pure sp² , hybrid sp²/sp³ , and pure sp³ C–C bonding. All structures were globally optimized at the first-principles level. The thermodynamic stability of some selected carbon allotropes was further validated by computing their phonon dispersions. The predicted carbon allotropes …

Nanoparticles For Targeted Drug Delivery To Cancer Stem Cells: A Review Of Recent Advances, Yavuz Nuri Ertas, Keyvan Abedu Dorcheh, Ali Akbari, Esmaiel Jabbari

Faculty Publications

Cancer stem cells (CSCs) are a subpopulation of cells that can initiate, self-renew, and sustain tumor growth. CSCs are responsible for tumor metastasis, recurrence, and drug resistance in cancer therapy. CSCs reside within a niche maintained by multiple unique factors in the microenvironment. These factors include hypoxia, excessive levels of angiogenesis, a change of mitochondrial activity from aerobic aspiration to aerobic glycolysis, an upregulated expression of CSC biomarkers and stem cell signaling, and an elevated synthesis of the cytochromes P450 family of enzymes responsible for drug clearance. Antibodies and ligands targeting the unique factors that maintain the niche are utilized …

Psycho-Affective Health, Cognition, And Neurophysiological Functioning Following Sports-Related Concussion In Symptomatic And Asymptomatic Athletes, And Control Athletes, V. Sicard, A. T. Harrison, Robert Davis Moore

Faculty Publications

Little is known about the neuropsychiatric and neurophysiological differences that characterize abnormal recovery following a concussion. The present study aimed to investigate the psycho-affective, cognitive, and neurophysiological profiles of symptomatic, slow-to-recover, concussed athletes, asymptomatic concussed athletes, and control athletes. Seventy-eight athletes (26 symptomatic, 26 asymptomatic, 26 control) completed the Beck Depression Inventory-II, Profile of Mood States, and 2-Back task. Additionally, event-related brain potentials were recorded during an experimental three-stimulus visual Oddball paradigm. Compared to asymptomatic and control groups, the symptomatic group reported greater depression symptoms and negatively altered mood states. Symptomatic athletes also exhibited poorer cognitive performance on the 2-Back …

Using Cellular Automata Approach To Optimize The Hydropower Reservoir Operation Of Folsom Dam, Erfan Goharian, Mohammed Azizipour, Samuel Sandoval-Solis, Graham Fogg

Faculty Publications

While hydropower in California is one the main sources of renewable energy, population growth has continuously increased demand for energy. In addition, recent droughts reduced the amount of available water behind the hydropower dams to provide the water head needed to run the turbines in hydropower plants. A more sustainable alternative, instead of developing new infrastructure, is to enhance the daily operation of reservoirs to support hydropower generation. This study suggests a new optimal operation policy for Folsom Reservoir in California and hydropower plants, which maximizes hydropower generation and reduces flood risk. This study demonstrates the application of the cellular …

Analyzing Satellite Ocean Color Match-Up Protocols Using The Satellite Validation Navy Tool (Savant) At Moby And Two Aeronet-Oc Sites, Adam Lawson, Jennifer Bowers, Sherwin Ladner, Richard Crout, Christopher Wood, Robert Arnone, Paul Martinolich, David Lewis

Faculty Publications

The satellite validation navy tool (SAVANT) was developed by the Naval Research Laboratory to help facilitate the assessment of the stability and accuracy of ocean color satellites, using numerous ground truth (in situ) platforms around the globe and support methods for match-up protocols. The effects of varying spatial constraints with permissive and strict protocols on match-up uncertainty are evaluated, in an attempt to establish an optimal satellite ocean color calibration and validation (cal/val) match-up protocol. This allows users to evaluate the accuracy of ocean color sensors compared to specific ground truth sites that provide continuous data. Various match-up constraints may …

A Meta-Level Approach For Multilingual Taint Analysis, Damian Lyons, Dino Becaj

Faculty Publications

It is increasingly common for software developers to leverage the features and ease-of-use of different languages in building software systems. Nonetheless, interaction between different languages has proven to be a source of software engineering concerns. Existing static analysis tools handle the software engineering concerns of monolingual software but there is little general work for multilingual systems despite the increasing visibility of these systems. While recent work in this area has greatly extended the scope of multilingual static analysis systems, the focus has still been on a primary, host language interacting with subsidiary, guest language functions. In this paper we propose …

Wall Detection Via Imu Data Classification In Autonomous Quadcopters, Jason Hughes, Damian Lyons

Faculty Publications

Abstract—An autonomous drone flying near obstacles needs to be able to detect and avoid the obstacles or it will collide with them. In prior work, drones can detect and avoid walls using data from camera, ultrasonic or laser sensors mounted either on the drone or in the environment. It is not always possible to instrument the environment, and sensors added to the drone consume payload and power - both of which are constrained for drones. This paper studies how data mining classification techniques can be used to predict where an obstacle is in relation to the drone based only on …