Digital Commons Network^™

Erk-Mediated Timeless Expression Suppresses G2/M Arrest In Colon Cancer Cells, Beth K. Neilsen, Danielle E. Frodyma, Jaime L. Mccall, Kurt W. Fisher, Robert E. Lewis

Faculty & Staff Scholarship

The cell cycle is under circadian regulation. Oncogenes can dysregulate circadian-regulated genes to disrupt the cell cycle, promoting tumor cell proliferation. As a regulator of G2/M arrest in response to DNA damage, the circadian gene Timeless Circadian Clock (TIMELESS) coordinates this connection and is a potential locus for oncogenic manipulation. TIMELESS expression was evaluated using RNASeq data from TCGA and by RT-qPCR and western blot analysis in a panel of colon cancer cell lines. TIMELESS expression following ERK inhibition was examined via western blot. Cell metabolic capacity, propidium iodide, and CFSE staining were used to evaluate the effect of TIMELESS …

Clinical And Microbiologic Investigation Of An Expedited Peri-Implantitis Dog Model: An Animal Study, Wook Jin Seong, Georgios Kotsakis, Jong-Ki Huh, Soo Cheol Jeong, Ki Young Nam, Jong Ryul Kim, Young Cheul Heo, Hyeon-Cheol Kim, Lei Zhang, Michael D. Evans, Heather Conrad, Robert J. Schumacher

Faculty & Staff Scholarship

Background: Animal studies are pivotal in allowing experimentation to identify efficacious treatment protocols for resolution of peri-implantitis. The purpose of this investigation was to characterize an expedited dog peri-implantitis model clinically, radiographically, and microbiologically. Methods: Eight hound dogs underwent extractions (week 0) and implant (3.3 × 8.5 mm) placement with simultaneous surgical defect creation and ligature placement for induction of peri-implantitis (week 10). Ligatures were replaced at 6 weeks (week 16) and removed after 9 weeks (week 19) when supporting bone loss involved approximately 50% of the peri-implant bone. Microbial samples from the defects and healthy control implant sites collected …

Multi-Trait Genome-Wide Association Study Identifies New Loci Associated With Optic Disc Parameters, Pieter W. M. Bonnemaijer, Elisabeth M. Van Leeuwen, Adriana I. Iglesias, Puya Gharahkhani, Veronique Vitart, Anthony P. Khawaja, Mark Simcoe, René Höhn, Angela J. Cree, Rob P. Igo, International Glaucoma Genetics Consortium, Neighborhood Consortium, Uk Biobank Eye And Vision Consortium, Aslihan Gerhold-Ay, Stefan Nickels, James F. Wilson, Caroline Hayward, Thibaud S. Boutin, Ozren Polašek, Tin Aung, Chiea Chuen Khor, Najaf Amin, Andrew J. Lotery, Janey L. Wiggs, Ching-Yu Cheng, Pirro G. Hysi, Christopher J. Hammond, Alberta A. H. J. Thiadens, Stuart Macgregor, Caroline C. W. Klaver, Cornelia M. Van Duijn

Faculty & Staff Scholarship

A new avenue of mining published genome-wide association studies includes the joint analysis of related traits. The power of this approach depends on the genetic correlation of traits, which reflects the number of pleiotropic loci, i.e. genetic loci influencing multiple traits. Here, we applied new meta-analyses of optic nerve head (ONH) related traits implicated in primary open-angle glaucoma (POAG); intraocular pressure and central corneal thickness using Haplotype reference consortium imputations. We performed a multi-trait analysis of ONH parameters cup area, disc area and vertical cup-disc ratio. We uncover new variants; rs11158547 in PPP1R36-PLEKHG3 and rs1028727 near SERPINE3 at genome-wide significance …

Human Macular Müller Cells Rely More On Serine Biosynthesis To Combat Oxidative Stress Than Those From The Periphery, Ting Zhang, Ling Zhu, Michele C. Madigan, Wei Liu, Weiyong Shen, Svetlana Cherepanoff, Fanfan Zhou, Shaoxue Zeng, Jianhai Du, Mark C. Gillies

Faculty & Staff Scholarship

Abstract The human macula is more susceptible than the peripheral retina to developing blinding conditions such as age-related macular degeneration, diabetic retinopathy. A key difference between them may be the nature of their Mu¨ ller cells. We found primary cultured Mu¨ ller cells from macula and peripheral retina display significant morphological and transcriptomic differences. Macular Mu¨ ller cells expressed more phosphoglycerate dehydrogenase (PHGDH, a rate-limiting enzyme in serine synthesis) than peripheral Mu¨ ller cells. The serine synthesis, glycolytic and mitochondrial function were more activated in macular than peripheral Mu¨ ller cells. Serine biosynthesis is critical in defending against oxidative stress. …

Trade-Offs Relating To Grassland And Forest Mine Reclamation Approaches In The Central Appalachian Region And Implications For The Songbird Community, Eric L. Margenau, Petra B. Wood, Cathy A. Weakland, Donald J. Brown

Faculty & Staff Scholarship

Surface mining in the Appalachian region (USA) converts large areas of mature forest to early successional habitat. This shift in landscape structure has the potential to reduce habitat availability and suitability for forest-dwelling songbirds by reducing and fragmenting mature forest, but also to increase habitat availability for grassland- and shrubland-associated songbirds. We examined the influence of mountaintop mining/valley fill (MTMVF) reclamation habitats (grassland, shrubland, and remnant forest) on songbird community composition and abundance at three former MTMVF mines in southwestern West Virginia, relative to intact forest. We quantified the songbird community in 1999 and 2000 using point counts arranged throughout …

Coupling Simulation Model Between Mine Ventilation Network And Gob Flow Field, F.I. Wu, Y. Luo, X-T Chang

Faculty & Staff Scholarship

Many numerical simulation studies of coal spontaneous combustion have focused on the leakage flow field in the mine gob. However, most of these studies isolate the gob from the mine ventilation system, failing to consider the effects of air leakage on gob boundary conditions. A novel model coupling the mine ventilation network (MVN) and gob flow field (GFF) has been developed to simulate the overall mine ventilation system. The concept of network boundary node was proposed and the corresponding air flow rate balance equations were developed based on the node pressure method for MVN calculation and the finite element method …

From Statistical Correlations To Stochasticity And Size Effects In Sub-Micron Crystal Plasticity, Hengxu Song, Stefanos Papanikolaou

Faculty & Staff Scholarship

Metals in small volumes display a strong dependence on initial conditions, which translates into size effects and stochastic mechanical responses. In the context of crystal plasticity, this amounts to the role of pre-existing dislocation configurations that may emerge due to prior processing. Here, we study a minimal but realistic model of uniaxial compression of sub-micron finite volumes. We show how the statistical correlations of pre-existing dislocation configurations may influence the mechanical response in multi-slip crystal plasticity, in connection to the finite volume size and the initial dislocation density. In addition, spatial dislocation correlations display evidence that plasticity is strongly influenced …

Electrical Detection Of Current Generated Spin In Topological Insulator Surface States: Role Of Interface Resistance, C. H. Li, O. M. J. Van ‘T Erve, C. Yan, L. Li., B. T. Jonker

Faculty & Staff Scholarship

Current generated spin polarization in topological insulator (TI) surface states due to spin-momentum locking has been detected recently using ferromagnet/tunnel barrier contacts, where the projection of the TI spin onto the magnetization of the ferromagnet is measured as a voltage. However, opposing signs of the spin voltage have been reported, which had been tentatively attributed to the coexistence of trivial two-dimensional electron gas states on the TI surface which may exhibit opposite currentinduced polarization than that of the TI Dirac surface states. Models based on electrochemical potential have been presented to determine the sign of the spin voltage expected for …

Synergy Of Physics-Based Reasoning And Machine Learning In Biomedical Applications: Towards Unlimited Deep Learning With Limited Data, Valeriy Gavrishchaka, Olga Senyukova, Mark Koepke

Faculty & Staff Scholarship

Technological advancements enable collecting vast data, i.e., Big Data, in science and industry including biomedical field. Increased computational power allows expedient analysis of collected data using statistical and machine-learning approaches. Historical data incompleteness problem and curse of dimensionality diminish practical value of pure data-driven approaches, especially in biomedicine. Advancements in deep learning (DL) frameworks based on deep neural networks (DNN) improved accuracy in image recognition, natural language processing, and other applications yet severe data limitations and/or absence of transfer-learning-relevant problems drastically reduce advantages of DNN-based DL. Our earlier works demonstrate that hierarchical data representation can be alternatively implemented without NN, …

Air Quality And Asthma Hospitalization: Evidence Of Pm2.5 Concentrations In Pennsylvania Counties, Elham Erfanian, Alan R. Collins

Regional Research Institute Working Papers

According to the World Health Organization, 235 million people around the world currently suffer from asthma, which includes approximately 25 million in the United States. There is substantial epidemiological evidence indicating linkages between outdoor air pollution and asthma symptoms, more specifically between concentrations of particulate matter and asthma. Using county level data for 2001-2014, a spatial panel framework is imposed based upon prevailing wind patterns to investigate the direct and indirect impacts of PM2.5 concentration levels on asthma hospitalization in Pennsylvania. This model controls for population density, precipitation, smoking rate, and population demographic variables. Results show that PM2.5 concentrations as …

A Regulated Charge Pump With Extremely Low Output Ripple, Mir Mohammad Navidi, David W. Graham

Faculty & Staff Scholarship

Abstract: In this paper, we present a regulated charge pump with extremely low output ripple (mV) that can be used for accurate programming of nonvolatile memory. We present a technique to include a low-drop-out regulator inside the charge-pump regulation loop to reduce the ripple. This charge pump was fabricated in a 0.35 µm standard CMOS process. The die area of this charge pump is 0.163 mm2 . While operating from a 2.5 V supply, this charge pump generates regulated voltages up to 10 V.

Temporal Variations In Methane Emissions From An Unconventional Well Site, Derek Johnson, Robert Heltzel, Dakota Oliver

Faculty & Staff Scholarship

Studies have aimed to quantify methane emissions associated with the growing natural gas infrastructure. Quantification is completed using direct or indirect methods—both of which typically represent only a snapshot in time. Most studies focused on collecting emissions data from multiple sites to increase sample size, thus combining the effects of geospatial and temporal variability (spatio-temporal variability). However, we examined the temporal variability in methane emissions from a single unconventional well site over the course of nearly 2 years (21 months) by conducting six direct quantification audits. We used a full flow sampling system that quantified methane mass emissions with an …

Using Machine Learning To Predict Physics Course Outcomes, Cabot Zabriskie, Jie Yang, Seth Devore, John Stewart

Faculty & Staff Scholarship

The use of machine learning and data mining techniques across many disciplines has exploded in recent years with the field of educational data mining growing significantly in the past 15 years. In this study, random forest and logistic regression models were used to construct early warning models of student success in introductory calculus-based mechanics (Physics 1) and electricity and magnetism (Physics 2) courses at a large eastern land-grant university. By combining in-class variables such as homework grades with institutional variables such as cumulative GPA, we can predict if a student will receive less than a “B” in the course with …

Data Driven Intelligent Grid Stability Monitoring And Adaptive Emergency Response, Hasan Ul Banna

Graduate Theses, Dissertations, and Problem Reports (ETD)

Power grids are large cyber-physical systems with physical operation controlled and integrated through communications. The technological breakthroughs made by the availability of low-cost, high speed communications, larger storage spaces, greater internet bandwidths have led to increased attentions towards advantages of these systems. The use of Phasor Measurement Unit (PMU) in complex interconnected power system for monitoring and control has increased significantly. This has resulted in huge amounts of data and growing databases, thus gearing towards an era where utilities might encounter an enormous amount of data daily from their measurement units including sensitive information useful for daily operations. With increasing …

Depth Dependent Atomic Valence Determination In La0.7sr0.3mno3 Thin Films Using Synchrotron Techniques, Robbyn B. Trappen

Graduate Theses, Dissertations, and Problem Reports (ETD)

The valence of atoms often has a strong effect on the properties of materials, such as magnetism, conductivity, and superconductivity. The atomic valence is often perturbed at the surface and/or interface and this deviation may play a strong role in many physical phenomena such as interfacial coupling and dead layers, both magnetic and electric. In this dissertation, I present a non-destructive approach of combining two X-ray absorption detection modes, electron yield and fluorescence, with very different probing depths in conjunction with theory to map out the layer-by-layer valence of a thin film.

The weighted average Mn atomic valence as measured …

Making Armenian Politically Exposed Persons’ Money Public: A Data-Driven Journalism Project That Aims To Create A Database Of Armenian Mps’ Assets, Ani Hovhannisyan

Graduate Theses, Dissertations, and Problem Reports (ETD)

This data-driven journalism project tackles an age-old problem that seems common in virtually every government around the world: governmental officials hiding assets. By applying the theory of social responsibility, this paper uses data-journalism methods to trace the full financial assets of Armenian members of parliament and eventually making those assets and income declarations available via an interactive website to the Armenian public as well as other journalists throughout the country and region.

Stock Returns And Investor Sentiment: Textual Analysis And Social Media, Zachary Mcgurk, Adam Nowak, Joshua C. Hall

Economics Faculty Working Papers Series

The behavioral finance literature has found that investor sentiment has predictive ability for equity returns. This differs from standard finance theory, which provides no role for investor sentiment. We examine the relationship between investor sentiment and stock returns by employing textual analysis on social media posts. We find that our investor sentiment measure has a positive and significant effect on abnormal stock returns. These findings are consistent across a number of different models and specifications, providing further evidence against non-behavioral theories.

The Nac Family Transcription Factor Gmnac42–1 Regulates Biosynthesis Of The Anticancer And Neuroprotective Glyceollins In Soybean, Md Asraful Jahan, Brianna Harris, Matthew Lowery, Katie Coburn, Aniello M. Infante, Ryan J. Percifield, Amanda G. Ammer, Nik Kovinich

Faculty & Staff Scholarship

Background

Glyceollins are isoflavonoid-derived pathogen-inducible defense metabolites (phytoalexins) from soybean (Glycine max L. Merr) that have important roles in providing defense against pathogens. They also have impressive anticancer and neuroprotective activities in mammals. Despite their potential usefulness as therapeutics, glyceollins are not economical to synthesize and are biosynthesized only transiently and in low amounts in response to specific stresses. Engineering the regulation of glyceollin biosynthesis may be a promising approach to enhance their bioproduction, yet the transcription factors (TFs) that regulate their biosynthesis have remained elusive. To address this, we first aimed to identify novel abiotic stresses that enhance …

Exploring The Structure Of Misconceptions In The Force Concept Inventory With Modified Module Analysis, James Wells, Rachel Henderson, John Stewart, Gay Stewart, Jie Yang, Adrienne Traxler

Faculty & Staff Scholarship

Module analysis for multiple-choice responses (MAMCR) was applied to a large sample of Force Concept Inventory (FCI) pretest and post-test responses (Npre ¼ 4509 and Npost ¼ 4716) to replicate the results of the original MAMCR study and to understand the origins of the gender differences reported in a previous study of this dataset. When the results of MAMCR could not be replicated, a modification of the method was introduced, modified module analysis (MMA). MMA was productive in understanding the structure of the incorrect answers in the FCI, identifying 9 groups of incorrect answers on the pretest and 11 groups …

Unique Constant Phase Element Behavior Of The Electrolyte–Graphene Interface, Jianbo Sun, Yuxin Liu

Faculty & Staff Scholarship

We report a unique constant phase element (CPE) behavior ( 1Z=Q0(jω)α" role="presentation" style="box-sizing: border-box; max-height: none; display: inline; line-height: normal; font-size: 14.3px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;">1Z=Q0(jω)α ) of the electrolyte–graphene interface with both Q0" role="presentation" style="box-sizing: border-box; max-height: none; display: inline; line-height: normal; font-size: 14.3px; word-spacing: normal; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;">Q0 and α" role="presentation" style="box-sizing: border-box; max-height: none; display: inline; …

Benefits Of Developing An App To Map The Potholes In West Virginia, Trevor R. Smith

Honors Projects

No abstract provided.

The Vwfa Is The Home Of Orthographic Learning When Houses Are Used As Letters, Lea Martin, Corrine Durisko, Michelle W. Moore, Marc N. Coutanche, Deborah Chen, Julie A. Fiez

Faculty & Staff Scholarship

Learning to read specializes a portion of the left mid-fusiform cortex for printed word recognition, the putative visual word form area (VWFA). This study examined whether a VWFA specialized for English is sufficiently malleable to support learning a perceptually atypical second writing system. The study utilized an artificial orthography, HouseFont, in which house images represent English phonemes. House images elicit category-biased activation in a spatially distinct brain region, the so-called parahippocampal place area (PPA). Using house images as letters made it possible to test whether the capacity for learning a second writing system involves neural territory that supports reading in …

Topology, Wvu Mathematics Department

M.S. Advanced and Ph.D. Entrance Exams

No abstract provided.

Federal Regulations And U.S. Energy Sector Output, Joshua Hall, Shishir Shakya

Economics Faculty Working Papers Series

A large body of literature finds that the energy sector is important to economic growth and development. The production of energy has negative environmental impacts, however, which has resulted in the sector being highly regulated. While several studies examine the effect of particular regulations on the energy sector, in this study we use the recently developed measure of regulation called RegData to estimate the impact of federal regulations on the energy sector. We employ a panel ARDL model to find an inverted U-shaped relationship between federal regulations and U.S. energy sector output. Federal regulations appear to increase energy sector outputs …

The Efficient Corruption Hypothesis And The Dynamics Between Economic Freedom, Corruption, And National Income, Joshua Hall, John Levendis, Alexandre R. Scarcioffolo

Economics Faculty Working Papers Series

Income, economic freedom, and corruption interact in complex ways as all three variables are arguably endogenous. We explicitly model this endogeneity using a panel VAR framework. The pVAR models we estimate are able to explicitly model this endogeneity better than the single-equation panel data models previously used in the literature. Using data on corruption and income from the World Bank and economic freedom from the Fraser Institute, we provide evidence that corruption and the absence of economic freedom have a negative effect on national income.

Geographic Determinants Of Infant Health: The Impact Of Sports Facility Construction Projects, Brad Humphreys, Jane Ruseski

Economics Faculty Working Papers Series

A large body of research examines determinants of infant health outcomes but little examines geographic variation generated by exogenous economic shocks. Linking birth data from the CDC Natality files to counties building new facilities from 1995-2002, we find that sports facility construction projects generate local negative externalities. Infants born during facility construction periods have lower birth weights than infants born in comparable counties where no new facility opened. Maternal prenatal health visits also fall in the post-facility-opening period. Mechanisms for this impact include local airborne particulate matter and reduced provision of government services affecting prenatal health.

International Law, Settlements And The Two-State Solution, James J. Friedberg

Faculty & Staff Scholarship

No abstract provided.

Properties Of The Binary Neutron Star Merger Gw170817, B P. Abbott

Faculty & Staff Scholarship

On August 17, 2017, the Advanced LIGO and Advanced Virgo gravitational-wave detectors observed a low-mass compact binary inspiral. The initial sky localization of the source of the gravitational-wave signal, GW170817, allowed electromagnetic observatories to identify NGC 4993 as the host galaxy. In this work, we improve initial estimates of the binary’s properties, including component masses, spins, and tidal parameters, using the known source location, improved modeling, and recalibrated Virgo data. We extend the range of gravitational-wave frequencies considered down to 23 Hz, compared to 30 Hz in the initial analysis. We also compare results inferred using several signal models, which …

Contextual Interference In Speech Motor Learning Secondary To Similar Phonemes, Katelyn M. Bond

Capstones and Honors Theses

Purpose: The contextual interference (CI) effect is a motor learning phenomenon where learners experience difficulty during training resulting in poor performance; however, improved performance is observed in transfer conditions. Different variables elicit a CI effect, and the purpose of this study is to investigate whether phoneme (or sound) similarity may result in a CI effect during speech motor learning.

Method: The study included twenty-nine participants whose hearing and speech abilities were within the normal range. Participants were randomly assigned to one of two training sessions involving nonwords with either similar or dissimilar phonemes. Each training session included nonword repetition training …

An Application Of The Two-Stage Model Of Motor Learning To Speech Motor Control, Jacob W. Cahn

Capstones and Honors Theses

Purpose: This study used a two-stage model of motor learning (Latash, 2012) to evaluate bad and good variance during a speech learning task. Stage 1 learning involves minimizing bad variance, or overall error, whereas Stage 2 learning involves changes in good variance while ceiling accuracy is maintained. Using two different variables to evaluate speech complexity (manner of articulation and syllable length), two hypotheses were evaluated: 1) A two-stage model exists during speech motor learning and 2) complexity of stimuli will alter the achievement and maintenance of each stage during learning.

Methods: Twelve native English speakers with normal speech and hearing …