Digital Commons Network^™

Visualization Of Co-Authorshipin Dit Arrow, Dan Xu

Dissertations

With the popularization of information technology and the unprecedented development of online reading, the management and service of the library are facing severe challenges; the traditional library operation mode has been challenging to optimize the service. At the same time, there is also a fatal impact on library collection and systematic management, however, with the development of visualization techniques in management and service, the library can alleviate the effect of the current network information basically, which achieves the intellectual development of library field. This study empirically provides the evidence to indicate that the force directed layout has the statistically significant …

User-Based Photometer Analysis Of Effluent From Advanced Nitrogen-Removal Onsite Wastewater Treatment Systems, Bianca N. Ross, George W. Loomis, Kevin P. Hoyt, José A. Amador

Natural Resources Science Faculty Publications

Advanced nitrogen-removal onsite wastewater treatment systems (OWTS) are used to reduce total nitrogen (N) levels in domestic wastewater. Maintaining system performance requires regular monitoring and in situ rapid tests can provide an inexpensive option for assessing treatment performance. We used a portable photometer to measure ammonium and nitrate concentrations in final effluent from 46 advanced N-removal OWTS, sampling each site at least three times in 2017. To assess photometer accuracy, we compared measurements made using the photometer with those determined by standard laboratory methods using linear regression analysis and a two-tailed t test to compare regression parameters to those for …

Comparing Fishers' And Scientists' Estimates Of Size-At-Maturity And Maximum Body Size As Indicators Of Overfishing, Elizabeth Layli Mclean, Graham E. Forrester

Natural Resources Science Faculty Publications

We tested whether fishers’ local ecological knowledge (LEK) of two fish life-history parameters, size at maturity (SAM) at maximum body size (MS), was comparable to scientific estimates (SEK) of the same parameters, and whether LEK influenced fishers’ perceptions of sustainability. Local ecological knowledge was documented for 82 fishers from a small-scale fishery in Samaná Bay, Dominican Republic, whereas SEK was compiled from the scientific literature. Size at maturity estimates derived from LEK and SEK overlapped for most of the 15 commonly harvested species (10 of 15). In contrast, fishers’ maximum size estimates were usually lower than (eight species), or overlapped …

The Effects Of Socs1, Socs3 And Hsv-1 Infection On Morphology, Cell Viability And Rab7 Expression In Polarized M1 And M2 Raw 264.7 Murine Macrophages, Jessica Renee Hey

Browse all Theses and Dissertations

HSV-1 causes a life-long infection in its host and has evolved multiple strategies to facilitate infection and evade the immune response. This virus has been found to enter cells by both endocytosis and fusion. The way the virus exploits endocytosis is not fully understood. Recent studies have uncovered roles of Rab GTPases, key regulators in intracellular membrane trafficking pathways, in distinct steps of the HSV-1 life cycle (Raza et al., 2018). This study will focus on analyzing the levels of the late endosomal regulator Rab7 expression in macrophages infected with HSV-1. Revealing the effect of virus on the levels of …

13th Susquehanna River Symposium Program With Abstracts, Bucknell Center For Sustainability And The Environment

Susquehanna River Symposium -- Conference materials

No abstract provided.

Bulked-Segregant Analysis Coupled To Whole Genome Sequencing (Bsa-Seq) For Rapid Gene Cloning In Maize, Harry Klein, Yuguo Xiao, Phillip A. Conklin, Rajanikanth Govindarajulu, Jacob A. Kelly, Michael J. Scanlon, Clinton J. Whipple, Madelaine Bartlett

Faculty & Staff Scholarship

Forward genetics remains a powerful method for revealing the genes underpinning organismal form and function, and for revealing how these genes are tied together in gene networks. In maize, forward genetics has been tremendously successful, but the size and complexity of the maize genome made identifying mutant genes an often arduous process with traditional methods. The next generation sequencing revolution has allowed for the gene cloning process to be significantly accelerated in many organisms, even when genomes are large and complex. Here, we describe a bulked-segregant analysis sequencing (BSA-Seq) protocol for cloning mutant genes in maize. Our simple strategy can …

Assessment Of A Mouse Xenograft Model Of Primary Colorectal Cancer With Special Reference To Perfluorooctane Sulfonate, Jeffrey H. Wimsatt, Caitlin Montgomery, Laurel S. Thomas, Charity Savard, Rachel Tallman, Kim Innes, Nezar Jrebi

Faculty & Staff Scholarship

Colorectal cancer ranks third among the most commonly diagnosed cancers in the United States. Current therapies have a range of side effects, and the development of a reliable animal model to speed the discovery of safe effective preventative therapies would be of great value. A cross-sectional study in a large Appalachian population recently showed an association between low circulating levels of perfluorooctane sulfonate (PFOS) and a reduced prevalence of colorectal cancer. A study using APCmin(C57BL/6J-ApcMin/J) mice prone to familial adenomatous polyposis found PFOS was protective when exposure occurred during tumor development. To test the possible benefit of PFOS on spontaneous …

Genetic Assessment Of Inbred Chicken Lines Indicates Genomic Signatures Of Resistance To Marek's Disease, Lingyang Xu, Yanghua He, George E. Liu, Huanmin Zhang, Hans H. Cheng, Robert L. Taylor Jr, Jiuzhou Song

Faculty & Staff Scholarship

Background: Marek’s disease (MD) is a highly contagious pathogenic and oncogenic disease primarily affecting chickens. However, the mechanisms of genetic resistance for MD are complex and not fully understood. MD-resistant line 63 and MD-susceptible line 72 are two highly inbred progenitor lines of White Leghorn. Recombinant Congenic Strains (RCS) were developed from these two lines, which show varied susceptibility to MD.

Results: We investigated genetic structure and genomic signatures across the genome, including the line 63 and line 72, six RCSs, and two reciprocally crossed flocks between the lines 63 and 72 (F1 63 × 72 and F1 72 × …

Evaluating The Effectiveness Of Soil-Native Bacteria In Precipitating Calcite To Stabilize Expansive Soils, Bhaskar C. S. Chittoori, Malcolm Burbank, Md Touhidul Islam

Civil Engineering Faculty Publications and Presentations

The use of chemical additives to stabilize expansive soils is a common practice. However, the environmental concerns associated with the greenhouse gas generation during the production of these chemicals have launched engineers in search of sustainable stabilization alternatives. Microbial induced calcite precipitation (MICP) is a bio-cementation technique that could be a potential solution to this problem. Typically, MICP is achieved via bio-augmentation; however, bio-stimulation was argued to be a more realistic alternative due to its field implementation potential. Hence, in this research study, two expansive soils with varying plasticity characteristics were examined to understand the potential of MICP in treating …

Bioinformatic Workflows For Generating Complete Plastid Genome Sequences—An Example From Cabomba (Cabombaceae) In The Context Of The Phylogenomic Analysis Of The Water-Lily Clade, Michael Gruenstaeudl, Nico Gerschler, Thomas Borsch

Biological Sciences Faculty Publications

The sequencing and comparison of plastid genomes are becoming a standard method in plant genomics, and many researchers are using this approach to infer plant phylogenetic relationships. Due to the widespread availability of next-generation sequencing, plastid genome sequences are being generated at breakneck pace. This trend towards massive sequencing of plastid genomes highlights the need for standardized bioinformatic workflows. In particular, documentation and dissemination of the details of genome assembly, annotation, alignment and phylogenetic tree inference are needed, as these processes are highly sensitive to the choice of software and the precise settings used. Here, we present the procedure and …

Community-Based Childhood Obesity Prevention Intervention For Parents Improves Health Behaviors And Food Parenting Practices Among Hispanic, Low-Income Parents, Laura Otterbach, Noereem Z. Mena, Geoffrey Greene, Colleen A. Redding, Anne S. De Groot, Alison Tovar

Nutrition Faculty Publications

Background: Given the current prevalence of childhood obesity among Hispanic populations, and the importance of parental feeding behaviors, we aimed to assess the impact of the evidence-based Healthy Children, Healthy Families (HCHF) intervention on responsive food parenting practices (FPPs) in a low-income Hispanic population.

Methods: This community-based pilot study used a non-experimental pre/post within-subjects design. Parents (n = 94) of children aged 3–11 years old were recruited to participate in an 8-week, weekly group-based intervention. The intervention was delivered to nine groups of parents by trained paraprofessional educators over a two-year period. Children participated in a separate curriculum that …

Development And Testing Of A Novel Survey To Assess Stakeholder-Driven Community Diffusion Of Childhood Obesity Prevention Efforts, Ariella R. Korn, Erin Hennessy, Ross A. Hammond, Steven Allender, Matthew W. Gillman, Matt Kasman, Jaimie Mcglashan, Lynne Millar, Brynle Owen, Mark C. Pachucki, Boyd Swinburn, Alison Tovar, Christina D. Economos

Nutrition Faculty Publications

Background: Involving groups of community stakeholders (e.g., steering committees) to lead community-wide health interventions appears to support multiple outcomes ranging from policy and systems change to individual biology. While numerous tools are available to measure stakeholder characteristics, many lack detail on reliability and validity, are not context specific, and may not be sensitive enough to capture change over time. This study describes the development and reliability of a novel survey to measure Stakeholder-driven Community Diffusion via assessment of stakeholders’ social networks, knowledge, and engagement about childhood obesity prevention.

Methods: This study was completed in three phases. Phase 1 included conceptualization …

Oceans Of Plastic: A Research Agenda To Propel Policy Development, Elizabeth Mendenhall

Marine Affairs Faculty Publications

Although the phenomenon of marine plastic debris is now widely recognized as a problem for the international community, significant gaps in understanding still inhibit the creation and implementation of effective policy responses. This paper reviews the state of scientific knowledge about the causes and consequences of marine plastic debris, including its sources, pathways, composition, location, and impacts on ecosystems and human activities. Much remains unknown about the large scale impacts of plastic debris on ecosystem functions and human health, among other information gaps. Additional scientific research about the nature, extent, and harms of marine plastic debris could increase the political …

Host Specificity And Risk Assessment Of Archanara Geminipuncta And Archanara Neurica, Two Potential Biocontrol Agents For Invasive Phragmites Australis In North America, Bernd Blossey, Patrick Häfliger, Lisa A. Tewksbury, Andrea Dávalos, Richard A. Casagrande

Plant Sciences and Entomology Faculty Publications

Invasive Phragmites australis is widespread in North America and despite decades of management and large annual expenditures (>5 million US$) using physical and chemical means, local populations and the species range are expanding. Allowing continued expansion does not only threaten native wetland biota but also an endemic North American subspecies Phragmites australis americanus. We used extensive multi-pronged investigations in Europe and North America to evaluate host specificity and impact of two European stem mining noctuid moths, Archanara geminipuncta and A. neurica. Both moth species are specific to the genus Phragmites and both show a very strong, but …

Surfo Technical Report No. 18-01, Surfo

SURFO Technical Reports

The 2018 technical reports written by undergraduate students participating in the SURFO (Summer Undergraduate Research Fellowships in Oceanography) Program while at the University of Rhode Island.

Academic Catalog: 2018-2019, Augustana College, Rock Island Illinois

Academic Catalogs

No abstract provided.

State Of The Department Report, 2017-2018, University Of Arkansas, Fayetteville. Department Of Industrial Engineering.

Industrial Engineering Annual Report

No abstract provided.

Finding Multiple Roots Of Systems Of Nonlinear Equations By A Hybrid Harmony Search-Based Multistart Method, Gisela C. V. Ramadas, Edite M. G. P. Fernandes, Ana Maria A. C. Rocha

Applied Mathematics & Information Sciences

A multistart (MS) clustering technique to compute multiple roots of a system of nonlinear equations through the global optimization of an appropriate merit function is presented. The search procedure that is invoked to converge to a root, starting from a randomly generated point inside the search space, is a new variant of the harmony search (HS) metaheuristic. The HS draws its inspiration from an artistic process, the improvisation process of musicians seeking a wonderful harmony. The new hybrid HS algorithm is based on an improvisation operator that mimics the best harmony and uses the idea of a differential variation, borrowed …

On (M,H1,H2)−Convex Stochastic Processes Using Fractional Integral Operator., Miguel Vivas Cortez, Jorge E. Hernandez H.

Applied Mathematics & Information Sciences

We consider and study a new class of convex stochastic processes, called (m,h1,h2)−convex stochastic processes. Some Ostrowski inequality for this kind of generalized convex stochastic processes are derived, using the fractional integral operator.

An Inverse Problem For Delay Differential Equations: Parameter Estimation, Nonlinearity, Sensitivity, Fathalla A. Rihan, Abdulla A. Azamov, Hebatallah J. Al-Sakaji

Applied Mathematics & Information Sciences

This article presents the theoretical framework to solve inverse problems for Delay Differential Equations (DDEs). Given a parameterized DDE and experimental data, we estimate the parameters appearing in the model, using least squares approach. Some issues associated with the inverse problem, such as nonlinearity and discontinuities which make the problem more ill-posed, are studied. Sensitivity and robustness of the models to small perturbations in the parameters, using variational approach, are also investigated. The sensitivity functions may provide guidance for the modelers to determine the most informative data for a specific parameter, and select the best fit model. The consistency of …

Existence Results For Impulsive Fractional Neutral Integro-Differential Equations With Nonlocal Conditions, A. Sivasankari, A. Leelamani, Dumitru Baleanu

Applied Mathematics & Information Sciences

We present a new prospective of the existence of a mild solution for impulsive fractional neutral integro-differential equations with nonlocal conditions in Banach spaces. In light of ideas for Banach contraction principle and Krasnoselskii-Schaefer’s fixed point theorem, we build up the existence results with resolvent operator and η -norm. At last, a case is given to represent the acquired outcomes .

Modeling And Analyzing Neural Networks Using Reproducing Kernel Hilbert Space Algorithm, Zainah Momani, Mohammad Al Shridah, Omar Abu Arqub, Mohammad Al-Momani, Shaher Momani

Applied Mathematics & Information Sciences

In this paper, we present a new method for solving some certain differential systems in the artificial neural networks field. The analytic and approximate solutions are given with series form in the spaces W[a,b] and H[a,b]. The method used in this thesis has several advantages; first, it is of global nature in terms of the solutions obtained as well as its ability to solve other mathematical, physical, and engineering problems; second, it is accurate, need less effort to achieve the results, and is developed especially for the nonlinear cases; third, in the proposed method, it is possible to pick any …

Performance Analysis Of Various Machine Learning Techniques To Predict Cardiovascular Disease: An Emprical Study, M. Chandralekha, N. Shenbagavadivu

Applied Mathematics & Information Sciences

In the modern state-of-art of technology, Machine Learning emerges out as a boom to extract information from mammoth dataset and transform into acquainted information. In particular, Clustering (Unsupervised learning) and Classification (Supervised learning) are the two predominant Machine Learning approaches emphasized here. However, data and constraints are known primarily in Classification, they are unknown in Clustering. In recent times, Clustering and Classification started playing significant role in the area of innumerable applications like Cognitive Services, Image Recognition and Manipulation, Business and Legal, Text and Language, Medical, Weather Forecast, Genetics, Bio-informatics and so on. A few recently established machine learning methodologies …

Identification And Replication Of Rna-Seq Gene Network Modules Associated With Depression Severity, Trang T. Le, Jonathan Savitz, Hideo Suzuki, Masaya Misaki, T. Kent Teague, Bill C. White, Julie H. Marino, Graham Wiley, Patrick M. Gaffney, Wayne C. Drevets, Brett A. Mckinney, Jerzy Bodurka

Department of Educational Psychology: Faculty Publications

Genomic variation underlying major depressive disorder (MDD) likely involves the interaction and regulation of multiple genes in a network. Data-driven co-expression network module inference has the potential to account for variation within regulatory networks, reduce the dimensionality of RNA-Seq data, and detect significant geneexpression modules associated with depression severity. We performed an RNA-Seq gene co-expression network analysis of mRNA data obtained from the peripheral blood mononuclear cells of unmedicated MDD (n = 78) and healthy control (n = 79) subjects. Across the combined MDD and HC groups, we assigned genes into modules using hierarchical clustering with a dynamic …

Pacs Viewbook 2018-2019, Program In Audiology And Communication Sciences

PACS News

No abstract provided.

Annual Report 2018, Casco Bay Estuary Partnership

Publications

CBEP has been collaborating for over 25 years with a multitude of partners working hard to protect Casco Bay. 2018 brought us new and exciting collaborations.

The Casco Bay Nutrient Council, convened by CBEP, met for almost two years and produced a report that laid a path forward for all partners to tackle nutrient pollution.

CBEP worked closely with the EPA to establish the Casco Bay Monitoring Network, made up of over 20 member organizations, aimed at coordinating and upgrading monitoring in the Bay. The Network is currently updating the Casco Bay Monitoring Plan.

CBEP is an active participant in …

Open Access And You: Transforming The Academic Experience, Lauryn Lehman

A repository of copyright educational resources for higher education

Contains the powerpoint slides for a 30 minute job-talk, the topic of which was "reasons why faculty should consider adopting open access resources."

Patent: Neuroprotection And Myelin Repair Using Nestorone®, Régine Sitruk-Ware, Michael Schumacher, Maria Helmut, Roberta Brinton, Martine El-Etr, Abdelmouman Ghoumari, Rachida Guennoun

Formulation/Product Development

Methods for treating neurodegeneration and/or myelination in patients are disclosed comprising treating the patient with a progestin compound which exerts binding to progesterone receptors and elicits progesterone-receptor-induced biological responses without interacting with the androgen receptor and without inducing androgen or glucocorticoid biological responses at a dosage sufficient to prevent or reduce neurodegeneration. The progestin compound preferably comprises 16-methylene-17.alpha.-acetoxy-19-norpregn-4-ene-3,20-dione, and the methods include combining the progestin compound with an estrogen compound to provide both contraception and treatment for myelin repair and neurodegeneration.

Science Literacy: Using Research-Based Facts To Make Real-World Decisions, Shelby Cammack, Michael J. Boehm, Kathleen Lodl, Mark Balschweid, Mary Garbacz, Tiffany Heng-Moss, Katherine Mundorf, Charles Hibberd, Tala Awada, Emily Frenzen, Dirac L. Twidwell Jr., Riley Nichols, Nicholas Brozovic, Lindsay J. Hastings, Alexandria Lundvall, Brad Barker, Jamie Loizzo, Tiffany Messer, Scott Schrage, Abby Steffen, Ashu Guru, Jenny Keshwani, Jeyam Subbiah, Matt Kreifels, Jenny Dauer, Andrea Wach Tenney, Deepak Keshwani, Joesph Dauer, Sydney Everhart, Julie Obermeyer

Strategic Discussions for Nebraska

Science Literacy: Using Research-Based Facts to Make Real-World Decisions

As the next generation of leaders is entering the educational pipeline, it’s important to have an emphasis on science, technology, engineering and mathematics (STEM) to solve the grand challenge of feeding 9 billion people by 2050.

Nature-Based Supportive Care Opportunities: A Conceptual Framework, Sarah Blaschke, Clare O'Callaghan, Penelope Schofield

Philosophy Papers and Journal Articles

Objective: Given preliminary evidence for positive health outcomes related to contact with nature for cancer populations, research is warranted to ascertain possible strategies for incorporating nature-based care opportunities into oncology contexts as additional strategies for addressing multidimensional aspects of cancer patients’ health and recovery needs. The objective of this study was to consolidate existing research related to nature-based supportive care opportunities and generate a conceptual framework for discerning relevant applications in the supportive care setting.

Methods: Drawing on research investigating nature-based engagement in oncology contexts, a two-step analytic process was used to construct a conceptual framework for guiding nature-based supportive …