Digital Commons Network^™

Characterisation Of Nano-Assemblies Inside Mesopores Using Neutron Scattering*, Yingzhen Ma, William T. Heller, Lilin He, William A. Shelton, Gernot Rother, Bhuvnesh Bharti

Faculty Publications

Adsorption of molecular and nanoscale matter in mesoporous materials is important in filtration and chromatography as well as membrane processes. However, the morphology and distribution of self-assembled structures of adsorbate formed within nanoconfined environments is largely unknown. Small Angle Neutron Scattering (SANS) with porous matrix matching the neutron scattering length density of the solvent has the potential to provide detailed information on the self-assemblies formed in pore spaces. However, analysis of such SANS profiles remains a challenge. In this study, we extend the SANS analysis method previously developed by Findenegg and co-workers to include interparticle correlations, providing a qualitative characterisation …

Event-Triggered Control For Systems With State Delays Using A Positive Systems Approach, Frederic Mazenc, Michael Malisoff, Corina Barbalata, Zhong Ping Jiang

Faculty Publications

We provide a new positive system approach to event-triggered feedback control of linear systems with state delays. We use an interval observer method and linear Lyapunov functions to prove global exponential stability of the closed loop systems. Our two examples illustrate the usefulness of our method for counteracting the effects of potentially destabilizing state delays.

Μralp And Beyond: Micro-Technologies And Systems For Robot-Assisted Endoscopic Laser Microsurgery, Leonardo S. Mattos, Alperen Acemoglu, André Geraldes, Andrea Laborai, Andreas Schoob, Brahim Tamadazte, Brian Davies, Bruno Wacogne, Christian Pieralli, Corina Barbalata, Darwin G. Caldwell, Dennis Kundrat, Diego Pardo, Edward Grant, Francesco Mora, Giacinto Barresi, Giorgio Peretti, Jesùs Ortiz, Kanty Rabenorosoa, Laurent Tavernier, Lionel Pazart, Loris Fichera, Luca Guastini, Lüder A. Kahrs, Micky Rakotondrabe, Nicolas Andreff, Nikhil Deshpande, Olivier Gaiffe, Rupert Renevier, Sara Moccia, Sergio Lescano, Tobias Ortmaier, Veronica Penza

Faculty Publications

Laser microsurgery is the current gold standard surgical technique for the treatment of selected diseases in delicate organs such as the larynx. However, the operations require large surgical expertise and dexterity, and face significant limitations imposed by available technology, such as the requirement for direct line of sight to the surgical field, restricted access, and direct manual control of the surgical instruments. To change this status quo, the European project μRALP pioneered research towards a complete redesign of current laser microsurgery systems, focusing on the development of robotic micro-technologies to enable endoscopic operations. This has fostered awareness and interest in …

Tensor Multivariate Trace Inequalities And Their Applications, Shih Yu Chang, Hsiao Chun Wu

Faculty Publications

In linear algebra, the trace of a square matrix is defined as the sum of elements on the main diagonal. The trace of a matrix is the sum of its eigenvalues (counted with multiplicities), and it is invariant under the change of basis. This charac-terization can be used to define the trace of a tensor in general. Trace inequalities are mathematical relations between different multivariate trace functionals involving linear operators. These relations are straightforward equalities if the involved linear operators commute, however, they can be difficult to prove when the non-commuting linear operators are involved. Given two Hermitian tensors H1 …

Intelligent Spectrum Management And Trajectory Design For Uav-Assisted Cognitive Ambient Backscatter Networks, Jiazhou Liu, Sa Xiao, Huayan Guo, Xiangwei Zhou, Shixin He

Faculty Publications

In this paper, we consider a novel Internet of Things (IoT) system in smart city called unmanned aerial vehicle- (UAV-) assisted cognitive backscatter network, where a UAV is employed as both a relay and a radio frequency source to help the data transmission between ground IoT backscatter devices (BDs) and a remote data center (DC). However, since the IoT applications are usually not assigned dedicated spectrum resource in smart cities, these data transmissions from BDs to the DC should share the licensed spectrum of cellular users (CUs). Therefore, we aim to maximize the minimum uplink throughput among all BDs while …

Viscosity Robust Weak Galerkin Finite Element Methods For Stokes Problems, B Wang, L Mu

Faculty Publications

In this paper, we develop a viscosity robust weak Galerkin finite element scheme for Stokes equations. The major idea for achieving pressure-independent energy-error estimate is to use a divergence preserving velocity reconstruction operator in the discretization of the right hand side body force. The optimal convergence results for velocity and pressure have been established in this paper. Finally, numerical examples are presented for validating the theoretical conclusions.

Dicer Represses The Interferon Response And The Double-Stranded Rna-Activated Protein Kinase Pathway In Mouse Embryonic Stem Cells, Chandan Gurung, Mona Fendereski, Krishna Sapkota, Jason Guo, Faqing Huang, Yan Lin Guo

Faculty Publications

Recent studies have demonstrated that embryonic stem cells (ESCs) are deficient in expressing type I interferons (IFN), the cytokines that play key roles in antiviral responses. However, the underlying molecular mechanisms and biological implications of this finding are poorly understood. In this study, we developed a synthetic RNA-based assay that can simultaneously assess multiple forms of antiviral responses. Dicer is an enzyme essential for RNA interference (RNAi), which is used as a major antiviral mechanism in invertebrates. RNAi activity is detected in wild-type ESCs but is abolished in Dicer knockout ESCs (D-/-ESCs) as expected. Surprisingly, D-/-ESCs have gained the ability …

Direct Determination Of Absolute Stereochemistry Of Α-Methylselenocysteine Using The Mosher Method, Robert J. Wehrle, Douglas R. Powell, Douglas S. Masterson

Faculty Publications

Mosher amides of α-methylselenocysteine were synthesized to determine the absolute stereochemistry of the sterically hindered α-carbon utilizing ¹H, ¹³C, ¹⁹F, and ⁷⁷Se NMR spectroscopies. After analysis of these spectra using the established Mosher method, the stereochemistry of the α-carbon was determined to be (R), which was subsequently confirmed using x-ray crystallography.

A Survey Of Open Source Statistical Software (Osss) And Their Data Processing Functionalities, Gao Niu, Richard S. Segall, Zichen Zhao, Zhijian Wu

Faculty Publications

This paper discusses the definitions of open source software, free software and freeware, and the concept of big data. The authors then introduce R and Python as the two most popular open source statistical software (OSSS). Additional OSSS, such as JASP, PSPP, GRETL, SOFA Statistics, Octave, KNIME, and Scilab, are also introduced in this paper with function descriptions and modeling examples. They further discuss OSSS's capability in artificial intelligence application and modeling and Popular OSSS-based machine learning libraries and systems. The paper intends to provide a reference for readers to make proper selections of open source software when statistical analysis …

Spectral Extremal Results For Hypergraphs, Yuan Hou, An Chang, Joshua Cooper

Faculty Publications

Let F be a graph. A hypergraph is called Berge F if it can be obtained by replacing each edge in F by a hyperedge containing it. Given a family of graphs F, we say that a hypergraph H is Berge F-free if for every F ∈ F, the hypergraph H does not contain a Berge F as a subhypergraph. In this paper we investigate on the connections between spectral radius of the adjacency tensor and structural properties of a linear hypergraph. In particular, we obtain a spectral version of Turán-type problems over linear k-uniform hypergraphs by using spectral methods.

Toward Uncharted Territory Of Cellular Heterogeneity: Advances And Applications Of Single-Cell Rna-Seq, Brandon Lieberman, Meena Kusi, Chia Nung Hung, Chih Wei Chou, Ning He, Yen Yi Ho, Josephine A. Taverna, Tim H.M. Huang, Chun Liang Chen

Faculty Publications

Among single-cell analysis technologies, single-cell RNA-seq (scRNA-seq) has been one of the front runners in technical inventions. Since its induction, scRNA-seq has been well received and undergone many fast-paced technical improvements in cDNA synthesis and amplification, processing and alignment of next generation sequencing reads, differentially expressed gene calling, cell clustering, subpopulation identification, and developmental trajectory prediction. scRNA-seq has been exponentially applied to study global transcriptional profiles in all cell types in humans and animal models, healthy or with diseases, including cancer. Accumulative novel subtypes and rare subpopulations have been discovered as potential underlying mechanisms of stochasticity, differentiation, proliferation, tumorigenesis, and …

Agile Software Development: Creating A Cost Of Delay Framework For Air Force Software Factories, J. Goljan, Jonathan D. Ritschel, Scott Drylie, Edward D. White

Faculty Publications

The Air Force software development environment is experiencing a paradigm shift. The 2019 Defense Innovation Board concluded that speed and cycle time must become the most important software metrics if the US military is to maintain its advantage over adversaries.¹ This article proposes utilizing a cost-o­f-d­elay (CoD) framework to prioritize projects toward optimizing readiness. Cost-­of-d­elay is defined as the economic impact resulting from a delaying product delivery or, said another way, opportunity cost. In principle, CoD assesses the negative impacts resulting from changes to the priority of a project.

Rejecting Honorary Whiteness: Asian Americans And The Attack On Race-Conscious Admissions, Philip Lee

Faculty Publications

Since the 1960s, Asian Americans have been labeled by the dominant society as the “model minority.” This status is commonly juxtaposed against so-called “problem” minorities such as African Americans and Latinx Americans. In theory, the model minority narrative serves as living proof that racial barriers to social and economic development no longer exist in America. If Asians can succeed against all odds, the reasoning goes, so can everyone else. Further, if a member of a minority group fails, it is because of their own lack of diligence and ambition, and not some supposed systemic unfairness. However, the model minority narrative …

An Estimate Of The Pitting Strength Of Steel Materials, Edward E. Osakue, Lucky Anetor, Kendall Harris

Faculty Publications

A single expression for estimating the nominal pitting strength of steel materials, based on surface hardness, is developed from first principles for a reliability of 99% at 107 load cycles. It requires the hardness values to be measured in Vicker’s hardness scale. The expression may be used for any steel material processed by hot rolling, cold drawing, quenching and tempering or case-hardening. The formulation incorporates a nominal design factor at 99% reliability which is estimated from a probabilistic model based on the lognormal probability density function. Pitting strength estimates from the expression are compared with those of American Gear Manufacturers …

Nutritional Approach For Increasing Public Health During Pandemic Of Covid-19: A Comprehensive Review Of Antiviral Nutrients And Nutraceuticals, Vahideh Ebrahimzadeh-Attari, Ghodratollah Panahi, James R. Hébert Scd, Alireza Ostadrahimi, Maryam Saghafi-Asl, Neda Lotfi-Yaghin, Behzad Baradaran

Faculty Publications

Background: The novel coronavirus (COVID-19) is considered as the most life-threatening pandemic disease during the last decade. The individual nutritional status, though usually ignored in the management of COVID-19, plays a critical role in the immune function and pathogenesis of infection. Accordingly, the present review article aimed to report the effects of nutrients and nutraceuticals on respiratory viral infections including COVID-19, with a focus on their mechanisms of action.

Methods: Studies were identified via systematic searches of the databases including PubMed/ MEDLINE, ScienceDirect, Scopus, and Google Scholar from 2000 until April 2020, using keywords. All relevant clinical and experimental studies …

Acceleration Of Boltzmann Collision Integral Calculation Using Machine Learning, Ian Holloway, Aihua W. Wood, Alexander Alekseenko

Faculty Publications

The Boltzmann equation is essential to the accurate modeling of rarefied gases. Unfortunately, traditional numerical solvers for this equation are too computationally expensive for many practical applications. With modern interest in hypersonic flight and plasma flows, to which the Boltzmann equation is relevant, there would be immediate value in an efficient simulation method. The collision integral component of the equation is the main contributor of the large complexity. A plethora of new mathematical and numerical approaches have been proposed in an effort to reduce the computational cost of solving the Boltzmann collision integral, yet it still remains prohibitively expensive for …

Understanding Flow Characteristics In Metal Additive Manufacturing, Carl R. Hartsfield, Travis E. Shelton, Gregory R. Cobb, Ryan A. Kemnitz, Joseph Weber

Faculty Publications

In fluid flow, the frictional effects from interior surfaces of flow components create pressure loss across the surface. Understanding this inherent pressure loss due to friction and other phenomena is important when designing a flow system. For conventional manufacturing, friction loss has been empirically studied and is well known in the engineering community. However, newer manufacturing techniques, such as laser powder bed fusion (LPBF), an additive manufacturing technique, need to be understood. The inherent flow conditions resulting from the additive processes were studied. Test samples were printed with the flow path oriented in the vertical direction with different channel diameters …

The Traded Water Footprint Of Global Energy From 2010 To 2018, Christopher M. Chini, Rebecca A. M. Peer

Faculty Publications

The energy-water nexus describes the requirement of water-for-energy and energy-for-water. The consumption of water in the production and generation of energy resources is also deemed virtual water. Pairing the virtual water estimates for energy with international trade data creates a virtual water trade network, facilitating analysis of global water resources management. In this database, we identify the virtual water footprints for the trade of eleven different energy commodities including fossil fuels, biomass, and electricity. Additionally, we provide the necessary scripts for downloading and pairing trade data with the virtual water footprints to create a virtual water trade network. The resulting …

Modeling And Simulation Techniques Used In High Strain Rate Projectile Impact, Derek G. Spear, Anthony N. Palazotto, Ryan A. Kemnitz

Faculty Publications

A series of computational models and simulations were conducted for determining the dynamic responses of a solid metal projectile impacting a target under a prescribed high strain rate loading scenario in three-dimensional space. The focus of this study was placed on two different modeling techniques within finite element analysis available in the Abaqus software suite. The first analysis technique relied heavily on more traditional Lagrangian analysis methods utilizing a fixed mesh, while still taking advantage of the finite difference integration present under the explicit analysis approach. A symmetry reduced model using the Lagrangian coordinate system was also developed for comparison …

Impact Of Neutron Energy On Asteroid Deflection Performance, Lansing S. Horan Iv, Darren E. Holland, Megan Bruck Syal, James E. Bevins, Joseph W. Wasem

Faculty Publications

In the future, a hazardous asteroid will find itself on a collision course with Earth. For asteroids of moderate size or larger, a nuclear device is one of humanity's only technologies capable of mitigating this threat via deflection on a timescale of less than a decade. This work examined how the output neutron energy from a nuclear device standoff detonation affects the deflection of a notional asteroid that is 300 meters in diameter and composed of silicon dioxide at a bulk density of 1.855 g/cm³. 14.1 MeV and 1 MeV neutron energy sources were modeled in MCNP to …

Data Science In Undergraduate Life Science Education: A Need For Instructor Skills Training, Nathan C. Emery, Erika Crispo, Sarah R. Supp, Kaitlin J. Farrell, Andrew J. Kerkhoff

Faculty Publications

No abstract provided.

A Statistical Analysis Of Drug Seizures And Opioid Overdose Deaths In Ohio From 2014 To 2018, David White, Lam Tran, Lin Ma

Faculty Publications

No abstract provided.

Tubular J-Aggregates Of Cyanine Dyes In The Near-Infrared, Austin Bailey, Arundhati Deshmukh, Timothy Luke Atallah, Ulugbek Barotov, Monica Pengshung

Faculty Publications

No abstract provided.

Data Science In Undergraduate Life Science Education: A Need For Instructor Skills Training, Nathan C. Emery, Erika Crispo, Sarah R. Supp, Kaitlin J. Farrell, Andrew J. Kerkhoff

Faculty Publications

No abstract provided.

Estimating The Movements Of Terrestrial Animal Populations Using Broad-Scale Occurrence Data, Sarah R. Supp, Gil Bohrer, John Fieberg, Frank A. La Sorte

Faculty Publications

No abstract provided.

Long‐Term Changes In Temperate Marine Fish Assemblages Are Driven By A Small Subset Of Species, Nicholas J. Gotelli, Faye Moyes, Laura H. Antão, Shane A. Blowes, Sarah R. Supp

Faculty Publications

No abstract provided.

Vegf-A, Pdgf-Bb And Hb-Egf Engineered For Promiscuous Super Affinity To The Extracellular Matrix Improve Wound Healing In A Model Of Type 1 Diabetes, Michael J. White, Priscilla S. Briquez, David White, Jeffrey A. Hubbell

Faculty Publications

No abstract provided.

Making The Diversity, Equity, And Inclusion Mindset Indispensable In The Lis Classroom Through Design, Content, Communication, And Assessment, Kim M. Thompson, Clayton A. Copeland

Faculty Publications

When we incorporate diversity and inclusion into Library and Information Science course design and content and build communication and learning frameworks in the classroom on inclusive principles, we build a cohort of students who cannot “unsee” these basic principles as they engage in practice. By designing lecture and activity materials that allow students to read and engage with different perspectives about professional values and content, we create opportunities for awareness building and prepare students to engage with the same practices as they join the profession. This chapter provides insights for and examples of how to create courses that bring diversity, …

Covid-19 Vaccine And Social Media In The U.S.: Exploring Emotions And Discussions On Twitter, Amir Karami, Michael Zhu, Bailey Goldschmidt, Hannah R. Boyajieff, Mahdi M. Najafabadi

Faculty Publications

The understanding of the public response to COVID-19 vaccines is the key success factor to control the COVID-19 pandemic. To understand the public response, there is a need to explore public opinion. Traditional surveys are expensive and time-consuming, address limited health topics, and obtain small-scale data. Twitter can provide a great opportunity to understand public opinion regarding COVID-19 vaccines. The current study proposes an approach using computational and human coding methods to collect and analyze a large number of tweets to provide a wider perspective on the COVID-19 vaccine. This study identifies the sentiment of tweets using a machine learning …

Estimating Primary Forest Attributes And Rare Community Characteristics Using Unmanned Aerial Systems (Uas): An Enrichment Of Conventional Forest Inventories, Benjamin T. Fraser, Russell G. Congalton

Faculty Publications

The techniques for conducting forest inventories have been established over centuries of land management and conservation. In recent decades, however, compelling new tools and methodologies in remote sensing, computer vision, and data science have offered innovative pathways for enhancing the effectiveness and comprehension of these sampling designs. Now with the aid of Unmanned Aerial Systems (UAS) and advanced image processing techniques, we have never been closer to mapping forests at field-based inventory scales. Our research, conducted in New Hampshire on complex mixed-species forests, used natural color UAS imagery for estimating individual tree diameters (diameter at breast height (dbh)) as well …