Digital Commons Network^™

Increasing Pathways To Medicine And Improving Patient Outcomes: A Multi-Systems Approach, David S. Buck, Robert D. Sanborn, Jessica Mantel, Kenya Steele

Journal of Applied Research on Children: Informing Policy for Children at Risk

No abstract provided.

Online Assessment In Large Undergraduate Courses During Covid-19 Emergency Response Teaching, Kate Maloney Williams, Alice E. Donlan

Journal of Educational Research and Practice

The transition to online instruction during the COVID-19 pandemic was unprecedented and forced many universities to quickly embrace online distance learning. This context created new challenges, particularly around assessment strategies. Empirical research has demonstrated that formative assessment fosters more active learning in online classrooms. However, formative assessment strategies are not always adapted well to online platforms based on the nature of the subject matter and the size of the class. This qualitative case study sought to understand instructors’ experiences and strategies for conducting assessment remotely, specifically for large-size undergraduate courses. The investigation relied on data from semi-structured interviews with University …

Real-Time Arrhythmia Detection Using Convolutional Neural Networks, Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue, Francis M. Haas, Robert A. Hirsh, Xinghui Zhao

Henry M. Rowan College of Engineering Departmental Research

Cardiovascular diseases, such as heart attack and congestive heart failure, are the leading cause of death both in the United States and worldwide. The current medical practice for diagnosing cardiovascular diseases is not suitable for long-term, out-of-hospital use. A key to long-term monitoring is the ability to detect abnormal cardiac rhythms, i.e., arrhythmia, in real-time. Most existing studies only focus on the accuracy of arrhythmia classification, instead of runtime performance of the workflow. In this paper, we present our work on supporting real-time arrhythmic detection using convolutional neural networks, which take images of electrocardiogram (ECG) segments as input, and classify …

The Influence Of Grazing Systems On Bird Species Richness And Density In The Nebraska Sandhills, Silka L.F. Kempema, Walter H. Schacht, Larkin A. Powell

School of Natural Resources: Faculty Publications

Grazing is the de facto method of habitat management used in much of the Nebraska Sandhills. Ranchers use a variety of grazing systems, and our goal was to evaluate the effects of systems on grassland birds. We estimated the species richness and density of grassland birds for three grazing systems used on private ranches: long, medium, and short duration grazing systems. We observed sixty species, and the grazing system with pastures utilizing long duration grazing periods had the highest estimates of species richness as well as the most heterogeneous habitat structure. Differences in species richness among systems were most pronounced …

Jewish Music Sound Recording Collections In The United States, Judith S. Pinnolis

Faculty Works

This chapter examines several significant Jewish music sound-recording collections in the United States, most of which originated as private collections but are now housed at academic institutions. Their origins provide insight into individual agency tied to different understandings of Jewish music. A discussion of their complexities from a library-science perspective focuses on conservation and preservation as well as bibliographic control and other issues in which the complexities of Jewish music unfold more clearly. Authenticity, comprehensiveness, and other constructions demonstrate how sound-recording collections reflect the overall difficulties of defining and delimiting Jewish music. Subsequent discussions and observations on access and audiences …

Mechanisms And Opportunities For Rational In Silico Design Of Enzymes To Degrade Per- And Polyfluoroalkyl Substances (Pfas), Melissa Marciesky, Diana S. Aga, Ian M. Bradley, Nirupam Aich, Carla Ng

Department of Civil and Environmental Engineering: Faculty Publications

Per and polyfluoroalkyl substances (PFAS) present a unique challenge to remediation techniques because their strong carbon−fluorine bonds make them difficult to degrade. This review explores the use of in silico enzymatic design as a potential PFAS degradation technique. The scope of the enzymes included is based on currently known PFAS degradation techniques, including chemical redox systems that have been studied for perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) defluorination, such as those that incorporate hydrated electrons, sulfate, peroxide, and metal catalysts. Bioremediation techniques are also discussed, namely the laccase and horseradish peroxidase systems. The redox potential of known reactants and …

Contributor's Guidelines, Usawc Press

The US Army War College Quarterly: Parameters

No abstract provided.

'Deck The Halls' With Lots Of Safety This Holiday Season With These 6 Tips From A Uab Expert, Micah Hardge

Browse All News

No abstract provided.

Integrity, Confidentiality, And Equity: Using Inquiry-Based Labs To Help Students Understand Ai And Cybersecurity, Richard C. Alexander, Liran Ma, Ze-Li Dou, Zhipeng Cai, Yan Huang

Journal of Cybersecurity Education, Research and Practice

Recent advances in Artificial Intelligence (AI) have brought society closer to the long-held dream of creating machines to help with both common and complex tasks and functions. From recommending movies to detecting disease in its earliest stages, AI has become an aspect of daily life many people accept without scrutiny. Despite its functionality and promise, AI has inherent security risks that users should understand and programmers must be trained to address. The ICE (integrity, confidentiality, and equity) cybersecurity labs developed by a team of cybersecurity researchers addresses these vulnerabilities to AI models through a series of hands-on, inquiry-based labs. Through …

Malicious Game Client Detection Using Feature Extraction And Machine Learning, Spencer J. Austad

Theses and Dissertations

Minecraft, the world's best-selling video game, boasts a vast and vibrant community of users who actively develop third-party software for the game. However, it has also garnered notoriety as one of the most malware-infested gaming environments. This poses a unique challenge because Minecraft software has many community-specific nuances that make traditional malware analysis less effective. These differences include unique file types, differing code formats, and lack of standardization in user-generated content analysis. This research looks at Minecraft clients in the two most common formats: Portable Executable and Java Archive file formats. Feature correlation matrices showed that malware features are too …

Cognitive Function Among Military Veterans With Stem Occupations., Justin T Mcdaniel, Kevin N Hascup, Erin R Hascup, Ugochukwu G Ezigbo, Amanda M Weidhuner, Harvey Henson, David L Albright

Articles

No abstract provided.

Cognitive Function Among Military Veterans With Stem Occupations., Justin T Mcdaniel, Kevin N Hascup, Erin R Hascup, Ugochukwu G Ezigbo, Amanda M Weidhuner, Harvey Henson, David L Albright

Articles

No abstract provided.

“...I Have My Dad, Sister, Brother, And Mom’S Password”: Unveiling Users’ Mental Models Of Security And Privacy-Preserving Tools, Prakriti Dumaru, Ankit Shrestha, Rizu Paudel, Cassity Haverkamp, Maryellen Mcclain Verdoes, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Purpose: Security and privacy-preserving tools (for brevity, we term them as ‘security tools’ in this paper, unless otherwise specified) are designed to protect the security and privacy of people in the digital environment. However, inappropriate use of these tools can lead to unexpected consequences that are preventable. Hence, it is significant to examine why users do not understand the security tools.

Methodology: We conducted a qualitative study with 40 participants in the USA to investigate the prevalent misconceptions of people regarding security tools, their perceptions of data access, and the corresponding impact on their usage behavior and data protection strategies. …

Enhanced Luminescence Efficiency In Eu-Doped Gan Superlattice Structures Revealed By Terahertz Emission Spectroscopy, Fumikazu Murakami, Atsushi Takeo, Brandon Mitchell, Volkmar Dierolf, Yasufumi Fujiwara, Masayoshi Tonouchi

Physics & Engineering Faculty Publications

Eu-doped Gallium nitride (GaN) is a promising candidate for GaN-based red light-emitting diodes, which are needed for future micro-display technologies. Introducing a superlattice structure comprised of alternating undoped and Eu-doped GaN layers has been observed to lead to an order-of-magnitude increase in output power; however, the underlying mechanism remains unknown. Here, we explore the optical and electrical properties of these superlattice structures utilizing terahertz emission spectroscopy. We find that ~0.1% Eu doping reduces the bandgap of GaN by ~40 meV and increases the index of refraction by ~20%, which would result in potential barriers and carrier confinement within a superlattice …

Empowering Futures: Matthew's Knights Of Distinction Leadership E-Portfolio In Academic Excellence, Matthew A. Hernandez

High Impact Practices Student Showcase Fall 2023

My presentation centers on my E-Portfolio, seamlessly incorporating three key milestones from the Knights of Distinction program into significant events. Beginning with a brief personal introduction, I shared why I became a physics major, and explored the roots of my passion for space. Utilizing a visual aid, my poster board, I elucidated each focus area and its relevance to my aspirations and societal contributions. The first focus area was Citizenship and how I attended an “Industry BBQ” with the hopes of gaining valuable information to share it with other engineers. The second focus area was about leadership and my role …

Root-Associated Bacterial Communities And Root Metabolite Composition Are Linked To Nitrogen Use Efficiency In Sorghum, Yen Ning Chai, Yunhui Qi, Emily Goren, Dawn Chiniquy, Amy M. Sheflin,, Susannah G. Tringe, Jessica E. Prenni, Peng Liu, Daniel P. Schachtman

Department of Agronomy and Horticulture: Faculty Publications

The development of cereal crops with high nitrogen use efficiency (NUE) is a priority for worldwide agriculture. In addition to conventional plant breeding and genetic engineering, the use of the plant microbiome offers another approach to improving crop NUE. To gain insight into the bacterial communities associated with sorghum lines that differ in NUE, a field experiment was designed comparing 24 diverse Sorghum bicolor lines under sufficient and deficient nitrogen (N). Amplicon sequencing and untargeted gas chromatography–mass spectrometry were used to characterize the bacterial communities and the root metabolome associated with sorghum genotypes varying in sensitivity to low N. We …

11.20.2023 Orsp Connect, Liz Williamson

ORED Newsletter

ORSP Newsletter for the week of November 20, 2023.

The Echo: November 20, 2023, Taylor University

2023-2024 (Volume 111)

No abstract provided.

Integration Of Algae And Biomass Processes To Synthesize Renewable Bioproducts For The Circular Economy, Jessica Martin

USF Tampa Graduate Theses and Dissertations

Rapid population growth and global industrialization have substantially heightened the demand for fossil-based fuels and products in various sectors of the global economy, including energy production, transportation fuels, and as raw materials for petrochemicals. The intense consumption of fossil fuels has caused immense environmental impacts, especially pertaining to carbon dioxide emissions. Shifting to renewable feedstocks (raw materials) is expected to reduce these emissions by lowering the carbon footprint of fuels and products compared to traditional fossil-derived alternatives. This transition aligns with the goal of creating a sustainable and circular economy, emphasizing efficient resource use, and reducing waste generation through recycling …

Finalists Announced: 2023 Social Venture Innovation Challenge, Sustainability Institute

Sustainability Institute Blog

No abstract provided.

Elucidating The Architecture Of The Tclijn Complex That Converts Cysteine To Thiazoles In The Biosynthesis Of Micrococcin, Diana G. Calvopina Chavez

Theses and Dissertations

Thiopeptides are a family of antimicrobial peptides that are characterized for having sulfur-containing heterocycles, and for being highly post-translationally modified. Numerous thiopeptides have been identified; almost all of which inhibit protein synthesis in gram-positive bacteria. These intrinsic antimicrobial properties make thiopeptides promising candidates for the development of new antibiotics. The antimicrobial peptide micrococcin is a thiopeptide that is synthesized by the ribosome and undergoes several post-translational modifications (PTMs). Micrococcin is formed from a precursor peptide, TclE. TclE comprises an N-terminal leader (35-AA) that is crucial for recognition of the PTM machinery, alongside a C-terminal core sequence (14-AA) that undergoes multiple …

Radiofrequency Inactivation Of Salmonella In Black Pepper And Dried Basil Leaves Using In-Package Steaming, Surabhi Wason, Rossana Villa-Rojas, Jeyamkondan Subbiah

Department of Food Science and Technology: Faculty Publications

Radiofrequency (RF) heating has been extensively studied for pasteurizing low‐moisture foods. Currently, bulk foods are treated with radiofrequency; potential cross‐contamination may occur during packaging of pasteurized products. As an alternative, in‐package RF processing was evaluated for Salmonella inactivation on black peppercorns and dried basil leaves and prevention of cross‐contamination during storage postprocessing. Inpackage steaming refers to the process in which the samples were heated in a steam vent package to generate and retain steam during the treatment. This treatment achieved good heating uniformity which could be because of the circulation of steam within the package. One‐way steam vent allowed the …

Deterring Russian Nonstrategic Nuclear Weapons: A Revised Approach, Cliff R. Parsons

The US Army War College Quarterly: Parameters

A change in deterrence thought and strategy is necessary to avoid nuclear escalation in armed conflict with Russia. Traditional threat based deterrence strategies will not be successful, and a new strategy must address the conditions that might cause Russian leadership to employ nuclear weapons. An examination of the Able Archer 83 exercise using an original framework highlights the ways Russian interests and US actions interact to generate misperception and inhibited deterrence. The US military must execute extremely restrained, deliberate, and empathetic operations that pursue minimalist military objectives to achieve the political goal.

Ambivalent Offshore Balancer: America In The Middle East And Beyond, John M. Schuessler

The US Army War College Quarterly: Parameters

This article enters the debate on American grand strategy by questioning the logic underpinning offshore balancing. It concludes that the United States is an ambivalent balancer due to the stopping power of water. It builds on the relevant literature in International Relations, producing a novel set of theoretical propositions that are applied to the contemporary Middle East. There and elsewhere, the United States could fail to maintain the balance of power when it is most threatened.

Teaching The Equivalent Rectangular Stress Block, J. Chris Carroll, Ben Dymond, Anahid Behrouzi

Architectural Engineering

The equivalent rectangular stress block is the basis for determining the flexural strength of reinforced concrete members. Instructors commonly present the concept in two dimensions, contrary to its three-dimensional nature. Unfortunately, this can be particularly difficult for students to understand and visualize, especially for students with visual learning style preferences. This paper presents an overview of the equivalent rectangular stress block, select active learning methods, and four specific examples used by the authors to introduce the equivalent rectangular stress block in an undergraduate reinforced concrete design course. The first method focuses on understanding the terms associated with the equivalent rectangular …

Lipid Membranes-Mediated Interactions And Self-Assembly Of Spherocylindrical Nanoparticles, Abash Sharma

Electronic Theses and Dissertations Archive

This dissertation highlights the pivotal role of nanoparticles (NPs) anisotropy on their adhesion and potential self-assembly on lipid membranes. The research, which is performed in the context of spherocylindrical NPs (SCNPs), offers valuable insights into the complex interaction between NPs and lipid membranes and the utilization of lipid membranes as a medium for SCNPs self-assembly, potentially opening the door to various advanced applications. Modeling SNCPs as triangulated hollow shells, the adhesion modes and endocytosis of SCNPs on tensionless planar membranes are investigated using molecular dynamics simulations of a coarse-grained implicit-solvent model. The SCNPs are shown to adhere to the membrane …

Iprec And Isoblaze: Fuzzy Subcircuit Isomorphism For Ip Detection In Physical Netlists, Dallin Dahl, Corey Simpson, Keenan Faulkner, Brent Nelson, Jeffrey Goeders

Student Works

Netlist reverse engineering has many uses, from detecting hardware trojans to recovering missing design source files. However, the basic problem of finding IP in a netlist has not been widely discussed. The problem boils down to subgraph isomorphism on graphs constructed from netlists. We present two approaches to identifying IP in larger circuits. IPRec focuses on exploiting hierarchy in the IP design and is a rather conservative approach, while Isoblaze focuses on local properties and connectivity and is more liberal in matching.

School Counselors’ Perspectives On Drama-Free Tweens Program For Black Tween Girls’ Behavior, Linda Thomas Poindexter

Walden Dissertations and Doctoral Studies

No abstract provided.

Effect Of Methylene Blue On Wetting Characteristics Of Quartz/H2/Brine Systems: Implication For Hydrogen Geological Storage, Fatemah Alhamad, Mujahid Ali, Nurudeen P. Yekeen, Muhammad Ali, Hussein Hoteit, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Hydrogen (H2) is considered a promising replacement for fossil fuels due to its enormous potential as an environmentally friendly and sustainable option compared to carbon-based fossil fuels. However, storing the vast quantity of H2 required to satisfy the global energy demand on the earth's surface can be difficult due to its compressibility and volatility. The best option for large-scale storage is underground H2 storage (UHS), which can be retrieved when needed. Rock wettability is vital in UHS because it determines the H2 storage capacity, containment security, and potential withdrawal and injection rates. Organic acid inherent in storage formations could make …

Symplectic Lattice Gauge Theories In The Grid Framework: Approaching The Conformal Window, Ed Bennett, Peter A. Boyle, Debbio L Del, Niccolò Forzano, Deog Ki Hong, Jong Wan Lee, Julian Lenz, C. J.David Lin, Biagio Lucini, Alessandro Lupo, Maurizio Piai, Davide Vadacchino

School of Engineering, Computing and Mathematics

Symplectic gauge theories coupled to matter fields lead to symmetry enhancement phenomena that have potential applications in such diverse contexts as composite Higgs, top partial compositeness, strongly interacting dark matter, and dilaton-Higgs models. These theories are also interesting on theoretical grounds, for example in reference to the approach to the large-N limit. A particularly compelling research aim is the determination of the extent of the conformal window in gauge theories with symplectic groups coupled to matter, for different groups and for field content consisting of fermions transforming in different representations. Such determination would have far-reaching implications, but requires overcoming huge …