Digital Commons Network^™

An Urban Tree (Tabebuia Argentea) Exhibits Higher Sensitivity To Environmental Conditions Than An Urban Palm (Ptychosperma Macarthurii) Growing In The Same Roof Garden: An Implication For Sustainable Urban Water Use, Ratchanon Ampornpitak, Prangwilai Khobpee, Weerapong Unawong, Nisa Leksungnoen, Pantana Tor-Ngern

Applied Environmental Research

Roof gardening is popular for increasing green space in cities due to the restricted urban areas. However, when watering plants on a roof garden, one should consider loading capacity of the roof, which may limit water supply to the plants therein. To improve the efficiency in irrigating trees in a roof garden, we evaluated plant water status, represented by midday leaf water potential (ΨL), and leaf gas exchange parameters including stomatal conductance (gs) and net photosynthesis (An) of a tree (Tabebuia argentea, Ta) and a palm (Ptychosperma macarthurii, Pm) species, which dominate the garden. …

Impact Of Covid-19 Nationwide Lockdowns And Unlock Phases In India On River Water Quality Of Upper Part Of The Ganga River, Dhara Kakwani, Abha Kumari, Kumar Suranjit Prasad, Bablu Prasad

Applied Environmental Research

The river water quality index (RWQI) of the upper Ganga canal has been computed to assess the effect of lockdown and unlock phases lead down by COVID-19 in India. Geospatial distribution of RWQI from January 2019 to December 2021 in the study area revealed significant impacts of lockdown on water quality. However, unlock phases (post lockdown) have deteriorated water quality since August 2020 and reached to actual conditions of the river by August 2021. To evaluate the lockdown as a management strategy to clean the river, other factors were reviewed including rainfall data, migration, and other activities. The results revealed …

The Relationship Between Principal Perceptions On Leadership And Inclusive Education With Growth Model Outcomes For Students With Disabilities, Jason F. Bletzinger

All-Inclusive List of Electronic Theses and Dissertations

Now more than ever, school principals play a critical role in the effective implementation of inclusive education programs in their schools, as inclusive practices are becoming tightly embedded in a schools culture (Sailor, 2016; Shogren et al., 2015). The success of inclusive education programs has been primarily supported by school principals positive attitudes toward inclusion (Romanuck Murphy, 2018; Urton et al., 2014). With increasing pressure to provide legally compliant and quality inclusive special education services in schools, it has become more critical than ever that school principals not only recognize the roles and responsibilities they play in leading inclusive education …

Critical Space Infrastructure: A Complex System Governance Perspective, Adrian V. Gheorghe, James C. Pyne, Joseph Sisti, Charles B. Keating, Polinpapilinho F. Katina, William Edmonson

Engineering Management & Systems Engineering Faculty Publications

This paper examines the applicability of Complex System Governance (CSG) to advance the Critical Space Infrastructure field (CSI). CSI encompasses space related hardware, workforce, environment, facilities, and businesses that are necessary for societal well-being. CSI is increasing in importance as more societal serving systems are becoming dependent on CSI to operate. Given this increasing dependence on CSI, societal sectors are increasingly at risk should something go wrong with CSI upon which they depend. CSI has been developing is a fragmented way and lacks coherent organization. CSG is focused on design, execution, and evolution of system functions that provide for communications, …

Health Care Equity Through Intelligent Edge Computing And Augmented Reality/Virtual Reality: A Systematic Review, Vishal Lakshminarayanan, Aswathy Ravikumar, Harini Sriraman, Sujatha Alla, Vijay Kumar Chattu

Engineering Management & Systems Engineering Faculty Publications

Intellectual capital is a scarce resource in the healthcare industry. Making the most of this resource is the first step toward achieving a completely intelligent healthcare system. However, most existing centralized and deep learning-based systems are unable to adapt to the growing volume of global health records and face application issues. To balance the scarcity of healthcare resources, the emerging trend of IoMT (Internet of Medical Things) and edge computing will be very practical and cost-effective. A full examination of the transformational role of intelligent edge computing in the IoMT era to attain health care equity is offered in this …

Creating Portfolio Management Concepts For Highly Agile And Innovative Government Research Programs Using Design Thinking And Learn Start Up Methodologies, Vanessa Aubuchon, Resit Unal, Pilar Pazos, Holly Handley, Cindy Daniels

Engineering Management & Systems Engineering Faculty Publications

Managing a research and development (R&D) portfolio presents numerous challenges, such as prioritizing research areas, remaining agile, strategic workforce planning, and measuring return on investment, impact, and innovation. One government R&D program is charged with producing a high degree of innovative, transformational breakthroughs in aviation technology. A practical, structured methodology for strategically prioritizing emerging aviation R&D in such an environment is lacking. The existing multi-criteria decision aid tools are primarily utilized at an enterprise level, take months to set up and collect data, require large teams of experts, are used on an infrequent basis, and are not conducive to a …

Embok 5.0 - Industry 4.0/5.0 Manifest And Latent Dimensions Mapping To The Asem Embok, T. Steven Cotter

Engineering Management & Systems Engineering Faculty Publications

Industry 3.0 automation emerged replacing human labor with high volume processes and robotics. Industry 4.0, cyber-physical systems, and Industry 5.0, mass customization and cognitive systems, are in the early stages of emergence. Research into the impact of Industry 4.0 and 5.0 is focused at the strategic or organizational levels or on the technological challenges. Research into the impact of Industry 4.0 and 5.0 on engineering management has been limited to their impact on project management. This leaves open the question of the directions in which ASEM should evolve the Engineering Management Body of Knowledge (EMBOK) under the emergence of Industry …

Development Of A Teaching-Learning-Prediction-Collaboration Model For Human-Robot Collaborative Tasks, Omar Obidat, Jesse Parron, Rui Li, Julia Rodano, Weitian Wang

School of Computing Faculty Scholarship and Creative Works

Human-robot collaboration has been one of the main focuses for both research and usage in advanced manufacturing. In human-robot partnerships, instead of static collaboration for repetitive tasks, it is more significant for the robot to dynamically understand its human partner's intentions and collaborate with them to complete the shared tasks. Motivated by these issues, we develop a model for the robot to learn to complete tasks by watching and analyzing human demonstrations. This allows the robot to become more accurate and customizable with each human's personalized working preference. Based on the long short-term memory method, we propose a new approach …

Legend At Araieval Shared Task: Persuasion Technique Detection Using A Language-Agnostic Text Representation Model, Olumide E. Ojo, Olaronke O. Adebanji, Hiram Calvo, Damian O. Dieke, Olumuyiwa E. Ojo, Seye E. Akinsanya, Tolulope O. Abiola, Anna Feldman

School of Computing Faculty Scholarship and Creative Works

In this paper, we share our best performing submission to the Arabic AI Tasks Evaluation Challenge (ArAIEval) at ArabicNLP 2023. Our focus was on Task 1, which involves identifying persuasion techniques in excerpts from tweets and news articles. The persuasion technique in Arabic texts was detected using a training loop with XLM-RoBERTa, a language-agnostic text representation model. This approach proved to be potent, leveraging fine-tuning of a multilingual language model. In our evaluation of the test set, we achieved a micro F1 score of 0.64 for subtask A of the competition.

Price Of Stability In Quality-Aware Federated Learning, Yizhou Yan, Xinyu Tang, Chao Huang, Ming Tang

School of Computing Faculty Scholarship and Creative Works

Federated Learning (FL) is a distributed machine learning scheme that enables clients to train a shared global model without exchanging local data. The presence of label noise can severely degrade the FL performance, and some existing studies have focused on algorithm design for label denoising. However, they ignored the important issue that clients may not apply costly label denoising strategies due to them being self-interested and having heterogeneous valuations on the FL performance. To fill this gap, we model the clients' interactions as a novel label denoising game and characterize its equilibrium. We also analyze the price of stability, which …

Comprehensive Cough Data Analysis On Coda Tb, Jyoti Yadav, Aparna S. Varde, Lei Xie

School of Computing Faculty Scholarship and Creative Works

This work leverages CODA TB, a groundbreaking dataset for a novel comprehensive method of early TB detection from medical big data. Departing from the erstwhile, we find mere cough duration less effective in TB prediction. We discover key demographic and clinical factors (e.g. heart rate, presenting symptoms) to be crucial in distinguishing TB cases, motivating comprehensive cough data analysis with enhanced screening.

A Digital Human System With Realistic Facial Expressions For Friendly Human-Machine Interaction, Anthony Condegni, Weitian Wang, Rui Li

School of Computing Faculty Scholarship and Creative Works

Digital human technology can be applied to many areas, especially at the interaction of intelligent machines, digital 3D, and human-machine interaction. This paper develops a digital human system that enhances friendly interaction between humans and machines through synchronized and realistic facial expressions, based on tracking data from a human user. The details of this paper can be summarized in three parts. First, customize and build a 3D model for the digital human. Second, create a parameterized 3D model for different facial animations. Third, track the user for synchronizing the facial expressions of the customized digital human. The experimental results and …

Ucc Engineering Mgmt Concentration For Bse, Kettering University

Assurance Argument Evidence Files

No abstract provided.

“Like A Whole Thing”: Dialogic Sensemaking In One Sixth Grade Classroom, Catherine Bienkowski

West Chester University Doctoral Projects

This qualitative study used a constructivist approach to better understand how students in one sixth grade classroom participate in dialogic discussions while making sense of texts. Participants in the study attended a suburban, public, high-performing middle school in Pennsylvania. Drawing on Sociocultural Learning Theory and Transactional Reading Theory, the researcher observed one English Language Arts class. Nine students participated in five reading events over a period of two months. Data collection, informed by linguistic ethnographic methods, included audio recordings, transcriptions of reading events, fieldnotes, and transcriptions of one on one and small group interviews. In Vivo coding of the interview …

My Sister Is My Role Model: Why Girls Choose Science, Patricia Butler

West Chester University Doctoral Projects

Increasing the number of people who choose science is of national importance for both the economy and scientific dominance (Wang, 2013). Women and girls are underrepresented in science, technology, engineering, and math, or STEM, fields their numbers are increasing, however, they are doing so disproportionally. Women are a minority in fields such as engineering and computer science, but are well-represented in the biological sciences. This mixed methods study investigated the intersection of gender and science identity and how girls formed science identities. This study used Mann-Whitney U tests to analyze the Likert scale data and both a priori and inductive …

Colby College Catalog 2023–2024, Colby College

Colby Catalogues

No abstract provided.

The Democratic Imperative To Make Margins Matter, Daniel Wodak

Maryland Law Review

No abstract provided.

Should The United States Adopt Federal Artificial Intelligence Regulation Similar To The European Union, Jean Joseph

Loyola University Chicago International Law Review

Artificial Intelligence (AI) promises to revolutionize our everyday lives and how we approach all sectors of the economy and society. For the laundry list of benefits this form of technology provides, there is a concern as to the ways Al can produce troubling outcomes - including racial discrimination and social inequality. The United States House of Representatives introduced the National Al Initiative Act of 2020 (NAIIA) to ensure continued US leadership in Al research and development. However, the NAIIA leaves issues concerning the risk of biases and discrimination associated with using Al systems to federal agencies and state governments. While …

Tennessee Higher Education Fact Book 2022-2023, Tennessee Higher Education Commission

Higher Education Fact Book

This document is an overview of data collected by the Tennessee Higher Education Commission.

Identification Of Rickettsia Prowazekii Methionine Aminopeptidase Inhibitors And Development Of Thermal Shift Assays For Burkholderia Pseudomallei Ispf And Sars-Cov-2 3cl Protease, Ishpriya Sharma

Graduate Research Theses & Dissertations

There is a crucial need for new antibacterial agents to combat the increase in antibiotic resistance. Methionine aminopeptidase (MetAp) is an enzyme that removes the amino-terminal methionine residue from newly synthesized proteins, an important step in the maturation of proteins. As such, MetAp is a target for the development of antibacterial and anticancer agents. One such bacterial target is Rickettsia prowazekii (Rp), the causative agent of epidemic typhus. To discover new inhibitors of RpMetAp1, the MMV Malaria Box, which is a collection of 400 compounds with drug-like and probe-like compounds, was screened using a high throughput fluorescence-based RpMetAp1 enzyme inhibition …

Eastern Michigan University, Winter Commencement, December 17, 2023, Eastern Michigan University

Commencement Programs and Materials

No abstract provided.

Designing A Library Peer Observation Instrument: A Review Of The Literature, Eric Silberberg

LOEX Conference Proceedings 2023

No abstract provided.

Thriving In The U-Curve: Helping College Learners Learn Via Wicor, Acrl Framework, And Purple Bricks, Joshua Salmans, James Durham

LOEX Conference Proceedings 2023

No abstract provided.

Variable- And Person-Centered Approaches To Examining Construct-Relevant Multidimensionality In Writing Self-Efficacy, Morgan Les Debusk-Lane, Sharon Zumbrunn, Christine Lee Bae, Michael D. Broda, Roger Bruning, Ashlee L. Sjogren

Department of Educational Psychology: Faculty Publications

Self-efficacy is an essential component of students’ motivation and success in writing. There have been great advancements in our theoretical understanding of writing self-efficacy over the past 40 years; however, there is a gap in how we empirically model the multidimensionality of writing self-efficacy. The purpose of the present study was to examine the multidimensionality of writing selfefficacy, and present validity evidence for the adapted Self-Efficacy for Writing Scale (SEWS) through a series of measurement model comparisons and person-centered approaches. Using a sample of 1,466 8th–10th graders, results showed that a bifactor exploratory structural equation model best represented the data, …

Applying Machine Learning To Categorize Distinct Categories Of Network Traffic, Isaac M. Dunham

Senior Honors Theses and Projects

The recent rapid growth of the field of data science has made available to all fields opportunities to leverage machine learning. Computer network traffic classification has traditionally been performed using static, pre-written rules that are easily made ineffective if changes, legitimate or not, are made to the applications or protocols underlying a particular category of network traffic. This paper explores the problem of network traffic classification and analyzes the viability of having the process performed using a multitude of classical machine learning techniques against significant statistical similarities between classes of network traffic as opposed to traditional static traffic identifiers.

To …

Discoverinsects.Com: An Interactive Tool To Introduce Younger Audiences To Entomology, Ian Eldred

Department of Entomology: Distance Master of Science Projects

Early in life, children’s views towards arthropods can be tainted by many things. One major way is through the views held and expressed by those that surround them, especially their caregivers. Tools are needed to reach children during these crucial developmental ages and expose them to all of the wonderful things arthropods do and educate them on how big of a role arthropods play in the lives of every human around the globe. As digital technology in households is becoming more apparent and accessible, new ways to engage these audiences need to be developed and utilized. This creates a unique …

Towards Modeling Human Attention From Eye Movements For Neural Source Code Summarization, Aakash Bansal, Bonita Sharif, Collin Mcmillan

School of Computing: Faculty Publications

Neural source code summarization is the task of generating natural language descriptions of source code behavior using neural networks. A fundamental component of most neural models is an attention mechanism. The attention mechanism learns to connect features in source code to specific words to use when generating natural language descriptions. Humans also pay attention to some features in code more than others. This human attention reflects experience and high-level cognition well beyond the capability of any current neural model. In this paper, we use data from published eye-tracking experiments to create a model of this human attention. The model predicts …

Turfgrass Alternatives For The Modern Yard, John Lonowski

Department of Environmental Studies: Undergraduate Student Theses

The considerable maintenance and irrigation required of turfgrass lawns can often be seen as a fruitless endeavor, as it consumes substantial resources but yields minimal economic benefit. The goal of this paper is to highlight the resource needs of traditional turfgrass lawns and identify and test alternative lawn types that are still aesthetically pleasing while being more sustainable than traditional turfgrass. To obtain the results, the experiment was conducted in Alda, Nebraska employing a randomized complete block design, which tested four entries at two separate locations, each with three replications. The entries include: 1. Buffalograss, 2. Tall Fescue, 3. White …

Evaluating Biophilic Design Characteristics In Lincoln Public Schools, Sarah Burr

Department of Environmental Studies: Undergraduate Student Theses

A mixed qualitative-quantitative study was conducted in Lincoln, Nebraska to observe and evaluate the biophilic design characteristics in Lincoln Public Schools (LPS). There is a significant lack of nature in urban environments, especially in older buildings and schools, therefore incorporating natural elements in school buildings can promote the success of students and contribute to improved well-being. The research question this study aims to address is: How and to what degree are Lincoln Public Schools integrating biophilic design characteristics in their high school buildings? Four high schools were toured utilizing an evaluation form with 10 biophilic design characteristics and a 5-point …

Interspecific Oral Rabies Vaccine Bait Competition In The Southeast United States, Wesley C. Dixon, Jacob E. Hill, Richard Chipman, Amy J. Davis, Amy Gilbert, James C. Beasley, Olin E. Rhodes Jr., Guha Dharmarajan

United States Department of Agriculture Wildlife Services: Staff Publications

The United States Department of Agriculture’s National Rabies Management Program (NRMP) has coordinated the use of oral rabies vaccination (ORV) to control the spread of raccoon rabies virus variant west of the Appalachian Mountains since 1997. Working with state and local partners, the NRMP deploys ORV baits containing a rabies vaccine, primarily targeting raccoon populations (Procyon lotor). Bait competition between raccoons and non-target species may limit the effectiveness of ORV programs, but the extent of bait competition remains poorly quantified, particularly in the southeastern United States. We placed placebo ORV baits in bottomland hardwood (n = 637 baits) and upland …