Digital Commons Network^™

Route Condition Estimation By Video Data Analysis, Sharafat Hossain

Theses and Dissertations

Catastrophic natural disasters have an impact on millions of individuals each year, whether directly or indirectly. A successful rescue operation can save a great deal of lives in the post-disaster phase, but researchers are still facing difficulties in carrying this out. Even while they are in peril, today's people frequently post updates about their whereabouts on well-known social media platforms, sometimes even asking for help. A prompt and appropriate response to these catastrophic events depends on developing an efficient and automated approach capable of retrieving real-time data from impacted locations and extracting essential elements. The research focuses on predicting flood …

Strategic Morphology Interventions For Vocabulary Knowledge In Reading Comprehension, Danielle Marie Sharpe

Masters Theses

Many adolescent students have been shown to fall behind gradually as they reach

secondary grade levels. This has been researched as the effect of socioeconomic factors,

lack of immersive vocabulary backgrounds, and gaps in elementary years. Extensive

research has shown the benefits of morphology instruction in secondary students in

bridging vocabulary gaps, yet many schools have yet to provide them with the support to

comprehend difficult texts across content areas. This project explores the possible benefits

of offering adolescents the extra support and resources that can leverage reading

comprehension across content areas within secondary education. Through the use of

implementing …

Adaptation Of Several Hybrid Maize In West Nusa Tenggara Drylands Using Modified Plant Spacing For Optimal Seed And Biomass Productions, Karlina Syahruddin, Suwardi, Slamet Bambang Priyanto, Roy Efendi, Herawati, Abdul Fattah, Rahman, Hasbi, Aminah, Fatmawati, Sigit Budi Santoso, Lesty Ayu Bidhari, Muhammad Abid

Jurnal Kultivasi

Maize is a crucial multipurpose strategic food crop in Indonesia. Land expansion employing dry land, row-space technology, and suitable varieties, is emerging as the solution to fulfill the rising need for seeds and biomass. The study was carried out from August to December using a factorial randomized block design consisting of two treatment factors, namely the treatment factor of 6 varieties and 2 row-spacings, to verify the new superior hybrid maize, which is adaptable in dry land Senayan village, Poto Tano sub-district, West Sumbawa district, and West Nusa Tenggara (NTB). The results showed that JH 37 and JH 29 varieties …

Recombination-Mediated Dissemination Of Methicillin-Resistant S Aureus Clonal Complex 1 In The Egyptian Health Care Settings, Salma W Elsayed, Reem A Elghaish, Eman Badr, Shaimaa F Mouftah, Nehal A Saif, Iman S Naga, Ahmed H Shata, Ben Pascoe, Samuel K Sheppard, Mohamed Elhadidy

Faculty, Staff and Student Publications

Background: Methicillin-resistant Staphylococcus aureus (MRSA) is a rapidly evolving pathogen that is frequently associated with outbreaks and sustained epidemics. This study investigated the population structure, resistome, virulome, and the correlation between antimicrobial resistance determinants with phenotypic resistance profiles of 36 representative hospital-acquired MRSA isolates recovered from hospital settings in Egypt.

Results: The community-acquired MRSA lineage, clonal complex 1 (CC1) was the most frequently detected clone, followed by three other globally disseminated clones, CC121, CC8, and CC22. Most isolates carried SCCmec type V and more than half of isolates demonstrated multi-drug resistant phenotypes. Resistance to linezolid, a last resort antibiotic for …

Stochastic Point Process Modeling For Engineering Applications, Samarth Motagi

Doctoral Dissertations and Master's Theses

Hawkes model or self-exciting point process model is a branching point process model. The model classifies the dataset of discrete events to background and offspring events. It has been used to study interconnected events in many fields, but relatively little work exists in applying these concepts to engineering problems. In our research, we use a self-exciting point process model for two engineering applications: (a) To identify secondary crashes from a given traffic data and (b) To quantify the agglomeration state and size of nanoparticles from computationally generated carbon nanotube microstructure using stochastic percolation model and experimentally generated titanium nanoparticle microstructures. …

A Personal Tribute To Professor Ashok Midha, Larry L. Howell

Faculty Publications

When I received the news that Professor Ashok Midha had passed away, I was grieved by the unexpected news. But I also felt another emotion: gratitude for having known him. I am grateful for him, for the opportunity I had to learn from him, and for the influence he has had on my life and career. I wanted to honor his memory in some way. This document is in response to that desire.

Some of my thoughts at his passing are summarized in the first chapter and the conclusion. The other writing is taken from a draft of my personal …

A Pairing-Free Provable Secure And Efficient Identity-Based Identification Scheme With Anonymity, J. J. Chin, R. Kannan, V. T. Goh, S. C. Yip

School of Engineering, Computing and Mathematics

In this paper, we propose a Blind Identity-Based Identification (Blind IBI) scheme based on the Guillou-Quisquater (GQ) scheme. Our proposed scheme combines the benefits of traditional Identity-Based Identification (IBI) schemes that can authenticate a user’s identity without rely ing on a trusted third party with the Blind Signature (BS) scheme that provides anonymity. As a result, the proposed scheme assures absolute user privacy during the authentication process. It does not rely on a third party, yet the verifier can still be assured of the user’s identity with out the user actually revealing it. In our work, we show that the …

The Role Of Lis Professional In Open Educational Resources And Its Impact In Bangladesh, Dr. Md. Azizur Rahman, Sumitra Mitra Biswas, Dr. Subrata Biswas

Library Philosophy and Practice (e-journal)

Introduction- This study aims to explore of the role of LIS Professionals in open educational resources (OERs) and its impact on Bangladesh. In addition, there is a focus on raising awareness and improving open educational resources.

Purpose – The purpose of the study is to provide quantitative information on the growth and development of the LIS professionals in OER in Bangladesh. In addition, the focus is on raising awareness and improving open educational resources.

Research problem- The study is about acquiring data sources, facing huge problems related to field of LIS Professionals in OER in Bangladesh. LIS professionals in the …

Information Literacy In English-Language Higher Education Teaching Journals: A Review, Jennifer Masunaga, Lanyi Peng, Tiffanie Ford-Baxter, Kendall Faulkner

Communications in Information Literacy

Wider visibility of information literacy (IL) outside of the library and information science (LIS) field is important to the success of IL instruction, learning, and research. The development and major updates of several information literacy documents in the past decade evidence the changing landscape of IL research, but how these changes have impacted other disciplines remains to be seen. To aid in this discussion, this article examines a wide range of higher education teaching journals to expand on Badke's (2011) work, “Why Information Literacy is Invisible.” Specifically, this study examines articles published in 30 general higher education and 32 …

Quality Matters: Using A Peer-Review Process To Create A Cohesive Multi-Campus Library Online Instruction Program, Stephanie Jacobs, Maryellen Nash, Theresa Burress, Kaya Van Beynen

Communications in Information Literacy

Librarians within a newly combined, multi-campus research and instruction department undertook a large-scale peer review of their online instruction program and materials. This collaborative assessment project sought to unite three library departments with a cohesive vision for self-guided online library instruction while establishing consistent quality standards and building a shared sense of ownership and accomplishment. These goals were achieved through a collaborative assessment of online instructional modules that included the development of a novel rubric based on the Quality Matters Course Design Standards. This article reports on that ongoing journey, as well as the goals, challenges, and outcomes of the …

Race: An Efficient Redundancy-Aware Accelerator For Dynamic Graph Neural Network, Hui Yu, Yu Zhang, Jin Zhao, Yujian Liao, Zhiying Huang, Donghao He, Lin Gu, Hai Jin, Xiaofei Liao, Haikun Liu, Bingsheng He, Jianhui Yue

Michigan Tech Publications

Dynamic Graph Neural Network (DGNN) has recently attracted a significant amount of research attention from various domains, because most real-world graphs are inherently dynamic. Despite many research efforts, for DGNN, existing hardware/software solutions still suffer significantly from redundant computation and memory access overhead, because they need to irregularly access and recompute all graph data of each graph snapshot. To address these issues, we propose an efficient redundancy-aware accelerator, RACE, which enables energy-efficient execution of DGNN models. Specifically, we propose a redundancy-aware incremental execution approach into the accelerator design for DGNN to instantly achieve the output features of the latest graph …

Multilayer Perceptron Modeling For Social Dysfunction Prediction Based On General Health Factors In An Iranian Women Sample, Sajjad Bagheri, Sarvenaz Taridashti, Hojjatollah Farahani, Peter Watson, Elham Rezvani

Department of Psychology Faculty Scholarship and Creative Works

In the year 2022, this research conducted an in-person study involving 780 single or widowed women, aged between 20 and 70, falling within the bottom three economic deciles and possessing varying levels of education. All participants held educational qualifications below a high school diploma and were beneficiaries of charitable financial support in Khorasan province, Iran. The study aimed to investigate the predictive factors of social dysfunction in this specific demographic. Data collection spanned a 12-month period throughout 2022, with participants completing the GHQ-28 questionnaire during their visits to the charity office. Clinical in-person interviews were also conducted to gather comprehensive …

Improved Image Recognition Via Synthetic Plants Using 3d Modelling With Stochastic Variations, Chris C. Napier, David M. Cook, Leisa Armstrong, Dean Diepeveen

Research outputs 2022 to 2026

This research extends previous plant modelling using L-systems by means of a novel arrangement comprising synthetic plants and a refined global wheat dataset in combination with a synthetic inference application. The study demonstrates an application with direct recognition of real plant stereotypes, and augmentation via a plant-wide stochastic growth variation structure. The study showed that the automatic annotation and counting of wheat heads using the Global Wheat dataset images provides a time and cost saving over traditional manual approaches and neural networks. This study introduces a novel synthetic inference application using a plant-wide stochastic variation system, resulting in improved structural …

Culturally Conscious Calculations: The Crucial Need For Cultural Competence In Elementary Mathematics, Rania Saba

Graduate Student and Postdoctoral Fellow Symposium

No abstract provided.

Stem's Missing Women: Why Biology's Undergraduate Pipeline Is Diverging From Career Paths, Rosemary Roberto

Graduate Student and Postdoctoral Fellow Symposium

No abstract provided.

Magnetic Field’S Effect On Two-Phase Flow Of Jeffrey And Non-Jeffrey Fluid With Partial Slip And Heat Transfer In An Inclined Medium, Sunday Lot, Waheed Oluwafemi Lawal, Adedapo Chris Loyinmi

Al-Bahir

In this paper, the effect of magnetic field on two –phase flow of Jeffrey and non-Jeffrey fluids in an inclined medium is investigated. The flow in both medium is assumed to be set in motion by constant pressure gradient. The electrical conductivity in the non-Jeffrey fluid in phase I is considered to be zero, so that the constant magnetic field strength Bo in the transverse direction only affects the Jeffrey fluid in phase II. The equations governed the flow of the fluid were solved using perturbation method. The effect of magnetic field, Jeffrey and thermal slip parameters on the temperature …

Movie Recommendation System Using Content Based Filtering, Sribhashyam Rakesh

Al-Bahir

The movie recommendation system plays a crucial role in assisting movie enthusiasts in finding movies that match their interests, saving them from the overwhelming task of sifting through countless options. In this paper, we present a content-grounded movie recommendation system that leverages an attribute-based approach to offer personalized movie suggestions to users. The proposed method focuses on attributes such as cast, keywords, crew, and genres of movies to predict users' preferences accurately. Through extensive evaluation, our content-grounded recommendation system demonstrated significant improvements in performance compared to conventional methods. The precision and recall scores increased by an average of 20% and …

Reducing Scour Hole Dimensions Around Bridge Circular Piers Using Hexagonal Collars, Heba Kassem, El-Masry A. A, Reda Diab

Mansoura Engineering Journal

Bridge failure, due to local scour at bridge circular pier foundations, has become a critical issue in river and bridge engineering, which might lead to transportation disruption, loss of lives and economic problems. Based on an experimental perspective, this study is focused on the influence of collar’s shape on decreasing scour depth at bridge piers that were explored. Hexagonal collars with three shapes were investigated (sloped, sloped with holes, and sloped with ribs). The collars were installed on the bed level with diameter equals to three times the diameter of pier. To achieve the results, experiments were performed in clear-water …

African American Students’ Academic And Web Programming Self-Efficacy, Learning Performance, And Perceptions Towards Computer Programming In Web Design Courses, Yu-Tung Kuo, Yu-Chun Kuo

College of Education Departmental Research

Computer programming has been included in computer literacy education in many countries in the last decade. This study examined the effects of gender and the prior programming experience of computer programming on academic and web programming self-efficacy and learning performance in the web design course among African American students, as well as their perceptions towards computer programming. This study’s 14-week web design course taught African American students multiple web programming languages, including HTML, CSS, and JavaScript, in order. A one-group pretest–posttest design was adopted in the experiment. The quantitative method was primarily used in data analysis. This study revealed that …

Mastery Learning: Second Chances, Instructor Workload, And Student Confidence, Judith Puncochar

Conference Presentations

No abstract provided.

Tikaram And Chandrakala Dhananjaya: A Collaborative Couple In Mathematics From Nepal, Deepak Basyal, Brigitte Stenhouse

Mathematics and Statistics

Within the history of mathematics and mathematics education in Nepal, Tikaram and Chandrakala Dhananjaya are relatively well-known figures for their two books Śiśubodha Taraṅgiṇī and Līlāvatī. This is despite there being almost no archival or manuscript materials offering a window into their lives: we have no letters, notebooks, diaries, or school records. Rather than focusing on either individual in isolation, in this article we present an argument for considering the Dhananjayas as an analytically indivisible collaborative couple in mathematics. Of the two aforementioned books, one is attributed to Chandrakala and the other to Tikaram; but in fact, both are translations …

Sustained Beneficial Infections: Priority Effects, Competition, And Specialization Drive Patterns Of Association In Intracellular Mutualisms, Malcolm Hill, Barry Lawson, John W. Cain, Nasheya Rahman, Shiv Toolsidass, Tongyu Wang, Sara Geraghty, Eberardo Raymundo, April Hill

All Faculty Scholarship

Intracellular symbioses provide a useful system for exploring evolutionary and ecological forces that shape mutualistic partnerships. Within- and among-host competitiveness driven by different strategies that symbionts adopt as they transfer materials to the host across a sub-cellular membrane might explain patterns of host:symbiont association observed in natural systems. We tested the hypothesis that different translocation strategies employed by symbionts affect their ability to occupy host habitats using two distinct modeling approaches. The first involved constructing a deterministic, Lotka-Volterra-type model with two symbiont species competing for access to a single host. The model recovered expected behaviors of co-occupancy/coinfection as well as …

Ai Empire: Unraveling The Interlocking Systems Of Oppression In Generative Ai's Global Order, Jasmina Tacheva, Srividya Ramasubramanian

Media Studies - All Scholarship

As artificial intelligence (AI) continues to captivate the collective imagination through the latest generation of generative AI models such as DALL-E and ChatGPT, the dehumanizing and harmful features of the technology industry that have plagued it since its inception only seem to deepen and intensify. Far from a “glitch” or unintentional error, these endemic issues are a function of the interlocking systems of oppression upon which AI is built. Using the analytical framework of “Empire,” this paper demonstrates that we live not simply in the “age of AI” but in the age of AI Empire. Specifically, we show that …

The Gender Load: Case Assignment Differences In A University Counseling Center, Samantha Kristine Brumble Heder

Theses and Dissertations

Recent research has explored the unique case load of mental health professionals working in university counseling centers (UCCs) and is working to better understand therapist burnout. However, there is a gap in the literature surrounding therapist caseload composition and how this composition can impact the experience of therapists in UCCs. Specifically, more research is needed to understand how therapist caseloads might differ by gender identity of therapist. The current study explored this topic by looking at how therapist caseload varies by gender. Retrospective data gathered at a large western United States UCC from 2014 to 2021 was analyzed using Hierarchical …

Exploring The Job Market Before And After Covid-19, Abigail E. Hostman

Honors Capstones

The global job market has undergone profound changes in the aftermath of the COVID-19 pandemic. Specifically, three industries- education, healthcare, and manufacturing- experienced hardships. This study scrutinizes how each industry adapted to the disruptions, exploring the intricacies of remote work adoption, hiring struggles, and the evolution of job roles. Moreover, a thorough examination of diverse professions within these industries aims to identify the differential impacts experienced by various job categories, offering insights into the nuances of employment resilience and vulnerability. Due to the observed changes, the paper endeavors to provide actionable recommendations for each industry to strategically recover employment opportunities. …

Probing And Enhancing The Reliance Of Transformer Models On Poetic Information, Almas Abdibayev

Dartmouth College Ph.D Dissertations

Transformer models have achieved remarkable success in the widest variety of domains, spanning not just a multitude of tasks within natural language processing, but also those in computer vision, speech, and reinforcement learning. The key to this success is largely attributed to the self-attention mechanism, particularly its ability to scale in performance as it grows in the number of parameters. Extensive effort has been underway to study the major linguistic properties learned by these models during the course of their pretraining. However, the role of certain finer linguistic phenomena present in language and their utilization by Transformers has not been …

Stability Of Metal Fluoride Films When Irradiated With Electron Beam, Devin M. Lewis, Waseem Ashraf

Student Works

LiF is an essential mirror coating for the upcoming LUVOIR space telescope. In order to improve the technology readiness level of this material a study was to be conducted, observing the surface changes of LiF thin films as exposed to humidity for extended periods of time. However, initial attempts to characterize the film with SEM showed that LiF is unstable under all electron beam parameters experimented with. This creates the concern that LiF is also sensitive to other forms of radiation damage. Further investigation may suggest the need to transition to another mirror coating that is more resilient to radiation …

Whose Library Is It? A Youth Participatory Action Research Study Examining School Libraries As Culturally Sustaining Environments From The Students' Perspectives, Salamah Adjoua-Mullen

Theses & Dissertations

Traditionally, school libraries are assumed to be spaces of positivity and inclusion free from bias and discrimination. However, school libraries have not remained untouched by harmful school policies and state educational laws. Recently, new policies and laws have begun to restrict the role of librarians and library spaces are continuously being eliminated from school districts across the United Sates. One issue is the library profession has examined the library as a room but not the concept of what a library space is or can be. One approach to addressing this gap is by examining school libraries through the lens of …

Designing Secondary Level Physics Course’S Instruction Over Lms, Jimita Pokharel

Instructional Psychology and Technology Graduate Student Projects

This project aimed to revamp the science course delivery at a private school in the Tanahun district of Nepal, with a primary focus on transitioning from conventional in-person instruction to a blended learning model. The specific target was the 10th-grade physics curriculum, encompassing Units 1–4. The existing teaching methodology relied on paper-based materials and face-to-face lectures, lacking any online teaching or learning components. This transformation sought to address this gap, recognizing the increasing significance of online education in adapting to unforeseen challenges such as the COVID-19 pandemic and aligning with the advancements in the global educational landscape.

Deep Learning Uncertainty Quantification For Clinical Text Classification, Alina Peluso, Ioana Danciu, Hong-Jun Yoon, Jamaludin Mohd Yusof, Tanmoy Bhattacharya, Adam Spannaus, Noah Schaefferkoetter, Eric B. Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia D. Tourassi, Shang Gao

School of Public Health Faculty Publications

INTRODUCTION: Machine learning algorithms are expected to work side-by-side with humans in decision-making pipelines. Thus, the ability of classifiers to make reliable decisions is of paramount importance. Deep neural networks (DNNs) represent the state-of-the-art models to address real-world classification. Although the strength of activation in DNNs is often correlated with the network's confidence, in-depth analyses are needed to establish whether they are well calibrated. METHOD: In this paper, we demonstrate the use of DNN-based classification tools to benefit cancer registries by automating information extraction of disease at diagnosis and at surgery from electronic text pathology reports from the US National …