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Annual Report Of The Registrar 2023/2024, University Of Northern Iowa

Institutional Effectiveness & Planning Documents

Contents:

--- Definitions
--- Some Comparisons
--- Annual Report Data
--- Summary of Attendance
--- Attendance by Session
--- Full-Time Equivalency Enrollment
--- Degrees Granted 2023/24
--- Degree Summary 2023/24
--- Program Certificates 2023/24
--- Miscellaneous Enrollment Information
--- Degrees Granted by College, Degree and Racial/Ethnic Classification

Campus Leaders’ Support Of Culturally Responsive Classroom Management Strategies: Single Exploratory Case Study, Charmon L. Barksdale

Electronic Theses and Dissertations

Abstract This study addressed the growing concern regarding the disproportionate suspension rates experienced by African American students. The problem addressed in this study was the variation in leadership support for teachers implementing culturally responsive classroom management strategies to manage culturally diverse student behaviors. This is important to African American students' educational experiences within the learning environment. This exploratory single case study examined school leaders' and teachers' perspectives on the use of culturally responsive strategies to answer the research questions regarding the definition and descriptions of culturally responsive practices, participants' perspectives on the benefits and challenges of these practices, and the …

Uni Alumni Magazine, Issue 06, 2024, University Of Northern Iowa Alumni Association

UNI Alumni Magazine

Contents:

Strategic plan shapes UNI for Tomorrow --- 08
Degrees for Tomorrow --- 10
The End of an Era --- 12
A Hub for Civic Education --- 16
Equipping Our School Leaders for Challenging Times --- 18
20 Years of Sustainable Feedback --- 24
Ukranian Students Find a Home at UNI --- 26
Meeting Human Needs from Things that Grow --- 28
A Bolder, Brighter Tomorrow --- 30
Doing Well by Doing Good --- 32
Through the Eyes of Team TC/TK --- 42
The Panther Evolution --- 44
Celebrating 125 Seasons of Football --- 46
Celebrating 125 Seasons of Wrestling …

Blinded By The Light: Resolving The Conflict Between Satellite Megaconstellations And Astronomy, David A. Koplow

Vanderbilt Journal of Transnational Law

The sudden emergence of large constellations of small satellites in low altitude orbits represents one of the most dramatic contemporary innovations in outer space. Promising low-cost, low-latency global communications and spectacular capacities for remote sensing of the Earth, these satellites will soon number in the tens of thousands, sponsored by diverse corporations and countries around the world. But this proliferation of spacecraft comes at a steep cost in unavoidable interference with ground-based astronomy: as the satellites overfly the observatories, they block the views of remote objects and phenomena, leaving obliterating white streaks on the collected imagery, and obscuring access to …

Environmental Justice As Environmental Human Rights, John H. Knox, Nicole Tronolone

Vanderbilt Journal of Transnational Law

For many years, the environmental justice movement in the United States and the evolution of international human rights law concerning the environment have pursued parallel but separate paths, only occasionally noting that they share common concerns. This Article seeks to build a stronger bridge between them, in three ways.

First, it presents the most detailed restatement of environmental human rights law yet published. International human rights bodies have developed a robust environmental jurisprudence setting out concrete obligations on States, including procedural obligations to provide public access to environmental information, decision-making, and remedies, substantive obligations to adopt and enforce effective environmental …

Front Matter - Table Of Contents - Preface

Iowa Journal of Communication

No abstract provided.

Environmental Information Avoidance Motives On A U.S. Campus, Mary Beth Deline, Laura N. Rickard, Jared V. Worwood, Pei Geng, Elisabeth Reed

Iowa Journal of Communication

Although communication, broadly, is often identified as a key factor across campus sustainability initiatives, few studies have examined specific information behaviors that can affect reception of such efforts. We therefore seek to characterize motives for a key communication barrier to campus sustainability efforts: environmental information avoidance (IA), and to investigate whether these motives differ in relation to known or unknown information. This exploratory study thematically analyzed answers from an open-ended question on a questionnaire with faculty, staff and students on a U.S. university campus. We identified six environmental IA motives, ranging from information overload to efficacy constraints. Correlational analysis found …

How Influencer Marketers Inspire Trust: The Case Of Sadaf Beauty, Maryam Amini

Iowa Journal of Communication

This article presents a qualitative case study of Iranian beauty influencer Sadaf Masaeli (Sadaf Beauty), focusing on how she has cultivated her followers’ trust on her Instagram account. Sadaf was identified as the second most influential beauty influencer of 2019 in the world by Forbes magazine (Caludet, 2019). Her example provides insight into how influencer marketing has become a popular way to increase brand awareness, find new customers and enhance purchase intention. In particular, her case highlights the effects of a contradiction shaping influencer marketing. On the one hand, influencers appear as authentic social media users, to attract followers whilst, …

An Unconventional Etiquette: Emily Post And Etiquette In Society, In Business, In Politics, And At Home., Jillian Klean Zwilling

Iowa Journal of Communication

In 1922, Emily Post published, Etiquette in Society, In Business, In Politics and at Home, which became a national bestseller. While other etiquette manuals had been written up to that point, none has been so successful and enduring in the American consciousness as Post’s. In this article, I explore the rhetorical strategies Post employed in creating a text that follows the conventions of an etiquette manual but breaks the convention of exclusivity generally associated with etiquette texts. I argue Post was successful because of her uniquely American approach to etiquette. The success of Post’s text can be attributed to her …

A Chinese Power Text Classification Algorithm Based On Deep Active Learning, Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu

Computer Science Faculty Publications

The construction of knowledge graph is beneficial for grid production, electrical safety protection, fault diagnosis and traceability in an observable and controllable way. Highly-precision text classification algorithm is crucial to build a professional knowledge graph in power system. Unfortunately, there are a large number of poorly described and specialized texts in the power business system, and the amount of data containing valid labels in these texts is low. This will bring great challenges to improve the precision of text classification models. To offset the gap, we propose a classification algorithm for Chinese text in the power system based on deep …

Autonomous Strike Uavs For Counterterrorism Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

UAVs are becoming a crucial tool in modern warfare, primarily due to their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. The use of autonomous UAVs to conduct strike missions against highly valuable targets is the focus of this research. Due to developments in ledger technology, smart contracts, and machine learning, such activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of challenges and potential solutions for successful implementation of an autonomous UAV mission.

Mosaic: A Prune-And-Assemble Approach For Efficient Model Pruning In Privacy-Preserving Deep Learning, Yifei Cai, Qiao Zhang, Rui Ning, Chunsheng Xin, Hongyi Wu

Computer Science Faculty Publications

To enable common users to capitalize on the power of deep learning, Machine Learning as a Service (MLaaS) has been proposed in the literature, which opens powerful deep learning models of service providers to the public. To protect the data privacy of end users, as well as the model privacy of the server, several state-of-the-art privacy-preserving MLaaS frameworks have also been proposed. Nevertheless, despite the exquisite design of these frameworks to enhance computation efficiency, the computational cost remains expensive for practical applications. To improve the computation efficiency of deep learning (DL) models, model pruning has been adopted as a strategic …

Runtime Support For Cpu-Gpu High-Performance Computing On Distributed Memory Platforms, Polykarpos Thomadakis, Nikos Chrisochoides

Computer Science Faculty Publications

Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected to incorporate more specialized hardware. This shift in the computing ecosystem offers many opportunities for performance improvement; however, it also increases the complexity of programming for such architectures. This work introduces a runtime framework that enables effortless programming for heterogeneous systems while efficiently utilizing hardware resources. The framework is integrated within a distributed and scalable runtime system to facilitate performance portability across heterogeneous nodes. Along with the design, this paper describes the implementation and optimizations performed, …

You Shall Know A Forum By The Words They Keep: Analyzing Language Use In Accessibility Forums For Blind Users, Nithiya Venkatraman, Anand Aiyer, Yash Prakash, Vikas Ashok

Computer Science Faculty Publications

Discussion forums are one of the favored platforms for knowledge sharing. Given their popularity, copious research exists on understanding linguistic and behavioral characteristics of forum conversations. However, prior investigations have mainly focused on general forums designed primarily for sighted users, and as such the applicability of their findings to the dedicated accessibility discussion forums frequented by blind individuals remains unanswered. To bridge this knowledge gap, and facilitate the development of better-informed assistive technologies for blind people, we investigated language use and identified the key semantic and cognitive characteristics of online accessibility forums. To aid our investigation, we collected a dataset …

Flexible Fitting Of Alphafold2-Predicted Models To Cryo-Em Density Maps Using Elastic Network Models: A Methodological Affirmation, Maytha Alshammari, Jing He, Willy Wriggers

Computer Science Faculty Publications

Motivation: This study investigates the flexible refinement of AlphaFold2 models against corresponding cryo-electron microscopy (cryo-EM) maps using normal modes derived from elastic network models (ENMs) as basis functions for displacement. AlphaFold2 generally predicts highly accurate structures, but 18 of the 137 models of isolated chains exhibit a TM-score below 0.80. We achieved a significant improvement in four of these deviating structures and used them to systematically optimize the parameters of the ENM motion model.

Results: We successfully refined four AlphaFold2 models with notable discrepancies: lipid-preserved respiratory supercomplex (TM-score increased from 0.52 to 0.69), flagellar L-ring protein (TM-score increased from 0.53 …

Sccad: Cluster Decomposition-Based Anomaly Detection For Rare Cell Identification In Single-Cell Expression Data, Yunpei Xu, Shaokai Wang, Qilong Feng, Jiazhi Xia, Yaohang Li, Hong-Dong Li, Jianxin Wang

Computer Science Faculty Publications

Single-cell RNA sequencing (scRNA-seq) technologies have become essential tools for characterizing cellular landscapes within complex tissues. Large-scale single-cell transcriptomics holds great potential for identifying rare cell types critical to the pathogenesis of diseases and biological processes. Existing methods for identifying rare cell types often rely on one-time clustering using partial or global gene expression. However, these rare cell types may be overlooked during the clustering phase, posing challenges for their accurate identification. In this paper, we propose a Cluster decomposition-based Anomaly Detection method (scCAD), which iteratively decomposes clusters based on the most differential signals in each cluster to effectively separate …

Programs And Courses Catalog 2024-2025, University Of Northern Iowa

UNI Programs and Courses Catalogs

Contents:

Academic Calendar ... 5
General Information ... 7
The University and Its Programs ... 7
Academic Structure ... 9
Admission Requirements ... 16
Enrollment and Registration Procedures ... 21
Fees and Financial Aid ... 22
Student Life ... 28
University Facilities and Educational Services ... 33
The Fine and Performing Arts at UNI ... 39
Academic Regulations ... 44
Undergraduate Information and Degree Requirements ... 61
Graduate Information, Admission, Academic Regulations, and Degree Requirements ... 91
List of Programs by Department ... 120
Department of Accounting ... 127
Department of Applied Engineering & Technical Management ... 129
Department of …

Community Engagement Newsletter, January 2024, University Of Northern Iowa. Office Of Community Engagement.

Community Engagement Newsletter

Contents:

--- Calling all Service-Learning Courses for Designation
--- Engaged Scholars Initiative hosted by National Campus Compact
--- HUD + Higher Ed Engagement Network
--- Spring Volunteer Fair
--- Community Engagement Celebration Day
--- Certified Nonprofit Professional Credential (CNP)
--- UNI Engaged Podcast

Triphlapan: Predicting Hla Molecules Binding Peptides Based On Triple Coding Matrix And Transfer Learning, Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li

Computer Science Faculty Publications

Human leukocyte antigen (HLA) recognizes foreign threats and triggers immune responses by presenting peptides to T cells. Computationally modeling the binding patterns between peptide and HLA is very important for the development of tumor vaccines. However, it is still a big challenge to accurately predict HLA molecules binding peptides. In this paper, we develop a new model TripHLApan for predicting HLA molecules binding peptides by integrating triple coding matrix, BiGRU + Attention models, and transfer learning strategy. We have found the main interaction site regions between HLA molecules and peptides, as well as the correlation between HLA encoding and binding …

A-Disetrac Advanced Analytic Dashboard For Distributed Eye Tracking, Yasasi Abeysinghe, Bhanuka Mahanama, Gavindya Jayawardena, Yasith Jayawardena, Mohan Sunkara, Andrew T. Duchowski, Vikas Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Understanding how individuals focus and perform visual searches during collaborative tasks can help improve user engagement. Eye tracking measures provide informative cues for such understanding. This article presents A-DisETrac, an advanced analytic dashboard for distributed eye tracking. It uses off-the-shelf eye trackers to monitor multiple users in parallel, compute both traditional and advanced gaze measures in real-time, and display them on an interactive dashboard. Using two pilot studies, the system was evaluated in terms of user experience and utility, and compared with existing work. Moreover, the system was used to study how advanced gaze measures such as ambient-focal coefficient K …

Autonomous Strike Uavs In Support Of Homeland Security Missions: Challenges And Preliminary Solutions, Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

Computer Science Faculty Publications

Unmanned Aerial Vehicles (UAVs) are becoming crucial tools in modern homeland security applications, primarily because of their cost-effectiveness, risk reduction, and ability to perform a wider range of activities. This study focuses on the use of autonomous UAVs to conduct, as part of homeland security applications, strike missions against high-value terrorist targets. Owing to developments in ledger technology, smart contracts, and machine learning, activities formerly carried out by professionals or remotely flown UAVs are now feasible. Our study provides the first in-depth analysis of the challenges and preliminary solutions for the successful implementation of an autonomous UAV mission. Specifically, we …

Identifying New Cancer Genes Based On The Integration Of Annotated Gene Sets Via Hypergraph Neural Networks, Chao Deng, Hong-Dong Li, Li-Shen Zhang, Yiwei Liu, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Motivation

Identifying cancer genes remains a significant challenge in cancer genomics research. Annotated gene sets encode functional associations among multiple genes, and cancer genes have been shown to cluster in hallmark signaling pathways and biological processes. The knowledge of annotated gene sets is critical for discovering cancer genes but remains to be fully exploited.

Results

Here, we present the DIsease-Specific Hypergraph neural network (DISHyper), a hypergraph-based computational method that integrates the knowledge from multiple types of annotated gene sets to predict cancer genes. First, our benchmark results demonstrate that DISHyper outperforms the existing state-of-the-art methods and highlight the advantages of …

Can Large Language Models Discern Evidence For Scientific Hypotheses? Case Studies In The Social Sciences, Sai Koneru, Jian Wu, Sarah Rajtmajer

Computer Science Faculty Publications

Hypothesis formulation and testing are central to empirical research. A strong hypothesis is a best guess based on existing evidence and informed by a comprehensive view of relevant literature. However, with exponential increase in the number of scientific articles published annually, manual aggregation and synthesis of evidence related to a given hypothesis is a challenge. Our work explores the ability of current large language models (LLMs) to discern evidence in support or refute of specific hypotheses based on the text of scientific abstracts. We share a novel dataset for the task of scientific hypothesis evidencing using community-driven annotations of studies …

Hite: A Fast And Accurate Dynamic Boundary Adjustment Approach For Full-Length Transposable Element Detection And Annotation, Kang Hu, Peng Ning, Minghua Xu, You Zou, Jianye Chang, Xin Gao, Yaohang Li, Jue Ruan, Bin Hu, Jianxin Wang

Computer Science Faculty Publications

Recent advancements in genome assembly have greatly improved the prospects for comprehensive annotation of Transposable Elements (TEs). However, existing methods for TE annotation using genome assemblies suffer from limited accuracy and robustness, requiring extensive manual editing. In addition, the currently available gold-standard TE databases are not comprehensive, even for extensively studied species, highlighting the critical need for an automated TE detection method to supplement existing repositories. In this study, we introduce HiTE, a fast and accurate dynamic boundary adjustment approach designed to detect full-length TEs. The experimental results demonstrate that HiTE outperforms RepeatModeler2, the state-of-the-art tool, across various species. Furthermore, …

Enhancing Research Productivity: Seamless Integration Of Personal Devices And Hpc Resources With The Cybershuttle Notebook Gateway, Yasith Jayawardana, Dimuthu Wannipurage, Eroma Abeysinghe, Suresh Marru

Computer Science Faculty Publications

Scientists often utilize personal laptops and workstations for initial research stages and turn to high-performance computing (HPC) supercomputers for compute-intensive tasks. However, seamless transitions between these environments are vital for enhancing productivity and accelerating research progress. Our paper presents the Cybershuttle Notebook Gateway, an open-source framework crafted to streamline this transition, optimize resource utilization, and reduce time-to-science for researchers. Leveraging JupyterLab, the framework extends kernel mechanics for seamless provisioning and connection to remote HPC cluster kernels. We delve into its architecture, which separates user authentication, kernel provisioning, and remote file system access. Additionally, we highlight practical capabilities like analyzing network …

Developing A Framework For Personalized Video-Based Quantum Information Science Education, Nikos Chrisochoides, Norou Diawara, Michail Giannakos

Computer Science Faculty Publications

This is a white paper on Workforce Development for Quantum Information Sciences (QIS) led by the Center for Real-Time Computing at Old Dominion University (ODU). We plan to investigate the potential of video lectures in supporting QIS. Specifically, we focus on following four objectives: (a) design a two-course series for both Master-level and PhD students; b) an upgrade of Experimental Lecture System (ELeSy) to test new, innovative, and transformative approaches for inclusive QIS education; c) design and implementation of a mixed-method systematic empirical study on the effects of video learning styles (in-person flipped classroom and voluntary video use) on graduate …

Evaluating Social Media Reach Via Mainstream Media Discourse, Himarsha R. Jayanetti

Computer Science Faculty Publications

This study examines the intersection between social media and mainstream television (TV) news with an aim to understand how social media content amplifies its impact through TV broadcasts. While many studies emphasize social media as a primary platform for information dissemination, they often underestimate its total influence by focusing solely on interactions within the platform. This research examines instances where social media posts gain prominence on TV broadcasts, reaching new audiences and prompting public discourse. By using TV news closed captions, on-screen text recognition, and social media logo detection, we analyze how social media is referenced in TV news. Our …

Abortion And The Extremism Of Bright Line Rules, Teneille R. Brown

Utah Law Faculty Scholarship

Rather than eliding the workability or necessity of bright-line rules in certain domains, this Essay is a rallying cry for epistemic humility regarding what biological criteria can and cannot say. Policymakers sometimes lean on the biosciences to offer “objective” solutions to thorny
moral and legal issues. But descriptive biological data cannot answer normative questions on their own. Cloaking the theoretical, normative scaffolding in biological criteria is a disingenuous but common phenomenon I refer to as the “bio-legal mismatch.”

In this Essay, I discuss various abortion-restrictive statutes and cases to elucidate the problems with the bio-legal mismatch. Specifically, I explore the …

Addressing Unlawful Cyber Operations In Armed Conflict Through Human Rights Bodies Instead Of The International Criminal Court, Zachary R. Orr

Vanderbilt Journal of Transnational Law

Although the ICC-or other similarly-situated international criminal tribunals-could soon see the first cyber war crime prosecution, two glaring issues persist. First, the universe of conduct that could give rise to such a prosecution is limited. Second, heavy reliance on the war crimes framework fails to provide a forum for redress of many harms caused by other unlawful cyber operations in armed conflict. The fragmented nature of international law and its enforcement mechanisms requires solutions that harness the full range of the integrated architecture of the international system. Cyber operations might soon feature at the ICC, but only a fraction of …

Temporary Protection For Ukrainians In The European Union: Why Now And When Again?, Maryellen Fullerton

Vanderbilt Journal of Transnational Law

In 2022, the Russian invasion of Ukraine produced an unprecedented wave of temporary immigration protections throughout the European Union (EU). Within the first few months of the war in Ukraine, over 4 million displaced individuals had registered for temporary protection. EU States distant from Ukraine sheltered hundreds of thousands of displaced families, while Poland and other EU States that border Ukraine sheltered more than 2 million. This groundswell response marked a striking departure from just seven years earlier, when the EU Commission and EU Council failed to use readily available laws to provide a temporary protection program for Syrians displaced …