Digital Commons Network^™

Discovery Of A Lectin Domain That Regulates Enzyme Activity In Mouse N-Acetylglucosaminyltransferase-Iva (Mgat4a), Masamichi Nagae, Tetsuya Hirata, Hiroaki Tateno, Sushil K. Mishra

Faculty and Student Publications

N-Glycosylation is a common post-translational modification, and the number of GlcNAc branches in N-glycans impacts glycoprotein functions. N-Acetylglucosaminyltransferase-IVa (GnT-IVa, also designated as MGAT4A) forms a β1-4 GlcNAc branch on the α1-3 mannose arm in N-glycans. Downregulation or loss of GnT-IVa causes diabetic phenotypes by dysregulating glucose transporter-2 in pancreatic β-cells. Despite the physiological importance of GnT-IVa, its structure and catalytic mechanism are poorly understood. Here, we identify the lectin domain in mouse GnT-IVa’s C-terminal region. The crystal structure of the lectin domain shows structural similarity to a bacterial GlcNAc-binding lectin. Comprehensive glycan binding assay using 157 glycans and solution NMR …

Validated Determination Of Nrg1 Ig-Like Domain Structure By Mass Spectrometry Coupled With Computational Modeling, Niloofar Abolhasani Khaje, Alexander Eletsky, Sarah E. Biehn, Charles K. Mobley

Faculty and Student Publications

High resolution hydroxyl radical protein footprinting (HR-HRPF) is a mass spectrometry-based method that measures the solvent exposure of multiple amino acids in a single experiment, offering constraints for experimentally informed computational modeling. HR-HRPF-based modeling has previously been used to accurately model the structure of proteins of known structure, but the technique has never been used to determine the structure of a protein of unknown structure. Here, we present the use of HR-HRPF-based modeling to determine the structure of the Ig-like domain of NRG1, a protein with no close homolog of known structure. Independent determination of the protein structure by both …

Around The World In Two Days: Walt Disney's Epcot Center And The World's Fair Tradition, Annie Davis

Student Scholarship & Creative Works

This work views the performative and consumerist traditions of the World's Fair and how Walt Disney World's EPCOT Center was essentially created to exist as a "permanent World's Fair" in theme park form. From viewing the 1904 Louisiana Purchase Exposition in St. Louis and the 1964-1965 New York World's Fair alongside Epcot Center (1982) the similarities in the visitor experience are analyzed. Walt Disney's presence at the 1964-1965 New York World's Fair seems to work as testing grounds for ideas with lower stakes than presenting permanent attractions, some of which would later be moved to the parks. Epcot Center offered …

Foreign Object Debris Detection For Airport Pavement Images Based On Self-Supervised Localization And Vision Transformer, Travis Munyer, Daniel Brinkman, Xin Zhong, Chenyu Huang, Iason Konstantzos

Aviation Institute Faculty Proceedings & Presentations

Supervised object detection methods provide subpar performance when applied to Foreign Object Debris (FOD) detection because FOD could be arbitrary objects according to the Federal Aviation Administration (FAA) specification. Current supervised object detection algorithms require datasets that contain annotated examples of every to-be-detected object. While a large and expensive dataset could be developed to include common FOD examples, it is infeasible to collect all possible FOD examples in the dataset representation because of the open-ended nature of FOD. Limitations of the dataset could cause FOD detection systems driven by those supervised algorithms to miss certain FOD, which can become dangerous …

Muhlenberg Magic, Lehigh Valley Health Network

LVHN documents

No abstract provided.

Camelira: An Arabic Multi-Dialect Morphological Disambiguator, Ossama Obeid, Go Inoue, Nizar Habash

Computer Vision Faculty Publications

We present Camelira, a web-based Arabic multi-dialect morphological disambiguation tool that covers four major variants of Arabic: Modern Standard Arabic, Egyptian, Gulf, and Levantine. Camelira offers a user-friendly web interface that allows researchers and language learners to explore various linguistic information, such as part-of-speech, morphological features, and lemmas. Our system also provides an option to automatically choose an appropriate dialect-specific disambiguator based on the prediction of a dialect identification component. Camelira is publicly accessible at http://camelira.camel-lab.com.

Pasta: Table-Operations Aware Fact Verification Via Sentence-Table Cloze Pre-Training, Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du

Natural Language Processing Faculty Publications

Fact verification has attracted a lot of research attention recently, e.g., in journalism, marketing, and policymaking, as misinformation and disinformation online can sway one's opinion and affect one's actions. While fact-checking is a hard task in general, in many cases, false statements can be easily debunked based on analytics over tables with reliable information. Hence, table-based fact verification has recently emerged as an important and growing research area. Yet, progress has been limited due to the lack of datasets that can be used to pre-train language models (LMs) to be aware of common table operations, such as aggregating a column …

Asdot: Any-Shot Data-To-Text Generation With Pretrained Language Models, Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, Zhiting Hu

Machine Learning Faculty Publications

Data-to-text generation is challenging due to the great variety of the input data in terms of domains (e.g., finance vs sports) or schemata (e.g., diverse predicates). Recent end-to-end neural methods thus require substantial training examples to learn to disambiguate and describe the data. Yet, real-world data-to-text problems often suffer from various data-scarce issues: one may have access to only a handful of or no training examples, and/or have to rely on examples in a different domain or schema. To fill this gap, we propose Any-Shot Data-to-Text (ASDOT), a new approach flexibly applicable to diverse settings by making efficient use of …

Zero-Defect Manufacturing Utilizing Autonomation In Aerospace, Quinton L. Marks, Abeni El-Amin Ph.D.

Management Faculty Publications

Multifunctional manufacturing processes are comprised of zero-defect manufacturing (ZDM), which is inherently a complex process because of the simultaneous operations needed to accomplish zero defects. The application of the ZDM philosophy, together with autonomation, presents significant challenges and opportunities for the implementation of new processes that contribute to innovative manufacturing production processes. An emphasis must be on developing fully integrated, operative solutions, employing many quality systems, digitization, data analytics, and industry standards such as AS9100, ISO 9001, and Advanced Product Quality Planning.

Minutes, December 2022, University Of Dayton. College Of Arts And Sciences

Documents of the College of Arts and Sciences Academic Affairs Committee

Minutes from organizational meeting for Academic Affairs Committee

Interview With Wendy Keller, Utah State University Special Collections & Archives

Utah State University COVID-19 Oral History Collection

No abstract provided.

Resel: N-Ary Relation Extraction From Scientific Text And Tables By Learning To Retrieve And Select, Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang

Machine Learning Faculty Publications

We study the problem of extracting N-ary relation tuples from scientific articles. This task is challenging because the target knowledge tuples can reside in multiple parts and modalities of the document. Our proposed method RESEL decomposes this task into a two-stage procedure that first retrieves the most relevant paragraph/table and then selects the target entity from the retrieved component. For the high-level retrieval stage, RESEL designs a simple and effective feature set, which captures multilevel lexical and semantic similarities between the query and components. For the low-level selection stage, RESEL designs a cross-modal entity correlation graph along with a multi-view …

Amp: Automatically Finding Model Parallel Strategies With Heterogeneity Awareness, Dacheng Li, Hongyi Wang, Eric Xing, Hao Zhang

Machine Learning Faculty Publications

Scaling up model sizes can lead to fundamentally new capabilities in many machine learning (ML) tasks. However, training big models requires strong distributed system expertise to carefully design model-parallel execution strategies that suit the model architectures and cluster setups. In this paper, we develop AMP, a framework that automatically derives such strategies. AMP identifies a valid space of model parallelism strategies and efficiently searches the space for high-performed strategies, by leveraging a cost model designed to capture the heterogeneity of the model and cluster specifications. Unlike existing methods, AMP is specifically tailored to support complex models composed of uneven layers …

Unpaired Image-To-Image Translation With Density Changing Regularization, Shaoan Xie, Qirong Ho, Kun Zhang

Machine Learning Faculty Publications

Unpaired image-to-image translation aims to translate an input image to another domain such that the output image looks like an image from another domain while important semantic information are preserved. Inferring the optimal mapping with unpaired data is impossible without making any assumptions. In this paper, we make a density changing assumption where image patches of high probability density should be mapped to patches of high probability density in another domain. Then we propose an efficient way to enforce this assumption: we train the flows as density estimators and penalize the variance of density changes. Despite its simplicity, our method …

On Pac Learning Halfspaces In Non-Interactive Local Privacy Model With Public Unlabeled Data, Jinyan Su, Jinhui Xu, Di Wang

Machine Learning Faculty Publications

In this paper, we study the problem of PAC learning halfspaces in the non-interactive local differential privacy model (NLDP). To breach the barrier of exponential sample complexity, previous results studied a relaxed setting where the server has access to some additional public but unlabeled data. We continue in this direction. Specifically, we consider the problem under the standard setting instead of the large margin setting studied before. Under different mild assumptions on the underlying data distribution, we propose two approaches that are based on the Massart noise model and self-supervised learning and show that it is possible to achieve sample …

Help Or Hindrance: How Social Media Affects The Selection And Hiring Processes Of Businesses, Alexandra Krska

Management Undergraduate Honors Theses

Continually, young people have been advised to be conscientious of the imagery they put on social media regarding their personal lives in preparation for employment selection. However, the use of social media in the selection process may cause Human Resource professionals to have inadvertent biases toward candidates among other moral and ethical issues. Through extensive research of the thoughts and actions of a plethora of different corporate professionals, I will analyze whether using social media as a tool in the selection process authentically produces positive unbiased results, or whether social media poses more ethical issues. With the hopes to create …

Interview With Mike Legaspi, Andrea Generalao

Immigrant Leaders

An interview with Mike Legaspi, an immigrant leader from Migrante. The interview covers life before immigrating, arrival and integration, and political participation.

A Cybersecurity Assessment Of Health Data Ecosystems, Michelle N. Halsey

Cyber Operations and Resilience Program Graduate Projects

This paper is an exploratory study that investigates data collected and used by health plans and reviews the laws and regulations governing this data to identify the gaps in protections and provide recommendations for eliminating these gaps. Health insurance companies collect a wide array of data about the people they insure, data that is often only peripherally relevant to the service these companies provide. The data environment currently consists of seven categories of data: personal health information, summary health information, personally identifiable information, financial information, professional information, biometric information, and lifestyle data or social indicators of health. Much of this …

Teacher Perceptions Of Tier 2 Reading Interventions, Marlena Robinson

Dissertations (2016-Present)

Many students in schools in the United States today are considered at-risk in their reading ability. The disproportionate number of students making inadequate progress places the fate of students at stake. Response to Intervention (RTI) was created to support student growth in reading while reducing the number of students requiring testing for disabilities. This study aims to examine teacher perceptions of RTI reading interventions. Specifically, this study will be concerned with the effects of Tier 2 reading interventions by examining their perceptions of professional development, data and progress monitoring, resources, and support surrounding reading interventions. While an extensive body of …

Self-Efficacy Perceptions Of Middle School Reading Teachers In Majority Minority Inclusive Classrooms On Their Ability To Achieve Students Success., Debra Jean Lewis

Dissertations (2016-Present)

According to the U.S. Department of Education National Center for Education Statistics (NCES, 2022), the number of students who require special accommodations in the classroom continues to increase. Because studies have shown that positive outcomes for students are directly linked to the self-efficacy of educators (Lotter et al., 2018; Neugebauer et al., 2019), educators who serve these populations must possess high levels of positive self-efficacy to handle the challenges associated with inclusive settings and specialized skills needed to achieve student success. The purpose of this study, which was guided and supported by the Social Cognitive Theory (Bandura, 1986), was to …

Experimental Identification Of Aminomethanol (Nh2ch2oh)—The Key Intermediate In The Strecker Synthesis, Santosh K. Singh, Cheng Zhu, Jesse La Jeunesse, Ryan C. Fortenberry, Ralf I. Kaiser

Faculty and Student Publications

The Strecker Synthesis of (a)chiral α-amino acids from simple organic compounds, such as ammonia (NH3), aldehydes (RCHO), and hydrogen cyanide (HCN) has been recognized as a viable route to amino acids on primordial earth. However, preparation and isolation of the simplest hemiaminal intermediate – the aminomethanol (NH2CH2OH)– formed in the Strecker Synthesis to even the simplest amino acid glycine (H2NCH2COOH) has been elusive. Here, we report the identification of aminomethanol prepared in low-temperature methylamine (CH3NH2) – oxygen (O2) ices upon exposure to energetic electrons. Isomer-selective photoionization time-of-flight mass spectrometry (PI-ReTOF-MS) facilitated the gas phase detection of aminomethanol during the temperature …

Shared Genomic Architectures Of Covid-19 And Antisocial Behavior, Charleen D. Adams, Jorim J. Tielbeek, Brian B. Boutwell

Faculty and Student Publications

Little is known about the genetics of norm violation and aggression in relation to coronavirus disease 2019 (COVID-19). To investigate this, we used summary statistics from genome-wide association studies and linkage disequilibrium score regression to calculate a matrix of genetic correlations (rgs) for antisocial behavior (ASB), COVID-19, and various health and behavioral traits. After false-discovery rate correction, ASB was genetically correlated with COVID-19 (rg = 0.51; P = 1.54E-02) and 19 other traits. ASB and COVID-19 were both positively genetically correlated with having a noisy workplace, doing heavy manual labor, chronic obstructive pulmonary disease, and genitourinary diseases. ASB and COVID-19 …

Comparative Study Of Protrusive Record Accuracy With And Without George Gauge For Dentulous Cases, Aisha Z. Mostafa, Noha H. El-Shaheed

Mansoura Journal of Dentistry

Objective: This study aimed to evaluate the accuracy of the George gauge in protrusive records. Materials and Methods: This clinical trial includes a total of 12 dentulous subjects aged 20 to 40 years with no signs of muscular disease or temporomandibular joint disorders were chosen. For each patient, two different protrusive records were created, one with and one without the George gauge, using polyvinyl siloxane materials. The accuracy of these two protrusive records was evaluated by measuring the amount of midline shift in both records with a digital calliper. Then these Protrusive records were used to programme the articulator and …

Soft Metal Versus Laser Melting Metal Framework Used For Mandibular All On Four Implant Supported Fixed Complete Denture, Noha H. Rashed, Noha H. El Shaheed, Wael M. Said Ahmed, Salah A. Hegazy

Mansoura Journal of Dentistry

Objective: To radiographically evaluate the peri-implant bone height changes eri-implantin mandibular all on-four implant supported fixed complete denture (ISFCD) regarding metal framework fabrication technique either with milling from soft metal block or additive manufacturing using laser melting. Materials and Methods: Ten completely edentulous patients were rehabilitated with mandibular all on-four ISFCD. Computer-guided surgical procedures were followed for placement of implants. Patients were allocated randomly into two groups according to the framework fabrication technique. Group I frameworks were milled from soft metal block and group II frameworks were fabricated with additive manufacturing using laser melting. Vertical bone height changes around supporting …

Automs: Automatic Model Selection For Novelty Detection With Error Rate Control, Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou

Machine Learning Faculty Publications

Given an unsupervised novelty detection task on a new dataset, how can we automatically select a “best” detection model while simultaneously controlling the error rate of the best model? For novelty detection analysis, numerous detectors have been proposed to detect outliers on a new unseen dataset based on a score function trained on available clean data. However, due to the absence of labeled anomalous data for model evaluation and comparison, there is a lack of systematic approaches that are able to select the “best” model/detector (i.e., the algorithm as well as its hyperparameters) and achieve certain error rate control simultaneously. …

Staff Council Financial Statement December 2022, Staff Council

Staff Advisory Council Treasurer Reports

No abstract provided.

The Financials Of Water: The Case Of Maynilad And Manila Water, Junette A. Perez, Janrick Razon

Center for Business Research and Development

What is water? It is defined in the English Oxford Living Dictionaries as a colorless, transparent, odorless liquid that forms the seas, lakes, rivers, and rain and is the basis of the fluids of living organisms. The paper uses financial ratio analysis to examine the financial performance of the two dominant water and wastewater companies in Metro Manila. It attempts to appreciate how water and wastewater companies perform financially as they confront the complexities of operating an essential utility, water, and wastewater.

Classroom Climate, Culture, Parenting Skills, And Student Grit, Karen Ochoa

Dissertations

The education system has noted that student motivation and perseverance are lacking, yet the focus on standardized testing over the last decade has increased the rigor and expectations in the classroom. As such, educational researchers are always looking for new and inventive ways to enhance student achievement without increasing the financial burden on the schools. Grit is the non-cognitive skill that a person processes that enable them to work hard, endure, and persevere through challenging times. A person who exhibits grit often succeeds over those who have the cognitive ability but do not have grit. Children in countries with collectivist …

A Look At The Effectiveness Of High School Chemistry Curriculum In Preparing Students For Act, Shanna Nesser

Dissertations

In the ever-changing world, students are challenged with cultivating the skills and knowledge needed to handle the pace and level of understanding required to excel in their future. The foundation for a student's future begins in their formative years, but high school is a prime environment for nurturing the applied, critical thinking, and problem-solving skills needed to move forward into independent, adult life. Mississippi schools are ranked by an accountability score, which is used to determine fund allocation and the development of improvement plans. This score is compiled by looking at various state-tested courses, College and Career Readiness Standards (MS …

Social Class And Employability: Equalizing Perceived Competence And Warmth To Control Biased Decision-Making During Resumé Screening, Mindy Gambino

Dissertations

Implicit bias during the resumé screening process can adversely impact the ability of an organization to achieve a competitive advantage through human capital (Coff & Kryscynski, 2011). The purpose of this study was to determine if teaching resumé screeners how to control biased decision-making during resumé screening results in equal employability ratings for upper-middle and lower-middle-class applicants. The study used a quantitative, causal, quasi-experimental, single-group pretest-post-test design. The target population was people in the United States who screen resumés as part of their current job duties (Thomas, 2018). The researcher used Amazon Mechanical Turk (MTurk) to recruit participants.

Participants received …