Digital Commons Network^™

Ceo Characteristics And Compensation In Fortune 100 Companies, Adam C. Carroll

Theses & Dissertations

The existing literature on CEO compensation places heavy emphasis on the interrelationships between educational background and personal experiences of a CEO and how it affects a firm’s performance and, in-turn, how the firm’s performance impacts the CEO compensation. However, there is sparse research on the direct impact that socio-demographic factors and other variables have on CEO compensation. This dissertation’s aim is to identify if socio-demographic factors play a role in how a firm compensates its CEOs by using information gathered from the CEOs of the top Fortune 100 companies.

Given the non-random and limited sample, the primary research methods in …

Final Master's Portfolio, Marisa Mount

Master of Arts in English Plan II Graduate Projects

The following portfolio project contains four separate pieces of writing produced during the author's MA coursework.

Rad51-Mediated Interhomolog Recombination During Budding Yeast Meiosis Is Promoted By The Meiotic Recombination Checkpoint And The Conserved Pif1 Helicase, Andrew Ziesel, Qixuan Weng, Jasvinder S. Ahuja, Abhishek Bhattacharya, Raunak Dutta, Evan Cheng, G. Valentin Borner Ph.D., Michael Lichten, Nancy M. Hollingsworth

Biological, Geological, and Environmental Faculty Publications

During meiosis, recombination between homologous chromosomes (homologs) generates crossovers that promote proper segregation at the first meiotic division. Recombination is initiated by Spo11-catalyzed DNA double strand breaks (DSBs). 5' end resection of the DSBs creates 3' single strand tails that two recombinases, Rad51 and Dmc1, bind to form presynaptic filaments that search for homology, mediate strand invasion and generate displacement loops (D-loops). D-loop processing then forms crossover and noncrossover recombinants. Meiotic recombination occurs in two temporally distinct phases. During Phase 1, Rad51 is inhibited and Dmc1 mediates the interhomolog recombination that promotes homolog synapsis. In Phase 2, Rad51 becomes active …

Singapore Management University Report To Stakeholders 2021/2022, Singapore Management University

Report to Stakeholders

The title of the annual report, “Our Evolving Garden”, points to how the University continues to develop and progress as “One SMU”. With the world now learning to live with COVID-19 as endemic, the last year has been one in which SMU students have been able to resume many of the activities that contribute towards providing a transformative education. For example, they were able to attend many more events on campus and to travel overseas for internships, exchanges, and community service projects. Faculty too were able to attend academic conferences and meet with educational partners, business connections and research associates …

Mars 2100: A Microcosm Of Ecocentric Design, Andrea Hoe

Architecture Thesis Prep

In the dystopian future of 2100, Earth becomes a dying planet and humanity is forced to continue colonizing the solar system for survival. Mars develops as a colonized planet, exploited for its natural resources and potential. The hierarchical system of power seen constantly throughout Earth’s history was inescapable, and poor conditions turned to extremes. As billionaires take control of the space race, the capitalist system reflected in past company towns was implemented, making the moral questions and lines blurred.

When the system is eventually ruptured, ecosystemic living is proposed. Living is now centered around health and mindfulness, creating a system …

Eternal Imprint: Two Libraries Linked In Time, Jaifer Sultan

Architecture Thesis Prep

The thesis is an exploration of the symbolic relationship between Earth and the Moon through the conceptualization of two libraries, one on Earth and one on the Moon, are to be formally expressed through a mitosis-like interdependency, where both libraries are in constant architectural dialogue with each other despite their separation which occurred some time ago.

The thesis positions itself in the architectural discourse through the rigorous stud and analysis of the library typology throughout history, to both symbolize meaning and ritualize one's experience of acquiring knowledge. This understanding of the library typology will be tackled through the cataloging of …

Unmanned Aerial Vehicle Based Tree Canopy Characteristics Measurement For Precision Spray Applications, Md Sultan Mahmud, Long He, Paul Heinemann, Daeun Choi, Heping Zhu

Agricultural and Environmental Sciences Faculty Research

The critical components for applying the correct amount of agrochemicals are fruit tree characteristics such as canopy height, canopy volume, and canopy coverage. An unmanned aerial vehicle (UAV)-based tree canopy characteristics measurement system was developed using image processing approaches. The UAV captured images using a high-resolution red-green-blue (RGB) camera. A digital surface model (DSM) and a digital terrain model (DTM) were generated from the captured images. A tree canopy height map was generated from the subtraction of DSM and DTM. A total of 24 apple trees were randomly targeted to measure the canopy characteristics. Region of interest (ROI) was generated …

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 …