Digital Commons Network^™

Increasing The Value Of Migration Data Through Collaboration: Twenty Years Of Monitoring By The Canadian Migration Monitoring Networks, Stuart A. Mackenzie

North American Bird Bander

No abstract provided.

¿Aviso O Alerta? Developing Effective, Inclusive, And Consistent Watch And Warning Translations For U.S. Spanish Speakers, Joseph E. Trujillo-Falcón, América R. Gaviria Pabón, Joseph T. Ripberger, Abby Bitterman, Jonathan B. Thornton, Mackenzie J. Krocak, Sean R. Ernst, Estilita Cassiani Obeso, John Lipski

National Oceanographic and Atmospheric Administration: Technical Reports and Related Materials

Spanish-speaking populations in the United States are more vulnerable in disaster contexts due to inequities, such as language barriers, that prevent them from receiving life-saving information. For the past couple of decades, governmental organizations have addressed these issues by translating weather watches, warnings, and advisories into Spanish. Previous studies suggest that these Spanish translations do not communicate the same level of urgency as their English counterparts. To identify whether these translated products result in inequities between English and Spanish speaker reception and comprehension of forecast information, we asked a representative sample of U.S. English (n = 1,550) and Spanish (n …

Gamifying Art History: On Employing An Escape Room To Facilitate Interest And Critical Thinking On Art Crime And Repatriation, J Baar

Open Initiatives Grant Teaching & Learning Projects-Archive

This report concludes an experiential learning project supported by UTA Libraries Open Initiative Grant program in fall 2022. The author developed and implemented an escape room based on art historical information, issues of cultural heritage loss and misuse, as well as looting and art crime. The escape room was open for two weeks at the end of the fall 2022 on the 2nd floor of the UTA Central Library. The report outlines the purpose and outcomes of this project, considering the possibilities of gamifying art history.

The Collective Right Endures: Pre-Heller Precedent And Our Understanding Of The Modern Second Amendment, William Reach

William & Mary Bill of Rights Journal

Prior to 2008, legal scholars who examined the Second Amendment fell roughly into two camps: those who believed “the right of the people to . . . bear arms” only covered state militias, and those who believed it extended to individual citizens.

After District of Columbia v. Heller conclusively established that the “Second Amendment conferred an individual right to keep and bear arms," discussion of the collective right to bear arms largely receded from public discussion and most litigation surrounding the Second Amendment shifted to define the outer edges of the individual right. But the pre-Heller showdown between these …

The King’S Final Journey: American Press Coverage Of King Kalākaua’S Last Visit To The United States, 1890–1891, Douglas V. Askman

Pacific Studies

King Kalākaua of Hawai‘i undertook several overseas trips during his reign. The last was to California in 1890. It was there that the king died in January 1891. This article explores American press coverage of Kalākaua’s last journey. It examines the enormous amount of attention that California newspapers paid to the king’s travels in the state with much of the reporting being extremely positive. This was similar to coverage of Kalākaua’s previous trips to the United States. Following the monarch’s death, papers across America reflected on his reign. This analysis, although not entirely complimentary, reflects the great success that Kalākaua …

Perceived Efficacy, Reduced Prescription Drug Use, And Minimal Side Effects Of Cannabis In Patients With Chronic Orthopedic Pain, Ari Greis, Eric Larsen, Conan Liu, Bryan Renslo, Anjithaa Radakrishnan, Adrianne R Wilson-Poe

Rothman Institute Papers

Introduction: Although cannabis is widely used for the treatment of chronic pain, most research relies on patient self-report and few studies have objectively quantified its efficacy and side effects. Extant inventories for measuring cannabis use were not designed to capture the medically relevant features of cannabis use, but rather were designed to detect problematic use or cannabis use disorder. Thus, we sought to capture the medically relevant features of cannabis use in a population of patients with orthopedic pain and pair these data with objective measures of pain and prescription drug use. Materials and Methods: In this prospective observational study, …

Influence Of The Virgin Mary In Anglo-Saxon Christianity, Kimberly Merfert

Honors Theses

Though it remains unclear when Christianity was first introduced to England, it is certain Christianity was established by the early third century. It was not until the beginning of the seventh century, however, that Christianity flourished in Anglo-Saxon England, bringing with it a new understanding of the feminine role. Once enthralled by the coming of Jesus Christ, worshippers of the Virgin Mary idealized the Mother of God as the realization of the ideals of purity, humility, and passivity. They defined Saint Mary by her sinlessness, valuing her unbreakable virginity as a symbol of unparalleled strength, responsibility, and holiness. Mary herself …

Sexual Harassment In An Overlooked Occupation: Experiences Of Cna And The Influence Of Nurses, Audrey Pennington

Honors Theses

The prevalence of sexual harassment (SH) in health care facilities has been documented in previous research, but few studies have focused on Certified Nursing assistants (CNA; Burgess et al., 2018; Dean, 2020; Deery et al., 2011; Hibino et al., 2006). The purpose of this study is to explore SH that CNA experience from their patients and what influence supervising nurses may have in impacting the negative outcomes of SH. Participants (N = 95) were recruited to take an online survey through social media and snowball recruiting. The hypotheses of this study were not supported by the data, but results may …

Understanding The Molecular Mechanism Of Ilv1 Stress Sensitivity In Yeast By Examination Of Differential Patterns Of Gene Expression Between Wild-Type And Ilv1 Knockout Strains Of Saccharomyces Cerevisiae, Emily Schuster

Honors Theses

As arguably the most widely used industrial eukaryote, Saccharomyces cerevisiae has become one of the many model organisms used to study molecular genetics. A recent unpublished study at the University of Tennessee - Chattanooga showed that yeast cells that had the ILV1 gene knocked out had reduced survivability under stress conditions. This study then focused on the role of ILV1 in the stress response of cells by measuring the expression levels of 11 candidate genes that are all involved in some critical pathway in the yeast to see how gene expression was influenced as a result of the loss of …

Examining The Intersections Of Art And Science Through Photomicrography, Lauren Marie Solomon

Honors Theses

This thesis explores the ways in which photomicrography is interdisciplinary, requiring the fields of both art and science. Three types of microscopy were used in this project, brightfield, epifluorescence, and confocality. The overall thesis is both, a body of artistic work and a narrative of my endeavor to understand the science and process behind photomicroscopy.

Governing, Managing, And Leading During The Covid-19 Crisis: A Case Study Of How A Community College Senior-Level Administrative Team Adapted A Holistic Student Supports Initiative In Response To The Pandemic, Michel A. Hodge

Education Doctoral

For over 100 years, community colleges have provided access to a college education that helps citizens become fuller participants in democracy. In response to the recent crisis of low rates of student retention and graduation, community college leaders have instituted holistic student supports strategies to improve student success. In March 2020, COVID-19 presented an additional challenge to community college retention and graduation rates, creating a second crisis to which community colleges had to adapt and respond. This qualitative research case study on leadership and crisis management shed light on the impacts of the COVID-19 crisis on a community college and …

Voices That Matter: Boston Area Residents Of Color Discuss Climate Change, Lorena M. Estrada-Martínez, Paul Watanabe, Katsyris Rivera-Kientz

Sustainable Solutions Lab

This report presents findings from a qualitative study conducted by the Sustainable Solutions Lab at the University of Massachusetts Boston, centering on the climate change perspectives of 70 residents of color from the Greater Boston area. Through focus group discussions with Asian American, Black, Latino/a, and Native American participants, the study examines three core areas: the health impacts of climate change, levels of community preparedness, and individual and governmental responses. The findings reveal a shared concern over climate-related health vulnerabilities, structural barriers to climate preparedness, and a general mistrust of governmental leadership stemming from historical and ongoing racial inequities. Participants …

Technology-Enhanced In Vivo Exposures In Prolonged Exposure For Ptsd: A Pilot Randomized Controlled Trial, Tanya C Saraiya, Amber M Jarnecke, Alex O Rothbaum, Bethany Wangelin, Lisa M Mcteague, Ron Acierno, Delisa G Brown, Emily Bristol, Hayley Feigl, Mclain Reese, Adam R Cobb, Bill Harley, Robert J Adams, Sudie E Back

Faculty, Staff and Student Publications

In vivo exposures (IVEs) are a key component of exposure-based treatments, during which patients approach fear-provoking, yet safe, situations in "real life." This pilot study assessed the use of a wearable technology (Bio Ware) during IVEs to enhance Prolonged Exposure (PE) therapy for PTSD. Bio Ware provides a clinician dashboard with real-time physiological and subjective data for clinicians to use for virtually guided IVEs. Participants (N = 40) were randomized to a Guided group that received standard PE and virtual, clinician-guided IVEs with the Bio Ware device, or a Non-Guided group that received standard PE and used the Bio Ware …

Cultivating Music Educators For Engaging In Varied Pedagogy Within An Increasingly Pluralistic Society, Maggie Brown

Honors Projects

As society continues to grow increasingly pluralistic, questions arise concerning how to better prepare preservice educators in teacher preparation programs. The purpose of this study was to determine the connections between P12 teachers’ training, experience, and what is being done in the classroom. Three participants were hand-selected for participation due to their proven track record employing varied curricular practice. The participants represented a varied range of areas of expertise and years of experience. After exploring the experiences of these three teachers, themes of (1) getting outside of one’s comfort zone, (2) engaging in musical amateurism, and (3) synergizing traditional and …

Optogenetic Heart Pacing And Heart Arrest In Drosophila Melanogaster Using Integrated Ocm Imaging And Light Stimulation System, Yuxuan Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Optogenetics has been widely applied to cardiovascular research using different models. Among them, Drosophila melanogaster (fruit fly) outstands for its similarity of human genes for disease modeling and short life cycle for rapid screening to analyze genetic mechanisms of heart disease. However, most of the current models only allow either activation or inhibition of the heartbeat, which is not sufficient to model complex arrhythmia. Our lab developed a novel Drosophila transgenic model based on a double transgenic line containing two light-sensitive genes, Channelrhodopsin-2 (ChR2) and Halorhodopsin2.0 (NpHR2.0), that enable dual-directional control of the heartbeat rhythm. Real-time optical control of the …

Lessons Learned: Hiroshi Nakaso, Mercedes Cardona, Hiroshi Nakaso

Documents

Recommended Citation Haggerty, Maryann (2022) "Lessons Learned: Hiroshi Nakaso," Journal of Financial Crises: Vol. 4 : Iss. 4, 626-629. Available at: https://elischolar.library.yale.edu/journal-of-financial-crises/vol4/iss4/33

Community As Safe Space For Survival: African American Women And The Great Migration In Gloria Naylor’S The Women Of Brewster Place, Ann Petry’S The Street, And Toni Morrison’S Jazz, Carmel Aisha Breed-Thomas

Theses (2016-Present)

Abstract This project closely examines the unique challenges African American women faced as migrants from the rural South to the urban North during the Great Migration and particularly how community and safe spaces were necessary for survival. This article will focus on the literary works of The Street by Ann Petry, The Women of Brewster Place by Gloria Naylor, and Jazz by Toni Morrison to specifically analyze the migrant stories of African American women. The Warmth of Other Suns by Isabel Wilkerson is used as a non-fiction anchor text to compare and contrast the fictitious accounts alongside the non-fiction accounts. …

How Developers Engineer Test Cases: An Observational Study, Maurício Aniche, Christoph Treude, Andy Zaidman

Research Collection School Of Computing and Information Systems

One of the main challenges that developers face when testing their systems lies in engineering test cases that are good enough to reveal bugs. And while our body of knowledge on software testing and automated test case generation is already quite significant, in practice, developers are still the ones responsible for engineering test cases manually. Therefore, understanding the developers’ thought- and decision-making processes while engineering test cases is a fundamental step in making developers better at testing software. In this paper, we observe 13 developers thinking-aloud while testing different real-world open-source methods, and use these observations to explain how developers …

Coresets For Vertical Federated Learning: Regularized Linear Regression And K-Means Clustering, Lingxiao Huang, Zhize Li, Jialin Sun, Haoyu Zhao

Research Collection School Of Computing and Information Systems

Vertical federated learning (VFL), where data features are stored in multiple parties distributively, is an important area in machine learning. However, the communication complexity for VFL is typically very high. In this paper, we propose a unified framework by constructing coresets in a distributed fashion for communication-efficient VFL. We study two important learning tasks in the VFL setting: regularized linear regression and $k$-means clustering, and apply our coreset framework to both problems. We theoretically show that using coresets can drastically alleviate the communication complexity, while nearly maintain the solution quality. Numerical experiments are conducted to corroborate our theoretical findings.

Make Your Own Sprites: Aliasing-Aware And Cell-Controllable Pixelization, Zongwei Wu, Liangyu Chai, Nanxuan Zhao, Bailin Deng, Yongtuo Liu, Qiang Wen, Junle Wang, Shengfeng He

Research Collection School Of Computing and Information Systems

Pixel art is a unique art style with the appearance of low resolution images. In this paper, we propose a data-driven pixelization method that can produce sharp and crisp cell effects with controllable cell sizes. Our approach overcomes the limitation of existing learning-based methods in cell size control by introducing a reference pixel art to explicitly regularize the cell structure. In particular, the cell structure features of the reference pixel art are used as an auxiliary input for the pixelization process, and for measuring the style similarity between the generated result and the reference pixel art. Furthermore, we disentangle the …

In The Driver’S Seat: A Practice-Based Inquiry Into The Compositional Role Of Electric Guitar Distortion In Heavy Metal Music, Timothy Hacquoil

Postgraduate

This exegesis presents the findings of a practice-based research inquiry into the compositional role of electric guitar distortion in heavy metal music. Practice-based research places the practitioner-observer in a position to engage with knowledge and scope the ontological framework within my methods of practice. In response to the research question, I have produced ten original heavy metal compositions which provide evidence of a connection between distortion method and composition influence such as genre classification and instrument playability. The narrow scope of investigation facilitates observation of this composition-distortion relationship which is supported by audio visualisation tools and contributes to research in …

Question-Attentive Review-Level Recommendation Explanation, Trung Hoang Le, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Recommendation explanations help to improve their acceptance by end users. The form of explanation of interest here is presenting an existing review of the recommended item. The challenge is in selecting a suitable review, which is customarily addressed by assessing the relative importance of each review to the recommendation objective. Our focus is on improving review-level explanation by leveraging additional information in the form of questions and answers (QA). The proposed framework employs QA in an attention mechanism that aligns reviews to various QAs of an item and assesses their contribution jointly to the recommendation objective. The benefits are two-fold. …

Learning Dynamic Multimodal Implicit And Explicit Networks For Multiple Financial Tasks, Meng Kiat Gary Ang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Many financial f orecasting d eep l earning w orks focus on the single task of predicting stock returns for trading with unimodal numerical inputs. Investment and risk management however involves multiple financial t asks - f orecasts o f expected returns, risks and correlations of multiple stocks in portfolios, as well as important events affecting different stocks - to support decision making. Moreover, stock returns are influenced by large volumes of non-stationary time-series information from a variety of modalities and the propagation of such information across inter-company relationship networks. Such networks could be explicit - observed co-occurrences in online …

Towards Reinterpreting Neural Topic Models Via Composite Activations, Jia Peng Lim, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Most Neural Topic Models (NTM) use a variational auto-encoder framework producing K topics limited to the size of the encoder’s output. These topics are interpreted through the selection of the top activated words via the weights or reconstructed vector of the decoder that are directly connected to each neuron. In this paper, we present a model-free two-stage process to reinterpret NTM and derive further insights on the state of the trained model. Firstly, building on the original information from a trained NTM, we generate a pool of potential candidate “composite topics” by exploiting possible co-occurrences within the original set of …

Biasfinder: Metamorphic Test Generation To Uncover Bias For Sentiment Analysis Systems, Muhammad Hilmi Asyrofi, Zhou Yang, Imam Nur Bani Yusuf, Hong Jin Kang, Thung Ferdian, David Lo

Research Collection School Of Computing and Information Systems

Artificial intelligence systems, such as Sentiment Analysis (SA) systems, typically learn from large amounts of data that may reflect human bias. Consequently, such systems may exhibit unintended demographic bias against specific characteristics (e.g., gender, occupation, country-of-origin, etc.). Such bias manifests in an SA system when it predicts different sentiments for similar texts that differ only in the characteristic of individuals described. To automatically uncover bias in SA systems, this paper presents BiasFinder, an approach that can discover biased predictions in SA systems via metamorphic testing. A key feature of BiasFinder is the automatic curation of suitable templates from any given …

Deep Just-In-Time Defect Localization, Fangcheng Qiu, Zhipeng Gao, Xin Xia, David Lo, John Grundy, Xinyu Wang

Research Collection School Of Computing and Information Systems

During software development and maintenance, defect localization is an essential part of software quality assurance. Even though different techniques have been proposed for defect localization, i.e., information retrieval (IR)-based techniques and spectrum-based techniques, they can only work after the defect has been exposed, which can be too late and costly to adapt to the newly introduced bugs in the daily development. There are also many JIT defect prediction tools that have been proposed to predict the buggy commit. But these tools do not locate the suspicious buggy positions in the buggy commit. To assist developers to detect bugs in time …

A Recommendation On How To Teach K-Means In Introductory Analytics Courses, Manoj Thulasidas

Research Collection School Of Computing and Information Systems

We teach K-Means clustering in introductory data analytics courses because it is one of the simplest and most widely used unsupervised machine learning algorithms. However, one drawback of this algorithm is that it does not offer a clear method to determine the appropriate number of clusters; it does not have a built-in mechanism for K selection. What is usually taught as the solution for the K Selection problem is the so-called elbow method, where we look at the incremental changes in some quality metric (usually, the sum of squared errors, SSE), trying to find a sudden change. In addition to …

Curiosity-Driven And Victim-Aware Adversarial Policies, Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan

Research Collection School Of Computing and Information Systems

Recent years have witnessed great potential in applying Deep Reinforcement Learning (DRL) in various challenging applications, such as autonomous driving, nuclear fusion control, complex game playing, etc. However, recently researchers have revealed that deep reinforcement learning models are vulnerable to adversarial attacks: malicious attackers can train adversarial policies to tamper with the observations of a well-trained victim agent, the latter of which fails dramatically when faced with such an attack. Understanding and improving the adversarial robustness of deep reinforcement learning is of great importance in enhancing the quality and reliability of a wide range of DRL-enabled systems. In this paper, …

A Unified Dialogue User Simulator For Few-Shot Data Augmentation, Dazhen Wan, Zheng Zhang, Qi Zhu, Lizi Liao, Minlie Huang

Research Collection School Of Computing and Information Systems

Pre-trained language models have shown superior performance in task-oriented dialogues. However, existing datasets are on limited scales, which cannot support large-scale pre-training. Fortunately, various data augmentation methods have been developed to augment largescale task-oriented dialogue corpora. However, they heavily rely on annotated data in the target domain, which require a tremendous amount of data collection and human labeling work. In this paper, we build a unified dialogue user simulation model by pre-training on several publicly available datasets. The model can then be tuned on a target domain with fewshot data. The experiments on a target dataset across multiple domains show …

Understanding Sentiment Through Context, Richard M.Crowley, M.H. Franco Wong

Research Collection School Of Accountancy

We examine whether empirical results using text-based sentiment of U.S. annual reports depend on the underlying context, within documents, from which sentiment is measured. We construct a clause-level measure of context, showing that sentiment is driven by many different contexts and that positive and negative sentiment are driven by different contexts. We then construct context-level sentiment measures and examine whether sentiment works as expected at the context-level across four prediction problems. Our results demonstrate that document-level sentiment exhibits significant noise in prediction and suggest that document-level aggregation of sentiment leads to missed empirical nuances. The contexts driving sentiment results vary …