Digital Commons Network^™

The Diversity Of Norm Psychologies: A Challenge For The Law, Paul Sheldon Davies

William & Mary Law Review

Can we craft a coherent set of laws applicable to populations with deep cultural diversity? The full force of this question—call it the generalization challenge—has emerged recently thanks to advances in the sciences of the human, especially theories of neuroscience and psychology framed by theories of biological and especially cultural evolution. The goal of this Article is to describe enough of those advances to make clear the force of the challenge. The motivation is simple: as we endeavor to imagine the future of law in light of discoveries in neuroscience and related disciplines, being apprised of the generalization challenge may …

Reliability And Validity Study Of The Translated Arabic Version Of Moorehead-Ardelt Quality Of Life Questionnaire Ii, Saud Aldeghaither, Mohammed Alnaami, Abdullah Aldohayan, Fahad Bamehriz, Sarah Alhaizan, Mohammed Aldeghaither, Abdullah Almunifi

Saudi Medical Journal

ABSTRACT Objectives: To generate a translated Arabic adaptation of the revised Moorehead-Ardelt Quality of Life Questionnaire II (MA-II), then to assess its reliability and validity. Methods: The MA-II was translated to Arabic by 3 independent translators. Next, a concise translation, developed from the 3 translations, was re-translated to English and was compared with the original questionnaire. Both the reliability and the validity of the Arabic MA-II were assessed in 144 patients struggling with obesity before and after bariatric procedures at Khalid University Hospital, Riyadh, Saudi Arabia. Apart from the demographic data, both the MA-II and the 36-item short-form health survey …

Assessing Pre-Literacy Behaviors In Infants And Toddlers: Psychometric Evaluation Of The Infant Toddler Literacy Assessment (Itla-3), Barbara J. Jackson, Christine Marvin, Amy J. Encinger, Nicole Buchholz, Becky Zessin

Department of Special Education and Communication Disorders: Faculty Publications

Assessment of emerging literacy in young children is generally limited to either skill development in children over 3 years of age or the quality and context of young children’s early literacy experiences. Although there has been promotion of their early literacy experiences, assessment of emerging pre-literacy behaviors in children younger than 3 years has yet to be organized into a single tool.

Preliminary work on the Infant Toddler Literacy Assessment (ITLA) has progressed through initial steps of scale development and shown promise as a criterionbased, standardized assessment for tracking children’s pre-literacy behaviors and guiding practitioners in supporting development of those …

Serious Notice: A Celebration, Discussion, And Recognition Of Joel Reidenberg’S Work On Privacy Notices And Disclosures, Tal Z. Zarsky

Fordham Law Review

This Essay pays tribute to Professor Joel Reidenberg’s rich academic career and, specifically, to his contributions to the study of privacy policies. In doing so, this Essay takes a close look at privacy policies and possible ways to effectively intermediate their content through various labeling schemes. While severely flawed, privacy policies are here to stay. Therefore, an in-depth analysis of ways to enhance their efficiency is merited. This Essay thus examines key strategies for privacy-related intermediation, obstacles, and problems arising in the process, as well as possible solutions. The analysis weaves together theoretical and empirical privacy law scholarship (much of …

Mwptoolkit: An Open-Source Framework For Deep Learning-Based Math Word Problem Solvers, Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Duplicate record, see https://ink.library.smu.edu.sg/sis_research/7680/. Developing automatic Math Word Problem (MWP) solvers has been an interest of NLP researchers since the 1960s. Over the last few years, there are a growing number of datasets and deep learning-based methods proposed for effectively solving MWPs. However, most existing methods are benchmarked solely on one or two datasets, varying in different configurations, which leads to a lack of unified, standardized, fair, and comprehensive comparison between methods. This paper presents MWPToolkit, the first open-source framework for solving MWPs. In MWPToolkit, we decompose the procedure of existing MWP solvers into multiple core components and decouple …

Debiasing Nlu Models Via Causal Intervention And Counterfactual Reasoning, Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing

Research Collection School Of Computing and Information Systems

Recent studies have shown that strong Natural Language Understanding (NLU) models are prone to relying on annotation biases of the datasets as a shortcut, which goes against the underlying mechanisms of the task of interest. To reduce such biases, several recent works introduce debiasing methods to regularize the training process of targeted NLU models. In this paper, we provide a new perspective with causal inference to fnd out the bias. On the one hand, we show that there is an unobserved confounder for the natural language utterances and their respective classes, leading to spurious correlations from training data. To remove …

Evaluating Semantic Matching Techniques For Technical Documents, Rain F. Dartt

Theses and Dissertations

Machine learning models that employ NLP techniques have become more widely accessible, making them an attractive solution for text and document classification tasks traditionally accomplished by humans. Two such use cases are matching the specialized experience required for a job to statements in applicant resumes, and finding and labelling clauses in legal contracts The AFMC has an immediate need for solutions to civilian hiring. However, there is currently no truth data to validate against. A similar task is contract understanding for which there is the CUAD, a recently published repository of 510 contracts manually labelled by legal experts. The presented …

Analysis Of The Perspective On Syrian Refugees By Neighboring Countries, Norma Ghanem

Theses and Dissertations

Mass migration destabilizes neighboring states, opening the way for fragile state exploitation by enemies, including those that could undermine U.S. national interests. This study investigates an area of the Levant region, specifically countries neighboring Syria, and analyzes their perspective on Syrian refugees for the time frame of 1 June 2019 - 30 June 2020. This analysis may assist in forming policy and creating strategies to address refugee related issues, both domestic and international. There are three main questions addressed. The first inspects dominant refugee framing, the second explores sentiment (dis)similarity within each country and across countries, and the third investigates …

Cybersecurity Risk In U.S. Critical Infrastructure: An Analysis Of Publicly Available U.S. Government Alerts And Advisories, Zachary Lanz

International Journal of Cybersecurity Intelligence & Cybercrime

As threat actor operations become increasingly sophisticated and emphasize the targeting of critical infrastructure and services, the need for cybersecurity information sharing will continue to grow. Escalating demand for cyber threat intelligence and information sharing across the cybersecurity community has resulted in the need to better understand the information produced by reputable sources such as U.S. CISA Alerts and ICS-CERT advisories. The text analysis program, Profiler Plus, is used to extract information from 1,574 U.S. government alerts and advisories to develop visualizations and generate enhanced insights into different cyber threat actor types, the tactics which can be used for cyber …

Directional Pairwise Class Confusion Bias And Its Mitigation, Sudhashree Sayenju, Ramazan Aygun Phd, Jonathan Boardman, Duleep Prasanna Rathgamage Don, Yifan Zhang Phd, Bill Franks, Sereres Johnston Phd, George Lee, Dan Sullivan, Girish Modgil Phd

Published and Grey Literature from PhD Candidates

Recent advances in Natural Language Processing have led to powerful and sophisticated models like BERT (Bidirectional Encoder Representations from Transformers) that have bias. These models are mostly trained on text corpora that deviate in important ways from the text encountered by a chatbot in a problem-specific context. While a lot of research in the past has focused on measuring and mitigating bias with respect to protected attributes (stereotyping like gender, race, ethnicity, etc.), there is lack of research in model bias with respect to classification labels. We investigate whether a classification model hugely favors one class with respect to another. …

The Effects Of Epistemic Beliefs On Undergraduate Students' Emotions And Attitudes Towards Genetically Modified Foods, David Andrew Lee

Doctoral Dissertations and Projects

Much research has explored socio-scientific issues (SSIs) in science instruction, including the connections between conceptions and attitude. Studies have also shown that epistemic beliefs affect epistemic emotions, which are a key component of students’ reaction to complex scientific topics. Correcting misconceptions can also result in emotional and attitude change, particularly surrounding the topic of genetically modified foods (GMFs). However, the impact of epistemic beliefs on emotions and attitude towards GMFs has largely gone unexplored. The purpose of this study is to examine the effects of epistemic beliefs on epistemic emotions and attitudes towards GMFs. This quantitative correlational study sampled 78 …

An Examination Of Teachers’ Experiences With The Multi-Tiered System Of Support Process In A Middle School Setting, Martavious Kendrell Johnson

Doctoral Dissertations and Projects

The purpose of this qualitative transcendental phenomenological study was to understand teachers’ experiences when implementing the Multi-Tiered Systems of Support systemic framework in a middle school setting. The problem was teachers’ lack of emotional and tangible support from their schools when exerting time, energy, and resources necessary for successful implementation of the components of the Multi-Tiered System of Support (MTSS) framework. The theory that guided this study was Revans’ action learning theory (ALT), which consisted of four components: (a) problems, (b) clients, (c) self-advisors, and (d) processes. The central research question that guided this study was: what are the experiences …

A Phenomenological Study Of The Lived Experiences Of Alternatively Certified Second-Career Educators, Alison L. Harmon

Doctoral Dissertations and Projects

The purpose of this phenomenological study was to explore the perceptions and lived experiences of alternatively certified second-career educators in urban elementary schools in South Carolina. Currently, alternatively certified second-career educators are defined as professionals who have a degree in a field other than education but teach with an alternative license. The central question for this study was: How do alternatively certified educators describe their experiences and perceptions of the teaching profession in the first five years? The phenomenological qualitative approach unveiled the underlying reasons why alternatively certified teachers stay in education past the first five years. The theories guiding …

Translanguaging Space In A Bilingual Program In New York City Chinatown Middle School, Xiaodi Zhou, Danling Fu

Bilingual and Literacy Studies Faculty Publications

This study explores how translanguaging pedagogy was practiced in a New York City Chinatown middle school to engage emergent bilingual students (EBs) with diverse language literacy backgrounds in their study of the grade level social studies curriculum. The data were collected over the past two decades while we worked with classroom teachers in search of effective ways to improve EBs’ school performance. We revisited this data utilizing a translanguaging lens to reconceptualize this past work and reframe our analysis to deepen understanding of translanguaging teaching praxis. Therefore, this research not only seeks possible ways to meet challenges in the education …

Pathways From Child Maltreatment To Proactive And Reactive Aggression: The Role Of Post-Traumatic Stress Symptom Clusters, Elizabeth M. Mcrae, Laura Stoppelbein, Sarah E. O'Kelley, Paula K. Fite, Shana B. Smith

Research, Publications & Creative Work

Objective: Childhood aggression is related to a myriad of negative concurrent and long-term outcomes. To mitigate the risks associated with childhood aggression, it is important to understand risk factors that might predispose one to aggressive behaviors. One risk factor commonly associated with aggression is the experience of child maltreatment. A common outcome associated with child maltreatment is the development of post-traumatic stress symptoms (PTSS). Several prevailing theoretical models of both post-traumatic stress and aggression indicate that these constructs have similar underlying cognitive, behavioral, and emotional mechanisms. Therefore, the present study examined the relations between and among child maltreatment, PTSS clusters, …

Faith-Based Public Foundations: Identifying The Field And Assessing Its Impact, Allison K. Ralph, Brad R. Fulton, Samuel Allen

The Foundation Review

Charitable activity is a core tenet of most faith traditions, and many charitable organizations have a religious identity. However, little is known about the prevalence and scale of faith-based foundations, and how they differ from secular foundations.

This article identifies the field of public foundations, differentiates between faith-based and secular foundations, and compares their characteristics by analyzing Form 990 data. An analysis of these data estimates that 24% of all public charities operate as foundations and that 17% of public foundations are faith-based. These findings are used to generate first-ever estimates for the entire field of public foundations.

This analysis …

Auto-Correction Model For Lip Reading System, Nada Hussain Ali, Matheel E., Akbas Ezaldeen Ali

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Auto-Correction is the process of correcting a misspelled word typed by the user as an application of automated translation process. lip-reading is the process of recognizing the words through processing and observing the visual lip movement of a speaker’s talking without any audio input. Although visual information itself cannot be considered as enough resource to provide normal speech as intelligibility, it may succeed with several cases especially when the words to be recognized are limited. Auto-correction is a trail to diminish the number of errors that can be generated by lip reading systems and to improve their accuracy, many error-correction …

A Viewpoint On Accent Services: Framing And Terminology Matter, Vikas Grover, Aravind Namasivayam, Nidhi Mahendra

Faculty Research, Scholarly, and Creative Activity

Purpose: The purpose of this article is to offer a contemporary viewpoint on accent services and contend that an equity-minded reframing of accent services in speech-language pathology is long overdue. Such reframing should address directly the use of nonpejorative terminology and the need for nurturing global linguistic diversity and practitioner diversity in speech-language pathology. The authors offer their perspective on affirmative and least-biased accent services, an in-depth scoping review of the literature on accent modification, and discuss using terms that communicate unconditional respect for speaker identity and an understanding of the impact of accent services on accented speakers. Conclusions: Given …

Towards Efficient Annotations For A Human-Ai Collaborative, Clinical Decision Support System: A Case Study On Physical Stroke Rehabilitation Assessment, Min Hun Lee, Daniel P. Siewiorek, Asim Smailagic, Alexandre Bernardino, Sergi Bermúdez I Badia

Research Collection School Of Computing and Information Systems

Artificial intelligence (AI) and machine learning (ML) algorithms are increasingly being explored to support various decision-making tasks in health (e.g. rehabilitation assessment). However, the development of such AI/ML-based decision support systems is challenging due to the expensive process to collect an annotated dataset. In this paper, we describe the development process of a human-AI collaborative, clinical decision support system that augments an ML model with a rule-based (RB) model from domain experts. We conducted its empirical evaluation in the context of assessing physical stroke rehabilitation with the dataset of three exercises from 15 post-stroke survivors and therapists. Our results bring …

The Impact Of Disruptive Physician Behavior On Support Staff And Patients: A Quantitative Secondary Analysis, Michael C. Marino

Electronic Theses and Dissertations

In this quantitative secondary analysis, the purpose was to examine the nature of disruptive physician behavior (DPB) from the support staff and patient perspectives. Healthcare staffing shortages existed prior to the global pandemic and have increased, creating importance for employee retention and recruitment. I wanted to understand the impact of physician behavior on staff turnover rates in a private oncology practice, its effect on patient satisfaction rates, and to compare these rates of physicians that display DPB with physicians that do not display this behavior in a private hematology oncology community outpatient setting in the Southwest United States. To answer …

Richard Wilbur's Right Listening: A Review Essay, William Tate

Pro Rege

No abstract provided.

Learning Program Semantics With Code Representations: An Empirical Study, Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu

Research Collection School Of Computing and Information Systems

Program semantics learning is the core and fundamental for various code intelligent tasks e.g., vulnerability detection, clone detection. A considerable amount of existing works propose diverse approaches to learn the program semantics for different tasks and these works have achieved state-of-the-art performance. However, currently, a comprehensive and systematic study on evaluating different program representation techniques across diverse tasks is still missed. From this starting point, in this paper, we conduct an empirical study to evaluate different program representation techniques. Specifically, we categorize current mainstream code representation techniques into four categories i.e., Feature-based, Sequence-based, Tree-based, and Graph-based program representation technique and …

Aspect-Based Api Review Classification: How Far Can Pre-Trained Transformer Model Go?, Chengran Yang, Bowen Xu, Junaed Younus Khan, Gias Uddin, Donggyun Han, Zhou Yang, David Lo

Research Collection School Of Computing and Information Systems

APIs (Application Programming Interfaces) are reusable software libraries and are building blocks for modern rapid software development. Previous research shows that programmers frequently share and search for reviews of APIs on the mainstream software question and answer (Q&A) platforms like Stack Overflow, which motivates researchers to design tasks and approaches related to process API reviews automatically. Among these tasks, classifying API reviews into different aspects (e.g., performance or security), which is called the aspect-based API review classification, is of great importance. The current state-of-the-art (SOTA) solution to this task is based on the traditional machine learning algorithm. Inspired by the …

Double The Vocation, Double The Awe: An Examination Of Vocational Awe In Music Librarianship, Z. Sylvia Yang, Emily Vickers

Library Faculty Publications

Building upon Ettarh’s call to dismantle vocational awe in librarianship, this article outlines the shared components of Western libraries and Western music that lay the groundwork for vocational awe in each of these institutions and explores the ways in which vocational awe uniquely manifests for workers in the interdisciplinary field of music librarianship. The article explores the narrative of music’s goodness, disciplinary training, and manifestations of vocational awe as they appear in the institutional cultures of practice of music and librarianship: inability to develop work-life balance, job creep, low morale, and inequitable compensation. In naming this phenomenon as it is …

Mwptoolkit: An Open-Source Framework For Deep Learning-Based Math Word Problem Solvers, Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

While Math Word Problem (MWP) solving has emerged as a popular field of study and made great progress in recent years, most existing methods are benchmarked solely on one or two datasets and implemented with different configurations. In this paper, we introduce the first open-source library for solving MWPs called MWPToolkit, which provides a unified, comprehensive, and extensible framework for the research purpose. Specifically, we deploy 17 deep learning-based MWP solvers and 6 MWP datasets in our toolkit. These MWP solvers are advanced models for MWP solving, covering the categories of Seq2seq, Seq2Tree, Graph2Tree, and Pre-trained Language Models. And these …

Can Identifier Splitting Improve Open-Vocabulary Language Model Of Code?, Jieke Shi, Zhou Yang, Junda He, Bowen Xu, David Lo

Research Collection School Of Computing and Information Systems

Statistical language models on source code have successfully assisted software engineering tasks. However, developers can create or pick arbitrary identifiers when writing source code. Freely chosen identifiers lead to the notorious out-of-vocabulary (OOV) problem that negatively affects model performance. Recently, Karampatsis et al. showed that using the Byte Pair Encoding (BPE) algorithm to address the OOV problem can improve the language models’ predictive performance on source code. However, a drawback of BPE is that it cannot split the identifiers in a way that preserves the meaningful semantics. Prior researchers also show that splitting compound identifiers into sub-words that reflect the …

Developing A Food And Beverage Corporate Sustainability Performance Structure In Indonesia: Enhancing The Leadership Role And Tenet Value From An Ethical Perspective, Tat Dat Bui, Hania Aminah, Ching Hsin Wang, Ming Lang Tseng, Mohammad Iranmanesh, Ming K. Lim

Research outputs 2022 to 2026

The food and beverage industry is the second largest contributor to Indonesia’s economy; however, most industry firms significantly, and negatively, impact ecological and economic performance, and corporate sustainability performance is considered an area that can be significantly improved. This study aims to measure the causal interrelationships among the hierarchical attributes, as well as the decisive attributes that force successful corporate sustainability. Further, there are also other factors that have a negative impact, such as poor social justice and firms’ responsibilities and identities. Hence, emphasizing the ethics role to ensure a better sustainable performance in addition to focusing on the traditional …

Role Of Group Work In Promoting Student To Student Interaction And Motivation In The Efl Classroom, Iman Duw Suwassi

Theses

This thesis is concerned with group work and collaborative learning and teaching in the English as a Foreign Language (EFL) classroom in the UAE. This study aims to discover the role of group work and collaborative learning in promoting student to student interaction and motivation in the English Language Classroom. Three tools were used in this study to collect data. An online student questionnaire and an online student survey were conducted with 15 high school students during a distance learning lesson on Microsoft Teams. The third tool was an online interview conducted via Zoom with the high school English Teacher. …

Looking Back, Looking Forward: Resilience And Persistence In A Klamath Tribal Community, Thomas J. Connolly, Christopher L. Ruiz, Douglas Deur, Perry Chocktoot Jr., Jaime L. Kennedy, Dennis L. Jenkins, Julia A. Knowles

Anthropology Faculty Publications and Presentations

The process of human culture entails a perpetual negotiation between the familiar and the new. In the Americas, this process was much accelerated and amplified within Native communities by the historical processes of colonization. We use the record of the Beatty Curve archaeological site in south-central Oregon to examine how members of the Klamath Tribes and their ancestors selectively adopted, adapted, or repurposed introduced materials and practices most compatible with traditional lifeways and values while also maintaining many traditional practices, both overtly and covertly. Transformations from pre-contact to reservation life, and through Termination and Restoration in the 20th century, are …

The Correlation Between Self-Efficacy, Differentiated Instruction, And Gifted Training In Schools Serving Students Originating From Under-Resourced Homes, Amy Dean O'Dell

Doctoral Dissertations and Projects

Teachers face the challenge of meeting diverse learners’ academic needs. Many learners from historically underrepresented student populations enter school with varying exposure to quality learning opportunities creating an academic gap and affecting gifted identification. Differentiation moved to the forefront of education as part of the response to intervention process and to meet gifted learners’ academic needs. However, many teachers may feel ill-equipped to address a wide range of ability levels. The classroom’s diverse and dynamic nature required efficacious teachers prepared to differentiate instruction effectively. The purpose of this bivariate correlational study was to examine the relationship between teachers’ self-efficacy, teachers’ …