Digital Commons Network^™

Active Filter Modelling To Mitigate Harmonics Generated By Electric Vehicle Chargers, Fasalu Rahman Puthiyottil

Electrical Engineering Theses

The Automotive industry is going through a rapid transformation to adopt electrified technology. A major share of the electrified vehicles is going to be in the Battery electric vehicles (BEVs) and plug in hybrids segments that need to connect to the grid to recharge the batteries. For customer convenience, the time required for fully charging the battery need to be brought down significantly. EV charging stations are getting installed that could bring down the charging time to less than 30 minutes. However this pose a unique issue to the power quality of the utility grid. During charging, the EV charging …

Las Dos Cosas Versus Exclusive Breastfeeding: A Culturally And Linguistically Exploratory Intervention Study In Hispanic Mothers Living In Kentucky, Ana Maria Linares, Diana Cartagena, Mary Kay Rayens

Nursing Faculty Publications

INTRODUCTION: Formula supplementation among infants of breastfeeding Hispanic immigrants is common practice known as las dos cosas. The purpose of this study was to assess the feasibility, effectiveness, and acceptability of a culturally and linguistically diverse intervention to promote exclusive breastfeeding (EBF) for the first 6 months.

METHODS: A sample of 39 Hispanic pregnant women was recruited and randomly assigned to intervention (n = 20) and control groups (n = 19). The intervention included a peer counselor and professional support, and mothers were followed from pregnancy to 6 months after birth.

RESULTS: After the study, women assigned to …

Estimating Glycemic Impact Of Cooking Recipes Via Online Crowdsourcing And Machine Learning, Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney

Research Collection School Of Computing and Information Systems

Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive. In this paper, we explore a data-driven approach utilizing online crowdsourcing and machine learning to estimate the glycemic impact of cooking recipes. We show that a commonly used healthiness metric may not always be effective in determining recipes suitable for diabetics, thus emphasizing the importance of the glycemic-impact estimation task. Our best classification model, trained on nutritional and crowdsourced data obtained from Amazon Mechanical Turk (AMT), can …

Automated Theme Search In Ico Whitepapers, Chuanjie Fu, Andrew Koh, Paul Griffin

Research Collection School Of Computing and Information Systems

The authors explore how topic modeling can be used to automate the categorization of initial coin offerings (ICOs) into different topics (e.g., finance, media, information, professional services, health and social, natural resources) based solely on the content within the whitepapers. This tool has been developed by fitting a latent Dirichlet allocation (LDA) model to the text extracted from the ICO whitepapers. After evaluating the automated categorization of whitepapers using statistical and human judgment methods, it is determined that there is enough evidence to conclude that the LDA model appropriately categorizes the ICO whitepapers. The results from a two-population proportion test …

Semi-Supervised Entity Alignment Via Joint Knowledge Embedding Model And Cross-Graph Model, Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Entity alignment aims at integrating complementary knowledge graphs (KGs) from different sources or languages, which may benefit many knowledge-driven applications. It is challenging due to the heterogeneity of KGs and limited seed alignments. In this paper, we propose a semi-supervised entity alignment method by joint Knowledge Embedding model and Cross-Graph model (KECG). It can make better use of seed alignments to propagate over the entire graphs with KG-based constraints. Specifically, as for the knowledge embedding model, we utilize TransE to implicitly complete two KGs towards consistency and learn relational constraints between entities. As for the cross-graph model, we extend Graph …

What Does Cultural Competence Mean To Preservice School Librarians? A Critical Discourse Analysis, Kafi D. Kumasi, Renee F. Hill

School of Information Sciences Faculty Research Publications

In order to provide culturally responsive instruction to all students, school library professionals need to recognize the various discourses around cultural competence that exist in the field of library and information science (LIS) and understand the broader meanings that are attached to these discourses. This study presents an evaluation of the underlying ideologies that are embedded in the textual responses of a group of LIS students reporting on their perceived levels of cultural competence preparation.

Innovative Accounting Interviewing: A Comparison Of Real And Virtual Accounting Interviewers, Matthew D. Pickard, Ryan Schuetzler, Joseph S. Valacich, David A. Wood

Faculty Publications

Recent technological advances have made it possible to create automated, virtual interviewers, called embodied conversational agents (ECAs). We study how an ECA compares to a human interviewer in three experiments. In experiment 1, we show that two theoretically motivated factors—making the ECA facially and vocally similar to the interviewee—result in the ECA performing similarly to or better than human interviewers for six antecedents of disclosure quality. In two additional experiments, we show that employees are on average between 21 and 32 percent more likely to disclose violating internal controls to an ECA than to a human interviewer, even if the …

Collective Representation Learning On Spatiotemporal Heterogeneous Information Networks, Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold, Yanjie Fu

Computer Science Faculty Research & Creative Works

Representation learning is a technique that is used to capture the underlying latent features of complex data. Representation learning on networks has been widely implemented for learning network structure and embedding it in a low dimensional vector space. In recent years, network embedding using representation learning has attracted increasing attention, and many deep architectures have been widely proposed. However, existing network embedding techniques ignore the multi-class spatial and temporal relationships that crucially reflect the complex nature among vertices and links in spatiotemporal heterogeneous information networks(SHINs).

To address this problem, in this paper, we present two types of collective representation learning …

A Deep Learning Approach For Tweet Classification And Rescue Scheduling For Effective Disaster Management, Md. Yasin Kabir, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

Every activity in disaster management demands accurate and up-todate information to allow a quick, easy, and cost-efective response to reduce the possible loss of lives and properties. It is a challenging and complex task to acquire information from diferent regions of a disaster-afected area in a timely fashion. The extensive spread and reach of social media and networks such as Twitter allow people to share information in real-time. However, gathering of valuable information requires a series of operations such as (1) processing each tweet for the text classiication, (2) possible location determination of people needing help based on tweets, and …

Student Perceptions Of Learning Introductory Mathematics In An Online Environment In Higher Education, Jamie Lynn Brooks

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the essence of student perception of learning introductory mathematics courses in an online environment at the college level. The central research question was, “What are the lived experiences of students who have completed introductory college mathematics courses in the online learning environment?” The phenomenon described was that of the beliefs and attitudes of the students who participated in introductory mathematics courses on the college level. The ideas explored were if students believe they learn effectively in this environment and how they believe they can best learn. Student beliefs and attitudes …

Student Perceptions Of Trivium-Based Education In Classical Christian Schools: A Phenomenological Study, Robert Todd Mitchell

Doctoral Dissertations and Projects

The purpose of this phenomenological study is to describe the lived experiences of students who graduated from modern classical Christian schools. The theoretical framework utilized is Bandura’s Social Learning Theory (SLT) as it relates to his concept of academic self-efficacy (ASE). Bandura (1986) posited that there are four constructs that serve as predictors in the development of ASE: mastery experiences, vicarious experiences, social persuasion, and physiological response. To address the research problem, I identified a purposive criteria sampling of 8 participants who graduated from accredited and member ACCS schools having experienced all three components of the trivium. Of the eight …

The Relationship Between Teachers’ Understanding And Implementation Of Differentiated Reading Instruction And Third-Graders’ Reading Achievement Scores, Diedre L. Capers

Doctoral Dissertations and Projects

The purpose of this correlational study was to determine whether the predictor variables, teachers’ perceived understanding and implementation of differentiated instruction, as measured by the Understanding and Implementation of Differentiated Instruction survey, had a relationship to the criterion variable, third-grade students’ reading achievement, as measured by the mClass: Reading 3D Text Reading and Comprehension Test. Using convenience sampling, third grade teachers from six rural North Carolina counties were invited to participate in the study. Data from 54 third grade teachers who consented to participate were analyzed using a Pearson product moment correlation. The results of this study indicated that a …

The Impact Of Dynamic Written Corrective Feedback On Arab Efl Intermediate Students’ Writing Accuracy, Esraa Abdulrahman Alyousef

Theses

This thesis is concerned with finding the impact of applying dynamic written corrective feedback (DWCF) on Arab intermediate EFL learners’ writing accuracy. The current study focuses on the writing components of content, organization, grammar, vocabulary, and mechanics. The main objective of this thesis is to examine how DWCF can affect intermediate EFL learners’ writing accuracy. The research included 38 grade eight learners as participants of the study. Both quantitative and qualitative research methods were used. The quantitative data was collected via the use of pre-post test research instruments while the survey research instrument gathered the qualitative data. The study found …

Negotiating The Intersection Of Arabic And Anglo-American Literary Journalism: Exploring Possibilities, Challenging Canons, Samah Gomaa Abou Marzouk

Dissertations

Literary journalism is an art form that combines storytelling techniques with the verifiability of standard journalism. Research in the field is recent and predominantly Western. Unlike Anglo-American literary journalism, there are no studies on Arabic literary journalism as a stand-alone art form in Arabic and only one in English, which examines the reasons for its scarcity. This study aims to prove otherwise. The objective of this research is to combine history and criticism in exploring Arabic literary journalism; examine it is predecessors, characteristics, motives and how it relates to its Anglo-American counterpart; and determine whether the two are fundamentally different …

Low-Resource Name Tagging Learned With Weakly Labeled Data, Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji

Research Collection School Of Computing and Information Systems

Name tagging in low-resource languages or domains suffers from inadequate training data. Existing work heavily relies on additional information, while leaving those noisy annotations unexplored that extensively exist on the web. In this paper, we propose a novel neural model for name tagging solely based on weakly labeled (WL) data, so that it can be applied in any low-resource settings. To take the best advantage of all WL sentences, we split them into high-quality and noisy portions for two modules, respectively: (1) a classification module focusing on the large portion of noisy data can efficiently and robustly pretrain the tag …

Predicting Audience Engagement Across Social Media Platforms In The News Domain, Kholoud Khalil Aldous, Jisun An, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We analyze cross-platform factors for posts on both single and multiple social media platforms for numerous news outlets to better predict audience engagement, precisely the number of likes and comments. We collect 676,779 social media posts from 53 news outlets during eight months on four social media platforms (Facebook, Instagram, Twitter, and YouTube), along with the associated comments (more than 31 million) and the number of likes (more than 840 million). We develop a framework for predicting the audience engagement based on both linguistic features of the post and social media platform factors. Among other findings, results show that content …

Aspect And Opinion Aware Abstractive Review Summarization With Reinforced Hard Typed Decoder, Yufei Tian, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study abstractive review summarization. Observing that review summaries often consist of aspect words, opinion words and context words, we propose a two-stage reinforcement learning approach, which first predicts the output word type from the three types, and then leverages the predicted word type to generate the final word distribution. Experimental results on two Amazon product review datasets demonstrate that our method can consistently outperform several strong baseline approaches based on ROUGE scores.

Assessing The Generalizability Of Code2vec Token Embeddings, Hong Jin Kang, Tegawende F. Bissyande, David Lo

Research Collection School Of Computing and Information Systems

Many Natural Language Processing (NLP) tasks, such as sentiment analysis or syntactic parsing, have benefited from the development of word embedding models. In particular, regardless of the training algorithms, the learned embeddings have often been shown to be generalizable to different NLP tasks. In contrast, despite recent momentum on word embeddings for source code, the literature lacks evidence of their generalizability beyond the example task they have been trained for. In this experience paper, we identify 3 potential downstream tasks, namely code comments generation, code authorship identification, and code clones detection, that source code token embedding models can be applied …

A Political Interpretation Of Vagueness Doctrine, Brenner M. Fissell, Guyora Binder

Faculty Publications

The “void-for-vagueness” doctrine requires the specific definition of criminal offenses. In this Article, though, we claim it does more: it largely restricts criminalization decisions to legislatures, which are unlikely to criminalize conduct they see as both harmless and widespread. Thus, rather than constitutionalizing the harm principle and thereby assuming a judicial obligation to define harm, the Supreme Court has used the vagueness doctrine to constrain majorities to make their own assessments of harmfulness. While American law has no explicit requirements that criminal liability be created by legislation or conditioned on harm, the vagueness doctrine achieves those ends indirectly

Word Importance Modeling To Enhance Captions Generated By Automatic Speech Recognition For Deaf And Hard Of Hearing Users, Sushant Kafle

Theses

People who are deaf or hard-of-hearing (DHH) benefit from sign-language interpreting or live-captioning (with a human transcriptionist), to access spoken information. However, such services are not legally required, affordable, nor available in many settings, e.g., impromptu small-group meetings in the workplace or online video content that has not been professionally captioned. As Automatic Speech Recognition (ASR) systems improve in accuracy and speed, it is natural to investigate the use of these systems to assist DHH users in a variety of tasks. But, ASR systems are still not perfect, especially in realistic conversational settings, leading to the issue of trust and …

Improving Automatic Speech Recognition On Endangered Languages, Kruthika Prasanna Simha

Theses

As the world moves towards a more globalized scenario, it has brought along with it the extinction of several languages. It has been estimated that over the next century, over half of the world's languages will be extinct, and an alarming 43% of the world's languages are at different levels of endangerment or extinction already. The survival of many of these languages depends on the pressure imposed on the dwindling speakers of these languages. Often there is a strong correlation between endangered languages and the number and quality of recordings and documentations of each. But why do we care about …

Teaching Towards Critical Consciousness: Preservice Teachers Narrate Race In English Education, Joanelle Morales

USF Tampa Graduate Theses and Dissertations

English teacher educators argue the need to reshape English Education programs by offering transformative discussion that promote “Critical Race English Education” which centers race and racism and examines the role of language and literacy in disrupting existing power relations (Baker-Bell, Butler, & Johnson, 2017). This study explored four secondary English preservice teachers’ understandings of race in education under a Critical Race Theory lens. Through narrative inquiry, their stories revealed how they constructed and made meaning of their racial identities and how these identities informed their practices and instructional decisions as English teachers. By inviting preservice teachers to confront their experiences …

Authorship Productivity And Applicability Of Lotka's Law In Phytochemistry Literature, Radhakrishnan S, Baskaran C

Library Philosophy and Practice (e-journal)

This article aims to present the results of the Scientometric analysis in the Phytochemistry literature. A total of 13215 records from 2014 to 2018 were taken for the analysis.The Data were downloaded from SCOPUS online database. This study mainly concentrates the authorship productivity, applicability of Lotka's law, Price square root law and Pareto's 80/20 rule. The Chi square value is 225.65 which is higher than the table value in the analysis of Lotka's law. The square root of total authors, who have contributed 7.94 % of the total contribution, is found to be 255.52 in Price square Root Law. The …

Analysis Of Scholarly Publications On Bronchitis At Global Perspective: A Metric Study, S.Roselin Jahina, Dr. M.Sadik Batcha

Library Philosophy and Practice (e-journal)

This research paper examines the validity of the use of bibliometric law for research on bronchitis literature worldwide. The various bibliometric laws of the lotka’s law and Zipf's law in their mathematical expressions often present difficulties in adapting the observed values. The result indicates that the author's productivity according to Lotka's law is consistent with research on bronchitis literature worldwide. The law of the price square root is not applicable with the author's productivity information. Zipf’s law was applied to identify publications about the frequency of word occurrence.

Assessing The Value Of Korean School Library Research: A Bibliometric Comparison Of Korean And International Journal Papers, Eungi Kim

Library Philosophy and Practice (e-journal)

This study aimed to assess the value of Korean school library research by comparing Korean and international research on school libraries. To conduct this research, records of international papers indexed by Scopus and domestic papers indexed by the Korean Citation Index (KCI) on school libraries were downloaded. These records were analyzed and compared in terms of publication trends, journals, and author keywords. Approximately, four Korean LIS journals collectively published 39% more papers than the international journals indexed by Scopus, suggesting the substantial contributions made by Korean researchonschool libraries. The unique subtopicsofschool libraries in Korean domestic research were the revitalization of …

A Transcendental Phenomenology Of General Education Teachers' Experiences Instructing Twice-Exceptional High School Students, Jill Denise Collet

Doctoral Dissertations and Projects

This transcendental phenomenological study examined the experiences of 10 teachers of twice exceptional students at two high schools in northeast Ohio. The central research question was: What are the shared experiences of general education high school teachers instructing twice-exceptional students in northeast Ohio? Sub-questions explored how participants described their experiences in meeting the educational needs of twice-exceptional learners, how teachers described their self-efficacy in regard to teaching twice-exceptional students, and obstacles they found while teaching these students. Moustakas’ (1994) transcendental model to find the essence of the phenomenon was utilized to collect data through interviewing participants, conducting online focus groups, …

A Phenomenological Hermeneutic Study Of The Lived Experiences Of Spanish Elementary Dual Immersion Principals, Osvaldo Garcia

Doctoral Dissertations and Projects

The purpose of this qualitative phenomenological hermeneutic study was to describe the lived experiences of Spanish elementary dual immersion school principals who have led or are leading in Spanish elementary dual immersion schools. At this stage in the research, Spanish elementary dual immersion schools were generally defined as educational institutions designed to provide instruction in English and Spanish. The following central research question guided the study: What is the leadership experiences of Spanish elementary dual immersion school principals? The researcher delved into the challenges, benefits, and transformational leadership traits of Spanish elementary dual immersion school principals. The theory which guided …

The Nurse As The Facilitator Of Patients' Narration: An Educational Intervention, Petra Stockman

Electronic Theses and Dissertations

More than one million resident patients live and receive care at certified long-term facilities in the United States, many of whom suffer from depressive symptoms and anxiety. Prior research recommended storytelling as a vibrant nursing intervention to assist long-term care residents in overcoming challenges and emotional pain. However, nurses frequently lack knowledge of successful planning and implementation of narrative reminiscence. This scholarly project was designed to increase nursing competence and confidence in using storytelling as a clinical tool to improve mental health in long-term care, using a quasi-experimental, nonrandomized pretest, intervention, and posttest study design. A convenience sample of 10 …

The Impact Of Virtual Classroom Template On The Development Of Cognitive Skills, Infographic Production Quality And Usability, Amal Nasralden, Mohamed El-Sherbeny

International Journal for Research in Education

This study aims at pointing out the impact of "lobby mode" versus that of "analytical mode" on developing cognitive skills, quality of production and usability of the model system; all through using Adobe Connect. An achievement was developed and it consisted of 20 lexicon to measure the cognitive skills of instructional infographic design. In addition, an assessment card has been used to assess the final production in terms of quality. The card is composed of 44 texts designed to measure the quality of infographic. Besides, a measuring scale has been founded, that is composed of 55 phrases distributed among five …

Are Economic Pressures On University Press Acquisitions Quietly Changing The Shape Of The Scholarly Record?, Emily J. Farrell, Kizer S. Walker, Nicole A. Kendzejeski, Mahinder S. Kingra, Elizabeth Windsor

Charleston Library Conference

The monograph remains central to humanities and qualitative social science (HSS) research as the form most suitable for the long-form argument and, crucially, as foundational to the tenure process in these fields. University and other scholarly presses have played a vital role in supporting the publication of scholarly monographs where such narrow research is not seen as being as commercially viable as, for example, journals. While there appears to be an erosion of traditional revenue streams, new funding models are not yet recuperating costs for scholarly monographs. Library budgets continue to tighten, with new collection strategies taking hold, putting strain …