Digital Commons Network^™

Vol. 40 No. 3 (2017): Pacific Studies Full Issue, The Jonathan Nāpela Center For Hawaiian And Pacific Islands Studies

Pacific Studies

Pacific Studies is published two times a year by The Jonathan Nāpela Center for Hawaiian and Pacific Studies, Brigham Young University Hawai‘i #1979, 55–220 Kulanui Street, Lāʻie, Hawai‘i 96762, but responsibility for opinions expressed in the articles rests with the authors alone. Subscription rate is US$40.00 yearly, payable to The Jonathan Nāpela Center for Hawaiian and Pacific Studies. The Jonathan Nāpela Center for Hawaiian and Pacific Studies (formerly The Pacific Institute) is an organization funded by Brigham Young University Hawai‘i. The Center assists the University in meeting its cultural and educational goals by undertaking a program of teaching, research, and …

Statistical Linear Mixed Models For Evaluation Of Training Program In Hand Surgery Chief Residents, Zoe Michelle Ross

Honors Theses

Resident clinics (RCs) are intended to catalyze the achievement of educational milestones through progressively autonomous patient care. However, few studies quantify their effect on competency-based surgical education, and no previous publications focus on hand surgery RCs. This study aims to use statistical theories and knowledge of descriptive statistics and inference statistics, such as confidence intervals, two sample t-tests, correlation and association tests, as well as statistical model building such as analysis of variance with random effects and mixed linear models. We hypothesize that the higher a resident’s training years, the higher the autonomy score (quality of surgery) will be. We …

An Analysis Of Prevalence Of Chytrid Fungus In An Amphibian Assemblage In Middle Tennessee, Cameron Brocco

Honors Theses

Chytridiomycosis is an infectious, fungal disease largely seen in amphibians, which is caused by the highly virulent, zoosporic, pathogenic, single-celled fungus Batrachochytrium dendrobatidis (Bd). It is known to cause epidermal hyperplasia, hyperkeratosis, skin ulcerations, and fatalities by asystolic cardiac arrest either from shifts in electrolytes or increased acidity in the blood plasma. Previous research has demonstrated that urban water bodies have a higher prevalence of chytrid fungus than rural water bodies. Researchers have also found that chytrid is more prevalent in open canopy habitats than closed canopy habitats. Furthermore, it is implicated in global population declines and local extinctions in …

Predicting The Author Of Twitter Posts With Markov Chain Analysis, Daniel Freeman

Honors Theses

Given a set of text with known authors, is it possible to take new text, not knowing who wrote it, and correctly identify the author? One way to do this is to analyze the text using Markov chains. This research project will first attempt to answer this question using books available in the public domain. Using what is learned from trying to identify authors of books, the primary goal of this project is to identify the best way to guess the author of a post on the social media network Twitter using Markov chains.

Gradus Ad Parnassum: A Reader's Edition And Commentary, Sara Miller Schulte

Masters Theses

The seminal eighteenth-century counterpoint treatise Gradus ad Parnassum by Johann Joseph Fux exists in Latin, German, French, Italian, Spanish, and a host of other languages in its entirely, but in English only the second book of two has been translated, and even that is available only in a collection of partial translations. While a complete English translation is well beyond the scope of this project, toward that end, this research makes a case for its completion and provides a modernized edition and commentary of the as-yet-untranslated first book.

Life Among Good Women: The Social And Religious Impact Of The Cathar Perfectae In The Thirteenth-Century Lauragais, Derek Robert Benson

Masters Theses

This Master’s Thesis builds on the work of previous historians, such as Anne Brenon and John Arnold. It is primarily a study of gendered aspects in the Cathar heresy. Using inquisitorial registers from the mid-thirteenth century to the early-fourteenth, as well as a few poetic and prose sources, it seeks to understand how the Cathar “Good Women” were perceived by their lay believers. The methodology of prosopography is utilized throughout to measure witness testimonies against one another and to compare the connections between the Cathar constituency and the female ministers.

Two main inquiries are investigated: the sacerdotal and pastoral roles …

Climate Change Impact On Urban Stormwater System And Use Of Green Infrastructure For Adaptation: An Investigation On Technology, Policy, And Governance, Krishna Prasad Dhakal

Dissertations

The world is urbanizing at an unprecedented rate, and cities are dominantly and increasingly becoming hubs for agglomerations of human population and economic activities, as well as major sources of environmental problems. Accordingly, humanity′s pursuit of global sustainability is becoming increasingly reliant on urban sustainability. Unfortunately, the traditional approaches of urbanization and urban stormwater management are inappropriate from the sustainability standpoint. By removing vegetation and topsoil and creating impervious structures, urbanization destroys natural biodiversity and hydrological processes. As a result, urban societies are disconnected from nature and deprived of ecosystem services including flood control, fresh air, clean water, and natural …

Urinary Incontinence And Women’S Quality Of Life In Oman, Alya Ali Abdullah Al Hasni

Dissertations

Urinary incontinence (UI) is a common public health concern among women worldwide, with adverse effects on their quality of life (QoL). This study aims to explore the prevalence of UI among Omani women aged 18-49 years old, and to explore the impact of UI on women's daily prayers, physical activities, social life, mental health, and general QoL. The study is of quantitative comparative design, and the researcher used the World Health Organization’s (WHOs) International Classification of Functioning, Disability and Health (ICF), as a conceptual framework. The researcher randomly chose four-hundred and one participants from ten primary health care centres in …

A Quality Improvement Initiative To Increase Hypertension Treatment Adherence Among Hispanic Patients With Limited English Proficiency, Barbara Chavez

Doctor of Nursing Practice

The purpose of this project was to improve hypertension (HTN) treatment adherence among limited English proficient Hispanic patients with uncontrolled HTN. Limited English Proficiency (LEP) significantly reduces HTN control among Hispanics by diminishing their understanding of HTN diagnosis, treatment adherence, and complications. A language sensitive education session focusing on antihypertensive medications, reduced sodium intake, and appointment keeping was implemented among LEP Hispanic patients 21 to 85 years of age, with uncontrolled HTN, receiving care at a federally funded south San Antonio clinic. The Hill-Bone Compliance to High Blood Pressure Therapy Scale was utilized to measure adherence in the following domains: …

Disability, Universalism, Social Rights, And Citizenship, Samuel R. Bagenstos

Cardozo Law Review

No abstract provided.

Bank Otkritie And Binbank: Was There An Option Other Than Bailout, Sergey Drobyshevsky, Pavel Trunin, Michael Khromov

Documents

Some of Russia’s big private banks were faced with the risk of banking license revocation in August–September 2017. The financial resolution of Bank Otkritie and of Binbank was implemented using a new mechanism – The Fund for Banking Sector Consolidation.

Commentary: Wanted - A New Generation Of Accountants, Poh Sun Seow, Gary Pan, Clarence Goh

Research Collection School Of Accountancy

Facing a new wave of automation, young accountants must redefine their role and their value-add to their company, say three Singapore Management University observers.

A Multiagent-Based Approach For Vehicle Routing By Considering Both Arriving On Time And Total Travel Time, Zhiguang Cao, Hongliang Guo, Jie Zhang

Research Collection School Of Computing and Information Systems

Arriving on time and total travel time are two important properties for vehicle routing. Existing route guidance approaches always consider them independently, because they may conflict with each other. In this article, we develop a semi-decentralized multiagent-based vehicle routing approach where vehicle agents follow the local route guidance by infrastructure agents at each intersection, and infrastructure agents perform the route guidance by solving a route assignment problem. It integrates the two properties by expressing them as two objective terms of the route assignment problem. Regarding arriving on time, it is formulated based on the probability tail model, which aims to …

Finding The 'Faster' Path In Vehicle Routing, Jing Guo, Yaoxin Wu, Xuexi Zhang, Le Zhang, Wei Chen, Zhiguang Cao, Hongliang Guo

Research Collection School Of Computing and Information Systems

In this study, the authors improve the faster criterion in vehicle routing by extending the bi-delta distribution to the bi-normal distribution, which is a reasonable assumption for travel time on each road link. Based on this assumption, theoretical models are built for an arbitrary path and subsequently adopted to evaluate two candidate paths through probabilistic comparison. Experimental results demonstrate the bi-normal behaviour of link travel time in practice, and verify the faster criterion's superiority in determining the optimal path either on an artificial network with bi-normal distribution modelling link travel time or on a real road network with real traffic …

Enterprise Social Media Use And Impact On Performance: The Role Of Workplace Integration And Positive Emotions, Murad Moqbel, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Organizations struggle to find ways to improve employees’ performance. To date, little research has empirically examined the relationship between enterprise social media use and knowledge workers’ performance. Using social capital theory and the broaden-and-build theory of positive emotions as our theoretical framework, we investigate the relationship between enterprise social media use and knowledge workers’ performance. We tested our research model by collecting data from employees working for a large information technology firm in the Midwestern United States and analyzing the data using a structural equation modeling approach. The results suggest that enterprise social media use can increase workplace integration, which …

On Modeling Sense Relatedness In Multi-Prototype Word Embedding, Yixin Cao, Juanzi Li, Jiaxin Shi, Zhiyuan Liu, Chengjiang Li

Research Collection School Of Computing and Information Systems

To enhance the expression ability of distributional word representation learning model, many researchers tend to induce word senses through clustering, and learn multiple embedding vectors for each word, namely multi-prototype word embedding model. However, most related work ignores the relatedness among word senses which actually plays an important role. In this paper, we propose a novel approach to capture word sense relatedness in multi-prototype word embedding model. Particularly, we differentiate the original sense and extended senses of a word by introducing their global occurrence information and model their relatedness through the local textual context information. Based on the idea of …

How Do Accounting Practices Spread? An Examination Of Law Firm Networks And Stock Option Backdating, Teck Meng Junior Tan, Patricia M. Dechow

Research Collection School Of Accountancy

We hypothesize that one way that accounting practices spread is through law firm connections. We investigate this prediction by examining companies that avoided reporting compensation expense by engaging in stock option backdating. We hypothesize that executives engaged in backdating because they were desensitized to its inappropriateness when they learned through their legal counsel that other companies were engaging in this practice. We identify backdating companies through backdating-related restatements of earnings. Using network analysis, we document that backdating companies are more highly connected with other backdating companies via shared law firms. Logistic regressions indicate that the odds of a company backdating …

Graphmp: An Efficient Semi-External-Memory Big Graph Processing System On A Single Machine, Peng Sun, Yonggang Wen, Nguyen Binh Duong Ta, Xiaokui Xiao

Research Collection School Of Computing and Information Systems

Recent studies showed that single-machine graph processing systems can be as highly competitive as clusterbased approaches on large-scale problems. While several outof-core graph processing systems and computation models have been proposed, the high disk I/O overhead could significantly reduce performance in many practical cases. In this paper, we propose GraphMP to tackle big graph analytics on a single machine. GraphMP achieves low disk I/O overhead with three techniques. First, we design a vertex-centric sliding window (VSW) computation model to avoid reading and writing vertices on disk. Second, we propose a selective scheduling method to skip loading and processing unnecessary edge …

Multilingual Sentiment Analysis : From Formal To Informal And Scarce Resource Languages, Siaw Ling Lo, Erik Cambria, Raymond Chiong, David Cornforth

Research Collection School Of Computing and Information Systems

The ability to analyse online user-generated content related to sentiments (e.g., thoughts and opinions) on products or policies has become a de-facto skillset for many companies and organisations. Besides the challenge of understanding formal textual content, it is also necessary to take into consideration the informal and mixed linguistic nature of online social media languages, which are often coupled with localised slang as a way to express ‘true’ feelings. Due to the multilingual nature of social media data, analysis based on a single official language may carry the risk of not capturing the overall sentiment of online content. While efforts …

Robust Human Activity Recognition Using Lesser Number Of Wearable Sensors, Di Wang, Edwin Candinegara, Junhui Hou, Ah-Hwee Tan, Chunyan Miao

Research Collection School Of Computing and Information Systems

In recent years, research on the recognition of human physical activities solely using wearable sensors has received more and more attention. Compared to other types of sensory devices such as surveillance cameras, wearable sensors are preferred in most activity recognition applications mainly due to their non-intrusiveness and pervasiveness. However, many existing activity recognition applications or experiments using wearable sensors were conducted in the confined laboratory settings using specifically developed gadgets. These gadgets may be useful for a small group of people in certain specific scenarios, but probably will not gain their popularity because they introduce additional costs and they are …

Leveraging The Trade-Off Between Accuracy And Interpretability In A Hybrid Intelligent System, Di Wang, Chai Quek, Ah-Hwee Tan, Chunyan Miao, Geok See Ng, You Zhou

Research Collection School Of Computing and Information Systems

Neural Fuzzy Inference System (NFIS) is a widely adopted paradigm to develop a data-driven learning system. This hybrid system has been widely adopted due to its accurate reasoning procedure and comprehensible inference rules. Although most NFISs primarily focus on accuracy, we have observed an ever increasing demand on improving the interpretability of NFISs and other types of machine learning systems. In this paper, we illustrate how we leverage the trade-off between accuracy and interpretability in an NFIS called Genetic Algorithm and Rough Set Incorporated Neural Fuzzy Inference System (GARSINFIS). In a nutshell, GARSINFIS self-organizes its network structure with a small …

Vkse-Mo: Verifiable Keyword Search Over Encrypted Data In Multi-Owner Settings, Yinbin Miao, Jianfeng Ma, Ximeng Liu, Junwei Zhang, Zhiquan Liu

Research Collection School Of Computing and Information Systems

Searchable encryption (SE) techniques allow cloud clients to easily store data and search encrypted data in a privacy-preserving manner, where most of SE schemes treat the cloud server as honest-but-curious. However, in practice, the cloud server is a semi-honest-but-curious third-party, which only executes a fraction of search operations and returns a fraction of false search results to save its computational and bandwidth resources. Thus, it is important to provide a results verification method to guarantee the correctness of the search results. Existing SE schemes allow multiple data owners to upload different records to the cloud server, but these schemes have …

Extracting Implicit Suggestions From Students’ Comments: A Text Analytics Approach, Venky Shankararaman, Swapna Gottipati, Jeff Rongsheng Lin, Sandy Gan

Research Collection School Of Computing and Information Systems

At the end of each course, students are required to give feedback on the course and instructor. This feedback includes quantitative rating using Likert scale and qualitative feedback as comments. Such qualitative feedback can provide valuable insights in helping the instructor enhance the course content and teaching delivery. However, the main challenge in analysing the qualitative feedback is the perceived increase in time and effort needed to manually process the textual comments. In this paper, we provide an automated solution for analysing comments, specifically extracting implicit suggestions from the students’ qualitative feedback comments. The implemented solution leverages existing text mining …

Using Data Analytics For Discovering Library Resource Insights: Case From Singapore Management University, Ning Lu, Rui Song, Dina Li Gwek Heng, Swapna Gottipati, Aaron Tay

Research Collection School Of Computing and Information Systems

Library resources are critical in supporting teaching, research and learning processes. Several universities have employed online platforms and infrastructure for enabling the online services to students, faculty and staff. To provide efficient services by understanding and predicting user needs libraries are looking into the area of data analytics. Library analytics in Singapore Management University is the project committed to provide an interface for data-intensive project collaboration, while supporting one of the library’s key pillars on its commitment to collaborate on initiatives with SMU Communities and external groups. In this paper, we study the transaction logs for user behavior analysis that …

Leveraging Auxiliary Tasks For Document-Level Cross-Domain Sentiment Classification, Jianfei Yu, Jing Jiang

Research Collection School Of Computing and Information Systems

In this paper, we study domain adaptationwith a state-of-the-art hierarchicalneural network for document-level sentimentclassification. We first design a newauxiliary task based on sentiment scoresof domain-independent words. We thenpropose two neural network architecturesto respectively induce document embeddingsand sentence embeddings that workwell for different domains. When thesedocument and sentence embeddings areused for sentiment classification, we findthat with both pseudo and external sentimentlexicons, our proposed methods canperform similarly to or better than severalhighly competitive domain adaptationmethods on a benchmark dataset of productreviews.

Btci: A New Framework For Identifying Congestion Cascades Using Bus Trajectory Data, Meng-Fen Chiang, Ee Peng Lim, Wang-Chien Lee, Agus Trisnajaya Kwee

Research Collection School Of Computing and Information Systems

The knowledge of traffic health status is essential to the general public and urban traffic management. To identify congestion cascades, an important phenomenon of traffic health, we propose a Bus Trajectory based Congestion Identification (BTCI) framework that explores the anomalous traffic health status and structure properties of congestion cascades using bus trajectory data. BTCI consists of two main steps, congested segment extraction and congestion cascades identification. The former constructs path speed models from historical vehicle transitions and design a non-parametric Kernel Density Estimation (KDE) function to derive a measure of congestion score. The latter aggregates congested segments (i.e., those with …

Multi-User Multi-Keyword Rank Search Over Encrypted Data In Arbitrary Language, Yang Yang, Ximeng Liu, Robert H. Deng

Research Collection School Of Computing and Information Systems

Multi-keyword rank searchable encryption (MRSE) returns the top-k results in response to a data user's request of multi-keyword search over encrypted data, and hence provides an efficient way for preserving data privacy in cloud storage systems while without loss of data usability. Many existing MRSE systems are constructed based on an algorithm which we term as k-nearest neighbor for searchable encryption (KNN-SE). Unfortunately, KNN-SE has a number of shortcomings which limit its practical applications. In this paper, we propose a new MRSE system which overcomes almost all the defects of the KNN-SE based MRSE systems. Specifically, our new system does …

A Compact Representation Of Human Actions By Sliding Coordinate Coding, Runwei Ding, Qianru Sun, Mengyuan Liu, Hong Liu

Research Collection School Of Computing and Information Systems

Human action recognition remains challenging in realistic videos, where scale and viewpoint changes make the problem complicated. Many complex models have been developed to overcome these difficulties, while we explore using low-level features and typical classifiers to achieve the state-of-the-art performance. The baseline model of feature encoding for action recognition is bag-of-words model, which has shown high efficiency but ignores the arrangement of local features. Refined methods compensate for this problem by using a large number of co-occurrence descriptors or a concatenation of the local distributions in designed segments. In contrast, this article proposes to encode the relative position of …

Pose Guided Person Image Generation, Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool

Research Collection School Of Computing and Information Systems

This paper proposes the novel Pose Guided Person Generation Network (PG$^2$) that allows to synthesize person images in arbitrary poses, based on an image of that person and a novel pose. Our generation framework PG^2 utilizes the pose information explicitly and consists of two key stages: pose integration and image refinement. In the first stage the condition image and the target pose are fed into a U-Net-like network to generate an initial but coarse image of the person with the target pose. The second stage then refines the initial and blurry result by training a U-Net-like generator in an adversarial …

Establishing The Theoretical Components Of Alexithymia Via Factor Analysis: Introduction And Validation Of The Attention-Appraisal Model Of Alexithymia, David Preece, Rodrigo Becerra, Alfred Allan, Ken Robinson, Justine Dandy

Research outputs 2014 to 2021

Alexithymia is an important mental health construct, but there is continuing debate regarding its definition and measurement. We attempt to resolve this definitional uncertainty in two ways. Firstly, we trace the development of the alexithymia construct, focusing particularly on what we call the Toronto and Amsterdam models, and examine a body of empirical research that shows strong support for the hypothesis that alexithymia consists of three components (difficulty identifying feelings, difficulty describing feelings, and externally orientated thinking). Based on these components, we formulate an alternate theoretical model of alexithymia, the attention-appraisal model of alexithymia, that aligns alexithymia theory with …