Digital Commons Network^™

Exploring Emirati Ninth Grade Students’ Use Of Edmodo In Learning English: A Mixed-Method Study, Amna Hamad Al Nuami

Theses

This mixed-method study is aimed at exploring the use of EDMODO by Emirati ninth grade female students (n = 97) who are studying English as a second language. In the first phase of the study, quantitative data were collected by using a questionnaire. Additionally, from the original pool, a subset of students (n = 11) were interviewed with regards to EDMODO usage in the classroom. The findings from this study revealed that ninth-grade students found EDMODO to be first and foremost an interesting and joyful learning experience; Second, they also reported it is an efficient platform for …

Mechanical Characterization And Fracture Behavior Of Magnesium Zk60a Alloy (Uns M16600), Mohamed Kamal I. H. Temraz

Theses

This research work focuses on studying the mechanical and fracture behavior of one of magnesium ZK60A (UNS M16600) extrusion. The material has many industrial applications and its characteristic should be measured for proper component or system design. Several tests were conducted following the standard procedures to determine the mechanical characteristics of the material. In addition, the fracture toughness of the material has been measured using the fracture toughness-thickness curve. A stress intensity factor K was used as a fracture parameter to determine the plane strain fracture toughness KIC of ZK60A magnesium alloy using a single edge notch bend (SENB) specimen …

Impact Of Leadership Styles On The Performance Of Virtual Teams In The Uae Government Sector: Assessment Of Transactional And Transformational Leadership Styles, Nama Salmeen Mabrouk Omar Al Ameri

Dissertations

The widespread availability of computers and the presence of ubiquitous internet has motivated organizations to acknowledge the potential role of virtual teams in reducing the cost of operations, increasing firm productivity, and creating flexible work environments. Consequently, most global firms are running their operations using multiple experts located remotely in different parts of the world (virtual teams) to plan, design, and implement projects and tasks. However, virtual teams face many challenges resulting from a lack of face-to-face contact. Based on existing relevant literature, this study contributes a unique insight into how some challenges surrounding virtual team performance might be addressed. …

Faculty Senate Chronicle For April 4, 2019, Heather M. Loughney

The University of Akron Faculty Senate Chronicle

No abstract provided.

“Flowing Along The Wall”: Anarcha-Feminist Bioethics And Resistance In Octavia E. Butler’S Dawn 2019., Theresa Mendez

Master's Theses

Science fiction (sf) texts conversant with the temporal play between past, present, and future push readers to imagine the extremes of human and environmental existence, interaction, and potential. Simultaneously, despite the sf genre’s tendency to traffic in extremes, these texts provoke readers to consider the ways in which these imagined worlds are grounded in history as well as in the contemporary social moment. As Donna Haraway has argued, “the boundary between science fiction and social reality is an optical illusion” (306). This illusory boundary must continue to be traversed in order to consider how sf literatures, particularly those which imagine …

The Role Of Plasmids And Clones In The Emergence Of Carbapenem Resistant Enterobacteriaceae In The United Arab Emirates, Shaimaa Fekry Mahmoud Mouftah Ali

Dissertations

Resistance to carbapenems, the ultimate beta-lactam antibiotics used to treat life-threatening Gram-negative infections associates with very high mortality. Consequently, carbapenem-resistant Enterobacteriaceae (CRE), which are usually multi- or extremely drug-resistant, is considered a critical pathogen. To help to control their spread, we investigated the molecular epidemiology of CRE in the United Arab Emirates (UAE) and its neighboring countries. CRE isolated in the UAE were screened for IncX3 incompatibility type plasmids carrying carbapenemases. The complete sequence of the IncX3 plasmids identified was established. Thirty CRE carried blaNDM-1, blaNDM-4, blaNDM-5, blaNDM-7, blaOXA-181, and blaKPC-2 on IncX3 plasmids. …

Perpetua, Volume 3, Issue 2, Spring 2019

Perpetua: The Journal of Undergraduate Research at UAH

No abstract provided.

Perspectives On The 21st Century Urban University From Singapore: A Viewpoint Forum, Jean-Paul D. Addie, Michele Acuto, K. C. Ho, Stephan Cairns, Hwee-Pink Tan

Research Collection School Of Computing and Information Systems

In this Cities viewpoint forum, we argue that there is a need to rethink U.S./U.K.-centric approaches to the urban university in policy and practice. Gathering three critical commentaries by practitioners from within the Singaporean higher education system, the forum responds to the challenges of: (1) broadened expectation placed on higher education institutions; (2) the pressures and possibilities of global urbanization; and (3) the provocation to theorize the urban, and thus the urban university, from beyond the 'Global North'. Following an introduction detailing the history and relevance of the Singaporean case, the three viewpoints seek to illustrate the various dimensions of …

Pinchlist: Leveraging Pinch Gestures For Hierarchical List Navigation On Smartphones, Teng Han, Jie Liu, Khalad Hasan, Mingming Fan, Junhyeok Kim, Jiannan Li, Xiangmin Fan, Feng Tian, Edward Lank, Pourang Irani

Research Collection School Of Computing and Information Systems

Intensive exploration and navigation of hierarchical lists on smartphones can be tedious and time-consuming as it often requires users to frequently switch between multiple views. To overcome this limitation, we present PinchList, a novel interaction design that leverages pinch gestures to support seamless exploration of multi-level list items in hierarchical views. With PinchList, sub-lists are accessed with a pinch-out gesture whereas a pinch-in gesture navigates back to the previous level. Additionally, pinch and flick gestures are used to navigate lists consisting of more than two levels. We conduct a user study to refine the design parameters of PinchList such as …

Combating Child Labor: Incentives And Information Disclosure In Global Supply Chains, Soo-Haeng Cho, Xin Fang, Sridhar Tayur, Ying Xu

Research Collection Lee Kong Chian School Of Business

Problem definition: We investigate multinational firms’ inspection and pricing strategies to address the challenges of combating child labor in global supply chains. We also examine how several factors (such as information disclosure, goodwill loss, inspection cost, external monitoring by nongovernmental organizations (NGOs), and penalty scheme) affect firms’ incentives to use different strategies to combat child labor. Academic/practical relevance: Nearly 200 million children are engaged in child labor, many in developing countries that are part of the supply base of global manufacturing networks. However, there has been little research on evaluating the impact of firms’ strategies and NGOs’ initiatives …

Neural Multimodal Belief Tracker With Adaptive Attention For Dialogue Systems, Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Multimodal dialogue systems are attracting increasing attention with a more natural and informative way for human-computer interaction. As one of its core components, the belief tracker estimates the user's goal at each step of the dialogue and provides a direct way to validate the ability of dialogue understanding. However, existing studies on belief trackers are largely limited to textual modality, which cannot be easily extended to capture the rich semantics in multimodal systems such as those with product images. For example, in fashion domain, the visual appearance of clothes play a crucial role in understanding the user's intention. In this …

Cure: Flexible Categorical Data Representation By Hierarchical Coupling Learning, Songlei Jian, Guansong Pang, Longbing Cao, Kai Lu, Hang Gao

Research Collection School Of Computing and Information Systems

The representation of categorical data with hierarchical value coupling relationships (i.e., various value-to-value cluster interactions) is very critical yet challenging for capturing complex data characteristics in learning tasks. This paper proposes a novel and flexible coupled unsupervised categorical data representation (CURE) framework, which not only captures the hierarchical couplings but is also flexible enough to be instantiated for contrastive learning tasks. CURE first learns the value clusters of different granularities based on multiple value coupling functions and then learns the value representation from the couplings between the obtained value clusters. With two complementary value coupling functions, CURE is instantiated into …

Unifying Knowledge Graph Learning And Recommendation: Towards A Better Understanding Of User Preferences, Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a KG is complete and simply transfer the ”knowledge” in KG at the shallow level of entity raw data or embeddings. This may lead to suboptimal performance, since a practical KG can hardly be complete, and it is common that a KG has missing facts, relations, and entities. Thus, we argue that it is crucial to consider the incomplete nature of KG when incorporating it into recommender system. In this paper, we jointly learn the model of recommendation …

Designated-Server Identity-Based Authenticated Encryption With Keyword Search For Encrypted Emails, Hongbo Li, Qiong Huang, Jian Shen, Guomin Yang, Willy Susilo

Research Collection School Of Computing and Information Systems

In encrypted email system, how to search over encrypted cloud emails without decryption is an important and practical problem. Public key encryption with keyword search (PEKS) is an efficient solution to it. However, PEKS suffers from the complex key management problem in the public key infrastructure. Its variant in the identity-based setting addresses the drawback, however, almost all the schemes does not resist against offline keyword guessing attacks (KGA) by inside adversaries. In this work we introduce the notion of designated-server identity-based authenticated encryption with keyword search (dIBAEKS), in which the email sender authenticates the message while encrypting so that …

Incarceration Or E-Carceration: California’S Sb 10 Bail Reform And The Potential Pitfalls For Pretrial Detainees, Ashley Mullen

Cornell Law Library Cantwell Prize for Exemplary Student Research Papers

California’s bail system not only infringes on individual rights, but also exacerbates a cobweb criminal justice system. The In re Humphrey court framed the issue perfectly when it stated that the problem with the bail system stems “from the enduring unwillingness of our society, including the courts, to correct a deformity in our criminal justice system that close observers have long considered a blight on the system.” California sought to rectify this “deformity” of a wealth-based bail system by passing SB 10 (the California Money Bail Reform Act of 2017).

This Note addresses the arguments that will likely be raised …

The Challenges Of Creating Engaging Content: Results From A Focus Group Study Of A Popular News Media Organization, Kholoud Khalil Aldous, Jisun An, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

The process of content creation for distribution via social media platforms is not a trivial one for social media editors as the goal of creating both serious and engaging content is challenging, with no clear or differing guidelines or rules across and between platforms. For creators of serious content, such as news organizations, advertisers, or educational institutions, engagement has a deeper meaning beyond likes, shares, etc. that is aimed at the audience actually processing the underlying content associated with a social media post. In this research, we report findings from a group study that aimed to understand the process and …

Learning Two-Layer Neural Networks With Symmetric Inputs, Rong Ge, Rohith Kuditipudi, Zhize Li, Xiang Wang

Research Collection School Of Computing and Information Systems

We give a new algorithm for learning a two-layer neural network under a very general class of input distributions. Assuming there is a ground-truth two-layer network $y = A \sigma(Wx) + \xi$, where A, W are weight matrices, $\xi$ represents noise, and the number of neurons in the hidden layer is no larger than the input or output, our algorithm is guaranteed to recover the parameters A, W of the ground-truth network. The only requirement on the input x is that it is symmetric, which still allows highly complicated and structured input. Our algorithm is based on the method-of-moments framework …

Witt: Querying Technology Terms Based On Automated Classification, Mathieu Nassif, Christoph Treude, Martin P. Robillard

Research Collection School Of Computing and Information Systems

Witt is a tool that systematically and automatically categorizes software technologies using original information extraction algorithms applied to Stack Overflow and Wikipedia. Witt takes as input a term, such as "django", and returns one or more categories that describe it (e.g., "framework"), along with attributes that further qualify it (e.g., "web-application"). Our comparative evaluation of Witt against six independent taxonomy tools showed that, when applied to software terms, Witt has better coverage than alternative solutions, without a corresponding degradation in the number of spurious results. The information extracted by Witt is available through the Witt Web Application, which allows users …

9.6 Million Links In Source Code Comments: Purpose, Evolution, And Decay, Hideaki Hata, Christoph Treude, Raula Gaikovina Kula, Takashi Ishio

Research Collection School Of Computing and Information Systems

Links are an essential feature of the World Wide Web, and source code repositories are no exception. However, despite their many undisputed benefits, links can suffer from decay, insufficient versioning, and lack of bidirectional traceability. In this paper, we investigate the role of links contained in source code comments from these perspectives. We conducted a large-scale study of around 9.6 million links to establish their prevalence, and we used a mixed-methods approach to identify the links' targets, purposes, decay, and evolutionary aspects. We found that links are prevalent in source code repositories, that licenses, software homepages, and specifications are common …

Automatically Generating Documentation For Lambda Expressions In Java, Anwar Alqaimi, Patanamon Thongtanunam, Christoph Treude

Research Collection School Of Computing and Information Systems

When lambda expressions were introduced to the Java programming language as part of the release of Java 8 in 2014, they were the language’s first step into functional programming. Since lambda expressions are still relatively new, not all developers use or understand them. In this paper, we first present the results of an empirical study to determine how frequently developers of GitHub repositories make use of lambda expressions and how they are documented. We find that 11% of Java GitHub repositories use lambda expressions, and that only 6% of the lambda expressions are accompanied by source code comments. We then …

Predicting Good Configurations For Github And Stack Overflow Topic Models, Christoph Treude, Markus Wagner

Research Collection School Of Computing and Information Systems

Software repositories contain large amounts of textual data, ranging from source code comments and issue descriptions to questions, answers, and comments on Stack Overflow. To make sense of this textual data, topic modelling is frequently used as a text-mining tool for the discovery of hidden semantic structures in text bodies. Latent Dirichlet allocation (LDA) is a commonly used topic model that aims to explain the structure of a corpus by grouping texts. LDA requires multiple parameters to work well, and there are only rough and sometimes conflicting guidelines available on how these parameters should be set. In this paper, we …

Sotorrent: Studying The Origin, Evolution, And Usage Of Stack Overflow Code Snippets, Sebastian Baltes, Christoph Treude, Stephan Diehl

Research Collection School Of Computing and Information Systems

Stack Overflow (SO) is the most popular questionand-answer website for software developers, providing a large amount of copyable code snippets. Like other software artifacts, code on SO evolves over time, for example when bugs are fixed or APIs are updated to the most recent version. To be able to analyze how code and the surrounding text on SO evolves, we built SOTorrent, an open dataset based on the official SO data dump. SOTorrent provides access to the version history of SO content at the level of whole posts and individual text and code blocks. It connects code snippets from SO …

Personalized Web Image Organization, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

Due to the problem of semantic gap, i.e. the visual content of an image may not represent its semantics well, existing efforts on web image organization usually transform this task to clustering the surrounding text. However, because the surrounding text is usually short and the words therein usually appear only once, existing text clustering algorithms can hardly use the statistical information for image representation and may achieve downgraded performance with higher computational cost caused by learning from noisy tags. This chapter presents using the Probabilistic ART with user preference architecture, as introduced in Sects. 3.5 and 3.4, for personalized web …

Online Multimodal Co-Indexing And Retrieval Of Social Media Data, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

Effective indexing of social media data is key to searching for information on the social Web. However, the characteristics of social media data make it a challenging task. The large-scale and streaming nature is the first challenge, which requires the indexing algorithm to be able to efficiently update the indexing structure when receiving data streams. The second challenge is utilizing the rich meta-information of social media data for a better evaluation of the similarity between data objects and for a more semantically meaningful indexing of the data, which may allow the users to search for them using the different types …

Peerlens: Peer-Inspired Interactive Learning Path Planning In Online Question Pool, Meng Xia, Mingfei Sun, Huan Wei, Qing Chen, Yong Wang, Lei Shi, Huamin Qu, Xiaojuan Ma

Research Collection School Of Computing and Information Systems

Online question pools like LeetCode provide hands-on exercises of skills and knowledge. However, due to the large volume of questions and the intent of hiding the tested knowledge behind them, many users find it hard to decide where to start or how to proceed based on their goals and performance. To overcome these limitations, we present PeerLens, an interactive visual analysis system that enables peer-inspired learning path planning. PeerLens can recommend a customized, adaptable sequence of practice questions to individual learners, based on the exercise history of other users in a similar learning scenario. We propose a new way to …

Socially-Enriched Multimedia Data Co-Clustering, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Heterogeneous data co-clustering is a commonly used technique for tapping the rich meta-information of multimedia web documents, including category, annotation, and description, for associative discovery. However, most co-clustering methods proposed for heterogeneous data do not consider the representation problem of short and noisy text and their performance is limited by the empirical weighting of the multimodal features. This chapter explains how to use the Generalized Heterogeneous Fusion Adaptive Resonance Theory (GHF-ART) generalized heterogeneous fusion adaptive resonance theory for clustering large-scale web multimedia documents. Specifically, GHF-ART is designed to handle multimedia data with an arbitrarily rich level of meta-information. For handling …

Clustering And Its Extensions In The Social Media Domain, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

This chapter summarizes existing clustering and related approaches for the identified challenges as described in Sect. 1.2 and presents the key branches of social media mining applications where clustering holds a potential. Specifically, several important types of clustering algorithms are first illustrated, including clustering, semi-supervised clustering, heterogeneous data co-clustering, and online clustering. Subsequently, Sect. 2.5 presents a review on existing techniques that help decide the value of the predefined number of clusters (required by most clustering algorithms) automatically and highlights the clustering algorithms that do not require such a parameter. It better illustrates the challenge of input parameter sensitivity of …

Concluding Remarks, Lei Meng, Ah-Hwee Tan, Donald C. Wunsch

Research Collection School Of Computing and Information Systems

This chapter summarizes the major contributions in this book and discusses their possible positions and requirements in some future scenarios. Section 8.1 follows the book structure to revisit the key contributions of this book in both theories and applications. The developed algorithms, such as the VA-ARTs for hyperparameter adaptation and the GHF-ART for multimedia representation and fusion, and the four applications, such as clustering and retrieving socially enriched multimedia data, are concentrated using one paragraph and three paragraphs, respectively. In Sect. 8.2, the roles of the proposed ART-embodied algorithms in social media clustering tasks are highlighted, and their possible evolutions …

Towards Zero Knowledge Learning For Cross Language Api Mappings, Duy Quoc Nghi Bui

Research Collection School Of Computing and Information Systems

Programmers often need to migrate programs from one language or platform to another in order to implement functionality, instead of rewriting the code from scratch. However, most techniques proposed to identify API mappings across languages and facilitate automated program translation require manually curated parallel corpora that contain already mapped API seeds or functionally-equivalent code using the APIs in two different languages so that the techniques can have an anchor to map APIs. To alleviate the need of curating parallel data and to generalize the applicability of program translation techniques, we develop a new automated approach for identifying API mappings across …

Faster: Fusion Analytics For Public Transport Event Response Industrial Applications Track, Sebastien Blandin, Laura Wynter, Hasan Poonawala, Sean Laguna, Basile Dura

Research Collection School Of Computing and Information Systems

The Autonomous Agents and Multiagent Systems (AAMAS) conference series gathers researchers from around the world to share the latest advances in the field. It is the premier forum for research in the theory and practice of autonomous agents and multiagent systems. AAMAS 2002, the first of the series, was held in Bologna, followed by Melbourne (2003), New York (2004), Utrecht (2005), Hakodate (2006), Honolulu (2007), Estoril (2008), Budapest (2009), Toronto (2010), Taipei (2011), Valencia (2012), Saint Paul (2013), Paris (2014), Istanbul (2015), Singapore (2016), São Paulo (2017) and Stockholm (2018). This volume is the proceedings of AAMAS 2019, the 18th …