Digital Commons Network^™

Introducing A Model For How Knowledge-Driven Agile Innovation Can Drive Digital Transformation In Firms, Lipika Bhattacharya, Clarence Goh, Gary Pan

Research Collection School Of Accountancy

Digital transformation often arises from the distribution of tasks among interdisciplinary teams of experts. One important factor that determines the success of digital transformation relates to an organization’s ability to innovate in an agile manner. In this article, we identify key drivers of digital transformation, which include organizational agility, knowledge management and innovation. Another crucial aspect of knowledge management relates to the coordination of knowledge. It is important for organizations to focus on knowledge coordination because the lack of coordination can dissuade them from meeting the demands for flexibility and speed during digital transformation, thereby negating the potential benefits from …

Family Still Matters: Human Social Motivation Across 42 Countries During A Global Pandemic, Cari M. Pick, Et. Al.

Research Collection School of Social Sciences

The COVID-19 pandemic caused drastic social changes for many, including separation from friends and coworkers, enforced close contact with family, reductions in mobility, and a number of other health-related precautions. Here we assess the extent to which people’s evolutionarilyrelevant basic motivations and goals—their fundamental social motives—might have been affected. To address this question, we gathered data on these motives in 42 countries (N=15,915) in two waves, including 19 countries (N=10,907) for which data were gathered both before and during the pandemic (Pre-pandemic wave: 32 countries, N=8998; 3302 male, 5585 female; Mage=24.43, SD=7.91; Mid-pandemic wave: 29 countries, N=6917; 2249 male, 4218 …

Intensive Family Observations: A Methodological Guide, Annette Lareau, Aliya Hamid Rao

Research Collection School of Social Sciences

There is a dearth of methodological guidance on how to conduct participant observation in private spaces such as family homes. Yet, participant observations can provide deep and valuable data about family processes. This article draws on two ethnographic studies of family life in which researchers conduct in-depth interviews, recruit families, and ultimately enter the family as a quasi-stranger for daily observations lasting a fixed period (e.g., three weeks). We term this approach "intensive family observations." Here, we provide concrete methodological advice for this method, beginning with guidelines for recruitment and gaining consent. We also discuss logistics of conducting family observation …

The Privacy Of Hak-Shing William Tam: Imagining Asian Families In California’S Proposition 8, Justin Kh Tse

Research Collection School of Social Sciences

In terms of Asian Americans whose reputations have been popularly derided, the concerned parent activist Hak-Shing William Tam perhaps ranks among the top. Tam was a citizen proponent of California’s Proposition 8 in 2008 to amend the state constitution to ban same-sex marriage and became a hostile witness for the plaintiffs in the subsequent 2010 lawsuit to overturn the amendment, Perry v. Schwarzenegger. In this paper, I explore Tam’s claim to privacy in his understanding of these events, both in terms of his sexualized imagination of liberal civil society and his suffering from what he understood as violations of his …

Infrastructure's (Supra)Sacralizing Effects: Contesting Littoral Spaces Of Fishing, Faith, And Futurity Along Sri Lanka's Western Coastline, Orlando Woods

Research Collection School of Social Sciences

This paper explores the ways in which infrastructural development can cause the sacred to become a source of political legitimacy, and sacred authority to become a politically charged construct. For resource-dependent communities, the ecological damage caused by infrastructural development can cause ostensibly profane issues to be imbued with sacred meaning and value. With sacralization comes the expectation that figures of sacred authority will campaign for justice on behalf of the communities that they represent. However, when the authority evoked comes from outside the boundaries of institutionalized religion, processes of suprasacralization come into play. By exploring infrastructure’s (supra)sacralizing effects, I demonstrate …

Does Trait Self-Esteem Serve As A Resilience Factor In Maintaining Affective Well-Being? Findings From Daily Diary Studies In Singapore And The United States, Matthew H. S. Ng, Verity Yu Qing Lua, Nadyanna M. Majeed, Andree Hartanto

Research Collection School of Social Sciences

Research suggests that self-esteem could be a protective factor in stressful or unfavorable situations. However, little research has been done on the buffering role of self-esteem in the context of daily stressors on affective reactivity. Three daily diary studies (of which two were conducted in Singapore and one in the United States) were carried out to examine this relationship. In all three studies, trait self-esteem was measured at baseline. Subsequently, daily assessment was conducted on exposure to daily stressors, and positive and negative affect for seven to eight days. Multilevel modeling showed that trait self-esteem did not moderate the relationship …

Young Singaporeans Abroad And Their Misguided Sense Of Superiority Towards S-E Asia, Lily Kong

Research Collection School of Social Sciences

In a commentary, SMU President and Lee Kong Chian Chair Professor of Social Sciences Lily Kong –whose research has focused over the decades on social and cultural change in Asian cities – discussed why young Singaporeans can have a misguided sense of superiority towards South-east Asia when they venture abroad. She explained how this could blind them to their neighbours’ hidden strengths. Prof Kong also shared that SMU has sought to actively vest in its students a sound appreciation of growth in Asia. To support this endeavour, the University is launching a series of overseas centres in selected South-east Asian …

Deliberate Errors Promote Meaningful Learning, Sarah Shi Hui Wong, Stephen Wee Hun Lim

Research Collection School of Social Sciences

Our civilization recognizes that errors can be valuable learning opportunities, but for decades, they have widely been avoided or, at best, allowed to occur as serendipitous accidents. The present research tested whether greater learning success could paradoxically be achieved through making errors by intentional design, relative to traditional errorless learning methods. We show that deliberately committing and correcting errors even when one knows the correct answers enhances learning—a counterintuitive phenomenon that we termed the derring effect. Across two experiments (N = 160), learners engaged in open-book study of scientific expository texts and were then tested on their retention and higher-order …

Buyer Beware: Avoiding Pitfalls When Buying Fine Art, Gerard Ng, Vincent Ooi

Research Collection Yong Pung How School Of Law

Our article introduces the reader to crucial concepts such as provenance, authenticity and ownership of fine art. It explains how one can check the established art databases and registers to conduct due diligence searches.We also explain the importance of a written contract for both buyers and sellers. The current common practice of transacting without a written contract can lead to considerable difficulties if issues with the artwork are discovered in the future.At the minimum, a contract should make it clear that the seller has the full responsibility for the accuracy of the provenance, particularly in cases where the artwork has …

Personal Comfort Models Based On A 6‐Month Experiment Using Environmental Parameters And Data From Wearables, Federico Tartarini, Stefano Schiavon, Matias Quintana, Clayton Miller

Research Collection College of Integrative Studies

Personal thermal comfort models are a paradigm shift in predicting how building occupants perceive their thermal environment. Previous work has critical limitations related to the length of the data collected and the diversity of spaces. This paper outlines a longitudinal field study comprising 20 participants who answered Right-Here-Right-Now surveys using a smartwatch for 180 days. We collected more than 1080 field-based surveys per participant. Surveys were matched with environmental and physiological measured variables collected indoors in their homes and offices. We then trained and tested seven machine learning models per participant to predict their thermal preferences. Participants indicated 58% of …

Exploring Latinx Parents’ Experiences With Special Education: Developing A Community-Based Workshop To Empower Latinx Parents Of Children In Special Education, Gabriela Alejandra Perez

Doctoral Dissertations

Parent involvement has been found to be predictive of successful student learning. Under the Individuals with Disabilities Education Act (IDEA), parents are required to be active participants in the development of their child’s special education. Latinx parents of children in special education face various challenges when it comes to parent involvement. A sample size of seven Latinx mothers with children in special education participated in this study, whose aim was to examine Latinx parents’ experiences in navigating the special education process and to identify and explore culturally responsive interventions that can increase parents’ participation and advocacy for their children with …

Running As A Way Fat Women Re-Story Their Bodies And Construct A Runner Identity In A North American Sociocultural Context, Jennifer M. Ohlendorf, Lisa Anders

College of Nursing Faculty Research and Publications

Aim

This research sought to identify the process by which women who identify as fat or as not having a typical athletic body construct an athletic identity and persist in their running and other athletic endeavors despite body size-related barriers.

Methods

From an online recruitment effort, 19 North American women runners in larger bodies completed interviews in which they told the story of how they had become runners. A narrative analysis with a feminist, constructivist approach was conducted to identify story types.

Results

Four narrative types were identified: reclaiming the body, reclaiming health, space-making, and future-imagining. Through finding a size- …

Cry Wolf, Olivia Claire Acosta

Electronic Theses and Dissertations

Cry Wolf is a confessional poetry collection told in three sections about at-work stalking. This collection also alludes to the Brothers Grimm fairytale, The Little Red Riding Hood. The sections of Cry Wolf include “The Wolf,” which introduces the speaker’s discovery of work-related stalking. The second section, entitled “The Fur,” is where the speaker empowers themselves to file a Title IX report about this dilemma, and Red cloaks herself in the wolf’s skin. The final portion of the collection, entitled “Red’s Home,” gives the audience a view of the speaker's self-love as they maintain it through trauma. This section also …

American Cochlear Implant Alliance Task Force Guidelines For Clinical Assessment And Management Of Adult Cochlear Implantation For Single-Sided Deafness, Margaret T. Dillon, Armine Kocharyan, Ghazal S. Daher, Matthew L. Carlson, William H. Shapiro, Hillary A. Snapp, Jill B. Firszt

2020-Current year OA Pubs

The indications for cochlear implantation have expanded to include individuals with profound sensorineural hearing loss in the impaired ear and normal hearing (NH) in the contralateral ear, known as single-sided deafness (SSD). There are additional considerations for the clinical assessment and management of adult cochlear implant candidates and recipients with SSD as compared to conventional cochlear implant candidates with bilateral moderate to profound sensorineural hearing loss. The present report reviews the current evidence relevant to the assessment and management of adults with SSD. A systematic review was also conducted on published studies that investigated outcomes of cochlear implant use on …

Association Of Atrial Septal Aneurysm And Shunt Size With Stroke Recurrence And Benefit From Patent Foramen Ovale Closure, Jean-Louis Mas, Jeffrey L Saver, Scott E Kasner, Jason Nelson, John D Carroll, Gilles Chatellier, Geneviève Derumeaux, Anthony J Furlan, Howard C Herrmann, Peter Jüni, Jong S Kim, Benjamin Koethe, Pil Hyung Lee, Benedicte Lefebvre, Heinrich P Mattle, Bernhard Meier, Mark Reisman, Richard W Smalling, Lars Sondergaard, Jae-Kwan Song, David E Thaler, David M Kent

Faculty, Staff and Student Publications

IMPORTANCE: The Patent Foramen Ovale (PFO)-Associated Stroke Causal Likelihood classification system combines information regarding noncardiac patient features (vascular risk factors, infarct topography) and PFO features (shunt size and presence of atrial septal aneurysm [ASA]) to classify patients into 3 validated categories of responsiveness to treatment with PFO closure. However, the distinctive associations of shunt size and ASA, alone and in combination, have not been completely delineated.

OBJECTIVE: To evaluate the association of PFO closure with stroke recurrence according to shunt size and/or the presence of an ASA.

DESIGN, SETTING, AND PARTICIPANTS: Pooled individual patient data from 6 randomized clinical trials …

In War And Peace: The Impact Of World Politics On Software Ecosystems, Raula Kula, Christoph Treude

Research Collection School Of Computing and Information Systems

Reliance on third-party libraries is now commonplace in contemporary software engineering. Being open source in nature, these libraries should advocate for a world where the freedoms and opportunities of open source software can be enjoyed by all. Yet, there is a growing concern related to maintainers using their influence to make political stances (i.e., referred to as protestware). In this paper, we reflect on the impact of world politics on software ecosystems, especially in the context of the ongoing War in Ukraine. We show three cases where world politics has had an impact on a software ecosystem, and how these …

Inception Transformer, Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan

Research Collection School Of Computing and Information Systems

Recent studies show that Transformer has strong capability of building long-range dependencies, yet is incompetent in capturing high frequencies that predominantly convey local information. To tackle this issue, we present a novel and general-purpose Inception Transformer, or iFormer for short, that effectively learns comprehensive features with both high- and low-frequency information in visual data. Specifically, we design an Inception mixer to explicitly graft the advantages of convolution and max-pooling for capturing the high-frequency information to Transformers. Different from recent hybrid frameworks, the Inception mixer brings greater efficiency through a channel splitting mechanism to adopt parallel convolution/max-pooling path and self-attention path …

Assessing Urinary Phenol And Paraben Mixtures In Pregnant Women With And Without Gestational Diabetes Mellitus: A Case-Control Study, Wei-Jen Chen, Candace Robledo, Erin M. Davis, Jean R. Goodman, Chao Xu, Jooyeon Hwang, Amanda E. Janitz, Tabitha Garwe, Antonia M. Calafat, Jennifer D. Peck

School of Medicine Publications

Prior studies have identified the associations between environmental phenol and paraben exposures and increased risk of gestational diabetes mellitus (GDM), but no study addressed these exposures as mixtures. As methods have emerged to better assess exposures to multiple chemicals, our study aimed to apply Bayesian kernel machine regression (BKMR) to evaluate the association between phenol and paraben mixtures and GDM.

This study included 64 GDM cases and 237 obstetric patient controls from the University of Oklahoma Medical Center. Mid-pregnancy spot urine samples were collected to quantify concentrations of bisphenol A (BPA), benzophenone-3, triclosan, 2,4-dichlorophenol, 2,5-dichlorophenol, butylparaben, methylparaben, and propylparaben. Multivariable …

Multi-Scale Hybridized Topic Modeling: A Pipeline For Analyzing Unstructured Text Datasets Via Topic Modeling, Keyi Cheng, Stefan Inzer, Adrian Leung, Xiaoxian Shen, Michael Perlmutter, Michael Lindstrom, Joyce Chew, Todd Presner, Deanna Needell

School of Mathematical & Statistical Sciences Faculty Publications

We propose a multi-scale hybridized topic modeling method to find hidden topics from transcribed interviews more accurately and efficiently than traditional topic modeling methods. Our multi-scale hybridized topic modeling method (MSHTM) approaches data at different scales and performs topic modeling in a hierarchical way utilizing first a classical method, Nonnegative Matrix Factorization, and then a transformer-based method, BERTopic. It harnesses the strengths of both NMF and BERTopic. Our method can help researchers and the public better extract and interpret the interview information. Additionally, it provides insights for new indexing systems based on the topic level. We then deploy our method …

Impact Of Ethnicity On Parental Health Outcomes And Experiences After Paediatric Intensive Care Unit Discharge: A Mixed-Methods Systematic Review, Pei Fen Poh, Matthew C. Carey, Jan Hau Lee, Joseph C. Manning, Jos M. Latour

School of Nursing and Midwifery

The impact of ethnicity on parental health outcome after paediatric intensive care unit (PICU) discharge remains unclear. Thirteen medical and healthcare databases, unpublished studies and grey literature were searched up to November 5, 2021. We performed a mixed-method systematic review to understand the impact of ethnicity on parental outcomes after PICU discharge, including eight quantitative and eight qualitative studies. Among 1529 parents included, 1064 (72%) were White. Higher prevalence of post-traumatic stress disorder was seen in Black parents (17% White vs 36% Black, p = .03). Latino ethnicity was found to have protective effect against anxiety as compared to White …

Evidence For The Effects Of Decommissioning Man-Made Structures On Marine Ecosystems Globally: A Systematic Map, Anaëlle J. Lemasson, Paul J. Somerfield, Michaela Schratzberger, Caroline Louise Mcneill, Joana Nunes, Christine Pascoe, Stephen C.L. Watson, Murray S.A. Thompson, Elena Couce, Antony M. Knights

School of Biological and Marine Sciences

Background: Many marine man-made structures (MMS), such as oil and gas platforms or offshore wind turbines, are nearing their ‘end-of-life’ and require decommissioning. Limited understanding of MMS decommissioning effects currently restricts the consideration of alternative management possibilities, often leaving complete removal as the only option in certain parts of the world. This evidence-base describes the ecosystem effects of marine MMS whilst in place and following cessation of operations, with a view to informing decision-making related to their potential decommissioning. Method: The protocol used to create this map was published a priori. Systematic searches of published, literature in English were conducted …

In-Vitro Cell Culture Model To Determine Toxic Effects Of Soil Arsenic Due To Direct Dermal Exposure, Manas Warke, Madeline English, Laura De Marchi, Rohan Deep Sarkar, Srinivas Kannan, Rupali Datta, Smitha Rao

Michigan Tech Publications, Part 1

Arsenic (As) is one of the most toxic environmental pollutants, classified as a Class I carcinogen. Anthropogenic activities have led to an increase in As contamination of soils. Using animal models to study the health impacts of As is time and cost-prohibitive, hence attempts have been made to develop in-vitro cell culture models. However, most studies so far have not represented realistic environmental exposure conditions. We exposed Human Immortalized Keratinocyte (HaCaT) and Primary Human Dermal Fibroblasts (HDFa) cells to the water-soluble fraction of arsenic extracted from As spiked Immokalee soil to study the effect of soil As on skin cells. …

Social Ecological Influences On Treatment Decision-Making In Men Diagnosed With Low Risk, Localised Prostate Cancer, Megan Mcintosh, Melissa J. Opozda, Camille E. Short, Daniel A. Galvão, Rebecca Tutino, Michael Diefenbach, Behfar Ehdaie, Christian Nelson

Research outputs 2022 to 2026

Objective: Individuals diagnosed with low risk, localised prostate cancer (PCa) face a difficult decision between active surveillance (AS) and definitive treatment. We aimed to explore perceived influences on treatment decision-making from the patient and partner's perspectives. Methods: Patients (and partners) who met AS criteria and had chosen their treatment were recruited. Semi-structured individual interviews were conducted via telephone to explore experiences of diagnosis, impact on patient lifestyle, experiences with physicians, treatment preferences/choice, treatment information understanding and needs, and overall decision-making process. Interviews were audio recorded, transcribed verbatim, and analysed using Reflexive Thematic Analysis. Results: Twenty-four male patients (18 chose AS) …

Discovery Of Two Inhibitors Of The Type Iv Pilus Assembly Atpase Pilb As Potential Antivirulence Compounds, Keane J. Dye, Nancy J. Vogelaar, Megan O'Hara, Pablo Sobrado, Webster Santos, Paul R. Carlier, Zhaomin Yang

Chemistry Faculty Research & Creative Works

With the pressing antibiotic resistance pandemic, Anti virulence has been increasingly explored as an alternative strategy against bacterial infections. The bacterial type IV pilus (T4P) is a well-documented virulence factor and an attractive target for small molecules for Anti virulence purposes. The PilB ATPase is essential for T4P biogenesis because it catalyzes the assembly of monomeric pilins into the polymeric pilus filament. Here, we describe the identification of two PilB inhibitors by a high-throughput screen (HTS) in vitro and their validation as effective inhibitors of T4P assembly in vivo. We used Chloracidobacterium thermophilum PilB as a model enzyme to optimize …

Graph Neural Network With Self-Attention And Multi-Task Learning For Credit Default Risk Prediction, Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

We propose a graph neural network with self-attention and multi-task learning (SaM-GNN) to leverage the advantages of deep learning for credit default risk prediction. Our approach incorporates two parallel tasks based on shared intermediate vectors for input vector reconstruction and credit default risk prediction, respectively. To better leverage supervised data, we use self-attention layers for feature representation of categorical and numeric data; we further link raw data into a graph and use a graph convolution module to aggregate similar information and cope with missing values during constructing intermediate vectors. Our method does not heavily rely on feature engineering work and …

Recipegen++: An Automated Trigger Action Programs Generator, Imam Nur Bani Yusuf, Diyanah Abdul Jamal, Lingxiao Jiang, David Lo

Research Collection School Of Computing and Information Systems

Trigger Action Programs (TAPs) are event-driven rules that allow users to automate smart-devices and internet services. Users can write TAPs by specifying triggers and actions from a set of predefined channels and functions. Despite its simplicity, composing TAPs can still be challenging for users due to the enormous search space of available triggers and actions. The growing popularity of TAPs is followed by the increasing number of supported devices and services, resulting in a huge number of possible combinations between triggers and actions. Motivated by such a fact, we improve our prior work and propose RecipeGen++, a deep-learning-based approach that …

Autopruner: Transformer-Based Call Graph Pruning, Cong Thanh Le, Hong Jin Kang, Truong Giang Nguyen, Stefanus Agus Haryono, David Lo, Xuan-Bach D. Le, Huynh Quyet Thang

Research Collection School Of Computing and Information Systems

Constructing a static call graph requires trade-offs between soundness and precision. Program analysis techniques for constructing call graphs are unfortunately usually imprecise. To address this problem, researchers have recently proposed call graph pruning empowered by machine learning to post-process call graphs constructed by static analysis. A machine learning model is built to capture information from the call graph by extracting structural features for use in a random forest classifier. It then removes edges that are predicted to be false positives. Despite the improvements shown by machine learning models, they are still limited as they do not consider the source code …

Efficient Navigation For Constrained Shortest Path With Adaptive Expansion Control, Wenwen Xia, Yuchen Li, Wentian Guo, Shenghong Li

Research Collection School Of Computing and Information Systems

In many route planning applications, finding constrained shortest paths (CSP) is an important and fundamental problem. CSP aims to find the shortest path between two nodes on a graph while satisfying a path constraint. Solving CSPs requires a large search space and is prohibitively slow on large graphs, even with the state-of-the-art parallel solution on GPUs. The reason lies in the lack of effective navigational information and pruning strategies in the search procedure. In this paper, we propose SPEC, a Shortest Path Enhanced approach for solving the exact CSP problem. Our design rationales of SPEC rely on the observation that …

Basalt Fibers For Underwater Fatigue Repair Of Steel Panels, Guillermo Riveros, Emad M. Hassan, Lauren Hudak, Hussam Mahmoud

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Fatigue damage is a major threat to the safety and integrity of many steel structures. Steel hydraulic structures (SHS), in particular, experience fatigue loading during operation and are exposed to harsh environmental conditions that can further reduce fatigue life through mechanisms. The traditional inspection and repair process for SHS is time-consuming and leads to economic losses. Studies investigating the behavior and advantages of using bonded carbon fiber-reinforced polymer (CFRP) to repair fatigue cracks in SHS are lacking. The main objectives of this study are to increase the bonding of CFRP, investigate the effectiveness of different fiber-reinforced polymers, and test different …

Addictive Social Media Use: Examination Of The Psychometric Properties Of The Arabic Bergen Social Media Addiction Scale And The Mediational Role Of Sense Of Control In The Relationship Between Depression And Social Media Addiction, Louis J. Fourie

Theses

The period of COVID-19 has proven to be a turbulent period where extreme psychological trends can be examined due to lockdown procedures, social isolation, and public fear. The use of technology such as social media has increased with research highlighting the harm of overuse. The purpose of the current study is to investigate the psychometric properties of an Arabic translated version of the Bergen Social Media Addiction Scale (BSMAS) to assess for addictive social media use. Secondly, the study further examines the association between depression, social media addiction, and an individual’s sense of control. Specifically, the potential mediational role of …