Digital Commons Network^™

Hybrid Epicardial-Endocardial Ablation For Long-Standing Persistent Atrial Fibrillation: A Subanalysis Of The Converge Trial., David B Delurgio, Christopher Blauth, Michael E Halkos, Karl J Crossen, David Talton, Saumil R Oza, Anthony R Magnano, Mark A Mostovych, Sreedhar Billakanty, Steven Duff, Christopher Stees, Jason Sperling, Syed Ahsan, John Yap, Christian Shults, David Pederson, James Garrison, Paul Tabereaux, David M Gilligan, Graham Bundy, Otto Costantini, Eric Espinal, Angelo La Pietra, Felix Yang, Yisachar Greenberg, Israel Jacobowitz, Jaswinder Gill

Heart and Vascular Articles

BACKGROUND: Favorable clinical outcomes are difficult to achieve in long-standing persistent atrial fibrillation (LSPAF) with catheter ablation (CA). The CONVERGE (Convergence of Epicardial and Endocardial Ablation for the Treatment of Symptomatic Persistent Atrial FIbrillation) trial evaluated the effectiveness of hybrid convergent (HC) ablation vs endocardial CA.

OBJECTIVE: The study sought to evaluate the safety and effectiveness of HC vs CA in the LSPAF subgroup from the CONVERGE trial.

METHODS: The CONVERGE trial was a prospective, multicenter, randomized trial that enrolled 153 patients at 27 sites. A post hoc analysis was performed on LSPAF patients. The primary effectiveness was freedom from …

Structural Valve Deterioration After Self-Expanding Transcatheter Or Surgical Aortic Valve Implantation In Patients At Intermediate Or High Risk., Daniel O'Hair, Steven J Yakubov, Kendra J Grubb, Jae K Oh, Saki Ito, G Michael Deeb, Nicolas M Van Mieghem, David H Adams, Tanvir Bajwa, Neal S Kleiman, Stanley Chetcuti, Lars Søndergaard, Hemal Gada, Mubashir Mumtaz, John Heiser, William M Merhi, George Petrossian, Newell Robinson, Gilbert H L Tang, Joshua D Rovin, Stephen H Little, Renuka Jain, Sarah Verdoliva, Tim Hanson, Shuzhen Li, Jeffrey J Popma, Michael J Reardon

Heart and Vascular Articles

IMPORTANCE: The frequency and clinical importance of structural valve deterioration (SVD) in patients undergoing self-expanding transcatheter aortic valve implantation (TAVI) or surgery is poorly understood.

OBJECTIVE: To evaluate the 5-year incidence, clinical outcomes, and predictors of hemodynamic SVD in patients undergoing self-expanding TAVI or surgery.

DESIGN, SETTING, AND PARTICIPANTS: This post hoc analysis pooled data from the CoreValve US High Risk Pivotal (n = 615) and SURTAVI (n = 1484) randomized clinical trials (RCTs); it was supplemented by the CoreValve Extreme Risk Pivotal trial (n = 485) and CoreValve Continued Access Study (n = 2178). Patients with severe aortic valve …

Understanding The Qualities Of An Effective Fieldwork Experience And How It Relates To Pre-Service Teachers' Feelings Of Self-Efficacy And Preparedness, Renata Olczak Filipowicz

Theses & Dissertations

The effectiveness of teacher-preparation programs to produce high-quality teachers has been an issue of concern for a long time. Teachers play a significant role in shaping students’ academic achievement and social-emotional growth. Therefore, it is critical to focus on how teacher education programs, especially the field placement component, develop and support new educators. This explanatory mixed-methods study used a theoretical framework of Albert Bandura’s Self-Efficacy Theory (1977) and Pierre Bourdieu’s Cultural Capital Theory (1986) to examine the qualities of an effective practical residency experience and how it relates to preservice teachers’ feelings of self-efficacy and preparedness for teaching diverse students …

Who's Afraid Of Universals?, Atreyee Majumder, Manhar Bansal

Popular Media

In this episode, a professor-student pair, Dr. Atreyee Majumder and Manhar Bansal, provide a glimpse into their ongoing conversation on the enduring role of universal categories and their relationship to anthropological knowledge. In light of the discomfort around universals in contemporary social sciences, they offer the provocation: can there be universals beyond those of capitalist modernity? They talk about the dominant time-space compression account of modernity, the possibility of uncovering other, more liberating and revolutionary temporalities, and the fun of doing theory in anthropology. They argue for the need to revisit the question of universal categories to think through our …

Future Aware Pricing And Matching For Sustainable On-Demand Ride Pooling, Xianjie Zhang, Pradeep Varakantham, Hao Jiang

Research Collection School Of Computing and Information Systems

The popularity of on-demand ride pooling is owing to the benefits offered to customers (lower prices), taxi drivers (higher revenue), environment (lower carbon footprint due to fewer vehicles) and aggregation companies like Uber (higher revenue). To achieve these benefits, two key interlinked challenges have to be solved effectively: (a) pricing – setting prices to customer requests for taxis; and (b) matching – assignment of customers (that accepted the prices) to taxis/cars. Traditionally, both these challenges have been studied individually and using myopic approaches (considering only current requests), without considering the impact of current matching on addressing future requests. In this …

Solving Large-Scale Pursuit-Evasion Games Using Pre-Trained Strategies, Shuxin Li, Xinrun Wang, Youzhi Zhang, Wanqi Xue, Jakub Cerny, Bo An

Research Collection School Of Computing and Information Systems

Pursuit-evasion games on graphs model the coordination of police forces chasing a fleeing felon in real-world urban settings, using the standard framework of imperfect-information extensive-form games (EFGs). In recent years, solving EFGs has been largely dominated by the Policy-Space Response Oracle (PSRO) methods due to their modularity, scalability, and favorable convergence properties. However, even these methods quickly reach their limits when facing large combinatorial strategy spaces of the pursuit-evasion games. To improve their efficiency, we integrate the pre-training and fine-tuning paradigm into the core module of PSRO -- the repeated computation of the best response. First, we pre-train the pursuer's …

Encapsulation Of Orange Peel Oil In Biopolymeric Nanocomposites To Control Its Release Under Different Conditions, Sanaz Ghasemi, Elham Assadpour, Mohammad Saeed Kharazmi, Shima Jafarzadeh, Masoumeh Zargar, Seid Mahdi Jafari

Research outputs 2022 to 2026

Orange peel oil (OPO) is one of the most common flavorings used in the food industry, but it is volatile under environmental conditions (the presence of light, oxygen, humidity, and high temperatures). Encapsulation by biopolymer nanocomposites is a suitable and novel strategy to improve the bioavailability and stability of OPO and its controlled release. In this study, we investigated the release profile of OPO from freeze-dried optimized nanocomposite powders as a function of pH (3, 7, 11) and temperature (30, 60, and 90 °C), and within a simulated salivary system. Finally, its release kinetics modelling was performed using experimental models. …

Lightweight And Non-Invasive User Authentication On Earables, Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang

Research Collection School Of Computing and Information Systems

The widespread adoption of wireless earbuds has advanced the developments in earable-based sensing in various domains like entertainment, human-computer interaction, and health monitoring. Recently, researchers have shown an increased interest in user authentication using earables. Despite the successes witnessed in acoustic probing and speech based authentication systems, this paper proposed a lightweight and non-invasive ambient sound based user authentication scheme. It employs the difference between the in-ear and out-ear sounds to estimate the individual-specific occluded ear canal transfer function (OECTF). Specifically, the {out-ear, in-ear} scaling factors at different frequency bands are captured via linear regression and treated as the OECTF …

Scalable And Globally Optimal Generalized L1 K-Center Clustering Via Constraint Generation In Mixed Integer Linear Programming, Aravinth Chembu, Scott Sanner, Hassan Khurran, Akshat Kumar

Research Collection School Of Computing and Information Systems

The k-center clustering algorithm, introduced over 35 years ago, is known to be robust to class imbalance prevalent in many clustering problems and has various applications such as data summarization, document clustering, and facility location determination. Unfortunately, existing k-center algorithms provide highly suboptimal solutions that can limit their practical application, reproducibility, and clustering quality. In this paper, we provide a novel scalable and globally optimal solution to a popular variant of the k-center problem known as generalized L_1 k-center clustering that uses L_1 distance and allows the selection of arbitrary vectors as cluster centers. We show that this clustering objective …

Mitigating Popularity Bias For Users And Items With Fairness-Centric Adaptive Recommendation, Zhongzhou Liu, Yuan Fang, Min Wu

Research Collection School Of Computing and Information Systems

Recommendation systems are popular in many domains. Researchers usually focus on the effectiveness of recommendation (e.g., precision) but neglect the popularity bias that may affect the fairness of the recommendation, which is also an important consideration that could influence the benefits of users and item providers. A few studies have been proposed to deal with the popularity bias, but they often face two limitations. Firstly, most studies only consider fairness for one side - either users or items, without achieving fairness jointly for both. Secondly, existing methods are not sufficiently tailored to each individual user or item to cope with …

Flexible Job-Shop Scheduling Via Graph Neural Network And Deep Reinforcement Learning, Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges in dealing with flexibility, which allows an operation to be scheduled on one out of multiple machines and is often required in practice. Such one-to-many relationship brings additional complexity in both decision making and state representation. This article considers the well-known flexible job-shop scheduling problem and addresses these issues by proposing a novel DRL method to learn high-quality PDRs end to end. The operation selection and the machine assignment are combined as a composite decision. …

Marijuana Liberalization And Public Finance: A Capital Market Perspective On The Passage Of Medical Use Laws, Stephanie F. Cheng, Gus De Franco, Pengkai Lin

Research Collection School Of Accountancy

We find that the staggered passage of state-level laws that legalize marijuana for medical use increases states' borrowing costs by 7–9 basis points. Consistent with economic theory on substance use suggesting that marijuana legalization increases local consumption of the drug (by expanding its availability and reducing its perceived risks), we predict and find that increased consumption represents an important mechanism that explains the higher state bond spreads. We also show that following such laws’ passage, states incur higher marijuana-consumption-related expenditures, including for police, corrections, and public welfare.

Untangling The Additive And Multiplicative Relations Between Natural Scenery Exposure And Human-Animal Interaction On Affective Well-Being: Evidence From Daily Diary Studies, Adalia Yin Hui Goh, Shu Min Chia, Nadyanna M. Majeed, Nicole R.Y. Chen, Andree Hartanto

Research Collection School of Social Sciences

Built nature spaces have been increasingly integrated into our urban environments in recent years with the aim of reaping their psychological benefits. However, despite numerous works of research on the relationship between nature exposure and well-being, most studies have looked into the benefits of well-being from the lens of isolated elements of nature, such as natural scenery or animal exposure. This study aims to fill in the gaps by examining the additive and multiplicative relationships between natural scenery exposure and human–animal interaction on affective well-being (i.e., positive affect, negative affect, and stress) through a daily diary study. Over seven days, …

Executive Function Deficits And Borderline Personality Disorder Symptomatology In A Nonclinical Adult Sample: A Latent Variable Analysis, Keisha D. Veerapandian, Gabriel X. D. Tan, Nadyanna M. Majeed, Andree Hartanto

Research Collection School of Social Sciences

While borderline personality disorder (BPD) symptomatology has been studied extensively in clinical populations, the mechanisms underlying its manifestation in nonclinical populations remain largely understudied. One aspect of BPD symptomatology in nonclinical populations that has not been well studied is cognitive mechanisms, especially in relation to executive functions. To explore the cognitive mechanisms underlying BPD symptomatology in nonclinical populations, we analysed a large-scale dataset of 233 young adults that were administered with nine executive function tasks and BPD symptomatology assessments. Our structural equation modelling did not find any significant relations between latent factors of executive functions and the severity of BPD …

A Narrative Review Of Screen Time And Wellbeing Among Adolescents Before And During The Covid-19 Pandemic: Implications For The Future, Verity Yu Qing Lua, Terence B. K. Chua, Michael Y. H. Chia

Research Collection School of Social Sciences

The COVID-19 pandemic has disrupted the lives of many. In particular, during the height of the pandemic, many experienced lockdowns, which in turn increased screen time drastically. While the pandemic has been declared an endemic and most activities have been reinstated, there appears to still be elevated screen time among adolescents due to poor habits formed during the pandemic lockdowns. This paper explores the factors by which screen time affects well-being among adolescents and how the pandemic may have influenced some of these factors. For example, beyond having greater screen time, many adolescents have also reduced their physical activities and …

Effects Of Positive Reappraisal And Self-Distancing On The Meaningfulness Of Everyday Negative Events, Clement Yong Hao Lau, William Tov

Research Collection School of Social Sciences

Current work on meaning-making has primarily focused on major negative life events such as trauma and loss, leaving common daily adversities unexplored. This study aimed to examine how utilizing meaning-making strategies such as positive reappraisal and self-distancing (in isolation or in combination) can facilitate an adaptive processing of these daily negative experiences. Overall meaning and facets of meaning (coherence, purpose, and significance/mattering) were assessed at both global and situational levels. Results suggested that positive reappraisal was generally effective for enhancing situational meaning but not under all conditions. Specifically, when negative experiences were high on emotional intensity, reflecting on the experience …

The Health And Social Impacts Of An Ageing Population In Singapore, And Why It Matters, Paulin Tay Straughan, Chongsheng, Micah (Chen Chongsheng) Tan

Research Collection School of Social Sciences

Singapore’s population is ageing rapidly, with the National Population and Talent Division estimating that about one in four Singaporeans will be aged 65 and above by 2030 (National Population and Talent Division 2022). It is anticipated that these demographic changes will have wide-reaching implications for the country that will span all sectors and dimensions of society. In this article, we focus in on two specific dimensions of the impact that an ageing population will have for society; health and social impacts. Using data from the Singapore Life Panel® (SLP) that has been running for the past seven years at the …

Using Virtual Simulations Of Future Extreme Weather Events To Communicate Climate Change Risk, Terry Van Gevelt, Brian G. Mcadoo, Jie Yang, Linlin Li, Fiona Williamson, Alex Scollay, Aileen Lam, Kwan Nok Chan, Adam D. Switzer

Research Collection College of Integrative Studies

Virtual simulations of future extreme weather events may prove an effective vehicle for climate change risk communication. To test this, we created a 3D virtual simulation of a future tropical cyclone amplified by climate change. Using an experimental framework, we isolated the effect of our simulation on risk perceptions and individual mitigation behaviour for a representative sample (n = 1507) of the general public in Hong Kong. We find that exposure to our simulation is systematically associated with a relatively small decrease in risk perceptions and individual mitigation behaviour. We suggest that this is likely due to climate change scepticism, …

The City Never Sleeps: But When Will Investment Banks Wake Up To The Climate Crisis?, Theodor Florian Cojoianu, Andrea G. F. Hoepner, Fabiola I. Schneider, Michael Urban, Anh Vu, Dariusz Wojcik

Research Collection College of Integrative Studies

Using a global dataset of over 840,000 equity, bond and syndicated loan investment banking deals, we build the fossil fuel investment brokerage profile of financial centres worldwide between 2000 and 2018. We also study whether city-level fossil fuel divestment commitments and country-level green banking policies impact the profile of fossil fuel financial centres over our study timeframe. We find that several financial centres shift their fossil fuel investment brokerage profiles substantially, including the asset classes in which they are active. However, we do not find any evidence that this is driven by city-level divestment commitments. In contrast, we find that …

Confucius, Wisdom, And Political Participation: Benevolence And Timeliness In The Analects, Sydney Morrow, Shane Ryan

Research Collection School of Social Sciences

This paper aims to address when the wise person should participate in politics. The question is addressed through engagement with the Analects. Rather than provide interpretations of key terms in the Analects, we provide an account of wisdom that draws from themes in the Analects. The case is made that the wise person is committed to participating in politics primarily because of the connection between wisdom and benevolence (ren 仁 in the Analects). We address challenges to the Confucian approach from the Zhuangzi concerning the potential harms of political participation. General political disengagement is not considered exemplary on the Confucian …

Mirror: Mining Implicit Relationships Via Structure-Enhanced Graph Convolutional Networks, Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi

Research Collection School Of Computing and Information Systems

Data explosion in the information society drives people to develop more effective ways to extract meaningful information. Extracting semantic information and relational information has emerged as a key mining primitive in a wide variety of practical applications. Existing research on relation mining has primarily focused on explicit connections and ignored underlying information, e.g., the latent entity relations. Exploring such information (defined as implicit relationships in this article) provides an opportunity to reveal connotative knowledge and potential rules. In this article, we propose a novel research topic, i.e., how to identify implicit relationships across heterogeneous networks. Specially, we first give a …

Real-Time Hierarchical Map Segmentation For Coordinating Multi-Robot Exploration, Tianze Luo, Zichen Chen, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Coordinating a team of autonomous agents to explore an environment can be done by partitioning the map of the environment into segments and allocating the segments as targets for the individual agents to visit. However, given an unknown environment, map segmentation must be conducted in a continuous and incremental manner. In this paper, we propose a novel real-time hierarchical map segmentation method for supporting multi-agent exploration of indoor environments, wherein clusters of regions of segments are formed hierarchically from randomly sampled points in the environment. Each cluster is then assigned with a cost-utility value based on the minimum cost possible …

Southern Educator, Georgia Southern University

College of Education: News & Publications (2003-2023)

Certification now Easier for Paraprofessionals

COE Earns CAEP Accreditation

Undergraduate Assists in District-wide Project Eaglet

Building Beautiful Bridges over Educational Gaps

Deliberate Erring Improves Far Transfer Of Learning More Than Errorless Elaboration And Spotting And Correcting Others' Errors, Sarah Shi Hui Wong

Research Collection School of Social Sciences

Transfer of learning is a fundamental goal of education but is challenging to achieve, especially where far transfer to remote contexts is at stake. How can we improve learners’ flexible application of knowledge to distant domains? In a counterintuitive phenomenon termed the derring effect, deliberately committing and correcting errors in low-stakes contexts enhances learning more than avoiding errors. Whereas this benefit has been demonstrated with tests in domains similar to those in the initial learning task, the present set of three experiments (N = 120) investigated whether deliberate erring boosts far transfer of conceptual knowledge to dissimilar domains. Undergraduates studied …

What Are The Relationships Between Public Transit And Gentrification Progress? An Empirical Study In The New York-Northern New Jersey-Long Island Areas, Yefu Chen, Hao Xi, Junfeng Jiao

Research Collection College of Integrative Studies

Transit-oriented development has been a widely accepted tool among transportation planning practitioners; however, there are concerns about the risk of increasing residential property values leading to gentrification or displacements. Therefore, it is critical to provide precise investigations of the relationships between public transit and gentrification. Although numerous studies have explored this topic, few have discussed these relationships based on detailed measurements of gentrification from a regional perspective. This study aims to fill the research gap by measuring the gentrification subcategories through a hierarchical definition based on data in the New York–Northern New Jersey–Long Island areas and applying the transit desert …

District-Scale Surface Temperatures Generated From High-Resolution Longitudinal Thermal Infrared Images, Subin Lin, Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan, Adrian Chong, Filip Biljecki, Marcel Ignatius, Clayton Miller, Clayton Miller

Research Collection College of Integrative Studies

This paper describes a dataset collected by infrared thermography, a non-contact, non-intrusive technique to acquire data and analyze the built environment in various aspects. While most studies focus on the city and building scales, an observatory installed on a rooftop provides high temporal and spatial resolution observations with dynamic interactions on the district scale. The rooftop infrared thermography observatory with a multi-modal platform capable of assessing a wide range of dynamic processes in urban systems was deployed in Singapore. It was placed on the top of two buildings that overlook the outdoor context of the National University of Singapore campus. …

Enhanced Convolutional Neural Network For Non-Small Cell Lung Cancer Classification, Yahya Tashtoush, Rasha Obeidat, Abdallah Al-Shorman, Omar Darwish, Mohammad A. Al-Ramahi, Dirar Darweesh

Computer Information Systems Faculty Publications (Archived)

Lung cancer is a common type of cancer that causes death if not detected
early enough. Doctors use computed tomography (CT) images to diagnose
lung cancer. The accuracy of the diagnosis relies highly on the doctor's
expertise. Recently, clinical decision support systems based on deep learning
valuable recommendations to doctors in their diagnoses. In this paper, we
present several deep learning models to detect non-small cell lung cancer in
CT images and differentiate its main subtypes namely adenocarcinoma,
large cell carcinoma, and squamous cell carcinoma. We adopted standard
convolutional neural networks (CNN), visual geometry group-16 (VGG16),
and VGG19. Besides, we …

Assessment Of Efficacy And Mechanism Of Resistance To Soil-Applied Ppo Inhibitors In Amaranthus Palmeri, Gulab Rangani, Aimone Perri, Reiofeli A. Salas-Perez, Jens Lerchl, Srikanth Kumar Karaikal, Juan Camilo Velásquez, Nilda Roma-Burgos

Crop, Soil and Environmental Sciences Faculty Publications and Presentations

Resistance to protoporphyrinogen oxidase (PPO) inhibitors in Palmer amaranth is a major concern, given the high selection pressure and increasing number of populations with reduced sensitivity to PPO herbicides in the US. We evaluated the effect of five soil-applied herbicides on Palmer amaranth (Amaranthus palmeri S. Wats.) populations collected in 2014 and 2015 in Arkansas, USA. Soil-applied saflufenacil, sulfentrazone, and flumioxazin reduced the seedling emergence 91–100%; however, fomesafen and oxyfluorfen showed reduced (63–90%) efficacy on some populations. Target-site mutation (TSM) is the major mechanism of resistance to PPO herbicides; therefore, six populations showing resistance to soil-applied fomesafen were selected for …

A Content Validation Of Work Passion: Was The Passion Ever There?, Rachel Williamson Smith, Hanyi Min, Matthew A. Ng, Nicholas J. Haynes, Malissa A. Clark

Psychological Science Faculty Research & Creative Works

Work passion research most frequently utilizes the dualistic model of passion, which asserts two types of passion that differ based on the internalization of passion into one's identity: harmonious (adaptive) and obsessive (maladaptive) passion. While interest in work passion is exponentially increasing, scholars have recently pointed out concerns regarding the content validity of the most commonly used measure of the dualistic model of work passion, The Passion Scale. To address these questions, we conduct a content validation of The Passion Scale employing recent best practices in content validation research. Specifically, we examine the degree of content validity of the focal …

Models Of School Recess For Combatting Overweight In The United States, David Kahan, Allison Poulos

Teacher Education

Objectives: The aim of the study was to quantify and compare potential energy expenditure associated with school recess in the U.S. based on four scenarios: professional recommendations and state policies for the conduct of recess, previous studies that measured physical activity intensity during recess (i.e., reality), and no daily recess. Methods: Estimated energy expenditure (kcal) was modeled using secondary data over six years of elementary school for boys and girls using a standard formula: Intensity × duration × frequency × mass. Results: Boys and girls would expend similar energy under the professional recommendation (boys, 69,146 kcal; girls, 63,993 kcal) and …