Digital Commons Network^™

What They Are Really Saying: An Analysis Of The Messages In Full-Time Virtual School Television-Length Advertisements, Dennis Beck, Seth D. French, Johnny B. Allred, Christian Z. Goering

Curriculum and Instruction Faculty Publications and Presentations

Virtual schooling in America is a complex notion, one riddled with simultaneous claims of provenance coupled with poor achievement results when compared to other forms of schooling. Recruitment practices for virtual schools, specifically available television-length advertisements from a national list of fully online schools, comprised a data set around which this study revolved. We examined how virtual school television-length advertisements represented or misrepresented their approach to schooling by utilizing a cultural studies technique of performing preferred, negotiated, and oppositional readings. Qualitative analysis—including an independent interrater process—led to findings that often directly contradicted the messages present in the television-length advertisements, as …

Saving The Sea Turtles Of Anguilla: Combining Scientific Data With Community Perspectives To Inform Policy Decisions, L. M. Soanes, J. Johnson, K. Eckert, K. Gumbs, L. G. Halsey, G. Hughes, K. Levasseur, Joe Quattro, R. Richardson, J. P. Skinner, S. Wynee, F. Mukhida

Faculty Publications

Historic over-exploitation and the more recent threats caused by fisheries by-catch, disease and climate change have left sea turtle populations in the Wider Caribbean at risk of extinction. In 1995, following regional declines in nesting and foraging populations, the island of Anguilla implemented a moratorium on the hunting of turtles. At the request of the Government of Anguilla for scientific data to either support or remove the moratorium, comprehensive population estimates were obtained, and foraging, nesting and migratory movements were examined. In addition, community perspectives on turtles and their protection were assessed. Between 2015 and 18 surveys of 30 nesting …

Bright Light Treatment Of Combat-Related Ptsd: A Randomized Controlled Trial, Shawn D. Youngstedt, Christopher E. Kline, Alexandria Reynolds, Shannon K. Crowley, James B. Burch Ph.D., Nidha Khan, Seungyong Han

Faculty Publications

Introduction

Post-traumatic stress disorder (PTSD) is a prevalent consequence of combat with significant associated morbidity. Available treatments for PTSD have had limitations, suggesting a need to explore alternative or adjuvant treatments. Numerous rationales for bright light treatment of PTSD include its benefits for common PTSD comorbidities of depression, anxiety, and circadian misalignment and its relative ease of use with few side effects. The primary aims of this research were to examine the effects of bright light treatment for combat-related PTSD and associated morbidity. Materials and Methods

A randomized controlled trial was performed in N = 69 veterans with PTSD attributable …

Duty To Rescue In The Digital Age: A Comparative Analysis, Cameron Kellett

Cardozo International & Comparative Law Review

The article advocates for the enactment of state legislation establishing a duty-to-rescue doctrine, arguing that the absence of such a legal duty leads to preventable harm and undermines societal solidarity. It critiques the arbitrary nature of the special relationship exception under current law and proposes Minnesota's duty-to-rescue statute as a model for reform. The analysis emphasizes that requiring bystanders to provide reasonable assistance, without endangering themselves, is both feasible and morally justifiable, as it aligns with human tendencies to help others in distress.

Front Matter, Journal Editors

Yalobusha Review

No abstract provided.

I, Cassava, Akhim Alexis

Yalobusha Review

Finalist for the 2021 Barry Hannah Prize in Fiction

Juveniles’ Overdue Rights: Integrating The Rights-Of-Minors Provision With The Cruel And Unusual Punishment Analysis In Montana, Shelby Towe

Montana Law Review

No abstract provided.

Light & Faith: April 2022, Taylor University

Light & Faith

No abstract provided.

Which Original Public?, James C. Phillips

Chapman Law Review

Original public meaning originalism 1 seeks to know what the Constitution would have meant to an ordinary person at the time a specific provision was enacted. So originalist scholars tend to look to see what the Constitution’s words would have meant to an ordinary, average, or competent user of American English at the time a specific constitutional provision was adopted. In District of Columbia v. Heller (“Heller”), however, Justice Scalia’s majority opinion took a more specific view of exactly who qualified as the ordinary person of interest. At one point Heller declares that the “Constitution was written to …

Examining 24-Hour Activity And Sleep Behaviors And Related Determinants In Latino Adolescents And Young Adults With Obesity, Erica G Soltero, Neeku Navabi, Kiley B Vander Wyst, Edith Hernandez, Felipe G Castro, Stephanie L Ayers, Jenny Mendez, Gabriel Q Shaibi

Children’s Nutrition Research Center Staff Publications

Background.

Few studies have examined 24-hour activity and sleep behaviors and their contribution to type 2 diabetes (T2D) in Latino adolescents and young adults with obesity.

Aim.

This study included quantitative data on T2D risk and 24-hour activity and sleep behaviors and qualitative data on individual, social, and environmental behavioral determinants.

Method.

A 7 day, 24-hour, wrist-worn accelerometer protocol assessed moderate-to-vigorous physical activity (PA), sedentary behaviors (SB), sleep, and sleep regularity, in adolescents (N = 38; 12–16 years) and young adults (N = 22; 18–22 years). T2D-related outcomes included adiposity (BMI, BF%, waist circumference), fasting, and 2-hour glucose. …

Food Assistance Use Among Food Bank Clients Affected By Type 2 Diabetes, Eliza Short, Jayati Sharma, Debbe I Thompson, Douglas Taren, Rhonda Gonzalez, Melanie Hingle

Children’s Nutrition Research Center Staff Publications

Objective: To understand the perspectives of food bank clients affected by type 2 diabetes (T2DM).

Design: Semi-structured in-depth interviews conducted with food bank clients.

Setting: Arizona regional food bank.

Participants: Twenty English- and Spanish-speaking food bank clients with T2DM or living with a person with T2DM, aged 45-83 years, majority female, Hispanic, and food insecure.

Phenomenon of interest: Food bank use and preferences, and how these related to T2DM management.

Analysis: A hybrid thematic analysis combining inductive and deductive reasoning.

Results: Three organizing themes emerged from the analysis. First, food assistance was influenced by food preferences and the ability to …

Trans Fatty Acid Biomarkers And Incident Type 2 Diabetes: Pooled Analysis Of 12 Prospective Cohort Studies In The Fatty Acids And Outcomes Research Consortium (Force), Heidi T M Lai, Fumiaki Imamura, Andres V Ardisson Korat, Rachel A Murphy, Nathan Tintle, Julie K Bassett, Jiaying Chen, Janine Kröger, Kuo-Liong Chien, Mackenzie Senn, Alexis C Wood, Nita G Forouhi, Matthias B Schulze, William S Harris, Ramachandran S Vasan, Frank Hu, Graham G Giles, Allison Hodge, Luc Djousse, Ingeborg A Brouwer, Frank Qian, Qi Sun, Jason H Y Wu, Matti Marklund, Rozenn N Lemaitre, David S Siscovick, Amanda M Fretts, Aladdin H Shadyab, Joann E Manson, Barbara V Howard, Jennifer G Robinson, Robert B Wallace, Nick J Wareham, Yii-Der Ida Chen, Jerome I Rotter, Michael Y Tsai, Renata Micha, Dariush Mozaffarian, Fatty Acids And Outcomes Research Consortium (Force)

Children’s Nutrition Research Center Staff Publications

Objective: Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis.

Research design and methods: We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using …

Identification Of Genetic Loci Simultaneously Associated With Multiple Cardiometabolic Traits, Alexis C Wood, Amit Arora, Michelle Newell, Victoria L Bland, Jin Zhou, Nicola Pirastu, Jose M Ordovas, Yann C Klimentidis

Children’s Nutrition Research Center Staff Publications

Background and aims: Cardiometabolic disorders (CMD) arise from a constellation of features such as increased adiposity, hyperlipidemia, hypertension and compromised glucose control. Many genetic loci have shown associations with individual CMD-related traits, but no investigations have focused on simultaneously identifying loci showing associations across all domains. We therefore sought to identify loci associated with risk across seven continuous CMD-related traits.

Methods and results: We conducted separate genome-wide association studies (GWAS) for systolic and diastolic blood pressure (SBP/DBP), hemoglobin A1c (HbA1c), low- and high- density lipoprotein cholesterol (LDL-C/HDL-C), waist-to-hip-ratio (WHR), and triglycerides (TGs) in the UK Biobank (N = 356,574-456,823). Multiple …

Β-Carotene Oxygenase 2 Genotype Modulates The Impact Of Dietary Lycopene On Gene Expression During Early Tramp Prostate Carcinogenesis, Nancy E Moran, Jennifer M Thomas-Ahner, Joshua W Smith, Ceasar Silva, Noor A Hason, John W Erdman, Steven K Clinton

Children’s Nutrition Research Center Staff Publications

Background: Epidemiologic studies suggest lycopene and tomato intake are inversely associated with human prostate cancer incidence. In the genetically driven murine prostate carcinogenesis model transgenic adenocarcinoma of the mouse prostate (TRAMP), prostate cancer is inhibited by feeding of lycopene or tomatoes, and these effects are modulated by the β-carotene oxygenase 2 (Bco2) genotype.

Objective: We sought insight into this interaction through evaluation of prostate gene expression patterns during early TRAMP carcinogenesis.

Methods: Three-week-old TRAMP/+ or TRAMP/- × Bco2+/+ or Bco2-/- mice were fed a control, lycopene beadlet, or 10% tomato powder-containing semipurified diet (providing 0, 384 and 462 mg lycopene/kg …

Metabolic Inflexibility In Youth With Obesity: Is It A Feature Of Obesity Or Distinctive Of Youth Who Are Metabolically Unhealthy?, Nour Y Gebara, Joon Young Kim, Fida Bacha, Sojung Lee, Silva Arslanian

Children’s Nutrition Research Center Staff Publications

Background:

Individuals with obesity have metabolic inflexibility with diminished fasting fat oxidation and blunted increase in respiratory quotient (RQ) in insulin-stimulated states. However, it is unclear if metabolic inflexibility is a characteristic of obesity per se or is unique to youth who have metabolically unhealthy obesity (MUO) compared with metabolically healthy obesity (MHO).

Objective:

We investigated metabolic flexibility in youth with MUO, MHO and normal weight (NW) and compared their metabolic characteristics.

Patients/Design:

Youth (n=188) were divided, based on cut-off points for in vivo insulin sensitivity (IS) of adolescents with NW, into 137 with MUO and 51 with MHO. Fasting …

Effects Of New York State’S Medicaid Orthodontic Policy Changes On Approved Orthodontic Treatment Complexity, June Harewood Dds, Ma, Ms, Karolina Kister Dmd, Phd, Lynn Tepper Phd, Edd, Hassan M. Khan Dmd, Mbe, Ms, Jing Chen Dds, Phd, Christine O'Hea Dmd, Msc, Thomas Hoopes, Sunil Wadhwa Dds, Phd

The New York State Dental Journal

The purpose of this study was to analyze how 2013 New York State Medicaid legislation that introduced HLD index affected orthodontic Medicaid treatment approval affected orthodontic Medicaid treatment approval. Eighty-six patients pre-2013 and eighty-six post-2013 were selected from a single academic center. The number of patients who auto-qualified post-2013 significantly increased (58 vs 39, p=0.006). For the patients who did not auto-qualify there was a significant increase (p=0.017) in HLD scores post-2013 (31.38) compared to pre-2013 (13.34). Fifty-one percent of the patients approved pre -2013 would not have qualified for coverage under the current policy.

“Kung Flu”: A History Of Hostility And Violence Against Asian Americans, Denny Chin, Kathy Hirata Chin

Fordham Law Review

The COVID-19 pandemic “first became real” for most Americans in March 2020. Since then,a wave of anti-Asian hatred and violence has swept the country, as more than 10,000 “hate incidents” have been reported against Asian Americans and Pacific Islanders (AAPIs), including the 2021 killing of six Asian American women in the Atlanta area. The videos of senseless attacks against AAPIs, many of whom were older and vulnerable, were horrific and disturbing. But what is perhaps more disturbing is that this is nothing new, for there is a long history of hostility and violence against Asian Americans in this country, a …

On Explaining Multimodal Hateful Meme Detection Models, Ming Shan Hee, Roy Ka-Wei Lee, Wen Haw Chong

Research Collection School Of Computing and Information Systems

Hateful meme detection is a new multimodal task that has gained significant traction in academic and industry research communities. Recently, researchers have applied pre-trained visual-linguistic models to perform the multimodal classification task, and some of these solutions have yielded promising results. However, what these visual-linguistic models learn for the hateful meme classification task remains unclear. For instance, it is unclear if these models are able to capture the derogatory or slurs references in multimodality (i.e., image and text) of the hateful memes. To fill this research gap, this paper propose three research questions to improve our understanding of these visual-linguistic …

Verifiable Searchable Encryption Framework Against Insider Keyword-Guessing Attack In Cloud Storage, Yinbin Miao, Robert H. Deng, Kim-Kwang Raymond Choo, Ximeng Liu, Hongwei Li

Research Collection School Of Computing and Information Systems

Searchable encryption (SE) allows cloud tenants to retrieve encrypted data while preserving data confidentiality securely. Many SE solutions have been designed to improve efficiency and security, but most of them are still susceptible to insider Keyword-Guessing Attacks (KGA), which implies that the internal attackers can guess the candidate keywords successfully in an off-line manner. Also in existing SE solutions, a semi-honest-but-curious cloud server may deliver incorrect search results by performing only a fraction of retrieval operations honestly (e.g., to save storage space). To address these two challenging issues, we first construct the basic Verifiable SE Framework (VSEF), which can withstand …

Improving Feature Generalizability With Multitask Learning In Class Incremental Learning, Dong Ma, Chi Ian Tang, Cecilia Mascolo

Research Collection School Of Computing and Information Systems

Many deep learning applications, like keyword spotting [1], [2], require the incorporation of new concepts (classes) over time, referred to as Class Incremental Learning (CIL). The major challenge in CIL is catastrophic forgetting, i.e., preserving as much of the old knowledge as possible while learning new tasks. Various techniques, such as regularization, knowledge distillation, and the use of exemplars, have been proposed to resolve this issue. However, prior works primarily focus on the incremental learning step, while ignoring the optimization during the base model training. We hypothesise that a more transferable and generalizable feature representation from the base model would …

Chosen-Instruction Attack Against Commercial Code Virtualization Obfuscators, Shijia Li, Chunfu Jia, Pengda Qiu, Qiyuan Chen, Jiang Ming, Debin Gao

Research Collection School Of Computing and Information Systems

—Code virtualization is a well-known sophisticated obfuscation technique that uses custom virtual machines (VM) to emulate the semantics of original native instructions. Commercial VM-based obfuscators (e.g., Themida and VMProtect) are often abused by malware developers to conceal malicious behaviors. Since the internal mechanism of commercial obfuscators is a black box, it is a daunting challenge for the analyst to understand the behavior of virtualized programs. To figure out the code virtualization mechanism and design deobfuscation techniques, the analyst has to perform reverse-engineering on large-scale highly obfuscated programs. This knowledge learning process suffers from painful cost and imprecision. In this project, …

Trend: Temporal Event And Node Dynamics For Graph Representation Learning, Zhihao Wen, Yuan Fang

Research Collection School Of Computing and Information Systems

Temporal graph representation learning has drawn significant attention for the prevalence of temporal graphs in the real world. However, most existing works resort to taking discrete snapshots of the temporal graph, or are not inductive to deal with new nodes, or do not model the exciting effects which is the ability of events to influence the occurrence of another event. In this work, We propose TREND, a novel framework for temporal graph representation learning, driven by TempoRal Event and Node Dynamics and built upon a Hawkes process-based graph neural network (GNN). TREND presents a few major advantages: (1) it is …

Gesturelens: Visual Analysis Of Gestures In Presentation Videos, Haipeng Zeng, Xingbo Wang, Yong Wang, Aoyu Wu, Ting Chuen Pong, Huamin Qu

Research Collection School Of Computing and Information Systems

Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this paper, we contribute a visual analytic approach that assists professional public speaking coaches in improving their practice of gesture training through analyzing presentation videos. Manually checking and exploring gesture usage in the presentation videos is often tedious and time-consuming. There lacks an efficient method to help users conduct gesture exploration, which is challenging due to the intrinsically temporal evolution of gestures and their complex correlation to speech content. In this paper, we propose GestureLens, a visual analytics system to facilitate gesture-based and …

Ampsum: Adaptive Multiple-Product Summarization Towards Improving Recommendation Captions, Quoc Tuan Truong, Hady Wirawan Lauw, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw

Research Collection School Of Computing and Information Systems

In e-commerce websites, multiple related product recommendations are usually organized into “widgets”, each given a name, as a recommendation caption, to describe the products within. These recommendation captions are usually manually crafted and generic in nature, making it difficult to attach meaningful and informative names at scale. As a result, the captions are inadequate in helping customers to better understand the connection between the multiple recommendations and make faster product discovery.We propose an Adaptive Multiple-Product Summarization framework (AmpSum) that automatically and adaptively generates widget captions based on different recommended products. The multiplicity of products to be summarized in a widget …

Cost: Contrastive Learning Of Disentangled Seasonal-Trend Representations For Time Series Forecasting, Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi

Research Collection School Of Computing and Information Systems

Deep learning has been actively studied for time series forecasting, and the mainstream paradigm is based on the end-to-end training of neural network architectures, ranging from classical LSTM/RNNs to more recent TCNs and Transformers. Motivated by the recent success of representation learning in computer vision and natural language processing, we argue that a more promising paradigm for time series forecasting, is to first learn disentangled feature representations, followed by a simple regression fine-tuning step – we justify such a paradigm from a causal perspective. Following this principle, we propose a new time series representation learning framework for long sequence time …

Victor: An Implicit Approach To Mitigate Misinformation Via Continuous Verification Reading, Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku

Research Collection School Of Computing and Information Systems

We design and evaluate VICTOR, an easy-to-apply module on top of a recommender system to mitigate misinformation. VICTOR takes an elegant, implicit approach to deliver fake-news verifications, such that readers of fake news can continuously access more verified news articles about fake-news events without explicit correction. We frame fake-news intervention within VICTOR as a graph-based question-answering (QA) task, with Q as a fake-news article and A as the corresponding verified articles. Specifically, VICTOR adopts reinforcement learning: it first considers fake-news readers’ preferences supported by underlying news recommender systems and then directs their reading sequence towards the verified news articles. To …

Wealth Accumulation By Hypogamy In Own And Parental Education In China, Cheng Cheng, Yang Zhou

Research Collection School of Social Sciences

Objective: This study examines how household wealth accumulation varies by different types of hypogamy on the basis of couples' own and parental education. Background: Educational hypogamy (wives having more education than their husbands) is increasingly relevant in many societies, given the reversal of the gender gap in education. Prior research has studied how marital sorting on couples' own education shapes their individual earnings trajectories. Few have examined the implications of marital sorting on parental education for family-level economic well-being. Method: Using data from the 2010–2018 China Family Panel Studies and multilevel growth curve models, this study examined how household wealth …

Perceptions Of Emotional Functionality: Similarities And Differences Among Dignity, Face, And Honor Cultures, Maitner A.T., Decoster J., Andersson P.A., Eriksson K., Sherbaji S., Giner-Sorolla R., Mackie D.M., Aveyard M., Claypool H.M., Crisp R.J., Gritskov V., Habjan K., Andree Hartanto, Kiyonari T., Kuzminska A.O., Manesi Z., Molho C., Munasinghe A., Peperkoorn L.S., Shiramizu V.

Research Collection School of Social Sciences

Emotions are linked to wide sets of action tendencies, and it can be difficult to predict which specific action tendency will be motivated or indulged in response to individual experiences of emotion. Building on a functional perspective of emotion, we investigate whether anger and shame connect to different behavioral intentions in dignity, face, and honor cultures. Using simple animations that showed perpetrators taking resources from victims, we conducted two studies across eleven countries investigating the extent to which participants expected victims to feel anger and shame, how they thought victims should respond to such violations, and how expectations of emotions …

Internet Privacy Concerns Revisited: Oversight From Surveillance And Right To Be Forgotten As New Dimensions, Gaurav Bansal, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

In the post-Snowden revelation era, concerns related to government surveillance and oversight have come to the forefront. The ability of the Internet to remember “everything” (or forget anything) also raises a privacy concern associated with the right to be forgotten (RTBF). In this paper, we examine the conceptualization of Internet privacy concerns (IPC) by extending Hong and Thong's (2013) model with the addition of two dimensions: oversight (i.e., due to surveillance) and the RTBF. We provide theoretical and empirical evidence for our proposed integrated conceptualization. Data were collected from Amazon's Mechanical Turk and analyzed with structural equation modeling using a …

Testing Theoretical Assumptions Underlying The Relation Between Anxiety, Mind Wandering, And Task-Switching: A Diffusion Model Analysis, Andree Hartanto, Hwajin Yang

Research Collection School of Social Sciences

Despite the well-documented negative effects of anxiety on task-switching (switch costs), few studies have directly tested major theoretical assumptions about (a) the specific processing component of task-switching that is impaired by anxiety, (b) anxious individuals’ strategies during task-switching, and (c) the mediating role of mind wandering in the relation between anxiety and task-switching. We addressed these issues using a stochastic diffusion model analysis and novel thought-probe technique in the task-switching paradigm. Our results suggest that the locus of impaired switch costs under state anxiety lies in the efficiency of task-set reconfiguration and not in proactive interference processing. Moreover, state anxiety …