Digital Commons Network^™

Perceptions And Needs Of Artificial Intelligence In Health Care To Increase Adoption: Scoping Review, Han Shi Jocelyn Chew, Palakorn Achananuparp

Research Collection School Of Computing and Information Systems

Background: Artificial intelligence (AI) has the potential to improve the efficiency and effectiveness of health care service delivery. However, the perceptions and needs of such systems remain elusive, hindering efforts to promote AI adoption in health care. Objective: This study aims to provide an overview of the perceptions and needs of AI to increase its adoption in health care. Methods: A systematic scoping review was conducted according to the 5-stage framework by Arksey and O’Malley. Articles that described the perceptions and needs of AI in health care were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, …

Comparison Of The Mental Burden On Nursing Care Providers With And Without Mat-Type Sleep State Sensors At A Nursing Home In Tokyo, Japan: Quasi-Experimental Study, Sakiko Itoh, Hwee-Pink Tan, Kenichi Kudo, Yasuko Ogata

Research Collection School Of Computing and Information Systems

Background: Increasing need for nursing care has led to the increased burden on formal caregivers, with those in nursing homes having to deal with exhausting labor. Although research activities on the use of internet of things devices to support nursing care for older adults exist, there is limited evidence on the effectiveness of these interventions among formal caregivers in nursing homes. Objective: This study aims to investigate whether mat-type sleep state sensors for supporting nursing care can reduce the mental burden of formal caregivers in a nursing home. Methods: This was a quasi-experimental study at a nursing home in Tokyo, …

Cross-Modal Food Retrieval: Learning A Joint Embedding Of Food Images And Recipes With Semantic Consistency And Attention Mechanism, Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc. In this paper, we investigate cross-modal retrieval between food images and cooking recipes. The goal is to learn an embedding of images and recipes in a common feature space, such that the corresponding image-recipe embeddings lie close to one another. Two major challenges in addressing this problem are 1) large intra-variance and small inter-variance across cross-modal food data; and 2) difficulties in obtaining discriminative recipe representations. To address these …

Experiences Using A Multidisciplinary Model For Treating Injection Drug Use Associated Infections: A Qualitative Study, Nathanial S Nolan, Emily Gleason, Laura R Marks, Tracey Habrock-Bach, Stephen Y Liang, Michael J Durkin

2020-Current year OA Pubs

Background: Over the past two decades, the United States has experienced a dramatic increase in the rate of injection drug use, injection associated infections, and overdose mortality. A hospital-based program for treating opioid use disorder in people who inject drugs presenting with invasive infections was initiated at an academic tertiary care center in 2020. The goal of this program was to improve care outcomes, enhance patient experiences, and facilitate transition from the hospital to longer term addiction care. The purpose of this study was to interview two cohorts of patients, those admitted before vs. after initiation of this program, to …

Associations Of Polymorphisms In The Peroxisome Proliferator-Activated Receptor Gamma Coactivator-1 Alpha Gene With Subsequent Coronary Heart Disease: An Individual-Level Meta-Analysis, Tessa Schillemans, Sharon Cresci, Et Al

2020-Current year OA Pubs

No abstract provided.

A Callosal Biomarker Of Behavioral Intervention Outcomes For Autism Spectrum Disorder? A Case-Control Feasibility Study With Diffusion Tensor Imaging, Javier Virues-Ortega, Nicole S. Mckay, Jessica C. Mccormack, Nerea Lopez, Rosalie Liu, Ian Kirk

2020-Current year OA Pubs

Tentative results from feasibility analyses are critical for planning future randomized control trials (RCTs) in the emerging field of neural biomarkers of behavioral interventions. The current feasibility study used MRI-derived diffusion imaging data to investigate whether it would be possible to identify neural biomarkers of a behavioral intervention among people diagnosed with autism spectrum disorder (ASD). The corpus callosum has been linked to cognitive processing and callosal abnormalities have been previously found in people diagnosed with ASD. We used a case-control design to evaluate the association between the type of intervention people diagnosed with ASD had previously received and their …

Where Do T Cell Subsets Stand In Sars-Cov-2 Infection: An Update, Mohammad Tarique, Mohd Suhail, Huma Naz, Naoshad Muhammad, Shams Tabrez, Torki A Zughaibi, Adel M Abuzenadah, Anwar M Hashem, Hari Shankar, Chaman Saini, Alpana Sharma

2020-Current year OA Pubs

An outbreak of coronavirus disease 2019 (COVID-19) emerged in China in December 2019 and spread so rapidly all around the globe. It's continued and spreading more dangerously in India and Brazil with higher mortality rate. Understanding of the pathophysiology of COVID-19 depends on unraveling of interactional mechanism of SARS-CoV-2 and human immune response. The immune response is a complex process, which can be better understood by understanding the immunological response and pathological mechanisms of COVID-19, which will provide new treatments, increase treatment efficacy, and decrease mortality associated with the disease. In this review we present a amalgamate viewpoint based on …

Market Myopia's Climate Bubble, Madison Condon

Faculty Scholarship

A growing number of financial institutions, ranging from BlackRock to the Bank of England, have warned that markets may not be accurately incorporating climate change-related risks into asset prices. This Article seeks to explain how this mispricing can exist at the level of individual assets drawing from scholarship on corporate governance and the mechanisms of market (in)efficiency. Market actors: 1. Lack the fine-grained asset-level data they need in order to assess risk exposure; 2. Continue to rely on outdated means of assessing risk; 3. Have misaligned incentives resulting in climate-specific agency costs; 4. Have myopic biases exacerbated by climate change …

The Role Of A Certified Child Life Specialist Within A Child Advocacy Center, Breanna E. Hintz

EWU Masters Thesis Collection

Childhood abuse and neglect is currently a prevalent issue in our society. Children who do not receive adequate support and ongoing services experience lasting impacts on their mental health and ability to cope with future events. Child Advocacy Centers (CAC) are community-based agencies that promote the intervention of childhood abuse and neglect. This setting, paired with the tailored support of Certified Child Life Specialists (CCLS), is an under-researched yet promising combination of services that can encourage the healing process for these children and their families. This study aims to understand the role of CCLSs in a CAC and how their …

Modeling Document Classification To Automate Mental Health Diagnosis, William M. Tadlock

EWU Masters Thesis Collection

The objective of this study is to determine if diagnosis documents can be used with document classification to automatically diagnose mental health conditions. Document classification allows text documents to be analyzed and organized into their appropriate classes based on the features and words presented in the text. One application of this is within the medical field to automatically classify different patient diagnosis based on medical or patient notes. This research applied mental health diagnosis documents to automatically diagnose a group of patients with a mental health condition based on text-based survey data. This classification was approached through several feature engineering …

Perspectives Of Child Life Specialists On Their Role Supporting Pediatric Psychiatric Boarders, Kerri Sellers

EWU Masters Thesis Collection

No abstract provided.

Cross-Group Friendships And Skin Tone Perceptions, Jhenifa Parker

EWU Masters Thesis Collection

George Allport (1954) coined the term contact hypothesis to explain the relationship between intragroup friendships/interactions and perceptions toward that group. Allport’s hypothesis had been scrutinized as an intervention for reducing prejudices and biases against groups who collectively experience discrimination. This theory was mainly tested in terms of cross-group friendships between individuals of a different ethnicity, racial group, physical ability, and so on; however, very little research has explored this hypothesis in the context of skin tone perceptions. Colorism has had an historical and pervasive impact on individuals categorized as racial/ethnic minorities. This study attempted to bridge the gaps in research …

The Surprising Virtues Of Data Loyalty, Woodrow Hartzog, Neil M. Richards

Faculty Scholarship

Lawmakers in the United States and Europe are seriously considering imposing duties of data loyalty that implement ideas from privacy law scholarship, but critics claim such duties are unnecessary, unworkable, overly individualistic, and indeterminately vague. This paper takes those criticisms seriously, and its analysis of them reveals that duties of data loyalty have surprising virtues. Loyalty, it turns out, can support collective well-being by embracing privacy’s relational turn; it can be a powerful state of mind for reenergizing privacy reform; it prioritizes human values rather than potentially empty formalism; and it offers solutions that are flexible and clear rather than …

Predicting Cybersecurity Incidents Through Mandatory Disclosure Regulation, Aniket Kesari

Faculty Scholarship

Cybersecurity risk is an increasingly common concern for organizations
that collect and maintain vast troves of data. In 2011, the United States
Securities and Exchange Commission (SEC) provided guidelines for how
publicly traded companies should convey these risks to potential investors. But
does this mandatory disclosure regime effectively serve this purpose in the
cybersecurity context? This Article uses machine learning and natural language
processing techniques to analyze firms’ mandatory risk disclosure statements,
predict which firms are at the greatest risk of suffering cybersecurity incidents,
and evaluate how well disclosure meets the goals of the broad regulatory
regime. More broadly, this …

A Pandemic Instrument Can Start Turning Collective Problems Into Collective Solutions By Governing The Common-Pool Resource Of Antimicrobial Effectiveness, Isaac Weldon, Kathy Liddell, Susan Rogers Van Katwyk, Steven J. Hoffman, Timo Minssen, Kevin Outterson, Stephanie Palmer, A. M. Viens, Jorge Viñuales

Faculty Scholarship

To address the complex challenge of global antimicrobial resistance (AMR), a pandemic treaty should include mechanisms that 1) equitably address the access gap for antimicrobials, diagnostic technologies, and alternative therapies; 2) equitably conserve antimicrobials to sustain effectiveness and access across time and space; 3) equitably finance the investment, discovery, development, and distribution of new technologies; and 4) equitably finance and establish greater upstream and midstream infection prevention measures globally. Biodiversity, climate, and nuclear governance offer lessons for addressing these challenges.

Introduction: Amr Belongs In The Pandemic Instrument, Susan Rogers Van Katwyk, Kevin Outterson

Faculty Scholarship

In the wake of COVID-19, the World Health Organization established an Intergovernmental Negotiating Body to negotiate a new instrument for pandemic prevention, preparedness, and response. This special issue of the Journal of Law, Medicine & Ethics brings together multidisciplinary scholarship to address the question of whether antimicrobial resistance should be included in this new instrument. Drawing from disciplines including law, anthropology, history, public health, public policy, economics, and veterinary medicine, this special issue explores the inclusion of AMR within the Pandemic Instrument from three perspectives: first, through the lens of global AMR governance, second, from the perspective of technical governance …

The Bi-Partisan Enabling Of Presidential Power: A Review Of David Driesen's The Specter Of Dictatorship: Judicial Enabling Of Presidential Power (2021), Jed Handelsman Shugerman

Faculty Scholarship

In "The Specter of Dictatorship: Judicial Enabling of Presidential Power," David Driesen questions the unitary executive theory and other doctrines of unchecked executive power. He offers primarily a critique of purposivism, a mix of original public meaning and more recent history illuminating those purposes: the Founders’ anti-tyranny purpose and then the rise of European tyranny from Nazi Germany to contemporary Hungary, Turkey, and Poland.
/="/">
/="/">This review first focuses on Driesen’s approach to Congress: He identifies the broad congressional delegation of powers to the president as a source of expansive executive power, but he does not entertain that doctrines …

Resilience & Persistence Of First-Generation Ncaa Division I Student-Athletes: An Evaluation Of The Key Culture, Communication, & Sports Program At Colorado State University, Sarabeth Morofsky

Electronic Theses and Dissertations

This program evaluation highlights the Key Culture, Communication, & Sports (KCCS) Program at Colorado State University in Fort Collins, CO, a learning community program dedicated to serving student-athletes. Learning communities, considered high-impact practice in higher education, have a longstanding and successful approach to supporting new college students (Mamerow & Navorro, 2014). Many of the traditional benefits of learning community participation line up closely with the needs of student-athletes (Mamerow & Navorro, 2014). A Utilization-Focused program evaluation was implemented. KCCS students and KCCS faculty and staff were interviewed to understand if and how the KCCS program was meeting its goals. The …

An Investigation Into The Plate Fixation For Periprosthetic Femoral Fractures, Xiang Chen

Electronic Theses and Dissertations

Periprosthetic femoral fractures are the third most reason for reoperation after the total hip arthroplasty with an incident rate of approximately 6%. The Vancouver type B periprosthetic femoral fractures account for over 70% of all cases, while the sub-type B1 fracture (when the total hip stem is stable) has remained a clinical challenge due to incidences of severe complications after the standard plate-screw fixation. To seek biomechanically sound fixations for the Vancouver type B1 fracture, this dissertation developed a combined modeling and testing framework to investigate the efficacy of fixation for a Vancouver type B1 fracture using different construct lengths …

First Destination Survey 2022: For Degrees Awarded December 2021-August 2022, Hart Career Center, Illinois Wesleyan University

First Destination Survey

[from the email sent by Warren Kistner]

The Hart Career Center is responsible for producing an annual First Destination (graduate) survey that tracks the post-graduate activity of our students within a six-month window of commencement. Following this collection period, we work to produce a report that provides our university community with vital information about the success of our graduates and allows us to address questions posed by prospective students and families. I am pleased to share our report for the class of 2022. Based on data obtained for 88.1% of our graduates, 97.3% are either employed or in graduate/professional school …

Human Trafficking Of People With A Disability: An Analysis Of State And Federal Cases, Andrea Nichols, Erin Heil

Dignity: A Journal of Analysis of Exploitation and Violence

The current academic discourse examining human trafficking is lacking in focus on survivors with a disability. The increased likelihood of abuse experienced by people with a disability is well documented in the research literature, and a small body of research indicates heightened sex trafficking victimization of minor girls with a disability. Yet, very little research specifically examines sex and/or labor trafficking of people with a disability, and no systematic research analyzes prosecuted cases of trafficking with disability as the focal point of analysis. Drawing from a content analysis of 18 federal and 17 state cases of human trafficking, the current …

Academic Medical Center Clinical Research Professional Workforce: Part 2 - Issues In Staff Onboarding And Professional Development, Jacqueline M Knapke, Michelle Jenkerson, Peg Tsao, Stephanie Freel, Jessica Fritter, Shirley L Helm, Penelope Jester, H Robert Kolb, Angela Mendell, Megan Petty, Carolynn T Jones

2020-Current year OA Pubs

Background: Defining key barriers to the development of a well-trained clinical research professional (CRP) workforce is an essential first step in identifying solutions for successful CRP onboarding, training, and competency development, which will enhance quality across the clinical and translational research enterprise. This study aimed to summarize barriers and best practices at academic medical centers related to effective CRP onboarding, training, professional development, identify challenges with the assessment of and mentoring for CRP competency growth, and describe opportunities to improve training and professionalization for the CRP career pathway.

Materials/Methods: Qualitative data from a series of Un-Meeting breakout sessions and open-text …

Differences In Subjective Well-Being Between Individuals With Distinct Joint Personality (Temperament-Character) Networks In A Bulgarian Sample, Danilo Garcia, Maryam Kazemitabar, Kristina Stoyanova, Drozdstoy Stoyanov, C Robert Cloninger

2020-Current year OA Pubs

Background: Personality is the major predictor of people's subjective well-being (

Method: The sample consisted of 443 individuals from Bulgaria (68.70% females) with a mean age of 34 years (

Results: We found two Temperament Profiles and two Character Profiles that clustered into two distinctive Joint Personality Networks. All individuals in Joint Personality Network 1 had a Reliable (nhRP) Temperament Profile in combination with an Organized (SCt) Character Profile (

Conclusions: Although a stable temperament and a healthy character were separately important for well-being, it was clear that it was the interaction between such temperament and character configuration that yielded …

A Risk-Averse Mechanism For Suicidality Assessment On Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur

Publications

Recent studies have shown that social media has increasingly become a platform for users to express suicidal thoughts outside traditional clinical settings. With advances in Natural Language Processing strategies, it is now possible to design automated systems to assess suicide risk. However, such systems may generate uncertain predictions, leading to severe consequences. We hence reformulate suicide risk assessment as a selective prioritized prediction problem over the Columbia Suicide Severity Risk Scale (C-SSRS). We propose SASI, a risk-averse and self-aware transformer-based hierarchical attention classifier, augmented to refrain from making uncertain predictions. We show that SASI is able to refrain from 83% …

Process Knowledge-Infused Learning For Suicidality Assessment On Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Improving the performance and natural language explanations of deep learning algorithms is a priority for adoption by humans in the real world. In several domains, such as healthcare, such technology has significant potential to reduce the burden on humans by providing quality assistance at scale. However, current methods rely on the traditional pipeline of predicting labels from data, thus completely ignoring the process and guidelines used to obtain the labels. Furthermore, post hoc explanations on the data to label prediction using explainable AI (XAI) models, while satisfactory to computer scientists, leave much to be desired to the end users due …

Exo-Sir: An Epidemiological Model To Analyze The Impact Of Exogenous Spread Of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth

Publications

Epidemics like Covid-19 and Ebola have impacted people's lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been significant. The spread of disease due to factors local to the population under consideration is termed the endogenous spread. The spread due to external factors like migration, mobility, etc. is called the exogenous spread. In this paper, we introduce the Exo-SIR model, an extension of the popular SIR model and a few variants of the model. The novelty in our model is that it captures both the exogenous and endogenous spread of …

The Lognometer: A New Normalized And Computerized Device For Assessing The Neurodevelopment Of Fine Motor Control In Children, Christian O'Reilly, Rejean Plamondon, Nadir Faci

Publications

Motor skills are fundamental for the development of children. Neurodevelopmental tests currently used by professionals for measuring motor control maturity exhibit several limitations. To address some of these, we have designed the Lognometer, a tablet-based device that can run computerized neuromotor tests. To normalize this tool against a representative population, we collected handwritten triangles from 780 children. We used the Sigma-Lognormal model and a prototype-based parameter estimation algorithm to analyze these movements. To ensure clinical acceptance, we developed an explainable solution relying on statistical regression. We evaluated how well the proposed lognormal decomposition captures the motor control maturation between 6 …

Comparing Symbolic And Connectionist Algorithms For Correlating The Age Of Healthy Children With Sigma-Lognormal Neuromuscular Parameters, Zigeng Zhang, Christian O'Reilly, Rejean Plamondon

Publications

It is important to accurately evaluate the motor control maturity to help physicians diagnose delayed or abnormal motor development in children. Traditionally, it has been challenging to design assessment methods that are practical and accurate at the same time. This study aims to develop an effective algorithm to predict motor control maturity based on the Kinematic Theory of rapid human movements. We used handwritten pen strokes made on an electronic tablet by 513 children (5.5 to 13 years of age). We considered two types of movements: a single stroke and a triangle drawing test. For the analysis, Sigma-Lognormal parameters were …

Ksat: Knowledge-Infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

Publications

Domain-specific language understanding requires integrating multiple pieces of relevant contextual information. For example, we see both suicide and depression related behavior (multiple contexts) in the text “I have a gun and feel pretty bad about my life, and it wouldn’t be the worst thing if I didn’t wake up tomorrow”. Domain specificity in self-attention architectures is handled by fine-tuning on excerpts from relevant domain specific resources (datasets and external knowledge - medical textbook chapters on mental health diagnosis related to suicide and depression). We propose a modified self-attention architecture Knowledge infused Self Attention Transformer (KSAT) that achieves the integration of …

Wise Causal Models: Wisdom Infused Semantics Enhanced Causal Models - A Study In Suicidality Diagnosis, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Sanjay Chandrasekar, Amit Sheth

Publications

The COVID-19 Pandemic has highlighted the gap between the number of mental health care seekers and care providers. Netizens have taken to internet-based platforms such as Reddit to express their experiences. Mental illness diagnosis processes have clinically accepted causal interpretations and semantics. Curiously, mental illness diagnosis accuracy is low relative to similar well-studied illnesses. Motivated by this discrepancy, we propose Wisdom Infused Semantics Enhanced (WISE) causal models, inspired by the wisdom of the crowd idea that learns from a collective agreement among causal models and their semantics for mental illness diagnoses. We use suicidality diagnosis task descriptions, datasets, and baseline …