Digital Commons Network^™

The Role Of Information Science Within The Clinical Translational Science Ecosystem, Elizabeth Hinton, Bart Ragon, Anne K. Seymour, Elizabetth Whipple, Alisa Surkis, Amanda Haberstroh, Jennifer Muilenburg, Melissa L. Rethlefsen, Erinn Aspinall, Jill Deaver, Nadine Dexter, Renae Barger, Micquel Little, Nicole Contaxis, Emily Glenn, Barbara Kern, Keith Pickett, Erika Sevetson, Donghua Tao, Megan Von Isenburg, Debra Werner, Terrie Wheeler, Kristi Holmes

Publications

Academic health sciences libraries (“libraries”) offer services that span the entire research lifecycle, positioning them as natural partners in advancing clinical and translational science. Many libraries enjoy active and productive collaborations with Clinical and Translational Science Award (CTSA) Program hubs and other translational initiatives like the IDeA Clinical & Translational Research Network. This article explores areas of potential partnership between libraries and Translational Science Hubs (TSH), highlighting areas where libraries can support the CTSA Program’s five functional areas outlined in the Notice of Funding Opportunity. It serves as a primer for TSH and libraries to explore potential collaborations, demonstrating how …

Optimizing Electric Vehicle Fleet Integration In Industrial Demand Response: Maximizing Vehicle-To-Grid Benefits While Compensating Vehicle Owners For Battery Degradation, Andre Leippi, Markus Fleschutz, Kevin Davis, Anna-Lena Klingler, Michael D. Murphy

Publications

This paper addresses the integration of electric vehicle (EV) fleets into industrial smart grids to increase operational flexibility. It focuses on an extended multi-objective optimization problem that minimizes two primary objectives: (i) the electricity expenditure of a company using its employees’ EV batteries as temporary distributed energy storage, and (ii) the costs associated with the degradation of EV batteries, given the additional usage from the company’s perspective. In this paper, the utilization of an EV fleet is simulated at the individual car level over a one-year period. These optimization problems were balanced by using real-time electricity prices and the effective …

Are Ai Tools Better Than Traditional Tools In Literature Searching? Evidence From E-Commerce Research, Maria Petrescu, Przemysław Tomczyk, Philipp Brüggemann, Niklas Mergner

Publications

This article examines the potential implications of Artificial Intelligence (AI) for literature search, comparing AI-based tools to conventional research methods. It also addresses the scarcity of academic literature on specific AI tools for research writing, posing four critical questions regarding accuracy, quality, uniqueness, and qualified uniqueness. Employing Algorithmic Theory and Data Dependency Theory, this project scrutinizes AI performance in algorithms, machine learning models, and data quality. Testing nine e-commerce topics using Scopus, Web of Science, Elicit, and SciSpace, the authors conclude that while conventional methods excel in accuracy and quality, AI tools show promise in uniqueness, complementing literature reviews. The …

Surely You Can’T Be Serious: A Student’S Guide For Flight School Closure, Aidan Mcglasson, Sarah Nilsson

Publications

Flying aircraft, whether at a general aviation, commercial, or military level, is deeply engrained in American culture. Opinion polls place being a professional pilot as one of the most respected, and prestigious jobs in the country (Mushtaque, 2023). As evidenced by the popularity of movies such as Airplane!, Top Gun, or Sully, flying is something that fascinates many people. Perhaps contributing to its mystique is the difficulty and expense in obtaining the necessary training and certifications to be a pilot. Some people undergo flight training with the goal of flying commercially, as an airline or corporate pilot, while others do …

The Future Of Flying: An Exploration Of New Aircraft Design And Energy Required To Support Advanced Air Mobility – Part 1, Sarah Nilsson

Publications

Lecture exploring new aircraft design and energy required to support advanced air mobility.

A Benchmark Knowledge Graph Of Driving Scenes For Knowledge Completion Tasks, Ruwan Wickramarachchi, Cory Henson, Amit Sheth

Publications

Knowledge graph completion (KGC) is a problem of significant importance due to the inherent incompleteness in knowledge graphs (KGs). The current approaches for KGC using link prediction (LP) mostly rely on a common set of benchmark datasets that are quite different from real-world industrial KGs. Therefore, the adaptability of current LP methods for real-world KGs and domain-specific ap- plications is questionable. To support the evaluation of current and future LP and KGC methods for industrial KGs, we introduce DSceneKG, a suite of real-world driving scene knowledge graphs that are currently being used across various industrial applications. The DSceneKG is publicly …

Benchmarking Machine Learning Models To Predict Low Birthweight Baby Outcomes And Identify Associated Risk Factors From An Extremely Unbalanced Large-Scale Dataset, Yang Ren, Dezhi Wu, Yan Tong Ph.D., Ana Lopez-De Fede Ph.D., Sarah J. Gareau

Publications

Background: Low birthweight (LBW) is one of the leading causes of neonatal mortality in the United States (US), and also is a major causative factor of short- and long-term adverse health effects in newborns. To prevent adverse birth outcomes, it is critical to precisely predict and identify which mothers are at high risk of bearing LBW babies in the early stage of their pregnancy. Previous studies proposed various LBW prediction models from different ML algorithms primarily on small datasets. However, their model performance is significantly limited by data access barriers and data quality issues with one major technical challenge of …

Visual Causal Question And Answering With Knowledge Graph Link Prediction, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

The ability to answer causal questions is important for any system that requires robust scene under- standing. In this demonstration, we develop a prototype system that leverages our causal link prediction framework, CausalLP. CausalLP framework uses a visual causal knowledge graph and associated knowledge graph embedding for two visual causal question and answering tasks- (i) causal explanation and (ii) causal prediction. In the live demonstration sessions, the participants will be invited to test the efficiency and effectiveness of the system for visual causal question and answering.

Causal Neuro-Symbolic Ai For Root Cause Analysis In Smart Manufacturing, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

Root cause analysis is the process of investigating the cause of a failure and providing measures to prevent future failures. It is an active area of research due to the complexities in manufacturing production lines and the vast amount of data that requires manual inspection. We present a combined approach of causal neuro-symbolic AI for root cause analysis to identify failures in smart manufacturing production lines. We have used data from an industry-grade rocket assembly line and a simulation package to demonstrate the effectiveness and relevance of our approach.

Ontology Design Metapattern For Relationtype Role Composition, Utkarshani Jaimini, Ruwan Wickramarachchi, Cory Henson, Amit Sheth

Publications

RelationType is a metapattern that specifies a property in a knowledge graph that directly links the head of a triple with the type of the tail. This metapattern is useful for knowledge graph link prediction tasks, specifically when one wants to predict the type of a linked entity rather than the entity instance itself. The RelationType metapattern serves as a template for future extensions of an ontology with more fine-grained domain information.

Causal Knowledge Graph For Scene Understanding In Autonomous Driving, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

The current approaches to autonomous driving focus on learning from observation or simulated data. These approaches are based on correlations rather than causation. For safety-critical applications, like autonomous driving, it’s important to represent causal dependencies among variables in addition to the domain knowledge expressed in a knowledge graph. This will allow for a better understanding of causation during scenarios that have not been observed, such as malfunctions or accidents. The causal knowledge graph, coupled with domain knowledge, demonstrates how autonomous driving scenes can be represented, learned, and explained using counterfactual and intervention reasoning to infer and understand the behavior of …

How Do Scholars Conceptualize And Conduct Health And Digital Health Literacy Research? A Survey Of Federally Funded Scholars, Mayank Sakhuja, Brooks Yelton, Simon Kavarana, Lauren Schaurer, Jancham Rachel Rumthao, Samuel Noblet, Michelle Angelique Arent Rd, Mph, Cscs, Cissn, Mark M. Macauda Phd, Mph, Lorie Donelle Phd, Rn, Fcan, Daniela B. Friedman Ph.D.

Publications

Background: The concept of health literacy (HL) is constantly evolving, and social determinants of health (SDoH) have been receiving considerable attention in public health scholarship. Since a 1-size-fits-all approach for HL fails to account for multiple contextual factors and as a result poses challenges in improving literacy levels, there is a need to develop a deeper understanding of the current state of HL and digital health literacy (DHL) research.

Objective: This study examined scholars’ conceptualization and scope of work focused on HL and DHL.

Methods: Using a search string, investigators (N=2042) focusing on HL, DHL, or both were identified from …

The Role Of Cybersecurity In Bioinformatics For Aviation And Aerospace Safety, Sharon L. Burton

Publications

The intersection of bioinformatics and cybersecurity is critical to ensuring the privacy, integrity, and safety of biological data [1]. Bioinformatics is an interdisciplinary field that embodies the cyber age through its reliance on sophisticated algorithms, cloud computing, and secure data management practices, reflecting the profound digital transformation across various scientific disciplines [2].

Pilots' Desire To Become Future Space Tourism Pilots: Polynomial Regression Using Response Surface Analysis, Robert A. Goehlich, Ralf Bebenroth

Publications

In this study, we investigated the impact of pilots’ motivation on their desire to be space tourism pilots or to remain in their current occupation (adherence). We analyzed the feedback obtained from a survey questionnaire on a sample consisting of 106 pilots with flying experience. In particular, we compared the pilots’ intrinsic and extrinsic motivations to investigate two outcomes: the desire to become future space pilots or to remain as air pilots. Applying the self-determination theory, we found that intrinsic motivation mattered more than extrinsic motivation. Furthermore, by applying response surface analysis as our statistical tool, it was revealed that …

Investigating Retention Solutions For Women In Aviation Education And Flight Training, Jorge L.D. Albelo, Samantha Bowyer, Michael E. Wiggins

Publications

Despite advancements, women remain underrepresented in the aviation industry, particularly in pilot roles. Addressing this disparity, a university initiated the Women’s Ambassador Mentoring Program (WAMP) to enhance the recruitment and retention of female aviation students pursuing an aeronautical science degree. Concerns persist about insufficient support systems hindering progress. This study employs a transformative mixed methodology, utilizing both publicly available quantitative data and qualitative insights from program-involved students. The research assesses the growth in female aviation students compared to certified pilots, examining the university's enrollment and retention of female students over time. Emphasizing the necessity of a supportive culture, the study …

Advanced Air Mobility (Aam) Is Coming To A Town Near You...Are You Ready?, Sarah Nilsson

Publications

This briefing provides a high and low altitude view of what is coming in the way of Advanced Air Mobility (AAM) innovation. It is meant for county, town, or city officials; tribal governments; local businesspersons; airport, heliport, Fixed Base Operator (FBO), flight schools’ owners/operators; and other individuals; who wish to capitalize on, and prepare for, a US industry expected to hit around USD 68 Billion by 2032. Is your community or organization prepared for this new economy? Are your customers, or constituents accepting of these new technologies? Are you ready to capitalize on this AAM market and all the growth …

Disclosure Patterns Of Opioid Use Disorders In Perinatal Care During The Opioid Epidemic On X From 2019 To 2021: Thematic Analysis, Dezhi Wu, Minnie Ng, Saborny Sen Gupta, Phyllis Raynor Phd, Aprn, Pmhnp-Bc, Youyou Tao, Yang Ren, Peiyin Hung, Shan Qiao, Jiajia Zhang, Jennifer Fillo, Xiaoming Li, Constance Guille, Kacey Eichelberger, Bankole Olatosi

Publications

BACKGROUND: In 2021, the United States experienced a 14% rise in fatal drug overdoses totaling 106,699 deaths, driven by harmful opioid use, particularly among individuals in the perinatal period who face increased risks associated with opioid use disorders (OUDs). Increased concerns about the impacts of escalating harmful opioid use among pregnant and postpartum persons are rising. Most of the current limited perinatal OUD studies were conducted using traditional methods, such as interviews and randomized controlled trials to understand OUD treatment, risk factors, and associated adverse effects. However, little is known about how social media data, such as X, formerly known …

Pig Butchering In Cybersecurity: A Modern Social Engineering Threat, Sharon L. Burton, Pamela D. Moore

Publications

Pig butchering is an escalating cybersecurity threat that exploits social engineering to build trust and execute financial fraud. The relevance of this research problem lies in the growing incidence and sophistication of these scams, which have severe financial and psychological impacts on victims. The main purpose of this research is to uncover the methods used in pig butchering scams and their impact on individuals and businesses. The research focuses on digital platforms such as social media, dating apps, and professional networking sites, chosen for their wide user bases and the ease of establishing personal connections. The study period encompasses recent …

Assessing Safety Culture: Lessons From The Aviation Industry, Mirrette Gendi, Cheri L. Marcham, Michael O'Toole

Publications

SAFETY CULTURE has been a topic of debate in academia as much as it has been in the practice of various industries (Zohar, 2010). Although the concept and definition of safety culture and what it entails have consumed much of the debate, the assessment of safety culture has been the most controversial. Yet, on the academic level, the topic of monitoring and measuring safety culture has seen limited research that offers reliable and valid assessment tools (Goodheart & Smith, 2014), especially when compared to the importance of safety culture as a component of a safety management system (SMS).

Uncovering The Complexity Of Perinatal Polysubstance Use Disclosure Patterns On X: Mixed Methods Study, Dezhi Wu, Hannah Shead, Yang Ren, Phyllis Raynor Phd, Aprn, Pmhnp-Bc, Youyou Tao, Harvey Villanueva, Peiyin Hung, Xiaoming Li, Robert G. Brookshire, Kacey Eichelberger, Constance Guille, Alain H. Litwin, Bankole Olatosi Ph.D.

Publications

BACKGROUND: According to the Morbidity and Mortality Weekly Report, polysubstance use among pregnant women is prevalent, with 38.2% of those who consume alcohol also engaging in the use of one or more additional substances. However, the underlying mechanisms, contexts, and experiences of polysubstance use are unclear. Organic information is abundant on social media such as X (formerly Twitter). Traditional quantitative and qualitative methods, as well as natural language processing techniques, can be jointly used to derive insights into public opinions, sentiments, and clinical and public health policy implications. OBJECTIVE: Based on perinatal polysubstance use (PPU) data that we extracted on …

Mv-Qual: A Tool For Understanding Decisions To Purchase Virtual Products In The Metaverse, Fabienne Cadet, John T. Gironda, Bay O'Leary, Maria Petrescu

Publications

This paper develops the MV-QUAL (Metaverse Quality) scale and explores the various factors that may impact consumers’ perceptions of quality and value when purchasing virtual products in a Metaverse world. Utilizing Flow Theory and SERVQUAL as theoretical lenses to conduct our research, a framework was developed and tested, demonstrating how various factors are interconnected and impact consumers’ shopping experiences in the Metaverse. Data was collected from a national sample of 322 Metaverse users in the United States and analyzed using partial least squares structural equation modeling in SmartPLS, complemented by a neural network causal analysis in Neusrel. The results demonstrated …

Design Frameworks For Ventilative Cooling: Perceptions From Building Design Practitioners In Ireland And The United Kingdom, Maha Sohail, Adam O'Donovan, Paul D. O'Sullivan

Publications

The global increase in building cooling demands poses a challenge for designers striving for net zero energy consumption. The prevalent use of mechanical cooling underscores the necessity for designers to consider Ventilative Cooling as a viable alternative in the early stages of building design. This paper presents findings from an exploratory survey and semi-structured interviews of industry experts in Ireland and the United Kingdom about their design processes and experienced-based approaches to designing Ventilative Cooling. The findings suggest that the pre-design stage has the same influence for promoting ventilative cooling strategies as the schematic and detailed design stages for practitioners, …

Advanced Air Mobility (Aam) Is Coming To A Town Near You...Are You Ready?, Sarah Nilsson

Publications

This briefing provides a high and low altitude view of what is coming in the way of Advanced Air Mobility (AAM) innovation. It is meant for county, town, or city officials; tribal governments; local businesspersons; airport, heliport, Fixed Base Operator (FBO), flight schools’ owners/operators; and other individuals; who wish to capitalize on, and prepare for, a US industry expected to hit around USD 68 Billion by 2032. Is your community or organization prepared for this new economy? Are your customers, or constituents accepting of these new technologies? Are you ready to capitalize on this AAM market and all the growth …

Healthcare Assistance Challenges-Driven Neurosymbolic Ai, Kaushik Roy

Publications

Although Artificial Intelligence technology has proven effective in providing healthcare assistance by analyzing health data, it still falls short in supporting decision-making. This deficiency largely stems from the predominance of opaque neural networks, particularly in mental health care AI applications, which raise concerns about their unpredictable and unverifiable nature. This skepticism hinders the transition from information support to decision support. This presentation will explore neurosymbolic approaches that combine neural networks with symbolic control and verification mechanisms. These approaches aim to unlock AI’s full potential by enhancing information analysis and decision-making support for healthcare assistance.

Is Declined Cognitive Function Predictive For Fatal Accidents Involving Aging Pilots?, Douglas D. Boyd, Alan J. Stolzer

Publications

Civil aviation comprises airlines/charters and general aviation (GA). Currently, airlines are experiencing a pilot shortage, partly reflecting scheduled retirements mandatory for airline (but not GA) pilots aged 65 years, fueling a debate as to whether the retirement age should be increased. Herein, using 16–40 years-of-age aviators as a reference, we determined whether GA pilots aged 60+ years (i) incurred an elevated accident rate, employing, for the first time, age-tiered flight time as a measure of risk exposure and (ii) carried an excess risk for cognitive deficiency-related fatal accidents. Methods. Airplane accidents (2002–2016) involving Class 3 medical certificated pilots were per …

Evaluating The Role Of Data Enrichment Approaches Towards Rare Event Analysis In Manufacturing, Chathurangi Shyalika, Ruwan Wickramarachchi, Fadi El Kalach, Ramy Harik, Amit P. Sheth

Publications

Rare events are occurrences that take place with a significantly lower frequency than more common, regular events. These events can be categorized into distinct categories, from frequently rare to extremely rare, based on factors like the distribution of data and significant differences in rarity levels. In manufacturing domains, predicting such events is particularly important, as they lead to unplanned downtime, a shortening of equipment lifespans, and high energy consumption. Usually, the rarity of events is inversely correlated with the maturity of a manufacturing industry. Typically, the rarity of events affects the multivariate data generated within a manufacturing process to be …

Prospects For Time-Domain And Multi-Messenger Science With Axis, Riccardo Arcodia, Franz E. Bauer, S. Bradley Cenko, Kristen C. Dage, Daryl Haggard, Wynn C.G. Ho, Erin Kara, Michael Koss, Tingting Liu, Labani Mallick, Michela Negro, Pragati Pradhan, J. Quirola-Vásquez, Mark T. Reynolds, Claudio Ricci, Richard E. Rothschild, Navin Sridhar, Eleonora Troja, Yuhan Yao

Publications

The Advanced X-ray Imaging Satellite (AXIS) promises revolutionary science in the X-ray and multi-messenger time domain. AXIS will leverage excellent spatial resolution (< 1.5 arcsec), sensitivity (80× that of Swift), and a large collecting area (5–10× that of Chandra) across a 24-arcmin diameter field of view at soft X-ray energies (0.3–10.0 keV) to discover and characterize a wide range of X-ray transients from supernova-shock breakouts to tidal disruption events to highly variable supermassive black holes. The observatory’s ability to localize and monitor faint X-ray sources opens up new opportunities to hunt for counterparts to distant binary neutron star mergers, fast radio bursts, and exotic phenomena like fast X-ray transients. AXIS will offer a response time of < 2 h to community alerts, enabling studies of gravitational wave sources, high-energy neutrino emitters, X-ray binaries, magnetars, and other targets of opportunity. This white paper highlights some of the discovery science that will be driven by AXIS in this burgeoning field of time domain and multi-messenger astrophysics. This White Paper is part of a series commissioned for the AXIS Probe Concept Mission; additional AXIS White Papers can be found at the AXIS website.

Automatic Uncovering Of Patient Primary Concerns In Portal Messages Using A Fusion Framework Of Pretrained Language Models, Yang Ren, Yuqi Wu, Jungwei W. Fan, Aditya Khurana, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang

Publications

Objectives: The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI-driven solutions to streamline the healthcare workflow processes, ensuring timely responses to patients to satisfy their healthcare needs. However, there has been less focus on isolating and understanding patient primary concerns in PPMs-a practice which holds the potential to yield more nuanced insights and enhances the quality of healthcare delivery and patient-centered care. Materials and Methods: We propose a fusion framework to leverage pretrained language models (LMs) with different language advantages via a Convolution Neural …

Vertiport Ventures: Assessing Operational Feasibility For Evtol Integration In São Paulo’S Helipad And Heliport Infrastructure, Peter E. O'Reilly, Ramy A. Rahimi, Jorge Luiz Rosa Marques, Marco Aurélio Feitosa De A. L. Babadopulos1

Publications

The objective of this study is to assess the operational viability of introducing Electric Vertical Take-Of and Landing (eVTOL) vehicles in São Paulo and its metropolitan area, utilizing existing helipads and helicopter infrastructure. eVTOL aircraft, capable of vertical take-of and landing like helicopters, difer from traditional helicopters in their propulsion systems, with eVTOLs typically featuring multiple smaller electric motor-driven propulsion units instead of internal combustion engines and mechanical transmissions (Schuchardt et al. 2023). The study specifcally targets eVTOLs with the capacity to transport a minimum of four passengers and one pilot for distances of at least 50 km. Appendix provides …

Toward Concurrent Identification Of Human Activities With A Single Unifying Neural Network Classification: First Step, Andrew Smith, Musa Azeem, Chrisogonas O. Odhiambo, Pamela J. Wright Phd, Ms, Med, Rn, Cen, Hanim E. Diktas, Spencer Upton, Corby K. Martin, Brett Froeliger, Cynthia F. Corbett, Homayoun Valafar

Publications

The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably quantify human behavior. Better understanding human activities in unobtrusive and passive ways is an indispensable tool in understanding the relationship between behavioral determinants of health and diseases. Adult individuals (N = 60) emulated the behaviors of smoking, exercising, eating, and medication (pill) taking in a laboratory setting while equipped with smartwatches that captured accelerometer data. The collected data underwent expert annotation and was used to train a …