Digital Commons Network^™

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.

Journal Evaluation Workflow, Karen Burton

Publications

No abstract provided.

When Writers Lead The Lesson: Students As Teachers In Elementary Composing Spaces, Lindsey Rowe, Julie Johnson

Publications

The purpose of this article is to describe how teachers implemented student-led minilessons in writing instruction. We use observations from two elementary classrooms to provide examples of student-led instruction focused on digital and translingual composing. Through these examples, we outline three steps teachers can take to support student-led composing instruction: (1) look for innovative student composing practices, (2) yield the floor to students, and (3) lend support as needed. We conclude by discussing how student-led composing instruction positions children as experts and models in the classroom.

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 …

Expansive Framing Of Mathematics And Computer Science: Supporting Educators In Cross-Curricular Teaching, Kimberly Evagelatos Beck, Jessica F. Shumway, Patrick Ocran, Jody Clarke-Midura, Mimi Recker

Publications

Expansive Framing (EF) is a theory to explain transfer of learning and an instructional technique to facilitate transfer. We employed EF as an approach to create a series of integrated mathematics-computer science (CS) lesson plans and studied their implementation by teachers in two fifth-grade classrooms and a paraprofessional in one Computer Lab classroom. We used deductive theoretical qualitative analysis of transcripts of classroom implementations to investigate how educators used EF in their lessons. Findings suggested that educators most effectively engaged in EF principles when they were present in curricular materials. We recommend that mathematics-CS integrated curricular materials include framing language …

Should Social-Emotional Learning Be Embedded In The Elementary School Curriculum?, Orija Morohunkeji Yomi

Publications

No abstract provided.

An Examination Of Educators’ Approaches And Strategies When Facilitating Field Study Science Observations, Steph Dean, Devin A. Jones

Publications

The untapped potential of field study science is not being fully recognized or explored within the United States despite the recorded benefits of outdoor learning within K-12 settings. This research study contributes to the broader understanding of the affordances of field study science as an essential component of science education by investigating the approaches teachers adopt when facilitating scientific observations in an outdoor setting as well as specific strategies that support implementation. Engaging in qualitative content analysis allowed us to consider the descriptive concepts represented within K-12 teachers’ narratives as we determined patterns within the transcript documents. Seven themes were …

The Refractive Thinker®: Artificial Intelligence: The New Frontier Of The Digital Age: Ch 7: Navigating The Integration Of Ai In Higher Education: Opportunities, Challenges, And Ethical Considerations, Cheryl Lentz, Dr. Karen Balcanoff

Publications

As educators in higher education continue to learn the effects and influence of artificial intelligence (AI), there are questions regarding the role of educators. According to Bearman et al. (2023), more research has been conducted about AI technology rather than how AI will affect higher education institutes (HEI). The goal of this chapter was to begin to fill this gap regarding the how by offering discourse through a refractive thinking approach and review of the literature with practical application of this how, particularly in the areas of (a) ethics and cheating, (b) use of administrative repetitive tasks easily delegated, and …

Cognitive Manufacturing: Definition And Current Trends, Fadi El Kalach, Ibrahim Yousif, Thorsten Wuest, Amit Sheth, Ramy Harik

Publications

Manufacturing systems have recently witnessed a shift from the widely adopted automated systems seen throughout industry. The evolution of Industry 4.0 or Smart Manufacturing has led to the introduction of more autonomous systems focused on fault tolerant and customized production. These systems are required to utilize multimodal data such as machine status, sensory data, and domain knowledge for complex decision making processes. This level of intelligence can allow manufacturing systems to keep up with the ever-changing markets and intricate supply chain. Current manufacturing lines lack these capabilities and fall short of utilizing all generated data. This paper delves into the …

Investigating Community Of Inquiry And Cognitive Load, Emily K. Faulconer, Darryl Chamberlain, Beverly Wood

Publications

This project will design and research a pilot program for infusing best practices into online discussion forums in STEM courses to reduce extraneous load, improve instructional presence, instructor social presence, student social presence, and student cognitive presence.

Navigating Consumption Streams: Toward A Utilitarian–Hedonic Perspective On Subscription Box Customer Journeys, Ishani Banerji, Aditya Gupta, Seth Ketron

Publications

Given persistent challenges faced by subscription box retailers in acquiring and retaining customers, there is an urgent need to understand decision-making and sources of value at each stage of the subscription box customer journey. As extant research has frequently focused on the customers' decision to subscribe, relatively little work has explored why they choose to continue or cancel their subscriptions. We contend that a way forward in understanding subscription box customer journeys is to adopt a utilitarian–hedonic perspective when looking at each stage of such journeys. We conduct phenomenological in-depth interviews with 26 subscription box customers and use the thematic …

Securing Tomorrow: Synergizing Change Management And Cybersecurity In The Digital Era, Sharon L. Burton

Publications

In the rapidly evolving business environment of 2024, organizational change management (OCM) leaders face unprecedented challenges driven by technological advancements, digital transformation, the integration of remote work, and a heightened focus on sustainability. This study examines the efficacy of traditional OCM models in addressing these modern complexities. Through a qualitative methodology employing an extensive literature review, the research identifies vital issues such as resistance to change, digital transformation imperatives, the shift to remote and hybrid work models, and the imperative for sustainable and ethical business practices. The study posits that while classical OCM frameworks offer foundational insights, there is a …

Short- And Long-Term Predicted And Witnessed Consequences Of Digital Surveillance During The Covid-19 Pandemic: Scoping Review, Leigha Comer, Lorie Donelle Phd, Rn, Fcan, Bradley Hiebert, Maxwell J. Smith, Anita Kothari, Saverio Stranges, Jason Gilliland, Jed Long, Jacquelyn Burkell, Jacob J. Shelley, Jodi Hall, James Shelley, Tommy Cooke, Marionette Ngole Dione, Danica Facca

Publications

BACKGROUND: The COVID-19 pandemic has prompted the deployment of digital technologies for public health surveillance globally. The rapid development and use of these technologies have curtailed opportunities to fully consider their potential impacts (eg, for human rights, civil liberties, privacy, and marginalization of vulnerable groups). OBJECTIVE: We conducted a scoping review of peer-reviewed and gray literature to identify the types and applications of digital technologies used for surveillance during the COVID-19 pandemic and the predicted and witnessed consequences of digital surveillance. METHODS: Our methodology was informed by the 5-stage methodological framework to guide scoping reviews: identifying the research question; identifying …

Ri2ap: Robust And Interpretable 2d Anomaly Prediction In Assembly Pipelines, Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Fadi El Kalach, Yuxin Zi, Priya Mittal, Vignesh Narayanan, Ramy Harik, Amit Sheth

Publications

Predicting anomalies in manufacturing assembly lines is crucial for reducing time and labor costs and improving processes. For instance, in rocket assembly, premature part failures can lead to significant financial losses and labor inefficiencies. With the abundance of sensor data in the Industry 4.0 era, machine learning (ML) offers potential for early anomaly detection. However, current ML methods for anomaly prediction have limitations, with F1 measure scores of only 50% and 66% for prediction and detection, respectively. This is due to challenges like the rarity of anomalous events, scarcity of high-fidelity simulation data (actual data are expensive), and the complex …

Chandra Hetg X-Ray Spectra And Variability Of Π Aqr, A Γ Cas-Type Be Star, David P. Huenemoerder, Pragati Pradhan, Claude R. Canizares, Sean Gunderson, Richard Ignace, Joy S. Nichols, A.M.T. Pollock, Norbert S. Schulz, Dustin K. Swarm, José M. Torrejón

Publications

High-resolution X-ray spectra of π Aqr, a γ Cas-type star, obtained with the Chandra/HETG spectrometer, revealed emission lines of H-like ions of Mg, Si, S, and Fe; a strong, hard continuum; and a lack of He-like ions, indicating the presence of very hot thermal plasma. The X-ray light curve showed significant fluctuations, with coherent variability at a period of about 3400 s in one observation. The hardness ratio was relatively constant except for one observation in which the spectrum was much harder and more absorbed. We interpret the X-ray emission as arising from accretion onto the secondary, which is likely …

Experiences Of Families Bereaved By Opioid-Related Death, Danielle Hicks, Emily Phasman, Sydney O'Shay, Luisa Kcomt, Stella Resko

Publications

Family members bereaved by a drug-related death are underserved. In-depth semi-structured interviews were conducted with 12 people bereaved by a close family member’s opioid-related death. Reflexive thematic analysis was used to identify themes in four areas: emotional responses (e.g. anticipatory grief), communication about the death (i.e. open or closed), supports (e.g. social or formal), and advice for others who lost a family member to opioid-related death. Findings highlight the need to support and reduce stigma toward people who use drugs and their families. This study guides social work practice by identifying the needs of families bereaved by opioid-related death.

Assessing The Role Of Public Policy In Fostering Global Eco-Innovation, Phaninee Naruetharadhol, Aisling Conwaylenihan, Helen Mcguirk

Publications

The growing urgency of environmental problems, such as climate change, pollution, and waste management, has highlighted the importance of eco-innovation. It includes the development of sustainable solutions for goods and services. As corporations adopt sustainability practices, governments are increasingly essential in propelling eco-innovation.

Innovation and economic growth are inextricably linked since innovation helps reduce costs, increases productivity, and builds knowledge. Eco-innovation, requiring stakeholders' collaboration and knowledge sharing where public policy plays a critical role in fostering eco-innovation, is frequently catalyzed by climate change and environmental issues.

This paper provides an assessment of the public policy of several countries and its …

Duality Of Ensemble Systems Through Moment Representations, Vignesh Narayanan, Wei Zhang, Jr-Shin Li

Publications

Controlling large-scale dynamic population systems, known as ensemble control, is a pervasive and essential task in many emerging applications from diverse scientific domains. Previous focuses in the area of ensemble control have been placed on seeking open-loop control strategies due to unavailability of state feedback information for each individual system in the ensemble. In this paper, we develop a foundational framework for analysis and control of ensemble systems with closed feedback control loops. We introduce the notion of ensemble moments and construct moment systems associated with the ensemble systems. By extending the classical moment problem in mathematical analysis and statistics, …

Examining Higher Education Through Hyflex, Emily Howell, Sandra Linder, Joseph Ryan, William C. Bridges

Publications

This design-based research (DBR) study investigated the following research question: How can the HyFlex instructional model be leveraged to create more accessible and equitable education for graduate students? To address this question, the researchers explored two education doctoral courses in the USA, with 37 participants for one semester. The essential elements of the intervention included the following: digital, multimodal tools; equity of online and face-to-face learning environments; and engagement in community. A mixed methods approach to data collection and analysis was utilised in accordance with the DBR framework, including inhibiting and enhancing factors of the intervention, modifications made, unanticipated outcomes, …

Social Context During Moral Decision-Making Impacts Males More Than Females, June J. Pilcher, Phillip D. Smith

Publications

Moral judgments are often viewed as the outcome of affective and deliberative processes that could be impacted by social factors and individual characteristics. The purpose of this study was to examine the interaction between gender and social context on moral judgment. Participants included 315 undergraduate students (67.3% female). The participants completed the Moral Decision-Making Task while seated at row tables facing the front of the room or round tables facing other participants. The results indicated that males responded in a more utilitarian manner (harm one to save five) than females for moral impersonal (MI) and moral personal (MP) dilemmas regardless …

A 5-Year Longitudinal Structural Equation Model Of Social Isolation And Probable Major Depression Among Participants With Spinal Cord Injury, Chao Li, Susan Newman Phd, Rn, Crrn, Faan, Jillian M. Clark, James S. Krause

Publications

OBJECTIVE: To develop longitudinal structural models of social isolation and probable major depression (PMD) over a 5-year interval among participants with spinal cord injury (SCI). DESIGN: Longitudinal structural equation modeling of self-report assessments collected during two follow-ups (2013 as Time 1, 2018 as Time 2) of a 45-year multicohort longitudinal study. Participants (n = 557) were identified from a specialty hospital in the Southeastern United States and two Midwestern hospitals and were initially enrolled in 1973-1974, 1984-1985, 1993-1994, or 2003-2004. PMD symptomology was measured by the Patient Health Questionnaire-9 (PHQ-9) and was defined by PHQ-9 scores ≥ 10. Social isolation …

Farm Electricity System Simulator (Fess): A Platform For Simulating Electricity Utilisation On Dairy Farms, F. Buckley, J. Upton, R. Prendergast, L. Shalloo, Michael D. Murphy

Publications

The objective of this paper was to define, validate and demonstrate a model capable of accurately simulating dairy farm electricity consumption across varying herd and parlour sizes, to facilitate research investigating renewable energy systems (RES) and demand side management (DSM). The Farm Electricity System Simulator (FESS) was developed using grey-box modelling techniques utilizing empirical data for parameter tuning. Empirical data were gathered from nine spring calving, pasture based dairy farms located in the Republic of Ireland. A k-means clustering analysis was conducted, separating the farms into three, near homogenous groups, from which representative farms were selected. FESS was trained using …

Optimal Environmental And Economic Performance Trade-Offs For Fifth Generation District Heating And Cooling Network Topologies With Waste Heat Recovery, Michael D. Murphy

Publications

Network topology greatly influences both the economic and environmental performance of fifth generation district heating and cooling (5GDHC) systems. In this study the optimal trade-offs between the environmental and economic performance of 5GDHC network topologies for a five-building district with waste heat recovery were explored. A life cycle assessment method was used to calculate the total life cycle CO2 emissions (LCCO2) associated with the installation and operation of various network topologies. Twelve months of empirical data from a data center cooling system were analyzed to assess its suitability for integration into a 5GDHC system. The most suitable method for utilizing …

A Climatology Of North American Monsoon Precipitation Over Arizona From Mrms Data, Greta Graeler, Mark Sinclair, Curtis N. James

Publications

The North American Monsoon (NAM) is a seasonal shift in pressure and wind which accounts for over half of the southwest’s annual precipitation. North-central Arizona has variable terrain which influences the location and intensity of convective storms. Severe weather such as strong winds, lightning, and hail can cause loss of life, property, and fires. High spatial and temporal resolution data along with reanalysis data is used to identify convective cells and their motion for the 2015 to 2022 NAM seasons. The heaviest precipitation in north-central Arizona is found over the Bradshaw Mountains and is most active in July and August. …

Review Of Methodological Decisions In Life Cycle Assessment (Lca) Of Biorefinery Systems Across Feedstock Categories, James Gaffey, Maurice N. Collins, David Styles

Publications

The application of life cycle assessment (LCA) to biorefineries is a necessary step to estimate their environmental sustainability. This review explores contemporary LCA biorefinery studies, across different feedstock categories, to understand approaches in dealing with key methodological decisions which arise, including system boundaries, consequential or attributional approach, allocation, inventory data, land use changes, product end-of-life (EOL), biogenic carbon storage, impact assessment and use of uncertainty analysis. From an initial collection of 81 studies, 59 were included within the final analysis, comprising 22 studies which involved dedicated feedstocks, 34 which involved residue feedstocks (including by-products and wastes), and a further 3 …

Reaching Teachers Of Early Multilingual Learners Through Professional Development: A Systematic Literature Review, Hazel Vega, Emily Howell, Rebecca Kaminski, C.C. Bates

Publications

This systematic literature review synthesises 49 studies exploring teacher professional development (PD) focused on the education of multilingual learners (MLs). Specifically, we examined PD design for in-service mainstream classroom teachers serving MLs in early elementary grades. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for transparent reporting in systematic reviews, including the four phases of identification, screening, eligibility, and inclusion. Findings show that although the content of PD has covered foundational literacy areas, such as vocabulary and comprehension, more attention is needed on integration of culture and MLs’ linguistic repertoires. Results also show that PD …

A Crosswalk Of Digital Storytelling And Multilingual Learning, Nicole Ferguson-Sams, Emily Howell, Rebecca Kaminski, Victoria Pennington, Mihaela Gazioglu, Kavita Mittapalli

Publications

This study draws on the practice of digital storytelling (DST) to address the limited use of technology in middle school multilingual classrooms. Through critical and multiliteracy frameworks, DST can help create a more engaging and inclusive learning environment that supports the literacy development of multilingual learners (MLs). After reviewing and synthesizing empirical studies on DST as it applies to the middle school years, we provide a crosswalk focusing on four core areas: content, context, communication and language, and student identity. The crosswalk reveals how DST integrates Web 2.0 technology and promotes language and literacy development among middle school MLs.

Democratic Policing, Building Trust, And Willingness To Call 911: Examining The Relationship Between Law Enforcement Legitimacy And Calling The Police, Kyle Mclean, Brian Lee Miller, Andrew S. Pyle, Olivia Bauwens

Publications

Recent debates over policing have centered on the proper role of policing in society. Using the lenses of democratic policing and police legitimacy, we suggest that individuals’ willingness to call the police is one method for understanding the public’s consent to be policed and their view of the appropriate role of policing. This simple relationship is further complicated by differential relationships between willingness to cooperate with the police and four typologies of police legitimacy: trustworthiness, normative alignment, obligation to obey, and traditional legitimacy. Using the pretest and posttest of a survey vignette, we show that (1) individuals who legitimate the …