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Articles 121 - 150 of 2389
Full-Text Articles in Entire DC Network
Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff
Surgical Suturing Skill Assessment Using Estimated Hand Roll Angle From A Deep-Learning Computer Vision Algorithm, Jianxin Gao, Amir Mehdi Shayan, Simar P. Singh, Joe Bible, Ravikiran Singapogu, Richard E. Groff
Publications
This paper proposes a deep-learning computer vision algorithm to estimate hand roll angles for metric-based assessment of surgical suturing skills. The number of rolls metric, previously calculated directly from IMU data, counts the number of hand roll reversals during a single suture. To calculate this metric using computer vision, we apply a deep-learning algorithm that can reliably estimate hand roll angles after training on suturing videos collected on the SutureCoach simulator. Results show that the estimation accuracy of the deep-learning algorithm is robust to different video backgrounds. The number of rolls metrics were used to analyze suturing performance in the …
Sharp Periodic Flares And Long-Term Variability In The High-Mass X-Ray Binary Xte J1829−098 From Rxte Pca, Swift Bat, And Maxi Observations, Robin H.D. Corbet, Ralf Ballhausen, Peter A. Becker, Joel B. Coley, Felix Fuerst, Keith C. Gendreau, Sebastien Guillot, Nazma Islam, Gaurava Kumar Jaisawal, Peter Jenke, Peter Kretschmar, Alexander Lange, Christian Malacaria, Mason Ng, Katja Pottschmidt, Pragati Pradhan, Paul S. Ray, Richard E. Rothschild, Philipp Thalhammer, Lee J. Townsend, Joern Wilms, Colleen A. Wilson-Hodge, Michael T. Wolff
Sharp Periodic Flares And Long-Term Variability In The High-Mass X-Ray Binary Xte J1829−098 From Rxte Pca, Swift Bat, And Maxi Observations, Robin H.D. Corbet, Ralf Ballhausen, Peter A. Becker, Joel B. Coley, Felix Fuerst, Keith C. Gendreau, Sebastien Guillot, Nazma Islam, Gaurava Kumar Jaisawal, Peter Jenke, Peter Kretschmar, Alexander Lange, Christian Malacaria, Mason Ng, Katja Pottschmidt, Pragati Pradhan, Paul S. Ray, Richard E. Rothschild, Philipp Thalhammer, Lee J. Townsend, Joern Wilms, Colleen A. Wilson-Hodge, Michael T. Wolff
Publications
XTE J1829−098 is a transient X-ray pulsar with a period of ∼7.8 s. It is a candidate Be star system, although the evidence for this is not yet definitive. We investigated the twenty-year-long X-ray light curve using the Rossi X-ray Timing Explorer Proportional Counter Array (PCA), Neil Gehrels Swift Observatory Burst Alert Telescope, and the Monitor of All-sky X-ray Image. We find that all three light curves are clearly modulated on the ∼244 days orbital period previously reported from PCA monitoring observations, with outbursts confined to a narrow phase range. The light curves also show that XTE J1829−098 was in …
Legal And Ethical Considerations For Balancing Space Innovation And Dark Sky Preservation, Sara M. Langston, Kayla D. Taylor
Legal And Ethical Considerations For Balancing Space Innovation And Dark Sky Preservation, Sara M. Langston, Kayla D. Taylor
Publications
The proliferation of satellites in Earth’s orbit has significantly enhanced capabilities in communication, Earth observation, and scientific research. However, this rapid expansion presents considerable legal and ethical challenges, particularly regarding the preservation of dark and quiet skies. As low Earth orbit becomes increasingly congested, the implications for astronomical observation, environmental integrity, and cultural heritage require critical examination.
This presentation provides an interdisciplinary perspective on the legal, practical and ethical considerations essential for preserving dark and quiet skies. It begins by exploring the legal frameworks governing the use of space, highlighting relevant international treaties, national responsibilities, and emerging issues aimed at …
Investigating Retention Solutions For Women In Aviation Education And Flight Training, Jorge L.D. Albelo, Samantha Bowyer, Michael E. Wiggins
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 …
Mold And Dampness In The Built Environment, Cheryl Marcham
Mold And Dampness In The Built Environment, Cheryl Marcham
Publications
This white paper calls on certified industrial hygienists and IH/OEHS professionals who practice in this area to be informed about the important of systematic building inspections and the strengths and weaknesses of sampling methods. It provides information on common misapprehensions in the lay community about such issues as mycotoxins.
Revolutionizing Public Safety And Criminal Justice Through Ai, Alan Saquella
Revolutionizing Public Safety And Criminal Justice Through Ai, Alan Saquella
Publications
Artificial Intelligence (AI) is rapidly transforming public safety, criminal justice and security by fundamentally changing how crimes are committed, investigated and prevented. As AI tools become increasingly sophisticated, law enforcement and corporate security professionals are utilizing these advancements to enhance their capabilities. However, integrating AI into these sectors also brings significant challenges, including ethical concerns, recruitment difficulties, and the surge in crime rates. This article examines the transformative impact of AI, the ongoing efforts to unify AI applications across public safety and security sectors, and expert advice on overcoming the associated challenges.
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.
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 …
Prototypically Small: An Exploration Of Consumers’ Small Business Prototypes, Michael R. Jenkins
Prototypically Small: An Exploration Of Consumers’ Small Business Prototypes, Michael R. Jenkins
Publications
Purpose
As consumers interact with various small businesses, they develop a mental image, called a prototype, to represent what small businesses are as a generalized, conceptual category. However, prior research has said little about what this small business prototype entails. Thus, the aim of this study is to explore consumers’ perceptions of the prototypical small business by identifying common attributes among small businesses that differentiate them from large businesses.
Design/methodology/approach
This study undertakes a thorough review of the relevant consumer research literature for the attributes that consumers use to evaluate small businesses. Then, using a contemporary parallel analysis approach, it …
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
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.
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
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
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 …
Examining The Role Of Parental Support On Youth's Interest In And Self-Efficacy Of Computer Programming, Umar Shehzad, Jody Clarke-Midura, Mimi Recker
Examining The Role Of Parental Support On Youth's Interest In And Self-Efficacy Of Computer Programming, Umar Shehzad, Jody Clarke-Midura, Mimi Recker
Publications
Objectives. The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening participation of underrepresented students in CS. While such initiatives are vital, factors outside of the school environment also play a role in influencing students' interests. In this paper, we examined the effects of students' perceived parental support on their interest in computer programming and explored the mechanisms through which this effect may have been established as students participated in an introductory CS instructional unit.
Participants. This instructional unit was …
Investigating Community Of Inquiry And Cognitive Load, Emily K. Faulconer, Darryl Chamberlain, Beverly Wood
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.
An In-Depth Analysis Of The Variable Cyclotron Lines In Gx 301−2, Nicolas Zalot, Ekaterina Sokolova-Lapa, Jakob Stierhof, Ralf Ballhausen, Aafia Zainab, Katja Pottschmidt, Felix Fürst, Philipp Thalhammer, Nazma Islam, Camille M. Diez, Peter Kretschmar, Katrin Berger, Richard Rothschild, Christian Malacaria, Pragati Pradhan, Jörn Wilms
An In-Depth Analysis Of The Variable Cyclotron Lines In Gx 301−2, Nicolas Zalot, Ekaterina Sokolova-Lapa, Jakob Stierhof, Ralf Ballhausen, Aafia Zainab, Katja Pottschmidt, Felix Fürst, Philipp Thalhammer, Nazma Islam, Camille M. Diez, Peter Kretschmar, Katrin Berger, Richard Rothschild, Christian Malacaria, Pragati Pradhan, Jörn Wilms
Publications
Context. The high-mass X-ray binary system GX 301−2 is a persistent source with a well-known variable cyclotron line centered at 35 keV. Recently, a second cyclotron line at 50 keV has been reported with a presumably different behavior than the 35 keV line. Aims. We investigate the presence of the newly discovered cyclotron line in the phase-averaged and phase-resolved spectra at higher luminosities than before. We further aim to determine the pulse-phase variability of both lines.
Methods. We analyze a NuSTAR observation of GX 301−2 covering the pre-periastron flare, where the source luminosity reached its peak of ∼4×1037 …
A Retrospective Review: Oxford County Wellness Collaborative's Contributions To Community Health, Emma Schwartz, Rachel T. Gallo Mph
A Retrospective Review: Oxford County Wellness Collaborative's Contributions To Community Health, Emma Schwartz, Rachel T. Gallo Mph
Publications
Since 2011, Oxford County Wellness Collaborative (OCWC) has been transforming personal, environmental, and economic health by building strong relationships among people and organizations. OCWC contracted with the Data Innovation Project at the Catherine Cutler Institute of Health and Social Policy to synthesize previously collected or reported data and collect primary data to conduct a retrospective evaluation. The evaluation team used this data to convey past successes, better understand the outcomes of the collaborative to date, and provide recommendations for OCWC’s next steps in furthering its impact.
Securing Tomorrow: Synergizing Change Management And Cybersecurity In The Digital Era, Sharon L. Burton
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 …
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
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 …
Community Of Inquiry And Cognitive Load In Online Stem: Transferability Plan, Emily Faulconer, Darryl Chamberlain, Beverly Wood
Community Of Inquiry And Cognitive Load In Online Stem: Transferability Plan, Emily Faulconer, Darryl Chamberlain, Beverly Wood
Publications
This document presents evidence in support of the Community of Inquiry and Cognitive Load Framework (Supported by NSF #204430), with Guidance on translating this framework to additional contexts within the studied institution and beyond.
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
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 …
Duality Of Ensemble Systems Through Moment Representations, Vignesh Narayanan, Wei Zhang, Jr-Shin Li
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, …
Energy Dependence Of Quasi-Periodic Oscillations In Accreting X-Ray Pulsars, Hemanth Manikantan, Biswajit Paul, Rahul Sharma, Pragati Pradhan, Vikram Rana
Energy Dependence Of Quasi-Periodic Oscillations In Accreting X-Ray Pulsars, Hemanth Manikantan, Biswajit Paul, Rahul Sharma, Pragati Pradhan, Vikram Rana
Publications
We present the results from an investigation of the energy dependence of quasi-periodic oscillations (QPOs) exhibited by accreting X-ray pulsars using data from archival XMM-Newton, NuSTAR, RXTE, and NICER observations. In a search for the presence of QPOs in 99 XMM-Newton and NuSTAR observations, we detected QPOs in eleven observations of five sources, viz., 4U 1626–67 (48 mHz), IGR J19294+1816 (30 mHz), V 0332+53 (2, 18, and 40 mHz), Cen X–3 (30 mHz), and XTE J1858+034 (180 mHz). A positive correlation of the QPO rms amplitude with energy is exhibited by 4U 1626–67, IGR J19294+1816, Cen X–3 and XTE J1858+034, …
Examining Higher Education Through Hyflex, Emily Howell, Sandra Linder, Joseph Ryan, William C. Bridges
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, …
Aspirations Incubator: 2017–2023 Final Evaluation Report, Sarah Goan, Elora Way, Emma Schwartz, Becky Wurwarg
Aspirations Incubator: 2017–2023 Final Evaluation Report, Sarah Goan, Elora Way, Emma Schwartz, Becky Wurwarg
Publications
The Rural Futures Fund launched the Aspirations Incubator in 2017 as a six-year pilot initiative aimed at supporting youth development in rural Maine by increasing resiliency, fostering connections to communities, and expanding students’ awareness of opportunities beyond their everyday environments. The program partnered with select rural youth organizations to build capacity for mentoring-based programs serving students from seventh grade through high school graduation. Guided by the Trekkers Youth Programming Principles, the initiative focused on long-term mentorship, meaningful relationship-building, and community engagement. A comprehensive multi-year evaluation conducted by the Data Innovation Project at the University of Southern Maine examined the implementation …
A Climatology Of North American Monsoon Precipitation Over Arizona From Mrms Data, Greta Graeler, Mark Sinclair, Curtis N. James
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. …
Gathering Nuanced Data For Understanding Student Withdrawals, Beverly Wood, Emily Faulconer, Darryl Chamberlain
Gathering Nuanced Data For Understanding Student Withdrawals, Beverly Wood, Emily Faulconer, Darryl Chamberlain
Publications
This white paper argues that the current system for collecting data on student withdrawals at their university is inadequate. The current withdrawal form lacks detail and makes it difficult to understand the reasons why students leave courses. This is a problem because it hinders efforts to improve student persistence (completion of courses).
Key Points:
- The university's strategic plan emphasizes student experience, enrollment management, and academic excellence. High withdrawal rates undermine these goals.
- Researchers developed a research-based nuanced framework for understanding withdrawal reasons.
- The current withdrawal form offers limited options for students to explain why they are withdrawing; the current form …
Volumetric Reconstruction Of Ionospheric Electric Currents From Tri-Static Incoherent Scatter Radar Measurements, Jone Peter Reistad, Spencer Mark Hatch, Karl M. Laundal, Kjellmar Oksavik, Matthew David Zettergren, Heikki Vanhamaki, Ilkka I. Virtanen
Volumetric Reconstruction Of Ionospheric Electric Currents From Tri-Static Incoherent Scatter Radar Measurements, Jone Peter Reistad, Spencer Mark Hatch, Karl M. Laundal, Kjellmar Oksavik, Matthew David Zettergren, Heikki Vanhamaki, Ilkka I. Virtanen
Publications
We present a new technique for the upcoming tri-static incoherent scatter radar system EISCAT 3D (E3D) to perform a volumetric reconstruction of the 3D ionospheric electric current density vector field, focusing on the feasibility of the E3D system. The input to our volumetric reconstruction technique are estimates of the 3D current density perpendicular to the main magnetic field, $\mathbf{j} \perp$, and its co-variance, to be obtained from E3D observations based on two main assumptions: 1) Ions fully magnetised above the $E$ region, set to 200 km here. 2) Electrons fully magnetised above the base of our domain, set to 90 …
From Crossing Campus To Crossing Continents: Faculty, Chair, And Global Partner Perspectives On An International Sabbatical, Emily Faulconer, Beverly L. Wood, Stephen George-Williams
From Crossing Campus To Crossing Continents: Faculty, Chair, And Global Partner Perspectives On An International Sabbatical, Emily Faulconer, Beverly L. Wood, Stephen George-Williams
Publications
A sabbatical – a period of paid leave granted to faculty for research or study - is a construct in higher education that has experienced ebbs and flows in its favorability, though there are persistent arguments that it is important for research-active faculty (Pietsch, 2011). Early career faculty are focused on achieving tenure as this is high stakes at most institutions. Once tenure is achieved, the next goalpost is full professor. The day-to-day responsibilities of faculty can distract from and dilute efforts aimed at strategic planning, long-term planning, and reflection necessary to achieve this level of promotion. So it follows …
Exploring Practical Measures As An Approach For Measuring Elementary Students’ Attitudes Towards Computer Science, Umar Shehzad, Mimi M. Recker, Jody E. Clarke-Midura
Exploring Practical Measures As An Approach For Measuring Elementary Students’ Attitudes Towards Computer Science, Umar Shehzad, Mimi M. Recker, Jody E. Clarke-Midura
Publications
This paper presents a novel approach for predicting the outcomes of elementary students’ participation in computer science (CS) instruction by using exit tickets, a type of practical measure, where students provide rapid feedback on their instructional experiences. Such feedback can help teachers to inform ongoing teaching and instructional practices. We fit a Structural Equation Model to examine whether students' perceptions of enjoyment, ease, and connections between mathematics and CS in an integrated lesson predicted their affective outcomes in self-efficacy, interest, and CS identity, collected in a pre- post- survey. We found that practical measures can validly measure student experiences.
Neonatal Autonomic Regulation As A Predictor Of Autism Spectrum Disorder In Very Preterm Infants, Jessica Bradshaw, Christian O'Reilly, Kayla C. Everhart, Elizabeth Dixon, Amy Vinyard, Abbas Tavakoli Drph, Robin B. Dail
Neonatal Autonomic Regulation As A Predictor Of Autism Spectrum Disorder In Very Preterm Infants, Jessica Bradshaw, Christian O'Reilly, Kayla C. Everhart, Elizabeth Dixon, Amy Vinyard, Abbas Tavakoli Drph, Robin B. Dail
Publications
Infants born preterm are at a significantly higher likelihood of having autism spectrum disorder (ASD), with reports of a 10-fold increase in the rate of ASD for very preterm infants (VPT, born <32 weeks gestation) [1] and a 20-fold increase for extremely preterm infants (born <28 weeks gestation) [2]. Yet, the etiological link between preterm birth and ASD remains unknown. Preterm birth and ASD are both associated with neurological differences, notably autonomic nervous system (ANS) dysfunction. ANS dysfunction can be measured using abnormal heart rate characteristics (HRCs) and thermal gradients (TGs), and previous research has linked ANS dysfunction to neurodevelopmental impairment and autism-specific outcomes. …28>32>
Interferometric Imaging With Eiscat_3d For Fine-Scale In-Beam Incoherent Scatter Spectra Measurements, M. Zettergren, Devin Huyghebaert, Björn Gustavsson, Juha Vierinen, Andreas Kvammen, John Swoboda, Ilkka Virtanen, Spencer Hatch, Karl M. Laundal
Interferometric Imaging With Eiscat_3d For Fine-Scale In-Beam Incoherent Scatter Spectra Measurements, M. Zettergren, Devin Huyghebaert, Björn Gustavsson, Juha Vierinen, Andreas Kvammen, John Swoboda, Ilkka Virtanen, Spencer Hatch, Karl M. Laundal
Publications
The 233 MHz EISCAT_3D radar system currently under construction in northern Fennoscandia will be able to resolve ionospheric structures smaller than the transmit beam dimensions through the use of interferometric imaging. This capability is made possible by the modular design and digitization of the 119 91-antenna panels located at the main Skibotn site. The main array consists of a cluster of 109 panels, with 10 outlier panels producing unique interferometry baselines. In the present study synthesized incoherent scatter radar signal measurements are used for interferometric imaging analysis with the EISCAT_3D system. The Geospace Environment Model of Ion-Neutral Interactions (GEMINI) model …