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111-120 of 265 results

  • CONVECT (CONvection and water Vapor Exchange in Complex Terrain)

    PI Curtis James

    CO-I Ronny Schroeder

    CONVECT is a major meteorological field research project being proposed for July - August 2027 in north-central Arizona. The project is aimed at improving our understanding and ability to predict the convective development, propagation, and intensification of thunderstorms during the North American Monsoon (NAM)



    CONVECT is focused in north-central Arizona between the cities of Prescott and Flagstaff. This targeted region, encompassing the Bradshaw Mountains, Black Hills, Verde and Prescott Valleys, and Mogollon Rim, provides an ideal laboratory for investigating processes connecting complex terrain to boundary-layer and convective processes. During the summer monsoon season, this region experiences frequent deep, precipitating convection. These storms typically initiate over the most prominent terrain features and sometimes propagate into the populated lower lying areas or send out density currents or buoyancy bores that subsequently initiate new convection. The thunderstorms are generally spatially localized, forming over a deep convective boundary layer, but are often associated with pulse-severe conditions (damaging wind gusts or large hail). Some cells may become terrain-locked or exhibit back-building behavior, leading to intense rainfall and flash flooding.


    CONVECT will also examine the water vapor sources and land-atmosphere interactions favoring convective initiation. Our previous work has shown that soil moisture is an important predictor of monsoon convection. We will therefore examine the effects of soil moisture variability on surface and PBL energy and moisture exchange over heterogeneous, sloping surfaces within a thermally driven planetary boundary layer (PBL). The proposed deployment includes a dense network of surface flux and energy balance probes, lower-tropospheric thermodynamic and kinematic profiling systems, mobile radars, and crewed and uncrewed aircraft with in-situ and remote sensors. The campaign will be carefully guided by multi-scale modeling and our machine learning model, and in turn, experimental observations will be assimilated to evaluate their impact on multi-scale predictability and the validity of surface layer and PBL parameterizations in complex terrain. The CONVECT science team of instrument scientists and numerical modelers contains the necessary, complementary expertise in the surface layer, the boundary layer, and deep convection to substantially advance understanding of water vapor exchanges between the surface and free troposphere, as well as extreme precipitation. The broader impacts will be improved forecast accuracy during the North American Monsoon by identifying improvements in operational instrumentation networks and forecast model parameterizations.

    Categories: Faculty-Staff

  • 3D Printing of Continuous Carbon Fiber Composites with Programmable Thermal Behaviors: A Proactive Safety Design for Advanced Thermal Management

    PI Yizhou Jiang

    CO-I Leitao Chen

    CO-I Yanbing Chen

    ​This study aimed to fabricate composite materials, i.e. continuous carbon fibers reinforced thermoset composites (CCFRTC), in a way that makes heat transfer predictable, enabling effective control measures. The ability to control thermal transfer through 3D-printing can lead to significant improvements in preventing thermal-related accidents.

    Findings: Final report submitted 9/24. This study demonstrated the adaptability and precision of the team’s 3D printing method but also underscored its potential in advancing the field of thermosetting composite material manufacturing, paving the way for innovative applications, including fire suppression systems.

    Categories: Faculty-Staff

  • Cyber hygiene and cyber insurance current practice research

    PI Wendi Kappers

    CO-I Aaron Glassman

    CO-I Michael Wills

    Identify the market uptake and applicability of cyber hygiene models, particularly within small to medium enterprises, and relate this to current market practices in the use of cyber insurance policies and mechanisms as part of risk mitigation and management.

    The cybersecurity and information risk management marketplace abounds in "top ten" lists of risks, recommended strategies and tactics, and advice; yet the uptake and successful implementation of these measures across SMB / SME (less than 250-500 person) organizations is lackluster. Cyber insurance underwriting, too, is showing strains, especially in light of 2020-2021's ransomware and related siruption attacks reacinc pandemic-seeming proportions. This research forms the first part of a process to develop, calibrate, and use models of risk avoidance, management, and acceptance behaviors.

    Categories: Faculty-Staff

  • An Investigation of Factors that Influence Passengers’ Intentions to Use Biometric Technologies at Airports

    PI Kabir Kasim

    CO-I Scott Winter

    This research investigated the factors that influence passengers’ intentions to choose the use of biometrics over other methods of identification. The current study utilized a quantitative research method via an online survey of 689 persons from Amazon ® Mechanical Turk ® (MTurk) and employed structural equation modeling (SEM) techniques for data analysis. The study utilized the theory of planned behavior (TPB) as the grounded theory, while perceived usefulness and perceived ease of use were included as additional factors that could influence individuals’ intentions to use new technology.



    The study further assessed the impact of passengers’ privacy concerns on the intentions to use biometrics and investigated how the privacy concerns moderate the influencing factors of passengers’ behavioral intentions. Because of the coronavirus (COVID-19) pandemic that became prevalent at the time of the study, a COVID-19 variable was introduced as a control variable to examine if there were any effects of COVID-19 on passengers' behavioral intentions while controlling for the other variables.

    Results showed that for the TPB factors, attitudes and subjective norms significantly influenced passengers’ behavioral intentions to use biometrics, while the effect of perceived behavioral control (PBC) on passengers’ intentions was not significant. The additional factors of perceived usefulness and perceived ease of use did not significantly influence passengers’ intentions. In addition, the hypothesized relationships between privacy concerns and four factors, behavioral intentions, attitudes, PBC, and perceived ease of use were supported, while the relationships between privacy concerns and perceived usefulness and between privacy concerns and subjective norms were not supported.

    The examination of the moderating effects found that privacy concerns moderated the relationships between passengers’ intentions and three factors: attitudes, subjective norms, and perceived usefulness. However, because the interaction plots showed that the moderating effects were weak, the effects were not considered to be of much value and were therefore not added to the final model. Results also showed that the control variable (COVID-19) did not significantly influence passengers’ behavioral intentions and passengers’ privacy concerns while controlling for the other variables.

    Practically, the study contributed a research model and specified factors that were postulated to influence passengers’ behavioral intentions to use biometrics at airports. Further research would be required to determine additional factors that influence behavioral intentions. Finally, although the moderating effects were not used in the final model, the findings suggest that stakeholders can customize biometric systems and solutions appropriately to cater to passengers’ concerns.

    Categories: Graduate

  • Meta-Analyses of the Effects of Standardized Handoff Protocols on Patient, Provider, and Organizational Outcomes

    PI Joseph Keebler

    CO-I Elizabeth Lazzara

    This meta-analysis attempts to understand the benefits of a structured communication process on patient, provider, and organizational outcomes. Studies have found that one of the most crucial points during a patient’s hospital stay is the transition of care between one or more providers, often referred to as a patient handoff. These brief interactions between providers are often especially vulnerable to communication breakdowns due to interruptions, omission of pertinent information by the sender or receiver of the information. To illustrate, upwards of 80% of severe, preventable medical errors have been attributed to miscommunication during handoffs. In other words, failures in communication during handoff are potentially responsible for the loss of hundreds of thousands of lives every year in the United States.

    Standardized protocols – usually in the form of a short mnemonic (e.g. SBAR – situation, background, assessment, recommendation) or a longer multi-item checklist - have been required by the Joint Commission, but meta-analytic integration of handoff protocol research has not been conducted. Meta-analysis is a statistical technique that quantitatively assesses effects across multiple studies, providing a summary of the current state of the science. The overall purpose of this study was to understand the effects of handoff protocols using meta-analytic approaches. Handoff information passed during transitions of care, patient outcomes, provider outcomes, and organizational outcomes are the primary outcomes studied for this research.

    Initially 4,556 articles were identified across a multitude of literature databases, with 4,520 removed. This process left a final set of 36 articles, all which included pre-/postintervention designs implemented in live clinical/hospital settings. Meta-analyses were conducted on 34,527 pre- and 30,072 postintervention data points.

    Results indicate positive effects on all four outcomes: handoff information, patient outcomes, provider outcomes, and organizational outcomes. We found protocols to be effective, but there is significant publication bias and heterogeneity in the literature. Publication bias indicates that only studies with significant findings are being published, while heterogeneity indicates that studies are not being conducted the same way – usually lacking standardized metrics. These results demonstrate that handoff protocols tend to improve results on multiple levels, including handoff information passed and patient, provider, and organizational outcomes. Significant effects were found for protocols across provider types, regardless of expertise or area of clinical focus. It also appears that more thorough protocols lead to more information being passed, especially when those protocols consist of 12 or more items. This research has continued to this day, with a recent dissertation (Kristen Welsh-Webster) completed i in 2017 on implementation of handoffs in a live anesthesia unit. Keebler and Lazzara’s team are currently writing multiple grants in collaboration with local and national hospital systems to improve their handoffs and team processes surrounding care transitions. 

    Categories: Faculty-Staff

  • ERAU NASA In-Time Safety Management Data Development and Analysis Year Two

    PI Kristy Kiernan

    CO-I Albert Boquet

    CO-I Stephen Rice

    CO-I Robert Waltz

    CO-I Joel Samu

    CO-I Lucas Epperson

    CO-I Shashank Kumar

    CO-I Lidiaruth Jones

    CO-I Sierra Juliano

    CO-I Joseph O'Brien

    ​This project explores new data sources and analytical tools for extracting learning opportunities from all aviation operations.

    ​This project explores new data sources and analytical tools for extracting learning opportunities from all aviation operations. To continue to learn from a system with very low mishap and incident rates, new data streams must be found that uncover strategies and practices that promote resilience. This project examines both existing mishap data, existing data collected from the NASA Human Contribution to Safety (HC2S) test bed, and data collected independently to identify realistic, actionable methods to support and encourage continuous learning, both at the operator level and the organizational level. The project will be divided into two tasks: Task 1 builds upon the work being done in the HC2S testbed by exploring the existing data and generating new data to address how resilient performance can be manifest at the level of the operator and also in the broader system; Task 2 examines NTSB accident dockets for evidence of resilient performance at the level of the operator and also in the broader system.

    Categories: Faculty-Staff

  • Integrated Structural Health Sensors for Inflatable Space Habitats

    PI Dae Won Kim

    PI Sirish Namilae

    Under this research project we will develop an innovative structural health monitoring system for inflatable space habitat structures by integrating nanocomposite piezoresistive sensors 

    Inflatable structures for space habitats are highly prone to damage caused by micrometeoroid and orbital debris impacts. Although the structures are effectively shielded against these impacts through multiple layers of impact resistant materials, there is a necessity for a health monitoring system to monitor the structural integrity and damage state within the structures. Assessment of damage is critical for the safety of personnel in the habitat, as well as predicting the repair needs and the remaining useful life of the habitat. We are developing a unique impact detection and health monitoring system based on hybrid nanocomposite sensors composed of carbon nanotube sheet and coarse graphene platelets. An array of these sensors sandwiched between soft good layers in a space habitat can act as a damage detection layer for inflatable structures. We will further develop algorithms to determine the event of impact, its severity, and location on the sensing layer for active health monitoring.  Our sensor system will be tested in the hypervelocity impact testing facility at UDRI in future.

    Categories: Faculty-Staff

  • In Service Performance of Pipe to Structure Connections

    PI Payal Kotecha

    Dr. Kotecha was awarded a research grant for $200,000 from the Florida Department of Transportation to investigate pipe-to-structure connections.

    This two-years project will investigate the performance of installed resilient connectors and typical brick and mortar connections. This will include field inspections and documentation within District 7 for resilient connectors. Additional investigations will also be conducted in other locations for structures with brick-and-mortar connections. These results will further evaluate the potential of statewide deployment of resilient connectors.

    Categories: Faculty-Staff

  • Understanding Factors that Influence Anesthesia Handoffs

    PI Elizabeth Lazzara

    CO-I Joseph Keebler

    Communication is an essential aspect of quality patient care in modern medicine, yet mishaps in communication during handoffs (i.e., the transition of a patient between two or more providers) happen frequently. The purpose of this project was to understand the factors that influence handoffs between anesthesia providers and clinicians within the post anesthesia care unit. 

    Handoffs are ubiquitous in hospital settings and frequently occur before and after surgery (i.e. the perioperative setting). Because patient care in the perioperative setting is contingent upon communication between providers, it is important the handoff between surgical and post-surgical units occurs efficiently and efficaciously to ensure relevant patient information is being transferred. To ameliorate errors associated with handoffs, there is a national call for standardization (i.e., protocols). Although there has been progress in this domain, handoff research remains problematic. Protocols are often developed unscientifically, research methods lack rigor, and studies rarely compare protocols against one another. Additionally, many studies do not focus on contextual variables (e.g., noise or turn taking) or individual differences that could influence handoff efficiency.

    To address this gap, this study utilized qualitative and quantitative methods to develop an innovative, customized, data-driven handoff protocol, implemented the protocol into a live perioperative setting, and evaluated it in comparison to the previously established handoff protocol, SBAR (Situation, Background, Assessment, and Recommendation).

    We designed the handoff protocol using literature from the medical field, interviews, and a card sorting technique (a method to determine how experts organize their knowledge). Based on this data, we generated a protocol (i.e., Flex 12) and corresponding learning/training materials. We trained participants on Flex 12 using information- and practice-based strategies as well as feedback. More specifically, participants listened to a lecture on handoffs, had the opportunity to perform handoffs, and received feedback regarding their performance of those handoffs. To determine its effectiveness, the Flex 12 was tested using a pre-post within-subjects design, which means that all participants were measured before and after the Flex 12 was implemented.

    Although handoff protocol was not significant with regards to handoff efficiency, noise and turn taking was significant. In other words, handoffs were less efficient when there was more noise from equipment or staff and when providers had more turns during their conversation. Finally, the use of the protocol impacted provider’s attitudes and cognitions. For example, providers perceived less authority between one another when the protocol was used.


    Despite being a small study at one site, it does present evidence that other contextual factors should be considered to better understand handoffs. Factors, such as noise and turn-taking, do influence handoff outcomes (i.e., handoff efficiency). Considering the time demands placed on healthcare providers, it is critical to understand and maximize efficiency while maintaining safety.

    Categories: Faculty-Staff

  • The Effects of Carry-on Baggage on Aircraft Evacuation Efficiency

    PI Sang-A Lee

    Overall, two studies were conducted to provide an outline of the factors that affect and affected by carry-on baggage. Study 1 used an agent-based model, AnyLogic, to simulate the aircraft evacuation model of an A380. The model was validated, and a two-way Analysis of Variance (ANOVA) was conducted to examine the effects of the percentage of passengers evacuating with carry-on baggage and exit selection choices on the total evacuation time. The simulation results suggested that the mean evacuation time for 0% was significantly lower than 50% and 80%. The mean evacuation time for the shortest queue choice was also lower than the closest exit choice. Study 2 used an expanded theory of planned behavior (TPB) to determine the factors that affect passengers’ intentions to evacuate with carry-on baggage. The confirmatory factor analysis (CFA) and structural equation model (SEM) were used to analyze the data. The results indicated that attitude was the significant determinant of passengers’ intention to evacuate with carry-on baggage.



    The most frequent obstacle of an aircraft evacuation is the passengers carrying baggage while evacuating. Passengers who insist on taking their carry-on baggage during an emergency evacuation not only slow down the evacuation process but also act as a significant risk to the safety of other passengers. This study investigated the factors that affect passengers’ behavioral intention to evacuate with carry-on baggage and the effects of evacuating with carry-on baggage on the total evacuation time. Overall, two studies were conducted to provide an outline of the factors that affect and affected by carry-on baggage.

    Study 1 used an agent-based model, AnyLogic, to simulate the aircraft evacuation model of an A380. The model was validated, and a two-way Analysis of Variance (ANOVA) was conducted to examine the effects of the percentage of passengers evacuating with carry-on baggage and exit selection choices on the total evacuation time. The simulation results suggested that the mean evacuation time for 0% was significantly lower than 50% and 80%. The mean evacuation time for the shortest queue choice was also lower than the closest exit choice. 

    Study 2 used an expanded theory of planned behavior (TPB) to determine the factors that affect passengers’ intentions to evacuate with carry-on baggage. The total v sample size was 281 after data cleaning. The confirmatory factor analysis (CFA) and structural equation model (SEM) were used to analyze the data. The results indicated that attitude was the significant determinant of passengers’ intention to evacuate with carry-on baggage. The factor of ‘perceived risk’ was not supported, but the results showed that the opposite effect of the hypothesis was significant. The results of this study fill a gap in the research regarding passengers’ behavior of evacuating with carry-on baggage. Potential applications of this study will also help the federal regulations, airlines, and aircraft manufacturers by providing a better understanding of carry-on baggage at aircraft emergency.  

    Categories: Graduate

111-120 of 265 results