Metacognition and meteorology: using reflective thinking strategies to help novice weather forecasters adopt effective forecasting strategies

This dissertation contains two papers that investigate the use of metacognitive learning and thinking strategies with university-aged students learning science. The first paper reviews studies that have focused on the instructional implications of using metacognitive teaching and learning strategies in the classroom. Metacognition has been researched extensively in specific domains (such as reading) and with predominately young children. Lately, the value of metacognitive strategies has begun to be investigated in other cognitive domains (such as math and science) and with older students. The review paper ends with a suggestion for further research, extending the scope of metacognition to even broader areas.;The second paper reports a case study of eleven students\u27 use of metacognitive processes in a technology-enhanced introductory meteorology course. The study analyzed how novices engaging in metacognitive activities monitored and changed personal conceptions about weather processes and how they used those conceptions to write forecasts. Among the eleven students, several different metacognitive approaches to forecasting were employed. Several students changed their metacognitive approaches during the study. The journaling activities, interviews and other metacognitive thinking prompts probably contributed to improvements of metacognitive processes. Some suggestions for further research and practice in the area of metacognition with college-aged students learning about science are also included

FACTORS ASSOCIATED WITH ACCEPTANCE AND USE OF MOBILE TECHNOLOGY FOR HEALTH SELF-MONITORING AND DECISION SUPPORT IN LUNG TRANSPLANT RECIPIENTS

Objectives. This cross-sectional study in lung transplant recipients (LTR) described acceptance and use of a smartphone application, Pocket PATH®, for health self-monitoring and decision support for reporting critical values in 12 months post-transplantation; and explored predictors of use and reporting. Methods. This secondary analysis, guided by the Unified Theory of Acceptance and Use of Technology, included 96 LTR randomly assigned to the Pocket PATH group. Intention to use was measured at baseline. Due to skewness, use (percentage of days used) in 0 to 2, > 2 to ≤ 6, > 6 to ≤ 12, and 0 to 12 months was categorized as Low, Moderate, and High, using 25% and 75% as cutoffs. Reporting critical values was dichotomized as 100% and < 100% reporting. Descriptive statistics were used to summarize data and logistic regressions were employed to explore predictors of use and reporting. Results. About 85% of LTR were very likely to use Pocket PATH. However, intention was not associated with use. Use decreased across four time intervals. Self-care agency interacted with gender (OR=0.94, p=0.04) and satisfaction with technology training (OR=0.93, p=0.02) in 0 to 2 months. Use from > 2 to ≤ 6 months was predicted by satisfaction with technology training (OR=3.00, p=0.03), and age interacted with psychological distress (OR=0.96, p=0.04). Use after 6 months was predicted by psychological distress (OR=0.42, p=0.04) and physical function (OR=1.07, p=0.04). Use from 0 to 12 months was predicted by age (OR=1.05, p=0.03), satisfaction with technology training (OR=2.78, p=0.05) and physical function (OR=1.09, p=0.03). Among 53 (55.2%) LTR with critical values detected, 62.3% (n=33) had 100% reporting. With increased technology experience, odds of 100% reporting decreased in men but increased in women (OR=0.21, p=0.03). LTR whose income met basic needs (OR=0.01, p=0.02), or with longer hospital stay (OR=0.94, p=0.01), were less likely to have 100% reporting. Moderate use group was less likely to report than High (OR=0.11, p=0.02) and Low (OR=0.04, p=0.02) use groups. Conclusion. Use of mobile technology for health self-monitoring and for reporting critical values was predicted by different factors. Clinicians should assess LTR at risk for poor use and reporting

ICOADS Release 3.0: a major update to the historical marine climate record

We highlight improvements to the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) in the latest Release 3.0 (R3.0; covering 1662–2014). ICOADS is the most widely used freely available collection of surface marine observations, providing data for the construction of gridded analyses of sea surface temperature, estimates of air–sea interaction and other meteorological variables. ICOADS observations are assimilated into all major atmospheric, oceanic and coupled reanalyses, further widening its impact. R3.0 therefore includes changes designed to enable effective exchange of information describing data quality between ICOADS, reanalysis centres, data set developers, scientists and the public. These user-driven innovations include the assignment of a unique identifier (UID) to each marine report – to enable tracing of observations, linking with reports and improved data sharing. Other revisions and extensions of the ICOADS' International Maritime Meteorological Archive common data format incorporate new near-surface oceanographic data elements and cloud parameters. Many new input data sources have been assembled, and updates and improvements to existing data sources, or removal of erroneous data, made. Coupled with enhanced ‘preliminary’ monthly data and product extensions past 2014, R3.0 provides improved support of climate assessment and monitoring, reanalyses and near-real-time applications

Readiness for implementation of novel digital health interventions for postoperative monitoring:a systematic review and clinical innovation network analysis

An increasing number of digital health interventions (DHIs) for remote postoperative monitoring have been developed and evaluated. This systematic review identifies DHIs for postoperative monitoring and evaluates their readiness for implementation into routine health care. Studies were defined according to idea, development, exploration, assessment, and long-term follow-up (IDEAL) stages of innovation. A novel clinical innovation network analysis used coauthorship and citations to examine collaboration and progression within the field. 126 DHIs were identified, with 101 (80%) being early stage innovations (IDEAL stage 1 and 2a). None of the DHIs identified had large-scale routine implementation. There is little evidence of collaboration, and there are clear omissions in the evaluation of feasibility, accessibility, and the health-care impact. Use of DHIs for postoperative monitoring remains at an early stage of innovation, with promising but generally low-quality supporting evidence. Comprehensive evaluation within high-quality, large-scale trials and real-world data are required to definitively establish readiness for routine implementation

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance: Building the Future of Public Health Surveillance

Daniel Reidpath - ORCID: 0000-0002-8796-0420 https://orcid.org/0000-0002-8796-04204pubpub1117

GIS-and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development

The Colorado School of Mines (CSM) was awarded a grant by the National Energy Technology Laboratory (NETL), Department of Energy (DOE) to conduct a research project en- titled GIS- and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development in October of 2008. The ultimate goal of this research project is to develop a water resource geo-spatial infrastructure that serves as “baseline data” for creating solutions on water resource management and for supporting decisions making on oil shale resource development. The project came to the end on September 30, 2012. This final project report will report the key findings from the project activity, major accomplishments, and expected impacts of the research. At meantime, the gamma version (also known as Version 4.0) of the geodatabase as well as other various deliverables stored on digital storage media will be send to the program manager at NETL, DOE via express mail. The key findings from the project activity include the quantitative spatial and temporal distribution of the water resource throughout the Piceance Basin, water consumption with respect to oil shale production, and data gaps identified. Major accomplishments of this project include the creation of a relational geodatabase, automated data processing scripts (Matlab) for database link with surface water and geological model, ArcGIS Model for hydrogeologic data processing for groundwater model input, a 3D geological model, surface water/groundwater models, energy resource development systems model, as well as a web-based geo-spatial infrastructure for data exploration, visualization and dissemination. This research will have broad impacts of the devel- opment of the oil shale resources in the US. The geodatabase provides a “baseline” data for fur- ther study of the oil shale development and identification of further data collection needs. The 3D geological model provides better understanding through data interpolation and visualization techniques of the Piceance Basin structure spatial distribution of the oil shale resources. The sur- face water/groundwater models quantify the water shortage and better understanding the spatial distribution of the available water resources. The energy resource development systems model reveals the phase shift of water usage and the oil shale production, which will facilitate better planning for oil shale development. Detailed descriptions about the key findings from the project activity, major accomplishments, and expected impacts of the research will be given in the sec- tion of “ACCOMPLISHMENTS, RESULTS, AND DISCUSSION” of this report

2001 - 2002 Bulletin

Loma Linda UniversityBulletin of the School of Public Health2001-2002 Volume 90, Number 3, April 15, 2002https://scholarsrepository.llu.edu/sph_bulletin/1003/thumbnail.jp

Graduate Catalog, 2005-2006

https://scholar.valpo.edu/gradcatalogs/1032/thumbnail.jp

Cyber-Human Systems, Space Technologies, and Threats

CYBER-HUMAN SYSTEMS, SPACE TECHNOLOGIES, AND THREATS is our eighth textbook in a series covering the world of UASs / CUAS/ UUVs / SPACE. Other textbooks in our series are Space Systems Emerging Technologies and Operations; Drone Delivery of CBNRECy – DEW Weapons: Emerging Threats of Mini-Weapons of Mass Destruction and Disruption (WMDD); Disruptive Technologies with applications in Airline, Marine, Defense Industries; Unmanned Vehicle Systems & Operations On Air, Sea, Land; Counter Unmanned Aircraft Systems Technologies and Operations; Unmanned Aircraft Systems in the Cyber Domain: Protecting USA’s Advanced Air Assets, 2nd edition; and Unmanned Aircraft Systems (UAS) in the Cyber Domain Protecting USA’s Advanced Air Assets, 1st edition. Our previous seven titles have received considerable global recognition in the field. (Nichols & Carter, 2022) (Nichols, et al., 2021) (Nichols R. K., et al., 2020) (Nichols R. , et al., 2020) (Nichols R. , et al., 2019) (Nichols R. K., 2018) (Nichols R. K., et al., 2022)https://newprairiepress.org/ebooks/1052/thumbnail.jp