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

Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track

The goal of the Data Exploration in the Web 3.0 Age (DEW 2017) conference track has been bringing together researchers and practitioners from both the Academia and Industry working in the areas related to data exploration, in a very broad sense. The track welcomes contributions from data mining, query languages, data visualization, graph databases and other fields related to the analysis and exploitation of data. This paper is a Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track that includes the list of accepted papers

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

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

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

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

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

2002 - 2003 Bulletin

Loma Linda UniversityBulletin of the School of Public Health2002-2003 Volume 91, Number 3, January 30, 2003https://scholarsrepository.llu.edu/sph_bulletin/1002/thumbnail.jp