Examining the effectiveness of a training program on improving knowledge, functional skills, and attitude in natural disaster volunteers.

Introduction: Disaster relief volunteers must have certain psychological and cognitive characteristics. Therefore, the present study aimed to investigate the effectiveness of the training program on improving knowledge, functional skills, and attitude among disaster volunteers. Methods: A quasi-experimental study was conducted in 2023 in Iran, including an intervention and control group and follow-ups. Ninety health volunteers were randomly selected and divided into two groups of 45. The experimental group received the training program for an hour a week for three months. The control group received no intervention. The participants of both groups completed the disaster preparedness questionnaire at the pre-test, post-test, and one and three months after the intervention. Data was analyzed using SPSS "version 26" software in the methods section. Results: The intervention effect were significant in increasing the volunteers' functional skills (F = 3.75), knowledge (F = 166.50), and attitude (F = 1.74), all in (p = 0.001). According to the results, this effect was stable over time for functional skills (F = 1.83) and knowledge (F = 18.04) all in (p < 0.05). Conclusion: Training programs can help improve skills, attitudes and knowledge in natural disaster volunteers. Researchers interested in the field of natural disaster relief, particularly health researchers, could consider further examining the aforementioned topics in their studies.

International study of 24-h movement behaviors of the early years (SUNRISE): A pilot study from Iran.

BACKGROUND: This study examined the proportion of Iranian children who met the World Health Organization (WHO) Guidelines for physical activity, sedentary behaviour and sleep for children under 5 years. Additionally, it investigated the feasibility and acceptability of the methods to be used in the SUNRISE study. METHODS: This pilot study was conducted among 83 children aged 3 and 4 years in preschools and health care centres in Iran, in 2022. Physical activity, sedentary behaviour and sleep (ActiGraph wGT3x-BT); fine and gross motor skills (validated activities); and executive functions (the Early Years Toolbox) were assessed. RESULTS: Only four (4.8%) children met all recommendations of the WHO guidelines. The proportion of children who met MVPA, TPA, screen time, restrained sitting and sleep were 44.6%, 38.6%, 19.3%, 38.6% and 65.1%, respectively. Fifty-two (62.6%) children wore the ActiGraph for at least three full days. A total of 97.6%, 95.1% and 91.5% of children completed anthropometric, EF and motor skill assessments, respectively. CONCLUSION: This pilot study was feasible and acceptable among Iranian children. Regarding the low proportion of children who met the WHO guidelines, it is recommended that long-term and practical strategies be developed to promote healthier lifestyles among preschool children in Iran.

Memory Recall for Data Visualizations in Mixed Reality, Virtual Reality, 3D and 2D.

This article explores how the ability to recall information in data visualizations depends on the presentation technology. Participants viewed 10 Isotype visualizations on a 2D screen, in 3D, in Virtual Reality (VR) and in Mixed Reality (MR). To provide a fair comparison between the three 3D conditions, we used LIDAR to capture the details of the physical rooms, and used this information to create our textured 3D models. For all environments, we measured the number of visualizations recalled and their order (2D) or spatial location (3D, VR, MR). We also measured the number of syntactic and semantic features recalled. Results of our study show increased recall and greater richness of data understanding in the MR condition. Not only did participants recall more visualizations and ordinal/spatial positions in MR, but they also remembered more details about graph axes and data mappings, and more information about the shape of the data. We discuss how differences in the spatial and kinesthetic cues provided in these different environments could contribute to these results, and reasons why we did not observe comparable performance in the 3D and VR conditions.

Erratum: Determinants of health volunteer training in natural hazard management in Iran.

[This corrects the article DOI: 10.4102/jamba.v15i1.1384.].

Navigating the new normal: Examining coattendance in a hybrid work environment.

The recent rise of hybrid work poses novel challenges for synchronizing in-office work schedules. Using anonymized building access data, we quantified coattendance patterns among ~43k employees at a large global technology company. We used two-way fixed effects regression models to investigate the association between an employee's presence in the office and that of their manager and teammates. Our analysis shows that employee in-person attendance was 29% higher when their manager was present. Moreover, a 1-SD increase in the share of teammates who were present yielded a 16% increase in the individual employee's attendance. We also observed greater coattendance among employees who were recently hired, have a Corporate or Operations role, or work in shared office spaces. Thus, we find evidence of some voluntary alignment of work schedules. Companies could bolster such organic coordination by leveraging digital scheduling tools or providing guidance specifically aimed at increasing coattendance.

Climate mitigation potentials of teleworking are sensitive to changes in lifestyle and workplace rather than ICT usage.

The growth in remote and hybrid work catalyzed by the COVID-19 pandemic could have significant environmental implications. We assess the greenhouse gas emissions of this transition, considering factors including information and communication technology, commuting, noncommute travel, and office and residential energy use. We find that, in the United States, switching from working onsite to working from home can reduce up to 58% of work's carbon footprint, and the impacts of IT usage are negligible, while office energy use and noncommute travel impacts are important. Our study also suggests that achieving the environmental benefits of remote work requires proper setup of people's lifestyle, including their vehicle choice, travel behavior, and the configuration of home and work environment.

Determinants of health volunteer training in natural hazard management in Iran.

Both natural and man-made dangers cause bodily harm, as well as social, economic and environmental harm. In order to minimise the complications of these threats, proper training and preparedness are crucial. The purpose of this study was to look at the factors that affect how well-trained healthcare volunteers are for natural hazards in Iran. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach, a systematic review of literature on the factors influencing the training of healthcare volunteers in natural hazard published between 2010 and 2020 was conducted. The Google Scholar search engine, PubMed (Medline and Central), Science Direct and Web of Science databases were searched using both individual and combined key phrases. The Strengthening the Reporting of Observational studies in Epidemiology checklist was used to select and evaluate 592 observational and quasi-experimental articles. Finally, the study comprised 24 papers that satisfied the research criteria and made good use of good technique, sample size and adequate tools for validity and reliability. The most useful variables for disaster preparedness were job self-efficacy, strategic decision-making and quality of work-life, job performance, job motivation, knowledge, awareness and health literacy. Contribution: To avoid calamity, a thorough training program is required. Therefore, the most crucial objectives for health education specialists are to identify the factors that determine disaster preparedness, train volunteers and provide fundamental techniques to reduce natural dangers.

Authoring Data-Driven Videos with DataClips.

Data videos, or short data-driven motion graphics, are an increasingly popular medium for storytelling. However, creating data videos is difficult as it involves pulling together a unique combination of skills. We introduce DataClips, an authoring tool aimed at lowering the barriers to crafting data videos. DataClips allows non-experts to assemble data-driven "clips" together to form longer sequences. We constructed the library of data clips by analyzing the composition of over 70 data videos produced by reputable sources such as The New York Times and The Guardian. We demonstrate that DataClips can reproduce over 90% of our data videos corpus. We also report on a qualitative study comparing the authoring process and outcome achieved by (1) non-experts using DataClips, and (2) experts using Adobe Illustrator and After Effects to create data-driven clips. Results indicated that non-experts are able to learn and use DataClips with a short training period. In the span of one hour, they were able to produce more videos than experts using a professional editing tool, and their clips were rated similarly by an independent audience.

The Impact of Interactivity on Comprehending 2D and 3D Visualizations of Movement Data.

GPS, RFID, and other technologies have made it increasingly common to track the positions of people and objects over time as they move through two-dimensional spaces. Visualizing such spatio-temporal movement data is challenging because each person or object involves three variables (two spatial variables as a function of the time variable), and simply plotting the data on a 2D geographic map can result in overplotting and occlusion that hides details. This also makes it difficult to understand correlations between space and time. Software such as GeoTime can display such data with a three-dimensional visualization, where the 3rd dimension is used for time. This allows for the disambiguation of spatially overlapping trajectories, and in theory, should make the data clearer. However, previous experimental comparisons of 2D and 3D visualizations have so far found little advantage in 3D visualizations, possibly due to the increased complexity of navigating and understanding a 3D view. We present a new controlled experimental comparison of 2D and 3D visualizations, involving commonly performed tasks that have not been tested before, and find advantages in 3D visualizations for more complex tasks. In particular, we tease out the effects of various basic interactions and find that the 2D view relies significantly on "scrubbing" the timeline, whereas the 3D view relies mainly on 3D camera navigation. Our work helps to improve understanding of 2D and 3D visualizations of spatio-temporal data, particularly with respect to interactivity.