10554
MULTIFILE
This article examines the impact of the COVID-19 pandemic on the sign language interpreting profession drawing on data from a fourth and final survey conducted in June 2021 as part of a series of online “living surveys” during the pandemic. The survey, featuring 331 respondents, highlights significant changes in the occupational conditions and practices of sign language interpreters due to the sudden shift towards remote video-mediated interpreting. The findings reveal a range of challenges faced by interpreters, including the complexities of audience design, lack of backchanneling from deaf consumers, the need for heightened self-monitoring, nuanced conversation management, and team work. Moreover, the study highlights the physical and mental health concerns that have emerged among interpreters as a result of the shift in working conditions, and a need for interpreters to acquire new skills such as coping with the multimodal nature of online interpreting. While the blend of remote, hybrid, and on-site work has introduced certain advantages, it also poses new challenges encompassing workload management, online etiquette, and occupational health concerns. The survey’s findings underscore the resilience and adaptability of SLIs in navigating the shift to remote interpreting, suggesting a lasting transformation in the profession with implications for future practice, training, and research in the post-pandemic era.
DOCUMENT
To enhance our understanding of forest carbon sequestration, climate change mitigation and drought impact on forest ecosystems, the availability of high-resolution annual forest growth maps based on tree-ring width (TRW) would provide a significant advancement to the field. Site-specific characteristics, which can be approximated by high-resolution Earth observation by satellites (EOS), emerge as crucial drivers of forest growth, influencing how climate translates into tree growth. EOS provides information on surface reflectance related to forest characteristics and thus can potentially improve the accuracy of forest growth models based on TRW. Through the modelling of TRW using EOS, climate and topography data, we showed that species-specific models can explain up to 52 % of model variance (Quercus petraea), while combining different species results in relatively poor model performance (R2 = 13 %). The integration of EOS into models based solely on climate and elevation data improved the explained variance by 6 % on average. Leveraging these insights, we successfully generated a map of annual TRW for the year 2021. We employed the area of applicability (AOA) approach to delineate the range in which our models are deemed valid. The calculated AOA for the established forest-type models was 73 % of the study region, indicating robust spatial applicability. Notably, unreliable predictions predominantly occurred in the climate margins of our dataset. In conclusion, our large-scale assessment underscores the efficacy of combining climate, EOS and topographic data to develop robust models for mapping annual TRW. This research not only fills a critical void in the current understanding of forest growth dynamics but also highlights the potential of integrated data sources for comprehensive ecosystem assessments.
LINK
Dit boekje geeft de inaugurele rede van Wierd Koops weer waarin hij zijn visie op de toekomst geeft: welke nieuwe bedreigingen kunnen wij verwachten en hoe goed is Nederland hier op voorbereid
DOCUMENT
Soil organic carbon (SOC) prediction from remote sensing is often hindered by disturbing factors at the soil surface, such as photosynthetic active and non–photosynthetic active vegetation, variation in soil moisture or surface roughness. With the increasing amount of freely available satellite data, recent studies have focused on stabilizing the soil reflectance by building reflectance composites using time series of images. Although composite imagery has demonstrated its potential in SOC prediction, it is still not well established if the resulting composite spectra mirror the reflectance fingerprint of the optimal conditions to predict topsoil properties (i.e. a smooth, dry and bare soil).
LINK
In this Smart Forests Radio episode in conversation with tree-ring researcher Ute Sass Klaassen at Van Hall Larenstein and Wageningen University & Research, and multi-species geographer Clemens Driessen at Wageningen University & Research. Their research illustrates different more-than-human approaches to engaging with seemingly slower entities like trees and snails by using digital technology. Ute discusses in this podcast how sensors enable the analysis of the interaction between tree vitality and climate change, such as rate of growth and water transport in stems. To obtain a fuller picture of how trees react to extreme climate events, she explores ways to combine remotely sensed data from drones and satellites with data from tree sensors. Clemens shares an artistic design research project, Unwhorl, developed in collaboration with Mari Bastashevski and Sam Lavinge, which visualises the traces snails leave as they interact with an iPad.
LINK
Physical activity monitoring with wearable technology has the potential to support stroke rehabilitation. Little is known about how physical therapists use and value the use of wearable activity monitors. This cross-sectional study explores the use, perspectives, and barriers to wearable activity monitoring in day-to-day stroke care routines amongst physical therapists. Over 300 physical therapists in primary and geriatric care and rehabilitation centers in the Netherlands were invited to fill in an online survey that was developed based on previous studies and interviews with experts. In total, 103 complete surveys were analyzed. Out of the 103 surveys, 27% of the respondents were already using activity monitoring. Of the suggested treatment purposes of activity monitoring, 86% were perceived as useful by more than 55% of the therapists. The most recognized barriers to clinical implementation were lack of skills and knowledge of patients (65%) and not knowing what brand and type of monitor to choose (54%). Of the non-users, 79% were willing to use it in the future. In conclusion, although the concept of remote activity monitoring was perceived as useful, it was not widely adopted by physical therapists involved in stroke care. To date, skills, beliefs, and attitudes of individual therapists determine the current use of wearable technology.
DOCUMENT
This work is on 3-D localization of sensor motes in massive swarms based solely on 1-D relative distance-measurements between neighbouring motes. We target applications in remote and difficult-to-access environments such as the exploration and mapping of the interior of oil reservoirs where hundreds or thousands of motes are used. These applications bring forward the need to use highly miniaturized sensor motes of less than 1 centimeter, thereby significantly limiting measurement and processing capabilities. These constraints, in combination with additional limitations posed by the environments, impede the communication of unique hardware identifiers, as well as communication with external, fixed beacons.
DOCUMENT
Virtual care centres (VCCs) are novel wards of hospitals and facilitate the provision of remote monitoring and home-based patient care by virtual care nurses. Whereas since the COVID-19 pandemic VCCs have rapidly emerged, there is a lack of insight in virtual care nurses’ work and the associated work load. Therefore, the aim of this study was to identify the nursing activities performed in Virtual Care Centers (VCCs) and assess nurses’ perceived workload associated with these activities. A multicentre descriptive, observational cross-sectional study was performed.
MULTIFILE
