Background: In team handball an anterior cruciate ligament (ACL) injury often occurs during landing after a jump shot. Many intervention programs try to reduce the injury rate by instructing the athletes to land safer. Video feedback is an effective way to provide feedback although little is known about its influence on landing technique in sport-specific situations. Objective: To test the effectiveness of a video overlay feedback method on landing technique in elite handball players. Method: Sixteen elite female handball players were assigned to a Control or Video Group. Both groups performed jump shots in a pre-test, two training sessions (TR1 & TR2) and a post-test. The Video Group received video feedback of an expert model with an overlay of their own jump shots in TR1 and TR2 whilst the Control Group did not. Main outcome measures were sagittal ankle, knee and hip angles during initial contact (IC), maximum (MAX) and range of motion (ROM), in addition to the Landing Error Scoring System (LESS) score. One 2x4 repeated measures ANOVA was conducted to analyze group, time and interaction effects of all kinematic outcome measures and the LESS score. Results: The Video Group displayed significant improvement in knee and hip flexion at IC, MAX and ROM. In addition, MAX ankle flexion and their LESS score improved an average of 8.1 in the pre-test to 4.0 in the post-test. When considering performance variables, no differences between Control Group and Video Group were found in shot accuracy or vertical jump height, whilst horizontal jump distance in the Video Group became greater over time. Conclusion: Overlay visual feedback is an effective method to improve landing kinematics during a sport-specific jump shot. Further research is now warranted to determine the long-term effects and transfer to training and game situations.
Introduction This study aims to explore maternal and perinatal outcomes of migrant women in Iceland. Material and methods This prospective population-based cohort study included women who gave birth to a singleton in Iceland between 1997 and 2018, comprising a total of 92 403 births. Migrant women were defined as women with citizenship other than Icelandic, including refugees and asylum seekers, and categorized into three groups, based on their country of citizenship Human Development Index score. The effect of country of citizenship was estimated. The main outcome measures were onset of labor, augmentation, epidural, perineum support, episiotomy, mode of birth, obstetric anal sphincter injury, postpartum hemorrhage, preterm birth, a 5-minute Apgar <7, neonatal intensive care unit admission and perinatal mortality. Odds ratios (ORs) and 95% confidence intervals (CIs) for maternal and perinatal outcomes were calculated using logistic regression models. Results A total of 8158 migrant women gave birth during the study period: 4401 primiparous and 3757 multiparous. Overall, migrant women had higher adjusted ORs (aORs) for episiotomy (primiparas: aOR 1.43, 95% CI 1.26–1.61; multiparas: 1.39, 95% CI 1.21–1.60) and instrumental births (primiparas: 1.14, 95% CI 1.02–1.27, multiparas: 1.41, 95% CI 1.16–1.72) and lower aORs of induction of labor (primiparas: 0.88, 95% CI 0.79–0.98; multiparas: 0.74, 95% CI 0.66–0.83), compared with Icelandic women. Migrant women from countries with a high Human Development Index score (≥0.900) had similar or better outcomes compared with Icelandic women, whereas migrant women from countries with a lower Human Development Index score than that of Iceland (<0.900) had additionally increased odds of maternal and perinatal complications and interventions, such as emergency cesarean and postpartum hemorrhage. Conclusions Women’s citizenship and country of citizenship Human Development Index scores are significantly associated with a range of maternal and perinatal complications and interventions, such as episiotomy and instrumental birth. The results indicate the need for further exploration of whether Icelandic perinatal healthcare services meet the care needs of migrant women.
Virtual training systems provide highly realistic training environments for police. This study assesses whether a pain stimulus can enhance the training responses and sense of the presence of these systems. Police officers (n = 219) were trained either with or without a pain stimulus in a 2D simulator (VirTra V-300) and a 3D virtual reality (VR) system. Two (training simulator) × 2 (pain stimulus) ANOVAs revealed a significant interaction effect for perceived stress (p =.010, ηp2 =.039). Post-hoc pairwise comparisons showed that VR provokes significantly higher levels of perceived stress compared to VirTra when no pain stimulus is used (p =.009). With a pain stimulus, VirTra training provokes significantly higher levels of perceived stress compared to VirTra training without a pain stimulus (p <.001). Sense of presence was unaffected by the pain stimulus in both training systems. Our results indicate that VR training appears sufficiently realistic without adding a pain stimulus. Practitioner summary: Virtual police training benefits from highly realistic training environments. This study found that adding a pain stimulus heightened perceived stress in a 2D simulator, whereas it influenced neither training responses nor sense of presence in a VR system. VR training appears sufficiently realistic without adding a pain stimulus.
Digital innovations in the field of immersive Augmented Reality (AR) can be a solution to offer adults who are mentally, physically or financially unable to attend sporting events such as premier league football a stadium and match experience. This allows them to continue to connect with their social networks. In the intended project, AR content will be further developed with the aim of evoking the stadium experience of home matches as much as possible. The extent to which AR enriches the experience is then tested in an experiment, in which the experience of a football match with and without AR enrichment is measured in a stadium setting and in a home setting. The experience is measured with physiological signals. In addition, a subjective experience measure is also being developed and benchmarked (the experience impact score). Societal issueInclusion and health: The joint experience of (top) sports competitions forms a platform for vulnerable adults, with a limited social capital, to build up and maintain the social networks that are so necessary for them. AR to fight against social isolation and loneliness.
Geavanceerde hoortesten die worden ingezet om slechthorendheid te diagnosticeren en hoortoestellen af te regelen worden standaard uitgevoerd door een geoefend professional in een face-to-face consult. In de context van Covid-19 afstandsmaatregelen brengt dit voor vele slechthorenden een belangrijk gezondheidsrisico mee. Dit is in het bijzonder zo voor de kwetsbare groep van 65-plussers met slechthorendheid die vaak bijkomende aandoeningen hebben. Zij kiezen er om die reden niet zelden voor om te verzaken aan de noodzakelijke hoorzorg. De centrale doelstelling van dit project is om een objectief meetinstrument te ontwikkelen om spraakverstaan geautomatiseerd en online te toetsen. Deze testprocedure dient een valide alternatief te vormen voor face-to-face testconsults. De resultaten van deze online test dienen professionals toe te laten om het functionele horen van cliënten op afstand in kaart te brengen en zo nodig te optimaliseren dankzij een aangepaste fijnstelling van het hoortoestel. Aldus biedt het online testen voor bepaalde groepen van slechthorende cliënten een kostenefficiënte en veilige manier om communicatief zo goed mogelijk aangesloten te blijven op de maatschappij. De beide praktijkpartners zullen aan de hand van surveys eerst de belangrijkste communicatieve uitdagingen en behoeften van de doelgroep van slechthorenden in kaart brengen. De resultaten hiervan leveren de nodige input voor het gericht ontwikkelen van het testinstrumentarium en de experimentele testcondities. Om de nieuwe testprocedure te valideren zullen tot slot de spraakverstaanscores van state-of-the-art manuele on-site procedures worden vergeleken met deze van een geautomatiseerde online procedure. Verder willen we de PPS samenwerking consolideren en een belangrijke opstap maken naar breedschalig vervolgonderzoek binnen het ‘SME Instrument’ van het Horizon Europe Programma 2021-2017 met als doel een volledig aanbod van online audiologische revalidatie te bieden. Dankzij dit KIEM project kan een eerste cruciale stap worden gezet in het deblokkeren van de rechte lijn naar dit einddoel.
The project aim is to improve collusion resistance of real-world content delivery systems. The research will address the following topics: • Dynamic tracing. Improve the Laarhoven et al. dynamic tracing constructions [1,2] [A11,A19]. Modify the tally based decoder [A1,A3] to make use of dynamic side information. • Defense against multi-channel attacks. Colluders can easily spread the usage of their content access keys over multiple channels, thus making tracing more difficult. These attack scenarios have hardly been studied. Our aim is to reach the same level of understanding as in the single-channel case, i.e. to know the location of the saddlepoint and to derive good accusation scores. Preferably we want to tackle multi-channel dynamic tracing. • Watermarking layer. The watermarking layer (how to embed secret information into content) and the coding layer (what symbols to embed) are mostly treated independently. By using soft decoding techniques and exploiting the “nuts and bolts” of the embedding technique as an extra engineering degree of freedom, one should be able to improve collusion resistance. • Machine Learning. Finding a score function against unknown attacks is difficult. For non-binary decisions there exists no optimal procedure like Neyman-Pearson scoring. We want to investigate if machine learning can yield a reliable way to classify users as attacker or innocent. • Attacker cost/benefit analysis. For the various use cases (static versus dynamic, single-channel versus multi-channel) we will devise economic models and use these to determine the range of operational parameters where the attackers have a financial benefit. For the first three topics we have a fairly accurate idea how they can be achieved, based on work done in the CREST project, which was headed by the main applicant. Neural Networks (NNs) have enjoyed great success in recognizing patterns, particularly Convolutional NNs in image recognition. Recurrent NNs ("LSTM networks") are successfully applied in translation tasks. We plan to combine these two approaches, inspired by traditional score functions, to study whether they can lead to improved tracing. An often-overlooked reality is that large-scale piracy runs as a for-profit business. Thus countermeasures need not be perfect, as long as they increase the attack cost enough to make piracy unattractive. In the field of collusion resistance, this cost analysis has never been performed yet; even a simple model will be valuable to understand which countermeasures are effective.
