Immersion and togetherness: How live visualization of audience engagement can enhance music events

This paper evaluates the influence of an additional visual aesthetic layer on the experience of concert goers during a live event. The additional visual layer incorporates musical features as well as bio-sensing data collected during the concert, which is coordinated by our audience engagement monitoring technology. This technology was used during a real Jazz concert. The collected measurements were used in an experiment with 32 participants, where two different forms of visualization were compared: one factoring in music amplitude, audience engagement collected by the sensors and the dynamic atmosphere of the event, the other one purely relying on the beat of the music. The findings indicate that the visual layer could add value to the experience if used during a live concert, providing a higher level of immersion and feeling of togetherness among the audience

New national and regional bryophyte records, 49

Peer reviewe

A new chaotic network model for epilepsy

Epilepsy is a prevalent neurological disorder with symptoms characterized by abnormal discharge in the brain. According to the classification of the International League Against Epilepsy (ILAE) Commission, temporal lobe epilepsy is the most common type of epilepsy accounting for the most cases of the disorder observed in patients. Electroencephalography (EEG) is the most common diagnostic tool for Epilepsy, by which abnormal electrical activity of the brain can be clearly seen. This paper uses chaos theory and proposes a new analytical mass model for temporal lobe Epilepsy. Chaotic behavior of the model indicates normal model, while its periodic behavior indicate epileptic mode of the brain. The proposed model includes a number of parameters for which a full bifurcation analysis is conducted. This fully characterizes different regimes of the model and allows studying how one can control the parameters to switch between different modes. The proposed model enables to effectively use advance chaos-based mathematical tools to get further insights on the underlying mechanisms of epilepsy

Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks

Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient’s initial visit is a challenging task. This work builds on our previous method and provides a novel bio-informed framework based on a mechanistic machine learning technique with dynamic patient-specific parameters to predict PSD. We provide a geometry-based bone growth model that can be utilized in a range of applications to enhance the bio-informed mechanistic machine learning framework. The proposed technique is utilized to examine and predict spine curvature in PSD cases such as adolescent idiopathic scoliosis. The best fit of a segmented 3D volumetric geometry of the human spine acquired from 2D X-ray images is employed. Using an active contour model based on gradient vector flow snakes, the anteroposterior and lateral views of the X-ray images are segmented to derive the 2D contours surrounding each vertebra. Using minimal user input, the snake parameters are calibrated and automatically computed over the dataset, resulting in fast image segmentation and data collection. The 2D segmented outlines of each vertebra are transformed into a 3D image segmentation result. The Iterative Closest Point mesh registration technique is then used to establish a mesh morphing approach and creates a 3D atlas spine model. Using the comprehensive 3D volumetric model, one can automatically extract spinal geometry data as inputs to the mechanistic machine learning network. Moreover, the proposed bio-informed deep learning network with the modified bone growth model achieves competitive or even superior performance against other state-of-the-art learning-based methods.Please check and confirm if the author names and initials are correct for “Yongjie Jessica Zhang” and “Wing Kam Liu”.We confirm they are correct.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Emerging MaterialsApplied Ergonomics and Desig

New national and regional bryophyte records, 58

The genus Asterella is widely represented in the New World, with about 18 species, from North America to Southern South America. According to Bischler et al. (2005), 10 species are found in the Neotropics. This report accounts for the presence of A. chilensis, an austral species, in Uruguay. Therefore, constituting its first record within the Neotropics boundariesFil: Ellis, L. T.. Natural History Museum; Reino UnidoFil: Afonina, O.M.. Russian Academy of Sciences. Komarov Botanical Institute; RusiaFil: Doroshina, G. Ya.. Russian Academy of Sciences. Komarov Botanical Institute; RusiaFil: Agudelo, C.. Universidad del Quindio; ColombiaFil: Andriamiarisoa, R. L.. Missouri Botanical Garden Antananarivo; MadagascarFil: Asthana, A.K.. National Botanical Research Institute India; IndiaFil: Gupta, D.. National Botanical Research Institute India; IndiaFil: Gupta, R.. National Botanical Research Institute India; IndiaFil: Rawat, K. K.. National Botanical Research Institute India; IndiaFil: Sahu, V.. National Botanical Research Institute India; IndiaFil: Aymerich, P.. No especifíca;Fil: Bednarek Ochyra, H.. Polish Academy of Sciences; ArgentinaFil: Brugués, M.. Universitat Autònoma de Barcelona; EspañaFil: Ruiz, E.. Universitat Autònoma de Barcelona; EspañaFil: Sáez, L.. Universitat Autònoma de Barcelona; EspañaFil: Callaghan, D. A.. Bryophyte Surveys Ltd.; BulgariaFil: Caspari, S.. Ministerium für Umwelt und Verbraucherschutz; AlemaniaFil: Drapela, P.. Universidad Andrés Bello; ChileFil: Dugarova, O. D.. Institute Of General And Experimental Biology Of The Siberian Branch Of The Ras; RusiaFil: Tubanova, D. Ya.. Institute Of General And Experimental Biology Of The Siberian Branch Of The Ras; RusiaFil: Erzberger, P.. No especifíca;Fil: Flores, Jorge Rafael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina. Universidad Nacional de Tucumán; ArgentinaFil: Suarez, Guillermo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo; ArgentinaFil: Fedosov, V. E.. Lomonosov Moscow State University; RusiaFil: Gospodinov, G.. Institute Of Biodiversity And Ecosystem Research At The Bulgarian Academy Of Sciences; BulgariaFil: Gradstein, S. R.. Université Pierre et Marie Curie; FranciaFil: Reeb, C.. Université Pierre et Marie Curie; FranciaFil: Jukonienė, I.. Vilniaus Universitetas; LituaniaFil: Subkaitė, M.. Vilniaus Universitetas; LituaniaFil: Kučera, J.. University of South Bohemia; República ChecaFil: Lee, G. E.. Universiti Malaysia Terengganu; MalasiaFil: Lombo, Y. J.. Universidad de Los Llanos; ColombiaFil: Suarez, Guillermo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; ArgentinaFil: Lebouvier, M.. Universite de Rennes I; Francia. Centre National de la Recherche Scientifique; FranciaFil: Majumdar, S.. Ministry of Environment; IndiaFil: Müller, F.. Technische Universität Dresden; AlemaniaFil: Nagy, J.. Szent István Egyetem; HungríaFil: Norhazrina, N.. Universiti Kebangsaan Malaysia; MalasiaFil: Papp, B.. Hungarian Natural History Museum; HungríaFil: Plášek, V.. Ostravská Univerzita V Ostrave; República ChecaFil: Pócs, T.. Eszterhazy Karoly University; HungríaFil: Puglisi, M.. Università Degli Studi Di Catania; ItaliaFil: Schäfer Verwimp, A.. No especifíca;Fil: Shirzadian, S.. Agricultural Research Education and Extension Organization; IránFil: Singh, D. K.. No especifíca;Fil: Stefanut, S.. Academia Română. Institutul de Biologie Bucureşti; RumaniaFil: Torzewski, K.. University of Wroclaw; PoloniaFil: van Melick, H.. No especifíca;Fil: Wolski, G. J.. University of Lodz; PoloniaFil: Zander, R. H.. Missouri Botanical Garden; Estados Unido

New national and regional bryophyte records, 58

International audienc

New national and regional bryophyte records, 49

International audienceBryological Note

The Iranian blood pressure measurement campaign, 2019: study protocol and preliminary results

Purpose Hypertension is one of the most important risk factors for premature mortality and morbidity in Iran. The objective of the Iranian blood pressure (BP) measurement campaign was to identify individuals with raised blood pressure and providing appropriate care and increase the awareness among the public and policymakers of the importance of tackling hypertension. Methods The campaign was conducted in two phases. The first (communication) phase started on May 17th (International Hypertension Day). The second phase started on June 8th, 2019, and lasted up to July 7th during which, blood pressures were measured. The target population was Iranians aged >= 30 years. Participants voluntarily referred to health houses in rural and health posts and comprehensive health centers in urban areas in the setting of the Primary Health Care network. Additionally, over 13,700 temporary stations were set up in highly visited places in urban areas. Volunteer healthcare staff interviewed the participants, measured their BP, and provided them with lifestyle advice and knowledge of the risks and consequences of high blood pressure. They referred participants to physicians in case their BP was high. Participants immediately received a text message containing the relevant advice based on their measured BP and their past history. Results Blood pressure was measured for a total of 26,678,394 participants in the campaign. A total of 13,722,148 participants (51.4) were female. The mean age was 46 +/- 14.1 years. Among total participants, 15,012,693 adults (56.3) with no past history of hypertension had normal BP, 7,959,288 participants had BP in the prehypertension range (29.8), and finally, 3,706,413 participants (13.9) had either past medical history of hypertension, used medications, or had high BP measured in the campaign. Conclusion The campaign was feasible with the objective to increase the awareness among the public and policymakers of the importance of tackling hypertension in Iran