bluuebunny/crossref_metadata_2025_split huggingface dataset:
“NAO Says”: Designing and Evaluating Multimodal Playful Interactions with the Humanoid Robot NAO
Authors: Buchem Ilona , Brömmling Lukas , Bäcker Niklas 
Published: July 2023

AbstractNAO is a small humanoid robot which affords multimodal interaction through speech, non-verbal sounds, visual pattern recognition, gestures and touch. NAO can be animated to move its head, arms, legs in space and to manifest emotional reactions through dialogue, sounds, body movements and light effects. This paper reports on the design, implementation, play-testing and evaluation of a multimodal, playful interaction with NAO in two pre-studies and one pilot study with altogether 209 participants of all age groups. The application “NAO says” was designed based on the popular imitation game “Simon says”, in which three or more players follow the command “Simon says”. In “NAO says” the robot plays the role of Simon and asks the players to play a series of mini-games by imitating body movements and solving simple mathematical riddles. The design of “NAO says” focuses on creating an experience of a less constrained, playful interaction rather than following strict rules of the game. The paper describes the design of the game, the implementation in pilot studies and the results from three evaluations which investigated the perceptions of NAO as a game leader, and perceived psychological stress before and after the playful interaction with the robot. The results indicate that the robot was perceived as a friendly, joyful and pleasant interaction partner and that perceived stress was lower after playing the game.
Representation of Air Pollution in Augmented Reality: Tools for Population–Wide Behavioral Change
Authors: Pochwatko Grzegorz , Jędrzejewski Zbigniew , Kopeć Wiesław , Skorupska Kinga , Masłyk Rafał , Jaskulska Anna , Świdrak Justyna 
Published: July 2023

AbstractAir quality affects health and, unfortunately, has been deteriorating rapidly recently. The problem is significant in smaller towns where the important source of pollution is the heating of households and water from individual sources. Therefore, the inhabitants have an influence on a significant reduction of pollution in their area, but at the same time, they are very often not aware of it. Raising awareness about household-related air pollution plays a vital role as systemic solutions proposed by state and local authorities require the support of local communities. The situation has recently become even more serious as we are facing a crisis caused by the Russian war in Ukraine, which has led to an increase in energy and fuel prices and has postponed restrictions on the use of solid fuels or even incentives to use inferior fuels. Pathologies, such as burning garbage in old-style furnaces, have still not been eliminated. One of the ways of raising citizens’ awareness was to be public, easily accessible information about air quality. Many portals, services, and applications currently provide local air quality data, but few people use them. One reason may be that the figures and graphs can be confusing or unattractive to audiences who are not used to reading scientific reports. Visualizing air quality with augmented reality overcomes these obstacles. A mobile application that can use local elements as triggers and a symbolic representation of air quality based on data read in real-time from sensors is simple, attractive for non-experts, and has an additional educational value. We present the experience of creating such an application and prototype tests with the participation of potential users. Unfortunately, the collected results confirm the low awareness of excessive pollution in a given area and its negative impact on health. However, the interest of potential users and positive opinions about the tested prototype fill with optimism.
Modular Platform for Teaching Robotics
Authors: Nagajek Damian , Rąpała Michał , Wołoszyn Kamil , Turchan Krzysztof , Piotrowski Krzysztof 
Published: July 2023

AbstractThe Fourth Industrial Revolution causes changes in the economy and shifts the job market demand towards workforce with high technical skills. To keep an undisturbed economic growth we have to encourage more young people to develop competences in STEAM (science, technology, engineering, arts and mathematics). This has met with a response from some education systems which have prepared special programmes focusing on developing technical skills among students. One of the desired field is robotics, which involves constructing and programming. We have already conducted some workshops for high school students in this subjects and we would like to find the correct teaching tools to attract primary school students. Our idea is to create a modular platform, which elements could be used as black boxes, to teach robotics to young children. We have noticed that Arduino based kits are a bit too complicated and we decided to test a LEGO Technic set equipped with an external microcontroller. We have verified the interest level of children and the difficulty and time needed for a teacher to master the whole teaching platform. According to our study, LEGO attracts students much more than Arduino and is easier in operation and less time consuming during classes for teachers.
Transdisciplinary Approach to Virtual Narratives - Towards Reliable Measurement Methods
Authors: Pochwatko Grzegorz , Cnotkowski Daniel , Kobyliński Paweł , Borkiewicz Paulina , Pabiś-Orzeszyna Michał , Wierzbowski Mariusz , Osęka Laura 
Published: July 2023

AbstractWe have recently observed intense growth in the film industry’s interest in VR creations. Cinematic VR artists encounter challenges that result from discrepancies between established techniques of storytelling, stylistic conventions, and organizational culture indicative of traditional modes of film practice and the requirements of the new medium and new audience. We propose a transdisciplinary approach to cinematic VR research. Thanks to the cooperation of art & science - a collaboration between psychologists, information technology specialists, film scholars, and filmmakers will contribute to the emergence of a new VR narrative paradigm. We use a number of quantitative and qualitative methods to study the perception of cinematic VR works, an illusion of spatial presence and copresence, attention, emotions, and arousal of its users, narrative understanding, and character engagement. We measure participants’ reactions in many independent ways: in addition to subjective assessments and declarative methods, we use more objective data: eye tracking, multi-point position skeleton tracking, and psychophysiological responses. We show the effectiveness of the adopted approach by studying three artistic cinematic VR works: narrative and non-narrative, live-action, and animated. We compare the user experience and present the possibilities of interpretation and feedback benefits for art.
Proximity Estimation for Electronic Skin Placed on Collaborative Robot Conductive Case
Authors: Klimaszewski Jan , Białorucki Przemysław 
Published: July 2023

AbstractOne of the key issues in human-machine collaboration is human safety. Safe human-robot interaction can be implemented using an electronic skin (e-skin) that detects the human’s proximity to the collaborative robot (cobot) casing even before the collision with the machine. The detection delay of such a situation should be as small as possible to be able to stop the machine safely. This paper presents an analysis of the results of estimating the proximity of a human to a robot with an electronic skin placed on its surface. The proximity estimation system works by measuring the capacitance of an open capacitor, and the placement of the capacitor on the conductive robot case significantly affects system performance. This paper outlines which parameters have the most important influence on this performance.
Finite Element Method Based Toolchain for Simulation of Proximity Estimation Using Electronic Skin
Authors: Ostaszewska-Liżewska Anna , Klimaszewski Jan 
Published: July 2023

AbstractThe emergence of new areas of human-robot cooperation creates the need to ensure human safety in this regard. Therefore, there is a need to develop new sensors to detect the presence of a human in the vicinity of a robot. One such sensor is an electronic skin (e-skin). Manufacturing and testing new e-skin prototypes is labor-intensive. This paper presents a software toolchain developed to simulate the operation of an e-skin used to detect human proximity. The toolchain is based on the finite element method and has been developed exclusively with free and open-source software. The presented toolchain makes it possible to test e-skin modifications without the need for a physical prototype and significantly reduces implementation costs. The developed solution is multi-platform and allows parallel and multi-threaded calculations conducted on multiple machines simultaneously. This paper presents modeling results obtained for a simplified e-skin sensor, which are consistent with experimental results on the actual model.
VR Game for Powerlifting Training
Authors: Popielski Krzysztof , Matys-Popielska Katarzyna , Sibilska-Mroziewicz Anna 
Published: July 2023

AbstractVirtual reality applications are becoming more and more popular. In addition to apparent uses like providing entertainment, VR applications are finding use in fields such as education, engineering, and architecture. The market for VR games used in medicine and sports is also thriving. The applications allow monitoring of an athlete’s progress, training advanced movements specific to a given sport, and are difficult to reproduce during traditional training. A significant advantage of this type of solution is the increased safety of the user and, thus, a lower risk of injury. The article presents a VR application designed for the training of a powerlifting triathlon. This sport consists of three exercises. They are performed by both strength athletes and those training in other sports to prepare for the season properly. Due to the fact that they are simple multi-joint exercises, they fall into the collection of exercises often performed by amateur trainers. Despite their significant popularity and the undoubted advantages of performing them, it is often observed that they are performed incorrectly, which significantly increases the risk of injury. The purpose of the application is to enable safe training and learning of correct movement patterns of powerlifting exercises, regardless of the user’s level of proficiency.
A Case for VR Briefings: Comparing Communication in Daily Audio and VR Mission Control in a Simulated Lunar Mission
Authors: Skorupska Kinga , Grzeszczuk Maciej , Jaskulska Anna , Kornacka Monika , Pochwatko Grzegorz , Kopeć Wiesław 
Published: July 2023

AbstractAlpha-XR Mission conducted by XR Lab PJAIT focused on research related to individual and crew well-being and participatory team collaboration in ICE (isolated, confined and extreme) conditions. In this two-week mission within an analog space habitat, collaboration, objective execution and leisure was facilitated and studied by virtual reality (VR) tools. The mission commander and first officer, both experienced with virtual reality, took part in daily briefings with mission control. In the first week the briefings were voice-only conducted via a channel on Discord. During the following week last briefings were conducted in VR, using Horizon Workrooms. This qualitative pilot study employing participatory observation revealed that VR facilitates communication, especially on complex problems and experiences, providing the sense of emotional connection and shared understanding, that may be lacking in audio calls. The study points to the need to further explore VR-facilitated communication in high-stake environments as it may improve relationships, well-being, and communication outcomes.
Kreative Unmittelbarkeit? Zur rhetorischen Textur von Goethes Frankfurter Hymnen
Authors: Drux Rudolf 
Published: July 2023

ZusammenfassungIm 12. Buch von Dichtung und Wahrheit (1812) hat J. W. v. Goethe sein hymnisches Gedicht ‚Wandrers Sturmlied’ (1772) als „Halbunsinn“ bezeichnet; den habe der „Wandrer in der Not“ von sich gegeben. Mit diesem harschen Urteil nimmt im Rückblick der klassische Dichter nicht nur Abstand von seinen enthusiastischen Jugendwerken, sondern weist diese auch als kreative ‚Hervorbringungen‘ unmittelbaren Erlebens aus. Und eben solche waren von den Literaturtheoretikern seit den 1730er Jahren mehrfach gefordert worden, z. B. von J. J. Breitinger, der 1740 die „hertzrührende Schreibart“ proklamierte, die „geraden Wegs auf die Bewegung des Herzens los“ gehe. Eine gefühlsintensive und unvermittelte Sprechweise hat Goethe durch die starke Anlehnung an Pindars Oden zu erreichen versucht, dabei allerdings den Eindruck spontaner Kreativität vor allem durch den gezielten Einsatz rhetorischer Mittel hervorgerufen. Darüber hinaus hat er in seinen Sturm-und-Drang-Oden unterschiedliche Verhaltensweisen dargestellt, die zusammengenommen einen neuen Künstlertypus charakterisieren, nämlich das „Originalgenie“. Während in ästhetischen Abhandlungen und literaturkritischen Essays der Aufklärung die Abkehr von der technisch-regelhaften Rhetorik beschworen wird, bringt die Verwendung der Rhetorik in Goethes lyrischer Praxis der 1770er Jahre gerade den neuen ‚genialischen‘ Ton hervor, dessen signifikante Merkmale seine Frankfurter Hymnen repräsentieren, was die exemplarische Analyse von ‚Prometheus‘ und ‚An Schwager Kronos‘ zu zeigen vermag.
Diet composition of wild columbiform birds: next-generation sequencing of plant and metazoan DNA in faecal samples
Authors: Schumm Yvonne R. , Masello Juan F. , Vreugdenhil-Rowlands Jennifer , Fischer Dominik , Hillerich Klaus , Quillfeldt Petra 
Published: July 2023

AbstractAccurate knowledge of a species’ diets is fundamental to understand their ecological requirements. Next-generation sequencing technology has become a powerful and non-invasive tool for diet reconstruction through DNA metabarcoding. Here, we applied those methods on faecal samples of Common Woodpigeons Columba palumbus, European Turtle Doves Streptopelia turtur, and Stock Doves C. oenas to investigate their dietary composition. By applying primer pairs targeting both the ITS2 region of plant nuclear DNA and the mitochondrial COI region of metazoan DNA, we provide a complete picture of the food ingested and estimate the dietary overlap between the columbiform species during the breeding season. Animal DNA was present very rarely, and a diverse range of plants from the class Spermatopsida dominated the diet, with Asteraceae, Brassicaceae, Cucurbitaceae, Fabaceae, and Poaceae as the most frequently represented families. Generally, we detected a variability between species but also amongst individual samples. Plant species already known from previous studies, mainly visual analyses, could be confirmed for our individuals sampled in Germany and the Netherlands. Our molecular approach revealed new plant taxa, e.g. plants of the families Malvaceae for Woodpigeons, Lythraceae for Turtle Doves, and Pinaceae for Stock Doves, not found in previous studies using visual analyses. Although most of the plant species observed were of wild origin, the majority of cultivated plants found were present in higher frequencies of occurrence, suggesting that cultivated food items likely constitute an important part of the diet of the studied species. For Turtle Doves, a comparison with previous studies suggested regional differences, and that food items (historically) considered as important part of their diet, such as Fumitory Fumaria sp. and Chickweed Stellaria media, were missing in our samples. This indicates that regional variations as well as historic and current data on diet should be considered to plan tailored seed mixtures, which are currently proposed as an important management measure for conservation of the rapidly declining Turtle Dove.
The three co’s to jointly model commodity markets: co-production, co-consumption and co-trading
Authors: Schischke Amelie , Papenfuß Patric , Rathgeber Andreas 
Published: July 2023

AbstractIn this study, we develop a framework, based on a global vector autoregression (GVAR) model, to unite two perspectives on commodity markets, the commodity-specific, single-market-centered approach, investigating the micro- and macroeconomic drivers of commodity prices, and the market perspective, which observes joint movements of commodity prices on exchanges. Thereby, the GVAR model disentangles single market from inter-market effects, while simultaneously accounting for the impact of macroeconomic factors. We apply the framework to the six industrial metals markets, reflecting their interdependencies via their co-production, co-consumption, or co-trading relation. In particular, the numerous significant spillover effects in the cross-commodity dimension underline the importance of jointly modeling commodity markets. While the strong co-movement between industrial metal prices is represented exceptionally well by our framework, the microeconomic supply and demand attributes of the commodities have significant impact, within and across markets, even on price variables, highlighting their relevance in modern commodity market models. Moreover, we detect global shocks, e.g., an increase in global demand, affect each commodity market to a similar extent.
Application of infrared matrix-assisted laser desorption electrospray ionization mass spectrometry for morphine imaging in brain tissue
Authors: Desyaterik Yury , Mwangi Joseph N. , McRae MaryPeace , Jones Austin M. , Kashuba Angela D. M. , Rosen Elias P. 
Published: July 2023

AbstractHere, we present a method developed for the analysis of spatial distributions of morphine in mouse brain tissue using infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) coupled to a Q Exactive Plus mass spectrometer. The method is also capable of evaluating spatial distributions of the antiretroviral drug abacavir. To maximize sensitivity to morphine, we analyze various Orbitrap mass spectrometry acquisition modes utilizing signal abundance and frequency of detection as evaluation criteria. We demonstrate detection of morphine in mouse brain and establish that the selected ion monitoring mode provides 2.5 times higher sensitivity than the full-scan mode. We find that distributions of morphine and abacavir are highly correlated with the Pearson correlation coefficient R = 0.87. Calibration showed that instrument response is linear up to 40 pg/mm2 (3.8 μg/g of tissue).
Graphical abstract
Generation of experimental data for model training to optimize fouling prediction
Authors: Jarmatz Niklas , Augustin Wolfgang , Scholl Stephan 
Published: July 2023

AbstractTo successfully deal with a complex fouling problem usually entails a good understanding based on a broad spectrum of additional data. Meanwhile, a huge amount of process data is recorded and may be utilized to create a better understanding and prediction of the fouling status of an apparatus or the entire production plant. We propose a systematic approach to generate training data in a pipe fitting as a pre-step before the potential use of the entire data set of the production plant, irrespective of the relevance for the fouling prediction. Therefore, a temperature-based detection of the heat transfer resistance of plastic discs (representing 'artificial’ fouling) and a particulate material deposition (representing ‘real’ fouling) was applied in a pipe fitting obtaining reproducible results. The parameter variation experiments exhibit linear fouling curves and are therefore very suitable for model training. The temperature measurements confirm a correlation between the obtained temperature drop and the layer thickness of the plastic discs as well as the deposited particle fouling mass.
Role of a radiopaque agent and surveillance radiographs for peripherally inserted central catheters in newborn infants
Authors: Stekhova Yulia , Kodur Vinayak , Lowe Gemma , Baird Jane , Lowe Krista , Elhindi James , Maheshwari Rajesh , Shah Dharmesh , D’Cruz Daphne , Luig Melissa , Jani Pranav R. 
Published: July 2023

Abstract
Background
Controversy exists regarding the use of a radiopaque agent to identify peripherally inserted central catheter (PICC) tip positions in newborn infants and of serial radiography to monitor PICC tip migration.

Objective
To investigate the roles of (1) the injection of a radiopaque agent to identify PICC tip position and (2) the performance of weekly radiography to monitor PICC migration.

Materials and methods
This retrospective single-centre cohort study included newborn infants who received a PICC between 1 January 2016 and 31 December 2020. A radiopaque agent was injected to identify PICC tip position and radiographs were performed weekly to detect PICC migration.

Results
We identified 676 PICC episodes in 601 infants. A radiopaque agent was used for 590 of these episodes. There was no difference in the proportion of central PICC tip positions based on radiopaque agent use status (490/590, 83% for the radiopaque agent used group versus 73/85, 85.8% for the radiopaque agent not used group, P=0.51). Irrespective of the site of PICC insertion, outward migration was observed for most centrally placed PICCs over their entire in situ duration. Inward migration was identified in 23 out of 643 PICC episodes (3.6%) only on radiographs obtained on or before day 7. Based on serial radiographs, the odds for PICC tips remaining in a central position were lower the longer the PICC remained in situ (adjusted odds ratio-OR 0.93; 95% confidence interval 0.92–0.95). There was no difference in PICC migration between side and limb of insertion.

Conclusion
PICC tips can be identified without injection of a radiopaque agent. Serial radiographs identified PICC migration over the in situ duration. This study has implications for reducing exposure to a radiopaque agent and ongoing migration surveillance practices.

Graphical abstract