@misc{ReuterPischkeRigoetal., author = {Reuter, Marvin and Pischke, Claudia R. and Rigo, Mariann and Diehl, Katharina and Spallek, Jacob and Richter, Matthias and H{\"o}vener, Claudia and Dragano, Nico}, title = {Health inequalities among young workers: the mediating role of working conditions and company characteristics}, series = {International Archives of Occupational and Environmental Health}, volume = {96}, journal = {International Archives of Occupational and Environmental Health}, number = {10}, issn = {1432-1246}, doi = {10.1007/s00420-023-02010-6}, pages = {1313 -- 1324}, abstract = {Objective Few studies have investigated health inequalities among young workers. The objectives of this study are to assess the extent of health inequalities in a sample of job starters and to explore the contribution of job demands and organisational factors. Methods We analyze data from the BIBB/BAuA Youth Employment Survey 2012. The cross-sectional survey includes a representative sample of 3214 German employees, apprentices, and trainees aged 15-24 years. Individuals were grouped by their years of schooling into low (< 12 years) and high levels of education (≥ 12 years). Regression analysis estimated the link between education and four health outcomes: self-rated health, number of health events, musculoskeletal symptoms, and mental health problems over the last 12 months. Counterfactual mediation analysis tested for indirect effects of education via working conditions (i.e., physical and psychosocial job demands) and company characteristics (i.e., company size, health prevention measures, financial situation, downsizing). All analyses were adjusted for age, sex, nationality, region, working hours, job tenure, employment relationship, and economic sector. Results Highly educated workers reported better self-rated health (b = 0.24, 95\% CI 0.18-0.31) and lower numbers of health events (Rate Ratio (RR) = 0.74, 95\% CI 0.67-0.82), musculoskeletal symptoms (RR = 0.73, 95\% CI 0.66-0.80) and mental health problems (RR = 0.84, 95\% CI 0.76-0.93). Total job demands explained between 21.6\% and 87.2\% of the educational differences (depending on health outcome). Unfavourable company characteristics were associated with worse health, but showed no or only small mediation effects. Conclusions Health inequalities are already present at the early working career due to socio-economically stratified working hazards. To enhance prevention measures that aim at reducing inequalities in workplace health, we propose shifting attention towards earlier stages of life.}, language = {en} } @misc{HoffmannSanderRattayetal., author = {Hoffmann, Stephanie and Sander, Lydia and Rattay, Petra and Blume, Miriam and H{\"o}vener, Claudia and Schneider, Sven and Richter, Matthias and Pischke, Claudia R. and Sch{\"u}ttig, Wiebke and De Bock, Freia and Spallek, Jacob}, title = {Do family characteristics contribute to a socioeconomic gradient in overweight in early childhood? - Single mediation analyses of data from German preschool children}, series = {Preventive Medicine Reports}, volume = {33}, journal = {Preventive Medicine Reports}, issn = {2211-3355}, doi = {10.1016/j.pmedr.2023.102178}, abstract = {Children's overweight is strongly associated with family socioeconomic position (SEP) and family characteristics (FC). There is limited research on the extent to which FC account for a socioeconomic gradient in childhood overweight. This study examined whether FC explain SEP differences in the prevalence of overweight. The study used baseline data of preschool-aged children from the German 'PReschool INtervention Study'. The sample (n = 872, 48\% girls) was recruited at kindergartens in Baden-W{\"u}rttemberg, Germany. Data included children's measured weight status and parents' reports on socioeconomic indicators (e.g., school education, vocational education, income) and FC. Variables represent main determinants of overweight (nutrition: sweets consumption in front of TV, soft drink consumption, regular breakfast, child sets table; physical activity: outdoor sports; parental role model). In single mediation analyses indirect effects of SEP on overweight were analysed (OR[95\%CI]). Preschool girls and boys with low parental education had higher odds for overweight than children with high parental education. Among boys, low levels of parental education contributed to the odds of overweight via indirect effects by both factors 'sweets consumption in front of TV' (OR = 1.31[1.05-1.59]) and 'no sports' (OR = 1.14[1.01-1.38]). Among girls, FC measured did not explain SEP differences in overweight. Family nutrition and parental/family physical activity contribute to inequalities in overweight among preschool boys, but not girls. Research is needed to identify FC that explain inequalities in overweight for both.}, language = {en} } @misc{SchobRichterKoteckietal., author = {Schob, Daniela and Richter, Lukas and Kotecki, Krzysztof and Kurpisz, Dariusz and Roszak, Robert and Maasch, Philipp and Ziegenhorn, Matthias}, title = {Characterization and Simulation of Shear-Induced Damage in Selective-Laser-Sintered Polyamide 12}, series = {Materials}, volume = {17}, journal = {Materials}, number = {1}, issn = {1996-1944}, doi = {10.3390/ma17010038}, pages = {15}, abstract = {This paper presents the characterisation of selective-laser-sintered (SLS) samples of polyamide 12 (PA12) under shear loading. PA12 is a semi-crystalline thermoplastic and is used in various industries. Its behaviour under shear stress, which is particularly important for product reliability, has not yet been sufficiently investigated. This research focuses on understanding the material and damage behaviour of PA12 under shear-induced stress conditions. The study included quasi-static experiments and numerical simulations. Samples were prepared via SLS and tested according to ASTM standards. Digital image correlation (DIC) was used for precise deformation measurements. The Chaboche material model was used for the viscoplastic behaviour in the numerical simulations. Due to existing material discontinuities in the form of voids, the material model was coupled with the Gurson-Tvergaard-Needleman (GTN) damage model. A modified approach of the GTN model was used to account for low stress triaxiality under shear loading. These models were implemented in MATLAB and integrated into Abaqus via a User Material (UMAT) subroutine. The results of the experiments and simulations showed a high degree of accuracy. An important finding was the significant influence of the shear factor kw on the damage behaviour, especially during failure. This factor proved to be essential for the accurate prediction of material behaviour under shear-induced stress conditions. The integration of the modified GTN model with the Chaboche material model in UMAT enables an accurate prediction of the material and damage behaviour and thus makes an important contribution to the understanding of the mechanical material behaviour of SLS PA12 specimens.}, language = {en} } @misc{RichterKarnapkeWerner, author = {Richter, Martin and Karnapke, Reinhardt and Werner, Matthias}, title = {Utilizing sensor and actuator virtualization to achieve a systemic view of mobile heterogeneous cyber-physical systems}, series = {Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications}, journal = {Proceedings of the 14th International Conference on Simulation and Modeling Methodologies, Technologies and Applications}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-708-5}, doi = {10.5220/0012715800003758}, pages = {207 -- 214}, abstract = {When programming cyber-physical systems, application developers currently utilize physical sensors and actuators individually to achieve the desired observations and impacts within the physical world. This is an error-prone and complex task given the size, heterogeneity, and mobility of prevailing cyber-physical systems. We introduce an application model that allows the application developers to take a physical perspective. By means of this model, the programmers describe desired observations and influences with respect to the physical world without directly referencing physical devices. We present an additional model for a runtime environment that transparently utilizes the available physical devices to reach the application developers' targets. We show that an implementation of our models is functional via simulation.}, language = {en} } @misc{DadaczynskiKamanRavensSiebereretal., author = {Dadaczynski, Kevin and Kaman, Anne and Ravens-Sieberer, Ulrike and Fischer, Saskia M. and Bilz, Ludwig and Sendatzki, Saskia and Helmchen, Ronja M. and Rathmann, Katharina and Richter, Matthias}, title = {Problematische Nutzung digitaler Medien und Gesundheitskompetenz von Sch{\"u}lerinnen und Sch{\"u}lern in Deutschland : Befunde der HBSC-Studie 2022}, series = {Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz}, journal = {Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz}, publisher = {Springer Science and Business Media LLC}, issn = {1436-9990}, doi = {10.1007/s00103-025-04008-6}, pages = {11}, abstract = {Hintergrund Der digitale Alltag von Kindern und Jugendlichen ist durch eine hohe Nutzung sozialer Medien und digitaler Spiele gepr{\"a}gt. Bisherige Forschung konnte gesundheitsabtr{\"a}gliche Konsequenzen einer problematischen Mediennutzung aufzeigen. Hingegen wurden Zusammenh{\"a}nge mit der Gesundheitskompetenz kaum untersucht, obgleich Rahmenmodelle Gesundheitskompetenz als Determinante des Gesundheitsverhaltens nahelegen. Methoden Dieser Beitrag greift auf Daten der repr{\"a}sentativen Studie „Health Behaviour in School-aged Children" (HBSC) in Deutschland aus dem Jahr 2022 mit n = 6475 Sch{\"u}lerinnen und Sch{\"u}lern zur{\"u}ck. Es wurden Zusammenh{\"a}nge zwischen der problematischen Nutzung von sozialen Medien und der Videospielintensit{\"a}t sowie der Gesundheitskompetenz unter Ber{\"u}cksichtigung soziodemografischer und -{\"o}konomischer Merkmale bivariat und multivariat untersucht. Ergebnisse Die Pr{\"a}valenz der problematischen Nutzung sozialer Medien betrug 11,1 \% und etwa ein Drittel gab an, mehr als 9 h pro Woche mit digitalen Spielen zu verbringen. Eine geringe Gesundheitskompetenz stand mit beiden Formen der Mediennutzung in signifikantem Zusammenhang. Zudem war die problematische Nutzung sozialer Medien mit einer weiblichen und genderdiversen Geschlechtszugeh{\"o}rigkeit, dem Alter von 13 Jahren, dem Vorliegen eines Migrationshintergrunds und der Zugeh{\"o}rigkeit zu einer anderen Schulform als das Gymnasium verbunden. Eine hohe Spielintensit{\"a}t war mit einer m{\"a}nnlichen und genderdiversen Geschlechtszuordnung, der Zugeh{\"o}rigkeit zu den Altersgruppen der 13- und 15-J{\"a}hrigen und einem geringen famili{\"a}ren Wohlstand assoziiert. Diskussion Die Ergebnisse liefern nicht nur Hinweise f{\"u}r die Identifikation von Heranwachsenden mit besonderem Pr{\"a}ventionsbedarf, sondern betonen auch die Relevanz, die der Gesundheitskompetenz f{\"u}r das Mediennutzungsverhalten zukommt. Exemplarische Empfehlungen werden unter R{\"u}ckgriff auf die internationale Literatur aufgegriffen.}, language = {de} } @misc{KraljevskiDuckhornJuetal., author = {Kraljevski, Ivan and Duckhorn, Frank and Ju, Yong Chul and Tsch{\"o}pe, Constanze and Richter, Christian and Wolff, Matthias}, title = {Acoustic Resonance Recognition of Coins}, series = {2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 25-28 May 2020, Dubrovnik, Croatia}, journal = {2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 25-28 May 2020, Dubrovnik, Croatia}, publisher = {IEEE Xplore}, isbn = {978-1-7281-4460-3}, doi = {10.1109/I2MTC43012.2020.9129256}, pages = {6}, abstract = {In this study, we compare different machine learning approaches applied to acoustic resonance recognition of coins. Euro-cents and Euro-coins were classified by the sound emerging when throwing the coins onto a hard surface.The used dataset is a representative example of a small data which was collected in carefully prepared experiments.Due to the small number of coin specimens and the count of the collected observations, it was interesting to see whether deep learning methods can achieve similarly or maybe even better classification performances compared with more traditional methods.The results of the multi-class prediction of coin denominations are presented and compared in terms of balanced accuracy and Matthews Correlation Coefficient metrics. The feature analysis methods combined with the employed classifiers achieved acceptable results, despite the relatively small dataset.}, language = {en} } @inproceedings{TschoepeDuckhornRichteretal., author = {Tsch{\"o}pe, Constanze and Duckhorn, Frank and Richter, Christian and Bl{\"u}thgen, Peter and Wolff, Matthias}, title = {Intelligent Signal Processing on a Miniaturized Hardware Module}, series = {IEEE SENSORS Proceedings, Glasgow, Scotland, UK, Oct. 29 - Nov. 1, 2017}, booktitle = {IEEE SENSORS Proceedings, Glasgow, Scotland, UK, Oct. 29 - Nov. 1, 2017}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5090-1012-7}, doi = {10.1109/ICSENS.2017.8234023}, language = {en} } @inproceedings{TschoepeDuckhornRichteretal., author = {Tsch{\"o}pe, Constanze and Duckhorn, Frank and Richter, Christian and Bl{\"u}thgen, Peter and Wolff, Matthias}, title = {An embedded system for acoustic pattern recognition}, series = {IEEE SENSORS Proceedings, Glasgow, Scotland, UK, Oct. 29 - Nov. 1, 2017}, booktitle = {IEEE SENSORS Proceedings, Glasgow, Scotland, UK, Oct. 29 - Nov. 1, 2017}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-5090-1012-7}, doi = {10.1109/ICSENS.2017.8234380}, pages = {3}, language = {en} }