TY - JOUR A1 - Hermanussen, Michael A1 - Scheffler, Christiane A1 - Pulungan, Aman B. A1 - Bandyopadhyay, Arup Ratan A1 - Ghosh, Jyoti Ratan A1 - Özdemir, Ayşegül A1 - Koca Özer, Başak A1 - Musalek, Martin A1 - Lebedeva, Lidia A1 - Godina, Elena A1 - Bogin, Barry A1 - Tutkuviene, Janina A1 - Budrytė, Milda A1 - Gervickaite, Simona A1 - Limony, Yehuda A1 - Kirchengast, Sylvia A1 - Buston, Peter A1 - Groth, Detlef A1 - Rösler, Antonia A1 - Gasparatos, Nikolaos A1 - Erofeev, Sergei A1 - Novine, Masiar A1 - Navazo, Bárbara A1 - Dahinten, Silvia A1 - Gomuła, Aleksandra A1 - Nowak-Szczepańska, Natalia A1 - Kozieł, Sławomir T1 - Environment, social behavior, and growth BT - Proceedings of the 30th Aschauer Soiree, held at Krobielowice, Poland, June 18th 2022 JF - Human biology and public health N2 - Twenty-four scientists met for the annual Auxological conference held at Krobielowice castle, Poland, to discuss the diverse influences of the environment and of social behavior on growth following last year’s focus on growth and public health concerns (Hermanussen et al., 2022b). Growth and final body size exhibit marked plastic responses to ecological conditions. Among the shortest are the pygmoid people of Rampasasa, Flores, Indonesia, who still live under most secluded insular conditions. Genetics and nutrition are usually considered responsible for the poor growth in many parts of this world, but evidence is accumulating on the prominent impact of social embedding on child growth. Secular trends not only in the growth of height, but also in body proportions, accompany the secular changes in the social, economic and political conditions, with major influences on the emotional and educational circumstances under which the children grow up (Bogin, 2021). Aspects of developmental tempo and aspects of sports were discussed, and the impact of migration by the example of women from Bangladesh who grew up in the UK. Child growth was considered in particular from the point of view of strategic adjustments of individual size within the network of its social group. Theoretical considerations on network characteristics were presented and related to the evolutionary conservation of growth regulating hypothalamic neuropeptides that have been shown to link behavior and physical growth in the vertebrate species. New statistical approaches were presented for the evaluation of short term growth measurements that permit monitoring child growth at intervals of a few days and weeks. KW - St. Nicolas House Analysis KW - child growth KW - body proportions KW - social network KW - public health KW - migration Y1 - 2023 U6 - https://doi.org/10.52905/hbph2023.1.59 SN - 2748-9957 VL - 1 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Novine, Masiar A1 - Mattsson, Cecilie Cordua A1 - Groth, Detlef T1 - Network reconstruction based on synthetic data generated by a Monte Carlo approach JF - Human biology and public health N2 - Background: Network models are useful tools for researchers to simplify and understand investigated systems. Yet, the assessment of methods for network construction is often uncertain. Random resampling simulations can aid to assess methods, provided synthetic data exists for reliable network construction. Objectives: We implemented a new Monte Carlo algorithm to create simulated data for network reconstruction, tested the influence of adjusted parameters and used simulations to select a method for network model estimation based on real-world data. We hypothesized, that reconstructs based on Monte Carlo data are scored at least as good compared to a benchmark. Methods: Simulated data was generated in R using the Monte Carlo algorithm of the mcgraph package. Benchmark data was created by the huge package. Networks were reconstructed using six estimator functions and scored by four classification metrics. For compatibility tests of mean score differences, Welch’s t-test was used. Network model estimation based on real-world data was done by stepwise selection. Samples: Simulated data was generated based on 640 input graphs of various types and sizes. The real-world dataset consisted of 67 medieval skeletons of females and males from the region of Refshale (Lolland) and Nordby (Jutland) in Denmark. Results: Results after t-tests and determining confidence intervals (CI95%) show, that evaluation scores for network reconstructs based on the mcgraph package were at least as good compared to the benchmark huge. The results even indicate slightly better scores on average for the mcgraph package. Conclusion: The results confirmed our objective and suggested that Monte Carlo data can keep up with the benchmark in the applied test framework. The algorithm offers the feature to use (weighted) un- and directed graphs and might be useful for assessing methods for network construction. KW - Monte Carlo method KW - network reconstruction KW - mcgraph KW - random sampling KW - linear enamel hypoplasia Y1 - 2022 U6 - https://doi.org/10.52905/hbph2021.3.26 SN - 2748-9957 VL - 2021 IS - 3, Summer School Supplement PB - Universitätsverlag Potsdam CY - Potsdam ER -