@misc{13726,
  abstract     = {{This study aims to review and analyze the relationship between early childhood breastfeeding, nutrition, and weight status in children. We hypothesized (a) that differences in breastfeeding practices may explain sociodemographic disparities in children’s overweight and obesity, and (b) that breastfeeding practices may also explain sociodemographic disparities in children’s diet quality. Data from N = 7180 children aged 2 to 6 years from NHANES (2005–2018) were classified based on weight status (normal weight, overweight, obesity, severe obesity), breastfeeding, and in terms of healthy eating (using the Healthy Eating Index). We used multinomial logistic and linear regressions to determine pathways between sociodemographic variables, breastfeeding, and weight status, as well as between sociodemographic and breastfeeding variables and healthy eating scores. Sociodemographic factors were significantly associated with childhood weight status, breastfeeding history, and healthy eating. Weight status increased with child male gender, Mexican American and Other Hispanic ethnicity, lower education, lower income, and single marital status; breastfeeding decreased with child age, Non-Hispanic Black ethnicity, lower education, and single marital status, but increased with Mexican American ethnicity and higher income. A mediation analysis showed indirect pathways from sociodemographic variables to weight status via breastfeeding duration. Similar patterns emerged for healthy eating. The results indicate that breastfeeding is associated with modestly lower odds of severe obesity and improved diet scores in early childhood, even after accounting for socioeconomic and demographic differences. Breastfeeding appears to be a meaningful early-life factor with a significant impact on weight and healthy dietary outcomes.}},
  author       = {{Klicker, Frauke and Halbeisen, Georg and Paslakis, Georgios}},
  booktitle    = {{Reviews in Endocrine and Metabolic Disorders}},
  issn         = {{1573-2606}},
  keywords     = {{Breastfeeding, Obesity, Healthy eating, Weight disorders, Social diversity}},
  publisher    = {{Springer }},
  title        = {{{Can breastfeeding practices explain sociodemographic disparities in childhood obesity and healthy eating? Results from NHANES 2005–2018}}},
  doi          = {{10.1007/s11154-026-10049-2}},
  year         = {{2026}},
}

@misc{13225,
  abstract     = {{In recent years, there has been an increasing awareness of the importance of incorporating diversity into research projects, focusing on both how they are conducted and their content. Funding organizations have started to require that research applicants pay attention to inclusion and diversity by considering gender dimensions and other diversity factors in their project plans and ensuring gender equality during execution. Based on an extensive literature research and expert discussions on how to develop and implement diversity strategies in large collaborative research projects, we argue that there is a lack of practical advice in existing literature. Drawing from our own experiences in conceptualizing and implementing a Diversity Program across four universities in Germany, we propose a framework for effectively integrating diversity into collaborative research initiatives across various academic fields.}},
  author       = {{Lorke, Mariya and Amelung, Rena and Kuchling, Peter and Paaßen, Benjamin and Pein-Hackelbusch, Miriam and Schloots, Franziska and Schulz, Klara and Nauerth, Annette}},
  booktitle    = {{Diversity & Inclusion Research}},
  issn         = {{2835-236X}},
  keywords     = {{collaborative research projects, diversity strategy, gender equality}},
  number       = {{4}},
  publisher    = {{Wiley}},
  title        = {{{Development and Implementation of Diversity Programs in Large Collaborative Research Projects: An Example From Germany}}},
  doi          = {{10.1002/dvr2.70040}},
  volume       = {{2}},
  year         = {{2025}},
}

@misc{11498,
  author       = {{Nether, Ulrich and Minge, Michael and Rubart, Jessica and Pieper, Svenja and Tasci, Aylin and Hartmann, Lara and Herrmann, Kristina}},
  keywords     = {{Diversity, Equity, Inclusion, Teaching, University, interdisciplinary}},
  pages        = {{141}},
  publisher    = {{Technische Hochschule Ostwestfalen-Lippe}},
  title        = {{{DiversityLab TH OWL}}},
  year         = {{2024}},
}

@misc{13586,
  author       = {{Paslakis, Georgios and Dimitropoulos, Gina and Halbeisen, Georg}},
  booktitle    = {{Frontiers in Psychiatry}},
  issn         = {{1664-0640}},
  keywords     = {{anorexia nervosa, bulimia nervosa, binge-eating disorder, social diversity, gender bias, ethnic bias}},
  publisher    = {{Frontiers Research Foundation}},
  title        = {{{A global perspective on diversity in eating disorders}}},
  doi          = {{10.3389/fpsyt.2023.1276078}},
  volume       = {{14}},
  year         = {{2023}},
}

@misc{13632,
  abstract     = {{Objective: Phenotypical comparisons between individuals with obesity without binge eating disorder (OB) and individuals with obesity and comorbid binge eating disorder (OB + BED) are subject to ongoing investigations. At the same time, gender-related differences have rarely been explored, raising the question whether men and women with OB and OB + BED may require differently tailored treatments.Method: We retrospectively compared pre- versus post-treatment data in a matched sample of n = 180 men and n = 180 women with OB or OB + BED who received inpatient treatment.Results: We found that men displayed higher weight loss than women independent of diagnostic group. In addition, men with OB + BED showed higher weight loss than men with OB after 7 weeks of treatment.Conclusions: The present findings add to an emerging yet overall still sparse body of studies comparing phenotypical features and treatment outcomes in men and women with OB and OB + BED; implications for further research are discussed.Clinical Trial Registration: The study was prospectively registered with the German Clinical Trial Register as part of application DRKS00028441.}},
  author       = {{Brandt, Gerrit and Halbeisen, Georg and Braks, Karsten and Huber, Thomas J. and Paslakis, Georgios}},
  booktitle    = {{European Eating Disorders Review}},
  issn         = {{1099-0968}},
  keywords     = {{binge eating disorder, diversity, gender, obesity, psychotherapy}},
  number       = {{3}},
  pages        = {{413--424}},
  publisher    = {{Wiley}},
  title        = {{{Gender differences in individuals with obesity and binge eating disorder: A retrospective comparison of phenotypical features and treatment outcomes}}},
  doi          = {{10.1002/erv.2972}},
  volume       = {{31}},
  year         = {{2023}},
}

@misc{11376,
  abstract     = {{<jats:p>concentration is an important objective. The phenotype of the cells in a reactor plays an important role. Are clonal cell populations showing high cell-specific growth rates more favorable than cell lines with higher cell-specific productivities or vice versa? Five clonal Chinese hamster ovary cell populations were analyzed based on the data of a 3-month-stability study. We adapted a mechanistic cell culture model to the experimental data of one such clonally derived cell population. Uncertainties and prior knowledge concerning model parameters were considered using Bayesian parameter estimations. This model was used then to define an inoculum train protocol. Based on this, we subsequently simulated the impacts of differences in growth rates (±10%) and production rates (±10% and ±50%) on the overall cultivation time, including making the inoculum train cultures; the final production phase, the volumetric titer in that bioreactor and the ratio of both, defined as overall process productivity. We showed thus unequivocally that growth rates have a higher impact (up to three times) on overall process productivity and for product output per year, whereas cells with higher productivity can potentially generate higher product concentrations in the production vessel.}},
  author       = {{Hernández Rodriguez, Tanja and Morerod, Sophie and Pörtner, Ralf and Wurm, Florian M. and Frahm, Björn}},
  booktitle    = {{Processes}},
  issn         = {{2227-9717}},
  keywords     = {{clonal cell population, phenotypic diversity, inoculum train, uncertainty-based, cell culture model, biopharmaceutical manufacturing}},
  number       = {{6}},
  publisher    = {{MDPI AG}},
  title        = {{{Considerations of the Impacts of Cell-Specific Growth and Production Rate on Clone Selection—A Simulation Study}}},
  doi          = {{10.3390/pr9060964}},
  volume       = {{9}},
  year         = {{2021}},
}

@inbook{7983,
  abstract     = {{For the manufacturing of complex biopharmaceuticals using bioreactors with cultivated mammalian cells, high product concentration is an important objective. The phenotype of the cells in a reactor plays an important role. Are clonal cell populations showing high cell-specific growth rates more favorable than cell lines with higher cell-specific productivities or vice versa? Five clonal Chinese hamster ovary cell populations were analyzed based on the data of a 3-month-stability study. We adapted a mechanistic cell culture model to the experimental data of one such clonally derived cell population. Uncertainties and prior knowledge concerning model parameters were considered using Bayesian parameter estimations. This model was used then to define an inoculum train protocol. Based on this, we subsequently simulated the impacts of differences in growth rates (±10%) and production rates (±10% and ±50%) on the overall cultivation time, including making the inoculum train cultures; the final production phase, the volumetric titer in that bioreactor and the ratio of both, defined as overall process productivity. We showed thus unequivocally that growth rates have a higher impact (up to three times) on overall process productivity and for product output per year, whereas cells with higher productivity can potentially generate higher product concentrations in the production vessel.}},
  author       = {{Hernández Rodriguez, Tanja and Morerod, Sophie and Pörtner, Ralf and Wurm, Florian M. and Frahm, Björn}},
  booktitle    = {{Bioprocess Systems Engineering Applications in Pharmaceutical Manufacturing}},
  isbn         = {{978-3-0365-5210-1}},
  issn         = {{2227-9717 }},
  keywords     = {{clonal cell population, phenotypic diversity, inoculum train, uncertainty-based, cell culture model, biopharmaceutical manufacturing}},
  pages        = {{49--74}},
  publisher    = {{MDPI}},
  title        = {{{Considerations of the impacts of cell-specific growth and production rate on clone selection – a simulation study}}},
  doi          = {{10.3390/pr9060964}},
  volume       = {{special issue}},
  year         = {{2021}},
}

@inproceedings{2376,
  abstract     = {{Wireless industrial environments are dominated by multipath propagation and interference. In order to handle spatial diversity, a possible approach is dividing the physical area into many small cells. The spatial diversity is turned into FDMA by utilizing different frequency bands for neighboring cells. A challenging use case with fast vehicles traveling over long distances in a short time is the packaging industry. It would require many fast handoffs for each vehicle. Thus, a small cell FDMA approach is not appropriate. Conversely, employing radiating lines eliminates FDMA-based handoff issues, and reduces multipath delay spread and signal attenuation compared to centralized approaches. Additionally, radiating lines perform well in high-speed, low-power and long-range environments. In this paper, we realize a novel radiating-line-based, high-reliable, real-time transmission system with near-field coupling. This wireless transmission method results in a frequency-flat, time-invariant radio channel for the given requirements. Employing antenna diversity results in significant improvements in the system's performance compared to single antenna solutions.}},
  author       = {{Fliedner, Niels Hendrik and Meier, Uwe and Neugebauer, Thomas}},
  booktitle    = {{2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{9781538671085}},
  keywords     = {{Spatial diversity, Antenna measurements, Real-time systems, Frequency measurement, Couplings, Antennas}},
  location     = {{ Turin, Italy}},
  publisher    = {{IEEE}},
  title        = {{{Performance Analysis of a High-Reliable Real-Time Wireless Transmission System with Near Field Coupling}}},
  doi          = {{10.1109/etfa.2018.8502494}},
  year         = {{2018}},
}