@article{Scheffler2013,
  author    = {Scheffler, Christiane},
  title     = {Variable and invariable proportions in the ontogenesis of the human face},
  series = {The journal of craniofacial surgery : an international journal dedicated to the practice of the art and science of craniofacial surgery ; official publication of the American Association of Pediatric Plastic Surgeons},
  volume    = {24},
  journal   = {The journal of craniofacial surgery : an international journal dedicated to the practice of the art and science of craniofacial surgery ; official publication of the American Association of Pediatric Plastic Surgeons},
  number    = {1},
  publisher = {Lippincott Williams \& Wilkins},
  address   = {Philadelphia},
  issn      = {1049-2275},
  doi       = {10.1097/SCS.0b013e31826d07a3},
  pages     = {237 -- 241},
  year      = {2013},
  abstract  = {The human face shows individual features and features that are characteristic for sex and age (the loss of childlike characteristics during maturation). The analysis of facial dimensions is essential for identifying individual features also for forensic issues. The analysis of facial proportions was performed on photogrammetric data from front views of 125 children. The data were pooled from 2 different studies. The children's data were obtained from a longitudinal study and reduced by random generator to ensure the data of adults from a separate cross-sectional study. We applied principal component analysis on photogrammetric facial proportions of 169 individuals: 125 children (63 boys and 62 girls) aged 2-7 years and 44 adults (18 men and 26 women) aged 18-65 years. Facial proportions depend on age and sex. Three components described age: (1) proportions of facial height to head height, (2) proportions that involve endocanthal breadth, and (3) bigonial to bizygonial proportions. Proportions that associate with sex are connected with nasal distances and nasal to bizygonial distances. Twenty-three percent of the variance, particularly variance that are connected with proportions of lower and middle face heights to head height, do neither depend on sex nor on age and thus appear useful for screening purposes, eg, for dysmorphic genetic syndromes.},
  language  = {en}
}
@article{JannaschKroegerAgnolietal.2019,
  author    = {Jannasch, Franziska and Kr{\"o}ger, Janine and Agnoli, Claudia and Barricarte, Aurelio and Boeing, Heiner and Cayssials, Val{\´e}rie and Colorado-Yohar, Sandra and Dahm, Christina C. and Dow, Courtney and Fagherazzi, Guy and Franks, Paul W. and Freisling, Heinz and Gunter, Marc J. and Kerrison, Nicola D. and Key, Timothy J. and Khaw, Kay-Tee and K{\"u}hn, Tilman and Kyro, Cecilie and Mancini, Francesca Romana and Mokoroa, Olatz and Nilsson, Peter and Overvad, Kim and Palli, Domenico and Panico, Salvatore and Quiros Garcia, Jose Ramon and Rolandsson, Olov and Sacerdote, Carlotta and Sanchez, Maria-Jose and Sahrai, Mohammad Sediq and Sch{\"u}bel, Ruth and Sluijs, Ivonne and Spijkerman, Annemieke M. W. and Tjonneland, Anne and Tong, Tammy Y. N. and Tumino, Rosario and Riboli, Elio and Langenberg, Claudia and Sharp, Stephen J. and Forouhi, Nita G. and Schulze, Matthias Bernd and Wareham, Nicholas J.},
  title     = {Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations},
  series = {The Journal of Nutrition},
  volume    = {149},
  journal   = {The Journal of Nutrition},
  number    = {6},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {0022-3166},
  doi       = {10.1093/jn/nxz031},
  pages     = {1047 -- 1055},
  year      = {2019},
  abstract  = {Background: Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence. Objective: The aim of this study was to derive country-specific exploratory dietary patterns, investigate their association with type 2 diabetes incidence, and replicate diabetes-associated dietary patterns in other countries. Methods: Dietary intake data were used, assessed by country-specific questionnaires at baseline of 11,183 incident diabetes cases and 14,694 subcohort members (mean age 52.9 y) from 8 countries, nested within the European Prospective Investigation into Cancer and Nutrition study (mean follow-up time 6.9 y). Exploratory dietary patterns were derived by principal component analysis. HRs for incident type 2 diabetes were calculated by Prentice-weighted Cox proportional hazard regression models. Diabetes-associated dietary patterns were simplified or replicated to be applicable in other countries. A meta-analysis across all countries evaluated the generalizability of the diabetes-association. Results: Two dietary patterns per country/UK-center, of which overall 3 dietary patterns were diabetes-associated, were identified. A risk-lowering French dietary pattern was not confirmed across other countries: pooled HRFrance per 1 SD: 1.00; 95\% CI: 0.90, 1.10. Risk-increasing dietary patterns, derived in Spain and UK-Norfolk, were confirmed, but only the latter statistically significantly: HRSpain: 1.09; 95\% CI: 0.97, 1.22 and HRUK-Norfolk: 1.12; 95\% CI: 1.04, 1.20. Respectively, this dietary pattern was characterized by relatively high intakes of potatoes, processed meat, vegetable oils, sugar, cake and cookies, and tea. Conclusions: Only few country/center-specific dietary patterns (3 of 18) were statistically significantly associated with diabetes incidence in this multicountry European study population. One pattern, whose association with diabetes was confirmed across other countries, showed overlaps in the food groups potatoes and processed meat with identified diabetes-associated dietary patterns from other studies. The study demonstrates that replication of associations of exploratory patterns with health outcomes is feasible and a necessary step to overcome population-specificity in associations from such analyses.},
  language  = {en}
}
@article{WamburaDietrichLischeid2017,
  author    = {Wambura, Frank Joseph and Dietrich, Ottfried and Lischeid, Gunnar},
  title     = {Evaluation of Spatio-Temporal Patterns of Remotely Sensed Evapotranspiration to Infer Information about Hydrological Behaviour in a Data-Scarce Region},
  series = {Water},
  volume    = {9},
  journal   = {Water},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2073-4441},
  doi       = {10.3390/w9050333},
  pages     = {297 -- 315},
  year      = {2017},
  abstract  = {Information about the hydrological behaviour of a river basin prior to setting up, calibrating and validating a distributed hydrological model requires extensive datasets that are hardly available for many parts of the world due to insufficient monitoring networks. In this study, the focus was on prevailing spatio-temporal patterns of remotely sensed evapotranspiration (ET) that enabled conclusions to be drawn about the hydrological behaviour and spatial peculiarities of a river basin at rather high spatial resolution. The prevailing spatio-temporal patterns of ET were identified using a principal component analysis of a time series of 644 images of MODIS ET covering the Wami River basin (Tanzania) between the years 2000 and 2013. The time series of the loadings on the principal components were analysed for seasonality and significant long-term trends. The spatial patterns of principal component scores were tested for significant correlation with elevations and slopes, and for differences between different soil texture and land use classes. The results inferred that the temporal and spatial patterns of ET were related to those of preceding rainfalls. At the end of the dry season, high ET was maintained only in areas of shallow groundwater and in cloud forest nature reserves. A region of clear reduction of ET in the long-term was related to massive land use change. The results also confirmed that most soil texture and land use classes differed significantly. Moreover, ET was exceptionally high in natural forests and loam soil, and very low in bushland and sandy-loam soil. Clearly, this approach has shown great potential of publicly available remote sensing data in providing a sound basis for water resources management as well as for distributed hydrological models in data-scarce river basins at lower latitudes.},
  language  = {en}
}
@article{SchwahnNikoloski2018,
  author    = {Schwahn, Kevin and Nikoloski, Zoran},
  title     = {Data reduction approaches for dissecting transcriptional effects on metabolism},
  series = {Frontiers in plant science},
  volume    = {9},
  journal   = {Frontiers in plant science},
  publisher = {Frontiers Research Foundation},
  address   = {Lausanne},
  issn      = {1664-462X},
  doi       = {10.3389/fpls.2018.00538},
  pages     = {12},
  year      = {2018},
  abstract  = {The availability of high-throughput data from transcriptomics and metabolomics technologies provides the opportunity to characterize the transcriptional effects on metabolism. Here we propose and evaluate two computational approaches rooted in data reduction techniques to identify and categorize transcriptional effects on metabolism by combining data on gene expression and metabolite levels. The approaches determine the partial correlation between two metabolite data profiles upon control of given principal components extracted from transcriptomics data profiles. Therefore, they allow us to investigate both data types with all features simultaneously without doing preselection of genes. The proposed approaches allow us to categorize the relation between pairs of metabolites as being under transcriptional or post-transcriptional regulation. The resulting classification is compared to existing literature and accumulated evidence about regulatory mechanism of reactions and pathways in the cases of Escherichia coil, Saccharomycies cerevisiae, and Arabidopsis thaliana.},
  language  = {en}
}