@article{FischerKraus2020,
  author    = {Fischer, Caroline and Kraus, Sascha},
  title     = {Digitale Transparenz},
  series = {Handbuch Digitalisierung in Staat und Verwaltung},
  journal   = {Handbuch Digitalisierung in Staat und Verwaltung},
  publisher = {Springer},
  address   = {Wiesbaden},
  isbn      = {978-3-658-23667-0},
  doi       = {10.1007/978-3-658-23668-7},
  pages     = {159 -- 170},
  year      = {2020},
  abstract  = {Transparenz ist kein neuer Begriff, sondern im Zusammenhang mit Rechtsstaatlichkeit, Gewaltenteilung oder Demokratie schon lange Gegenstand politischer Theorie und Praxis. Transparenz bedeutet, dass Akteure, wie etwa Verwaltungsorganisationen, relevante Informationen {\"u}ber ihre Entscheidungsprozesse, Funktionsweisen und Performanz gegen{\"u}ber externen Akteuren offenlegen. F{\"u}r politische und Verwaltungsakteure gewinnt Transparenz im Zuge der Digitalisierung an zus{\"a}tzlicher Bedeutung. Moderne Informations- und Kommunikationstechnologien vereinfachen Transparenzschaffung, sowohl in der Geschwindigkeit als auch im Ressourceneinsatz. Sie k{\"o}nnen so zu neuen Formen und einer neuen Qualit{\"a}t von Transparenz in Politik und Verwaltung beitragen. Transparenz- und Datenportale oder B{\"u}rgerhaushalte sind digitale Instrumente, die diesem Zweck dienen sollen. Ob digitale Transparenz politische und administrative Prozesse tats{\"a}chlich effizienter, effektiver und durchsichtiger macht und B{\"u}rger*innen diese dadurch besser verstehen, ist jedoch eine offene Frage.},
  language  = {de}
}
@article{EsserFischerWyschkonetal.2007,
  author    = {Esser, G{\"u}nter and Fischer, Sascha and Wyschkon, Anne and Laucht, Manfred and Schmidt, Martin H.},
  title     = {Vorboten hyperkinetischer St{\"o}rungen : Fr{\"u}herkennung im Kleinkindalter},
  issn      = {1422-4917},
  doi       = {10.1024/1422-4917.35.2.127},
  year      = {2007},
  abstract  = {Objectives: The prospective longitudinal Mannheim Study of Children at Risk followed the development of children from the age of 2 years up to the age of 8 years. Are there differences between the developmental risk load in toddlers (psychopathology, cognition, motor or neurological development. and educational differences) who suffer from a hyperactive disorder at age 8 and that of undisturbed children of the same age? Are there specific harbingers of hyperkinetic disorders for the group concerned? Methods: In terms of their developmental risk load at the age of 2 years, 26 primary school children with hyperkinetic disorders were compared to 241 healthy primary school children, as well as to 25 children of the same age with emotional disturbances and 30 children of the same age with socially disruptive behavior. Results: A significant combination of predictors of later hyperkinetic disorders at primary school age proved to be increased fidgetiness and irritability, as well as a reduced language comprehension, at the age of two. Conclusions: The predictive value of symptoms in early childhood for later hyperkinetic disorder in children of primaryschool age is higher than that of symptoms assessed in infancy, which although expected is without relevant specificity.},
  language  = {de}
}
@article{EsserFischerWyschkonetal.2007,
  author    = {Esser, G{\"u}nter and Fischer, Sascha and Wyschkon, Anne and Laucht, Manfred and Schmidt, Martin H.},
  title     = {Vorboten hyperkinetischer St{\"o}rungen : Fr{\"u}herkennung bereits im S{\"a}uglingsalter m{\"o}glich?},
  issn      = {1422-4917},
  doi       = {10.1024/1422-4917.35.3.179},
  year      = {2007},
  abstract  = {Objectives: Are there any differences (organic, psychosocial, psychopathological, cognitive or educational, respectively differences in the motor or neurological development) between infants who later on at the age of 8 years suffer from a hyperactive disorder and those who later on at the same age are undisturbed? Are there specific harbingers for hyperactive disorders in the group concerned? Methods: With regard to their developmental risk load at the age of 3 months, 26 primary school children with hyperactive disorders were compared with 241 healthy children, 25 children with emotional disturbances, and 30 children with socially disruptive behaviour, all of the same age. Results: Identified as the most important predictors for the onset of hyperactive disorders were a reduced birth weight, the mother's origin from a shattered family, early contact impairments on the part of the child, and the mother's neglect of the infant. Conclusions: Altogether, however, the prediction of later hyperactivity in primary school children on the basis of salient features in the infant children remains unsatisfactory and unspecific.},
  language  = {de}
}
@article{NoonanTuckerFlemingetal.2018,
  author    = {Noonan, Michael J. and Tucker, Marlee A. and Fleming, Christen H. and Akre, Thomas S. and Alberts, Susan C. and Ali, Abdullahi H. and Altmann, Jeanne and Antunes, Pamela Castro and Belant, Jerrold L. and Beyer, Dean and Blaum, Niels and Boehning-Gaese, Katrin and Cullen Jr, Laury and de Paula, Rogerio Cunha and Dekker, Jasja and Drescher-Lehman, Jonathan and Farwig, Nina and Fichtel, Claudia and Fischer, Christina and Ford, Adam T. and Goheen, Jacob R. and Janssen, Rene and Jeltsch, Florian and Kauffman, Matthew and Kappeler, Peter M. and Koch, Flavia and LaPoint, Scott and Markham, A. Catherine and Medici, Emilia Patricia and Morato, Ronaldo G. and Nathan, Ran and Oliveira-Santos, Luiz Gustavo R. and Olson, Kirk A. and Patterson, Bruce D. and Paviolo, Agustin and Ramalho, Emiliano Estero and Rosner, Sascha and Schabo, Dana G. and Selva, Nuria and Sergiel, Agnieszka and da Silva, Marina Xavier and Spiegel, Orr and Thompson, Peter and Ullmann, Wiebke and Zieba, Filip and Zwijacz-Kozica, Tomasz and Fagan, William F. and Mueller, Thomas and Calabrese, Justin M.},
  title     = {A comprehensive analysis of autocorrelation and bias in home range estimation},
  series = {Ecological monographs : a publication of the Ecological Society of America.},
  volume    = {89},
  journal   = {Ecological monographs : a publication of the Ecological Society of America.},
  number    = {2},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {0012-9615},
  doi       = {10.1002/ecm.1344},
  pages     = {21},
  year      = {2018},
  abstract  = {Home range estimation is routine practice in ecological research. While advances in animal tracking technology have increased our capacity to collect data to support home range analysis, these same advances have also resulted in increasingly autocorrelated data. Consequently, the question of which home range estimator to use on modern, highly autocorrelated tracking data remains open. This question is particularly relevant given that most estimators assume independently sampled data. Here, we provide a comprehensive evaluation of the effects of autocorrelation on home range estimation. We base our study on an extensive data set of GPS locations from 369 individuals representing 27 species distributed across five continents. We first assemble a broad array of home range estimators, including Kernel Density Estimation (KDE) with four bandwidth optimizers (Gaussian reference function, autocorrelated-Gaussian reference function [AKDE], Silverman's rule of thumb, and least squares cross-validation), Minimum Convex Polygon, and Local Convex Hull methods. Notably, all of these estimators except AKDE assume independent and identically distributed (IID) data. We then employ half-sample cross-validation to objectively quantify estimator performance, and the recently introduced effective sample size for home range area estimation ( N̂ area ) to quantify the information content of each data set. We found that AKDE 95\% area estimates were larger than conventional IID-based estimates by a mean factor of 2. The median number of cross-validated locations included in the hold-out sets by AKDE 95\% (or 50\%) estimates was 95.3\% (or 50.1\%), confirming the larger AKDE ranges were appropriately selective at the specified quantile. Conversely, conventional estimates exhibited negative bias that increased with decreasing N̂ area. To contextualize our empirical results, we performed a detailed simulation study to tease apart how sampling frequency, sampling duration, and the focal animal's movement conspire to affect range estimates. Paralleling our empirical results, the simulation study demonstrated that AKDE was generally more accurate than conventional methods, particularly for small N̂ area. While 72\% of the 369 empirical data sets had >1,000 total observations, only 4\% had an N̂ area >1,000, where 30\% had an N̂ area <30. In this frequently encountered scenario of small N̂ area, AKDE was the only estimator capable of producing an accurate home range estimate on autocorrelated data.},
  language  = {en}
}
@article{UllbrichBenduhnJiaetal.2019,
  author    = {Ullbrich, Sascha and Benduhn, Johannes and Jia, Xiangkun and Nikolis, Vasileios C. and Tvingstedt, Kristofer and Piersimoni, Fortunato and Roland, Steffen and Liu, Yuan and Wu, Jinhan and Fischer, Axel and Neher, Dieter and Reineke, Sebastian and Spoltore, Donato and Vandewal, Koen},
  title     = {Emissive and charge-generating donor-acceptor interfaces for organic optoelectronics with low voltage losses},
  series = {Nature materials},
  volume    = {18},
  journal   = {Nature materials},
  number    = {5},
  publisher = {Nature Publ. Group},
  address   = {London},
  issn      = {1476-1122},
  doi       = {10.1038/s41563-019-0324-5},
  pages     = {459 -- 464},
  year      = {2019},
  abstract  = {Intermolecular charge-transfer states at the interface between electron donating (D) and accepting (A) materials are crucial for the operation of organic solar cells but can also be exploited for organic light-emitting diodes(1,2). Non-radiative charge-transfer state decay is dominant in state-of-the-art D-A-based organic solar cells and is responsible for large voltage losses and relatively low power-conversion efficiencies as well as electroluminescence external quantum yields in the 0.01-0.0001\% range(3,4). In contrast, the electroluminescence external quantum yield reaches up to 16\% in D-A-based organic light-emitting diodes(5-7). Here, we show that proper control of charge-transfer state properties allows simultaneous occurrence of a high photovoltaic and emission quantum yield within a single, visible-light-emitting D-A system. This leads to ultralow-emission turn-on voltages as well as significantly reduced voltage losses upon solar illumination. These results unify the description of the electro-optical properties of charge-transfer states in organic optoelectronic devices and foster the use of organic D-A blends in energy conversion applications involving visible and ultraviolet photons(8-11).},
  language  = {en}
}