Gemalte Normalität - gemalte Normen - gemalte Kultur: Was sagen Zeichnungen von Familien über familienbezogene Leitbilder aus?

Die hier dokumentierte Studie ist aus einem zu Lehrzwecken durchgeführten empirisch-methodischen Versuch heraus entstanden. Sie geht der Frage nach, inwieweit von Zeichnungen einer Familie, um die Probanden gebeten werden, auf die dahinterliegenden persönlichen oder kulturellen Leitbilder von Familie geschlossen werden kann und - falls dies zutrifft - was sich aus den 36 analysierten Zeichnungen konkret hinsichtlich der Familienleitbilder in Deutschland schließen lässt. Die Studie wurde 2013 im Rahmen eines Seminars an der Universität Mainz durchgeführt. Sie belegt, dass Zeichnungen sehr wohl ein wertvolles empirisches Material und ein methodischer Zugang zur Analyse von Familienleitbildern sein können. Allerdings sollte eine solche Analyse sich möglichst nicht auf eine reine Bildinterpretation stützen, sondern diese Interpretation durch nachträgliche auf die Zeichnung bezogene qualitative Interviews stützen. Das Leitbild der Familie in Deutschland erscheint im Lichte der Analysen stark auf die bürgerliche Kernfamilie fokussiert, bestehend aus einem verheirateten Paar aus Frau und Mann sowie etwa zwei minderjährigen Kindern, darunter ein Junge und ein Mädchen. Auch Großeltern und Haustiere sind zuweilen Teil der Vorstellung von Familie. Familienmitglieder halten eng zusammen und sind einander in Liebe verbunden. Familie bietet einen Schutzraum des Privaten gegen die Sorgen und Nöte, die in Beruf, Schule oder andernorts erfahren werden, und ermöglicht den Familienmitgliedern so Unbeschwertheit und glückliche gemeinsame Stunden. Familienleben findet zuhause im Eigenheim statt oder in der Natur - in jedem Fall an friedlichen und schönen Orten. Eine Vielfalt von Familienformen findet sich in den Familienleitbildern der Deutschen nur vereinzelt wieder.The study documented here is the result of an empirical-methodical experiment carried out for teaching purposes. It explores the extent to which drawings of a family, asked of study participants, can be used to draw conclusions regarding the underlying personal or cultural conceptions of family and - if this is the case - what can be concluded from the 36 drawings analysed with regard to family conceptions in Germany. The study was conducted in 2013 as part of a seminar at the University of Mainz. It proves that drawings can indeed be a valuable empirical material and a methodical approach to the analysis of family conceptions. However, such an analysis should not be based on a pure image interpretation alone, but ideally be supported by subsequent qualitative interviews related to the drawing. In the light of the analyses, the conception of family in Germany appears to be strongly focused on the middle-class nuclear family, consisting of a married couple of woman and man and about two minor children, including a boy and a girl. Grandparents and pets are also sometimes part of the association. Family members stick closely together and are united in love. Family offers a shelter of privacy from the worries and hardships experienced at work, school or elsewhere, allowing family members to enjoy carefree and happy hours together. Family life takes place at home in one‘s own home or in nature - in any case in peaceful and beautiful places. A variety of family forms can only be found sporadically in the family conceptions of the Germans

How a Diverse Research Ecosystem Has Generated New Rehabilitation Technologies: Review of NIDILRR’s Rehabilitation Engineering Research Centers

Over 50 million United States citizens (1 in 6 people in the US) have a developmental, acquired, or degenerative disability. The average US citizen can expect to live 20% of his or her life with a disability. Rehabilitation technologies play a major role in improving the quality of life for people with a disability, yet widespread and highly challenging needs remain. Within the US, a major effort aimed at the creation and evaluation of rehabilitation technology has been the Rehabilitation Engineering Research Centers (RERCs) sponsored by the National Institute on Disability, Independent Living, and Rehabilitation Research. As envisioned at their conception by a panel of the National Academy of Science in 1970, these centers were intended to take a “total approach to rehabilitation”, combining medicine, engineering, and related science, to improve the quality of life of individuals with a disability. Here, we review the scope, achievements, and ongoing projects of an unbiased sample of 19 currently active or recently terminated RERCs. Specifically, for each center, we briefly explain the needs it targets, summarize key historical advances, identify emerging innovations, and consider future directions. Our assessment from this review is that the RERC program indeed involves a multidisciplinary approach, with 36 professional fields involved, although 70% of research and development staff are in engineering fields, 23% in clinical fields, and only 7% in basic science fields; significantly, 11% of the professional staff have a disability related to their research. We observe that the RERC program has substantially diversified the scope of its work since the 1970’s, addressing more types of disabilities using more technologies, and, in particular, often now focusing on information technologies. RERC work also now often views users as integrated into an interdependent society through technologies that both people with and without disabilities co-use (such as the internet, wireless communication, and architecture). In addition, RERC research has evolved to view users as able at improving outcomes through learning, exercise, and plasticity (rather than being static), which can be optimally timed. We provide examples of rehabilitation technology innovation produced by the RERCs that illustrate this increasingly diversifying scope and evolving perspective. We conclude by discussing growth opportunities and possible future directions of the RERC program

Creative destruction in science

Drawing on the concept of a gale of creative destruction in a capitalistic economy, we argue that initiatives to assess the robustness of findings in the organizational literature should aim to simultaneously test competing ideas operating in the same theoretical space. In other words, replication efforts should seek not just to support or question the original findings, but also to replace them with revised, stronger theories with greater explanatory power. Achieving this will typically require adding new measures, conditions, and subject populations to research designs, in order to carry out conceptual tests of multiple theories in addition to directly replicating the original findings. To illustrate the value of the creative destruction approach for theory pruning in organizational scholarship, we describe recent replication initiatives re-examining culture and work morality, working parents\u2019 reasoning about day care options, and gender discrimination in hiring decisions. Significance statement It is becoming increasingly clear that many, if not most, published research findings across scientific fields are not readily replicable when the same method is repeated. Although extremely valuable, failed replications risk leaving a theoretical void\u2014 reducing confidence the original theoretical prediction is true, but not replacing it with positive evidence in favor of an alternative theory. We introduce the creative destruction approach to replication, which combines theory pruning methods from the field of management with emerging best practices from the open science movement, with the aim of making replications as generative as possible. In effect, we advocate for a Replication 2.0 movement in which the goal shifts from checking on the reliability of past findings to actively engaging in competitive theory testing and theory building. Scientific transparency statement The materials, code, and data for this article are posted publicly on the Open Science Framework, with links provided in the article

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species

Background Genome mining tools have enabled us to predict biosynthetic gene clusters that might encode compounds with valuable functions for industrial and medical applications. With the continuously increasing number of genomes sequenced, we are confronted with an overwhelming number of predicted clusters. In order to guide the effective prioritization of biosynthetic gene clusters towards finding the most promising compounds, knowledge about diversity, phylogenetic relationships and distribution patterns of biosynthetic gene clusters is necessary. Results Here, we provide a comprehensive analysis of the model actinobacterial genus Amycolatopsis and its potential for the production of secondary metabolites. A phylogenetic characterization, together with a pan-genome analysis showed that within this highly diverse genus, four major lineages could be distinguished which differed in their potential to produce secondary metabolites. Furthermore, we were able to distinguish gene cluster families whose distribution correlated with phylogeny, indicating that vertical gene transfer plays a major role in the evolution of secondary metabolite gene clusters. Still, the vast majority of the diverse biosynthetic gene clusters were derived from clusters unique to the genus, and also unique in comparison to a database of known compounds. Our study on the locations of biosynthetic gene clusters in the genomes of Amycolatopsis’ strains showed that clusters acquired by horizontal gene transfer tend to be incorporated into non-conserved regions of the genome thereby allowing us to distinguish core and hypervariable regions in Amycolatopsis genomes. Conclusions Using a comparative genomics approach, it was possible to determine the potential of the genus Amycolatopsis to produce a huge diversity of secondary metabolites. Furthermore, the analysis demonstrates that horizontal and vertical gene transfer play an important role in the acquisition and maintenance of valuable secondary metabolites. Our results cast light on the interconnections between secondary metabolite gene clusters and provide a way to prioritize biosynthetic pathways in the search and discovery of novel compounds

Why is the winner the best?

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to investigating what can be learnt from these competitions. Do they really generate scientific progress? What are common and successful participation strategies? What makes a solution superior to a competing method? To address this gap in the literature, we performed a multi-center study with all 80 competitions that were conducted in the scope of IEEE ISBI 2021 and MICCAI 2021. Statistical analyses performed based on comprehensive descriptions of the submitted algorithms linked to their rank as well as the underlying participation strategies revealed common characteristics of winning solutions. These typically include the use of multi-task learning (63%) and/or multi-stage pipelines (61%), and a focus on augmentation (100%), image preprocessing (97%), data curation (79%), and postprocessing (66%). The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning. Two core general development strategies stood out for highly-ranked teams: the reflection of the metrics in the method design and the focus on analyzing and handling failure cases. According to the organizers, 43% of the winning algorithms exceeded the state of the art but only 11% completely solved the respective domain problem. The insights of our study could help researchers (1) improve algorithm development strategies when approaching new problems, and (2) focus on open research questions revealed by this work