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Recently, there has been an upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer (NST). However, the state of performance evaluation in this field is poor, especially compared to the norms in the computer vision and machine learning communities. Unfortunately, the task of evaluating image stylisation is thus far not well defined, since it involves subjective, perceptual, and aesthetic aspects. To make progress towards a solution, this paper proposes a new structured, three-level, benchmark dataset for the evaluation of stylised portrait images. Rigorous criteria were used for its construction, and its consistency was validated by user studies. Moreover, a new methodology has been developed for evaluating portrait stylisation algorithms, which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the faces. We perform evaluation for a wide variety of image stylisation methods (both portrait-specific and general purpose, and also both traditional NPR approaches and NST) using the new benchmark dataset.
The starting point of this contribution is the potential risk to health and performance from the combination of elite sporting careers with the pursuit of education. In European sport science and politics, structural measures to promote dual careers in elite sports have been discussed increasingly of late. In addition to organisational measures, there are calls for educational-psychological intervention programmes supporting the successful management of dual careers at the individual level. This paper presents an appropriate intervention programme and its evaluation: stress-resistance training for elite athletes (SRT-EA). It comprises 10 units, each lasting 90 minutes. It is intended for athletes and aims to improve their resistance to chronic stress. The evaluation was carried out in a quasi-experimental design, with three points of measurement (baseline, immediately after, and three months after) and two non-randomised groups: an intervention group (n=128) and an untreated control group (n=117). Participants were between 13 and 20 years of age (53.5% male) and represented various Olympic sports. Outcome variables were assessed with questionnaires. Significant short- and mid-term intervention effects were explored. The intervention increased stress-related knowledge, general self-efficacy, and stress sensitivity. Chronic stress level, stress symptoms, and stress reactivity were reduced. In line with the intention of the intervention, the results showed short- and mid-term, small to medium-sized effects. Accordingly, separate measurements at the end of the intervention and three months later showed mostly positive subjective experiences. Thus, the results reinforce the hope that educational-psychological stress-management interventions can support dual careers.
The starting point of this contribution is the potential risk to health and performance from the combination of elite sporting careers with the pursuit of education. In European sport science and politics, structural measures to promote dual careers in elite sports have been discussed increasingly of late. In addition to organisational measures, there are calls for educational-psychological intervention programmes supporting the successful management of dual careers at the individual level. This paper presents an appropriate intervention programme and its evaluation: stress-resistance training for elite athletes (SRT-EA). It comprises 10 units, each lasting 90 minutes. It is intended for athletes and aims to improve their resistance to chronic stress. The evaluation was carried out in a quasi-experimental design, with three points of measurement (baseline, immediately after, and three months after) and two non-randomised groups: an intervention group (n = 128) and an untreated control group (n = 117). Participants were between 13 and 20 years of age (53.5% male) and represented
various Olympic sports. Outcome variables were assessed with questionnaires. Significant short- and mid-term intervention effects were explored. The intervention increased stress-related knowledge, general self-efficacy, and stress sensitivity. Chronic stress level, stress symptoms, and stress reactivity were reduced. In line with the intention of the intervention, the results showed short- and mid-term, small to medium-sized effects. Accordingly, separate measurements at the end of the intervention and three months later showed mostly positive subjective experiences. Thus, the results reinforce the hope that educational-psychological stress-management interventions can support dual careers.
Wandlungsfähigkeit beschreibt die Fähigkeit eines Systems, proaktiv oder reaktiv Maßnahmen für die Modifikation seiner Eigenschaften schnell und effizient zu entwickeln, umzusetzen und anzuwenden sowie sich proaktiv darauf vorzubereiten, inaktiv zu sein und passiv Einwirkungen aus der Umwelt zu tolerieren. Die Eigenschaften wandlungsfähiger Systeme werden häufig als Indikatoren (z.B. Modularität, Wissen) verwendet. Dabei existiert eine Vielzahl potenzieller Indikatoren, deren jeweilige Relevanz jedoch ungeklärt ist. Hier setzt die Zielstellung der vorliegenden Arbeit an. Das Erkenntnisziel ist die Erklärung der Wandlungsfähigkeit sozio-technischer Systeme. Zu diesem Zweck wird ein Erklärungsmodell der indikatorbasierten Wandlungsfähigkeit erstellt, das zum Nachweis von Wandlungsfähigkeit, zur Bewertung dieser sowie zur Systemanalyse genutzt werden kann. Weiterhin wird exemplarisch eine positive Korrelation von Wandlungsfähigkeit und Schnelligkeit sowie Effizienz bei Veränderungsprojekten nachgewiesen.
In light of the debate on the consequences of competitive contracting out of traditionally public services, this research compares two mechanisms used to allocate funds in development cooperation—direct awarding and competitive contracting out—aiming to identify their potential advantages and disadvantages.
The agency theory is applied within the framework of rational-choice institutionalism to study the institutional arrangements that surround two different money allocation mechanisms, identify the incentives they create for the behavior of individual actors in the field, and examine how these then transfer into measurable differences in managerial quality of development aid projects. In this work, project management quality is seen as an important determinant of the overall project success.
For data-gathering purposes, the German development agency, the Gesellschaft für Internationale Zusammenarbeit (GIZ), is used due to its unique way of work. Whereas the majority of projects receive funds via direct-award mechanism, there is a commercial department, GIZ International Services (GIZ IS) that has to compete for project funds.
The data concerning project management practices on the GIZ and GIZ IS projects was gathered via a web-based, self-administered survey of project team leaders. Principal component analysis was applied to reduce the dimensionality of the independent variable to total of five components of project management. Furthermore, multiple regression analysis identified the differences between the separate components on these two project types. Enriched by qualitative data gathered via interviews, this thesis offers insights into everyday managerial practices in development cooperation and identifies the advantages and disadvantages of the two allocation mechanisms.
The thesis first reiterates the responsibility of donors and implementers for overall aid effectiveness. It shows that the mechanism of competitive contracting out leads to better oversight and control of implementers, fosters deeper cooperation between the implementers and beneficiaries, and has a potential to strengthen ownership of recipient countries. On the other hand, it shows that the evaluation quality does not tremendously benefit from the competitive allocation mechanism and that the quality of the component knowledge management and learning is better when direct-award mechanisms are used. This raises questions about the lacking possibilities of actors in the field to learn about past mistakes and incorporate the finings into the future interventions, which is one of the fundamental issues of aid effectiveness. Finally, the findings show immense deficiencies in regard to oversight and control of individual projects in German development cooperation.
In recent years, named entity linking (NEL) tools were primarily developed in terms of a general approach, whereas today numerous tools are focusing on specific domains such as e.g. the mapping of persons and organizations only, or the annotation of locations or events in microposts. However, the available benchmark datasets necessary for the evaluation of NEL tools do not reflect this focalizing trend. We have analyzed the evaluation process applied in the NEL benchmarking framework GERBIL [in: Proceedings of the 24th International Conference on World Wide Web (WWW’15), International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 2015, pp. 1133–1143, Semantic Web 9(5) (2018), 605–625] and all its benchmark datasets. Based on these insights we have extended the GERBIL framework to enable a more fine grained evaluation and in depth analysis of the available benchmark datasets with respect to different emphases. This paper presents the implementation of an adaptive filter for arbitrary entities and customized benchmark creation as well as the automated determination of typical NEL benchmark dataset properties, such as the extent of content-related ambiguity and diversity. These properties are integrated on different levels, which also enables to tailor customized new datasets out of the existing ones by remixing documents based on desired emphases. Besides a new system library to enrich provided NIF [in: International Semantic Web Conference (ISWC’13), Lecture Notes in Computer Science, Vol. 8219, Springer, Berlin, Heidelberg, 2013, pp. 98–113] datasets with statistical information, best practices for dataset remixing are presented, and an in depth analysis of the performance of entity linking systems on special focus datasets is presented.
In den letzten 20 Jahren sind Evaluationen Schritt für Schritt zu einem festen und gleichzeitig kontrovers diskutierten Bestandteil politischer Förderung geworden. Auf der Basis langjähriger Beobachtungen der Evaluationspraxis des Förderprogramms „Soziale Stadt“ zeigt dieses Buch zunächst, dass Evaluationstätigkeiten in Ministerien, Kommunalverwaltungen und Planungsbüros mit ganz unterschiedlichen Erwartungen, Herausforderungen, Widersprüchen und Irritationen verknüpft werden. Evaluationen werden dabei sowohl als Hoffnungsträger, als auch als Schreckgespenst gesehen. Der Autor nimmt diese Beobachtungen zum Anlass, den Umgang mit Evaluationen in politischen Organisationen kritisch zu hinterfragen und systematisch zu erklären. Reduziert auf die Frage „Wozu Evaluation?“ wird auf der Basis eines systemtheoretischen Zugangs erklärt, welche unterschiedlichen Funktionen Evaluationen in Organisationen erfüllen können. Vertiefend wird dabei auf organisationales Lernen, auf politische Steuerungslogik und auf die Notwendigkeit von Symbolisierungen eingegangen.
Process-based integrated assessment models (IAMs) project long-term transformation pathways in energy and land-use systems under what-if assumptions. IAM evaluation is necessary to improve the models’ usefulness as scientific tools applicable in the complex and contested domain of climate change mitigation. We contribute the first comprehensive synthesis of process-based IAM evaluation research, drawing on a wide range of examples across six different evaluation methods including historical simulations, stylised facts, and model diagnostics. For each evaluation method, we identify progress and milestones to date, and draw out lessons learnt as well as challenges remaining. We find that each evaluation method has distinctive strengths, as well as constraints on its application. We use these insights to propose a systematic evaluation framework combining multiple methods to establish the appropriateness, interpretability, credibility, and relevance of process-based IAMs as useful scientific tools for informing climate policy. We also set out a programme of evaluation research to be mainstreamed both within and outside the IAM community.