One size fits all? Managing trust and privacy on social networking sites in Russia and Germany

When it comes to platform sustainability, mitigating user privacy concerns and enhancing trust represent two major tasks providers of Social Networking Sites (SNSs) are facing today. State-of-the-art research advocates reliance on the justice-based measures as possible means to address these challenges. However, as providers are increasingly expanding into foreign markets, the effectiveness of these measures in a cross-cultural setting is questioned. In an attempt to address this set of issues, in this study we build on the existing model to examine the impact of culture on the robustness of four justice-based means in mitigating privacy concerns and ensuring trust. Survey responses from German and Russian SNS members are used to evaluate the two structural equation models, which are then compared. We find that perceptions regarding Procedural and Informational Justice are universally important and hence should be addressed as part of the basic strategy by the SNS provider. When expanding to collectivistic countries like Russia, measures enhancing perceptions of Distributive and Interpersonal Justice can be additionally applied. Beyond practical implications, our study makes a significant contribution to the theoretical discourse on the role of culture in determining individual perceptions and behavior.

It’s all about networking! Empirical investigation of social capital formation on social network sites

As Social Network Sites (SNS) permeate our daily routines, the question whether participation results in value for SNS users becomes particularly acute. This study adopts a 'participation-source-outcome' perspective to explore how distinct uses of SNS generate various types of social capital benefits. Building on existing research, extensive qualitative findings and an empirical study with 253 Facebook users, we uncover the process of social capital formation on SNS. We find that even though active communication is an important prerequisite, it is the diversified network structure and the increased social connectedness that are responsible for the attainment of the four benefits of social capital on SNS: emotional support, networking value, horizon broadening and offline participation. Moreover, we propose and validate scales to measure social capital benefits in the novel context of SNS.

Multiprofessional collaboration in teaching practices in all-day-schools in Switzerland

Multiprofessional collaboration in settings of extended education has been an important research topic in the past 40 years and has been discussed as a means to improve educational achievement, foster professional development, and support teachers in their everyday work. Several recent studies in multiprofessional settings found that collaboration practices often remain on a student-centered, time-limited, and superficial level of exchange, whereas higher forms of collaboration are very rare (Dizinger, Fussangel, Kasper, 2011). Furthermore there exists an obvious research gap on collaboration in Swiss all-day schools (Jutzi&Thomann, 2012). In this study we analyzed practices of multiprofessional collaboration in school-based and community-based extracurricular activities of all-day schools in Switzerland. The aim of this qualitative study of 10 all-day schools was to answer the following questions: (a) What forms of collaboration (informal/formal) are used between the different professionals? and (b) Are there different types of all-day schools with regard to distinctive and consistent types of collaboration? We conducted 18 problem-centered interviews (with the principals/heads of the all-day schools) and 10 focus group discussions (teams). In the process of data evaluation, we applied the method of qualitative content analysis. The results show that multiprofessional collabo ration is taking place in all of the all-day schools examined in the study. However, the collaborative practices differ in their level of intensity, design, and purpose.

Conditions promoting good multiprofessional collaboration practices in Swiss all-day schools

Multiprofessional collaboration in all-day schools refers to teamwork and coordination that takes place between professionals with different vocational backgrounds. In Switzerland, all-day schoolscomprise regular school instruction and school-based extracurricular activities. Nevertheless, multiprofessional collaboration can also refer to collaboration between education professionals in all-day schools and professionals outside the school in a community-based setting of extracurricular activities. A synthesis of the literature shows that collaboration inside and outside the school setting is promoted by conditions in three areas: structural characteristics of the institution, characteristics of the team, and interpersonal processes (Schüpbach, Jutzi & Thomann 2012). In view of these findings, it was the aim of this study to analyze conditions of good collaboration practices in all-day schools in Switzerland. This qualitative study examined 10 all-day schools in five different cantons in the German-speaking part of Switzerland that showed good collaboration practice. In the course of this study, we conducted 18 problem-centered interviews and 10 focus group discussions. In the process of data evaluation, we applied the method of qualitative content analy sis. The findings show that all of the three areas of conditions promoting good collaboration proved to be relevant in the whole sample of all-day schools. Nevertheless, for the three different types of collaboration found? The school- oriented, the mixed/in termediate, and the social environment-oriented type? We identified different conditions of good collaboration practice.

Computer assisted planning and navigation of periacetabular osteotomy with range of motion optimization

Femoroacetabular impingement (FAI) before or after Periacetabular Osteotomy (PAO) is surprisingly frequent and surgeons need to be aware of the risk preoperatively and be able to avoid it intraoperatively. In this paper we present a novel computer assisted planning and navigation system for PAO with impingement analysis and range of motion (ROM) optimization. Our system starts with a fully automatic detection of the acetabular rim, which allows for quantifying the acetabular morphology with parameters such as acetabular version, inclination and femoral head coverage ratio for a computer assisted diagnosis and planning. The planned situation was optimized with impingement simulation by balancing acetabuar coverage with ROM. Intra-operatively navigation was conducted until the optimized planning situation was achieved. Our experimental results demonstrated: 1) The fully automated acetabular rim detection was validated with accuracy 1.1 ± 0.7mm; 2) The optimized PAO planning improved ROM significantly compared to that without ROM optimization; 3) By comparing the pre-operatively planned situation and the intra-operatively achieved situation, sub-degree accuracy was achieved for all directions.

Lessons in Software Evolution Learned by Listening to Smalltalk

The biggest challenge facing software developers today is how to gracefully evolve complex software systems in the face of changing requirements. We clearly need software systems to be more dynamic, compositional and model-centric, but instead we continue to build systems that are static, baroque and inflexible. How can we better build change-enabled systems in the future? To answer this question, we propose to look back to one of the most successful systems to support change, namely Smalltalk. We briefly introduce Smalltalk with a few simple examples, and draw some lessons for software evolution. Smalltalk's simplicity, its reflective design, and its highly dynamic nature all go a long way towards enabling change in Smalltalk applications. We then illustrate how these lessons work in practice by reviewing a number of research projects that support software evolution by exploiting Smalltalk's design. We conclude by summarizing open issues and challenges for change-enabled systems of the future.

Simultaneous Multiscale Polyaffine Registration by Incorporating Deformation Statistics

Locally affine (polyaffine) image registration methods capture intersubject non-linear deformations with a low number of parameters, while providing an intuitive interpretation for clinicians. Considering the mandible bone, anatomical shape differences can be found at different scales, e.g. left or right side, teeth, etc. Classically, sequential coarse to fine registration are used to handle multiscale deformations, instead we propose a simultaneous optimization of all scales. To avoid local minima we incorporate a prior on the polyaffine transformations. This kind of groupwise registration approach is natural in a polyaffine context, if we assume one configuration of regions that describes an entire group of images, with varying transformations for each region. In this paper, we reformulate polyaffine deformations in a generative statistical model, which enables us to incorporate deformation statistics as a prior in a Bayesian setting. We find optimal transformations by optimizing the maximum a posteriori probability. We assume that the polyaffine transformations follow a normal distribution with mean and concentration matrix. Parameters of the prior are estimated from an initial coarse to fine registration. Knowing the region structure, we develop a blockwise pseudoinverse to obtain the concentration matrix. To our knowledge, we are the first to introduce simultaneous multiscale optimization through groupwise polyaffine registration. We show results on 42 mandible CT images.

Pathology hinting as the combination of automatic segmentation with a statistical shape model

With improvements in acquisition speed and quality, the amount of medical image data to be screened by clinicians is starting to become challenging in the daily clinical practice. To quickly visualize and find abnormalities in medical images, we propose a new method combining segmentation algorithms with statistical shape models. A statistical shape model built from a healthy population will have a close fit in healthy regions. The model will however not fit to morphological abnormalities often present in the areas of pathologies. Using the residual fitting error of the statistical shape model, pathologies can be visualized very quickly. This idea is applied to finding drusen in the retinal pigment epithelium (RPE) of optical coherence tomography (OCT) volumes. A segmentation technique able to accurately segment drusen in patients with age-related macular degeneration (AMD) is applied. The segmentation is then analyzed with a statistical shape model to visualize potentially pathological areas. An extensive evaluation is performed to validate the segmentation algorithm, as well as the quality and sensitivity of the hinting system. Most of the drusen with a height of 85.5 microm were detected, and all drusen at least 93.6 microm high were detected.

Experimental Comparison of Bluetooth and WiFi Signal Propagation for Indoor Localisation

Systems for indoor positioning using radio technologies are largely studied due to their convenience and the market opportunities they offer. The positioning algorithms typically derive geographic coordinates from observed radio signals and hence good understanding of the indoor radio channel is required. In this paper we investigate several factors that affect signal propagation indoors for both Bluetooth and WiFi. Our goal is to investigate which factors can be disregarded and which should be considered in the development of a positioning algorithm. Our results show that technical factors such as device characteristics have smaller impact on the signal than multipath propagation. Moreover, we show that propagation conditions differ in each direction. We also noticed that WiFi and Bluetooth, despite operating in the same radio band, do not at all times exhibit the same behaviour.

All platelets are not equal: COAT platelets

Collagen- and thrombin-activated (COAT) platelets were first described in 2000 and have attracted considerable interest, changing the interpretation of the way in which platelets contribute to thrombin generation and how their procoagulant activity is organized. Platelets activated by two agonists coming from glycoprotein VI or Fc gamma-receptor IIA agonists on the one hand and thrombin on the other produce a population of approximately 50% highly procoagulant active platelets. This subgroup is formed by tissue transglutaminase and factor XIIIa linking of serotonin to the procoagulant proteins from granules or plasma, and these serotonylated proteins bind to fibrinogen or thrombospondin on the platelet surface. Serotonylation in the platelet cytoplasm has recently been shown to be an important regulating mechanism governing the activation of small GTPases and their function in granule release. Recent studies with Tph-/- mice in which the peripheral serotonin, including that in platelets, is very strongly reduced, have shown a prolonged bleeding time, suggesting it has an important hemostatic role in the release of platelet von Willebrand factor. More knowledge about how COAT platelets are formed will be important for a better understanding of the physiology and pathology of hemostasis.

Dynamic Languages and Applications. Report on the Workshop Dyla 07 at ECOOP 2007

Following last two years’ workshop on dynamic languages at the ECOOP conference, the Dyla 2007 workshop was a successful and popular event. As its name implies, the workshop’s focus was on dynamic languages and their applications. Topics and discussions at the workshop included macro expansion mechanisms, extension of the method lookup algorithm, language interpretation, reflexivity and languages for mobile ad hoc networks. The main goal of this workshop was to bring together different dynamic language communities and favouring cross communities interaction. Dyla 2007 was organised as a full day meeting, partly devoted to presentation of submitted position papers and partly devoted to tool demonstration. All accepted papers can be downloaded from the workshop’s web site. In this report, we provide an overview of the presentations and a summary of discussions.