Cultural Heritage Online? Settle It in the Country of Origin of the Work

This article examines the conditions under which a system of extended collective licensing (ECL) for the use of works contained in the collections of cultural heritage institutions (CHIs) participating in Europeana could function within a cross-border basis. ECL is understood as a form of collective rights management whereby the application of freely negotiated copyright licensing agreements between a user and a collective management organisation (“CMO”), is extended by law to non-members of the organisation. ECL regimes have already been put in place in a few Member States and so far, all have the ability to apply only on a national basis. This article proposes a mechanism that would allow works licensed under an ECL system in one territory of the European Union to be made available in all the territories of the Union. The proposal rests on the statutory recognition of the “country of origin” principle, as necessary and sufficient territory for the negotiation and application of an ECL solution for the rights clearance of works contained in the collection of a cultural heritage institution, including orphan works.

Gender and language in online job advertisements - a cross-cultural study

The aim of this project is to investigate the use of gender-fair language from a cross-linguistic perspective. Specifically, we are interested in whether the use of gender-fair language correlates with socio-economic rankings of gender equality and with structural features of a language. We decided to analyze online job advertisements, as they reflect common language use and can easily be compared across languages. Moreover, formulations in job advertisements have been shown to impact personnel selection via the way target groups are addressed and referred to. In the present study we examined to what extent job advertisements are formulated in a gender-fair way and how this correlates with factors such as language, culture as well as status and gender-typicality of the job advertised. The data consisted of job advertisements published online in four European countries which occupy different positions in socio-economic rankings of gender equality (World Economic Forum, 2011): Switzerland (10), Austria (rank 34), Poland (42), and Czech Republic (75). We randomly selected 100 job advertisements from four lines of business characterized by different proportions of female employees – steels/metals, science, restaurants/food services, and health care. The advertisements were analyzed with regard to the linguistic form of the job title and the remaining text; we also noted indicators of job status, reference to gender-typical traits, pictures of women/men and other information which might be relevant to the use of gender-fair language (e.g., equal opportunity policies). A first analysis of the data indicates that the phrasing of job titles is closely related to the gender-typicality of a profession. While mainly gender-fair forms are used in healthcare, masculine forms are used more often in the domain of steels and metals. Feminine forms only, however, are almost never used. Cultural differences as well as correlations with associated variables will be discussed.

Investigating the value of privacy on online social networks: conjoint analysis

Popularity of Online Social Networks has been recently overshadowed by the privacy problems they pose. Users are getting increasingly vigilant concerning information they disclose and are strongly opposing the use of their information for commercial purposes. Nevertheless, as long as the network is offered to users for free, providers have little choice but to generate revenue through personalized advertising to remain financially viable. Our study empirically investigates the ways out of this deadlock. Using conjoint analysis we find that privacy is indeed important for users. We identify three groups of users with different utility patterns: Unconcerned Socializers, Control-conscious Socializers and Privacy-concerned. Our results provide relevant insights into how network providers can capitalize on different user preferences by specifically addressing the needs of distinct groups in the form of various premium accounts. Overall, our study is the first attempt to assess the value of privacy in monetary terms in this context.

Use of an Online Photo Management and Sharing Application to Create a Searchable Digital Dental Radiograph Repository

Problem: Dental radiographs generally display one or more findings/diagnoses, and are linked to a unique set of patient demographics, medical history and other findings not represented by the image. However, this information is not associated with radiographs in any type of meta format, and images are not searchable based on any clinical criteria (1,2). The purpose of this pilot study is to create an online, searchable data repository of dental radiographs to be used for patient care, teaching and research. [See PDF for complete abstract]

Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set

Stepwise uncertainty reduction (SUR) strategies aim at constructing a sequence of points for evaluating a function  f in such a way that the residual uncertainty about a quantity of interest progressively decreases to zero. Using such strategies in the framework of Gaussian process modeling has been shown to be efficient for estimating the volume of excursion of f above a fixed threshold. However, SUR strategies remain cumbersome to use in practice because of their high computational complexity, and the fact that they deliver a single point at each iteration. In this article we introduce several multipoint sampling criteria, allowing the selection of batches of points at which f can be evaluated in parallel. Such criteria are of particular interest when f is costly to evaluate and several CPUs are simultaneously available. We also manage to drastically reduce the computational cost of these strategies through the use of closed form formulas. We illustrate their performances in various numerical experiments, including a nuclear safety test case. Basic notions about kriging, auxiliary problems, complexity calculations, R code, and data are available online as supplementary materials.

Gender Differences in Online Dating: What Do We Know So Far? A Systematic Literature Review

With millions of users worldwide, online dating platforms strive to assert themselves as powerful tools to find dates and form romantic relationships. However, significant differences exist in male and female use of this mate-matching technology with respect to motivation, preferences, self-presentation, interaction and outcomes. While existing research has routinely reported on gender differences in online dating, these insights remain scattered across multiple studies. To gain a systematic insight into existing findings, in this study we conduct a meta-review of existing research. We find that evolutionary theory generally holds true in online dating: Users still follow natural stereotypes when it comes to choosing a mate online. Physical attractiveness is the key criteria for men; while women, being much more demanding, prioritize socio-economic attributes when choosing a male partner. Together, our structured findings offer a deeper insight into the underlying dynamics of gender differences in online dating.

Integration of different models in the design of chemical processes: Application to the design of a power plant

With advances in the synthesis and design of chemical processes there is an increasing need for more complex mathematical models with which to screen the alternatives that constitute accurate and reliable process models. Despite the wide availability of sophisticated tools for simulation, optimization and synthesis of chemical processes, the user is frequently interested in using the ‘best available model’. However, in practice, these models are usually little more than a black box with a rigid input–output structure. In this paper we propose to tackle all these models using generalized disjunctive programming to capture the numerical characteristics of each model (in equation form, modular, noisy, etc.) and to deal with each of them according to their individual characteristics. The result is a hybrid modular–equation based approach that allows synthesizing complex processes using different models in a robust and reliable way. The capabilities of the proposed approach are discussed with a case study: the design of a utility system power plant that has been decomposed into its constitutive elements, each treated differently numerically. And finally, numerical results and conclusions are presented.