Humboldt University of Berlin

About: Humboldt University of Berlin is a education organization based out in Berlin, Germany. It is known for research contribution in the topics: Population & Medicine. The organization has 33671 authors who have published 61781 publications receiving 1908102 citations. The organization is also known as: Humboldt-Universität zu Berlin & Universitas Humboldtiana Berolinensis.

WHO 2016 Classification of gliomas

Abstract: Gliomas are the most frequent intrinsic tumours of the central nervous system and encompass two principle subgroups: diffuse gliomas and gliomas showing a more circumscribed growth pattern ('nondiffuse gliomas'). In the revised fourth edition of the WHO Classification of CNS tumours published in 2016, classification of especially diffuse gliomas has fundamentally changed: for the first time, a large subset of these tumours is now defined based on presence/absence of IDH mutation and 1p/19q codeletion. Following this approach, the diagnosis of (anaplastic) oligoastrocytoma can be expected to largely disappear. Furthermore, in the WHO 2016 Classification gliomatosis cerebri is not an entity anymore but is now considered as a growth pattern. The most important changes in the very diverse group of 'nondiffuse' gliomas and neuronal-glial tumours are the introduction of anaplastic pleomorphic xanthoastrocytoma, of diffuse leptomeningeal glioneuronal tumour and of RELA fusion-positive ependymoma as entities. In the last part of this review, after very briefly touching upon classification of neuronal, choroid plexus and pineal region tumours, some practical implications and challenges associated with the WHO 2016 Classification of gliomas are discussed.

E-Privacy in 2nd Generation E-Commerce: Privacy Preferences versus Actual Behavior

Abstract: interactive, privacy is a matter of increasing concern. Many surveys have investigated households' privacy attitudes and concerns, revealing a general desire among Internet users to protect their privacy. To complement these questionnaire-based studies, we conducted an experiment in which we compared selfreported privacy preferences of 171 participants with their actual disclosing behavior during an online shopping episode. Our results suggest that current approaches to protect online users' privacy, such as EU data protection regulation or P3P, may face difficulties to do so effectively. This is due to their underlying assumption that people are not only privacy conscious, but will also act accordingly. In our study, most individuals stated that privacy was important to them, with concern centering on the disclosure of different aspects of personal information. However, regardless of their specific privacy concerns, most participants did not live up to their self-reported privacy preferences. As participants were drawn into the sales dialogue with an anthropomorphic 3-D shopping bot, they answered a majority of questions, even if these were highly personal. Moreover, different privacy statements had no effect on the amount of information disclosed; in fact, the mentioning of EU regulation seemed to cause a feeling of 'false security'. The results suggest that people appreciate highly communicative EC environments and forget privacy concerns once they are `inside the Web'.