Beneficial effects of dark chocolate for episodic memory in healthy young adults: a parallel-groups acute intervention with a white chocolate control

There is good evidence that cocoa flavonoids can acutely improve cognitive function in humans, possibly via mechanisms such as increased cerebral blood flow. To date, much of the evidence is based on measures of executive function with extracts and cocoa-based interventions with a high flavonoid content. The aim of the present study was to explore whether benefits to episodic verbal memory and mood are observed two hours post consumption of a commercially available dark chocolate (DC) bar relative to a 35 g white chocolate bar (WC). Ninety-eight healthy young adults (n = 57 females) aged 18−24 years consumed either a 35 g DC bar or a calorie-matched low flavonoid WC bar. Verbal episodic memory and mood were assessed pre consumption and 2 h post consumption. An ANOVA analysis showed that the DC was associated with better verbal memory performance for several outcome measures of the Rey Auditory Verbal Learning Test relative to the WC, however, there were no effects on mood. These findings lend support to the notion that everyday available portions of dark chocolate can confer benefits to the brain in healthy consumers

Detection of KRAS Synthetic Lethal Partners through Integration of Existing RNAi Screens

KRAS is a gene that plays a very important role in the initiation and development of several types of cancer. In particular, 90% of human pancreatic cancers are due to KRAS mutations. KRAS is difficult to target directly and a promising therapeutic path is its indirect inactivation by targeting one of its Synthetic Lethal Partners (SLPs). A gene G is a Synthetic Lethal Partner of KRAS if the simultaneous perturbation of KRAS and G leads to cell death. In the past, efforts to identify KRAS SLPs with high-throughput RNAi screens have been performed. These studies have reported only few top-ranked SLPs. To our knowledge, these screens have never been considered in combination for further examination. This thesis employs integrative analysis of the published screens, utilizing additional, independent data aiming at the detection of more robust therapeutic targets. To this aim, RankSLP, a novel statistical analysis approach was implemented, which for the first time i) consistently integrates existing KRAS-specific RNAi screens, ii) consistently integrates and normalizes the results of various ranking methods, iii) evaluates its findings with the use of external data and iv) explores the effects of random data inclusion. This analysis was able to predict novel SLPs of KRAS and confirm some of the existing ones

The Development of eServices in an Enlarged EU:eGovernment and eHealth in Cyprus

In 2005, IPTS launched a project which aimed to assess the developments in eGoverment, eHealth and eLearning in the 10 New Member States at national, and at cross-country level. At that time, the 10 New Member States were Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, and Slovakia. A report for each country was produced, describing its government and health systems and the role played by eGovernment and eHealth within these systems. Each report then analyzes, on the basis of desk research and expert interviews, the major achievements, shortcomings, drivers and barriers in the development of eGovernment and eHealth in one of the countries in question. This analysis provides the basis for the identification and discussion of national policy options to address the major challenges and to suggest R&D issues relevant to the needs of each country, in this case, Cyprus. In addition to national monographs, the project has delivered a synthesis report, which offers an integrated view of the developments of each application domain in the New Member States. Furthermore, a prospective report looking across and beyond the development of the eGoverment, eHealth and eLearning areas has been developed to summarize policy challenges and options for the development of eServices and the Information Society towards the goals of Lisbon and i2010.JRC.J.4-Information Societ

RELATIONSHIP OF MOTOR DEVELOPMENT TO ADAPTIVE BEHAVIOR OF CHILDREN AND ADOLESCENTS WITH VISUAL IMPAIRMENT

The aim of the study was to evaluate motor development and adaptive behavior of visually impaired children and adolescents without the simultaneous existence of impairment, aged 6-14 years old. Thirty-seven (37) children and adolescents with visual impairment and thirty seven (37) children and adolescents without visual impairment took part in the study. Children and adolescents with visual impairment attended the Special Education Primary Schools for the Blind at four of the biggest cities in Greece. The Bruininks-Oseretsky Test of Motor Proficiency (BOT-2) (Bruininks & Bruininks, 2005) was used to evaluate motor development of the participants. Also, the Teacher Rating Scale (Vineland Adaptive Behavior Scales, Second Edition Sparrow, Balla and Cicchetti, 2005) was used to evaluate adaptive behavior. For the statistical analysis of the data the SPSS version 20.0 statistical package was used. The results of the research revealed that the performance of visually impaired children and adolescents in terms of their motor development and adaptive behavior was lower than that of their peers. At the same time, a convergence was found between the variables motor development and adaptive behavior of children and adolescents with visual impairment. The findings of this research are expected to contribute to a smoother school and social adaptation of visually impaired children and adolescents.  Article visualizations

Democracy Under Attack: Challenges of Addressing Ethical Issues of AI and Big Data for More Democratic Digital Media and Societies

The potency and potential of digital media to contribute to democracy has recently come under intense scrutiny. In the context of rising populism, extremism, digital surveillance and manipulation of data, there has been a shift towards more critical approaches to digital media including its producers and consumers. This shift, concomitant with calls for a path toward digital well-being, warrants a closer investigation into the study of the ethical issues arising from Artificial Intelligence (AI) and Big Data. The use of Big Data and AI in digital media are often incongruent with fundamental democratic principles and human rights. The dominant paradigm is one of covert exploitation, erosion of individual agency and autonomy, and a sheer lack of transparency and accountability, reminiscent of authoritarian dynamics rather than of a digital well-being with equal and active participation of informed citizens. Our paper contributes to the promising research landscape that seeks to address these ethical issues by providing an in-depth analysis of the challenges that stakeholders are faced with when attempts are made to mitigate the negative implications of Big Data and AI. Rich empirical evidence collected from six focus groups, across Europe, with key stakeholders in the area of shaping ethical dimensions of technology, provide useful insights into elucidating the multifaceted dilemmas, tensions and obstacles that stakeholders are confronted with when being tasked to address ethical issues of digital media, with a focus on AI and Big Data. Identifying, discussing and explicating these challenges is a crucial and necessary step if researchers and policymakers are to envisage and design ways and policies to overcome them. Our findings enrich the academic discourse and are useful for practitioners engaging in the pursuit of responsible innovation that protects the well-being of its users while defending the democratic foundations which are at stake

Architecture Competition for the Designing of Student Dormitories for the Cyprus University of Technology (CUT),

MencióPostprint (author's final draft

The Development of eHealth in an Enlarged EU: Synthesis Report

In 2005, IPTS launched a project which aimed to assess the developments in eGoverment, eHealth and eLearning in the 10 New Member States at national, and cross-country level. At that time, the 10 New Member States were Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovenia and Slovakia. A report for each country was produced, describing its government and health systems and the role played by eGovernment and eHealth within these systems. Each report then analyzes, on the basis of desk research and expert interviews, the major achievements, shortcomings, drivers and barriers in the development of eGovernment and eHealth in one of the countries in question. This analysis provides the basis for the identification and discussion of national policy options to address the major challenges and to suggest R&D issues relevant to the needs of each country. In addition to national monographs, the project has delivered three synthesis reports, which offers an integrated view of the developments of each application domain in the New Member States. This report gives a comparative assessment of eHealth policies and institutions, problems and achievements with eHealth in the EU10. It also shows the examples of best practices with in eHealth developments, analyses the possible policy options at local, regional, national and European levels and highlights the most important future technical and non-technical R&D challenges specific to eHealth. Furthermore, a prospective report looking across and beyond the development of the eGoverment, eHealth and eLearning areas has been developed to summarize policy challenges and options for the development of eServices and the Information Society towards the goals of Lisbon and i2010.JRC.J.4-Information Societ

BrainNetVis: An Open-Access Tool to Effectively Quantify and Visualize Brain Networks

This paper presents BrainNetVis, a tool which serves brain network modelling and visualization, by providing both quantitative and qualitative network measures of brain interconnectivity. It emphasizes the needs that led to the creation of this tool by presenting similar works in the field and by describing how our tool contributes to the existing scenery. It also describes the methods used for the calculation of the graph metrics (global network metrics and vertex metrics), which carry the brain network information. To make the methods clear and understandable, we use an exemplar dataset throughout the paper, on which the calculations and the visualizations are performed. This dataset consists of an alcoholic and a control group of subjects