The mediating effect of gaming motivation between psychiatric symptoms and problematic online gaming: an online survey

Background: The rapid expansion of online video gaming as a leisure time activity has led to the appearance of problematic online gaming (POG). According to the literature, POG is associated with different psychiatric symptoms (eg, depression, anxiety) and with specific gaming motives (ie, escape, achievement). Based on studies of alcohol use that suggest a mediator role of drinking motives between distal influences (eg, trauma symptoms) and drinking problems, this study examined the assumption that there is an indirect link between psychiatric distress and POG via the mediation of gaming motives. Furthermore, it was also assumed that there was a moderator effect of gender and game type preference based on the important role gender plays in POG and the structural differences between different game types

CVaR minimization by the SRA algorithm

Using the risk measure CV aR in �nancial analysis has become more and more popular recently. In this paper we apply CV aR for portfolio optimization. The problem is formulated as a two-stage stochastic programming model, and the SRA algorithm, a recently developed heuristic algorithm, is applied for minimizing CV aR

Multiple, weak hits confuse complex systems: A transcriptional regulatory network as an example

Robust systems, like the molecular networks of living cells are often resistant to single hits such as those caused by high-specificity drugs. Here we show that partial weakening of the Escherichia coli and Saccharomyces cerevisiae transcriptional regulatory networks at a small number (3-5) selected nodes can have a greater impact than the complete elimination of a single selected node. In both cases, the targeted nodes have the greatest possible impact; still the results suggest that in some cases broad specificity compounds or multitarget drug therapies may be more effective than individual high-affinity, high-specificity ones. Multiple but partial attacks mimic well a number of in vivo scenarios and may be useful in the efficient modification of other complex systems.Comment: 8 pages, 3 figures, 2 table

Classification and Identification of Three Vintage Designated Hungarian Spirits by Their Volatile Compounds

The quality of fruit based spirits varies year to year; therefore, the identification of the vintage of a distilled alcoholic beverage is necessary, but requires highly sensitive analytics. The interpretation of the gathered data requires a well-adapted chemometric method. In this study, Hungarian apple, sour cherry and plum distillates (pálinka’s) from different vintages were analyzed, classified and identified using volatile composition analyzed by GC-MS. The fruit’s origin, fermentation technique and distillation were the same at all the fruits; the only differences in the samples were their vintages (2010, 2011 and 2012). Analysis of variance (ANOVA) and Linear discriminant analysis (LDA) was applied for classification and components’ identification related to the vintage effect. The samples were successfully classified (correct classification rate ranging from 75 to 100%), three components are found to be related to the vintage effect regardless the fruit type: propanol, butanol and ethyl-propionate. GC-MS data proved to be a promising tool for classification of fruit distillate vintages

Simple and Automatic Monitoring of Cancer Cell Invasion into an Epithelial Monolayer Using Label-Free Holographic Microscopy

The invasiveness of cancer cells describes the metastasizing capability of a primary tumor. The straightforward detection and quantification of cancer cell invasion are important to predict the survival rate of a cancer patient and to test how anti-cancer compounds influence cancer progression. Digital holographic microscopy based M4 Holomonitor (HM) is a technique that allows the label-free monitoring of cell morphological and kinetical parameters in real-time. Here, a fully confluent epithelial monolayer derived from the African green monkey kidney (Vero) on a gelatin-coated surface was established, then HeLa cells were seeded on top of the monolayer, and their behavior was monitored for 24 h using HM. Several cancer cells showing invasiveness were detected during this period, while other HeLa cells did not show any signs of aggressivity. It was demonstrated that the invasion of single cancer cells is soundly observable and also quantifiable through monitoring parameters such as phase shift, optical volume, area, and motility, which parameters can easily be obtained and processed automatically. Based on the experimental data, the invasion speed of cancer cells entering the epithelial layer can be defined as the shrinking of detected single-cell volume per unit time. The invasion speed and its correlation with cell migration parameters were analyzed in depth. A clear linear relationship between migration and invasion speed was found, cancer cells with stronger migration have slower invasion speed. These results not only describe the effect of how cancer cells invade the underlying monolayer in contrast to non-invasive HeLa cells, but could help in future research to optimize drugs affecting cell invasibility in a fully automated, label-free and high-throughput manner

HIGH DIMENSIONAL CHARACTERISATION OF CELLULAR FEATURES BY SINGLE CELL MASS CYTOMETRY

High resolution measurement characterizing the large number of cellular features is in the focus of recent cell biological research. To achieve these goals single cell mass cytometry combines advantages of the single cell resolution of traditional fluorescence-based flow cytometry with the multiplexicity of inductively coupled plasma-mass spectrometry. Instead of fluorophores detection for mass cytometry is based on stable heavy-metal isotope labeled antibodies. Thus, the autofluorescence and spectral overlapping are eliminated. The current state-of-the-art mass cytometer is capable of measuring up to 135 different stable isotopes of rare earth metals, although the current availability of these tags in high purity limits the usage to around 45 different rare earth metal tags. This unique feature enables researchers to multiplex up to 45 different antibodies in one single tube. Extensive mapping of signaling networks in single cells, cell surface receptor quantification has been also achieved by single cell mass cytometry. Sample multiplexing is also possible by barcoding prior the antibody labeling which enables the combination of 20 different samples in one single tube. Cell types, cellular populations of interest can be visualized on dot plots and the protein expression levels are demonstrated by histograms. Furthermore, gating hierarchy above 10-12 level is also manageable. Mass cytometry deeply reveals cellular heterogeneity on the basis of highly multiplex phenotypical and functional characterization. There are several novel algorithmic approaches to process large datasets such as: SPADE, viSNE, Citrus. The monitoring of the complex immunophenotype is highly relevant in several human diseases which have been previously restricted to limited number of markers with flow cytometry compared to single cell mass cytometry. Human systemic autoimmune diseases (rheumatoid arthritis, systemic lupus erythemathosus and systemic sclerosis) are under investigation. The cellular complexity and functional heterogeneity of solid tumors, inflammatory diseases and animal models (tumor, bone marrow, spleen, lymph nodes) will be also analyzed in our laboratory by single cell mass spectrometry. Funding: GINOP-2.3.2-15-2016-00030 (LGP); János Bolyai Research Scholarship (GJSz, BO/00139/17/8