Demonstration and validation of Kernel Density Estimation for spatial meta-analyses in cognitive neuroscience using simulated data

The data presented in this article are related to the research article entitled "Convergence of semantics and emotional expression within the IFG pars orbitalis" (Belyk et al., 2017) [1]. The research article reports a spatial meta-analysis of brain imaging experiments on the perception of semantic compared to emotional communicative signals in humans. This Data in Brief article demonstrates and validates the use of Kernel Density Estimation (KDE) as a novel statistical approach to neuroimaging data. First, we performed a side-by-side comparison of KDE with a previously published meta-analysis that applied activation likelihood estimation, which is the predominant approach to meta-analyses in cognitive neuroscience. Second, we analyzed data simulated with known spatial properties to test the sensitivity of KDE to varying degrees of spatial separation. KDE successfully detected true spatial differences in simulated data and displayed few false positives when no true differences were present. R code to simulate and analyze these data is made publicly available to facilitate the further evaluation of KDE for neuroimaging data and its dissemination to cognitive neuroscientists

Attachment preference in auditory German sentences: Individual differences and pragmatic strategy

Relative clauses modify a preceding element, but as this element can be flexibly located, the point of attachment is sometimes ambiguous. Preference for this attachment can vary within languages such as German, yet explanations for differences in attachment preference related to cognitive strategies or constraints have been conflicting in the current literature. The present study aimed to assess the preference for relative clause attachment among German listeners and whether these preferences could be explained by strategy or individual differences in working memory or musical rhythm ability. We performed a sentence completion experiment, conducted post hoc interviews, and measured working memory and rhythm abilities with diagnostic tests. German listeners had no homogeneous attachment preference, although participants consistently completed individual sentences across trials according to the general preference that they reported offline. Differences in attachment preference were moreover not linked to individual differences in either working memory or musical rhythm ability. However, the pragmatic content of individual sentences sometimes overrode the general syntactic preference in participants with lower rhythm ability. Our study makes an important contribution to the field of psycholinguistics by validating offline self-reports as a reliable diagnostic for an individual’s online relative clause attachment preference. The link between pragmatic strategy and rhythm ability is an interesting direction for future research

A Mobile App to Aid Smoking Cessation: Preliminary Evaluation of SmokeFree28

Background: Little is known about the effectiveness of mobile apps in aiding smoking cessation or their validity for automated collection of data on smoking cessation outcomes. Objective: We conducted a preliminary evaluation of SF28 (SF28 is the name of the app, short for SmokeFree28)—an app aimed at helping smokers to be smoke-free for 28 days. / Methods: Data on sociodemographic characteristics, smoking history, number of logins, and abstinence at each login were uploaded to a server from SF28 between August 2012 and August 2013. Users were included if they were aged 16 years or over, smoked cigarettes at the time of registration, had set a quit date, and used the app at least once on or after their quit date. Their characteristics were compared with data from a representative sample of smokers trying to stop smoking in England. The percentage of users recording 28 days of abstinence was compared with a value of 15% estimated for unaided quitting. Correlations were assessed between recorded abstinence for 28 days and well-established abstinence predictors. / Results: A total of 1170 users met the inclusion criteria. Compared with smokers trying to quit in England, they had higher consumption, and were younger, more likely to be female, and had a non-manual rather than manual occupation. In total, 18.9% (95% CI 16.7-21.1) were recorded as being abstinent from smoking for 28 days or longer. The mean number of logins was 8.5 (SD 9.0). The proportion recording abstinence for 28 days or longer was higher in users who were older, in a non-manual occupation, and in those using a smoking cessation medication. / Conclusions: The recorded 28-day abstinence rates from the mobile app, SF28, suggest that it may help some smokers to stop smoking. Further evaluation by means of a randomized trial appears to be warranted

A mixture representation of the Linnik distribution

Cataloged from PDF version of article.Linnik distribution with the characteristic function ~o,(tl = 1/(1 + Itl=), 0 < ~ < 2, is shown to possess the following property. Let X,,Xp be random variables possessing the Linnik distribution with parameters ~ and (0 < ~ < fl ~< 2). Denote by Y~ an independent of X~ non-negative random variable with the density ,q(s;~,fl) = sin 1 + s 2~ + 2s cos~ Then X, -'- X e Y~p, fl respectively where - denotes the equality in the sense of distributions. Infinite divisibility of mixtures of Linnik distributions with respect to the parameter ~ and scale is obtained as a corollary. AMS 1980 Subject Classification." Primary 62H05, 60El0; Secondary 33A4

dráma 4 felvonásban - írta Eugéne Brieux - fordította Zigány Árpád - rendező Kemény Lajos

Városi Szinház. Debreczen, 1913 február 15 -én szombaton: K. Hegyesy Mari és Beregi Oszkár a budapesti nemzeti szinház művészeinek együttes felléptével.Debreceni Egyetem Egyetemi és Nemzeti Könyvtá

Association between income and education with quit attempts, use of cessation aids, and short-term success in tobacco smokers: A social gradient analysis from a population-based cross-sectional household survey in Germany (DEBRA study)

INTRODUCTION: Smoking is more prevalent in smokers from lower compared with higher socioeconomic (SES) groups, but studies are inconsistent regarding underlying mechanisms. We aimed to assess associations between SES indicators and three distinct aspects of the smoking cessation process: attempting to quit; use of evidence-based cessation treatments; and success. METHODS: We analysed data of 12,161 last-year smokers (i.e., current smokers and recent ex-smokers who quit ≤ 12 months) from 20 waves (June/July 2016 to August/September 2019) of the German Study on Tobacco Use (DEBRA) - a representative household survey. Associations between indicators of SES (income and education) and (1) last-year quit attempts; (2) use of evidence-based cessation treatment or electronic cigarettes during the last attempt; and (3) short-term self-reported abstinence were analysed using multivariable logistic regression, adjusted for potential confounders. RESULTS: Of all last-years smokers, 18.6% had attempted to quit, of whom 15.2% had successfully stopped. Higher income (OR 0.82, 95%CI = 0.77-0.88 per 1000€) but low vs. high education (OR 0.83, 95%CI = 0.73-0.95) were associated with lower odds of quit attempts. In smokers with quit attempts, higher income but not education was associated with higher odds of using cessation medication (OR 1.31, 95%CI = 1.08-1.59 per 1000 €). Neither income nor education were associated with using behavioural support or success. CONCLUSIONS: In the German healthcare system without free access to evidence-based cessation therapy, low-income smokers are more likely to make a quit attempt but less likely to use cessation medication than high-income smokers. Equitable access to such medication is crucial to reduce SES-related health disparities

The ensemble of random Markov matrices

The ensemble of random Markov matrices is introduced as a set of Markov or stochastic matrices with the maximal Shannon entropy. The statistical properties of the stationary distribution pi, the average entropy growth rate $h$ and the second largest eigenvalue nu across the ensemble are studied. It is shown and heuristically proven that the entropy growth-rate and second largest eigenvalue of Markov matrices scale in average with dimension of matrices d as h ~ log(O(d)) and nu ~ d^(-1/2), respectively, yielding the asymptotic relation h tau_c ~ 1/2 between entropy h and correlation decay time tau_c = -1/log|nu| . Additionally, the correlation between h and and tau_c is analysed and is decreasing with increasing dimension d.Comment: 12 pages, 6 figur

Why the P600 is not just a P300: The role of the basal ganglia

One of the important issues in event-related brain potential research is whether the language-related P600 and the P300 oddball effect are distinct components or not. We addressed this question by testing 14 aphasic patients, half of them with lesions including the basal ganglia and half of them with temporo-parietal lesions, in both an auditory oddball task and an experiment with auditory presented verb inflection violations. Whereas both patient groups displayed a clear P300 effect in the oddball experiment, only the group with temporo-parietal lesions showed a P600 in the language experiment. These data indicate that the basal ganglia seem to play a crucial role in the modulation of the P600, but not of the P300 component