The Bivariate Distribution of a Median Smoothed Markov Chain

Median based smoothing algorithms have received considerable attention in the last few years. Their properties make them sometimes superior to linear smoothers. In this paper we develop an expression for the bivariate distribution of a median- smoothed Markov chain and we illustrate one application of it by comparing the power spectra of the input and the output of a median smoother when the input is binary valued.     

CULTURE AND THE UNIVERSITY

In this article, the author who is the present Director‐General of Unesco, gives both an overview of the development of links between culture and higher education in Europe and suggestions for the continued expansion of these links. Universities are called upon to assume major roles in the Plan of Action of the World Decade for Cultural Development (1988‐1997) and in other Unesco activities, in Europe as well as world‐wide. For the university has a role to play not only in preserving that which is best in European culture but in furthering cultural innovation and cultural dialogue in Europe itself and between Europe and other regions of the world. The university is equally well‐suited to bridge the gap between the technical and the humanistic cultures, humanizing the one while making the other more rigorous, as well as the gap between popular and academic culture. In fulfilling its role, world‐wide, as preserver, transmitter, synthesizer, and innovator in the realm of culture, the universities will contribute greatly to the accomplishment of the universal mission of Unesco.     

False negativity to carbohydrate-deficient transferrin and drugs: a clinical case

Introduction:

In this work we report on the possible effect of the medical therapy on CDT concentration in a chronic alcohol abuser, with known medical history (July 2007 – April 2012) and alcohol abuse confirmed by relatives.

Case history:

At the end of 2007, patient displayed the following laboratory results: AST 137 U/L, ALT 120 U/L, GGT 434 U/L, MCV 101 fL and CDT 3.3%. On December 2007, after double coronary artery bypass surgery, he began a pharmacological treatment with amlodipine, perindopril, atorvastatin, isosorbide mononitrate, carvedilol, ticlopidine and pantoprazole. In the next months, until may 2011, the patient resumed alcohol abuse, as confirmed by relatives; however, CDT values were repeatedly found negative (0.8% and 1.1%) despite elevated transaminases and GGT, concurrent elevated ethyl glucuronide concentration (> 50 mg/L) and blood alcohol concentration (> 1 g/L). Alcohol consumption still continued despite increasing disulfiram doses ordered by an Alcohol Rehab Center. On May 2011, the patient was transferred to a private medical center where he currently lives.

Conclusions:

This study suggests the possibility that a medical therapy including different drugs may hamper the identification of chronic alcohol abusers by CDT.     

Are the Yo-Yo intermittent recovery test levels 1 and 2 both useful? Reliability,responsiveness and interchangeability in young soccer players

Abstract

The aim of this study was to compare the reliability, internal responsiveness and interchangeability of the Yo-Yo intermittent recovery test level 1 (YY1), level 2 (YY2) and submaximal YY1 (YY1-sub). Twenty-four young soccer players (age 17 ± 1 years; height 177 ± 7 cm; body mass 68 ± 6 kg) completed each test five times within pre- and in-season; distances covered and heart rates (HRs) were measured. Reliability was expressed as typical error of measurement (TEM) and intraclass correlation coefficient (ICC). Internal responsiveness was determined as effect size (ES) and signal-to-noise ratio (ES_TEM). Interchangeability was determined with correlation between training-induced changes. The TEM and ICC for distances in the YY1 and YY2 and for HR in YY1-sub were 7.3% and 0.78, 7.1% and 0.93 and 2.2% and 0.78, respectively. The ESs and ES_TEMs were 0.9 and 1.9 for YY1, 0.4 and 1.2 for YY2 and ?0.3 and ?0.3 for YY1-sub. Correlations between YY1 vs. YY2 and YY1-sub were 0.56 to 0.84 and ?0.36 to ?0.81, respectively. Correlations between change scores in YY1 vs. YY2 were 0.29 and ?0.21 vs. YY1-sub. Peak HR was higher in YY1 vs. YY2. The YY1 and YY2 showed similar reliability; however, they were not interchangeable. The YY1 was more responsive to training compared to YY2 and YY1-sub.     

Scientific community detection via bipartite scholar/journal graph co-clustering

This paper stems from the observation that researchers in different fields tend to publish in different journals. Such a relationship between researchers and journals is quantitatively exploited to identify scientific community clusters, by casting the community detection problem into a co-clustering problem on bipartite graphs. Such an approach has the potential of leading not only to the fine- grained detection of scholar communities based on the similarity of their research activity, but also to the clustering of scientific journals based on which are the most representative of each community. The proposed methodology is purely data-driven and completely unsupervised, and does not rely on any semantics (e.g. keywords or a-priori subjective categories). Moreover, unlike “flat” data structures (e.g. collaboration graphs or citation graphs) our bipartite graph approach blends in a joint structure both the researcher's attitude and interests (i.e., freedom to select the venue where to publish) as well as the community's recognition (i.e., acceptance of the publication on a target journal); as such may perhaps inspire further scientometric evaluation strategies. Our proposed approach is applied to the Italian research system, for two broad areas (ICT and Microbiology&Genetics), and reveals some questionable aspects and community overlaps in the current Italian scientific sectors classification.     

Conflict-Framed News,Self-Categorization,and Partisan Polarization

Two experiments tested whether exposure to partisan conflict-framed news polarizes news consumers along party lines. Partisan self-categorization and motivated reasoning were examined as potential mediators of this effect. In two samples, path analyses showed that Democrats and Republicans exposed to partisan conflict-framed news adopted more polarized opinions on a disputed issue. This polarization effect was consistently mediated by perceived argument validity, an indicator of motivated reasoning; increased partisan self-categorization also mediated the effect, though less reliably and consistently. Thus, the present study adds to the literature on polarization by providing experimental evidence that exposure to conflict-framed news may contribute to partisan polarization. Theoretical and practical implications are discussed.     

Primary Physical Science for Student Teachers at Kindergarten and Primary School Levels: Part II—Implementation and Evaluation of a Course

Interchange - This is the second of two papers on a novel physical science course for student teachers that develops and uses an imaginative approach to Primary Physical Science Education....