Summary Background: A gap exists between evidence-based medicine and clinical-practice. Every day, healthcare professionals (HCPs) combine empirical evidence and subjective experience in order to maximize the effectiveness of interventions. Consequently, it is important to understand how HCPs interpret the research evidence and apply it in everyday practice. We focused on the prevention of falls, a common cause of injury-related morbidity and mortality in later life, for which there is a wide range of known risk factors. Objectives: To use the Analytic Hierarchy Process (AHP) to investigate the opinions of HCPs in prioritizing risk factors for preventing falls. Methods: We used the AHP to develop a hierarchy of risk factors for falls based on the knowledge and experience of experts. We submitted electronic questionnaires via the web, in order to reach a wider number of respondents. With a web service, we pooled the results and weighted the coherence and the experience of respondents. Results: Overall, 232 respondents participated in the study: 32 in the technical pilot study, nine in the scientific pilot study and 191 respondents in the main study. We identified a hierarchy of 35 risk factors, organized in two categories and six sub-categories. Conclusions: The hierarchy of risk factors provides further insights into clinicians’ perceptions of risk factors for falls. This hierarchy helps understand the relative importance that clinicians place on risk factors for falls in older people and why evidence-based guidelines are not always followed. This information may be helpful in improving intervention programs and in understanding how clinicians prioritize multiple risk factors in individual patients. The AHP method allows the opinions of HCPs to be investigated, giving appropriate weight to their coherence, background and experience.

Starting from methyl salicylate and 2-amino-2-(hydroxymethyl)propane-1,3-diol 1a , or 2-amino- 2-methylpropane-1-ol 1b , the 2-oxazoline derivatives 2a , 2b or 3, as well as mono- 4a and 4b and bis- 5a and 5b derivatives of salicylic acid were synthesized. Reactions were performed by microwave irradiation in the presence of tetrabutylammonium bromide or metallic sodium as catalyst, as well as by conventional heating. Microwave-induced reaction of some diols, diamines and amino alcohols with methyl salicylate gave mono- and/or bis- derivatives of salicylic acid 4c, 5c, 5d, 6c, 8c, 7a, 7b, 8a and 8b . The mono- and bis-salicyloyl derivatives 4c , 5c and 5d were transformed to the corresponding phenyl-azo derivatives 9, 10c and 10d . The structure of compound 3 was proved by the X-ray analysis and the R-configuration on its stereocenter was confirmed. The antioxidant and cytotoxic activities of the synthesized derivatives were evaluated in a series of in vitro tests. Compounds 5d , 8b and 8c exhibited very strong activity against hydroxyl radical. Six 4c , 5d , 8a-c , 10c of 16 tested compounds inhibited growth of MDA-MB-231 cells at a nanomolar concentration. Compounds 8c and 10c showed high cytotoxicity against MCF7 cells, whereas compounds 4c , 5d , 8a-c and 10d showed high activity against K562 cells.

Imitation learning has been recognized as a promising technique to teach robots advanced skills. It is based on the idea that robots could learn new behaviors by observing and imitating the behaviors of other skilled actors. We propose an adaptive probabilistic graphical model which copes with three core issues of any imitative behavior: observation, representation and reproduction of skills. Our model, Growing Hierarchical Dynamic Bayesian Network (GHDBN), is hierarchical (i.e. able to characterize structured behaviors at different levels of abstraction), and growing (i.e. skills are learned or updated incrementally - and at each level of abstraction - every time a new observation sequence is available). A GHDBN, once trained, is able to recognize skills being observed and to reproduce them by exploiting the generative power of the model. The system has been successfully tested in simulation, and initial tests have been conducted on a NAO humanoid robot platform.

Language is among the most fascinating and complex cognitive activities that develops rapidly since the early months of infants' life. The aim of the present work is to provide a humanoid robot with cognitive, perceptual and motor skills fundamental for the acquisition of a rudimentary form of language. We present a novel probabilistic model, inspired by the findings in cognitive sciences, able to associate spoken words with their perceptually grounded meanings. The main focus is set on acquiring the meaning of various perceptual categories (e.g. red, blue, circle, above, etc.), rather than specific world entities (e.g. an apple, a toy, etc.). Our probabilistic model is based on a variant of multi-instance learning technique, and it enables a robotic platform to learn grounded meanings of adjective/noun terms. The systems could be used to understand and generate appropriate natural language descriptions of real objects in a scene, and it has been successfully tested on the NAO humanoid robotic platform.

ObjectiveTo analyze the prevalence of diagnosed and suspected autoinflammatory diseases in Eastern and Central European (ECE) countries, with a particular interest on the diagnostic facilities in these countries.MethodsTwo different strategies were used to collect data on patients with periodic fever syndromes from ECE countries- the Eurofever survey and collection of data with the structured questionnaire.ResultsData from 35 centers in 14 ECE countries were collected. All together there were 11 patients reported with genetically confirmed familial Mediterranean fever (FMF), 14 with mevalonate-kinase deficiency (MKD), 11 with tumor necrosis factor receptor associated periodic syndrome (TRAPS) and 4 with chronic infantile neurological cutaneous and articular syndrome (CINCA). Significantly higher numbers were reported for suspected cases which were not genetically tested. All together there were 49 suspected FMF patients reported, 24 MKD, 16 TRAPS, 7 CINCA and 2 suspected Muckle-Wells syndrome (MWS) patients.ConclusionsThe number of genetically confirmed patients with periodic fever syndromes in ECE countries is very low. In order to identify more patients in the future, it is important to organize educational programs for increasing the knowledge on these diseases and to establish a network for genetic testing of periodic fever syndromes in ECE countries.

<p>Usage of unallowed stimulative drugs for recovery implies consuming or giving to others substances which artificially improve physical and psychical condition of an athlete and thus improve his/her success in sport. The goal of the study is to examine attitudes of football players of various length of sports experience, towards unallowed stimulative substances for recovery. The sample of examinees consists of 120 football players divided into two groups, on basis of the sports experience length (first group: 4-8 years of sport experience, second group: 9-14 years). The sample of variables consists of a system of 10 items (claims) assessed on a 5-grade scale. The importance of the differences between the groups was determined by a multivariate and univariate analysis of variance, discriminative analysis, Roy&iacute;s test, Pearson's coefficient of contingency and the coefficient of multiple correlation. It is evident that football players of different length of sport experience differ among themselves in their attitudes towards unallowed drugs for recovery, however, those differences are not big.</p>

Inhibition of antigen-dependent B-cell receptor (BCR) signaling is considered a promising therapeutic approach in chronic lymphocytic leukemia (CLL), but experimental in vivo evidence to support this view is still lacking. We have now investigated whether inhibition of BCR signaling with the selective Syk inhibitor fostamatinib disodium (R788) will affect the growth of the leukemias that develop in the Eμ-TCL1 transgenic mouse model of CLL. Similarly to human CLL, these leukemias express stereotyped BCRs that react with autoantigens exposed on the surface of senescent or apoptotic cells, suggesting that they are antigen driven. We show that R788 effectively inhibits BCR signaling in vivo, resulting in reduced proliferation and survival of the malignant B cells and significantly prolonged survival of the treated animals. The growth-inhibitory effect of R788 occurs despite the relatively modest cytotoxic effect in vitro and is independent of basal Syk activity, suggesting that R788 functions primarily by inhibiting antigen-dependent BCR signals. Importantly, the effect of R788 was found to be selective for the malignant clones, as no disturbance in the production of normal B lymphocytes was observed. Collectively, these data provide further rationale for clinical trials with R788 in CLL and establish the BCR-signaling pathway as an important therapeutic target in this disease.