Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes

One of the most challenging tasks when adopting Bayesian Networks (BNs) is the one of learning their structure from data. This task is complicated by the huge search space of possible solutions, and by the fact that the problem is NP-hard. Hence, full enumeration of all the possible solutions is not always feasible and approximations are often required. However, to the best of our knowledge, a quantitative analysis of the performance and characteristics of the different heuristics to solve this problem has never been done before. For this reason, in this work, we provide a detailed comparison of many different state-of-the-arts methods for structural learning on simulated data considering both BNs with discrete and continuous variables, and with different rates of noise in the data. In particular, we investigate the performance of different widespread scores and algorithmic approaches proposed for the inference and the statistical pitfalls within them

Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks

Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process of identifying gene/protein interactions from experimental data through computational analysis. However, this task is typically complicated by the enormously large scale of the unknowns in a rather small sample size. Furthermore, when the goal is to study causal relationships within the network, tools capable of overcoming the limitations of correlation networks are required. In this work, we make use of Bayesian Graphical Models to attach this problem and, specifically, we perform a comparative study of different state-of-the-art heuristics, analyzing their performance in inferring the structure of the Bayesian Network from breast cancer data

Padrão de inovação tecnológica na indústria de defensivos agrícolas brasileira

The aim of this paper is to analyze the patterns of technological innovation of the pesticide industry in Brazil in order to suggest industrial policies to reinforce the firm’s competitiveness. The database is based on micro-data of the Technological Innovation Survey (PINTEC) and the Yearly Industrial Survey (PIA) of the Brazilian Statistical and Geography Bureau (IBGE) in 2005. Based on this database the Brazilian industrial firms were classified into four categories according to their innovative capacity. The main results show the existence of multinational subsidiaries as technological leaders and follower firms, composed by national firms, which have reduced R&D capabilities, focusing less technology-intensive productsTechnological Innovation, Pesticide Industry, Technological Policies, Brazil, Agribusiness, Industrial Organization,

Assessment Of Reproducibility Of Sanders Classification For Calcaneal Fractures

To assess intra- and interobserver reproducibility of Sanders Classification System of calcaneal fractures among experienced and less experienced observers. Methods: Forty-six CT scans of intra-articular calcaneal fractures were reviewed. Four observers, two with ten years of experience in foot and ankle surgery and two third-year residents in Orthopedics and Traumatology classified the fractures on two separate occasions three weeks apart from each other. The intra and inter-observer reliability was analyzed using the Kappa index. Results: There was good intraobserver reliability for the two experienced observers and one less experienced observer (Kappa values 0.640, 0.632 and 0.629, respectively). The interobserver reliability was fair between the experienced observers (Kappa = 0.289) and moderate among the less experienced observers (Kappa = 0.527). Conclusions: The Sanders Classification System showed good intraobserver reliability, but interobserver reproducibility below the ideal level, both among experienced and less experienced observers.242909

Kinesio Taping effects on knee extension force among soccer players

Background : Kinesio Taping (KT) is widely used, however the effects of KT on muscle activation and force are contradictory. Objective: To evaluate the effects of KT on knee extension force in soccer players. Method: This is a clinical trial study design. Thirty-four subjects performed two maximal isometric voluntary contractions of the lower limbs pre, immediately post, and 24 hours after tape application on the lower limbs. Both lower limbs were taped, using K-Tape and 3M Micropore tape randomly on the right and left thighs of the participants. Isometric knee extension force was measured for dominant side using a strain gauge. The following variables were assessed: peak force, time to peak force, rate of force development until peak force, time to peak rate of force development, and 200 ms pulse. Results : There were no statistically significant differences in the variables assessed between KT and Micropore conditions (F=0.645, p=0.666) or among testing sessions (pre, post, and 24h after) (F=0.528, p=0.868), and there was no statistical significance (F=0.271, p=0.986) for interaction between tape conditions and testing session. Conclusion: KT did not affect the force-related measures assessed immediately and 24 hours after the KT application compared with Micropore application, during maximal isometric voluntary knee extension

Role of Room Temperature Sputtered High Conductive and High Transparent Indium Zinc Oxide Film Contacts on the Performance of Orange, Green, and Blue Organic Light Emitting Diodes

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The CD14+CD16+ inflammatory monocyte subset displays increased mitochondrial activity and effector function during acute Plasmodium vivax malaria

Infection with Plasmodium vivax results in strong activation of monocytes, which are important components of both the systemic inflammatory response and parasite control. The overall goal of this study was to define the role of monocytes during P. vivax malaria. Here, we demonstrate that P. vivax-infected patients display significant increase in circulating monocytes, which were defined as CD14(+)CD16- (classical), CD14(+)CD16(+) (inflammatory), and CD14loCD16(+) (patrolling) cells. While the classical and inflammatory monocytes were found to be the primary source of pro-inflammatory cytokines, the CD16(+) cells, in particular the CD14(+)CD16(+) monocytes, expressed the highest levels of activation markers, which included chemokine receptors and adhesion molecules. Morphologically, CD14(+) were distinguished from CD14lo monocytes by displaying larger and more active mitochondria. CD14(+)CD16(+) monocytes were more efficient in phagocytizing P. vivax-infected reticulocytes, which induced them to produce high levels of intracellular TNF-alpha and reactive oxygen species. Importantly, antibodies specific for ICAM-1, PECAM-1 or LFA-1 efficiently blocked the phagocytosis of infected reticulocytes by monocytes. Hence, our results provide key information on the mechanism by which CD14(+)CD16(+) cells control parasite burden, supporting the hypothesis that they play a role in resistance to P. vivax infection