Simpler is better: a novel genetic algorithm to induce compact multi-label chain classifiers

Multi-label classification (MLC) is the task of assigning multiple class labels to an object based on the features that describe the object. One of the most effective MLC methods is known as Classifier Chains (CC). This approach consists in training q binary classifiers linked in a chain, y1 → y2 → ... → yq, with each responsible for classifying a specific label in {l1, l2, ..., lq}. The chaining mechanism allows each individual classifier to incorporate the predictions of the previous ones as additional information at classification time. Thus, possible correlations among labels can be automatically exploited. Nevertheless, CC suffers from two important drawbacks: (i) the label ordering is decided at random, although it usually has a strong effect on predictive accuracy; (ii) all labels are inserted into the chain, although some of them might carry irrelevant information to discriminate the others. In this paper we tackle both problems at once, by proposing a novel genetic algorithm capable of searching for a single optimized label ordering, while at the same time taking into consideration the utilization of partial chains. Experiments on benchmark datasets demonstrate that our approach is able to produce models that are both simpler and more accurate

Magnetism of two-dimensional defects in Pd: stacking faults, twin boundaries and surfaces

Careful first-principles density functional calculations reveal the importance of hexagonal versus cubic stacking of closed packed planes of Pd as far as local magnetic properties are concerned. We find that, contrary to the stable face centered cubic phase, which is paramagnetic, the hexagonal close-packed phase of Pd is ferromagnetic with a magnetic moment of 0.35 $\mu_{B}$/atom. Our results show that two-dimensional defects with local hcp stacking, like twin boundaries and stacking faults, in the otherwise fcc Pd structure, increase the magnetic susceptibility. The (111) surface also increases the magnetic susceptibility and it becomes ferromagnetic in combination with an individual stacking fault or twin boundary close to it. On the contrary, we find that the (100) surface decreases the tendency to ferromagnetism. The results are consistent with the magnetic moment recently observed in small Pd nanoparticles, with a large surface area and a high concentration of two-dimensional stacking defects.Comment: 8 pages, 10 figure

A high-fat meal impairs muscle vasodilatation response to mental stress in humans with Glu27 β2-adrenoceptor polymorphism

<p>Abstract</p> <p>Background</p> <p>Forearm blood flow responses during mental stress are greater in individuals homozygous for the Glu27 allele. A high-fat meal is associated with impaired endothelium-dependent dilatation. We investigated the impact of high-fat ingestion on the muscle vasodilatory responses during mental stress in individuals with the Glu27 allele and those with the Gln27 allele of the β₂-adrenoceptor gene.</p> <p>Methods</p> <p>A total of 162 preselected individuals were genotyped for the Glu27Gln β₂-adrenoceptor polymorphism. Twenty-four individuals participated in the study. Fourteen were homozygous for the Gln27 allele (Gln27Gln, 40 ± 2 years; 64 ± 2 kg), and 10 were homozygous for the Glu27 allele (Glu27Glu, 40 ± 3 years; 65 ± 3 kg). Forearm blood flow was evaluated by venous occlusion plethysmography before and after ingestion of 62 g of fat.</p> <p>Results</p> <p>The high-fat meal caused no changes in baseline forearm vascular conductance (FVC, 2.2 ± 0.1 vs. 2.4 ± 0.2; <it>P </it>= 0.27, respectively), but reduced FVC responses to mental stress (1.5 ± 0.2 vs. 0.8 ± 0.2 units; <it>P </it>= 0.04). When volunteers were divided according to their genotypes, baseline FVC was not different between groups (Glu27Glu = 2.4 ± 0.1 vs. Gln27Gln = 2.1 ± 0.1 units; <it>P </it>= 0.08), but it was significantly greater in Glu27Glu individuals during mental stress (1.9 ± 0.4 vs. 1.0 ± 0.3 units; <it>P </it>= 0.04). High-fat intake eliminated the difference in FVC responses between Glu27Glu and Gln27Gln individuals (FVC, 1.3 ± 0.4 vs. 1.2 ± 0.4; <it>P </it>= 0.66, respectively).</p> <p>Conclusion</p> <p>These findings demonstrate that a high-fat meal impairs muscle vasodilatation responses to mental stress in humans. However, this reduction can be attributed to the presence of the homozygous Glu27 allele of the β₂-adrenoceptor gene.</p

Genetic mapping of a new heart rate QTL on chromosome 8 of spontaneously hypertensive rats

BACKGROUND: Tachycardia is commonly observed in hypertensive patients, predominantly mediated by regulatory mechanisms integrated within the autonomic nervous system. The genetic loci and genes associated with increased heart rate in hypertension, however, have not yet been identified. METHODS: An F2 intercross of Spontaneously Hypertensive Rats (SHR) × Brown Norway (BN) linkage analysis of quantitative trait loci mapping was utilized to identify candidate genes associated with an increased heart rate in arterial hypertension. RESULTS: Basal heart rate in SHR was higher compared to that of normotensive BN rats (365 ± 3 vs. 314 ± 6 bpm, p < 0.05 for SHR and BN, respectively). A total genome scan identified one quantitative trait locus in a 6.78 cM interval on rat chromosome 8 (8q22–q24) that was responsible for elevated heart rate. This interval contained 241 genes, of which 65 are known genes. CONCLUSION: Our data suggest that an influential genetic region located on the rat chromosome 8 contributes to the regulation of heart rate. Candidate genes that have previously been associated with tachycardia and/or hypertension were found within this QTL, strengthening our hypothesis that these genes are, potentially, associated with the increase in heart rate in a hypertension rat model

Cotiarinase is a novel prothrombin activator from the venom of Bothrops cotiara

Snake venom serine proteinases (SVSPs) may affect hemostatic pathways by specifically activating components involved in coagulation, fibrinolysis and platelet aggregation or by unspecific proteolytic degradation. in this study, we purified and characterized an SVSP from Bothrops cotiara venom, named cotiarinase, which generated thrombin upon incubation with prothrombin. Cotiarinase was isolated by a two-step procedure including gel-filtration and cation-exchange chromatographies and showed a single protein band with a molecular mass of 29 kDa by SDS-polyacrylamide gel electrophoresis under reducing conditions. Identification of cotiarinase by mass spectrometric analysis revealed peptides that matched sequences of viperid SVSPs. Cotiarinase did not show fibrinogen-clotting, platelet-aggregating, fibrino-genolytic and factor X activating activities. Upon incubation with prothrombin the generation of thrombin was detected using the peptide substrate D-Phe-Pip-Arg-pNA. Moreover, mass spectrometric identification of prothrombin fragments generated by cotiarinase in the absence of co-factors (phospholipids, factor Va, factor Xa and Ca2+ ions), indicated the limited proteolysis of this protein to release prothrombin 1, fragment 1 and thrombin. Cotiarinase is a novel SVSP that acts on prothrombin to release active thrombin that does not match any group of the current classification of snake venom prothrombin activators. (C) 2013 Elsevier Masson SAS. All rights reserved.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Inst Butantan, CAT Cepid, Lab Especial Toxinol Aplicada, BR-05503000 São Paulo, BrazilUniversidade Federal de São Paulo, Dept Ciencias Exatas & Terra, São Paulo, BrazilUniversidade Federal de São Paulo, Dept Ciencias Exatas & Terra, São Paulo, BrazilFAPESP: 98/14307-9FAPESP: 11/08514-8FAPESP: 2011/11308-0Web of Scienc