Avaliação Do Potencial Da Chuva De Sementes Como Alternativa Para Restauração Florestal Em áreas De Preservação Permanente

The ecological restoration of degraded areas using seeds collected in forest remnants has shown significant results. This study was developed to verify the potential of seed rain to regenerate forest fragments of a Permanent Preservation Area (PPA) in the Apa River Basin which is located in the southwestern portion of the Mato Grosso do Sul state, Brazil. To develop the study, we installed 25 collectors measuring 1 m2 each, which were systematically distributed on an area of 1.5ha. Seed gathering was conducted in a monthly basis throughout the year of 2013. A total of 26.411 propagules were identified and distributed among 50 species, 45 genera and 32 families. In terms of the propagules distribution, 70.51% were identified as trees, 22.8% as lianas, 6.5% as shrubs, 0.1 as herbaceous, 0.05% as palm and 0.05% could not be classified. The value for the Shannon Diversity Index was (H ') = 1.67 and the Pielou Evenness index was (J) = 0.42. These results indicate that the seeds rain has low species diversity with the abundance of a few species. The overall results suggest that seed rain can be a potential technique for restoration of the PPAs and other forested areas. However, it is necessary to enhance the diversity of tree species. © 2016, Sociedade de Investigacoes Florestais. All rights reserved.401212

Search for jet extinction in the inclusive jet-pT spectrum from proton-proton collisions at s=8 TeV

Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published articles title, journal citation, and DOI.The first search at the LHC for the extinction of QCD jet production is presented, using data collected with the CMS detector corresponding to an integrated luminosity of 10.7  fb−1 of proton-proton collisions at a center-of-mass energy of 8 TeV. The extinction model studied in this analysis is motivated by the search for signatures of strong gravity at the TeV scale (terascale gravity) and assumes the existence of string couplings in the strong-coupling limit. In this limit, the string model predicts the suppression of all high-transverse-momentum standard model processes, including jet production, beyond a certain energy scale. To test this prediction, the measured transverse-momentum spectrum is compared to the theoretical prediction of the standard model. No significant deficit of events is found at high transverse momentum. A 95% confidence level lower limit of 3.3 TeV is set on the extinction mass scale

Searches for electroweak neutralino and chargino production in channels with Higgs, Z, and W bosons in pp collisions at 8 TeV

Searches for supersymmetry (SUSY) are presented based on the electroweak pair production of neutralinos and charginos, leading to decay channels with Higgs, Z, and W bosons and undetected lightest SUSY particles (LSPs). The data sample corresponds to an integrated luminosity of about 19.5 fb(-1) of proton-proton collisions at a center-of-mass energy of 8 TeV collected in 2012 with the CMS detector at the LHC. The main emphasis is neutralino pair production in which each neutralino decays either to a Higgs boson (h) and an LSP or to a Z boson and an LSP, leading to hh, hZ, and ZZ states with missing transverse energy (E-T(miss)). A second aspect is chargino-neutralino pair production, leading to hW states with E-T(miss). The decays of a Higgs boson to a bottom-quark pair, to a photon pair, and to final states with leptons are considered in conjunction with hadronic and leptonic decay modes of the Z and W bosons. No evidence is found for supersymmetric particles, and 95% confidence level upper limits are evaluated for the respective pair production cross sections and for neutralino and chargino mass values

Investigation of Hydraulic Performance of Gabion Structures

This paper presents selected results of a detail study of the transmission and reflection performance of gabion structures used in harbour and costal engineering applications. The performance of the structures is discussed and the results of experimental investigations relating wave reflection and transmission are reviewed and presented in a user friendly format. The paper also provided important observations on the response of the design parameters to varying incident wave conditions

Sociodemographic and behavioral factors associated with overweight in brazilian adolescents-2015

Avaliar os fatores sociodemográficos e comportamentais associados ao excesso de peso em adolescentes brasileiros. Trata-se de um estudo transversal e analítico com amostra de 10.926 escolares de 13 a 17 anos participantes da Pesquisa Nacional de Saúde do Escolar - PeNSE em 2015. Foi considerada como variável dependente o excesso de peso e as variáveis independentes foram os aspectos sociodemográficos e comportamentais (consumo alimentar, prática de atividade física e comportamento sedentário). Os dados foram analisados no software IBMr SPSSr, versao 21.0, utilizando procedimentos do Complex Samples Module. As variáveis que apresentaram associaçao significativa com o desfecho foram submetidas à regressao logística multivariada para ajuste do Odds Ratio (ORaj). A prevalência de excesso de peso foi de 23,7% entre os adolescentes pesquisados, apresentando associaçao significativa com: morar na regiao Sul (ORaj = 1,40; IC95% 1,15-1,71), ter de 13 a 15 anos (ORaj = 1,26; IC95% 1,08-1,30), morar com mais de três pessoas (ORaj = 0,82; IC95% 0,72-0,94), mae com ensino superior incompleto (ORaj = 1,53; IC95% 1,08-2,18), consumo de legumes maior ou igual a cinco dias (ORaj = 1,23; IC95% 1,08-1,40) e consumo de guloseimas até quatro dias (ORaj = 1,21; IC95% 1,05-1,39). A associaçao significativa entre o excesso de peso e menor faixa etária dos escolares apresenta um cenário preocupante uma vez que hábitos nao saudáveis estao sendo incorporados cada vez mais cedo na vida dos indivíduos provocando efeitos deletérios a médio e longo prazo.162162

Data-Driven Phenotyping of Central Disorders of Hypersomnolence With Unsupervised Clustering

Background and ObjectivesRecent studies fueled doubts as to whether all currently defined central disorders of hypersomnolence are stable entities, especially narcolepsy type 2 and idiopathic hypersomnia. New reliable biomarkers are needed, and the question arises of whether current diagnostic criteria of hypersomnolence disorders should be reassessed. The main aim of this data-driven observational study was to see whether data-driven algorithms would segregate narcolepsy type 1 and identify more reliable subgrouping of individuals without cataplexy with new clinical biomarkers.MethodsWe used agglomerative hierarchical clustering, an unsupervised machine learning algorithm, to identify distinct hypersomnolence clusters in the large-scale European Narcolepsy Network database. We included 97 variables, covering all aspects of central hypersomnolence disorders such as symptoms, demographics, objective and subjective sleep measures, and laboratory biomarkers. We specifically focused on subgrouping of patients without cataplexy. The number of clusters was chosen to be the minimal number for which patients without cataplexy were put in distinct groups.ResultsWe included 1,078 unmedicated adolescents and adults. Seven clusters were identified, of which 4 clusters included predominantly individuals with cataplexy. The 2 most distinct clusters consisted of 158 and 157 patients, were dominated by those without cataplexy, and among other variables, significantly differed in presence of sleep drunkenness, subjective difficulty awakening, and weekend-week sleep length difference. Patients formally diagnosed as having narcolepsy type 2 and idiopathic hypersomnia were evenly mixed in these 2 clusters.DiscussionUsing a data-driven approach in the largest study on central disorders of hypersomnolence to date, our study identified distinct patient subgroups within the central disorders of hypersomnolence population. Our results contest inclusion of sleep-onset REM periods in diagnostic criteria for people without cataplexy and provide promising new variables for reliable diagnostic categories that better resemble different patient phenotypes. Cluster-guided classification will result in a more solid hypersomnolence classification system that is less vulnerable to instability of single features