Correction: Telomerase is required for zebrafish lifespan

[This corrects the article DOI: 10.1371/journal.pgen.1003214.]

Reliability prediction of oil production wells by particle swarm optimized support vector machines

International audienceIn the oil industry, well failures lead to interruption of oil production, with significant economical losses. In order to avoid such undesirable situations, reliability prediction may be a valuable tool. Generally, system reliability depends on a number of factors, e.g. aging, operational and maintenance conditions. The consideration of all the involved aspects and their interdependencies renders difficult an analytical treatment. In these cases, empirical modeling may be an effective way for reliability prediction. In this paper, the powerful empirical modeling paradigm of Support Vector Machines (SVMs) is investigated, with respect to the dependence of their performance depends on a set of real-valued parameters that govern the learning phase. This leads to the so called SVM model selection problem, which is here tackled via Particle Swarm Optimization (PSO). The developed PSO?SVM approach is applied to the reliability prediction of Brazilian oil production wells

Reliability prediction of oil wells by support vector machine with particle swarm optimization for variable selection and hyperparameter tuning

International audienc

Aplicação em pré-colheita, de dessecante em duas cultivares de soja (Glycine max (L.) Merril) I - Efeitos imediatos sobre a germinação e produção de sementes

Plantas de soja das cultivares Santa Rosa e IAC-2 foram tratadas, em diferentes épocas após o início do florescimento, com o desse cante paraquat na dose de 2 l/ha do produto comercial. Objetivou-se avaliar os possíveis efeitos sobre a infecção de sementes por microorganismos prejudiciais a sua qualidade. As aplicações do produto foram feitas semanalmente a partir dos 72 e 75 dias após o início do fl orescimento, para as cultivares IAC -2 e Santa Rosa. respectivamente (teores de umidade das sementes de 56,8 e 57,5%). Para todas as épocas tratadas, existiam as suas respectivas comparações que não receberam o produto. As testemunhas foram colhidas seguindo-se os critérios usuais dos agricultores que trabalham com soja, aos 100 e 103 dias após o inicio do florescimento, respectivamente para as cultivares IAC-2 e Santa Rosa. A incidência de fungos prejudiciais à qualidade das sementes foi sempre menor para as parcelas que receberam dessecamento e aumentou com o retardamento da colheita, principalmente nas parcelas não tratadas.<br>The plant desiccant paraquat was applied on soybean plants at different stages of development 1972 and 75 days after flowering, weekly) and the harvested seeds examined as to fungus incidence. The data showed that the incidence of seed deteriorating fungi was always lower in the treated plots and increased when the harvest was delayed, mainly in the untreated plots

A noncoding single-nucleotide polymorphism at 8q24 drives IDH1-mutant glioma formation

Establishing causal links between inherited polymorphisms and cancer risk is challenging. Here, we focus on the single-nucleotide polymorphism rs55705857, which confers a sixfold greater risk of isocitrate dehydrogenase ((IDH)-mutant low-grade glioma (LGG). We reveal that rs55705857 itself is the causal variant and is associated with molecular pathways that drive LGG. Mechanistically, we show that rs55705857 resides within a brain-specific enhancer, where the risk allele disrupts OCT2/4 binding, allowing increased interaction with the (Myc) promoter and increased (Myc) expression. Mutating the orthologous mouse rs55705857 locus accelerated tumor development in an Idh1(R132H)-driven LGG mouse model from 472 to 172 days and increased penetrance from 30% to 75%. Our work reveals mechanisms of the heritable predisposition to lethal glioma in ~40% of LGG patients