Влияние изменения тиреоидного статуса на активность центральной стресс-лимитирующей системы

ТИРЕОИДНЫЕ ГОРМОНЫЙОДСОДЕРЖАЩИЕ ТИРЕОИДНЫЕ ГОРМОНЫСТРЕСССТРЕСС-ЛИМИТИРУЮЩИЕ СИСТЕМЫТИРОКСИНГИПЕРТИРЕОЗГИПОТИРЕОЗЭКСПЕРИМЕНТЫ НА ЖИВОТНЫХБИОМЕДИЦИНСКИЕ ИССЛЕДОВАНИЯКРЫС

Avaliação da produtividade de híbridos de sorgo granífero na safrinha 2014 em Jataí-GO.

O trabalho teve como objetivo avaliar a produtividade de híbridos de sorgo granífero nas condições edafoclimáticas de Jataí-GO. O delineamento utilizado foi o de blocos ao acaso com 3 repetições e 25 tratamentos, sendo 22 híbridos simples, pré-comerciais, oriundos do Núcleo de Recursos Genéticos e Desenvolvimento de Cultivares da Embrapa Milho e Sorgo (1167093, 1105653, 1099034, 1167048, 1236011, 1099044, 1168092, 1237030, 1169074, 1096019, 0729033, 1167053, 0843009, 1168093, 1238020, 1236020, 1170017, 1105661, 1169054, 1169092, 1167017 e 1167092) e três híbridos comerciais (1G244, DKB 550 e BRS 330). As características avaliadas foram: dias entre a semeadura e o emborrachamento massa de mil grãos e rendimento de grãos. Não houve diferença estatística para as características emborrachamento. Para a massa de mil grãos e produtividade verificou-se que os materiais mais produtivos foram: 1238020, 1169092, 1G244, 843009, 1236020, 1099034, 1167053, BRS330, 1105661, 1099044, 1105653, 1167017, 729033 e 1167093

Mapeamento e identificação de espécies florestais da trilha ecológica da andiroba.

A Embrapa Acre desenvolve o Programa Embrapa Escola, que tem como objetivo proporcionar a troca de conhecimento entre instituições de ensino públicas de nível fundamental e médio e pesquisadores da empresa. Um dos locais visitados pelos estudantes é a Trilha da Andiroba localizada em uma área de floresta densa para realização de pesquisas ecológicas com espécies nativas da floresta amazônica. O objetivo desse trabalho foi mapear espécies florestais e identificar pontos de interesse na Trilha da Andiroba para aperfeiçoamento das atividades de educação ambiental e difusão do conhecimento científico realizado no local

Integrated omic approaches reveal molecular mechanisms of tolerance during soybean and meloidogyne incognita interactions.

The root-knot nematode (RKN), Meloidogyne incognita, is a devastating soybean pathogen worldwide. The use of resistant cultivars is the most effective method to prevent economic losses caused by RKNs. To elucidate the mechanisms involved in resistance to RKN, we determined the proteome and transcriptome profiles from roots of susceptible (BRS133) and highly tolerant (PI595099) Glycine max genotypes 4, 12, and 30 days after RKN infestation. After in silico analysis, we described major defense molecules and mechanisms considered constitutive responses to nematodeinfestation, such as mTOR, PI3K-Akt, relaxin, and thermogenesis. The integrated data allowed us to identify protein families and metabolic pathways exclusively regulated in tolerant soybean genotypes. Among them, we highlighted the phenylpropanoid pathway as an early, robust, and systemic defense process capable of controlling M. incognita reproduction. Associated with this metabolic pathway, 29 differentially expressed genes encoding 11 different enzymes were identified, mainly from the flavonoid and derivative pathways. Based on differential expression in transcriptomic and proteomic data, as well as in the expression profile by RT?qPCR, and previous studies, we selected and overexpressed the GmPR10 gene in transgenic tobacco to assess its protective effect against M. incognita. Transgenic plants of the T2 generation showed up to 58% reduction in the M. incognita reproduction factor. Finally, data suggest that GmPR10 overexpression can be effective against the plant parasitic nematodeM. incognita, but its mechanism of action remains unclear. These findings will help develop new engineered soybean genotypes with higher performance in response to RKN infections

Determinant Factors of Dividend Payments in Brazil

This study identifies factors that shaped cash disbursement distribution policies employed by Brazilian public companies listed on the Brazilian Securities, Commodities and Futures Exchange (BM&FBOVESPA) from 1995 to 2011. Relationships between Dividends/Total Assets and potential determinants discussed in the literature, including firm size, corporate governance, profitability, leverage, market to book, liquidity, investment, risk, profit growth, information asymmetry and agency conflict, are examined. The following econometric methods are employed: (1) Tobit, given the nature of the dividend data, and (2) the Generalized Method of Moments (GMM) to control for endogenous regressors. Significant positive variables found include size, return on assets (ROA), market to book, liquidity and profit growth. It can thus be inferred that larger firm size, profitability, market value, liquidity and profit growth correlate with greater firm pro pensity to distribute money to shareholders, thus supporting the theory of corporate finance. Significant negative variables found include leverage, liquidity squared, capex, beta and tag along 100%. It is thus inferred that more significantly leveraged companies that invest more heavily in fixed assets and that exhibit high liquidity, higher risk and less conflict between controlling and minority shareholders will be less likely to pay dividends to shareholders.</p

Geolocation with respect to persona privacy for the Allergy Diary app - a MASK study

Background: Collecting data on the localization of users is a key issue for the MASK (Mobile Airways Sentinel network: the Allergy Diary) App. Data anonymization is a method of sanitization for privacy. The European Commission's Article 29 Working Party stated that geolocation information is personal data. To assess geolocation using the MASK method and to compare two anonymization methods in the MASK database to find an optimal privacy method. Methods: Geolocation was studied for all people who used the Allergy Diary App from December 2015 to November 2017 and who reported medical outcomes. Two different anonymization methods have been evaluated: Noise addition (randomization) and k-anonymity (generalization). Results: Ninety-three thousand one hundred and sixteen days of VAS were collected from 8535 users and 54,500 (58. 5%) were geolocalized, corresponding to 5428 users. Noise addition was found to be less accurate than k-anonymity using MASK data to protect the users' life privacy. Discussion: k-anonymity is an acceptable method for the anonymization of MASK data and results can be used for other databases.Peer reviewe