A new genus and two new species of Pudeoniscidae Lemos de Castro 1973 (Crustacea: Isopoda: Oniscidea) from Brazil

To date, the family Pudeoniscidae includes six species and three genera, Pudeoniscus, Brasiloniscus and Iansaoniscus, with distributions restricted to Brazil. Here, we redefine the family Pudeoniscidae based on the discovery of a new genus and two new species, Oxossioniscus pataxo sp. nov. and Oxossioniscus akoko sp. nov., from the Brazilian Atlantic forest in the state of Bahia, and on the examination of Pudeoniscus birabeni and Pudeoniscus obscurus. Moreover, P. obscurus is re-described and new records are provided for P. birabeni.

http://www.zoobank.org/urn:lsid:zoobank.org:pub:A0123730-C623-49CE-8665-AE17FDDF994A.     

Probability distributions,trading strategies and leverage: an application of Gaussian mixture models

The purpose of this paper is twofold. Firstly, to assess the merit of estimating probability density functions rather than level or classification estimations on a one‐day‐ahead forecasting task of the EUR/USD time series. This is implemented using a Gaussian mixture model neural network, benchmarking the results against standard forecasting models, namely a naïve model, a moving average convergence divergence technical model (MACD), an autoregressive moving average model (ARMA), a logistic regression model (LOGIT) and a multi‐layer perceptron network (MLP). Secondly, to examine the possibilities of improving the trading performance of those models with confirmation filters and leverage. While the benchmark models perform best without confirmation filters and leverage, the Gaussian mixture model outperforms all of the benchmarks when taking advantage of the possibilities offered by a combination of more sophisticated trading strategies and leverage. This might be due to the ability of the Gaussian mixture model to identify successfully trades with a high Sharpe ratio. Copyright © 2004 John Wiley & Sons, Ltd.     

Mesenchymal stem cells secretome: a new paradigm for central nervous system regeneration?

The low regeneration potential of the central nervous system (CNS) represents a challenge for the development of new therapeutic strategies. Mesenchymal stem cells (MSCs) have been proposed as a possible therapeutic tool for CNS disorders. In addition to their differentiation potential, it is well accepted nowadays that their beneficial actions can also be mediated by their secretome. Indeed, it was already demonstrated, both in vitro and in vivo, that MSCs are able to secrete a broad range of neuroregulatory factors that promote an increase in neurogenesis, inhibition of apoptosis and glial scar formation, immunomodulation, angiogenesis, neuronal and glial cell survival, as well as relevant neuroprotective actions on different pathophysiological contexts. Considering their protective action in lesioned sites, MSCs’ secretome might also improve the integration of local progenitor cells in neuroregeneration processes, opening a door for their future use as therapeutical strategies in human clinical trials. Thus, in this review we analyze the current understanding of MSCs secretome as a new paradigm for the treatment of CNS neurodegenerative diseases.     

FCGR3B copy number variation is associated with susceptibility to systemic, but not organ-specific, autoimmunity

Naturally occurring variation in gene copy number is increasingly recognized as a heritable source of susceptibility to genetically complex diseases. Here we report strong association between FCGR3B copy number and risk of systemic lupus erythematosus (P = 2.7 x 10(-8)), microscopic polyangiitis (P = 2.9 x 10(-4)) and Wegener's granulomatosis in two independent cohorts from the UK (P = 3 x 10(-3)) and France (P = 1.1 x 10(-4)). We did not observe this association in the organ-specific Graves' disease or Addison's disease. Our findings suggest that low FCGR3B copy number, and in particular complete FCGR3B deficiency, has a key role in the development of systemic autoimmunity.     

不同结构和形态的天然镁硅酸盐:与K反应制备生物柴油的K2MgSiO4催化剂

In this work, different magnesium silicate mineral samples based on antigorite, lizardite, chrysotile (which have the same general formula Mg₃Si₂O₅(OH)₄), and talc (Mg₃Si₄O₁₀(OH)₂) were reacted with KOH to prepare catalysts for biodiesel production. Simple impregnation with 20wt% K and treatment at 700–900°C led to a solid-state reaction to mainly form the K₂MgSiO₄ phase in all samples. These results indicate that the K ion can diffuse into the different Mg silicate structures and textures, likely through intercalation in the interlayer space of the different mineral samples followed by dehydroxylation and K₂MgSiO₄ formation. All the materials showed catalytic activity for the transesterification of soybean oil (1:6 of oil : methanol molar ratio, 5wt% of catalyst, 60°C). However, the best results were obtained for the antigorite and chrysotile precursors, which are discussed in terms of mineral structure and the more efficient formation of the active phase K₂MgSiO₄.     

集成电路电磁适应性的时钟信号调制

电磁干扰(EMI)是瞬时功能故障的主要来源之一,原因是电源供电线上的噪声注入引起了VDD和GND的额定值的波动.介绍了一种新的方法来增强片上系统(SoC)关于电源和接地电压瞬变时的信号完整性,并且这种方法完全符合IEC 61000-4-29 标准.其基本思想是设计和IEC 61000-4-29兼容的集成电路,通过局部和动态地将时钟占空比去适应传播延迟的变化和扰动的逻辑路径.当无法满足时,该方法导致暂时把集成电路的工作频率减小到满足该标准的最小值.根据异常电网活动,时钟占空比调制(CDCM)是通过使用正和/或负边沿时钟展宽逻辑(CSL)块来实现的.基于这个概念,在尽可能保持时钟高速频率的同时,数字电路对于电源供电线上波动的耐受性将会更强.该方法可被视作一种在线提供动态自适应同步的监视技术.通过SPICE模拟,实验结果表明此方法的有效性.