898 resultados para Jaupaci (GO)
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Here, we report the clean and facile synthesis of Pt and Pd nanoparticles decorated on reduced graphene oxide (rGO) by the simultaneous reduction of graphene oxide (GO) and the metal ions in Mg/acid medium. As-generated Pt and Pd nanoparticles serve as a heterogeneous catalyst for the further reduction of the rGO by the hydrogen spill-over process. The C/O ratio is much higher as compared to the rGO obtained by the reduction of GO by only Mg/acid. Overall, the process is rapid, facile and green that does not require any toxic chemical agent or any rigorous chemical reactions. We perform the catalytic reduction of 4-nitophenol (4-NP) to 4-aminophenol (4-AP) at room temperature by Pd@rGO and Pt@rGO. The reduction is complete within 35 s for Pd@rGO and 60 s for Pt@rGO when 50 mu g of hybrid catalyst is used for 0.5 ml of 1 mM of 4-NP. In case of ethanol oxidation, the current density for Pd@rGO is comparable to commercial Pt/C but is doubled for Pt@rGO. Overall, both structures show highly stable catalytic activity compared to commercial Pt/C. (C) 2014 Elsevier B.V. All rights reserved.
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A person walks along a line (which could be an idealisation of a forest trail, for example), placing relays as he walks, in order to create a multihop network for connecting a sensor at a point along the line to a sink at the start of the line. The potential placement points are equally spaced along the line, and at each such location the decision to place or not to place a relay is based on link quality measurements to the previously placed relays. The location of the sensor is unknown apriori, and is discovered as the deployment agent walks. In this paper, we extend our earlier work on this class of problems to include the objective of achieving a 2-connected multihop network. We propose a network cost objective that is additive over the deployed relays, and accounts for possible alternate routing over the multiple available paths. As in our earlier work, the problem is formulated as a Markov decision process. Placement algorithms are obtained for two source location models, which yield a discounted cost MDP and an average cost MDP. In each case we obtain structural results for an optimal policy, and perform a numerical study that provides insights into the advantages and disadvantages of multi-connectivity. We validate the results obtained from numerical study experimentally in a forest-like environment.
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A new method of selection of time-to-go (t(go)) for Generalized Vector Explicit Guidance (GENEX) law have been proposed in this paper. t(go) is known to be an important parameter in the control and cost function of GENEX guidance law. In this paper the formulation has been done to find an optimal value of t(go) that minimizes the performance cost. Mechanization of GENEX with this optimal t(go) reduces the lateral acceleration demand and consequently increases the range of the interceptor. This new formulation of computing t(go) comes in closed form and thus it can be implemented onboard. This new formulation is applied in the terminal phase of an surface-to-air interceptor for an angle constrained engagement. Results generated by simulation justify the use of optimal t(go).
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337 p.
"They Come, They Fish, and They Go:” EC Fisheries Agreements with Cape Verde and São Tomé e Príncipe
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Fisheries agreements with the European Community (EC) are an important component of the fisheries sector in Cape Verde and São Tomé e Príncipe, constituting today a key source of income for the respective fisheries administration. In spite of this, and of the fact that these agreements have been renewed several times over the past decades, challenges remain in domains such as control and communication of fishing activities, follow-up of financial counterparts, and integration of European fleets’ operations with the Cape Verdean and Santomean economies. This paper analyzes the EC fisheries agreements with Cape Verde and São Tomé e Príncipe in terms of those domains, considering both the contents of the agreements and their practical implementation. The fisheries sector in each of these countries is reviewed, as are some of the fundamentals and criticisms of EC fisheries agreements. It is argued that the agreements with Cape Verde and São Tomé e Príncipe will not live up to the stated objectives of sustainability and responsibility in fisheries until improvements are made to the control of EC vessels, the follow-up of funds paid by the EC, and the size and diversity of benefits accruing to the fisheries and related sectors in the two countries
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This paper describes how Bayesian updates of dialogue state can be used to build a bus information spoken dialogue system. The resulting system was deployed as part of the 2010 Spoken Dialogue Challenge. The purpose of this paper is to describe the system, and provide both simulated and human evaluations of its performance. In control tests by human users, the success rate of the system was 24.5% higher than the baseline Lets Go! system. ©2010 IEEE.
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训练两只猕猴进行延缓GO/NO-GO任务操作。猴坐在定制的猴椅中,正前方40cm处放着计算机显示器。显示器下方装有一压板。猴按压板0.5s后,显示器屏幕右下角或左下角出现一白色方块信号(1.5cm×1.5cm),持续0.5s。这一信号为暗示信号。暗示信号消失后,延缓0.0-4.0s,然后在显示器屏幕的下方正中处出现一红色方块信号(1.5cm×1.5cm)。这一信号为反应信号。如果暗示信号出现在右边,则要求猴在0.8s内放开一直按着的压板(GO反应);如果暗示信号出现在左边,则要求猴继续按住压板1.2s(NO-GO反应)。正确操作后,猴得到一滴水的奖励。在这一行为任务中,延缓期内的短时工作记忆是“非空间表象”(non-spatiallyrepresentatioal)短时工作记忆。前额叶皮层背外侧部(Walket46区、9区)内注射α2受体拮抗剂yohimbine(10μg/2μl)使猴的任务操作正确率下降。延缓期越长,下降的幅度越大。注射Yohimbine后,猴的操作错误率升高主要表现在“交叉”反应率升高,即应该作GO反应时作NO-GO反应,反之亦然。注射α1受体桔抗剂Prazosin(10μg/2μl)或
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在认知神经科学研究中,Go/NoGo模型是一种非常有效的研究方法。在本试验中,以两只猕猴为研究对象,采用Go/NoGo模型,以不同的视觉线索作为刺激来研究相关认知行为。结果表明猕猴能够很快学会Go/NoGo视觉分辨任务,而且对NoGo任务的完成要优于对Go任务的完成。本实验建立了一种有效的猕猴Go/NoGo视觉分辨实验的方法及计算机控制系统,为进一步记录神经元活动建立了良好的基础。
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The paper presents the outlooks and experiences of veteran shrimp farmers from Negros, west central Philippines after its collapse in the late 1980s due to the luminous bacteria.
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The article presents environment friendly aquaculture practices such as semi-intensive aquaculture, the culture of native species, the selection of proper sites for aquaculture facilities, the conduct of thorough, honest socioeconomic and ecological impact assessment before proceeding with the implementation, and the practice and promotion of proper pond/cage/tank preparation and management among others.
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BACKGROUND: After investing significant amounts of time and money in conducting formal risk assessments, such as root cause analysis (RCA) or failure mode and effects analysis (FMEA), healthcare workers are left to their own devices in generating high-quality risk control options. They often experience difficulty in doing so, and tend toward an overreliance on administrative controls (the weakest category in the hierarchy of risk controls). This has important implications for patient safety and the cost effectiveness of risk management operations. This paper describes a before and after pilot study of the Generating Options for Active Risk Control (GO-ARC) technique, a novel tool to improve the quality of the risk control options generation process. OUTCOME MEASURES: The quantity, quality (using the three-tiered hierarchy of risk controls), variety, and novelty of risk controls generated. RESULTS: Use of the GO-ARC technique was associated with improvement on all measures. CONCLUSIONS: While this pilot study has some notable limitations, it appears that the GO-ARC technique improved the risk control options generation process. Further research is needed to confirm this finding. It is also important to note that improved risk control options are a necessary, but not sufficient, step toward the implementation of more robust risk controls.
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O trabalho oferece instruções para a adoção de práticas de conservação do solo e da água, objetivando o controle de processos erosivos); e aplicação otimizada de defensivos agrícolas visando o controle de plantas daninhas, insetos e doenças, com proteção do aplicador e disposição correta das embalagens.