992 resultados para Evolution strategy


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This work highlights opportunities and obstacles to success in four task forces typically found at different times in states of conflict, transition, and development. They include: refugee return, media issues, privatization of state-owned enterprises, and efforts to promote business development. Based on over 180 in-depth interviews and observations of dozens of meetings during five lengthy field research trips to the Bosnian region between 1999 and 2005, this manuscript analyzes how these four task forces differed in terms of context, strategy, organization, and management in an attempt to understand the co-evolution of international development needs and the interorganizational forms that address them.

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The stomachs of most vertebrates operate at an acidic pH of 2 generated by the gastric H+/K+-ATPase located in parietal cells. The acidic pH in stomachs of vertebrates is believed to aid digestion and to protect against environmental pathogens. Little attention has been placed on whether acidic gastric pH regulation is a vertebrate character or a deuterostome ancestral trait. Here, we report alkaline conditions up to pH 10.5 in the larval digestive systems of ambulacraria (echinoderm + hemichordate), the closest relative of the chordate. Microelectrode measurements in combination with specific inhibitors for acid-base transporters and ion pumps demonstrated that the gastric alkalization machinery in sea urchin larvae is mainly based on direct H+ secretion from the stomach lumen and involves a conserved set of ion pumps and transporters. Hemichordate larvae additionally utilized HCO3- transport pathways to generate even more alkaline digestive conditions. Molecular analyses in combination with acidification experiments supported these findings and identified genes coding for ion pumps energizing gastric alkalization. Given that insect larval guts were also reported to be alkaline, our discovery raises the hypothesis that the bilaterian ancestor utilized alkaline digestive system while the vertebrate lineage has evolved a strategy to strongly acidify their stomachs.

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In transgenic and nontransgenic plants, viruses are both initiators and targets of a defense mechanism that is similar to posttranscriptional gene silencing (PTGS). Recently, it was found that potyviruses and cucumoviruses encode pathogenicity determinants that suppress this defense mechanism. Here, we test diverse virus types for the ability to suppress PTGS. Nicotiana benthamiana exhibiting PTGS of a green fluorescent protein transgene were infected with a range of unrelated viruses and various potato virus X vectors producing viral pathogenicity factors. Upon infection, suppression of PTGS was assessed in planta through reactivation of green fluorescence and confirmed by molecular analysis. These experiments led to the identification of three suppressors of PTGS and showed that suppression of PTGS is widely used as a counter-defense strategy by DNA and RNA viruses. However, the spatial pattern and degree of suppression varied extensively between viruses. At one extreme, there are viruses that suppress in all tissues of all infected leaves, whereas others are able to suppress only in the veins of new emerging leaves. This variation existed even between closely related members of the potexvirus group. Collectively, these results suggest that virus-encoded suppressors of gene silencing have distinct modes of action, are targeted against distinct components of the host gene-silencing machinery, and that there is dynamic evolution of the host and viral components associated with the gene-silencing mechanism.

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A basic evolutionary problem posed by the Iterated Prisoner’s Dilemma game is to understand when the paradigmatic cooperative strategy Tit-for-Tat can invade a population of pure defectors. Deterministically, this is impossible. We consider the role of demographic stochasticity by embedding the Iterated Prisoner’s Dilemma into a population dynamic framework. Tit-for-Tat can invade a population of defectors when their dynamics exhibit short episodes of high population densities with subsequent crashes and long low density periods with strong genetic drift. Such dynamics tend to have reddened power spectra and temporal distributions of population size that are asymmetric and skewed toward low densities. The results indicate that ecological dynamics are important for evolutionary shifts between adaptive peaks.

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T cell receptors (TCRs) exhibit genetic and structural diversity similar to antibodies, but they have binding affinities that are several orders of magnitude lower. It has been suggested that TCRs undergo selection in vivo to maintain lower affinities. Here, we show that there is not an inherent genetic or structural limitation on higher affinity. Higher-affinity TCR variants were generated in the absence of in vivo selective pressures by using yeast display and selection from a library of Vα CDR3 mutants. Selected mutants had greater than 100-fold higher affinity (KD ≈ 9 nM) for the peptide/MHC ligand while retaining a high degree of peptide specificity. Among the high-affinity TCR mutants, a strong preference was found for CDR3α that contained Pro or Gly residues. Finally, unlike the wild-type TCR, a soluble monomeric form of a high-affinity TCR was capable of directly detecting peptide/MHC complexes on antigen-presenting cells. These findings prove that affinity maturation of TCRs is possible and suggest a strategy for engineering TCRs that can be used in targeting specific peptide/MHC complexes for diagnostic and therapeutic purposes.

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In many species, young solicit food from their parents, which respond by feeding them. Because of the difference in genetic make-up between parents and their offspring and the consequent conflict, this interaction is often studied as a paradigm for the evolution of communication. Existent theoretical models demonstrate that chick signaling and parent responding can be stable if solicitation is a costly signal. The marginal cost of producing stronger signals allows the system to converge to an equilibrium: young beg with intensity that reflects their need, and parents use this information to maximize their own inclusive fitness. However, we show that there is another equilibrium where chicks do not beg and parents’ provisioning effort is optimal with respect to the statistically probable distribution of chicks’ states. Expected fitness for parents and offspring at the nonsignaling equilibrium is higher than at the signaling equilibrium. Because nonsignaling is stable and it is likely to be the ancestral condition, we would like to know how natural systems evolved from nonsignaling to signaling. We suggest that begging may have evolved through direct sibling fighting before the establishment of a parental response, that is, that nonsignaling squabbling leads to signaling. In multiple-offspring broods, young following a condition-dependent strategy in the contest for resources provide information about their condition. Parents can use this information even though it is not an adaptation for communication, and evolution will lead the system to the signaling equilibrium. This interpretation implies that signaling evolved in multiple-offspring broods, but given that signaling is evolutionarily stable, it would also be favored in species which secondarily evolved single-chick broods.

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We introduce a computational method to optimize the in vitro evolution of proteins. Simulating evolution with a simple model that statistically describes the fitness landscape, we find that beneficial mutations tend to occur at amino acid positions that are tolerant to substitutions, in the limit of small libraries and low mutation rates. We transform this observation into a design strategy by applying mean-field theory to a structure-based computational model to calculate each residue's structural tolerance. Thermostabilizing and activity-increasing mutations accumulated during the experimental directed evolution of subtilisin E and T4 lysozyme are strongly directed to sites identified by using this computational approach. This method can be used to predict positions where mutations are likely to lead to improvement of specific protein properties.

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We describe compartmentalized self-replication (CSR), a strategy for the directed evolution of enzymes, especially polymerases. CSR is based on a simple feedback loop consisting of a polymerase that replicates only its own encoding gene. Compartmentalization serves to isolate individual self-replication reactions from each other. In such a system, adaptive gains directly (and proportionally) translate into genetic amplification of the encoding gene. CSR has applications in the evolution of polymerases with novel and useful properties. By using three cycles of CSR, we obtained variants of Taq DNA polymerase with 11-fold higher thermostability than the wild-type enzyme or with a >130-fold increased resistance to the potent inhibitor heparin. Insertion of an extra stage into the CSR cycle before the polymerase reaction allows its application to enzymes other than polymerases. We show that nucleoside diphosphate kinase and Taq polymerase can form such a cooperative CSR cycle based on reciprocal catalysis, whereby nucleoside diphosphate kinase produces the substrates required for the replication of its own gene. We also find that in CSR the polymerase genes themselves evolve toward more efficient replication. Thus, polymerase genes and their encoded polypeptides cooperate to maximize postselection copy number. CSR should prove useful for the directed evolution of enzymes, particularly DNA or RNA polymerases, as well as for the design and study of in vitro self-replicating systems mimicking prebiotic evolution and viral replication.

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It has been suggested that recombination and shuffling between exons has been a key feature in the evolution of proteins. We propose that this strategy could also be used for the artificial evolution of proteins in bacteria. As a first step, we illustrate the use of a self-splicing group I intron with inserted lox-Cre recombination site to assemble a very large combinatorial repertoire (> 10(11) members) of peptides from two different exons. Each exon comprised a repertoire of 10 random amino acids residues; after splicing, the repertoires were joined together through a central five-residue spacer to give a combinatorial repertoire of 25-residue peptides. The repertoire was displayed on filamentous bacteriophage by fusion to the pIII phage coat protein and selected by binding to several proteins, including beta-glucuronidase. One of the peptides selected against beta-glucuronidase was chemically synthesized and shown to inhibit the enzymatic activity (inhibition constant: 17 nM); by further exon shuffling, an improved inhibitor was isolated (inhibition constant: 7 nM). Not only does this approach provide the means for making very large peptide repertoires, but we anticipate that by introducing constraints in the sequences of the peptides and of the linker, it may be possible to evolve small folded peptides and proteins.

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Glutathione S-transferases (EC 2.5.1.18) in mammalian cells catalyze the conjugation, and thus, the detoxication of a structurally diverse group of electrophilic environmental carcinogens and alkylating drugs, including the antineoplastic nitrogen mustards. We proposed that structural alteration of the nonspecific electrophile-binding site would produce mutant enzymes with increased efficiency for detoxication of a single drug and that these mutants could serve as useful somatic transgenes to protect healthy human cells against single alkylating agents used in cancer chemotherapy protocols. Random mutagenesis of three regions (residues 9-14, 102-112, and 210-220), which together compose the glutathione S-transferase electrophile-binding site, followed by selection of Escherichia coli expressing the enzyme library with the nitrogen mustard mechlorethamine (20-500 microM), yielded mutant enzymes that showed significant improvement in catalytic efficiency for mechlorethamine conjugation (up to 15-fold increase in kcat and up to 6-fold increase in kcat/Km) and that confer up to 31-fold resistance, which is 9-fold greater drug resistance than that conferred by the wild-type enzyme. The results suggest a general strategy for modification of drug- and carcinogen-metabolizing enzymes to achieve desired resistance in both prokaryotic and eukaryotic plant and animal cells.

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Online education is no longer a trend, rather it is mainstream. In the Fall of 2012, 69.1% of chief academic leaders indicated online learning was critical to their long-term strategy and of the 20.6 million students enrolled in higher education, 6.7 million were enrolled in an online course (Allen & Seaman, 2013; United States Department of Education, 2013). The advent of online education and its rapid growth has forced academic institutions and faculty to question the current styles and techniques for teaching and learning. As developments in educational technology continue to advance, the ways in which we deliver and receive knowledge in both the traditional and online classrooms will further evolve. It is necessary to investigate and understand the progression and advancements in educational technology and the variety of methods used to deliver knowledge to improve the quality of education we provide today and motivate, inspire, and educate the students of the 21st century. This paper explores the atioevolution of distance education beginning with correspondence and the use of parcel post, to radio, then to television, and finally to online education.

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In this letter, a new approach for crop phenology estimation with remote sensing is presented. The proposed methodology is aimed to exploit tools from a dynamical system context. From a temporal sequence of images, a geometrical model is derived, which allows us to translate this temporal domain into the estimation problem. The evolution model in state space is obtained through dimensional reduction by a principal component analysis, defining the state variables, of the observations. Then, estimation is achieved by combining the generated model with actual samples in an optimal way using a Kalman filter. As a proof of concept, an example with results obtained with this approach over rice fields by exploiting stacks of TerraSAR-X dual polarization images is shown.

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Summary. Energy saving has been a stated policy objective of the EU since the 1970s. Presently, the 2020 target is a 20% reduction of EU energy consumption in comparison with current projections for 2020. This is one of the headline targets of the European Energy Strategy 2020 but efforts to achieve it remain slow and insufficient. The aim of this paper is to understand why this is happening. Firstly, this paper examines the reasons why public measures promoting energy efficiency are needed and what form these measures should optimally take (§ 1). Fortunately, over the last 20 years, much research has been done into the famous ‘energy efficiency gap’ (or ‘the energy efficiency paradox’), even if more remains to be done. Multiple explanations have been given: market failures, modelling flaws and behavioural obstacles. Each encompasses many complex aspects. Several types of instruments can be adopted to encourage energy efficiency: measures guaranteeing the correct pricing of energy are preferred, followed by taxes or tradable white certificates which in turn are preferred to standards or subsidies. Information programmes are also necessary. Secondly, the paper analyzes the evolution of the different programmes from 2000 onwards (§ 2). This reveals the extreme complexity of the subject. It deals with quite diverse topics: buildings, appliances, public sector, industry and transport. The market for energy efficiency is as diffuse as energy consumption patterns themselves. It is composed of many market actors who demand more efficient provision of energy services, and that suppliers of the necessary goods and know-how deliver this greater efficiency. Consumers in this market include individuals, businesses and governments, and market activities cover all energy-consuming sectors of the economy. Additionally, energy efficiency is the perfect example of a shared competence between the EU and the Member States. Lastly, the legal framework has steadily increased in complexity, and despite the successive energy efficiency programmes used to build this framework, it has become clear that the gap between the target and the results remains. The paper then examines whether the 2012/27/EU Directive adopted to improve the situation could bring better results. It briefly describes the content of this framework Directive, which accompanies and implements the latest energy efficiency programme (§ 3). Although the Directive is technically complex and maintains nonbinding energy efficiency targets, it certainly represents an improvement in several aspects. However, it is also saddled with a multiplicity of exemption clauses and interpretative documents (with no binding value) which weaken its provisions. Furthermore, alone, it will allow the achievement of only about 17.7% of final energy savings by 2020. The implementation process, which is essential, also remains fairly weak. The paper also gives a glimpse of the various EU instruments for financing energy efficiency projects (§ 4). Though useful, they do not indicate a strong priority. Fourthly, the paper tries to analyze the EU’s limited progress so far and gather a few suggestions for improvement. One thing seems to remain useful: targets which can be defined in various ways (§ 5). Basically, all this indicates that the EU energy efficiency strategy has so far failed to reach its targets, lacks coherence and remains ambiguous. In the new Commission’s proposals of 22 January 2014 – intended to define a new climate/energy package in the period from 2020 to 2030 – the approach to energy efficiency remains unclear. This is regrettable. Energy efficiency is the only instrument which allows the EU to reach simultaneously its three targets: sustainability, competitiveness and security. The final conclusion appears thus paradoxical. On the one hand, all existing studies indicate that the decarbonization of the EU economy will be absolutely impossible without some very serious improvements in energy efficiency. On the other hand, in reality energy efficiency has always been treated as a second zone priority. It is imperative to eliminate this contradiction.

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After years of unchallenged commercial domination of a sizeable portion of the EU's gas market, Gazprom is confronted with a statement of objections issued on 22 April by the EU Commission for abusing its dominant market position. The company was already prevented from going ahead with its South Stream project aimed at consolidating Gazprom's grip on Southeast Europe's markets by bypassing Ukraine – due to alleged non-compliance of intergovernmental agreements with the EU regulatory framework. Furthermore, it walked away from negotiations that could have allowed it to access more than 50% of the OPAL pipeline – an onshore branch of the offshore Russian German Nord Stream pipeline –, whilst its attempts to go downstream through the acquisition of European distribution and transmission operators, such as Wingas and DESFA, failed due to current political tensions and the risk of a negative Commission ruling on the operation. Does this mean that the Russian gas behemoth – so often portrayed as the energy arm of the Kremlin – is not so powerful after all? This Policy Brief aims to frame the erosion of Gazprom's power in a wider perspective, analysing its peculiar position at a time of transition, with the global gas business going from a sellers' to a buyers' market, and providing recommendations on how Europe should deal with it. It will be argued that Gazprom – despite still being affected by the Kremlin's political priorities – is moving towards more commercially sound behavior. The EU should profit from this evolution without being tempted by mercantilist options, and rather use the political momentum provided by the energy union to remove barriers to solidarity and to increase competition on the trading platforms.

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Model transformations are an integral part of model-driven development. Incremental updates are a key execution scenario for transformations in model-based systems, and are especially important for the evolution of such systems. This paper presents a strategy for the incremental maintenance of declarative, rule-based transformation executions. The strategy involves recording dependencies of the transformation execution on information from source models and from the transformation definition. Changes to the source models or the transformation itself can then be directly mapped to their effects on transformation execution, allowing changes to target models to be computed efficiently. This particular approach has many benefits. It supports changes to both source models and transformation definitions, it can be applied to incomplete transformation executions, and a priori knowledge of volatility can be used to further increase the efficiency of change propagation.