970 resultados para Productive routines


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The proprotein convertases (PCs) are a family of nine mammalian enzymes that play key roles in the maintenance of cell homeostasis by activating or inactivating proteins via limited proteolysis under temporal and spatial control. A wide range of pathogens, including major human pathogenic viruses can hijack cellular PCs for their own purposes. In particular, productive infection with many enveloped viruses critically depends on the processing of their fusion-active viral envelope glycoproteins by cellular PCs. Based on their crucial role in virus-host interaction, PCs can be important determinants for viral pathogenesis and represent promising targets of therapeutic antiviral intervention. In the present review we will cover basic aspects and recent developments of PC-mediated maturation of viral envelope glycoproteins of selected medically important viruses. The molecular mechanisms underlying the recognition of PCs by viral glycoproteins will be described, including recent findings demonstrating differential PC-recognition of viral and cellular substrates. We will further discuss a possible scenario how viruses during co-evolution with their hosts adapted their glycoproteins to modulate the activity of cellular PCs for their own benefit and discuss the consequences for virus-host interaction and pathogenesis. Particular attention will be given to past and current efforts to evaluate cellular PCs as targets for antiviral therapeutic intervention, with emphasis on emerging highly pathogenic viruses for which no efficacious drugs or vaccines are currently available.

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There has been increasing interest over past decade in exploring the possibility of using new biotechinology to produce new products and to improve the old productive process. The researches and applications of genetic engineering, cell fusion, mutagenesis, cell and enzyme immobilization in enzyme, antibiotic, vitamine, steroid, amino acid, organic acid, solvent, food and brewage industries is reviewed.

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Defining an efficient training set is one of the most delicate phases for the success of remote sensing image classification routines. The complexity of the problem, the limited temporal and financial resources, as well as the high intraclass variance can make an algorithm fail if it is trained with a suboptimal dataset. Active learning aims at building efficient training sets by iteratively improving the model performance through sampling. A user-defined heuristic ranks the unlabeled pixels according to a function of the uncertainty of their class membership and then the user is asked to provide labels for the most uncertain pixels. This paper reviews and tests the main families of active learning algorithms: committee, large margin, and posterior probability-based. For each of them, the most recent advances in the remote sensing community are discussed and some heuristics are detailed and tested. Several challenging remote sensing scenarios are considered, including very high spatial resolution and hyperspectral image classification. Finally, guidelines for choosing the good architecture are provided for new and/or unexperienced user.

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As is known, the Kyoto Protocol proposes to reinforce national policies for emission reduction and, furthermore, to cooperate with other contracting parties. In this context, it would be necessary to assess these emissions, both in general and specifically, by pollutants and/or among productive sectors. The object of this paper is precisely to estimate the polluting emissions of industrial origin in Catalonia in the year 2001, in a multivariate context which explicitly allows a distinction to be made between the polluter and/or the productive sector causing this emission. Six pollutants considered, four directly related to greenhouse effect. A multi-level model, with two levels, pollutants and productive sectors, was specified. Both technological progress and elasticity of capital were introduced as random effects. Hence, it has been permitted that these coefficients vary according to one or other level. The most important finding in this paper is that elasticity of capital has been estimated as very non-elastic, with a range which varies between 0.162 (the paper industry) and 0.556 (commerce). In fact, and generally speaking, the greater capital the sector has, the less elasticity of capital has been estimated. Key words: Kyoto protocol, multilevel model, technological progress

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Drug delivery is one of the most common clinical routines in hospitals, and is critical to patients' health and recovery. It includes a decision making process in which a medical doctor decides the amount (dose) and frequency (dose interval) on the basis of a set of available patients' feature data and the doctor's clinical experience (a priori adaptation). This process can be computerized in order to make the prescription procedure in a fast, objective, inexpensive, non-invasive and accurate way. This paper proposes a Drug Administration Decision Support System (DADSS) to help clinicians/patients with the initial dose computing. The system is based on a Support Vector Machine (SVM) algorithm for estimation of the potential drug concentration in the blood of a patient, from which a best combination of dose and dose interval is selected at the level of a DSS. The addition of the RANdom SAmple Consensus (RANSAC) technique enhances the prediction accuracy by selecting inliers for SVM modeling. Experiments are performed for the drug imatinib case study which shows more than 40% improvement in the prediction accuracy compared with previous works. An important extension to the patient features' data is also proposed in this paper.

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Hemorrhagic fevers caused by arenaviruses are among the most devastating emerging human diseases. Considering the number of individuals affected, the current lack of a licensed vaccine, and the limited therapeutic options, arenaviruses are arguably among the most neglected tropical pathogens and the development of efficacious anti-arenaviral drugs is of high priority. Over the past years significant efforts have been undertaken to identify novel potent inhibitors of arenavirus infection. High throughput screening of small molecule libraries employing pseudotype platforms led to the discovery of several potent and broadly active inhibitors of arenavirus cell entry that are effective against the major hemorrhagic arenaviruses. Mechanistic studies revealed that these novel entry inhibitors block arenavirus membrane fusion and provided novel insights into the unusual mechanism of this process. The success of these approaches highlights the power of small molecule screens in antiviral drug discovery and establishes arenavirus membrane fusion as a robust drug target. These broad screenings have been complemented by strategies targeting cellular factors involved in productive arenavirus infection. Approaches targeting the cellular protease implicated in maturation of the fusion-active viral envelope glycoprotein identified the proteolytic processing of the arenavirus glycoprotein precursor as a novel and promising target for anti-arenaviral strategies.

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Creative industries tend to concentrate mainly around large- and medium-sized cities, forming creative local production systems. The text analyses the forces behind clustering of creative industries to provide the first empirical explanation of the determinants of creative employment clustering following a multidisciplinary approach based on cultural and creative economics, evolutionary geography and urban economics. A comparative analysis has been performed for Italy and Spain. The results show different patterns of creative employment clustering in both countries. The small role of historical and cultural endowments, the size of the place, the average size of creative industries, the productive diversity and the concentration of human capital and creative class have been found as common factors of clustering in both countries.

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Ghosh's model is discussed in this paper under two alternative scenarios. In an open version we compare it with Leontief's model and prove that they reduce to each other under some specific productive conditions. We then move onto reconsidering Ghosh's model alleged implausibility and we do so reformulating the model to incorporate a closure rule. The closure solves, to some extent, the implausibility problem very clearly put out by Oosterhaven for then value-added is correctly computed and responsive to allocation changes resulting from supply shocks.

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The availability of rich firm-level data sets has recently led researchers to uncover new evidence on the effects of trade liberalization. First, trade openness forces the least productive firms to exit the market. Secondly, it induces surviving firms to increase their innovation efforts and thirdly, it increases the degree of product market competition. In this paper we propose a model aimed at providing a coherent interpretation of these findings. We introducing firm heterogeneity into an innovation-driven growth model, where incumbent firms operating in oligopolistic industries perform cost-reducing innovations. In this framework, trade liberalization leads to higher product market competition, lower markups and higher quantity produced. These changes in markups and quantities, in turn, promote innovation and productivity growth through a direct competition effect, based on the increase in the size of the market, and a selection effect, produced by the reallocation of resources towards more productive firms. Calibrated to match US aggregate and firm-level statistics, the model predicts that a 10 percent reduction in variable trade costs reduces markups by 1:15 percent, firm surviving probabilities by 1 percent, and induces an increase in productivity growth of about 13 percent. More than 90 percent of the trade-induced growth increase can be attributed to the selection effect.

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Much of the self-image of the Western university hangs on the idea that research and teaching are intimately connected. The central axiom here is that research and teaching are mutually supportive of each other. An institution lacking such a set of relationships between research and teaching falls short of what it means to be a university. This set of beliefs raises certain questions: Is it the case that the presence of such a mutually supportive set of relationships between research and teaching is a necessary condition of the fulfilment of the idea of the university? (A conceptual question). And is it true that, in practice today, such a mutually supportive set of relationships between research and teaching characterises universities? (An empirical question). In my talk, I want to explore these matters in a critical vein. I shall suggest that: a) In practice today, such a mutually supportive set of relationships between research and teaching is in jeopardy. Far from supporting each other, very often research and teaching contend against each other. Research and teaching are becoming two separate ideologies, with their own interest structures. b) Historically, the supposed tight link between research and teaching is both of recent origin and far from universally achieved in universities. Institutional separateness between research and teaching is and has been evident, both across institutions and even across departments in the same institution. c) Conceptually, research and teaching are different activities: each is complex and neither is reducible to the other. In theory, therefore, research and teaching may be said to constitute a holy alliance but in practice, we see more of an unholy alliance. If, then, in an ideal world, a positive relationship between research and teaching is still a worthwhile goal, how might it be construed and worked for? Seeing research and teaching as two discrete and unified sets of activity is now inadequate. Much better is a construal of research and teaching as themselves complexes, as intermingling pools of activity helping to form the liquid university that is emerging today. On this view, research and teaching are fluid spaces, ever on the move, taking up new shapes, and themselves dividing and reforming, as the university reworks its own destiny in modern society. On such a perspective, working out a productive relationship between research and teaching is a complex project. This is an alliance that is neither holy nor unholy. It is an uneasy alliance, with temporary accommodations and continuous new possibilities.

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L’objectiu del present estudi és comparar els vectors de superfície, consum energètic i integració en el medi entre 2 tipus d’instal·lacions EDAR al municipi de Begues; una ja existent amb tractament secundari i terciari mitjançant un reactor biològic i una potencial amb tractament secundari i terciari mitjançant aiguamolls construïts. La finalitat del projecte és determinar, gràcies a l’estudi dels principals vectors ambientals de la infraestructura i a altres estudiats per en Jordi Gómez Castillo, quina de les 2 tipologies d’instal·lació s’ajusta més al territori i a les necessitats de tractament de les aigües del mateix. Els resultats de la investigació indiquen que els aiguamolls construïts fan un ús més productiu del sòl però ocupen l’espai de reserva disponible amb el sistema de reactor biològic. A més, consumeixen 50kWh/dia menys que l’altra instal·lació, fet que implica un 7% menys d’emissions de CO2 anuals. Finalment, tenen una millor integració en el medi i proporcionen uns beneficis auxiliars afegits. Amb el projecte d’en Jordi Gómez Castillo, les conclusions que es poden establir en referència a la decisió d’instal·lar una depuradora o una altra indiquen que l’EDAR sense aiguamolls té més probabilitat de ser escollida com la més adient per les necessitats del territori d’estudi.

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En el present estudi s’han analitzat quines són les fonts energètiques utilitzades a les llars de Haër, així com les repercussions que aquestes tenen sobre el medi natural i socioeconòmic de les famílies. Per tal de poder identificar quines són aquestes fonts i els seus efectes, s’ha realitzat un inventari i una diagnosi energètica. S’ha estudiat l’ús de l’energia en dos àmbits domèstics principals: la il·luminació i el cuinat, analitzant la freqüència d’ús i quantificant el consum energètic familiar. Les fonts energètiques detectades són: llenya, carbó, gas, querosè, piles i espelmes, de les quals, la llenya, el querosè i el carbó són les majoritàriament utilitzades. El consum energètic per càpita és de 2.100 kWh/any. Per altra banda, l’obtenció d’algunes d’aquestes fonts energètiques, suposen un cost econòmic molt elevat per les economies familiars, arribant a suposar un 60% dels ingressos. A partir de les dades obtingudes a la diagnosi, s’ha aplicat un indicador per tal de quantificar la magnitud de l’impacte sobre el medi produït pel model energètic seguit dins de les llars. L’indicador estudiat ha estat la petjada energètica, amb la qual s’ha traduït aquest consum en unitats de superfície biològicament productiva, requerida per absorbir el CO2 emès. El resultat ha estat que una persona produeix anualment 2,09·10-2 tCO2, que requereix de 7,53·10-3 gha/persona de superfície forestal per ser absorbides. S’ha comparat aquest resultat amb la petjada energètica domèstica calculada pel poble d’Araós, el qual, amb un model energètic totalment diferent, té una petjada energètica de 1,53 gha/persona. Un cop detectats els problemes o impactes causats pel model energètic actual, es proposa una alternativa energètica per tal de reemplaçar algunes fonts convencionals, principalment el querosè dels quinqués. Així doncs, mitjançant l’aprofitament de l’energia solar, es plantegen dos models fotovoltaics adaptats a dues tipologies de llars diferents, amb l’objectiu de minimitzar el cost i optimitzar els recursos energètics. Finalment es planteja una solució financera per abordar el cost inicial de la instal·lació solar.

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La validació de mètodes és un dels pilars fonamentals de l’assegurament de la qualitat en els laboratoris d’anàlisi, tal i com queda reflectit en la norma ISO/IEC 17025. És, per tant, un aspecte que cal abordar en els plans d’estudis dels presents i dels futurs graus en Química. Existeix molta bibliografia relativa a la validació de mètodes, però molt sovint aquesta s’utilitza poc, degut a la dificultat manifesta de processar tota la informació disponible i aplicar-la al laboratori i als problemes concrets. Una altra de les limitacions en aquest camps és la manca de programaris adaptats a les necessitats del laboratori. Moltes de les rutines estadístiques que es fan servir en la validació de mètodes són adaptacions fetes amb Microsoft Excel o venen incorporades en paquets estadístics gegants, amb un alt grau de complexitat. És per aquest motiu que l’objectiu del projecte ha estat generar un programari per la validació de mètodes i l’assegurament de la qualitat dels resultats analítics, que incorporés únicament les rutines necessàries. Específicament, el programari incorpora les funcions estadístiques necessàries per a verificar l’exactitud i avaluar la precisió d’un mètode analític. El llenguatge de programació triat ha estat el Java en la seva versió 6. La part de creació del programari ha constat de les següents etapes: recollida de requisits, anàlisi dels requisits, disseny del programari en mòduls, programació d les funcions del programa i de la interfície gràfica, creació de tests d’integració i prova amb usuaris reals, i, finalment, la posada en funcionament del programari (creació de l’instal·lador i distribució del programari).

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The undisputed, worldwide success of chemotherapy notwithstanding, schistosomiasis continues to defy control efforts in as much rapid reinfection demands repeated treatment, sometimes as often as once a year. There is thus a need for a complementary tool with effect for the longer term, notably a vaccine. International efforts in this direction have been ongoing for several decades but, until the recombinant DNA techniques were introduced, antigen production remained an unsurmountable bottleneck. Although animal experiments have been highly productive and are still much needed, they probably do not reflect the human situation adequately and real progress can not be expected until more is known about human immune responses to schistosome infection. It is well-known that irradiated cercariae consistently produce high levels of protection in experimental animals but, for various reasons, this proof of principle cannot be directly exploited. Research has instead been focussed on the identification and testing of specific schistosome antigens. This work has been quite successful and is already at the stage where clinical trials are called for. Preliminary results from coordinated in vitro laboratory and field epidemiological studies regarding the protective potential of several antigens support the initiation of such trials. A series of meetings, organized earlier this year in Cairo, Egypt, reviewed recent progress, selecteded suitable vaccine candidates and made firm recommendations for future action including pledging support for large-scale production according to good manufacturing practice (GMP) and Phase I trials. Scientists at the American Centers for Disease Control and Prevention (CDC) have drawn up a detailed research plan. The major financial support will come from USAID, Cairo, which has established a scientific advisory group of Egyptian scientists and representatives from current and previous international donors such as WHO, NIAID, the European Union and the Edna McConnell Clark Foundation.

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The authors present morphogenetic and biomechanical approaches on the concept of the Schistosoma mansoni granulomas, considering them as organoid structures that depend on cellular adhesion and sorting, forming rearrangement into hierarchical concentric layers, creating tension-dependent structures, aiming to acquire round form, since this is the minimal energy form, in which opposing forces pull in equally from all directions and are in balance. From the morphogenetic point of view, the granulomas function as little organs, presenting maturative and involutional stages in their development with final disappearance (pre-granulomatous stages, subdivided in: weakly and/or initial reactive and exudative; granulomatous stages: exudative-productive, productive and involutional). A model for the development of granulomas was suggested, according to the following stages: encapsulating, focal histolysis, fiber production, orientation and compacting and involution and desintegration. The authors concluded that schistosomal granuloma is not a tangled web of individual cells and fibers, but an organized structure composed by host and parasite components, which is not formed to attack the miracidia, but functions as an hybrid interface between two different phylogenetic beings.