912 resultados para Productive pedagogies
Resumo:
Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.
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Tämän diplomityön tavoitteena oli tutkia, miten UPM:n Kymin tehtaan A4- arkittamon kunnossapitotoimintaa pystyttäisiin kehittämään niin, että tuotantolaitoksen kokonaistehokkuutta saataisiin kasvatettua. Työssä on pohdittu keinoja nykyisen, pääasiallisesti korjaavan kunnossapitotoiminnan muuttamiseksi suunnitelmalliseksi eri teorialähtökohtien pohjalta. Keskeinen teoria, johon työn tulokset pohjautuvat, on kokonaisvaltainen tuottava kunnossapito (TPM). Kirjallisuuslähteisiin tukeutuvaa tutkimusta täydensivät useat haastattelut, A4-valmistajille suunnattu laitteiden kuntokartoituskysely ja tuotannon- ja toiminnanohjausjärjestelmistä kerätty mittausaineisto. Työn merkittävimmät tulokset osoittavat, että A4-arkittamon kunnossapitotoimintaa tulisi suunnata nykyistä enemmän käyttökunnossapitolähtöiseksi. Käyttökunnossapito perustuu tuotannon operaattoreiden osallistumiseen kunnossapitotoimiin varsinaisen kunnossapitohenkilöstön ohella. Tuotantooperaattoreilla on työnsä vuoksi parhaat mahdollisuudet käyttämiensä laitteiden kunnonvalvontaan ja näin ollen mahdollisten vikaantumisten ennakointiin jo varhaisessa vaiheessa. Ennakoimalla pystyttäisiin parantamaan kunnossapidon suunnitelmallisuutta, minkä ansiosta laitteiden käytettävyys ja sitä kautta tuotantolaitoksen kokonaistehokkuus olisivat nykyistä korkeampia.
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Kirjallisuusarvostelu
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This study discusses the importance of diasporas’ knowledge with regard to the national competitive advantage of Finland. The purpose of this study is to suggest an interaction framework, which illustrates how diasporas can benefit the host country via intentional knowledge spillovers, with two sub-objectives: to seek which features are crucial for productive interaction between a host government and diasporas, and to scrutinize the modes of interaction currently effective in Finland. The theoretical background of the study consists of literature relating to the concepts of diaspora and knowledge. The empirical research conducted for this study is based on expert interviews. The interview data was collected between September and November 2013. Eight interviews were made; five with representatives of expert organizations, and three with immigrants. Thematic analysis was used to categorize and interpret the interview data. In addition, thematic networks were built to act as a basis of analysis. This study finds that knowledge, especially new combinations of knowledge, is a significant input in innovation. Innovation is found to be the basis of national competitive advantage. Thus the means through which knowledge is transferred are of key importance. Diasporas are found a good source of new knowledge, and thus may aid the innovative process. Host country stance and policy are found to have a major impact on the ability of the host country to benefit from diasporas’ knowledge. As a host country, this study finds Finland to have a very fragmented strategy field and a prejudiced attitude, which currently make it difficult to utilize the potential of diasporas. The interaction framework based on these findings suggests ways in which Finland can improve its national competitive advantage through acquiring the innovative potential of diasporas. Strategy revision and increased promotion are discussed as means towards improved interaction. In addition, the importance of learning is emphasized. The findings of this study enhance understanding of the relationship between the concepts of diaspora and knowledge. In addition, this study ties the relationship to economic benefit. Future research is, however, necessary in order to fully understand the meaning of the relationship, as well as to increase understanding of the generalizability of the interaction framework.
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Initialism is a new word proposed to indicate the "shade-avoidance syndrome". Plants detect the presence of neighbor plants very early in the growing season through changes in light quality. They modify the allocation of photosynthesis products privileging shoot growth over the roots. One of the hypotheses of the authors is that, when weed management is timely scheduled, a "blind" crop could be more productive because it would avoid an imbalance on the shoot:root ratio (S:R). Two strategies were developed to test this hypothesis: a) to use the classical Yoda's Law to screen several crops for insensitivity to S:R imbalance; b) to evaluate several growth regulators to control the plant responses to crowding. Experimental results confirm that both strategies can yield insensitive plants. The possibilities of the use of this knowledge are discussed.
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Currently, one of the biggest challenges faced by organic no-tillage farming is weed control. Thus, the use of cropping practices that help in the control of weeds is extremely important. The objective of this study was to evaluate population density and level of weed infestation in an organic no-tillage corn cropping system under different soil covers. The experiment was conducted in a randomized block design with six repetitions and five treatments, consisting of three soil covers in an organic no-tillage system, and an organic and a conventional system, both without soil cover. The treatments with soil cover used a grass species represented by the black oat, a leguminous species represented by the white lupine, and intercropping between both species. Corn was sown with spacing of 1.0 m between rows and 0.20 m between plants, using the commercial hybrid AG 1051. Infestation in corn was evaluated at stages V5 and V10, and weed density was evaluated at stage V5. The use of black oat straw alone or intercropped with white lupine, in the organic no-tillage corn cropping system, reduced the percentage of weed infestation and absolute weed density. Management-intensive systems and systems without soil cover showed higher relative densities for species Oxalis spp., Galinsoga quadriradiata and Stachys arvensis. The species Cyperus rotundus showed the highest relative density on organic no-tillage corn cropping systems. Black oat straw in the organic no-tillage cropping system limited the productive potential of corn.
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Weeds interfere dramatically in the productive potential of cassava; however, information regarding herbicides that are selective to crops is still scarce. Thus, the aim in this study was to assess the initial growth of IAC 90 cassava plants after the application of sulfentrazone at different stages of germination of cassava in clayey and sandy soils. Three experiments were simultaneously deployed: the first experiment consisted in the application of sulfentrazone in the non-germinated stage of cassava cuttings; the second one in the stage of germinated cassavas cuttings (0.9 cm shoots); and the third one in applications in the stage of cassava cuttings with buds emerging (6.5 cm shoots and emerging from the soil). For each experiment the experimental design in randomized blocks was used in the 2 x 5 factorial arrangement with four replications. The factors were composed of two soils (sandy and clayey) and five doses of sulfentrazone (0, 250, 500, 750 and 1,000 g ha-1). It was found that depending on the herbicide dose, development stage of the buds of cassava cuttings and the type of soil, damage can occur in the initial development of the IAC 90 cassava plants. The greatest potential of sulfentrazone selectivity has occurred in applications in the non-germinated cassava cuttings stage and in doses lower than 500 g ha-1 in the clayey soil.
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ABSTRACT Weeds have the potential to dramatically interfere in cassava cultivation, reducing its productive potential; however, there are few studies on the selective herbicides in this crop. Therefore, the objective was to evaluate in this work the selectivity and efficiency of sulfentrazone in cassava crops grown in sandy and clayey soils. Two experiments were carried out: The first one was carried out in sandy soil conditions in the conventional system; and the second one was carried out in clayey soil conditions in the no-tillage system. The experimental design was a randomized block with four replications. The treatments consisted in doses of 250, 500, 750 and 1,000 g ha-1 of sulfentrazone, and weeded and non-weeded controls. Sulfentrazone application in cassava crops has linearly reduced the production of roots in a proportion of 0.0153 and 0.0107 t ha-1 at each increment in grams of the active ingredient, respectively. It was concluded that sulfentrazone was not selective for cassava crops grown both in sandy and in clayey soil; however, it was highly effective in weed control in both soils.
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The first objective of the thesis is to find out which factors impact on customer profitability has been studied in scientific articles. The second objective is to find out the main authors and publishers from the subject area. Expectations were to find factors from marketing and management accounting literature, but this study did not succeed to gather management accounting perspective on the subject area. This study used bibliometric methods. The data for this study was collected manually from Scopus and Web of Science databases. Search words resulted 770 articles and from those 82 were included to further analyze. Descriptive analysis, citation analysis and content analysis were made. Bibexcel and Pajek software were used in this study. Publication activity was concentrated on years 2004-2013. The most productive author around the subject area is Kumar Vipin from Georgia State University (USA). A multiple customer profitability factors were identified. A lot of research was made for example about satisfaction, relationship duration, loyalty, marketing actions and customer equity drivers. The research is concentrated on service sector. The results are suggesting that there are research gaps in business-to-business and manufacturing sector.
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Kaakkois-Suomessa (Kymenlaakson ja Etelä-Karjalan maakunnat) metsäenergian käytön kasvaessa on tullut tarve tarkastella käytön kasvua eri käyttäjien näkökulmasta sekä arvioida kasvaneen käytön luomia liiketoimintamahdollisuuksia alueen toimijoille. Tutkimuksen tavoitteena on selvittää metsäenergian nykyinen käyttö ja käytön kasvumahdollisuudet alueella. Metsäenergian käytön kasvumahdollisuuksia voidaan arvioida nykyisen energian tuotantorakenteen sekä energian tarpeen perusteella. Näiden tietojen pohjalta voidaan arvioida metsäenergian riittävyyttä, käytön laajentamista ja laajentamisen yhteydessä syntyviä liiketoimintamahdollisuuksia alueen metsäenergian hankinnassa mukana oleville toimijoille ja energian tuotannon pk-yrittäjille (mm. energiayrittäjät ja -osuuskunnat). Hankkeen toteutuksen yhteydessä valmistellaan laajempaa hankekokonaisuutta uusiutuvien paikallisten energiamahdollisuuksien hyödyntämiseksi ja liiketoiminnan kehittämiseksi alueella. Tutkimusten tavoitteena on luoda hyvinvointia ja liiketoimintamahdollisuuksia alueelle. Etelä-Karjalan ja Kymenlaakson maakuntien osalta tutkimus sisälsi seuraavat osatehtävät: metsäenergian nykyisen käytön selvittäminen käyttökohteittain ja polttoainelajeittain (hakkuutähteet, kannot, pienpuu), metsäenergian potentiaalisten käyttökohteiden selvittäminen, metsäenergian kuntakohtaisen saatavuuden selvittäminen polttoainelajeittain, metsäenergian käytön suhde saatavuuteen, metsäenergian ympärille liittyvien liiketoimintamahdollisuuksien tunnistaminen ja kartoittaminen sekä tulosten raportointi. Tutkimuksen tuloksina saatiin Etelä-Karjalan ja Kymenlaakson maakuntien kuntakohtaiset taseet metsäenergian kysynnän ja tarjonnan määristä sekä alaan liittyvistä työllisyys- ja liiketoimintamahdollisuuksista. Tutkimuksen toteutuksessa on tehty tiiviisti yhteistyötä Kaakkois-Suomen metsäkeskuksen kanssa. Tutkimuksen seurantaryhmänä toimi Kaakkois-Suomen metsäenergianeuvottelukunta. Tutkimuksessa on luotu toimintamalli alueellisen ja paikallisen metsäenergian käytön ja saatavuuden tarkastelua varten. Toimintamallilla voidaan esittää paikalliset mahdollisuudet metsäenergian hyödyntämiseksi ja liiketoimintamahdollisuuksien arvioimiseksi.
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The collagen structure of isolated and in situ liver granuloma from Swiss Webster mice infected with Schistosoma mansoni was sequentially and three-dimensionally analyzed during different times of infection (early acute, acute, transitional acute-chronic, and chronic phases) by laser scanning confocal microscopy and electron scanning variable vacuum microscopy. The initial granuloma structure is characterized by vascular collagen residues and by anchorage points (or fiber radiation centers), from where collagenous fibers are angularly shed and self-assembled. During the exudative-productive stage, the self-assembly of these fibers minimizes energy and mass through continuous tension and focal compression. The curvature or angles between collagen fibers probably depends on the fibroblastic or myofibroblastic organization of stress fibers. Gradually, the loose unstable lattice of the exudative-productive stage transforms into a highly packed and stable architecture as a result of progressive compactness. The three-dimensional architecture of granulomas provides increased tissue integrity, efficient distribution of soluble compounds and a haptotactic background to the cells.
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In the 70's, pancreatic islet transplantation arose as an attractive alternative to restore normoglycemia; however, the scarcity of donors and difficulties with allotransplants, even under immunosuppressive treatment, greatly hampered the use of this alternative. Several materials and devices have been developed to circumvent the problem of islet rejection by the recipient, but, so far, none has proved to be totally effective. A major barrier to transpose is the highly organized islet architecture and its physical and chemical setting in the pancreatic parenchyma. In order to tackle this problem, we assembled a multidisciplinary team that has been working towards setting up the Human Pancreatic Islets Unit at the Chemistry Institute of the University of São Paulo, to collect and process pancreas from human donors, upon consent, in order to produce purified, viable and functional islets to be used in transplants. Collaboration with the private enterprise has allowed access to the latest developed biomaterials for islet encapsulation and immunoisolation. Reasoning that the natural islet microenvironment should be mimicked for optimum viability and function, we set out to isolate extracellular matrix components from human pancreas, not only for analytical purposes, but also to be used as supplementary components of encapsulating materials. A protocol was designed to routinely culture different pancreatic tissues (islets, parenchyma and ducts) in the presence of several pancreatic extracellular matrix components and peptide growth factors to enrich the beta cell population in vitro before transplantation into patients. In addition to representing a therapeutic promise, this initiative is an example of productive partnership between the medical and scientific sectors of the university and private enterprises.
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Acid sulfate (a.s.) soils constitute a major environmental issue. Severe ecological damage results from the considerable amounts of acidity and metals leached by these soils in the recipient watercourses. As even small hot spots may affect large areas of coastal waters, mapping represents a fundamental step in the management and mitigation of a.s. soil environmental risks (i.e. to target strategic areas). Traditional mapping in the field is time-consuming and therefore expensive. Additional more cost-effective techniques have, thus, to be developed in order to narrow down and define in detail the areas of interest. The primary aim of this thesis was to assess different spatial modeling techniques for a.s. soil mapping, and the characterization of soil properties relevant for a.s. soil environmental risk management, using all available data: soil and water samples, as well as datalayers (e.g. geological and geophysical). Different spatial modeling techniques were applied at catchment or regional scale. Two artificial neural networks were assessed on the Sirppujoki River catchment (c. 440 km2) located in southwestern Finland, while fuzzy logic was assessed on several areas along the Finnish coast. Quaternary geology, aerogeophysics and slope data (derived from a digital elevation model) were utilized as evidential datalayers. The methods also required the use of point datasets (i.e. soil profiles corresponding to known a.s. or non-a.s. soil occurrences) for training and/or validation within the modeling processes. Applying these methods, various maps were generated: probability maps for a.s. soil occurrence, as well as predictive maps for different soil properties (sulfur content, organic matter content and critical sulfide depth). The two assessed artificial neural networks (ANNs) demonstrated good classification abilities for a.s. soil probability mapping at catchment scale. Slightly better results were achieved using a Radial Basis Function (RBF) -based ANN than a Radial Basis Functional Link Net (RBFLN) method, narrowing down more accurately the most probable areas for a.s. soil occurrence and defining more properly the least probable areas. The RBF-based ANN also demonstrated promising results for the characterization of different soil properties in the most probable a.s. soil areas at catchment scale. Since a.s. soil areas constitute highly productive lands for agricultural purpose, the combination of a probability map with more specific soil property predictive maps offers a valuable toolset to more precisely target strategic areas for subsequent environmental risk management. Notably, the use of laser scanning (i.e. Light Detection And Ranging, LiDAR) data enabled a more precise definition of a.s. soil probability areas, as well as the soil property modeling classes for sulfur content and the critical sulfide depth. Given suitable training/validation points, ANNs can be trained to yield a more precise modeling of the occurrence of a.s. soils and their properties. By contrast, fuzzy logic represents a simple, fast and objective alternative to carry out preliminary surveys, at catchment or regional scale, in areas offering a limited amount of data. This method enables delimiting and prioritizing the most probable areas for a.s soil occurrence, which can be particularly useful in the field. Being easily transferable from area to area, fuzzy logic modeling can be carried out at regional scale. Mapping at this scale would be extremely time-consuming through manual assessment. The use of spatial modeling techniques enables the creation of valid and comparable maps, which represents an important development within the a.s. soil mapping process. The a.s. soil mapping was also assessed using water chemistry data for 24 different catchments along the Finnish coast (in all, covering c. 21,300 km2) which were mapped with different methods (i.e. conventional mapping, fuzzy logic and an artificial neural network). Two a.s. soil related indicators measured in the river water (sulfate content and sulfate/chloride ratio) were compared to the extent of the most probable areas for a.s. soils in the surveyed catchments. High sulfate contents and sulfate/chloride ratios measured in most of the rivers demonstrated the presence of a.s. soils in the corresponding catchments. The calculated extent of the most probable a.s. soil areas is supported by independent data on water chemistry, suggesting that the a.s. soil probability maps created with different methods are reliable and comparable.
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In the last few years, hydrostatic pressure has been extensively used in the study of both protein folding and misfolding/aggregation. Compared to other chemical or physical denaturing agents, a unique feature of pressure is its ability to induce subtle changes in protein conformation, which allow the stabilization of partially folded intermediate states that are usually not significantly populated under more drastic conditions (e.g., in the presence of chemical denaturants or at high temperatures). Much of the recent research in the field of protein folding has focused on the characterization of folding intermediates since these species appear to be involved in a variety of disease-causing protein misfolding and aggregation events. The exact mechanisms of these biologicalphenomena, however, are still poorly understood. Here, we review recent examples of the use of hydrostatic pressure as a tool to obtain insight into the forces and energetics governing the productive folding or the misfolding and aggregation of proteins.
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We analyzed the trends of scientific output of the University Hospital, Federal University of Rio de Janeiro. A total of 1420 publications were classified according to pattern and visibility. Most were non-research publications with domestic visibility. With time, there was a tendency to shift from non-research (or education-oriented) publications with domestic visibility to research publications with international visibility. This change may reflect new academic attitudes within the institution concerning the objectives of the hospital and the establishment of scientific research activities. The emphasis of this University Hospital had been on the training of new physicians. However, more recently, the production of new knowledge has been incorporated as a new objective. The analysis of the scientific production of the most productive sectors of the hospital also showed that most are developing non-research studies devoted to the local public while a few of the sectors are carrying out research studies published in journals with international status. The dilemma of quality versus quantity and of education versus research-oriented publication seems, however, to continue to exist within the specialized sectors. The methodology described here to analyze the scientific production of a university hospital can be used as a tool to better understand the evolution of medical research in Brazil and also to help formulate public policies and new strategies to include research among the major objectives of University Hospitals.