961 resultados para complexity management


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Sarcomas are heterogeneous and aggressive mesenchymal tumors. Histological grading has so far been the best predictor for metastasis-free survival, but it has several limitations, such as moderate reproducibility and poor prognostic value for some histological types. To improve patient grading, we performed genomic and expression profiling in a training set of 183 sarcomas and established a prognostic gene expression signature, complexity index in sarcomas (CINSARC), composed of 67 genes related to mitosis and chromosome management. In a multivariate analysis, CINSARC predicts metastasis outcome in the training set and in an independent 127 sarcomas validation set. It is superior to the Fédération Francaise des Centres de Lutte Contre le Cancer grading system in determining metastatic outcome for sarcoma patients. Furthermore, it also predicts outcome for gastrointestinal stromal tumors (GISTs), breast carcinomas and lymphomas. Application of the signature will permit more selective use of adjuvant therapies for people with sarcomas, leading to decreased iatrogenic morbidity and improved outcomes for such individuals.

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According to prevailing ecological theory one would expect the most stable vegetation on sites which are least disturbed (Odum 1971). According to theory one would also expect the most diversity of species on undisturbed sites (Odum 1971). This stable and diverse community would be produced over a period of many years through a process of plant succession where annual herbs are replaced by perennial herbs and finally woody plants would come to dominate and perpetuate the community. Another ecological theory holds that the complexity (structure and species diversity) of a plant community is dependent upon the amount of disturbance to which it is subjected (Woodwell, 1970). According to this theory the normal succession of a plant community through its various stages may be arrested at some point depending upon the nature and severity of the disturbance. In applying these theories to roadside vegetation it becomes apparent that mass herbicide spraying and extensive mowing of roadsides has produced a relatively simple and unstable vegetation. It follows that if disturbances were reduced not only would the roadside plant community increase in stability but maintenance costs and energy usage would be reduced. In this study we have investigated several aspects of reduced disturbances on roadside vegetation. Research has centered on the effectiveness of spot spraying techniques on noxious weed control, establishment of native grass cover where ditch cleaning and other disturbance has left the bare soil exposed and the response of roadside vegetation when released from annual mass spraying.

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Water tanks offer from many centuries ago solutions in South India for several problems related with water scarcity. They are a traditional water harvesting system wide spread in this territory, allowing a potential decentralized and participatory management of the local population on their own resources. Although water tanks¿ main function is irrigation, they have many other uses, functions and natural resources associated, involving stakeholders in the villages apart from those farmers making use of the irrigation. Water tanks provide a variety of landscapes and biodiversity that creates a valuable heterogeneous territory. The complexity of such an ecosystem should be managed with an integral perspective, considering all the elements involved and their relations, and understanding that water tanks are not just water deposits. This multidisciplinary study tries to demonstrate the idea of water tanks as ecosystems, describing and analyzing deeply and in an unprecedentedly way the functions, uses, natural resources and stakeholders. The research also focuses in the assessment of the ecosystemic perception of the local population of some villages in Tamil Nadu, employing diverse anthropological methodology.

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The aim of this study was to assess a population of patients with diabetes mellitus by means of the INTERMED, a classification system for case complexity integrating biological, psychosocial and health care related aspects of disease. The main hypothesis was that the INTERMED would identify distinct clusters of patients with different degrees of case complexity and different clinical outcomes. Patients (n=61) referred to a tertiary reference care centre were evaluated with the INTERMED and followed 9 months for HbA1c values and 6 months for health care utilisation. Cluster analysis revealed two clusters: cluster 1 (62%) consisting of complex patients with high INTERMED scores and cluster 2 (38%) consisting of less complex patients with lower INTERMED. Cluster 1 patients showed significantly higher HbA1c values and a tendency for increased health care utilisation. Total INTERMED scores were significantly related to HbA1c and explained 21% of its variance. In conclusion, different clusters of patients with different degrees of case complexity were identified by the INTERMED, allowing the detection of highly complex patients at risk for poor diabetes control. The INTERMED therefore provides an objective basis for clinical and scientific progress in diabetes mellitus. Ongoing intervention studies will have to confirm these preliminary data and to evaluate if management strategies based on the INTERMED profiles will improve outcomes.

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There is a concern that agriculture will no longer be able to meet, on a global scale, the growing demand for food. Facing such a challenge requires new patterns of thinking in the context of complexity and sustainability sciences. This paper, focused on the social dimension of the study and management of agricultural systems, suggests that rethinking the study of agricultural systems entails analyzing them as complex socio-ecological systems, as well as considering the differing thinking patterns of diverse stakeholders. The intersubjective nature of knowledge, as studied by different philosophical schools, needs to be better integrated into the study and management of agricultural systems than it is done so far, forcing us to accept that there are no simplistic solutions, and to seek a better understanding of the social dimension of agriculture. Different agriculture related problems require different policy and institutional approaches. Finally, the intersubjective nature of knowledge asks for the visualization of different framings and the power relations taking place in the decision-making process. Rethinking management of agricultural systems implies that policy making should be shaped by different principles: learning, flexibility, adaptation, scale-matching, participation, diversity enhancement and precaution hold the promise to significantly improve current standard management procedures.

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Our work is focused on alleviating the workload for designers of adaptive courses on the complexity task of authoring adaptive learning designs adjusted to specific user characteristics and the user context. We propose an adaptation platform that consists in a set of intelligent agents where each agent carries out an independent adaptation task. The agents apply machine learning techniques to support the user modelling for the adaptation process

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The progress in prenatal medicine raises complex questions with respect to the physician-patient relationship. The physician needs to reconcile medical aspects, ethical principles as well as judicial norms. Already, during the first trimester, the physician has to put into practice the schedule combining for each individual pregnancy physical, laboratory and other appropriate exams. Physicians are under the obligation to inform in a clear and comprehensive way without creating unnecessary anxiety for their patients. Legal requirements include informed consent, the respect for the patient's right to self-determination, and compliance with the Swiss federal law on genetic testing, especially with its articles on prenatal screening and diagnosis. This article discusses the complexity of obstetrical practice when it comes to delivering adequate information within the scope of ethical and legal requirements in Switzerland. L'évolution de la médecine prénatale soulève des enjeux complexes dans la relation médecin-patient. Il s'agit de concilier à la fois les aspects médicaux, les principes éthiques et les normes juridiques. Dès le premier trimestre de la grossesse le médecin doit poser le cadre du suivi et des examens appropriés pour chaque grossesse. Son devoir est d'informer de manière claire et précise sans inquiéter inutilement, en respectant l'exigence légale d'un consentement éclairé et plus largement le droit de la patiente à l'autodétermination ainsi que le cadre de la loi fédérale suisse sur l'analyse génétique humaine dans le domaine du dépistage et du diagnostic prénatal. Cet article discute de la complexité de l'information et de l'application des principes éthiques et légaux dans la pratique obstétricale en Suisse.

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Alikehittynyt infrastruktuuri, tiukat säädökset ja säädösten tulkitseminen, sekä monimutkaiset verotuskäytännöt ovat aiheuttaneet ongelmia suomalaisille Alikehittynyt infrastruktuuri, tiukat säädökset ja säädösten tulkitseminen, sekä monimutkaiset verotuskäytännöt ovat aiheuttaneet ongelmia suomalaisille yrityksille Kiinassa. Tutkimuksen perusteella yritykset eivät pysty vaikuttamaan infrastruktuurin kehittymiseen tai säädösten implementointiin, mutta ylläpitämällä suhteita ja valitsemalla oikeat partnerit yritykset pystyvät hallitsemaan ongelma-alueitaan. Etenkin ulkomaalaisille yrityksille oikean logistiikkaoperaattorin valinta on tärkeätä ja huomioon ottaen palvelutason, kulttuuritaustan sekä kansainväliset operaatiot on ulkomaalaisten yritysten tehokkaampaa käyttää kansainvälisiä operaattoreita kuin paikallisia toimijoita, jotkaovat usein halvempia, mutta eivät pysty toimimaan kansainvälisellä tasolla. Vientiin keskittyneiden yritysten tulisi sijoittua vapaakauppa-alueille tai vientiin painottuneille teollisuusalueille. Kyseisillä alueilla liiketoiminta mannermaahan on rajoitettu, eivätkä alueet täten sovellu yrityksille, jotka ovat keskittyneet Kiinan markkinoille. Paikallisesti operoivien yritysten tulisi sijoittua normaaleihin teollisuuspuistoihin ja käyttää tullin valvomia varastoja tukemaan kansainvälisiä toimintojaan.Tulisi myös muistaa etteivät kiinalaiset teollisuuspuistot täytä kansainvälisiä kriteerejä, joten säädöksiin on tärkeätä tutustua huolella jamielipiteitä kerätä toisilta yrityksiltä. Kiinassa merkittävimmät logistiikkaongelmat ilmenevät tuonnin ja viennin yhteydessä, jolloin säädökset ja toimintamallit ovat kontrolloidumpia. Etenkin tullaus- ja arvonlisävero ongelmat liittyvät kiinteästi tuonti- ja vientiprosessiin. Tutkimuksen tulokset osoittivat, että tullausprosessi tehostuu yhteistyön ja koulutuksen kautta, mutta arvonlisäverosta aiheutuvien kustannusten minimointi vaatii logistiikkapuistojen käyttöä. Mikäli asiakas haluaa tehdä tullauksen kotiprovinssissaan tai yritys tekee kauppaa ALV -vapautettujen yritysten kanssa, tulisi logistiikkapuistojen käyttöä lisätä. Käytettäessä logistiikkapuistoja yritykset välttävät tuotteiden kuljetukset Hongkongiin jatakaisin säästäen huomattavasti kustannuksissa ja toimitusajoissa. Logistiikkapuistoja on myös mahdollista käyttää ratkaisuna kasvaviin ja viivästyviin ALV palautuksiin. Tutkimuksen tulosten mukaan toimintaympäristö ja vientipainotteinen valmistus ohjaavat 3PL yritysten valintaa ja vaihtoehtoisten logistiikkapalvelujen implementointia. Etabloiduttaessavapaakauppa-alueille vientiin ja tuontiin liittyvät ongelmatekijät vahvistuvat sekä rajoitukset kiinan liiketoimintaan kasvavat, mikä tekee yhteistyönkansainvälisten logistiikkaoperaattoreiden kanssa välttämättömäksi ja kannustaa hyödyntämään logistiikkapuistoja.

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There is a broad consensus among economists that technologicalchange has been a major contributor to the productivity growth and, hence, to the growth of the material welfare in western industrialized countries at least over the last century. Paradoxically, this issue has not been the focal point of theoretical economics. At the same time, we have witnessed the rise of the importance of technological issues at the strategic management level of business firms. Interestingly, the research has not accurately responded to this challenge either. The tension between the overwhelming empirical evidence of the importance of technology and its relative omission in the research offers a challenging target for a methodological endeavor. This study deals with the question of how different theories cope with technology and explain technological change. The focusis at the firm level and the analysis concentrates on metatheoretical issues, except for the last two chapters, which examine the problems of strategic management of technology. Here the aim is to build a new evolutionary-based theoreticalframework to analyze innovation processes at the firm level. The study consistsof ten chapters. Chapter 1 poses the research problem and contrasts the two basic approaches, neoclassical and evolutionary, to be analyzed. Chapter 2 introduces the methodological framework which is based on the methodology of isolation. Methodological and ontoogical commitments of the rival approaches are revealed and basic questions concerning their ways of theorizing are elaborated. Chapters 3-6 deal with the so-called substantive isolative criteria. The aim is to examine how different approaches cope with such critical issues as inherent uncertainty and complexity of innovative activities (cognitive isolations, chapter 3), theboundedness of rationality of innovating agents (behavioral isolations, chapter4), the multidimensional nature of technology (chapter 5), and governance costsrelated to technology (chapter 6). Chapters 7 and 8 put all these things together and look at the explanatory structures used by the neoclassical and evolutionary approaches in the light of substantive isolations. The last two cpahters of the study utilize the methodological framework and tools to appraise different economics-based candidates in the context of strategic management of technology. The aim is to analyze how different approaches answer the fundamental question: How can firms gain competitive advantages through innovations and how can the rents appropriated from successful innovations be sustained? The last chapter introduces a new evolutionary-based technology management framework. Also the largely omitted issues of entrepreneurship are examined.

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This article draws on empirical material to reflect on what drives rapid change in flood risk management practice, reflecting wider interest in the way that scientific practices make risk landscapes and a specific focus on extreme events as drivers of rapid change. Such events are commonly referred to as a form of creative destruction, ones that reveal both the composition of socioenvironmental assemblages and provide a creative opportunity to remake those assemblages in alternate ways, therefore rapidly changing policy and practice. Drawing on wider thinking in complexity theory, we argue that what happens between events might be as, if not more, important than the events themselves. We use two empirical examples concerned with flood risk management practice: a rapid shift in the dominant technologies used to map flood risk in the United Kingdom and an experimental approach to public participation tested in two different locations, with dramatically different consequences. Both show that the state of the socioenvironmental assemblage in which the events take place matters as much as the magnitude of the events themselves. The periods between rapid changes are not simply periods of discursive consolidation but involve the ongoing mutation of such assemblages, which could either sensitize or desensitize them to rapid change. Understanding these intervening periods matters as much as the events themselves. If events matter, it is because of the ways in which they might bring into sharp focus the coding or framing of a socioenvironmental assemblage in policy or scientific practice irrespective of whether or not those events evolve the assemblage in subtle or more radical ways.

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In order to improve the management of copyright in the Internet, known as Digital Rights Management, there is the need for a shared language for copyright representation. Current approaches are based on purely syntactic solutions, i.e. a grammar that defines a rights expression language. These languages are difficult to put into practise due to the lack of explicit semantics that facilitate its implementation. Moreover, they are simple from the legal point of view because they are intended just to model the usage licenses granted by content providers to end-users. Thus, they ignore the copyright framework that lies behind and the whole value chain from creators to end-users. Our proposal is to use a semantic approach based on semantic web ontologies. We detail the development of a copyright ontology in order to put this approach into practice. It models the copyright core concepts for creation, rights and the basic kinds of actions that operate on content. Altogether, it allows building a copyright framework for the complete value chain. The set of actions operating on content are our smaller building blocks in order to cope with the complexity of copyright value chains and statements and, at the same time, guarantee a high level of interoperability and evolvability. The resulting copyright modelling framework is flexible and complete enough to model many copyright scenarios, not just those related to the economic exploitation of content. The ontology also includes moral rights, so it is possible to model this kind of situations as it is shown in the included example model for a withdrawal scenario. Finally, the ontology design and the selection of tools result in a straightforward implementation. Description Logic reasoners are used for license checking and retrieval. Rights are modelled as classes of actions, action patterns are modelled also as classes and the same is done for concrete actions. Then, to check if some right or license grants an action is reduced to check for class subsumption, which is a direct functionality of these reasoners.

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Tietojohtaminen on osoittautunut nykypäivänä organisaatioiden yhdeksi suurimmaksi haasteeksi. Haasteena ei vain ole se tiedon määrä mitä tulisi hallita, vaan pikemminkin tiedonhallinta toimii yritykselle kilpailuetuna globaalissa yritysmaailmassa. Tämän työn tavoitteena on tutkia yritysportaalin soveltuvuutta tiedonhallintaan globaalissa metsäteollisuusyrityksessä. Lisäksi tavoitteena on selvittää portaalin sovittamista kullekin käyttäjäryhmälle case yrityksessä. Työn teoriaosassa on käsitelty tiedonhallinnan monimuotoisuutta ja vaikeutta kuvata sitä yksiselitteisesti. Lisäksi käyttäjäryhmien ja käyttäjäprofiilien määrittämiseen vaikuttavia seikkoja on selvitetty tässä osassa. Empiirinen osa käsittelee case-yritystä ja sen suhdetta tiedonhallintaan sekä tämän kaltaisen tiedonhallinnan työvälineen käyttöön. Työstä saatujen tulosten perusteella voidaan todeta yritysportaalin soveltuvan hyvin tiedonhallintaan monimutkaisessakin yrityksessä. Portaali muuttaa yrityksen liiketoimintaprosesseja läpinäkyvämmiksi, kun bisneskriittistä tietoa tarjotaan yhdessä paikassa.

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Informaatiotulva ja organisaation monimutkaisuus luoneet tarpeen tietämyksen hallinnalle. Tämän tutkimuksen tavoitteena on tunnistaa muutostarpeet, jotka portaalin käyttöönotto tietämyksenhallintatyökaluna luo. Tutkimuksessa verrataan myös uusia työkaluja olemassa oleviin sekä arvioidaan organisaation kykyä siirtää tietämystä virtuaalisesti. Kirjallisuutta vastaavanlaisista projekteista ei ole ollut saatavilla, sillä käyttöönotettava teknologia on melko uutta. Samaa teknologiaa on käytössä hieman eri alueella, kuin tässä projektissa on tavoitteena. Tutkimus on tapaustutkimus, jonka pääasialliset lähteet ovat erilaisissa kokouksissa tuotettuja dokumentteja. Tutkija on osallistunut aktiivisesti projektityöhön, joten osa taustatiedoista perustuu tutkijan huomioihin sekä vielä keskusteluihin. Teoriaosassa käsitellään tietämyksen jakamista tietämyksen hallinnan ja virtuaalisuuden näkökulmasta. Muutoksen hallintaa on käsitelty lyhyesti tietämyksenhallintatyökalun käyttöönotossa. Tutkimus liittyy Stora Enso Consumer Boardsin tietämyksen hallintaprojektiin.

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Climate change affects the rate of insect invasions as well as the abundance, distribution and impacts of such invasions on a global scale. Among the principal analytical approaches to predicting and understanding future impacts of biological invasions are Species Distribution Models (SDMs), typically in the form of correlative Ecological Niche Models (ENMs). An underlying assumption of ENMs is that species-environment relationships remain preserved during extrapolations in space and time, although this is widely criticised. The semi-mechanistic modelling platform, CLIMEX, employs a top-down approach using species ecophysiological traits and is able to avoid some of the issues of extrapolation, making it highly applicable to investigating biological invasions in the context of climate change. The tephritid fruit flies (Diptera: Tephritidae) comprise some of the most successful invasive species and serious economic pests around the world. Here we project 12 tephritid species CLIMEX models into future climate scenarios to examine overall patterns of climate suitability and forecast potential distributional changes for this group. We further compare the aggregate response of the group against species-specific responses. We then consider additional drivers of biological invasions to examine how invasion potential is influenced by climate, fruit production and trade indices. Considering the group of tephritid species examined here, climate change is predicted to decrease global climate suitability and to shift the cumulative distribution poleward. However, when examining species-level patterns, the predominant directionality of range shifts for 11 of the 12 species is eastward. Most notably, management will need to consider regional changes in fruit fly species invasion potential where high fruit production, trade indices and predicted distributions of these flies overlap.

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This thesis studies the use of heuristic algorithms in a number of combinatorial problems that occur in various resource constrained environments. Such problems occur, for example, in manufacturing, where a restricted number of resources (tools, machines, feeder slots) are needed to perform some operations. Many of these problems turn out to be computationally intractable, and heuristic algorithms are used to provide efficient, yet sub-optimal solutions. The main goal of the present study is to build upon existing methods to create new heuristics that provide improved solutions for some of these problems. All of these problems occur in practice, and one of the motivations of our study was the request for improvements from industrial sources. We approach three different resource constrained problems. The first is the tool switching and loading problem, and occurs especially in the assembly of printed circuit boards. This problem has to be solved when an efficient, yet small primary storage is used to access resources (tools) from a less efficient (but unlimited) secondary storage area. We study various forms of the problem and provide improved heuristics for its solution. Second, the nozzle assignment problem is concerned with selecting a suitable set of vacuum nozzles for the arms of a robotic assembly machine. It turns out that this is a specialized formulation of the MINMAX resource allocation formulation of the apportionment problem and it can be solved efficiently and optimally. We construct an exact algorithm specialized for the nozzle selection and provide a proof of its optimality. Third, the problem of feeder assignment and component tape construction occurs when electronic components are inserted and certain component types cause tape movement delays that can significantly impact the efficiency of printed circuit board assembly. Here, careful selection of component slots in the feeder improves the tape movement speed. We provide a formal proof that this problem is of the same complexity as the turnpike problem (a well studied geometric optimization problem), and provide a heuristic algorithm for this problem.