814 resultados para Focus on opportunities
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This article presents a global vision of images in forensic science. The proliferation of perspectives on the use of images throughout criminal investigations and the increasing demand for research on this topic seem to demand a forensic science-based analysis. In this study, the definitions of and concepts related to material traces are revisited and applied to images, and a structured approach is used to persuade the scientific community to extend and improve the use of images as traces in criminal investigations. Current research efforts focus on technical issues and evidence assessment. This article provides a sound foundation for rationalising and explaining the processes involved in the production of clues from trace images. For example, the mechanisms through which these visual traces become clues of presence or action are described. An extensive literature review of forensic image analysis emphasises the existing guidelines and knowledge available for answering investigative questions (who, what, where, when and how). However, complementary developments are still necessary to demystify many aspects of image analysis in forensic science, including how to review and select images or use them to reconstruct an event or assist intelligence efforts. The hypothetico-deductive reasoning pathway used to discover unknown elements of an event or crime can also help scientists understand the underlying processes involved in their decision making. An analysis of a single image in an investigative or probative context is used to demonstrate the highly informative potential of images as traces and/or clues. Research efforts should be directed toward formalising the extraction and combination of clues from images. An appropriate methodology is key to expanding the use of images in forensic science.
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The DMACC Lake Watershed Improvement project will focus on water quality and quantity as well as channel and lake restoration. Roadway, parking lot, and roof drainage from the west and northwest portions of the campus add significant amounts of pollutants and silt to the lake. Severe channel erosion exists along the northern creek channel with exposed cut banks ranging from 2-10 feet in height devoid of vegetation. Heavy lake sedimentation and algae blooms are a result of accumulated sediment being conveyed to the lake. Most sections of the north channel have grades of between 0.5% and 1%. This channel receives large scouring flow velocities. There are no natural riffle or pool systems. There are five areas where these riffle and pool systems may need to be created in order to slow overall channel velocities. This will create a series of rock riffles and a still pool that will mimic the conditions that natural channels tend to create, protecting the channel from undercutting. Multiple practices will need to be implemented to address the pollutant, silt, and channel erosion. Improvements will be specifically tailored to address problems observed within the north channel, on-site drainage from the west and northwest, as well as off-site drainage to the north of the campus and east of Ankeny Blvd (Hwy 69). The result will be improved quality and quantity of site drainage and a channel with a more natural appearance and reduced scour velocities. Sections of the north channel will require grading to establish slopes that can support deep rooted vegetation and to improve maintenance access. Areas with eroded banks will require slope pull back and may also require toe armor protection to stabilize. A constructed wetland will collect and treat runoff from the west on site parking lot, before being discharged into the lake. This project will create educational opportunities to both students and the general public as well as interested parties outside of the local area for how an existing system can be retro fitted for improved watershed quality.
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Background: Conventional magnetic resonance imaging (MRI) techniques are highly sensitive to detect multiple sclerosis (MS) plaques, enabling a quantitative assessment of inflammatory activity and lesion load. In quantitative analyses of focal lesions, manual or semi-automated segmentations have been widely used to compute the total number of lesions and the total lesion volume. These techniques, however, are both challenging and time-consuming, being also prone to intra-observer and inter-observer variability.Aim: To develop an automated approach to segment brain tissues and MS lesions from brain MRI images. The goal is to reduce the user interaction and to provide an objective tool that eliminates the inter- and intra-observer variability.Methods: Based on the recent methods developed by Souplet et al. and de Boer et al., we propose a novel pipeline which includes the following steps: bias correction, skull stripping, atlas registration, tissue classification, and lesion segmentation. After the initial pre-processing steps, a MRI scan is automatically segmented into 4 classes: white matter (WM), grey matter (GM), cerebrospinal fluid (CSF) and partial volume. An expectation maximisation method which fits a multivariate Gaussian mixture model to T1-w, T2-w and PD-w images is used for this purpose. Based on the obtained tissue masks and using the estimated GM mean and variance, we apply an intensity threshold to the FLAIR image, which provides the lesion segmentation. With the aim of improving this initial result, spatial information coming from the neighbouring tissue labels is used to refine the final lesion segmentation.Results:The experimental evaluation was performed using real data sets of 1.5T and the corresponding ground truth annotations provided by expert radiologists. The following values were obtained: 64% of true positive (TP) fraction, 80% of false positive (FP) fraction, and an average surface distance of 7.89 mm. The results of our approach were quantitatively compared to our implementations of the works of Souplet et al. and de Boer et al., obtaining higher TP and lower FP values.Conclusion: Promising MS lesion segmentation results have been obtained in terms of TP. However, the high number of FP which is still a well-known problem of all the automated MS lesion segmentation approaches has to be improved in order to use them for the standard clinical practice. Our future work will focus on tackling this issue.
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Atherosclerosis, which is influenced by both traditional and nontraditional cardiovascular risk factors and has been characterized as an inflammatory process, is considered to be the main cause of the elevated cardiovascular risk associated with chronic kidney disease. The inflammatory component of atherosclerosis can be separated into an innate immune response involving monocytes and macrophages that respond to the excessive uptake of lipoproteins and an adaptive immune response that involves antigen-specific T cells. Concurrent with the influx of immune cells to the site of atherosclerotic lesion, the role of the adaptive immune response gradually increases. One of those cells are represented by the CD4+/CD25+ Tregs, which play indispensable roles in the maintenance of natural self-tolerance and negative control of pathological, as well as physiological, immune responses. Altered self-antigens such as oxidized LDLs may induce the development of CD4+/CD25+ Tregs with atheroprotective properties. However, atherosclerosis may be promoted by an imbalance between regulatory and pathogenic immunity that may be represented by the low expression of the forkhead box transcription factor (Foxp3) in CD4+/CD25+ Tregs. Such a defect may break immunologic tolerance and alter both specific and bystander immune suppression, leading to exacerbation of plaque development. Patients with end-stage kidney disease (ESKD) display a cellular immune dysfunction and accelerated atherosclerosis. Uremic solutes that accumulate during ESKD may be involved in these processes. In patients with ESKD and especially in those that are chronically hemodialyzed, oxidative stress induced by oxidized LDLs may increase CD4+/CD25+ Treg sensitivity to Fas-mediated apoptosis as a consequence of specific dysregulation of IL-2 expression. This review will focus on the current state of knowledge regarding the influence of CD4+/CD25+ Tregs on atherogenesis in patients with ESKD, and the potential effect of statins on the circulating number and the functional properties of these cells.
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Both, Bayesian networks and probabilistic evaluation are gaining more and more widespread use within many professional branches, including forensic science. Notwithstanding, they constitute subtle topics with definitional details that require careful study. While many sophisticated developments of probabilistic approaches to evaluation of forensic findings may readily be found in published literature, there remains a gap with respect to writings that focus on foundational aspects and on how these may be acquired by interested scientists new to these topics. This paper takes this as a starting point to report on the learning about Bayesian networks for likelihood ratio based, probabilistic inference procedures in a class of master students in forensic science. The presentation uses an example that relies on a casework scenario drawn from published literature, involving a questioned signature. A complicating aspect of that case study - proposed to students in a teaching scenario - is due to the need of considering multiple competing propositions, which is an outset that may not readily be approached within a likelihood ratio based framework without drawing attention to some additional technical details. Using generic Bayesian networks fragments from existing literature on the topic, course participants were able to track the probabilistic underpinnings of the proposed scenario correctly both in terms of likelihood ratios and of posterior probabilities. In addition, further study of the example by students allowed them to derive an alternative Bayesian network structure with a computational output that is equivalent to existing probabilistic solutions. This practical experience underlines the potential of Bayesian networks to support and clarify foundational principles of probabilistic procedures for forensic evaluation.
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A workshop recently held at the Ecole Polytechnique Federale de Lausanne (EPFL, Switzerland) was dedicated to understanding the genetic basis of adaptive change, taking stock of the different approaches developed in theoretical population genetics and landscape genomics and bringing together knowledge accumulated in both research fields. Indeed, an important challenge in theoretical population genetics is to incorporate effects of demographic history and population structure. But important design problems (e.g. focus on populations as units, focus on hard selective sweeps, no hypothesis-based framework in the design of the statistical tests) reduce their capability of detecting adaptive genetic variation. In parallel, landscape genomics offers a solution to several of these problems and provides a number of advantages (e.g. fast computation, landscape heterogeneity integration). But the approach makes several implicit assumptions that should be carefully considered (e.g. selection has had enough time to create a functional relationship between the allele distribution and the environmental variable, or this functional relationship is assumed to be constant). To address the respective strengths and weaknesses mentioned above, the workshop brought together a panel of experts from both disciplines to present their work and discuss the relevance of combining these approaches, possibly resulting in a joint software solution in the future.
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To complement the existing treatment guidelines for all tumour types, ESMO organises consensus conferences to focus on specific issues in each type of tumour. The 2nd ESMO Consensus Conference on Lung Cancer was held on 11-12 May 2013 in Lugano. A total of 35 experts met to address several questions on non-small-cell lung cancer (NSCLC) in each of four areas: pathology and molecular biomarkers, first-line/second and further lines of treatment in advanced disease, early-stage disease and locally advanced disease. For each question, recommendations were made including reference to the grade of recommendation and level of evidence. This consensus paper focuses on first line/second and further lines of treatment in advanced disease.
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Peer-reviewed
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BACKGROUND: Health professionals and policymakers aspire to make healthcare decisions based on the entire relevant research evidence. This, however, can rarely be achieved because a considerable amount of research findings are not published, especially in case of 'negative' results - a phenomenon widely recognized as publication bias. Different methods of detecting, quantifying and adjusting for publication bias in meta-analyses have been described in the literature, such as graphical approaches and formal statistical tests to detect publication bias, and statistical approaches to modify effect sizes to adjust a pooled estimate when the presence of publication bias is suspected. An up-to-date systematic review of the existing methods is lacking. METHODS/DESIGN: The objectives of this systematic review are as follows:âeuro¢ To systematically review methodological articles which focus on non-publication of studies and to describe methods of detecting and/or quantifying and/or adjusting for publication bias in meta-analyses.âeuro¢ To appraise strengths and weaknesses of methods, the resources they require, and the conditions under which the method could be used, based on findings of included studies.We will systematically search Web of Science, Medline, and the Cochrane Library for methodological articles that describe at least one method of detecting and/or quantifying and/or adjusting for publication bias in meta-analyses. A dedicated data extraction form is developed and pilot-tested. Working in teams of two, we will independently extract relevant information from each eligible article. As this will be a qualitative systematic review, data reporting will involve a descriptive summary. DISCUSSION: Results are expected to be publicly available in mid 2013. This systematic review together with the results of other systematic reviews of the OPEN project (To Overcome Failure to Publish Negative Findings) will serve as a basis for the development of future policies and guidelines regarding the assessment and handling of publication bias in meta-analyses.
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Peer-reviewed
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Manet security has a lot of open issues. Due to its character-istics, this kind of network needs preventive and corrective protection. Inthis paper, we focus on corrective protection proposing an anomaly IDSmodel for Manet. The design and development of the IDS are consideredin our 3 main stages: normal behavior construction, anomaly detectionand model update. A parametrical mixture model is used for behav-ior modeling from reference data. The associated Bayesian classi¯cationleads to the detection algorithm. MIB variables are used to provide IDSneeded information. Experiments of DoS and scanner attacks validatingthe model are presented as well.
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Suurten polttolaitosten päästöjen tarkkailu- ja raportointivaatimukset ovat uudistuneet viime vuosina paljon. Suurimpia muutosten aiheuttajia ovat Valtioneuvoston asetus 1017/2002 ja standardi EN-14181. Tässä työssä kuvataan uudet vaatimukset täyttävän päästöjen tarkkailu- ja raportointijärjestelmän rakentaminen monipolttoainekattilalle. Aluksi esitellään mitä uusia vaatimuksia päästöjen tarkkailulle ja raportoinnille on tullut viime aikoina. Lisäksi selvitetään vaatimusten mahdolliset ristiriidat ja ristiriitatilanteiden ratkaisutavat. Seuraavaksi esitellään vaatimukset täyttävän järjestelmän määritelmät. Erityisestiselvitetään kattilan erityispiirteiden vaatimia ratkaisuja. Lopuksi esitellään päästöjen tarkkailu- ja raportointijärjestelmän käyttökokemuksia ja parantamismahdollisuuksia. Kaikki tarkastelut tehdään ensisijaisesti toiminnanharjoittajan näkökulmasta. Järjestelmä toteutettiin Stora Enso Oyj:n Heinolan Flutingtehtaan voimalaitoksen pääkattilalle, jossa käytetään laajaa polttoainevalikoimaa. Toteutuspaikan valinta tehtiin sillä perusteella, että uudet päästöjen tarkkailu- ja raportointivaatimukset ovat erityisen haasteellisia monipolttoainekattiloiden tapauksessa. Työssä selvitetään järjestelmän soveltamismahdollisuuksia myös kahdella muulla Stora Enson tehtaalla. Käyttöönottovaiheen johtopäätöksenä todettiin päästöjen tarkkailu- ja raportointijärjestelmän täyttävän sille asetetut vaatimukset. Lisäksi havaittiin, että toiminnanharjoittajan kannattaa panostaa erityisesti järjestelmän joustavuuteen, luotettavuuteen, helppokäyttöisyyteen ja vikasietoisuuteen. Toiminnanharjoittaja pystyy määrittelyvaiheessa vaikuttamaan järjestelmän ominaisuuksiin helpommin ja edullisemmin kuin käyttöönoton jälkeen. Toiminnanharjoittajalta vaadittu työtuntimäärä arvioitiin Heinolan Flutingtehtaan tapauksen perusteella. Lopuksi selvitettiin mahdollisia tulevaisuuden kehityskohteita vastaavissa järjestelmissä.
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Few studies have examined the combined effect of implementing quality and environmental management within the service sector. This void is more evident if we focus on segments in which small businesses predominate and even more so if we look for highly competitive sectors that are very variable and that have high business mortality. After analysing 198 surveys of Spanish travel agency managers using structural equations, it can be concluded that practices of quality management have a significant direct impact on business competitiveness but not on this business's financial results, at least directly. However, there is a significant relationship between environmental management practices and economic benefits. This article suggests that commitment to quality and the environment can allow small businesses in the service sector to have a competitive advantage that will separate surviving and ceased operations, particularly in sectors that are rapidly evolving and highly competitive.
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Työn tavoitteena on kehittää arvoinnovaatio yritysverkostolle. Arvoinnovaation teoreettisen viitekehyksen konkretisoimiseksi ja arvioimiseksi käytetään työssä kohteena ProPortfolio - ohjelmistotuotetta sekä sen kehittämistyössä saatuja kokemuksia. ProPortfolio on vuosina 2001-2004 kehitetty mobiiliin teknologiaan perustuva ohjelmistosovellus. ProPortfolio ohjelmisto on liikkeenjohdon konsulttiyritys Tuloskunto Oy:n johdolla ja TEKES:n rahoittamassa hankkeessa kehitetty pientaloprojektien toteuttajaverkoston toiminnanohjausjärjestelmä. Pitkäaikaisen kilpailuedun saavuttaminen erottumalla kilpailijoiden massasta on kasvava haaste yrityksille. Tutkijoiden Kimin ja Mauborgnen kehittämän arvoinnovaation ja strategisen suunnittelun prosessin lähtökohtana on kilpailun kiertäminen differoitumalla kilpailijoista ja uusien markkinoiden luominen. Perinteisen strategisen ajattelutavan mukaan yritykset voivat tuottaa korkeampaa arvoaasiakkaille korkeammin kustannuksin tai kohtuullista arvoa pienemmin kustannuksin. Eli strateginen asemointi perustuu valintaan differoitumisen ja kustannusjohtajuuden välillä (Porter,1985). Arvoinnovaatioon perustuvassa asemoinnissa tavoitellaan sekä differoitumista että kustannusjohtajuutta samanaikaisesti. Arvoinnovaation keskeisimmät kriteerit täyttyivät kehityshankkeen lopputuloksena syntyneessä ProPortfolio -ohjelmistotuotteessa. Tämän työn pohjalta voidaan todeta, että Kimin ja Mauborgnen kehittämä strategian suunnitteluprosessi on laaja ja vaativa. Arvoinnovaatio syntyy harvoin hetkellisenä oivalluksena, vaan kehittyy järjestelmällisen työskentelyn tuloksena. ProPortfolio -ohjelmistotuotteen arvoinnovaation muodostuminen perustui kehityshankkeen onnistuneeseen asiakastarpeiden tunnistamiseen ja ennakoimiseen. Selkeän kuvan hahmottuminen ratkaistavista ongelmista auttoi asemoimaan hankkeen jatkokehitystyön oikein ja loi edellytykset arvoinnovaation muodostumiselle. Tutkijat Kim jaMauborgne ovat haastaneet perinteiset strategiatyöskentelyn mallit. Tutkimustuloksiinsa pohjautuen he ovat kehittäneet uuden arvoinnovaatioon perustuvan strategisen suunnittelun teoreettisen viitekehikon ja prosessin. Nämä mallit tulevat varmasti jättämään pysyvän jäljen strategiatyöskentelyn nykykäytäntöihin.
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Liikevaihdon orgaaninen kasvu on ensisijainen tekijä ja haaste yritysjohdolle yrityksen omistaja-arvon kasvattamiseksi. Tutkimus tarkastelee suosivatko suomalaisyritykset pääasiallisesti olemassa olevaa liiketoimintaa palvelevia innovaatioita vai tukevatko nykyhetken toimintatavat myös uusia kasvua kiihdyttäviä radikaaleja innovaatioita. Lisäksi työ kartoitti suomalaisyritysten innovaatioprosessien kehitysalueita käyttäen itsearviointitutkimusta.Tulokset johtivat kolmeen johtopäätökseen. Tutkimus osoitti, että vastaajayritykset ovat keskittyneet innovaatiotoiminnassaan vahvasti ydinliiketoimintaansa, jättäen potentiaaliset kasvumahdollisuudet huomioimatta. Yritykset tavoittelevat maksimaalisia tuottoja keskittymällä tuotteidensa korkeaan suorituskykyyn. Lyhyen aikavälin epärealistiset tuotto-odotukset sekä projekteille suunnatut arviointikriteerit rajoittavat liiketoimintaa mullistavien radikaalien innovaatioiden kehittymistä organisaatiossa. Toiseksi, tutkimus osoitti, että suuri osa yrityksistä käyttää perinteisen projektien arviointi- ja kehitysprosessin lisäksi vaihtoehtoisia ja huonosti kontrolloitavissa olevia kehitysprosesseja, mikäli projektille annetaan kielteinen rahoituspäätös standardin prosessin sisällä. Kolmanneksi, suomalaisyritysten innovaatioprosesseissa paljastui merkittäviä puutteita mitattavien elementtien suhteen.