961 resultados para Modern University


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The town of Sopron (Ödenburg) is situated near the western border of Hungary at the junction of major routes of commerce, no further than 70 km from Vienna. As early as in 1291 the town had become a chartered town or free royal town, which meant the most fully-fledged municipial autonomy in this period. The town was subordinated only to the king and could represent itself in parliament from 1445. The surrounding seigniorial towns and villages often lodged an appeal with the Town Court due to its wide legal autonomy. The inhabitants of seigniorial towns and the villagers could have been under the necessity of going to the town, and the legal proceedings they experienced in Sopron may have meant a model pattern for them. The seigniorial town (oppidum) is a settlement under the landlord's authority, with limited legal privileges, concentrated mostly on agricultural production and on the exchange of products of its immediate hinterland. Sopron as a county town was gradually becoming significant during the early modern period. The county (megye) was not only the unit of administration in Hungary, but that of the autonomy of nobility, too. The importance of Sopron as a county town attracted many noblemen dwelling in Sopron county to the town. The county was one of the most densely populated in the 15-18th c., at the beginning of the 18th c., for example, the density was 32 person/km2 and it rose more than 40 p/km2 by the end of the century. The population of Sopron was approximately 3500-3700 in the middle of the 15th c., and due to the decline during the later decades some 3000 persons lived in the town in the early 16th c. According to the first national census the population of Sopron was 12600 in 1784-87. These data place Sopron at the high level of Hungarian urban hierarchy in this period. This paper will explore two significant aspects of the relation between the town and its countryside: the problems of mutual economic dependence and the role of Sopron as a centre of culture.

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A nemzetközi, elsősorban európai szervezettudományban mára meghatározóvá vált a kritikai megközelítés, a hazai szakirodalomban mégis elvétve találni rá utalásokat. A szerzők írásukban tárgyalják, hogy a kritikai menedzsmentelméletek (KME) szemszögéből miként bírálható a mindenkori szervezeti gyakorlat, és miért bírálandók a főáramú menedzsmentelméletek. A tanulmány fő részében elméleti megkülönböztetéseket tesznek: egyrészt elhatárolják a kritikai megközelítést a főáramú szervezetelméletektől, másrészt több szempontból is különbséget tesznek a különféle – de egyaránt a KME alá tartozó – kritikai megközelítések között. De a kritikai szemlélethez hűen nem csak a puszta elméletismertetés volt a céljuk: e bevezetés és problémafelvető tanulmány – s a későbbiekben tervezett cikksorozat – szándékuk szerint vitaindítóként is szolgál. Abban bíznak, hogy a felvetett kérdésekről valódi, lényegi párbeszédet generálhatnak a hazai menedzsmenttudományban (kutatók, oktatók és elméletalkalmazók körében), mely kihathat a szervezeti gyakorlatra is. _____ Critical Management Studies (CMS) as a field of organization studies (OS) has become central internationally, and especially in Europe. Yet, its appearance is still very rare in the Hungarian OS literature. In this study first the authors discuss how the nowadays dominant organizational practices along with the mainstream management and organization theories are to be criticized from a Critical Management perspective. In the main section, so as to define CMS, they make important theoretical distinctions, first between CMS and mainstream organization theories (in general), and then among the different critical approaches that nevertheless all fall under the broad CMS umbrella. But, in line with a truly critical attitude, they not only go into theoretical discussions but, at least to their intention, the purpose of this introductory paper is also to addresses important problems both in the theory and the practice of organization and management. Therefore, it could serve as an opening of an important debate or dialogue in the Hungarian academic community (researchers, educators and other professionals), a theoretical discussion that could have real influence on organizational practice too.

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Habár egyöntetű a kutatók és szakértők véleménye a tekintetben, hogy a szervezeti kultúra változtatása nélkül nem lehet sikeres és fenntartható egyik modern termelési koncepció sem, meglehetősen csekély az egyes termelési koncepciók és a szervezeti kultúra kapcsolatát vizsgáló empirikus munkák száma. Így máig megválaszolatlan a témával kapcsolatos számos alapkérdés. Jelen irodalomfeldolgozás a vezető termelésmenedzsment- folyóiratokban megjelent munkákra építve vizsgálja a modern termelési koncepciók és a szervezeti kultúra kapcsolatát. A szervezeti kultúra empirikus megragadásánál az egyik széles körben elfogadott eszközt, a versengő értékek modelljét (Competing Values Framework – CVF) állítja középpontba. A tanulmány az első felében bemutatja a szervezeti kultúra kutatásának motivációit, a releváns irodalomként meghatározott kiemelt cikkek kiválasztásának lépéseit, a CVF-modellt. A tanulmány második része foglalkozik, hogy a kiválasztott forrásokban leírt kutatások milyen kapcsolatot tártak fel a CVF-modellel megragadott szervezeti kultúra és három modern termelési koncepció, a teljes körű minőségmenedzsment (TQM), a fejlett termeléstechnológia (Advanced Manufacturing Technology – AMT) és a lean menedzsment esetében. A szerzők a cikk végén a hazai kutatások eredményeit mutatják be, majd a tanulmány fő megállapításait összegzik.

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Jelen tanulmány a posztmodern kor fogyasztási tendenciáit és a posztmodern marketing sajátos fejlődését elemzi, elsősorban a turizmus példáján. A szerzők a hazai és a nemzetközi szakirodalom, illetve saját kutatásaik és megfigyeléseik alapján ütköztetik az ismert és elfogadott elveket, elméleteket a gyakorlattal, és felhívják a figyelmet a marketingtevékenység alkalmazkodásának hazai problémáira. A Vezetéstudomány című folyóirat 2008/9. számában rendkívül érdekes tanulmány jelent meg Mitev Ariel Zoltán és Horváth Dóra tollából „A posztmodern marketing rózsaszirmai” címmel. A tanulmány előremutató, érdekfeszítő és minden tekintetben konstruktív, újszerű. Jelen tanulmány szerzőire is nagy hatást gyakorolt a cikk, nagyrészt felsorolt erényei miatt, de egyes esetekben kiegészítést kívánva. Mindenképpen inspirálta a továbblépést, az újabb adalékok megfogalmazását, amire ezúton e tanulmány szerzői kísérletet tettek. A cikk egyben szerves gondolati folytatása a szerzőpáros korábbi közös publikációinak, elsősorban a Marketing & Menedzsment folyóiratban megjelent cikknek. _______ In this article the author will analyze consumption tendencies of post-modern age, mainly using tourism marketing examples. Their analysis has been based on results of their own researches and researches published in Hungarian and international marketing literature. In this article they try to confront different theories of post-modern marketing and they will analyze problems of applicability of these theories in Hungarian marketing problem solving. An extremely interesting article was published in Vezetéstudomány (2008/9), written by Zoltán Mitev Ariel and Dóra Horváth, and this article, by its interesting, innovative and constructive aspect has largely influenced authors of present article to continue the path proposed in the abovementioned article. The article, in the same time, is an organic continuation of the earlier common publications of the authors, e.g. the recent article in Marketing & Menedzsment journal.

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We appreciate very helpful reviews by Dr. Martin Stokes and three anonymous reviewers and editor Dr. Richard Marston. We also appreciate the encouragement for writing this paper from Dr. Timothy Horscroft. We acknowledge support of the sponsors of the Fluvial Systems Research Group consortium, BP, BG, Chevron, ConocoPhillips and Total.

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We appreciate very helpful reviews by Dr. Martin Stokes and three anonymous reviewers and editor Dr. Richard Marston. We also appreciate the encouragement for writing this paper from Dr. Timothy Horscroft. We acknowledge support of the sponsors of the Fluvial Systems Research Group consortium, BP, BG, Chevron, ConocoPhillips and Total.

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Acknowledgments Support for this work came from the SAFARI consortium which was funded by Bayern Gas, ConocoPhillips, Dana Petroleum, Dong Energy, Eni Norge, GDF Suez, Idemitsu, Lundin, Noreco, OMV, Repsol, Rocksource, RWE, Statoil, Suncor, Total, PDO, VNG and the Norwegian Petroleum Directorate (NPD). This manuscript has benefited from discussion with Bruce Ainsworth, Rachel Nanson and Christian Haug Eide. Boyan Vakarelov and Richard Davis Jr. are thanked for their constructive reviews and valuable comments that helped to improve the manuscript.

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Peer reviewed

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MC is grateful to Karen Lupo and Brian Codding for the invitation to participate in the symposium honouring Jim O’Connell at the 2015 annual meeting of the Society for American Archaeology in San Francisco, and for the invitation to contribute to this special issue of the Journal of Anthropological Archaeology. We thank Conrad Brimacombe, Kate Britton, Keith Dobney, Mana Dembo, Marina Elliott, Ian Gilligan, Brian Hayden, Trenton Holliday, Vance Hutchinson, Steve Kuhn, Dana Lepofsky, Lee Lyman, Luseadra McKerracher, Kim Plomp, Bernard Wood, and an anonymous reviewer for their comments on earlier versions of this paper. Ian Gilligan’s comments in particular resulted in major changes to the interpretation of the results. MC is supported by the Social Sciences and Humanities Research Council of Canada, the Canada Research Chairs Program, the Canada Foundation for Innovation, the British Columbia Knowledge Development Fund, and Simon Fraser University. LT work on the study reported here was supported by the Social Sciences and Humanities Research Council of Canada (award no. 755-2011-0406). We are grateful to all these funding bodies. Last but not least, MC would like to express his gratitude to Jim O’Connell for his friendship and guidance over nearly 20 years. Thanks Jim. You’re the dog’s bollocks.

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Book review: Romantic Catholics: France’s Postrevolutionary Generation in Search of a Modern Faith. By Carol E. Harrison. Ithaca: Cornell University Press, 2014. 344 pp., ill.

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X-ray computed tomography (CT) imaging constitutes one of the most widely used diagnostic tools in radiology today with nearly 85 million CT examinations performed in the U.S in 2011. CT imparts a relatively high amount of radiation dose to the patient compared to other x-ray imaging modalities and as a result of this fact, coupled with its popularity, CT is currently the single largest source of medical radiation exposure to the U.S. population. For this reason, there is a critical need to optimize CT examinations such that the dose is minimized while the quality of the CT images is not degraded. This optimization can be difficult to achieve due to the relationship between dose and image quality. All things being held equal, reducing the dose degrades image quality and can impact the diagnostic value of the CT examination.

A recent push from the medical and scientific community towards using lower doses has spawned new dose reduction technologies such as automatic exposure control (i.e., tube current modulation) and iterative reconstruction algorithms. In theory, these technologies could allow for scanning at reduced doses while maintaining the image quality of the exam at an acceptable level. Therefore, there is a scientific need to establish the dose reduction potential of these new technologies in an objective and rigorous manner. Establishing these dose reduction potentials requires precise and clinically relevant metrics of CT image quality, as well as practical and efficient methodologies to measure such metrics on real CT systems. The currently established methodologies for assessing CT image quality are not appropriate to assess modern CT scanners that have implemented those aforementioned dose reduction technologies.

Thus the purpose of this doctoral project was to develop, assess, and implement new phantoms, image quality metrics, analysis techniques, and modeling tools that are appropriate for image quality assessment of modern clinical CT systems. The project developed image quality assessment methods in the context of three distinct paradigms, (a) uniform phantoms, (b) textured phantoms, and (c) clinical images.

The work in this dissertation used the “task-based” definition of image quality. That is, image quality was broadly defined as the effectiveness by which an image can be used for its intended task. Under this definition, any assessment of image quality requires three components: (1) A well defined imaging task (e.g., detection of subtle lesions), (2) an “observer” to perform the task (e.g., a radiologists or a detection algorithm), and (3) a way to measure the observer’s performance in completing the task at hand (e.g., detection sensitivity/specificity).

First, this task-based image quality paradigm was implemented using a novel multi-sized phantom platform (with uniform background) developed specifically to assess modern CT systems (Mercury Phantom, v3.0, Duke University). A comprehensive evaluation was performed on a state-of-the-art CT system (SOMATOM Definition Force, Siemens Healthcare) in terms of noise, resolution, and detectability as a function of patient size, dose, tube energy (i.e., kVp), automatic exposure control, and reconstruction algorithm (i.e., Filtered Back-Projection– FPB vs Advanced Modeled Iterative Reconstruction– ADMIRE). A mathematical observer model (i.e., computer detection algorithm) was implemented and used as the basis of image quality comparisons. It was found that image quality increased with increasing dose and decreasing phantom size. The CT system exhibited nonlinear noise and resolution properties, especially at very low-doses, large phantom sizes, and for low-contrast objects. Objective image quality metrics generally increased with increasing dose and ADMIRE strength, and with decreasing phantom size. The ADMIRE algorithm could offer comparable image quality at reduced doses or improved image quality at the same dose (increase in detectability index by up to 163% depending on iterative strength). The use of automatic exposure control resulted in more consistent image quality with changing phantom size.

Based on those results, the dose reduction potential of ADMIRE was further assessed specifically for the task of detecting small (<=6 mm) low-contrast (<=20 HU) lesions. A new low-contrast detectability phantom (with uniform background) was designed and fabricated using a multi-material 3D printer. The phantom was imaged at multiple dose levels and images were reconstructed with FBP and ADMIRE. Human perception experiments were performed to measure the detection accuracy from FBP and ADMIRE images. It was found that ADMIRE had equivalent performance to FBP at 56% less dose.

Using the same image data as the previous study, a number of different mathematical observer models were implemented to assess which models would result in image quality metrics that best correlated with human detection performance. The models included naïve simple metrics of image quality such as contrast-to-noise ratio (CNR) and more sophisticated observer models such as the non-prewhitening matched filter observer model family and the channelized Hotelling observer model family. It was found that non-prewhitening matched filter observers and the channelized Hotelling observers both correlated strongly with human performance. Conversely, CNR was found to not correlate strongly with human performance, especially when comparing different reconstruction algorithms.

The uniform background phantoms used in the previous studies provided a good first-order approximation of image quality. However, due to their simplicity and due to the complexity of iterative reconstruction algorithms, it is possible that such phantoms are not fully adequate to assess the clinical impact of iterative algorithms because patient images obviously do not have smooth uniform backgrounds. To test this hypothesis, two textured phantoms (classified as gross texture and fine texture) and a uniform phantom of similar size were built and imaged on a SOMATOM Flash scanner (Siemens Healthcare). Images were reconstructed using FBP and a Sinogram Affirmed Iterative Reconstruction (SAFIRE). Using an image subtraction technique, quantum noise was measured in all images of each phantom. It was found that in FBP, the noise was independent of the background (textured vs uniform). However, for SAFIRE, noise increased by up to 44% in the textured phantoms compared to the uniform phantom. As a result, the noise reduction from SAFIRE was found to be up to 66% in the uniform phantom but as low as 29% in the textured phantoms. Based on this result, it clear that further investigation was needed into to understand the impact that background texture has on image quality when iterative reconstruction algorithms are used.

To further investigate this phenomenon with more realistic textures, two anthropomorphic textured phantoms were designed to mimic lung vasculature and fatty soft tissue texture. The phantoms (along with a corresponding uniform phantom) were fabricated with a multi-material 3D printer and imaged on the SOMATOM Flash scanner. Scans were repeated a total of 50 times in order to get ensemble statistics of the noise. A novel method of estimating the noise power spectrum (NPS) from irregularly shaped ROIs was developed. It was found that SAFIRE images had highly locally non-stationary noise patterns with pixels near edges having higher noise than pixels in more uniform regions. Compared to FBP, SAFIRE images had 60% less noise on average in uniform regions for edge pixels, noise was between 20% higher and 40% lower. The noise texture (i.e., NPS) was also highly dependent on the background texture for SAFIRE. Therefore, it was concluded that quantum noise properties in the uniform phantoms are not representative of those in patients for iterative reconstruction algorithms and texture should be considered when assessing image quality of iterative algorithms.

The move beyond just assessing noise properties in textured phantoms towards assessing detectability, a series of new phantoms were designed specifically to measure low-contrast detectability in the presence of background texture. The textures used were optimized to match the texture in the liver regions actual patient CT images using a genetic algorithm. The so called “Clustured Lumpy Background” texture synthesis framework was used to generate the modeled texture. Three textured phantoms and a corresponding uniform phantom were fabricated with a multi-material 3D printer and imaged on the SOMATOM Flash scanner. Images were reconstructed with FBP and SAFIRE and analyzed using a multi-slice channelized Hotelling observer to measure detectability and the dose reduction potential of SAFIRE based on the uniform and textured phantoms. It was found that at the same dose, the improvement in detectability from SAFIRE (compared to FBP) was higher when measured in a uniform phantom compared to textured phantoms.

The final trajectory of this project aimed at developing methods to mathematically model lesions, as a means to help assess image quality directly from patient images. The mathematical modeling framework is first presented. The models describe a lesion’s morphology in terms of size, shape, contrast, and edge profile as an analytical equation. The models can be voxelized and inserted into patient images to create so-called “hybrid” images. These hybrid images can then be used to assess detectability or estimability with the advantage that the ground truth of the lesion morphology and location is known exactly. Based on this framework, a series of liver lesions, lung nodules, and kidney stones were modeled based on images of real lesions. The lesion models were virtually inserted into patient images to create a database of hybrid images to go along with the original database of real lesion images. ROI images from each database were assessed by radiologists in a blinded fashion to determine the realism of the hybrid images. It was found that the radiologists could not readily distinguish between real and virtual lesion images (area under the ROC curve was 0.55). This study provided evidence that the proposed mathematical lesion modeling framework could produce reasonably realistic lesion images.

Based on that result, two studies were conducted which demonstrated the utility of the lesion models. The first study used the modeling framework as a measurement tool to determine how dose and reconstruction algorithm affected the quantitative analysis of liver lesions, lung nodules, and renal stones in terms of their size, shape, attenuation, edge profile, and texture features. The same database of real lesion images used in the previous study was used for this study. That database contained images of the same patient at 2 dose levels (50% and 100%) along with 3 reconstruction algorithms from a GE 750HD CT system (GE Healthcare). The algorithms in question were FBP, Adaptive Statistical Iterative Reconstruction (ASiR), and Model-Based Iterative Reconstruction (MBIR). A total of 23 quantitative features were extracted from the lesions under each condition. It was found that both dose and reconstruction algorithm had a statistically significant effect on the feature measurements. In particular, radiation dose affected five, three, and four of the 23 features (related to lesion size, conspicuity, and pixel-value distribution) for liver lesions, lung nodules, and renal stones, respectively. MBIR significantly affected 9, 11, and 15 of the 23 features (including size, attenuation, and texture features) for liver lesions, lung nodules, and renal stones, respectively. Lesion texture was not significantly affected by radiation dose.

The second study demonstrating the utility of the lesion modeling framework focused on assessing detectability of very low-contrast liver lesions in abdominal imaging. Specifically, detectability was assessed as a function of dose and reconstruction algorithm. As part of a parallel clinical trial, images from 21 patients were collected at 6 dose levels per patient on a SOMATOM Flash scanner. Subtle liver lesion models (contrast = -15 HU) were inserted into the raw projection data from the patient scans. The projections were then reconstructed with FBP and SAFIRE (strength 5). Also, lesion-less images were reconstructed. Noise, contrast, CNR, and detectability index of an observer model (non-prewhitening matched filter) were assessed. It was found that SAFIRE reduced noise by 52%, reduced contrast by 12%, increased CNR by 87%. and increased detectability index by 65% compared to FBP. Further, a 2AFC human perception experiment was performed to assess the dose reduction potential of SAFIRE, which was found to be 22% compared to the standard of care dose.

In conclusion, this dissertation provides to the scientific community a series of new methodologies, phantoms, analysis techniques, and modeling tools that can be used to rigorously assess image quality from modern CT systems. Specifically, methods to properly evaluate iterative reconstruction have been developed and are expected to aid in the safe clinical implementation of dose reduction technologies.

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The aim of this project is to carry out a linguistic analysis of a group of modern and contemporary narratives written by authors from the same Italian region: Piedmont. The novels and short stories examined stand out for the intriguing ways in which they move between a variety of idioms – Italian, Piedmontese dialects, English and pastiches, with some rare excursions into French. A sociolinguistic study and an overview of political changes that Piedmont underwent from the sixteenth to the twenty-first centuries are provided, with the purpose of outlining the region’s sociogeographical and historical background which can be seen to have fostered multilingualism in a group of writers. With the support of linguistic studies and philosophical theories on the relation between identity, alterity and language (such as Edwards’s Language and Identity and Bakhtin’s reflections on language), I then elucidate the presence of diverse linguistic varieties in selected narratives by Cesare Pavese, Beppe Fenoglio, Primo Levi, Nanni Balestrini, Fruttero & Lucentini, Benito Mazzi and Younis Tawfik. In other words, my purpose is to explain the reasons for multilingualism in each writer, as well as to underscore the ideological positions which lie behind the linguistic strategies of the authors. With this study I attempt to fill a gap and cast new light on Piedmontese literature. Although some critical studies on the use of dialect or English exist on individual authors and works (e.g. Meddemmem on Fenoglio’s use of English and Beccaria on Pavese’s inclusion of Piedmontese dialect), and some important contributions to the history of Piedmontese literature have appeared in print, to date no current, systematic study that compares different Piedmontese writers under the language/identity theme has been published. The study concludes with a summary of the evolution of plurilingualism in Piedmont and highlights the common trends in the use of multiple linguistic varieties as tools for both social demarcation and an opening up to alternative, marginalised andforeign cultures.

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From Leighton to Lucas this fascinating book explores sculpture in Britain from the end of the Victorian era to the dawn of the new millennium. With incisive essays, and previously unpublished archive material, this compelling book documents the seismic shifts in sculpture in the last century. Edited by Penelope Curtis (former Curator of the Henry Moore Institute, now Director of the Tate Britain) and Keith Wilson (Sculptor, tutor at the Royal College of Art and Reader in Fine Art at University of Westminster).