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Conference Reader zur gemeinsam von Athansios Orphanides (Federal Reserve Board, Washington D.C.), John C. Williams (Federal Reserve Bank of San Francisco), Heinz Hermann (Deutsche Bundesbank), und Volker Wieland (Center for Financial Studies and Goethe University Frankfurt) organisierten Konferenz, die vom 30. - 31. August, 2003 in Eltville stattgefunden hat. Inhaltsverzeichnis: * Volker Wieland (Director Center for Financial Studies): Foreword * Hans Georg Fabritius (Member of the Executive Board of the Deutsche Bundesbank): Opening Remarks * Charles Goodhart (Norman Sosnow Professor of Banking and Finance at the London School of Economics and External Member of the Bank of England's Monetary Policy Commitee): After Dinner Speech * Paper Abstracts * List of Participants
Rechenschaftsbericht des Präsidiums 2002-2003 / Präsidium der Johann Wolfgang Goethe-Universität
(2004)
IFLS-Journal. Nr. 6, 2004
(2004)
IFLS-Journal. Nr. 5, 2004
(2004)
Using faculty-librarian partnerships to ensure that students become information fluent in the 21st century In the 21st century educators in partnership with librarians must prepare students effectively for productive use of information especially in higher education. Students will need to graduate from universities with appropriate information and technology skills to enable them to become productive citizens in the workplace and in society. Technology is having a major impact on society; in economics e-business is moving to the forefront; in communication e-mail, the Internet and cellular telephones have reformed how people communicate; in the work environment computers and web utilizations are emphasized and in education virtual learning and teaching are becoming more important. These few examples indicate how the 21st century information environment requires future members of the workforce to be information fluent so they will have the ability to locate information efficiently, evaluate information for specific needs, organize information to address issues, apply information skillfully to solve problems, use information to communicate effectively, and use information responsibly to ensure a productive work environment. Individuals can achieve information fluency by acquiring cultural, visual, computer, technology, research and information management skills to enable them to think critically.
Teaching information literacy: substance and process This presentation explores the concept of information literacy within the broader context of higher education. It argues that, certain assertions in the library literature notwithstanding, the concepts associated with information literacy are not new, but rather very closely resemble the qualities traditionally considered to characterize a well-educated person. The presentation also considers the extent to which the higher education system does indeed foster the attributes commonly associated with information literacy. The term information literacy has achieved the immediacy it currently enjoys within the library community with the advent of the so-called "information age" The information age is commonly touted in the literature, both popular and professional, as constituting nothing short of a revolution. Academic librarians and other educators have of course felt called upon to make their teaching reflect both the growing proliferation of information formats and the major transformations affecting the process of information seeking. Faced with so much novelty and uncertainty, it is no surprise that many have felt that these changes call for a revolution in teaching. It is within this context that the concept of information literacy has flourished. It is argued in this presentation, however, that by treating information literacy as an essentially new specialty that owes much of its importance to the plethora of electronic information, we risk obscuring some of the most fundamental and enduring educational values we should be imparting to our students. Much of the literature on information literacy assumes - rather than argues - that recent changes in the way we approach education are indications of progress. Indeed, much of the self-narrative that institutions produce (in bulletins, mission statements, web sites, etc.) endorses an approach to education that will result in lifelong learners who are critical consumers of information. After critically examining the degree to which such statements of educational approach reflect reality, this presentation concludes by considering the effects of certain changes in the culture of higher education. It considers particularly the transformation - at least in North America - of the traditional model of higher education as a public good to a market-driven business model. It poses the question of whether a change of this significance might in fact detract from, rather than promote, the development of information literate students.
Mexiko und Venezuela
(2004)
Since the description of sepsis by Schottmüller in 1914, the amount on knowledge available on sepsis and its underlying pathophysiology has substantially increased. Epidemiologic examinations of abdominal septic shock patients show the potential for high risk posed by and the extensive therapy situation in the intensive care unit (ICU) (5). Unfortunately, until now it has not been possible to significantly reduce the mortality rate of septic shock, which is as high as 50-60% worldwide, although PROWESS' results (1) are encouraging. This paper summarizes the main results of the MEDAN project and their medical impacts. Several aspects are already published, see the references. The heterogeneity of patient groups and the variations in therapy strategies is seen as one of the main problems for sepsis trials. In the MEDAN multi-center study of 71 intensive care units in Germany, a group of 382 patients made up exclusively of abdominal septic shock patients who met the consensus criteria for septic shock (3) was analysed. For use within scores or stand-alone experiments variables are often studied as isolated variables, not as a multidimensional whole, e.g. a recent study takes a look at the role thrombocytes play (15). To avoid this limitation, our study compares several established scores (SOFA, APACHE II, SAPS II, MODS) by a multi-dimensional neuronal network analysis. For outcome prediction the data of 382 patients was analysed by using most of the commonly documented vital parameters and doses of medicine (metric variables). Data was collected in German hospitals from 1998 to 2001. The 382 handwritten patient records were transferred to an electronic database giving the amount of 2.5 million data entries. The metric data contained in the database is composed of daily measurements and doses of medicine. We used range and plausibility checks to allow no faulty data in the electronic database. 187 of the 382 patients are deceased (49 %).
Data driven automatic model selection and parameter adaptation – a case study for septic shock
(2004)
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the available data. Here, the approach of systematically learning the parameters is necessary. This paper propose as model selection criterion the least complex description of the observed data by the model, the minimum description length. For the small, but important example of inflammation modeling the performance of the approach is evaluated.
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the available data. Here, the approach of systematically obtaining the most appropriate model and learning its parameters is extremely interesting. One of the most often used approaches for model selection is to choose the least complex model which “fits the needs”. For noisy measurements, the model which has the smallest mean squared error of the observed data results in a model which fits too accurately to the data – it is overfitting. Such a model will perform good on the training data, but worse on unknown data. This paper propose as model selection criterion the least complex description of the observed data by the model, the minimum description length. For the small, but important example of inflammation modeling the performance of the approach is evaluated. Keywords: biochemical pathways, differential equations, septic shock, parameter estimation, overfitting, minimum description length.
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the available data. Here, the approach of systematically learning the parameters is necessary. In this paper, for the small, important example of inflammation modeling a network is constructed and different learning algorithms are proposed. It turned out that due to the nonlinear dynamics evolutionary approaches are necessary to fit the parameters for sparse, given data. Keywords: model parameter adaption, septic shock. coupled differential equations, genetic algorithm.