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Wassergefiltertes Infrarot A (wIRA) ist eine spezielle Form der Wärmestrahlung mit hohem Eindringvermögen in das Gewebe bei geringer thermischer Oberflächenbelastung. wIRA wirkt sowohl über thermische und temperaturabhängige als auch über nicht-thermische und temperaturunabhängige Effekte. wIRA erzeugt ein therapeutisch nutzbares Wärmefeld im Gewebe und steigert Temperatur und Sauerstoffpartialdruck im Gewebe sowie die Gewebedurchblutung. Diese drei Faktoren sind entscheidend für eine ausreichende Versorgung des Gewebes mit Energie und Sauerstoff und deshalb auch für alle Prozesse der Regeneration und Heilung, wie Wundheilung und Infektionsabwehr. wIRA vermag Schmerzen deutlich zu mindern (mit bemerkenswert niedrigerem Analgetikabedarf) und eine erhöhte Sekretion (bei Wunden oder z.B. tracheal/bronchial) und Entzündung herabzusetzen sowie positive immunmodulierende Effekte zu zeigen. wIRA kann sowohl bei akuten als auch bei chronischen Wunden einschließlich infizierter Wunden die Wundheilung beschleunigen oder bei stagnierender Wundheilung verbessern. Selbst der normale Wundheilungsprozess kann verbessert werden. wIRA kann zur Therapie von hartnäckigen vulgären Hand- und Fußwarzen (ein Therapiezyklus mit kontinuierlicher Keratolyse mit Salizylsäurepflaster, unblutiger Kürettage, einer wIRA-Bestrahlung von 30 Minuten pro Woche für 6-9 Wochen), bei Herpes labialis, Herpes zoster, Condylomata acuminata, Sklerodermie, Morphea und Akne papulopustulosa eingesetzt werden. wIRA kann zur Resorptionsverbesserung topischer Dermatika und Substanzen (wie Cortison oder lokaler Anästhetika) als Alternative zu einem Okklusivverband verwendet werden. wIRA kann im Rahmen einer photodynamischen Therapie zusammen mit einer oder mehreren Wirkbanden im sichtbaren Bereich und einem topisch aufgetragenen Photosensibilisator bei aktinischen Keratosen eingesetzt werden. Im Rahmen von Physiotherapie, Sportmedizin und Orthopädie kann die klinische Anwendung von wIRA präventiv, therapeutisch, regenerativ oder rehabilitativ erfolgen. wIRA kann eingesetzt werden bei muskulären Verspannungen, Myogelosen, Lumbago, Erkrankungen des rheumatischen Formenkreises, M. Bechterew, Arthrosen, Arthritiden, Kontusionen, Fibromyalgie (vorzugsweise wIRA in Kombination mit Bewegung, d.h. wIRA mit leichter Ergometerarbeit), zur Regeneration nach Sport (wIRA allein oder wIRA in Kombination mit Bewegung), zur postoperativen Rehabilitation und zur Förderung der Lipolyse (wIRA in Kombination mit Bewegung). In der Neonatologie kann wIRA zur Aufrechterhaltung oder Erhöhung der Körpertemperatur und zum Erzeugen eines "Wärmedepots" vor einem erforderlichen Transport des Neugeborenen verwendet werden. In der Onkologie kann wIRA für eine (lokale oder systemische) Hyperthermie in Kombination mit Strahlentherapie oder Chemotherapie eingesetzt werden.
In the context of information theory, the term Mutual Information has first been formulated by Claude Elwood Shannon. Information theory is the consistent mathematical description of technical communication systems. To this day, it is the basis of numerous applications in modern communications engineering and yet became indispensable in this field. This work is concerned with the development of a concept for nonlinear feature selection from scalar, multivariate data on the basis of the mutual information. From the viewpoint of modelling, the successful construction of a realistic model depends highly on the quality of the employed data. In the ideal case, high quality data simply consists of the relevant features for deriving the model. In this context, it is important to possess a suitable method for measuring the degree of the, mostly nonlinear, dependencies between input- and output variables. By means of such a measure, the relevant features could be specifically selected. During the course of this work, it will become evident that the mutual information is a valuable and feasible measure for this task and hence the method of choice for practical applications. Basically and without the claim of being exhaustive, there are two possible constellations that recommend the application of feature selection. On the one hand, feature selection plays an important role, if the computability of a derived system model cannot be guaranteed, due to a multitude of available features. On the other hand, the existence of very few data points with a significant number of features also recommends the employment of feature selection. The latter constellation is closely related to the so called "Curse of Dimensionality". The actual statement behind this is the necessity to reduce the dimensionality to obtain an adequate coverage of the data space. In other word, it is important to reduce the dimensionality of the data, since the coverage of the data space exponentially decreases, for a constant number of data points, with the dimensionality of the available data. In the context of mapping between input- and output space, this goal is ideally reached by selecting only the relevant features from the available data set. The basic idea for this work has its origin in the rather practical field of automotive engineering. It was motivated by the goals of a complex research project in which the nonlinear, dynamic dependencies among a multitude of sensor signals should be identified. The final goal of such activities was to derive so called virtual sensors from identified dependencies among the installed automotive sensors. This enables the real-time computability of the required variable without the expenses of additional hardware. The prospect of doing without additional computing hardware is a strong motive force in particular in automotive engineering. In this context, the major problem was to find a feasible method to capture the linear- as well as the nonlinear dependencies. As mentioned before, the goal of this work is the development of a flexibly applicable system for nonlinear feature selection. The important point here is to guarantee the practicable computability of the developed method even for high dimensional data spaces, which are rather realistic in technical environments. The employed measure for the feature selection process is based on the sophisticated concept of mutual information. The property of the mutual information, regarding its high sensitivity and specificity to linear- and nonlinear statistical dependencies, makes it the method of choice for the development of a highly flexible, nonlinear feature selection framework. In addition to the mere selection of relevant features, the developed framework is also applicable for the nonlinear analysis of the temporal influences of the selected features. Hence, a subsequent dynamic modelling can be performed more efficiently, since the proposed feature selection algorithm additionally provides information about the temporal dependencies between input- and output variables. In contrast to feature extraction techniques, the developed feature selection algorithm in this work has another considerable advantage. In the case of cost intensive measurements, the variables with the highest information content can be selected in a prior feasibility study. Hence, the developed method can also be employed to avoid redundance in the acquired data and thus prevent for additional costs.
Extrait des Minutes de la Secrétairerie d’Etat au quartier imperial de St Polten, le 22 brumaire an 14 Napoléon Empereur des Français et Roi d’Italie Sur le rapport de notre ministre de l’interieur Nous avons décreté et décretons ce qui suit Dispositions Générales Art. 1er l’Ecole existante dans le local du ci devant Gymnase Laurentien à Cologne, Departement de la Roer, prendra à l’avenir le titre d’Ecole secondaire communale de premier dégré II. Independamment de cette école, il en sera établi une autre sous le nom d’Ecole secondaire communale de second dégré. Le batiment et dépendances du collège des Jesuites du ci-devant couvent de St. Maximin sont concédé à la Ville de Cologne pour l’usage de cette école III. Tous les biens capitaux et revenus des fondations et bourses d’études des ci-devant Gymnases, et tous les biens capitaux et revenus provenant des Jésuites supprimés spécialement et originairement affectés aux établissemens d’instruction publiques de Cologne sont destinés à l’entretien des écoles de premier et second dégré de cette Ville
Die Folgen der französischen Vorherrschaft in Westdeutschland um 1800 sind ganz unterschiedlich bewertet worden. Manchmal schien der Verlust ‚nationaler‘ Selbstbestimmung entscheidend, so dass sie als düstere Jahre der Unterdrückung beschrieben wurden; manchmal stand der Aufbruch im Vordergrund, den die Modernisierung von Recht, Verwaltung und Wirtschaft, das Ende korporativer Autonomien und der Zuwachs an individuellen Mobilitätschancen zu ermöglichen schien. Auch im Bildungsbereich tritt beides vor Augen. Der Ersatz der ‚alten‘ Universitäten auf dem linken Rheinufer in Mainz und Köln durch neue Schultypen, zunächst Zentralschule und, in Köln, Sekundärschule, später durch preußische Gymnasien, ging mit zukunftsweisenden Reformen des Lehrplans und dem partiellen Abbau von Standesschranken einher. Zudem verzichteten die französischen Behörden auf die Verstaatlichung des bislang für die Bildung vorgesehenen Vermögens, und ermöglichten somit die Konsolidierung einer in Köln bis heute selbständigen Stiftung. Diese Neuordnung war aber zugleich Teil einer besatzungsähnlichen Politik, welche die in mancherlei Hinsicht erreichte Öffnung des höheren Schulwesens wieder einschränkte. Sie führte in beiden Städten zu vielen Jahren, in denen die Bürgerschaft auf den Komfort und das Prestige einer eigenen Universität verzichten musste: in Köln war das bis nach dem Ersten, in Mainz bis nach dem Zweiten Weltkrieg der Fall. ...
A new global crop water model was developed to compute blue (irrigation) water requirements and crop evapotranspiration from green (precipitation) water at a spatial resolution of 5 arc minutes by 5 arc minutes for 26 different crop classes. The model is based on soil water balances performed for each crop and each grid cell. For the first time a new global data set was applied consisting of monthly growing areas of irrigated crops and related cropping calendars. Crop water use was computed for irrigated land and the period 1998 – 2002. In this documentation report the data sets used as model input and methods used in the model calculations are described, followed by a presentation of the first results for blue and green water use at the global scale, for countries and specific crops. Additionally the simulated seasonal distribution of water use on irrigated land is presented. The computed model results are compared to census based statistical information on irrigation water use and to results of another crop water model developed at FAO.
A data set of monthly growing areas of 26 irrigated crops (MGAG-I) and related crop calendars (CC-I) was compiled for 402 spatial entities. The selection of the crops consisted of all major food crops including regionally important ones (wheat, rice, maize, barley, rye, millet, sorghum, soybeans, sunflower, potatoes, cassava, sugar cane, sugar beets, oil palm, rapeseed/canola, groundnuts/peanuts, pulses, citrus, date palm, grapes/vine, cocoa, coffee), major water-consuming crops (cotton), and unspecified other crops (other perennial crops, other annual crops, managed grassland). The data set refers to the time period 1998-2002 and has a spatial resolution of 5 arc minutes by 5 arc minutes which is 8 km by 8 km at the equator. This is the first time that a data set of cell-specific irrigated growing areas of irrigated crops with this spatial resolution was created. The data set is consistent to the irrigated area and water use statistics of the AQUASTAT programme of the Food and Agriculture Organization of the United Nations (FAO) (http://www.fao.org/ag/agl/aglw/aquastat/main/index.stm) and the Global Map of Irrigation Areas (GMIA) (http://www.fao.org/ag/agl/aglw/aquastat/irrigationmap/index.stm). At the cell-level it was tried to maximise consistency to the cropland extent and cropland harvested area from the Department of Geography and Earth System Science Program of the McGill University at Montreal, Quebec, Canada and the Center for Sustainability and the Global Environment (SAGE) of the University of Wisconsin at Madison, USA (http://www.geog.mcgill.ca/~nramankutty/ Datasets/Datasets.html and http://geomatics.geog.mcgill.ca/~navin/pub/Data/175crops2000/). The consistency between the grid product and the input data was quantified. MGAG-I and CC-I are fully consistent to each other on entity level. For input data other than CC-I, the consistency of MGAG-I on cell level was calculated. The consistency of MGAG-I with respect to the area equipped for irrigation (AEI) of GMIA and to the cropland extent of SAGE was characterised by the sum of the cell-specific maximum difference between the MGAG-I monthly total irrigated area and the reference area when the latter was exceeded in the grid cell. The consistency of the harvested area contained in MGAG-I with respect to SAGE harvested area was characterised by the crop-specific sum of the cell-specific difference between MGAG-I harvested area and the SAGE harvested area when the latter was exceeded in the grid cell. In all three cases, the sums are the excess areas that should not have been distributed under the assumption that the input data were correct. Globally, this cell-level excess of MGAG-I as compared to AEI is 331,304 ha or only about 0.12 % of the global AEI of 278.9 Mha found in the original grid. The respective cell-level excess of MGAG-I as compared to the SAGE cropland extent is 32.2 Mha, corresponding to about 2.2 % of the total cropland area. The respective cell-level excess of MGAG-I as compared to the SAGE harvested area is 27 % of the irrigated harvested area, or 11.5 % of the AEI. In a further step that will be published later also rainfed areas were compiled in order to form the Global data set of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000). The data set can be used for global and continental-scale studies on food security and water use. In the future, it will be improved, e.g. with a better spatial resolution of crop calendars and an improved crop distribution algorithm. The MIRCA2000 data set, its full documentation together with future updates will be freely available through the following long-term internet site: http://www.geo.uni-frankfurt.de/ipg/ag/dl/forschung/MIRCA/index.html. The research presented here was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) within the framework of the research project entitled "Consistent assessment of global green, blue and virtual water fluxes in the context of food production: regional stresses and worldwide teleconnections". The authors thank Navin Ramankutty and Chad Monfreda for making available the current SAGE datasets on cropland extent (Ramankutty et al., 2008) and harvested area (Monfreda et al., 2008) prior to their publication.
The introduction of a common currency as well as the harmonization of rules and regulations in Europe has significantly reduced distance in all its guises. With reduced costs of overcoming space, this emphasizes centripetal forces and it should foster consolidation of financial activity. In a national context, as a rule, this led to the emergence of one financial center. Hence, Europeanization of financial and monetary affairs could foretell the relegation of some European financial hubs such as Frankfurt and Paris to third-rank status. Frankfurt’s financial history is interesting insofar as it has lost (in the 1870s) and regained (mainly in the 1980s) its preeminent place in the German context. Because Europe is still characterized by local pockets of information-sensitive assets as well as a demand for variety the national analogy probably does not hold. There is room in Europe for a number of financial hubs of an international dimension, including Frankfurt.