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Faculty / Organisational entity
- Kaiserslautern - Fachbereich Chemie (389)
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Wissenschaftliche Evidenz zum Thema "(Un-)Wirksamkeit von Strafe" wird in der Öffentlichkeit kontrovers diskutiert. In der vorliegenden Arbeit wird vermutet, dass es bei der Rezeption zu motivierten Verzerrungen, genauer gesagt, zu einer Bedrohung der moralischen Wertvorstellungen kommt, infolgedessen wissenschaftliche Erkenntnisse diskreditiert und abgelehnt werden. Hierfür wurde zunächst die moralische Begründung von persönlichen Strafeinstellungen systematisch untersucht. Dabei zeigte sich, dass eine deliktspezifische (nach Kriminalitätsbereichen aufgeteilte) Betrachtung erforderlich ist. Regressionsanalysen konnten die qualitativen Unterschiede hinsichtlich der zugrundeliegenden Wertvorstellungen belegen. Die Art und Weise der Operationalisierung erwies sich hierbei als entscheidend für den "moralischen Gehalt" der individuellen Strafeinstellung.
Eine Bedrohung moralischer Wertvorstellungen durch einen wissenschaftlichen Artikel, der sich gegen die Wirksamkeit von harten Strafen (deliktspezifisch) ausspricht, konnte nicht nachgewiesen werden. Weitere Moderationsanalysen offenbarten jedoch unabhängig von den persönlichen Wertvorstellungen eine motivierte Verzerrung bei der Rezeption des Artikels: TeilnehmerInnen, die an die Wirksamkeit von Strafe glaubten, bewerteten einen Artikel, der dies widerlegte, schlechter als diejenigen, die einen Artikel lasen, der dies bestätigte. Diese Verzerrungen liegen jedoch nicht in einer moralischen Bedrohung begründet, sondern lassen sich vielmehr als Strategie zur Auflösung von Dissonanz bei Konfrontation mit einstellungsinkonsistenten Inhalten verstehen. Kern des Problems sind offenbar nicht die untersuchten persönlichen Wertvorstellungen und deren Bedrohung, sondern das hohe Ausmaß der Diskrepanz zwischen öffentlicher und wissenschaftlicher Meinung. Diese Erkenntnis ist insofern von Bedeutung, als dass sie ein Bewusstsein für die Gefahren (z.B. eines Bumerang-Effekts) bei der Kommunikation der Inhalte schafft.
Insgesamt betrachtet tragen die Ergebnisse zu einem tieferen Verständnis persönlicher Strafeinstellungen bei und liefern Ansatzpunkte für die Entwicklung von Strategien zur überzeugenden Kommunikation kriminologischer Erkenntnisse bezüglich der Sinnhaftigkeit von Strafe.
Riesling wird neben seiner mannigfaltigen Variabilität im Aromaprofil, das unter anderem durch die unterschiedliche Bodenbeschaffenheit entsteht, vor allem in Deutschland auch wegen seiner Kältetoleranz und Anpassungsfähigkeit geschätzt. Er gilt zudem auch als alterungsfähiger Wein, allerdings kommt es bei zu starker Sonnenexposition der Rebe und langer bzw. warmer Lagerung vermehrt zur Bildung von 1,1,6-Trimethyl-1,2-dihydronaphthalin (TDN). Dieser von Carotinoiden abstammende Aromastoff verursacht die sogenannte „Petrolnote“, die vor allem in wärmeren Anbauregionen zum sortentypischen Bukett des Rieslings gehört. Deutsche Rieslingweine zeichnen sich dagegen überwiegend durch einen säurebetonten, fruchtigen Charakter aus, bei dem das Auftreten einer Petrolnote vor allem im Fall von Jungweinen als unpassende Fehlnote empfunden wird.
Das Ziel der vorliegenden Arbeit war deswegen, die sensorische Relevanz von TDN zu evaluieren und Maßnahmen zu realisieren, die geeignet sind, die Konzentrationen an freiem und gebundenem TDN zu verringern und dadurch das Auftreten der Petrolnote zu vermeiden.
Dafür wurde zunächst in Kapitel 6.1 die Empfindlichkeit von Verbrauchern und geschulten Prüfern gegenüber TDN sowie die Konzentration bestimmt, ab der die Petrolnote zu einer Ablehnung des Weins durch Verbraucher führt. Während geschulte Prüfer Rieslingweine bereits ab einem TDN-Gehalt von 2,3 µg/L unterscheiden konnten, lag die Wahrnehmungsschwelle von 156 Verbrauchern mit 14,7 µg/L um ein Mehrfaches darüber, und wurde außerdem durch das Geschlecht der Probanden beeinflusst. Die Petrolnote führte ab TDN-Gehalten von 60 µg/L bei einjährigem und 91 µg/L bei achtjährigem Riesling zur Ablehnung des Weins. Die Konzentration an freiem TDN in 261 Rieslingweinen aus drei verschiedenen Weinwettbewerben überstieg bei rund der Hälfte der Weine die Wahrnehmungsschwelle von geschulten Prüfern, während die Wahrnehmungsschwelle von Verbrauchern nur von 15% der Weine überschritten wurde. Gleichzeitig lag bei keinem der Weine der TDN-Gehalt über der Ablehnungsschwelle.
Durch die Evaluierung der instrumentellen Analyseparameter in Kapitel 6.2 wurde für die Untersuchung von freiem TDN und weiteren Aromastoffen eine Methode entwickelt, die es ermöglicht, nicht nur die TDN-Konzentrationen zu erfassen, sondern auch eine umfassende Qualitätsbewertung der Versuchsweine durchzuführen. Parallel dazu wurde eine Schnellmethode zur Erfassung der Gehalte an gebundenem TDN und Vitispiran implementiert, um auch die Effektivität der in dieser Arbeit durchgeführten weinbaulichen und oenologischen Praktiken im Hinblick auf das TDN-Potential zu beurteilen.
Kapitel 6.3 und 6.4 beschreiben weinbauliche Maßnahmen, die in mehrjährigen Studien auf ihre Eignung zur Reduzierung der TDN-Konzentration untersucht wurden. Während bei den Weinen, die aus Beeren unterschiedlicher Größe hergestellt wurden, keine signifikanten Unterschiede über die Jahrgänge hinweg beobachtet wurden, konnte durch die Variation der Rebunterlagen der Gehalt an gebundenem TDN um rund 30% reduziert werden. Ausgangspunkt einer weiteren Versuchsreihe waren acht verschiedene Rieslingklone auf derselben Unterlage, welche anschließend auf ihren TDN Gehalt untersucht wurden. Dabei wurden deutliche Differenzen in der Disposition einiger Klone zu höheren Gehalten an gebundenem TDN festgestellt. Hier ergab sich eine positive Korrelation zwischen der Lockerbeerigkeit der Trauben und der Menge an gebundenem TDN in den produzierten Weinen – je kompakter die Traube, desto weniger gebundenes TDN und gebundenes Vitispiran wurde gebildet. Die höhere Sonnenexposition der Beeren, die diesen Effekt hervorruft, beeinflusste auch die Gehalte an gebundenem TDN und Vitispiran in Weinen, die von Reben geerntet wurden, welche zu unterschiedlichen Zeitpunkten und in variierender Intensität entblättert wurden. Dabei führt sowohl eine maximale Entblätterung in der Traubenzone wie auch die Laubentfernung einen Monat nach der Blüte zu einer Erhöhung der Konzentration an gebundenem TDN und Vitispiran von rund 50%. Entblätterungsmaßnahmen zur Blüte oder zur Véraison, die der Regulierung der Erntemenge und der Traubengesundheit dienen, führten dagegen zu keinem Anstieg im Vergleich zur nicht-entblätterten Kontrolle.
Wie in Kapitel 6.5 ausgeführt wird, resultiert ein hoher Pressdruck beim Keltern sowie ein niedriger Stickstoffgehalt des Mosts in einer Zunahme des gebundenen TDN von 50 100%. Höhere Säuregehalte während der Lagerung verursachten in mehreren Versuchsreihen nicht nur eine höhere Freisetzungsrate von TDN, sondern auch einen verstärkten Abbau anderer Aromastoffe wie Ester, β-Damascenon oder Linalool. Dagegen hatte ein niedriger pH-Wert während der Gärung kaum Einfluss auf den Hefemetabolismus und die dadurch gebildeten Aromastoffe. Die Erhöhung der Gärtemperatur von 12 auf 24 °C hatte jedoch eine Zunahme von honig- oder petrolartigen Noten in den Rieslingweinen zur Folge. Die Verwendung unterschiedlicher Hefestämme führte zu einer Variation der Konzentrationen an gebundenem TDN zwischen 70 und 147 µg/L, abhängig vom Hefestamm und dem Jahrgang. Zwei der untersuchten neun Hefen brachten Weine mit bis zu 40% geringeren Gehalten an gebundenem TDN in Mosten mit hohem Stickstoffgehalt hervor, während drei weitere Hefen besser für den Einsatz in nährstoffarmen Most geeignet waren. Bei der Lagerung der Weine spielte die Lagertemperatur eine entscheidende Rolle in Bezug auf den Gehalt an freiem TDN, gefolgt vom Material des Flaschenverschlusses und der Flaschenorientierung.
Mittels geeigneter Filtermaterialien, die in Kapitel 7 beschrieben sind, wurde der Gehalt an freiem Wein um bis zu 80% reduziert, ohne die meisten der anderen Aromastoffe signifikant zu beeinflussen.
Somit wurde durch diese Arbeit ein vielfältiger Maßnahmenkatalog für die Weinwirtschaft entwickelt, der geeignet ist, den Anforderungen des fortschreitenden Klimawandels entgegenzutreten und die herausragende Position des Rieslings in Deutschland zu sichern.
Der direkte Einstieg in die Phosphorchemie ist durch Reaktion einer Rohlösung von [Cp=Ru(CO)2H] (1) (Cp= = C5H3(SiMe3)2) mit P4 möglich. Dabei erhält man den Komplex [Cp=Ru(CO)2PH2] (6a) mit freier Phosphanidogruppe, der selbst nicht isoliert, dessen Existenz jedoch spektroskopisch und durch Folgereaktionen eindeutig belegt werden kann. Das freie Elektronenpaar des Phosphors kann sowohl durch [M(CO)5(thf)] (M = Cr, Mo, W) (7,8,9) als auch durch [Cp*Re(CO)2(thf)] (14) nach Verlust von deren thf-Liganden komplexiert werden. Das bei der Reaktion mit 14 als Nebenprodukt entstandene [{Cp*(OC)2Re}2(µ-CO)] (17) konnte erstmals röntgenstrukturanalytisch untersucht werden. Die Cothermolyse von [{Cp=Ru(CO)2}2] (4) mit P4 liefert [Cp=Ru(Eta5-P5)] (18) und [{Cp=Ru}2(µ-Eta;2:2-P2)2] (19), die beide röntgenstrukturanalytisch charakterisiert werden konnten. 18 erweist sich als erstes Pentaphosphametallocen, das eine annähernd ideal ekliptische Konformation aufweist. Im Zweikernkomplex 19 konnte ein Komplex der 8. Gruppe mit zwei separaten P2-Brückenliganden eindeutig belegt werden. Die Cothermolyse von 4 mit [Cp*Fe(Eta5-P5)] liefert neben 18 und 19 die Homo- und Heterotrimetallcluster [{Cp=Ru}n{Cp*Fe}3-nP5] (n = 1, 2, 3) mit verzerrt dreiecksdodekaedrischen Gerüststrukturen. Die Röntgenstrukturanalysen von [{Cp=Ru}3P5] (24), [{Cp=Ru}2{Cp*Fe}P5] (25) und [{Cp*Fe}2{Cp=Ru}P5] (26) zeigen, daß die Metallfragmente {Cp*Fe} und {Cp=Ru} nahezu ohne Auswirkungen auf die Gerüststruktur ausgetauscht werden können. Der Vergleich zu den Cp-Derivaten zeigt die annähernde Identität der Verbindungen. Bei 26 bleibt die Stellung des Cp=-Liganden am Ruthenium nach Einbau eines Eisenfragmentes erhalten, während in [{Cp*Fe}2{CpRu}P5] (26a) ein Wechsel in der Stellung des Cp-Liganden stattfindet. Die Photolyse von [Cp=Ru(CO)2H] (1) in THF ergibt die spektroskopisch identifizierten Verbindungen [{Cp=Ru(CO)}2(µ-H)2] (28), [{Cp=Ru(CO)}2{Cp=Ru(CO)H}] (29) und [{Cp=Ru}4(µ3-CO)4] (30). Das in geringen Mengen anfallende 28 konnte als dimere Struktur mit zwei verbrückenden Wasserstoffatomen identifiziert werden. Für Komplex 29 wurde eine Struktur als triangularer Metalldreiring postuliert, der den Verbindungen 33 und 34 sehr ähnlich ist. Bei 29 handelt es sich um einen 46 VE-Komplex mit einer Ru-Ru-Doppelbindung im Dreiring. Verbindung 30 mit tetraedrischem Ru4-Gerüst kann in hoher Ausbeute dargestellt werden. 30 ist luft- und wasserstabil und überaus reaktionsträge. Führt man die Photolyse von 1 in Hexan als nichtkoordinierendem Lösungsmittel durch, so erhält man neben 28 und 29 die Komplexe [{Cp=Ru(µ-CO)}2{Cp=Ru(CO)H}] (33), [{{{Cp=Ru}2(µ-CO)}{Cp=RuH}}(µ3-CO)2] (34) sowie die unbekannte Verbindung 35. Die Röntgenstrukturanalysen von 33 und 34 zeigen zwei mit 46 VE elektronendefiziente, triangulare Ru3-Cluster mit einer M-M-Doppelbindung im Ring, welche beide der Vorgabe der Magischen Zahlen entsprechen. 33 reagiert bereitwillig mit P4 und ergibt [{Cp=Ru}(µ-Eta4:1:1-P4){Ru(CO)Cp=}] (40). Die RSA von 40 zeigt, daß Ru1 um 25,3° aus der Ebene der vier Phosphoratome P1-P4 abgewinkelt und kein planares Tetraphospharuthenol verwirklicht ist. Die Aufsicht auf die P4Ru-Ebene läßt jedoch deutlich das Bestreben erkennen, die Konstitution einer pentagonalen Pyramide auszubilden.
Destructive diseases of the lung like lung cancer or fibrosis are still often lethal. Also in case of fibrosis in the liver, the only possible cure is transplantation.
In this thesis, we investigate 3D micro computed synchrotron radiation (SR\( \mu \)CT) images of capillary blood vessels in mouse lungs and livers. The specimen show so-called compensatory lung growth as well as different states of pulmonary and hepatic fibrosis.
During compensatory lung growth, after resecting part of the lung, the remaining part compensates for this loss by extending into the empty space. This process is accompanied by an active vessel growing.
In general, the human lung can not compensate for such a loss. Thus, understanding this process in mice is important to improve treatment options in case of diseases like lung cancer.
In case of fibrosis, the formation of scars within the organ's tissue forces the capillary vessels to grow to ensure blood supply.
Thus, the process of fibrosis as well as compensatory lung growth can be accessed by considering the capillary architecture.
As preparation of 2D microscopic images is faster, easier, and cheaper compared to SR\( \mu \)CT images, they currently form the basis of medical investigation. Yet, characteristics like direction and shape of objects can only properly be analyzed using 3D imaging techniques. Hence, analyzing SR\( \mu \)CT data provides valuable additional information.
For the fibrotic specimen, we apply image analysis methods well-known from material science. We measure the vessel diameter using the granulometry distribution function and describe the inter-vessel distance by the spherical contact distribution. Moreover, we estimate the directional distribution of the capillary structure. All features turn out to be useful to characterize fibrosis based on the deformation of capillary vessels.
It is already known that the most efficient mechanism of vessel growing forms small torus-shaped holes within the capillary structure, so-called intussusceptive pillars. Analyzing their location and number strongly contributes to the characterization of vessel growing. Hence, for all three applications, this is of great interest. This thesis provides the first algorithm to detect intussusceptive pillars in SR\( \mu \)CT images. After segmentation of raw image data, our algorithm works automatically and allows for a quantitative evaluation of a large amount of data.
The analysis of SR\( \mu \)CT data using our pillar algorithm as well as the granulometry, spherical contact distribution, and directional analysis extends the current state-of-the-art in medical studies. Although it is not possible to replace certain 3D features by 2D features without losing information, our results could be used to examine 2D features approximating the 3D findings reasonably well.
The various uses of fiber-reinforced composites, for example in the enclosures of planes, boats and cars, generates the demand for a detailed analysis of these materials. The final goal is to optimize fibrous materials by the means of “virtual material design”. New fibrous materials are virtually created as realizations of a stochastic model and evaluated with physical simulations. In that way, materials can be optimized for specific use cases, without constructing expensive prototypes or performing mechanical experiments. In order to design a practically fabricable material, the stochastic model is first adapted to an existing material and then slightly modified. The virtual reconstruction of the existing material requires a precise knowledge of the geometry of its microstructure. The first part of this thesis describes a fiber quantification method by the means of local measurements of the fiber radius and orientation. The combination of a sparse chord length transform and inertia moments leads to an efficient and precise new algorithm. It outperforms existing approaches with the possibility to treat different fiber radii within one sample, with high precision in continuous space and comparably fast computing time. This local quantification method can be directly applied on gray value images by adapting the directional distance transforms on gray values. In this work, several approaches of this kind are developed and evaluated. Further characterization of the fiber system requires a segmentation of each single fiber. Using basic morphological operators with specific structuring elements, it is possible to derive a probability for each pixel describing if the pixel belongs to a fiber core in a region without overlapping fibers. Tracking high probabilities leads to a partly reconstruction of the fiber cores in non crossing regions. These core parts are then reconnected over critical regions, if they fulfill certain conditions ensuring the affiliation to the same fiber. In the second part of this work, we develop a new stochastic model for dense systems of non overlapping fibers with a controllable level of bending. Existing approaches in the literature have at least one weakness in either achieving high volume fractions, producing non overlapping fibers, or controlling the bending or the orientation distribution. This gap can be bridged by our stochastic model, which operates in two steps. Firstly, a random walk with the multivariate von Mises-Fisher orientation distribution defines bent fibers. Secondly, a force-biased packing approach arranges them in a non overlapping configuration. Furthermore, we provide the estimation of all parameters needed for the fitting of this model to a real microstructure. Finally, we simulate the macroscopic behavior of different microstructures to derive their mechanical and thermal properties. This part is mostly supported by existing software and serves as a summary of physical simulation applied to random fiber systems. The application on a glass fiber reinforced polymer proves the quality of the reconstruction by our stochastic model, as the effective properties match for both the real microstructure and the realizations of the fitted model. This thesis includes all steps to successfully perform virtual material design on various data sets. With novel and efficient algorithms it contributes to the science of analysis and modeling of fiber reinforced materials.
The fifth-generation (5G) of wireless networks promises to bring new advances, such as a huge increase in mobile data rates, a plunge in communications latency, and an increase in the quality of experience perceived by users that can cope with the ever-increasing demand in Internet traffic. However, the high cost of capital and operational expenditure (CAPEX/OPEX) of the new 5G network and the lack of a killer application hinder its rapid adoption. In this context, Mobile Network Operators (MNOs) have turned their attention to the following idea: opening up their infrastructure so that vertical businesses can leverage the new 5G network to improve their primary businesses and develop new ones. However, deploying multiple isolated vertical applications on top of the same infrastructure poses unique challenges that must be addressed. In this thesis, we provide critical contributions to developing 5G networks to accommodate different vertical applications in an isolated, flexible, and automated manner. This thesis contributions spawn on three main areas: (i) the development of an integrated fronthaul and backhaul network, (ii) the development of a network slicing overbooking algorithm, and (iii) the development of a method to mitigate the noisy neighbors' problem in a vRAN deployment.
Photolysiert man [{Cp R Ru(CO)2}2] (Cp R = Cp", Cp*) (1a,b), in Gegenwart von weißem Phosphor, so können keine phosphorhaltigen Produkte isoliert werden. Setzt man [{Cp"Ru(CO)2}2] (1a) mit weißem Phosphor bei 190 °C in Dekalin um, dann lassen sich als einzige Verbindungen das Pentaphospharuthenocen-Derivat [Cp"Ru(h 5 -P5)] (3a, 6 % Ausbeute) und [Cp"2Ru2P4] (4a, 17 % Ausbeute) säulenchromatographisch abtrennen. Für 4a wird auf Grund seiner spektroskopischen Eigenschaften eine den röntgenstruktur-analytisch charakterisierten pseudo-Tripeldecker-Komplexen [{Cp R Fe}2(micro-h 4:4 -P4)] (Cp R = Cp" [35] , Cp"' [11] ) analoge Struktur mit s-cis-Tetraphosphabutadiendiyl-"Mitteldeck" vorgeschlagen; es sind jedoch auch zwei micro-h 2:2 -P2-Liganden denkbar. Die Cothermolyse von [{Cp"Ru(CO)2}2] (1a) und [Cp*Fe(h 5 -P5)] (2b) ergibt ein breites Produktbild. Während [Cp"Ru(h 5 -P5)] (3a), das chromatographisch nicht von 2b abgetrennt werden konnte, und [Cp"2Ru2P4] (4a, 6 % Ausbeute) in vergleichsweise geringen Mengen entstehen, können [{Cp"Ru}3P5] (6) in 17 % Ausbeute, [{Cp"Ru}2{Cp*Fe}P5] (7) in 7 % Ausbeute, [{Cp*Fe}2{Cp"Ru}P5] (8) in 22 % Ausbeute und [{Cp"Ru}3{Cp*Fe}(P2)2] (9) in 14 % Ausbeute isoliert werden. Für 9 wird, basierend auf den NMR-spektroskopischen Befunden, eine zu [{CpFe}4(P2)2] (10) [24] analoge Struktur mit einem hier verzerrten Dreiecksdodekaedergerüst vorge-schlagen, dessen vier Ecken der Konnektivität fünf von drei Rutheniumatomen und einem Eisenatom besetzt sind und dessen vier Ecken der Konnektivität vier zwei micro-h 2:2:1:1 -P2-Einheiten einnehmen. Es handelt sich bei 9 wie bei 10 um Cluster vom hypercloso-Typ (n+1 = 8 GEP). [30,31] Röntgenstrukturanalysen zeigen, daß 6, 7 und 8 ebenfalls verzerrt dreiecksdodekaedrische Gerüststrukturen besitzen. Damit ist auch die Struktur der bereits früher synthetisierten und spektroskopisch charakterisierten Komplexe [{Cp R Fe}3P5] (Cp R = Cp*, Cp*') (11b,c) [8] geklärt, deren NMR-Daten auf eine enge Verwandtschaft insbesondere mit 6 hinweisen. Gegenüber 9 bzw. 10 [24] mit einem M4P4-Gerüst (M = allgem. Übergangsmetallatom) ist in den Clustern 6, 7, 8 und 11b,c [8] mit M3P5-Gerüst formal ein 13 VE-Metallkomplex-fragment (Konnektivität fünf; 1 GE) durch ein Phosphoratom (3 GE) ersetzt, wodurch der Übergang zum closo-Strukturtyp des Dreiecksdodekaeders (n+1 = 9 GEP) [30,31] vollzogen wird. Die Cluster 6, 7, 8 und 11b,c [8] enthalten eine bisher unbekannte Koordinationsform der P5-Einheit. Bei der thermischen Umsetzung von [{Cp*Ru(CO)2}2] (1b) mit [Cp*Ru(h 5 -P5)] (3b) erhält man als Hauptprodukt den Dreikernkomplex [{Cp*Ru}3(P4)(P)] (17b, 62 % Ausbeute). Als einziges Nebenprodukt kann [Cp*2Ru2P4] (4b, 5 % Ausbeute) säulen-chromatographisch isoliert werden. Die NMR-Daten von 17b lassen in Analogie zum röntgenstrukturanalytisch charakterisierten [{Cp*'Fe}3(P4)(P){Mo(CO)5}] (18c) [8] auf eine cubanartige Struktur schließen, in der die fünf Phosphoratome in Form einer Isotetraphosphid-Einheit und eines einzelnen Phosphoratoms vorliegen. Die Gesamtzahl von 64 Valenzelektronen ist im Einklang mit drei Metall-Metall-Bindungen [31] . Für 4b ist wie für das voranstehend besprochene Cp"-Derivat 4a eine Pseudo- Tripeldecker-Struktur mit s-cis-Tetraphosphabutadiendiyl-"Mitteldeck" oder mit zwei micro-h 2:2 -P2-Liganden zu diskutieren. Thermolysiert man [{Cp* Ru(CO)2}2] (1c) mit 3b, so erhält man die Komplexe [Cp*'nCp*2-nRu2P4] (n = 0,1,2) (4b,d,c) und [{Cp*'Ru}n{Cp*Ru}3-n(P4)(P)] (n = 1,2,3) (17e,d,c) jeweils als nicht auftrennbare Gemische von analog aufgebauten Verbindungen, die sich nur im Zahlenverhältnis der verschiedenen Cyclopentadienyl-Liganden Cp*' und Cp* unterscheiden. In geringem Umfang beobachtet man dabei auch eine cyclo-P5-Übertragung unter Bildung des literaturbekannten [Cp*'Ru(h 5 -P5)] [7,10] , das im Gemisch mit nicht abreagiertem 3b anfällt. Durch Umsetzung mit [W(CO)5(thf)] gelingt die Komplexierung des dreiecks-dodekaedrischen Clusters [{Cp*Fe}2{Cp"Ru}P5] (8) zum Monoaddukt [{Cp*Fe}2{Cp"Ru}P5{W(CO)5}] (19), während beim Komplexierungsversuch des ebenfalls dreiecksdodekaedrischen Clusters [{Cp*'Fe}3P5] (11c) mit [Mo(CO)5(thf)] [8] eine Gerüstumlagerung zur cubanartig aufgebauten Verbindung [{Cp*'Fe}3(P4)(P){Mo(CO)5}] (18c) erfolgt. Der Strukturvorschlag für 19 basiert auf dem 31 P-NMR-Spektrum. Versuche zur Oxidation von 8 mit gelbem Schwefel bei Raumtemperatur führen zu unspezifischer Zersetzung bzw. Folgereaktionen von 8. Orientierende Versuche mit grauem Selen als milderem Oxidationsmittel deuten darauf hin, daß unter geeigneten Reaktionsbedingungen eine einfache Selenierung am endständigen Phosphoratom des P5-Liganden von 8 erfolgt. Bei der Umsetzung von [{Cp"Ru}3{Cp*Fe}(P2)2] (9) mit gelbem Schwefel können je nach Reaktionsbedingungen bis zu drei Phosphoratome oxidiert werden. Vollständige Sulfurierung wie im Falle von [{CpFe}4(P2S2)2] [24] wird nicht beobachtet. Die Sulfurierung ist regioselektiv. Für einen bestimmten Sulfurierungsgrad wird jeweils nur ein Produkt erhalten. Die Strukturvorschläge für die Cluster 21 23 werden anhand ihrer 31 P-NMR-spektroskopischen Daten abgeleitet.
[Halb]- trocken im Unterstockbereich?
„Untersuchungen meteorologisch-hydrologischer Messgrößen im Weinbau als Anpassungsstrategie an den Klimawandel sowie für eine nachhaltige Wassernutzung von Vitis vinifera [cv. Riesling]. “
Christian Ihrig & Sascha Henninger
RPTU Kaiserslautern
Der vom Menschen verursachte Klimawandel beeinflusst sowohl langfristige Klimaprozesse, als auch das aktuelle, kurzfristige Wettergeschehen in allen Regionen der Erde. Er äußert sich in einer Vielzahl an Phänomenen, die sich je nach Klimagebiet unterschiedlich manifestieren lassen oder auch unterschiedliche Auswirkungen mit sich bringen. Diese Forschungsarbeit beschäftigt sich mit dem Wasserhaushalt von Weinreben im Rahmen des rezenten Klimawandels. Ziel dieses Projektes ist es, mittels meteorologisch-hydrologischen Messgrößen eine Anpassungsstrategie zu generieren, die auf alle Weinbauregionen in Rheinland-Pfalz übertragen werden kann, um Winzer*innen die Möglichkeit zu eröffnen, auf natürlicher Art und Weise der Rebe Wasser zugänglich zu machen.
Durch die Zunahme abiotischer Schäden (z.B. Niederschlag) und die Veränderung der Vegetationszeit sowie die Zunahme invasiver Schaderreger ist vermehrt eine Steigerung der Vulnerabilität des Ökosystems „Wingert“ zu erkennen. Winzer*innen werden aufgrund der Zunahme von Extremwetterereignissen (Hitze-/Dürrephasen) zur langfristigen Bewässerung ihrer Weinbauflächen gezwungen. Große Mengen Wasser werden bereits vereinzelt in Weinbergsregionen gepumpt, was langfristig hinsichtlich eines sinkenden Grundwasserspiegels einen fatalen Fehler darstellt. Die ressourcenschonende Gestaltung des Wasserhaushaltes sollte daher in den Mittelpunkt der Weinbauforschung gestellt werden. Weinbauer*innen sind an regional-/ lokalklimatischen Lösungsmöglichkeiten und Anpassungsstrategien interessiert, um Risiken für die Anbaufrucht reduzieren und auf die lokalklimatischen Auswirkungen des Klimawandels reagieren zu können. Um gegen dieses Risiko anzugehen und den Produktionsausfall zu minimieren, muss die Anpassungsfähigkeit in Sachen Wasserhaushalt der Reben bekräftigt werden. Demzufolge wird das Mikroklima in der Weinbauregion Rheinhessen mittels des Einsatzes der Scholander-Druckkammer untersucht. Die Bestimmung des Wasserstatus hinsichtlich der exakten Bewässerungssteuerung von Weinreben hat sich durch das frühmorgendliche Blattwasser- (Ψpd) und mittägliche Stammwasserpotential (Ψstem) bewährt. Physiologische Prozesse, wie die stomatäre Leitfähigkeit der Blattschließzellen sowie das vegetative Wachstum, aber auch die Photosynthese, sind direkt oder indirekt an Ψpd + Ψstem gekoppelt. Darüber hinaus lässt sich der Wasserhaushalt durch ein an Trockenstandorten angepasstes Bodenpflegesystem, wie zum Beispiel einer flächendeckenden Bodenabdeckung mittels Holzhäcksel, deutlich verbessern. Des Weiteren wird das Mikroklima im Weinberg durch die Laubwandstruktur mitbestimmt, was durch eine gesteigerte Photosyntheseleistung der Laubwand, eine optimale Belüftung und Belichtung gewährleistet wird. Im praktischen Weinbau wird dies durch die Höhe der Laubwand realisiert. Um dem Herbizid im Unterstockraum durch das anstehende Glyphosatverbot eine Alternative zu bieten, entwickelt die Landmaschinenbranche bereits heute alternative Arbeitsgeräte, die eine Möglichkeit darstellen, dem Wuchs des Unkrautes im Unterstockbereich entgegenzuwirken.
Daher ist es von gesteigertem Interesse zu analysieren, inwiefern sich eine Bodenabdeckung im Unterstockbereich von einer flächendeckenden bzw. moderaten Tropfbewässerung in Flachlage unterscheidet. Darüber hinaus sollen Möglichkeiten zur Reduzierung des Wasserverbrauchs und zur Reifeverzögerung (Verminderung des Botrytisbefalls, Verlängerung der Reifedauer, Vermeidung eines zu hohen Alkoholgehaltes) durch eine kürzere Laubwandhöhe beim Riesling in Flachlage in diesem Projekt erprobt werden. Als Versuchsvarianten dienen vier Variationen, um abgrenzbare und eindeutige Ergebnisse erzielen zu können (V1: Tropfbewässerung; V2: Unterstockabdeckung Holzhäcksel; V3: Flächendeckende Holzhäcksel; V4: Kontrollvariante).
A building-block model reveals new insights into the biogenesis of yeast mitochondrial ribosomes
(2020)
Most of the mitochondrial proteins in yeast are encoded in the nuclear genome, get synthesized by cytosolic ribosomes and are imported via TOM and TIM23 into the matrix or other subcompartments of mitochondria. The mitochondrial DNA in yeast however also encodes a small set of 8 proteins from which most are hydrophobic membrane proteins and build core components of the OXPHOS complexes. They get synthesized by mitochondrial ribosomes which are descendants of bacterial ribosomes and still have some similarities to them. On the other hand, mitochondrial ribosomes experienced various structural and functional changes during evolution that specialized them for the synthesis of the mitochondrial encoded membrane proteins. The mitoribosome contains mitochondria-specific ribosomal proteins and replaced the bacterial 5S rRNA by mitochondria-specific proteins and rRNA extensions. Furthermore, the mitoribosome is tethered to the inner mitochondrial membrane to facilitate a co-translational insertion of newly synthesized proteins. Thus, also the assembly process of mitoribosomes differs from that of bacteria and is to date not well understood.
Therefore, the biogenesis of mitochondrial ribosomes in yeast should be investigated. To this end, a strain was generated in which the gene of the mitochondrial RNA-polymerase RPO41 is under control of an inducible GAL10-promoter. Since the scaffold of ribosomes is built by ribosomal RNAs, the depletion of the RNA-polymerase subsequently leads to a loss of mitochondrial ribosomes. Reinduction of Rpo41 initiates the assembly of new mitoribosomes, which makes this strain an attractive model to study mitoribosome biogenesis.
Initially, the effects of Rpo41 depletion on cellular and mitochondrial physiology was investigated. Upon Rpo41 depletion, growth on respiratory glycerol medium was inhibited. Furthermore, mitochondrial ribosomal 21S and 15S rRNA was diminished and mitochondrial translation was almost completely absent. Also, mitochondrial DNA was strongly reduced due to the fact that mtDNA replication requires RNA primers that get synthesized by Rpo41.
Next, the effect of reinduction of Rpo41 on mitochondria was tested. Time course experiments showed that mitochondrial translation can partially recover from 48h Rpo41 depletion within a timeframe of 4.5h. Sucrose gradient sedimentation experiments further showed that the mitoribosomal constitution was comparable to wildtype control samples during the time course of 4.5h of reinduction, suggesting that the ribosome assembly is not fundamentally altered in Gal-Rpo41 mitochondria. In addition, the depletion time was found to be critical for recovery of mitochondrial translation and mitochondrial RNA levels. It was observed that after 36h of Rpo41 depletion, the rRNA levels and mitochondrial translation recovered to almost 100%, but only within a time course of 10h.
Finally, mitochondria from Gal-Rpo41 cells isolated after different timepoints of reinduction were used to perform complexome profiling and the assembly of mitochondrial protein complexes was investigated. First, the steady state conditions and the assembly process of mitochondrial respiratory chain complexes were monitored. The individual respiratory chain complexes and the super-complexes of complex III, complex IV and complex V were observed. Furthermore, it was seen that they recovered from Rpo41 depletion within 4.5h of reinduction. Complexome profiles of the mitoribosomal small and large subunit discovered subcomplexes of mitoribosomal proteins that were assumed to form prior to their incorporation into assembly intermediates. The complexome profiles after reinduction indeed showed the formation of these subcomplexes before formation of the fully assembled subunit. In the mitochondrial LSU one subcomplex builds the membrane facing protuberance and a second subcomplex forms the central protuberance. In contrast to the preassembled subcomplexes, proteins that were involved in early assembly steps were exclusively found in the fully assembled subunit. Proteins that assemble at the periphery of the mitoribosome during intermediate and late assembly steps where found in soluble form suggesting a pool of unassembled proteins that supply assembly intermediates with proteins.
Taken together, the findings of this thesis suggest a so far unknow building-block model for mitoribosome assembly in which characteristic structures of the yeast mitochondrial ribosome form preassembled subcomplexes prior to their incorporation into the mitoribosome.
A Consistent Large Eddy Approach for Lattice Boltzmann Methods and its Application to Complex Flows
(2015)
Lattice Boltzmann Methods have shown to be promising tools for solving fluid flow problems. This is related to the advantages of these methods, which are among others, the simplicity in handling complex geometries and the high efficiency in calculating transient flows. Lattice Boltzmann Methods are mesoscopic methods, based on discrete particle dynamics. This is in contrast to conventional Computational Fluid Dynamics methods, which are based on the solution of the continuum equations. Calculations of turbulent flows in engineering depend in general on modeling, since resolving of all turbulent scales is and will be in near future far beyond the computational possibilities. One of the most auspicious modeling approaches is the large eddy simulation, in which the large, inhomogeneous turbulence structures are directly computed and the smaller, more homogeneous structures are modeled.
In this thesis, a consistent large eddy approach for the Lattice Boltzmann Method is introduced. This large eddy model includes, besides a subgrid scale model, appropriate boundary conditions for wall resolved and wall modeled calculations. It also provides conditions for turbulent domain inlets. For the case of wall modeled simulations, a two layer wall model is derived in the Lattice Boltzmann context. Turbulent inlet conditions are achieved by means of a synthetic turbulence technique within the Lattice Boltzmann Method.
The proposed approach is implemented in the Lattice Boltzmann based CFD package SAM-Lattice, which has been created in the course of this work. SAM-Lattice is feasible of the calculation of incompressible or weakly compressible, isothermal flows of engineering interest in complex three dimensional domains. Special design targets of SAM-Lattice are high automatization and high performance.
Validation of the suggested large eddy Lattice Boltzmann scheme is performed for pump intake flows, which have not yet been treated by LBM. Even though, this numerical method is very suitable for this kind of vortical flows in complicated domains. In general, applications of LBM to hydrodynamic engineering problems are rare. The results of the pump intake validation cases reveal that the proposed numerical approach is able to represent qualitatively and quantitatively the very complex flows in the intakes. The findings provided in this thesis can serve as the basis for a broader application of LBM in hydrodynamic engineering problems.
Beamforming performs spatial filtering to preserve the signal from given directions of interest while suppressing interfering signals and noise arriving from other directions.
For example, a microphone array equipped with beamforming algorithm could preserve the sound coming from a target speaker and suppress sounds coming from other speakers.
Beamformer has been widely used in many applications such as radar, sonar, communication, and acoustic systems.
A data-independent beamformer is the beamformer whose coefficients are independent on sensor signals, it normally uses less computation since the coefficients are computed once. Moreover, its coefficients are derived from the well-defined statistical models, then it produces less artifacts. The major drawback of this beamforming class is its limitation to the interference suppression.
On the other hand, an adaptive beamformer is a beamformer whose coefficients depend on or adapt to sensor signals. It is capable of suppressing the interference better than a data-independent beamforming but it suffers from either too much distortion of the signal of interest or less noise reduction when the updating rate of coefficients does not synchronize with the changing rate of the noise model. Besides, it is computationally intensive since the coefficients need to be updated frequently.
In acoustic applications, the bandwidth of signals of interest extends over several octaves, but we always expect that the characteristic of the beamformer is invariant with regard to the bandwidth of interest. This can be achieved by the so-called broadband beamforming.
Since the beam pattern of conventional beamformers depends on the frequency of the signal, it is common to use a dense and uniform array for the broadband beamforming to guarantee some essential performances together, such as frequency-independence, less sensitive to white noise, high directivity factor or high front-to-back ratio. In this dissertation, we mainly focus on the sparse array of which the aim is to use fewer sensors in the array,
while simultaneously assuring several important performances of the beamformer.
In the past few decades, many design methodologies for sparse arrays have been proposed and were applied in a variety of practical applications.
Although good results were presented, there are still some restrictions, such as the number of sensors is large, the designed beam pattern must be fixed, the steering ability is limited and the computational complexity is high.
In this work, two novel approaches for the sparse array design taking a hypothesized uniform array as a basis are proposed, that is, one for data-independent beamformers and the another for adaptive beamformers.
As an underlying component of the proposed methods, the dissertation introduces some new insights into the uniform array with broadband beamforming. In this context, a function formulating the relations between the sensor coefficients and its beam pattern over frequency is proposed. The function mainly contains the coordinate transform and inverse Fourier transform.
Furthermore, from the bijection of the function and broadband beamforming perspective, we propose the lower and upper bounds for the inter-distance of sensors. Within these bounds, the function is a bijective function that can be utilized to design the uniform array with broadband beamforming.
For data-independent beamforming, many studies have focused on optimization procedures to seek the sparse array deployment. This dissertation presents an alternative approach to determine the location of sensors.
Starting with a weight spectrum of a virtual dense and uniform array, some techniques are used, such as analyzing a weight spectrum to determine the critical sensors, applying the clustering technique to group the sensors into different groups and selecting representative sensors for each group.
After the sparse array deployment is specified, the optimization technique is applied to find the beamformer coefficients. The proposed method helps to save the computation time in the design phase and its beamformer performance outperforms other state-of-the-art methods in several aspects such as the higher white noise gain, higher directivity factor or more frequency-independence.
For adaptive beamforming, the dissertation attempts to design a versatile sparse microphone array that can be used for different beam patterns.
Furthermore, we aim to reduce the number of microphones in the sparse array while ensuring that its performance can continue to compete with a highly dense and uniform array in terms of broadband beamforming.
An irregular microphone array in a planar surface with the maximum number of distinct distances between the microphones is proposed.
It is demonstrated that the irregular microphone array is well-suited to sparse recovery algorithms that are used to solve underdetermined systems with subject to sparse solutions. Here, a sparse solution is the sound source's spatial spectrum that need to be reconstructed from microphone signals.
From the reconstructed sound sources, a method for array interpolation is presented to obtain an interpolated dense and uniform microphone array that performs well with broadband beamforming.
In addition, two alternative approaches for generalized sidelobe canceler (GSC) beamformer are proposed. One is the data-independent beamforming variant, the other is the adaptive beamforming variant. The GSC decomposes beamforming into two paths: The upper path is to preserve the desired signal, the lower path is to suppress the desired signal. From a beam pattern viewpoint, we propose an improvement for GSC, that is, instead of using the blocking matrix in the lower path to suppress the desired signal, we design a beamformer that contains the nulls at the look direction and at some other directions. Both approaches are simple beamforming design methods and they can be applied to either sparse array or uniform array.
Lastly, a new technique for direction-of-arrival (DOA) estimation based on the annihilating filter is also presented in this dissertation.
It is based on the idea of finite rate of innovation to reconstruct the stream of Diracs, that is, identifying an annihilating filter/locator filter for a few uniform samples and the position of the Diracs are then related to the roots of the filter. Here, an annihilating filter is the filter that suppresses the signal, since its coefficient vector is always orthogonal to every frame of signal.
In the DOA context, we regard an active source as a Dirac associated with the arrival direction, then the directions of active sources can be derived from the roots of the annihilating filter. However,
the DOA obtained by this method is sensitive to noise and the number of DOAs is limited.
To address these issues, the dissertation proposes a robust method to design the annihilating filter and to increase the degree-of-freedom of the measurement system (more active sources can be detected) via observing multiple data frames.
Furthermore, we also analyze the performance of DOA with diffuse noise and propose an extended multiple signal classification algorithm that takes diffuse noise into account. In the simulation,
it shows, that in the case of diffuse noise, only the extended multiple signal classification algorithm can estimate the DOAs properly.
The growing computational power enables the establishment of the Population Balance Equation (PBE)
to model the steady state and dynamic behavior of multiphase flow unit operations. Accordingly, the twophase
flow
behavior inside liquid-liquid extraction equipment is characterized by different factors. These
factors include: interactions among droplets (breakage and coalescence), different time scales due to the
size distribution of the dispersed phase, and micro time scales of the interphase diffusional mass transfer
process. As a result of this, the general PBE has no well known analytical solution and therefore robust
numerical solution methods with low computational cost are highly admired.
In this work, the Sectional Quadrature Method of Moments (SQMOM) (Attarakih, M. M., Drumm, C.,
Bart, H.-J. (2009). Solution of the population balance equation using the Sectional Quadrature Method of
Moments (SQMOM). Chem. Eng. Sci. 64, 742-752) is extended to take into account the continuous flow
systems in spatial domain. In this regard, the SQMOM is extended to solve the spatially distributed
nonhomogeneous bivariate PBE to model the hydrodynamics and physical/reactive mass transfer
behavior of liquid-liquid extraction equipment. Based on the extended SQMOM, two different steady
state and dynamic simulation algorithms for hydrodynamics and mass transfer behavior of liquid-liquid
extraction equipment are developed and efficiently implemented. At the steady state modeling level, a
Spatially-Mixed SQMOM (SM-SQMOM) algorithm is developed and successfully implemented in a onedimensional
physical spatial domain. The integral spatial numerical flux is closed using the mean mass
droplet diameter based on the One Primary and One Secondary Particle Method (OPOSPM which is the
simplest case of the SQMOM). On the other hand the hydrodynamics integral source terms are closed
using the analytical Two-Equal Weight Quadrature (TEqWQ). To avoid the numerical solution of the
droplet rise velocity, an analytical solution based on the algebraic velocity model is derived for the
particular case of unit velocity exponent appearing in the droplet swarm model. In addition to this, the
source term due to mass transport is closed using OPOSPM. The resulting system of ordinary differential
equations with respect to space is solved using the MATLAB adaptive Runge–Kutta method (ODE45). At
the dynamic modeling level, the SQMOM is extended to a one-dimensional physical spatial domain and
resolved using the finite volume method. To close the mathematical model, the required quadrature nodes
and weights are calculated using the analytical solution based on the Two Unequal Weights Quadrature
(TUEWQ) formula. By applying the finite volume method to the spatial domain, a semi-discreet ordinary
differential equation system is obtained and solved. Both steady state and dynamic algorithms are
extensively validated at analytical, numerical, and experimental levels. At the numerical level, the
predictions of both algorithms are validated using the extended fixed pivot technique as implemented in
PPBLab software (Attarakih, M., Alzyod, S., Abu-Khader, M., Bart, H.-J. (2012). PPBLAB: A new
multivariate population balance environment for particulate system modeling and simulation. Procedia
Eng. 42, pp. 144-562). At the experimental validation level, the extended SQMOM is successfully used
to model the steady state hydrodynamics and physical and reactive mass transfer behavior of agitated
liquid-liquid extraction columns under different operating conditions. In this regard, both models are
found efficient and able to follow liquid extraction column behavior during column scale-up, where three
column diameters were investigated (DN32, DN80, and DN150). To shed more light on the local
interactions among the contacted phases, a reduced coupled PBE and CFD framework is used to model
the hydrodynamic behavior of pulsed sieve plate columns. In this regard, OPOSPM is utilized and
implemented in FLUENT 18.2 commercial software as a special case of the SQMOM. The dropletdroplet
interactions
(breakage
and
coalescence)
are
taken
into
account
using
OPOSPM,
while
the
required
information
about
the
velocity
field
and
energy
dissipation
is
calculated
by
the
CFD
model.
In
addition
to
this,
the proposed coupled OPOSPM-CFD framework is extended to include the mass transfer. The
proposed framework is numerically tested and the results are compared with the published experimental
data. The required breakage and coalescence parameters to perform the 2D-CFD simulation are estimated
using PPBLab software, where a 1D-CFD simulation using a multi-sectional gird is performed. A very
good agreement is obtained at the experimental and the numerical validation levels.
The present thesis describes the development and the evaluation of a design procedure of inducer with arbitrary meridional and blade shape. This special type of pump impeller, which is usually mounted upstream of a main pump impeller, is employed in many applications demanding the realization of low NPSH values. An inducer basically increases suction performance by producing mostly a small pressure rise while allowing for a greater degree of cavitation, that is the formation of vapor bubbles, at its inlet than a conventional pump impeller. This is achieved by specially designed blade channels promoting the collapse of the produced vapor bubbles.
The main focus of the present thesis is the description of the design method, which enables the generation of the three-dimensional blade geometry. The method is based on a parametric representation of the geometry considering the particular requirements for inducers and the publicly available design practice. Within this approach the sequence of design steps is adapted from the classical design process of mixed flow and radial impellers. As a consequence leading and trailing edge blade angles are determined based on simplifications and certain empirical assumptions for multiple blade sections and are used to design the blade camber curves. Along the camber curves the blade profile is generated following a thickness distribution that has to be prescribed. A special feature of the newly developed method is that arbitrary shaped, asymmetric thickness distributions can be realized.
Due to the detailed description of the design and calculation steps a fully comprehensible procedure is outlined, which covers the development of inducer bladings from an initial set of duty parameters to the final three-dimensional blade geometry.
The components involved in the design procedure are tested by designing two exemplary inducers and they are assessed by comparison with numerical simulations. Functioning of these inducers in the real application is finally demonstrated with water tests.
The main result of this dissertation is a design software for inducers allowing for the design of three-dimensional, asymmetrically profiled bladings. The developed software is free of commercial third-party libraries. As a consequence a program is available that can be modified and extended as desired. As potential future development goals inducers with splitter and tandem blades as well as an integrated design of inducer and impeller are proposed.
Medical cyber-physical systems (MCPS) emerged as an evolution of the relations between connected health systems, healthcare providers, and modern medical devices. Such systems combine independent medical devices at runtime in order to render new patient monitoring/control functionalities, such as physiological closed loops for controlling drug infusion or optimization of alarms. Despite the advances regarding alarm precision, healthcare providers still struggle with alarm flooding caused by the limited risk assessment models. Furthermore, these limitations also impose severe barriers on the adoption of automated supervision through autonomous actions, such as safety interlocks for avoiding overdosage. The literature has focused on the verification of safety parameters to assure the safety of treatment at runtime and thus optimize alarms and automated actions. Such solutions have relied on the definition of actuation ranges based on thresholds for a few monitored parameters. Given the very dynamic nature of the relevant context conditions (e.g., the patient’s condition, treatment details, system configurations, etc.), fixed thresholds are a weak means for assessing the current risk. This thesis presents an approach for enabling dynamic risk assessment for cooperative MCPS based on an adaptive Bayesian Networks (BN) model. The main aim of the approach is to support continuous runtime risk assessment of the current situation based on relevant context and system information. The presented approach comprises (i) a dynamic risk analysis constituent, which corresponds to the elicitation of relevant risk parameters, risk metric building, and risk metric management; and (ii) a runtime risk classification constituent, which aims to analyze the current situation risk, establish risk classes, and identify and deploy mitigation measures. The proposed approach was evaluated and its feasibility proved by means of simulated experiments guided by an international team of medical experts with a focus on the requirements of efficacy, efficiency, and availability of patient treatment.
This work deals with the simulation of the micro-cutting process of titanium. For this
purpose, a suitable crystal-plastic material model is developed and efficient implemen-
tations are investigated to simulate the micro-cutting process. Several challenges arise
for the material model. On the one hand, the low symmetry hexagonal close-packed
crystal structure of titanium has to be considered. On the other hand, large defor-
mations and strains occur during the machining process. Another important part is
the algorithm for the determination of the active slip systems, which has a significant
influence on the stability of the simulation. In order to obtain a robust implemen-
tation, different aspects, such as the algorithm for the determination of the active
slip systems, the method for mesh separation between chip and workpiece as well as
the hardening process are investigated, and different approaches are compared. The
developed crystal-plastic material model and the selected implementations are first
validated and investigated using illustrative examples. The presented simulations of
the micro-cutting process show the influence of different machining parameters on the
process. Finally, the influence of a real microstructure on the plastic deformation and
the cutting force during the process is shown.
A prime motivation for using XML to directly represent pieces of information is the ability of supporting ad-hoc or 'schema-later' settings. In such scenarios, modeling data under loose data constraints is essential. Of course, the flexibility of XML comes at a price: the absence of a rigid, regular, and homogeneous structure makes many aspects of data management more challenging. Such malleable data formats can also lead to severe information quality problems, because the risk of storing inconsistent and incorrect data is greatly increased. A prominent example of such problems is the appearance of the so-called fuzzy duplicates, i.e., multiple and non-identical representations of a real-world entity. Similarity joins correlating XML document fragments that are similar can be used as core operators to support the identification of fuzzy duplicates. However, similarity assessment is especially difficult on XML datasets because structure, besides textual information, may exhibit variations in document fragments representing the same real-world entity. Moreover, similarity computation is substantially more expensive for tree-structured objects and, thus, is a serious performance concern. This thesis describes the design and implementation of an effective, flexible, and high-performance XML-based similarity join framework. As main contributions, we present novel structure-conscious similarity functions for XML trees - either considering XML structure in isolation or combined with textual information -, mechanisms to support the selection of relevant information from XML trees and organization of this information into a suitable format for similarity calculation, and efficient algorithms for large-scale identification of similar, set-represented objects. Finally, we validate the applicability of our techniques by integrating our framework into a native XML database management system; in this context we address several issues around the integration of similarity operations into traditional database architectures.
This thesis presents a novel, generic framework for information segmentation in document images.
A document image contains different types of information, for instance, text (machine printed/handwritten), graphics, signatures, and stamps.
It is necessary to segment information in documents so that to process such segmented information only when required in automatic document processing workflows.
The main contribution of this thesis is the conceptualization and implementation of an information segmentation framework that is based on part-based features.
The generic nature of the presented framework makes it applicable to a variety of documents (technical drawings, magazines, administrative, scientific, and academic documents) digitized using different methods (scanners, RGB cameras, and hyper-spectral imaging (HSI) devices).
A highlight of the presented framework is that it does not require large training sets, rather a few training samples (for instance, four pages) lead to high performance, i.e., better than previously existing methods.
In addition, the presented framework is simple and can be adapted quickly to new problem domains.
This thesis is divided into three major parts on the basis of document digitization method (scanned, hyper-spectral imaging, and camera captured) used.
In the area of scanned document images, three specific contributions have been realized.
The first of them is in the domain of signature segmentation in administrative documents.
In some workflows, it is very important to check the document authenticity before processing the actual content.
This can be done based on the available seal of authenticity, e.g., signatures.
However, signature verification systems expect pre-segmented signature image, while signatures are usually a part of document.
To use signature verification systems on document images, it is necessary to first segment signatures in documents.
This thesis shows that the presented framework can be used to segment signatures in administrative documents.
The system based on the presented framework is tested on a publicly available dataset where it outperforms the state-of-the-art methods and successfully segmented all signatures, while less than half of the found signatures are false positives.
This shows that it can be applied for practical use.
The second contribution in the area of scanned document images is segmentation of stamps in administrative documents.
A stamp also serves as a seal for documents authenticity.
However, the location of stamp on the document can be more arbitrary than a signature depending on the person sealing the document.
This thesis shows that a system based on our generic framework is able to extract stamps of any arbitrary shape and color.
The evaluation of the presented system on a publicly available dataset shows that it is also able to segment black stamps (that were not addressed in the past) with a recall and precision of 83% and 73%, respectively.
%Furthermore, to segment colored stamps, this thesis presents a novel feature set which is based on intensity gradient, is able to extract unseen, colored, arbitrary shaped, textual as well as graphical stamps, and outperforms the state-of-the-art methods.
The third contribution in the scanned document images is in the domain of information segmentation in technical drawings (architectural floorplans, maps, circuit diagrams, etc.) containing usually a large amount of graphics and comparatively less textual components. Further, as in technical drawings, text is overlapping with graphics.
Thus, automatic analysis of technical drawings uses text/graphics segmentation as a pre-processing step.
This thesis presents a method based on our generic information segmentation framework that is able to detect the text, which is touching graphical components in architectural floorplans and maps.
Evaluation of the method on a publicly available dataset of architectural floorplans shows that it is able to extract almost all touching text components with precision and recall of 71% and 95%, respectively.
This means that almost all of the touching text components are successfully extracted.
In the area of hyper-spectral document images, two contributions have been realized.
Unlike normal three channels RGB images, hyper-spectral images usually have multiple channels that range from ultraviolet to infrared regions including the visible region.
First, this thesis presents a novel automatic method for signature segmentation from hyper-spectral document images (240 spectral bands between 400 - 900 nm).
The presented method is based on a part-based key point detection technique, which does not use any structural information, but relies only on the spectral response of the document regardless of ink color and intensity.
The presented method is capable of segmenting (overlapping and non-overlapping) signatures from varying backgrounds like, printed text, tables, stamps, logos, etc.
Importantly, the presented method can extract signature pixels and not just the bounding boxes.
This is substantial when signatures are overlapping with text and/or other objects in image. Second, this thesis presents a new dataset comprising of 300 documents scanned using a high-resolution hyper-spectral scanner. Evaluation of the presented signature segmentation method on this hyper-spectral dataset shows that it is able to extract signature pixels with the precision and recall of 100% and 79%, respectively.
Further contributions have been made in the area of camera captured document images. A major problem in the development of Optical Character Recognition (OCR) systems for camera captured document images is the lack of labeled camera captured document images datasets. In the first place, this thesis presents a novel, generic, method for automatic ground truth generation/labeling of document images. The presented method builds large-scale (i.e., millions of images) datasets of labeled camera captured / scanned documents without any human intervention. The method is generic and can be used for automatic ground truth generation of (scanned and/or camera captured) documents in any language, e.g., English, Russian, Arabic, Urdu. The evaluation of the presented method, on two different datasets in English and Russian, shows that 99.98% of the images are correctly labeled in every case.
Another important contribution in the area of camera captured document images is the compilation of a large dataset comprising 1 million word images (10 million character images), captured in a real camera-based acquisition environment, along with the word and character level ground truth. The dataset can be used for training as well as testing of character recognition systems for camera-captured documents. Various benchmark tests are performed to analyze the behavior of different open source OCR systems on camera captured document images. Evaluation results show that the existing OCRs, which already get very high accuracies on scanned documents, fail on camera captured document images.
Using the presented camera-captured dataset, a novel character recognition system is developed which is based on a variant of recurrent neural networks, i.e., Long Short Term Memory (LSTM) that outperforms all of the existing OCR engines on camera captured document images with an accuracy of more than 95%.
Finally, this thesis provides details on various tasks that have been performed in the area closely related to information segmentation. This includes automatic analysis and sketch based retrieval of architectural floor plan images, a novel scheme for online signature verification, and a part-based approach for signature verification. With these contributions, it has been shown that part-based methods can be successfully applied to document image analysis.
For many years real-time task models have focused the timing constraints on execution windows defined by earliest start times and deadlines for feasibility.
However, the utility of some application may vary among scenarios which yield correct behavior, and maximizing this utility improves the resource utilization.
For example, target sensitive applications have a target point where execution results in maximized utility, and an execution window for feasibility.
Execution around this point and within the execution window is allowed, albeit at lower utility.
The intensity of the utility decay accounts for the importance of the application.
Examples of such applications include multimedia and control; multimedia application are very popular nowadays and control applications are present in every automated system.
In this thesis, we present a novel real-time task model which provides for easy abstractions to express the timing constraints of target sensitive RT applications: the gravitational task model.
This model uses a simple gravity pendulum (or bob pendulum) system as a visualization model for trade-offs among target sensitive RT applications.
We consider jobs as objects in a pendulum system, and the target points as the central point.
Then, the equilibrium state of the physical problem is equivalent to the best compromise among jobs with conflicting targets.
Analogies with well-known systems are helpful to fill in the gap between application requirements and theoretical abstractions used in task models.
For instance, the so-called nature algorithms use key elements of physical processes to form the basis of an optimization algorithm.
Examples include the knapsack problem, traveling salesman problem, ant colony optimization, and simulated annealing.
We also present a few scheduling algorithms designed for the gravitational task model which fulfill the requirements for on-line adaptivity.
The scheduling of target sensitive RT applications must account for timing constraints, and the trade-off among tasks with conflicting targets.
Our proposed scheduling algorithms use the equilibrium state concept to order the execution sequence of jobs, and compute the deviation of jobs from their target points for increased system utility.
The execution sequence of jobs in the schedule has a significant impact on the equilibrium of jobs, and dominates the complexity of the problem --- the optimum solution is NP-hard.
We show the efficacy of our approach through simulations results and 3 target sensitive RT applications enhanced with the gravitational task model.
This thesis is concerned with the modeling of the solid-solid phase transformation, such as the martensitic transformation. The allotropes austenite and martensite are important for industry applications. As a result of its ductility, austenite is desired in the bulk, as opposed to martensite, which desired in the near surface region. The phase field method is used to model the phase transformation by minimizing the free energy. It consists of a mechanical part, due to elastic strain and a chemical part, due to the martensitic transformation. The latter is temperature dependent. Therefore, a temperature dependent separation potential is presented here. To accommodate multiple orientation variants, a multivariant phase field model is employed. Using the Khachaturyan approach, the effective material parameters can be used to describe a constitutive model. This however, renders the nodal residual vector and elemental tangent matrix directly dependent on the phase, making a generalization complicated. An easier approach is the use of the Voigt/Taylor homogenization, in which the energy and their derivatives are interpolated creating an interface for material law of the individual phases.
Numerical Godeaux surfaces are minimal surfaces of general type with the smallest possible numerical invariants. It is known that the torsion group of a numerical Godeaux surface is cyclic of order \(m\leq 5\). A full classification has been given for the cases \(m=3,4,5\) by the work of Reid and Miyaoka. In each case, the corresponding moduli space is 8-dimensional and irreducible.
There exist explicit examples of numerical Godeaux surfaces for the orders \(m=1,2\), but a complete classification for these surfaces is still missing.
In this thesis we present a construction method for numerical Godeaux surfaces which is based on homological algebra and computer algebra and which arises from an experimental approach by Schreyer. The main idea is to consider the canonical ring \(R(X)\) of a numerical Godeaux surface \(X\) as a module over some graded polynomial ring \(S\). The ring \(S\) is chosen so that \(R(X)\) is finitely generated as an \(S\)-module and a Gorenstein \(S\)-algebra of codimension 3. We prove that the canonical ring of any numerical Godeaux surface, considered as an \(S\)-module, admits a minimal free resolution whose middle map is alternating. Moreover, we show that a partial converse of this statement is true under some additional conditions.
Afterwards we use these results to construct (canonical rings of) numerical Godeaux surfaces. Hereby, we restrict our study to surfaces whose bicanonical system has no fixed component but 4 distinct base points, in the following referred to as marked numerical Godeaux surfaces.
The particular interest of this thesis lies on marked numerical Godeaux surfaces whose torsion group is trivial. For these surfaces we study the fibration of genus 4 over \(\mathbb{P}^1\) induced by the bicanonical system. Catanese and Pignatelli showed that the general fibre is non-hyperelliptic and that the number \(\tilde{h}\) of hyperelliptic fibres is bounded by 3. The two explicit constructions of numerical Godeaux surfaces with a trivial torsion group due to Barlow and Craighero-Gattazzo, respectively, satisfy \(\tilde{h} = 2\).
With the method from this thesis, we construct an 8-dimensional family of numerical Godeaux surfaces with a trivial torsion group and whose general element satisfy \(\tilde{h}=0\).
Furthermore, we establish a criterion for the existence of hyperelliptic fibres in terms of a minimal free resolution of \(R(X)\). Using this criterion, we verify experimentally the
existence of a numerical Godeaux surface with \(\tilde{h}=1\).