Color stability and surface roughness of artificial teeth brushed with an experimental Ricinus communis toothpaste

Aim: To evaluate, in vitro, the effect of brushing with a Ricinus communis -based experimental toothpaste on color stability and surface roughness of artificial teeth. Methods: Ninety artificial teeth (maxillary central incisors) in different shades, light and dark (NatusDent Triple Pressing, Dentbras) were used. Initial color (Spectrophotometer Easyshade, VITA) and surface roughness (Rugosimeter Surfcorder SE 1700, Kosakalab) readouts were performed. After baseline measurements, samples were assigned to 10 groups (n=9) according to the artificial tooth shade and type of toothpaste used during the mechanical brushing test (Pepsodent, MAVTEC): Sorriso Dentes Brancos – SDB, Colgate Luminous White - CLW (Colgate-Palmolive), Close up White Now - CWN (Unilever), Trihydral - THL (Perland Pharmacos) and Ricinus communis - RCE (Experimental). After 29,200 cycles of brushing, corresponding to 2 years of brushing by a healthy individual, new color and roughness readouts of the specimens were performed. Data (before and after the tests) were statistically analyzed (2-way repeated measures ANOVA, Tukey, p<0.05). Results: RCE toothpaste produced the greatest color stability for dark tooth shade and the second best color stability for light tooth shade. For surface roughness alteration, there was no difference (p>0.05) for any tested toothpaste regardless of tooth shade. Conclusions: The experimental Ricinus communis toothpaste did not cause color and surface roughness alteration in the artificial teeth, and it may be considered a suitable option for denture cleaning.

Probabilistic Imaging and Dynamic Modeling of Earthquake Source Processes

Investigation of large, destructive earthquakes is challenged by their infrequent occurrence and the remote nature of geophysical observations. This thesis sheds light on the source processes of large earthquakes from two perspectives: robust and quantitative observational constraints through Bayesian inference for earthquake source models, and physical insights on the interconnections of seismic and aseismic fault behavior from elastodynamic modeling of earthquake ruptures and aseismic processes.

To constrain the shallow deformation during megathrust events, we develop semi-analytical and numerical Bayesian approaches to explore the maximum resolution of the tsunami data, with a focus on incorporating the uncertainty in the forward modeling. These methodologies are then applied to invert for the coseismic seafloor displacement field in the 2011 Mw 9.0 Tohoku-Oki earthquake using near-field tsunami waveforms and for the coseismic fault slip models in the 2010 Mw 8.8 Maule earthquake with complementary tsunami and geodetic observations. From posterior estimates of model parameters and their uncertainties, we are able to quantitatively constrain the near-trench profiles of seafloor displacement and fault slip. Similar characteristic patterns emerge during both events, featuring the peak of uplift near the edge of the accretionary wedge with a decay toward the trench axis, with implications for fault failure and tsunamigenic mechanisms of megathrust earthquakes.

To understand the behavior of earthquakes at the base of the seismogenic zone on continental strike-slip faults, we simulate the interactions of dynamic earthquake rupture, aseismic slip, and heterogeneity in rate-and-state fault models coupled with shear heating. Our study explains the long-standing enigma of seismic quiescence on major fault segments known to have hosted large earthquakes by deeper penetration of large earthquakes below the seismogenic zone, where mature faults have well-localized creeping extensions. This conclusion is supported by the simulated relationship between seismicity and large earthquakes as well as by observations from recent large events. We also use the modeling to connect the geodetic observables of fault locking with the behavior of seismicity in numerical models, investigating how a combination of interseismic geodetic and seismological estimates could constrain the locked-creeping transition of faults and potentially their co- and post-seismic behavior.

Challenges in imaging and predictive modeling of rhizosphere processes

Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.

Distinguishing the distributions of two cryptic frogs (Anura: Discoglossidae) using molecular data and environmental modeling

Currently, the identification of two cryptic Iberian amphibians, Discoglossus galganoi Capula, Nascetti, Lanza, Bullini and Crespo, 1985 and Discoglossus jeanneae Busack, 1986, relies on molecular characterization. To provide a means to discern the distributions of these species, we used 385-base-pair sequences of the cytochrome b gene to identify 54 Spanish populations of Discoglossus. These data and a series of environmental variables were used to build up a logistic regression model capable of probabilistically designating a specimen of Discoglossus found in any Universal Transverse Mercator (UTM) grid cell of 10 km × 10 km to one of the two species. Western longitudes, wide river basins, and semipermeable (mainly siliceous) and sandstone substrates favored the presence of D. galganoi, while eastern longitudes, mountainous areas, severe floodings, and impermeable (mainly clay) or basic (limestone and gypsum) substrates favored D. jeanneae. Fifteen percent of the UTM cells were predicted to be shared by both species, whereas 51% were clearly in favor of D. galganoi and 34% were in favor of D. jeanneae, considering odds of 4:1. These results suggest that these two species have parapatric distributions and allow for preliminary identification of potential secondary contact areas. The method applied here can be generalized and used for other geographic problems posed by cryptic species.

Synthesis and surface characterization of metal (Mn, Ti) hexacyanoferrate electrodes

Due to the limited resources of lithium, new chemistries based on the abundant and cheap sodium and even zinc have been proposed for the battery market. Prussian Blue Analogues (PBAs) are a class of compounds which have been explored for many different applications because of their intriguing electrochemical and magnetic properties. Manganese and titanium hexacyanoferrate (MnHCF and TiHCF) belong to the class of PBAs. In this work, MnHCF and TiHCF electrodes were synthetized, cycled with cyclic voltammetry (CV) in different setups and subsequently, the surfaces were characterized with X-ray Photoelectron Spectroscopy (XPS). The setups chosen for CVs were coin cell with zinc aqueous solution for the MnHCF series, three-electrode cell and symmetric coin cell with sodium aqueous solution for the TiHCF series. The electrodes were treated with different number of cycles to evaluate the chemical changes and alterations in oxidation states during cycling.

High-strength steels manufactured via Laser Powder Bed Fusion: effect of post-process heat treatments and surface finishing on microstructure and mechanical properties

Laser Powder Bed Fusion (LPBF) permits the manufacturing of parts with optimized geometry, enabling lightweight design of mechanical components in aerospace and automotive and the production of tools with conformal cooling channels. In order to produce parts with high strength-to-weight ratio, high-strength steels are required. To date, the most diffused high-strength steels for LPBF are hot-work tool steels, maraging and precipitation-hardening stainless steels, featuring different composition, feasibility and properties. Moreover, LPBF parts usually require a proper heat treatment and surface finishing, to develop the desired properties and reduce the high roughness resulting from LPBF. The present PhD thesis investigates the effect of different heat treatments and surface finishing on the microstructure and mechanical properties of a hot-work tool steel and a precipitation-hardening stainless steel manufactured via LPBF. The bibliographic section focuses on the main aspects of LPBF, hot-work tool steels and precipitation-hardening stainless steels. The experimental section is divided in two parts. Part A addresses the effect of different heat treatments and surface finishing on the microstructure, hardness, tensile and fatigue behaviour of a LPBF manufactured hot-work tool steel, to evaluate its feasibility for automotive and racing components. Results indicated the possibility to achieve high hardness and strength, comparable to the conventionally produced steel, but a great sensitivity of fatigue strength on defects and surface roughness resulting from LPBF. Part B investigates the effect of different heat treatments on the microstructure, hardness, tensile and notch-impact behaviour of a LPBF produced precipitation-hardening stainless steel, to assess its feasibility for tooling applications. Results indicated the possibility to achieve high hardness and strength also through a simple Direct Aging, enabling heat treatment simplification by exploiting the microstructural features resulting from LPBF.

Virtual Campus for the University of Jaume I, Castelló, Spain: 3D Modelling of the Campus Buildings using CityEngine

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Miniemulsionen als räumliche Begrenzungen : Synthese von Polymer-Hydroxylapatit-Nanopartikeln, bio-inspirierten Nanokapseln und Polymer-Einzelkettenpartikeln

In der vorliegenden Arbeit wurden Miniemulsionen als räumliche Begrenzungen für die Synthese von unterschiedlichen funktionellen Materialien mit neuartigen Eigenschaften verwendet. Das erste Themengebiet umfasst die Herstellung von Polymer/Calciumphosphat-Hybridpartikeln und –Hybridkapseln über die templatgesteuerte Mineralisation von Calciumphosphat. Die funktionalisierte Oberfläche von Polymernanopartikeln, welche über die Miniemulsionspolymerisation hergestellt wurden, diente als Templat für die Kristallisation von Calciumphosphat auf den Partikeln. Der Einfluss der funktionellen Carboxylat- und Phosphonat-Oberflächengruppen auf die Komplexierung von Calcium-Ionen sowie die Mineralisation von Calciumphosphat auf der Oberfläche der Nanopartikel wurde mit mehreren Methoden (ionenselektive Elektroden, REM, TEM und XRD) detailliert analysiert. Es wurde herausgefunden, dass die Mineralisation bei verschiedenen pH-Werten zu vollkommen unterschiedlichen Kristallmorphologien (nadel- und plättchenförmige Kristalle) auf der Oberfläche der Partikel führt. Untersuchungen der Mineralisationskinetik zeigten, dass die Morphologie der Hydroxylapatit-Kristalle auf der Partikeloberfläche mit der Änderung der Kristallisationsgeschwindigkeit durch eine sorgfältige Wahl des pH-Wertes gezielt kontrolliert werden kann. Sowohl die Eigenschaften der als Templat verwendeten Polymernanopartikel (z. B. Größe, Form und Funktionalisierung), als auch die Oberflächentopografie der entstandenen Polymer/Calciumphosphat-Hybridpartikel wurden gezielt verändert, um die Eigenschaften der erhaltenen Kompositmaterialien zu steuern. rnEine ähnliche bio-inspirierte Methode wurde zur in situ-Herstellung von organisch/anorganischen Nanokapseln entwickelt. Hierbei wurde die flexible Grenzfläche von flüssigen Miniemulsionströpfchen zur Mineralisation von Calciumphosphat an der Grenzfläche eingesetzt, um Gelatine/Calciumphosphat-Hybridkapseln mit flüssigem Kern herzustellen. Der flüssige Kern der Nanokapseln ermöglicht dabei die Verkapselung unterschiedlicher hydrophiler Substanzen, was in dieser Arbeit durch die erfolgreiche Verkapselung sehr kleiner Hydroxylapatit-Kristalle sowie eines Fluoreszenzfarbstoffes (Rhodamin 6G) demonstriert wurde. Aufgrund der intrinsischen Eigenschaften der Gelatine/Calciumphosphat-Kapseln konnten abhängig vom pH-Wert der Umgebung unterschiedliche Mengen des verkapselten Fluoreszenzfarbstoffes aus den Kapseln freigesetzt werden. Eine mögliche Anwendung der Polymer/Calciumphosphat-Partikel und –Kapseln ist die Implantatbeschichtung, wobei diese als Bindeglied zwischen künstlichem Implantat und natürlichem Knochengewebe dienen. rnIm zweiten Themengebiet dieser Arbeit wurde die Grenzfläche von Nanometer-großen Miniemulsionströpfchen eingesetzt, um einzelne in der dispersen Phase gelöste Polymerketten zu separieren. Nach der Verdampfung des in den Tröpfchen vorhandenen Lösungsmittels wurden stabile Dispersionen sehr kleiner Polymer-Nanopartikel (<10 nm Durchmesser) erhalten, die aus nur wenigen oder einer einzigen Polymerkette bestehen. Die kolloidale Stabilität der Partikel nach der Synthese, gewährleistet durch die Anwesenheit von SDS in der wässrigen Phase der Dispersionen, ist vorteilhaft für die anschließende Charakterisierung der Polymer-Nanopartikel. Die Partikelgröße der Nanopartikel wurde mittels DLS und TEM bestimmt und mit Hilfe der Dichte und des Molekulargewichts der verwendeten Polymere die Anzahl an Polymerketten pro Partikel bestimmt. Wie es für Partikel, die aus nur einer Polymerkette bestehen, erwartet wird, stieg die mittels DLS bestimmte Partikelgröße mit steigendem Molekulargewicht des in der Synthese der Partikel eingesetzten Polymers deutlich an. Die Quantifizierung der Kettenzahl pro Partikel mit Hilfe von Fluoreszenzanisotropie-Messungen ergab, dass Polymer-Einzelkettenpartikel hoher Einheitlichkeit hergestellt wurden. Durch die Verwendung eines Hochdruckhomogenisators zur Herstellung der Einzelkettendispersionen war es möglich, größere Mengen der Einzelkettenpartikel herzustellen, deren Materialeigenschaften zurzeit näher untersucht werden.rn

Emissions- und Anregungsspektroskopie einzelner Halbleiternanokristalle bei kryogenen Temperaturen

In den letzten beiden Jahrzehnten hat sich die Synthese und Charakterisierung nanoskopischer Objekte zu einem wichtigen Forschungszweig entwickelt. Insbesondere die Größenabhängigkeit optischer Eigenschaften in Halbleiternanokristallen eröffnet ein weites Feld an Anwendungsmöglichkeiten. Das Verständnis der größenabhängigen elektronischen Struktur derartiger Nanokristalle ist ein interessantes Feld der Grundlagenforschung, da sie den Übergang vom Atom zum makroskopischen Material repräsentieren. Die Einzigartigkeit eines jeden Nanokristalls aufgrund von Inhomogenitäten in Größe, Form und Oberflächenbeschaffenheit erfordert die Untersuchung der elektronischen Struktur mittels der Spektroskopie einzelner Nanokristalle.rnIn der vorliegenden Arbeit wurde die Photolumineszenz-Anregungsspektroskopie einzelner CdSe/ZnS-Nanokristalle bei kryogenen Temperaturen etabliert und für Partikel verschiedener Größen eingesetzt. Hierzu wurde zunächst ein konfokales Mikroskop aufgebaut, das die Spektroskopie einzelner Emitter in einem Temperaturbereich von 1.4 K bis Raumtemperatur ermöglicht. Die zur Anregungsspektroskopie angewendete Methode erlaubte die Untersuchung des vollen Spektralbereichs des 1S3/2-1Se-Exzitons, der sogenannten exzitonischen Feinstruktur. Obwohl es sich bei dem niederenergetischsten Übergang um einen verbotenen Übergang handelt, konnte dieser regelmäßig detektiert werden. Die Energieseparationen der beiden niederenergetischsten Übergänge wurden in guter Übereinstimmung mit den Ergebnissen des etablierten EMA-Modells gefunden. Für die weiteren Übergänge zeigten die Experimente, dass deren Energiedifferenz zum niederenergetischsten Übergang vom EMA-Modell unterschätzt wird. Abschließend wurde die Polarisationsabhängigkeit der Übergänge in verschiedene Zustände der exzitonischen Feinstruktur untersucht, wobei theoretische Vorhersagen der relativen Orientierung der Übergangsdipole der beiden niederenergetischsten Zustände bestätigt werden konnten.rn

Real Walking through Virtual Environments by Redirection Techniques

We present redirection techniques that support exploration of large-scale virtual environments (VEs) by means of real walking. We quantify to what degree users can unknowingly be redirected in order to guide them through VEs in which virtual paths differ from the physical paths. We further introduce the concept of dynamic passive haptics by which any number of virtual objects can be mapped to real physical proxy props having similar haptic properties (i. e., size, shape, and surface structure), such that the user can sense these virtual objects by touching their real world counterparts. Dynamic passive haptics provides the user with the illusion of interacting with a desired virtual object by redirecting her to the corresponding proxy prop. We describe the concepts of generic redirected walking and dynamic passive haptics and present experiments in which we have evaluated these concepts. Furthermore, we discuss implications that have been derived from a user study, and we present approaches that derive physical paths which may vary from the virtual counterparts.

Aerial Coverage Path Planning applied to Mapping

In the last decade we have seen how small and light weight aerial platforms - aka, Mini Unmanned Aerial Vehicles (MUAV) - shipped with heterogeneous sensors have become a 'most wanted' Remote Sensing (RS) tool. Most of the off-the-shelf aerial systems found in the market provide way-point navigation. However, they do not rely on a tool that compute the aerial trajectories considering all the aspects that allow optimizing the aerial missions. One of the most demanded RS applications of MUAV is image surveying. The images acquired are typically used to build a high-resolution image, i.e., a mosaic of the workspace surface. Although, it may be applied to any other application where a sensor-based map must be computed. This thesis provides a study of this application and a set of solutions and methods to address this kind of aerial mission by using a fleet of MUAVs. In particular, a set of algorithms are proposed for map-based sampling, and aerial coverage path planning (ACPP). Regarding to map-based sampling, the approaches proposed consider workspaces with different shapes and surface characteristics. The workspace is sampled considering the sensor characteristics and a set of mission requirements. The algorithm applies different computational geometry approaches, providing a unique way to deal with workspaces with different shape and surface characteristics in order to be surveyed by one or more MUAVs. This feature introduces a previous optimization step before path planning. After that, the ACPP problem is theorized and a set of ACPP algorithms to compute the MUAVs trajectories are proposed. The problem addressed herein is the problem to coverage a wide area by using MUAVs with limited autonomy. Therefore, the mission must be accomplished in the shortest amount of time. The aerial survey is usually subject to a set of workspace restrictions, such as the take-off and landing positions as well as a safety distance between elements of the fleet. Moreover, it has to avoid forbidden zones to y. Three different algorithms have been studied to address this problem. The approaches studied are based on graph searching, heuristic and meta-heuristic approaches, e.g., mimic, evolutionary. Finally, an extended survey of field experiments applying the previous methods, as well as the materials and methods adopted in outdoor missions is presented. The reported outcomes demonstrate that the findings attained from this thesis improve ACPP mission for mapping purpose in an efficient and safe manner.

Aerial Coverage Path Planning applied to Mapping

In the last decade we have seen how small and light weight aerial platforms - aka, Mini Unmanned Aerial Vehicles (MUAV) - shipped with heterogeneous sensors have become a 'most wanted' Remote Sensing (RS) tool. Most of the off-the-shelf aerial systems found in the market provide way-point navigation. However, they do not rely on a tool that compute the aerial trajectories considering all the aspects that allow optimizing the aerial missions. One of the most demanded RS applications of MUAV is image surveying. The images acquired are typically used to build a high-resolution image, i.e., a mosaic of the workspace surface. Although, it may be applied to any other application where a sensor-based map must be computed. This thesis provides a study of this application and a set of solutions and methods to address this kind of aerial mission by using a fleet of MUAVs. In particular, a set of algorithms are proposed for map-based sampling, and aerial coverage path planning (ACPP). Regarding to map-based sampling, the approaches proposed consider workspaces with different shapes and surface characteristics. The workspace is sampled considering the sensor characteristics and a set of mission requirements. The algorithm applies different computational geometry approaches, providing a unique way to deal with workspaces with different shape and surface characteristics in order to be surveyed by one or more MUAVs. This feature introduces a previous optimization step before path planning. After that, the ACPP problem is theorized and a set of ACPP algorithms to compute the MUAVs trajectories are proposed. The problem addressed herein is the problem to coverage a wide area by using MUAVs with limited autonomy. Therefore, the mission must be accomplished in the shortest amount of time. The aerial survey is usually subject to a set of workspace restrictions, such as the take-off and landing positions as well as a safety distance between elements of the fleet. Moreover, it has to avoid forbidden zones to y. Three different algorithms have been studied to address this problem. The approaches studied are based on graph searching, heuristic and meta-heuristic approaches, e.g., mimic, evolutionary. Finally, an extended survey of field experiments applying the previous methods, as well as the materials and methods adopted in outdoor missions is presented. The reported outcomes demonstrate that the findings attained from this thesis improve ACPP mission for mapping purpose in an efficient and safe manner.

Versatile peptide dendrimers for nucleic acid delivery

Dendrimers are nonviral vectors that have attracted interest on account of a number of features. They are structurally versatile because their size, shape, and surface charge can be selectively altered. Here we examine the functions of a new family of composite dendrimers that were synthesized with lipidic amino acid cores. These dendrimers are bifunctional because they are characterized by positively charged (lysine) modules for interaction with nucleic acids and neutral lipidic moieties for membrane lipid-bilayer transit. We assessed their structure-function correlations by a combination of molecular and biophysical techniques. Our assessment revealed an unexpected pleitropy of functions subserved by these vectors that included plasmid and oligonucleotide delivery. We also generated a firefly luciferase cell line in which we could modulate luciferase activity by RNA interference. We found that these vectors could also mediate RNA suppression of luciferase expression by delivering double-stranded luciferase transcripts generated in vitro. The structural uniqueness of these lipidic peptide dendrimers coupled with their ease and specificity of assembly and the versatility in their choice of cargo, puts them in a new category of macromolecule carriers. These vectors, therefore, have potential applications as epigenetic modifiers of gene function. (C) 2004 Wiley-Liss, Inc. and the American Pharmacists Association.

Microencapsulation studies with P(HB-HV) polymers

Microencapsulation processes, based upon the concept of solvent evaporation, have been employed within these studies to prepare microparticles from poly--hydroxybutyrate homopolymers and copolymers thereof with 3-hydroxyvalerate [P(HB-HV) polymers]. Variations in the preparative technique have facilitated the manufacture of two structurally distinct forms of microparticle. Thus, monolithic microspheres and reservoir-type microcapsules have been respectively fabricated by single and double emulsion-solvent evaporation processes. The objective of the studies reported in chapter three is to asses how a range of preparative variables affect the yield, shape and surface morphology of P(HB-HV) microcapsules. The following chapter then describes how microcapsule morphology in general, and microcapsule porosity in particular, can be regulated by blending the fabricating P(HB-HV) polymer with poly--caprolactone [PCL]. One revelation of these studies is the ability to generate uniformly microporous microcapsules from blends of various high molecular weight P(HB-HV) polymers with a low molecular weight form of PCL. These microcapsules are of particular interest because they may have the potential to facilitate the release of an encapsulated macromolecule via an aqueous diffusion mechanism which is not reliant on polymer degradation. In order to investigate this possibility, one such formulation is used in chapter five to encapsulate a wide range of different macromolecules, whose in vitro release behaviour is subsequently evaluated. The studies reported in chapter six centre on the preparation and characterization of hydrocortisone-loaded microspheres, prepared from a range of P(HB-HV) polymers, using a single emulsion-solvent evaporation process. In this chapter, the influence of the organic phase viscosity on the efficiency of drug encapsulation is the focus of initial investigations. Thereafter, it is shown how the strategies previously adopted for the regulation of microcapsule morphology can also be applied to single emulsion systems, with profound implications for the rate of drug release.

Self-assembly-driven electrospinning:the transition from fibers to intact beaded morphologies

Polymer beads have attracted considerable interest for use in catalysis, drug delivery, and photo­nics due to their particular shape and surface morphology. Electrospinning, typically used for producing nanofibers, can also be used to fabricate polymer beads if the solution has a sufficiently low concentration. In this work, a novel approach for producing more uniform, intact beads is presented by electrospinning self-assembled block copolymer (BCP) solutions. This approach allows a relatively high polymer concentration to be used, yet with a low degree of entanglement between polymer chains due to microphase separation of the BCP in a selective solvent system. Herein, to demonstrate the technology, a well-studied polystyrene-poly(ethylene butylene)–polystyrene triblock copolymer is dissolved in a co-solvent system. The effect of solvent composition on the characteristics of the fibers and beads is intensively studied, and the mechanism of this fiber-to-bead is found to be dependent on microphase separation of the BCP.