Konzept eines aktiven Pulverinhalators

In dieser Arbeit wird das Konzept eines aktiven Pulverinhalators entwickelt. Im Gegensatz zu einem passiven Pulverinhalator ist bei solch einem Gerät die Abgabe und Dispergierung der Arzneistoffformulierung nicht von einem Inhalationsmanöver abhängig, welches von Patient zu Patient variiert. Solch ein System würde folglich die Zuverlässigkeit und Effizienz der inhalativen Therapie verbessern. Mögliche Anwendungen für einen aktiven Pulverinhalator wären vor allem Indikationen, die die Abgabe hoher Dosen erfordern, wie z.B. in der Therapie mit Antibiotika.rnIn einem Designprozess, der alle aus Kundenwünschen ermittelten Konstruktionsanforderungen sammelt und verschiedene Lösungsansätze vergleicht, wird ein mit Treibgas betriebener atemzugsausgelöster, Mehrfach-Dosis Pulverinhalator als aussichtsreichstes Konzept ermittelt. Dieses Konzept wird in Form von eigens konstruierten Labor-Test-Rigs entwickelt und vor allem hinsichtlich Höhe der Dosierung, Dosiergenauigkeit, und Flussratenabhängigkeit evaluiert. In der Spitze können über 16 mg lungengängiger Dosis erreicht werden, bei im Vergleich zu dem eingesetzten passiven Inhalator mindestens nur halb so großer Streuung. Bei niedrigen Flussraten können immer noch bis zu 80 % der erzielten inhalierbaren Dosis von hohen Flussraten erreicht werden und damit die Ergebnisse des passiven Inhalators deutlich übertreffen.rnTeil der Aufgabe war es, dieses treibgasbetriebene Labor-Test-Rig so zu entwickeln, dass es implementierbar in einen atemzugsausgelösten Mehrfachdosis-Pulverinhalator ist. Dieser treibgasbetriebene, atemzugsausgelöste Mehrfachdosis-Pulverinhalator würde die Kundenwünsche und Konstruktionsanforderungen in sehr hohen Maße erfüllen, so dass hier die Möglichkeit besteht einen Inhalator mit sehr hohem Grad an Patienten-Compliance zu verwirklichen. Durch die Verwendung und Neukombination bereits etablierter Technologien und einen akzeptablen Stückkostenpreis besteht die Möglichkeit den Inhalator tatsächlich zu realisieren und zu vermarkten.

Neue wasserlösliche Cystein-Protease-Inhibitoren mit Aziridin-2,3-dicarbonsäure-Baustein

Die Leishmaniose gehört zu den „vernachlässigten tropischen Erkrankungen“. Sie wird durch parasitäre Protozoen der Gattung Leishmania ausgelöst. Weltweit sind ca. 12 Mio. Menschen infiziert, ca. 70 Tausend erliegen ihr jährlich. Die aktuelle Therapie wird überschattet von Toxizitäts- und Teratogenitätsproblemen und von aufkommenden Resistenzen. Die von den Leishmanien exprimierten Cysteinproteasen spielen vielfältige Rollen bei Wachstum und Vermehrung der Erreger. Aufgrund der evolutionären Verwandtschaft der Enzyme sind die parasitären Cysteinproteasen strukturell den humanen sehr ähnlich. Die Herausforderung bei der Entwicklung antiparasitärer Wirkstoffe, basierend auf der Hemmung dieser Proteasen, besteht deshalb darin, sehr selektive Inhibitoren zu entwickeln, die die Wirtsproteasen nicht, oder nur in einem vertretbaren Rahmen, inhibieren. Das Ziel dieser Arbeit war die Weiterentwicklung der Aziridin-2,3-dicarbonsäure-basierten Cysteinproteaseinhibitoren RV122C bzw. CS09 hinsichtlich Selektivität und Aktivität gegenüber der parasitären Cathepsin-L-ähnlichen Cystein-Protease LmCPB2.8 durch Design, incl. Docking, Synthese und Testung. Neben der gezielten Variation nicht essenzieller Gruppen wurde molekulares Docking mittels AutoDock Vina an Cruzain als verwandtes Modellenzym durchgeführt, um durch Variationen K.O.-Kandidaten für die Differenzierung zwischen zwei postulierten Bindungsmodi zu finden. Die Ergebnisse der Enzymassays zeigen eine Verbesserung der Hemmeigenschaften bei gleichzeitig verbesserter Selektivität sowie erhöhter ligand efficiency und ligand lipophilic efficiency für Derivate mit sterisch anspruchsvolleren Ester-Resten und für Derivate mit einer freien Carbonsäurefunktion am Aziridin-Ring (Halbester).

The Repairing of Misconceptions through the Use of Inquiry-Based Activities

Misconceptions exist in all fields of learning and develop through a person’s preconception of how the world works. Students with misconceptions in chemical engineering are not capable of correctly transferring knowledge to a new situation and will likely arrive at an incorrect solution. The purpose of this thesis was to repair misconceptions in thermodynamics by using inquiry-based activities. Inquiry-based learning is a method of teaching that involves hands-on learning and self-discovery. Previous work has shown inquiry-based methods result in better conceptual understanding by students relative to traditional lectures. The thermodynamics activities were designed to guide students towards the correct conceptual understanding through observing a preconception fail to hold up through an experiment or simulation. The developed activities focus on the following topics in thermodynamics: “internal energy versus enthalpy”, “equilibrium versus steady state”, and “entropy”. For each topic, two activities were designed to clarify the concept and assure it was properly grasped. Each activity was coupled with an instructions packet containing experimental procedure as well as pre- and post-analysis questions, which were used to analyze the effect of the activities on the students’ responses. Concept inventories were used to monitor students’ conceptual understanding at the beginning and end of the semester. The results did not show a statistically significant increase in the overall concept inventory scores for students who performed the activities compared to traditional learning. There was a statistically significant increase in concept area scores for “internal energy versus enthalpy” and “equilibrium versus steady state”. Although there was not a significant increase in concept inventory scores for “entropy”, written analyses showed most students’ misconceptions were repaired. Students transferred knowledge effectively and retained most of the information in the concept areas of “internal energy versus enthalpy” and “equilibrium versus steady state”.

Truncated recombinant human SP-D attenuates emphysema and type II cell changes in SP-D deficient mice

BACKGROUND: Surfactant protein D (SP-D) deficient mice develop emphysema-like pathology associated with focal accumulations of foamy alveolar macrophages, an excess of surfactant phospholipids in the alveolar space and both hypertrophy and hyperplasia of alveolar type II cells. These findings are associated with a chronic inflammatory state. Treatment of SP-D deficient mice with a truncated recombinant fragment of human SP-D (rfhSP-D) has been shown to decrease the lipidosis and alveolar macrophage accumulation as well as production of proinflammatory chemokines. The aim of this study was to investigate if rfhSP-D treatment reduces the structural abnormalities in parenchymal architecture and type II cells characteristic of SP-D deficiency. METHODS: SP-D knock-out mice, aged 3 weeks, 6 weeks and 9 weeks were treated with rfhSP-D for 9, 6 and 3 weeks, respectively. All mice were sacrificed at age 12 weeks and compared to both PBS treated SP-D deficient and wild-type groups. Lung structure was quantified by design-based stereology at the light and electron microscopic level. Emphasis was put on quantification of emphysema, type II cell changes and intracellular surfactant. Data were analysed with two sided non-parametric Mann-Whitney U-test. MAIN RESULTS: After 3 weeks of treatment, alveolar number was higher and mean alveolar size was smaller compared to saline-treated SP-D knock-out controls. There was no significant difference concerning these indices of pulmonary emphysema within rfhSP-D treated groups. Type II cell number and size were smaller as a consequence of treatment. The total volume of lamellar bodies per type II cell and per lung was smaller after 6 weeks of treatment. CONCLUSION: Treatment of SP-D deficient mice with rfhSP-D leads to a reduction in the degree of emphysema and a correction of type II cell hyperplasia and hypertrophy. This supports the concept that rfhSP-D might become a therapeutic option in diseases that are characterized by decreased SP-D levels in the lung.

Living with Differences: From Everyday Fundamentalisms to Invitational Communication

This project examines fundamentalism understood as an everyday way of living poorly with difference. It demonstrates that the fundamentalist is not reducible to stereotypes of the terrorist, extremist, irrational madman, or religious zealot. All of these characterizations--common in mainstream media--depict the fundamentalist as them, and rarely, if ever, as us. Rather, this project understands fundamentalism in terms of fundamental interpretive constructs that constrain our ways of being-with others, skew our interpretive and responsive possibilities, distort our perceptions of difference, and affirm our poor treatment of others. Following Martin Heidegger's conception of the hermeneutic structure of existence, this dissertation calls attention to the ways in which such fundamentalisms filter our interpretation. Yet the hermeneutic character of existence also highlights the incompleteness of any particular frame of interpretation and indicates the possibility of alternative interpretive responses. The project turns to a feminist theological hermeneutic in order to indicate more hopeful and liberating ways of living with difference, ways that point beyond everyday fundamentalism toward invitational communication. Through new readings of familiar biblical narratives, this dissertation revisits the fundamentalisms that trigger these narratives in order to draw out an alternative feminist theological hermeneutic, or what is termed here an invitational hermeneutic. Each story offers unique ways of making sense of being-with and sharing the world with others of difference that redress the impoverished and fundamentalist forms of self-preserving care and understanding. By examining the well-loved stories of the Good Samaritan, Ruth and Naomi, Queen Esther, and the Apostle Paul and Lydia, the dissertation identifies interpretive and responsive possibilities that together issue an alternative hermeneutical invitation: to understand difference compassionately, to engage strangers and family members alike with rehabilitative care and concernful reticence, and to extend graceful hospitality to others. In these ways, the dissertation indicates possibilities beyond the horizon of fundamentalism, invitational possibilities of living and communicating with difference.

Multivariate modelling of responses to conditional items: New possibilities for latent class analysis

Questionnaire data may contain missing values because certain questions do not apply to all respondents. For instance, questions addressing particular attributes of a symptom, such as frequency, triggers or seasonality, are only applicable to those who have experienced the symptom, while for those who have not, responses to these items will be missing. This missing information does not fall into the category 'missing by design', rather the features of interest do not exist and cannot be measured regardless of survey design. Analysis of responses to such conditional items is therefore typically restricted to the subpopulation in which they apply. This article is concerned with joint multivariate modelling of responses to both unconditional and conditional items without restricting the analysis to this subpopulation. Such an approach is of interest when the distributions of both types of responses are thought to be determined by common parameters affecting the whole population. By integrating the conditional item structure into the model, inference can be based both on unconditional data from the entire population and on conditional data from subjects for whom they exist. This approach opens new possibilities for multivariate analysis of such data. We apply this approach to latent class modelling and provide an example using data on respiratory symptoms (wheeze and cough) in children. Conditional data structures such as that considered here are common in medical research settings and, although our focus is on latent class models, the approach can be applied to other multivariate models.

Particles induce apical plasma membrane enlargement in epithelial lung cell line depending on particle surface area dose

Background Airborne particles entering the respiratory tract may interact with the apical plasma membrane (APM) of epithelial cells and enter them. Differences in the entering mechanisms of fine (between 0.1 μm and 2.5 μm) and ultrafine ( ≤ 0.1 μm) particles may be associated with different effects on the APM. Therefore, we studied particle-induced changes in APM surface area in relation to applied and intracellular particle size, surface and number. Methods Human pulmonary epithelial cells (A549 cell line) were incubated with various concentrations of different sized fluorescent polystyrene spheres without surface charge (∅ fine – 1.062 μm, ultrafine – 0.041 μm) by submersed exposure for 24 h. APM surface area of A549 cells was estimated by design-based stereology and transmission electron microscopy. Intracellular particles were visualized and quantified by confocal laser scanning microscopy. Results Particle exposure induced an increase in APM surface area compared to negative control (p < 0.01) at the same surface area concentration of fine and ultrafine particles a finding not observed at low particle concentrations. Ultrafine particle entering was less pronounced than fine particle entering into epithelial cells, however, at the same particle surface area dose, the number of intracellular ultrafine particles was higher than that of fine particles. The number of intracellular particles showed a stronger increase for fine than for ultrafine particles at rising particle concentrations. Conclusion This study demonstrates a particle-induced enlargement of the APM surface area of a pulmonary epithelial cell line, depending on particle surface area dose. Particle uptake by epithelial cells does not seem to be responsible for this effect. We propose that direct interactions between particle surface area and cell membrane cause the enlargement of the APM.

Impulses for an Effective and Modern Data Protection System

A substantial reform of data protection law is on the agenda of the European Commission as it is widely agreed that data protection law is faced by lots of challenges, due to fundamental technical and social changes or even revolutions. Therefore, the authors have issued draft new provisions on data protection law that would work in both Germany and Europe. The draft is intended to provide a new approach and deal with the consequences of such an approach. This article contains some key theses on the main legislatory changes that appear both necessary and adequate.

EU Data Protection Law and Targeted Advertising: Consent and the Cookie Monster - Tracking the crumbs of online user behaviour

This article provides a holistic legal analysis of the use of cookies in Online Behavioural Advertising. The current EU legislative framework is outlined in detail, and the legal obligations are examined. Consent and the debates surrounding its implementation form a large portion of the analysis. The article outlines the current difficulties associated with the reliance on this requirement as a condition for the placing and accessing of cookies. Alternatives to this approach are explored, and the implementation of solutions based on the application of the Privacy by Design and Privacy by Default concepts are presented. This discussion involves an analysis of the use of code and, therefore, product architecture to ensure adequate protections.

Towards an Emergent Semantic Web

In his in uential article about the evolution of the Web, Berners-Lee [1] envisions a Semantic Web in which humans and computers alike are capable of understanding and processing information. This vision is yet to materialize. The main obstacle for the Semantic Web vision is that in today's Web meaning is rooted most often not in formal semantics, but in natural language and, in the sense of semiology, emerges not before interpretation and processing. Yet, an automated form of interpretation and processing can be tackled by precisiating raw natural language. To do that, Web agents extract fuzzy grassroots ontologies through induction from existing Web content. Inductive fuzzy grassroots ontologies thus constitute organically evolved knowledge bases that resemble automated gradual thesauri, which allow precisiating natural language [2]. The Web agents' underlying dynamic, self-organizing, and best-effort induction, enable a sub-syntactical bottom up learning of semiotic associations. Thus, knowledge is induced from the users' natural use of language in mutual Web interactions, and stored in a gradual, thesauri-like lexical-world knowledge database as a top-level ontology, eventually allowing a form of computing with words [3]. Since when computing with words the objects of computation are words, phrases and propositions drawn from natural languages, it proves to be a practical notion to yield emergent semantics for the Semantic Web. In the end, an improved understanding by computers on the one hand should upgrade human- computer interaction on the Web, and, on the other hand allow an initial version of human- intelligence amplification through the Web.

Implicit task sequence learning

Implicit task sequence learning (TSL) can be considered as an extension of implicit sequence learning which is typically tested with the classical serial reaction time task (SRTT). By design, in the SRTT there is a correlation between the sequence of stimuli to which participants must attend and the sequence of motor movements/key presses with which participants must respond. The TSL paradigm allows to disentangle this correlation and to separately manipulate the presences/absence of a sequence of tasks, a sequence of responses, and even other streams of information such as stimulus locations or stimulus-response mappings. Here I review the state of TSL research which seems to point at the critical role of the presence of correlated streams of information in implicit sequence learning. On a more general level, I propose that beyond correlated streams of information, a simple statistical learning mechanism may also be involved in implicit sequence learning, and that the relative contribution of these two explanations differ according to task requirements. With this differentiation, conflicting results can be integrated into a coherent framework.

Developmental self-construction and -configuration of functional neocortical neuronal networks.

The prenatal development of neural circuits must provide sufficient configuration to support at least a set of core postnatal behaviors. Although knowledge of various genetic and cellular aspects of development is accumulating rapidly, there is less systematic understanding of how these various processes play together in order to construct such functional networks. Here we make some steps toward such understanding by demonstrating through detailed simulations how a competitive co-operative ('winner-take-all', WTA) network architecture can arise by development from a single precursor cell. This precursor is granted a simplified gene regulatory network that directs cell mitosis, differentiation, migration, neurite outgrowth and synaptogenesis. Once initial axonal connection patterns are established, their synaptic weights undergo homeostatic unsupervised learning that is shaped by wave-like input patterns. We demonstrate how this autonomous genetically directed developmental sequence can give rise to self-calibrated WTA networks, and compare our simulation results with biological data.

Cultural capital and smoking in young adults: applying new indicators to explore social inequalities in health behaviour.

BACKGROUND Associations between social status and health behaviours are well documented, but the mechanisms involved are less understood. Cultural capital theory may contribute to a better understanding by expanding the scope of inequality indicators to include individuals' knowledge, skills, beliefs and material goods to examine how these indicators impact individuals' health lifestyles. We explore the structure and applicability of a set of cultural capital indicators in the empirical exploration of smoking behaviour among young male adults. METHODS We analysed data from the Swiss Federal Survey of Adolescents (CH-X) 2010-11 panel of young Swiss males (n = 10 736). A set of nine theoretically relevant variables (including incorporated, institutionalized and objectified cultural capital) were investigated using exploratory factor analysis. Regression models were run to observe the association between factor scores and smoking outcomes. Outcome measures consisted of daily smoking status and the number of cigarettes smoked by daily smokers. RESULTS Cultural capital indicators aggregated in a three-factor solution representing 'health values', 'education and knowledge' and 'family resources'. Each factor score predicted the smoking outcomes. In young males, scoring low on health values, education and knowledge and family resources was associated with a higher risk of being a daily smoker and of smoking more cigarettes daily. CONCLUSION Cultural capital measures that include, but go beyond, educational attainment can improve prediction models of smoking in young male adults. New measures of cultural capital may thus contribute to our understanding of the social status-based resources that individuals can use towards health behaviours.

Automatic identification of discourse markers in dialogues: An in-depth study of like and well

The lexical items like and well can serve as discourse markers (DMs), but can also play numerous other roles, such as verb or adverb. Identifying the occurrences that function as DMs is an important step for language understanding by computers. In this study, automatic classifiers using lexical, prosodic/positional and sociolinguistic features are trained over transcribed dialogues, manually annotated with DM information. The resulting classifiers improve state-of-the-art performance of DM identification, at about 90% recall and 79% precision for like (84.5% accuracy, κ = 0.69), and 99% recall and 98% precision for well (97.5% accuracy, κ = 0.88). Automatic feature analysis shows that lexical collocations are the most reliable indicators, followed by prosodic/positional features, while sociolinguistic features are marginally useful for the identification of DM like and not useful for well. The differentiated processing of each type of DM improves classification accuracy, suggesting that these types should be treated individually.

An International Professional Development Collaboration in Literacy Education

An International Professional Development Collaboration in Literacy Education is a report of an international professional development project in Guatemala designed to improve literacy instructional practices and thereby raise student achievement in reading and writing. The opportunity for coaching Guatemalan teachers in teaching literacy strategies and skills provides data for this participatory action research study. This research is intended to contribute to cross-cultural understanding by graduate and undergraduate students in literacy, improved pedagogical techniques, international outreach in developing countries, and student academic success worldwide.