Characterization of canine dendritic cells in healthy, atopic, and non-allergic inflamed skin

Atopic dermatitis in humans and dogs is a chronic relapsing allergic skin disease. Dogs show a spontaneous disease similar to the human counterpart and represent a model to improve our understanding of the immunological mechanisms, the pathogenesis of the disease, and new therapy development. The aim of the study was to determine the frequency and phenotype of dendritic cells (DC) in the epidermis and dermis of healthy, canine atopic dermatitis lesional, and non-allergic inflammatory skin to further validate the model and to obtain insights into the contribution of DC to the pathogenesis of skin diseases in dogs. We first characterized canine skin DC using flow-cytometric analysis of isolated skin DC combined with an immunohistochemical approach. A major population of canine skin dendritic cells was identified as CD1c(+)CD11c(+)CD14(-)CD80(+)MHCII(+)MAC387(-) cells, with dermal DC but not Langerhans cells expressing CD11b. In the epidermis of lesional canine atopic dermatitis and non-allergic inflammatory skin, we found significantly more dendritic cells compared with nonlesional and control skin. Only in canine atopic dermatitis skin did we find a subset of dendritic cells positive for IgE, in the epidermis and the dermis. Under all inflammatory conditions, dermal dendritic cells expressed more CD14 and CD206. MAC387(+) putative macrophages were absent in healthy but present in inflamed skin, in particular during non-allergic diseases. This study permits a phenotypic identification and differentiation of canine skin dendritic cells and has identified markers and changes in dendritic cells and macrophage populations related to allergic and non-allergic inflammatory conditions. Our data suggest the participation of dendritic cells in the pathogenesis of canine atopic dermatitis similar to human atopic dermatitis and further validate the only non-murine spontaneous animal model for this disease.

Solid-State Compatibilization of Immiscible Polymer Blends: Cryogenic Milling and Solid-State Shear Pulverization

The blending of common polymers allows for the rapid and facile synthesis of new materials with highly tunable properties at a fraction of the costs of new monomer development and synthesis. Most blends of polymers, however, are completely immiscible and separate into distinct phases with minimal phase interaction, severelydegrading the performance of the material. Cross-phase interactions and property enhancement can be achieved with these blends through reactive processing or compatibilizer addition. A new class of blend compatibilization relies on the mechanochemical reactions between polymer chains via solid-state, high energy processing. Two contrasting mechanochemical processing techniques are explored in this thesis: cryogenic milling and solid-state shear pulverization (SSSP). Cryogenic milling is a batch process where a milling rod rapidly impacts the blend sample while submerged within a bath of liquid nitrogen. In contrast, SSSP is a continuous process where blend components are subjected to high shear and compressive forces while progressing down a chilled twin-screw barrel. In the cryogenic milling study, through the application of a synthesized labeledpolymer, in situ formation of copolymers was observed for the first time. The microstructures of polystyrene/high-density polyethylene (PS/HDPE) blends fabricated via cryomilling followed by intimate melt-state mixing and static annealing were found to be morphologically stable over time. PS/HDPE blends fabricated via SSSP also showed compatibilization by way of ideal blend morphology through growth mechanisms with slightly different behavior compared to the cryomilled blends. The new Bucknell University SSSP instrument was carefully analyzed and optimized to produce compatibilized polymer blends through a full-factorial experiment. Finally, blends of varying levels of compatibilization were subjected to common material tests to determine alternative means of measuring and quantifying compatibilization,

Generative Serienproduktion von Mikrokomponenten

Stetig steigende Funktionalitäten, intelligente Materialien, eine möglichst geringe Leistungsaufnahme verbunden mit kleinem Volumen und geringem Gewicht sind die zentralen Anforderungen u.a. der Medizintechnik und der Telekommunikation. Um diesen Bedarf mit industriellen Fertigungsverfahren abzudecken, startete das Unternehmen nach seiner Gründung in Rumeln bereits 1996 mit dem Aufbau der RMPD® Technologiefamilie. Heute sichern diese Technologien, mit denen die direkte Serienproduktion auf Basis der CAD Kontruktionsdaten für Mikrosysteme und –komponenten werkzeuglos erfolgt, einem internationalen Kundenkreis Markterfolge mit dem Einsatz patentierter Fertigungssysteme. microTEC ist an zwei Standorten als Auftragsproduzent für Unternehmen u.a. aus den Bereichen Sensorik, Telekommunikation, Medizintechnik und Biotechnologie tätig. Mit den RMPD® Technologien profitieren die Kunden auch durch die schnelle Anpassungsfähigkeit an sich ändernde Marktbedingungen und Verbraucherwünsche. Über 300 Kunststoffe mit den unterschiedlichsten Eigenschaften stehen für mikroelektronische Packaging-Dienstleistungen und Auftragsfertigung von Mikrosystemen zur Verfügung, zu den Produkten gehören z.B. Mikrogetriebe mit selbstschmierenden Zahnrädern und Lab-on-a-Chipsysteme, die mit dem Einsatz hydrophiler Kunststoffe die Kapillarwirkung auch in 3D nutzen. Die beiden Geschäftsführer Dipl. Ing. Reiner Götzen und Andrea Reinhardt, sowie der Prokurist Dr. Ing. Helge Bohlmann stehen für eine konzernunabhängige, kundenorientierte Strategie und verfügen über langjährige Erfahrung als mittelständische Unternehmer. Dies bildet zusammen mit der internationalen Marktorientierung, dem branchenübergreifenden Technologie Know-how und den inhouse verfügbaren Produktionsanlagen die Basis für den weiteren Standortausbau im 8. Jahr des Unternehmens.

Semantic Methods for Intelligent Distributed Design Environments

Continuous advancements in technology have led to increasingly comprehensive and distributed product development processes while in pursuit of improved products at reduced costs. Information associated with these products is ever changing, and structured frameworks have become integral to managing such fluid information. Ontologies and the Semantic Web have emerged as key alternatives for capturing product knowledge in both a human-readable and computable manner. The primary and conclusive focus of this research is to characterize relationships formed within methodically developed distributed design knowledge frameworks to ultimately provide a pervasive real-time awareness in distributed design processes. Utilizing formal logics in the form of the Semantic Web’s OWL and SWRL, causal relationships are expressed to guide and facilitate knowledge acquisition as well as identify contradictions between knowledge in a knowledge base. To improve the efficiency during both the development and operational phases of these “intelligent” frameworks, a semantic relatedness algorithm is designed specifically to identify and rank underlying relationships within product development processes. After reviewing several semantic relatedness measures, three techniques, including a novel meronomic technique, are combined to create AIERO, the Algorithm for Identifying Engineering Relationships in Ontologies. In determining its applicability and accuracy, AIERO was applied to three separate, independently developed ontologies. The results indicate AIERO is capable of consistently returning relatedness values one would intuitively expect. To assess the effectiveness of AIERO in exposing underlying causal relationships across product development platforms, a case study involving the development of an industry-inspired printed circuit board (PCB) is presented. After instantiating the PCB knowledge base and developing an initial set of rules, FIDOE, the Framework for Intelligent Distributed Ontologies in Engineering, was employed to identify additional causal relationships through extensional relatedness measurements. In a conclusive PCB redesign, the resulting “intelligent” framework demonstrates its ability to pass values between instances, identify inconsistencies amongst instantiated knowledge, and identify conflicting values within product development frameworks. The results highlight how the introduced semantic methods can enhance the current knowledge acquisition, knowledge management, and knowledge validation capabilities of traditional knowledge bases.

Noble gas, CFC and other geochemical evidence for the age and origin of the Bath thermal waters, UK

The city of Bath is a World Heritage site and its thermal waters, the Roman Baths and new spa development rely on undisturbed flow of the springs (45 °C). The current investigations provide an improved understanding of the residence times and flow regime as basis for the source protection. Trace gas indicators including the noble gases (helium, neon, argon, krypton and xenon) and chlorofluorocarbons (CFCs), together with a more comprehensive examination of chemical and stable isotope tracers are used to characterise the sources of the thermal water and any modern components. It is shown conclusively by the use of 39Ar that the bulk of the thermal water has been in circulation within the Carboniferous Limestone for at least 1000 years. Other stable isotope and noble gas measurements confirm previous findings and strongly suggest recharge within the Holocene time period (i.e. the last 12 kyr). Measurements of dissolved 85Kr and chlorofluorocarbons constrain previous indications from tritium that a small proportion (<5%) of the thermal water originates from modern leakage into the spring pipe passing through Mesozoic valley fill underlying Bath. This introduces small amounts of O2 into the system, resulting in the Fe precipitation seen in the King’s Spring. Silica geothermometry indicates that the water is likely to have reached a maximum temperature of between 69–99 °C, indicating a most probable maximum circulation depth of ∼3 km, which is in line with recent geological models. The rise to the surface of the water is sufficiently indirect that a temperature loss of >20 °C is incurred. There is overwhelming evidence that the water has evolved within the Carboniferous Limestone formation, although the chemistry alone cannot pinpoint the geometry of the recharge area or circulation route. For a likely residence time of 1–12 kyr, volumetric calculations imply a large storage volume and circulation pathway if typical porosities of the limestone at depth are used, indicating that much of the Bath-Bristol basin must be involved in the water storage.

Evaluating a medical error taxonomy

Healthcare has been slow in using human factors principles to reduce medical errors. The Center for Devices and Radiological Health (CDRH) recognizes that a lack of attention to human factors during product development may lead to errors that have the potential for patient injury, or even death. In response to the need for reducing medication errors, the National Coordinating Council for Medication Errors Reporting and Prevention (NCC MERP) released the NCC MERP taxonomy that provides a standard language for reporting medication errors. This project maps the NCC MERP taxonomy of medication error to MedWatch medical errors involving infusion pumps. Of particular interest are human factors associated with medical device errors. The NCC MERP taxonomy of medication errors is limited in mapping information from MEDWATCH because of the focus on the medical device and the format of reporting.

The role of commercial actors in snowboarding

Commercial actors play an essential role in the organisational structure of snowboarding by sponsoring athletes, arranging events, contributing to product development and developing long-term partnerships with other key actors. However, the particularities of their role in the alternative sports cultures which are related to brand marketing strategies have not been extensively researched. Based on Hitzler and Niederbachers (2010) framework of social scenes, Stegbauers (2008) social network and Adjouri and Stastnys (2006) branding theories, analysis is carried out using an ethnographic approach. This includes participant observation of relevant events and semi-structured interviews with over forty key actors of the sport to examine the roles and activities of core actors within snowboarding. The findings reveal that brands have gained an important position within the scene; where they can build partnerships with other core and periphery actors in order to market particularly identities, lifestyles and products. This contributes to the development of a sport which is dependent on brands for its continuity. By using promotional strategies of sponsoring athletes, organising events and feeding media with scene-related content, the aesthetical values of the snowboarding sport are communicated and transferred, while ensuring exposure of the brand’s image and lifestyle. Social contacts as well as knowledge on particularities of the sport allow the commercial actors to gain an influential position and identity within the snowboarding core culture. Keywords: commercial actors, alternative sport cultures, social networks, brands, snowboarding References Adjouri, N. & Stastny, P. (2006). Sport-Branding: Mit Sport-Sponsoring zum Markenerfolg. Wiesbaden: Gabler. Hitzler, R. & Niederbacher, A. (2010). Leben in Szenen: Formen juveniler Vergemeinschaftung heute. Wiesbaden: VS Verlag für Sozialwissenschaften. Stegbauer, C. (2008). Netzwerkanalyse und Netzwerktheorie. Ein neues Paradigma in den Sozialwissenschaften. Wiesbaden: VS Verlag für Sozialwissenschaften.

What Makes a Family Firm Innovative? CEO Risk-Taking Propensity and the Organizational Context of Family Firms

Investigating the new product portfolio innovativeness of family firms connects two important topics that have recently received considerable attention in innovation and family firm research. First, new product portfolio innovativeness has been identified as a critical determinant of firm performance. Second, research on family firms has focused on the questions of if and why family firms are more or less innovative than other organizational forms. Research investigating the innovativeness of family firms has often applied a risk-oriented perspective by identifying socioemotional wealth (SEW) as the main reference that determines firm behavior. Thus, prior research has mainly focused on the organizational context to predict innovation-related family firm behavior and neglected the impact of preferences and the behavior of the chief executive officer (CEO), which have both been shown to affect firm outcomes. Hence, this study aims to extend the previous research by introducing the CEO's disposition to organizational context variables to explain the new product portfolio innovativeness of small and medium-sized family firms. Specifically, this study explores how the organizational context (i.e., ownership by top management team [TMT] family members and generation in charge of the family firm) of family firms interacts with CEO risk-taking propensity to affect new product portfolio innovativeness. Using a sample of 114 German CEOs of small and medium-sized family firms operating in manufacturing industries, the results show that CEO risk-taking propensity has a positive effect on new product portfolio innovativeness. Moreover, the analyses show that the organizational context of family firms impacts the relationship between CEO risk-taking propensity and new product portfolio innovativeness. Specifically, the relationship between CEO risk-taking propensity and new product portfolio innovativeness is weaker if levels of ownership by TMT family members are high (high SEW). Additionally, the effect of CEO risk-taking propensity on new product portfolio innovativeness is stronger in family firms at earlier generational stages (high SEW). This result suggests that if SEW is a strong reference, family firm-specific characteristics can affect individual dispositions and, in turn, the behaviors of executives. Therefore, this study helps extend the knowledge on the determinants of new product portfolio innovativeness of family firms by considering an individual CEO preference and the organizational context variables of family firms simultaneously.

The relationship between top management team innovation orientation and firm growth: The mediating role of firm innovativeness

Upper echelon theory and research on innovation have considered top management teams and their behaviour and characteristics as important factors that positively influence innovativeness and organizational outcomes. Yet, innovation research has mostly focused on individual new product projects, and their performance and impact on firm performance. Recent research has started to apply a more holistic view in terms of innovation, by considering firm-wide innovation instead of single new products. Upper echelon research has concentrated on direct relationships between top management team characteristics and organizational outcomes. But recent research calls for mediating effects of the relationship between top management team characteristics and organizational outcomes. Hence, this study introduces firm innovativeness as a mediator between top management team innovation orientation and firm growth. Focusing on small and medium-sized firms, which often represent highly innovative firms, results show that firm innovativeness fully mediates the relationship between top management team innovation orientation and firm growth. Implications and future research are discussed.