943 resultados para gall maker
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CD4+CD25+FoxP3+ regulatorische T-Zellen (Treg) spielen eine essentielle Rolle bei der Unterdrückung von schädlichen Immunreaktionen. Da aktivierte CD4+ T-Helferzellen auch CD25 und FoxP3 exprimieren, können diese nicht als spezifische Marker zur Identifikation von Treg verwendet werden. Die Analyse der Membranproteinexpression beider Populationen führte zur Identifikation von GARP (glycoprotein A repetitions predominant) als spezifischer Marker auf aktivierten Treg. GARP bindet LAP und TGF-beta, welches für die Unterdrückung von entzündlichen T-Zellantworten von Bedeutung ist. Um die Funktion von GARP unabhängig von Treg zu untersuchen, wurde ein lösliches GARP Protein (sGARP) synthetisiert und sein Effekt auf die Aktivierung und Differenzierung von humanen T-Zellen untersucht. Die Ergebnisse zeigen, dass sGARP die Proliferation von naiven CD4+ T-Zellen supprimiert und zu einer Phosphorylierung von SMAD2/3 sowie zu der Induktion von FoxP3 führt. Zusätzlich inhibiert sGARP die Produktion von Effektorzytokinen wie IL-2 und IFN-gamma. Die Stimulation von naiven CD4+ T-Zellen mit sGARP induziert die Differenzierung zu Treg, welche in Kokultur die Aktivierung von T-Effektorzellen supprimieren. Die Wirkung war vergleichbar in naiven CD4+ und ruhenden CD4+CD45RA+ T-Zellen, konnte aber in differenzierten CD4+CD45RO+ T-Zellen nicht nachgewiesen werden. Die Induktion von FoxP3 und die Phosphorylierung von SMAD2/3 konnte durch eine Blockade des TGF-beta-Signalweges inhibiert werden. Dies lässt vermuten, dass die Funktion von sGARP zumindest teilweise von TGF-beta abhängig ist. Zusätzlich zu seiner passiven Rolle als TGF-beta-Transporter, induzierte sGARP die TGF-beta-Produktion in naiven T-Zellen und trägt so zum Mechanismus der infektiösen Toleranz bei. Des Weiteren fördert die Stimulation von sGARP in Anwesenheit von IL-6 und IL-23 die Differenzierung zu Th17 Zellen. rnNeben dem Einfluss von sGARP auf die Differenzierung von CD4+ T-Zellen, supprimiert sGARP die Proliferation und Granzyme B-Expression in CD8+ T-Zellen. rnFür die Analyse der immunmodulatorischen Funktion von sGARP in vivo wurde ein Modell einer xenogenen GvHD (graft-versus-host disease) verwendet. Der Transfer von humanen PBMC in neugeborene, immundefiziente Rag2-/-gamma-chain-/--Mäuse führt zu einer letalen GvHD, welche durch die Applikation von humanen Treg dosisabhängig unterdrückt werden kann. In diesem Modell konnte die repetitive Gabe von sGARP, ohne zusätzliche Zugabe von Treg, ebenfalls die GvHD unterdrücken. Dies lässt auf einen synergistischen Effekt von sGARP und Treg bei der Suppression inflammatorischer T-Zellantworten schließen. rnZusammengefasst lassen die Ergebnisse auf eine entscheidende Rolle von GARP in der Modulation der peripheren Toleranz folgern und zeigen sGARP als potentes Biological für die Behandlung von unerwünschten inflammatorischen Immunantworten.
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Introduzione alla tecnologia PCB. Introduzione software design Circuit Maker Conversione circuito per micro-potenze con CircuitMaker
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Melatonin is an important endocrine signal for darkness in mammals. Transcriptional activation of the arylalkylamine-N-acetyltransferase gene encoding for the penultimate enzyme in melatonin synthesis drives the daily rhythm of the hormone in the pineal gland of rodents. Rhythmic arylalkylamine-N-acetyltransferase expression is controlled by the cAMP-signal transduction pathway and involves the activation of ?-adrenergic receptors and the inducible cAMP early repressor. In addition, the rat arylalkylamine-N-acetyltransferase promoter contains an E-box element which can interact with clock proteins. Moreover, the pineal gland of mice shows a circadian rhythm in clock proteins such as the transcriptional repressor Period1, which has been shown to control rhythmic gene expression in a variety of tissues. However, the role of Period1 in the regulation of pineal melatonin synthesis is still unknown. Therefore, circadian rhythms in arylalkylamine-N-acetyltransferase, ?-adrenergic receptor, and inducible cAMP early repressor mRNA levels (real time PCR), arylalkylamine-N-acetyltransferase enzyme activity (radiometric assay) and melatonin concentration radio immuno assay (RIA) were analyzed in the pineal gland of mice with a targeted deletion of the Period1 gene (Per1-/-) and the corresponding wildtype. In Per1-/- the amplitude in arylalkylamine-N-acetyltransferase expression was significantly elevated as compared to wildtype. In contrast, ?-adrenergic receptor and inducible cAMP early repressor mRNA levels were not affected by the Period1-deficiency. This indicates that the molecular clockwork alters the amplitude of arylalkylamine-N-acetyltransferase expression. In vitro, pineal glands of Per1-/- mice showed a day night difference in arylalkylamine-N-acetyltransferase expression with high levels at night. This suggests that a deficient in Period1 elicits similar effects as the activation of the cAMP-signal transduction pathway in wildtype mice.
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Osseointegration of titanium dental implants into the jaw bone, which is required for maintenance of the implant in the jaw, results in ankylosis. Dental implants are therefore very unlike natural teeth, which exhibit significant movement in response to mechanical forces. The ability to generate periodontal ligament (PDL) tissues onto dental implants would better mimic the functional characteristics of natural teeth, and would likely improve implant duration and function. OBJECTIVES: The objective of this study was to investigate the feasibility of bioengineering PDL tissues onto titanium implant surfaces. METHODS: Bilateral maxillary first and second molars of 8-week old rats were extracted and used to generate single cell suspensions of PDL tissues, which were expanded in culture. Immunohistochemistry and RT-PCR were used to identify putative PDL progenitor/stem cell populations and characterize stem cell properties, including self-renewal, multipotency and stem cell maker expression. Cultured rPDL cells were harvested at third passage, seeded onto Matrigel-coated titanium implants (1.75 mm x 1 mm), and placed into healed M1/M2 extraction sites. Non-cell seeded Matrigel-coated titanium implants served as negative controls. Implants were harvested after 8, 12, or 18 weeks. RESULTS: Cultured rPDL cells expressed the mesenchymal stem-cell marker STRO-1. Under defined culture conditions, PDL cells differentiated into adipogenic, neurogenic and osteogenic lineages. While control implants were largely surrounded by alveolar bone, experimental samples exhibited fibrous PDL-like tissues, and perhaps cementum, on the surface of experimental implants. CONCLUSIONS: PDL contains stem cells that can generate cementum/PDL-like tissue in vivo. Transplantation of these cells might hold promise as a therapeutic approach for the bioengineering of PDL tissues onto titanium implant. Further refinement of this method will likely result in improved dental implant strategies for use of autologous PDL tissue regeneration in humans. This research was supported by CIMIT, and NIH/NIDCR grant DE016132 (PCY), and TEACRS (YL).
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Intermediaries permeate modern economic exchange. Most classical models on intermediated exchange are driven by information asymmetry and inventory management. These two factors are of reduced significance in modern economies. This makes it necessary to develop models that correspond more closely to modern financial marketplaces. The goal of this dissertation is to propose and examine such models in a game theoretical context. The proposed models are driven by asymmetries in the goals of different market participants. Hedging pressure as one of the most critical aspects in the behavior of commercial entities plays a crucial role. The first market model shows that no equilibrium solution can exist in a market consisting of a commercial buyer, a commercial seller and a non-commercial intermediary. This indicates a clear economic need for non-commercial trading intermediaries: a direct trade from seller to buyer does not result in an equilibrium solution. The second market model has two distinct intermediaries between buyer and seller: a spread trader/market maker and a risk-neutral intermediary. In this model a unique, natural equilibrium solution is identified in which the supply-demand surplus is traded by the risk-neutral intermediary, whilst the market maker trades the remainder from seller to buyer. Since the market maker’s payoff for trading at the identified equilibrium price is zero, this second model does not provide any motivation for the market maker to enter the market. The third market model introduces an explicit transaction fee that enables the market maker to secure a positive payoff. Under certain assumptions on this transaction fee the equilibrium solution of the previous model applies and now also provides a financial motivation for the market maker to enter the market. If the transaction fee violates an upper bound that depends on supply, demand and riskaversity of buyer and seller, the market will be in disequilibrium.
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During the project, managers encounter numerous contingencies and are faced with the challenging task of making decisions that will effectively keep the project on track. This task is very challenging because construction projects are non-prototypical and the processes are irreversible. Therefore, it is critical to apply a methodological approach to develop a few alternative management decision strategies during the planning phase, which can be deployed to manage alternative scenarios resulting from expected and unexpected disruptions in the as-planned schedule. Such a methodology should have the following features but are missing in the existing research: (1) looking at the effects of local decisions on the global project outcomes, (2) studying how a schedule responds to decisions and disruptive events because the risk in a schedule is a function of the decisions made, (3) establishing a method to assess and improve the management decision strategies, and (4) developing project specific decision strategies because each construction project is unique and the lessons from a particular project cannot be easily applied to projects that have different contexts. The objective of this dissertation is to develop a schedule-based simulation framework to design, assess, and improve sequences of decisions for the execution stage. The contribution of this research is the introduction of applying decision strategies to manage a project and the establishment of iterative methodology to continuously assess and improve decision strategies and schedules. The project managers or schedulers can implement the methodology to develop and identify schedules accompanied by suitable decision strategies to manage a project at the planning stage. The developed methodology also lays the foundation for an algorithm towards continuously automatically generating satisfactory schedule and strategies through the construction life of a project. Different from studying isolated daily decisions, the proposed framework introduces the notion of {em decision strategies} to manage construction process. A decision strategy is a sequence of interdependent decisions determined by resource allocation policies such as labor, material, equipment, and space policies. The schedule-based simulation framework consists of two parts, experiment design and result assessment. The core of the experiment design is the establishment of an iterative method to test and improve decision strategies and schedules, which is based on the introduction of decision strategies and the development of a schedule-based simulation testbed. The simulation testbed used is Interactive Construction Decision Making Aid (ICDMA). ICDMA has an emulator to duplicate the construction process that has been previously developed and a random event generator that allows the decision-maker to respond to disruptions in the emulation. It is used to study how the schedule responds to these disruptions and the corresponding decisions made over the duration of the project while accounting for cascading impacts and dependencies between activities. The dissertation is organized into two parts. The first part presents the existing research, identifies the departure points of this work, and develops a schedule-based simulation framework to design, assess, and improve decision strategies. In the second part, the proposed schedule-based simulation framework is applied to investigate specific research problems.
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In many complex and dynamic domains, the ability to generate and then select the appropriate course of action is based on the decision maker's "reading" of the situation--in other words, their ability to assess the situation and predict how it will evolve over the next few seconds. Current theories regarding option generation during the situation assessment and response phases of decision making offer contrasting views on the cognitive mechanisms that support superior performance. The Recognition-Primed Decision-making model (RPD; Klein, 1989) and Take-The-First heuristic (TTF; Johnson & Raab, 2003) suggest that superior decisions are made by generating few options, and then selecting the first option as the final one. Long-Term Working Memory theory (LTWM; Ericsson & Kintsch, 1995), on the other hand, posits that skilled decision makers construct rich, detailed situation models, and that as a result, skilled performers should have the ability to generate more of the available task-relevant options. The main goal of this dissertation was to use these theories about option generation as a way to further the understanding of how police officers anticipate a perpetrator's actions, and make decisions about how to respond, during dynamic law enforcement situations. An additional goal was to gather information that can be used, in the future, to design training based on the anticipation skills, decision strategies, and processes of experienced officers. Two studies were conducted to achieve these goals. Study 1 identified video-based law enforcement scenarios that could be used to discriminate between experienced and less-experienced police officers, in terms of their ability to anticipate the outcome. The discriminating scenarios were used as the stimuli in Study 2; 23 experienced and 26 less-experienced police officers observed temporally-occluded versions of the scenarios, and then completed assessment and response option-generation tasks. The results provided mixed support for the nature of option generation in these situations. Consistent with RPD and TTF, participants typically selected the first-generated option as their final one, and did so during both the assessment and response phases of decision making. Consistent with LTWM theory, participants--regardless of experience level--generated more task-relevant assessment options than task-irrelevant options. However, an expected interaction between experience level and option-relevance was not observed. Collectively, the two studies provide a deeper understanding of how police officers make decisions in dynamic situations. The methods developed and employed in the studies can be used to investigate anticipation and decision making in other critical domains (e.g., nursing, military). The results are discussed in relation to how they can inform future studies of option-generation performance, and how they could be applied to develop training for law enforcement officers.
Impact of an exceptionally hot dry summer on photosynthetic traits in oak (Quercus pubescens) leaves
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Inspissated bile syndrome in a 6Â week old boy was unresponsive to oral ursodesoxycholic acid. Intraoperative cholangiography revealed complete obstruction of the common bile duct. Therefore, the gallbladder fundus was pulled out through a laparoscopy port site and sutured to the fascia. A catheter was positioned into the infundibulum for irrigation with ursodesoxycholic acid. At day 8 complete resolution of the plug and free passage of contrast medium into the duodenum was documented radiologically. The catheter was removed, skin closed spontaneously without a second surgery for closure of the gall bladder.