852 resultados para Damage location
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Cervical cancer results from infection with high-risk type human papillomaviruses (HPV). Therapeutic vaccines aiming at controlling existing genital HPV infections and associated lesions are usually tested in mice with HPV-expressing tumor cells subcutaneously implanted into their flank. However, effective vaccine-induced regression of these ectopic tumors strongly contrasts with the poor clinical results of these vaccines produced in patients with HPV-associated genital neoplasia. To assess HPV therapeutic vaccines in a more relevant setting, we have, here, established an orthotopic mouse model where tumors in the genital mucosa (GM) develop after an intravaginal instillation of HPV16 E6/E7-expressing tumor cells transduced with a luciferase-encoding lentiviral vector for in vivo imaging of tumor growth. Tumor take was 80-90% after nonoxynol-9 induced damage of the epithelium. Tumors remained localized in the genital tract, and histological analysis showed that most tumors grew within the squamous epithelium of the vaginal wall. Those tumors induced (i) E7-specific CD8 T cells restricted to the GM and draining lymph nodes, in agreement with their mucosal location and (ii) high Foxp3+ CD4+ infiltrates, similarly to those found in natural non-regressing HPV lesions. This novel genital HPV-tumor model by requiring GM homing of vaccine-induced immune responses able to overcome local immuno-suppression may be more representative of the situation occurring in patients upon therapeutic vaccination.
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In this work, a previously-developed, statistical-based, damage-detection approach was validated for its ability to autonomously detect damage in bridges. The damage-detection approach uses statistical differences in the actual and predicted behavior of the bridge caused under a subset of ambient trucks. The predicted behavior is derived from a statistics-based model trained with field data from the undamaged bridge (not a finite element model). The differences between actual and predicted responses, called residuals, are then used to construct control charts, which compare undamaged and damaged structure data. Validation of the damage-detection approach was achieved by using sacrificial specimens that were mounted to the bridge and exposed to ambient traffic loads and which simulated actual damage-sensitive locations. Different damage types and levels were introduced to the sacrificial specimens to study the sensitivity and applicability. The damage-detection algorithm was able to identify damage, but it also had a high false-positive rate. An evaluation of the sub-components of the damage-detection methodology and methods was completed for the purpose of improving the approach. Several of the underlying assumptions within the algorithm were being violated, which was the source of the false-positives. Furthermore, the lack of an automatic evaluation process was thought to potentially be an impediment to widespread use. Recommendations for the improvement of the methodology were developed and preliminarily evaluated. These recommendations are believed to improve the efficacy of the damage-detection approach.
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Our mental representation of the world is far from objective. For example, western Canadians estimate the locations of North American cities to be too far to the west. This bias could be due to a reference point effect, in which people estimate more space between places close to them than far from them, or to representational pseudoneglect, in which neurologically intact individuals favor the left side of space when asked to image a scene.We tested whether either or both of these biases influence the geographic world representations of neurologically intact young adults from Edmonton and Ottawa, which are in western and eastern Canada, respectively. Individuals were asked to locate NorthAmerican cities on a two-dimensional grid. Both groups revealed effects of representational pseudoneglect in this novel paradigm, but they also each exhibited reference point effects. These results inform theories in both cognitive psychology and neuroscience.
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The 2011 Missouri River flooding caused significant damage to many geo-infrastructure systems including levees, bridge abutments/foundations, paved and unpaved roadways, culverts, and embankment slopes in western Iowa. The flooding resulted in closures of several interchanges along Interstate 29 and of more than 100 miles of secondary roads in western Iowa, causing severe inconvenience to residents and losses to local businesses. The main goals of this research project were to assist county and city engineers by deploying and using advanced technologies to rapidly assess the damage to geo-infrastructure and develop effective repair and mitigation strategies and solutions for use during future flood events in Iowa. The research team visited selected sites in western Iowa to conduct field reconnaissance, in situ testing on bridge abutment backfills that were affected by floods, flooded and non-flooded secondary roadways, and culverts. In situ testing was conducted shortly after the flood waters receded, and several months after flooding to evaluate recovery and performance. Tests included falling weight deflectometer, dynamic cone penetrometer, three-dimensional (3D) laser scanning, ground penetrating radar, and hand auger soil sampling. Field results indicated significant differences in roadway support characteristics between flooded and non-flooded areas. Support characteristics in some flooded areas recovered over time, while others did not. Voids were detected in culvert and bridge abutment backfill materials shortly after flooding and several months after flooding. A catalog of field assessment techniques and 20 potential repair/mitigation solutions are provided in this report. A flow chart relating the damages observed, assessment techniques, and potential repair/mitigation solutions is provided. These options are discussed for paved/unpaved roads, culverts, and bridge abutments, and are applicable for both primary and secondary roadways.
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This work is divided into three volumes: Volume I: Strain-Based Damage Detection; Volume II: Acceleration-Based Damage Detection; Volume III: Wireless Bridge Monitoring Hardware. Volume I: In this work, a previously-developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule. An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training. Volume II: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The objective of this part of the project was to validate/integrate a vibration-based damage-detection algorithm with the strain-based methodology formulated by the Iowa State University Bridge Engineering Center. This report volume (Volume II) presents the use of vibration-based damage-detection approaches as local methods to quantify damage at critical areas in structures. Acceleration data were collected and analyzed to evaluate the relationships between sensors and with changes in environmental conditions. A sacrificial specimen was investigated to verify the damage-detection capabilities and this volume presents a transmissibility concept and damage-detection algorithm that show potential to sense local changes in the dynamic stiffness between points across a joint of a real structure. The validation and integration of the vibration-based and strain-based damage-detection methodologies will add significant value to Iowa’s current and future bridge maintenance, planning, and management Volume III: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. This report volume (Volume III) summarizes the energy harvesting techniques and prototype development for a bridge monitoring system that uses wireless sensors. The wireless sensor nodes are used to collect strain measurements at critical locations on a bridge. The bridge monitoring hardware system consists of a base station and multiple self-powered wireless sensor nodes. The base station is responsible for the synchronization of data sampling on all nodes and data aggregation. Each wireless sensor node include a sensing element, a processing and wireless communication module, and an energy harvesting module. The hardware prototype for a wireless bridge monitoring system was developed and tested on the US 30 Bridge over the South Skunk River in Ames, Iowa. The functions and performance of the developed system, including strain data, energy harvesting capacity, and wireless transmission quality, were studied and are covered in this volume.
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We previously showed that exposure of 3D organotypic rat brain cell cultures to 1mM 2-methylcitrate (2-MCA) or 3-hydroxyglutarate (3- OHGA) every 12h over three days (DIV11-DIV14) results in ammonium accumulation and cell death. The aim of this study was to define the time course (every 24h) of the observed effects. Ammonium in culture medium already increased at DIV12 staying stable on the following days under 3-OHGA exposure, while it increased consecutively up to much higher levels under 2-MCA exposure. Lactate increase and glucose decrease were observed from DIV13 and DIV14, respectively. We conclude that ammonium accumulation precedes alterations of energy metabolism. As observed by immunohistochemistry glial cells were the predominant dying cells. Immunoblotting and immunohistochemistry with cell death specific markers (caspase-3, alpha-fodrin, LC3) showed that 2-MCA exposure significantly increased apoptosis on DIV14, but did not alter autophagy or necrosis. In contrast, 3-OHGA exposure substantially increased necrosis already from DIV13, while no change was observed for apoptosis and autophagy. In conclusion, ammonium accumulation, secondary disturbance of energy metabolism and glial cell death are involved in the neuropathogenesis ofmethylmalonic aciduria and glutaric aciduria type I. Interestingly, brain cells are dying by necrosis under 3-OHGA exposure and by apoptosis under 2-MCA exposure.
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The programs included in this Discussion Paper no. 17 are Distance, Unravel, Retrench and Alloc 6B that deal with location-allocation analyses first published in 1973 by the Department of Geography, The University of Iowa.
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This report is a culmination of the Location Referencing System (LRS) team. The team was charged with defining a system that coordinates the collection storage, and access to location referencing information by developing an LRS to be used throughout the Iowa DOT.
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The objective of this work was to develop a low-cost portable damage detection tool to assess and predict damage areas in highway bridges. The proposed tool was based on standard vibration-based damage identification (VBDI) techniques but was extended to a new approach based on operational traffic load. The methodology was tested using numerical simulations, laboratory experiments, and field testing.
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SUMMARYAs a result of evolution, humans are equipped with an intricate but very effective immune system with multiple defense mechanisms primarily providing protection from infections. This system comprises various cell types, including T-lymphocytes, which are able to recognize and directly kill infected cells. T-cells are not only able to recognize cells carrying foreign antigens, such as virus-infected cells, but also autologous cells. In autoimmune diseases, e.g. multiple sclerosis, T- cells attack autologous cells and cause the destruction of healthy tissue. To prevent aberrant immune reactions, but also to prevent damage caused by an overreacting immune response against foreign targets, there are multiple systems in place that attenuate T-cell responses.By contrast, anti-self immune responses may be highly welcome in malignant diseases. It has been demonstrated that activated T-cells are able to recognize and lyse tumor cells, and may even lead to successful cure of cancer patients. Through vaccination, and especially with the help of powerful adjuvants, frequencies of tumor-reactive T-cells can be augmented drastically. However, the efficacy of anti-tumor responses is diminished by the same checks and balances preventing the human body from harm induced by overly activated T-cells in infections.In the context of my thesis, we studied spontaneous and vaccination induced T-cell responses in melanoma patients. The aim of my studies was to identify situations of T-cell suppression, and pinpoint immune suppressive mechanisms triggered by malignant diseases. We applied recently developed techniques such as multiparameter flow cytometry and gene arrays, allowing the characterization of tumor-reactive T-cells directly ex vivo. In our project, we determined functional capabilities, protein expression, and gene expression profiles of small numbers of T- cells from metastatic tissue and blood obtained from healthy donors and melanoma patients. We found evidence that tumor-specific T-cells were functionally efficient effector cells in peripheral blood, but severely exhausted in metastatic tissue. Our molecular screening revealed the upregulation of multiple inhibitory receptors on tumor-specific T-cells, likely implied in T-cell exhaustion. Functional attenuation of tumor-specific T-cells via inhibitory receptors depended on the anatomical location and immune suppressive mechanisms in the tumor microenvironment, which appeared more important than self-tolerance and anergy mechanisms. Our data reveal novel potential targets for cancer therapy, and contribute to the understanding of cancer biology.RÉSUMÉAu cours de l'évolution, les êtres humains se sont vus doter d'un système immunitaire complexe mais très efficace, avec de multiples mécanismes de défense, principalement contre les infections. Ce système comprend différents types de cellules, dont les lymphocytes Τ qui sont capables de reconnaître et de tuer directement des cellules infectées. Les cellules Τ reconnaissent non seulement des cellules infectées par des virus, mais également des cellules autologues. Dans le cas de maladies auto-immunes, comme par exemple la sclérose en plaques, les cellules Τ s'attaquent à des cellules autologues, ce qui engendre la destruction des tissus sains. Il existe plusieurs systèmes de contrôle des réponses Τ afin de minimiser les réactions immunitaires aberrantes et d'empêcher les dégâts causés par une réponse immunitaire trop importante contre une cible étrangère.Dans le cas de maladies malignes en revanche, une réponse auto-immune peut être avantageuse. Il a été démontré que les lymphocytes Τ étaient également capables de reconnaître et de tuer des cellules tumorales, pouvant même mener à la guérison d'un patient cancéreux. La vaccination peut augmenter fortement la fréquence des cellules Τ réagissant contre une tumeur, particulièrement si elle est combinée avec des adjuvants puissants. Cependant, l'efficacité d'une réponse antitumorale est atténuée par ces mêmes mécanismes de contrôle qui protègent le corps humain des dégâts causés par des cellules Τ activées trop fortement pendant une infection.Dans le cadre de ma recherche de thèse, nous avons étudié les réponses Τ spontanées et induites par la vaccination dans des patients atteints du mélanome. Le but était d'identifier des conditions dans lesquelles les réponses des cellules Τ seraient atténuées, voire inhibées, et d'élucider les mécanismes de suppression immunitaire engendrés par le cancer. Par le biais de techniques nouvelles comprenant la cryométrie de flux et l'analyse globale de l'expression génique à partir d'un nombre minimal de cellules, il nous fut possible de caractériser des cellules Τ réactives contre des tumeurs directement ex vivo. Nous avons examiné les profiles d'expression de gènes et de protéines, ainsi que les capacités fonctionnelles des cellules Τ isolées à partir de tissus métastatiques et à partir du sang de patients. Nos résultats indiquent que les cellules Τ spécifiques aux antigènes tumoraux sont fonctionnelles dans le sang, mais qu'elles sont épuisées dans les tissus métastatiques. Nous avons découvert dans les cellules Τ antitumorales une augmentation de l'expression des récepteurs inhibiteurs probablement impliqués dans l'épuisement de ces lymphocytes T. Cette expression particulière de récepteurs inhibiteurs dépendrait donc de leur localisation anatomique et des mécanismes de suppression existant dans l'environnement immédiat de la tumeur. Nos données révèlent ainsi de nouvelles cibles potentielles pour l'immunothérapie du cancer et contribuent à la compréhension biologique du cancer.