Non linear response of planar asymmetric systems

The seismic behaviour of one-storey asymmetric structures has been studied since 1970s by a number of researches studies which identified the coupled nature of the translational-to-torsional response of those class of systems leading to severe displacement magnifications at the perimeter frames and therefore to significant increase of local peak seismic demand to the structural elements with respect to those of equivalent not-eccentric systems (Kan and Chopra 1987). These studies identified the fundamental parameters (such as the fundamental period TL normalized eccentricity e and the torsional-to-lateral frequency ratio Ωϑ) governing the torsional behavior of in-plan asymmetric structures and trends of behavior. It has been clearly recognized that asymmetric structures characterized by Ωϑ >1, referred to as torsionally-stiff systems, behave quite different form structures with Ωϑ <1, referred to as torsionally-flexible systems. Previous research works by some of the authors proposed a simple closed-form estimation of the maximum torsional response of one-storey elastic systems (Trombetti et al. 2005 and Palermo et al. 2010) leading to the so called “Alpha-method” for the evaluation of the displacement magnification factors at the corner sides. The present paper provides an upgrade of the “Alpha Method” removing the assumption of linear elastic response of the system. The main objective is to evaluate how the excursion of the structural elements in the inelastic field (due to the reaching of yield strength) affects the displacement demand of one-storey in-plan asymmetric structures. The system proposed by Chopra and Goel in 2007, which is claimed to be able to capture the main features of the non-linear response of in-plan asymmetric system, is used to perform a large parametric analysis varying all the fundamental parameters of the system, including the inelastic demand by varying the force reduction factor from 2 to 5. Magnification factors for different force reduction factor are proposed and comparisons with the results obtained from linear analysis are provided.

Synthese und Charakterisierung von HPMA-stabilisierten Kolloiden sowie deren Evaluierung in vitro und in vivo

Nanodimensionale Wirkstoff-Trägersysteme sind in der Lage, sowohl die Bioverfügbarkeit als auch das pharmakokinetische Profil von Wirkstoffen drastisch zu verbessern. Hauptgründe dafür sind eine erhöhte Plasma-Halbwertszeit durch die größenbedingte verminderte renale Ausscheidung und eine gesteigerte Anreicherung im Tumorgewebe durch den EPR-Effekt. Diese Arbeit beschreibt die Synthese und Entwicklung neuer kolloidaler Wirkstoff-Trägersysteme, welche biokompatibel, teilweise bioabbaubar und funktionalisierbar sind. Ein Fluoreszenzfarbstoff wurde als hydrophobes Wirkstoffmodell eingekapselt. Wohldefinierte, eng verteilte und funktionalisierbare HPMA-basierte Block- und statistische Copolymere unterschiedlicher Molekulargewichte (10-25 kDa) und hydrophiler/hydrophober Zusammensetzung (10-50 mol%) wurden mittels RAFT- Polymerisation in Kombination mit dem Reaktivesteransatz hergestellt und in Miniemulsionsprozesse eingesetzt, um ihre Stabilisierungseffizienz zu untersuchen. Dabei zeigte sich, dass die kleineren Copolymere (10 kDa) mit einem Einbau von 10 mol% LMA, sowohl im Modellsystem Polystyrol, als auch im bioabbaubaren PDLLA-System, besonders geeignet sind und ergaben monodisperse Kolloide im Größenbereich von 100 bis 300 nm. Die kolloidalen Systeme zeigten keine Wirkung auf die Zellviabilität. In Folge dessen wurde das Aggregationsverhalten in humanem Blutserum mittels DLS untersucht, wobei keine Interaktion mit Blutbestandteilen festgestellt werden konnte. Zellaufnahmestudien wurden an HeLa-Zellen durchgeführt, um das Schicksal der Kolloide in vitro zu untersuchen. Dabei wurden Kernmaterial, Hülle und das hydrophobe Wirkstoffmodell durch unterschiedliche Fluoreszenzmarkierung getrennt betrachtet. Das hydrophobe Wirkstoffmodell wurde allein durch Interaktion der Kolloide mit den Zellen übertragen, was für eine diffusionsbedingte, initiale, aber unspezifische Freisetzung spricht. Eine solche Freisetzungskinetik kann durch Verwendung von Nitroglycerin, als vasodilatierender Wirkstoff mit geringer unspezifischer Wirkung, ausgenutzt werden, um den EPR-Effekt zu unterstützen. Die Aufnahme des Partikels hingegen geschieht zeitverzögert. Das Schicksal der Kolloide (sowohl des Kern- und desrnHüllmaterials) wurde durch doppelte Fluoreszenzmarkierung untersucht. Dabei kam es zu einer intrazellulären Ablösung der stabilisierenden Block-Copolymere zwischen 8 und 24 h. Nach Aufklärung der Aufnahme- und Freisetzungskinetiken wurde nun die Körperverteilung der PS- und PDLLA-Kolloide nach 18F-Markierung mittels PET und ex vivo-Biodistributiosstudien untersucht. Dabei hatte das Kernmaterial einen Einfluss auf die Körperverteilung. PET-Studien in Mäusen zeigten, dass die stabilisierenden Block-Copolymere beider Kolloide ein starkes Signal in der Niere geben, wobei das der PS-Kolloide weiter ausgeprägt war. Darüber hinaus war eine Anreicherung dieser in Lunge, Leber und Milz festzustellen. Die Verdrängung der stabilisierenden Polymere durch die Interaktion mit Blutbestandteilen erklärt dabei das erhöhte Nieren- und Blasensignal der PS- Kolloide. Das Anreicherungsmuster der PDLLA-Kolloide hingegen zeigte neben der Nierenakkumulation eine erhöhte Blutaktivität und somit die gewünschten langzirkulierenden Eigenschaften. Diese Ergebnisse konnten auch mittels ex vivo- Biodistributionsstudien bestätigt werden. Um die Tumoranreicherung weiter zu verbessern wurde die Verwendung von Folat als Erkennungsstruktur am einfachen HPMA-Polymer untersucht. Die Konjugate zeigten eine erhöhte Anreicherung im Vergleich zu den Polymeren ohne Erkennungsstrukturen. Blockadestudien bestätigten die Selektivität der Anreicherung. Diese Daten zeigen das Potential der Folat-Erkennungsstruktur in vivo innerhalb kurzer Zeitfenster, welche nun auf kolloidale Systeme übertragen werden kann.

Sul sentiero meno battuto: Proposta di traduzione di sei albi illustrati che si allontanano dagli stereotipi sui temi di genere, multiculturalismo e disabilita

This thesis focuses on the translation of six picture books that challenge and subvert – each one in its peculiar way – typical stereotypes found in Children’s Literature. I think that stereotyping is an all-important theme in picture books because these books are the ones that will introduce children to literature and young readers have the right to find in it every kind of model. Showing children a variety of characters that reflects the multiple forms of reality will allow them to choose which kind of person to be. In my opinion, this freedom is much needed especially here, in Italy, in this moment of history. This work also studies the stereotypes that have appeared – and are still present, to some extent – in Children’s Literature, the ways in which they are dangerous for young readers, and how they have changed over time. I centered my research on three major themes that have been subject to stereotyping: race, disability and gender. I searched for the right books to translate paying attention not only to the themes they focused on but also to how they dealt with such themes, the tone of each picture book and, obviously, its quality. The selection resulting from my research reflects a diverse world and a celebration of difference. Before actually translating them, I engaged in a deep analysis of their structures, themes and meanings, so that I would be able to enter the ‘world’ of the book and to understand its ‘secrets’ better. This analysis proved to be fundamental during the translation phase and allowed me to make conscious translation choices that I have explored in the part dedicated to the commentary of the translation.

The influence of infill walls on seismic behavior of a historical building in Shanghai

Seismic assessment and seismic strengthening are the key issues need to be figured out during the process of protection and reusing of historical buildings. In this thesis the seismic behaviors of the hinged steel structure, a typical structure of historical buildings, i.e. hinged steel frames in Shanghai, China, were studied based on experimental investigations and theoretic analysis. How the non-structural members worked with the steel frames was analyzed thoroughly. Firstly, two 1/4 scale hinged steel frames were constructed based on the structural system of Bund 18, a historical building in Shanghai: M1 model without infill walls, M2 model with infill walls, and tested under the horizontal cyclic loads to investigate their seismic behavior. The Shaking Table Test and its results indicated that the seismic behavior of the hinged steel frames could be improved significantly with the help of non-structural members, i.e., surrounding elements outside the hinged steel frames and infilled walls. To specify, the columns are covered with bricks, they consist of I shape formed steel sections and steel plates, which are clenched together. The steel beams are connected to the steel column by steel angle, thus the structure should be considered as a hinged frame. And the infilled wall acted as a compression diagonal strut to withstand the horizontal load, therefore, the seismic capacity and stiffness of the hinged steel frames with infilled walls could be estimated by using the equivalent compression diagonal strut model. A SAP model has been constructed with the objective to perform a dynamic nonlinear analysis. The obtained results were compared with the results obtained from Shaking Table Test. The Test Results have validated that the influence of infill walls on seismic behavior can be estimated by using the equivalent diagonal strut model.

Multimodal Registration Procedure for the Initial Spatial Alignment of a Retinal Video Sequence to a Retinal Composite Image

Accurate placement of lesions is crucial for the effectiveness and safety of a retinal laser photocoagulation treatment. Computer assistance provides the capability for improvements to treatment accuracy and execution time. The idea is to use video frames acquired from a scanning digital ophthalmoscope (SDO) to compensate for retinal motion during laser treatment. This paper presents a method for the multimodal registration of the initial frame from an SDO retinal video sequence to a retinal composite image, which may contain a treatment plan. The retinal registration procedure comprises the following steps: 1) detection of vessel centerline points and identification of the optic disc; 2) prealignment of the video frame and the composite image based on optic disc parameters; and 3) iterative matching of the detected vessel centerline points in expanding matching regions. This registration algorithm was designed for the initialization of a real-time registration procedure that registers the subsequent video frames to the composite image. The algorithm demonstrated its capability to register various pairs of SDO video frames and composite images acquired from patients.

Real-Time Multimodal Retinal Image Registration for a Computer Assisted Laser Photocoagulation System

An algorithm for the real-time registration of a retinal video sequence captured with a scanning digital ophthalmoscope (SDO) to a retinal composite image is presented. This method is designed for a computer-assisted retinal laser photocoagulation system to compensate for retinal motion and hence enhance the accuracy, speed, and patient safety of retinal laser treatments. The procedure combines intensity and feature-based registration techniques. For the registration of an individual frame, the translational frame-to-frame motion between preceding and current frame is detected by normalized cross correlation. Next, vessel points on the current video frame are identified and an initial transformation estimate is constructed from the calculated translation vector and the quadratic registration matrix of the previous frame. The vessel points are then iteratively matched to the segmented vessel centerline of the composite image to refine the initial transformation and register the video frame to the composite image. Criteria for image quality and algorithm convergence are introduced, which assess the exclusion of single frames from the registration process and enable a loss of tracking signal if necessary. The algorithm was successfully applied to ten different video sequences recorded from patients. It revealed an average accuracy of 2.47 ± 2.0 pixels (∼23.2 ± 18.8 μm) for 2764 evaluated video frames and demonstrated that it meets the clinical requirements.

Facets of lupus erythematosus: panniculitis responding to thalidomide

Lupus erythematosus profundus or lupus panniculitis is a rare clinical variant of lupus erythematosus, which involves the deep dermis and subcutaneous fat. Diagnosis may be difficult in cases with isolated involvement. Further manifestations of lupus erythematosus may thus be essential for diagnosis, which depends on the clinical picture, histopathology and a positive lesional lupus band test. We report a severe, mutilating case of lupus panniculitis, which responded well to thalidomide.

Robustness of speckle imaging techniques applied to horizontal imaging scenarios

Atmospheric turbulence near the ground severely limits the quality of imagery acquired over long horizontal paths. In defense, surveillance, and border security applications, there is interest in deploying man-portable, embedded systems incorporating image reconstruction methods to compensate turbulence effects. While many image reconstruction methods have been proposed, their suitability for use in man-portable embedded systems is uncertain. To be effective, these systems must operate over significant variations in turbulence conditions while subject to other variations due to operation by novice users. Systems that meet these requirements and are otherwise designed to be immune to the factors that cause variation in performance are considered robust. In addition robustness in design, the portable nature of these systems implies a preference for systems with a minimum level of computational complexity. Speckle imaging methods have recently been proposed as being well suited for use in man-portable horizontal imagers. In this work, the robustness of speckle imaging methods is established by identifying a subset of design parameters that provide immunity to the expected variations in operating conditions while minimizing the computation time necessary for image recovery. Design parameters are selected by parametric evaluation of system performance as factors external to the system are varied. The precise control necessary for such an evaluation is made possible using image sets of turbulence degraded imagery developed using a novel technique for simulating anisoplanatic image formation over long horizontal paths. System performance is statistically evaluated over multiple reconstruction using the Mean Squared Error (MSE) to evaluate reconstruction quality. In addition to more general design parameters, the relative performance the bispectrum and the Knox-Thompson phase recovery methods is also compared. As an outcome of this work it can be concluded that speckle-imaging techniques are robust to the variation in turbulence conditions and user controlled parameters expected when operating during the day over long horizontal paths. Speckle imaging systems that incorporate 15 or more image frames and 4 estimates of the object phase per reconstruction provide up to 45% reduction in MSE and 68% reduction in the deviation. In addition, Knox-Thompson phase recover method is shown to produce images in half the time required by the bispectrum. The quality of images reconstructed using Knox-Thompson and bispectrum methods are also found to be nearly identical. Finally, it is shown that certain blind image quality metrics can be used in place of the MSE to evaluate quality in field scenarios. Using blind metrics rather depending on user estimates allows for reconstruction quality that differs from the minimum MSE by as little as 1%, significantly reducing the deviation in performance due to user action.

Application of MFBD Algorithms to Image Reconstruction Under Anisoplanatic Conditions

All optical systems that operate in or through the atmosphere suffer from turbulence induced image blur. Both military and civilian surveillance, gun-sighting, and target identification systems are interested in terrestrial imaging over very long horizontal paths, but atmospheric turbulence can blur the resulting images beyond usefulness. My dissertation explores the performance of a multi-frame-blind-deconvolution technique applied under anisoplanatic conditions for both Gaussian and Poisson noise model assumptions. The technique is evaluated for use in reconstructing images of scenes corrupted by turbulence in long horizontal-path imaging scenarios and compared to other speckle imaging techniques. Performance is evaluated via the reconstruction of a common object from three sets of simulated turbulence degraded imagery representing low, moderate and severe turbulence conditions. Each set consisted of 1000 simulated, turbulence degraded images. The MSE performance of the estimator is evaluated as a function of the number of images, and the number of Zernike polynomial terms used to characterize the point spread function. I will compare the mean-square-error (MSE) performance of speckle imaging methods and a maximum-likelihood, multi-frame blind deconvolution (MFBD) method applied to long-path horizontal imaging scenarios. Both methods are used to reconstruct a scene from simulated imagery featuring anisoplanatic turbulence induced aberrations. This comparison is performed over three sets of 1000 simulated images each for low, moderate and severe turbulence-induced image degradation. The comparison shows that speckle-imaging techniques reduce the MSE 46 percent, 42 percent and 47 percent on average for low, moderate, and severe cases, respectively using 15 input frames under daytime conditions and moderate frame rates. Similarly, the MFBD method provides, 40 percent, 29 percent, and 36 percent improvements in MSE on average under the same conditions. The comparison is repeated under low light conditions (less than 100 photons per pixel) where improvements of 39 percent, 29 percent and 27 percent are available using speckle imaging methods and 25 input frames and 38 percent, 34 percent and 33 percent respectively for the MFBD method and 150 input frames. The MFBD estimator is applied to three sets of field data and the results presented. Finally, a combined Bispectrum-MFBD Hybrid estimator is proposed and investigated. This technique consistently provides a lower MSE and smaller variance in the estimate under all three simulated turbulence conditions.

Use of a computerized closed-loop sodium nitroprusside titration system for antihypertensive treatment after open heart surgery

This study evaluates the clinical applicability of administering sodium nitroprusside by a closed-loop titration system compared with a manually adjusted system. The mean arterial pressure (MAP) was registered every 10 and 30 sec during the first 150 min after open heart surgery in 20 patients (group 1: computer regulation) and in ten patients (group 2: manual regulation). The results (16,343 and 2,912 data points in groups 1 and 2, respectively), were then analyzed in four time frames and five pressure ranges to indicate clinical efficacy. Sixty percent of the measured MAP in both groups was within the desired +/- 10% during the first 10 min. Thereafter until the end of observation, the MAP was maintained within +/- 10% of the desired set-point 90% of the time in group 1 vs. 60% of the time in group 2. One percent and 11% of data points were +/- 20% from the set-point in groups 1 and 2, respectively (p less than .05, chi-square test). The computer-assisted therapy provided better control of MAP, was safe to use, and helped to reduce nursing demands.

Multi-Mode Tensor Representation of Motion Data

In this paper, we investigate how a multilinear model can be used to represent human motion data. Based on technical modes (referring to degrees of freedom and number of frames) and natural modes that typically appear in the context of a motion capture session (referring to actor, style, and repetition), the motion data is encoded in form of a high-order tensor. This tensor is then reduced by using N-mode singular value decomposition. Our experiments show that the reduced model approximates the original motion better then previously introduced PCA-based approaches. Furthermore, we discuss how the tensor representation may be used as a valuable tool for the synthesis of new motions.

A real-time video quality estimator for emerging wireless multimedia systems

Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users to share, create, and access live video streaming with different characteristics and content, such as video surveillance and football matches. In this context, there is a need for new mechanisms for assessing the quality level of videos because operators are seeking to control their delivery process and optimize their network resources, while increasing the user’s satisfaction. However, the development of in-service and non-intrusive Quality of Experience assessment schemes for real-time Internet videos with different complexity and motion levels, Group of Picture lengths, and characteristics, remains a significant challenge. To address this issue, this article proposes a non-intrusive parametric real-time video quality estimator, called MultiQoE that correlates wireless networks’ impairments, videos’ characteristics, and users’ perception into a predicted Mean Opinion Score. An instance of MultiQoE was implemented in WMNs and performance evaluation results demonstrate the efficiency and accuracy of MultiQoE in predicting the user’s perception of live video streaming services when compared to subjective, objective, and well-known parametric solutions.

Development of automated image analysis tools for verification of radiotherapy field accuracy with an electronic portal imaging device

The successful management of cancer with radiation relies on the accurate deposition of a prescribed dose to a prescribed anatomical volume within the patient. Treatment set-up errors are inevitable because the alignment of field shaping devices with the patient must be repeated daily up to eighty times during the course of a fractionated radiotherapy treatment. With the invention of electronic portal imaging devices (EPIDs), patient's portal images can be visualized daily in real-time after only a small fraction of the radiation dose has been delivered to each treatment field. However, the accuracy of human visual evaluation of low-contrast portal images has been found to be inadequate. The goal of this research is to develop automated image analysis tools to detect both treatment field shape errors and patient anatomy placement errors with an EPID. A moments method has been developed to align treatment field images to compensate for lack of repositioning precision of the image detector. A figure of merit has also been established to verify the shape and rotation of the treatment fields. Following proper alignment of treatment field boundaries, a cross-correlation method has been developed to detect shifts of the patient's anatomy relative to the treatment field boundary. Phantom studies showed that the moments method aligned the radiation fields to within 0.5mm of translation and 0.5$\sp\circ$ of rotation and that the cross-correlation method aligned anatomical structures inside the radiation field to within 1 mm of translation and 1$\sp\circ$ of rotation. A new procedure of generating and using digitally reconstructed radiographs (DRRs) at megavoltage energies as reference images was also investigated. The procedure allowed a direct comparison between a designed treatment portal and the actual patient setup positions detected by an EPID. Phantom studies confirmed the feasibility of the methodology. Both the moments method and the cross-correlation technique were implemented within an experimental radiotherapy picture archival and communication system (RT-PACS) and were used clinically to evaluate the setup variability of two groups of cancer patients treated with and without an alpha-cradle immobilization aid. The tools developed in this project have proven to be very effective and have played an important role in detecting patient alignment errors and field-shape errors in treatment fields formed by a multileaf collimator (MLC). ^

How Entrepreneurs Become Skilled Cultural Operators

Cultural entrepreneurship and symbolic management perspectives portray entrepreneurs as skilled cultural operators and often assume them to be capable from the outset to purposefully use ‘cultural resources' in order to motivate resource-holding audiences to support their new ventures. We problematize this premise and develop a model of how entrepreneurs become skilful cultural operators and develop the cultural competences necessary for creating and growing their ventures. The model is grounded in a case study of an entrepreneur who set up shop and sought to acquire resources in a culturally unfamiliar setting. Our model proposes that two adaptive sensemaking processes - approval-driven sensemaking and autonomy-driven sensemaking - jointly facilitate the gradual development of cultural competences. These processes jointly enable entrepreneurs to gain cultural awareness and calibrate their symbolic enactments. Specifically, while approval-driven sensemaking facilitates recognizing cultural resources to symbolically couple a venture's identity claims more tightly with the cultural frames of targeted audiences and gain legitimate distinctiveness, autonomy-driven sensemaking enables recognizing cultural constraints and more effective symbolic decoupling to shield the venture from constraining cultural frames and defend the venture's autonomy and resources. We conclude the paper with a discussion of the theoretical implications of our study for cultural entrepreneurship and symbolic management research.

The Treatment Action Campaign's First Decade: Success Achieved?

South Africa is known to have the largest HIV epidemic in the world with 5.7 million people currently living with HIV, according to UNAIDS. In light of the crisis, South Africa's Treatment Action Campaign (TAC) has led the social movement for increased treatment access for people living with HIV through lobbying the government, multinational pharmaceutical companies, and grassroots campaigning. Since it's founding a decade ago, TAC has been highly acclaimed both regionally and internationally for its success. In order to determine the success of this social movement organization, social movement theories, such as mobilization potential, external political opportunity structure, and framing of the social context of issues will be examined. The assessment of TAC's success will be made based on two outcomes: political outcome and social/cultural outcome. The assessment of TAC's success, using this framework has shown that TAC is a successful social movement organization overall.