982 resultados para Design procedures
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Among the current trends for children’s clothing is clothing that may contribute to the development and children’s learning through interaction with their clothes. For child interaction / clothes from occurring, this dress is appropriate the knowledge of design, which assist in its construction. Thus, this study seeks to investigate design principles that can be adopted for production of clothing that can assist in the development of children, showing how notions of education can be incorporated into costumes, studying the relationships and interactions between design, fashion and education. The study addresses this garment from the perspective of design, so as to provide insights that could contribute to the creation of the pieces. To that end, we developed a theoretical framework that sought to show the infant universe, communication, clothing and design. According to the methodological procedures for the work, there was a case study in ten private schools in Bauru-sp in order to obtain data on experiences with children about their preferences, attitudes and ways of reasoning child’s world.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The elimination of all external incisions is an important step in reducing the invasiveness of surgical procedures. Natural Orifice Translumenal Endoscopic Surgery (NOTES) is an incision-less surgery and provides explicit benefits such as reducing patient trauma and shortening recovery time. However, technological difficulties impede the widespread utilization of the NOTES method. A novel robotic tool has been developed, which makes NOTES procedures feasible by using multiple interchangeable tool tips. The robotic tool has the capability of entering the body cavity through an orifice or a single incision using a flexible articulated positioning mechanism and once inserted is not constrained by incisions, allowing for visualization and manipulations throughout the cavity. Multiple interchangeable tool tips of the robotic device initially consist of three end effectors: a grasper, scissors, and an atraumatic Babcock clamp. The tool changer is capable of selecting and switching between the three tools depending on the surgical task using a miniature mechanism driven by micro-motors. The robotic tool is remotely controlled through a joystick and computer interface. In this thesis, the following aspects of this robotic tool will be detailed. The first-generation robot is designed as a conceptual model for implementing a novel mechanism of switching, advancing, and controlling the tool tips using two micro-motors. It is believed that this mechanism achieves a reduction in cumbersome instrument exchanges and can reduce overall procedure time and the risk of inadvertent tissue trauma during exchanges with a natural orifice approach. Also, placing actuators directly at the surgical site enables the robot to generate sufficient force to operate effectively. Mounting the multifunctional robot on the distal end of an articulating tube provides freedom from restriction on the robot kinematics and helps solve some of the difficulties otherwise faced during surgery using NOTES or related approaches. The second-generation multifunctional robot is then introduced in which the overall size is reduced and two arms provide 2 additional degrees of freedom, resulting in feasibility of insertion through the esophagus and increased dexterity. Improvements are necessary in future iterations of the multifunctional robot; however, the work presented is a proof of concept for NOTES robots capable of abdominal surgical interventions.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Trypanothione reductase has long been investigated as a promising target for chemotherapeutic intervention in Chagas disease, since it is an enzyme of a unique metabolic pathway that is exclusively present in the pathogen but not in the human host, which has the analog Glutathione reductase. In spite of the present data-set includes a small number of compounds, a combined use of flexible docking, pharmacophore perception, ligand binding site prediction, and Grid-Independent Descriptors GRIND2-based 3D-Quantitative Structure-Activity Relationships (QSAR) procedures allowed us to rationalize the different biological activities of a series of 11 aryl beta-aminocarbonyl derivatives, which are inhibitors of Trypanosoma cruzi trypanothione reductase (TcTR). Three QSAR models were built and validated using different alignments, which are based on docking with the TcTR crystal structure, pharmacophore, and molecular interaction fields. The high statistical significance of the models thus obtained assures the robustness of this second generation of GRIND descriptors here used, which were able to detect the most important residues of such enzyme for binding the aryl beta-aminocarbonyl derivatives, besides to rationalize distances among them. Finally, a revised binding mode has been proposed for our inhibitors and independently supported by the different methodologies here used, allowing further optimization of the lead compounds with such combined structure- and ligand-based approaches in the fight against the Chagas disease.
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Piezoelectric materials can be used to convert oscillatory mechanical energy into electrical energy. Energy harvesting devices are designed to capture the ambient energy surrounding the electronics and convert it into usable electrical energy. The design of energy harvesting devices is not obvious, requiring optimization procedures. This paper investigates the influence of pattern gradation using topology optimization on the design of piezocomposite energy harvesting devices based on bending behavior. The objective function consists of maximizing the electric power generated in a load resistor. A projection scheme is employed to compute the element densities from design variables and control the length scale of the material density. Examples of two-dimensional piezocomposite energy harvesting devices are presented and discussed using the proposed method. The numerical results illustrate that pattern gradation constraints help to increase the electric power generated in a load resistor and guides the problem toward a more stable solution. (C) 2012 Elsevier Ltd. All rights reserved.
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Background: Atrial fibrillation is a serious public health problem posing a considerable burden to not only patients, but the healthcare environment due to high rates of morbidity, mortality, and medical resource utilization. There are limited data on the variation in treatment practice patterns across different countries, healthcare settings and the associated health outcomes. Methods/design: RHYTHM-AF was a prospective observational multinational study of management of recent onset atrial fibrillation patients considered for cardioversion designed to collect data on international treatment patterns and short term outcomes related to cardioversion. We present data collected in 10 countries between May 2010 and June 2011. Enrollment was ongoing in Italy and Brazil at the time of data analysis. Data were collected at the time of atrial fibrillation episode in all countries (Australia, Brazil, France, Germany, Italy, Netherlands, Poland, Spain, Sweden, United Kingdom), and cumulative follow-up data were collected at day 60 (+/- 10) in all but Spain. Information on center characteristics, enrollment data, patient demographics, detail of atrial fibrillation episode, medical history, diagnostic procedures, acute treatment of atrial fibrillation, discharge information and the follow-up data on major events and rehospitalizations up to day 60 were collected. Discussion: A total of 3940 patients were enrolled from 175 acute care centers. 70.5% of the centers were either academic (44%) or teaching (26%) hospitals with an overall median capacity of 510 beds. The sites were mostly specialized with anticoagulation clinics (65.9%), heart failure (75.1%) and hypertension clinics (60.1%) available. The RHYTHM-AF registry will provide insight into regional variability of antiarrhythmic and antithrombotic treatment of atrial fibrillation, the appropriateness of such treatments with respect to outcomes, and their cost-efficacy. Observations will help inform strategies to improve cardiovascular outcomes in patients with atrial fibrillation.
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In deterministic optimization, the uncertainties of the structural system (i.e. dimension, model, material, loads, etc) are not explicitly taken into account. Hence, resulting optimal solutions may lead to reduced reliability levels. The objective of reliability based design optimization (RBDO) is to optimize structures guaranteeing that a minimum level of reliability, chosen a priori by the designer, is maintained. Since reliability analysis using the First Order Reliability Method (FORM) is an optimization procedure itself, RBDO (in its classical version) is a double-loop strategy: the reliability analysis (inner loop) and the structural optimization (outer loop). The coupling of these two loops leads to very high computational costs. To reduce the computational burden of RBDO based on FORM, several authors propose decoupling the structural optimization and the reliability analysis. These procedures may be divided in two groups: (i) serial single loop methods and (ii) unilevel methods. The basic idea of serial single loop methods is to decouple the two loops and solve them sequentially, until some convergence criterion is achieved. On the other hand, uni-level methods employ different strategies to obtain a single loop of optimization to solve the RBDO problem. This paper presents a review of such RBDO strategies. A comparison of the performance (computational cost) of the main strategies is presented for several variants of two benchmark problems from the literature and for a structure modeled using the finite element method.
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The continuous increase of genome sequencing projects produced a huge amount of data in the last 10 years: currently more than 600 prokaryotic and 80 eukaryotic genomes are fully sequenced and publically available. However the sole sequencing process of a genome is able to determine just raw nucleotide sequences. This is only the first step of the genome annotation process that will deal with the issue of assigning biological information to each sequence. The annotation process is done at each different level of the biological information processing mechanism, from DNA to protein, and cannot be accomplished only by in vitro analysis procedures resulting extremely expensive and time consuming when applied at a this large scale level. Thus, in silico methods need to be used to accomplish the task. The aim of this work was the implementation of predictive computational methods to allow a fast, reliable, and automated annotation of genomes and proteins starting from aminoacidic sequences. The first part of the work was focused on the implementation of a new machine learning based method for the prediction of the subcellular localization of soluble eukaryotic proteins. The method is called BaCelLo, and was developed in 2006. The main peculiarity of the method is to be independent from biases present in the training dataset, which causes the over‐prediction of the most represented examples in all the other available predictors developed so far. This important result was achieved by a modification, made by myself, to the standard Support Vector Machine (SVM) algorithm with the creation of the so called Balanced SVM. BaCelLo is able to predict the most important subcellular localizations in eukaryotic cells and three, kingdom‐specific, predictors were implemented. In two extensive comparisons, carried out in 2006 and 2008, BaCelLo reported to outperform all the currently available state‐of‐the‐art methods for this prediction task. BaCelLo was subsequently used to completely annotate 5 eukaryotic genomes, by integrating it in a pipeline of predictors developed at the Bologna Biocomputing group by Dr. Pier Luigi Martelli and Dr. Piero Fariselli. An online database, called eSLDB, was developed by integrating, for each aminoacidic sequence extracted from the genome, the predicted subcellular localization merged with experimental and similarity‐based annotations. In the second part of the work a new, machine learning based, method was implemented for the prediction of GPI‐anchored proteins. Basically the method is able to efficiently predict from the raw aminoacidic sequence both the presence of the GPI‐anchor (by means of an SVM), and the position in the sequence of the post‐translational modification event, the so called ω‐site (by means of an Hidden Markov Model (HMM)). The method is called GPIPE and reported to greatly enhance the prediction performances of GPI‐anchored proteins over all the previously developed methods. GPIPE was able to predict up to 88% of the experimentally annotated GPI‐anchored proteins by maintaining a rate of false positive prediction as low as 0.1%. GPIPE was used to completely annotate 81 eukaryotic genomes, and more than 15000 putative GPI‐anchored proteins were predicted, 561 of which are found in H. sapiens. In average 1% of a proteome is predicted as GPI‐anchored. A statistical analysis was performed onto the composition of the regions surrounding the ω‐site that allowed the definition of specific aminoacidic abundances in the different considered regions. Furthermore the hypothesis that compositional biases are present among the four major eukaryotic kingdoms, proposed in literature, was tested and rejected. All the developed predictors and databases are freely available at: BaCelLo http://gpcr.biocomp.unibo.it/bacello eSLDB http://gpcr.biocomp.unibo.it/esldb GPIPE http://gpcr.biocomp.unibo.it/gpipe
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In the past decade the study of superparamagnetic nanoparticles has been intensively developed for many biomedical applications such as magnetically assisted drug delivery, MRI contrast agents, cells separation and hyperthermia therapy. All of these applications require nanoparticles with high magnetization, equipped also with a suitable surface coating which has to be non-toxic and biocompatible. In this master thesis, the silica coating of commercially available magnetic nanoparticles was investigated. Silica is a versatile material with many intrinsic features, such as hydrophilicity, low toxicity, proper design and derivatization yields particularly stable colloids even in physiological conditions. The coating process was applied to commercial magnetite particles dispersed in an aqueous solution. The formation of silica coated magnetite nanoparticles was performed following two main strategies: the Stöber process, in which the silica coating of the nanoparticle was directly formed by hydrolysis and condensation of suitable precursor in water-alcoholic mixtures; and the reverse microemulsions method in which inverse micelles were used to confine the hydrolysis and condensation reactions that bring to the nanoparticles formation. Between these two methods, the reverse microemulsions one resulted the most versatile and reliable because of the high control level upon monodispersity, silica shell thickness and overall particle size. Moving from low to high concentration, within the microemulsion region a gradual shift from larger particles to smaller one was detected. By increasing the amount of silica precursor the silica shell can also be tuned. Fluorescent dyes have also been incorporated within the silica shell by linking with the silica matrix. The structure of studied nanoparticles was investigated by using transmission electron microscope (TEM) and dynamic light scattering (DLS). These techniques have been used to monitor the syntetic procedures and for the final characterization of silica coated and silica dye doped nanoparticles. Finally, field dependent magnetization measurements showed the magnetic properties of core-shell nanoparticles were preserved. Due to a very well defined structure that combines magnetic and luminescent properties together with the possibility of further functionalization, these multifunctional nanoparticles are potentially useful platforms in biomedical fields such as labeling and imaging.
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This thesis starts showing the main characteristics and application fields of the AlGaN/GaN HEMT technology, focusing on reliability aspects essentially due to the presence of low frequency dispersive phenomena which limit in several ways the microwave performance of this kind of devices. Based on an equivalent voltage approach, a new low frequency device model is presented where the dynamic nonlinearity of the trapping effect is taken into account for the first time allowing considerable improvements in the prediction of very important quantities for the design of power amplifier such as power added efficiency, dissipated power and internal device temperature. An innovative and low-cost measurement setup for the characterization of the device under low-frequency large-amplitude sinusoidal excitation is also presented. This setup allows the identification of the new low frequency model through suitable procedures explained in detail. In this thesis a new non-invasive empirical method for compact electrothermal modeling and thermal resistance extraction is also described. The new contribution of the proposed approach concerns the non linear dependence of the channel temperature on the dissipated power. This is very important for GaN devices since they are capable of operating at relatively high temperatures with high power densities and the dependence of the thermal resistance on the temperature is quite relevant. Finally a novel method for the device thermal simulation is investigated: based on the analytical solution of the tree-dimensional heat equation, a Visual Basic program has been developed to estimate, in real time, the temperature distribution on the hottest surface of planar multilayer structures. The developed solver is particularly useful for peak temperature estimation at the design stage when critical decisions about circuit design and packaging have to be made. It facilitates the layout optimization and reliability improvement, allowing the correct choice of the device geometry and configuration to achieve the best possible thermal performance.
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The main aim of my PhD project was the design and the synthesis of new pyrrolidine organocatalysts. New effective ferrocenyl pyrrolidine catalysts, active in benchmark organocatalytic reactions, has been developed. The ferrocenyl moiety, in combination with simple ethyl chains, is capable of fixing the enamine conformation addressing the approach trajectory of the nucleophile in the reaction. The results obtained represent an interesting proof-of-concept, showing for the first time the remarkable effectiveness of the ferrocenyl moiety in providing enantioselectivity through conformational selection. This approach could be viably employed in the rational design of ligands for metal or organocatalysts. Other hindered secondary amines has been prepared from alkylation of acyclic chiral nitroderivatives with alcohols in a highly diastereoselective fashion, giving access to functionalized, useful organocatalytic chiral pyrrolidines. A family of new pyrrolidines bearing sterogenic centers and functional groups can be readily accessible by this methodology. The second purpose of the project was to study in deep the reactivity of stabilized carbocations in new metal-free and organocatalytic reactions. By taking advantage of the results from the kinetic studies described by Mayr, a simple and effective procedure for the direct formylation of aryltetrafluoroborate salts, has been development. The coupling of a range of aryl- and heteroaryl- trifluoroborate salts with 1,3-benzodithiolylium tetrafluoroborate, has been attempted in moderate to good yields. Finally, a simple and general methodology for the enamine-mediated enantioselective α-alkylation of α-substituted aldehydes with 1,3-benzodithiolylium tetrafluoroborate has been reported. The introduction of the benzodithiole moiety permit the installation of different functional groups due to its chameleonic behaviour.
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Regenerative medicine and tissue engineering attempt to repair or improve the biological functions of tissues that have been damaged or have ceased to perform their role through three main components: a biocompatible scaffold, cellular component and bioactive molecules. Nanotechnology provide a toolbox of innovative scaffold fabrication procedures in regenerative medicine. In fact, nanotechnology, using manufacturing techniques such as conventional and unconventional lithography, allows fabricating supports with different geometries and sizes as well as displaying physical chemical properties tunable over different length scales. Soft lithography techniques allow to functionalize the support by specific molecules that promote adhesion and control the growth of cells. Understanding cell response to scaffold, and viceversa, is a key issue; here we show our investigation of the essential features required for improving the cell-surface interaction over different scale lengths. The main goal of this thesis has been to devise a nanotechnology-based strategy for the fabrication of scaffolds for tissue regeneration. We made four types of scaffolds, which are able to accurately control cell adhesion and proliferation. For each scaffold, we chose properly designed materials, fabrication and characterization techniques.
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Die Förderung der Zelladhäsion durch sogenannte biomimetische Oberflächen wird in der Medizin als vielversprechender Ansatz gesehen, um Komplikationen wie z. B. Fremdkörperreaktionen nach der Implantation entgegenzuwirken. Neben der Immobilisierung einzelner Biomoleküle wie z. B. dem RGD-Peptid, Proteinen und Wachstumsfaktoren auf verschiedenen Materialien, konzentriert man sich derzeit in der Forschung auf die Co-Immobilisierung zweier Moleküle gleichzeitig. Hierbei werden die funktionellen Gruppen z. B. von Kollagen unter Verwendung von nur einer Kopplungschemie verwendet, wodurch die Kopplungseffizienz der einzelnen Komponenten nur begrenzt kontrollierbar ist. Das Ziel der vorliegenden Arbeit war die Entwicklung eines Immobilisierungsverfahrens, welches die unabhängige Kopplung zweier Faktoren kontrolliert ermöglicht. Dabei sollten exemplarisch das adhäsionsfördernde RGD-Peptid (Arginin-Glycin-Asparaginsäure) zusammen mit dem Wachstumsfaktor VEGF (Vascular Endothelial Growth Factor) auf Titan gebunden werden. In weiteren Experimenten sollten dann die pro-adhäsiven Faktoren Fibronektin, Kollagen, Laminin und Osteopontin immobilisiert und untersucht werden. rnDie Aminofunktionalisierung von Titan durch plasma polymerisierte Allylaminschichten wurde als Grundlage für die Entwicklung des nasschemischen Co-immobilisierungsverfahren verwendet. Für eine unabhängige und getrennte Anbindung der verschiedenen Biomoleküle stand in diesem Zusammenhang die Entwicklung eines geeigneten Crosslinker Systems im Vordergrund. Die Oberflächencharakterisierung der entwickelten Oberflächen erfolgte mittels Infrarot Spektroskopie, Surface Plasmon Resonance Spektroskopie (SPR), Kontaktwinkelmessungen, Step Profiling und X-Ray Photoelectron Spektroskopie (XPS). Zur Analyse der Anbindungsprozesse in Echtzeit wurden SPR-Kinetik Messungen durchgeführt. Die biologische Funktionalität der modifizierten Oberflächen wurde in vitro an Endothelzellen (HUVECs) und Osteoblasten (HOBs) und in vivo in einem Tiermodell-System an der Tibia von Kaninchen untersucht.rnDie Ergebnisse zeigen, dass alle genannten Biomoleküle sowohl einzeln auf Titan kovalent gekoppelt als auch am Bespiel von RGD und VEGF in einem getrennten Zwei-Schritt-Verfahren co-immobilisiert werden können. Des Weiteren wurde die biologische Funktionalität der gebundenen Faktoren nachgewiesen. Im Falle der RGD modifizierten Oberflächen wurde nach 7 Tagen eine geförderte Zelladhäsion von HUVECs mit einer signifikant erhöhten Zellbesiedlungsdichte von 28,5 % (p<0,05) gezeigt, wohingegen auf reinem Titan Werte von nur 13 % beobachtet wurden. Sowohl VEGF als auch RGD/VEGF modifizierte Proben wiesen im Vergleich zu Titan schon nach 24 Stunden eine geförderte Zelladhäsion und eine signifikant erhöhte Zellbesiedlungsdichte auf. Bei einer Besiedlung von 7,4 % auf Titan, zeigten VEGF modifizierte Proben mit 32,3 % (p<0,001) eine deutlichere Wirkung auf HUVECs als RGD/VEGF modifizierte Proben mit 13,2 % (p<0,01). Die pro-adhäsiven Faktoren zeigten eine deutliche Stimulation der Zelladhäsion von HUVECs und HOBs im Vergleich zu reinem Titan. Die deutlich höchsten Besiedlungsdichten von HUVECs konnten auf Fibronektin mit 44,6 % (p<0,001) und Kollagen mit 39,9 % (p<0,001) nach 24 Stunden beobachtet werden. Laminin zeigte keine und Osteopontin nur eine sehr geringe Wirkung auf HUVECs. Bei Osteoblasten konnten signifikant erhöhte Besiedlungsdichten im Falle aller pro-adhäsiven Faktoren beobachtet werden, jedoch wurden die höchsten Werte nach 7 Tagen auf Kollagen mit 90,6 % (p<0,001) und Laminin mit 86,5 % (p<0,001) im Vergleich zu Titan mit 32,3 % beobachtet. Die Auswertung der Tierexperimente ergab, dass die VEGF modifizierten Osteosyntheseplatten, im Vergleich zu den reinen Titankontrollen, eine gesteigerte Knochenneubildung auslösten. Eine solche Wirkung konnte für RGD/VEGF modifizierte Implantate nicht beobachtet werden. rnInsgesamt konnte gezeigt werden, dass mittels plasmapolymerisierten Allylamin Schichten die genannten Biomoleküle sowohl einzeln gebunden als auch getrennt und kontrolliert co-immobilisiert werden können. Des Weiteren konnte eine biologische Funktionalität für alle Faktoren nach erfolgter Kopplung in vitro gezeigt werden. Wider Erwarten konnte jedoch kein zusätzlicher biologischer Effekt durch die Co-immobilisierung von RGD und VEGF im Vergleich zu den einzeln immobilisierten Faktoren gezeigt werden. Um zu einer klinischen Anwendung zu gelangen, ist es nun notwendig, das entwickelte Verfahren in Bezug auf die immobilisierten Mengen der verschiedenen Faktoren hin zu optimieren. rn