Arterial hypertension is no more considered as a simple increase in blood pressure because it includes other factors which contribute to increased cardiovascular risk, thus incorporating the concept of syndrome. In clinical practice, even today, the most used measurement of blood pressure (BP) is the casually by the indirect method, but much has been asked about the value of these measuresments. It is believed that a significant number of patients presents a very different value of PA when examined by the doctor in his office and outside it by other means. Thus, other methods for assessment of blood pressure have been used as the ambulatory blood pressure monitoring (ABPM) and home blood pressure monitoring (HBPM). These methods are helping to classify patients in normotensive, hypertensive, white-coat hypertensive) (WCH) and masked hypertensive (MH). The masked hypertension and white coat are phenomena that are between normotension and hypertension and have risk of developing cardiovascular disease in the future. Articles submitted are intended to review and discuss the main studies about this subject, and describe the results obtained after monitoring the nutritional and metabolic profile of individuals with masked hypertension and white coat and comparative analysis with Augmentation Index, so to contribute to a better understanding of nutritional and metabolic profile and detection of subgroups of patients with probability of cardiovascular events. / A hipertensão arterial não é mais considerada um simples aumento da pressão arterial, pois inclui outros fatores que contribuem para o aumento do risco cardiovascular, incorporando assim a conceituação de síndrome. Na prática clínica, ainda hoje, a medida da pressão arterial (PA) mais utilizada é a casual por método indireto, porém muito tem sido questionado sobre o valor de medidas. Acredita-se que uma quantidade significativa de pacientes apresente um valor de PA muito diferente quando examinado pelo médico em seu consultório e fora dele através de outras técnicas. Desta maneira, outros métodos para avaliação da pressão arterial vêm sendo utilizados como a monitorização ambulatorial da pressão arterial (MAPA) e a monitorização residencial da pressão arterial (MRPA). Esses métodos estão ajudando a classificar os pacientes em normotensos, hipertensos, hipertensos do avental branco (HAB) e hipertensos mascarados (HM). A hipertensão mascarada e do avental branco são fenômenos que estão entre a normotensão e a hipertensão e podem aumentar a probabilidade risco de desenvolver doenças ligadas ao sistema cardiovascular no futuro. O presente trabalho tem por objetivo revisar e sistematizar os principais estudos a respeito desse tema, assim como descrever os resultados obtidos após identificar os portadores de hipertensão mascarada e do avental branco, verificar o perfil nutricional e metabólico desses pacientes, realizar ensaios para obtenção do Augmentation Index e fazer comparações entre os vários resultados obtidos de modo a contribuir para uma melhor compreensão do perfil nutricional e metabólico e da detecção de subgrupos de pacientes com probabilidade de eventos cardiovasculares.

Submitted by Jordan (jordanbiblio@gmail.com) on 2016-09-26T13:39:50Z No. of bitstreams: 1 DISS_2015_Ivoneides Maria Batista do Amaral.pdf: 2527620 bytes, checksum: 83c1280d7dd22ffa7f32a7d8a8e797ce (MD5) / Approved for entry into archive by Jordan (jordanbiblio@gmail.com) on 2016-09-26T15:02:53Z (GMT) No. of bitstreams: 1 DISS_2015_Ivoneides Maria Batista do Amaral.pdf: 2527620 bytes, checksum: 83c1280d7dd22ffa7f32a7d8a8e797ce (MD5) / Made available in DSpace on 2016-09-26T15:02:53Z (GMT). No. of bitstreams: 1 DISS_2015_Ivoneides Maria Batista do Amaral.pdf: 2527620 bytes, checksum: 83c1280d7dd22ffa7f32a7d8a8e797ce (MD5) Previous issue date: 2015-11-05 / O conceito de performance cultural, enquanto proposta dramatúrgica foi articulada através da junção dos estudos de Schechner e Turner, da concepção de que todo comportamento restaurado é uma performance, procurando revelar o caráter dinâmico, vivo e transformador próprio da comunidade (DAWSEY, 2013). A performance cultural ocorre em diferentes contextos sociais, em cada performance, criam-se novas configurações, novos espaços e espectadores. Neste trabalho, observamos a Dança dos Mascarados de Poconé composta por 28 homens que se vestem com máscaras e roupas coloridas para a realização do ritual coletivo, desempenhando uma conexão entre os dançantes e a comunidade. Pensando na Dança dos Mascarados como Performance cultural, é possível pensar na dança como uma ação extra cotidiana, uma arte da presença e uma ação coletiva. A dança interrompe as experiências rotineiras e se inscreve numa nova temporalidade. / The concept of the cultural performance, as dramaturgical proposal was articulated through Schechner and Turner’s studies, of conception that all restored behavior is a performance trying to reveal the dynamic character, living and community own transformer (DAWSEY, 2013). The cultural performance occurs in different social contexts, each performance, creates new configurations, new spaces and spectators. In this study, we observed the Dança dos Mascarados of Poconé, composed by 28 men who dress up with masks and colorful clothes, for the realization of collective ritual, playing a connection between the dancers and the community. Thinking in the Dança dos Mascarados as a cultural performance, it is possible to think in the dance as a daily extra action, an art of presence and a collective action. The dance interrupts the routine experiences and is part of a new temporality.

abstract: Globalization is driving a rapid increase in motivation for learning new languages, with online and mobile language learning applications being an extremely popular method of doing so. Many language learning applications focus almost exclusively on aiding students in acquiring vocabulary, one of the most important elements in achieving fluency in a language. A well-balanced language curriculum must include both explicit vocabulary instruction and implicit vocabulary learning through interaction with authentic language materials. However, most language learning applications focus only on explicit instruction, providing little support for implicit learning. Students require support with implicit vocabulary learning because they need enough context to guess and acquire new words. Traditional techniques aim to teach students enough vocabulary to comprehend the text, thus enabling them to acquire new words. Despite the wide variety of support for vocabulary learning offered by learning applications today, few offer guidance on how to select an optimal vocabulary study set. This thesis proposes a novel method of student modeling which uses pre-trained masked language models to model a student's reading comprehension abilities and detect words which are required for comprehension of a text. It explores the efficacy of using pre-trained masked language models to model human reading comprehension and presents a vocabulary study set generation pipeline using this method. This pipeline creates vocabulary study sets for explicit language learning that enable comprehension while still leaving some words to be acquired implicitly. Promising results show that masked language modeling can be used to model human comprehension and that the pipeline produces reasonably sized vocabulary study sets. / Dissertation/Thesis / Masters Thesis Software Engineering 2020

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第20664号 / 医博第4274号 / 新制||医||1024(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 髙橋 良輔, 教授 伊佐 正, 教授 井上 治久 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

<p>Positron Emission Tomography, PET, can be used for dynamic studies in humans. In such studies a selected part of the body, often the whole brain, is imaged repeatedly after administration of a radiolabelled tracer. Such studies are performed to provide sequences of images reflecting the tracer’s kinetic behaviour, which may be related to physiological, biochemical and functional properties of tissues. This information can be obtained by analyzing the distribution and kinetic behaviour of the administered tracers in different regions, tissues and organs. Each image in the sequence thus contains part of the kinetic information about the administered tracer. </p><p>Several factors make analysis of PET images difficult, such as a high noise magnitude and correlation between image elements in conjunction with a high level of non-specific binding to the target and a sometimes small difference in target expression between pathological and healthy regions. It is therefore important to understand how these factors affect the derived quantitative measurements when using different methods such as kinetic modelling and multivariate image analysis.</p><p>In this thesis, a new method to explore the properties of the noise in dynamic PET images was introduced and implemented. The method is based on an analysis of the autocorrelation function of the images. This was followed by proposing and implementing three novel approaches for application of Principal Component Analysis, PCA, on dynamic human PET studies. The common underlying idea of these approaches was that the images need to be normalized before application of PCA to ensure that the PCA is signal driven, not noise driven. Different ways to estimate and correct for the noise variance were investigated. Normalizations were carried out Slice-Wise (SW), for the whole volume at once, and in both image domain and sinogram domain respectively. We also investigated the value of masking out and removing the area outside the brain for the analysis. </p><p>The results were very encouraging. We could demonstrate that for phantoms as well as for real image data, the applied normalizations allow PCA to reveal the signal much more clearly than what can be seen in the original image data sets. Using our normalizations, PCA can thus be used as a multivariate analysis technique that without any modelling assumptions can separate important kinetic information into different component images. Furthermore, these images contained optimized signal to noise ratio (SNR), low levels of noise and thus showed improved quality and contrast. This should allow more accurate visualization and better precision in the discrimination between pathological and healthy regions. Hopefully this can in turn lead to improved clinical diagnosis. </p>

Positron Emission Tomography, PET, can be used for dynamic studies in humans. In such studies a selected part of the body, often the whole brain, is imaged repeatedly after administration of a radiolabelled tracer. Such studies are performed to provide sequences of images reflecting the tracer’s kinetic behaviour, which may be related to physiological, biochemical and functional properties of tissues. This information can be obtained by analyzing the distribution and kinetic behaviour of the administered tracers in different regions, tissues and organs. Each image in the sequence thus contains part of the kinetic information about the administered tracer. Several factors make analysis of PET images difficult, such as a high noise magnitude and correlation between image elements in conjunction with a high level of non-specific binding to the target and a sometimes small difference in target expression between pathological and healthy regions. It is therefore important to understand how these factors affect the derived quantitative measurements when using different methods such as kinetic modelling and multivariate image analysis. In this thesis, a new method to explore the properties of the noise in dynamic PET images was introduced and implemented. The method is based on an analysis of the autocorrelation function of the images. This was followed by proposing and implementing three novel approaches for application of Principal Component Analysis, PCA, on dynamic human PET studies. The common underlying idea of these approaches was that the images need to be normalized before application of PCA to ensure that the PCA is signal driven, not noise driven. Different ways to estimate and correct for the noise variance were investigated. Normalizations were carried out Slice-Wise (SW), for the whole volume at once, and in both image domain and sinogram domain respectively. We also investigated the value of masking out and removing the area outside the brain for the analysis. The results were very encouraging. We could demonstrate that for phantoms as well as for real image data, the applied normalizations allow PCA to reveal the signal much more clearly than what can be seen in the original image data sets. Using our normalizations, PCA can thus be used as a multivariate analysis technique that without any modelling assumptions can separate important kinetic information into different component images. Furthermore, these images contained optimized signal to noise ratio (SNR), low levels of noise and thus showed improved quality and contrast. This should allow more accurate visualization and better precision in the discrimination between pathological and healthy regions. Hopefully this can in turn lead to improved clinical diagnosis.

The work centersaround perfluoroaryl azides (PFAAs), and theirability to undergo certain fast and robusttransformations. The chemistry was furtherappliedfor biomedical applications. The first section focuses on the azide-aldehyde-amine cycloaddition using PFAAs. Experimental and computational investigations uncovered a fast azide-enamine cycloaddition to form triazolines, which spontaneously rearrange into stable amidine products. In addition, this transformation was explored in the formulation of pure nanodrugs. Because this reaction can introduce a phenyl and a perfluoroaryl moiety enabling supramolecular interactions near the antibiotic drug, the resulting ciprofloxacin derivatives formed nano-sized aggregates by precipitation, which displayed aggregation-induced emission for bacterial imaging as well as enhanced size-dependent antibacterial efficacy. In the second section, the high electrophilicity of PFAAs was explored to transform azides to aryl amides. The reactivity of PFAAs in the thioacid/azide reaction was studied. In addition, PFAAs were discovered to react with phenylacetaldehyde to form aryl amidesviaan azide-enol cycloaddition, similar tothe perfluoroaryl azide-aldehyde-amine reaction.This strategyof amide synthesiswas furthermoregeneralized through a combination of base-catalyzed azide-enolate cycloaddition reaction and acid-or heat-promoted rearrangement of triazolines. The last section describes a type of azide fluorogens whose fluorescence can be switched on by alight-initiated intramolecular nitrene insertion intoa C-H bond in the neighboring aromaticring. These fluorogenic structures were efficiently accessed via the direct nucleophilic aromatic substitution of PFAAs. / <p>QC 20150903</p>

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Today the process of sorting second-hand clothes and textiles is mostly manual. In this master’s thesis, methods for automating this process as well as improving the manual sorting process have been investigated. The methods explored include the automatic prediction of price and intended usage for second-hand clothes, as well as different types of image retrieval to aid manual sorting. Two models were examined: CLIP, a multi-modal model, and MAE, a self-supervised model. Quantitatively, the results favored CLIP, which outperformed MAE in both image retrieval and prediction. However, MAE may still be useful for some applications in terms of image retrieval as it returns items that look similar, even if they do not necessarily have the same attributes. In contrast, CLIP is better at accurately retrieving garments with as many matching attributes as possible. For price prediction, the best model was CLIP. When fine-tuned on the dataset used, CLIP achieved an F1-Score of 38.08 using three different price categories in the dataset. For predicting the intended usage (either reusing the garment or exporting it to another country) the best model managed to achieve an F1-Score of 59.04.