Made available in DSpace on 2015-05-15T11:46:22Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 1908357 bytes, checksum: 3762912e093a6400855708f530b6cd4d (MD5) Previous issue date: 2013-05-28 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / We study the geometry of surfaces immersed in R4 through the singularities of their families of height functions. Inflection points on the surfaces are shown to be umbilic points from their families of height functions. Furthermore, we see that inflection points of imaginary type are isolated points of the curve --1(0). As a consequence we prove that any dive generic convexly embedded S2 in R4 has inflexion points. / Neste trabalho estudamos a geometria das superfícies em R4 através da variedade canal e das singularidades das famílias de funções altura das superfícies. Provaremos que os pontos de inflexão das superfície são os pontos umbílicos das famílias de funções altura. Além disso, veremos que pontos de inflexão do tipo imaginário serão pontos isolados da curva --1(0). Como uma consequência deste estudo provaremos que qualquer mergulho genérico convexo de S2 em R4 tem pelo menos um ponto de inflexão.

O transplante cardíaco é a última opção terapêutica para pacientes portadores de insuficiência cardíaca grave. Apesar dos avanços na terapia imunossupressora, a rejeição continua sendo o principal obstáculo para o sucesso do transplante. No presente estudo, propõe-se avaliar o perfil de expressão gênica no tecido cardíaco. Com isso, espera-se contribuir para o melhor entendimento do processo de rejeição a nível molecular. Foram analisadas as amostras sequenciais (1, 3 e 6 meses, 1 e 2 anos pós-transplante) de biópsias endomiocárdicas em parafina de 63 indivíduos transplantados cardíacos. O diagnóstico de rejeição humoral foi realizado pela detecção de C3d e C4d do complemento na reação de imuno-histoquímica, e as expressões dos genes protetores (ADIPOR1, ADIPOR2, HMOXO-1, BCL2L1 e VEGF) e genes associados à inflamação (IL-6, TNF?, IFN?, TGF-?, AIF-1, NOS2, ICAM, VCAM e MCP-1); foram avaliadas pela reação em cadeia da polimerase quantitativa em tempo real (qPCR). As frequências de indivíduos positivos para C4d (28,6%) e vasculite (20,0%) foram significantemente maiores em relação ao teste de reatividade de anticorpos realizado nos receptores antes do transplante (6,3%). Houve mudança no perfil de expressão gênica no tecido cardíaco após o transplante, com aumento da expressão dos genes inflamatórios (AIF-1, TNF?, IL-6, NOS2 e VCAM) e diminuição da expressão dos genes protetores (ADIPOR1, ADIPOR2, BCL2L1 e VEGF). Além disso, as expressões dos genes ADIPOR1 e ADIPOR2 foram significantemente menores nos indivíduos positivos para C4d (p<0,001) e gene VEGF (p<0,001) no grupo com vasculite. Houve também uma correlação positiva entre a expressão do gene VEGF e ADIPOR1 (r=0,5688) e ADIPOR2 (r=0,5191). Por outro lado, a expressão aumentada do gene VCAM (p<0,001) foi detectada em todos os tipos de rejeição. Conclui-se que, depois do transplante, o sistema imune do receptor passou a reconhecer os antígenos do órgão transplantado. Com isso, ocorreu uma mudança no perfil de expressão gênica no enxerto cardíaco, caracterizada pela expressão aumentada dos genes inflamatórios e diminuição dos genes protetores. A expressão aumentada do gene VCAM associada à baixa expressão dos genes protetores: ADIPOR1, ADIPOR2, BCL2L1 e VEGF resultaram em maior gravidade da rejeição celular, humoral e vasculopatia do aloenxerto cardíaco. / Heart transplantation is the ultimate treatment for patients with severe heart failure. Despite advances in immunosuppressive therapy, rejection still remains the main obstacle to successful transplant. The purpose of this study is to evaluate the gene expression profile in cardiac tissue. With this we hope to contribute to a better understanding of the rejection process at the molecular level. Sequential samples (1, 3, and 6 months, 1 to 2 years post-transplant) endomyocardial biopsies paraffin of 63 heart transplant subjects were analyzed. The diagnosis of humoral rejection was performed by detection of C3d and C4d complement in immunohistochemistry and the expression of protective genes (ADIPOR1, ADIPOR2, HMOXO-1, and VEGF BCL2L1) and genes associated with inflammation (IL-6,TNF?, IFN?, TGF-?, AIF-1, NOS2, ICAM, VCAM and MCP-1); were evaluated by quantitative real-time polymerase chain reaction (qPCR). The frequency of individuals positive for C4d (28.6%) and vasculitis (20.0%) were significantly higher compared to antibodies reactivity test conducted in the recipients before transplantation (6.3%). There was a change in the gene expression profile in cardiac tissue after transplantation, with increased expression of inflammatory genes (AIF-1,TNF?, IL-6, NOS2, and VCAM) and a decreased expression of protective genes (ADIPOR1, ADIPOR2, BCL2L1, and VEGF). Furthermore, the expressions of ADIPOR1 and ADIPOR2 genes were significantly lower in C4d positive individuals (p<0,001), and VEGF (p<0,001) in the group with vasculitis. There was also a positive correlation between VEGF expression and ADIPOR1 (r=0.5688) and DIPOR2 (r=0.5191). Moreover, increased expression of VCAM (p<0,001) was detected in all types of rejection. We conclude that, after transplantation, the recipient\'s immune system began to recognize the antigens of the transplanted organ. Thus, a change in gene expression profile in cardiac graft is characterized by increased inflammatory genes and decreased expression of protective genes. Increased VCAM gene associated with lower expression of protective genes expression: ADIPOR1, ADIPOR2, BCL2L1 and VEGF resulted in increased severity of cellular and humoral rejection and cardiac allograft vasculopathy.

INTRODUÇÃO: A punção aspirativa por agulha fina guiada por ecoendoscopia (PAAF-EE) é método consagrado para o diagnóstico de lesões sólidas de pâncreas. A aplicação de pressão negativa (PN) durante a PAAF-EE tem objetivo de manter o tecido junto à ponta cortante da agulha durante sua passagem através da lesão, resultando no desprendimento e retenção de células. A capilaridade (CP) é outra técnica que utiliza a retirada gradual do estilete durante a PAAF-EE e parece ser igualmente eficaz, além de evitar aspiração indesejada de hemácias e coágulos. OBJETIVO: Analisar o rendimento da ecopunção de lesões sólidas pancreáticas utilizando PN versus (vs) CP e os aspectos citológicos qualitativos e semiquantitativos da celularidade e contaminação por sangue dos grupos estudados. MÉTODO: No estudo, foram randomizados 50 pacientes com lesões sólidas de pâncreas para realização de PAAF-EE. Cada paciente foi submetido a quatro punções, intercalando as duas técnicas. A ordem das punções foi randomizada por computador. O grupo A (PN, CP, PN, CP) e o grupo B (CP, PN, CP, PN). RESULTADOS: As sensibilidade, especificidade e acurácia da PN vs CP foram 95,2% vs 92,3%; 100% vs 100%; 95,7% vs 93%, respectivamente. Quando foi considerada a associação das duas técnicas (PN+CP), os resultados da sensibilidade, especificidade e acurácia foram 95,6%, 100% e 96%. O valor preditivo positivo (VPP) foi alto para todas técnicas (100%) e os valores preditivos negativos (VPN) para PN, CP e associação dos métodos foram de 66,7% vs 57,1% vs 66,7%, respectivamente. Não houve diferença estatística no rendimento diagnóstico entre a PN e CP: 88% vs 80% (p=0,344), entretanto as técnicas somadas (PN+CP) foi superior à CP isolada: 94% vs 80% (p=0,016). A avaliação citológica qualitativa e semi-quantitativa de celularidade e contaminação por sangue no esfregaço e emblocado pelas técnicas de PN e CP não apresentou diferença estatística (p>0,05). CONCLUSÃO: O rendimento diagnóstico da PAAF-EE pela técnica de PN versus CP de massas sólidas de pâncreas não apresenta diferença estatística, entretanto a utilização das técnicas combinadas é superior, particularmente em relação à CP isolada. A celularidade e contaminação por sangue é semelhante independente da técnica utilizada (PN ou CP) ou do tipo de preparação citológica (esfregaço ou emblocado) / BACKGROUND: Endoscopic ultrasound fine needle aspiration (EUS-FNA) is an established diagnostic method for solid pancreatic masses. Application of negative pressure (NP) during EUS-FNA has the purpose of holding tissue against the cutting edge of the needle as it is moved through the lesion leading to cell detachment and drawing them up. Capillary (CP) sampling is another technique that removes the needle stylet gradually and continuously during the EUS-FNA and seems to have comparable results with less blood and clot aspiration. AIM: Analyze diagnostic yield of EUS-FNA of pancreatic solid mass using NP versus CP and evaluate cytological qualitative and semi-quantitative features of cellularity and blood contamination of each group. METHOD: A total of 50 patients were randomized for NP or CP EUSFNA with a standard 22G needle. Each patient had four passes using NP and CP in an alternate fashion. Computer randomization generated two groups. Group A (NP, CP, NP, CP) and group B (CP, NP, CP, NP). RESULTS: Diagnostic yield of NP versus CP had no statistical difference (p=0.344). Both techniques (NP+CP) was superior to CP alone (p=0.016), but not to NP alone (p=0.25). Sensitivity, specificity and accuracy of NP vs CP were 95.2% vs 92.3%; 100% vs 100%; 95.7% vs 93%, respectively. Results for sensitivity, specificity and accuracy of both NP+CP were 95.6%, 100% and 96%. Positive predictive value was high for all techniques (100%) and Negative predictive value for NP, CP and both techniques were 66.7%, 57.1% and 66.7%, respectively. NP and CP smears and cell blocks had no statistical differences in qualitative and semi-quantitative citological evaluation for cellularity and bloodiness (p > 0.05). CONCLUSIONS: NP versus CP in EUS-FNA of solid pancreatic mass yielded similar overall outcomes in terms of diagnostic performance, however the combination of both techniques is superior, particularly compared to CP alone. Cellularity and bloodiness are equivalent no matter which technique (NP or CP) or type of cytological preparation (smear or cell block) is used

La constante amélioration des technologies silicium permet aux transistors bipolaires à hétérojonction (HBT) SiGeC (Silicium-Germanium : Carbone) de concurrencer les composants III-V pour les applications millimétriques et sous-THz (jusqu’à 300GHz). Le cycle de développement de la technologie (caractérisation-modélisation-conception-fabrication) nécessite plusieurs itérations, entraînant des coûts élevés. De plus, les méthodologies de mesure doivent être réévaluées et ajustées pour adresser des fréquences plus élevées. Afin de réduire le nombre d’itérations et de permettre la montée en fréquence de la mesure, un travail de fond sur la première étape, la caractérisation, s’avère indispensable.Pour répondre à cette exigence, une description et une étude des instruments de mesure (VNA) est réalisée dans un premier temps. Un état de l’art des méthodes de calibrage permet de choisir la solution la plus pertinente pour la calibration sur puce valable dans la gamme de fréquences sous-THz. Ensuite, après avoir relevé plusieurs défauts dans la méthode choisie (à savoir la méthode Thru-Reflect-Line : TRL), des solutions sont proposées concernant la modification des calculs des coefficients d’erreur et également en modifiant les standards utilisés durant le calibrage. Finalement, une étude sur les méthodes d’épluchage est réalisée. Une amélioration est proposée par la modification de deux standards évitant le principal problème de l’état de l’art, la surcompensation des composants parasites. / The continuous improvement in Silicon technologies allows SiGeC (Silicon-Germanium-Carbon) heterojunction bipolar transistors (HBT) to compete with III-V components for millimeter wave and sub-THz (below 300GHz) applications. The technology development cycle (characterization, modeling, design and fabrication) needs several iterations resulting in high costs. Furthermore, the measurement methodologies need to be re-assessed and modified to address higher measurement frequencies. In order to reduce the number of iterations and to allow reliable measurement in the sub-THz band, the characterization procedure has been revisited.First, a description and investigation of the measurement instrument (VNA) has been made. After exploring all possible calibration methods, the best candidate for an “on-wafer” calibration for the sub-THz frequency range has been selected. Then, after analyzing the limits of the chosen calibration method (Thru-Reflect-Line: TRL), workarounds are proposed, by modification of the errors coefficients calculation and by changing the standards used during the calibration process. At last, a study concerning the de-embedding methods is carried out. It is shown, that using two new standards helps to reduce the over-compensation of parasitic components.

以往的音樂資訊檢索方法多使用歌詞、曲風、演奏的樂器或一段音頻訊號來當作查詢的媒介，然而，在某些情況下，使用者沒有辦法清楚描述他們想要尋找的歌曲，如：情境式的音樂檢索。本論文提出了一種基於圖像的情境式音樂資訊檢索方法，可以透過輸入圖片來找尋相應的音樂。此方法中我們使用了卷積神經網絡（Convolutional Neural Network）技術來處理圖片，將其轉為低維度的表示法。為了將異質性的多媒體訊息映射到同一個向量空間，資訊網路表示法學習（Network Embedding）技術也被使用，如此一來，可以使用距離計算找回和輸入圖片有關的多媒體訊息。我們相信這樣的方法可以改善異質性資訊間的隔閡（Heterogeneous Gap），也就是指不同種類的多媒體檔案之間無法互相轉換或詮釋。在實驗與評估方面，首先利用從歌詞與歌名得到的關鍵字來搜尋大量圖片當作訓練資料集，接著實作提出的檢索方法，並針對實驗結果做評估。除了對此方法的有效性做測試外，使用者的回饋也顯示此檢索方法和其他方法相比是有效的。同時我們也實作了一個網路原型，使用者可以上傳圖片並得到檢索後的歌曲，實際的使用案例也將在本論文中被展示與介紹。 / Listening to music is indispensable to everyone. Music information retrieval systems help users find their favorite music. A common scenario of music information retrieval systems is to search songs based on user's query. Most existing methods use descriptions (e.g., genre, instrument and lyric) or audio signal of music as the query; then the songs related to the query will be retrieved. The limitation of this scenario is that users might be difficult to describe what they really want to search for. In this paper, we propose a novel method, called ``image2song,'' which allows users to input an image to retrieve the related songs. The proposed method consists of three modules: convolutional neural network (CNN) module, network embedding module, and similarity calculation module. For the processing of the images, in our work the CNN is adopted to learn the representations for images. To map each entity (e.g., image, song, and keyword) into a same embedding space, the heterogeneous representation is learned by network embedding algorithm from the information graph. This method is flexible because it is easy to join other types of multimedia data into the information graph. In similarity calculation module, the Euclidean distance and cosine distance is used as our criterion to compare the similarity. Then we can retrieve the most relevant songs according to the similarity calculation. The experimental results show that the proposed method has a good performance. Furthermore, we also build an online image-based music information retrieval prototype system, which can showcase some examples of our experiments.

La segmentation des données par la langue et le thème des tests psycholinguistiques devient de plus en plus un obstacle important à la généralisation des modèles de prédiction. Cela limite notre capacité à comprendre le cœur du dysfonctionnement linguistique et cognitif, car les modèles sont surajustés pour les détails d'une langue ou d'un sujet particulier. Dans ce travail, nous étudions les approches potentielles pour surmonter ces limitations. Nous discutons des propriétés de divers modèles de plonjement de mots FastText pour l'anglais et le français et proposons un ensemble des caractéristiques, dérivées de ces propriétés. Nous montrons que malgré les différences dans les langues et les algorithmes de plonjement, un ensemble universel de caractéristiques de vecteurs de mots indépendantes de la langage est capable de capturer le dysfonctionnement cognitif. Nous soutenons que dans le contexte de données rares, les caractéristiques de vecteur de mots fabriquées à la main sont une alternative raisonnable pour l'apprentissage des caractéristiques, ce qui nous permet de généraliser sur les limites de la langue et du sujet. / Data segmentation by the language and the topic of psycholinguistic tests increasingly becomes a significant obstacle for generalization of predicting models. It limits our ability to understand the core of linguistic and cognitive dysfunction because the models overfit the details of a particular language or topic. In this work, we study potential approaches to overcome such limitations. We discuss the properties of various FastText word embedding models for English and French and propose a set of features derived from these properties. We show that despite the differences in the languages and the embedding algorithms, a universal language-agnostic set of word-vector features can capture cognitive dysfunction. We argue that in the context of scarce data, the hand-crafted word-vector features is a reasonable alternative for feature learning, which allows us to generalize over the language and topic boundaries.

The internet is the home for massive volumes of valuable data constantly being created, making it difficult for users to find information relevant to them. In recent times, online users have been relying on the recommendations made by websites to narrow down the options. Online reviews have also become an increasingly important factor in the final choice of a customer. Unfortunately, attackers have found ways to manipulate both reviews and recommendations to mislead users. A Recommendation System is a special type of information filtering system adapted by online vendors to provide suggestions to their customers based on their requirements. Collaborative filtering is one of the most widely used recommendation systems; unfortunately, it is prone to shilling/profile injection attacks. Such attacks alter the recommendation process to promote or demote a particular product. On the other hand, many spammers write deceptive reviews to change the credibility of a product/service. This work aims to address these issues by treating the review manipulation and shilling attack scenarios independently. For the shilling attacks, we build an efficient Reinforcement Learning-based shilling attack method. This method reduces the uncertainty associated with the item selection process and finds the most optimal items to enhance attack reach while treating the recommender system as a black box. Such practical online attacks open new avenues for research in building more robust recommender systems. When it comes to review manipulations, we introduce a method to use a deep structure embedding approach that preserves highly nonlinear structural information and the dynamic aspects of user reviews to identify and cluster the spam users. It is worth mentioning that, in the experiment with real datasets, our method captures about 92\% of all spam reviewers using an unsupervised learning approach.<br>

Verifikácia osôb je oblasť, ktorá sa stále modernizuje, zlepšuje a snaží sa vyhovieť požiadavkám, ktoré sa na ňu kladú vo oblastiach využitia ako sú autorizačné systmémy, forenzné analýzy, atď. Vylepšenia sa uskutočňujú vďaka pokrom v hlbokom učení, tvorením nových trénovacích a testovacích dátovych sad a rôznych súťaží vo verifikácií osôb a workshopov. V tejto práci preskúmame modely pre verifikáciu osôb bez extrakcie príznakov. Používanie nespracovaných zvukových stôp ako vstupy modelov zjednodušuje spracovávanie vstpu a teda znižujú sa výpočetné a pamäťové požiadavky a redukuje sa počet hyperparametrov potrebných pre tvorbu príznakov z nahrávok, ktoré ovplivňujú výsledky. Momentálne modely bez extrakcie príznakov nedosahujú výsledky modelov s extrakciou príznakov. Na základných modeloch budeme experimentovať s modernými technikamy a budeme sa snažiť zlepšiť presnosť modelov. Experimenty s modernými technikamy značne zlepšili výsledky základných modelov ale stále sme nedosiahli výsledky vylepšeného modelu s extrakciou príznakov. Zlepšenie je ale dostatočné nato aby sme vytovrili fúziu so s týmto modelom. Záverom diskutujeme dosiahnuté výsledky a navrhujeme zlepšenia na základe týchto výsledkov.

Problémy jako je jemnozrnná kategorizace či výpočty s využitím lidských zdrojů se v posledních letech v komunitě stávají stále populárnějšími, což dosvědčuje i značné množství publikací na tato témata. Zatímco většina těchto prací využívá "klasických'' obrazových příznaků extrahovaných počítačem, tato se zaměřuje především na percepční vlastnosti, které nemohou být snadno zachyceny počítači a vyžadují zapojení lidí do procesu sběru dat. Práce zkoumá možnosti levného a efektivního získávání percepčních podobností od uživatelů rovněž ve vztahu ke škálovatelnosti. Dále vyhodnocuje několik relevantních experimentů a představuje metody zlepšující efektivitu sběru dat. Jsou zde také shrnuty a porovnány metody učení multidimenzionálního indexování a prohledávání tohoto prostoru. Získané výsledky jsou následně užity v komplexním experimentu vyhodnoceném na datasetu obrázků jídel. Procedura začíná získáváním podobností od uživatelů, pokračuje vytvořením multidimenzionálního prostoru jídel a končí prohledáváním tohoto prostoru.

Cílem téhle práce je navrhnutí nových technik pro robustní neviditelné značení digitálních signálů. Nejdříve je prezentován současný stav tohoto odvětví a dostupné softwarové řešení. Poté následuje návrh několika algoritmů pro neviditelné značení, přičemž každý z nich je založen na jiném principu. Dále je připravena sada digitálních testovacích signálů společně s testovacím softwarem pro otestování navržených řešení a jejích porovnání s vybraným dostupným softwarem. Poté následuje srovnání naměřených výsledků, výkonu a jejích diskuze.