975 resultados para Análise Morfométrica 2D e 3D


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A necessidade de aprofundar o conhecimento sobre a morfologia da abelha melífera portuguesa (Apis mellifera iberiensis) originou o presente estudo. A amostragem definiu-se com base no banco de amostras existentes no Laboratório de Patologia Apícola da ESA-IPB, relativas ao ano de 2015. Cada amostra foi constituída por cinco obreiras adultas conservadas pelo frio (-18 °C). Foram analisadas 124 amostras distribuídas por 16 concelhos (aproximadamente oito por concelho) pertencentes aos distritos de Bragança e Vila Real. As medições efetuadas em cada uma das obreiras foram: peso (PA), comprimento (CA) e largura (LA) do corpo; comprimento (CAA) e largura (LAA) da asa anterior; comprimento (CAP) e largura da asa posterior (LAP); comprimento do fêmur (CF), da tíbia (CT), do basitarso (CBT), do tarso (CTA) e da probóscide (CP) e a largura do basitarso (LBT). Para avaliação destas medidas utilizou-se uma balança analítica de precisão (0,01g) e um paquímetro eletrónico digital (0-100mm±0,02mm). As diferentes variáveis estudadas compararam-se por análise de variância (ANOVA), sendo o teste de Tukey-Kramer HSD utilizado para a comparação múltipla de médias. O peso médio das obreiras do concelho de Vila Pouca de Aguiar (0,123±0,018 g) foi mais elevado (p<0,05) do que o das obreiras dos concelhos de Torre de Moncorvo e Ribeira de Pena (0,106±0,023 g em ambos os casos). Também, as obreiras do concelho de Vila Pouca de Aguiar apresentaram um comprimento médio do corpo (13,065±0,890 mm) superior (p<0,05) às obreiras do concelho de Boticas (12,228±0,958 mm) e uma largura média (4,565 ± 0,392 mm) superior às obreiras de Vila Flor (4,089 ±0,288 mm). Porém, o CAP (6,333±0,303 mm) e o CT (3,179±0,183mm) das obreiras de Vila Pouca de Aguiar foi mais baixo (p<0,05) ao observado nos concelhos de Torre de Moncorvo (6,616±0,361 mm) e Vila Flor (3,358±0,146 mm). As variáveis LAA, LAP, CF, CBT e CP não apresentaram diferenças significativas (p>0,05) entre os concelhos estudados.

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3D film’s explicit new space depth arguably provides both an enhanced realistic quality to the image and a wealth of more acute visual and haptic sensations (a ‘montage of attractions’) to the increasingly involved spectator. But David Cronenberg’s related ironic remark that ‘cinema as such is from the outset a «special effect»’ should warn us against the geometrical naiveté of such assumptions, within a Cartesian ocularcentric tradition for long overcome by Merleau-Ponty’s embodiment of perception and Deleuze’s notion of the self-consistency of the artistic sensation and space. Indeed, ‘2D’ traditional cinema already provides the accomplished «fourth wall effect», enclosing the beholder behind his back within a space that no longer belongs to the screen (nor to ‘reality’) as such, and therefore is no longer ‘illusorily’ two-dimensional. This kind of totally absorbing, ‘dream-like’ space, metaphorical for both painting and cinema, is illustrated by the episode ‘Crows’ in Kurosawa’s Dreams. Such a space requires the actual effacement of the empirical status of spectator, screen and film as separate dimensions, and it is precisely the 3D caracteristic unfolding of merely frontal space layers (and film events) out of the screen towards us (and sometimes above the heads of the spectators before us) that reinstalls at the core of the film-viewing phenomenon a regressive struggle with reality and with different degrees of realism, originally overcome by film since the Lumière’s Arrival of a Train at Ciotat seminal demonstration. Through an analysis of crucial aspects in Avatar and the recent Cave of Forgotten Dreams, both dealing with historical and ontological deepening processes of ‘going inside’, we shall try to show how the formal and technically advanced component of those 3D-depth films impairs, on the contrary, their apparent conceptual purpose on the level of contents, and we will assume, drawing on Merleau-Ponty and Deleuze, that this technological mistake is due to a lack of recognition of the nature of perception and sensation in relation to space and human experience.

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La tesi tratta la ricerca di procedure che permettano di rilevare oggetti utilizzando il maggior numero di informazioni geometriche ottenibili da una nuvola di punti densa generata da un rilievo fotogrammetrico o da TLS realizzando un modello 3D importabile in ambiente FEM. Il primo test si è eseguito su una piccola struttura, 1.2x0.5x0.2m, in modo da definire delle procedure di analisi ripetibili; la prima consente di passare dalla nuvola di punti “Cloud” all’oggetto solido “Solid” al modello agli elementi finiti “Fem” e per questo motivo è stata chiamata “metodo CSF”, mentre la seconda, che prevede di realizzare il modello della struttura con un software BIM è stata chiamata semplicemente “metodo BIM”. Una volta dimostrata la fattibilità della procedura la si è validata adottando come oggetto di studio un monumento storico di grandi dimensioni, l’Arco di Augusto di Rimini, confrontando i risultati ottenuti con quelli di altre tesi sulla medesima struttura, in particolare si è fatto riferimento a modelli FEM 2D e a modelli ottenuti da una nuvola di punti con i metodi CAD e con un software scientifico sviluppato al DICAM Cloud2FEM. Sull’arco sono state eseguite due tipi di analisi, una lineare sotto peso proprio e una modale ottenendo risultati compatibili tra i vari metodi sia dal punto di vista degli spostamenti, 0.1-0.2mm, che delle frequenze naturali ma si osserva che le frequenze naturali del modello BIM sono più simili a quelle dei modelli generati da cloud rispetto al modello CAD. Il quarto modo di vibrare invece presenta differenze maggiori. Il confronto con le frequenze naturali del modello FEM ha restituito differenze percentuali maggiori dovute alla natura 2D del modello e all’assenza della muratura limitrofa. Si sono confrontate le tensioni normali dei modelli CSF e BIM con quelle ottenute dal modello FEM ottenendo differenze inferiori a 1.28 kg/cm2 per le tensioni normali verticali e sull’ordine 10-2 kg/cm2 per quelle orizzontali.

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In recent years, it has become evident that the role of mitochondria in the metabolic rewiring is essential for cancer development and progression. The metabolic profile during tumorigenesis has been performed mainly in traditional 2D cell models, including cell lines of various lineages and phenotypes. Although useful in many ways, their relevance can be often debatable, as they lack the interactions between different cells of the tumour microenvironment and/or interaction with the extracellular matrix 1,2. Improved models are now being developed using 3D cell culture technology, contributing with increased physiological relevance 3,4. In this work, we improved a method for the generation of 3D models from healthy and tumour colon tissue, based on organoid technology, and performed their molecular and biochemical characterization and validation. Further, in-plate cryopreservation was applied to these models, and optimal results were obtained in terms of cell viability and functionality of the cryopreserved models. We also cryopreserved colon fibroblasts with the aim to introduce them in a co-culture cryopreserved model with organoids. This technology allows the conversion of cell models into “plug and play” formats. Therefore, cryopreservation in-plate facilitates the accessibility of specialized cell models to cell-based research and application, in cases where otherwise such specialized models would be out of reach. Finally, we briefly explored the field of bioprinting, by testing a new matrix to support the growth of colon tumour organoids, which revealed promising preliminary results. To facilitate the reader, we organized this thesis into chapters, divided by the main points of work which include development, characterization and validation of the model, commercial output, and associated applications. Each chapter has a brief introduction, followed by results and discussion and a final conclusion. The thesis has also a general discussion and conclusion section in the end, which covers the main results obtained during this work.

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In questo lavoro di tesi sono stati preparati elettrocatalizzatori metallici 3D di argento supportato su schiume di rame a cella aperta, impiegandoli nella riduzione selettiva del 5-idrossimetilfurfurale (HMF) a 2,5-bisidrossimetilfurano (BHMF). L’utilizzo di questi supporti consente di incrementare l’area superficiale a disposizione, rispetto ai supporti 2D. La preparazione delle schiume è stata effettuata utilizzando due metodi di deposizione: spostamento galvanico ed elettrodeposizione. Lo scopo del lavoro è valutare l’influenza del metodo di deposizione sull’attività catalitica, per questo motivo le schiume bimetalliche ottenute sono state confrontate a quelle monometalliche di rame e argento. Inoltre è stato studiato l’effetto della concentrazione di HMF sulle prestazioni dei catalizzatori, con l’obiettivo finale di ottenere un sistema attivo a concentrazioni industriali. Le schiume sono state sottoposte a cicli di prove catalitiche a concentrazione di HMF crescente 0,02 M, 0,05 M e 0,10 M e caratterizzate prima e dopo la sequenza di prove con analisi SEM-EDS, XRD, spettroscopia raman. Le soluzioni sono state analizzate mediante ICP, GC-MS, ESI-MS. Con lo spostamento galvanico si ha la crescita di dendriti, formate prevalentemente sui bordi, e agglomerati di particelle nelle zone interne, mentre per elettrodeposizione si ottiene minore formazione di dendriti e particelle mediamente più piccole. La presenza di argento come fase attiva non migliora la conversione rispetto alle schiume monometalliche, ma causa un aumento di selettività ed efficienza faradica. Incrementando la concentrazione di HMF tutti i campioni presentano un aumento di conversione e un decremento di selettività ed efficienza faradica. Il catalizzatore ottenuto per spostamento galvanico, mostra prestazioni migliori a concentrazioni elevate e nelle prove di stabilità non dà segni di disattivazione, al contrario della schiuma preparata per elettrodeposizione che risulta leggermente disattivata.

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Gliomas are one of the most frequent primary malignant brain tumors. Acquisition of stem-like features likely contributes to the malignant nature of high-grade gliomas and may be responsible for the initiation, growth, and recurrence of these tumors. In this regard, although the traditional 2D cell culture system has been widely used in cancer research, it shows limitations in maintaining the stemness properties of cancer and in mimicking the in vivo microenvironment. In order to overcome these limitations, different three-dimensional (3D) culture systems have been developed to mimic better the tumor microenvironment. Cancer cells cultured in 3D structures may represent a more reliable in vitro model due to increased cell-cell and cell-extracellular matrix (ECM) interaction. Several attempts to recreate brain cancer tissue in vitro are described in literature. However, to date, it is still unclear which main characteristics the ideal model should reproduce. The overall goal of this project was the development of a 3D in vitro model able to reproduce the brain ECM microenvironment and to recapitulate pathological condition for the study of tumor stroma interactions, tumor invasion ability, and molecular phenotype of glioma cells. We performed an in silico bioinformatic analysis using GEPIA2 Software to compare the expression level of seven matrix protein in the LGG tumors with healthy tissues. Then, we carried out a FFPE retrospective study in order to evaluate the percentage of expression of selected proteins. Thus, we developed a 3D scaffold composed by Hyaluronic Acid and Collagen IV in a ratio of 50:50. We used two astrocytoma cell lines, HTB-12 and HTB-13. In conclusion, we developed an in vitro 3D model able to reproduce the composition of brain tumor ECM, demonstrating that it is a feasible platform to investigate the interaction between tumor cells and the matrix.

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Sketches are a unique way to communicate: drawing a simple sketch does not require any training, sketches convey information that is hard to describe with words, they are powerful enough to represent almost any concept, and nowadays, it is possible to draw directly from mobile devices. Motivated from the unique characteristics of sketches and fascinated by the human ability to imagine 3D objects from drawings, this thesis focuses on automatically associating geometric information to sketches. The main research directions of the thesis can be summarized as obtaining geometric information from freehand scene sketches to improve 2D sketch-based tasks and investigating Vision-Language models to overcome 3D sketch-based tasks limitations. The first part of the thesis concerns geometric information prediction from scene sketches improving scene sketch to image generation and unlocking new creativity effects. The thesis proceeds showing a study conducted on the Vision-Language models embedding space considering sketches, line renderings and RGB renderings of 3D shape to overcome the use of supervised datasets for 3D sketch-based tasks, that are limited and hard to acquire. Following the obtained observations and results, Vision-Language models are applied to Sketch Based Shape Retrieval without the need of training on supervised datasets. We then analyze the use of Vision-Language models for sketch based 3D reconstruction in an unsupervised manner. In the final chapter we report the results obtained in an additional project carried during the PhD, which has lead to the development of a framework to learn an embedding space of neural networks that can be navigated to get ready-to-use models with desired characteristics.

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Modern society is now facing significant difficulties in attempting to preserve its architectural heritage. Numerous challenges arise consequently when it comes to documentation, preservation and restoration. Fortunately, new perspectives on architectural heritage are emerging owing to the rapid development of digitalization. Therefore, this presents new challenges for architects, restorers and specialists. Additionally, this has changed the way they approach the study of existing heritage, changing from conventional 2D drawings in response to the increasing requirement for 3D representations. Recently, Building Information Modelling for historic buildings (HBIM) has escalated as an emerging trend to interconnect geometrical and informational data. Currently, the latest 3D geomatics techniques based on 3D laser scanners with enhanced photogrammetry along with the continuous improvement in the BIM industry allow for an enhanced 3D digital reconstruction of historical and existing buildings. This research study aimed to develop an integrated workflow for the 3D digital reconstruction of heritage buildings starting from a point cloud. The Pieve of San Michele in Acerboli’s Church in Santarcangelo Di Romagna (6th century) served as the test bed. The point cloud was utilized as an essential referential to model the BIM geometry using Autodesk Revit® 2022. To validate the accuracy of the model, Deviation Analysis Method was employed using CloudCompare software to determine the degree of deviation between the HBIM model and the point cloud. The acquired findings showed a very promising outcome in the average distance between the HBIM model and the point cloud. The conducted approach in this study demonstrated the viability of producing a precise BIM geometry from point clouds.

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Low-density nanostructured foams are often limited in applications due to their low mechanical and thermal stabilities. Here we report an approach of building the structural units of three-dimensional (3D) foams using hybrid two-dimensional (2D) atomic layers made of stacked graphene oxide layers reinforced with conformal hexagonal boron nitride (h-BN) platelets. The ultra-low density (1/400 times density of graphite) 3D porous structures are scalably synthesized using solution processing method. A layered 3D foam structure forms due to presence of h-BN and significant improvements in the mechanical properties are observed for the hybrid foam structures, over a range of temperatures, compared with pristine graphene oxide or reduced graphene oxide foams. It is found that domains of h-BN layers on the graphene oxide framework help to reinforce the 2D structural units, providing the observed improvement in mechanical integrity of the 3D foam structure.

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BACKGROUND: The model for end-stage liver disease (MELD) was developed to predict short-term mortality in patients with cirrhosis. There are few reports studying the correlation between MELD and long-term posttransplantation survival. AIM: To assess the value of pretransplant MELD in the prediction of posttransplant survival. METHODS: The adult patients (age >18 years) who underwent liver transplantation were examined in a retrospective longitudinal cohort of patients, through the prospective data base. We excluded acute liver failure, retransplantation and reduced or split-livers. The liver donors were evaluated according to: age, sex, weight, creatinine, bilirubin, sodium, aspartate aminotransferase, personal antecedents, brain death cause, steatosis, expanded criteria donor number and index donor risk. The recipients' data were: sex, age, weight, chronic hepatic disease, Child-Turcotte-Pugh points, pretransplant and initial MELD score, pretransplant creatinine clearance, sodium, cold and warm ischemia times, hospital length of stay, blood requirements, and alanine aminotransferase (ALT >1,000 UI/L = liver dysfunction). The Kaplan-Meier method with the log-rank test was used for the univariable analyses of posttransplant patient survival. For the multivariable analyses the Cox proportional hazard regression method with the stepwise procedure was used with stratifying sodium and MELD as variables. ROC curve was used to define area under the curve for MELD and Child-Turcotte-Pugh. RESULTS: A total of 232 patients with 10 years follow up were available. The MELD cutoff was 20 and Child-Turcotte-Pugh cutoff was 11.5. For MELD score > 20, the risk factors for death were: red cell requirements, liver dysfunction and donor's sodium. For the patients with hyponatremia the risk factors were: negative delta-MELD score, red cell requirements, liver dysfunction and donor's sodium. The regression univariated analyses came up with the following risk factors for death: score MELD > 25, blood requirements, recipient creatinine clearance pretransplant and age donor >50. After stepwise analyses, only red cell requirement was predictive. Patients with MELD score < 25 had a 68.86%, 50,44% and 41,50% chance for 1, 5 and 10-year survival and > 25 were 39.13%, 29.81% and 22.36% respectively. Patients without hyponatremia were 65.16%, 50.28% and 41,98% and with hyponatremia 44.44%, 34.28% and 28.57% respectively. Patients with IDR > 1.7 showed 53.7%, 27.71% and 13.85% and index donor risk <1.7 was 63.62%, 51.4% and 44.08%, respectively. Age donor > 50 years showed 38.4%, 26.21% and 13.1% and age donor <50 years showed 65.58%, 26.21% and 13.1%. Association with delta-MELD score did not show any significant difference. Expanded criteria donors were associated with primary non-function and severe liver dysfunction. Predictive factors for death were blood requirements, hyponatremia, liver dysfunction and donor's sodium. CONCLUSION: In conclusion MELD over 25, recipient's hyponatremia, blood requirements, donor's sodium were associated with poor survival.

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Errors are always present in experimental measurements so, it is important to identify them and understand how they affect the results of experiments. Statistics suggest that the execution of experiments should follow random order, but unfortunately the complete randomization of experiments is not always viable for practical reasons. One possible simplification is blocked experiments within which the levels of certain factors are maintained fixed while the levels of others are randomized. However this has a cost. Although the experimental part is simplified, the statistical analysis becomes more complex.

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Chromatography combined with several different detection systems is one of the more used and better performing analytical tools. Chromatography with tandem mass spectrometric detection gives highly selective and sensitive analyses and permits obtaining structural information about the analites and about their molar masses. Due to these characteristics, this analytical technique is very efficient when used to detect substances at trace levels in complex matrices. In this paper we review instrumental and technical aspects of chromatography-tandem mass spectrometry and the state of the art of the technique as it is applied to analysis of toxic substances in food.

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A method to quantify lycopene and β-carotene in freeze dried tomato pulp by high performance liquid chromatography (HLPC) was validated according to the criteria of selectivity, sensitivity, precision and accuracy, and uncertainty estimation of measurement was determined with data obtained in the validation. The validated method presented is selective in terms of analysis, and it had a good precision and accuracy. Detection limit for lycopene and β-carotene was 4.2 and 0.23 mg 100 g-1, respectively. The estimation of expanded uncertainty (K = 2) for lycopene was 104 ± 21 mg 100 g-1 and for β-carotene was 6.4 ± 1.5 mg 100 g-1.

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This manuscript aims to show the basic concepts and practical application of Principal Component Analysis (PCA) as a tutorial, using Matlab or Octave computing environment for beginners, undergraduate and graduate students. As a practical example it is shown the exploratory analysis of edible vegetable oils by mid infrared spectroscopy.

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The difficulty in adapting European dairy cows breeds in Brazil affect considerably the milk production sector. Brazilian climatic conditions are not totally favorable and the development of new tecnologies is needed for the animals express their genetic potential, as well as their best feed conversion. An economical analysis of the applied investment in the free-stall climatization equipment in dairy housing, for estimating studies related to profit, possibility of return investment as well as time for this return is necessary. The objective of this research was to evaluate the influence of climatization investment in the milk production process and analyze the economical aspect of this investment. There were used 470 high productive dairy cows with genetic and morphologic homogeneous characteristics, and analyzed in two similar periods. Investment calculations were done using Excell®. The results were satisfactory and the invested capital was proved to return to the producer in a short term, 57 days.