In this project, we identified and examined the 50 coldest extreme temperature eventsin North America (CENA) and the 50 warmest extreme temperature events insouthwestern Europe (WEEU) during the winter seasons from 1948 to 2023. For theanalysis, we utilized daily NCEP-NCAR reanalysis data for temperature, sea levelpressure (SLP), and 500hPa geopotential height (Z500). Our main objective was toinvestigate the co-occurrence of CENA-WEEU events. To deepen our understandingof the recurrence of these events and their relationship with large-scale atmosphericpatterns and drivers, we examined the SLP and Z500 for the selected extreme events.The results revealed clear indications of an interconnection between CENA andWEEU. During the CENA, above-normal temperatures were observed over Europe,while negative temperature anomalies affected the eastern USA during the WEEU.This co-occurrence was further supported by the identification of seven CENA-WEEUextremes that occurred almost simultaneously. The findings regarding the large-scaleatmospheric drivers of these extremes align with previous studies. The CENAappears to be driven by an anomalous high ridge over the Gulf of Alaska and anortherly flow over North America, while the WEEU seems to be influenced by astrong, zonal and southerly shifted flow across the North Atlantic, associated with adeep trough over the British Isles and a ridge over the Mediterranean basin. Acommon feature of CENA-WEEU events is the presence of a negative North AtlanticOscillation (NAO)-like atmospheric pattern over the Atlantic Ocean prior to theiroccurrence.Despite the significant similarities between these events, some disparities relatedto the atmospheric flow and the magnitude of temperature anomalies in the twocontinents suggest the need for further investigation to enhance our understanding ofthe co-occurrence of CENA-WEEU events. / I detta projekt identifierades och studerades de 50 kallaste extrematemperaturhändelserna i Nordamerika (CENA) och de 50 varmaste extrematemperaturhändelserna i sydvästra Europa (WEEU) under vintersäsongerna från1948 till 2023. För analysen, användes dagliga NCEP-NCAR återanalys för demeteorologiska variablerna temperatur, tryck (SLP) och 500hPa geopotentialhöjd(Z500). Huvudsyftet med denna studie är att undersöka samförekomsten avCENA-WEEU-händelserna. För att fördjupa vår förståelse för återkommandehändelser och deras förhållande till storskaliga atmosfäriska mönster och drivkrafter,användes SLP och Z500 variablar för de utvalda extrema händelserna.Resultaten visade tydliga tecken på sammankoppling mellan CENA och WEEU.Temperaturer över det normala observerades över Europa under CENA, medannegativa temperaturanomalier påverkade östra USA under WEEU. Samförekomstenstöds ytterligare av identifieringen av sju CENA-WEEU-extremer som inträffadenästan samtidigt. När det gäller de storskaliga atmosfäriska drivfaktorer förextremerna, stämmer resultaten överens med tidigare studier. En starkhögtrycskrygg över Alaskagolfen och ett nordligt flöde över Nordamerika verkar drivaCENA, medan ett ett starkt, zon- och sydligt förskjutet flöde över Nordatlanten,associerat med intensiv cyklonaktivitet över de brittiska öarna och en högtrycksryggöver Medelhavsområdet, verkar vara källan till WEEU. Ett gemensamt drag förCENA-WEEU är förekomsten av ett negativt NAO-liknande atmosfäriskt mönster överAtlanten innan de inträffade.Trots de starka och många likheterna mellan händelserna, tyder vissa skillnaderrelaterade till atmosfärsflödet och extrema temperaturavvikelser på de bådakontinenterna, på behovet av ytterligare undersökningar för att fördjupa vår förståelseav samförekomsten mellan CENA och WEEU.

Bats occupy diverse and unique niches and are regarded as important components in maintaining ecosystem health. They are major consumers of nocturnal insects, serve as pollinators, seed disperser, and provide important economic benefits as consumers of agricultural and forest pest insects. Bats have been proposed as good indicators of the integrity of natural communities because they integrate a number of resource attributes and may show population declines quickly if a resource attribute is missing. Establishing community- and population-level data, and understanding species interactions is especially important in changing landscapes and for species whose populations levels are threatened by outside factors of anthropomorphic disturbance from hibernacular visitation to energy production and fungal pathogens. For these reasons I have set out to establish habitat use patterns, detection probabilities, spatial and temporal occupancy, and investigate species interactions. This thesis is broken down into three distinct chapters each intended to be a stand-alone document. The first establishes the basic ecology from natural history accounts, provides an overview of the various sampling strategies, and gives a comprehensive description of the study area. The seconds sets out to identify the factors influencing detection probabilities and occupancy of six sympatric bats species and provide insight into habitat use patterns. The third examines spatial and temporal activity patterns and investigates species interactions. This study can provide understanding into the secretive and poorly understood patterns of free flying bats across the landscape. It can also deliver useful information to land managers regarding potential changes in landscape practices for the conservation of bat species. / Master of Science

Semantic distance is a measure of how close or distant in meaning two units of language are. A large number of important natural language problems, including machine translation and word sense disambiguation, can be viewed as semantic distance problems. The two dominant approaches to estimating semantic distance are the WordNet-based semantic measures and the corpus-based distributional measures. In this thesis, I compare them, both qualitatively and quantitatively, and identify the limitations of each. This thesis argues that estimating semantic distance is essentially a property of concepts (rather than words) and that two concepts are semantically close if they occur in similar contexts. Instead of identifying the co-occurrence (distributional) profiles of words (distributional hypothesis), I argue that distributional profiles of concepts (DPCs) can be used to infer the semantic properties of concepts and indeed to estimate semantic distance more accurately. I propose a new hybrid approach to calculating semantic distance that combines corpus statistics and a published thesaurus (Macquarie Thesaurus). The algorithm determines estimates of the DPCs using the categories in the thesaurus as very coarse concepts and, notably, without requiring any sense-annotated data. Even though the use of only about 1000 concepts to represent the vocabulary of a language seems drastic, I show that the method achieves results better than the state-of-the-art in a number of natural language tasks. I show how cross-lingual DPCs can be created by combining text in one language with a thesaurus from another. Using these cross-lingual DPCs, we can solve problems in one, possibly resource-poor, language using a knowledge source from another, possibly resource-rich, language. I show that the approach is also useful in tasks that inherently involve two or more languages, such as machine translation and multilingual text summarization. The proposed approach is computationally inexpensive, it can estimate both semantic relatedness and semantic similarity, and it can be applied to all parts of speech. Extensive experiments on ranking word pairs as per semantic distance, real-word spelling correction, solving Reader's Digest word choice problems, determining word sense dominance, word sense disambiguation, and word translation show that the new approach is markedly superior to previous ones.

Ce mémoire de maîtrise présente une nouvelle approche non supervisée pour détecter et segmenter les régions urbaines dans les images hyperspectrales. La méthode proposée n ́ecessite trois étapes. Tout d’abord, afin de réduire le coût calculatoire de notre algorithme, une image couleur du contenu spectral est estimée. A cette fin, une étape de réduction de dimensionalité non-linéaire, basée sur deux critères complémentaires mais contradictoires de bonne visualisation; à savoir la précision et le contraste, est réalisée pour l’affichage couleur de chaque image hyperspectrale. Ensuite, pour discriminer les régions urbaines des régions non urbaines, la seconde étape consiste à extraire quelques caractéristiques discriminantes (et complémentaires) sur cette image hyperspectrale couleur. A cette fin, nous avons extrait une série de paramètres discriminants pour décrire les caractéristiques d’une zone urbaine, principalement composée d’objets manufacturés de formes simples g ́eométriques et régulières. Nous avons utilisé des caractéristiques texturales basées sur les niveaux de gris, la magnitude du gradient ou des paramètres issus de la matrice de co-occurrence combinés avec des caractéristiques structurelles basées sur l’orientation locale du gradient de l’image et la détection locale de segments de droites. Afin de réduire encore la complexité de calcul de notre approche et éviter le problème de la ”malédiction de la dimensionnalité” quand on décide de regrouper des données de dimensions élevées, nous avons décidé de classifier individuellement, dans la dernière étape, chaque caractéristique texturale ou structurelle avec une simple procédure de K-moyennes et ensuite de combiner ces segmentations grossières, obtenues à faible coût, avec un modèle efficace de fusion de cartes de segmentations. Les expérimentations données dans ce rapport montrent que cette stratégie est efficace visuellement et se compare favorablement aux autres méthodes de détection et segmentation de zones urbaines à partir d’images hyperspectrales. / This master’s thesis presents a new approach to urban area detection and segmentation in hyperspectral images. The proposed method relies on a three-step procedure. First, in order to decrease the computational complexity, an informative three-colour composite image, minimizing as much as possible the loss of information of the spectral content, is computed. To this end, a non-linear dimensionality reduction step, based on two complementary but contradictory criteria of good visualization, namely accuracy and contrast, is achieved for the colour display of each hyperspectral image. In order to discriminate between urban and non-urban areas, the second step consists of extracting some complementary and discriminant features on the resulting (three-band) colour hyperspectral image. To attain this goal, we have extracted a set of features relevant to the description of different aspects of urban areas, which are mainly composed of man-made objects with regular or simple geometrical shapes. We have used simple textural features based on grey-levels, gradient magnitude or grey-level co-occurence matrix statistical parameters combined with structural features based on gradient orientation, and straight segment detection. In order to also reduce the computational complexity and to avoid the so-called “curse of dimensionality” when clustering high-dimensional data, we decided, in the final third step, to classify each individual feature (by a simple K-means clustering procedure) and to combine these multiple low-cost and rough image segmentation results with an efficient fusion model of segmentation maps. The experiments reported in this report demonstrate that the proposed segmentation method is efficient in terms of visual evaluation and performs well compared to existing and automatic detection and segmentation methods of urban areas from hyperspectral images.

本研究試圖從心理學出發，探究描述情緒狀態的分類方法為何， 為了進行情緒與語意的連結，我們試圖將影像當作情緒狀態的刺激 來源，針對Flickr網路社群所共建共享的內容進行抽樣與觀察，使 用心理學研究中基礎的情緒字詞與詞性變化，提取12,000張帶有字 詞標籤的照片，進行標籤字詞與情緒分類字詞共現的計算、關聯規則 計算。同時，透過語意差異量表，提出了新的偏向與強度的座標分類 方法。 透過頻率門檻的過濾、詞性加註與詞幹合併字詞的方法，從 65983個不重複的文字標籤中，最後得到272個帶有情緒偏向的事物 概念字詞，以及正負偏向的情緒關聯規則。為了透過影像驗證這些字 詞是否與影像內容帶給人們的情緒狀態有關聯，我們透過三種查詢 管道：Flickr單詞查詢、google image單詞查詢、以及我們透過照片 標籤綜合指標：情緒字詞比例、社群過濾參數來選定最後要比較的 42張照片。透過語意差異量表，測量三組照片在136位使用者的答案 中，是否能吻合先前提出的強度-偏向模型。 實驗結果發現，我們的方法和google image回傳的結果類似， 使用者問卷調查結果支持我們的方法對於正負偏向的判定，且比 google有更佳的強弱分離程度。 / This study attempts to proceed from psychology to explore the emotional state of the classification method described why, in order to be emotional and semantic links, images as we try to stimulate the emotional state of the source, the Internet community for sharing Flickr content sampling and observation, using basic psychological research in terms of mood changes with the parts of speech, with word labels extracted 12,000 photos, label and classification of words and word co-occurrence of emotional computing, computing association rules. At the same time, through the semantic differential scale, tend to put forward a new classification of the coordinates and intensity. Through the frequency threshold filter, filling part of speech combined with the terms of the method stems from the 65,983 non-duplicate text labels, the last 272 to get things with the concept of emotional bias term, and positive and negative emotions tend to association rules. In order to verify these words through images is to bring people's emotional state associated with our pipeline through the three sources: Flickr , google image , and photos through our index labels: the proportion of emotional words, the community filtering parameters to select the final 42 photos to compare. Through the semantic differential scale, measuring three photos in 136 users of answers, whether the agreement made earlier strength - bias model. Experimental results showed that our methods and google image similar to the results returned, the user survey results support our approach to determine the positive and negative bias, and the strength of better than google degree of separation.

Semantic distance is a measure of how close or distant in meaning two units of language are. A large number of important natural language problems, including machine translation and word sense disambiguation, can be viewed as semantic distance problems. The two dominant approaches to estimating semantic distance are the WordNet-based semantic measures and the corpus-based distributional measures. In this thesis, I compare them, both qualitatively and quantitatively, and identify the limitations of each. This thesis argues that estimating semantic distance is essentially a property of concepts (rather than words) and that two concepts are semantically close if they occur in similar contexts. Instead of identifying the co-occurrence (distributional) profiles of words (distributional hypothesis), I argue that distributional profiles of concepts (DPCs) can be used to infer the semantic properties of concepts and indeed to estimate semantic distance more accurately. I propose a new hybrid approach to calculating semantic distance that combines corpus statistics and a published thesaurus (Macquarie Thesaurus). The algorithm determines estimates of the DPCs using the categories in the thesaurus as very coarse concepts and, notably, without requiring any sense-annotated data. Even though the use of only about 1000 concepts to represent the vocabulary of a language seems drastic, I show that the method achieves results better than the state-of-the-art in a number of natural language tasks. I show how cross-lingual DPCs can be created by combining text in one language with a thesaurus from another. Using these cross-lingual DPCs, we can solve problems in one, possibly resource-poor, language using a knowledge source from another, possibly resource-rich, language. I show that the approach is also useful in tasks that inherently involve two or more languages, such as machine translation and multilingual text summarization. The proposed approach is computationally inexpensive, it can estimate both semantic relatedness and semantic similarity, and it can be applied to all parts of speech. Extensive experiments on ranking word pairs as per semantic distance, real-word spelling correction, solving Reader's Digest word choice problems, determining word sense dominance, word sense disambiguation, and word translation show that the new approach is markedly superior to previous ones.

Ce mémoire de maîtrise présente une nouvelle approche non supervisée pour détecter et segmenter les régions urbaines dans les images hyperspectrales. La méthode proposée n ́ecessite trois étapes. Tout d’abord, afin de réduire le coût calculatoire de notre algorithme, une image couleur du contenu spectral est estimée. A cette fin, une étape de réduction de dimensionalité non-linéaire, basée sur deux critères complémentaires mais contradictoires de bonne visualisation; à savoir la précision et le contraste, est réalisée pour l’affichage couleur de chaque image hyperspectrale. Ensuite, pour discriminer les régions urbaines des régions non urbaines, la seconde étape consiste à extraire quelques caractéristiques discriminantes (et complémentaires) sur cette image hyperspectrale couleur. A cette fin, nous avons extrait une série de paramètres discriminants pour décrire les caractéristiques d’une zone urbaine, principalement composée d’objets manufacturés de formes simples g ́eométriques et régulières. Nous avons utilisé des caractéristiques texturales basées sur les niveaux de gris, la magnitude du gradient ou des paramètres issus de la matrice de co-occurrence combinés avec des caractéristiques structurelles basées sur l’orientation locale du gradient de l’image et la détection locale de segments de droites. Afin de réduire encore la complexité de calcul de notre approche et éviter le problème de la ”malédiction de la dimensionnalité” quand on décide de regrouper des données de dimensions élevées, nous avons décidé de classifier individuellement, dans la dernière étape, chaque caractéristique texturale ou structurelle avec une simple procédure de K-moyennes et ensuite de combiner ces segmentations grossières, obtenues à faible coût, avec un modèle efficace de fusion de cartes de segmentations. Les expérimentations données dans ce rapport montrent que cette stratégie est efficace visuellement et se compare favorablement aux autres méthodes de détection et segmentation de zones urbaines à partir d’images hyperspectrales. / This master’s thesis presents a new approach to urban area detection and segmentation in hyperspectral images. The proposed method relies on a three-step procedure. First, in order to decrease the computational complexity, an informative three-colour composite image, minimizing as much as possible the loss of information of the spectral content, is computed. To this end, a non-linear dimensionality reduction step, based on two complementary but contradictory criteria of good visualization, namely accuracy and contrast, is achieved for the colour display of each hyperspectral image. In order to discriminate between urban and non-urban areas, the second step consists of extracting some complementary and discriminant features on the resulting (three-band) colour hyperspectral image. To attain this goal, we have extracted a set of features relevant to the description of different aspects of urban areas, which are mainly composed of man-made objects with regular or simple geometrical shapes. We have used simple textural features based on grey-levels, gradient magnitude or grey-level co-occurence matrix statistical parameters combined with structural features based on gradient orientation, and straight segment detection. In order to also reduce the computational complexity and to avoid the so-called “curse of dimensionality” when clustering high-dimensional data, we decided, in the final third step, to classify each individual feature (by a simple K-means clustering procedure) and to combine these multiple low-cost and rough image segmentation results with an efficient fusion model of segmentation maps. The experiments reported in this report demonstrate that the proposed segmentation method is efficient in terms of visual evaluation and performs well compared to existing and automatic detection and segmentation methods of urban areas from hyperspectral images.

Tesis por compendio / [ES] El trabajo de investigación realizado en esta tesis se ha centrado en la aplicación de técnicas recientes e innovadoras en el estudio de la percepción de productos sin gluten. Primero, se estudió cómo tratar la información que hay en Twitter para conocer las opiniones de los consumidores sobre "sin gluten". Los temas más relevantes fueron 5 productos (pan, tarta, galleta, pizza, cerveza), situaciones de consumo, recomendaciones, lugares y aspectos relacionados con la celiaquía. Para explorar automáticamente la información de Twitter, se estudió utilizar redes de co-ocurrencia, que fueron útiles para interpretar los tweets, representar los aspectos más relevantes (ocurrencia) y ponerlos en contexto y en relación con otros (co-ocurrencia). Se observó que es posible automatizar sin un pre-tratamiento manual, permitiendo analizar de forma efectiva gran cantidad de información disponible online. Después, se estudiaron diferentes panes comerciales sin gluten en cuanto al comportamiento en boca para entender mejor los factores involucrados en la percepción de textura. Los panes (5 sin gluten; 2 normales) se caracterizaron en cuanto a propiedades mecánicas, estructura, fragmentación, saliva incorporada y consistencia y adhesividad del bolo. Las sensaciones de textura variaron a lo largo de la masticación, dependiendo de su estructura inicial, propiedades mecánicas, fragmentación, formación de bolo o actividad oral. Posteriormente, se estudió cómo los cambios en la estructura de panes sin gluten obtenidos por modificaciones en panificación (tiempo de fermentación e hidratación) afectan al procesamiento y actividad oral y las sensaciones de textura, que variaron principalmente según el tiempo de fermentación. Especialmente al principio, las diferencias en las sensaciones de textura se explicaron por las diferencias en la estructura y fragmentación en boca. Por último, se estudió la atención visual (con eye-tracking) y la respuesta de consumidores celíacos a paquetes de pan sin gluten, observando que el tipo de marca y la presencia del logo de certificación sin gluten influían en lo que miran. Todos los panes les dieron confianza, sin afectar la presencia del logo, pero condicionando lo que miran. El tipo de marca afectó la confianza y la expectativa de aceptabilidad, que fueron más altas para marcas específicas de sin gluten. La aceptabilidad también se explicó por otras características de cada pan. Se estudió la atención visual (eye-tracking) y las motivaciones de niños celíacos y sus padres al comprar galletas en comparación con los no celíacos. El patrón de fijación cambió en niños y padres: los niños celíacos se fijaron más en ingredientes, palabras y símbolos sin gluten, y menos en la imagen de las galletas; los padres de niños celíacos se fijaron más en ingredientes y símbolo sin gluten, y menos en la imagen de la galleta, nombre, dibujo e información nutricional. Para todos los niños y padres, lo más importante fue elegir una galleta que les gustara, pero solo los niños celíacos mostraron interés en la marca y por probar un producto nuevo. Otro motivo importante para los padres fue la salud, pero por diferentes atributos (padres de celíacos: certificación sin gluten o lista corta de ingredientes; padres de no celíacos: bajo en azúcar o grasa). El precio o la confianza fueron relevantes solo para los padres de niños celíacos. Esta Tesis ha aportado conocimiento sobre el uso y la practicidad de técnicas recientes en ciencia sensorial y del consumidor. La investigación confirma que se puede conseguir una comprensión plena de la compleja respuesta del consumidor recabando información desde perspectivas muy distintas. Sin embargo, para responder a cuestiones específicas en investigación, cada una de estas técnicas (análisis de las redes sociales, estudio del procesado oral de los alimentos o la técnica eye-tracking) puede contribuir de forma individual a entender mejor la aceptabilidad o la elección de alimentos del consumidor. / [CA] El treball de recerca realitzat en esta tesi s'ha centrat en l'aplicació de tècniques recents i innovadores en l'estudi de la percepció de productes sense glútens. Primer, es va estudiar com tractar la informació que hi ha en Twitter per a conéixer les opinions dels consumidors sobre "sense glútens". Els temes més rellevants van ser 5 productes (pa, pastís, galeta, pizza, cervesa), situacions de consum, recomanacions, llocs i aspectes relacionats amb la celiaquia. Per a explorar automàticament la informació de Twitter, es va estudiar utilitzar xarxes de co-ocurrència, que van ser útils per a interpretar els tuits, representar els aspectes més rellevants (ocurrència) i posar-los en context i en relació amb uns altres (co-ocurrència). Es va observar que és possible automatitzar sense un pre-tractament manual, permetent analitzar de manera efectiva gran quantitat d'informació disponible en línia. Després, es van estudiar diferents pans comercials sense glútens quant al comportament en boca per a entendre millor els factors involucrats en la percepció de textura. Els pans (5 sense glútens; 2 normals) es van caracteritzar quant a propietats mecàniques, estructura, fragmentació, saliva incorporada i consistència i adhesivitat de la bitla. Les sensacions de textura van variar al llarg de la masticació, depenent de la estructura inicial, propietats mecàniques, fragmentació, formació de bitla o activitat oral. Posteriorment, es va estudiar com els canvis en l'estructura de pans sense glútens obtinguts per modificacions en panificació (temps de fermentació i hidratació) afecten el processament i activitat oral i les sensacions de textura, que van variar principalment segons el temps de fermentació. Especialment al principi, les diferències en les sensacions de textura es van explicar per les diferències en l'estructura i fragmentació en boca. Finalment, es va estudiar l'atenció visual (amb eye-tracking) i la resposta de consumidors celíacs a paquets de pa sense gluten, observant que el tipus de marca i la presència del logotip de certificació sense gluten influïen en el que miren. Tots els pans els van donar confiança, sense afectar la presència del logotip, però condicionant el que miren. El tipus de marca va afectar la confiança i l'expectativa d'acceptabilitat, que van ser més altes per a marques específiques de sense glútens. L'acceptabilitat també es va explicar per altres característiques de cada pa. Es va estudiar l'atenció visual (eye-tracking) i les motivacions de xiquets celíacs i els seus pares en comprar galetes en comparació amb no celíacs. El patró de fixació va canviar en xiquets i pares: els xiquets celíacs es van fixar més en ingredients, paraules i símbols sense glútens, i menys en la imatge de les galetes; els pares de xiquets celíacs es van fixar més en ingredients i símbol sense gluten, i menys en la imatge de la galeta, nom, dibuix i informació nutricional. Per a tots els xiquets i pares, el més important va ser triar una galeta que els agradara, però només els xiquets celíacs van mostrar interés en la marca i per provar un producte nou. Un altre motiu important per als pares va ser la salut, però per diferents atributs (pares de celíacs: certificació sense gluten o llista curta d'ingredients; pares de no celíacs: baix en sucre o grassa). El preu o la confiança van ser rellevants solo per als pares de xiquets celíacs. Esta Tesi ha aportat coneixement sobre l'ús i la practicitat de tècniques recents en ciència sensorial i del consumidor. La investigació confirma que es pot aconseguir una comprensió plena de la complexa resposta del consumidor recaptant informació des de perspectives molt diferents. No obstant això, per a respondre a qüestions específiques en investigació, cada una d'estes tècniques (anàlisis de les xarxes socials, estudi del processament oral dels aliments o la tècnica eye-tracking) pot contribuir de manera individual a entendre millor l'acceptabilitat o l'elecció d'aliments del consumidor. / [EN] The research of this thesis is focused on the application of recent and innovative techniques to study the perception of gluten-free products. First, it was studied how to manage the information available on Twitter to get consumers' opinions about "gluten-free". The most relevant topics when talking about gluten-free on Twitter were five products (bread, cake, cookie, pizza, beer), situations of consumption, recommendations, places, and aspects related to coeliac condition. To automatically explore the information from Twitter, the possibility to use co-occurrence networks was studied. Co-occurrence networks were useful for interpreting tweets' content, representing the most relevant aspects mentioned (occurrence) and putting them into context and in relation to others (co-occurrence). It was found that automated without manual pre-treatment of text is possible, as an efficient analysis of big amounts of online data. Secondly, different commercial gluten-free breads were studied in terms of in-mouth behaviour to better understand the factors involved in texture perception. The breads (5 gluten-free; 2 regular) were characterised regarding mechanical properties, structure, fragmentation, saliva incorporated, and bolus consistency and adhesiveness. Texture sensations varied along mastication, depending on their initial structure, mechanical properties, fragmentation pattern, bolus formation or oral activity. Subsequently, it was studied how changes in structure of gluten-free breads achieved by modifications in breadmaking (fermentation time and hydration) affect oral processing, oral activity and texture sensations. Oral behaviour and texture perception varied mostly according to the fermentation time. Especially at the beginning, differences in texture sensations were explained by the differences in structure and how it fragmented in mouth. Lastly, visual attention (with eye-tracking technique) and response of coeliac consumers to gluten-free bread packages were studied, finding that the type of brand and presence of gluten-free certification logo influenced the visual behaviour. All gluten-free breads were perceived as trustworthy, not being affected by the presence of gluten-free certification logo, but conditioning the visual behaviour. The type of brand affected trust and expected acceptability, being both higher for brands specific of gluten-free. Liking was also explained by other individual characteristics of breads. Visual behaviour and motivations of coeliac children and their parents when purchasing biscuits were studied in comparison to non-coeliac ones. Eye-tracking showed that fixation pattern changed for coeliac children and their parents. Coeliac children fixated more on ingredients, gluten-free words and symbols, and less on biscuit image. Parents of coeliac children fixated more on ingredients and the gluten-free symbol, and less on biscuit image, product name, cartoon, and nutritional information. For all children and parents, liking was the most important reason for choosing a biscuit, but only coeliac children showed interest in brand and unknown products. Other important motivation for parents was health, but the attributes were different (parents of coeliac group: having gluten-free certification or a short ingredients list; parents of non-coeliac group: low sugar or fat contents). Price or trust were relevant motivations only for parents of celiac children. On overall, this Thesis provided knowledge about the usage and practicality of recent techniques or approaches in sensory and consumer science. This investigation confirms that a full understanding of complex consumer's response can be achieved by gathering consumer's information from different perspectives. However, for answering specific research questions, these different tools (social media exploration, food oral processing approach or eye-tracking technique) can individually contribute to better understand consumer acceptability or food choice. / Puerta Gil, P. (2022). Novel Techniques in Sensory and Consumer Research Applied to Understand Gluten-Free Products Perception [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/182293 / TESIS / Compendio

The present thesis is based on my experience as one of the contributors to The Large Academic Dictionary German-Czech. It attempts to discuss the role of word formation in German-Czech dictionaries in that it focuses on presentation of word formation in outer texts, macrostructural ordering procedures, treatment of word forming elements, special word formation parts of dictionary entries and possibilities of typography as a means word formation description in a bilingual dictionary. The approach taken is both contemplative and transformative. The thesis rests on the study of existing German-Czech dictionaries published mostly after 1945, partly between 1802 and 1945 as well. Concrete function-based proposals centred on the supposed target users of the LADGC are discussed here. A considerable part of the thesis deals with German derived nouns in Ge-...(-e) seen from a corpus linguistic view.