In recent years, the remarkable development in ubiquitous communication networks and smart portable devices spawned a wide variety of real-time applications that require timely information updates (e.g., autonomous vehicular systems, industrial automation systems, and live streaming services). These real-time applications all have one thing in common: they desire their knowledge of the information source to be as fresh as possible. In order to measure the freshness of information, a new metric, called the Age-of-Information (AoI) is proposed. AoI is defined as the time elapsed since the generation time of the freshest delivered update. This metric is influenced by both the inter-arrival time and the delay of the updates. As a result of these dependencies, the AoI metric exhibits distinct characteristics compared to traditional delay and throughput metrics. In this dissertation, our goal is to optimize AoI under various real-time network applications. Firstly, we investigate a fundamental problem of how exactly various scheduling policies impact AoI performance. Though there is a large body of work studying the AoI performance under different scheduling policies, the use of the update-size information and its combinations with other information (such as arrival-time information and service preemption) to reduce AoI has still not been explored yet. Secondly, as a recently introduced measure of freshness, the relationship between AoI and other performance metrics remains largely ambiguous. We analyze the tradeoffs between AoI and additional performance metrics, including service performance and update cost, within real-world applications. This dissertation is organized into three parts. In the first part, we realize that scheduling policies leveraging the update-size information can substantially reduce the delay, one of the key components of AoI. However, it remains largely unknown how exactly scheduling policies (especially those making use of update-size information) impact the AoI performance. To this end, we conduct a systematic and comparative study to investigate the impact of scheduling policies on the AoI performance in single-server queues and provide useful guidelines for the design of AoI-efficient scheduling policies. In the second part, we analyze the tradeoffs between AoI and other performance metrics in real-world systems. Specifically, we focus on the following two important tradeoffs. (i) The tradeoff between service performance and AoI that arises in the data-driven real-time applications (e.g., Google Maps and stock trading applications). In these applications, the computing resource is often shared for processing both updates from information sources and queries from end users. Hence there is a natural tradeoff between service performance (e.g., response time to queries) and AoI (i.e., the freshness of data in response to user queries). To address this tradeoff, we begin by introducing a simple single-server two-queue model that captures the coupled scheduling between updates and queries. Subsequently, we design threshold-based scheduling policies to prioritize either updates or queries. Finally, we conduct a rigorous analysis of the performance of these threshold-based scheduling policies. (ii) The tradeoff between update cost and AoI that appear in the crowdsensing-based applications (e.g., Google Waze and GasBuddy). On the one hand, users are not satisfied if the responses to their requests are stale; on the other side, there is a cost for the applications to update their information regarding certain points of interest since they typically need to make monetary payments to incentivize users. To capture this tradeoff, we first formulate an optimization problem with the objective of minimizing the sum of the staleness cost (which is a function of the AoI) and the update cost, then we obtain a closed-form optimal threshold-based policy by reformulating the problem as a Markov decision process (MDP). In the third part, we study the minimization of data freshness and transmission costs (e.g., energy cost) under an (arbitrary) time-varying wireless channel without and with machine learning (ML) advice. We consider a discrete-time system where a resource-constrained source transmits time-sensitive data to a destination over a time-varying wireless channel. Each transmission incurs a fixed cost, while not transmitting results in a staleness cost measured by the AoI. The source needs to balance the tradeoff between these transmission and staleness costs. To tackle this challenge, we develop a robust online algorithm aimed at minimizing the sum of transmission and staleness costs, ensuring a worst-case performance guarantee. While online algorithms are robust, they tend to be overly conservative and may perform poorly on average in typical scenarios. In contrast, ML algorithms, which leverage historical data and prediction models, generally perform well on average but lack worst-case performance guarantees. To harness the advantages of both approaches, we design a learning-augmented online algorithm that achieves two key properties: (i) consistency: closely approximating the optimal offline algorithm when the ML prediction is accurate and trusted; (ii) robustness: providing a worst-case performance guarantee even when ML predictions are inaccurate. / Doctor of Philosophy / In recent years, the rapid growth of communication networks and smart devices has spurred the emergence of real-time applications like autonomous vehicles and industrial automation systems. These applications share a common need for timely information. The freshness of information can be measured using a new metric called Age-of-Information (AoI). This dissertation aims to optimize AoI across various real-time network applications, organized into three parts. In the first part, we explore how scheduling policies (particularly those considering update size) impact the AoI performance. Through a systematic and comparative study in single-server queues, we provide useful guidelines for the design of AoI-efficient scheduling policies. The second part explores the tradeoff between update cost and AoI in crowdsensing applications like Google Waze and GasBuddy, where users demand fresh responses to their requests; however, updating information incurs update costs for applications. We aim to minimize the sum of staleness cost (a function of AoI) and update cost. By reformulating the problem as a Markov decision process (MDP), we design a simple threshold-based policy and prove its optimality. In the third part, we study the minimization of data freshness and transmission costs (e.g., energy cost) under a time-varying wireless channel. We first develop a robust online algorithm that achieves a competitive ratio of 3, ensuring a worst-case performance guarantee. Furthermore, when advice is available, e.g., predictions from machine learning (ML) models, we design a learning-augmented online algorithm that exhibits two desired properties: (i) consistency: closely approximating the optimal offline algorithm when the ML prediction is accurate and trusted; (ii) robustness: guaranteeing worst-case performance even with inaccurate ML prediction. While this dissertation marks a significant advancement in AoI research, numerous open problems remain. For instance, our learning-augmented online algorithm treats ML predictions as external inputs. Exploring the co-design and training of ML and online algorithms to improve performance could yield interesting insights. Additionally, while AoI typically assesses update importance based solely on timestamps, the content of updates also holds significance. Incorporating considerations of both age and semantics of information is imperative in future research.

Cette thèse présente MELQART, un système d'exécution de mashups avec disponibilité de données. Un mashup est une application web qui combine des données provenant de fournisseurs hétérogènes (web services). Ces données sont agrégées pour former un résultat homogène affiché dans des composants appelés mashlets. Les travaux dans le domaine des mashups, se sont principalement intéressés au fonctionnement des mashups, aux différents outils de construction et à leur utilisation et interaction avec les utilisateurs. Dans cette thèse, nous nous intéressons à la gestion de données dans les mashups et plus particulièrement à la disponibilité et la fraîcheur de ces données. L'amélioration de la disponibilité tient compte du caractère dynamique des données des mashups. Elle garantit (1) l'accès aux données même si le fournisseur est indisponible, (2) la fraicheur de ces données et (3) un partage de données entre les mashups afin d'augmenter la disponibilité de données. Pour cela nous avons défini un modèle de description de mashups permettant de spécifier les caractéristiques de disponibilité des données. Le principe d'exécution de mashups est défini selon ce modèle en proposant d'améliorer la disponibilité et la fraicheur des données du mashup par des fonctionnalités orthogonales à son processus d'exécution. Le système MELQART implante ce principe et permet de valider notre approche à travers l'exécution de plusieurs instances de mashups dans des conditions aléatoires de rupture de communication avec les fournisseurs de données. / This thesis presents MELQART: a mashup execution system that ensures data availability. A mashup is a Web application that application that combines data from heterogeneous provides (Web services). Data are aggregated for building a homogenous result visualized by components named mashlets. Previous works have mainly focused, on the definition of mashups and associated tools and on their use and interaction with users. In this thesis, we focus on mashups data management, and more specifically on fresh mashups data availability. Improving the data availability take into account the dynamic aspect of mashups data. It ensures (1) the access to the required data even if the provider is unavailable, (2) the freshness of these data and (3) the data sharing between mashups in order to avoid the multiple retrieval of the same data. For this purpose, we have defined a mashup description formal model, which allows the specification of data availability features. The mashups execution schema is defined according to this model with functionalities that improve availability and freshness of mashed-up data. These functionalities are orthogonal to the mashup execution process. The MELQART system implements our contribution and validates it by executing mashups instances with unpredictable situations of broken communications with data providers.

京都大学 / 新制・課程博士 / 博士(農学) / 甲第24245号 / 農博第2524号 / 新制||農||1094(附属図書館) / 学位論文||R4||N5416(農学部図書室) / 京都大学大学院農学研究科地域環境科学専攻 / (主査)教授 近藤 直, 教授 飯田 訓久, 准教授 小川 雄一 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

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Très appréciés des consommateurs du fait de leur qualité nutritionnelle, les produits de la mer jouent un rôle important dans l'alimentation humaine. Toutefois, la confiance du consommateur vis-à-vis de leur qualité est affectée par les riques associés à une exposition aux contaminants chimiques et à la fraîcheur des produits. Si le premier aspect résulte de la pollution des eaux marines sous l'effet d'une forte anthropisation des littoraux, le second est lié à la haute périssabilité de ces produits. Évaluer les niveaux de contamination chimique et la qualité-fraîcheur des produits de la mer est plus qu'un besoin : c'est aujourd'hui une nécéssité. C'est dans ce contexte que les travaux de cette thèse ont été menés. Deux objectifs principaux ont été visés dans la présente étude. Le premier objectif de ce travail était de faire une évaluation spatiale et saisonnière des niveaux de contamination par les polluants métalliques et organiques (HAPs et PCBs) des zones côtières du Sénégal en s'intéressant aux teneurs en contaminants dans les organismes marins. Nous avons étudié 7 espèces marines représentatives des différents maillons de la chaîne trophique (une macroalgue verte, un mollusque bivalve, un crustacé et 4 espèces de poisson) prélevées le long du littoral au niveau de 5 sites présentant des degrés d'anthropisation différents. Les résultats de cette étude montrent que les teneurs en contaminants chimiques des organismes marins sont variables selon les espèces et soulignent ainsi la nécéssité de l'approche multi-espèces pour l'étude de la contamination chimique du milieu. Des variations inter-sites de la teneur en contaminants chimiques dans les organismes ont été mis en évidence. Les sites les plus anthropisés comme Soubédioune et Rusfisque sont ceux qui présentent les teneurs les plus élevées. Les niveaux de contamination métalliques et organiques dans les organismes marins du littoral sénégalais sont inférieurs ou du même ordre de grandeur que ceux mesurés dans d'autres régions d'Afrique de l'Ouest ou dans d'autres régions du monde. L'évaluation des risques associés à l'ingestion des produits de la mer analysés montre que les teneurs en contaminants chimiques sont faibles et inférieures aux limites maximales admissibles pour la consommation humaine (norme EU). Seuls les sites de Rufisque et Soumbédioune présentent quelques dépassements chez certaines espèces (moules, sardinelles). Le deuxième objectif de cette étude était de développer des méthodes permettant d'évaluer la fraîcheur des filets de poisson et de différencier des filets frais des filets décongelés. Les méthodes retenues sont basées sur la mesure de l'augmentation de la perméabilité cellulaire du muscle de poisson. La conservation des filets de poisson à 4°C va conduire à une perméabilisation des cellules dans le temps qui peut être apréhendée par la mesure de la libération d'enzymes intracytoplasmiques ou par l'augmentation de la perméabilité des cellules à des colorants fluorescents. La mesure de l'activité LDH est intéressante à double titre : elle va permettre d'une part de mesure le niveau de lyse cellulaire, donc le niveau d'altération, des filets de poisson dans le temps. Elle va permettre d'autre part grâce à sa sensibilité à la congélation de mieux cerner les conditions qui permettraient à terme de faire la distinction entre les filets frais et des filets congelés/décongelés. / Much appreciated by consumers for its nutritional qualities, seafood plays an important role in human diet. Consumer confidence in the quality of these foodstuffs is nevertheless affected by concerns about risks associated with exposure to chemical contaminants and the freshness of these products. If the first of these is the result of pollution resulting from increasing human activities along coastlines, the second is linked to the highly perishable nature of these products. An evaluation of the levels of chemical contaminants in seafood and of its freshness is therefore a necessity. It is within this context that the work presented in this thesis was carried out. Two principal objectives were targeted in the present study. The first objective of this work was to evaluate the spatial and seasonal variability of seafood contamination by elements (including metals) and organic pollutants (PAHs and PCBs) along the Senegalese coast. We studied 7 marine species representative of different trophic level (a green macro algae, a bivalve mollusc, a crustacean and 4 species of fish) sampling them along the coastline at 5 sites representing different human activity pressur. The result of this study showed that contamination levels varied with species, underlining the importance of a multi-species approach to study contamination in the marine environment. Variations between sites were also observed. Sites with the greatest human activity, such as Soumbédioune and Rufisque, were also those where the highest levels of contaminants in seafood were found. The levels of contamination measured along the Senegalese coast, of both elements and organic pollutants, were inferior or of the same order of magnitude as those reported from other West African sites or from other regions of the globe. The risks associated with eating theseseafood products were low, with contaminant levels generally below the admissible limits (EU) for human consumption. Only a few samples of certain species (mussels, sardines) exceeded these limits at Soumbédioune and Rufisque. The second objective of this study was to develop methods to evaluate the freshness of fish fillets, and to distinguish fresh fillets from previously frozen ones. The methods developed were based upon a measure of cellular permeability within the fish muscle tissue. The conservation of fish fillets ar 4°C results in increased permeability of cells over time, measurable by studying the liberation of intra-cytoplasmic enzymes or the increasing permeability of cells to fluorescent colouring agents. The measurements of lactate dehydrogenase (LDH) is doubly interesting in this contex : on the one hand it enables a measure of cell lysis, and so the level of alteration of the fillets over time, to be established. It also, thanks to its sensitivity to freezing, to better distinguish fresh fillets from those that have been frozen then thawed.

Les travaux de thèse s’inscrivent dans le cadre d’une relation pérenne que le CRAN entretient depuis 10 ans avec le CNES. Il s’agit d’étudier la pertinence du remplacement des réseaux de type bus actuellement embarqués dans les lanceurs européens, par des architectures Ethernet commutées standard sur étagères. Les précédents travaux ont permis de qualifier Ethernet sur 2 items de qualité de service : temps-réel et disponibilité. Nous nous attachons à poursuivre ce travail en validant ces premiers résultats sur une plateforme, reproduction à l’échelle de l’architecture qui sera embarquée dans les lanceurs. Ensuite, nous travaillons sur un item original de qualité de service, exigence typique du spatial, appelé observabilité. L’objectif est de rejouer tout vol, après coup, au sol, sachant que le lanceur n’y revient pas, et que l’architecture est commutée, conférant au réseau une dimension multi-domaines d’observation non synchronisés. La synthèse de toutes les captures impose donc de garantir que l’ordonnancement et la fraîcheur des informations de contrôle du lanceur véhiculées dans les trames soient en cohérence avec le fonctionnement applicatif spécifié, et que ce qui est observé soit conforme à ce qui s’est réellement passé. Enfin, nous proposons un sur-échantillonnage réglé dynamiquement pour profiter de la bande passante disponible sans remettre en cause les exigences temps-réel, de reconfiguration et d’observabilité / This thesis is part of a long-lasting relationship between the CRAN and the CNES since 10 years. This involves studying the pertinence of replacing the buses currently embedded in European’s launchers, by off-the-shelf switched standard Ethernet architecture. Previous works qualified Ethernet regarding two quality of service items: real time and reliability. We continue this work by validating these first results on a platform, true scale architecture reproduction which will be embedded in launchers. Then, we work on an original quality of service item, typical of the spatial requirements, called observability. The objective is to re-play the whole flight, afterwards, on ground, knowing that the launcher will not come back, and the architecture is segmented, conferring to the network the dimension of non synchronized multi-domains of observation. The synthesis of all the captures implies to guarantee that the order and the freshness of launcher control information are consistent with the specified applicative operation, and that what is observed is compliant to what really happened. Finally, we propose an over-sampling which is dynamically regulated in order to benefit from the available bandwidth without disturbing real time, reconfiguration and observability requirements

La fraîcheur est un paramètre clé de la qualité du poisson. Les méthodes actuelles appliquées en routine pour déterminer la fraîcheur du poisson ne sont pas applicables à toutes les espèces et reflètent davantage un début d'altération du produit. Ainsi, la recherche d'indicateurs précoces de fraîcheur du poisson représente encore un défi majeur et d'actualité dans l'industrie de la pêche. Le but de ces travaux de thèse était de démontrer que les fonctions et l'intégrité mitochondriales étaient susceptibles de constituer des indicateurs précoces de la fraîcheur de filets de poisson. En effet, la mitochondrie est la "centrale" énergétique de la cellule eucaryote et joue un rôle clef dans les mécanismes de mort cellulaire tels que l'apoptose et la nécrose. Les fonctions et l'intégrité mitochondriales de cellules musculaires de filets de poisson ont été étudiées à différents temps de conservation post mortem à 4°C. Le modèle d'étude était la daurade royale (Sparus aurata) (lignée cellulaire de fibroblastes (SAF-1) et muscles de poisson). Dans un premier temps, la structure des mitochondries de poisson a été étudiée par microscopie électronique à transmission. De nombreuses dégradations de la structure des mitochondries ont été observées dans les filets à partir de 72 heures (J3) de conservation à 4°C. Ces altérations se sont accentuées à J4 et J6. La fonctionnalité des mitochondries a ensuite été évaluée selon deux approches : la respiration mitochondriale (oxygraphie) et le potentiel membranaire mitochondrial (ΔΨₘ) estimé avec la sonde fluorescente Rhodamine 123. A partir de 96 heures de conservation à 4°C (J4), ces deux paramètres ont été significativement impactés témoignant d'une altération des fonctions et de l'intégrité mitochondriales.Ces résultats sont ainsi en corrélation avec l'altération structurale observée par microscopie. En parallèle, une méthode d'évaluation du potentiel membranaire a été développée avec un fluorimètre à microvolume à partir d'un modèle bactérien puis de mitochondries isolées. Ces travaux de thèse ont démontré que l'étude des fonctionnalités mitochondriales constitue un marqueur fiable et précoce de la fraîcheur des filets de poisson. Des connaissances supplémentaires sur les mécanismes cellulaires post mortem ont également été apportées. Ces résultats constituent ainsi le point de départ pour le développement d'un kit d'évaluation de la fraîcheur et ouvrent la voie pour la recherche de marqueurs de fraîcheur et de congélation/décongélation basés sur les fonctionnalités et intégrité mitochondriales. / Freshness is a key parameter of fish quality. Current routine techniques to determine fish freshness are not applicable to all species and reflect a late stage of alteration. Thus, research on early indicators of fish freshness still represents a major and topical challenge in fishing industry. This PhD research project aimed to demonstrate that mitochondrial functions and integrity constitute early indicators of fish fillet freshness. Mitochondria are the powerhouse of the cell and play a central role in cell death mecanisms such as apoptosis and necrosis. Mitochondrial function and integrity in fish filet muscle cells were studied at different times of storage post mortem at 4°C. The species studied as a model was the gilthead seabream (Sparus aurata) (gilthead seabream fibroblast cell line (SAF-1) and fish fillets). Firstly, the structure of fish mitochondria was studied by transmission electron microscopy. Numerous mitochondrial structural alterations have been observed in fish fillet from 72 hours (D3) of storage at 4°C. These alterations were more pronounced at D4 and D6. Then, mitochondrial functionality was assessed with two approaches: mitochondrial respiration (oxygraphy) and mitochondrial membrane potential (ΔΨₘ) estimated with the fluorescent probe Rh123. From 96 hours of storage at 4°C (D4), these two parameters were significantly disrupted demonstrating the alteration of mitochondrial function and integrity. The results are in correlation with the mitochondrial structural alterations described by microscopy. In parallel, a method of mitochondrial membrane potential evaluation has been developed with a micro-volume fluorimeter, first using bacteria and then isolated mitochondria. This work demonstrated that the mitochondrial functionality study constitutes a reliable and early fish filet freshness indicator. Additional knowledge on cell mechanisms in post mortem condition has been brought. These results constitute the starting point for the development of a fish freshness assay kit and pave the way to research on others freshness and freeze-thawing indicators based on mitochondrial integrity and functionality.

This study aimed to optimize the electrical stunning for silver catfish and to evaluate whether the anesthesia with essential oil (EO) of L. alba before electrical stunning or hypothermia, used in pre-slaughter stunning stage, would reduce stress and influence on stability and sensory characteristics of fish produtcts. The effect of electrical frequencies between 50 and 1000 Hz associated to 128 or 256 V m-1 electric field strength and duration of exposure to the current between 1 and 60 seconds were evaluated. The electrical frequencies of 100, 300 and 500 Hz, combined with electric field strength of 128 V m-1 during 5 seconds were the most appropriate electrical combinations for pre-slaughter stunning of silver catfish as they yielded longer apparent stunning, lower levels of glucose and lactate and smaller changes in flesh characteristics compared to the others. Anesthesia with EO (300 mg L-1) did not reduce the biochemical markers of stress in silver catfish. However, compared to non-anesthetized fish, anesthesia did delay the loss of freshness and deterioration of chilled fish as it delayed the degradation of ADP to AMP and the generation of inosine, and contributed to reduce the sensory demerit scores for overall and gills odor, belly firmness and whole TFRU scheme, especially when associated with the electrical stunning. Furthermore, non-anesthetized fish were unacceptable for consumption on the 23rd day of chilled storage, whereas anesthetized fish become unacceptable only on the 33rd day. The EO also showed antimicrobial activity against Enterobacteriaceae species, however, when used before hypothermia the EO anesthesia did not prevent the post mortem oxidative changes in the frozen fillets, and potentialized lipid oxidation of frozen fillets when associated with electrical stunning. Hypothermia stunning did modify post mortem changes of fish stored in ice, however fillet from fish submitted to hypothermia had greater oxidation of sulfhydryl groups and protein carbonylation with consequent reduction in lightness and increase in yellowness along frozen storage, which may be responsible for the greater total color difference and increased elasticity of fillets over 18 months of frozen storage compared to electrical stunning. In contrast, electrical stunning resulted in faster onset of rigor mortis than hypothermia but did not accelerate the resolution of rigor mortis or the degradation of ATP in whole fish stored in ice. In addition, electrical stunning favored the generation of hydroperoxides in fillets by the end of frozen storage, as well as more intense red color at the beginning of storage. Thus, electrical stunning with 128 V m-1 electric field strength combined with 300 Hz frequency during 5 seconds, can be used in the pre-slaughter stunning of silver catfish as it was less stressful for fish than hypothermia and did not have any negative effect on the post mortem stability of chilled fish or frozen fillets compared to hypothermia. In addition, prior anesthesia with 300 mg L-1 of EO of L. alba may also be used in this step of the fish processing, especially for whole fish stored in ice. / Este trabalho teve como objetivo otimizar o atordoamento elétrico para jundiás e avaliar se a anestesia com óleo essencial (OE) de L. alba antes do atordoamento elétrico ou hipotermia, na etapa de insensibilização pré-abate, reduz o estresse e influência a estabilidade e características sensoriais do pescado. Foram avaliadas frequências elétricas entre 50 e 1000 Hz, força de campo elétrico de 128 ou 256 V m-1 e tempo de exposição a corrente entre 1 e 60 segundos. As frequências elétricas de 100, 300 e 500 Hz, combinadas com a força de campo elétrico de 128 V m-1 durante 5 segundos foram as combinações elétricas mais adequadas para a insensibilização pré-abate de jundiás, uma vez que contribuíram para maior duração do atordoamento aparente, menores níveis de glicose e lactato e menor alteração nas características da carne comparadas às demais. A anestesia com OE (300 mg L-1) não reduziu os níveis de marcadores bioquímicos de estresse dos jundiás, entretanto, comparado aos peixes não anestesiados, retardou a perda de frescor e deterioração do pescado conservado em gelo, já que atrasou a degradação do ADP em AMP e a formação de inosina, e contribuiu para menor pontuação de demérito na avaliação sensorial do odor dos peixes e das brânquias, firmeza da região ventral e no esquema TFRU, especialmente quando associado ao atordoamento elétrico. Além disso, os peixes não anestesiados estavam inaceitáveis para o consumo no 23° dia de armazenamento refrigerado, enquanto que os peixes anestesiados tornaram-se inaceitáveis somente no 33° dia. O OE também apresentou atividade antimicrobiana contra espécies da família Enterobacteriaceae, porém, quando utilizado antes da insensibilização por hipotermia não impediu as alterações oxidativas post mortem nos filés congelados, e potencializou a oxidação lipídica dos filés congelados quando associada ao atordoamento elétrico. O atordoamento por hipotermia não modificou as alterações post mortem do pescado estocado em gelo, porém os filés dos peixes submetidos à hipotermia apresentaram maior oxidação de grupos sulfidrila e carbonilação de proteínas com consequente redução da luminosidade e aumento na intensidade da cor amarela durante o congelamento, o que também pode ter influenciado na maior diferença total de cor, e maior elasticidade dos filés ao longo dos 18 meses de armazenamento congelado em relação ao atordoamento elétrico. Em contrapartida, o atordoamento elétrico resultou em instalação mais rápida do rigor mortis quando comparado à hipotermia, mas não acelerou a resolução do rigor mortis nem a degradação do ATP dos peixes inteiros armazenados em gelo. O atordoamento elétrico favoreceu a geração de hidroperóxidos no final do período de estocagem congelada dos filés, e resultou em maior intensidade da cor vermelha no início do armazenamento comparado à hipotermia. Dessa forma, o atordoamento elétrico, utilizando um campo elétrico de 128 V m-1 combinado à frequência elétrica de 300 Hz durante 5 segundos, pode ser utilizado na insensibilização pré-abate de jundiás, já que não apresentou qualquer efeito negativo na estabilidade post mortem do pescado refrigerado ou dos filés congelados em comparação com a hipotermia. Além disso, a anestesia prévia com 300 mg L-1 de OE de L. alba também pode ser utilizada nessa etapa do processamento do pescado, especialmente para os peixes conservados inteiros em gelo.

The diploma thesis identifies the attitude of the Czech public on the issue of fresh breads and pastries prepared from frozen semi-finished product based on consumer research. It is focused on the supply side, specifically on analysis of sales of fresh bread and bakery products prepared from frozen semi-finished products within the selected retail units. Further to the survey among Czech producers of bread, and also monitored supply of bread from frozen semi-finished products in selected retail chains.

Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information (SRI) font face à de nouveaux défis liés à la croissance et à la diversité des données disponibles. Un SRI analyse la requête soumise par l'utilisateur et explore des collections de données de nature non structurée ou semi-structurée (par exemple : texte, image, vidéo, page Web, etc.) afin de fournir des résultats qui correspondent le mieux à son intention et ses intérêts. Afin d'atteindre cet objectif, au lieu de prendre en considération l'appariement requête-document uniquement, les SRI s'intéressent aussi au contexte de l'utilisateur. En effet, le profil utilisateur a été considéré dans la littérature comme l'élément contextuel le plus important permettant d'améliorer la pertinence de la recherche. Il est intégré dans le processus de recherche d'information afin d'améliorer l'expérience utilisateur en recherchant des informations spécifiques. Comme le facteur temps a gagné beaucoup d'importance ces dernières années, la dynamique temporelle est introduite pour étudier l'évolution du profil utilisateur qui consiste principalement à saisir les changements du comportement, des intérêts et des préférences de l'utilisateur en fonction du temps et à actualiser le profil en conséquence. Les travaux antérieurs ont distingué deux types de profils utilisateurs : les profils à court-terme et ceux à long-terme. Le premier type de profil est limité aux intérêts liés aux activités actuelles de l'utilisateur tandis que le second représente les intérêts persistants de l'utilisateur extraits de ses activités antérieures tout en excluant les intérêts récents. Toutefois, pour les utilisateurs qui ne sont pas très actifs dont les activités sont peu nombreuses et séparées dans le temps, le profil à court-terme peut éliminer des résultats pertinents qui sont davantage liés à leurs intérêts personnels. Pour les utilisateurs qui sont très actifs, l'agrégation des activités récentes sans ignorer les intérêts anciens serait très intéressante parce que ce type de profil est généralement en évolution au fil du temps. Contrairement à ces approches, nous proposons, dans cette thèse, un profil utilisateur générique et sensible au temps qui est implicitement construit comme un vecteur de termes pondérés afin de trouver un compromis en unifiant les intérêts récents et anciens. Les informations du profil utilisateur peuvent être extraites à partir de sources multiples. Parmi les méthodes les plus prometteuses, nous proposons d'utiliser, d'une part, l'historique de recherche, et d'autre part les médias sociaux. / Recently, search engines have become the main source of information for many users and have been widely used in different fields. However, Information Retrieval Systems (IRS) face new challenges due to the growth and diversity of available data. An IRS analyses the query submitted by the user and explores collections of data with unstructured or semi-structured nature (e.g. text, image, video, Web page etc.) in order to deliver items that best match his/her intent and interests. In order to achieve this goal, we have moved from considering the query-document matching to consider the user context. In fact, the user profile has been considered, in the literature, as the most important contextual element which can improve the accuracy of the search. It is integrated in the process of information retrieval in order to improve the user experience while searching for specific information. As time factor has gained increasing importance in recent years, the temporal dynamics are introduced to study the user profile evolution that consists mainly in capturing the changes of the user behavior, interests and preferences, and updating the profile accordingly. Prior work used to discern short-term and long-term profiles. The first profile type is limited to interests related to the user's current activities while the second one represents user's persisting interests extracted from his prior activities excluding the current ones. However, for users who are not very active, the short-term profile can eliminate relevant results which are more related to their personal interests. This is because their activities are few and separated over time. For users who are very active, the aggregation of recent activities without ignoring the old interests would be very interesting because this kind of profile is usually changing over time. Unlike those approaches, we propose, in this thesis, a generic time-sensitive user profile that is implicitly constructed as a vector of weighted terms in order to find a trade-off by unifying both current and recurrent interests. User profile information can be extracted from multiple sources. Among the most promising ones, we propose to use, on the one hand, searching history. Data from searching history can be extracted implicitly without any effort from the user and includes issued queries, their corresponding results, reformulated queries and click-through data that has relevance feedback potential. On the other hand, the popularity of Social Media makes it as an invaluable source of data used by users to express, share and mark as favorite the content that interests them.