No description available.

L'épilepsie du lobe temporal (ELT) est la forme la plus fréquente de l'épilepsie chez l'adulte. Elle se traduit par des crises spontanées et récurrentes, qui sont résistantes à tout traitement dans 90% des cas. Une agression initiale du cerveau (traumatisme crânien, méningite, convulsions fébriles etc.), est souvent à l'origine de la transformation d'un cerveau « sain » en cerveau épileptique. L'ensemble des processus responsables de cette transition s'appelle l'épileptogenèse. Pouvoir bloquer et/ou retarder l'épileptogenèse chez les patients à risque est une question de santé majeure. En plus des crises, l'ELT soulève d'autres questions. Elle est souvent associée à des déficits cognitifs, qui sont la conséquence de la réorganisation des circuits neuronaux. Ces déficits pourraient être traités de façon indépendante de l'épilepsie elle-même. Le projet de recherche de cette thèse s'inscrit dans ce cadre général. / Temporal Lobe Epilepsy (TLE) is the most common form of epilepsy in adults. It translates into spontaneous and recurrent seizures, which are resistant to any treatment in 90% of cases. An initial brain insult (head injury, meningitis, febrile seizures etc.), is often the cause of the transformation of a "healthy" brain into an epileptic one. The process responsible for this transition is called epileptogenesis. Blocking and/or delaying epileptogenesis in at-risk patients is a key issue for public health. In addition to the seizures, TLE raises other problems. It is often associated with cognitive deficits, which are the result of the reorganization of neuronal circuits. These deficits may be treated independently of epilepsy itself. The work presented here fits into this general framework.

O estabelecimento das memórias de longo prazo requer uma efetiva comunicação do hipocampo com o neocortex. Um mecanismo plausível envolvido na comunicação neuronal e na plasticidade sináptica é a sincronização da atividade elétrica cerebral na frequência teta. Estudos recentes mostraram que a sincronização entre os ritmos teta do hipocampo e do córtex pré-frontal aumenta durante a evocação das memórias aversivas e diminui após a extinção do aprendizado. Entretanto, outros ritmos cerebrais, como as ondas delta, também estão envolvidos nas respostas comportamentais do medo e nos processos de memória. Desta forma, o ritmo teta, que já foi bastante estudado pelo seu papel no aprendizado e na memória, e o ritmo delta, por seu envolvimento no ciclo sono-vigília, foram investigados considerando a relação causal entre eles. Ainda não está bem estabelecido como os ritmos delta e teta podem juntos contribuir nos processos cognitivos ou como os ritmos do hipocampo podem influenciar ou receber influencias da atividade cortical. Neste trabalho foi investigada a contribuição dos ritmos delta e teta em função do estado comportamental (vigília ativa ou congelamento) e do tipo de memória evocada (recente ou remota). Além disso, foi realizada uma análise de sincronia de fase para inferir a dinâmica da atividade elétrica entre o córtex pré-frontal medial, o hipocampo e o córtex visual durante a evocação das memórias de medo. Para tanto, os animais foram treinados e testados numa tarefa de condicionamento de medo ao contexto. Neste tipo de condicionamento, o animal aprende a estabelecer uma associação entre um determinado contexto (caixa de condicionamento) e um evento aversivo (choque elétrico nas patas) que ocorreu neste contexto. Quando o animal foi reintroduzido na caixa de condicionamento, o mesmo exibiu uma série de respostas condicionadas incluindo a reação de congelamento. Os resultados mostraram que os ritmos delta e teta estão relacionados de forma específica às respostas comportamentais de medo e de evocação das memórias recente e remota. Observou-se no espectro de potências uma maior contribuição do ritmo teta durante a vigília exploratória, diminuindo durante o congelamento. Neste último, os ratos apresentaram um robusto aumento da contribuição do ritmo delta. Além disso, a medida de causalidade mostrou ser dependente do estado comportamental do animal. Finalmente, um aumento da sincronia entre o hipocampo e o córtex pré-frontal foi evidenciado durante a evocação de memória recente, contraposta à diminuição durante a evocação da memória remota. Estes resultados indicam que a sincronização da atividade elétrica cerebral pode refletir uma facilitação na comunicação neuronal / The establishment of long-term memories requires effective communication of the hippocampus to the neocortex. Electrophysiological activities between hippocampus and prefrontal cortex have shown higher theta synchronization during retrieval of aversive memories and lower during extinction learning. While theta activity is more differently related to learning and memory, delta waves have been more discussed in the context of sleep or \"offline\" states. Few studies have investigated delta waves during \"on-line\" states (such as task-relevant situations) and the contribution of these rhythms to memory storage remains unclear. We recorded electrophysiological data to study the contributions of delta and theta waves in cortico-hippocampal system of rats underwent to contextual fear conditioning. Our experiment consisted of environmental pre-exposition, training with electrical footshocks, and recent/remote memory tests. Two groups of rats were tested one or eighteen days post training for recent or remote memory, respectively. Local field potential time series of two behavioral states were sampled: active exploration and freezing. The results showed that theta and delta rhythms play an important role in behavioral responses and memory processing. They are related to fear recall and their contribution depend on the recent or remote memory. Additionally, using an order parameter we show that theta contribution is strongly pronounced in active exploration, decreasing during freezing. In the latter, the rats presented pronounced delta waves in freezing. Moreover, a behavioral-dependent causality measure showed an increase of theta influence in delta rhythms, resulting in a theta slowing in aversive memory retrieval. Finally, we show an increased synchrony between hippocampus and prefrontal cortex during recall of recent memory, but a decreased synchrony in remote memory. We proposed that synchronized activity may facilitate the communication of information and once the memories are established in the neocortex, the synchronization decreases, and recalling them becomes more independent of the hippocampus. We proposed that delta-theta oscillations of the hippocampus over neocortical areas reflect information processing during aversive memory retrieval

Responsive analytics are rapidly taking over the traditional data analytics dominated by the post-fact approaches in traditional data warehousing. Recent advancements in analytics demand placing analytical engines at the forefront of the system to react to updates occurring at high speed and detect patterns, trends, and anomalies. These kinds of solutions find applications in Financial Systems, Industrial Control Systems, Business Intelligence and on-line Machine Learning among others. These applications are usually associated with Big Data and require the ability to react to constantly changing data in order to obtain timely insights and take proactive measures. Generally, these systems specify the analytical results or their basic elements in a query language, where the main task then is to maintain query results under frequent updates efficiently. The task of reacting to updates and analyzing changing data has been addressed in two ways in the literature: traditional business intelligence (BI) solutions focus on historical data analysis where the data is refreshed periodically and in batches, and stream processing solutions process streams of data from transient sources as flows of data items. Both kinds of systems share the niche of reacting to updates (known as dynamic evaluation), however, they differ in architecture, query languages, and processing mechanisms. In this thesis, we investigate the possibility of a reactive and unified framework to model queries that appear in both kinds of systems.In traditional BI solutions, evaluating queries under updates has been studied under the umbrella of incremental evaluation of queries that are based on the relational incremental view maintenance model and mostly focus on queries that feature equi-joins. Streaming systems, in contrast, generally follow automaton based models to evaluate queries under updates, and they generally process queries that mostly feature comparisons of temporal attributes (e.g. timestamp attributes) along with comparisons of non-temporal attributes over streams of bounded sizes. Temporal comparisons constitute inequality constraints while non-temporal comparisons can either be equality or inequality constraints. Hence these systems mostly process inequality joins. As a starting point for our research, we postulate the thesis that queries in streaming systems can also be evaluated efficiently based on the paradigm of incremental evaluation just like in BI systems in a main-memory model. The efficiency of such a model is measured in terms of runtime memory footprint and the update processing cost. To this end, the existing approaches of dynamic evaluation in both kinds of systems present a trade-off between memory footprint and the update processing cost. More specifically, systems that avoid materialization of query (sub)results incur high update latency and systems that materialize (sub)results incur high memory footprint. We are interested in investigating the possibility to build a model that can address this trade-off. In particular, we overcome this trade-off by investigating the possibility of practical dynamic evaluation algorithm for queries that appear in both kinds of systems and present a main-memory data representation that allows to enumerate query (sub)results without materialization and can be maintained efficiently under updates. We call this representation the Dynamic Constant Delay Linear Representation (DCLRs).We devise DCLRs with the following properties: 1) they allow, without materialization, enumeration of query results with bounded-delay (and with constant delay for a sub-class of queries), 2) they allow tuple lookup in query results with logarithmic delay (and with constant delay for conjunctive queries with equi-joins only), 3) they take space linear in the size of the database, 4) they can be maintained efficiently under updates. We first study the DCLRs with the above-described properties for the class of acyclic conjunctive queries featuring equi-joins with projections and present the dynamic evaluation algorithm called the Dynamic Yannakakis (DYN) algorithm. Then, we present the generalization of the DYN algorithm to the class of acyclic queries featuring multi-way Theta-joins with projections and call it Generalized DYN (GDYN). We devise DCLRs with the above properties for acyclic conjunctive queries, and the working of DYN and GDYN over DCLRs are based on a particular variant of join trees, called the Generalized Join Trees (GJTs) that guarantee the above-described properties of DCLRs. We define GJTs and present algorithms to test a conjunctive query featuring Theta-joins for acyclicity and to generate GJTs for such queries. We extend the classical GYO algorithm from testing a conjunctive query with equalities for acyclicity to testing a conjunctive query featuring multi-way Theta-joins with projections for acyclicity. We further extend the GYO algorithm to generate GJTs for queries that are acyclic.GDYN is hence a unified framework based on DCLRs that enables processing of queries that appear in streaming systems as well as in BI systems in a unified main-memory model and addresses the space-time trade-off. We instantiate GDYN to the particular case where all Theta-joins involve only equalities and inequalities and call this instantiation IEDYN. We implement DYN and IEDYN as query compilers that generate executable programs in the Scala programming language and provide all the necessary data structures and their maintenance and enumeration methods in a continuous stream processing model. We evaluate DYN and IEDYN against state-of-the-art BI and streaming systems on both industrial and synthetically generated benchmarks. We show that DYN and IEDYN outperform the existing systems by over an order of magnitude efficiency in both memory footprint and update processing time. / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished

This study delves into the syntactic notion of subject relation in Shona with the aim of characterizing and defining it. This is done through analysing data collected from two of the Shona speaking provinces in Zimbabwe, namely, Harare and Masvingo. The data collection procedures involved the tape recording of oral interviews as well as doing selective listening to different speeches. The data were then analysed using the projection principle, noun phrase movement transformational rule as well as the selectional principles established for the subject relation in the other well researched natural languages. The research found out that there is no one single rule that can be used to determine the subject of every possible Shona sentence. One has to make use of all the seven selectional principles established in the well-researched natural languages. The research managed to assess the applicability of the selectional rules in different sentences. The rules were then ranked according to their reliability in determining the subjects of each of the various Shona sentences. It also came to light that the Shona subject relation has a number of sub-categories as a result of the various selectional rules involved in determining them. These were also ranked in a hierarchy of importance as they apply in the language. For instance, whilst some are assigned to their host words at the deep structure or underlying level of syntax, some are assigned at the surface structure level and can be shifted easily. It also emerged that the freedom of the subject relation in the language varies with the sub-category of the relation. It came to light as well that in Shona both noun phrases (NPs) and non-NPs are assigned the subject role. / African Languages / D. Litt. et Phil. (African Languages)

O sinal EEG, cujas informações descrevem o comportamento elétrico do córtex cerebral, apesar de ser bastante utilizado para diagnósticos, principalmente de patologias como epilepsia, no Brasil ainda não é usual o monitoramento contínuo em ambiente de UTI em hospitais públicos. Diante disso, e partindo do pressuposto que estudos sobre o EEG normal, registrado em pessoas sem problemas neurológicos, são escassos, a criação de uma base de registros de EEG normal e análise quantitativa da mesma se faz necessária para que, por meio dos resultados obtidos, padrões normais possam ser estabelecidos e por meio deles a identificação de parâmetros patológicos se torne mais eficaz. Nesse projeto foi elaborada uma base de dados de EEG, com total de 100 registros válidos, advindos de voluntários normais e saudáveis. E a partir desses registros a situação de vigília e olhos fechados foi analisada sob o aspecto de três quantificadores distintos, sendo eles, Porcentagem de Contribuição de Potência (PCP), Frequência Mediana (FM) e Coerência, ambos avaliando o sinal no domínio da frequência. A fim de obter comparações para os resultados obtidos pela análise dos dados do EEG normal, foram utilizados 128 registros de EEG em situação de coma, com diferentes tipos de etiologias e desfechos. Os ritmos que apresentaram maiores distinções entre normal e coma foram Delta e Alfa, principalmente para o quantificador FM. Notou-se que o PCP avaliou características de potência e portanto sintetizou as informações de energia de cada ritmo cerebral tanto em EEG normal quanto em EEG coma. Já FM traz informações de valores de frequências em que há maior concentração de potência, e por fim o quantificador coerência informa o grau de semelhança entre o hemisfério direito e o esquerdo do cérebro. Sendo assim não foi possível afirmar qual dos quantificadores apresentou melhores resultados, visto que cada um trata-se de uma características distintas. / The EEG signal, whose information describes the electrical behavior of the cerebral cortex, although it is widely used for diagnoses, mainly of pathologies such as epilepsy, in Brazil it is still not usual to monitor the ICU environment in public hospitals. Considering this, and assuming that studies on normal EEG, registered in people without neurological problems, are scarce, the creation of a base of normal EEG registers and quantitative analysis of it is necessary so that, through the obtained results, Normal patterns can be established and through them, the identification of pathological parameters becomes more effective. In this project, an EEG database was developed, with 100 valid records from normal and healthy volunteers. In addition, from these records, the waking and closed eyes situation was analyzed under the aspect of three distinct quantifiers, being: Power Contribution Percentage (PCP), Median Frequency (FM) and Coherence, both evaluating the signal in the frequency domain. In order to obtain comparisons for the results obtained by the analysis of the normal EEG data, 128 EEG records were used in coma, with different types of etiologies and outcomes. The rhythms that presented the highest distinctions between normal and coma were Delta and Alpha, mainly for the FM quantifier. It was noted that PCP evaluated power characteristics and therefore synthesized the energy information of each brain rhythm in both normal EEG and EEG coma. Already FM brings information of values of frequencies in which there is greater concentration of power, and finally the quantifier coherence informs the degree of similarity between the right and left hemisphere of the brain. Thus, it was not possible to say which of the quantifiers presented better results, since each one is a distinct characterization. / Dissertação (Mestrado)

O estabelecimento das memórias de longo prazo requer uma efetiva comunicação do hipocampo com o neocortex. Um mecanismo plausível envolvido na comunicação neuronal e na plasticidade sináptica é a sincronização da atividade elétrica cerebral na frequência teta. Estudos recentes mostraram que a sincronização entre os ritmos teta do hipocampo e do córtex pré-frontal aumenta durante a evocação das memórias aversivas e diminui após a extinção do aprendizado. Entretanto, outros ritmos cerebrais, como as ondas delta, também estão envolvidos nas respostas comportamentais do medo e nos processos de memória. Desta forma, o ritmo teta, que já foi bastante estudado pelo seu papel no aprendizado e na memória, e o ritmo delta, por seu envolvimento no ciclo sono-vigília, foram investigados considerando a relação causal entre eles. Ainda não está bem estabelecido como os ritmos delta e teta podem juntos contribuir nos processos cognitivos ou como os ritmos do hipocampo podem influenciar ou receber influencias da atividade cortical. Neste trabalho foi investigada a contribuição dos ritmos delta e teta em função do estado comportamental (vigília ativa ou congelamento) e do tipo de memória evocada (recente ou remota). Além disso, foi realizada uma análise de sincronia de fase para inferir a dinâmica da atividade elétrica entre o córtex pré-frontal medial, o hipocampo e o córtex visual durante a evocação das memórias de medo. Para tanto, os animais foram treinados e testados numa tarefa de condicionamento de medo ao contexto. Neste tipo de condicionamento, o animal aprende a estabelecer uma associação entre um determinado contexto (caixa de condicionamento) e um evento aversivo (choque elétrico nas patas) que ocorreu neste contexto. Quando o animal foi reintroduzido na caixa de condicionamento, o mesmo exibiu uma série de respostas condicionadas incluindo a reação de congelamento. Os resultados mostraram que os ritmos delta e teta estão relacionados de forma específica às respostas comportamentais de medo e de evocação das memórias recente e remota. Observou-se no espectro de potências uma maior contribuição do ritmo teta durante a vigília exploratória, diminuindo durante o congelamento. Neste último, os ratos apresentaram um robusto aumento da contribuição do ritmo delta. Além disso, a medida de causalidade mostrou ser dependente do estado comportamental do animal. Finalmente, um aumento da sincronia entre o hipocampo e o córtex pré-frontal foi evidenciado durante a evocação de memória recente, contraposta à diminuição durante a evocação da memória remota. Estes resultados indicam que a sincronização da atividade elétrica cerebral pode refletir uma facilitação na comunicação neuronal / The establishment of long-term memories requires effective communication of the hippocampus to the neocortex. Electrophysiological activities between hippocampus and prefrontal cortex have shown higher theta synchronization during retrieval of aversive memories and lower during extinction learning. While theta activity is more differently related to learning and memory, delta waves have been more discussed in the context of sleep or \"offline\" states. Few studies have investigated delta waves during \"on-line\" states (such as task-relevant situations) and the contribution of these rhythms to memory storage remains unclear. We recorded electrophysiological data to study the contributions of delta and theta waves in cortico-hippocampal system of rats underwent to contextual fear conditioning. Our experiment consisted of environmental pre-exposition, training with electrical footshocks, and recent/remote memory tests. Two groups of rats were tested one or eighteen days post training for recent or remote memory, respectively. Local field potential time series of two behavioral states were sampled: active exploration and freezing. The results showed that theta and delta rhythms play an important role in behavioral responses and memory processing. They are related to fear recall and their contribution depend on the recent or remote memory. Additionally, using an order parameter we show that theta contribution is strongly pronounced in active exploration, decreasing during freezing. In the latter, the rats presented pronounced delta waves in freezing. Moreover, a behavioral-dependent causality measure showed an increase of theta influence in delta rhythms, resulting in a theta slowing in aversive memory retrieval. Finally, we show an increased synchrony between hippocampus and prefrontal cortex during recall of recent memory, but a decreased synchrony in remote memory. We proposed that synchronized activity may facilitate the communication of information and once the memories are established in the neocortex, the synchronization decreases, and recalling them becomes more independent of the hippocampus. We proposed that delta-theta oscillations of the hippocampus over neocortical areas reflect information processing during aversive memory retrieval

Cette thèse porte sur l'étude des points entiers et rationnels de certaines courbes et variétés modulaires. Après une brève introduction décrivant les motivations et le cadre de ce genre d'études ainsi que les résultats principaux de la thèse, le manuscrit se divise en trois parties. Le premier chapitre s'intéresse aux Q-courbes, et aux morphismes Gal(Q/Q) -> PGL2(Fp) qu'on peut leur associer pour tout p premier. Nous montrons que sous de bonnes hypothèses, pour p assez grand par rapport au discriminant du corps de définition de la Q-courbe, ce morphisme est surjectif, ce qui résout un cas particulier du problème d'uniformité de Serre (toujours ouvert en général). Les outils principaux du chapitre sont la méthode de Mazur (basée ici sur des résultats d'Ellenberg), la méthode de Runge et des théorèmes d'isogénie, suivant la structure de preuve de Bilu et Parent. Le second chapitre consiste en des estimations analytiques de sommes pondérées de valeurs de fonctions L de formes modulaires, dans l'esprit de techniques développées par Duke et Ellenberg. La motivation de départ d'un tel résultat est l'application de la méthode de Mazur dans le premier chapitre. Le troisième chapitre est consacré à la recherche de généralisations de la méthode de Runge pour des variétés de dimension supérieure. Nous y redémontrons un résultat de Levin inspiré de cette méthode, avant d'en prouver une forme assouplie dite "de Runge tubulaire", plus largement applicable. Dans l'optique de recherche de points entiers de variétés modulaires, nous en donnons enfin un exemple d'utilisation à la réduction d'une surface abélienne en produit de courbes elliptiques. / This thesis concerns the study of integral and rational points on some modular curves and varieties. After a brief introduction which describes the motivation and the setting of this topic as well as the main results of this thesis, the manuscript follows a threefold development. The first chapter focuses on Q-curves, and on the morphisms Gal(Q/Q) -> PGL2(Fp) that we can build with a Q-curve for every prime p. We prove that, under good hypotheses, for p large enough with respect to the discriminant of the definition field of the Q-curve, such a morphism is surjective, which solves a particular case of Serre's uniformity problem (still open in general). The main tools of the chapter are Mazur's method (based here on results of Ellenberg), Runge's method, and isogeny theorems, following the strategy of Bilu and Parent. The second chapter covers analytic estimates of weighted sums of L-function values of modular forms, in the fashion of techniques designed by Duke and Ellenberg. The initial goal of such a result is the application of Mazur's method in the first chapter. The third chapter is devoted to the search for generalisations of Runge's method for higherdimensional varieties. Here we prove anew a result of Levin inspired by this method, before proving an enhanced version called "tubular Runge", more generally applicable. In the perspective of studying integral points of modular varieties, we finally give an example of application of this theorem to the reduction of an abelian surface in a product of elliptic curves.

This dissertation deals with selected areas within capital budgeting theory and practice. The first part is focused on possibilities how to improve traditional financial metrics as net present value and internal rate of return by using graphical tools for their interpretation. The main practical problem can be considered not the methodology itself, but the inability to predict future cash flows correctly. The special attention is paid to depreciation in connection with Czech accounting and tax legislation and its influence on capital decisions. The second part of the dissertation concentrates on real option analysis. The crucial difference between net present value and real options analysis is in how these methods deal with the risk. Mathematical approach is used to derive how the volatility and other parameters affect the theoretical value of an investment determined by real option. The more volatile the future cash flows are the higher theoretical value of the real option should be. Nevertheless, there are some exceptions that are analysed in this paper. In final chapter, total cost of ownership and real option analysis are used to evaluate option to switch from on-premise IT solution to cloud computing.

<pre><p>Difficulty understanding speech in background noise is the most common hearing complaint. Elucidating the neurophysiological mechanisms underlying speech intelligibility in everyday environments with multiple sound sources and distortions is hence important for any technology that aims to improve real-world listening. Using a combination of behavioral, electroencephalography (EEG), and computational modeling experiments, this dissertation provides insight into how the brain analyzes such complex scenes, and what roles different acoustic cues play in facilitating this process and in conveying phonetic content. Experiment #1 showed that brain oscillations selectively track the temporal envelopes (i.e., modulations) of attended speech in a mixture of competing talkers, and that the strength and pattern of this attention effect differs between individuals. Experiment #2 showed that the fidelity of neural tracking of attended-speech envelopes is strongly shaped by the modulations in interfering sounds as well as the temporal fine structure (TFS) conveyed by the cochlea, and predicts speech intelligibility in diverse listening environments. Results from Experiments #1 and #2 support the theory that temporal coherence of sound elements across envelopes and/or TFS shapes scene analysis and speech intelligibility. Experiment #3 tested this theory further by measuring and computationally modeling consonant categorization behavior in a range of background noises and distortions. We found that a physiologically plausible model that incorporated temporal-coherence effects predicted consonant confusions better than conventional speech-intelligibility models, providing independent evidence that temporal coherence influences scene analysis. Finally, results from Experiment #3 also showed that TFS is used to extract speech content (voicing) for consonant categorization even when intact envelope cues are available. Together, the novel insights provided by our results can guide future models of speech intelligibility and scene analysis, clinical diagnostics, improved assistive listening devices, and other audio technologies.</p></pre>