The current understanding of lactate metabolism in fish is based almost entirely on interpretation of concentration measurements that cannot be used to infer changes in flux. Moreover, the transporters regulating these fluxes have never been characterized in rainbow trout. My goals were: (1) to quantify lactate fluxes in rainbow trout under normoxic resting conditions, during acute hypoxia, and exercise by continuous infusion of [U-14C] lactate; (2) to determine lactate uptake capacity of trout tissues by infusing exogenous lactate in fish rest and during graded exercise, and (3) to clone monocarboxylate transporters (MCTs) and determine the effects of exhausting exercise on their expression. Such information could prove important to understand the mechanisms underlying the classic “lactate retention” seen in trout white muscle after intense exercise. In normoxic resting fish, the rates of appearance (Ra) and disappearance (Rd) of lactate were always matched (~18 to 13 µmol kg-1 min-1), thereby maintaining a low baseline blood lactate concentration (~0.8 mM). In hypoxic fish, Ra lactate increased from baseline to 36.5 µmol kg-1 min-1, and was accompanied by an unexpected 52% increase in Rd reaching 30.3 µmol kg-1 min-1, accounting for a rise in blood lactate to 8.9 mM. In exercising fish, lactate flux was stimulated > 2.4 body lengths per second (BL s-1). As the fish reached critical swimming speed (Ucrit), Ra lactate was more stimulated (+67% to 40.4 μmol kg-1 min-1) than Rd (+41% to 34.7 μmol kg-1 min-1), causing an increase in blood lactate to 5.1mM. Fish infused with exogenous lactate stimulated Rd lactate by 300% (14 to 56 μmol kg-1 min-1) during graded exercise, whereas the Rd in resting fish increased by only 90% (21 to 40 µmol kg-1 min-1). Four MCT isoforms were partially cloned and characterized in rainbow trout: MCT1b was the most abundant in heart, and red muscle, but poorly expressed in gill and brain where MCT1a and MCT2 were prevalent. MCT4 was more expressed in the heart. Transcript levels of MCT2 (+260%; brain), MCT1a (+90%; heart) and MCT1b (+50%; heart) were stimulated by exhausting exercise. This study shows that: (i) the increase in Rd lactate plays a strategic role in reducing the lactate load imposed on the circulation. Without this response, blood lactate accumulation would double; (ii) a high capacity for lactate disposal in rainbow trout tissues is elicited by the increased blood-to-tissue lactate gradient when extra lactate is administered; and (iii) rainbow trout may be unable to release large lactate loads rapidly from white muscle after exhausting exercise (lactate retention) because they poorly express MCT4 in white muscle and fail to upregulate its expression during exercise.

La popularisation des véhicules a engendré des problèmes de sécurité et d’environnement. Desprojets ont été lancés à travers le monde pour améliorer la sécurité sur la route, réduire l’encombrementdu trafic et apporter plus de confort aux conducteurs. L’environnement des réseaux devéhicules est complexe et dynamique, les sources sont souvent hétérogènes, de ce fait les informationséchangées peuvent souvent être imparfaites. La théorie des fonctions de croyance modélisesouplement les connaissances et fournit des outils riches pour gérer les différents types d’imperfection.Elle est utilisée pour représenter l’incertitude, gérer les différentes informations acquises etles fusionner. Nous nous intéressons à la gestion des informations imparfaites échangées entre lesvéhicules concernant les événements sur la route. Les événements locaux et les événements étendusn’ayant pas les mêmes caractéristiques, les travaux réalisés les distinguent. Dans un environnementsans infrastructure où chaque véhicule a son propre module de fusion, l’objectif est de fournir auxconducteurs la synthèse la plus proche possible de la réalité. Différents modèles fondés sur desfonctions de croyance sont proposés et différentes stratégies sont étudiées : affaiblir ou renforcervers l’absence de l’événement pour prendre en compte le vieillissement des messages, garder lesmessages initiaux ou seulement le résultat de la fusion dans la base des véhicules, considérer la miseà jour du monde, prendre en compte l’influence du voisinage pour gérer la spatialité des embouteillages.Les perspectives restent nombreuses, certaines sont développées dans ce manuscrit commela généralisation des méthodes proposées à tous les événements étendus tels que les brouillards. / The popularization of vehicles has created safety and environmental problems. Projects havebeen launched worldwide to improve road safety, reduce traffic congestion and bring more comfortto drivers. The vehicle network environment is dynamic and complex, sources are often heterogeneous,and therefore the exchanged information may be imperfect. The theory of belief functionsoffers flexibility in uncertainty modeling and provides rich tools for managing different types of imperfection.It is used to represent uncertainty, manage and fuse the various acquired information.We focus on the management of imperfect information exchanged between vehicles concerningevents on the road. The carried work distinguishes local events and spatial events, which do nothave the same characteristics. In an environment without infrastructure where each vehicle is afusion center and creates its own vision, the goal is to provide to each driver the synthesis of thesituation on the road as close as possible to the reality. Different models using belief functionsare proposed. Different strategies are considered: discount or reinforce towards the absence of theevent to take into account messages ageing, keep the original messages or just the fusion result invehicle database, consider the world update, manage the spatiality of traffic jam events by takinginto account neighborhood. Perspectives remain numerous; some are developed in the manuscriptas the generalization of proposed methods to all spatial events such as fog blankets.

The current understanding of lactate metabolism in fish is based almost entirely on interpretation of concentration measurements that cannot be used to infer changes in flux. Moreover, the transporters regulating these fluxes have never been characterized in rainbow trout. My goals were: (1) to quantify lactate fluxes in rainbow trout under normoxic resting conditions, during acute hypoxia, and exercise by continuous infusion of [U-14C] lactate; (2) to determine lactate uptake capacity of trout tissues by infusing exogenous lactate in fish rest and during graded exercise, and (3) to clone monocarboxylate transporters (MCTs) and determine the effects of exhausting exercise on their expression. Such information could prove important to understand the mechanisms underlying the classic “lactate retention” seen in trout white muscle after intense exercise. In normoxic resting fish, the rates of appearance (Ra) and disappearance (Rd) of lactate were always matched (~18 to 13 µmol kg-1 min-1), thereby maintaining a low baseline blood lactate concentration (~0.8 mM). In hypoxic fish, Ra lactate increased from baseline to 36.5 µmol kg-1 min-1, and was accompanied by an unexpected 52% increase in Rd reaching 30.3 µmol kg-1 min-1, accounting for a rise in blood lactate to 8.9 mM. In exercising fish, lactate flux was stimulated > 2.4 body lengths per second (BL s-1). As the fish reached critical swimming speed (Ucrit), Ra lactate was more stimulated (+67% to 40.4 μmol kg-1 min-1) than Rd (+41% to 34.7 μmol kg-1 min-1), causing an increase in blood lactate to 5.1mM. Fish infused with exogenous lactate stimulated Rd lactate by 300% (14 to 56 μmol kg-1 min-1) during graded exercise, whereas the Rd in resting fish increased by only 90% (21 to 40 µmol kg-1 min-1). Four MCT isoforms were partially cloned and characterized in rainbow trout: MCT1b was the most abundant in heart, and red muscle, but poorly expressed in gill and brain where MCT1a and MCT2 were prevalent. MCT4 was more expressed in the heart. Transcript levels of MCT2 (+260%; brain), MCT1a (+90%; heart) and MCT1b (+50%; heart) were stimulated by exhausting exercise. This study shows that: (i) the increase in Rd lactate plays a strategic role in reducing the lactate load imposed on the circulation. Without this response, blood lactate accumulation would double; (ii) a high capacity for lactate disposal in rainbow trout tissues is elicited by the increased blood-to-tissue lactate gradient when extra lactate is administered; and (iii) rainbow trout may be unable to release large lactate loads rapidly from white muscle after exhausting exercise (lactate retention) because they poorly express MCT4 in white muscle and fail to upregulate its expression during exercise.

Title: The effect of airway control on stance dynamic stability Objectives: The aim of this thesis is to find out whether and how will the influence of vocal cords modulation be manifested on the dynamic stabilization of the standing body during translational shifts of the supporting surface of different intensities and A-P directions. Thus, building on the findings of Massery et al (2013). Methods: The thesis has the character of qualitative research. The experiment was attended by 23 healthy probands, of which 7 men and 16 women aged 20-40 years. Spirometry was used to test the objectivity of airway airflow during breathing / phoning maneuvers with different vocal cords positioning and dynamic computer posturography using the Neurocom Smart Equi Test System and its Motor Control Test, which evaluated the effectiveness of automatic postural responses. We connected the posturograph with the spirometer using the Kistler accelerometer (type 8766A100BB). The course of the experiment was simultaneously recorded by a camera (GoPro Hero 7). The Smart EquiTest System generated three postural perturbations of different intensity (S - sub treshold, M - threshold, L - saturating) in two directions (anterior translation / posterior translation). The measured data were then processed in the program Neurocom...

The Savonius turbine is a self-starting vertical axis turbine that has a few advantages compared to other vertical axis turbines such as lower cost, lower noise and is relatively easy to manufacture. This turbine does however have a lower efficiency and is therefore less used in the electricity production than other turbines.  This thesis is trying to tackle this problem with the use of 2D CFD-simulations of flow directors to modify the flow through the turbine to increase the efficiency. The focus during this project is to use this turbine as a Marine Current Turbine (MCT) in unidirectional flows. The turbine was based on a turbine design from a previous study at Uppsala University. The design of the flow directors was modeled with the intention to increase the available pressure drop from the front to the back of the turbine and therefore increase the velocity through the turbine. The flow directors comprised of two arcs on each side of the turbine so that they resembled a Venturi-tunnel, with a funnel in the front and a diffuser at the back. A validation of the domain dimensions and mesh-size was conducted and after this the different parameters of the flow directors were varied one at a time with the best value of a given parameter being kept for the latter simulations. At the end, the rotational velocity of the turbine was varied to find how sensitive the power output was based on this factor. This study concluded that an increase in the power coefficient of about 3,2 times was achievable compared to the same turbine in free flow. However, this needs to be further investigated and validated in real world tests as this study was conducted using 2D-simulations and other effects may influence the results in the real world. / <p>This project was conducted within Stand up for wind and Stand up for energy.</p>

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The dissertation thesis deals with the analysis of prospective environmentally compatible electrical insulating fluids for electrical engineering in relation to their chemical structure. The thesis starts with the overview of the current state of the art and of the latest trends in the use of synthetic and biodegradable natural oils. In the experimental part were studied these oils: mineral oils, rapeseed oil, sunflower oils, soybean oil, methyl oleate, peanut oil, MCT oil, castor oil and other. Dielectric properties were measured using LRC meter Agilent 4980A including dielectric liquid test fixture Agilent 16452A and also by the Novocontrol Alpha-A analyzer. Electrical properties are presented in the frequency range 10 mHz – 1 MHz range in the temperature interval 253 K to 363 K. The work goes on with the study of the suitability of individual oils for lower temperature, including the impact of the chemical structure and formulation on electrical properties.

Title: Evaluation of postural stability of athletes - a literature review Objectives: Thesis will address retrieval processing rating Dynamic Postural Stability of athletes . Compares analysis or results of research or investigations of different laborers working with this theme. It also mentions tests and machines used in clinical practice. It also investigates in what sports was postural stability tested and how or with what results. The most advanced, currently the most recognized dynamic posturography with impartial value is EquiTest device from NeuroCom. Therefore, the practical part focuses primarily on the results of examination of this device and make statistics about that. Methods: The diploma thesis has descriptive and analytical character. It is elaborate as a literary review . Results: The study includes 142 studies, of which only 11 concern the assessment of postural stability of athletes. Sports disciplines include tennis, football, baseball, tai-chi, taekwondo, gymnastics, basketball, softball. Entire EquiTest testing battery (which contains 7 test in total - Sensory Organization Test, Motor Coordination and Control Test, Adaptation Test, Unilateral Stance Test, Limits Of Stability Test, Rhytmics Weight Shift, Weight Bearing Squat) is almost never used in assessments although it's a...

An increase in the co-operativity in the motion of particles and a growth of a suitably defined dynamical correlation length seem to be generic features exhibited by all liquids upon supercooling. These features have been observed both in experiments and in numerical simulations of glass-forming liquids. Specially designed NMR experiments have estimated that the rough magnitude of this correlation length is of the order of a few nanometers near the glass transition. Simulations also predict that there are regions in the system which are more liquid-like than other regions. A complete theoretical understanding of this behaviour is not available at present. In recent calculations, Berthier, Biroli and coworkers [1, 2] extended the simple mode coupling theory (MCT) to incorporate the effects of dynamic heterogeneity and predicted the existence of a growing dynamical correlation length associated with the cooperativity of the dynamics. MCT also predicts a power law divergence of different dynamical quantities at the mode coupling temperature and at temperatures somewhat higher than the mode coupling temperature, these predictions are found to be consistent with experimental and simulation results. The system size dependence of these quantities should exhibit finite size scaling (FSS) similar to that observed near a continuous phase transition in the temperature range where they show power law growth. Hence we have used the method of finite size scaling in the context of the dynamics of supercooled liquids. In chapter 2, we present the results of extensive molecular dynamics simulations of a model glass forming liquid and extract a dynamical correlation length ξ associated with dynamic heterogeneity by performing a detailed finite size scaling analysis of a four-point dynamic susceptibility χ4(t) [3] and the associated Binder cumulant. We find that although these quantities show the “normal” finite size scaling behaviour expected for a system with a growing correlation length, the relaxation time τ does not. Thus glassy dynamics can not be fully understood in terms of “standard” critical phenomena. Inspired by the success of the empirical Adam-Gibbs relation [4] which relates dynamics with the configurational entropy, we have calculated the configurational entropy for different system sizes and temperatures to explain the nontrivial scaling behaviour of the relaxation time. We find that the behaviour of the relaxation time τ can be explained in terms of the Adam-Gibbs relation [4] for all temperatures and system sizes. This observation raises serious questions about the validity of the mode coupling theory which does not include the effects of the potential energy (or free energy) landscape on the dynamics. On the other hand, in the “random first order transition” theory (RFOT), introduced by Wolynes and coworkers [5], the configurational entropy plays a central role in determining the dynamics. So we also tried to explain our simulation results in terms of RFOT. However, this interpretation has the drawback that the value of one of the exponents of this theory extracted from our numerical results does not satisfy an expected physical bound, and there is no clear explanation for the obtained values of other exponents. Thus we find puzzling values for the exponents relevant to the applicability of RFOT, which are in need of explanation. This can be due to the fact that RFOT focuses only near the glass transition, while all our simulation results are for temperatures far above the glass transition temperature (actually, above the mode coupling temperature). Interestingly, results similar to ours were obtained in a recent analysis [6] of experimental data near the laboratory glass transition, on a large class of glass-forming materials. Thus right now we do not have any theory which can explain our simulation data consistently from all perspectives. There have been some attempts to extend the RFOT analysis to temperatures above the mode coupling temperature [7, 8] and to estimate a length scale associated with the configurational entropy at such temperatures. We compare our results with the predictions arising from these analyses. In chapter 3, we present simulation results that suggest that finite size scaling analysis is probably the only feasible method for obtaining reliable estimates of the dynamical correlation length for supercooled liquids. As mentioned before, although there exists a growing correlation length, the behaviour of all measured quantities (specifically, the relaxation time) is not in accordance with the behaviour expected in “standard” critical phenomena. So one might suspect the results for the correlation length extracted from the scaling analysis. To find out whether the results obtained by doing finite size scaling are correct, we have done simulations of very large system sizes for the same model glass forming liquid. In earlier studies, the correlation length has been extracted from the wave vector dependence of the dynamic susceptibility in the limit of zero wave vector, but to estimate the correlation length with reasonable accuracy one needs data in the small wave vector range. This implies that one needs to simulate very large systems. But as far as we know, in all previous studies typical system sizes of the order of 10, 000 particles have been used to do this analysis. In this chapter we show by comparing results for systems of 28, 000 and 350, 000 particles that these previous estimates are not reliable. We also show that one needs to simulate systems with at least a million particles to estimate the correlation length correctly near the mode coupling temperature and this size increases with decreasing temperature. We compare the correlation length obtained by analyzing the wave vector dependence of the dynamic susceptibility for a 350, 000particle system with the results obtained from the finite size scaling analysis. We were only able to compare the results in the high temperature range due to obvious reasons. However the agreement in the high temperature range shows that the finite size scaling analysis is robust and also establishes the fact that finite size scaling is the only practical method to extract reliable correlation lengths in supercooled liquids. In chapter 4, we present a free energy landscape analysis of dynamic heterogeneity for a monodisperse hard sphere system. The importance of the potential energy landscape for particles interacting with soft potentials is well known in the glass community from the work of Sastry et al. [9] and others, but the hard sphere system which does not have any well defined potential energy landscape also exhibits similar slow dynamics in the high density limit. Thus it is not clear how to treat the hard sphere systems within the same energy landscape formalism. Dasgupta et al. [10, 11, 12, 13, 14, 15] showed that one can explain the slow dynamics of these hard core systems in term of a free energy landscape picture. They and other researchers showed that these system have many aperiodic local minima in its free energy landscape, with free energy lower than that of the liquid. Using the Ramkrishnan-Yussouff free energy functional, we have performed multi parameter variational minimizations to map out the detailed density distribution of glassy free energy minima. We found that the distribution of the widths of local density peaks at glassy minima is spatially heterogeneous. By performing hard sphere event driven molecular dynamics simulation, we show that there exists strong correlation between these density inhomogeneity and the local Debye-Waller factor which provides a measure of the dynamic heterogeneity observed in simulations. This result unifies the system of hard core particles with the other soft core particles in terms of a landscapebased description of dynamic heterogeneity. In chapter 5, we extend the same free energy analysis to a polydisperse system and show that there is a critical polydispersity beyond which the crystal state is not stable and glassy states are thermodynamically stable. We also found a reentrant behaviour in the liquid-solid phase transition within this free-energy based formalism. These results are in qualitative agreement with experimental observations for colloidal systems.

Many imprinted genes are necessary for normal human development. Approximately 70 imprinted genes have been identified in humans. I developed a novel approach to identify candidate imprinted genes in humans using the premise that imprinted genes are often associated with nearby parent-of-origin-specific DNA differentially methylated regions (DMRs). I identified parent-of-origin-specific DMRs using sodium bisulfite-based DNA (CpG) methylation profiling of uniparental tissues, mature cystic ovarian teratoma (MCT) and androgenetic complete hydatidiform mole (AnCHM), and biparental tissues, blood and placenta. In support of this approach, the CpG methylation profiling led to the identification of parent-of-origin-specific differentially methylated CpG sites (DMCpGs) in known parent-of-origin-specific DMRs. I found new DMRs for known imprinted genes NAP1L5 and ZNF597. Most importantly, I discovered many new DMCpGs, which were associated with nearby genes, i.e., candidate imprinted genes. Allelic expression analyses of one candidate imprinted gene, AXL, suggested polymorphic imprinting of AXL in human blood.