Integroitua ilmoittelua? Case:Etelä-Karjalan primääriset matkailuyritykset

Tutkielmassa selvitettiin kuinka integroitua Etelä-Karjalassa sijaitsevien primääristen matkailuyritysten ilmoittelu heterogeenisille massoille suunnatuissa alue-esitteissä on ja millaiset seikat vaikuttavat integroinnissa onnistumi-seen. Lisäksi selvitettiin mitä lisäarvoa alue-esiteilmoittelun avulla saadaan yrityksen markkinointiviestintään. Tutkimus suoritettiin kahdessa eri vaiheessa. Kvantitatiivisen kirjoituspöytätutkimuksen avulla analysoitiin ensin 83 eteläkarjalaisen matkailuyrityksen alue-esiteilmoittelua vuosina 2002-2004. Kvantitatiivisen kirjekyselyn avulla selvitettiin sitä miten integrointi otetaan yrityksissä huomioon markkinointiviestintäpäätöksiä tehtäessä. Eteläkarjalaisten matkailuyritysten markkinointisuunnittelu on yleisellä tasolla lyhytjänteistä ja epäsystemaattista. Suunnitelmat laaditaan vain harvoin kirjallisessa muodossa. Markkinointiviestinnässä ja ilmoittelussa huolehditaan integroinnista kuitenkin hyvin ja ilmoittelun peruselementit osataan säilyttää samana sekä lyhyellä että pitkällä aikavälillä. Ilmoittelussa säilyvät parhaiten samana yrityksen logot ja ilmoitusten yleisilme. Vain harvoin yritysten ilmoittelussa eri alue-esitteissä ei ole mitään yhteistä. Lyhyellä tähtäimellä eniten integrointiongelmia aiheuttaa esitteiden ilmestyminen eri aikaan vuodesta ja ilmoituksen lyhyt suunnitteluaikataulu. Sekä lyhyellä että pitkällä tähtäimellä integrointiongelmia aiheuttaa se, että osa esitteistä on sanomalehti- ja osa aikakauslehtityyppisiä. Alue-esiteilmoittelu lisää yrityksen tunnettuutta sekä matkailijoiden että paikkakuntalaisten keskuudessa. Sen avulla tavoitetaan viime hetkessä ostopäätöksensä tekevät, jo paikkakunnalla olevat matkailijat, erityisesti ulkomaalaiset matkailijat.

Lidar measurement of surface melt for a temperate Alpine glacier at the seasonal and hourly scales

This study shows how a new generation of terrestrial laser scanners can be used to investigate glacier surface ablation and other elements of glacial hydrodynamics at exceptionally high spatial and temporal resolution. The study area is an Alpine valley glacier, Haut Glacier d'Arolla, Switzerland. Here we use an ultra-long-range lidar RIEGL VZ-6000 scanner, having a laser specifically designed for measurement of snow- and ice-cover surfaces. We focus on two timescales: seasonal and daily. Our results show that a near-infrared scanning laser system can provide high-precision elevation change and ablation data from long ranges, and over relatively large sections of the glacier surface. We use it to quantify spatial variations in the patterns of surface melt at the seasonal scale, as controlled by both aspect and differential debris cover. At the daily scale, we quantify the effects of ogive-related differences in ice surface debris content on spatial patterns of ablation. Daily scale measurements point to possible hydraulic jacking of the glacier associated with short-term water pressure rises. This latter demonstration shows that this type of lidar may be used to address subglacial hydrologic questions, in addition to motion and ablation measurements.

Effect of short-duration lipid supplementation on fat oxidation during exercise and cycling performance.

The effect of intramyocellular lipids (IMCLs) on endurance performance with high skeletal muscle glycogen availability remains unclear. Previous work has shown that a lipid-supplemented high-carbohydrate (CHO) diet increases IMCLs while permitting normal glycogen loading. The aim of this study was to assess the effect of fat supplementation on fat oxidation (Fox) and endurance performance. Twenty-two trained male cyclists performed 2 simulated time trials (TT) in a randomized crossover design. Subjects cycled at ∼53% maximal voluntary external power for 2 h and then followed 1 of 2 diets for 2.5 days: a high-CHO low-fat (HC) diet, consisting of CHO 7.4 g·kg(-1)·day(-1) and fat 0.5 g·kg(-1)·day(-1); or a high-CHO fat-supplemented (HCF) diet, which was a replication of the HC diet with ∼240 g surplus fat (30% saturation) distributed over the last 4 meals of the diet period. On trial morning, fasting blood was sampled and Fox was measured during an incremental exercise; a ∼1-h TT followed. Breath volatile compounds (VOCs) were measured at 3 time points. Mental fatigue, measured as reaction time, was evaluated during the TT. Plasma free fatty acid concentration was 50% lower after the HCF diet (p < 0.0001), and breath acetone was reduced (p < 0.05) "at rest". Fox peaked (∼0.35 g·kg(-1)) at ∼42% peak oxygen consumption, and was not influenced by diet. Performance was not significantly different between the HCF and HC diets (3369 ± 46 s vs 3398 ± 48 s; p = 0.39), nor were reaction times to the attention task and VOCs (p = NS for both). In conclusion, the short-term intake of a lipid supplement in combination with a glycogen-loading diet designed to boost intramyocellular lipids while avoiding fat adaptation did not alter substrate oxidation during exercise or 1-hour cycling performance.

Comparison Structure Analysis

This study presents an automatic, computer-aided analytical method called Comparison Structure Analysis (CSA), which can be applied to different dimensions of music. The aim of CSA is first and foremost practical: to produce dynamic and understandable representations of musical properties by evaluating the prevalence of a chosen musical data structure through a musical piece. Such a comparison structure may refer to a mathematical vector, a set, a matrix or another type of data structure and even a combination of data structures. CSA depends on an abstract systematic segmentation that allows for a statistical or mathematical survey of the data. To choose a comparison structure is to tune the apparatus to be sensitive to an exclusive set of musical properties. CSA settles somewhere between traditional music analysis and computer aided music information retrieval (MIR). Theoretically defined musical entities, such as pitch-class sets, set-classes and particular rhythm patterns are detected in compositions using pattern extraction and pattern comparison algorithms that are typical within the field of MIR. In principle, the idea of comparison structure analysis can be applied to any time-series type data and, in the music analytical context, to polyphonic as well as homophonic music. Tonal trends, set-class similarities, invertible counterpoints, voice-leading similarities, short-term modulations, rhythmic similarities and multiparametric changes in musical texture were studied. Since CSA allows for a highly accurate classification of compositions, its methods may be applicable to symbolic music information retrieval as well. The strength of CSA relies especially on the possibility to make comparisons between the observations concerning different musical parameters and to combine it with statistical and perhaps other music analytical methods. The results of CSA are dependent on the competence of the similarity measure. New similarity measures for tonal stability, rhythmic and set-class similarity measurements were proposed. The most advanced results were attained by employing the automated function generation – comparable with the so-called genetic programming – to search for an optimal model for set-class similarity measurements. However, the results of CSA seem to agree strongly, independent of the type of similarity function employed in the analysis.

Integration of microgrids into electricity distribution networks

Existing electricity distribution system is under pressure because implementation of distributed generation changes the grid configuration and also because some customers demand for better distribution reliability. In a short term, traditional network planning does not offer techno-economical solutions for the challenges and therefore the idea of microgrids is introduced. Islanding capability of microgrids is expected to enable better reliability by reducing effects of faults. The aim of the thesis is to discuss challenges in integration of microgrids into distribution networks. Study discusses development of microgrid related smart grid features and gives estimation of the guideline of microgrid implementation. Thesis also scans microgrid pilots around the world and introduces the most relevant projects. Analysis reveals that the main focus of researched studies is on low voltage microgrids. This thesis extends the idea to medium voltage distribution system and introduces challenges related to medium voltage microgrid implementation. Differences of centralized and distributed microgrid models are analyzed and the centralized model is discovered to be easiest to implement into existing distribution system. Preplan of medium voltage microgrid pilot is also carried out in this thesis.

Price spike forecasting in a competitive day-ahead energy market

Electricity price forecasting has become an important area of research in the aftermath of the worldwide deregulation of the power industry that launched competitive electricity markets now embracing all market participants including generation and retail companies, transmission network providers, and market managers. Based on the needs of the market, a variety of approaches forecasting day-ahead electricity prices have been proposed over the last decades. However, most of the existing approaches are reasonably effective for normal range prices but disregard price spike events, which are caused by a number of complex factors and occur during periods of market stress. In the early research, price spikes were truncated before application of the forecasting model to reduce the influence of such observations on the estimation of the model parameters; otherwise, a very large forecast error would be generated on price spike occasions. Electricity price spikes, however, are significant for energy market participants to stay competitive in a market. Accurate price spike forecasting is important for generation companies to strategically bid into the market and to optimally manage their assets; for retailer companies, since they cannot pass the spikes onto final customers, and finally, for market managers to provide better management and planning for the energy market. This doctoral thesis aims at deriving a methodology able to accurately predict not only the day-ahead electricity prices within the normal range but also the price spikes. The Finnish day-ahead energy market of Nord Pool Spot is selected as the case market, and its structure is studied in detail. It is almost universally agreed in the forecasting literature that no single method is best in every situation. Since the real-world problems are often complex in nature, no single model is able to capture different patterns equally well. Therefore, a hybrid methodology that enhances the modeling capabilities appears to be a possibly productive strategy for practical use when electricity prices are predicted. The price forecasting methodology is proposed through a hybrid model applied to the price forecasting in the Finnish day-ahead energy market. The iterative search procedure employed within the methodology is developed to tune the model parameters and select the optimal input set of the explanatory variables. The numerical studies show that the proposed methodology has more accurate behavior than all other examined methods most recently applied to case studies of energy markets in different countries. The obtained results can be considered as providing extensive and useful information for participants of the day-ahead energy market, who have limited and uncertain information for price prediction to set up an optimal short-term operation portfolio. Although the focus of this work is primarily on the Finnish price area of Nord Pool Spot, given the result of this work, it is very likely that the same methodology will give good results when forecasting the prices on energy markets of other countries.

Effects of lipopolysaccharide on low- and high-density cultured rabbit vascular smooth muscle cells: differential modulation of nitric oxide release, ERK1/ERK2 MAP kinase activity, protein tyrosine phosphatase activity, and DNA synthesis

Previous studies have shown that exogenously generated nitric oxide (NO) inhibits smooth muscle cell proliferation. In the present study, we stimulated rabbit vascular smooth muscle cells (RVSMC) with E. coli lipopolysaccharide (LPS), a known inducer of NO synthase transcription, and established a connection between endogenous NO, phosphorylation/dephosphorylation-mediated signaling pathways, and DNA synthesis. Non-confluent RVSMC were cultured with 0, 5, 10, or 100 ng/ml of the endotoxin. NO release was increased by 86.6% (maximum effect) in low-density cell cultures stimulated with 10 ng/ml LPS as compared to non-stimulated controls. Conversely, LPS (5 to 100 ng/ml) did not lead to enhanced NO production in multilayered (high density) RVSMC. DNA synthesis measured by thymidine incorporation showed that LPS was mitogenic only to non-confluent RVSMC; furthermore, the effect was prevented statistically by aminoguanidine (AG), a potent inhibitor of the inducible NO synthase, and oxyhemoglobin, an NO scavenger. Finally, there was a cell density-dependent LPS effect on protein tyrosine phosphatase (PTP) and ERK1/ERK2 mitogen-activated protein (MAP) kinase activities. Short-term transient stimulation of ERK1/ERK2 MAP kinases was maximal at 12 min in non-confluent RVSMC and was prevented by preincubation with AG, whereas PTP activities were inhibited in these cells after 24-h LPS stimulation. Conversely, no significant LPS-mediated changes in kinase or phosphatase activities were observed in high-density cells. LPS-induced NO generation by RVSMC may switch on a cell density-dependent proliferative signaling cascade, which involves the participation of PTP and the ERK1/ERK2 MAP kinases.

Inhibition of PKC-dependent extracellular Ca2+ entry contributes to the depression of contractile activity in long-term pressure-overloaded endothelium-denuded rat aortas

We examined the contractile responsiveness of rat thoracic aortas under pressure overload after long-term suprarenal abdominal aortic coarctation (lt-Srac). Endothelium-dependent angiotensin II (ANG II) type 2 receptor (AT2R)-mediated depression of contractions to ANG II has been reported in short-term (1 week) pressure-overloaded rat aortas. Contractility was evaluated in the aortic rings of rats subjected to lt-Srac or sham surgery (Sham) for 8 weeks. ANG I and II levels and AT2R protein expression in the aortas of lt-Srac and Sham rats were also evaluated. lt-Srac attenuated the contractions of ANG II and phenylephrine in the aortas in an endothelium-independent manner. However, lt-Srac did not influence the transient contractions induced in endothelium-denuded aortic rings by ANG II, phenylephrine, or caffeine in Ca2+-free medium or the subsequent tonic constrictions induced by the addition of Ca2+ in the absence of agonists. Thus, the contractions induced by Ca2+ release from intracellular stores and Ca2+ influx through stored-operated channels were not inhibited in the aortas of lt-Srac rats. Potassium-elicited contractions in endothelium-denuded aortic rings of lt-Srac rats remained unaltered compared with control tissues. Consequently, the contractile depression observed in aortic tissues of lt-Srac rats cannot be explained by direct inhibition of voltage-operated Ca2+ channels. Interestingly, 12-O-tetradecanoylphorbol-13-acetate-induced contractions in endothelium-denuded aortic rings of lt-Srac rats were depressed in the presence but not in the absence of extracellular Ca2+. Neither levels of angiotensins nor of AT2R were modified in the aortas after lt-Srac. The results suggest that, in rat thoracic aortas, lt-Srac selectively inhibited protein kinase C-mediated activation of contraction that is dependent on extracellular Ca2+ entry.

The Impact of Acquisitions on Share Pricing and Long Term Performance – Empirical Evidence from the Global Automotive Industry

Automotive industry has faced intense consolidation pressure, which has lead to increasing number of M&As. However, empirical evidence has given controversial results suggesting that most of M&As are value destructive for acquiring companies and for acquiring companies’ shareholders. The objective of this master’s thesis is to examine how acquiring companies’ shareholders react to acquisition announcement and is the reaction in line with the long-term performance. This study uses empirical evidence from automotive industry, which has been characterized as an industry that holds large amount of vertical and horizontal synergies. Transaction data consists of 65 acquisitions made by publicly listed companies between 2008-2010. The short-term impact is tested by applying event study methodology while the long term operative performance is examined with accounting study methodology. The event study results indicate that during the three days after acquisition (t= 0-2), the acquiring firms’ stocks generate an abnormal return of 1.22% on average across all acquisitions. When long term performance is studied it is evident that acquiring companies perform better than the industry median pre- and post-transaction but there is no statistically significant evidence that the performance has increased. The only performance ratio indicating statistically significant decrease is Return on Equity (ROE). On long-term horizontal acquisitions seem to outperform conglomerate ones but otherwise deal characteristics do not have any statistically significant impact.

The role of molecular, clinical and socioeconomic factors in the long-term survival of axillary node negative breast cancer patients

The overall objective of this study was to investigate factors associated with long-term survival in axillary node negative (ANN) breast cancer patients. Clinical and biological factors included stage, histopathologic grade, p53 mutation, Her-2/neu amplification, estrogen receptor status (ER), progesterone receptor status (PR) and vascular invasion. Census derived socioeconomic (SES) indicators included median individual and household income, proportions of university educated individuals, housing type, "incidence" of low income and an indicator of living in an affluent neighbourhood. The effects of these measures on breast cancer-specific survival and competing cause survival were investigated. A cohort study examining survival among axillary node negative (ANN) breast cancer patients in the greater Toronto area commenced in 1 989. Patients were followed up until death, lost-to-follow up or study termination in 2004. Data were collected from several sources measuring patient demographics, clinical factors, treatment, recurrence of disease and survival. Census level SES data were collected using census geo-coding of patient addresses' at the time of diagnosis. Additional survival data were acquired from the Ontario Cancer Registry to enhance and extend the observation period of the study. Survival patterns were examined using KaplanMeier and life table procedures. Associations were examined using log-rank and Wilcoxon tests of univariate significance. Multivariate survival analyses were perfonned using Cox proportional hazards models. Analyses were stratified into less than and greater than 5 year survival periods to observe whether known markers of short-tenn survival were also associated with reductions in long-tenn survival among breast cancer patients. The 15 year survival probabilities in this cohort were: for breast cancerspecific survival 0.88, competing causes survival 0.89 and for overall survival 0.78. Estrogen receptor (ER) and progesterone receptor (PR) status (Hazard Ratio (HR) ERIPR- versus ER+/PR+, 8.15,95% CI, 4.74, 14.00), p53 mutation (HR, 3.88, 95% CI, 2.00, 7.53) and Her-2 amplification (HR, 2.66, 95% CI, 1.36, 5.19) were associated with significant reductions in short-tenn breast cancer-specific survival «5 years following diagnosis), however, not with long-term survival in univariate analyses. Stage, histopathologic grade and ERiPR status were the clinicallbiologieal factors that were associated with short-term breast cancer specific survival in multivariate results. Living in an affluent neighbourhood (top quintile of median household income compared to the rest of the population) was associated with the largest significant increase in long-tenn breast cancer-specific survival after adjustment for stage, histopathologic grade and treatment (HR, 0.36, 95% CI, 0.12, 0.89).

Some Implications of the Zero Lower Bound on Interest Rates for the Term Structure and Monetary Policy

In an economy where cash can be stored costlessly (in nominal terms), the nominal interest rate is bounded below by zero. This paper derives the implications of this nonnegativity constraint for the term structure and shows that it induces a nonlinear and convex relation between short- and long-term interest rates. As a result, the long-term rate responds asymmetrically to changes in the short-term rate, and by less than predicted by a benchmark linear model. In particular, a decrease in the short-term rate leads to a decrease in the long-term rate that is smaller in magnitude than the increase in the long-term rate associated with an increase in the short-term rate of the same size. Up to the extent that monetary policy acts by affecting long-term rates through the term structure, its power is considerably reduced at low interest rates. The empirical predictions of the model are examined using data from Japan.

Le diabète maternel influence la morphogenèse rénale et la programmation périnatale

Le diabète maternel est un facteur de risque majeur pour le développement de malformations congénitales. Dans le syndrome de l’embryopathie diabétique, l’exposition prolongée du fœtus à de hautes concentrations ambientes de glucose induit des dommages qui peuvent affecter plusieurs organes, dont les reins. Les malformations rénales sont la cause de près de 40 pourcent des cas d’insuffisance rénale infantile. L’hyperglycémie constitue un environnement utérin adverse qui nuit à la néphrogenèse et peut causer l’agenèse, la dysplasie (aplasie) ou l’hypoplasie rénale. Les mécanismes moléculaires par lesquels les hautes concentrations ambientes de glucose mènent à la dysmorphogenèse et aux malformations demeurent toutefois mal définis. Le diabète maternel prédispose aussi la progéniture au développement d’autres problèmes à l’âge adulte, tels l’hypertension, l’obésité et le diabète de type 2. Ce phénomène appelé ‘programmation périnatale’ a suscité l’intérêt au cours des dernières décennies, mais les mécanismes responsables demeurent mal compris. Mes études doctorales visaient à élucider les mécanismes moléculaires par lesquels le diabète maternel ou un environnement in utero hyperglycémique affecte la néphrogenèse et programme par la suite la progéniture a développer de l’hypertension par des observations in vitro, ex vivo et in vivo. Nous avons utilisé les cellules MK4, des cellules embryonnaires du mésenchyme métanéphrique de souris, pour nos études in vitro et deux lignées de souris transgéniques (Tg) pour nos études ex vivo et in vivo, soient les souris HoxB7-GFP-Tg et Nephrin-CFP-Tg. Les souris HoxB7-GFP-Tg expriment la protéine fluorescente verte (GFP) dans le bourgeon urétérique (UB), sous le contrôle du promoteur HoxB7. Les souris Nephrin-CFP expriment la protéine fluorescente cyan (CFP) dans les glomérules, sous le contrôle du promoteur nephrin spécifique aux podocytes. Nos études in vitro visaient à déterminer si les hautes concentrations de glucose modulent l’expression du gène Pax2 dans les cellules MK4. Les cellules MK4 ont été traitées pendant 24h avec du milieu contenant soit 5mM D-glucose et 20mM D-mannitol ou 25mM D-glucose et avec ou sans antioxydants ou inhibiteurs de p38 MAPK, p44/42 MAPK, PKC et NF-kB. Nos résultats ont démontré que le D-glucose élevé (25mM) augmente la génération des espèces réactives de l’oxygène (ROS) dans les cellules MK4 et induit spécifiquement l’expression du gène Pax2. Des analogues du glucose tels le D-mannitol, L-glucose ou le 2-Deoxy-D-glucose n’induisent pas cette augmentation dans les cellules MK4. La stimulation de l’expression du gène Pax2 par le D-glucose dans les cellules MK4 peut être bloquée par des inhibiteurs des ROS et de NF-kB, mais pas par des inhibiteurs de p38 MAPK, p44/42 MAPK ou PKC. Ces résultats indiquent que la stimulation de l’expression du gène Pax2 par les concentrations élevées de glucose est due, au moins en partie, à la génération des ROS et l’activation de la voie de signalisation NF-kB, et non pas via les voies PKC, p38 MAPK et p44/42 MAPK. Nos études ex vivo s’intéressaient aux effets d’un milieu hyperglycémique sur la morphogenèse de la ramification du bourgeon urétérique (UB). Des explants de reins embryonnaires (E12 à E18) ont été prélevés par micro-dissection de femelles HoxB7-GFP gestantes. Les explants ont ensuite été cultivés dans un milieu contenant soit 5mM D-glucose et 20mM D-mannitol ou 25mM D-glucose et avec ou sans antioxydants, catalase ou inhibiteur de PI3K/AKT pour diverses durées. Nos résultats ont démontré que le D-glucose stimule la ramification du UB de manière spécifique, et ce via l’expression du gène Pax2. Cette augmentation de la ramification et de l’expression du gène Pax2 peut être bloquée par des inhibiteurs des ROS et de PI3K/AKT. Ces études ont démontré que les hautes concentrations de glucose altèrent la morphogenèse de la ramification du UB via l’expression de Pax2. L’effet stimulant du glucose semble s’effectuer via la génération des ROS et l’activation de la voie de signalisation Akt. Nos études in vivo visaient à déterminer le rôle fondamental du diabète maternel sur les défauts de morphogenèse rénale chez la progéniture. Dans notre modèle animal, le diabète maternel est induit par le streptozotocin (STZ) chez des femelles HoxB7-GFP gestantes (E13). Les souriceaux ont été étudiés à différents âges (naissants et âgés de une, deux ou trois semaines). Nous avons examiné leurs morphologie rénale, nombre de néphrons, expression génique et les événements apoptotiques lors de cette étude à court terme. La progéniture des mères diabétiques avait un plus faible poids, taille et poids des reins, et possédait des glomérules plus petits et moins de néphrons par rapport à la progéniture des mères contrôles. La dysmorphogenèse rénale observée est peut-être causée par l’augmentation de l’apoptose des cellules dans la région du glomérule. Nos résultats ont montré que les souriceaux nés de mères diabétiques possèdent plus de podocytes apoptotiques et plus de marquage contre la caspase-3 active dans leurs tubules rénaux que la progéniture des mères contrôles. Les souriceaux des mères diabétiques montrent une augmentation de l’expression des composants du système rénine angiotensine (RAS) intrarénal comme l’angiotensinogène et la rénine, ainsi qu’une augmentation des isoformes p50 et p65 de NF-kB. Ces résultats indiquent que le diabète maternel active le RAS intrarénal et induit l’apoptose des glomérules, menant à une altération de la morphogenèse rénale de la progéniture. En conclusion, nos études ont permis de démontrer que le glucose élevé ou l’environnement in utero diabétique altère la morphogenèse du UB, qui résulte en un retard dans la néphrogenèse et produit des reins plus petits. Cet effet est dû, au moins en partie, à la génération des ROS, à l’activation du RAS intrarénal et à la voie NF-kB. Nos études futures se concentreront sur les mécanismes par lesquels le diabète maternel induit la programmation périnatale de l’hypertension chez la progéniture adulte. Cette étude à long terme porte sur trois types de progénitures : adultes nés de mères contrôles, diabétiques ou diabétiques traitées avec insuline pendant la gestation. Nous observerons la pression systolique, la morphologie rénale et l’expression de divers gènes et protéines. Nous voulons de plus déterminer si la présence d’un système antioxydant (catalase) peut protéger la progéniture des effets néfastes des ROS causés par l’environnement in utero hyperglycémique. Les souris Catalase-Tg expriment la catalase spécifiquement dans les tubules proximaux et nous permettrons d’explorer notre hypothèse sur le rôle des ROS dans notre modèle expérimental de diabète maternel.

The Effects of Pro-inflammatory Cytokines on the L-type Calcium Current in Mouse Ventricular Myocytes

L’inflammation: Une réponse adaptative du système immunitaire face à une insulte est aujourd’hui reconnue comme une composante essentielle à presque toutes les maladies infectieuses ou autres stimuli néfastes, tels les dommages tissulaires incluant l’infarctus du myocarde et l’insuffisance cardiaque. Dans le contexte des maladies cardiovasculaires, l’inflammation se caractérise principalement par une activation à long terme du système immunitaire, menant à une faible, mais chronique sécrétion de peptides modulateurs, appelés cytokines pro-inflammatoires. En effet, la littérature a montré à plusieurs reprises que les patients souffrant d’arythmies et de défaillance cardiaque présentent des taux élevés de cytokines pro-inflammatoires tels le facteur de nécrose tissulaire alpha (TNFα), l’interleukine 1β (IL-1β) et l’interleukine 6. De plus, ces patients souffrent souvent d’une baisse de la capacité contractile du myocarde. Le but de notre étude était donc de déterminer si un lien de cause à effet existe entre ces phénomènes et plus spécifiquement si le TNFα, l’IL-1β et l’IL-6 peuvent affecter les propriétés électriques et contractiles du cœur en modulant le courant Ca2+ de type L (ICaL) un courant ionique qui joue un rôle primordial au niveau de la phase plateau du potentiel d’action ainsi qu’au niveau du couplage excitation-contraction. Les possibles méchansimes par lesquels ces cytokines exercent leurs effets seront aussi explorés. Pour ce faire, des cardiomyocytes ventriculaires de souris nouveau-nées ont été mis en culture et traités 24 heures avec des concentrations pathophysiologiques (30 pg/mL) de TNFα, IL-1β ou IL-6. Des enregistrements de ICaL réalisés par la technique du patch-clamp en configuration cellule entière ont été obtenus par la suite et les résultats montrent que le TNFα n’affecte pas ICaL, même à des concentrations plus élevées (1 ng/mL). En revanche, l’IL-1β réduisait de près de 40% la densité d’ICaL. Afin d’examiner si le TNFα et l’IL-1β pouvaient avoir un effet synergique, les cardiomyocytes ont été traité avec un combinaison des deux cytokines. Toutefois aucun effet synergique sur ICaL n’a été constaté. En outre, l’IL-6 réduisait ICaL significativement, cependant la réduction de 20% était moindre que celle induite par IL-1β. Afin d’élucider les mécanismes sous-jacents à la réduction de ICaL après un traitement avec IL-1β, l’expression d’ARNm de CaV1.2, sous-unité α codante pour ICaL, a été mesurée par qPCR et les résultats obtenus montrent aucun changement du niveau d’expression. Plusieurs études ont montré que l’inflammation et le stress oxydatif vont de pair. En effet, l’imagerie confocale nous a permis de constater une augmentation accrue du stress oxydatif induit par IL-1β et malgré un traitement aux antioxydants, la diminution de ICaL n’a pas été prévenue. Cette étude montre qu’IL-1β et IL-6 réduisent ICaL de façon importante et ce indépendamment d’une régulation transcriptionelle ou du stress oxydatif. De nouvelles données préliminaires suggèrent que ICaL serait réduit suite à l’activation des protéines kinase C mais des études additionelles seront nécessaires afin d’étudier cette avenue. Nos résultats pourraient contribuer à expliquer les troubles du rythme et de contractilité observés chez les patients souffrant de défaillance cardiaque.

Caractérisation moléculaire d’un récent modèle d’étude de la leucémie myéloïde aigüe à caryotype normal :la lignée cellulaire CG-SH

La leucémie myéloïde aigüe (LMA) est la forme de leucémie la plus fréquente chez l’adulte au Canada. Bien que de nombreux réarrangements chromosomiques récurrents aient été identifiés chez les patients LMA, près de la moitié des cas présentent un caryotype normal (LMA-CN). L’étude de la LMA-CN in vitro est rendue difficile par le fait que la survie des cellules primaires de patients est défectueuse sur le long terme et que les lignées cellulaires leucémiques ont un caryotype hautement anormal. En 2009, Munker et son équipe ont établi une nouvelle lignée cellulaire, CG-SH, ayant la particularité d’avoir un caryotype normal. L’objectif principal de ce projet d’étude est de caractériser plus en détail ce nouveau modèle d’étude. Nous avons identifié l’ensemble des variants génétiques présents dans CG-SH grâce au séquençage du génome entier. Les variants susceptibles de participer à la leucémogénèse ont été isolés, tels que des insertions détectées dans EZH2 et GATA2, et de nombreux variants faux-sens détectés dans des gènes pertinents pour la LMA. Nous avons montré que les cellules CG-SH sont sensibles à l’effet prolifératif d’une combinaison de cytokines, qui agissent sur le comportement des cellules en modifiant l’expression des gènes associés à la régulation de la prolifération, de l’apoptose et de la différentiation. De plus, les cytokines diminuent le taux de nécrose des cellules en culture sur le court terme. La présente étude a permis d’approfondir notre connaissance sur les caractéristiques moléculaires de la lignée cellulaire CG-SH, un nouveau modèle d’étude in vitro de la LMA-CN.

Reinforcement Learning Approaches to Power System Scheduling

One major component of power system operation is generation scheduling. The objective of the work is to develop efficient control strategies to the power scheduling problems through Reinforcement Learning approaches. The three important active power scheduling problems are Unit Commitment, Economic Dispatch and Automatic Generation Control. Numerical solution methods proposed for solution of power scheduling are insufficient in handling large and complex systems. Soft Computing methods like Simulated Annealing, Evolutionary Programming etc., are efficient in handling complex cost functions, but find limitation in handling stochastic data existing in a practical system. Also the learning steps are to be repeated for each load demand which increases the computation time.Reinforcement Learning (RL) is a method of learning through interactions with environment. The main advantage of this approach is it does not require a precise mathematical formulation. It can learn either by interacting with the environment or interacting with a simulation model. Several optimization and control problems have been solved through Reinforcement Learning approach. The application of Reinforcement Learning in the field of Power system has been a few. The objective is to introduce and extend Reinforcement Learning approaches for the active power scheduling problems in an implementable manner. The main objectives can be enumerated as:(i) Evolve Reinforcement Learning based solutions to the Unit Commitment Problem.(ii) Find suitable solution strategies through Reinforcement Learning approach for Economic Dispatch. (iii) Extend the Reinforcement Learning solution to Automatic Generation Control with a different perspective. (iv) Check the suitability of the scheduling solutions to one of the existing power systems.First part of the thesis is concerned with the Reinforcement Learning approach to Unit Commitment problem. Unit Commitment Problem is formulated as a multi stage decision process. Q learning solution is developed to obtain the optimwn commitment schedule. Method of state aggregation is used to formulate an efficient solution considering the minimwn up time I down time constraints. The performance of the algorithms are evaluated for different systems and compared with other stochastic methods like Genetic Algorithm.Second stage of the work is concerned with solving Economic Dispatch problem. A simple and straight forward decision making strategy is first proposed in the Learning Automata algorithm. Then to solve the scheduling task of systems with large number of generating units, the problem is formulated as a multi stage decision making task. The solution obtained is extended in order to incorporate the transmission losses in the system. To make the Reinforcement Learning solution more efficient and to handle continuous state space, a fimction approximation strategy is proposed. The performance of the developed algorithms are tested for several standard test cases. Proposed method is compared with other recent methods like Partition Approach Algorithm, Simulated Annealing etc.As the final step of implementing the active power control loops in power system, Automatic Generation Control is also taken into consideration.Reinforcement Learning has already been applied to solve Automatic Generation Control loop. The RL solution is extended to take up the approach of common frequency for all the interconnected areas, more similar to practical systems. Performance of the RL controller is also compared with that of the conventional integral controller.In order to prove the suitability of the proposed methods to practical systems, second plant ofNeyveli Thennal Power Station (NTPS IT) is taken for case study. The perfonnance of the Reinforcement Learning solution is found to be better than the other existing methods, which provide the promising step towards RL based control schemes for practical power industry.Reinforcement Learning is applied to solve the scheduling problems in the power industry and found to give satisfactory perfonnance. Proposed solution provides a scope for getting more profit as the economic schedule is obtained instantaneously. Since Reinforcement Learning method can take the stochastic cost data obtained time to time from a plant, it gives an implementable method. As a further step, with suitable methods to interface with on line data, economic scheduling can be achieved instantaneously in a generation control center. Also power scheduling of systems with different sources such as hydro, thermal etc. can be looked into and Reinforcement Learning solutions can be achieved.