Microquasar models for 3EG J1828+0142 and 3EG J1735-1500

Microquasars are promising candidates to emit high-energy gamma-rays. Moreover, statistical studies show that variable EGRET sources at low galactic latitudes could be associated with the inner spiral arms. The variable nature and the location in the Galaxy of the high-mass microquasars, concentrated in the galactic plane and within 55 degrees from the galactic center, give to these objects the status of likely counterparts of the variable low-latitude EGRET sources. We consider in this work the two most variable EGRET sources at low-latitudes: 3EG J1828+0142 and 3EG J1735-1500, proposing a microquasar model to explain the EGRET data in consistency with the observations at lower energies (from radio frequencies to soft gamma-rays) within the EGRET error box.

Hollywood Films in the Non-Western World: What Are the Criteria Followed by the Chinese Government When Choosing Hollywood Film Imports?

This dissertation argues that the Government of the People’s Republic of China, when it made the decision to import a quota of Hollywood films in 1994 to revive the failing domestic film industry, had different possible criteria in mind. This project has studied four of them: first, importing films that gave a negative image of the United States; second, importing films that featured Chinese talent or themes; third, importing films that were box office hits in the United States; and fourth, importing films with a strong technological innovation ingredient. In order to find out the most important criteria for the Chinese Government, this dissertation offers a dataset that analyzes a population of 262 Hollywood films released in the PRC between 1994 and 2010. For each unit, a method has been developed to compile data that will determine whether the film reflects any of the four criteria, and findings in the form of yearly percentages have been drawn. Results show that, out of the four studied criteria, the two predominant reasons for China to import films were technological innovation and box office hits. This tells us that, at this point, the Chinese Government shows more interest in obtaining big revenues and learning from technically innovative American films than in delivering underlying political messages. This dissertation contributes to the existing literature by analyzing the content of all the films imported by China between 1994 and 2010, while integrating in the analysis variables based on the existing knowledge.

Optimized dark matter searches in deep observations of Segue 1 with MAGIC

We present the results of stereoscopic observations of the satellite galaxy Segue 1 with the MAGIC Telescopes, carried out between 2011 and 2013. With almost 160 hours of good-quality data, this is the deepest observational campaign on any dwarf galaxy performed so far in the very high energy range of the electromagnetic spectrum. We search this large data sample for signals of dark matter particles in the mass range between 100 GeV and 20 TeV. For this we use the full likelihood analysis method, which provides optimal sensitivity to characteristic gamma-ray spectral features, like those expected from dark matter annihilation or decay. In particular, we focus our search on gamma-rays produced from different final state Standard Model particles, annihilation with internal bremsstrahlung, monochromatic lines and box-shaped signals. Our results represent the most stringent constraints to the annihilation cross-section or decay lifetime obtained from observations of satellite galaxies, for masses above few hundred GeV. In particular, our strongest limit (95% confidence level) corresponds to a ~ 500 GeV dark matter particle annihilating into τ+τ−, and is of order langleσannvrangle simeq 1.2 × 10−24 cm3 s−1 a factor ~ 40 above the langleσannvrangle simeq thermal value.

Progressive multifocal leukoencephalopathy in common variable immunodeficiency: mitigated course under mirtazapine and mefloquine.

Demonstration of survival and outcome of progressive multifocal leukoencephalopathy (PML) in a 56-year-old patient with common variable immunodeficiency, consisting of severe hypogammaglobulinemia and CD4+ T lymphocytopenia, during continuous treatment with mirtazapine (30 mg/day) and mefloquine (250 mg/week) over 23 months. Regular clinical examinations including Rankin scale and Barthel index, nine-hole peg and box and block tests, Berg balance, 10-m walking tests, and Montreal Cognitive Assessment (MoCA) were done. Laboratory diagnostics included complete blood count and JC virus (JCV) concentration in cerebrospinal fluid (CSF). The noncoding control region (NCCR) of JCV, important for neurotropism and neurovirulence, was sequenced. Repetitive MRI investigated the course of brain lesions. JCV was detected in increasing concentrations (peak 2568 copies/ml CSF), and its NCCR was genetically rearranged. Under treatment, the rearrangement changed toward the archetype sequence, and later JCV DNA became undetectable. Total brain lesion volume decreased (8.54 to 3.97 cm(3)) and atrophy increased. Barthel (60 to 100 to 80 points) and Rankin (4 to 2 to 3) scores, gait stability, and box and block (7, 35, 25 pieces) and nine-hole peg (300, 50, 300 s) test performances first improved but subsequently worsened. Cognition and walking speed remained stable. Despite initial rapid deterioration, the patient survived under continuous treatment with mirtazapine and mefloquine even though he belongs to a PML subgroup that is usually fatal within a few months. This course was paralleled by JCV clones with presumably lower replication capability before JCV became undetectable. Neurological deficits were due to PML lesions and progressive brain atrophy.

Mammalian Target of Rapamycin Complex 2 Controls CD8 T Cell Memory Differentiation in a Foxo1-Dependent Manner.

Upon infection, antigen-specific naive CD8 T cells are activated and differentiate into short-lived effector cells (SLECs) and memory precursor cells (MPECs). The underlying signaling pathways remain largely unresolved. We show that Rictor, the core component of mammalian target of rapamycin complex 2 (mTORC2), regulates SLEC and MPEC commitment. Rictor deficiency favors memory formation and increases IL-2 secretion capacity without dampening effector functions. Moreover, mTORC2-deficient memory T cells mount more potent recall responses. Enhanced memory formation in the absence of mTORC2 was associated with Eomes and Tcf-1 upregulation, repression of T-bet, enhanced mitochondrial spare respiratory capacity, and fatty acid oxidation. This transcriptional and metabolic reprogramming is mainly driven by nuclear stabilization of Foxo1. Silencing of Foxo1 reversed the increased MPEC differentiation and IL-2 production and led to an impaired recall response of Rictor KO memory T cells. Therefore, mTORC2 is a critical regulator of CD8 T cell differentiation and may be an important target for immunotherapy interventions.

Analysis of space-time environmental data in complex regions

This thesis develops a comprehensive and a flexible statistical framework for the analysis and detection of space, time and space-time clusters of environmental point data. The developed clustering methods were applied in both simulated datasets and real-world environmental phenomena; however, only the cases of forest fires in Canton of Ticino (Switzerland) and in Portugal are expounded in this document. Normally, environmental phenomena can be modelled as stochastic point processes where each event, e.g. the forest fire ignition point, is characterised by its spatial location and occurrence in time. Additionally, information such as burned area, ignition causes, landuse, topographic, climatic and meteorological features, etc., can also be used to characterise the studied phenomenon. Thereby, the space-time pattern characterisa- tion represents a powerful tool to understand the distribution and behaviour of the events and their correlation with underlying processes, for instance, socio-economic, environmental and meteorological factors. Consequently, we propose a methodology based on the adaptation and application of statistical and fractal point process measures for both global (e.g. the Morisita Index, the Box-counting fractal method, the multifractal formalism and the Ripley's K-function) and local (e.g. Scan Statistics) analysis. Many measures describing the space-time distribution of environmental phenomena have been proposed in a wide variety of disciplines; nevertheless, most of these measures are of global character and do not consider complex spatial constraints, high variability and multivariate nature of the events. Therefore, we proposed an statistical framework that takes into account the complexities of the geographical space, where phenomena take place, by introducing the Validity Domain concept and carrying out clustering analyses in data with different constrained geographical spaces, hence, assessing the relative degree of clustering of the real distribution. Moreover, exclusively to the forest fire case, this research proposes two new methodologies to defining and mapping both the Wildland-Urban Interface (WUI) described as the interaction zone between burnable vegetation and anthropogenic infrastructures, and the prediction of fire ignition susceptibility. In this regard, the main objective of this Thesis was to carry out a basic statistical/- geospatial research with a strong application part to analyse and to describe complex phenomena as well as to overcome unsolved methodological problems in the characterisation of space-time patterns, in particular, the forest fire occurrences. Thus, this Thesis provides a response to the increasing demand for both environmental monitoring and management tools for the assessment of natural and anthropogenic hazards and risks, sustainable development, retrospective success analysis, etc. The major contributions of this work were presented at national and international conferences and published in 5 scientific journals. National and international collaborations were also established and successfully accomplished. -- Cette thèse développe une méthodologie statistique complète et flexible pour l'analyse et la détection des structures spatiales, temporelles et spatio-temporelles de données environnementales représentées comme de semis de points. Les méthodes ici développées ont été appliquées aux jeux de données simulées autant qu'A des phénomènes environnementaux réels; nonobstant, seulement le cas des feux forestiers dans le Canton du Tessin (la Suisse) et celui de Portugal sont expliqués dans ce document. Normalement, les phénomènes environnementaux peuvent être modélisés comme des processus ponctuels stochastiques ou chaque événement, par ex. les point d'ignition des feux forestiers, est déterminé par son emplacement spatial et son occurrence dans le temps. De plus, des informations tels que la surface bru^lée, les causes d'ignition, l'utilisation du sol, les caractéristiques topographiques, climatiques et météorologiques, etc., peuvent aussi être utilisées pour caractériser le phénomène étudié. Par conséquent, la définition de la structure spatio-temporelle représente un outil puissant pour compren- dre la distribution du phénomène et sa corrélation avec des processus sous-jacents tels que les facteurs socio-économiques, environnementaux et météorologiques. De ce fait, nous proposons une méthodologie basée sur l'adaptation et l'application de mesures statistiques et fractales des processus ponctuels d'analyse global (par ex. l'indice de Morisita, la dimension fractale par comptage de boîtes, le formalisme multifractal et la fonction K de Ripley) et local (par ex. la statistique de scan). Des nombreuses mesures décrivant les structures spatio-temporelles de phénomènes environnementaux peuvent être trouvées dans la littérature. Néanmoins, la plupart de ces mesures sont de caractère global et ne considèrent pas de contraintes spatiales com- plexes, ainsi que la haute variabilité et la nature multivariée des événements. A cet effet, la méthodologie ici proposée prend en compte les complexités de l'espace géographique ou le phénomène a lieu, à travers de l'introduction du concept de Domaine de Validité et l'application des mesures d'analyse spatiale dans des données en présentant différentes contraintes géographiques. Cela permet l'évaluation du degré relatif d'agrégation spatiale/temporelle des structures du phénomène observé. En plus, exclusif au cas de feux forestiers, cette recherche propose aussi deux nouvelles méthodologies pour la définition et la cartographie des zones périurbaines, décrites comme des espaces anthropogéniques à proximité de la végétation sauvage ou de la forêt, et de la prédiction de la susceptibilité à l'ignition de feu. A cet égard, l'objectif principal de cette Thèse a été d'effectuer une recherche statistique/géospatiale avec une forte application dans des cas réels, pour analyser et décrire des phénomènes environnementaux complexes aussi bien que surmonter des problèmes méthodologiques non résolus relatifs à la caractérisation des structures spatio-temporelles, particulièrement, celles des occurrences de feux forestières. Ainsi, cette Thèse fournit une réponse à la demande croissante de la gestion et du monitoring environnemental pour le déploiement d'outils d'évaluation des risques et des dangers naturels et anthro- pogéniques. Les majeures contributions de ce travail ont été présentées aux conférences nationales et internationales, et ont été aussi publiées dans 5 revues internationales avec comité de lecture. Des collaborations nationales et internationales ont été aussi établies et accomplies avec succès.

Simulação da Química da Atmosfera Poluída por Automóveis Movidos a Álcool

Numerical modeling studies of urban atmospheres were performed with a photochemical box submodel which incorporates primary emission rates, temperature and solar irradiance rate coefficients. Actinic flux calculations were made for an appropriate latitude for Rio de Janeiro and initial concentrations and emission rates were taken from experimental data. The relative importance of individual reactions is discussed as well as the effect of enhanced aldehyde emissions from vehicles using ethanol and ethanol-containing fuel.

Analysis of outliers in electricity spot prices with exampleof New England and New Zealand markets

Electricity spot prices have always been a demanding data set for time series analysis, mostly because of the non-storability of electricity. This feature, making electric power unlike the other commodities, causes outstanding price spikes. Moreover, the last several years in financial world seem to show that ’spiky’ behaviour of time series is no longer an exception, but rather a regular phenomenon. The purpose of this paper is to seek patterns and relations within electricity price outliers and verify how they affect the overall statistics of the data. For the study techniques like classical Box-Jenkins approach, series DFT smoothing and GARCH models are used. The results obtained for two geographically different price series show that patterns in outliers’ occurrence are not straightforward. Additionally, there seems to be no rule that would predict the appearance of a spike from volatility, while the reverse effect is quite prominent. It is concluded that spikes cannot be predicted based only on the price series; probably some geographical and meteorological variables need to be included in modeling.

Impacto de las proliferaciones de medusas en la valoración económica ambiental de las playas de Denia (Sudoeste Mediterráneo), Alicante, España

El actual incremento de medusas en las costas mediterráneas, percibido como un factor negativo en la calidad de las playas, supone un factor reductor de la demanda turística en las ubicaciones costeras, sobre todo en aquellas más afectadas por éstas proliferaciones. Debido a que la época de mayor presencia de fitoplacton disponible (principal fuente de alimento de las medusas), relacionada a la alta incidencia lumínica, coincide con la temporada alta de turismo en el verano; las notificaciones de incidencias por picaduras de medusa en esta época son frecuentes. Ejemplo de ello, es el caso de Denia (Alicante, España) donde, desde 2008, se ha detectado un considerable aumento de incidencias sanitarias a causa de picaduras de medusa, paralela a la aparición de la especie invasora de cubomedusa Carybdea marsupialis (Bordehore et al, 2011). En este estudio se ha realizado una valoración económica de la playa como un bien ambiental recreativo, mediante encuestas semi-estructuradas elaboradas por Paulo Nunes (CIESM), aplicadas a una muestra inicial de 300 individuos; y evaluado cual sería el impacto social y económico en la valoración ambiental de Denia, si las proliferaciones de medusa no se estabilizaran. Se ha estimado el valor económico del impacto sicial causado por las bioinvasiones marinas en las playas recreacionistas según Nunes and Van den Bergh (2004) y Nunes and Markandya (2008); el método que también ha sido aplicado en el mismo estudio aplicado en Israel (B. Galil, J. Gowdy and P. Nunes 2012) y en Cataluña (2013, Paulo Nunes, M. Loureiro, L. Piñol, S. Sastre, L. Voltaire). En ambos casos los resultados en el impacto económico son considerables pero menores a los esperados, al igual que en los resultados obtenidos en Denia (Alicante).

Immunomodulation of allergic immune response during specific immunotherapy

Atopic, IgE-mediated allergies are one of the major public health problems in Finland and other Western countries. These diseases are characterized by type 2 T helper (Th2) cell predominated immune responses (interleukin-4 (IL-4), IL-5) against ubiquitous environmental allergens. Despite of adequate pharmacological treatment, more than 20% of the patients with allergic rhinitis develop asthma. Allergen specific immunotherapy (SIT) is the only treatment currently available to affect to the natural course of allergic diseases. This treatment involves repeated administration of allergens to the patients either via sublingual route (sublingual immunotherapy, SLIT) or by subcutaneous injections (subcutaneous immunotherapy, SCIT). Successful treatment with SCIT or SLIT has been shown to provide long-term remission in symptoms, and prevent disease progression to asthma, but the immunological mechanisms behind these beneficial effects are not yet completely understood. Increased knowledge of such mechanisms could not only help to improve SIT efficacy, but also provide tools to monitor the development of clinical response to SIT in individual patients, and possibly also, predict the ultimate therapeutic outcome. The aim of this work was to clarify the immunological mechanisms associated with SIT by investigating the specific allergen-induced immune responses in peripheral blood mononuclear cells (PBMC) of allergic rhinitis patients during the course of SLIT and SCIT. The results of this work demonstrate that both therapies induced increases in the protective, Th2-balancing Th1 type immune responses in PBMC, e.g. by up-regulating signaling lymphocytic activation molecule (SLAM) and interferon gamma (IFN-γ) expression, and augmented tolerogenic T regulatory (Treg) cell type responses against the specific allergens, e.g. by increasing IL-10 or Forkhead box P3 (FOXP3) expression. The induction of allergen-specific Th1 and Treg type responses during SLIT were dependent on the treatment dose, favoring high allergen dose SLIT. During SCIT, the early decrease in Th2 type cytokine production - in particular of IL-4 mRNA and IL-4/IFN-γ expression ratio - was associated with the development of good therapeutic outcome. Conversely, increases in both Th2 (IL-5) and Th1 (IFN-γ, SLAM) type responses and IL-10 mRNA production were seen in the patients with less effective outcome. In addition, increase in Th17 type cytokine (IL-17) mRNA production was found in the PBMC of patients with less effective outcome during both SLIT and SCIT. These data strengthen the current hypothesis that immunomodulation of allergen-specific immune responses from the prevailing Th2-biased responses towards a more Th1 type, and induction of tolerogenic Treg cells producing IL-10 represent the two key mechanisms behind the beneficial effects of SIT. The data also give novel insight into the mechanisms why SIT may fail to be effective in some patients by demonstrating a positive correlation between the proinflammatory IL-17 responses, Th2 type IL-5 production and clinical symptoms. Taken together, these data indicate that the analysis of Th1, Th2, Treg ja Th17-associated immune markers such as IL-10, SLAM, IL-4, IL-5 and IL-17 could provide tools to monitor the development of clinical response to SIT, and thereby, predict the ultimate clinical outcome already in the early course of the treatment.

Candidate counterparts to the soft gamma-ray flare in the direction od LSI+61303

A short duration burst reminiscent of a soft gamma-ray repeater/anomalous X-ray pulsar behaviour was detected in the direction of LS I +61 303 by the Swift satellite. While the association with this well known gamma-ray binary is likely, a different origin cannot be excluded. Aims. We explore the error box of this unexpected flaring event and establish the radio, near-infrared and X-ray sources in our search for any peculiar alternative counterpart. Methods. We carried out a combined analysis of archive Very Large Array radio data of LS I +61 303 sensitive to both compact and extended emission. We also reanalysed previous near infrared observations with the 3.5 m telescope of the Centro Astronómico Hispano Alemán and X-ray observations with the Chandra satellite. Results. Our deep radio maps of the LS I +61 303 environment represent a significant advancement on previous work and 16 compact radio sources in the LS I +61 303 vicinity are detected. For some detections, we also identify near infrared and X-ray counterparts. Extended emission features in the field are also detected and confirmed. The possible connection of some of these sources with the observed flaring event is considered. Based on these data, we are unable to claim a clear association between the Swift-BAT flare and any of the sources reported here. However, this study represents the most sophisticated attempt to determine possible alternative counterparts other than LS I +61 303.

Control d'un sistema de marcatge làser de caixes

Avui en dia, l’alta competitivitat que existeix al mercat, fa que les empreses hagin d’esprémer al màxim les seves possibilitats per no quedar-se enrere. Un dels processos en que aquest fet hi és més present és el productiu. L’empresa JCM Technologies també engloba aquest camp i és en un dels seus processos productius on aquest projecte pren part. L’objectiu d’aquest projecte final de carrera ha estat desenvolupar un sistema per poder marcar caixes mitjançant un làser de CO2 i un automatisme manipulador de caixes. D’aquesta manera aquest procés productiu té una durada molt inferior a l’antic procés, que consistia en enganxar una etiqueta al lloc on ara és marcat pel làser. Per satisfer els objectius, s’ha creat una aplicació de Windows que per mitjà d’una interfície gràfica, permet a l’usuari realitzar els passos necessaris per fer el marcatge. Primerament es recullen les dades procedents de la comanda; seguidament es seleccionen les que s’han de marcar a les caixes i s’envien al làser mitjançant comunicació sèrie; una vegada aquesta inicialització ha finalitzat correctament, s’engega la seqüència de marcatge de les caixes, que en marcarà la quantitat indicada. Aquest procés de marcatge consisteix en supervisar l’estat en que es troben certes senyals, procedents de l’automatisme i del làser, i depenent d’aquestes generar-ne unes altres. Aconseguint així realitzar el procés de marcatge de cada caixa. Com a conclusions cal dir, que els objectius s’han complert, ja que s’ha aconseguit un procés de marcatge ràpid i robust. També s’ha aconseguit que les parts de configuració de l’aplicació, i de les caixes siguin de fàcil manipulació. Per tant, amb l’acompliment dels objectius d’aquest projecte, aconseguim completar el sistema de marcatge, i permetre que les caixes siguin marcades de forma correcta, ràpida i eficient.

MCMC Analysis Of Classical Time Series Algorithms

Identification of order of an Autoregressive Moving Average Model (ARMA) by the usual graphical method is subjective. Hence, there is a need of developing a technique to identify the order without employing the graphical investigation of series autocorrelations. To avoid subjectivity, this thesis focuses on determining the order of the Autoregressive Moving Average Model using Reversible Jump Markov Chain Monte Carlo (RJMCMC). The RJMCMC selects the model from a set of the models suggested by better fitting, standard deviation errors and the frequency of accepted data. Together with deep analysis of the classical Box-Jenkins modeling methodology the integration with MCMC algorithms has been focused through parameter estimation and model fitting of ARMA models. This helps to verify how well the MCMC algorithms can treat the ARMA models, by comparing the results with graphical method. It has been seen that the MCMC produced better results than the classical time series approach.

Floculação de Chlorella sp. produzida em concentrado de dessalinização e estudo de método de extração de lipídeos intracelulares

Chlorella sp. was used to assess algal lipid production with concentrated desalination. In order to investigate the action of the flocculating agent calcium chloride and pH, a Box-Behnken Design and a Central Composite Design (CCD) were carried out. Also, Soxhlet and Supercritical Fluid Extraction (SFE), with and without sonication lipid extraction methods, were examined. The optimal flocculation conditions were pH 10.0 and 2.0 g/L of calcium chloride concentration. The highest lipid content of Chlorella sp. was obtained using the Soxhlet extraction method. The most abundant fatty acid extracted by Soxhlet and SFE, with and without sonication, was palmitic acid, whose proportions were 57.4%, 35.3% and 25.5%, respectively.

Molecular characterization of Brazilian strains of Xanthomonas campestris pv. viticola by rep-PCR fingerprinting

Bacterial canker of grapevine (Vitis vinifera), caused by Xanthomonas campestris pv. viticola was first detected in Brazil in 1998, affecting grapevines in the São Francisco river basin, state of Pernambuco. The disease was also reported in Juazeiro, Bahia and later in Piauí and Ceará. Due to its limited geographical distribution and relatively recent detection in Brazil, very little is known about the pathogen's biology and diversity. Repetitive DNA based-PCR (rep-PCR) profiles were generated from purified bacterial DNA of 40 field strains of X. campestris pv. viticola, collected between 1998 and 2001 in the states of Pernambuco, Bahia and Piauí. Combined analysis of the PCR patterns obtained with primers REP, ERIC and BOX, showed a high degree of similarity among Brazilian strains and the Indian type strain NCPPB 2475. Similar genomic patterns with several diagnostic bands, present in all strains, could be detected. Fingerprints were distinct from those of strains representing other pathovars and from a yellow non-pathogenic isolate from grape leaves. The polymorphism observed among the Brazilian strains allowed their separation into five subgroups, although with no correlation with cultivar of origin, geographic location or year collected.