890 resultados para Memory and resentment


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Memory and effector T cells have the potential to counteract cancer progression, but often fail to control the disease, essentially because of three main stumbling blocks. First, clonal deletion leads to relatively low numbers or low-to-intermediate T cell receptor (TCR) affinity of self/tumor-specific T cells. Second, the poor innate immune stimulation by solid tumors is responsible for inefficient priming and boosting. Third, T cells are suppressed in the tumor microenvironment by inhibitory signals from other immune cells, stroma and tumor cells, which induces T cell exhaustion, as demonstrated in metastases of melanoma patients. State-of-the-art adoptive cell transfer and active immunotherapy can partially overcome the three stumbling blocks. The reversibility of T cell exhaustion and novel molecular insights provide the basis for further improvements of clinical immunotherapy.

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Sensor networks have many applications in monitoring and controlling of environmental properties such as sound, acceleration, vibration and temperature. Due to limitedresources in computation capability, memory and energy, they are vulnerable to many kinds of attacks. The ZigBee specification based on the 802.15.4 standard, defines a set of layers specifically suited to sensor networks. These layers support secure messaging using symmetric cryptographic. This paper presents two different ways for grabbing the cryptographic key in ZigBee: remote attack and physical attack. It also surveys and categorizes some additional attacks which can be performed on ZigBee networks: eavesdropping, spoofing, replay and DoS attacks at different layers. From this analysis, it is shown that some vulnerabilities still in the existing security schema in ZigBee technology.

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The research of condition monitoring of electric motors has been wide for several decades. The research and development at universities and in industry has provided means for the predictive condition monitoring. Many different devices and systems are developed and are widely used in industry, transportation and in civil engineering. In addition, many methods are developed and reported in scientific arenas in order to improve existing methods for the automatic analysis of faults. The methods, however, are not widely used as a part of condition monitoring systems. The main reasons are, firstly, that many methods are presented in scientific papers but their performance in different conditions is not evaluated, secondly, the methods include parameters that are so case specific that the implementation of a systemusing such methods would be far from straightforward. In this thesis, some of these methods are evaluated theoretically and tested with simulations and with a drive in a laboratory. A new automatic analysis method for the bearing fault detection is introduced. In the first part of this work the generation of the bearing fault originating signal is explained and its influence into the stator current is concerned with qualitative and quantitative estimation. The verification of the feasibility of the stator current measurement as a bearing fault indicatoris experimentally tested with the running 15 kW induction motor. The second part of this work concentrates on the bearing fault analysis using the vibration measurement signal. The performance of the micromachined silicon accelerometer chip in conjunction with the envelope spectrum analysis of the cyclic bearing faultis experimentally tested. Furthermore, different methods for the creation of feature extractors for the bearing fault classification are researched and an automatic fault classifier using multivariate statistical discrimination and fuzzy logic is introduced. It is often important that the on-line condition monitoring system is integrated with the industrial communications infrastructure. Two types of a sensor solutions are tested in the thesis: the first one is a sensor withcalculation capacity for example for the production of the envelope spectra; the other one can collect the measurement data in memory and another device can read the data via field bus. The data communications requirements highly depend onthe type of the sensor solution selected. If the data is already analysed in the sensor the data communications are needed only for the results but in the other case, all measurement data need to be transferred. The complexity of the classification method can be great if the data is analysed at the management level computer, but if the analysis is made in sensor itself, the analyses must be simple due to the restricted calculation and memory capacity.

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Technological development brings more and more complex systems to the consumer markets. The time required for bringing a new product to market is crucial for the competitive edge of a company. Simulation is used as a tool to model these products and their operation before actual live systems are built. The complexity of these systems can easily require large amounts of memory and computing power. Distributed simulation can be used to meet these demands. Distributed simulation has its problems. Diworse, a distributed simulation environment, was used in this study to analyze the different factors that affect the time required for the simulation of a system. Examples of these factors are the simulation algorithm, communication protocols, partitioning of the problem, distributionof the problem, capabilities of the computing and communications equipment and the external load. Offices offer vast amounts of unused capabilities in the formof idle workstations. The use of this computing power for distributed simulation requires the simulation to adapt to a changing load situation. This requires all or part of the simulation work to be removed from a workstation when the owner wishes to use the workstation again. If load balancing is not performed, the simulation suffers from the workstation's reduced performance, which also hampers the owner's work. Operation of load balancing in Diworse is studied and it is shown to perform better than no load balancing, as well as which different approaches for load balancing are discussed.

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Modesto Lafuente fue el autor de la Historia General de España , una obra que puede considerarse como paradigmática de las historias nacionales que surgieron en Europa a en el siglo XIX. Además de ser un hombre de letras muy reconocido y de contribuir a la profesionalización de la historiografía española, Lafuente fue diputado hasta su muerte en 1866. Su historiografía ligaba pasado y presente para construir una identidad nacional. Con ella buscaba dar una legitimidad al nuevo proyecto social que se iniciaba a partir del reinado de Isabel II. Los capítulos dedicados a la transición de los Austrias a los Borbones, en los que se abordan temas como el reinado de Carlos II, la guerra de Sucesión o las reformas de Felipe V, pueden interpretarse como una lectura romántica, teleológica y presentista. En definitiva, su narración del pasado histórico contribuyó a formar una memoria oficial, y por tanto debe considerarse una pieza clave para la identidad del nuevo Estado- nación español.

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Background: Parallel T-Coffee (PTC) was the first parallel implementation of the T-Coffee multiple sequence alignment tool. It is based on MPI and RMA mechanisms. Its purpose is to reduce the execution time of the large-scale sequence alignments. It can be run on distributed memory clusters allowing users to align data sets consisting of hundreds of proteins within a reasonable time. However, most of the potential users of this tool are not familiar with the use of grids or supercomputers. Results: In this paper we show how PTC can be easily deployed and controlled on a super computer architecture using a web portal developed using Rapid. Rapid is a tool for efficiently generating standardized portlets for a wide range of applications and the approach described here is generic enough to be applied to other applications, or to deploy PTC on different HPC environments. Conclusions: The PTC portal allows users to upload a large number of sequences to be aligned by the parallel version of TC that cannot be aligned by a single machine due to memory and execution time constraints. The web portal provides a user-friendly solution.

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CORBA (Common Object Request Broker Architecture) on laajalle levinnyt ja teollisuudessa yleisesti käytetty hajautetun tietojenkäsittelyn arkkitehtuuri. CORBA skaalautuu eri kokoisiin tarpeisiin ja sitä voidaan hyödynntää myös sulautetuissa langattomissa laitteissa. Oleellista sulautetussa ympäristössä on rakentaa rajapinnat kevytrakenteisiksi, pysyviksi ja helposti laajennettaviksi ilman että yhteensopivuus aikaisempiin rajapintoihin olisi vaarassa. Langattomissa laitteissa resurssit, kuten muistin määrä ja prosessointiteho, ovat hyvin rajalliset, joten rajapinta tulee suunnitella ja toteuttaa optimaalisesti. Palveluiden tulee ottaa huomioon myös langattomuuden rajoitukset, kuten hitaat tiedonsiirtonopeudet ja tiedonsiirron yhteydettömän luonteen. Työssä suunniteltiin ja toteutettiin CORBA-rajapinta GSM-päätelaitteeseen, jonka on todettu täyttävän sille asetetut tavoitteet. Rajapinta tarjoaa kaikki yleisimmät GSM-terminaalin ominaisuudet ja on laajennettavissa tulevia tuotteita ja verkkotekniikoita varten. Laajennettavuutta saavutetaan esimerkiksi kuvaamalla terminaalin ominaisuudet yleisellä kuvauskielellä, kuten XML:lla (Extensible Markup Language).

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OBJECTIVES: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). METHODS: Forty-two MCI patients and 77 healthy controls (HC) underwent T1/T2* relaxometry as well as Magnetization Transfer (MT) MRI. Between-groups comparisons in MRI metrics were performed using permutation-based tests. Using MRI data, a generalized linear model (GLM) was computed to predict clinical performance and a support-vector machine (SVM) classification was used to classify MCI and HC subjects. RESULTS: Multi-parametric MRI data showed microstructural brain alterations in MCI patients vs HC that might be interpreted as: (i) a broad loss of myelin/cellular proteins and tissue microstructure in the hippocampus (p ≤ 0.01) and global white matter (p < 0.05); and (ii) iron accumulation in the pallidus nucleus (p ≤ 0.05). MRI metrics accurately predicted memory and executive performances in patients (p ≤ 0.005). SVM classification reached an accuracy of 75% to separate MCI and HC, and performed best using both volumes and T1/T2*/MT metrics. CONCLUSION: Multi-contrast MRI appears to be a promising approach to infer pathophysiological mechanisms leading to brain tissue alterations in MCI. Likewise, parametric MRI data provide powerful correlates of cognitive deficits and improve automatic disease classification based on morphometric features.

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BACKGROUND: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast "connectometry" approach to assess the structural and functional integrity of cerebellar networks and connectivity in early MS. METHODS: We used diffusion spectrum and resting-state functional MRI (rs-fMRI) to establish the structural and functional cerebellar connectomes in 28 early relapsing-remitting MS patients and 16 healthy controls (HC). We performed multicontrast "connectometry" by quantifying multiple MRI parameters along the structural tracts (generalized fractional anisotropy-GFA, T1/T2 relaxation times and magnetization transfer ratio) and functional connectivity measures. Subsequently, we assessed multivariate differences in local connections and network properties between MS and HC subjects; finally, we correlated detected alterations with lesion load, disease duration, and clinical scores. RESULTS: In MS patients, a subset of structural connections showed quantitative MRI changes suggesting loss of axonal microstructure and integrity (increased T1 and decreased GFA, P < 0.05). These alterations highly correlated with motor, memory and attention in patients, but were independent of cerebellar lesion load and disease duration. Neither network organization nor rs-fMRI abnormalities were observed at this early stage. CONCLUSION: Multicontrast cerebellar connectometry revealed subtle cerebellar alterations in MS patients, which were independent of conventional disease markers and highly correlated with patient function. Future work should assess the prognostic value of the observed damage. Hum Brain Mapp 36:1609-1619, 2015. © 2014 Wiley Periodicals, Inc.

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We describe the case of a patient with pure verbal palinacousis and perseveration of inner speech after a right inferior temporal lesion. The superior temporal lobe, including the superior temporal sulcus and the interhemispheric connection between the 2 superior temporal lobes, explored by tractography, were preserved. These regions are involved in voice processing, verbal short-term memory and inner speech. It can then be hypothesised that abnormal activity in this network has occurred. Palinacousis and 'palinendophonia', a term proposed for this symptom not previously reported, may be due to common cognitive processes disorders involved in both voice hearing and inner speech.

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El següent treball tracta sobre les principals relacions existents entre la memòria i les emocions. Una vegada revisats els dos conceptes de manera separada, el nostre objectiu serà vincular els dos conceptes, per tal de saber com influeixen les emocions en el processos mnèmics com són la codificació, la consolidació i el record. Per assolir aquest objectiu, també realitzarem una part empírica en la qual prendrem com a referent la teoria de la Memòria Dependent de l'Estat d'Ànim proposada per Bower (1981). En la línia d'aquesta teoria, la hipòtesi general que ens plantegem a la part empírica és que si induïm a un subjecte a un estat d'ànim determinat i li fem aprendre un llistat de paraules amb diferent valència emocional, recordarà millor les paraules que coincideixin amb l'estat afectiu del subjecte en el moment de l'aprenentatge. Per a resoldre aquesta hipòtesi prendrem com a referent el disseny experimental de Meilan, Carro, Guerrero, Carpi, Gómez & Palmero (2012). Els nostres resultats recolzen les hipòtesis basades en la teoria de congruència afectiva de Bower (1981) i, parcialment el disseny d'investigació de Meilan et. al (2012).

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Body percussion using to the BAPNE method is a means of cognitive stimulation with multiple applications. The aim of this research is to assess their full potential as a source of therapy. The methodology used is theoretical in nature and makes use of a wide bibliography to find evidence for its therapeutic effect. In essence, body percussion can be seen to lead to improvements in three areas. the Physical, as it stimulates awareness of the body, control of movement and muscular strength, coordination and balance; the Mental, as it improves concentration, memory and perception; and finally Socio-affective, as it helps to build egalitarian relationships and leads to a decrease in anxiety in social interactions. This means of therapy has several different uses and it is targeted at different groups. In the present investigation we categorise them into five main groups: individuals with neurodegenerative diseases like Alzheimer's or Parkinson's disease; individuals with learning disorders such as dyslexia or ADHD; patients affected by diseases of the spinal cord, cranial neuropathies and trauma (Neurorehabilitation); and for the treatment of addictive behavior (addiction); and depressive disorders or anxiety disorders.After thorough analysis, we have found scientific evidence that the therapeutic body percussion using the BAPNE method improves the quality of life of patients and it is an important factor in stabilizing the development of different diseases.In addition, evidence involving certain biological indicators (in control and experimental groups, and through a pre-test and post-test) show its effect on levels of stress and anxiety (reduction of cortisol), as well as improvement of social relations as a result of working as a group (increased levels of oxytocin), and improvements seen in self-esteem and in a variety of personal aspects through the Aspects of Identity questionnaire.

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Le self est une notion polysémique qui fait l'objet d'un consensus relatif dans plusieurs domaines, dont la psychologie du développement. Elle rend compte de la faculté de s'éprouver le même au fil du temps et de distinguer le « je » qui regarde du « moi » regardé. C'est le garant d'un sens de soi plus ou moins cohérent au fil du temps, en dépit des changements qui surviennent au cours de la vie. Le self combine des processus de réflexivité et d'intersubjectivité. Nous en avons analysé trois composantes fonctionnelles : la mémoire de travail, la mémoire épisodique et la narration, à partir d'un protocole expérimental témoignant de son ontogenèse chez des enfants de 6 à 9 ans (n=24 répartis en deux groupes de 6‐7 et 8-9 ans). Nous avons créé le « jeu informatique du lutin » qui propose un parcours semiorienté dans un monde imaginaire. C'est une narration de soi, opérant la mise en sens des temporalités et des espaces auxquels les événements se réfèrent. Deux semaines après cette « aventure », on recueille la narration des souvenirs épisodiques de cette histoire. Nous avons également utilisé un test de mémoire de travail visuospatiale non verbale. Des différences développementales affectent les dimensions narratives de la mémoire de l'épisode du jeu, comme l'efficacité de la mémoire de travail visuospatiale. Ces développements témoignent d'une augmentation de « l'épaisseur temporelle de la conscience» entre 6 et 9 ans. L'épaisseur de la conscience renvoie fondamentalement à la faculté du self de vivre le temps dans une cyclicité incluant le passé, le présent et le futur anticipé. Le développment observé élargit les possibilités de mettre en lien des mémoires et des scénarios futurs, tout comme les mises en sens des relations aux autres et à soi-­même. Self is a polysemic concept of common use in various scientific fields, among which developmental psychology. It accounts for the capacity to maintain the conviction to be « oneself », always the same through circumstances and throughout my life. This important function contributes in maintaining coherence and some sorte of Ariadne's thread in memory. To analyse the ontogeny of the self, we have focused upon three components : working memory, episodic memory and narration in children aged between 6 and 9 years. We used a non verbal working memory task. It was completed by a video game specially designed for our purpose, in which children were engaged in moving an elf in a landscape changing through seasons, in order to deliver a princess from a mischievous wizard. Two weeks after the game, the children had to tell what happened while they moved the elf. It is a self-narrative that creates a link‐up of temporality and spaces to which the events refer. The narrated episode was assessed for its coherence and continuity dimensions. Developmental differences affect the narrative dimensions of the memory of the episode of the game, as the effectiveness of visuospatial working memory. These developments show an increase in "temporal thickness of consciousness" between 6 and 9 years. The thickness of consciousness basically refers to the ability of the self to live in a cyclical time including past, present and anticipated future. The observed development broadens the possibilities to link memories and future scenarios, like setting sense of relations with others and with oneself.

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Des dels inicis dels ordinadors com a màquines programables, l’home ha intentat dotar-los de certa intel•ligència per tal de pensar o raonar el més semblant possible als humans. Un d’aquests intents ha sigut fer que la màquina sigui capaç de pensar de tal manera que estudiï jugades i guanyi partides d’escacs. En l’actualitat amb els actuals sistemes multi tasca, orientat a objectes i accés a memòria i gràcies al potent hardware del que disposem, comptem amb una gran varietat de programes que es dediquen a jugar a escacs. Però no hi ha només programes petits, hi ha fins i tot màquines senceres dedicades a calcular i estudiar jugades per tal de guanyar als millors jugadors del món. L’objectiu del meu treball és dur a terme un estudi i implementació d’un d’aquests programes, per això es divideix en dues parts. La part teòrica o de l’estudi, consta d’un estudi dels sistemes d’intel•ligència artificial que es dediquen a jugar a escacs, estudi i cerca d’una funció d’avaluació vàlida i estudi dels algorismes de cerca. La part pràctica del treball es basa en la implementació d’un sistema intel•ligent capaç de jugar a escacs amb certa lògica. Aquesta implementació es porta a terme amb l’ajuda de les llibreries SDL, utilitzant l’algorisme minimax amb poda alfa-beta i codi c++. Com a conclusió del projecte m’agradaria remarcar que l’estudi realitzat m’ha deixat veure que crear un joc d’escacs no era tan fàcil com jo pensava però m’ha aportat la satisfacció d’aplicar tot el que he après durant la carrera i de descobrir moltes altres coses noves.

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