Spatial processing for frequency diversity schemes

A novel technique to obtain optimum blind spatialprocessing for frequency diversity spread spectrum (FDSS) communicationsystems is introduced. The sufficient statistics for alinear combiner, which prove ineffective due to the interferers frequencycharacteristics, are modified to yield improved detectionunder partial jamming in the spectral domain. Robustness to partialtime jamming is achieved by extending the notion of replicasover the frequency axis to a repetition over the time variable. Analysisand simulations are provided, showing the advantages of usingFDSS with spatial diversity to combat the interference when it isconfined to a narrow frequency band or short time interval relativeto the desired signal extent in either domain.

Probabilistic algorithms for blind adaptive multiuser detection

In this paper, two probabilistic adaptive algorithmsfor jointly detecting active users in a DS-CDMA system arereported. The first one, which is based on the theory of hiddenMarkov models (HMM’s) and the Baum–Wech (BW) algorithm,is proposed within the CDMA scenario and compared withthe second one, which is a previously developed Viterbi-basedalgorithm. Both techniques are completely blind in the sense thatno knowledge of the signatures, channel state information, ortraining sequences is required for any user. Once convergencehas been achieved, an estimate of the signature of each userconvolved with its physical channel response (CR) and estimateddata sequences are provided. This CR estimate can be used toswitch to any decision-directed (DD) adaptation scheme. Performanceof the algorithms is verified via simulations as well as onexperimental data obtained in an underwater acoustics (UWA)environment. In both cases, performance is found to be highlysatisfactory, showing the near–far resistance of the analyzed algorithms.

Statistical reference criteria for adaptive signal processing in digital communications

A general criterion for the design of adaptive systemsin digital communications called the statistical reference criterionis proposed. The criterion is based on imposition of the probabilitydensity function of the signal of interest at the outputof the adaptive system, with its application to the scenario ofhighly powerful interferers being the main focus of this paper.The knowledge of the pdf of the wanted signal is used as adiscriminator between signals so that interferers with differingdistributions are rejected by the algorithm. Its performance isstudied over a range of scenarios. Equations for gradient-basedcoefficient updates are derived, and the relationship with otherexisting algorithms like the minimum variance and the Wienercriterion are examined.

Wigner higher-order spectra: definition, properties, computation and application to transient signal analysis

The Wigner higher order moment spectra (WHOS)are defined as extensions of the Wigner-Ville distribution (WD)to higher order moment spectra domains. A general class oftime-frequency higher order moment spectra is also defined interms of arbitrary higher order moments of the signal as generalizations of the Cohen’s general class of time-frequency representations. The properties of the general class of time-frequency higher order moment spectra can be related to theproperties of WHOS which are, in fact, extensions of the properties of the WD. Discrete time and frequency Wigner higherorder moment spectra (DTF-WHOS) distributions are introduced for signal processing applications and are shown to beimplemented with two FFT-based algorithms. One applicationis presented where the Wigner bispectrum (WB), which is aWHOS in the third-order moment domain, is utilized for thedetection of transient signals embedded in noise. The WB iscompared with the WD in terms of simulation examples andanalysis of real sonar data. It is shown that better detectionschemes can be derived, in low signal-to-noise ratio, when theWB is applied.

ML estimator and hybrid beamformer for multipath and interference mitigation in GNSS receivers

This paper addresses the estimation of the code-phase(pseudorange) and the carrier-phase of the direct signal received from a direct-sequence spread-spectrum satellite transmitter. Thesignal is received by an antenna array in a scenario with interferenceand multipath propagation. These two effects are generallythe limiting error sources in most high-precision positioning applications.A new estimator of the code- and carrier-phases is derivedby using a simplified signal model and the maximum likelihood(ML) principle. The simplified model consists essentially ofgathering all signals, except for the direct one, in a component withunknown spatial correlation. The estimator exploits the knowledgeof the direction-of-arrival of the direct signal and is much simplerthan other estimators derived under more detailed signal models.Moreover, we present an iterative algorithm, that is adequate for apractical implementation and explores an interesting link betweenthe ML estimator and a hybrid beamformer. The mean squarederror and bias of the new estimator are computed for a numberof scenarios and compared with those of other methods. The presentedestimator and the hybrid beamforming outperform the existingtechniques of comparable complexity and attains, in manysituations, the Cramér–Rao lower bound of the problem at hand.

On the Condition Monitoring of Induction machines

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.

Lon protease negatively affects GacA protein stability and expression of the Gac/Rsm signal transduction pathway in Pseudomonas protegens.

In Pseudomonas protegens CHA0 and other fluorescent pseudomonads, the Gac/Rsm signal transduction pathway controls secondary metabolism and suppression of fungal root pathogens via the expression of regulatory small RNAs (sRNAs). Because of its high cost, this pathway needs to be protected from overexpression and to be turned off in response to environmental stress such as the lack of nutrients. However, little is known about its underlying molecular mechanisms. In this study, we demonstrated that Lon protease, a member of the ATP-dependent protease family, negatively regulated the Gac/Rsm cascade. In a lon mutant, the steady-state levels and the stability of the GacA protein were significantly elevated at the end of exponential growth. As a consequence, the expression of the sRNAs RsmY and RsmZ and that of dependent physiological functions such as antibiotic production were significantly enhanced. Biocontrol of Pythium ultimum on cucumber roots required fewer lon mutant cells than wild-type cells. In starved cells, the loss of Lon function prolonged the half-life of the GacA protein. Thus, Lon protease is an important negative regulator of the Gac/Rsm signal transduction pathway in P. protegens.

Personality traits are associated with acute major depression across the age spectrum.

Objectives: Psychological predictors, such as personality traits, have aroused growing interest as possible predictors of late-life depression outcome in old age. It remains, however, unclear whether the cross-sectional relationship between personality traits and depression occurrence reported in younger samples is also present in the elderly. Methods: Comparisons amongst 79 outpatients with DSM-IV major depression and 102 healthy controls included assessment of the five-factor model of personality (NEO PI-R), socio-demographic variables, physical health status, as well as depression features. Two sub-groups were considered, defined as young (25-50 years) and old (60-85 years) patients. Results: Depressed patients showed significantly higher levels of Neuroticism and lower levels of Extraversion, Openness to Experience and Conscientiousness compared to controls. Sequential logistic regression models confirmed that the combination of increased physical burden, levels of dependency, and increased Neuroticism strongly predicts the occurrence of acute depressive symptoms. In contrast, the levels of Neuroticism did not allow for differentiating late-life from young age depression. Increased physical burden and decreased depression severity were the main predictors for this distinction. Conclusion: Our data indicate that personality factors and depression are related, independently of patients' age. Differences in this relationship are mainly due to the intensity of depressive symptoms rather than the patients' life period. They also stress the need to consider physical health, level of dependency and severity of symptoms when studying the relationship between personality traits and mood disorders.

Spectrum of ocular digoxin toxicity in the elderly: A case report

Introduction: We report a case of digoxin intoxication with severe visual symptoms. Patients (or Materials) and Methods: Digoxin 0.25 mg QD for atrial fibrillation was prescribed to a 91-year-old woman with an estimated creatinine clearance of 18 mL/min. Within 2 to 3 weeks, she developed nausea, vomiting, and dysphagia, and began complaining of snowy and blurry vision, photopsia, dyschromatopsia, aggravated bedtime visual and proprioceptive illusions (she felt as being on a boat), and colored hallucinations. She consulted her family doctor twice and visited the eye clinic once until, 1 month after starting digoxin, impaired autonomy led her to be admitted to the emergency department. Results: Digoxin intoxication was confirmed by a high plasma level measured on admission (5.7 μg/L; reference range, 0.8-2 μg/L). After stopping digoxin, general symptoms resolved in a few days, but visual symptoms persisted. Ophtalmologic care and follow-up diagnosed digoxin intoxication superimposed on pre-existing left eye (LE) cataract, dry age-related macular degeneration (DMLA), and Charles Bonnet syndrome. Visual acuity was 0.4 (right eye, RE) and 0.5 (LE). Ocular fundus was physiologic except for bilateral dry DMLA. Dyschromatopsia was confirmed by poor results on Ishihara test (1/13 OU). Computerized visual field results revealed nonspecific diffuse alterations. Full-field electroretinogram (ERG) showed moderate diffuse rod and cone dysfunction. Visual symptoms progressively improved over the next 2 months, but ERG did not. Complete resolution was not expected due to the pre-existing eye disease. The patient was finally discharged home after a 5-week hospital stay. Conclusion: Digoxin intoxication can go unrecognized by clinicians, even in a typical presentation. The range of potential visual symptoms is far greater than isolated xanthopsia (yellow vision) classically described in textbooks. Newly introduced drugs and all symptoms must be actively sought after, because they significantly affect quality of life and global functioning, especially in the elderly population, most liable not to mention them.

Phosphorylation of phosphatidylinositol-3-kinase-protein kinase B and extracellular signal-regulated kinases 1/2 mediate reoxygenation-induced cardioprotection during hypoxia.

In vivo exposure to chronic hypoxia (CH) depresses myocardial performance and tolerance to ischemia, but daily reoxyenation during CH (CHR) confers cardioprotection. To elucidate the underlying mechanism, we tested the role of phosphatidylinositol-3-kinase-protein kinase B (Akt) and p42/p44 extracellular signal-regulated kinases (ERK1/2), which are known to be associated with protection against ischemia/reperfusion (I/R). Male Sprague-Dawley rats were maintained for two weeks under CH (10% O(2)) or CHR (as CH but with one-hour daily exposure to room air). Then, hearts were either frozen for biochemical analyses or Langendorff-perfused to determine performance (intraventricular balloon) and tolerance to 30-min global ischemia and 45-min reperfusion, assessed as recovery of performance after I/R and infarct size (tetrazolium staining). Additional hearts were perfused in the presence of 15 micromol/L LY-294002 (inhibitor of Akt), 10 micromol/L UO-126 (inhibitor of ERK1/2) or 10 micromol/L PD-98059 (less-specific inhibitor of ERK1/2) given 15 min before ischemia and throughout the first 20 min of reperfusion. Whereas total Akt and ERK1/2 were unaffected by CH and CHR in vivo, in CHR hearts the phosphorylation of both proteins was higher than in CH hearts. This was accompanied by better performance after I/R (heart rate x developed pressure), lower end-diastolic pressure and reduced infarct size. Whereas the treatment with LY-294002 decreased the phosphorylation of Akt only, the treatment with UO-126 decreased ERK1/2, and that with PD-98059 decreased both Akt and ERK1/2. In all cases, the cardioprotective effect led by CHR was lost. In conclusion, in vivo daily reoxygenation during CH enhances Akt and ERK1/2 signaling. This response was accompanied by a complex phenotype consisting in improved resistance to stress, better myocardial performance and lower infarct size after I/R. Selective inhibition of Akt and ERK1/2 phosphorylation abolishes the beneficial effects of the reoxygenation. Therefore, Akt and ERK1/2 have an important role to mediate cardioprotection by reoxygenation during CH in vivo.

The Development of Weak Signal Concept

Tämän hetken trendit kuten globalisoituminen, ympäristömme turbulenttisuus, elintason nousu, turvallisuuden tarpeen kasvu ja teknologian kehitysnopeus korostavatmuutosten ennakoinnin tarpeellisuutta. Pysyäkseen kilpailukykyisenä yritysten tulee kerätä, analysoida ja hyödyntää liiketoimintatietoa, jokatukee niiden toimintaa viranomaisten, kilpailijoiden ja asiakkaiden toimenpiteiden ennakoinnissa. Innovoinnin ja uusien konseptien kehittäminen, kilpailijoiden toiminnan arviointi, asiakkaiden tarpeet muun muassa vaativatennakoivaa arviointia. Heikot signaalit ovat keskeisessä osassa organisaatioiden valmistautumisessa tulevaisuuden tapahtumiin. Opinnäytetyön tarkoitus on luoda ja kehittää heikkojen signaalien ymmärrystä ja hallintaa sekäkehittää konseptuaalinen ja käytännöllinen lähestymistapa ennakoivan toiminnan edistämiselle. Heikkojen signaalien tyyppien luokittelu perustuu ominaisuuksiin ajan, voimakkuuden ja liiketoimintaan integroinnin suhteen. Erityyppiset heikot signaalit piirteineen luovat reunaehdot laatutekijöiden keräämiselle ja siitä edelleen laatujärjestelmän ja matemaattiseen malliin perustuvan työvälineen kehittämiselle. Heikkojen signaalien laatutekijät on kerätty yhteen kaikista heikkojen signaalien konseptin alueista. Analysoidut ja kohdistetut laatumuuttujat antavat mahdollisuuden kehittää esianalyysiä ja ICT - työvälineitä perustuen matemaattisen mallin käyttöön. Opinnäytetyön tavoitteiden saavuttamiseksi tehtiin ensin Business Intelligence -kirjallisuustutkimus. Hiekkojen signaalien prosessi ja systeemi perustuvat koottuun Business Intelligence - systeemiin. Keskeisinä kehitysalueina tarkasteltiin liiketoiminnan integraatiota ja systemaattisen menetelmän kehitysaluetta. Heikkojen signaalien menetelmien ja määritelmien kerääminen sekä integrointi määriteltyyn prosessiin luovat uuden konseptin perustan, johon tyypitys ja laatutekijät kytkeytyvät. Käytännöllisen toiminnan tarkastelun ja käyttöönoton mahdollistamiseksi toteutettiin Business Intelligence markkinatutkimus (n=156) sekä yhteenveto muihin saatavilla oleviin markkinatutkimuksiin. Syvähaastatteluilla (n=21) varmennettiin laadullisen tarkastelun oikeellisuus. Lisäksi analysoitiin neljä käytännön projektia, joiden yhteenvedot kytkettiin uuden konseptin kehittämiseen. Prosessi voidaan jakaa kahteen luokkaan: yritysten markkinasignaalit vuoden ennakoinnilla ja julkisen sektorin verkostoprojektit kehittäen ennakoinnin struktuurin luonnin 7-15 vuoden ennakoivalle toiminnalle. Tutkimus rajattiin koskemaan pääasiassa ulkoisen tiedon aluetta. IT työvälineet ja lopullisen laatusysteemin kehittäminen jätettiin tutkimuksen ulkopuolelle. Opinnäytetyön tavoitteena ollut heikkojen signaalien konseptin kehittäminen toteutti sille asetetut odotusarvot. Heikkojen signaalien systemaattista tarkastelua ja kehittämistyötä on mahdollista edistää Business Intelligence - systematiikan hyödyntämisellä. Business Intelligence - systematiikkaa käytetään isojen yritysten liiketoiminnan suunnittelun tukena.Organisaatioiden toiminnassa ei ole kuitenkaan yleisesti hyödynnetty laadulliseen analyysiin tukeutuvaa ennakoinnin weak signals - toimintaa. Ulkoisenja sisäisen tiedon integroinnin ja systematiikan hyödyt PK -yritysten tukena vaativat merkittävää panostusta julkishallinnon rahoituksen ja kehitystoiminnan tukimuotoina. Ennakointi onkin tuottanut lukuisia julkishallinnon raportteja, mutta ei käytännön toteutuksia. Toisaalta analysoitujen case-tapausten tuloksena voidaan nähdä, ettei organisaatioissa välttämättä tarvita omaa projektipäällikköä liiketoiminnan tuen kehittämiseksi. Business vastuun ottamiseksi ja asiaan sitoutumiseen on kuitenkin löydyttävä oikea henkilö

Blood-Borne Circadian Signal Stimulates Daily Oscillations in Actin Dynamics and SRF Activity.

In peripheral tissues circadian gene expression can be driven either by local oscillators or by cyclic systemic cues controlled by the master clock in the brain's suprachiasmatic nucleus. In the latter case, systemic signals can activate immediate early transcription factors (IETFs) and thereby control rhythmic transcription. In order to identify IETFs induced by diurnal blood-borne signals, we developed an unbiased experimental strategy, dubbed Synthetic TAndem Repeat PROMoter (STAR-PROM) screening. This technique relies on the observation that most transcription factor binding sites exist at a relatively high frequency in random DNA sequences. Using STAR-PROM we identified serum response factor (SRF) as an IETF responding to oscillating signaling proteins present in human and rodent sera. Our data suggest that in mouse liver SRF is regulated via dramatic diurnal changes of actin dynamics, leading to the rhythmic translocation of the SRF coactivator Myocardin-related transcription factor-B (MRTF-B) into the nucleus.

Profiling of signal transduction in human memory T cells

Résumé pour un large public: La vaccination a eu un impact énorme sur la santé mondiale. Mais, quel est le principe d'un vaccin? Il est basé sur la 'mémoire immunologique', qui est une particularité exclusive des systèmes immunitaires des organismes évolués. Suite à une infection par un pathogène, des cellules spécialisées de notre système immunitaire (les lymphocytes) le reconnaissent et initient une réaction immunitaire qui a pour but son élimination. Pendant cette réaction se développent aussi des cellules, appelées cellules lymphocytaires mémoire, qui persistent pour longue durée et qui ont la capacité de stimuler une réaction immunitaire très efficace immédiatement après une seconde exposition à ce même pathogène. Ce sont ces cellules mémoires (lymphocytes B et T) qui sont à la base de la 'mémoire immunologique' et qui sont stimulées lors de la vaccination. Chez l'homme, deux populations distinctes des lymphocytes T mémoires ont été identifiées: les cellules centrales (CM) et effectrices (EM) mémoires. Ces populations sont fonctionnellement hétérogènes et exercent des rôles distincts et essentiels dans l'immunité protectrice. Typiquement, les cellules effectrices mémoires sont capables de tuer immédiatement le pathogène tandis que les cellules centrales mémoires sont responsables d'initier une réponse immunitaire complète. Pourtant, les mécanismes biochimiques qui contrôlent les fonctions de ces cellules ont été jusqu'à présent peu étudiés à cause de la faible fréquence de ces cellules et de la quantité limitée de tissus humains disponibles pour les analyses. La compréhension de ces mécanismes est cruciale pour la réalisation de vaccins efficaces et pour le développement de nouveaux médicaments capables de moduler la réponse immunitaire lymphocytaire. Dans cette thèse, nous avons d'abord développé et amélioré une technologie appelée 'protéine array en phase inverse' qui possède un niveau de sensibilité beaucoup plus élevé par rapport aux technologies classiquement utilisées dans l'étude des protéines. Grâce à cette technique, nous avons pu comparer la composition protéique du système de transmission des signaux d'activation des cellules CM et EM humaines. L'analyse de 8 à 13 sujets sains a montré que ces populations des cellules mémoires possèdent un système de signalisation protéique différent. En effet, les cellules EM possèdent, par rapport aux cellules CM, des niveaux réduits d'une protéine régulatrice (appelée c-Cbl) que nous avons démontré comme étant responsable des fonctions spécifiques de ces cellules. En effet, en augmentant artificiellement l'expression de cette protéine régulatrice dans les cellules EM jusqu'au niveau de celui des cellules CM, nous avons induit dans les cellules EM des capacités fonctionnelles caractéristiques des cellules CM. En conclusion, notre étude a identifié, pour la première fois chez l'homme, un mécanisme biochimique qui contrôle les fonctions des populations des cellules mémoires. Résumé en Français: Les cellules mémoires persistent inertes dans l'organisme et produisent des réactions immunitaires rapides et robustes contre les pathogènes précédemment rencontrés. Deux populations distinctes des cellules mémoires ont été identifiées chez l'homme: les cellules centrales (CM) et effectrices (EM) mémoires. Ces populations sont fonctionnellement hétérogènes et exercent des rôles distincts et critiques dans l'immunité protectrice. Les mécanismes biochimiques qui contrôlent leurs fonctions ont été jusqu'à présent peu étudiés, bien que leur compréhension soit cruciale pour le développement des vaccins et des nouveaux traitements/médicaments. Les limites majeures à ces études sont la faible fréquence de ces populations et la quantité limitée de tissus humains disponibles. Dans cette thèse nous avons d'abord développé et amélioré la technologie de 'protéine array en phase inverse' afin d'analyser les molécules de signalisation des cellules mémoires CD4 et CD8 humaines isolées ex vivo. L'excellente sensibilité, la reproductibilité et la linéarité de la détection, ont permis de quantifier des variations d'expression protéiques supérieures à 20% dans un lysat équivalent à 20 cellules. Ensuite, grâce à l'analyse de 8 à 13 sujets sains, nous avons prouvé que les cellules mémoires CD8 ont une composition homogène de leur système de signalisation tandis que les cellules CD4 EM expriment significativement de plus grandes quantités de SLP-76 et des niveaux réduits de c-Cbl, Syk, Fyn et LAT par rapport aux cellules CM. En outre, l'expression réduite du régulateur négatif c-Cbl est corrélée avec l'expression des SLP-76, PI3K et LAT uniquement dans les cellules EM. L'évaluation des propriétés fonctionnelles des cellules mémoires a permis de démontrer que l'expression réduite du c-Cbl dans les cellules EM est associé à une diminution de leur seuil d'activation. En effet, grâce a la technique de transduction cytosolique, nous avons augmenté la quantité de c-Cbl des cellules EM à un niveau comparable à celui des cellules CM et constaté une réduction de la capacité des cellules EM à proliférer et sécréter des cytokines. Ce mécanisme de régulation dépend principalement de l'activité d'ubiquitine ligase de c-Cbl comme démontré par l'impact réduit du mutant enzymatiquement déficient de c-Cbl sur les fonctions de cellules EM. En conclusion, cette thèse identifie c-Cbl comme un régulateur critique des réponses fonctionnelles des populations de cellules T mémoires et fournit, pour la première fois chez l'homme, un mécanisme contrôlant l'hétérogénéité fonctionnelle des ces cellules. De plus, elle valide l'utilisation combinée des 'RPP arrays' et de la transduction cytosolique comme outil puissant d'analyse quantitative et fonctionnel des protéines de signalisation. Summary : Memory cells persist in a quiescent state in the body and mediate rapid and vigorous immune responses toward pathogens previously encountered. Two subsets of memory cells, namely central (CM) and effector (EM) memory cells, have been identified in humans. These subsets display high functional heterogeneity and assert critical and distinct roles in the control of protective immunity. The biochemical mechanisms controlling their functional properties remain so far poorly investigated, although their clarification is crucial for design of effective T-cell vaccine and drug development. Major limitations to these studies lie in the low frequency of memory T cell subsets and the limited amount of human specimen available. In this thesis we first implemented the innovative reverse phase protein array approach to profile 15 signalling components in human CD8 and CD4 memory T cells isolated ex vivo. The high degree of sensitivity, reproducibility and linearity achieved, allowed an excellent quantification of variations in protein expression higher than 20% in as few as 20-cell equivalent per spot. Based on the analysis of 8 to 13 healthy subjects, we showed that CD8 memory cells have a homogeneous composition of their signaling machinery while CD4 EM cells express statistically significant increased amounts of SLP-76 and reduced levels of c- Cbl, Syk, Fyn and LAT as compared to CM cells. Moreover, in EM but not CM cells, reduced expression of negative regulator c-Cbl correlated with the expression of SLP-76, PI3K and LAT. Subsequently, we demonstrated that the higher functional properties and the lower functional threshold of EM cells is associated with reduced expression of c-Cbl. Indeed, by increasing c-Cbl content of EM cells to the same level of CM cells using cytosolic transduction, we impaired their proliferation and cytokine production. This regulatory mechanism was primarily dependent on c-Cbl E3 ubiquitin ligase activity as evidenced by the weaker impact of enzymatically deficient c-Cbl C381A mutant on EM cell functions. Together, these results identify c-Cbl as a critical regulator of the functional responses of memory T cell subsets and provides, for the first time in humans, a mechanism controlling the functional heterogeneity of memory CD4 cells. Moreover it validates the combined use of RPP arrays and cytosolic transduction approaches as a powerful tool to quantitatively analyze signalling proteins and functionally assess their roles.

Selecting Wavelet Filter for Compression of Spectra from Multispectral Images

The problem of selecting anappropriate wavelet filter is always present in signal compression based on thewavelet transform. In this report, we propose a method to select a wavelet filter from a predefined set of filters for the compression of spectra from a multispectral image. The wavelet filter selection is based on the Learning Vector Quantization (LVQ). In the training phase for the test images, the best wavelet filter for each spectrum has been found by a careful compression-decompression evaluation. Certain spectral features are used in characterizing the pixel spectra. The LVQ is used to form the best wavelet filter class for different types of spectra from multispectral images. When a new image is to be compressed, a set of spectra from that image is selected, the spectra are classified by the trained LVQand the filter associated to the largest class is selected for the compression of every spectrum from the multispectral image. The results show, that almost inevery case our method finds the most suitable wavelet filter from the pre-defined set for the compression.