The entry and clearance of Ca2+ at individual presynaptic active zones of hair cells from the bullfrog's sacculus.

Neurotransmitter is released when Ca2+ triggers the fusion of synaptic vesicles with the plasmalemma. To study factors that regulate Ca2+ concentration at the presynaptic active zones of hair cells, we used laser-scanning confocal microscopy with the fluorescent Ca2+ indicator fluo 3. The experimental results were compared with the predictions of a model of presynaptic Ca2+ concentration in which Ca2+ enters a cell through a point source, diffuses from the entry site, and binds to fixed or mobile Ca2+ buffers. The observed time course and magnitude of fluorescence changes under a variety of conditions were well fit when the model included mobile molecules as the only Ca2+ buffer. The results confirm the localized entry of Ca2+ underlying neurotransmitter release and suggest that Ca2+ is cleared from an active zone almost exclusively by mobile buffer.

Partitioning of reproduction in mother-daughter versus sibling associations : a test of optimal skew theory

A critical feature of cooperative animal societies is the reproductive skew, a shorthand term for the degree to which a dominant individual monopolizes overall reproduction in the group. Our theoretical analysis of the evolutionarily stable skew in matrifilial (i.e., mother-daughter) societies, in which relatednesses to offspring are asymmetrical, predicts that reproductive skews in such societies should tend to be greater than those of semisocial societies (i.e., societies composed of individuals of the same generation, such as siblings), in which relatednesses to offspring are symmetrical. Quantitative data on reproductive skews in semisocial and matrifilial associations within the same species for 17 eusocial Hymenoptera support this prediction. Likewise, a survey of reproductive partitioning within 20 vertebrate societies demonstrates that complete reproductive monopoly is more likely to occur in matrifilial than in semisocial societies, also as predicted by the optimal skew model.

Identifying Individual T Cell Receptors of Optimal Avidity for Tumor Antigens.

Cytotoxic T cells recognize, via their T cell receptors (TCRs), small antigenic peptides presented by the major histocompatibility complex (pMHC) on the surface of professional antigen-presenting cells and infected or malignant cells. The efficiency of T cell triggering critically depends on TCR binding to cognate pMHC, i.e., the TCR-pMHC structural avidity. The binding and kinetic attributes of this interaction are key parameters for protective T cell-mediated immunity, with stronger TCR-pMHC interactions conferring superior T cell activation and responsiveness than weaker ones. However, high-avidity TCRs are not always available, particularly among self/tumor antigen-specific T cells, most of which are eliminated by central and peripheral deletion mechanisms. Consequently, systematic assessment of T cell avidity can greatly help distinguishing protective from non-protective T cells. Here, we review novel strategies to assess TCR-pMHC interaction kinetics, enabling the identification of the functionally most-relevant T cells. We also discuss the significance of these technologies in determining which cells within a naturally occurring polyclonal tumor-specific T cell response would offer the best clinical benefit for use in adoptive therapies, with or without T cell engineering.

Information processing in sleep-onset insomnia : a test of the neurocognitive model /

The present thesis study is a systematic investigation of information processing at sleep onset, using auditory event-related potentials (ERPs) as a test of the neurocognitive model of insomnia. Insomnia is an extremely prevalent disorder in society resulting in problems with daytime functioning (e.g., memory, concentration, job performance, mood, job and driving safety). Various models have been put forth in an effort to better understand the etiology and pathophysiology of this disorder. One of the newer models, the neurocognitive model of insomnia, suggests that chronic insomnia occurs through conditioned central nervous system arousal. This arousal is reflected through increased information processing which may interfere with sleep initiation or maintenance. The present thesis employed event-related potentials as a direct method to test information processing during the sleep-onset period. Thirteen poor sleepers with sleep-onset insomnia and 1 2 good sleepers participated in the present study. All poor sleepers met the diagnostic criteria for psychophysiological insomnia and had a complaint of problems with sleep initiation. All good sleepers reported no trouble sleeping and no excessive daytime sleepiness. Good and poor sleepers spent two nights at the Brock University Sleep Research Laboratory. The first night was used to screen for sleep disorders; the second night was used to investigate information processing during the sleep-onset period. Both groups underwent a repeated sleep-onsets task during which an auditory oddball paradigm was delivered. Participants signalled detection of a higher pitch target tone with a button press as they fell asleep. In addition, waking alert ERPs were recorded 1 hour before and after sleep on both Nights 1 and 2.As predicted by the neurocognitive model of insomnia, increased CNS activity was found in the poor sleepers; this was reflected by their smaller amplitude P2 component seen during wake of the sleep-onset period. Unlike the P2 component, the Nl, N350, and P300 did not vary between the groups. The smaller P2 seen in our poor sleepers indicates that they have a deficit in the sleep initiation processes. Specifically, poor sleepers do not disengage their attention from the outside environment to the same extent as good sleepers during the sleep-onset period. The lack of findings for the N350 suggest that this sleep component may be intact in those with insomnia and that it is the waking components (i.e., Nl, P2) that may be leading to the deficit in sleep initiation. Further, it may be that the mechanism responsible for the disruption of sleep initiation in the poor sleepers is most reflected by the P2 component. Future research investigating ERPs in insomnia should focus on the identification of the components most sensitive to sleep disruption. As well, methods should be developed in order to more clearly identify the various types of insomnia populations in research contexts (e.g., psychophysiological vs. sleep-state misperception) and the various individual (personality characteristics, motivation) and environmental factors (arousal-related variables) that influence particular ERP components. Insomnia has serious consequences for health, safety, and daytime functioning, thus research efforts should continue in order to help alleviate this highly prevalent condition.

On the Individual Optimality of Economic Integration

Ce document est une version antérieure du document "On the Individual Optimality of Economic Integration", nov. 2015 : http://hdl.handle.net/1866/12794

On the individual optimality of economic integration

Which countries find it optimal to form an economic union? We emphasize the risk-sharing benefits of economic integration. Consider an endowment world economy model, where international financial markets are incomplete and contracts not enforceable. A union solves both frictions among member countries. We uncover conditions on initial incomes and net foreign assets of potential union members such that forming a union is welfare-improving over standing alone in the world economy. Consistently with evidence on economic integration, unions in our model occur (i) relatively infrequently, and (ii) emerge more likely among homogeneous countries, and (iii) rich countries.

On the individual optimality of economic integration

Ce document est une version mise-à-jour du document "On the individual optimality of economic integration", mars 2011 : http://hdl.handle.net/1866/4829

McMaster Model of Family Functioning: adattamento alla realtà italiana, implicazioni cliniche e di ricerca

Il presente lavoro comincia con una descrizione dettagliata del “McMaster Model of Family Functionig” (MMFF), modello che al suo interno integra una teoria multidimensionale sul funzionamento familiare, diversi strumenti di auto ed etero valutazione e chiare indicazioni terapeutiche racchiuse all’interno della “Problem Centered System Therapy of the Family” (PCSTF). Grazie alla sua completezza il Modello fornisce ai clinici metodi coerenti, pratici ed empiricamente validi per valutare e trattare le famiglie, essi inoltre, sono stati formulati in modo da essere adattabili a differenti setting clinici e di ricerca, applicabili ad un’ampia gamma di problematiche e verificabili empiricamente. Obiettivo finale della presente ricerca è stato quello di porre le basi per l’esportazione del MMFF in Italia e poter quindi procedere alla sua applicazione in ambito clinico. La ricerca è cominciata alla Brown University con la traduzione dall’inglese all’italiano del Family Assessment Device (FAD), uno degli strumenti di autovalutazione compresi nel MMFF, ed è in seguito continuata con la validazione del suddetto strumento in un campione di 317 soggetti appartenenti alla popolazione generale italiana. Il FAD si è dimostrato uno strumento valido ed affidabile, in grado quindi di fornire valutazioni stabili e coerenti anche nella sua versione italiana. Il passo successivo è stato caratterizzato dalla somministrazione di FAD, Symptom Questionnaire (SQ) e delle Psychological Well-Being scales (PWB) a 289 soggetti reclutati nella popolazione generale. In accordo con il modello bipsicosociale che vede l’ambiente familiare come il più immediato gruppo di influenza psicosociale dello stato di benessere o malessere dell’individuo, i nostri dati confermano una stretta relazione tra scarso funzionamento familiare, spesso espresso attraverso difficoltà di comunicazione, di problem solving e scarso coinvolgimento affettivo e distress psicologico esperito con sintomi depressivi, ansiogeni ed ostilità. I nostri dati sottoliano inoltre come un funzionamento familiare positivo sia altamente correlato ad elevati livelli di benessere psicologico. Obiettivo della parte finale del lavoro ed anche il più importante, è stato quello di esplorare l’efficacia della Problem Centered Systems Therapy of the Family nella gestione della perdita di efficacia degli antidepressivi nel trattamento della depressione ricorrente. 20 soggetti con diagnosi di depressione maggiore ricorrente secondo il DSM-IV sono stati randomizzati a due diverse condizioni di trattamento: 1) aumento del dosaggio dell’antidepressivo e clinical management, oppure 2) mantenimento dello stesso dosaggio di antidepressivo e PCSTF. I dati di questo studio mettono in evidenza come, nel breve termine, PCSTF e farmacoterapia sono ugualmente efficaci nel ridurre la sintomatologia depressiva. Diversamente, ad un follow-up di 12 mesi, la PCSTF si è dimostrata altamente superiore all’aumento del farmaco ner prevenire le ricadute. Nel gruppo sottoposto all’aumento del farmaco infatti ben 6 soggetti su 7 ricadono entro l’anno. Nel gruppo assegnato a terapia familiare invece solo 1 soggetto su 7 ricade. Questi risultati sono in linea con i dati della letteratura che sottolineano l’elevata probabilità di una seconda ricaduta dopo l’aumento dell’antidepressivo all’interno di una farmacoterapia di mantenimento e suggeriscono l’efficacia dell’utilizzo di strategie psicoterapiche nella prevenzione della ricaduta in pazienti con depressione ricorrente.

New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems

This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem encountered is that T-S identification method cannot be applied when the membership functions are overlapped by pairs. This restricts the application of the T-S method because this type of membership function has been widely used during the last 2 decades in the stability, controller design of fuzzy systems and is popular in industrial control applications. The approach developed here can be considered as a generalized version of T-S identification method with optimized performance in approximating nonlinear functions. We propose a noniterative method through weighting of parameters approach and an iterative algorithm by applying the extended Kalman filter, based on the same idea of parameters’ weighting. We show that the Kalman filter is an effective tool in the identification of T-S fuzzy model. A fuzzy controller based linear quadratic regulator is proposed in order to show the effectiveness of the estimation method developed here in control applications. An illustrative example of an inverted pendulum is chosen to evaluate the robustness and remarkable performance of the proposed method locally and globally in comparison with the original T-S model. Simulation results indicate the potential, simplicity, and generality of the algorithm. An illustrative example is chosen to evaluate the robustness. In this paper, we prove that these algorithms converge very fast, thereby making them very practical to use.

A new approach to fuzzy estimation of Takagi-Sugeno model and its applications to optimal control for nonlinear systems

An efficient approach is presented to improve the local and global approximation and modelling capability of Takagi-Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy. The main problem is that T-S identification method cannot be applied when the membership functions are overlapped by pairs. This restricts the use of the T-S method because this type of membership function has been widely used during the last two decades in the stability, controller design and are popular in industrial control applications. The approach developed here can be considered as a generalized version of T-S method with optimized performance in approximating nonlinear functions. A simple approach with few computational effort, based on the well known parameters' weighting method is suggested for tuning T-S parameters to improve the choice of the performance index and minimize it. A global fuzzy controller (FC) based Linear Quadratic Regulator (LQR) is proposed in order to show the effectiveness of the estimation method developed here in control applications. Illustrative examples of an inverted pendulum and Van der Pol system are chosen to evaluate the robustness and remarkable performance of the proposed method and the high accuracy obtained in approximating nonlinear and unstable systems locally and globally in comparison with the original T-S model. Simulation results indicate the potential, simplicity and generality of the algorithm.

Estimation of the Proportion of Underachieving Students in Compulsory Secondary Education in Spain: An Application of the Rasch Model

There are very few studies in Spain that treat underachievement rigorously, and those that do are typically related to gifted students. The present study examined the proportion of underachieving students using the Rasch measurement model. A sample of 643 first-year high school students (mean age = 12.09; SD = 0.47) from 8 schools in the province of Alicante (Spain) completed the Battery of Differential and General Skills (Badyg), and these students' General Points Average (GPAs) were recovered by teachers. Dichotomous and Partial credit Rasch models were performed. After adjusting the measurement instruments, the individual underachievement index provided a total sample of 181 underachieving students, or 28.14% of the total sample across the ability levels. This study confirms that the Rasch measurement model can accurately estimate the construct validity of both the intelligence test and the academic grades for the calculation of underachieving students. Furthermore, the present study constitutes a pioneer framework for the estimation of the prevalence of underachievement in Spain.