Predicting random level and seasonality of hotel prices. A structural equation growth curve approach

This article examines the effect on price of different characteristics of holiday hotels in the sun-and-beach segment, under the hedonic function perspective. Monthly prices of the majority of hotels in the Spanish continental Mediterranean coast are gathered from May to October 1999 from the tour operator catalogues. Hedonic functions are specified as random-effect models and parametrized as structural equation models with two latent variables, a random peak season price and a random width of seasonal fluctuations. Characteristics of the hotel and the region where they are located are used as predictors of both latent variables. Besides hotel category, region, distance to the beach, availability of parking place and room equipment have an effect on peak price and also on seasonality. 3- star hotels have the highest seasonality and hotels located in the southern regions the lowest, which could be explained by a warmer climate in autumn

Hilbert space on probability density functions with Aitchison geometry

Compositional data analysis motivated the introduction of a complete Euclidean structure in the simplex of D parts. This was based on the early work of J. Aitchison (1986) and completed recently when Aitchinson distance in the simplex was associated with an inner product and orthonormal bases were identified (Aitchison and others, 2002; Egozcue and others, 2003). A partition of the support of a random variable generates a composition by assigning the probability of each interval to a part of the composition. One can imagine that the partition can be refined and the probability density would represent a kind of continuous composition of probabilities in a simplex of infinitely many parts. This intuitive idea would lead to a Hilbert-space of probability densitiesby generalizing the Aitchison geometry for compositions in the simplex into the set probability densities

Executive functions profile in extreme eating/weight conditions: from anorexia nervosa to obesity.

BACKGROUND Extreme weight conditions (EWC) groups along a continuum may share some biological risk factors and intermediate neurocognitive phenotypes. A core cognitive trait in EWC appears to be executive dysfunction, with a focus on decision making, response inhibition and cognitive flexibility. Differences between individuals in these areas are likely to contribute to the differences in vulnerability to EWC. The aim of the study was to investigate whether there is a common pattern of executive dysfunction in EWC while comparing anorexia nervosa patients (AN), obese subjects (OB) and healthy eating/weight controls (HC). METHODS Thirty five AN patients, fifty two OB and one hundred thirty seven HC were compared using the Wisconsin Card Sorting Test (WCST); Stroop Color and Word Test (SCWT); and Iowa Gambling Task (IGT). All participants were female, aged between 18 and 60 years. RESULTS There was a significant difference in IGT score (F(1.79); p<.001), with AN and OB groups showing the poorest performance compared to HC. On the WCST, AN and OB made significantly more errors than controls (F(25.73); p<.001), and had significantly fewer correct responses (F(2.71); p<.001). Post hoc analysis revealed that the two clinical groups were not significantly different from each other. Finally, OB showed a significant reduced performance in the inhibition response measured with the Stroop test (F(5.11); p<.001) compared with both AN and HC. CONCLUSIONS These findings suggest that EWC subjects (namely AN and OB) have similar dysfunctional executive profile that may play a role in the development and maintenance of such disorders.

Gap probabilities for the cardinal sine

We study the zero set of random analytic functions generated by a sum of the cardinal sine functions which form an orthogonal basis for the Paley-Wiener space. As a model case, we consider real-valued Gaussian coefficients. It is shown that the asymptotic probability that there is no zero in a bounded interval decays exponentially as a function of the length.

Additive functions in boolean models of gene regulatory network modules.

Gene-on-gene regulations are key components of every living organism. Dynamical abstract models of genetic regulatory networks help explain the genome's evolvability and robustness. These properties can be attributed to the structural topology of the graph formed by genes, as vertices, and regulatory interactions, as edges. Moreover, the actual gene interaction of each gene is believed to play a key role in the stability of the structure. With advances in biology, some effort was deployed to develop update functions in Boolean models that include recent knowledge. We combine real-life gene interaction networks with novel update functions in a Boolean model. We use two sub-networks of biological organisms, the yeast cell-cycle and the mouse embryonic stem cell, as topological support for our system. On these structures, we substitute the original random update functions by a novel threshold-based dynamic function in which the promoting and repressing effect of each interaction is considered. We use a third real-life regulatory network, along with its inferred Boolean update functions to validate the proposed update function. Results of this validation hint to increased biological plausibility of the threshold-based function. To investigate the dynamical behavior of this new model, we visualized the phase transition between order and chaos into the critical regime using Derrida plots. We complement the qualitative nature of Derrida plots with an alternative measure, the criticality distance, that also allows to discriminate between regimes in a quantitative way. Simulation on both real-life genetic regulatory networks show that there exists a set of parameters that allows the systems to operate in the critical region. This new model includes experimentally derived biological information and recent discoveries, which makes it potentially useful to guide experimental research. The update function confers additional realism to the model, while reducing the complexity and solution space, thus making it easier to investigate.

Modulation of Higher-Order Olfaction Components on Executive Functions in Humans.

The prefrontal (PFC) and orbitofrontal cortex (OFC) appear to be associated with both executive functions and olfaction. However, there is little data relating olfactory processing and executive functions in humans. The present study aimed at exploring the role of olfaction on executive functioning, making a distinction between primary and more cognitive aspects of olfaction. Three executive tasks of similar difficulty were used. One was used to assess hot executive functions (Iowa Gambling Task-IGT), and two as a measure of cold executive functioning (Stroop Colour and Word Test-SCWT and Wisconsin Card Sorting Test-WCST). Sixty two healthy participants were included: 31 with normosmia and 31 with hyposmia. Olfactory abilities were assessed using the ''Sniffin' Sticks'' test and the olfactory threshold, odour discrimination and odour identification measures were obtained. All participants were female, aged between 18 and 60. Results showed that participants with hyposmia displayed worse performance in decision making (IGT; Cohen's-d = 0.91) and cognitive flexibility (WCST; Cohen's-d between 0.54 and 0.68) compared to those with normosmia. Multiple regression adjusted by the covariates participants' age and education level showed a positive association between odour identification and the cognitive inhibition response (SCWT-interference; Beta = 0.29; p = .034). The odour discrimination capacity was not a predictor of the cognitive executive performance. Our results suggest that both hot and cold executive functions seem to be associated with higher-order olfactory functioning in humans. These results robustly support the hypothesis that olfaction and executive measures have a common neural substrate in PFC and OFC, and suggest that olfaction might be a reliable cognitive marker in psychiatric and neurologic disorders.

NrsZ: a novel, processed, nitrogen-dependent, small non-coding RNA that regulates Pseudomonas aeruginosa PAO1 virulence.

The opportunistic pathogen Pseudomonas aeruginosa PAO1 has a remarkable capacity to adapt to various environments and to survive with limited nutrients. Here, we report the discovery and characterization of a novel small non-coding RNA: NrsZ (nitrogen-regulated sRNA). We show that under nitrogen limitation, NrsZ is induced by the NtrB/C two component system, an important regulator of nitrogen assimilation and P. aeruginosa's swarming motility, in concert with the alternative sigma factor RpoN. Furthermore, we demonstrate that NrsZ modulates P. aeruginosa motility by controlling the production of rhamnolipid surfactants, virulence factors notably needed for swarming motility. This regulation takes place through the post-transcriptional control of rhlA, a gene essential for rhamnolipids synthesis. Interestingly, we also observed that NrsZ is processed in three similar short modules, and that the first short module encompassing the first 60 nucleotides is sufficient for NrsZ regulatory functions.

Antiviral Immunity in HIV-1 infected long term non-progressors (LTNPs).

Now that the acquired immunodeficiency syndrome (AIDS) epidemic is well into its second decade, it has become evident that a small percentage (approximately 5%) of HIV-infected individuals do not experience progression of HIV disease even after several years of being infected with HIV. These individuals have been designated as 'long term non-progressors' (LTNPs). From a virologic standpoint, these LTNPs have low viral burden in mononuclear cells, but persistent virus replication as manifested by chronic and generally low levels of plasma viremia. From an immunologic standpoint, immune functions including CD8(+) T-cell- and CD4(+) T-cell-mediated functions are preserved. In addition, they show a vigorous humoral immune response. More importantly, lymphoid tissue structure and function are preserved in LTNPs. Despite persistent low-level virus replication and chronic stimulation of the immune system, immune activation is qualitatively and quantitatively different in LTNPs compared to that observed in HIV-infected individuals whose HIV disease has progressed.

New gene functions in megakaryopoiesis and platelet formation.

Platelets are the second most abundant cell type in blood and are essential for maintaining haemostasis. Their count and volume are tightly controlled within narrow physiological ranges, but there is only limited understanding of the molecular processes controlling both traits. Here we carried out a high-powered meta-analysis of genome-wide association studies (GWAS) in up to 66,867 individuals of European ancestry, followed by extensive biological and functional assessment. We identified 68 genomic loci reliably associated with platelet count and volume mapping to established and putative novel regulators of megakaryopoiesis and platelet formation. These genes show megakaryocyte-specific gene expression patterns and extensive network connectivity. Using gene silencing in Danio rerio and Drosophila melanogaster, we identified 11 of the genes as novel regulators of blood cell formation. Taken together, our findings advance understanding of novel gene functions controlling fate-determining events during megakaryopoiesis and platelet formation, providing a new example of successful translation of GWAS to function.

Decoding sequence learning from single-trial intracranial EEG in humans.

We propose and validate a multivariate classification algorithm for characterizing changes in human intracranial electroencephalographic data (iEEG) after learning motor sequences. The algorithm is based on a Hidden Markov Model (HMM) that captures spatio-temporal properties of the iEEG at the level of single trials. Continuous intracranial iEEG was acquired during two sessions (one before and one after a night of sleep) in two patients with depth electrodes implanted in several brain areas. They performed a visuomotor sequence (serial reaction time task, SRTT) using the fingers of their non-dominant hand. Our results show that the decoding algorithm correctly classified single iEEG trials from the trained sequence as belonging to either the initial training phase (day 1, before sleep) or a later consolidated phase (day 2, after sleep), whereas it failed to do so for trials belonging to a control condition (pseudo-random sequence). Accurate single-trial classification was achieved by taking advantage of the distributed pattern of neural activity. However, across all the contacts the hippocampus contributed most significantly to the classification accuracy for both patients, and one fronto-striatal contact for one patient. Together, these human intracranial findings demonstrate that a multivariate decoding approach can detect learning-related changes at the level of single-trial iEEG. Because it allows an unbiased identification of brain sites contributing to a behavioral effect (or experimental condition) at the level of single subject, this approach could be usefully applied to assess the neural correlates of other complex cognitive functions in patients implanted with multiple electrodes.

A comparison of random sequence reads versus 16S rDNA sequences for estimating the biodiversity of a metagenomic library

The construction of metagenomic libraries has permitted the study of microorganisms resistant to isolation and the analysis of 16S rDNA sequences has been used for over two decades to examine bacterial biodiversity. Here, we show that the analysis of random sequence reads (RSRs) instead of 16S is a suitable shortcut to estimate the biodiversity of a bacterial community from metagenomic libraries. We generated 10,010 RSRs from a metagenomic library of microorganisms found in human faecal samples. Then searched them using the program BLASTN against a prokaryotic sequence database to assign a taxon to each RSR. The results were compared with those obtained by screening and analysing the clones containing 16S rDNA sequences in the whole library. We found that the biodiversity observed by RSR analysis is consistent with that obtained by 16S rDNA. We also show that RSRs are suitable to compare the biodiversity between different metagenomic libraries. RSRs can thus provide a good estimate of the biodiversity of a metagenomic library and, as an alternative to 16S, this approach is both faster and cheaper.

Mutual information of IID complex Gaussian signals on block Rayleigh-faded channels

We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian signal on a block Rayleigh-faded channel without side information at the receiver. The method accommodates both scalar and MIMO (multiple-input multiple-output) settings. Operationally, this mutual information represents the highest spectral efficiency that can be attained using Gaussiancodebooks. Examples are provided that illustrate the loss in spectral efficiency caused by fast fading and how that loss is amplified when multiple transmit antennas are used. These examples are further enriched by comparisons with the channel capacity under perfect channel-state information at the receiver, and with the spectral efficiency attained by pilot-based transmission.

Mutual Information of IID complex Gaussian signals on block Rayleigh-faded channels

We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian signal on a block Rayleigh-faded channel without side information at the receiver. The method accommodates both scalar and MIMO (multiple-input multiple-output) settings. Operationally, this mutual information represents the highest spectral efficiency that can be attained using Gaussiancodebooks. Examples are provided that illustrate the loss in spectral efficiency caused by fast fading and how that loss is amplified when multiple transmit antennas are used. These examples are further enriched by comparisons with the channel capacity under perfect channel-state information at the receiver, and with the spectral efficiency attained by pilot-based transmission.

Topographical body fat distribution links to amino acid and lipid metabolism in healthy non-obese women.

Visceral adiposity is increasingly recognized as a key condition for the development of obesity related disorders, with the ratio between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reported as the best correlate of cardiometabolic risk. In this study, using a cohort of 40 obese females (age: 25-45 y, BMI: 28-40 kg/m(2)) under healthy clinical conditions and monitored over a 2 weeks period we examined the relationships between different body composition parameters, estimates of visceral adiposity and blood/urine metabolic profiles. Metabonomics and lipidomics analysis of blood plasma and urine were employed in combination with in vivo quantitation of body composition and abdominal fat distribution using iDXA and computerized tomography. Of the various visceral fat estimates, VAT/SAT and VAT/total abdominal fat ratios exhibited significant associations with regio-specific body lean and fat composition. The integration of these visceral fat estimates with metabolic profiles of blood and urine described a distinct amino acid, diacyl and ether phospholipid phenotype in women with higher visceral fat. Metabolites important in predicting visceral fat adiposity as assessed by Random forest analysis highlighted 7 most robust markers, including tyrosine, glutamine, PC-O 44∶6, PC-O 44∶4, PC-O 42∶4, PC-O 40∶4, and PC-O 40∶3 lipid species. Unexpectedly, the visceral fat associated inflammatory profiles were shown to be highly influenced by inter-days and between-subject variations. Nevertheless, the visceral fat associated amino acid and lipid signature is proposed to be further validated for future patient stratification and cardiometabolic health diagnostics.

Gliotransmission in the hippocampus, mechanisms and interaction with synaptic functions

SUMMARYAstrocytes represent the largest cell population in the human brain. In addition to a well established role as metabolic support for neuronal activity, in the last years these cells have been found to accomplish other important and, sometimes, unexpected functions. The tight enwrapping of synapses by astrocytic processes and the predominant expression of glutamate uptake carriers in the astrocytic rather than neuronal plasma membranes brought to the definition of a critical involvement of astrocytes in the clearance of glutamate from synaptic junctions. Moreover, several publications showed that astrocytes are able to release chemical transmitters (gliotransmitters) suggesting their active implication in the control of synaptic functions. Among gliotransmitters, the best characterized is glutamate, which has been proposed to be released from astrocytes in a Ca2+ dependent manner via exocytosis of synaptic-like microvesicles.In my thesis I present results leading to substantial advancement of the understanding of the mechanisms by which astrocytes modulate synaptic activity in the hippocampus, notably at excitatory synapses on dentate granule cells. I show that tumor necrosis factor- alpha (TNFa), a molecule that is generally involved in immune system functions, critically controls astrocyte-to-synapse communication (gliotransmission) in the brain. With constitutive levels of TNFa present, activation of purinergic G protein-coupled receptors in astrocytes, called P2Y1 receptors, induces localized intracellular calcium ([Ca2+]j) elevation in astrocytic processes (measured by two-photon microscopy) followed by glutamate release and activation of pre-synaptic NMDA receptors resulting in synaptic potentiation. In preparations lacking TNFa, astrocytes respond with identical [Ca2+]i elevations but fail to induce neuromodulation. I find that TNFa specifically controls the glutamate release step of gliotransmission. Addition of very low (picomolar) TNFa concentrations to preparations lacking the cytokine, promptly reconstitutes both normal exocytosis in cultured astrocytes and gliotransmission in hippocampal slices. These data provide the first demonstration that gliotransmission and its synaptic effects are controlled not only by astrocyte [Ca2+]i elevations but also by permissive/homeostatic factors like TNFa.In addition, I find that higher and presumably pathological TNFa concentrations do not act just permissively but instead become direct and potent triggers of glutamate release from astrocytes, leading to a strong enhancement of excitatory synaptic activity. The TNFa action, like the one observed upon P2Y1R activation, is mediated by pre-synaptic NMDA receptors, but in this case the effect is long-lasting, and not reversible. Moreover, I report that a necessary molecular target for this action of TNFa is TNFR1, one of the two specific receptors for the cytokine, as I found that TNFa was unable to induce synaptic potentiation when applied in slices from TNFR1 knock-out (Tnfrlv") mice. I then created a double transgenic mouse model where TNFR1 is knocked out in all cells but can be re-expressed selectively in astrocytes and I report that activation of the receptors in these cells is sufficient to reestablish TNFa-dependent long-lasting potentiation of synaptic activity in the TNFR1 knock-out mice.I therefore discovered that TNFa is a primary molecule displaying both permissive and instructive roles on gliotransmission controlling synaptic functions. These reports might have profound implications for the understanding of both physiological and pathological processes associated to TNFa production, including inflammatory processes in the brain.RÉSUMÉLes astrocytes sont les cellules les plus abondantes du cerveau humain. Outre leur rôle bien établi dans le support métabolique de l'activité neuronale, d'autres fonctions importantes, et parfois inattendues de ces cellules ont été mises en lumière au cours de ces dernières années. Les astrocytes entourent étroitement les synapses de leurs fins processus qui expriment fortement les transporteurs du glutamate et permettent ainsi aux astrocytes de jouer un rôle critique dans l'élimination du glutamate de la fente synaptique. Néanmoins, les astrocytes semblent être capables de jouer un rôle plus intégratif en modulant l'activité synaptique, notamment par la libération de transmetteurs (gliotransmetteurs). Le gliotransmetteur le plus étudié est le glutamate qui est libéré par l'exocytose régulée de petites vésicules ressemblant aux vésicules synaptiques (SLMVs) via un mécanisme dépendant du calcium.Les résultats présentés dans cette thèse permettent une avancée significative dans la compréhension du mode de communication de ces cellules et de leur implication dans la transmission de l'information synaptique dans l'hippocampe, notamment des synapses excitatrices des cellules granulaires du gyrus dentelé. J'ai pu montrer que le « facteur de nécrose tumorale alpha » (TNFa), une cytokine communément associée au système immunitaire, est aussi fondamentale pour la communication entre astrocyte et synapse. Lorsqu'un niveau constitutif très bas de TNFa est présent, l'activation des récepteurs purinergiques P2Y1 (des récepteurs couplés à protéine G) produit une augmentation locale de calcium (mesurée en microscopie bi-photonique) dans l'astrocyte. Cette dernière déclenche ensuite une libération de glutamate par les astrocytes conduisant à l'activation de récepteurs NMDA présynaptiques et à une augmentation de l'activité synaptique. En revanche, dans la souris TNFa knock-out cette modulation de l'activité synaptique par les astrocytes n'est pas bien qu'ils présentent toujours une excitabilité calcique normale. Nous avons démontré que le TNFa contrôle spécifiquement l'exocytose régulée des SLMVs astrocytaires en permettant la fusion synchrone de ces vésicules et la libération de glutamate à destination des récepteurs neuronaux. Ainsi, nous avons, pour la première fois, prouvé que la modulation de l'activité synaptique par l'astrocyte nécessite, pour fonctionner correctement, des facteurs « permissifs » comme le TNFa, agissant sur le mode de sécrétion du glutamate astrocytaire.J'ai pu, en outre, démontrer que le TNFa, à des concentrations plus élevées (celles que l'on peut observer lors de conditions pathologiques) provoque une très forte augmentation de l'activité synaptique, agissant non plus comme simple facteur permissif mais bien comme déclencheur de la gliotransmission. Le TNFa provoque 1'activation des récepteurs NMD A pré-synaptiques (comme dans le cas des P2Y1R) mais son effet est à long terme et irréversible. J'ai découvert que le TNFa active le récepteur TNFR1, un des deux récepteurs spécifiques pour le TNFa. Ainsi, l'application de cette cytokine sur une tranche de cerveau de souris TNFR1 knock-out ne produit aucune modification de l'activité synaptique. Pour vérifier l'implication des astrocytes dans ce processus, j'ai ensuite mis au point un modèle animal doublement transgénique qui exprime le TNFR1 uniquement dans les astrocytes. Ce dernier m'a permis de prouver que l'activation des récepteurs TNFR1 astrocytaires est suffisante pour induire une augmentation de l'activité synaptique de manière durable.Nous avons donc découvert que le TNFa possède un double rôle, à la fois un rôle permissif et actif, dans le contrôle de la gliotransmission et, par conséquent, dans la modulation de l'activité synaptique. Cette découverte peut potentiellement être d'une extrême importance pour la compréhension des mécanismes physiologiques et pathologiques associés à la production du TNFa, en particulier lors de conditions inflammatoires.RÉSUMÉ GRAND PUBLICLes astrocytes représentent la population la plus nombreuse de cellules dans le cerveau humain. On sait, néanmoins, très peu de choses sur leurs fonctions. Pendant très longtemps, les astrocytes ont uniquement été considérés comme la colle du cerveau, un substrat inerte permettant seulement de lier les cellules neuronales entre elles. Il n'y a que depuis peu que l'on a découvert de nouvelles implications de ces cellules dans le fonctionnement cérébral, comme, entre autres, une fonction de support métabolique de l'activité neuronale et un rôle dans la modulation de la neurotransmission. C'est ce dernier aspect qui fait l'objet de mon projet de thèse.Nous avons découvert que l'activité des synapses (régions qui permettent la communication d'un neurone à un autre) qui peut être potentialisée par la libération du glutamate par les astrocytes, ne peut l'être que dans des conditions astrocytaires très particulières. Nous avons, en particulier, identifié une molécule, le facteur de nécrose tumorale alpha (TNFa) qui joue un rôle critique dans cette libération de glutamate astrocytaire.Le TNFa est surtout connu pour son rôle dans le système immunitaire et le fait qu'il est massivement libéré lors de processus inflammatoires. Nous avons découvert qu'en concentration minime, correspondant à sa concentration basale, le TNFa peut néanmoins exercer un rôle indispensable en permettant la communication entre l'astrocyte et le neurone. Ce mode de fonctionnement est assez probablement représentatif d'un processus physiologique qui permet d'intégrer la communication astrocyte/neurone au fonctionnement général du cerveau. Par ailleurs, nous avons également démontré qu'en quantité plus importante, le TNFa change son mode de fonctionnement et agit comme un stimulateur direct de la libération de glutamate par l'astrocyte et induit une activation persistante de l'activité synaptique. Ce mode de fonctionnement est assez probablement représentatif d'un processus pathologique.Nous sommes également arrivés à ces conclusions grâce à la mise en place d'une nouvelle souche de souris doublement transgéniques dans lesquelles seuls les astrocytes (etnon les neurones ou les autres cellules cérébrales) sont capables d'être activés par le TNFa.