Explaining Fiscal Balances with a Simultaneous Equation Model of Revenue and Expenditure : A Case Study of Swiss Cantons Using Panel Data

Empirical literature on the analysis of the efficiency of measures for reducing persistent government deficits has mainly focused on the direct explanation of deficit. By contrast, this paper aims at modeling government revenue and expenditure within a simultaneous framework and deriving the fiscal balance (surplus or deficit) equation as the difference between the two variables. This setting enables one to not only judge how relevant the explanatory variables are in explaining the fiscal balance but also understand their impact on revenue and/or expenditure. Our empirical results, obtained by using a panel data set on Swiss Cantons for the period 1980-2002, confirm the relevance of the approach followed here, by providing unambiguous evidence of a simultaneous relationship between revenue and expenditure. They also reveal strong dynamic components in revenue, expenditure, and fiscal balance. Among the significant determinants of public fiscal balance we not only find the usual business cycle elements, but also and more importantly institutional factors such as the number of administrative units, and the ease with which people can resort to political (direct democracy) instruments, such as public initiatives and referendum.

SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

BACKGROUND: Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. RESULTS: We present the Systems Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. CONCLUSIONS: SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.

Assessing the impact of DRGs on patient care and professional practice in Switzerland (IDoC) : a potential model for monitoring and evaluating healthcare reform.

QUESTIONS UNDER STUDY: The starting point of the interdisciplinary project "Assessing the impact of diagnosis related groups (DRGs) on patient care and professional practice" (IDoC) was the lack of a systematic ethical assessment for the introduction of cost containment measures in healthcare. Our aim was to contribute to the methodological and empirical basis of such an assessment. METHODS: Five sub-groups conducted separate but related research within the fields of biomedical ethics, law, nursing sciences and health services, applying a number of complementary methodological approaches. The individual research projects were framed within an overall ethical matrix. Workshops and bilateral meetings were held to identify and elaborate joint research themes. RESULTS: Four common, ethically relevant themes emerged in the results of the studies across sub-groups: (1.) the quality and safety of patient care, (2.) the state of professional practice of physicians and nurses, (3.) changes in incentives structure, (4.) vulnerable groups and access to healthcare services. Furthermore, much-needed data for future comparative research has been collected and some early insights into the potential impact of DRGs are outlined. CONCLUSIONS: Based on the joint results we developed preliminary recommendations related to conceptual analysis, methodological refinement, monitoring and implementation.

Neuroscience robotics to investigate multisensory integration and bodily awareness.

Humans experience the self as localized within their body. This aspect of bodily self-consciousness can be experimentally manipulated by exposing individuals to conflicting multisensory input, or can be abnormal following focal brain injury. Recent technological developments helped to unravel some of the mechanisms underlying multisensory integration and self-location, but the neural underpinnings are still under investigation, and the manual application of stimuli resulted in large variability difficult to control. This paper presents the development and evaluation of an MR-compatible stroking device capable of presenting moving tactile stimuli to both legs and the back of participants lying on a scanner bed while acquiring functional neuroimaging data. The platform consists of four independent stroking devices with a travel of 16-20 cm and a maximum stroking velocity of 15 cm/s, actuated over non-magnetic ultrasonic motors. Complemented with virtual reality, this setup provides a unique research platform allowing to investigate multisensory integration and its effects on self-location under well-controlled experimental conditions. The MR-compatibility of the system was evaluated in both a 3 and a 7 Tesla scanner and showed negligible interference with brain imaging. In a preliminary study using a prototype device with only one tactile stimulator, fMRI data acquired on 12 healthy participants showed visuo-tactile synchrony-related and body-specific modulations of the brain activity in bilateral temporoparietal cortex.

Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease.

The failure of current strategies to provide an explanation for controversial findings on the pattern of pathophysiological changes in Alzheimer's Disease (AD) motivates the necessity to develop new integrative approaches based on multi-modal neuroimaging data that captures various aspects of disease pathology. Previous studies using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (sMRI) report controversial results about time-line, spatial extent and magnitude of glucose hypometabolism and atrophy in AD that depend on clinical and demographic characteristics of the studied populations. Here, we provide and validate at a group level a generative anatomical model of glucose hypo-metabolism and atrophy progression in AD based on FDG-PET and sMRI data of 80 patients and 79 healthy controls to describe expected age and symptom severity related changes in AD relative to a baseline provided by healthy aging. We demonstrate a high level of anatomical accuracy for both modalities yielding strongly age- and symptom-severity- dependant glucose hypometabolism in temporal, parietal and precuneal regions and a more extensive network of atrophy in hippocampal, temporal, parietal, occipital and posterior caudate regions. The model suggests greater and more consistent changes in FDG-PET compared to sMRI at earlier and the inversion of this pattern at more advanced AD stages. Our model describes, integrates and predicts characteristic patterns of AD related pathology, uncontaminated by normal age effects, derived from multi-modal data. It further provides an integrative explanation for findings suggesting a dissociation between early- and late-onset AD. The generative model offers a basis for further development of individualized biomarkers allowing accurate early diagnosis and treatment evaluation.

Integration and development in schizotypy research : an introduction to the special supplement

In its fifth decade of existence, the construct of schizotypy is recapturing the early scientific interest it attracted when Paul E. Meehl (1920-2003), who coined the term, pioneered the field of schizotypy research. The International Lemanic Workshop on Schizotypy, hosted at the University of Geneva in December 2013, recently offered an opportunity to address some of the fundamental questions in contemporary schizotypy research and situate the construct in the greater scheme of future scientific projects on schizophrenia and psychological health research. What kind of knowledge has schizotypy research provided in furthering our understanding of schizophrenia? What types of questions can schizotypy research tackle, and which are the conceptual and methodological frameworks to address them? How will schizotypy research contribute to future scientific endeavors? The International Lemanic Workshop brought together leading experts in the field around the tasks of articulating the essential findings in schizotypy research, as well as providing some key insights and guidance to face scientific challenges of the future. The current supplement contains 8 position articles, 4 research articles, and 1 invited commentary that outline the state of the art in schizotypy research today

Interrogation of related clinical pan-azole-resistant Aspergillus fumigatus strains: G138C, Y431C, and G434C single nucleotide polymorphisms in cyp51A, upregulation of cyp51A, and integration and activation of transposon Atf1 in the cyp51A promoter.

Multiple Aspergillus fumigatus isolates from a patient with two aspergillomas complicating chronic pulmonary aspergillosis were pan-azole resistant. Microsatellite typing was identical for all isolates despite major phenotypic and some growth rate differences. Three different cyp51A mutations were found (G138C, Y431C, and G434C), of which the first two were demonstrated by heterologous expression in a hypersusceptible Saccharomyces cerevisiae strain to be at least partly responsible for elevated MICs. cyp51A and cyp51B gene duplication was excluded, but increased expression of cyp51A was demonstrated in three isolates selected for additional study (7-to 13-fold increases). In the isolate with the greatest cyp51A expression, an Aft1 transposon was found inserted 370 bp upstream of the start codon of the cyp51A gene, an integration location never previously demonstrated in Aspergillus. Two transcription start sites were identified at 49 and 136 bp upstream of the start codon. The role of the Aft1 transposon, if any, in modulating cyp51A expression remains to be established. Increased mRNA expression of the transporters AfuMDR1 and AfuMDR4 also was demonstrated in some isolates, which could contribute to azole resistance or simply represent a stress response. The diversity of confirmed and possible azole resistance mechanisms demonstrated in a single series of isogenic isolates is remarkable, indicating the ability of A. fumigatus to adapt in the clinical setting.

Combining MAR elements and transposable vectors for more reliable transgene integration and expression

Integration without cytotoxic effects and long-term expression of a transgene constitutes a major challenge in gene therapy and biotechnology applications. In this context, transposons represent an attractive system for gene transfer because of their ability to promote efficient integration of a transgene in a variety of cell lines. However, the transgene integration can lead to insertional mutagenesis and/or unstable transgene expression by epigenetic modifications. These unwanted events may be limited by the use of chromatin control elements called MARs (matrix attachment regions). Indeed, the insertion of these DNA elements next to the transgene usually results in higher and more stable expression by maintaining transgene chromatin in an active configuration and preventing gene silencing. In this study, we tested if the inclusion of the MAR 1-68 in the piggyBac transposon system may lead to efficient and safer transgene integration and ensure reliable stable and long-term expression of a transgene. The MAR-containing transposon construct was tested in CHO cells, for biotechnology applications, and in mesoangioblast cells that can differentiate into muscle cells and are important candidates for potential stem cell therapies of myopathies. We showed that the addition of the MAR 1 -68 in the piggyBac transposon did not interfere with transposition, thereby maintaining high frequency of transgene integrations in these cells. Moreover, the MAR allowed higher transgene expression from fewer transposon integration events. We also found that enriched transgene-expressing cell populations could be obtained without the need of selection pressure. Since antibiotic-enforced selection protocols often result in a higher integrated copy number and mosaic expression patterns, this strategy could benefit many applications in which a low copy number of integrated transgenes and antibiotic-free conditions are desired. In addition, the intramuscular transplantation of mouse tibialis anterior muscles with mesoangioblasts containing the transposon led to widespread and sustained myofiber transgene expression after differentiation of these cells in vivo. These findings indicated that piggyBac vectors may provide a viable approach to achieve stable gene transfer in the context of Duchenne muscular dystrophy therapy. - L'intégration sans effets cytotoxiques et l'expression à long terme d'un transgène constituent un défi majeur en thérapie génique et en biotechnologie. Dans ce contexte, les transposons représentent un système attrayant pour le transfert de gènes en raison de leur capacité à promouvoir l'intégration efficace d'un transgène dans une variété de lignées cellulaires. Toutefois, l'intégration d'un transgène peut conduire à une mutagénèse insertionnelle et/ou à une expression instable due au silençage du transgène suite à des modifications épigénétiques. Ces événements indésirables de silençage génique peuvent être diminués par l'utilisation d'éléments de contrôle de la chromatine appelés MAR (matrix attachment region). En effet, l'insertion de ces éléments d'ADN à proximité du transgène se traduit généralement par une expression plus élevée et plus stable de celui-ci, en permettant le maintien d'une chromatine dans une configuration active autour du transgène et en empêchant l'inactivation du gène. Dans cette étude, nous avons testé si l'inclusion du MAR 1-68 dans le système transposon piggyBac peut améliorer l'efficacité d'intégration de façon sécuritaire et l'expression à long terme d'un transgène. Le transposon contenant l'élément MAR a été testé dans les cellules CHO, couramment utilisées en biotechnologie, et dans des cellules progénitrices appelées mésoangioblastes, qui peuvent se différencier en cellules musculaires, et qui constituent ainsi des candidats prometteurs pour la thérapie à partir de cellules souches de patients souffrant de myopathie. Nous avons montré que l'addition du MAR 1-68 dans le transposon piggyBac n'interfère pas avec la transposition et permet de maintenir une fréquence élevée d'intégration du transgène dans ces deux types cellulaires. De plus, il semble que cette association mène à une meilleure expression du transgène à partir de peu d'événements d'intégration du transposon. En outre, ces populations enrichies en cellules exprimant de façon stable le transgène ont pu être obtenues sans avoir recours à une pression de sélection. Etant donné que les protocoles de sélection basée sur l'utilisation d'antibiotiques conduisent souvent à un nombre plus élevé de copies intégrées et à la variégation de l'expression du transgène et qu'ils impliquent une longue culture in vitro, cette stratégie pourrait profiter à des applications pour lesquelles on souhaite un faible nombre de copies intégrées et/ou l'utilisation d'antibiotiques n'est pas souhaitable. De plus, la transplantation intramusculaire de mésoangioblastes contenant le transposon dans le muscle tibial antérieur de souris a conduit, après la différentiation de ces cellules in vivo, à une expression constante et étendue du transgène dans les myofibres. Ces résultats indiquent que les vecteurs piggyBac pourraient fournir une approche viable pour assurer un transfert de gènes stables dans le contexte d'un traitement de la dystrophic musculaire de Duchenne.

MAR elements and transposons for improved transgene integration and expression.

Reliable and long-term expression of transgenes remain significant challenges for gene therapy and biotechnology applications, especially when antibiotic selection procedures are not applicable. In this context, transposons represent attractive gene transfer vectors because of their ability to promote efficient genomic integration in a variety of mammalian cell types. However, expression from genome-integrating vectors may be inhibited by variable gene transcription and/or silencing events. In this study, we assessed whether inclusion of two epigenetic control elements, the human Matrix Attachment Region (MAR) 1-68 and X-29, in a piggyBac transposon vector, may lead to more reliable and efficient expression in CHO cells. We found that addition of the MAR 1-68 at the center of the transposon did not interfere with transposition frequency, and transgene expressing cells could be readily detected from the total cell population without antibiotic selection. Inclusion of the MAR led to higher transgene expression per integrated copy, and reliable expression could be obtained from as few as 2-4 genomic copies of the MAR-containing transposon vector. The MAR X-29-containing transposons was found to mediate elevated expression of therapeutic proteins in polyclonal or monoclonal CHO cell populations using a transposable vector devoid of selection gene. Overall, we conclude that MAR and transposable vectors can be used to improve transgene expression from few genomic transposition events, which may be useful when expression from a low number of integrated transgene copies must be obtained and/or when antibiotic selection cannot be applied.

Cumulative cultural dynamics and the coevolution of cultural innovation and transmission: an ESS model for panmictic and structured populations.

When individuals in a population can acquire traits through learning, each individual may express a certain number of distinct cultural traits. These traits may have been either invented by the individual himself or acquired from others in the population. Here, we develop a game theoretic model for the accumulation of cultural traits through individual and social learning. We explore how the rates of innovation, decay, and transmission of cultural traits affect the evolutionary stable (ES) levels of individual and social learning and the number of cultural traits expressed by an individual when cultural dynamics are at a steady-state. We explore the evolution of these phenotypes in both panmictic and structured population settings. Our results suggest that in panmictic populations, the ES level of learning and number of traits tend to be independent of the social transmission rate of cultural traits and is mainly affected by the innovation and decay rates. By contrast, in structured populations, where interactions occur between relatives, the ES level of learning and the number of traits per individual can be increased (relative to the panmictic case) and may then markedly depend on the transmission rate of cultural traits. This suggests that kin selection may be one additional solution to Rogers's paradox of nonadaptive culture.

A validated assay for measuring doxorubicin in biological fluids and tissues in an isolated lung perfusion model: matrix effect and heparin interference strongly influence doxorubicin measurements.

Doxorubicin is an antineoplasic agent active against sarcoma pulmonary metastasis, but its clinical use is hampered by its myelotoxicity and its cumulative cardiotoxicity, when administered systemically. This limitation may be circumvented using the isolated lung perfusion (ILP) approach, wherein a therapeutic agent is infused locoregionally after vascular isolation of the lung. The influence of the mode of infusion (anterograde (AG): through the pulmonary artery (PA); retrograde (RG): through the pulmonary vein (PV)) on doxorubicin pharmacokinetics and lung distribution was unknown. Therefore, a simple, rapid and sensitive high-performance liquid chromatography method has been developed to quantify doxorubicin in four different biological matrices (infusion effluent, serum, tissues with low or high levels of doxorubicin). The related compound daunorubicin was used as internal standard (I.S.). Following a single-step protein precipitation of 500 microl samples with 250 microl acetone and 50 microl zinc sulfate 70% aqueous solution, the obtained supernatant was evaporated to dryness at 60 degrees C for exactly 45 min under a stream of nitrogen and the solid residue was solubilized in 200 microl of purified water. A 100 microl-volume was subjected to HPLC analysis onto a Nucleosil 100-5 microm C18 AB column equipped with a guard column (Nucleosil 100-5 microm C(6)H(5) (phenyl) end-capped) using a gradient elution of acetonitrile and 1-heptanesulfonic acid 0.2% pH 4: 15/85 at 0 min-->50/50 at 20 min-->100/0 at 22 min-->15/85 at 24 min-->15/85 at 26 min, delivered at 1 ml/min. The analytes were detected by fluorescence detection with excitation and emission wavelength set at 480 and 550 nm, respectively. The calibration curves were linear over the range of 2-1000 ng/ml for effluent and plasma matrices, and 0.1 microg/g-750 microg/g for tissues matrices. The method is precise with inter-day and intra-day relative standard deviation within 0.5 and 6.7% and accurate with inter-day and intra-day deviations between -5.4 and +7.7%. The in vitro stability in all matrices and in processed samples has been studied at -80 degrees C for 1 month, and at 4 degrees C for 48 h, respectively. During initial studies, heparin used as anticoagulant was found to profoundly influence the measurements of doxorubicin in effluents collected from animals under ILP. Moreover, the strong matrix effect observed with tissues samples indicate that it is mandatory to prepare doxorubicin calibration standard samples in biological matrices which would reflect at best the composition of samples to be analyzed. This method was successfully applied in animal studies for the analysis of effluent, serum and tissue samples collected from pigs and rats undergoing ILP.

Migrating concepts: Immigrant integration and the regulation of religious dress in France and Canada

Religion in general, and Islam in particular, has become one of the main focal points of policy-making and constitutional politics in many Western liberal states. This article proposes to examine the legal and political dynamics behind new regulations targeting individual religious practices of Muslims. Although one could presuppose that church-state relations or the understanding of secularism is the main factor accounting for either accommodation or prohibition of Muslim religious practices, I make the case that the policy frame used to conceptualize the integration of immigrants in each national context is a more significant influence on how a liberal state approaches the legal regulation of individual practices such as veiling. However, this influence must be assessed carefully since it may have different effects on the different institutional actors in charge of regulating religion, such as the Courts and the legislature. To assess these hypotheses I compare two countries, France and Canada, which are solid examples of two contrasting national policy frames for the integration of immigrants.

Multi-scale integration and predictability in resting state brain activity.

The human brain displays heterogeneous organization in both structure and function. Here we develop a method to characterize brain regions and networks in terms of information-theoretic measures. We look at how these measures scale when larger spatial regions as well as larger connectome sub-networks are considered. This framework is applied to human brain fMRI recordings of resting-state activity and DSI-inferred structural connectivity. We find that strong functional coupling across large spatial distances distinguishes functional hubs from unimodal low-level areas, and that this long-range functional coupling correlates with structural long-range efficiency on the connectome. We also find a set of connectome regions that are both internally integrated and coupled to the rest of the brain, and which resemble previously reported resting-state networks. Finally, we argue that information-theoretic measures are useful for characterizing the functional organization of the brain at multiple scales.