Long-range ferromagnetic dipolar ordering of high-spin molecular clusters

We report the first example of a transition to long-range magnetic order in a purely dipolarly interacting molecular magnet. For the magnetic cluster compound Mn6O4Br4(Et2dbm)6, the anisotropy experienced by the total spin S=12 of each cluster is so small that spin-lattice relaxation remains fast down to the lowest temperatures, thus enabling dipolar order to occur within experimental times at Tc=0.16 K. In high magnetic fields, the relaxation rate becomes drastically reduced and the interplay between nuclear- and electron-spin lattice relaxation is revealed.

Using transcription modules to identify expression clusters perturbed in Williams-Beuren syndrome.

The genetic dissection of the phenotypes associated with Williams-Beuren Syndrome (WBS) is advancing thanks to the study of individuals carrying typical or atypical structural rearrangements, as well as in vitro and animal studies. However, little is known about the global dysregulations caused by the WBS deletion. We profiled the transcriptomes of skin fibroblasts from WBS patients and compared them to matched controls. We identified 868 differentially expressed genes that were significantly enriched in extracellular matrix genes, major histocompatibility complex (MHC) genes, as well as genes in which the products localize to the postsynaptic membrane. We then used public expression datasets from human fibroblasts to establish transcription modules, sets of genes coexpressed in this cell type. We identified those sets in which the average gene expression was altered in WBS samples. Dysregulated modules are often interconnected and share multiple common genes, suggesting that intricate regulatory networks connected by a few central genes are disturbed in WBS. This modular approach increases the power to identify pathways dysregulated in WBS patients, thus providing a testable set of additional candidates for genes and their interactions that modulate the WBS phenotypes.

Early clarification processes in clients presenting with borderline personality disorder: Relations with symptom level and change

Clarification-Oriented Psychotherapy (COP), an integrative treatment form with a basis in process-experiential psychotherapy, is particularly relevant for clients with Personality Disorders (PDs). We argue here that two related core therapeutic COP principles, "dual action regulation" and "interactional games" have consequences for symptom severity and therapeutic outcome for clients with PDs. A high quality COP clarification process requires that client's interactional games may be quickly assessed and treated in all (preferably early) therapy sessions. These processes can be observed and measured using the observer-rated Bochum Process and Relationship Rating Scales (BPRRS) which measure both clients' and therapists' contributions to the quality of the clarification processes engaged in therapy. This measure has been successfully applied to COP-therapies, but not, as yet, to therapies other than experiential, nor to specific client populations such as borderline personality disorder. The present study is a first attempt to evaluate the application of COP processes to other therapies and populations. We measured action regulation and interactional games using the BPRRS during intake sessions of a 10-session psychodynamic treatment of borderline personality disorder for a total of N = 30 clients and N = 8 therapists. Significant relationships were found between the client's degree of interactional games and both pretherapy symptom level and symptom change across therapy. These results are discussed in the context of Clarification-Oriented Psychotherapy, and more generally Person-Centered and Process-Experiential Psychotherapies. The potential relevance of the findings for psychodynamic psychotherapists are explored as well as the potential usefulness of taking into account a detailed analysis of interactional games for the training of psychotherapists working with any model of therapy working with clients presenting with BPD.

Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease.

The early diagnostic value of glucose hypometabolism and atrophy as potential neuroimaging biomarkers of mild cognitive impairment (MCI) and Alzheimer's disease (AD) have been extensively explored using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (MRI). The vast majority of previous imaging studies neglected the effects of single factors, such as age, symptom severity or time to conversion in MCI thus limiting generalisability of results across studies. Here, we investigated the impact of these factors on metabolic and structural differences. FDG-PET and MRI data from AD patients (n = 80), MCI converters (n = 65) and MCI non-converters (n = 64) were compared to data of healthy subjects (n = 79). All patient groups were split into subgroups by age, time to conversion (for MCI), or symptom severity and compared to the control group. AD patients showed a strongly age-dependent pattern, with younger patients showing significantly more extensive reductions in gray matter volume and glucose utilisation. In the MCI converter group, the amount of glucose utilisation reduction was linked to the time to conversion but not to atrophy. Our findings indicate that FDG-PET might be more closely linked to future cognitive decline whilst MRI being more closely related to the current cognitive state reflects potentially irreversible damage.

Memory-based scheduling of scientific computing clusters

This study looks at how increased memory utilisation affects throughput and energy consumption in scientific computing, especially in high-energy physics. Our aim is to minimise energy consumed by a set of jobs without increasing the processing time. The earlier tests indicated that, especially in data analysis, throughput can increase over 100% and energy consumption decrease 50% by processing multiple jobs in parallel per CPU core. Since jobs are heterogeneous, it is not possible to find an optimum value for the number of parallel jobs. A better solution is based on memory utilisation, but finding an optimum memory threshold is not straightforward. Therefore, a fuzzy logic-based algorithm was developed that can dynamically adapt the memory threshold based on the overall load. In this way, it is possible to keep memory consumption stable with different workloads while achieving significantly higher throughput and energy-efficiency than using a traditional fixed number of jobs or fixed memory threshold approaches.

Symptom Check-List-90-R: fiabilidad, datos normativos y estructura factorial en estudiantes universitarios

El Symptom Checklist-90-R (SCL-90-R) es uno de los instrumentos más ampliamente utilizados en la medición de la sintomatología psicopatológica en población clínica y en población general. Ya que gran parte de la investigación en psicopatología se realiza con estudiantes universitarios, este estudio instrumental pretende proporcionar datos de referencia para esta población. Analizamos las propiedades psicométricas de esta escala en una muestra representativa de 1.277 estudiantes de la Universidad de Girona. Las dimensiones con puntuaciones más elevadas para el total de la muestra son Obsesividad-compulsividad, Depresión y Sensibilidad interpersonal. Los resultados muestran diferencias significativas entre hombres y mujeres. La fiabilidad de la escala resulta muy aceptable, con unos coeficientes de consistencia interna de las nueve dimensiones primarias y del GSI, que oscilan entre 0,69 y 0,97. El análisis de la estructura factorial y la fuerte interdependencia entre las escalas primarias cuestionan la multidimensionalidad del SCL-90-R y refuerzan la idea de que el instrumento proporciona una medida de distrés general, es decir, es un indicador unidimensional de malestar psicológico más que una medida de dimensiones psicopatológicas diferenciadas

Clusters of entrepreneurship

Employment growth is strongly predicted by smaller average establishment size, both acrosscities and across industries within cities, but there is little consensus on why this relationshipexists. Traditional economic explanations emphasize factors that reduce entry costs or raiseentrepreneurial returns, thereby increasing net returns and attracting entrepreneurs. A secondclass of theories hypothesizes that some places are endowed with a greater supply of entrepreneurship. Evidence on sales per worker does not support the higher returns for entrepreneurshiprationale. Our evidence suggests that entrepreneurship is higher when fixed costs are lower andwhen there are more entrepreneurial people.

Isolated disturbance of written language-acquisition as an initial symptom of epileptic aphasia in a 7-year-old child - a 3-year follow-up-study

A 7-year-old right-handed girl developed partial complex seizures with a left-sided onset. A brief period of post-ictal aphasia of the conduction type was documented before seizure control and complete normalization of oral language were obtained. We also found that she had a history of previous unexplained difficulty with written language acquisition that had occurred prior to the clinically recognized epilepsy and a subsequent loss of this ability. This rapidly improved with control of the epilepsy. The evolution of written language were been followed for 3 years, and continued improvement has occurred with fluctuations related to her epilepsy. This observation adds support to the growing body of data indicating that specific cognitive disturbances can be due to epilepsy in young children. It shows the vulnerability of skills which are in a period of active development, and the possibility that oral/written language can be differentially involved by cerebral dysfunction in the young child.

Formation of virus-like clusters is an intrinsic property of the tumor necrosis factor family member BAFF (B cell activating factor).

The oligomeric state of BAFF (B cell activing factor), a tumor necrosis factor (TNF) family cytokine that plays a critical role in B cell development and survival, has been the subject of recent debate. Myc-tagged BAFF starting at residue Gln136 was previously reported to crystallize as trimers at pH 4.5, whereas a histidine-tagged construct of BAFF, starting at residue Ala134, formed a virus-like cluster containing 60 monomers when crystallized at pH 9.0. The formation of the BAFF 60-mer was pH dependent, requiring pH >or= 7.0. More recently, 60-mer formation was suggested to be artificially induced by the histidine tag, and it was proposed that BAFF, like all other TNF family members, is trimeric. We report here that a construct of BAFF with no amino-terminal tag (Ala134-BAFF) can form a 60-mer in solution. Using size exclusion chromatography and static light scattering to monitor trimer to 60-mer ratios in BAFF preparations, we find that 60-mer formation is pH-dependent and requires histidine 218 within the DE loop of BAFF. Biacore measurements established that the affinity of Ala134-BAFF for the BAFF receptor BAFFR/BR3 is similar to that of myc-Gln136-BAFF, which is exclusively trimeric in solution. However, Ala134-BAFF is more efficacious than myc-Gln136-BAFF in inducing B cell proliferation in vitro. We additionally show that BAFF that is processed and secreted by 293T cells transfected with full-length BAFF, or by a histiocytic lymphoma cell line (U937) that expresses BAFF endogenously, forms a pH-dependent 60-mer in solution. Our results indicate that the formation of the 60-mer in solution by the BAFF extracellular domain is an intrinsic property of the protein, and therefore that this more active form of BAFF may be physiologically relevant.

Nuevas técnicas de estadística espacial para la detección de clusters residenciales de población inmigrante

La estadística aplicada a la geografía ha experimentado un avance espectacular en las últimas dos décadas introduciéndose el espacio como eje fundamental del análisis. Este avance se ha visto acompañado por un rápido desarrollo de aplicaciones estadísticas integradas en los sistemas de información geográfica, constituyéndose de esta forma en un conjunto de herramientas imprescindibles en la planificación territorial. Por otro lado, en España, el incremento de población inmigrada en un corto intervalo de tiempo ha hecho necesario analizar su distribución espacial en las áreas urbanas. Los índices de autocorrelación espacial, tanto global como local, y su representación cartográfica constituyen una técnica adecuada para la detección de clusters y patrones espaciales y abre la posibilidad de plantear diferentes modelos econométricos. A partir del caso de la ciudad de Barcelona se aplican las técnicas descritas y se observan los diferentes comportamientos según el grupo de población estudiado.

Emergence of Swiss metropole and scaling properties of urban clusters

Defining the limits of an urban agglomeration is essential both for fundamental and applied studies in quantitative and theoretical geography. A simple and consistent way for defining such urban clusters is important for performing different statistical analysis and comparisons. Traditionally, agglomerations are defined using a rather qualitative approach based on various statistical measures. This definition varies generally from one country to another, and the data taken into account are different. In this paper, we explore the use of the City Clustering Algorithm (CCA) for the agglomeration definition in Switzerland. This algorithm provides a systemic and easy way to define an urban area based only on population data. The CCA allows the specification of the spatial resolution for defining the urban clusters. The results from different resolutions are compared and analysed, and the effect of filtering the data investigated. Different scales and parameters allow highlighting different phenomena. The study of Zipf's law using the visual rank-size rule shows that it is valid only for some specific urban clusters, inside a narrow range of the spatial resolution of the CCA. The scale where emergence of one main cluster occurs can also be found in the analysis using Zipf's law. The study of the urban clusters at different scales using the lacunarity measure - a complementary measure to the fractal dimension - allows to highlight the change of scale at a given range.

Postictal cortical visual impairment: A symptom of posterior reversible encephalopathy.

We describe a patient presenting with a first generalized convulsion after alcohol consumption, in whom the early postictal finding of a rapidly regressive cortical visual impairment suggested the presence of a posterior reversible encephalopathy. This was confirmed radiologically, and probably represented the key factor in the seizure etiology.

Detection of clusters using space-time scan statistics

This paper aims at detecting spatio-temporal clustering in fire sequences using space?time scan statistics, a powerful statistical framework for the analysis of point processes. The methodology is applied to active fire detection in the state of Florida (US) identified by MODIS (Moderate Resolution Imaging Spectroradiometer) during the period 2003?06. Results of the present study show that statistically significant clusters can be detected and localized in specific areas and periods of the year. Three out of the five most likely clusters detected for the entire frame period are localized in the north of the state, and they cover forest areas; the other two clusters cover a large zone in the south, corresponding to agricultural land and the prairies in the Everglades. In order to analyze if the wildfires recur each year during the same period, the analyses have been performed separately for the 4 years: it emerges that clusters of forest fires are more frequent in hot seasons (spring and summer), while in the southern areas, they are widely present during the whole year. The recognition of overdensities of events and the ability to locate them in space and in time can help in supporting fire management and focussing on prevention measures.

Dimensional structure of the Brief Symptom Inventory with Spanish College students.

The Brief Symptom Inventory is designed to assess symptoms of psychological disorders in adolescents and adults. The dimensional structure of the inventory, using exploratory and confirmatory factor analyses, was examined with a cross-sectional design in a Spanish sample of college students (N = 1,033, aged between 18 and 30 years old). Two hypotheses were tested: the original distribution of the items in nine factors, and the unidimensionality of the inventory. According to the results, a nine-factor structure seemed to be confirmed, although the strong intercorrelations found among the subscales indicated that these were measuring closely related constructs. The importance of cultural influences when assessing psychological symptoms and the need to develop national and sex norms for instruments that assess psychopathology, are also discussed.