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At least 253 records · Page 14Linked to original sources

Photodissociation of hydrogen iodide on the surface of large argon clusters: the orientation of the librational wave function and the scattering from the cluster cage.

A set of photodissociation experiments and simulations of hydrogen iodide (HI) on Arn clusters, with an average size n = 139, has been carried out for different laser polarizations. The doped clusters are prepared by a pick-up process. The HI molecule is then photodissociated by a UV laser pulse and the outgoing H fragment is ionized by resonance enhanced multiphoton ionization in a (2 + 1) excitation scheme within the same laser pulse at the wavelength of 243 nm. The measured time-of-flight spectra are transformed into hydrogen kinetic energy distributions. They exhibit a strong fraction of caged H atoms at zero-kinetic energy and peaks at the unperturbed cage exit for both spin-orbit channels nearly independent of the polarization. At this dissociation wavelength, the bare HI molecule exhibits a strict state separation, with a parallel transition to the spin-orbit excited state and perpendicular transitions to the ground state. The experimental results have been reproduced using molecular simulation techniques. Classical molecular dynamics was used to estimate the HI dopant distribution after the pick-up procedure. Subsequently, quasi-classical molecular dynamics (Wigner trajectories approach) has been applied for the photodissociation dynamics. The following main results have been obtained: (i) The HI dopant lands on the surface of the argon cluster during the pick-up process, (ii) zero-point energy plays a dominant role for the hydrogen orientation in the ground state of HI-Arn surface clusters, qualitatively changing the result of the photodissociation experiment upon increasing the number of argon atoms, and, finally, (iii) the scattering of hydrogen atoms from the cage which originate from different dissociation states seriously affects the experimentally measured kinetic energy distributions.

Journal Article↗

A comparison of gains after treatment at a psychiatric outpatient clinic in patients with cluster A + B, or cluster C personality disorders, and non-psychotic axis I disorders.

Few studies exist on the outcome of patients with personality disorders (PDs) treated at ordinary outpatient clinics. This study examines the gains of such patients 2 years after treatment start at an outpatient clinic. Three patient groups were sampled: cluster A + B PDs, cluster C PDs and axis I disorders. Fifty-eight patients (53%) were amenable to follow-up, and they did not show less psychopathology than the non-compliers. All patients had structured interviews and filled in questionnaires. Patients in the PDs cluster A + B group showed considerable gains, while that was not found for the PDs cluster C and Axis I disorder groups. Since almost all patients received long-term psychotherapy sometimes combined with antidepressant drugs, the finding that such a treatment mainly shows gains in more severely disturbed PDs patients should be replicated in larger samples at ordinary psychiatric outpatient clinics.

Adolescent↗

Cluster Selection and the Evolution of Brightest Cluster Galaxies.

The K-band Hubble diagram of brightest cluster galaxies (BCGs) is presented for a large, X-ray-selected cluster sample extending out to z=0.8. The controversy over the degree of BCG evolution is shown to be due to sample selection since the BCG luminosity depends on the cluster environment. Selecting only the most X-ray luminous clusters produces a BCG sample that shows, under the assumption of an Einstein-de Sitter cosmology, significantly less mass growth than that predicted by current semianalytic galaxy formation models, and significant evidence of any growth only if the dominant stellar population of the BCGs formed relatively recently (z</=2.6).

Journal Article↗

Stochastic hierarchical model for cluster-cluster aggregation.

A stochastic hierarchical model of cluster-cluster aggregation, which is obtained by introducing a sticking probability into the recently proposed hierarchical model by Sornsen and Oh [Phys. Rev. E 58, 7545 (1998)], is presented. The fractal dimension and aspect ratio calculated using the model give good agreement with those obtained in standard simulations of cluster-cluster aggregates. An interesting result is that the fractal dimension shows a peak as a function of the sticking probability.

Journal Article↗

Formation and structure of stable aggregates in binary diffusion-limited cluster-cluster aggregation processes.

Binary diffusion-limited cluster-cluster aggregation processes are studied as a function of the relative concentration of the two species. Both, short and long time behaviors are investigated by means of three-dimensional off-lattice Brownian Dynamics simulations. At short aggregation times, the validity of the Hogg-Healy-Fuerstenau approximation is shown. At long times, a single large cluster containing all initial particles is found to be formed when the relative concentration of the minority particles lies above a critical value. Below that value, stable aggregates remain in the system. These stable aggregates are composed by a few minority particles that are highly covered by majority ones. Our off-lattice simulations reveal a value of approximately 0.15 for the critical relative concentration. A qualitative explanation scheme for the formation and growth of the stable aggregates is developed. The simulations also explain the phenomenon of monomer discrimination that was observed recently in single cluster light scattering experiments.

Journal Article↗

Bridging the cluster-to-bulk divide: electron attachment time-of-flight mass spectrometry reveals geometrical shell closings in (SF6) (n) clusters (n = 2 - 550).

We report electron attachment time-of-flight mass spectra of SF (6) clusters over a wide range of cluster sizes, revealing a simple pattern of geometrical shell closings which persists from large clusters (n approximately 500) to as small as perhaps n = 14. Quantitative structural properties of these nanocrystallites are derived. These observations, made possible by an extraordinarily gentle ionization method and mass spectral analysis, suggest that bulk crystalline packing may be important for much smaller molecular clusters than previously observed, confirming theoretical predictions.

Chemistry, Inorganic↗

Genetic organization of the Escherichia coli K10 capsule gene cluster: identification and characterization of two conserved regions in group III capsule gene clusters encoding polysaccharide transport functions.

Analysis of the Escherichia coli K10 capsule gene cluster identified two regions, regions 1 and 3, conserved between different group III capsule gene clusters. Region 1 encodes homologues of KpsD, KpsM, KpsT, and KpsE proteins, and region 3 encodes homologues of the KpsC and KpsS proteins. An rfaH mutation abolished K10 capsule production, suggesting that expression of the K10 capsule was regulated by RfaH in a manner analogous to group II capsule gene clusters. An IS3 element and a phiR73-like prophage, both of which may have played a role in the acquisition of group III capsule gene clusters, were detected flanking the K10 capsule genes.

Amino Acid Sequence↗

Flocculation and percolation in reversible cluster-cluster aggregation.

Off-lattice dynamic Monte-Carlo simulations were done of reversible cluster-cluster aggregation for spheres that form rigid bonds at contact. The equilibrium properties were found to be determined by the life time of encounters between two particles (te). te is a function not only of the probability to form or break a bond, but also of the elementary step size of the Brownian motion of the particles. In the flocculation regime the fractal dimension of the clusters is df=2.0 and the size distribution has a power law decay with exponent tau=1.5. At larger values of te transient gels are formed. Close to the percolation threshold the clusters have a fractal dimension df=2.7 and the power law exponent of the size distribution is tau=2.1. The transition between flocculation and percolation occurs at a characteristic weight average aggregation number that decreases with increasing volume fraction.

Journal Article↗

Two large clusters with thirty-seven transfer RNA genes adjacent to ribosomal RNA gene sets in Bacillus subtilis. Sequence and organization of trrnD and trrnE gene clusters.

Sequences of two large tRNA gene clusters (trrnD and trrnE) in Bacillus subtilis 168 revealed 16 and 21 tRNA genes, respectively, as identified by anticodon assignments. Each cluster contains upstream flanking 23 and 5 S rRNA sequences. The 23-5 S intergenic space in trrnE corresponds exactly to the analogous space in trrnB, which was previously sequenced (Wawrousek, E.F., and Hansen, J.N. (1983) J.Biol. Chem. 258, 291-298). The 5 S rRNA genes in trrnB and trrnE are B. subtilis major species; but trrnD possesses a minor species (Raue, H.A., and Planta, R. J. (1977) Mol. Gen. Genet. 156, 185-193) gene with a putative promoter that may allow differential expression with respect to the upstream rRNA gene set. Most of the tRNA genes are probably expressed as large transcriptional units, except for a LeuTTG tRNA in the trrnD cluster that appears to constitute its own operon with putative promoter and terminator sequences. Although all the amino acids are represented among the tRNA anticodons, there are few repeats of amino acid types within clusters; trrnD with 16 tRNA genes has anticodons corresponding to 15 amino acids. About two-thirds of the tRNA genes encode a 3'-terminal-CCA, and these are intermingled with those that do not, with no apparent pattern.

Anticodon↗

Cluster: a software system for epidemiologic cluster analysis.

A software package for cluster analysis was developed that incorporates 12 methods to analyse residence and time data, and morbidity or mortality rates. The Knox, Barton, Chen and Ohno methods of the software are illustrated with data for 123 cancer cases reported by a citizen requesting a cluster investigation. Longitude and latitude for each address were assigned by a geographic information system for analyses with the Barton (p > 0.05) and Knox methods (p > 0.05). The data were also analysed for time of the event with the Chen method, comparing the observed incidence to expected county disease rates (p = 0.61), and for temporal patterns within the geographically defined population with the Ohno method (p >0.05). It was concluded that no statistically significant disease cluster existed.

Adolescent↗

Estimating the mean hazard ratio parameters for clustered survival data with random clusters.

We consider a latent variable hazard model for clustered survival data where clusters are a random sample from an underlying population. We allow interactions between the random cluster effect and covariates. We use a maximum pseudo-likelihood estimator to estimate the mean hazard ratio parameters. We propose a bootstrap sampling scheme to obtain an estimate of the variance of the proposed estimator. Application of this method in large multi-centre clinical trials allows one to assess the mean treatment effect, where we consider participating centres as a random sample from an underlying population. We evaluate properties of the proposed estimators via extensive simulation studies. A real data example from the Studies of Left Ventricular Dysfunction (SOLVD) Prevention Trial illustrates the method.

Adult↗

Putting theory into practice: a cluster randomized trial with a small number of clusters.

Many of the difficulties encountered in the design, organization and analysis of cluster randomized trials arise from the dual nature of such trials; that is, they focus on both the cluster and the individual. A trial now in progress to compare three methods of promoting secondary prevention of coronary heart disease in primary care includes only 21 general practices, but 2142 patients, and thus contains the problems of both small and large samples. With only seven practices in each arm, the trial demanded carefully restricted randomization, may be difficult to analyse, and risks loss of power if one practice should drop out. At the same time, the large number of patients makes for an expensive and administratively complex study. The simultaneous demands of clarity and thoroughness point to an analysis at both cluster and individual level. With two different approaches, however, there may be difficulties of presentation, even if the results agree, and additional problems of interpretation if they do not. Finally, practical considerations may conflict with theoretical demands. Since the trial contained a service element, all patients with heart disease had to be included, even though it would have been more efficient to take only a sample of patients from some practices.

Aged↗

Variance estimation for clustered recurrent event data with a small number of clusters.

Often in biomedical studies, the event of interest is recurrent and within-subject events cannot usually be assumed independent. In semi-parametric estimation of the proportional rates model, a working independence assumption leads to an estimating equation for the regression parameter vector, with within-subject correlation accounted for through a robust (sandwich) variance estimator; these methods have been extended to the case of clustered subjects. We consider variance estimation in the setting where subjects are clustered and the study consists of a small number of moderate-to-large-sized clusters. We demonstrate through simulation that the robust estimator is quite inaccurate in this setting. We propose a corrected version of the robust variance estimator, as well as jackknife and bootstrap estimators. Simulation studies reveal that the corrected variance is considerably more accurate than the robust estimator, and slightly more accurate than the jackknife and bootstrap variance. The proposed methods are used to compare hospitalization rates between Canada and the U.S. in a multi-centre dialysis study.

Canada↗

Expression profiles of pea pathogenicity ( PEP) genes in vivo and in vitro, characterization of the flanking regions of the PEP cluster and evidence that the PEP cluster region resulted from horizontal gene transfer in the fungal pathogen Nectria haematococca.

A cluster of pathogenicity genes ( PEP1, PEP2, PDA1, PEP5), termed the pea pathogenicity ( PEP) cluster and located on a 1.6-Mb conditionally dispensable (CD) chromosome, was identified in the fungal pathogen Nectria haematococca. Studies determined that the expression of PDA1 is induced in both infected pea tissues and in vitro by the phytoalexin pisatin. The present study reports the use of real-time quantitative RT-PCR to monitor the expression of each PEP gene and PDA1. In mycelia actively growing in culture, the mRNA levels of PEP1, PEP5 and PDA1 were very low and the PEP2 transcript was undetectable. In planta, PDA1 and PEP2 were strongly induced, while PEP1 and PEP5 were moderately induced. Starvation slightly enhanced the expression of PEP1, PDA1 and PEP5, while the expression of PEP2 remained undetectable. Exposure to pisatin in culture stimulated the expression of PDA1 and each PEP gene to a similar level as occurred in planta. In addition, all four pathogenicity genes displayed similar temporal patterns of expression in planta and in vitro, consistent with a coordinated regulation of these genes by pisatin during pea pathogenesis. In the flanking regions of the PEP cluster, six open reading frames (ORFs) were identified and all were expressed during infection of pea. Comparison of the codon preferences of these ORFs and seven additional genes from CD chromosomes with the codon preferences of 21 genes from other chromosomes revealed there is a codon bias that correlates with the source of the genes. This difference in codon bias is consistent with the hypothesis that genes on the CD chromosome have a different origin from genes of normal chromosomes, suggesting that horizontal gene transfer may have played a role in the evolution of pathogenesis in N. haematococca.

Actins↗

Application of dot immunobinding on membrane filtration (MF dot) to the study of relationships within "M. mycoides cluster" and within "glucose and arginine-negative cluster" of ruminant mycoplasmas.

A total of 189 isolates from cattle, sheep and goats, allocated to two groups on biochemical grounds, have been examined by a dot immunobinding membrane-filtration (MF dot) method. Seventy glucose fermenting isolates, showing relationships with the "Mycoplasma mycoides cluster", have been compared by MF dot against polyclonal hyperimmunesera prepared against the following reference strains: M. mycoides subsp. mycoides, small colony type (SC), strain PG1 and large colony type (LC) strain Y Goat; M. capricolum strain California Kid (CK); M. species bovine serogroup 7 strain PG50, and, ovine/caprine serogroup 11 strain 2-D. The isolates fell into 5 main groups: (a) 14 serologically homogeneous isolates similar to subsp. mycoides SC PG1 (b) 4 homogeneous isolates similar to PG50 (c) 14 isolates all serologically similar to Y Goat, but heterogeneously reactive with subsp. capri PG3 and M. capricolum CK antisera (d) 7 isolates serologically similar to subsp. capri PG3, but heterogeneously reactive with subsp. mycoides SC PG1, M. capricolum CK and 2-D antisera (e) 28 isolates strongly reactive with both M. capricolum CK and serogroup 7 PG50 antisera. 119 isolates that were all glucose and arginine negative were also compared by the MF dot method with the reference strains. Most of these could be classified definitely as M. bovis (78 isolates), M. agalactiae (21 isolates) and serogroup 11 (5 isolates). 13 isolates gave a strong reaction with both M. bovigenitalium and serogroup p11 antisera. 2 isolates showed an unclassifiable pattern. The results confirm that the glucose and arginine-negative cluster strains that reacted with 2-D antiserum, also share serological relationships with the "M. mycoides cluster", albeit with a very heterogeneous pattern.

Animals↗

Viruses, clusters and clustering of childhood leukaemia: a new perspective?

Clusters of childhood leukaemia have, during a lengthy and controversial history, focussed attention on two alternative putative aetiological agents: infections and localised environmental pollution. In the United Kingdom emphasis is currently placed on the latter because of reports of localised clusters in the vicinity of two nuclear reprocessing plants. Now the most recent studies of spatial clustering in the United Kingdom also support the hypothesis that a substantial population of cases of childhood acute lymphoblastic leukaemia (ALL) arise as a rare host response to certain patterns of exposure to common infectious agents--the aberrant response model. Relevant aspects of the epidemiology of ALL are reviewed from this perspective and the hypothesis shown to be capable of unifying reported associations with different types of risk factor. It is probable that specific agent(s) are involved though none have been identified and these may share many epidemiological characteristics of herpes viruses. The possible relevance of these results to associations with prenatal parental occupational exposures to dusts and ionising radiation is explored.

Adolescent↗

Hormone-evoked elementary Ca2+ signals are not stereotypic, but reflect activation of different size channel clusters and variable recruitment of channels within a cluster.

Previous studies of (InsP3)-evoked elementary Ca2+ events suggested a hierarchy of signals; fundamental events ("Ca2+ blips") arising from single InsP3 receptors (InsP3Rs), and intermediate events ("Ca2+ puffs") reflecting the coordinated opening of a cluster of InsP3Rs. The characteristics of such elementary Ca2+ release signals provide insights into the functional interaction and distribution of InsP3Rs in living cells. Therefore we investigated whether elementary Ca2+ signaling is truly represented by such stereotypic release events. A histogram of >900 events revealed a wide spread of signal amplitudes (20-600 nM; mean 216 +/- 4 nM; n = 206 cells), which cannot be explained by stochastic variation of a stereotypic Ca2+ release site. We identified elementary Ca2+ release sites with consistent amplitudes (<20% difference) and locations with variable amplitudes (approximately 500% difference). Importantly, within single cells, distinct sites displayed events with significantly different mean amplitudes. Additional determinants affecting the magnitude of elementary Ca2+ release were identified to be (i) hormone concentration, (ii) day-to-day variability, and (iii) a progressively decreasing Ca2+ release during prolonged stimulation. We therefore suggest that elementary Ca2+ events are not stereotypic, instead a continuum of signals can be achieved by either recruitment of entire clusters with different numbers of InsP3Rs or by a graded recruitment of InsP3Rs within a cluster.

Calcium↗

An improved cluster labeling method for support vector clustering.

The support vector clustering (SVC) algorithm is a recently emerged unsupervised learning method inspired by support vector machines. One key step involved in the SVC algorithm is the cluster assignment of each data point. A new cluster labeling method for SVC is developed based on some invariant topological properties of a trained kernel radius function. Benchmark results show that the proposed method outperforms previously reported labeling techniques.

Algorithms↗