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OBJECTIVES We aimed to investigate the efficacy and safety of a belt mechanism (anjiobelt), which we developed recently and patented, which allows mobility after coronary operations and the application of adjustable pressure to the femoral artery. STUDY DESIGN Between October 2012 and April 2013, 189 consecutive patients undergoing percutaneous coronary intervention electively or due to acute coronary syndrome were enrolled. There were 96 patients in the sandbag group and 93 patients in anjiobelt group. Manual compression was applied to the femoral artery until reaching primary homeostasis. Then, a 4-5 kilogram sandbag or anjiobelt was placed. Mobilization was allowed in case of need in the anjiobelt group. Twenty-four hours after the procedure, superficial bruising in the femoral region, hematoma, pseudo-aneurysm, and arteriovenous fistula, as femoral artery complications, were noted using Doppler ultrasound. RESULTS Hematoma occurred more frequently in the sandbag group. Hematoma of

Among the many super plasticizer, polycarboxylate super plasticizer because of its high water reduction rate, good slump, low admixing v olume and no significantly retarding have become a emphasis in the development and application. This paper through the experiment to determine super plasticizer use in project and tested the water reducing agent performance. The results show that when the defoamer admixture is 0.05%, the water-reducing agent can meet the subway segment concrete workability and mechanical property requirements. Suitable for segment concrete in actual production.

ParaModel is an extensible system for simplifying the development of parallel applications, by providing a unified user interface for modeling visually while generating different code skeletons according to specific runtime environment automatically. A set of construction blocks and rules is designed to describe parallel applications in form of graph, and parsers for different parallel environments are implemented to translate graph to source code skeletons. ParaModel is implemented basing on Eclipse and compatible with its plug-in architecture. With the help of ParaModel, developers can focus on high level design and obtain code skeletons from visually constructed graphical models.

Mediterranean water inflow into the Black Sea has been investigated using current measurements at the northern sill of the Strait of Istanbul (Bosphorus). Variability of the inflow and its relation to sea level and atmospheric factors were studied. Current and salinity spectra show internal variability with periods of 3.5 days. This is correlated with N-S wind component and sea level variations. During southerly wind episodes the lower layer flow increases and relatively well-mixed Mediterranean water reaches the Black Sea. During northeasterlies the bottom layer flow decreases and relatively undiluted Mediterranean water flows into the Black Sea. Dominant energy input is in the low frequency (

Multi-agent-based modeling is an efficient way to simulate the stock market which can be regarded as a complex adaptive system. This paper introduces a framework to support massive amounts of agents in the stock market simulation on distributed parallel environment. The framework consists primarily of the market server and massive amounts of agents implemented base on Erlang language. It provides an interface for decision mechanism of agents and interface for auction rules of market server. The experiment is established in a distributed environment and presents a certain scalability of the framework.

Parallel Application Visual Modeling (PAVM) is a system that simplifies the development of parallel applications by providing a graphical user interface for visually modeling and generating corresponding source code framework according to the constructed model. The specification of graphical construction blocks and composition rules are proposed to help construct feasible visual models. Model checker is designed to conduct model verification, and code generator is implemented to translate models to source code framework. PAVM is implemented based on DSL tools. With the help of PAVM, programmers are able to focus on algorithm design and obtain source code framework from graphical models.

Progressive supranuclear palsy (PSP) is a movement disorder with prominent tau neuropathology. Brain diseases with abnormal tau deposits are called tauopathies, the most common of which is Alzheimer's disease. Environmental causes of tauopathies include repetitive head trauma associated with some sports. To identify common genetic variation contributing to risk for tauopathies, we carried out a genome-wide association study of 1,114 individuals with PSP (cases) and 3,247 controls (stage 1) followed by a second stage in which we genotyped 1,051 cases and 3,560 controls for the stage 1 SNPs that yielded P ≤ 10-3. We found significant previously unidentified signals (P < 5 × 10-8) associated with PSP risk at STX6, EIF2AK3 and MOBP. We confirmed two independent variants in MAPT affecting risk for PSP, one of which influences MAPT brain expression. The genes implicated encode proteins for vesicle-membrane fusion at the Golgi-endosomal interface, for the endoplasmic reticulum unfolded protein response and for a myelin structural component. © 2011 Nature America, Inc. All rights reserved.

Modeling and programming parallel applications is becoming unavoidable for next generation of software architects and programmers, owing to the popularization of multi-core processors. ParDT is a graphical model-driven development toolsuite which supports not only modeling of parallel programs on high abstraction level but the translation of the constructed models into source code skeletons according to the specific runtime environments and libraries. The process of translation, which involves the parsing of graphical models and the generation of source code skeletons aimed at different parallel platforms, are explained in detail. ParDT is implemented based on Eclipse and compatible with its plug-in architecture. The toolsuite manages to help programmers relieve the burden of building parallel applications.

Modeling and programming parallel applications are becoming unavoidable for next generation of software architects and programmers, owing to the popularization of multi-core processors and Linux Clusters for high performance/availability computing. As an aid to design and development of various parallel applications running on different parallel computing infrastructure, an extensible IDE (Integrated Development Environment) framework named EasyPAB (Easy Parallel Application Builder) is introduced in this paper. It combines the principle and technology of parallel design patterns and architectural skeleton to simplify the design and development of parallel applications and supports both message-passing-based and shared-memory-based platforms, by providing a unified user interface for modeling visually while generating different types of code skeletons according to specific runtime environment automatically. The implementation of EasyPAB is based on plug-in architecture which is compatible with Eclipse, thus third parties are free to supplement or improve it.

Autism spectrum disorders (ASDs) are common, heritable neurodevelopmental conditions. The genetic architecture of ASDs is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASDs by using Affymetrix 10K SNP arrays and 1,168 families with at least two affected individuals, performing the largest linkage scan to date while also analyzing copy number variation in these families. Linkage and copy number variation analyses implicate chromosome 11p12-p13 and neurexins, respectively, among other candidate loci. Neurexins team with previously implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for contributing to ASDs. © 2007 Nature Publishing Group.

Glycerol/water microdroplets take almost spherical shapes when standing on a superhydrophobic surface. Hence they are suitable to function as optical microcavities. Using Rhodamine B doped water microdroplets, large spectral tunability of the whispering gallery modes (WGMs) (>5 nm) was observed. Tunability was achieved by evaporation/condensation in a current controlled mini humidity chamber. Experiments revealed a mechanism stabilizing the volume of these microdroplets with femtoliter resolution. The mechanism relied on the interplay between the condensation rate that was kept constant and the size dependent laser induced heating. The radii of individual water microdroplets (>5 mu m) stayed within a few nanometers during long time periods (several minutes). By blocking the laser excitation for 500 msec, the stable volume of individual microdroplets were changed stepwise. Laser emission was also observed from Rhodamine B doped glycerol/water microdroplets using a pulsed, frequency-doubled Nd:YAG laser (lambda=532 nm) as the excitation source. The observed largely tunable WGMs and laser emission can pave way for novel applications in optical communication systems. Besides due to the sensitivity of the WGMs to the size and shape of the microdroplets, the results can find applications in characterizing superhydrophobic surfaces and investigating liquid-solid surfaces., NA

Autism is a neurodevelopmental disorder manifesting early in childhood. Some symptoms of autism are alleviated by treatment with selective serotonin reuptake inhibitors, which are known to interact with the serotonin transporter. Moreover, variation in the gene that encodes the transporter (SLC6A4), especially the HTTLPR locus, is known to modulate its expression. It is natural, therefore, to evaluate whether this variation plays a role in liability to autism. We investigated the impact of alleles at HTTLPR and three other loci in SLC6A4 by using a large, independent family-based sample (390 families, 1528 individuals) from the NIH Collaborative Programs of Excellence in Autism (CPEA) network. Allele transmissions to individuals diagnosed with autism were biased only for HTTLPR, both for the narrow diagnosis of autism (P = 0.035) and for the broader diagnosis of autism spectrum (P = 0.007). The short allele of HTTLPR was significantly overtransmitted. Investigation of haplotype transmissions suggested that, in our data, biased transmission was only due to HTTLPR. With respect to this locus, there are now seven of 12 studies reporting significant transmission bias of HTTLPR alleles, a noteworthy result in itself. However, the studies with significant findings are almost equally divided between overtransmission of short and overtransmission of long alleles. We place our results within this extremely heterogeneous field of studies. Determining the factors influencing the relationship between autism phenotypes and HTTLPR variation, as well as other loci in SLC6A4, could be an important advance in our understanding of this complex disorder. © 2005 Nature Publishing Group All rights reserved.

First, a feedforward error back-propagation neural network (FEBNN) model (classifier) was developed to predict survival and growth of 'Escherichia coli' O157:H7 in response to five environmental conditions (temperature, pH, and concentrations of acetic acid, sucrose and salt). The neural network was trained by using a data set from controlled experiments conducted with a cocktail of five strains of 'E. coli' O157:H7 in tryptic soy broth. It correctly predicted the growth/no-growth in 1810 (99.5%) with 8 false positives and 2 false negatives, and survival/death in 1804 (99.1%) with 13 false positives and 3 false negatives. Thirty data from experimental mayonnaise inoculated with 'E. coli' O157:H7 and two literature data sets (26 conditions) were used for experimental validation. The FEBNN model predicted the survival/death in 27 of 30 cases (90.0% accuracy) with three fail-positive predictions and all observed growth (100%). In addition, a knowledge-based neural network envelope (KBNNE) using surrogate pathogens was developed to characterize the uncertainty about the probability of infection at an ingested dose level. Eight 'E. coli ' O157:H7 outbreak data with fractional animal and surrogates data were combined to build the knowledge-based neural network dose-response (KBNNDR) model. A constant variation of approximate 95% confidence limits of the KBNNDR was made to interpret the uncertainty. A fuzzy rule-based model was developed to characterize the various uncertainty of 'E. coli' O157:H7 dose-response, when the lack of data severely restricted the accuracies of beta-Poisson, KBNNE and KBNNDR models. The fuzzy model provided a set of fuzzy zones. Each fuzzy zone demonstrated the different width of response interval at different dose levels to describe the uncertainty, variability and imprecision of 'E. coli' O157:H7 dose-response.

In the framework of Open Grid Service Architecture, this paper presents the design of LinuxCluster-Based Grid Services. Using Cluster System Management , General Parallel File System and openMosix, LinuxCluster-Based Grid Services have good performance. Then the paper introduces the Component model to Grid service, and builds Grid Component Service. Grid Component technology will greatly improve the reusability and transplantation of Grid applications.