This paper discusses the role of casual attributions and positive emotion in trust repair of *** equation modeling(SEM) was used in our study to analyze 517 valid online *** empirical results indicate that casual attr...
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This paper discusses the role of casual attributions and positive emotion in trust repair of *** equation modeling(SEM) was used in our study to analyze 517 valid online *** empirical results indicate that casual attributions(locus and stability) have a negative impact on positive emotion;however,controllability opposing our initial expectation has a positive impact on positive *** the same time,positive emotion not only influences trust but also mediates the effect of casual attributions on trust.
An optical-coding technique for microfluidic flow cytometers to detect forward scattering and large angle scattering signals that can be used to differentiate beads and cells.
An optical-coding technique for microfluidic flow cytometers to detect forward scattering and large angle scattering signals that can be used to differentiate beads and cells.
In this research we investigate that user's stickiness of virtual community would affect the trust and the stickiness is mediator between trust repair and *** questionnaire through"Happy Farm"from the Fa...
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In this research we investigate that user's stickiness of virtual community would affect the trust and the stickiness is mediator between trust repair and *** questionnaire through"Happy Farm"from the Facebook,we used the Structural equation modeling(SEM) to analyze the data,in order to understand repair methods and the community trust the persons concerned after the stickiness of the impact of *** result shows that functional and informational of trust repair has positive relationship with stickiness.
Real time rendering of three-dimensional scenes in Ray Tracing is a hard problem. However, parallel implementations have been enabling real time performance, as the algorithm can be highly parallelized. Thus, a custom...
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Real time rendering of three-dimensional scenes in Ray Tracing is a hard problem. However, parallel implementations have been enabling real time performance, as the algorithm can be highly parallelized. Thus, a custom parallel design in hardware is likely to achieve a good performance. In this paper, we further improve the GridRT architecture overall performance by embedding the ray-triangle intersection computation into the precessing elements that form the architecture. Low cost and high rendering performance are the main concerns in this novel design. The results show that the execution time of each intersection computation is reduced by at least 50%, while the area cost is practically unchanged or even reduced when compared to the original GridRT implementation.
Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)co...
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Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)configurable application specific instruction set processors (ASIPs) and hardware accelerators for modern highly-demanding applications. Although it receives a lot of attention from the researchers and practitioners, a very important problem of hardware reuse in ASIP and accelerator synthesis is clearly underestimated and does not get enough attention in the published research. This paper is an effect of an industry and academic collaborative research. It analyses the problem of hardware sharing, shows its high practical relevance, as well as a big influence of hardware sharing on the major circuit and system parameters, and its importance for the multi-objective optimization and tradeoff exploitation. It also demonstrates that the state-of-the-art synthesis tools do not sufficiently address this problem and gives several guidelines related to enhancement of the hardware reuse.
Biomolecular simulation is a core application on supercomputers, but it is exceptionally difficult to achieve the strong scaling necessary to reach biologically relevant timescales. Here, we present a new paradigm for...
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Biomolecular simulation is a core application on supercomputers, but it is exceptionally difficult to achieve the strong scaling necessary to reach biologically relevant timescales. Here, we present a new paradigm for parallel adaptive molecular dynamics and a publicly available implementation: Copernicus. This framework combines performance-leading molecular dynamics parallelized on three levels (SIMD, threads, and message-passing) with kinetic clustering, statistical model building and real-time result monitoring. Copernicus enables execution as single parallel jobs with automatic resource allocation. Even for a small protein such as villin (9,864 atoms), Copernicus exhibits near-linear strong scaling from 1 to 5,376 AMD cores. Starting from extended chains we observe structures 0.6 A from the native state within 30h, and achieve sufficient sampling to predict the native state without a priori knowledge after 80-90h. To match Copernicus' efficiency, a classical simulation would have to exceed 50 microseconds per day, currently infeasible even with custom hardware designed for simulations.
We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applicatio...
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We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applications such as circuits that emulate the brain functioning and string verification via a slow communication channel.
Collaborative techniques for business process design are generally supported by groupware tools that allow process actors to interact collecting their knowledge about the activities performed. Despite success reports,...
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Collaborative techniques for business process design are generally supported by groupware tools that allow process actors to interact collecting their knowledge about the activities performed. Despite success reports, challenges are still observed due to the complexity of this task. We propose to gather benefits of interviews, collaboration and visual methods in eliciting business processes in order to deal with problems identified in literature. We present an approach based on a collaborative mobile application which analysts should use while interviewing process stakeholders. The information is collected through a simple BPMN diagram through which they exchange information and build parts of the models.
MicroRNAs, by regulating the expression of hundreds of target genes, play critical roles in developmental biology and the etiology of numerous diseases, including cancer. As vast amounts of microRNA expression profile...
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MicroRNAs, by regulating the expression of hundreds of target genes, play critical roles in developmental biology and the etiology of numerous diseases, including cancer. As vast amounts of microRNA expression profile data are now publicly available, the integration of those data sets with gene expression profiles represents an extremely active area of life science research. However, the ability to conduct genome wide microRNA-mRNA (gene) integration currently requires sophisticated, high-end informatics tools, significant expertise in bioinformatics and computerscience to carry out the complex integration analysis. In addition, increased computing infrastructure capabilities are essential in order to accommodate large data sets. In this study, we have extending BioVLAB cloud workbench to develop an environment for the integrated analysis of microRNA and mRNA expression data, named BioVLAB-MMIA. The workbench facilitates computations on the Amazon EC2 and S3 resources orchestrated by XBaya Workflow Suite. The advantages of BioVLAB-MMIA over the web-based MMIA system include: 1) readily expanded as new computational tools become available; 2) easily modifiable by re-configuring graphic icons in the workflow; 3) on-demand cloud computing resources can be used on an as needed basis; 4) distributed orchestration supports complex and long running workflows asynchronously.
Recently, some variants of the l1 norm, particularly matrix norms such as the l1,2 and l 1,∞ norms, have been widely used in multi-task learning, compressed sensing and other related areas to enforce sparsity via joi...
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ISBN:
(纸本)9781617823800
Recently, some variants of the l1 norm, particularly matrix norms such as the l1,2 and l 1,∞ norms, have been widely used in multi-task learning, compressed sensing and other related areas to enforce sparsity via joint regularization. In this paper, we unify the l 1,2 and l1,∞ norms by considering a family of l 1,q norms for 1 1,q norm. Based on this probabilistic interpretation, we develop a probabilistic model using the noninformative Jeffreys prior. We also extend the model to learn and exploit more general types of pairwise relationships between tasks. For both versions of the model, we devise expectation-maximization (EM) algorithms to learn all model parameters, including q, automatically. Experiments have been conducted on two cancer classification applications using microarray gene expression data.
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