Stochastic models for quality of service of component connectors

The intensifying need for scalable software has motivated modular development and using systems distributed over networks to implement large-scale applications. In Service-oriented Computing, distributed services are composed to provide large-scale services with a specific functionality. In this way, reusability of existing services can be increased. However, due to the heterogeneity of distributed software systems, software composition is not easy and requires additional mechanisms to impose some form of a coordination on a distributed software system. Besides functional correctness, a composed service must satisfy various quantitative requirements for its clients, which are generically called its quality of service (QoS). Particularly, it is tricky to obtain the overall QoS of a composed service even if the QoS information of its constituent distributed services is given. In this thesis, we propose Stochastic Reo to specify software composition with QoS aspects and its compositional semantic models. They are also used as intermediate models to generate their corresponding stochastic models for practical analysis. Based on this, we have implemented the tool Reo2MC. Using Reo2MC, we have modeled and analyzed an industrial software, the ASK system. Its analysis results provided the best cost-effective resource utilization and some suggestions to improve the performance of the system.UBL - phd migration 201

Field-induced confinement in (TMTSF)2ClO4 under accurately aligned magnetic fields

We present transport measurements along the least conducting c direction of the organic superconductor (TMTSF)2ClO4, performed under an accurately aligned magnetic field in the low temperature regime. The experimental results reveal a two-dimensional confinement of the carriers in the (a,b) planes which is governed by the magnetic field component along the b' direction. This 2-D confinement is accompanied by a metal-insulator transition for the c axis resistivity. These data are supported by a quantum mechanical calculation of the transverse transport taking into account in self consistent treatment the effect of the field on the interplane Green function and on the intraplane scattering time

The Relationship between Metacognition, Entrepreneurial Orientation, and Firm Performance: An Empirical Investigation

This study aims to examine the relationship between an entrepreneur’s metacognition, entrepreneurial orientation (EO), and firm performance. We collected primary data from 190 entrepreneurs (business owners or founders) working in the U.S. through a survey. By performing both the confirmatory factor analysis (CFA) and the structural equation modeling (SEM), we tested our hypothesized research model that represented the metacognition-EO-firm performance relationship. The results from the statistical analysis demonstrate that an entrepreneur\u27s metacognition has a significant positive impact on EO. Furthermore, the study result shows that EO has a full mediating effect on the relationship between entrepreneurial metacognition and firm performance. We, thus, anticipate that the findings of this study will help entrepreneurs to understand the mechanism on how their metacognitions impact their business outcomes as well as to recognize why they should consider their metacognitive abilities while executing entrepreneurial tasks

Blue Ocean Strategy vs. Competitive Strategy: The Effect of Business Strategic Choices on Firm Performance, According to the Industry Life Cycle

The purpose of this study is to explore how blue ocean strategy and competitive strategy influence a firm\u27s business performance differently according to its stage in the industry life cycle (ILC). We developed a theoretical research model and the measure items to capture the different attributes of the blue ocean and competitive paradigms. We collected primary data from 309 business owners and senior managers working in the U.S. through a survey research. We tested the data by performing the exploratory factor analysis (EFA), the confirmatory factor analysis (CFA) and the structural equation modeling analysis (SEM) using SPSS and AMOS. The results from the statistical analysis demonstrate that the effects of blue ocean strategy on a firm\u27s business performance become increasingly weak as ILC stages pass, while the effects of competitive strategy gradually strengthen. However, our results show that, in general, blue ocean strategy has a more positive effect on a firm\u27s performance than competitive strategy. In addition, the study results suggest that blue ocean strategy fully mediates the relationship between a firm\u27s market orientation and its business performance, while competitive strategy only partially mediates the relationship. We discuss some theoretical implications and contributions of our research findings

Simple scheme for expanding a polarization-entangled W state by adding one photon

We propose a simple scheme for expanding a polarization-entangled W state. By mixing a single photon and one of the photons in an n-photon W state at a polarization-dependent beam splitter (PDBS), we can obtain an (n+1)-photon W state after post-selection. Our scheme also opens the door for generating n-photon W states using single photons and linear optics.Comment: 3 pages, 2 figure

The QM evolution: Behavioral quality management as a firm’s strategic resource

Firms implement various quality management (QM) practices to improve process quality. Scholars recognize that QM practices consist of both technical and behavioral oriented practices. The relationship of technical and behavioral oriented practices on performance has led to paradoxical relationships. Improving quality performance necessitates understanding the relationship between technical and behavioral orientated practices. This study empirically examines the relationship between technical and behavioral quality practices by collecting survey data from both US-based (N = 152) and China-based (N = 222) firms. The analysis uses the structural equation modeling technique, and shows that behavioral QM practices fully mediate the relationship between technical QM practices and firm performance. This implies that behavioral QM practices act as a strategic resource which helps generate a competitive advantage. The results contribute to understanding how quality management practices can lead to a competitive advantage

Reducing Residual-Mass Effects for Domain-Wall Fermions

It has been suggested to project out a number of low-lying eigenvalues of the four-dimensional Wilson--Dirac operator that generates the transfer matrix of domain-wall fermions in order to improve simulations with domain-wall fermions. We investigate how this projection method reduces the residual chiral symmetry-breaking effects for a finite extent of the extra dimension. We use the standard Wilson as well as the renormalization--group--improved gauge action. In both cases we find a substantially reduced residual mass when the projection method is employed. In addition, the large fluctuations in this quantity disappear.Comment: 18 pages, 10 figures, references updated, comments adde

Pathologic Findings of Amyloidosis: Recent Advances

Amyloids are aggregations of misfolded protein, which creates fibrillary structures. Unlike normally folded proteins, misfolded fibrils are insoluble and deposited extracellularly or intracellularly. The pathologic mechanism is still unclear, but resultant toxic oligomers within the tissue are known to damage the tissue via aberrant protein interactions. This condition has been known as amyloidosis. Different kinds of amyloid protein may cause similar or different clinical signs and symptoms, largely depending on the target organ it is deposited. However, because treatments and prognoses of each type are different drastically, it is critical to distinguish them and determine the specific type of amyloidosis. The confirmation and typing of amyloid heavily depend on pathologic examination of tissue. The gold standard method for the former is a Congo red staining and birefringence under polarized microscopy. The conventional way for the latter is immunohistochemistry (IHC), where most of the amyloid types can be classified. However, electron microscopy, mass spectrometry, or other molecular methods are required for typing some amyloids that are difficult to identify through IHC. In this chapter, we will describe basic concepts of amyloidosis and pathologic findings of amyloid deposition, including atypical structural deposition. Furthermore, we will review methodologies for amyloid typing briefly