Rejection sensitivity and interaction quality in everyday life

The elevated satisfaction that comes from interacting with close ties, as opposed to distal ties, is well-established in past research. What remains less clear is how the quality of daily interactions between close versus distal ties may vary as a function of personality. Drawing on data from a 2-week experience sampling study ( N = 108 participants, N = 7755 observations), we consider how trait rejection sensitivity (RS)—or the tendency to worry about potential social rejection—interacts with perceived closeness and interaction channel (i.e., face-to-face vs. technology-mediated) in daily life. We find that individuals who are high (vs. low) in rejection sensitivity not only view distal tie interactions as less satisfying, they also perceive close tie exchanges as more enjoyable and supportive—but only for technology-mediated (vs. face-to-face) interactions. We also find that individuals who are high in rejection sensitivity have higher variability in the perceived quality of their interactions. These findings demonstrate the interlocked factors of personality tendencies, perceived closeness, and interaction channel in shaping the variability in the quality of daily interactions.

Femtosecond Laser-Micromachining of Glass Micro-Chip for High Order Harmonic Generation in Gases

We report on the application of femtosecond laser micromachining to the fabrication of complex glass microdevices, for high-order harmonic generation in gas. The three-dimensional capabilities and extreme flexibility of femtosecond laser micromachining allow us to achieve accurate control of gas density inside the micrometer interaction channel. This device gives a considerable increase in harmonics’ generation efficiency if compared with traditional harmonic generation in gas jets. We propose different chip geometries that allow the control of the gas density and driving field intensity inside the interaction channel to achieve quasi phase-matching conditions in the harmonic generation process. We believe that these glass micro-devices will pave the way to future downscaling of high-order harmonic generation beamlines.

Femtosecond Laser-micromachining of Glass Micro-chip for High Order Harmonic Generation in Gases

We report on the application of femtosecond laser micromachining to the fabrication of complex glass microdevices, for high-order harmonic generation in gas. The three-dimensional capabilities and extreme flexibility of femtosecond laser micromachining allow us to achieve accurate control of gas density inside the micrometer interaction channel. This device gives a considerable increase in harmonics generation efficiency if compared with traditional harmonic generation in gas jets. We propose different chip geometries that allow to control the gas density and driving field intensity inside the interaction channel to achieve quasi-phase matching conditions in the harmonic generation process. We believe that these glass micro-devices will pave the way to future downscaling of High-order Harmonic Generation beamlines.

Building Usage Attitude for Mobile Shopping Applications: an Emerging Market Perspective

Mobile commerce has gained pace in recent years, providingan extended interaction channel between consumers and online retailers. Regardless of a significant increase in mobile internet usage, the adoption of mobile e-commerce (MC) services has not been as far-reached in the growing economies of the world. Recently, research in the e-commerce applied Technology Acceptance Model (TAM) indicated contradicting results.Some research studies found perceived usefulness has a significant effect on online purchase attitude, whereas in another study it was insignificant. We understand this, among many other factors, to be a consequence of the different levels of internet usage and its penetration in the region. We performed this study in Pakistan origin, a growing economy, where internet usage has significantly increased in the last decade or so. The e-commerce industry reviews pointed out that low consumer trust and poor logistics might be the key constraints in B2C mobile e-commerce adoption in Pakistan. Based on these grounds we adapted TAM by including consumer trust belief in mobile e-commerce and excluding perceived ease of use, as many research studies reported it insignificant for online shopping context. The proposition developed that trust in online shopping has an impact on improved perceptions about the usefulness of this interaction channel between online buyers and sellers. This positive usage attitude facilitates favorable online purchase intentions. The research conducted based on empirical evidence from Pakistan, and the model was developed on the bases of TAM, consumer trust in MC, and perceived usefulness and trust in mobile e-commerce. An online questionnaire survey was distributed to gather responses. Data analysis was performed with the partial least square technique or structured equation modeling. The research findings show that belief in trustworthiness of e-commerce has a more significant impact on usage attitude for mobile e-commerce as compared to PU. This implicates that online retailers in Pakistan should focus more on developing trust of their prospects by providing trust cues and other trust-building mechanisms. The research model empirically studied on evidence from Pakistan was first of its kind . In the future, the research can be conducted on specific categories of items (such as apparel fashion, technology base products) or services (such as traveling, hotels) developing effective strategies for retailers in B2C mobile e-commerce.

Distributed Cooperative Spectrum Sensing Algorithm Based on Average Consensus

The existing distributed spectrum sensing algorithms usually assume that the information in interaction channel is totally correct and did not consider noise effect. To solve these problems, a new distributed cooperative spectrum sensing scheme based on average consensus is investigated in this paper. Based on minimum mean square deviation criterion, we design an iterative matrix suitable for consensus algorithm with considering the noise of interaction channel. Simulation results show that the proposed method achieves better detection performance under noise effect of interaction channel and outperforms conventional scheme by 11% at-5dB signal to noise ratio (SNR) and 0.1 false alarm probability.

Color transparency and saturation in QCD

We review the theoretical interpretation of deep-inelastic electron–proton scattering at low values of the Bjorken variable x ≃Q2/W2 ≲ 0.1. The process proceeds via the interaction of quark–antiquark [Formula: see text] color-dipole fluctuations of the (virtual) photon with the proton. In terms of the forward Compton scattering amplitude, two reaction channels contribute to the interaction of the [Formula: see text] color dipole with the gluon field in the proton. Dependent on the kinematics, there is either color transparency, corresponding to a cancellation of the amplitudes for the two reaction channels, or saturation, occurring when the process is dominated by a single interaction channel. The connection between the color-dipole picture and the pQCD improved parton model is elaborated upon.

Integrating Existing Applications

Enterprise applications are usually designed, developed, and deployed for well predefined business domains. In other words, domain-based applications mainly meet the needs of their focused business domains. Frequently, they complement each other by playing support roles during normal business operations. It is well recognized that organizations can maximally capitalize on their investments by fully leveraging all the available IT supports enabled by individual applications through enterprise integration. However, integrating distributed applications across an organization is challenging as these distributed applications are quite often found disparate and heterogeneous in many aspects. Regardless of how distributed applications were built and how they are disparate and heterogeneous, there are essentially four main categories of integration approaches used to address the integration needs in an organization. These categories are classified based on the hierarchical levels at which the integration takes place. The four level-based categories are data-, method-, API-, and process-levels. Accordingly, four integration methodologies are defined. This chapter mainly focuses on the explorations of the technical fundamentals of data-, method-, API-, and process-level integrations. An interface is the interaction channel provided by an application, which delivers a designated computing service for invocation. The accessibility of the interface to a computing service at any integration level in the hierarchy of a given application depends on the privilege enabled for the end users who requires the services. Different examples are used to demonstrate how data-, method-, and API-level integrations can be effectively applied in integrating distributed applications across an organization. An introduction to the process-level integration is presented in this chapter.