University of Cyprus

About: University of Cyprus is a education organization based out in Nicosia, Cyprus. It is known for research contribution in the topics: Large Hadron Collider & Standard Model. The organization has 3624 authors who have published 15157 publications receiving 412135 citations.

Interpersonal Factors as Drivers of Quality and Performance in Western–Hong Kong Interorganizational Business Relationships:

Abstract: The authors report the findings of a study conducted among a sample of 202 Hong Kong–based Chinese importing companies regarding their working relationships with Western export manufacturers. In particular, the study emphasizes the effect of interpersonal factors on financial performance through the intervening roles of intercompany trust and relationship quality. Using structural equation modeling, the authors confirm that (1) several interpersonal relational dimensions—namely, personal communication (sijiao), personal credibility (xinyong), and personal affection (ganqing)—positively influence interfirm trust; (2) trust plays an instrumental role in enhancing the components of the interfirm relationship quality (i.e., cooperation, commitment, and satisfaction); (3) interfirm relationship quality is positively related to superior financial performance; and (4) most of the associations between each of the interpersonal factors and interfirm trust were moderated by the importer's size and foreign ...

Interventions in ingarch processes

Abstract: We study the problem of intervention effects generating various types of outliers in a linear count time‐series model. This model belongs to the class of observation‐driven models and extends the class of Gaussian linear time‐series models within the exponential family framework. Studies about effects of covariates and interventions for count time‐series models have largely fallen behind, because the underlying process, whose behaviour determines the dynamics of the observed process, is not observed. We suggest a computationally feasible approach to these problems, focusing especially on the detection and estimation of sudden shifts and outliers. We consider three different scenarios, namely the detection of an intervention effect of a known type at a known time, the detection of an intervention effect when the type and the time are both unknown and the detection of multiple intervention effects. We develop score tests for the first scenario and a parametric bootstrap procedure based on the maximum of the different score test statistics for the second scenario. The third scenario is treated by a stepwise procedure, where we detect and correct intervention effects iteratively. The usefulness of the proposed methods is illustrated using simulated and real data examples.

Industrial H2-SCR of NO on a novel Pt/MgO–CeO2 catalyst

Abstract: We describe here the performance of a novel MgO–CeO2-supported Pt (0.1 wt%) catalyst towards the selective conversion of NO into N2 (SN2 > 80%) by using H2 (H2-SCR) under process conditions similar to those encountered in the NH3-SCR in the low-temperature range of 150–200 °C. At 200 °C, 100% conversion of NO and 85% N2-selectivity were obtained with a feed stream containing 1000 ppm NO, 5% O2, 5% H2O, 10% CO2, 0–0.5% CO, and using 1.5% H2 in the feed as reducing agent (GHSV = 40,000 h−1). Thus, a N2-yield of 85% similar to that obtained in most NH3-SCR applications could make H2-SCR as the most environmentally friendly NOx control catalytic technology with great potential to replace the existing NH3-SCR technology. The latter is currently used industrially mainly in power and nitric acid plants, gas turbines, furnaces, boilers, and waste incinerators for the elimination of NOx. However, this technology faces several problems such as catalyst deterioration, emissions of non-reacted toxic NH3 (ammonia slip), ash odor, air-heaters fouling, and a high running cost.