The Mediator Effect of Logistics Performance Index on the Relation Between Corruption Perception Index and Foreign Trade Volume

Logistics performance of a country plays an important role within both economic and social developments. Therefore examining the relationship among the logistic performance, corruption and foreign trade volume of a country would contribute to the literature. Logistics Performance Index (LPI) has firstly been issued byWorld Bank in 2007 and continued in the years 2010, 2012, 2014. In this paper the mediator effect of Logistics Performance Index (LPI) on the relation between Corruption Perception Index (CPI) and Foreign Trade Volume (FTV) analyzed for the years 2007, 2010, 2012, 2014. The hierarchical regression analysis method was used in order to determine the mediator effect. As per the analysis results, the mediator effect of LPI on the relation between CPI and FTV is statistically significant. Consequently it could be suggested that the logistics ability of a country trigger the relation between corruption and foreign trade volume

The Impact of Sustainable Supply Chain Management and Supply Chain Collaboration on Turkish Firms Performance: Moderator Effect of Uncertainty

Supply Chain-Related Sustainability Cases offer organizations the challenge of enriching environmental, social, and economic performance within supply networks. Firms are increasingly implementing environmental and social dimensions of sustainability. During the implementation, they check the collaboration efforts for getting information outside of the organizations to develop and improve both firm and supply chain performance. Due to drastic changes in the business environment, firms face uncertainty. This study aims to analyze the impact of sustainable supply chain management and collaboration under the supply chain uncertainty on firms' performance. Based on the literature review the conceptual framework was developed. To test the research hypotheses, multi-item scales and survey questionnaires were adopted from prior research. The research is based on a quantitative approach using a questionnaire survey. We obtained 240 usable questionnaires from 112 companies. The Partial Least Square method was used to test the proposed conceptual model. The results show that sustainable supply chain management is positively associated with supply chain performance and supply chain collaboration. Also, we found that supply chain collaboration has a positive effect on supply chain performance. Supply chain performance is positively associated with firm performance. Furthermore, supply chain uncertainty moderates the relationship between collaboration, sustainable supply chain management, and supply chain performance

THE EFFECT OF POTENTIAL ABSORPTIVE CAPACITY AND INNOVATION ON COMPETITIVE ADVANTAGE: A MODEL FROM PARTICIPATIVE LEADERSHIP PERSPECTIVE

ABSTRAC

Construction and Evaluation of The Wind Tunnel Technique for Estimating Ammonia Volatilization from Land

Agriculture is mainly responsible for ammonia (NH3) volatilization. Among all agricultural activities, livestock and especially animal manures are the most important sources of NH3 emissions. Manure application which not only exacerbate greenhouse gas emissions, but also leads to eutrophication of water bodies. Many studies have shown that surface application of manure can lead to large ammonia losses and run off, on the other hand that tillage can substantially reduce these losses. It is necessary to determine ammonia flux from manure-amended soils to improve management manure handling practices for minimizing agriculture’s impact on the environment. From this point of view, one of the direct measured method was used to determine this volatilization. The objections of this work were: i) The design, construction, physical calibration, and operation of the little wind tunnels. ii) Recover ammonia loss from bovine slurry by little wind tunnel method. iii) Determine the effect of slurry application depth on ammonia emission. The little wind tunnel system consisted of plastic canopy covering the treatment area (2 m long by 0.5 m wide). By was using a fan, it was imitated the natural wind speed in the test area (1-1.5 m/s). Nitrogen losses were measured with this method in surface application, 50 mm and 100 mm subsurface. In the surface application, the highest ammonia emission was observed. It was approximately 68% higher in compared to another methods. There is significantly (P=0.05) different in the ammonia emission, between the surface apply method and injection manure in soil methods. But There isn’t any significantly different between ammonia emission amount in injection subsurface methods (100 mm and 50 mm deep)

Evaluating Real-World Clinical Outcomes in Atrial Fibrillation Patients Receiving the WATCHMAN Left Atrial Appendage Closure Technology Final 2-Year Outcome Data of the EWOLUTION Trial Focusing on History of Stroke and Hemorrhage

BACKGROUND: Left atrial appendage occlusion with WATCHMAN has emerged as viable alternative to vitamin K antagonists in randomized controlled trials. Evaluating real-life clinical outcomes in atrial fibrillation patients receiving the WATCHMAN left atrial appendage closure technology was designed to collect prospective multicenter outcomes of thromboembolic events, bleeding, and mortality for patients implanted with a WATCHMAN in routine daily practice. METHODS: One thousand twenty patients with a WATCHMAN implant procedure were prospectively followed in 47 centers. Left atrial appendage occlusion indication was based on the European Society of Cardiology guidelines. Follow-up and imaging were performed per local practice up to a median follow-up of 2 years. RESULTS: Included population was old (age 73.4±8.9 years), at high risk for stroke (311 prior ischemic stroke/transient ischemic attack and 153 prior hemorrhagic stroke) and bleeding (318 prior major bleeding), with CHA2 DS2 -VASc score ≥5 in 49%, hypertension, abnormal renal/liver function, stroke, bleeding history or predisposition, Labile international normalized ratio, elderly, drugs/alcohol concomitantly ≥3 in 40% and oral anticoagulation contraindication in 72%. During follow-up, 161 patients (16.4%) died, 22 strokes were observed (1.3/100 patient-years, 83% reduction versus historic data), and 47 major nonprocedural bleeding events (2.7/100 patient-years, 46% reduction versus historic data). Stroke and bleeding rates were consistently lower than historic data in those with prior ischemic (−76% and −41%) or hemorrhagic (−81% and 67%) stroke and prior bleeding (−85% and −30%). Lowest bleeding rates were seen in patients with early discontinuation of dual antiplatelet therapy. Patients with early discontinuation of antithrombotic therapy showed lower bleeding rates, while they were highest for those with prior bleeding. Device thrombus was observed in 34 patients (4.1%) and was not correlated to drug regimen during follow-up (P=0.28). CONCLUSIONS: During the complete 2-year follow-up of Evaluating RealLife Clinical Outcomes in Atrial Fibrillation Patients Receiving the WATCHMAN Left Atrial Appendage Closure Technology, patients with a WATCHMAN left atrial appendage occlusion device had consistently low rates of stroke and nonprocedural bleeding, although most were contraindicated to oral anticoagulation and used only single antiplatelet therapy or nothing

An embedding technique to determine ττ backgrounds in proton-proton collision data

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe

Calibration of the CMS hadron calorimeters using proton-proton collision data at root s=13 TeV

Methods are presented for calibrating the hadron calorimeter system of theCMSetector at the LHC. The hadron calorimeters of the CMS experiment are sampling calorimeters of brass and scintillator, and are in the form of one central detector and two endcaps. These calorimeters cover pseudorapidities vertical bar eta vertical bar ee data. The energy scale of the outer calorimeters has been determined with test beam data and is confirmed through data with high transverse momentum jets. In this paper, we present the details of the calibration methods and accuracy.Peer reviewe

Search for dark matter in events with a leptoquark and missing transverse momentum in proton-proton collisions at 13 TeV

A search is presented for dark matter in proton-proton collisions at a center-of-mass energy of root s= 13 TeV using events with at least one high transverse momentum (p(T)) muon, at least one high-p(T) jet, and large missing transverse momentum. The data were collected with the CMS detector at the CERN LHC in 2016 and 2017, and correspond to an integrated luminosity of 77.4 fb(-1). In the examined scenario, a pair of scalar leptoquarks is assumed to be produced. One leptoquark decays to a muon and a jet while the other decays to dark matter and low-p(T) standard model particles. The signature for signal events would be significant missing transverse momentum from the dark matter in conjunction with a peak at the leptoquark mass in the invariant mass distribution of the highest p(T) muon and jet. The data are observed to be consistent with the background predicted by the standard model. For the first benchmark scenario considered, dark matter masses up to 500 GeV are excluded for leptoquark masses m(LQ) approximate to 1400 GeV, and up to 300 GeV for m(LQ) approximate to 1500 GeV. For the second benchmark scenario, dark matter masses up to 600 GeV are excluded for m(LQ) approximate to 1400 GeV. (C) 2019 The Author(s). Published by Elsevier B.V.Peer reviewe

Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions