Contracting and the division of the gains from trade

This paper examines the microstructure of import markets and the division of the gains from trade among consumers, importers and exporters. When exporters and importers transact through anonymous markets, double marginalization and business stealing among competing importers lead to lower profits. Trading parties can overcome these inefficiencies by investing in richer contractual arrangements such as bilateral contracts that eliminate double marginalization and joint contracts that also internalize business stealing. Introducing these contractual choices into a trade model with heterogeneous exporters and importers, we show that trade liberalization increases the incentive to engage in joint contracts, thus raising the profits of exporters and importers at the expense of consumer welfare. We examine the implications of the model for prices, quantities and exporter-importer matches in Colombian import markets before and after the US-Colombia free trade agreement. US exporters that started to enjoy dutyfree access were more likely to increase their average price, decrease their quantity exported and reduce the number of import partners

Firm-to-firm connections in Colombian imports

The vast majority of world trade flows is between firms. Only recently has research in international trade started to emphasize the importance of the connections between exporters and importers both in aggregate trade flows and in the negative relationship between trade and geographic distance. This chapter documents the role of firm-to-firm connections in trade flows and the formation and duration of these importer-exporter relationships. Using customs data from Colombia for 1995-2014, we are able to identify both the Colombian importing firm and the foreign exporter in every Colombian import and export transaction. We document both the nature of these bilateral trading relationships and their evolution over time

Evaluation of holy basil mouthwash as an adjunctive plaque control agent in a four day plaque regrowth model

Objectives: Various antibacterial and antiplaque agents are used in chemical plaque control but none are without their shortcomings. Chlorhexidine considered a gold standard, also has an array of side effects. To overcome these, numerous herbal extracts have been tried and tested and one among them is holy basil. The present study evaluated the antibacterial efficacy of holy basil in vitro against some periodontopathogens and its antiplaque ef fect in vivo. Study Design: Thirty periodontally healthy volunteers were randomly divided into three groups and refrained from all mechanical oral hygiene measures for 4 days and used one of the randomly assigned mouthwash (1- chlor - hexidine; 2- holy basil; and 3- sterile water [placebo]) twice daily. The Plaque Index (PI) was assessed at days 0 and 5. Aqueous extract of holy basil was tested against Prevotella intermedia ( P. intermedia ) and Fusobacterium nucleatum ( F.nucleatum ). Results: Holy basil extract showed inhibition of both the tested periodontopathogens ( P.intermedia and F.nucleatum ) at various concentrations. In all groups, the PI increased from baseline to day 5. There was a statistically significant difference ( p < .05) between the chlorhexidine and placebo rinse and the holy basil and placebo rinse, but no statis - tically significant difference was found between the chlorhexidine and holy basil rinse with respect to PI. Conclusions: These results indicate that the holy basil mouthwash has an antiplaque effect and is efficacious against P. intermedia and F. nucleatum strains in vitro. Hence holy basil mouthwash may have potential as an antiplaque mouthwash with prophylactic benefits

Comparison of Radiovisiography and Digital volume tomography to direct surgical measurements in the detection of infrabony defects

Objectives: To compare the linear measurements of Radiovisiography (RVG) and Digital volume tomography (DVT) to direct surgical measurements in the detection of periodontal infrabony defects. Study design: RVG and DVT images were taken prior to periodontal surgery for 28 infrabony periodontal defects. After defect debridement, direct bony defect measurements were made from the cemento enamel junction (CEJ) to the base of the defect (CEJ-BD) and to the alveolar crest (CEJ-AC) with a periodontal probe. These same measurements were made on the RVG and DVT images and then compared to the direct surgical values. Results: DVT correlated strongly with surgical measurements, whereas RVG correlated less favorably (P=0.0109, P=0.0193 respectively).No significant difference for CEJ-AC (P=0.0599) was seen between DVT and surgical measurements; however, there was a significant difference for the distance CEJ-BD (P=0.0105). Conclusion: DVT technique is significantly more accurate than RVG in the detection of infrabony periodontal defects

Prediction of recurrent Clostridium difficile infection using comprehensive electronic medical records in an integrated healthcare delivery system

BACKGROUNDPredicting recurrentClostridium difficileinfection (rCDI) remains difficult. METHODS. We employed a retrospective cohort design. Granular electronic medical record (EMR) data had been collected from patients hospitalized at 21 Kaiser Permanente Northern California hospitals. The derivation dataset (2007–2013) included data from 9,386 patients who experienced incident CDI (iCDI) and 1,311 who experienced their first CDI recurrences (rCDI). The validation dataset (2014) included data from 1,865 patients who experienced incident CDI and 144 who experienced rCDI. Using multiple techniques, including machine learning, we evaluated more than 150 potential predictors. Our final analyses evaluated 3 models with varying degrees of complexity and 1 previously published model.RESULTSDespite having a large multicenter cohort and access to granular EMR data (eg, vital signs, and laboratory test results), none of the models discriminated well (c statistics, 0.591–0.605), had good calibration, or had good explanatory power.CONCLUSIONSOur ability to predict rCDI remains limited. Given currently available EMR technology, improvements in prediction will require incorporating new variables because currently available data elements lack adequate explanatory power.Infect Control Hosp Epidemiol2017;38:1196–1203</jats:sec

Epidemiological and economic burden of Clostridium difficile in the United States: Estimates from a modeling approach

Appendix A: Population and Setting. Appendix B: Demographic, epidemiologic and economic model parameters. Appendix C: Supplementary Methods and Results. (DOCX 132 kb

Implementation in Data Cube Mining for Map Reduce Paradigm

Computing measures for tweeter data cubes mining of cube group over data sets are impossible for many analyses in the tweeter.We have to compute the data set taken from tweeter user. You have to create a cube creation and then measure dimension setting using the roll up function.In the real world various challenges in the cube materlization and mining on web data sets. Map shuffle Reduce can be efficient extract cube and aggregate function on attribtes of tweeter.MR-Cube can be extract from efficient and effective PC cubes of holistic measures over large-tuple aggregation sets.In the existing techniques can not measure the holistic scale to the large tuples. DOI: 10.17762/ijritcc2321-8169.150614