Objective: To determine the publication rate of abstracts presented by Korean investigators at national and international radiological meetings, and to identify predictive factors of publication. Materials and Methods:Abstracts presented at the annual meetings of the Korean Radiological Society (KRS), and abstracts presented by Korean investigators at the annual meetings of the Radiological Society of North America (RSNA) and European Congress of Radiology (ECR) from 2001 to 2002 were searched for subsequent publication, using PubMed and the Korean Medical Database. The following variables were evaluated. 1) The overall publication rate; 2) the publication rates according to the radiological subspecialty, presentation type (oral or poster), sample size ( 20, 21 50, or > 50), study design (prospective or retrospective), statistical analysis (present or absent), and study outcome (positive or negative); 3) the time to publication; 4) the journal where the study was published; 5) consistency between the abstract and the final publication.Results: Of 1,097 abstracts, 301 (27.4%) were subsequently published, at an average of 15.8 13.8 months after presentation in 48 journals. The publication rates for studies presented at the RSNA (35.4%) and ECR (50.5%) conferences were significantly higher than that for the KRS conference (23.6%, p < 0.05). Vascular/interventional radiology studies had the highest publication rate (33.1%), whereas musculoskeletal radiology studies had the lowest publication rate (17.1%). Other factors associated with subsequent publication were prospective design, use of statistical testing, and a positive study outcome. Conclusion:The publication rate is significantly lower for the KRS (23.6%) meeting abstracts as compared to those of the RSNA (35.4%) and ECR (50.5%). Prospective design, use of statistical testing, and positive study outcome have a statistically significant effect on the publication rate.resentations at national and international meetings provide an important forum for the dissemination of current research findings to the scientific community. Subsequent publication in a scientific journal is the natural and final outcome of such presentations, where the investigation is subjected to exhaustive manuscript preparation, extensive analysis of results, and critical peer review process. The publication rate of presentations may be regarded as an indicator of the quality of the scientific research presented at the meeting (1 6) and of the country where the research was performed (7 9).However, the publication rate of presentations have ranged from 11% to 78% depending on medical specialty, with an average of 45% (1); these findings suggest that more than half of all abstracts are not fully published in scientific journals after

An efficient and alternative synthesis of enantiomerically pure (+)-(S)-4-(4-((4-chlorophenyl)(pyrid-2-yl)methoxy]piperidin-1-yl)butanoic acid, bepotastine (1) is described. The key resolution of (R/S)-bepotastine l-menthyl ester (3) is achived via diastereomeric salt crystallization using N-benzyloxycarbonyl-L-aspartic acid (NCbzLAA) as the resolving agent to provide (S)-bepotastine l-menthyl ester (S)-3. Hydrolysis of (S)-bepotastine l-menthyl ester (S)-3 afforded the desired bepotastine (1) with good yields and enantiopurity (> 99%). Finally, bepotastine besilate (4) and bepotastine calcium (5) are achived by salt formation of bepotastine (1) with benzene sulfonic acid and calcium salt respectively. The reaction conditions were optimized to make suitable for commercial scale production.

In this article, the condition diagnosis and form error prediction models for lens injection moulding process are developed based on a response surface method by using features extracted from in-process cavity pressure signals. In the lens injection moulding experiments, cavity pressure signals are captured by pressure sensors embedded in a lens mould, and form errors of manufactured lenses are measured afterwards. Then, three features such as filling point, maximum pressure and inflection point pressure are identified from the measured cavity pressure profile, and they are used to formulate the response surface functions for each injection moulding condition. In addition, the response surface functions for the lens form error with the input variables of the above-mentioned three features are also formulated. It is reported that the overall average accuracies for the lens injection moulding condition diagnosis and form error estimation are better than 97% and 80%, respectively, in the actual industrial site.

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This article discusses the development of lens form error prediction models using in-process cavity pressure and temperature signals based on a k-fold cross-validation method. In a series of lens injection moulding experiments, the builtin-sensor mould is used, the in-process cavity pressure and temperature signals are captured and the lens form errors are measured. Then, three features including maximum pressure, holding pressure and maximum temperature are identified from the measured cavity pressure and temperature profiles, and the lens form error prediction models are formulated based on a response surface methodology. In particular, the k-fold cross-validation approach is adopted in order to improve the prediction accuracy. It is demonstrated that the lens form error prediction models can be practically used for diagnosing the quality of injection-moulded lenses in an industrial site.