Reduction Measurements for Calculation in Fuzzy Experiment Scheme

The papers is dedicated to the questions of modeling and basing super-resolution measuring- calculating systems in the context of the conception “device + PC = new possibilities”. By the authors of the article the new mathematical method of solution of the multi-criteria optimization problems was developed. The method is based on physic-mathematical formalism of reduction of fuzzy disfigured measurements. It is shown, that determinative part is played by mathematical properties of physical models of the object, which is measured, surroundings, measuring components of measuring-calculating systems and theirs cooperation as well as the developed mathematical method of processing and interpretation of measurements problem solution

Cytomorphometric analysis of squames from oral premalignant and malignant lesions

Objective: Oral cytology is becoming increasingly important in the early diagnosis of oral cancer, including epithelial atypia. The aim of this study is to assess the whether the cytoplasmic diameter, nuclear diameter and their nuclear to cytoplasmic ratio are reliable parameters in exfoliative cytology in detecting premalignant and malignant lesions. Study design: Cell and nuclear diameter were measured from the squames of normal buccal mucosal and of oral leukoplakia, oral submucous fibrosis, oral lichen planus which were histologically benign and oral squamous cell carcinoma were measured using an ocular micrometer disc. The nuclear to cytoplasmic ratio in each of these were deduced from the values obtained and compared with the controls which were age, sex and site matched. The data were evaluated using statistical methods, namely‘t’ test and analysis of variance. Results: We obtained a statistically significant reduction in the mean cytoplasmic and nuclear diameter in all the four groups. The nuclear to cytoplasmic ratio revealed to be significant only in group 1, 2 and 4. Conclusion: The present study suggests that a decrease in the mean cytoplasmic diameter of exfoliated buccal mucosal cells could serve as an early indicator of dysplastic change especially in lesions which appear histologically benign

Asuhan Keperawatan Pada An.V Dengan Dengue Hemoragic Fever (DHF) Grade I Di Ruang Anggrek RSUD Surakarta

Background: Dengue hemorrhagic Fever is an infection disease caused by dengue virus, infected by Aides aegypty widespread in the tropics and sub-tropics. Dengue virus infection causes high mortality and morbidity worldwide. Purpose: To implement the nursing in clients with dengue hemorrhagic fever includes assessment, intervention, implementation and evaluation of nursing. Results: Diagnoses that arise in that case; hipertemi associated with the infection; imbalance in nutrition less than body requirements related to inadequate intake, nausea, vomiting; the risk of bleeding associated decrease in the number of platelets (thrombocytopenia). After nursing actions during 3x24jam showed hyperthermia is resolved, the risk of bleeding is not resolved, nutritional imbalance resolved, and the risk of bleeding has not been resolved. Conclusion: The application of nursing care in accordance with the nursing process will achieve good results according with predetermined outcomes. to achieve the success of nursing care required cooperation between health team and the patient or family. Keywords: Dengue hemorrhagic fever, hipertermi, nursing car

Domain design principles for managing complexity in conceptual modeling

Complexity is a problem that can be found in many aspects of research that deals with design. In particular, complexity is found in various business processes that must be modeled and represented in a meaningful way. One of the ways to address complexity is by using decomposition, for which a number of decomposition principles have been proposed. However, there are two domain specific areas in which these principles are lacking: the scope and the context of the problem. This research addresses this problem by deriving two new principles for managing complexity, and evaluates the proposed principles through an example case to illustrate their potential use

Prediction of aromatase inhibitory activity using the efficient linear method (ELM)

Aromatase inhibition is an effective treatment strategy for breast cancer. Currently, several in silico methods have been developed for the prediction of aromatase inhibitors (AIs) using artificial neural network (ANN) or support vector machine (SVM). In spite of this, there are ample opportunities for further improvements by developing a simple and interpretable quantitative structure-activity relationship (QSAR) method. Herein, an efficient linear method (ELM) is proposed for constructing a highly predictive QSAR model containing a spontaneous feature importance estimator. Briefly, ELM is a linear-based model with optimal parameters derived from genetic algorithm. Results showed that the simple ELM method displayed robust performance with 10-fold cross-validation MCC values of 0.64 and 0.56 for steroidal and non-steroidal AIs, respectively. Comparative analyses with other machine learning methods (i.e. ANN, SVM and decision tree) were also performed. A thorough analysis of informative molecular descriptors for both steroidal and non-steroidal AIs provided insights into the mechanism of action of compounds. Our findings suggest that the shape and polarizability of compounds may govern the inhibitory activity of both steroidal and non-steroidal types whereas the terminal primary C(sp3) functional group and electronegativity may be required for non-steroidal AIs. The R code of the ELM method is available at http://dx.doi.org/10.6084/m9.figshare.1274030

Research on conceptual modeling: Themes, topics, and introduction to the special issue

Conceptual modeling continues to evolve as researchers and practitioners reflect on the challenges of modeling and implementing data-intensive problems that appear in business and in science. These challenges of data modeling and representation are well-recognized in contemporary applications of big data, ontologies, and semantics, along with traditional efforts associated with methodologies, tools, and theory development. This introduction contains a review of some current research in conceptual modeling and identifies emerging themes. It also introduces the articles that comprise this special issue of papers from the 32nd International Conference on Conceptual Modeling (ER 2013).This article was supported, in part, by the J. Mack Robinson College of Business at the Georgia State University, the Marriott School of Management at Brigham Young University (EB-201313), and by the GEODAS-BI (TIN2012-37493-C03-03) project from the Spanish Ministry of Education and Competitivity

High therapeutic potential of Spilanthes acmella

Spilanthes acmella, a well known antitoothache plant with high medicinal usages, has been recognized as an important medicinal plant and has an increasingly high demand worldwide. From its traditional uses in health care and food, extensive phytochemical studies have been reported. This review provides an overview and general description of the plant species, bioactive metabolites and important pharmacological activities including the preparation, purification and in vitro large-scale production. Structure-activity relationships of the bioactive compounds have been discussed. Considering data from the literature, it could be demonstrated that S. acmella possesses diverse bioactive properties and immense utilization in medicine, health care, cosmetics and as health supplements. As a health food, it is enriched with high therapeutic value with high potential for further development