Echinacea purpurea (L.) Moench, is a perennial plant, native to North America, from which there air used in therapeutic purpose the aerial parts and the roots. The aerial parts contains flavonoides, polyphenolic acid, coffee acid, volatile oil etc. The medicine prepared from this plant determines the rise of self defense system of the human body ( by mobilizing the leukocytes and extending the phagocytosis activity and inhibits virus multiplication). During 2010 – 2012 at SCDA Secuieni researches were conducted to establish the optimum doses of muck and its influence over the herba production and active principles content in Echinacea purpurea L. (Moench). The results indicated that the optimum variant was the one fertilized with 40t/ha fermented muck. In this variant the dry herba production obtained during three vegetation years were 39.14 g/ha in the second year, 72.13 g/ha in the third year and 74.02 q/ha in the fourth year. The highest coffee acid content (79.7 mg/100ml tincture) was determined in leaves from plants fertilized with 30t/ha muck and the highest content in polyphenolic acid (2.657 g clorogenic acid) was determined in flowers from plants fertilized with 40t/ha muck.
Security estimation is an integral part of risk management process which provides a strong mechanism to control and integrate security features for valuable opinion at design phase. Authentication quantification model (ACQM) has been developed in this paper by correlating authentication security attributes with complexity factors. The developed model has been validated with realistic data (small set). Its statistical analysis suggests models acceptability.
Rule acquisitions in ontology based systems are become very popular in different research areas and applications. The use of ontology based acquisition tool is used to bring together knowledge of experts from different disciplines. Evaluating semantic relatedness from the web is a problem with a long history in artificial intelligence. This paper presents a new measure for the evaluation of semantic similarity from the web by exploiting ontology based RuleToOnto (Rule acquisition procedure). We introduce automatic rule acquisition screening method that intends to automatically screen the exact parts of web page that contain rules. The main idea of our proposed scheme is to acquire the rules from several sites of the various domains. The sites have similar web pages explaining similar rules from each other. Our proposed work desires to acquire rules from a site by using similar rules of other sites in the various domains. By implementing this proposed scheme, we can develop an automatic rule acquisition measure through information about rules, which overcome the limitation done by knowledge engineer. Experimental lessons demonstrate that semantic rules in conjunction with ontology can acquire knowledge from various domains more accurately and efficiently.
The validation in design phase of software engineering is important for the continuing advancement of both design theory and the professional practice of engineering. Validation processes are required by the researcher in design phase to guide the development and evaluation of new methods. In this paper the researcher validates developed metrics and models. MATLAB software is used for the calculation of proposed metrics and models. A systematic pre-tryout validation is carried out for the proposed CEM and REM models for reliability estimation of an object oriented design. Furthermore, reliability improvement guidelines (RIG-OOD) are also validated systematically for testing the usefulness of the models for reliability estimation of an object oriented design. For pre tryout validation a case study on an OSCAR object oriented design is carried out in this paper. Various figures and tables were generated for the object oriented design. The result of the metric values prior to the RIG-OOD treatment and after RIG- OOD treatment indicates that the reliability improvement guidelines effectively minimized the complexity of object oriented design and improve the reliability of an object oriented design. A successful pre tryout leads us for the next step i.e. tryout.
Numerous users use World Wide Web (WWW) as their default resource for obtaining knowledge and many organization need to empathize their customer’s preference, behavior and future need to improve their business. Web usage mining is a part of web mining and an active research topic. The main goal is to find, model and analyze the behavioral pattern of the users. The captured patterns are represented as a collection of objects, or as pages, which are frequently used or accessed by a set of users having common interest. Enormous outstanding techniques have been developed to improve the extraction process. This paper presents a survey of recent methodologies in the field of web mining.
The aim of this study was to compare the ambiguity tolerance and sense of loneliness with responsibility of children in single and multi child families. The research method of this study was casual – comparative method. Statistical population is consisted of all secondary school female students of Tehran and the sample size is determined as 281 cases. To select the desire sample of students a multi-stage cluster sampling was used. Data collecting tool was the scale of responsibility questionnaire of Sanaei et al (1381), Asher loneliness scale of tolerance and the McLean’s (1993) tolerance of ambiguity questionnaires, respectively. In this research, independent T and logistic regression was used to test the hypotheses. Results from T tests of a couple of independent groups showed that with 5 percent of confidence we can say that there is no significant difference between children tolerance of ambiguity components (role-taking complexity and unresolved issues) in single and multi child families. Also with 95 percent one can say that there is no significant difference between the loneliness feeling and responsibility scales in single and multi child families. And finally in response to the contribution of each variable to separate children of single and multi child families, logistic regression analysis showed that in the prediction equation only role taking among all other predictor variables is significant and is able to predict this issue.
Propose:\nThe main drawback of current antibiotic therapies is the emergence and rapid increase of antibiotic resistance. Nocardiae are aerobic, Gram-positive, catalase positive, non motile actinomycetes. N. brasiliensis was reported as antibiotic producer. Propose of the study was to determine antibacterial activity of N. brasiliensis PTCC 1422 against isolated Enterobacteriaceae from Urinary Tract Infections (UTIs). \n\nMethod:\nThe common bacteria from UTIs were isolated from hospital samples. Antimicrobial susceptibility test was performed for the isolated pathogens using Kirby-Bauer disk diffusion method according to clinical and Laboratory Standards Institute guideline. Antagonistic activity of N. brasiliensis PTCC 1422 was examined with Well diffusion methods. Supernatant of N. brasiliensis PTCC 1422 by submerge culture was analysed with Gas chromatography mass spectrometry (GC-MS).\n\nResults:\nIsolated strains were included Escherichia coli, Klebsiella pneumoniae, Serratia marcescens and Proteus mirabilis. The most common pathogen isolated was E. coli (72.5 %). Bacterial isolates revealed the presence of high levels of antimicrobial resistances to Ceftriaxone and low resistance to Cephalexin. Supernatant of N. brasiliensis PTCC 1422 showed antibacterial activity against all of the isolated microorganisms in Well diffusion method. \n\nConclusion:\nAs antibacterial resistance among bacterial uropathogen is an evolving process. Therefore, in the field on the need of re-evaluation of empiric treatment of UTIs. our present investigation indicates the substances present in the N. brasiliensis PTCC 1422 could be used to inhibit the growth of human pathogen. The study has demonstrated that N. brasiliensis PTCC 1422 has a high potential for the treatment of Urinary Tract Infections (UTIs).