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 present study describes antioxidant and antimicrobial activity and oxidative stress of water, methanol, acetone and ethyl acetate extracts from Eryngium serbicum Pančić, growing wild in Serbia. The total phenolic content in the extracts was determined using Folin-Ciocalteu reagent and their amounts ranged between 57.64 to 121.35 mg GA/l. The concentrations of flavonoids in the extracts varied from 17.49 to 72.41 mg QU/l. Antioxidant activity was analyzed using DPPH reagent. Antioxidant activity ranged from 1.248 to 10.376 IC50 (mg/ml) and from 1.63 to 3.36 mg VitC/l when tested with the DPPH and ABTS reagents, respectively, using BHA and VitC as controls. The antimicrobial activity of the extracts was investigated using a micro well-dilution assay against the most common human gastrointestinal pathogenic bacterial strains: Escherichia coli ATCC 25922, Pseudomonas aeruginosa ATCC 9027, Salmonella enteritidis ATCC 13076, Bacillus cereus ATCC 10876, Listeria monocytogenes ATCC15313, Staphylococcus aureus ATCC 25923 and Candida albicans ATCC 10231. This finding suggests that E. serbicum may be considered as a natural source of antioxidants and antimicrobial agents.