Experimental base study for finding Maximum Energy, Produce by solar parabolic dish for consumption of Electric energy

This experimental analysis based on output of solar energy under studied in ahmednagar city. In every minute solar energy changes with time because of earth rotation in this experiment we will find angle of solar parabolic dish in which maximum energy will get. Nowadays energy is important factor in our life so concentrate on saving energy. With maximum use of renewable energy sources save fuel and life period of fuel increases. This statistical data in which we taken reading in every hours basis and evaluate maximum output energy at some angle. In this Experiment we studies in ahmednagar city which latitude 19.09 degree N , the optimum tilt angle for solar panels during winter will be 19.09 + 15 = 34.09 degree. Solar energy produced when hydrogen convert in to helium form that time energy is produced which transfer i all direction. Up to this year more than one lack villages not having electricity so use of solar is essential for devolved nation. When solar energy use there no any harmful material produced during production of electric energy. This experiment done in industry where steam generation available. For maximum output energy we changes angle with respect to time and observe that steam producing system so it will beneficial nbspcost consumption as well as time consumption but during manufacturing time is very important factor so minimum time we will find out so during that maximum steam generated and evaluate that angle. Solar depended on geography because of are closer to equator have greater solar energy. Doe to that position will be changes with respect to solar position.nbs

International Journal of Biopharmaceutics SYNTHESIS AND BIOLOGICAL EVALUATION OF THIOMORPHOLINE DERIVATIVES USED AS A POTENT BIOLOGICAL AGENTS

ABSTRACT The purpose of this research was to development of new potent bioactive molecule with less toxic, safer and easy available. Modern therapeutic is based on scientific observation supported by systematic assessment of activity of drug is simulated and clinical condition. The integrity of the drug molecule, optimization of biological effect, uniform and consistent availability of drug from the dosage. Present work deals with the preparation of thiomorpholie derivatives by nucleophilic substitution reaction. Thiomorpholine (I) and P-chlorobenzonitrile (II) on reflux gives 4-thiomorpholin4ylbenzonitrile (III) then this upon hydrolysis by using sodium hydroxide and methanol gives corresponding 4-thiomorpholin-4ylbenzoic acid (IV).This acid on treatment with thionyl chloride gives corresponding 4-thiomorpholin4ylbenzoyl chloride (V).This is treated with hydrazine hydrate gives 4-thiomorpholin-4ylbenzohydrazide (VI) then this hydrazide is treated with various substituted aromatic aldehyde and heterocyclic compound to form thiomorpholine derivatives. Hydrazide derivatives were synthesized to increase Log P value by increasing microbial intracellular concentration and to decrease microbial resistance. The newly synthesized compounds were tested for its antimicrobial, analgesic and antiinflammatory activity. The structures of newly synthesized compounds were established on the basis of elemental analysis, IR, 1 H NMR and mass spectral data

Product Purchase Recommendation of User by Data Analysis Using Data Mining

With the boom of social media, it is a very popular trend for people to share what they are doing with friends across various social networking platforms. Nowadays, we have a vast amount of descriptions, comments, and ratings for local services. The information is valuable for new users to judge whether the services meet their requirements before partaking. In this paper, we propose a user-service rating prediction approach by exploring social users' rating behaviors. In order to predict user-service ratings, we focus on users' rating behaviors. In our opinion, the rating behavior in recommender system could be embodied in these aspects: 1) when user rated the item, what the rating is, 2) what the item is, 3) what the user interest that we could dig from his/her rating records is, and 4) how the user's rating behavior diffuses among his/her social friends. Therefore, we propose a concept of the rating schedule to represent users' daily rating behaviors. In addition, we propose the factor of interpersonal rating behavior diffusion to deep understand users' rating behaviors. In the proposed user-service rating prediction approach, we fuse four factors, user personal interest (related to user and the item's topics), interpersonal interest similarity (related to user interest), interpersonal rating behavior similarity (related to users' rating behavior habits), and interpersonal rating behavior diffusion (related to users' behavior diffusions), into a unified matrix-factorized framework. We conduct a series of experiments in Yelp dataset and Douban Movie dataset. Experimental results show the effectiveness of our approach