Development of information technology contributes to the innovation of information exchange. In addition, the way of information exchange has also been changed from instant messaging to social networking. Social networks index is the foundation and premise for performing real-time search. The traditional social networks index algorithms can retrieve the messages in chronological order, which causes the accuracy of its search result is very poor. In order to improve the accuracy of the microblog search, an adaptive microblog message index mode is proposed in this paper. Firstly, the network messages are expressed as tree structures so as to perform message coding. Secondly, an index mode based on content and ranking is adopted. According to the upcoming messages, it is suitable to adaptively adjust the index data in memory. Finally, in order to avoid scanning the whole microblog data sets in the process of retrieval, Top-k threshold optimization algorithm is proposed. Twitter data experiments demonstrate that our proposed adaptive index mode greatly reduces the time and space consumption in microblog data index and its performance is also relatively stable as time goes on.

In this investigation in order to indicating industrial wastewater characteristics, the questionnaire of environmental protection organization of Iran was used. In this questionnaire and in industries and mining organization data base all of industries were classified in ten categories. Number of industries with over than 50 staff in industry in this region was 283, 50 industries were selected with classified weighted sampling method.\nThe average wastewater flow rate that generated by these 50 industries was 9422 m3/day, and then the average volume of wastewater generated per capita was estimated 437 liters per day. Minimum organic loading was related to non-metallic mineral industries with COD of 205 mg / L and BOD of 85 mg / L. maximum COD was related to paper industries with rate of 8800 mg / L and maximum BOD was related to food and drug industries with rate of 1536 mg / L.\nAll of these 10 categories of industries were scored based on generated COD, BOD loading and wastewater load per capita from 1 (minimum) to10 (maximum) and then were ranked from most polluting to least polluting industry. In this ranking, paper industries with overall score of 28 in three aforementioned parameters located at the first rank as the most polluted industry, on the other hand non metallic industry with the overall score of, located at the last rank as the least polluted industry.

In the industrial production of carbonated beverages, one major occurrence is the\ninconsistency or variation in the volumes packaged in each soft drink bottle. Findings\nfrom field work have it that this occurrence is predominantly provoked by fluctuations\nin the percentage carbonation, operating pressure in the filter, and line speed. With the\nimplementation of the technique of factorial designs on experimental data obtained\nfrom Success Foods International Enterprise, it was established that all other factors,\nexcept line speed (main effect) and carbonation-speed (interaction), do not\nsignificantly affect the fill volume of Rosebeen Orange fruit drink. We therefore\nrecommend an employ of these results to process engineers in other Orange fruitdrink-\nproducing industries for pilot studies as this may lead to better practical results

PURPOSE: To determine which is the best anthropometric index among body mass\nindex (BMI), waist to hip ratio (WHR), waist to stature ratio (WSR) and C index in\nrelation to cardiovascular diseases risk factors.\nMETHODS: This cross-sectional study was carried out during - in a sample of\nIranian female college students, aged - years that were selected via multistage\ncluster random sampling from university of Fars province. Fasting blood sugar, lipid\nprofile including total cholesterol (TC), Low density lipoprotein cholesterol (LDL), high\ndensity lipoprotein cholesterol (HDL) and triglycerides (TG) were estimated by standard\nenzymatic procedures and anthropometric indices were measured. Pearson correlation\ncoefficients and multiple linear regressions were used in analysis.\nRESULTS: The correlation between BMI and all cardiovascular diseases risk factors\nwere statistically significant. There was positive correlation between WHR and WSR\nwith TC, TG and LDL, while there was a negative correlation between WSR and HDL.\nThere was no correlation between C index and cardiovascular diseases risk factors\nexcept for TG. Multiple regression analysis confirmed the predictive power of BMI,\nWHR and WSR for cardiovascular diseases risk factors and BMI was the best simple\nanthropometric index in predicting cardiovascular diseases risk factors in non-obese\nfemale college students.\nCONCLUSIONS: These data support the hypothesis that BMI, WSR, WHR and C index\nmay be considered as risk factors for cardiovascular disease and BMI is a better index\nfor predicting some cardiovascular risk factors in young non-obese women

Women Entrepreneurs in rural areas were not given adequate attention in research arena\nat the international level. This article explores the potential of such women with the aim of\nbringing them to the attention of international scholars. Here, the attitudes, the abilities and the\nqualities of women entrepreneurs have been analyzed in the managerial point of view. A\nparadigm between a rural women entrepreneur and a typical modern manager has been\nestablished. The paradigm shift between these two groups of people also highlighted. This\nanalysis had been done with the primary data collected through questionnaire from 450 women\nentrepreneurs of two districts of a state in India with the combined population of 1.3 million. We\nfound that the entrepreneurial activities by women in rural areas were not only beneficial to the\nstake holders but also to the society by means of economic independency, sustainability, self\ncontain nature and distributed prosperity. We insist that the activities of rural women\nentrepreneurs should not be discounted by citing their size and scale of production, instead, these\nobservations should make in to theory and practices. We tried to build a theory from the findings\nof our survey with sociological, behavioral, economical and managerial approaches.

Money laundering is an illegal activity, through which the illegally obtained funds tried to show as they were derived from legitimate sources. In this manner, the origin of the money laundered away through several processes like placement, layering etc., The money laundering affects all the fields either directly or indirectly. The intrusion of money laundering in essential sector like finance, could create ripple effects in life of the common people as well as whole economy. In this paper the various ways through which the money laundering invade in to the financial system and the resultant consequences are discussed with reference to the cases of various institutions across the world. To curb this money laundering, several initiatives taken by the international organisations. These initiatives also narrated briefly. In addition to that, the Indian perspective and the legal provisions also highlighted. Though the nature of the paper is an investigative type, the discussion on various observations will pave the way for better understanding of this modern age phantom.