Context Modeling for Ranking and Tagging Bursty Features in Text Streams

Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without taking into account the semantic contexts of terms, and as a result the detected bursty features may not always be interesting or easy to interpret. In this paper we propose to model the contexts of bursty features using a language modeling approach. We then propose a novel topic diversity-based metric using the context models to find newsworthy bursty features. We also propose to use the context models to automatically assign meaningful tags to bursty features. Using a large corpus of a stream of news articles, we quantitatively show that the proposed context language models for bursty features can effectively help rank bursty features based on their newsworthiness and to assign meaningful tags to annotate bursty features. ? 2010 ACM.EI

Analysis of the Action Mechanism of Agricultural Modernization Drived by Science and Technology-Oriented Poverty Alleviation Project in Poor Areas in China

Science and Technology-oriented (STO) poverty alleviation project in China has been used for more than twenty years, the effectiveness of poverty reduction is remarkable, in particular, to vigorously promote agricultural modernization process, but most researches tend to discuss the effectiveness of poverty alleviation, agricultural modernization is less involved. This article studies from STO poverty alleviation by studying its meaning, features and general pattern to explore its effect on agricultural modernization process, and analyzes some of the problems that exist in the process of poverty alleviation, finally makes relevant recommendations

Investigation of the relationship between chronic stress and insulin resistance in a Chinese population

Background: Chronic stress may facilitate the development of metabolic diseases. Insulin resistance is present long before the clinical manifestations of individual metabolic abnormalities. To explore whether chronic stress is an independent risk factor of insulin resistance, we investigated the relationship between the stress system, selected parameters of energy homeostasis, and insulin resistance in a Chinese population. Methods: We recruited 766 workers employed at four companies in Beijing. The degree of insulin resistance was determined using the homeostasis model assessment of insulin resistance (HOMA-IR). The highest quartile of HOMA-IR among all study subjects was further defined as insulin resistance in our study. The short standard version of the Copenhagen Psychosocial Questionnaire (COPSOQ) was used to assess job-related psychosocial stress. Pearson\u27s correlation coefficients were calculated between cortisol level and HOMA-IR and components of metabolic syndrome, with stratification by gender. The relationship between cortisol and HOMA-IR independent of obesity was analyzed using a linear mixed model with company as a cluster unit. Results: The values of the two scales of COPSOQ, including demands at work and insecurity at work , were significantly associated with insulin resistance and cortisol concentration (P \u3c 0.05). Cortisol was significantly positively correlated with glucose, HOMA-IR, and waist circumference in males and females (P \u3c 0.05). After adjusting for potential confounders, cortisol was an independent positive predictor for HOMA-IR (P \u3c 0.05). Conclusions: These findings showed that chronic stress was associated with insulin resistance and may contribute to the development of insulin resistance