Background Little is known about the association between type D personality and self-care behaviors in heart failure （HF） patients. We examined the effect of type D personality on self-care behaviors and self-effica...Background Little is known about the association between type D personality and self-care behaviors in heart failure （HF） patients. We examined the effect of type D personality on self-care behaviors and self-efficacy among Chinese HF patients. Methods A cross-sectional study with a convenience sample was conducted. All participants completed the questionnaires of the self-care of HF index （V6） and type D personality scale. Demographic and clinical variables were obtained from medical records and patient interviews. The me- thods used for data analysis included descriptive analysis, independent-sample t-test, Z2 test, and multiple linear regression. Results A total of 127 HF patients were included and 61.4% of them were male. The average age for this study sample was 64.9± 12.34 years. The majority of the participants were in a New York Heart Association class III or IV （87%）, and the average length of living with HF was 38.24 ± 41.1 months. A total of 33.1% of the participants were identified as having type D personality. No significant differences were determined in the demographic and clinical variables between type D and non-type D patients, except for the mean age and the length of living with HF. Type D patients were younger and had a shorter time of living with HF than their non-type D counterparts. Multiple regression demonstrated significant associations between type D personality and self-care maintenance and self-efficacy after adjusting the demographic and clinical factors. However, type D personality was not significantly associated with self-care management behaviors. Conclusions Type D personality was negatively related to self-care maintenance and self-efficacy in Chinese HF patients. Future study is warranted to develop a tailored intervention to improve engagement in self-care behaviors in HF patients with type D personality.展开更多
This study explores the relationship between socioeconomics and millinery style through an analysis of statistical data from the United States Bureau of Statistics. It was very common for women to wear hats in the ear...This study explores the relationship between socioeconomics and millinery style through an analysis of statistical data from the United States Bureau of Statistics. It was very common for women to wear hats in the early 20th century. Most studies regarding millinery are limited to a discussion of style, while some focus on extended functions of millinery styles such as how they aid in social communication. In this study, we discuss the relationship between a woman＇s socioeconomic status and her hat-wearing behavior. This study covers the period from 1900 through the 1960s, when there was a sudden decline in hat-wearing behavior. We analyzed the changes in the number of people listed in various occupational categories in the U.S. Bureau of Statistics data for each decade. Careful observation of labor distribution statistics for the job market can yield valuable insights about women＇s hat-wearing behaviors. Fluctuations in the population of the lower class were significantly correlated with changes in millinery. We also identified time-sensitive periods in millinery style that coincided with the two World Wars.展开更多
The paper study improved K-means algorithm and establish indicators to classify customers according to RFM model. Experimental results show that, the new algorithm has good convergence and stability, it has better tha...The paper study improved K-means algorithm and establish indicators to classify customers according to RFM model. Experimental results show that, the new algorithm has good convergence and stability, it has better than single use of FKP algorithms for clustering. Finally the paper study the application of clustering in customer segmentation of mobile communication enterprise. It discusses the basic theory, customer segmentation methods and steps, the customer segmentation model based on consumption behavior psychology, and the segmentation model is successfully applied to the process of marketing decision support.展开更多
The FIFA World Cup^(TM) is the most profitable worldwide event.The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition.This work is focused...The FIFA World Cup^(TM) is the most profitable worldwide event.The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition.This work is focused on the extraction of behavioural patterns for both,players and teams strategies,through the automated analysis of this dataset.The knowledge and models extracted in this work could be applied to soccer leagues or even it could be oriented to sport betting.However,the main contribution is related to the study on several automatic knowledge extraction techniques,such as clustering methods,and how these techniques can be used to obtain useful behavioural models from a global statistics dataset.The information provided by the clustering algorithms shows similar properties which have been combined to define the models,making the human interpretation of these statistics easier.Finally,the most successful teams strategies have been analysed and compared.展开更多
Behavior-based malware analysis is an important technique for automatically analyzing and detecting malware, and it has received considerable attention from both academic and industrial communities. By considering how...Behavior-based malware analysis is an important technique for automatically analyzing and detecting malware, and it has received considerable attention from both academic and industrial communities. By considering how malware behaves, we can tackle the malware obfuscation problem, which cannot be processed by traditional static analysis approaches, and we can also derive the as-built behavior specifications and cover the entire behavior space of the malware samples. Although there have been several works focusing on malware behavior analysis, such research is far from mature, and no overviews have been put forward to date to investigate current developments and challenges. In this paper, we conduct a survey on malware behavior description and analysis considering three aspects： malware behavior description, behavior analysis methods, and visualization techniques. First, existing behavior data types and emerging techniques for malware behavior description are explored, especially the goals, prin- ciples, characteristics, and classifications of behavior analysis techniques proposed in the existing approaches. Second, the in- adequacies and challenges in malware behavior analysis are summarized from different perspectives. Finally, several possible directions are discussed for future research.展开更多
We study the multi-peakon solutions for two new coupled Camassa–Holm equations, which include twocomponent and three-component Camassa–Holm equations. These multi-peakon solutions are shown in weak sense. In particu...We study the multi-peakon solutions for two new coupled Camassa–Holm equations, which include twocomponent and three-component Camassa–Holm equations. These multi-peakon solutions are shown in weak sense. In particular, the double peakon solutions of both equations are investigated in detail. At the same time, the dynamic behaviors of three types double peakon solutions are analyzed by some figures.展开更多
文摘Background Little is known about the association between type D personality and self-care behaviors in heart failure （HF） patients. We examined the effect of type D personality on self-care behaviors and self-efficacy among Chinese HF patients. Methods A cross-sectional study with a convenience sample was conducted. All participants completed the questionnaires of the self-care of HF index （V6） and type D personality scale. Demographic and clinical variables were obtained from medical records and patient interviews. The me- thods used for data analysis included descriptive analysis, independent-sample t-test, Z2 test, and multiple linear regression. Results A total of 127 HF patients were included and 61.4% of them were male. The average age for this study sample was 64.9± 12.34 years. The majority of the participants were in a New York Heart Association class III or IV （87%）, and the average length of living with HF was 38.24 ± 41.1 months. A total of 33.1% of the participants were identified as having type D personality. No significant differences were determined in the demographic and clinical variables between type D and non-type D patients, except for the mean age and the length of living with HF. Type D patients were younger and had a shorter time of living with HF than their non-type D counterparts. Multiple regression demonstrated significant associations between type D personality and self-care maintenance and self-efficacy after adjusting the demographic and clinical factors. However, type D personality was not significantly associated with self-care management behaviors. Conclusions Type D personality was negatively related to self-care maintenance and self-efficacy in Chinese HF patients. Future study is warranted to develop a tailored intervention to improve engagement in self-care behaviors in HF patients with type D personality.
文摘This study explores the relationship between socioeconomics and millinery style through an analysis of statistical data from the United States Bureau of Statistics. It was very common for women to wear hats in the early 20th century. Most studies regarding millinery are limited to a discussion of style, while some focus on extended functions of millinery styles such as how they aid in social communication. In this study, we discuss the relationship between a woman＇s socioeconomic status and her hat-wearing behavior. This study covers the period from 1900 through the 1960s, when there was a sudden decline in hat-wearing behavior. We analyzed the changes in the number of people listed in various occupational categories in the U.S. Bureau of Statistics data for each decade. Careful observation of labor distribution statistics for the job market can yield valuable insights about women＇s hat-wearing behaviors. Fluctuations in the population of the lower class were significantly correlated with changes in millinery. We also identified time-sensitive periods in millinery style that coincided with the two World Wars.
文摘The paper study improved K-means algorithm and establish indicators to classify customers according to RFM model. Experimental results show that, the new algorithm has good convergence and stability, it has better than single use of FKP algorithms for clustering. Finally the paper study the application of clustering in customer segmentation of mobile communication enterprise. It discusses the basic theory, customer segmentation methods and steps, the customer segmentation model based on consumption behavior psychology, and the segmentation model is successfully applied to the process of marketing decision support.
基金partly supported by:Spanish Ministry of Science and Education under project TIN201019872the grant BES-2011-049875 from the same MinistryJobssy.com company under project FUAM076913
文摘The FIFA World Cup^(TM) is the most profitable worldwide event.The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition.This work is focused on the extraction of behavioural patterns for both,players and teams strategies,through the automated analysis of this dataset.The knowledge and models extracted in this work could be applied to soccer leagues or even it could be oriented to sport betting.However,the main contribution is related to the study on several automatic knowledge extraction techniques,such as clustering methods,and how these techniques can be used to obtain useful behavioural models from a global statistics dataset.The information provided by the clustering algorithms shows similar properties which have been combined to define the models,making the human interpretation of these statistics easier.Finally,the most successful teams strategies have been analysed and compared.
基金Project supported by the National Natural Science Foundation of China(No.61472437)
文摘Behavior-based malware analysis is an important technique for automatically analyzing and detecting malware, and it has received considerable attention from both academic and industrial communities. By considering how malware behaves, we can tackle the malware obfuscation problem, which cannot be processed by traditional static analysis approaches, and we can also derive the as-built behavior specifications and cover the entire behavior space of the malware samples. Although there have been several works focusing on malware behavior analysis, such research is far from mature, and no overviews have been put forward to date to investigate current developments and challenges. In this paper, we conduct a survey on malware behavior description and analysis considering three aspects： malware behavior description, behavior analysis methods, and visualization techniques. First, existing behavior data types and emerging techniques for malware behavior description are explored, especially the goals, prin- ciples, characteristics, and classifications of behavior analysis techniques proposed in the existing approaches. Second, the in- adequacies and challenges in malware behavior analysis are summarized from different perspectives. Finally, several possible directions are discussed for future research.
基金Supported by the National Natural Science Foundation of China under Grant No.11261037the Natural Science Foundation of Inner Mongolia Autonomous Region under Grant No.2014MS0111+1 种基金the Caoyuan Yingcai Program of Inner Mongolia Autonomous Region under Grant No.CYYC2011050the Program for Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region under Grant No.NJYT14A04
文摘We study the multi-peakon solutions for two new coupled Camassa–Holm equations, which include twocomponent and three-component Camassa–Holm equations. These multi-peakon solutions are shown in weak sense. In particular, the double peakon solutions of both equations are investigated in detail. At the same time, the dynamic behaviors of three types double peakon solutions are analyzed by some figures.
