AIM: To evaluate the association between xeroderma pigmentosum group D (XPD), genetic polymorphism Lys751Gln and esophageal cancer risk. METHODS: We searched PubMed up to September 1, 2010 to identify eligible studies...AIM: To evaluate the association between xeroderma pigmentosum group D (XPD), genetic polymorphism Lys751Gln and esophageal cancer risk. METHODS: We searched PubMed up to September 1, 2010 to identify eligible studies. A total of 10 casecontrol studies including 2288 cases and 4096 controls were included in the meta-analysis. Statistical analysis was performed with Review Manage version 4.2. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of the association.RESULTS: The results suggested that there is no significant association between XPD Lys751Gln polymorphism and esophageal cancer susceptibility in the overall population. However, in subgroup analysis by histology type, a significant association was found between XPD Lys751Gln polymorphism and esophageal adenocarcinoma (for CC vs AA: OR = 1.25, 95% CI = 1.01-1.55, P = 0.05 for heterogeneity). CONCLUSION: Our meta-analysis suggested that XPD Lys751Gln polymorphism may be associated with increased risk of esophageal adenocarcinoma.展开更多
Assessment of temporal and spatial variations in surface water quality is important to evaluate the health of a watershed and make necessary management decisions to control current and future pollution of receiving wa...Assessment of temporal and spatial variations in surface water quality is important to evaluate the health of a watershed and make necessary management decisions to control current and future pollution of receiving water bodies. In this work, surface water quality data for 12 physical and chemical parameters collected from 10 sampling sites in the Nenjiang River basin during the years(2012-2013) were analyzed. The results show that river water quality has significant temporal and spatial variations. Hierarchical cluster analysis(HCA) grouped 12 months into three periods(LF, MF and HF) and classified 10 monitoring sites into three regions(LP, MP and HP) based on the similarity of water quality characteristics. The principle component analysis(PCA)/factor analysis(FA) was used to recognize the factors or origins responsible for temporal and spatial water quality variations. Temporal and spatial PCA/FA revealed that the Nenjiang River water chemistry was strongly affected by rock/water interaction, hydrologic processes and anthropogenic activities. This work demonstrates that the application of HCA and PCA/FA has achieved meaningful classification based on temporal and spatial criteria.展开更多
Kuwaiti youth is an importam element in the field of development in the Kuwaiti society, especially in the field of self- consciousness and social consciousness incident. As always said, that young Gulf inherently con...Kuwaiti youth is an importam element in the field of development in the Kuwaiti society, especially in the field of self- consciousness and social consciousness incident. As always said, that young Gulf inherently consumerist element of first degree because of abundant liquidity and reasonable level of income compared to others of non - Gulf societies. Therefore, this research aims to study and analyze the impact of consumer awareness among the students of the Faculty of Business Administration in consumer protection in terms of the current role and hoped to guide consumption and its relationship to some economic and social characteristics of the consumers. In particular it has been studying the impact of some of the qualifications for heads of Kuwaiti families, their total monthly income and their place of residency inhabited by the expressive factors of consumer awareness in college students as well as their impact on the degree of preference for quality of consumer goods in being a low-price, median-price or expensive-price. In addition, it has been studying the relationship of these social variables noted with the role of government and consumer protection associations through what they are doing to develop laws and policies directed to develop and educate consumers. To achieve these goals, a special questionnaire has been prepared especially for this purpose has been met from a random sample of students from the University of Kuwait. I have been using the appropriate statistical analysis to study these goals. Thus, some of the appropriate suggestions and recommendations are obtained to achieve the objectives of this research.展开更多
Statistics and analysis was made in causes, places and proportions about all kinds of disasters and accidents in coal mines of China in resent 50 years. The analysis indicates the emphasis reason that result in the ac...Statistics and analysis was made in causes, places and proportions about all kinds of disasters and accidents in coal mines of China in resent 50 years. The analysis indicates the emphasis reason that result in the accidents in coal mines are artificial cause explosion of mash gas and coal dust, water flood, fire hazard. The accidents mostly happened on stope which is more often than other places, following by the driving work face. This not only supplies the managers with basic reference about safe administration, but also suggests the countermeasures in reducing accidents： improve the disposition of person, perfect all kinds of rules and regulations, severely investigate, analyze and deal with the accidents.展开更多
A novel nonlinear combination process monitoring method was proposed based on techniques with memo- ry effect （multivariate exponentially weighted moving average （MEWMA）） and kernel independent component analysis ...A novel nonlinear combination process monitoring method was proposed based on techniques with memo- ry effect （multivariate exponentially weighted moving average （MEWMA）） and kernel independent component analysis （KICA）. The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently devel- oped statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of mea- surements and it is a two-phase algorithm., whitened kernel principal component analysis （KPCA） plus indepen- dent component analysis （ICA）. The application to the fluid catalytic cracking unit （FCCU） simulated process in- dicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear rela- tionship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for lonu-term performance deterioration.展开更多
文摘AIM: To evaluate the association between xeroderma pigmentosum group D (XPD), genetic polymorphism Lys751Gln and esophageal cancer risk. METHODS: We searched PubMed up to September 1, 2010 to identify eligible studies. A total of 10 casecontrol studies including 2288 cases and 4096 controls were included in the meta-analysis. Statistical analysis was performed with Review Manage version 4.2. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of the association.RESULTS: The results suggested that there is no significant association between XPD Lys751Gln polymorphism and esophageal cancer susceptibility in the overall population. However, in subgroup analysis by histology type, a significant association was found between XPD Lys751Gln polymorphism and esophageal adenocarcinoma (for CC vs AA: OR = 1.25, 95% CI = 1.01-1.55, P = 0.05 for heterogeneity). CONCLUSION: Our meta-analysis suggested that XPD Lys751Gln polymorphism may be associated with increased risk of esophageal adenocarcinoma.
基金Project(2012ZX07501002-001)supported by Major Science and Technology Program for Water Pollution Control and Treatment of the Ministry of Science and Technology,China
文摘Assessment of temporal and spatial variations in surface water quality is important to evaluate the health of a watershed and make necessary management decisions to control current and future pollution of receiving water bodies. In this work, surface water quality data for 12 physical and chemical parameters collected from 10 sampling sites in the Nenjiang River basin during the years(2012-2013) were analyzed. The results show that river water quality has significant temporal and spatial variations. Hierarchical cluster analysis(HCA) grouped 12 months into three periods(LF, MF and HF) and classified 10 monitoring sites into three regions(LP, MP and HP) based on the similarity of water quality characteristics. The principle component analysis(PCA)/factor analysis(FA) was used to recognize the factors or origins responsible for temporal and spatial water quality variations. Temporal and spatial PCA/FA revealed that the Nenjiang River water chemistry was strongly affected by rock/water interaction, hydrologic processes and anthropogenic activities. This work demonstrates that the application of HCA and PCA/FA has achieved meaningful classification based on temporal and spatial criteria.
文摘Kuwaiti youth is an importam element in the field of development in the Kuwaiti society, especially in the field of self- consciousness and social consciousness incident. As always said, that young Gulf inherently consumerist element of first degree because of abundant liquidity and reasonable level of income compared to others of non - Gulf societies. Therefore, this research aims to study and analyze the impact of consumer awareness among the students of the Faculty of Business Administration in consumer protection in terms of the current role and hoped to guide consumption and its relationship to some economic and social characteristics of the consumers. In particular it has been studying the impact of some of the qualifications for heads of Kuwaiti families, their total monthly income and their place of residency inhabited by the expressive factors of consumer awareness in college students as well as their impact on the degree of preference for quality of consumer goods in being a low-price, median-price or expensive-price. In addition, it has been studying the relationship of these social variables noted with the role of government and consumer protection associations through what they are doing to develop laws and policies directed to develop and educate consumers. To achieve these goals, a special questionnaire has been prepared especially for this purpose has been met from a random sample of students from the University of Kuwait. I have been using the appropriate statistical analysis to study these goals. Thus, some of the appropriate suggestions and recommendations are obtained to achieve the objectives of this research.
文摘Statistics and analysis was made in causes, places and proportions about all kinds of disasters and accidents in coal mines of China in resent 50 years. The analysis indicates the emphasis reason that result in the accidents in coal mines are artificial cause explosion of mash gas and coal dust, water flood, fire hazard. The accidents mostly happened on stope which is more often than other places, following by the driving work face. This not only supplies the managers with basic reference about safe administration, but also suggests the countermeasures in reducing accidents： improve the disposition of person, perfect all kinds of rules and regulations, severely investigate, analyze and deal with the accidents.
基金The National Natural Science Foundation ofChina(No60504033)
文摘A novel nonlinear combination process monitoring method was proposed based on techniques with memo- ry effect （multivariate exponentially weighted moving average （MEWMA）） and kernel independent component analysis （KICA）. The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently devel- oped statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of mea- surements and it is a two-phase algorithm., whitened kernel principal component analysis （KPCA） plus indepen- dent component analysis （ICA）. The application to the fluid catalytic cracking unit （FCCU） simulated process in- dicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear rela- tionship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for lonu-term performance deterioration.
