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1.
Fadhaa A. Ghafil Bassim I. Mohammad Hussain S. Al-Janabi Najah R. Hadi Hayder A. Al-Aubaidy 《Indian journal of clinical biochemistry : IJCB》2021,36(1):81
Genetic variation in the angiotensin II type 1 receptor (AT1R) has an important effect on the outcome of acute coronary syndrome (ACS) initiated treatment with captopril. This study aims to investigate the impact of genetic polymorphism of AT1R (rs5186 and rs275651) on the ACS outcome in Iraqi patients treated with captopril. A total of 250 Iraqi individuals with ACS were included in this case—control study and they were divided into two study groups; Study group 1 included 125 participants who were prescribed captopril, 25 mg twice daily and study group 2 included 125 participants who received no captopril as part of their ACS treatment (control study). The AT1R gene (rs5186) CC genotype was found to be associated with ST-elevation myocardial infarction (STEMI) (Odd’s ratio (O.R) = 1.2, P = 0.7), while AC was associated with Non-ST-elevation myocardial infarction (NSTEMI) and unstable angina (UA) (O.R = 1.2, P = 0.8). AC genotype is more prone to have Percutaneous coronary intervention (PCI) after ACS attack (O.R = 1.2, P = 0.6). CC genotype had a risk to get less improvement (O.R = 1.6, P = 0.5), so might require higher doses of captopril during acute coronary insult. The AT1R gene (rs275651) AA genotype was associated with UA (O.R = 1.3, P = 0.9). AA and AT genotypes were more prone to have PCI after ACS attack (O.R = 3.9 P = 0.2, O.R = 3.5, P = 0.3 respectively) and thus requiring higher doses of captopril. We conclude that the AT1R rs5186, rs275651 genetic polymorphisms might partially affect the clinical outcome of ACS patients treated with captopril and might have captopril resistance which requires higher doses. 相似文献
2.
Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean). 相似文献
3.
Review helpfulness is attracting increasing attention of practitioners and academics. It helps in reducing risks and uncertainty faced by users in online shopping. This study examines uninvestigated variables by looking at not only the review characteristics but also important indicators of reviewers. Several significant review content and two reviewer variables are proposed and an effective review helpfulness prediction model is built using stochastic gradient boosting learning method. This study derived a mechanism to extract novel review content variables from review text. Six popular machine learning models and three real-life Amazon review data sets are used for analysis. Our results are robust to several product categories and along three Amazon review data sets. The results show that review content variables deliver the best performance as compared to the reviewer and state-of-the-art baseline as a standalone model. This study finds that reviewer helpfulness per day and syllables in review text strongly relates to review helpfulness. Moreover, the number of space, aux verb, drives words in review text and productivity score of a reviewer are also effective predictors of review helpfulness. The findings will help customers to write better reviews, help retailers to manage their websites intelligently and aid customers in their product purchasing decisions. 相似文献
4.
夏冰 《浙江传媒学院学报》2003,10(3):18-20
新闻策划是对新闻报道活动的策划,电视新闻策划是现代社会受众和电视自身发展的需要。电视新闻的策划重在发挥电 视传播的优势,强调整体的协作。 相似文献
5.
中国传统文化与学校体育可持续发展 总被引:2,自引:0,他引:2
中国传统文化是学校体育可持续发展的外环境因素,它主要由儒家、道家和禅宗文化构成,具有中庸和平、泛道德性、人文精神、非独立性、静止停滞、乡土情结等特质,通过研究它的理性因素对学校体育可持续发展的正面影响和非理性因素带来的负面影响,来探讨在学校体育思想、内容和方法上应采取的发展对策。 相似文献
6.
论述了学习《普通高等学校图书馆规程(修订)》的体会,分析了(普通高等学校图书馆规程(修订)》对新形势下高校图书馆数字化献资源建设和服务、特色建设和资源共享、“学科馆员”的培养、网络建设和献信息传递的强调和重视。 相似文献
7.
GM(1,h)系统状态模型在田径训练中的应用 总被引:4,自引:0,他引:4
将多因素整体状态GM(1,h)模型及其特列GM(1,1)模型结合起来,用于高水平田径训练的建模问题研究,使建立的系统模型既能反映系统内部多因素的整体关系,又能满足超前预测和规划的需要,旨为田径训练提供了一种有效的科学方法。 相似文献
8.
电大生《经济数学基础》课程学习困难的成因分析 总被引:1,自引:0,他引:1
潘红卫 《广西广播电视大学学报》2003,14(4)
本文对电大生《经济数学基础》课程学习困难的成因进行了分析,并对教师在该课程教学中要注意的问题提出了几点建议。 相似文献
9.
运用问卷调查法、数理统计法等对我省225名中小学青年体育教师的师德修养、文化素质、心理素质、科研能力和社会适应能力等方面进行了调查,对调查结果进行了分析讨论并提出了相应对策,为高师体育教育本科专业教育教学改革提供了依据和参考. 相似文献
10.