Genetic Polymorphism of Angiotensin II Type 1 Receptors and Their Effect on the Clinical Outcome of Captopril Treatment in Arab Iraqi Patients with Acute Coronary Syndrome (Mid Euphrates)

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.     

比较文学教学的四个关键词

比较文学作为一门学科,内容丰富、学理性强。如何使学生真正了解比较文学学科的价值、意义,使他们正确运用比较文学原理、方法,深入开展文学研究,四个关键词至关重要,即：比较;影响;可比性;变异性。学生只有充分了解关键词的含义,切实掌握了关键词的运用,比较文学的教学才能收到事半功倍的成效。     

The role of self-construal in moderating the advertising repetition effect: evidence from Korea

This study explored the role of self-construal in moderating the effect of same- and varied-ad repetition on consumer response to advertising and brand on the basis of self-construal and encoding variability theory. In the study, subjects primed with independent or interdependent self-construal were exposed to either the same or varied ads. Findings indicate that, for foreground information in ad, independent self-construal subjects elicited more than interdependent self-construal subjects in same-ad repetition whereas there was no difference between independent and interdependent self-construal subjects in varied-ad repetition. However, for background information, interdependent self-construal subjects performed better than independent self-construal subjects in both same- and varied-ad repetition. In the case of brand recall, in varied-ad repetition, interdependent self-construal subjects recalled better than independent self-construal subjects did, whereas there was no difference between interdependent and independent self-construal subjects in same-ad repetition. It was also found interdependent self-construal subjects evaluated the target brand more positively than independent self-construal subjects did in varied-ad repetition. However, there was no difference in brand attitude between independent and interdependent subjects in same-ad repetition.     

Alterations in autonomic cardiac modulation in response to normobaric hypoxia

Purpose: The present study aimed to determine if autonomic cardiac modulation was influenced by acute exposure to normobaric hypoxia. Method: Ten healthy male lowland dwellers completed five block-randomised single-blinded, crossed-over acute exposures to a normobaric hypoxic environment, each separated by 24 hours’ recovery (20.3%, 17.4%, 14.5%, 12.0% and 9.8% F_IO₂). Supine recordings were made of arterial oxygen saturation and electrocardiogram (ECG). RR intervals from the ECG trace were analysed for time (SDNN, lnrMSSD), frequency (lnVLF, lnLF, lnHF, lnTP, LFnu, and HFnu), and nonlinear (DFA-α1 and SampEn) heart rate variability components. Results: A significant reduction in arterial SaO₂ occurred with reduced F_IO₂, along with a rise in heart rate (Cohen’s d?=?1.16, 95% Confidence Interval [2.64–6.46]), significant at 9.8% F_IO₂. A decrease in autonomic cardiac modulation was also found as shown by a statistically significant (at 9.8% F_IO₂) decrease in lnTP (d?=?1.84 [1.74–1.94]), and SampEn (d?=?0.98 [0.83–1.12]) and an increase in DFA-α₁ (d?=?0.72 [0.60–0.84]) from normoxia at 9.8% F_IO₂. Conclusion: The decrease in variability indicated a reduction in autonomic cardiac modulation. There appears to be a threshold ～9.8% F_IO₂ (～6000?m equiv.), below which significant alterations in autonomic control occur.     

BLUP法种猪遗传评定在加拿大

饲养在不同猪群的种猪，其生产性能的原始或校正的背膘和年龄数据是遗传和环境的混合，而我们要选择的是遗传部分而不是其所在饲养的环境。估计育种值(EBVs)是种用猪遗传价值的统计估计值，是猪遗传改良方案中的一种新遗传评定系统。它以猪个体性能和其亲属性能为基础，在其选择决策中考虑母猪或公猪家系，考虑性状的遗传力，群内遗传差异以及品种遗传趋势，然后通过最佳线性无偏预测(BLUP)法来计算出EBVs。加拿大全国运用BLUP动物模型对猪生产成绩(100kg时的背膘和日龄)和母猪生产能力(产仔数)进行日常数据计算机处理后得到种猪遗传评定。种猪遗传改进的现行估计是每年背膘和日龄分别下降了0．35毫米和1．5天，这些进展比1985年应用BLUP法前背膘和日龄的下降快50％和200％。目前，对母猪的生产性状，胴体品质的遗传评定工作也已经着手研究。     

小生境遗传算法在函数优化中的应用

探讨了基于稳态复制策略的二进制小生境遗传算法,并把其应用于复杂函数优化问题中,通过与基于最优保存策略的基本遗传算法进行比较,说明改进算法可以极大克服遗传算法未成熟收敛问题以及极易陷入局部解问题,提高了算法收敛性能和收敛速度。     

快速、准确的图像阈值分割新方法

图像分割是数字图像处理系统中基本而关键的技术.通过阈值分割是其最简单的技术,它假设目标和背景是可以分离的.详细讨论将自适应遗传算法与OTSU算法相结合应用于最佳阈值的确定中,提出了相应的算法并用于图像分割,由于自适应遗传算法具有全局搜索最优解能力,因此能在很短时间内自动确定阈值.实验仿真结果表明,该方法不仅可以实现准确的图像分割,并且使得分割速度大大提高.     

Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm

The Inductive Query By Example (IQBE) paradigm allows a system to automatically derive queries for a specific Information Retrieval System (IRS). Classic IRSs based on this paradigm [Smith, M., & Smith, M. (1997). The use of genetic programming to build Boolean queries for text retrieval through relevance feedback. Journal of Information Science, 23(6), 423–431] generate a single solution (Boolean query) in each run, that with the best fitness value, which is usually based on a weighted combination of the basic performance criteria, precision and recall.     

Genetic analysis for brix weight per stool and its component traits in sugarcane （Saccharum officinarum）

Brix weight per stool (BW) of sugarcane is a complex trait, which is the final product of a combination of many components. Diallel cross experiments were conducted during a period of two years for BW and its five component traits, including stalk diameter (SD), stalk length (SL), stalk number (SN), stalk weight (SW), and brix scale (BS) of sugarcane. Phenotypic data of all the six traits were analyzed by mixed linear model and their phenotype variances were portioned into additive (A),dominance (D), additive×environment interaction (AE) and dominance×environment interaction (DE) effects, and the correlations of A, D, AE and DE effects between BW and its components were estimated. Conditional analysis was employed to investigate the contribution of the components traits to the variances of A, D, AE and DE effects of BW. It was observed that the heritabilities of BW were significantly attributed to A, D and DE by 23.9%, 30.9% and 28.5%, respectively. The variance of A effect for BW was significantly affected by SL, SN and BS by 25.3%, 93.7% and 17.4%, respectively. The variances of D and DE effects for BW were also significantly influenced by all the five components by 5.1%～85.5%. These determinants might be helpful in sugarcane breeding and provide valuable information for multiple-trait improvement of BW.     

WOMBAT A tool for mixed model analyses in quantitative genetics by restricted maximum likelihood （REML）

WOMBAT is a software package for quantitative genetic analyses of continuous traits, fitting a linear, mixed model; estimates of covariance components and the resulting genetic parameters are obtained by restricted maximum likelihood. A wide range of models, comprising numerous traits, multiple fixed and random effects, selected genetic covariance structures, random regression models and reduced rank estimation are accommodated. WOMBAT employs up-to-date numerical and computational methods. Together with the use of efficient compilers, this generates fast executable programs, suitable for large scale analyses. Use of WOMBAT is illustrated for a bivariate analysis. The package consists of the executable program, available for LINUX and WINDOWS environments, manual and a set of worked example, and can be downloaded free of charge from http://agbu. une.edu.au/~kmeyer/wombat.html