Identification of low-frequency variants associated with gout and serum uric acid levels

We tested 16 million SNPs, identified through whole-genome sequencing of 457 Icelanders, for association with gout and serum uric acid levels. Genotypes were imputed into 41,675 chip-genotyped Icelanders and their relatives, for effective sample sizes of 968 individuals with gout and 15,506 individuals for whom serum uric acid measurements were available. We identified a low-frequency missense variant (c.1580C>G) in ALDH16A1 associated with gout (OR = 3.12, P = 1.5 × 10(-16), at-risk allele frequency = 0.019) and serum uric acid levels (effect = 0.36 s.d., P = 4.5 × 10(-21)). We confirmed the association with gout by performing Sanger sequencing on 6,017 Icelanders. The association with gout was stronger in males relative to females. We also found a second variant on chromosome 1 associated with gout (OR = 1.92, P = 0.046, at-risk allele frequency = 0.986) and serum uric acid levels (effect = 0.48 s.d., P = 4.5 × 10(-16)). This variant is close to a common variant previously associated with serum uric acid levels. This work illustrates how whole-genome sequencing data allow the detection of associations between low-frequency variants and complex traits.     

民族地区高校服务地方“三融合”ICT人才培养研究与实践——一西昌学院为例

提出了“‘三融合’ICT应用型人才培养”教改模式,阐述了该模式的背景、凉山民族地区高校信息与通信技术（ICT）人才培养存在的问题,以西昌学院为例, 介绍了“‘三融合’ICT应用型人才培养模式”的实践路径, 即通过专业融合、产教融合、两育融合,从培养方案、课程体系、教学方法、评价方式、实践教学、“双师”队伍、职业精神和中华民族共同体意识这8个方面进行实践,形成凉山民族地区高校服务地方的“三融合”ICT应用型人才培养新路径。分析了该模式在凉山民族地区人才培养、产业发展、脱贫奔康和乡村振兴中所取得的积极实践成果。     

ADINA在桩锚深基坑三维有限元分析中的应用

采用三维有限元模型,应用大型有限元软件ADINA,对沈阳中铝大厦基坑进行模拟分析。介绍了工程情况与模型相关设置,将实际监测变形值与模拟值进行比较,验证模型的可行性,通过提取后处理变形数据。考察了基坑工程的空间特性。     

Hierarchical Community Detection Based on Partial Matrix Convergence Using Random Walks

Random walks are a standard tool for modeling the spreading process in social and biological systems.But in the face of large-scale networks,to achieve convergence,iterative calculation of the transition matrix in random walk methods consumes a lot of time.In this paper,we propose a three-stage hierarchical community detection algorithm based on Partial Matrix Approximation Convergence(PMAC) using random walks.First,this algorithm identifies the initial core nodes in a network by classical measurement and then utilizes the error function of the partial transition matrix convergence of the core nodes to determine the number of random walks steps.As such,the PMAC of the core nodes replaces the final convergence of all the nodes in the whole matrix.Finally,based on the approximation convergence transition matrix,we cluster the communities around core nodes and use a closeness index to merge two communities.By recursively repeating the process,a dendrogram of the communities is eventually constructed.We validated the performance of the PMAC by comparing its results with those of two representative methods for three real-world networks with different scales.     

Improving the photocatalytic activity of graphitic carbon nitride by thermaltreatment in a high-pressure hydrogen atmosphere

Extending visible light absorption range and suppressing the recombination of photogenerated charge carriers are always important topics in developing efficient solar-driven photocatalysts. In this study, the thermal treatment process at 400 °C in a high-pressure hydrogen atmosphere was applied to modify graphitic carbon nitride. Compared to the normal atmospheric hydrogen treatment process, this process has the merit of producing nitrogen deficient graphitic carbon nitride in high-yield. The optimal photocatalytic activity of modified graphitic carbon nitride was demonstrated by controlling the treatment duration in the hydrogen atmosphere.The changes in the crystal structure, microstructure and optical properties of carbon nitrides were investigated by several characterizations. The relationship between the photocatalytic activity and structures of graphitic carbon nitride was preliminarily established. The results obtained in this study could provide some new ways of improving the activity of graphitic carbon nitride based photocatalyst.     

C3N4/ZnO复合材料可见光下的甲醛光电气敏性能

以水热法合成的ZnO纳米棒花为载体,将C_3N_4定量负载在其表面,制备C_3N_4/ZnO复合材料.由于C_3N_4与ZnO的能级匹配,可有效促进其光生电荷的分离,降低光生电荷复合率,显著提高载流子浓度,使其光电流明显增加.C_3N_4与ZnO质量比为2%的样品(2%C_3N_4/ZnO)性能最佳,其光电流在370 nm处可达120μA,为纯ZnO的2.4倍.在室温可见光下,2%C_3N_4/ZnO样品对HCHO的光电气敏响应值可达122%,比纯ZnO高4倍左右.结果表明,适量C_3N_4的负载有效延长了光生电荷的寿命,使ZnO材料在可见光区对HCHO气体表现出高效的光电气敏性能.     

苯甲腈类有机污染物在水中光化学降解的研究

以５００Ｗ中压汞灯为光源，对２１种苯甲腈类化合物在水溶液中的光化学降解（下简称光解）进行了研究。结果表明，该类化合物的光解符合一级动力学反应方程，半衰期均小于３５ｍｉｎ。实验证明存在基态电荷转移络合物（ＣｈａｒｇｅＴｒａｎｓｆｅｒＣｏｍｐｌｅｘ，下简称ＣＴＣ），并认为是引起光氧化反应的重要因素。苯环上斥电子取代基、腐殖酸、一些无机盐、酸性或碱性介质、温度等均能加快反应，但吸电子取代基会减慢反应、本文还以日光为光源对几种苯甲腈类化合物在天然水中进行了光解研究，表明光解速率较慢，推测反应主要是水中可溶解有机物（下简称ＤＯＭ）的光敏化所致。     

概念设计产品表示模型研究

给出设计特征、功能转换传递元等概念,对FTU的结构表示和FTU的结构组合进行了描述.在已提出的概念设计产品基于原型构件-原型接合的层次P/T模型的基础上,建立了带能量流动关系的概念设计产品P/T模型.采用有向图来表示FTU结构单元之间的能量流动关系,从而建立起完善的概念设计产品结构模型.     

地板送风静压层内气流的数值模拟与送风特性实验

采用计算流体力学(CFD)技术,对地板送风静压层的空气流动进行了数值模拟,并进行了典型的实验来验证计算结果.通过对计算结果与实验结果的比较,说明对于地板送风静压层内空气流动的CFD模拟,采用0 1 m的网格划分间距、标准k ε湍流模型是合理的.实验和计算结果一致表明,对于高度为170 mm的地板送风静压层,地板送风口的速度和送风量分布受到入口射流的影响,处于不同位置的地板送风口,其速度分布不同,有的均匀,有的速度值相差10倍.由数值模拟的地板送风静压层内空气流动特征,可展示和分析地板送风静压层的以上送风特性.