Study on the fusion emotion classification of multiple characteristics based on attention mechanism

The current research on emotional classification uses many methods that combine the attention mechanism with neural networks.However,the effect is unsatisfactory when dealing with complex text.An emotional classification model is proposed,which combines multi-head attention(MHA)with improved structured-self attention(SSA).The model makes several different linear transformations of input by introducing MHA mechanism and can extract more comprehensive high-level phrase representation features from the word embedded vector.Meanwhile,it can realize the parallelization calculation and ensure the training speed of the model.The improved SSA structure uses matrices to represent different parts of a sentence to extract local key information,to ensure that the degree of dependence between words is not affected by time and sentence length,and generate the overall semantics of the sentence.Experiment results show that the current model effectively obtains global structural information and improves classification accuracy.     

Mutations in NMNAT1 cause Leber congenital amaurosis and identify a new disease pathway for retinal degeneration

Leber congenital amaurosis (LCA) is a blinding retinal disease that presents within the first year after birth. Using exome sequencing, we identified mutations in the nicotinamide adenine dinucleotide (NAD) synthase gene NMNAT1 encoding nicotinamide mononucleotide adenylyltransferase 1 in eight families with LCA, including the family in which LCA was originally linked to the LCA9 locus. Notably, all individuals with NMNAT1 mutations also have macular colobomas, which are severe degenerative entities of the central retina (fovea) devoid of tissue and photoreceptors. Functional assays of the proteins encoded by the mutant alleles identified in our study showed that the mutations reduce the enzymatic activity of NMNAT1 in NAD biosynthesis and affect protein folding. Of note, recent characterization of the slow Wallerian degeneration (Wld(s)) mouse model, in which prolonged axonal survival after injury is observed, identified NMNAT1 as a neuroprotective protein when ectopically expressed. Our findings identify a new disease mechanism underlying LCA and provide the first link between endogenous NMNAT1 dysfunction and a human nervous system disorder.     

A genome-wide association study in Han Chinese identifies new susceptibility loci for ankylosing spondylitis

To identify susceptibility loci for ankylosing spondylitis, we performed a two-stage genome-wide association study in Han Chinese. In the discovery stage, we analyzed 1,356,350 autosomal SNPs in 1,837 individuals with ankylosing spondylitis and 4,231 controls; in the validation stage, we analyzed 30 suggestive SNPs in an additional 2,100 affected individuals and 3,496 controls. We identified two new susceptibility loci between EDIL3 and HAPLN1 at 5q14.3 (rs4552569; P = 8.77 × 10(-10)) and within ANO6 at 12q12 (rs17095830; P = 1.63 × 10(-8)). We also confirmed previously reported associations in Europeans within the major histocompatibility complex (MHC) region (top SNP, rs13202464; P < 5 × 10(-324)) and at 2p15 (rs10865331; P = 1.98 × 10(-8)). We show that rs13202464 within the MHC region mainly represents the risk effect of HLA-B*27 variants (including HLA-B*2704, HLA-B*2705 and HLA-B*2715) in Chinese. The two newly discovered loci implicate genes related to bone formation and cartilage development, suggesting their potential involvement in the etiology of ankylosing spondylitis.     

重症急性胰腺炎病人外周血单个核细胞线粒体DNA拷贝数的意义

目的探讨重症急性胰腺炎患者外周血单个核细胞线粒体DNA拷贝数与患者病情严重程度、预后的相关性。方法分离研究对象（重症急性胰腺炎患者34名,健康对照组17名）外周血单个核细胞,采用荧光实时定量PCR检测各组PBMC线粒体DNA相对舍量,其与严重程度、预后的相关性。结果重症急性胰腺炎患者线粒体DNA含量较健康对照组明显降低（P〈0．05）。患者单个核细胞线粒体DNA拷贝教与APACHEⅡ评分呈负相关（r=-0．425）其中并发症组mtDNA拷贝数显著低于无并发症组（P〈0．05）。结论重症急性胰腺炎患者外周血单个核细胞中线粒体DNA含量显著下降,与患者APACHEⅡ评分呈负相关,且低水平的线粒体DNA拷贝数提示并发症发生率的升高,因此,线粒体DNA拷贝数可作为潜在评估患者病情危重程度及预后的指标,这一发现值得进一步大型,前瞻性的研究。     

电子视网膜数学建模的研究

介绍了相关的视觉生理特性,分析了视觉信息提取的特征,在小波变换理论的基础上,提出了一种电子视网膜数学模型。该模型具有崩溃环节,可根据需要改变参数值。     

配水管网饮用水微生物学水质研究

配水管网中细菌繁殖是钦用水二次污染的重要方面.为此,对中国南方某市市区配水管网中总余氯、总磷、可同化有机碳(AOC)和细菌总数等饮用水微生物学水质相关指标进行了研究.结果表明:余氯在配水管网的沿程上有明显的衰减过程,而且与细菌总数有很好的相关关系;细菌总数测定时间的研究结果均表现为72h>48h>24h,86.700的水样在培养24h后没有菌落形成,48h后4000的水样没有菌落形成.所有水样在培养48h后未表现超标,但培养72h后有12.500的水样细菌总数超标,即菌落数>100cfu/mL;细菌总数与总磷有较好的相关关系,总磷含量较高时细菌总数也较高;AOC在管网中浓度呈上升趋势,并与细菌总数有较好的相关关系,随管网的延伸AOC浓度的增加有减缓的趋势.总的来说该市饮用水水质较好,基本处于生物稳定性状态.     

考虑综合经济性的风光配电网储能优化配置

在配电网中配置储能系统可以有效缓解风光接入对配电网产生的影响,提升对风光的消纳能力、减少电压偏差等,而储能接入的位置和容量不同会对配电网产生不同的影响。首先分析储能建设过程中的主要费用,考虑基于分时电价下的网损成本和峰谷差收益,以年综合成本、配电网的日节点电压偏差和最小为目标,建立配电网储能选址定容模型,采用改进多目标遗传二代算法（Improved Multi-Objective Nondominated Sorting Genetic Ⅱ Algorithm,INSGA-II）对模型进行求解,利用改进理想点决策法（Improved Ideal Point Based Decision,IIPBD）来选取最优配置方案,最后在IEEE-33节点模型中对方案进行验证,仿真结果表明,使用INSGA-II算法进行求解时最终决策出的储能配置方案实现了成本最小,并且显著提升了电压的稳定性,验证了改进后算法的优良性和本文所提出的储能优化配置方案的有效性。     

中国高技术产业价值链全球地位及其影响因素 ——基于省际面板数据分析

基于2005-2018年中国28个省区市及五大行业面板数据,运用出口复杂度指标测度了中国高技术产业全球价值链地位,并实证分析了其影响因素.研究表明:经济发展水平与外商直接投资(FDI)正向促进了高技术产业价值链的全球地位,制造业投入服务化并没有对价值链地位的提升带来正向影响.异质性分析发现,经济发展水平与外商直接投资对东部、中部地区以及医药制造业、电子通信以及航空航天业的影响显著,西部地区主要受经济发展水平的影响,计算机业主要受外商直接投资的影响,医疗仪器业主要受经济发展水平的影响.     

甲/戊型肝炎病毒重组抗原基因的克隆及表达

 将甲肝病毒vp1编码基因(aa 24~171)和戊型肝炎病毒ORF2基因(aa 431~615)通过一段编码柔性甘氨酸链(Gly4 Ser Gly4)的基因片断连接,获得编码HAV/HEV融合蛋白基因(AEAg342).将该融合基因插入质粒pBV220,构建表达质粒pBV220-AEAg342.将pBV220-AEAg342转化入大肠杆菌BL21中进行表达,表达量约占菌体总量的20%,经离子交换层析纯化,目的蛋白纯度达90%以上.Western blot证实该蛋白能与甲肝及戊肝患者阳性血清发生特异性反映,为进一步开发双价疫苗和联合诊断试剂奠定了一定基础.