Distributed Second-Order Continuous-Time Optimization via Adaptive Algorithm with Nonuniform Gradient Gains

Journal of Systems Science and Complexity - This paper addresses the distributed adaptive optimization problem over second-order multi-agent networks (MANs) with nonuniform gradient gains. A...     

国际重要检索系统与甘肃省科技期刊

对国际重要检索系统进行了论述,并对甘肃省科技期刊被国际重要检索系统收录情况进行了统计与分析。     

Temperature modeling and control of Direct Methanol Fuel Cell based on adaptive neural fuzzy technology

Aiming at on-line controlling of Direct Methanol Fuel Cell （DMFC） stack, an adaptive neural fuzzy inference technology is adopted in the modeling and control of DMFC temperature system. In the modeling process, an Adaptive Neural Fuzzy Inference System （ANFIS） identification model of DMFC stack temperature is developed based on the input-output sampled data, which can avoid the internal complexity of DMFC stack. In the controlling process, with the network model trained well as the reference model of the DMFC control system, a novel fuzzy genetic algorithm is used to regulate the parameters and fuzzy rules of a neural fuzzy controller. In the simulation, compared with the nonlinear Proportional Integral Derivative （PID） and traditional fuzzy algorithm, the improved neural fuzzy controller designed in this paper gets better performance, as demonstrated by the simulation results.     

圆形加速器平衡轨道的计算

使用有限差分法,对方程中的非线性部分做泰勒展开,将其中的一次项和二次项都移至方程左端,对一次项直接离散,二次项进行半隐式处理,采用多层网格法外推方案,只需要很小的计算量就可以得到准确的解.将计算结果与龙格-库塔法以及传统的近似解析法做了比较,磁场调变度较小时三种方法符合很好.当磁场调变度变大时,传统的近似解析法由于未考虑非线性效应呈现出较大的误差,本方法具有更高的精度.本方法可用于计算磁场调变度很大的圆形加速器(例如固定磁场交变梯度加速器)的粒子平衡轨道.     

基于灰色理论的主观信任计算方法

通过讨论传统信任模型和信任计算,提出了以灰色系统理论为基础的灰序白化评估算法.方法的基本原理是:以主体的网上交易额为参考序列,由客体对主体的关键属性评分构成计算序列,得出主体的信任水平序列,根据灰关联分析计算灰关联信任空间,求出序化点列,作序化点列图,得出白度序列,最后按照灰序白化分析得出主体的关键属性对主体的信任水平的影响次序.该算法克服了传统分析中将主体的关键属性对主体信任水平的影响大小视为相等的做法,具有评价可靠,可操作性强,适合软件自动处理等特点,在开放式环境中具有广阔的应用前景.     

两种生物农药对蚯蚓的急性毒性及氧化胁迫效应

为探究植物性杀虫剂鱼藤酮、藜芦碱对蚯蚓的影响选择赤子爱胜蚓(Eisenia foetida)为受试生物,通过急性毒性实验和抗氧化酶活性测定,揭示鱼藤酮、藜芦碱的毒性效应。结果显示,急性染毒试验鱼藤酮对蚯蚓24h、48h的半致死质量浓度分别为23.96mg/L、5.991mg/L,藜芦碱对蚯蚓24h、48h的半致死浓度分别为40.67mg/L、20.33 mg/L。说明藜芦碱、鱼藤酮对蚯蚓有致死效应,鱼藤酮的毒性强于藜芦碱;蚯蚓体重的增长受到了药物浓度的影响,有较明显的剂量效应关系,但随时间的延长对蚯蚓体重的抑制效应减弱;在药物胁迫下,SOD与POD活性变化随质量浓度增大呈现先上升后下降,蚯蚓体内SOD、POD响应不同,POD对药物响应更敏感。     

Lysosomal chymotrypsin B potentiates apoptosis via cleavage of Bid

We have reported that chymotrypsin B (CtrB) is not just a digestive enzyme but is also stored in lysosomes. Herein, we demonstrated a broad distribution of CtrB and explored the involvement of CtrB in apoptosis. Exposure of RH-35 cells to H₂O₂ or palmitate induced the redistribution of lysosomal CtrB into the cytoplasm as a result of lysosomal membrane permeabilization (LMP). Suppression of CtrB significantly blocked apoptosis, while overexpression of CtrB sensitized apoptosis markedly. CtrB could cleave Bid under neutral conditions. In RH-35 cells with Bid silenced, apoptosis induced by CtrB protein was attenuated, suggesting that CtrB mediates apoptosis of RH-35 cells mainly through processing Bid. Our data also suggest that LMP occurs earlier than mitochondrial outer membrane permeabilization; Bid activation initiated by caspase-8 might be reinforced by CtrB in consequence of LMP, which causes a positive feedback loop leading to the accumulation of tBid, and results in lysosome- and mitochondrion-dependent apoptosis.     

Exome sequencing of liver fluke-associated cholangiocarcinoma

Opisthorchis viverrini-related cholangiocarcinoma (CCA), a fatal bile duct cancer, is a major public health concern in areas endemic for this parasite. We report here whole-exome sequencing of eight O. viverrini-related tumors and matched normal tissue. We identified and validated 206 somatic mutations in 187 genes using Sanger sequencing and selected 15 genes for mutation prevalence screening in an additional 46 individuals with CCA (cases). In addition to the known cancer-related genes TP53 (mutated in 44.4% of cases), KRAS (16.7%) and SMAD4 (16.7%), we identified somatic mutations in 10 newly implicated genes in 14.8-3.7% of cases. These included inactivating mutations in MLL3 (in 14.8% of cases), ROBO2 (9.3%), RNF43 (9.3%) and PEG3 (5.6%), and activating mutations in the GNAS oncogene (9.3%). These genes have functions that can be broadly grouped into three biological classes: (i) deactivation of histone modifiers, (ii) activation of G protein signaling and (iii) loss of genome stability. This study provides insight into the mutational landscape contributing to O. viverrini-related CCA.     

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.     

Deep Learning-Based Classification of the Polar Emotions of “Moe”-Style Cartoon Pictures

The cartoon animation industry has developed into a huge industrial chain with a large potential market involving games, digital entertainment, and other industries. However, due to the coarse-grained classification of cartoon materials, cartoon animators can hardly find relevant materials during the process of creation. The polar emotions of cartoon materials are an important reference for creators as they can help them easily obtain the pictures they need. Some methods for obtaining the emotions of cartoon pictures have been proposed, but most of these focus on expression recognition. Meanwhile, other emotion recognition methods are not ideal for use as cartoon materials. We propose a deep learning-based method to classify the polar emotions of the cartoon pictures of the "Moe" drawing style. According to the expression feature of the cartoon characters of this drawing style, we recognize the facial expressions of cartoon characters and extract the scene and facial features of the cartoon images. Then, we correct the emotions of the pictures obtained by the expression recognition according to the scene features. Finally, we can obtain the polar emotions of corresponding picture. We designed a dataset and performed verification tests on it, achieving 81.9% experimental accuracy. The experimental results prove that our method is competitive.