Graphene-Au nanoparticle based electrochemical immunosensor for fish pathogen Aphanomyces invadans detection

Epizootic ulcerative syndrome (EUS) that is primarily caused by an invasive oomycete fungus Aphanomyces invadans is a devastating fish disease. Rapid diagnosis of EUS is significantly important for the control and treatment of this highly invasive disease. In our study, a label-free immunosensor constructed with G-AuNPs/SAM-Ab-BSA/GCE was proposed for the determination of Aphanomyces invadans. The electrode was prepared by the immobilization of anti-mycelium antibodies on graphene-AuNPs nanocomposite-cysteamine monolayers modified GCE. The optimized parameters were as follows: 90 min as the immersion time of SAM modified electrode in the anti-mycelium solution, 0.20 µg/mL as the concentration of anti-mycelium solution and 10 min as the interaction time of immunoreaction. The immunosensors exhibited low limit detection of 309 ng/mL and good reproducibility.     

靶丸装配位置偏差对靶丸表面温度均匀性的影响

为了研究靶丸装配对惯性约束核聚变间接驱动靶系统中靶丸表面温度场的影响,建立了三维冷冻靶系统数值计算模型,利用CFD软件的传热和Boussinesq模型分析了系统的传热规律,并对靶丸装配中可能产生的装配偏差的影响进行了探究。结果表明:靶丸在水平方向上的装配位置偏差会对靶丸表面温度场分布产生极大的影响,而在竖直方向上的装配位置偏差影响相对较小。在竖直方向上看,向上偏移的位置偏差相对于向下偏移的位置偏差对靶丸温度均匀性的影响会较大。     

CMSs/PET微胶囊阻燃PET纤维制备与表征

将采用原位聚合法自制的核-壳型碳微球(CMSs)/聚对苯二甲酸乙二醇酯(PET)微胶囊(PCMSs)作为阻燃剂,采用熔融纺丝法制备阻燃PCMSs/PET功能纤维。通过扫描电镜、声速仪、强伸仪、极限氧指数仪等测试设备对添加不同质量分数的阻燃剂的阻燃功能纤维的结构及性能进行测试和表征。结果表明:当阻燃剂PCMSs的质量分数为0.6%时,PCMSs在PET纤维基体中的分散性和相容性良好,此时纤维表面较为光滑,同时具有优良的吸湿性能和阻燃性能,但其力学性能稍低于PCMSs质量分数为0.2%时的PCMSs/PET纤维。     

Optimized Identification with Severity Factors of Gastric Cancer for Internet of Medical Things

The Internet of Medical Things (IoMT) emerges with the vision of the Wireless Body Sensor Network (WBSN) to improve the health monitoring systems and has an enormous impact on the healthcare system for recognizing the levels of risk/severity factors (premature diagnosis, treatment, and supervision of chronic disease i.e., cancer) via wearable/electronic health sensor i.e., wireless endoscopic capsule. However, AI-assisted endoscopy plays a very significant role in the detection of gastric cancer. Convolutional Neural Network (CNN) has been widely used to diagnose gastric cancer based on various feature extraction models, consequently, limiting the identification and categorization performance in terms of cancerous stages and grades associated with each type of gastric cancer. This paper proposed an optimized AI-based approach to diagnose and assess the risk factor of gastric cancer based on its type, stage, and grade in the endoscopic images for smart healthcare applications. The proposed method is categorized into five phases such as image pre-processing, Four-Dimensional (4D) image conversion, image segmentation, K-Nearest Neighbour (K-NN) classification, and multi-grading and staging of image intensities. Moreover, the performance of the proposed method has experimented on two different datasets consisting of color and black and white endoscopic images. The simulation results verified that the proposed approach is capable of perceiving gastric cancer with 88.09% sensitivity, 95.77% specificity, and 96.55% overall accuracy respectively.     

一个在Horn子句中求解极大缩减的算法

在信念修正理论中,一个核心问题是求解一个公式集合关于事实集合的所有极大协调子集,即极大缩减.本文尝试从算法的角度来解决这一问题,研究在Horn子句中求解所有极大缩减的算法.首先,本文指出并证明了公式集合和事实集合并集的极小不协调子集与公式集合关于事实集合的极大缩减之间的转化关系.其次,给出并证明了Horn子句集合极小不协调的一个必要条件.然后,基于上述两个结论,本文提出了一个在Horn子句中枚举公式集合和事实集合并集的极小不协调子集的交互式算法和一个通过这些极小不协调子集计算所有极大缩减的算法.最后,综合这两个算法,提出了一个在Horn子句中求解所有极大缩减的交互式算法.     

An algorithm to compute maximal contractions for Horn clauses

In the theory of belief revision, the computation of all maximal subsets (maximal contractions) of a formula set with respect to a set of facts is one of the key problems. In this paper, we try to solve this problem by studying the algorithm to compute all maximal contractions for Horn clauses. First, we point out and prove the conversion relationship between minimal inconsistent subsets of union of the formula set and the set of facts and maximal contractions of the formula set with respect to th...     

差分演化的收敛性分析与算法改进

为了分析差分演化(differential evolution,简称DE)的收敛性并改善其算法性能,首先将差分算子(differential operator,简称DO)定义为解空间到解空间的笛卡尔积的一种随机映射,利用随机泛函理论中的随机压缩映射原理证明了DE的渐近收敛性;然后,在"拟物拟人算法"的启发下,通过对DE各进化模式的共性特征与性能差异的分析,提出了一种具有多进化模式协作的差分演化算法(differential evolution with multi-strategy cooperating evolution,简称MEDE),分析了它所具有的隐含特性,并在多模式差分算子(multi-strategy differential operator,简称MDO)定义的基础上证明了它的渐进收敛性.对5个经典测试函数的仿真计算结果表明,与原始的DE,DEfirDE和DEfirSPX等算法相比,MEDE算法在求解质量、适应性和鲁棒性方面均具有较明显的优势,非常适于求解复杂高维函数的数值最优化问题.     

Anti-periodic fractional boundary value problems

We study a class of anti-periodic boundary value problems of fractional differential equations. Some existence and uniqueness results are obtained by applying some standard fixed point principles. Several examples are given to illustrate the results.     

消化道生理参数检测胶囊系统的研究进展

胃肠道内的生理参数是评价胃肠道动力性疾病的重要参数.传统的插管方法会给病人带来严重的不适感,且会影响到病人的正常生活.为了克服传统插管方法的缺点,出现了一种新型的监测生理参数的胶囊系统,它可以根据生理参数的差异来诊断胃肠道疾病.针对生理参数检测胶囊系统对国际研究成果和国内研究现状进行了综述.     

多边形简化算法及比较

用多边形简化提高工程分析效率,利用图形学中三维模型简化的相关思想,从顶点删除和边收缩2个角度,提出3种多边形简化算法,并对其简化效果进行比较。实验结果表明,该算法在对多边形进行简化的同时能够有效保持多边形的形状,已应用于地质高程分析软件中。