Blood cell counting based on U-Net++ and YOLOv5

Clinical information about a variety of disorders is available through blood cell counting, which is usually done by manual methods. However, manual methods are complex, time-consuming and susceptible to the subjective experience of inspectors. Although many efforts have been made to develop automated blood cell counting algorithms, the complexity of blood cell distribution and the highly overlapping nature of some red blood cells (RBCs) remain significant challenges that limit the improvement of analytical accuracy. Here, we proposed an end-to-end method for blood cell counting based on deep learning. Firstly, U-Net++ was used to segment the whole blood cell image into several regions of interest (ROI), and each ROI contains only one single cell or multiple overlapping cells. Subsequently, YOLOv5 was used to detect blood cells in each ROI. Specifically, we proposed several strategies, including fine classification of RBCs, adaptive adjustment for non-maximal suppression (NMS) threshold and blood cell morphology constraints to improve the accuracy of detection. Finally, the detection outcomes for each ROI were combined and superimposed. The results show that our method can effectively address the issue of high overlap and precisely segment and detect blood cells, with a 98.18% accuracy rate for blood cell counting.     

一种改进的可追踪门限签名方案

早先的一种具有追踪性的门限签名方案,已被证明不具有可追踪性。针对该方案存在的缺陷,对其进行改进。理论分析证明,改进的方案在发生纠纷时可打开群签名追踪实际签名者,签名者能证明自己是否参与签名,并有效抵御群体内部的伪造攻击和冒充攻击。     

Emotional agent based on rough set

To improve the ability of agent for handling emotions, a new architecture for emotion agent is presented, based on the traditional BDI agent model and the rough set theory. By a new emotional reasoning algorithm based on rough set, the architecture performs emotion reasoning and implements the emotion treatment. An emotional agent grid based on this architecture has been realized, experiment results show that it is efficient to transact simple emotions by emotional agents.     

单漂移聚束器的非标准聚束模式

单漂移聚束器标准聚束模式要求粒子注入能量和聚束器漂移管的几何尺寸之间必须满足严格的条件,严重地限制了可聚束粒子的种类。文章论述了采用非标准聚束模式的方法,计算不同粒子在HI-13串列加速器上实现脉冲聚束的可行性。     

溪洛渡水电站拱坝施工期坝基变形监测分析

为了解溪洛渡水电站拱坝坝基在施工期、蓄水初期及运行期不同阶段的变形情况和工作状态,确保大坝安全,同时为给工程建设及运行期管理提供科学依据,对坝基垂直位移和水平位移进行了监测,并对监测资料进行了初步分析.监测结果表明拱坝坝基沉降变形比较均匀,变化规律正常.     

Antibacterial Characteristics of ZnO-CeO2 Nano-Powder Prepared by Laser Vapor Condensation

Microbialpollutionandcontaminationbymicroor ganismshaveproducedvarioustroublesinindustryandothervitalfields ,suchasdegradationandinfec tion .Thenewpasteurizationandantibacterialtech niqueshavebeendemandedandstudied[1] .Inrecentyears ,therareearthmetaloxid…     

氯霉素酶联免疫分析方法的建立

以兔抗氯霉素多抗为包被抗体,氯霉素（CAP）辣根过氧化物酶连接物为标记物,四甲基联苯胺（TMB）为显色底物,建立了氯霉素直接竞争酶联免疫分析（CAP-EIA）方法.本方法灵敏度为0.046 μg /L,批内变异系数＜10%,批间变异系数＜24%,回收率62%～145%.用牛奶样品预处理所得上清液为稀释液做得稀释实验,相关方程为y=3.988x-0.234, 相关系数为0.999.标准曲线范围为0.1～10 μg /L.     

强流质子RFQ加速腔热特性分析

利用有限元计算软件ANSYS分析了热效应对加速腔共振频率的影响,计算了RFQ腔体与热效应有关的参数,如水冷系统的冷却水温度、热交换系数等。     

Preparation and characterization of Ni/Co bimetallic nano-clusters

Ni/Co bimetallic nano-cluters have been prepared from the aqueous solution by reducing their corresponding metal salts under suitable conditions. The experimental conditions including the type and concentration of protective agent, feeding order and the pH of the solution that influence the average particle size have been studied in detail. Transmission electron microscopy (TEM) indicates that the shape of those bimetallic nano-cluster particles is spheroid. The alloy structure has been shown by X-ray powder diffraction (XRD). The X-ray photoelectron spectroscopic (XPS) data have confirmed that the nickel and cobalt in the bimetallic nano-clusters are in the zero-valence state.