Quick start-up of EGSB reactor treating fresh leachate of municipal solid waste

An expanded granular sludge bed （EGSB） reactor inoculated with anaerobic granular sludge was started up with its COD removal performance, self-balancing of pH, biogas production rate and characteristics of the granular sludge during the start-up period being investigated. The results indicated that the EGSB reactor can be started up successfully in 27 d by increasing the organic loading rate rapidly. The removal efficiency of COD was maintained above 93% with influent COD concentration of 25 000 mg/L and OLR of 37.94 kgCOD/（m 3 ·d）. The EGSB reactor with good pH self-balancing could be fed with fresh leachate of low pH value （4 5）. The biogas production rate was closely related with OLR and COD reduction. Every gram of COD fed （consumed） to the reactor produced 0.34 L STP （0.36 L STP ） biogas with 0.21 L STP （0.23 L STP ） methane. Thus, 65% 70% of the produced biogas was methane. Sixty one percentage of COD fed to the reactor was converted to methane, another 33% was converted to biomass by metabolism, and the other 6% was left in the liquid phase. The specific methanogenic activity （SMA） of the granular sludge had increased by 92% after 27 d dynamic incubation. The granular sludge in the reactor had good settlement performance with majority diameter of 1 2 mm.

Influence of quick release valve on braking performance and coupler force of heavy haul train

We establish a simulation model based on the theory of air flow to analyze the accelerated release effect of the quick release valve inside the air brake control valve.In addition, the combined simulation system of train air brake system and longitudinal train dynamics is used to analyze how the parameters of the quick release valve in the 120/120–1 brake control valve affect the propagation characteristics of the train brake pipe pressure wave, the release action range of the accelerated brake, and the longitudinal coupler force for a 20,000-ton heavy haul train on the section of the Datong–Qinhuangdao Railway. The results show that the quick release valve can effectively accelerate the rising speed of the train brake pipe pressure during the initial release, as the accelerated release effect is evident before the train brake pipe pressure reaches582 k Pa. The quick release valve can effectively accelerate the release of the rear cars, reducing the longitudinal coupler force impact due to time delay of the release process. The quick release valve can effectively reduce the tensile coupler force in the train by as much as 20% in certain cases.

After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records,Humans Quickly Do Better

In October 2022,machine learning experts at Deep Mind(London,UK),a subsidiary of Google(Mountain View,CA,USA),reported a“breakthrough”on an extremely common mathematical algorithm called matrix multiplication[1].In previous years,DeepMind has made headlines with its successes in using deep learning to master various games,such as Go[2],chess,and even the strategic board game Diplomacy,and,in a more recent and clearly practical application with its Alpha Fold program[3].

Quality Control of YFOSC Data I. The On-site Quick Analysis System

The Lijiang 2.4 m Telescope(LJT)is one of the most important telescopes for general astronomical observations in China.Yunnan Faint Object Spectrograph and Camera(YFOSC)is a widely used instrument mounted on the LJT,which occupies for~80%of the observing time of the LJT,and thus instrument health and data quality of the YFOSC are very important for both the telescope maintenance team and users of the LJT.So we develop an automated data analysis system for the quality control(QC)of YFOSC data.This system is also a new function of the observing support of the YFOSC.Based on the system,YFOSC data can be reduced quickly as they are acquired and QC parameters are extracted.Observers can assess the quality of their data and make a possible revision of their observing plan in time.These parameters can also be used to check the health of the YFOSC,which is helpful for the telescope maintenance team to find potential problems.All of these aim at improving the productivity of the LJT.

Numerical Simulation of a Two-Phase Flow with Low Permeability anda Start-Up Pressure Gradient

A new numerical model for low-permeability reservoirs is developed.The model incorporates the nonlinear characteristics of oil-water two-phase flows while taking into account the initiation pressure gradient.Related numerical solutions are obtained using a finite difference method.The correctness of the method is demonstrated using a two-dimensional inhomogeneous low permeability example.Then,the differences in the cumulative oil and water production are investigated for different starting water saturations.It is shown that when the initial water saturation grows,the water content of the block continues to rise and the cumulative oil production gradually decreases.

Dynamic evaluation of a scaled-down heat pipe-cooled system during start-up/shut-down processes using a hardware-in-the-loop test approach

Micro-mobile heat pipe-cooled nuclear power plants are promising candidates for distributed energy resource power genera-tors and can be flexibly deployed in remote places to meet increasing electric power demands.However,previous steady-state simulations and experiments have deviated significantly from actual micronuclear system operations.Hence,a transient analysis is required for performance optimization and safety assessment.In this study,a hardware-in-the-loop(HIL)approach was used to investigate the dynamic behavior of scaled-down heat pipe-cooled systems.The real-time features of the HIL architecture were interpreted and validated,and an optimal time step of 500 ms was selected for the thermal transient.The power transient was modeled using point kinetic equations,and a scaled-down thermal prototype was set up to avoid mod-eling unpredictable heat transfer behaviors and feeding temperature samples into the main program running on a desktop PC.A series of dynamic test results showed significant power and temperature oscillations during the transient process,owing to the inconsistency of the rapid nuclear reaction rate and large thermal inertia.The proposed HIL approach is stable and effective for further studying of the dynamic characteristics and control optimization of solid-state small nuclear-powered systems at an early prototyping stage.

The role of quick Sepsis-related Organ Failure Assessment score as simple scoring system to predict Fournier gangrene mortality and the correlation with Fournier’s Gangrene Severity Index: Analysis of 69 patients

Objective:Fournier’s gangrene is a rare but life-threatening infection disease with high mortality rate.The quick Sepsis-related Organ Failure Assessment(qSOFA)is a new and simpler scoring system that may identify patients with suspected infection who are at greater risk for a poor outcome.The purpose of this study was to find out role of qSOFA in determining prognosis of Fournier’s gangrene patients.Methods:This study is a case control with retrospective review of Fournier’s gangrene patients treated at Hasan Sadikin Hospital from January 2013 to December 2017 who met inclusion criteria.Participants were divided into two groups according to qSOFA score as high qSOFA(2-3)and low qSOFA(0-1).Results:From 69 patients,the mortality rate was 24.6%.The sensitivity of qSOFA score to predict mortality was 88.2%;the specificity was 94.2%;positive predictive value was 83.3%;negative predictive value was 96.1%;positive likelihood ratio was 15.2;negative likelihood ratio was 0.12;and the area under the receiver operating characteristic curve of qSOFA was 94.2%.There was significant association between qSOFA scale and mortality with p-value of 0.0001.The qSOFA score has strong positive correlation with Fournier’s Gangrene Severity Index(p<0.0001,r=0.704).Conclusion:qSOFA scoring system has a high prognostic value and can be used to determine prognosis of Fournier’s gangrene patients.

Robot Positioning Based on Multiple Quick Response Code Landmarks

The scheme of robot positioning based on multiple quick response(QR)code landmarks is proposed.Firstly,the pose of the robot relative to the QR code landmarks is obtained by extracting the feature points of the QR code,combined with the visual computing technology.Then,the conversion of the absolute pose of the robot is completed based on the absolute position of the QR code landmark,and thus the real-time position of the robot is obtained.The proposed scheme makes full use of the QR code fault tolerance and multiple QR code landmarks to improve the calculation accuracy.It has good robustness and versatility,and it is easy to implement.It can help the robot to complete the positioning in the actual work,making robot navigation more accurate.

地浸砂岩型铀矿松散岩层单动双管取心钻具的研制与试验

为解决单管钻具取心工艺方法在深部目的层/矿层等松散岩层取心中存在的取心质量差、取心效率低和操作难度大的问题,开展了地浸砂岩型铀矿松散岩层单动双管钻具的研制和试验。通过设计和改进单动机构、断心结构、液力退心机构和快拆机构,研制了两类分别具有可直接液力退心和快速拆卸功能的SD型单动双管钻具。试验结果表明:SD110型双管钻具可在免拆内管的情况下实现地表快速液力退心,提高双管钻具退心效率;SDKC110型钻具可快速拆装更换内管,实现退心和钻进平行作业。与单管钻具相比,SD系列单动双管钻具在松散岩层的平均回次长度提高28.62%,平均机械钻速提高11.61%;与常规单动双管钻具相比,退心操作时间降低了32.69%。SD系列单动双管钻具适用于在松散破碎地层进行取心钻进应用,可有效提高岩心采取效率和岩心质量。

吡虫啉和啶虫脒胶体金免疫层析法试纸条性能评估及应用效果探究

目的研究吡虫啉和啶虫脒胶体金免疫层析法试纸条在不同基质中残留量检测的应用效果。方法实验考察了市场上主要流通的5种不同品牌的胶体金免疫层析法试纸条在蔬菜、水果和茶鲜叶基质中的检出限、灵敏度、交叉反应率、特异性、假阳性和假阴性率。结果各品牌胶体金试纸条在3种不同类型基质(白菜、苹果和茶鲜叶)中,检出限浓度水平有假阴性出现,其余浓度水平灵敏度较好;特异性和交叉反应性,结果均为阴性;假阳性率和假阴性率考察中,假阳性率为0%,但有假阴性情况出现。结论胶体金免疫层析法在检测吡虫啉、啶虫脒农药残留时具有简便快捷的特点,在蔬菜、水果基质的检测中,判定结果较为准确可靠;在茶叶基质中,由于基质效应的影响,出现假阴性的机率较高。

基于食品冻结曲线的小龙虾液氮速冻装备设计与试验

针对液氮速冻产品冻裂率高、液氮损耗量大的问题,基于食品冻结曲线,设计三腔体液氮速冻设备,包括预冷腔(4.2 m,-70℃)、结晶腔(5.8 m,-100℃)和深冷腔(5.0 m,-120℃)。相较于单腔体液氮速冻设备(15.0 m,-100℃),三腔体液氮速冻设备使预包装调理小龙虾的冻结时间缩短10.0%,冻裂率降低40.4%,液氮节约15.0%;质构(硬性、弹性、内聚性、回复性、咀嚼性)和色泽(L*,b*)显著改善,挥发性盐基氮显著降低,水分、盐溶性蛋白和感官(色泽和质地)品质显著提高。研究为液氮速冻技术和装备的改进提供参考和借鉴。

基于自适应深度集成网络的概念漂移收敛方法

概念漂移是流数据挖掘领域中的一个重要且具有挑战性的难题.然而,目前的方法大多仅能够处理线性或简单的非线性映射,深度神经网络虽然有较强的非线性拟合能力,但在流数据挖掘任务中,每次只能在新得到的1个或一批样本上进行训练,学习模型难以实时调整以适应动态变化的数据流.为解决上述问题,将梯度提升算法的纠错思想引入含概念漂移的流数据挖掘任务之中,提出了一种基于自适应深度集成网络的概念漂移收敛方法(concept drift convergence method based on adaptive deep ensemble networks,CD_ADEN).该模型集成多个浅层神经网络作为基学习器,后序基学习器在前序基学习器输出的基础上不断纠错,具有较高的实时泛化性能.此外,由于浅层神经网络有较快的收敛速度,因此所提出的模型能够较快地从概念漂移造成的精度下降中恢复.多个数据集上的实验结果表明,所提出的CD_ADEN方法平均实时精度有明显提高,相较于对比方法,平均实时精度有1%~5%的提升,且平均序值在7种典型的对比算法中排名第一.说明所提出的方法能够对前序输出进行纠错,且学习模型能够快速地从概念漂移造成的精度下降中恢复,提升了在线学习模型的实时泛化性能.

一种基于流形的机械臂动作构型知识压缩表达方法

针对在机械臂分拣任务中,存在物体形状各异、大小不一、训练神经网络成本过高的问题,提出一种基于流形空间的机械臂快速分拣方法。通过自主设计的一款简易实验装置模拟代替机械臂进行实验。对高维数据进行压缩,结合三维快速凸包求解算法,对体积大小不同的同类物体的流形空间进行分割,以凸包形式将稳定性较高的点集包裹起来。实验结果表明,体积大小不同的同类物体的高稳定流形子空间是一致的。该方法可以通过对一种物体的流形子结构进行尺度放缩,得到不同大小的同类物体的高稳定分拣区域,用于生成高效、可靠的机械臂分拣任务中的6D位姿构型,以提高分拣作业的工作效率。

BFD在VRRP故障复原中的应用设计

网络可靠性的一项重要标准在于这个网络是否能够快速检测并复原。由于大部分网络技术自带的检错机制效率很低,无法实现快速检测,而BFD作为一种毫秒级的、能给大量协议提供快速检测服务的机制,因此被广泛应用。本文阐述了BFD的工作原理及结合VRRP网络中可能出现的故障场景,提出了BFD与VRRP联动设计的快速复原解决方案。该方案在ENSP进行模拟演示,最终验证方案的快速有效性。

液压钻机钻杆连接方式研究

为了提高钻杆拆卸速度和改善转矩传递方式,文中根据液压管快速接头的工作原理对ZDY1900型钻机使用的63.5 mm钻杆接头进行改进和优化,研究设计了一种新型的钻杆连接方式。建立三维模型,导入ANSYS有限元软件进行静力学分析,并根据结果对接头结构进行进一步优化。改进后的快速接头改正了螺纹接头只能单向旋转的缺点,能够实现正反转动,并且装卸快速方便,更利于机械装卸和矿用钻机自动化发展。

基于人体工学的手动轮椅助力装置研究

针对我国失能、半失能老人使用非电动轮椅推行费力的现状,综合考虑使用者功能需求、使用环境与可行技术支撑三方面的要素,从动力系统可靠性理论计算、人体工学设计以及智能控制设计等方面开展研究,研发一款新型助力装置。该装置通过基于人体工学的集成优化设计实现了轻量化(≤5 kg)、小型化(390 mm×130 mm×140 mm)结构设计要求;创新地采用基于单手操作的快速挂接结构,实现了面向市面大部分手动轮椅的高适配要求和5 s内快速装卸的易操作要求;基于使用环境的动力学分析与设计实现了室内外行进20 km的续航里程要求;通过手环控制器和摇杆控制器的多元控制方式开发,实现了不同驱动人员对助力装置启停控制和速度控制的简易化操作要求。

中医院校大鼠脑关键核团精准定位及快速取材实验混合式教学设计

大鼠脑关键核团精确定位和快速取材是医学生常用的实验技能,但学习和掌握该技能具有较大的难度和挑战度。对此,团队采用线上线下混合式教学,遵循“以虚补实、虚实结合”的原则,让学生“先看图谱再虚拟,实验实操强记忆”。即在进行理论知识讲解和图谱线下学习之后,让学生自主通过虚拟仿真实验进行在线练习,学生反复训练后进行考核,考核合格再进入真实实验室完成整个实验。采用上述方式进行教学设计和授课,取得了较为满意的效果。

圆筒型FPSO快关阀系统的设计与应用

本文介绍了圆筒型FPSO快关阀系统的架构、相关计算要求和注意事项,并进行了举例计算,可以为其他项目提供参考和借鉴。

改良QuEChERS技术结合超高效液相色谱-串联质谱法测定水产品中扑草净及其代谢物残留

采用改良QuEChERS技术作为前处理方法,建立了水产品中扑草净及其代谢物残留的超高效液相色谱-串联质谱分析方法。样品用乙腈提取,经增强型脂质去除吸附剂与Cleanert LipoNo组合净化,采用选择反应监测正离子模式测定,内标法定量。结果表明:扑草净及其代谢物在1.0~500 ng/mL质量浓度范围内线性关系良好,确定系数R2大于0.992,方法检出限和定量限分别低至0.20μg/kg和0.50μg/kg,在草鱼、克氏原螯虾和中华绒螯蟹等基质的加标实验中呈现良好的准确度与精密度,平均加标回收率和相对标准偏差分别为74.4%~113.7%和3.17%~11.47%。经内标法校正,5种扑草净及其代谢物在不同水产品中的基质效应不明显。方法实现了水产品中扑草净及其代谢物的识别与定量分析,并通过检测药浴扑草净的克氏原螯虾阳性样品验证了方法的适用性。

基于随机森林的电子档案资源快速分类研究

传统的电子档案分类方法存在资源差异化分类系数偏小、分类误差大的问题,为此,设计基于随机森林的电子档案资源快速分类方法。首先设计控制器运算结构和数据接口,然后通过随机森林算法构建电子档案样本决策树,并根据电子档案资源分类特征优化决策树参量,最后设计电子档案资源分类决策输出模型。测试结果表明,相较于传统分类方法,所提方法的分类效果更好,更适用于电子档案资源快速分类工作。