Depositional process of hyperpycnal flow deposits:A case study on Lower Cretaceous Sangyuan outcrop in the Luanping Basin,Northeast China

Sedimentary process research is of great significance for understanding the distribution and characteristics of sediments.Through the detailed observation and measurement of the Sangyuan outcrop in Luanping Basin,this paper studies the depositional process of the hyperpycnal flow deposits,and divides their depositional process into three phases,namely,acceleration,erosion and deceleration.In the acceleration phase,hyperpycnal flow begins to enter the basin nearby,and then speeds up gradually.Deposits developed in the acceleration phase are reverse.In addition,the original deposits become unstable and are taken away by hyperpycnal flows under the eroding force.As a result,there are a lot of mixture of red mud pebbles outside the basin and gray mud pebbles within the basin.In the erosion phase,the reverse deposits are eroded and become thinner or even disappear.Therefore,no reverse grading characteristic is found in the proximal major channel that is closer to the source,but it is still preserved in the middle branch channel that is far from the source.After entering the deceleration phase,normally grading deposits appear and cover previous deposits.The final deposits in the basin are special.Some are reverse,and others are normal.They are superimposed with each other under the action of hyperpycnal flow.The analysis of the Sangyuan outcrop demonstrates the sedimentary process and distribution of hyperpycnites,and reasonably explain the sedimentary characteristics of hyperpycnites.It is helpful to the prediction of oil and gas exploration targets in gravity flow deposits.

基于ANP的新型研发机构绩效评价——以广西为例

新型研发机构是支撑区域创新发展和打通科技成果转化“最后一公里”的新型载体。广西新型研发机构绩效评价指标体系得以构建,并采用网络层次分析法(ANP)分析2021年度广西46家新型研发机构在基础条件、人才资源、科研能力、产业化能力等方面的现状与问题,基于此,提出相关的对策建议,为加快推动广西新型研发机构高质量发展提供依据。

基于DEMATEL-ANP的植物景观规划质量评价--以安徽徽园为例

园林植物景观设计是园林景观设计的重要组成部分。为了优化园林植物景观空间的宏观规划与设计,增强园林植物的空间感受与游览体验,本研究在案例分析与文献研究的基础上归纳了园林植物景观空间规划设计的方法,并基于决策实验室分析法构建了植物景观空间规划设计的评价模型。实验结果表明,本研究设计的决策模型对评价因子之间的影响关系分析较为准确,平均精度与平均绝对误差指标分别为0.90、0.17,优于其他决策分析模型。园林植物景观规划设计中,功能需求的中心度最高为3.21,与其他评价维度均存在密切关系;功能需求同植物布局与搭配因子对其他因素的影响较大。本研究为植物景观空间规划提供了宏观设计方法的参考,有助于提升园林景观的空间观赏效果。

基于ANP-可拓云模型的网络型航空公司综合竞争力评价

构建网络型航空公司综合竞争力评价指标体系并实施客观评价,是国内网络型航空公司明确自身定位、快速提升综合竞争力的重要手段。从创新发展能力、运营管理能力和品牌塑造能力3个维度入手建立综合竞争力评价体系,并采用网络分析法(ANP,analytic network process)-可拓云模型对全球20家典型网络型航空公司进行综合评价,得到各航空公司在全球航空运输市场上的相应地位以及各方面的优势与短板,以期为国内网络型航空公司实现高质量发展、进一步提升综合竞争力提供理论和实践参考。研究表明:中国三大网络型航空公司的创新发展能力和运营管理能力尚有不足,建议以枢纽网络和效率提升为重要抓手,着力提升优化。

基于CV法和D-ANP法的国际物流供应链韧性风险评价及其应用

随着世界局势的复杂多变,提高国际物流供应链韧性风险应对能力、增强国际物流供应链韧性,是各行各业开展国际经营的必然策略。基于以上背景,首先,本文按照科学性、综合性和可比性的原则,构建国际物流供应链韧性风险指标体系;其次,利用CV法和D—ANP法确定指标权重,且使用组合赋权法得出最终综合权重;最后,选取安徽省汽车行业作为国际物流供应链韧性风险评价体系的应用对象,使用专家打分法获取国际物流供应链韧性三级指标风险评分,并结合综合权重得出国际物流供应链韧性风险等级,进而从企业和政府两方面提出加速企业数字化转型、构建风险预警体系、完善金融政策支持体系等应对策略,以提高应对国际供应链风险的能力,更好地护航国际物流供应链高质量发展。

基于ANP与物元可拓模型的冻土区高速公路施工安全风险评价研究

冻土区高速公路施工难度大,施工过程受多种风险因素以及风险因素之间的联动效应影响,客观全面的施工安全风险评价需构建特定情境的风险评价指标体系,并考虑指标之间的相互作用,得出量化的风险数值。因此,研究提出网络分析法(ANP)与物元可拓模型相结合的风险评价模型。首先,构建总目标、4个一级指标和12个二级指标的三级冻土区高速公路施工安全风险评价指标体系;其次,建立指标相互关联的ANP网络结构模型,计算各级指标的综合权重;最后,根据物元可拓模型得出多级可拓评价结果。案例分析显示,该冻土区高速公路施工安全风险等级为3级(安全风险较大),与实际施工情况相符,进一步针对性地提出了加强施工安全的建议措施。

基于Arduino与Processing的心率检测计设计研究

随着社会经济的高速发展,人们的物质生活也有了极大的提高,但同时也伴随着各种疾病的到来,身体健康已经成为人们普遍关注的焦点,因此,心率检测仪、血压计、血糖仪等各种家用医疗监测仪器已经逐渐融入日常生活。心脏病是人们难以预防的突发致命疾病之一,本文介绍的是一款基于Arduino【是基于易用硬件和软件的原型开源平台,包由可编程的电路板(简称微控制器),以及集成开发环境(称为Arduino IDE)的现成软件组成】Processing(开源编程语言,包括编辑器、编译器、展示器)的简易心率检测计系统,其功能实用、操作简单,可以测量心率,当超出正常心率范围时及时预警,是一款便携的实时心率测试仪。

A new insight into LPSO phase transformation and mechanical properties uniformity of large-scale Mg-Gd-Y-Zn-Zr alloy prepared by multi-pass friction stir processing

A large-scale fine-grained Mg-Gd-Y-Zn-Zr alloy plate with high strength and ductility was successfully prepared by multi-pass friction stir processing(MFSP)technology in this work.The structure of grains and long period stacking ordered(LPSO)phase were characterized,and the mechanical properties uniformity was investigated.Moreover,a quantitative relationship between the microstructure and tensile yield strength was established.The results showed that the grains in the processed zone(PZ)and interfacial zone(IZ)were refined from 50μm to 3μm and 4μm,respectively,and numerous original LPSO phases were broken.In IZ,some block-shaped 18R LPSO phases were transformed into needle-like 14H LPSO phases due to stacking faults and the short-range diffusion of solute atoms.The severe shear deformation in the form of kinetic energy caused profuse stacking fault to be generated and move rapidly,greatly increasing the transformation rate of LPSO phase.After MFSP,the ultimate tensile strength,yield strength and elongation to failure of the large-scale plate were 367 MPa,305 MPa and 18.0% respectively.Grain refinement and LPSO phase strengthening were the major strengthening mechanisms for the MFSP sample.In particularly,the strength of IZ was comparable to that of PZ because the strength contribution of the 14H LPSO phase offsets the lack of grain refinement strengthening in IZ.This result opposes the widely accepted notion that IZ is a weak region in MFSP-prepared large-scale fine-grained plate.

Recent developments in selective laser processes for wearable devices

Recently,the increasing interest in wearable technology for personal healthcare and smart virtual/augmented reality applications has led to the development of facile fabrication methods.Lasers have long been used to develop original solutions to such challenging technological problems due to their remote,sterile,rapid,and site-selective processing of materials.In this review,recent developments in relevant laser processes are summarized under two separate categories.First,transformative approaches,such as for laser-induced graphene,are introduced.In addition to design optimization and the alteration of a native substrate,the latest advances under a transformative approach now enable more complex material compositions and multilayer device configurations through the simultaneous transformation of heterogeneous precursors,or the sequential addition of functional layers coupled with other electronic elements.In addition,the more conventional laser techniques,such as ablation,sintering,and synthesis,can still be used to enhance the functionality of an entire system through the expansion of applicable materials and the adoption of new mechanisms.Later,various wearable device components developed through the corresponding laser processes are discussed,with an emphasis on chemical/physical sensors and energy devices.In addition,special attention is given to applications that use multiple laser sources or processes,which lay the foundation for the all-laser fabrication of wearable devices.

基于变异系数-ANP的信息化项目管理人员评价研究——以某省烟草商业企业为例

【目的】从某省烟草商业企业信息化项目管理的视角出发,分析了项目管理人员评价研究现状及现存问题,并从品质、能力、业绩三方面构建了信息化项目管理人员评价指标体系。【方法】采用变异系数-ANP综合评价法搭建信息化项目管理人员评价模型,通过ANP与变异系数法构建主客观相结合的组合指标权重,并利用PROMETHEE方法对项目管理人员进行排序,实现对项目管理人员的综合评价。【结论】实证应用表明,该方法适用于烟草行业企业信息化项目管理人员综合评价,与当前评价机制相比实效性强、准确度高,结果符合实际,具有较好的应用前景。

Effect of bubble morphology and behavior on power consumption in non-Newtonian fluids’aeration process

Due to a prolonged operation time and low mass transfer efficiency, the primary challenge in the aeration process of non-Newtonian fluids is the high energy consumption, which is closely related to the form and rate of impeller, ventilation, rheological properties and bubble morphology in the reactor. In this perspective, through optimal computational fluid dynamics models and experiments, the relationship between power consumption, volumetric mass transfer rate(kLa) and initial bubble size(d0) was constructed to establish an efficient operation mode for the aeration process of non-Newtonian fluids. It was found that reducing the d0could significantly increase the oxygen mass transfer rate, resulting in an obvious decrease in the ventilation volume and impeller speed. When d0was regulated within 2-5 mm,an optimal kLa could be achieved, and 21% of power consumption could be saved, compared to the case of bubbles with a diameter of 10 mm.

Cascading multi-segment rupture process of the 2023 Turkish earthquake doublet on a complex fault system revealed by teleseismic P wave back projection method

In this study,the vertical components of broadband teleseismic P wave data recorded by China Earthquake Network are used to image the rupture processes of the February 6th,2023 Turkish earthquake doublet via back projection analysis.Data in two frequency bands(0.5-2 Hz and 1-3 Hz)are used in the imaging processes.The results show that the rupture of the first event extends about 200 km to the northeast and about 150 km to the southwest,lasting~90 s in total.The southwestern rupture is triggered by the northeastern rupture,demonstrating a sequential bidirectional unilateral rupture pattern.The rupture of the second event extends approximately 80 km in both northeast and west directions,lasting~35 s in total and demonstrates a typical bilateral rupture feature.The cascading ruptures on both sides also reflect the occurrence of selective rupture behaviors on bifurcated faults.In addition,we observe super-shear ruptures on certain fault sections with relatively straight fault structures and sparse aftershocks.

基于ANP-DEA的反无人机蜂群装备投产效率评估

为拓展新型装备发展论证方法,借鉴经济领域投入—产出效率概念,提出装备投产效率,综合考量装备建设资源投入及作战能力。采用ANP-DEA方法,建立基于网络联系的反无人机蜂群作战能力指标评估体系;根据体系特点新增毁伤评估能力等指标,通过网络层次分析法(Analytic Network Process,ANP)计算各级指标权重;通过超效率数据包络分析(Data Envelopment Analysis,DEA)模型对8类装备投产效率进行排序分析,一定程度上解决了当前反无人机蜂群装备能力评估内容不全面、指标联系不紧密等问题,为新型装备发展规划提供参考。

Role of feline ANP32 proteins in regulating polymerase activity of influenza A virus

Recently,increasing natural infection cases and experimental animal challenge studies demonstrated domestic cats are susceptible to multiple subtypes influenza A virus(IAV)infections.Notably,some subtype IAV strains could circulate in domestic cats after cross-species transmission and even infected humans,posing a threat to public health.Host factors related to viral polymerase activity could determine host range of IAV and acidic nuclear phosphoprotein 32(ANP32)is the most important one among them.However,role of cat-derived ANP32 on viral polymerase activity and host range of IAV is still unknown.In the present study,a total of 10 feline ANP32(feANP32)splice variants(including 5 feANP32A,3 feANP32B,and 2 feANP32E)were obtained from domestic cats by RT-PCR.Sequence alignment results demonstrated amino acid deletions and/or insertions occurred among feANP32 variants,but all feANP32 proteins were primarily localized to cell nucleus.Minigenome replication systems for several representative IAV strains were established and the support ability of feANP32 on IAV polymerase activity was estimated.The results indicated that most feANP32A and feANP32B splice variants were able to support all the tested IAV strains,though the support activity of a single feANP32 protein on polymerase activity varied among different IAV strains.In addition,the role of feANP32 in supporting H3N2 canine influenza virus was determined by investigating viral replication in vitro.Collectively,our study systematically investigated the support activity of feANP32 on IAV,providing a clue for further exploring the mechanism of susceptibility of cats to IAV.

基于ANP法对建筑工程合同实施阶段造价影响因素评价研究

建筑工程合同实施阶段是项目造价控制的核心阶段,也是整个工程建设期间费用支出最多的阶段。在查阅大量文献的基础上,结合实际案例,建立了建筑工程合同实施阶段造价影响因素评价指标体系,运用网络层次分析法(ANP)和运用Delphi法计算出一级指标和二级指标的权重,从而得到建筑工程合同实施阶段造价影响因素对造价的不同影响程度,分析出其主要影响因素为材料单价、国家政策、工程变更及索赔、设备单价、成本控制方法、经济环境、人工单价以及施工人员工作效率,这九项因素也主要集中在人为因素、材料设备因素、技术因素以及国家政策与经济环境因素中。本文的研究为能为后续的相关研究提出一定的帮助与支持。

Reinforcement Learning in Process Industries:Review and Perspective

This survey paper provides a review and perspective on intermediate and advanced reinforcement learning(RL)techniques in process industries. It offers a holistic approach by covering all levels of the process control hierarchy. The survey paper presents a comprehensive overview of RL algorithms,including fundamental concepts like Markov decision processes and different approaches to RL, such as value-based, policy-based, and actor-critic methods, while also discussing the relationship between classical control and RL. It further reviews the wide-ranging applications of RL in process industries, such as soft sensors, low-level control, high-level control, distributed process control, fault detection and fault tolerant control, optimization,planning, scheduling, and supply chain. The survey paper discusses the limitations and advantages, trends and new applications, and opportunities and future prospects for RL in process industries. Moreover, it highlights the need for a holistic approach in complex systems due to the growing importance of digitalization in the process industries.

基于ANP-FCE的矿井风险防控系统研发

为加强煤矿安全风险防控能力,采用ANP-FCE相结合的方法构建矿井风险防控系统。首先,基于事故致因理论对矿井生产体系进行调研,并建立矿井风险防控指标体系;其次,运用ANP分析主要影响因素,并采用FCE建立矿井风险防控评价模型;最后,利用Java平台,依托JSP+SSM框架与MySQL数据库联合开发矿井风险防控系统,并在某煤矿试运行。结果表明:该系统可以确定矿井安全生产工作的重点,实现矿井生产数据实时显示,并具有重点作业监控和预警功能。系统的开发有利于企业各级领导及时掌握各种数据信息,提高企业自身的风险防控和预警能力,为煤矿企业的运营和发展提供安全保障。

Process design and intensification of multicomponent azeotropes special distillation separation via molecular simulation and system optimization

This work provides an overview of distillation processes,including process design for different distillation processes,selection of entrainers for special distillation processes,system integration and intensification of distillation processes,optimization of process parameters for distillation processes and recent research progress in dynamic control strategies.Firstly,the feasibility of using thermodynamic topological theories such as residual curve,phase equilibrium line and distillation boundary line to analyze different separation regions is discussed,and the rationality of distillation process design is discussed by using its feasibility.Secondly,the application of molecular simulation methods such as molecular dynamics simulation and quantum chemical calculation in the screening of entrainer is discussed for the extractive distillation process.The thermal coupling mechanism of different distillation processes is used to explore the process of different process intensifications.Next,a mixed integer nonlinear optimization strategy for the distillation process based on different algorithms is introduced.Finally,the improvement of dynamic control strategies for different distillation processes in recent years is summarized.This work focuses on the application of process intensification and system optimization in the design of distillation process,and analyzes the challenges,prospects,and development trends of distillation technology in the separation of multicomponent azeotropes.

NADARAYA-WATSON ESTIMATORS FOR REFLECTED STOCHASTIC PROCESSES

We study the Nadaraya-Watson estimators for the drift function of two-sided reflected stochastic differential equations.The estimates,based on either the continuously observed process or the discretely observed process,are considered.Under certain conditions,we prove the strong consistency and the asymptotic normality of the two estimators.Our method is also suitable for one-sided reflected stochastic differential equations.Simulation results demonstrate that the performance of our estimator is superior to that of the estimator proposed by Cholaquidis et al.(Stat Sin,2021,31:29-51).Several real data sets of the currency exchange rate are used to illustrate our proposed methodology.

Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks

Oscillation detection has been a hot research topic in industries due to the high incidence of oscillation loops and their negative impact on plant profitability.Although numerous automatic detection techniques have been proposed,most of them can only address part of the practical difficulties.An oscillation is heuristically defined as a visually apparent periodic variation.However,manual visual inspection is labor-intensive and prone to missed detection.Convolutional neural networks(CNNs),inspired by animal visual systems,have been raised with powerful feature extraction capabilities.In this work,an exploration of the typical CNN models for visual oscillation detection is performed.Specifically,we tested MobileNet-V1,ShuffleNet-V2,Efficient Net-B0,and GhostNet models,and found that such a visual framework is well-suited for oscillation detection.The feasibility and validity of this framework are verified utilizing extensive numerical and industrial cases.Compared with state-of-theart oscillation detectors,the suggested framework is more straightforward and more robust to noise and mean-nonstationarity.In addition,this framework generalizes well and is capable of handling features that are not present in the training data,such as multiple oscillations and outliers.