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井工矿采掘工作面粉尘抑制研究

山东化工 2023年第19期52卷 259-261页

作者：薛永升王守利梁田煤炭科学技术研究院有限公司矿用材料分院北京100013 煤炭资源高效开采与洁净利用国家重点实验室北京100013

煤矿粉尘是矿井的五大灾害之一,不仅危害职工的身体健康,而且可能引起煤尘爆炸等安全事故,为矿井带来难以估量的损失。随着煤矿机械化程度提高,粉尘问题益发突出,为进一步加强煤矿作业场所职业危害防治工作,改善作业环境,保护职工的身... 详细信息

煤矿粉尘是矿井的五大灾害之一,不仅危害职工的身体健康,而且可能引起煤尘爆炸等安全事故,为矿井带来难以估量的损失。随着煤矿机械化程度提高,粉尘问题益发突出,为进一步加强煤矿作业场所职业危害防治工作,改善作业环境,保护职工的身体健康,减少粉尘事故隐患,同时为了实现无尘化-低尘化矿井,研发了一种新型粉尘捕捉剂,同时在矿井综合防尘的基础上,采用物理化学抑尘新技术,强化源头喷雾效果,提高清水的降尘特性。该种新型粉尘捕捉剂在陕西榆林某矿20101工作面现场应用,结果表明新型粉尘捕捉剂对综采工作面抑尘具有良好效果。

关键词：化学抑尘剂粉尘捕捉剂防尘降尘粉尘浓度

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关于社会主义新农村建设的实践和思考

潍坊教育学院学报 2006年第1期19卷 9-11页

作者：王寿礼褚兴春中共青州市东坝街道党工委山东青州262500

中国的经济以及综合国力要实现腾飞,首先必须有广大农村的繁荣发展作依托。因此,建设社会主义新农村,意义非同寻常。做为工作在建设社会主义新农村一线的广大乡镇、街道干部,不仅要积极实践,也要在实践中研究、总结,“在研究状态下工作... 详细信息

中国的经济以及综合国力要实现腾飞,首先必须有广大农村的繁荣发展作依托。因此,建设社会主义新农村,意义非同寻常。做为工作在建设社会主义新农村一线的广大乡镇、街道干部,不仅要积极实践,也要在实践中研究、总结,“在研究状态下工作”,从而不断改革、创新。基于青州市东坝街道的具体情况,我们采取规划联动、重点推动、典型带动、发展擎动等措施,取得了初步的成效。本文介绍其具体的做法及从实践申提取的相应的思考课题。

关键词：青州东坝社会主义新农村实践思考研究

老年高血压脑出血患者神经内镜下血肿清除术与小骨窗开颅血肿清除术的临床疗效

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中华老年心脑血管病杂志 2019年第5期21卷 530-533页

作者：叶建忠张宏伟王守利崔凤启首都医科大学良乡教学医院神经外科 100166

目的探讨神经内镜下血肿清除术与小骨窗开颅显微镜下血肿清除术在老年高血压脑出血手术治疗中的临床特点及疗效。方法回顾性分析2014年1月～2017年1月北京市房山区良乡医院神经外科住院的高血压脑出血患者112例,根据手术方式不同分为神... 详细信息

目的探讨神经内镜下血肿清除术与小骨窗开颅显微镜下血肿清除术在老年高血压脑出血手术治疗中的临床特点及疗效。方法回顾性分析2014年1月～2017年1月北京市房山区良乡医院神经外科住院的高血压脑出血患者112例,根据手术方式不同分为神经内镜组50例,小骨窗组62例。分别采用神经内镜血肿清除术和小骨窗开颅显微镜下血肿清除术治疗。比较2组患者手术时间、术中出血量、血肿清除率、术后并发症,并对2组患者入院时和术后3个月日常生活活动能力(ADL)及临床神经功能缺损程度(NDS)评分进行比较。结果神经内镜组总有效率明显高于小骨窗组,差异有统计学意义(90.0%vs 83.9%,P<0.05)。神经内镜组手术时间和术中出血量明显少于小骨窗组,血肿清除率明显高于小骨窗组,差异有统计学意义(P<0.05)。小骨窗组和神经内镜组术后3个月ADL评分明显高于入院时,NDS评分明显低于入院时,差异有统计学意义(P<0.05)。神经内镜组术后3个月ADL评分明显高于小骨窗组,NDS评分明显低于小骨窗组,差异有统计学意义(P<0.05)。小骨窗组并发症发生率明显高于神经内镜组,差异有统计学意义(24.2%vs 20.0%,P<0.05)。结论在治疗老年高血压脑出血手术中,神经内镜下血肿清除术明显优于小骨窗开颅显微镜下血肿清除术,缩短手术时间,降低术中出血量,值得临床进一步推广。

关键词：高血压脑出血血肿神经内窥镜检查穿刺术颅骨切开术手术期间

The reformation of catalyst:From a trial-and-error synthesis to rational design

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Nano Research 2024年第4期17卷 3261-3301页

作者： Ligang wang Jiabin Wu Shunwu wang Huan Liu Yao wang Dingsheng wang Department of Chemistry Tsinghua UniversityBeijing 100084China

The appropriate catalysts can accelerate the reaction rate and effectively boost the efficient conversion of various molecules,which is of great importance in the study of chemistry,chemical industry,energy,materials and environmental ***,efficient,environmentally friendly,and easy to operate synthesis methods have been used to prepare various types of *** previous studies have reported the synthesis and characterization of the aforementioned catalysts,more still remain in trial and error methods,without in-depth consideration and improvement of traditional synthesis ***,we comprehensively summarize and compare the preparation methods of the trial-and-error synthesis strategy,structure–activity relationships and density functional theory(DFT)guided catalysts rational design for nanomaterials and atomically dispersed *** also discuss in detail the utilization of the nanomaterials and single atom catalysts for converting small molecules(H_(2)O,O_(2),CO_(2),N_(2),etc.)into value-added products driven by electrocatalysis,photocatalysis,and ***,the challenges and outlooks of mass preparation and production of efficient and green catalysts through conventional trial and error synthesis and DFT theory are featured in accordance with its current development.

关键词： trial-and-error synthesis structure–activity relationships density functional theory(DFT)guidance nanomaterials atomically dispersed catalysts

Numerical Analysis of PRISM-PY Calculations for Hard-and Soft-Core Generic Polymer Models

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Chinese Journal of Polymer Science 2024年第4期42卷 532-543页

作者： Qiang wang Department of Chemical and Biological Engineering Colorado State University1370 Campus DeliveryFort CollinsCO80523-1370USA

Generic polymer models capturing the chain connectivity and excluded-volume interactions between polymer segments can be classified, according to whether or not the 3D integral of the latter diverges, into hard- and soft-core models. Taking homogeneous systems of compressible homopolymer melts (or equivalently homopolymer solutions in an implicit, good solvent) in the continuum as an example, we recently compared the correlation effects on the structural and thermodynamic properties of the hard- and soft-core models given by the polymer reference interaction site model (PRISM) theory with the Percus-Yevick (PY) closure (Polymers 2023, 15, 1180). Here we analyzed in detail the numerical errors and behavior of the interchain pair correlation functions (PCFs) given by the PRISM-PY calculations of these models using an efficient numerical approach that we proposed. Our numerical approach has the least number of independent variables to be iteratively solved, analytically treats the discontinuities caused by the non-bonded pair potential (such as that of the hard spheres) and takes only the inverse Fourier transform of the interchain indirect PCF between polymer segments (which is continuous and decays towards 0 with increasing wavenumber much faster than both the interchain direct and total PCFs), and is essential for us to accurately solve the PRISM-PY theory for chain length N as large as 106. To capture the correlation-hole effect, the real-space cut-off in the PRISM calculations should be proportional to the square root of N.

关键词： Generic polymer models Soft potentials Polymer reference interaction site model theory

Linear-Quadratic Pareto Cooperative Game for Mean-Field Backward Stochastic System

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Journal of Systems Science & Complexity 2024年第3期37卷 947-964页

作者： wang Yu School of Control Science and Engineering Shandong UniversityJinan 250061China

This paper focuses on a Pareto cooperative differential game with a linear mean-field backward stochastic system and a quadratic form cost functional. Based on a weighted sum optimality method, the Pareto game is equivalently converted to an optimal control problem. In the first place,the feedback form of Pareto optimal strategy is derived by virtue of decoupling technology, which is represented by four Riccati equations, a mean-field forward stochastic differential equation(MF-FSDE),and a mean-field backward stochastic differential equation(MF-BSDE). In addition, the corresponding Pareto optimal solution is further obtained. Finally, the author solves a problem in mathematical finance to illustrate the application of the theoretical results.

关键词： Backward stochastic differential equation linear-quadratic control mean-field Pareto optimality

A multi-source information fusion layer counting method for penetration fuze based on TCN-LSTM

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Defence Technology（防务技术） 2024年第3期33卷 463-474页

作者： Yili wang Changsheng Li Xiaofeng wang Nanjing University of Science and Technology Nanjing 210094JiangsuChina State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China

When employing penetration ammunition to strike multi-story buildings,the detection methods using acceleration sensors suffer from signal aliasing,while magnetic detection methods are susceptible to interference from ferromagnetic materials,thereby posing challenges in accurately determining the number of *** address this issue,this research proposes a layer counting method for penetration fuze that incorporates multi-source information fusion,utilizing both the temporal convolutional network(TCN)and the long short-term memory(LSTM)recurrent *** leveraging the strengths of these two network structures,the method extracts temporal and high-dimensional features from the multi-source physical field during the penetration process,establishing a relationship between the multi-source physical field and the distance between the fuze and the target plate.A simulation model is developed to simulate the overload and magnetic field of a projectile penetrating multiple layers of target plates,capturing the multi-source physical field signals and their patterns during the penetration *** analysis reveals that the proposed multi-source fusion layer counting method reduces errors by 60% and 50% compared to single overload layer counting and single magnetic anomaly signal layer counting,*** model's predictive performance is evaluated under various operating conditions,including different ratios of added noise to random sample positions,penetration speeds,and spacing between target *** maximum errors in fuze penetration time predicted by the three modes are 0.08 ms,0.12 ms,and 0.16 ms,respectively,confirming the robustness of the proposed ***,the model's predictions indicate that the fitting degree for large interlayer spacings is superior to that for small interlayer spacings due to the influence of stress waves.

关键词： Penetration fuze Temporal convolutional network(TCN) Long short-term memory(LSTM) Layer counting Multi-source fusion

FlowGANAnomaly: Flow-Based Anomaly Network Intrusion Detection with Adversarial Learning

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Chinese Journal of Electronics 2024年第1期33卷 58-71页

作者： Zeyi LI Pan wang Zixuan wang School of Computer Science Nanjing University of Posts and Telecommunications School of Modern Posts Nanjing University of Posts and Telecommunications School of Internet of Things Nanjing University of Posts and Telecommunications

In recent years, low recall rates and high dependencies on data labelling have become the biggest obstacle to developing deep anomaly detection(DAD) techniques. Inspired by the success of generative adversarial networks(GANs) in detecting anomalies in computer vision and imaging, we propose an anomaly detection model called Flow GANAnomaly for detecting anomalous traffic in network intrusion detection systems(NIDS). Unlike traditional GAN-based approaches, which are composed of a flow encoder, a convolutional encoder-decoder-encoder, a flow decoder and a convolutional encoder, the architecture of this model consists of a generator(G) and a discriminator(D).Flow GANAnomaly maps the different types of traffic feature data from separate datasets to a uniform feature space,thus can capture the normality of network traffic data more accurately in an adversarial manner to mitigate the problem of the high dependence on data labeling. Moreover, instead of simply detecting the anomalies by the output of D, we proposed a new anomaly scoring method that integrates the deviation between the output of two Gs’ convolutional encoders with the output of D as weighted scores to improve the low recall rate of anomaly detection. We conducted several experiments comparing existing machine learning algorithms and existing deep learning methods(Auto Encoder and VAE) on four public datasets(NSL-KDD, CIC-IDS2017, CIC-DDo S2019, and UNSW-NB15). The evaluation results show that Flow GANAnomaly can significantly improve the performance of anomaly-based NIDS.

关键词： Deep learning Machine learning algorithms Computational modeling Network intrusion detection Imaging Telecommunication traffic Generative adversarial networks

Framework for Preventive Control of Power Systems to Defend Against Extreme Events

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 856-870页

作者： Yuwei Xiang Tong wang Zengping wang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China

Enhancing power system resilience against extreme events is becoming increasingly critical. This paper discusses a unified framework for preventive control of power systems to enhance system resilience, which includes three parts: resilience assessment, resilience grading, and resilience enhancement. First, the resilience assessment contains facility-level and system-level resilience assessment. The concept of fragility curve is used in the facility-level resilience assessment. Various resilience indices are developed in system-level resilience assessment to roundly depict the impacts of extreme events on power systems and determine the system resilience. On this basis, the resilience is divided into different levels by resilience grading strategy, which can efficiently quantify the severity of the impact of extreme events and provide decision-making for the resilience enhancement strategies. Then, control strategies for enhancing power system resilience are also divided according to different resilience levels. A controlled islanding based preventive control is proposed to enhance system resilience, which aims to strengthen the first defensive line of power systems to deal with extreme events. Finally, taking the typhoon disaster in extreme events as an example, two tests carried out with two typhoons demonstrate the efficiency of the proposed method.

关键词： Controlled islanding extreme events power system resilience preventive control