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软件 2020年第11期41卷 50-52,58页

作者：王泽霖杨君莹张鹏晓于静石晶牡丹江医学院护理学院黑龙江牡丹江157011 牡丹江医学院附属红旗医院眼科黑龙江牡丹江157011

视网膜脱落行玻璃体切割联合眼内填充术后患者承受多方面压力且眼部手术复杂,恢复较慢,护理效果受患者本身多方面因素影响,应用SPSSAU统计学软件开展护理效果影响因素分析,有助于玻璃体切割联合眼内填充术后的护理细节提高。

关键词： SPSSAU 玻璃体切割联合眼内填充术护理

Online machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies

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Frontiers of Environmental Science & Engineering 2023年第12期17卷 137-147页

作者： pengxiao Zhou Zhong Li Yimei zhang Spencer Snowling Jacob Barclay Department of Civil Engineering McMaster UniversityHamiltonOntario L8S 4L8Canada MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China Laboratory of Environmental Remediation and Functional Material Suzhou Research Academy of North China Electric Power UniversitySuzhou 215213China Hatch Ltd. Sheridan Science&Technology ParkMississaugaOntario L5K 2R7Canada

Accurate influent flow rate prediction is important for operators and managers at wastewater treatment plants(WWTPs),as it is closely related to wastewater characteristics such as biochemical oxygen demand(BOD),total suspend solids(TSS),and *** studies have been conducted to predict influent flow rate,and it was proved that data-driven models are effective ***,most of these studies have focused on batch learning,which is inadequate for wastewater prediction in the era of COVID-19 as the influent pattern changed *** learning,which has distinct advantages of dealing with stream data,large data set,and changing data pattern,has a potential to address this *** this study,the performance of conventional batch learning models Random Forest(RF),K-Nearest Neighbors(KNN),and Multi-Layer Perceptron(MLP),and their respective online learning models Adaptive Random Forest(aRF),Adaptive K-Nearest Neighbors(aKNN),and Adaptive Multi-Layer Perceptron(aMLP),were compared for predicting influent flow rate at two Canadian *** learning models achieved the highest R2,the lowest MAPE,and the lowest RMSE compared to conventional batch learning models in all *** R2 values on testing data set for 24-h ahead prediction of the aRF,aKNN,and aMLP at Plant A were 0.90,0.73,and 0.87,respectively;these values at Plant B were 0.75,0.78,and 0.56,*** proposed online learning models are effective in making reliable predictions under changing data patterns,and they are efficient in dealing with continuous and large influent data *** can be used to provide robust decision support for wastewater treatment and management in the changing era of COVID-19 and also under other unprecedented emergencies that could change influent patterns.

关键词： Wastewater prediction Data stream Online learning Batch learning Influent flow rates

Constructing highly dispersed 0D Co3S4 quantum dots/2D g-C3N4 nanosheets nanocomposites for excellent photocatalytic performance

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Science Bulletin 2019年第20期64卷 1510-1517页

作者： Hongcen Yang Jiangmei Yin Ruya Cao pengxiao Sun Shouwei zhang Xijin Xu School of Physics and Technology University of Jinan

The development of noble-metal-free catalysts with high efficiency photocatalytic properties is critical to the heterogeneous catalysis. Herein, zero-dimensional(0 D) metal sulfide quantum dots/two-dimensional(2 D) g-C3N4 nanosheets(Co3S4/CNNS) nanocomposites are synthesized by a two-step method, including the ways of in-situ deposition and water bath. The highly dispersed Co3S4 quantum dots(particle size is2–4 nm) are evenly and tightly fixed on CNNS, which can be used as co-catalyst to effectively replace noble metals to improve the photocatalytic properties of CNNS. Co3S4/CNNS-900 has the apparent quantum efficiency, which is up to 7.85% at 400 nm. At the same time, the H2 evolution rate of Co3S4/CNNS-900 is 20,536.4 lmol gà1 hà1, which is 555 times than CNNS. The excellent photocatalytic performance is due to the highly dispersed Co3S4 quantum dots on 2 D CNNS, which facilitate the formation of more active sites, Co3S4/CNNS promotes the separation and migration of photogenerated carriers, shortens the migration distance of photogenerated carriers, and eventually leads to an increase of the photocatalytic performance.

关键词： Co3S4 g-C3N4 Photocatalysis

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陆军装备维修保障检测设备建设需求与策略

装甲兵学报 2022年第6期1卷 62-66页

作者：施岳军董今朝张鹏霄陈鹏李庆航陆军装备部北京100072

基于两级维修体制下维修任务分工,明确了陆军装备维修检测设备的概念及其分类;围绕技术设计、功能指标和质量特性等需求问题,提出了陆军维修检测设备发展的基本要求;从陆军装备全系统全寿命管理和体系建设的角度出发,论述了陆军装备维... 详细信息

基于两级维修体制下维修任务分工,明确了陆军装备维修检测设备的概念及其分类;围绕技术设计、功能指标和质量特性等需求问题,提出了陆军维修检测设备发展的基本要求;从陆军装备全系统全寿命管理和体系建设的角度出发,论述了陆军装备维修保障检测设备体系化、通用化、智能化、标准化的建设策略,以适应平战一体的维修任务需要。

关键词：陆军装备维修保障检测设备需求策略

华北地区某生活垃圾填埋场对地下水水质影响评价

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天津建设科技 2024年第2期34卷 70-74页

作者：刘浩张建根徐鹏逍天津市政工程设计研究总院有限公司天津300051

针对简易生活垃圾填埋场内垃圾渗滤液在降水或地下水渗流运动作用下扩散,对地下水造成污染的问题,对华北地区某生活垃圾填埋场地块进行调查,在资料搜集、知情人员访谈、水文地质调查的基础上,识别出潜在污染物特征指标,科学合理地布置... 详细信息

针对简易生活垃圾填埋场内垃圾渗滤液在降水或地下水渗流运动作用下扩散,对地下水造成污染的问题,对华北地区某生活垃圾填埋场地块进行调查,在资料搜集、知情人员访谈、水文地质调查的基础上,识别出潜在污染物特征指标,科学合理地布置地下水采样点采集地下水水样;采用单因子污染指数法,以GB/T 14848—2017《地下水环境质量标准》中Ⅳ类标准指标为评价标准,通过对地下水上游对照点、垂直地下水流向的扩散点、下游扩散点水样试验结果的比较分析,查明了填埋场地块内污染物分布及扩散范围。

关键词：垃圾填埋场地下水渗滤液污染物水质

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花生荚果固定床网袋堆垛通风干燥实验研究

中国粮油学报 2024年第1期39卷 167-173页

作者：陈鹏枭郭相毅王殿轩渠琛玲陈亮李玉张伟康朱文学河南工业大学粮食和物资储备学院郑州450001 河南工业大学生物工程学院郑州450001

为了解花生荚果固定床网袋堆垛通风的干燥特性、设备能耗情况以及荚果干后品质,使用固定床网袋堆垛通风(常温风)、固定床网袋自然堆垛、自然晾晒3种干燥方式对新鲜湿花生荚果进行干燥,探究了堆垛内不同位置花生荚果的干燥情况、温湿度... 详细信息

为了解花生荚果固定床网袋堆垛通风的干燥特性、设备能耗情况以及荚果干后品质,使用固定床网袋堆垛通风(常温风)、固定床网袋自然堆垛、自然晾晒3种干燥方式对新鲜湿花生荚果进行干燥,探究了堆垛内不同位置花生荚果的干燥情况、温湿度变化、能耗情况,并对比分析了不同干燥方式下花生荚果的干后品质。结果表明,使用固定床网袋堆垛通风(常温风)干燥设备干燥花生荚果,花生荚果水质量分数由37.85%降至10.00%以下需要160 h;固定床网袋堆垛通风(常温风)干燥方法干后花生荚果的粗脂肪含量最高,为48.08%,色泽最优,同时除去花生荚果中单位质量水分需要消耗能量4.28×10^(6)J,远小于传统烘干;固定床网袋堆垛通风(常温风)较固定床网袋自然堆垛和自然晾晒有明显优势,干燥速率更快,干后品质更稳定。

关键词：花生荚果通风干燥温湿度色泽能耗

Design, Implementation and Control of an Amphibious Spherical Robot

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Journal of Bionic Engineering 2022年第6期19卷 1736-1757页

作者： Liwei Shi Zhongyin zhang Zhengyu Li Shuxiang Guo Shaowu Pan pengxiao Bao Lijie Duan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information TechnologySchool of Life ScienceBeijing Institute of TechnologyBeijing100081China Faculty of Engineering Kagawa University2217-20 HayashichoTakamatsuKagawa761-0396Japan

We proposed and implemented a leg-vector water-jet actuated spherical robot and an underwater adaptive motion control system so that the proposed robot could perform exploration tasks in complex *** aim was to improve the kinematic performance of spherical *** developed mechanical and dynamic models so that we could analyze the motions of the robot on land and in *** robot was equipped with an Inertial Measurement Unit(IMU)that provided inclination and motion *** designed three types of walking gait for the robot,with different stabilities and ***,we proposed an online adjustment mechanism to adjust the gaits so that the robot could climb up slopes in a stable *** the system function changed continuously as the robot moved underwater,we implemented an online motion recognition system with a forgetting factor least squares *** proposed a generalized prediction control algorithm to achieve robust underwater motion *** ensure real-time performance and reduce power consumption,the robot motion control system was implemented on a Zynq-7000 System-on-Chip(SoC).Our experimental results show that the robot’s motion remains stable at different speeds in a variety of amphibious environments,which meets the requirements for applications in a range of terrains.

关键词： Bionic amphibious spherical robot Inertial measurement unit Quadruped gaits Forgetting factor least squares algorithm Generalized prediction control

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西藏波密地区深部密度结构与地震活动的关系

地质学报 2024年第10期98卷 3047-3061页

作者：范鹏啸于常青王瑞雪曾祥芝李卫强张玥雷晨露昆明理工大学国土资源工程学院云南昆明650000 中国地质科学院地质研究所北京100037 江苏东海大陆深壳活动国家野外科学观测研究站江苏连云港222000 延长油田股份有限公司勘探开发技术研究中心陕西延安716000

西藏波密地区位于南迦巴瓦构造结东北部,是研究喜马拉雅东构造结演化的关键地区。本文首次获得波密地区1:20万布格重力数据,并利用小波变换多尺度分解方法、刻痕分析方法和重力三维反演方法,获得了不同尺度的重力异常、断层分布和密度... 详细信息

西藏波密地区位于南迦巴瓦构造结东北部,是研究喜马拉雅东构造结演化的关键地区。本文首次获得波密地区1:20万布格重力数据,并利用小波变换多尺度分解方法、刻痕分析方法和重力三维反演方法,获得了不同尺度的重力异常、断层分布和密度结构。结果分析表明,波密地区整体地壳密度变化明显,与断裂分布密切相关。同时结合区域地质资料,在波密地区推断了20条断裂,发现了4处较大的横向密度不均匀带,并推断了贯穿研究区的嘉黎断裂带的产状。在此基础上利用该地区地震及余震活动记录,本文分析了深部密度结构与地震的关系。通过对研究区的断裂构造、地震活动与重力异常的密度横向变化可知,该地区地震活动、断裂带与岩石密度扰动的横向不均匀性密切相关,地震主要位于密度差异带整体的垂向的高密度区域。最后讨论了深部密度结构对波密地区大型工程建设的潜在影响。

关键词：南迦巴瓦构造结嘉黎断裂大型工程建设深部密度结构地震活动

不同品种高油酸花生热风干燥特性及热力学性质研究

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食品工业科技 2024年第14期45卷 42-49页

作者：李玉朱文学陈鹏枭王延坤蒋萌蒙王殿轩陈亮张昱泉胡新阳王瑾河南工业大学粮食和物资储备学院河南郑州450001 河南工业大学生物工程学院河南郑州450001 河北省农林科学院粮油作物研究所河北石家庄050035

为探究高油酸花生干燥过程中的水分变化规律,本文研究了不同风温(35、40、45、50℃)、风速(0.5、0.8、1.1 m/s)对三种不同高油酸花生热风干燥特性的影响,并借助Weibull分布函数分析干燥过程。结果表明,高油酸花生干燥过程以降速干燥为主... 详细信息

为探究高油酸花生干燥过程中的水分变化规律,本文研究了不同风温(35、40、45、50℃)、风速(0.5、0.8、1.1 m/s)对三种不同高油酸花生热风干燥特性的影响,并借助Weibull分布函数分析干燥过程。结果表明,高油酸花生干燥过程以降速干燥为主;风温、风速越高,高油酸花生有效水分扩散系数越大、干燥速率越快,干燥用时越短。其中,‘圣油3号’花生水分扩散速率最快、活化能最低,与Weibull分布函数拟合结果最佳;尺度参数α值随风温、风速的升高而降低,风温对α值影响极显著(P<0.01),风速对α值影响显著(P<0.05);干燥条件对形状参数β值无显著影响。另外,温度的升高促进了焓值和熵值的降低和吉布斯自由能的增加,表明干燥过程需要从干燥介质中吸收能量方能进行。Weibull分布函数可用于描述高油酸花生的热风干燥过程,为高油酸花生的工业化干燥提供技术依据,奠定理论基础。

关键词：高油酸花生热风干燥 Weibull 分布函数热力学性质

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Hydrological Response to Climate and Land Use Changes in the Dry–Warm Valley of the Upper Yangtze River

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Engineering 2022年第12期19卷 24-39页

作者： Congcong Li Yanpeng Cai Zhong Li Qianqian zhang Lian Sun Xinyi Li pengxiao Zhou State Key Laboratory of Water Environment Simulation School of EnvironmentBeijing Normal UniversityBeijing 100875China Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds Institute of Environmental and Ecological EngineeringGuangdong University of TechnologyGuangzhou 510006China Department of Civil Engineering McMaster UniversityHamiltonON L8S 4L7Canada Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 511458China Chengdu University of Information Technology Chengdu 610225China

The hydrological process in the dry–warm valley of the mountainous area of southwest China has unique characteristics and has attracted scientific attention *** that this is an area with fragile ecosystems and intensive water resource conflicts in the upper reaches of the Yangtze River,a systematic identification of its hydrological responses to climate and land use variations needs to be *** this study,MIKE SHE was employed and calibrated for the Anning River Basin in the dry–warm ***,a deep learning neural network model of the long short-term memory(LSTM)and a traditional multi-model ensemble mean(MMEM)method were used for an ensemble of 31 global climate models(GCMs)for climate *** cellular automata–Markov model was implemented to project the spatial pattern of land use considering climatic,social,and economic *** sets of climate projections and three sets of land use projections were generated and fed into the MIKE SHE to project hydrologic responses from 2021 to *** the calibration and first validation periods of the daily simulation,the coefficients of determination(R)were 0.85 and 0.87 and the Nash–Sutcliffe efficiency values were 0.72 and 0.73,*** advanced LSTM performed better than the traditional MMEM method for daily temperature and monthly *** average monthly temperature projection under representative concentration pathway 8.5(RCP8.5)was expected to be slightly higher than that under RCP4.5;this is contrary to the average monthly precipitation from June to *** variations in streamflow and actual evapotranspiration(ET)were both more sensitive to climate change than to land use *** was no significant relationship between the variations in streamflow and the ET in the study *** work could provide general variation conditions and a range of hydrologic responses to complex and changing environments,thereby assisting with stochastic uncertainty a

关键词： Dry-warm valley Hydrologic simulation Multi-ensemble GCMs Climate change Land use variations