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Predicting microbial extracellular electron transfer activity in paddy soils with soil physicochemical properties using machine learning

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Science China(Technological Sciences) 2024年第1期67卷 259-270页

作者： OU JiaJun LUO XiaoShan liu junyang HUANG LinYan ZHOU LiHua YUAN Yong School of Automation Guangdong University of TechnologyGuangzhou 510006China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangzhou Key Laboratory Environmental Catalysis and Pollution ControlSchool of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China School of Biomedical and Pharmaceutical Sciences Guangdong University of TechnologyGuangzhou 510006China

Soil extracellular electron transfer(EET)is a pivotal biological process within the realm of ***,EET suffers from a lack of predictive ***,an intricately crafted machine learning model has been developed for the purpose of predicting soil EET by using the physicochemical properties of soil as independent input variables and the EET capabilities in terms of current density(j_(max))and Coulombic charge(C_(out))as dependent output *** autoencoder ensemble stacking(AES)model was developed to address the aforementioned issue by integrating support vector machine,multilayer perceptron,extreme gradient boosting,and light gradient boosting machine algorithms as the stacking *** 10-fold crossvalidation,the AES model exhibited notable improvements in predicting j_(max)and C_(out),with average test R^(2)values of 0.83 and 0.84,respectively,surpassing those of single machine learning(ML)models and the basic ensemble *** utilizing partial correlation plots(PDPs),Shapley Additive explanations(SHAP)values,and SHAP decision plots,we quantitatively explained the impact and contribution of the input molecules on the AES model’s predictions of j_(max)and C_(out).In the context of the SHAP method for the AES model,total carbon(TC)was identified as the most correlated descriptor for j_(max),while total organic carbon(TOC)stood out as the most relevant descriptor for C_(out).In the prediction tasks of j_(max)and C_(out)within the AES model,employing a multitask ML approach allowed the model to benefit from the shared information of input variables,thereby enhancing its overall *** study provides a feasible tool for the prediction of soil EET from soil physiochemical properties and an advanced understanding of the relationship between soil physiochemical properties and EET capability.

关键词： extracellular electron transfer paddy soil machine learning prediction autoencoder ensemble stacking model

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Analysis of Electricity Consumption Pattern Clustering and Electricity Consumption Behavior

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Energy Engineering 2024年第9期121卷 2639-2653页

作者： Liang Zhu junyang liu Chen Hu Yanli Zhi Yupeng liu Power Supply Service Management Center State Grid Jiangxi Electric Power Corporation LimitedNanchang330077China State Grid Jiangxi Electric Power Corporation Limited Nanchang330077China College of Electrical and Information Engineering Hunan UniversityChangsha410082China

Studying user electricity consumption behavior is crucial for understanding their power usage ***,the traditional clustering methods fail to identify emerging types of electricity consumption *** address this issue,this paper introduces a statistical analysis of clusters and evaluates the set of indicators for power usage *** fuzzy C-means clustering algorithm is then used to analyze 6 months of electricity consumption data in 2017 from energy storage equipment,agricultural drainage irrigation,port shore power,and electric ***,the proposed method is validated through experiments,where the Davies-Bouldin index and profile coefficient are calculated and *** showed that the optimal number of clusters is *** study demonstrates the potential of using a fuzzy C-means clustering algorithmin identifying emerging types of electricity consumption behavior,which can help power system operators and policymakers to make informed decisions and improve energy efficiency.

关键词： Electricity consumption clustering consumption behavior fuzzy C-means

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Single-cluster electronics using metallic clusters:Fabrications,regulations,and applications

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Nano Research 2024年第1期17卷 65-78页

作者： Caiyun Wei Wei Xu Shurui Ji Ruiyun Huang junyang liu Wenqiu Su Jie Bai Jiale Huang Wenjing Hong State Key Laboratory of Physical Chemistry of Solid Surfaces National Engineering Research Centre of Chemicals for Electronic ManufacturingCollege of Chemistry and Chemical Engineering&Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM)Xiamen UniversityXiamen 361005China

Metallic clusters,ranging from 1 to 2 nm in size,have emerged as promising candidates for creating nanoelectronic devices at the single-cluster *** the intermediate quantum properties between metals and semiconductors,these metallic clusters offer an alternative pathway to silicon-based electronics and organic molecules for miniaturized electronics with dimensions below 5 *** progress has been made in studies of single-cluster electronic ***,a clear guide for selecting,synthesizing,and fabricating functional single-cluster electronic devices is still *** review article provides a comprehensive overview of single-cluster electronic devices,including the mechanisms of electron transport,the fabrication of devices,and the regulations of electron transport ***,we discuss the challenges and future directions for single-cluster electronic devices and their potential applications.

关键词： single-cluster junctions electronic properties electron transport metallic clusters structure regulation

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A Novel Anti-Collision Algorithm for Large Scale of UHF RFID Tags Access Systems

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Computers, Materials & Continua 2024年第7期80卷 897-912页

作者： Xu Zhang Yi He Haiwen Yi Yulu Zhang Yuan Li Shuai Ma Gui Li Zhiyuan Zhao Yue liu junyang liu Guangjun Wen Jian Li School of Information and Communication Engineering/Yibin Institute University of Electronic Science and Technology of ChinaChengdu611731China Department of IoT Technology Research China Mobile Research InstituteBeijing100053China The 10th Research Institute of China Electronics Technology Group Corporation Chengdu611731China College of Information and Communication National University of Defense TechnologyWuhan430019China

When the radio frequency identification(RFID)system inventories multiple tags,the recognition rate will be seriously affected due to *** on the existing dynamic frame slotted Aloha(DFSA)algorithm,a sub-frame observation and cyclic redundancy check(CRC)grouping combined dynamic framed slotted Aloha(SUBF-CGDFSA)algorithm is *** algorithm combines the precise estimation method of the quantity of large-scale tags,the large-scale tags grouping mechanism based on CRC pseudo-randomcharacteristics,and the Aloha anti-collision optimization mechanism based on sub-frame *** grouping tags and sequentially identifying themwithin subframes,it accurately estimates the number of remaining tags and optimizes frame length accordingly to improve efficiency in large-scale RFID *** outcomes demonstrate that this proposed algorithmcan effectively break through the system throughput bottleneck of 36.8%,which is up to 30%higher than the existing DFSA standard scheme,and has more significant advantages,which is suitable for application in largescale RFID tags scenarios.

关键词： Radio frequency identification anti-collision tags grouping dynamic framed slotted Aloha

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Passive IoT Localization Technology Based on SD-PDOA in NLOS and Multi-Path Environments

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Computers, Materials & Continua 2024年第7期80卷 913-930页

作者： junyang liu Yuan Li Yulu Zhang Shuai Ma Gui Li Yi He Haiwen Yi Yue liu Xiaotao Xu Xu Zhang Jinyao He Guangjun Wen Jian Li School of Information and Communication Engineering/Yibin Institute University of Electronic Science and Technology of ChinaChengdu611731China Department of IoT Technology Research China Mobile Research InstituteBeijing100053China The 10th Research Institute of China Electronics Technology Group Corporation Chengdu611731China College of Information and Communication National University of Defense TechnologyWuhan430019China

Addressing the challenges of passive Radio Frequency Identification(RFID)indoor localization technology in Non-Line-of-Sight(NLoS)and multipath environments,this paper presents an innovative approach by introducing a combined technology integrating an improved Kalman Filter with Space Domain Phase Difference of Arrival(SD-PDOA)and Received Signal Strength Indicator(RSSI).This methodology utilizes the distinct channel characteristics in multipath and NLoS contexts to effectively filter out interference and accurately extract localization information,thereby facilitating high precision and stability in passive RFID *** efficacy of this approach is demonstrated through detailed simulations and empirical tests conducted on a custom-built experimental platform consisting of passive RFID tags and an R420 *** findings are significant:in NLoS conditions,the four-antenna localization system achieved a notable localization accuracy of 0.25 m at a distance of 5 *** complex multipath environments,this system achieved a localization accuracy of approximately 0.5 m at a distance of 5 *** compared to conventional passive localization methods,our proposed solution exhibits a substantial improvement in indoor localization accuracy under NLoS and multipath *** research provides a robust and effective technical solution for high-precision passive indoor localization in the Internet of Things(IoT)system,marking a significant advancement in the field.

关键词： Indoor localization multipath and NLoS environments combined SD-PDOA and RSSI technology

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XMe - Xiamen Molecular Electronics Code:An Intelligent and Open-Source Data Analysis Tool for Single-Molecule Conductance Measurements

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Chinese Journal of Chemistry 2024年第3期42卷 317-329页

作者： Zhichao Pan Gang Dong Chi Shang Ruihao Li Tengyang Gao Luchun Lin Huicong Duan Xiaohui Li Jie Bai Yilin Lai Wenfeng Wu Jia Shi junyang liu Wenjing Hong State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical Engineering & Institute of Artificial IntelligenceXiamen UniversityXiamenFujian361005 China School of Artificial Intelligence Guilin University of Electronic TechnologyGuilinGuangxi541004 China

Charge transport characterization of single-molecule junctions is essential for the fundamental research of single-molecule physical chemistry and the development towards single-molecule electronic devices and circuits. Among the single-molecule conductance characterization techniques,the single-molecule break junction technique is widely used in tens of worldwide research laboratories which can generate a large amount of experimental data from thousands of individual measurement cycles. However,data interpretation is a challenging task for researchers with different research backgrounds,and the different data analysis approaches sometimes lead to the misunderstanding of the measurement data and even reproducibility issues of the measurement. It is thus a necessity to develop a user-friendly all-in-one data analysis tool that automatizes the basic data analysis in a standard and widely accepted way. In this work,we present the XMe Code (Xiamen Molecular Electronics Code),an intelligent all-in-one data analysis tool for the comprehensive analysis of single-molecule break junction data. XMe code provides end-to-end data analysis that takes in the original experimental data and returns electronic characteristics and even charge transport mechanisms. We believe that XMe Code will promote the transparency of the data analysis in single-molecule electronics and the collaborations among scientists with different research backgrounds.

关键词： Molecular electronics Single-molecule studies Break junction Data science Software

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电针早期干预对肌萎缩侧索硬化症小鼠大脑皮层TDP-43及HMGB1/RhoA信号通路的影响

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中国康复医学杂志 2024年第3期39卷 312-319页

作者：卢苑蓉刘隽阳郭婕李华王渊赵颖倩李杰王强陕西中医药大学第二临床医学院陕西省咸阳市712046 陕西中医药大学针灸推拿学院陕西省针药结合重点实验室

目的:观察电针早期干预对肌萎缩侧索硬化症(amyotrophic lateral sclerosis,ALS)小鼠大脑皮层TARDNA结合蛋白43(TARDNA binding protein,TDP-43)及HMGB1/RhoA信号通路表达的影响,探究电针早期干预改善ALS小鼠运动功能的潜在机制。方法:... 详细信息

目的:观察电针早期干预对肌萎缩侧索硬化症(amyotrophic lateral sclerosis,ALS)小鼠大脑皮层TARDNA结合蛋白43(TARDNA binding protein,TDP-43)及HMGB1/RhoA信号通路表达的影响,探究电针早期干预改善ALS小鼠运动功能的潜在机制。方法:符合SOD1G93A基因表型小鼠按随机数字表法分为模型组(SOD1G93A)、针刺干预组(electroacupuncture,EA)、利鲁唑组(Riluzole),同窝SOD1G93A阴性小鼠为空白对照组(control),每组15只。电针组针刺干预百会穴、双侧天柱穴、双侧天枢穴,5次/7d,7d为一个疗程,共治疗4个疗程。利鲁唑组予利鲁唑30mg/(kg·d)灌胃治疗,1次/d,5次/周,持续2周。采用后肢功能神经学评分和转棒疲劳实验评估各组小鼠运动功能,免疫荧光法观察大脑皮层TDP-43阳性细胞率;Western Blot法检测大脑皮质离子钙结合接头分子1(Iba-1)、HMGB1、RhoA蛋白相对表达量;Elisa法检测血清TNF-α及MCP-1的含量;透射电镜观察大脑皮层神经元形态变化。结果:与对照组比较,模型组转棒潜伏期时间减少和神经学评分增高(P<0.01),血清MCP-1、TNF-α含量和大脑皮层Iba-1、HMGB1、RhoA蛋白表达以及TDP-43阳性细胞率均升高(P<0.01)。与模型组比较,电针组和利鲁唑组转棒潜伏期时间增加和神经学评分降低(P<0.01,P<0.05),血清MCP-1、TNF-α含量和大脑皮质Iba-1、HMGB1、RhoA蛋白表达以及TDP-43阳性细胞率均降低(P<0.01,P<0.05)。电镜结果显示,对照组小鼠皮层神经元细胞结构正常,模型组小鼠神经细胞有明显病理变化,电针组和利鲁唑组神经细胞损伤减轻,结构较完整,可见部分正常细胞器。结论:电针干预可改善ALS模型小鼠的运动功能,其机制可能与抑制HMGB1/RhoA信号通路进而减轻小胶质细胞诱导的神经炎症有关,并推测其对于减少ALS病理底物TDP-43的沉积具有正相关作用。

关键词：肌萎缩侧索硬化症电针神经炎症单核细胞趋化蛋白-1 Ras同源基因家族成员A TARDNA结合蛋白-43

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Liquid-phase esterification of methacrylic acid with methanol catalyzed by cation-exchange resin in a fixed bed reactor:Experimental and kinetic studies

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Chinese Journal of Chemical Engineering 2023年第6期58卷 1-10页

作者： junyang liu Luming Wang Yuhang Bian Chunshan Li Zengxi Li Jie Li School of Chemical Sciences University of Chinese Academy of SciencesBeijing 100049China Beijing Key Laboratory of Ionic Liquids Clean Process Key Laboratory of Green Process and EngineeringState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Langfang Technological Center of Green Industry Langfang 065801China

The kinetic behavior of esterification between methacrylic acid and methanol catalyzed by NKC-9 resin was studied in a fixed bed *** reaction was conducted in the temperature range of 323.15 to 368.15 K with the molar ratio of reactants from 0.8 to 1.4 under certain *** measurement data were regression with the pseudo-homogeneous(P-H),Eley-Rideal(E-R),and Langmuir-Hinshelwood(L-H)heterogeneous kinetic *** adsorption experiments were implemented to gain the adsorption equilibrium constants of four *** the above three models,the L-H model exhibited the best fitting *** stability of NKC-9 was evaluated by long-term running with the yield of methyl methacrylate no decrease during 3000 h *** structure and physicochemical properties of the new and used catalyst were performed by several characterizations including thermogravimetric analysis(TG),scanning electron microscope(SEM),X-ray diffraction(XRD)and Fourier transform infrared spectroscopy(FT-IR)and so on.

关键词： Kinetics Esterification Methyl methacrylate Cation-exchange resin Fix bed reactor

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Investigation of electronic excited states in single-molecule junctions

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Nano Research 2022年第6期15卷 5726-5745页

作者： Wei Xu Ruihao Li Chenhao Wang Jiahe Zhong junyang liu Wenjing Hong State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM) Xiamen 361005China

The investigation of electronic excited states in single-molecule junctions not only provides platforms to reveal the photophysical and photochemical processes at the molecular level,but also brings opportunities for the development of single-molecule optoelectronic *** the interaction mechanisms between molecules and nanocavities is essential to obtain ondemand properties in devices by artificial design,since molecules in junctions exhibit unique behaviors of excited states benefited from the structures of metallic ***,we review the excitation mechanisms involved in the interplay between molecules and plasmonic nanocavities,and reveal the influence of nanostructures on excited-state properties by demonstrating the differences in excited state decay ***,vibronic transitions of molecules between nanoelectrodes are also discussed,offering a new single-molecule characterization ***,we provide the potential applications and challenges in single-molecule optoelectronic devices and the possible directions in exploring the underlying mechanisms of photophysical and photochemical processes.

关键词： single-molecule junction electronic excited states excited state decay processes vibronic transitions

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氯盐侵蚀作用下纳米碳酸钙对海砂混凝土结合氯离子性能的影响

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腐蚀与防护 2024年第9期45卷 29-37页

作者：陆逸辉孙丛涛孙明张余果刘俊阳内蒙古科技大学土木工程学院包头014010 中国科学院海洋研究所海洋腐蚀与生物污损重点实验室青岛266071 广西科学院近海海洋环境科学重点实验室南宁530007 西安建筑科技大学材料科学与工程学院西安710055

考虑氯盐侵蚀时间和纳米碳酸钙(NC)的影响,研究了氯盐侵蚀作用下海砂混凝土结合氯离子性能。结果表明:随氯盐侵蚀时间增加,海砂混凝土中自由氯离子含量和结合氯离子含量均逐渐增加,掺入NC能够进一步提高海砂混凝土中结合氯离子含量;随... 详细信息

考虑氯盐侵蚀时间和纳米碳酸钙(NC)的影响,研究了氯盐侵蚀作用下海砂混凝土结合氯离子性能。结果表明:随氯盐侵蚀时间增加,海砂混凝土中自由氯离子含量和结合氯离子含量均逐渐增加,掺入NC能够进一步提高海砂混凝土中结合氯离子含量;随氯盐侵蚀时间增加,海砂混凝土中Friedel's盐和水化硅酸钙(C-S-H)含量及C-S-H中钙硅物质的量比(Ca/Si比)逐渐提高;氯盐侵蚀14 d,掺NC海砂混凝土中Friedel's盐含量明显下降,其中掺1%NC使Friedel's盐含量减少最明显;海砂混凝土中掺入NC越多,C-S-H含量及C-S-H中Ca/Si比增大越明显,这有助于海砂混凝土中物理吸附氯离子。

关键词：海砂混凝土结合氯离子性能 Friedel's盐水化硅酸钙(C-S-H) 纳米碳酸钙(NC)

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