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新型微生物包埋颗粒固定化技术降解甲醛的研究

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当代化工研究 2024年第15期 185-187页

作者：陈艾昕李毅恒谌蕊姜明杉张志涛吴莎长沙理工大学水利与环境工程学院湖南410114 洞庭湖水环境治理与生态修复湖南省重点实验室湖南410114 长沙理工大学食品与生物工程学院湖南410114

传统的甲醛去除方法效率低、易致二次污染,微生物法则操作复杂、易受环境影响。固定化微生物技术有生物量浓度高、处理效率高、条件简易等诸多优点。本实验对以甲醛为唯一碳源的微生物进行培养和鉴定,采用反复冻融聚乙烯醇和海藻酸钠制... 详细信息

传统的甲醛去除方法效率低、易致二次污染,微生物法则操作复杂、易受环境影响。固定化微生物技术有生物量浓度高、处理效率高、条件简易等诸多优点。本实验对以甲醛为唯一碳源的微生物进行培养和鉴定,采用反复冻融聚乙烯醇和海藻酸钠制作包埋颗粒,评估其降解效果。在9天的降解后,经筛选培养的微生物包埋颗粒使甲醛含量降至初始值的52.1%。本研究通过固定化生物技术降解室内甲醛,在兼顾环保的同时提高了甲醛降解的效率和稳定性。

关键词：甲醛降解包埋固定化生物技术室内甲醛净化

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糯玉米品种斯达糯46在越南的试种表现

现代农业科技 2024年第11期 19-23,27页

作者：章忠贵朱守晶 NGUYEN Pham Hung DANG Cao Cuong 江明山李新燕华中农业大学湖北武汉430070 安徽科技学院农学院安徽凤阳233100 越南太平种子股份公司越南太平33000 北京中农斯达农业科技开发有限公司北京101500

为明确糯玉米优质品种斯达糯46在越南种植的适应性,将该品种种植于越南红河三角洲地区,以越南主栽品种HN88为对照,对其生育期、农艺性状、抗性、食味品质等进行鉴定和评价。结果表明,斯达糯46生育进程与对照HN88相似;农艺性状方面,斯达... 详细信息

为明确糯玉米优质品种斯达糯46在越南种植的适应性,将该品种种植于越南红河三角洲地区,以越南主栽品种HN88为对照,对其生育期、农艺性状、抗性、食味品质等进行鉴定和评价。结果表明,斯达糯46生育进程与对照HN88相似;农艺性状方面,斯达糯46穗位株高比优于对照HN88,抗倒伏能力强;抗病虫害方面,斯达糯46对螟虫、大斑病、小斑病、茎腐病、矮花叶病、穗腐病有良好的抗性;果穗性状方面,斯达糯46的双穗率、穗长、穗粗、穗行数、穗粒数均高于对照HN88,千粒重较对照HN88高13.3%;产量表现方面,斯达糯46的鲜穗产量较对照HN88显著增加20.9%,籽粒产量较对照HN88增加17.8%;品质评分与对照HN88接近。综合以上结果,种植于越南的斯达糯46表现了良好的气候适应性,在产量、抗性、品质、植株性状等方面表现突出,有良好的推广价值。

关键词：糯玉米斯达糯46 产量适应性越南

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An improved initial rotor position estimation method using high-frequency pulsating voltage injection for PMSM

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Defence Technology（防务技术） 2024年第3期33卷 19-29页

作者： Yang jiang Ming Cheng School of Electrical Engineering Southeast UniversityNanjing 210096China

High frequency pulsating voltage injection method is a good candidate for detecting the initial rotor position of permanent magnet synchronous ***,traditional methods require a large number of filters,which leads to the deterioration of system stability and dynamic *** order to solve these problems,a new signal demodulation method is proposed in this *** proposed new method can directly obtain the amplitude of high-frequency current,thus eliminating the use of filters,improving system stability and dynamic performance and saving the work of adjusting filter *** addition,a new magnetic polarity detection method is proposed,which is robust to current measurement ***,experiments verify the effectiveness of the method.

关键词： Initial position detection Signal demodulation algorithm Magnetic polarity detection Filter elimination

Highly homogeneous zero-index metamaterials make devices more compact and perform better

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Light(Science & Applications) 2024年第5期13卷 806-807页

作者： Wei-Xiang jiang State Key Laboratory of Milimeter Waves School of Information Science and EngineeringSoutheast University210096 NanjingChina

A highly homogeneous microwave zero-index metamaterial based on high-permittivity SrTiO3 ceramics is demonstrated to realize the small-aperture high-directivity *** a novel technique is a remarkable step forward to de... 详细信息

关键词： ceramics SrTiO3 Highly

Comparative analysis of DNA-SIP and magnetic-nanoparticle mediated isolation (MMI) on unraveling dimethoate degraders

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Frontiers of Environmental Science & Engineering 2024年第1期18卷 59-69页

作者： Luning Lian Yi Xing Dayi Zhang Longfei jiang Mengke Song Bo jiang School of Energy and Environmental Engineering University of Science&Technology BeijingBeijing 100083China Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science&Technology BeijingBeijing 100083China National Environmental and Energy Science and Technology International Cooperation Base University of Science&Technology BeijingBeijing 100083China College of New Energy and Environment Jilin UniversityChangchun 130021China Guangzhou Institute of Geochemistry Chinese Academy of SciencesGuangzhou 510640China College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510642China National Engineering Laboratory for Site Remediation Technologies Beijing 100015China

Microorganisms are crucial in the bioremediation of organophosphorus pesticides. However, most functional microorganisms (> 99%) are yet to be cultivated. This study applied two cultivation-independent approaches, DNA-SIP and magnetic-nanoparticle mediated isolation (MMI), to identify the functional microorganisms in degrading dimethoate in agricultural soils. MMI identified five dimethoate degraders: Pseudomonas, Bacillus, Ramlibacter, Arthrobacter, and Rhodococcus, whereas DNA-SIP identified three dimethoate degraders: Ramlibacter, Arthrobacter, and Rhodococcus. Also, MMI showed higher resolution than DNA-SIP in identifying functional microorganisms. Two organic phosphohydrolase (OPH) genes: ophC2 and ophB, were involved in dimethoate metabolism, as revealed by DNA-SIP and MMI. The degradation products of dimethoate include omethoate, O,O,S-trimethyl thiophosphorothioate, N-methyl-2-sulfanylacetamide, O,O-diethyl S-hydrogen phosphorodithioate, O,O,O-trimethyl thiophosphate, O,O,S-trimethyl thiophosphorodithioate, and O,O,O-trimethyl phosphoric. This study emphasizes the feasibility of using SIP and MMI to explore the functional dimethoate degraders, expanding our knowledge of microbial resources with cultivation-independent approaches.

关键词： Stable isotope probing(SIP) Magnetic-nanoparticle mediated isolation(MMI) Dimethoate Biodegradation Cultivation-independent approach

Drug-Target Interactions Prediction Based on Signed Heterogeneous Graph Neural Networks

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Chinese Journal of Electronics 2024年第1期33卷 231-244页

作者： Ming CHEN Yajian jiang Xiujuan LEI Yi PAN Chunyan JI Wei jiang College of Information Science and Engineering Hunan Normal University School of Computer Science Shaanxi Normal University Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences Computer Science Department BNU-HKBU United International College

Drug-target interactions(DTIs) prediction plays an important role in the process of drug *** computational methods treat it as a binary prediction problem, determining whether there are connections between drugs and targets while ignoring relational types information. Considering the positive or negative effects of DTIs will facilitate the study on comprehensive mechanisms of multiple drugs on a common target, in this work, we model DTIs on signed heterogeneous networks, through categorizing interaction patterns of DTIs and additionally extracting interactions within drug pairs and target protein pairs. We propose signed heterogeneous graph neural networks(SHGNNs), further put forward an end-to-end framework for signed DTIs prediction, called SHGNN-DTI,which not only adapts to signed bipartite networks, but also could naturally incorporate auxiliary information from drug-drug interactions(DDIs) and protein-protein interactions(PPIs). For the framework, we solve the message passing and aggregation problem on signed DTI networks, and consider different training modes on the whole networks consisting of DTIs, DDIs and PPIs. Experiments are conducted on two datasets extracted from Drug Bank and related databases, under different settings of initial inputs, embedding dimensions and training modes. The prediction results show excellent performance in terms of metric indicators, and the feasibility is further verified by the case study with two drugs on breast cancer.

关键词： Drugs Training Proteins Measurement Message passing Prediction methods Graph neural networks

Advances in Triboelectric Nanogenerators for Blue Energy Harvesting and Marine Environmental Monitoring

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Engineering 2024年第2期33卷 204-224页

作者： Yang jiang Xi Liang Tao jiang Zhong Lin Wang CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro–Nano Energy and SensorsBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China Georgia Institute of Technology AtlantaGA 30332USA

Blue energy,which includes rainfall,tidal current,wave,and water-flow energy,is a promising renewable resource,although its exploitation is limited by current technologies and thus remains *** form of energy is mainly harvested by electromagnetic generators(EMGs),which generate electricity via Lorenz force-driven electron *** nano genera tors(TENGs)and TENG networks exhibit superiority over EMGs in low-frequency and high-entropy energy harvesting as a new approach for blue energy harvesting.A TENG produces electrical outputs by adopting the mechanism of Maxwell’s displacement *** date,a series of research efforts have been made to optimize the structure and performance of TENGs for effective blue energy harvesting and marine environmental *** the great progress that has been achieved in the use of TENGs in this context so far,continuous exploration is required in energy conversion,device durability,power management,and environmental *** review reports on advances in TENGs for blue energy harvesting and marine environmental *** introduces the theoretical foundations of TENGs and discusses advanced TENG prototypes for blue energy harvesting,including TENG structures that function in freestanding and contact-separation *** enhancement strategies for TENGs intended for blue energy harvesting are also ***,marine environmental applications of TENGs based on blue energy harvesting are discussed.

关键词： Triboelectric nanogenerator TENG networks Blue energy Energy harvesting Ocean sensors

Operational requirements analysis method based on question answering of WEKG

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Journal of Systems Engineering and Electronics 2024年第2期35卷 386-395页

作者： ZHANG Zhiwei DOU Yajie XU Xiangqian MA Yufeng jiang jiang TAN Yuejin College of Systems Engineering National University of Defense TechnologyChangsha 410073China

The weapon and equipment operational requirement analysis(WEORA) is a necessary condition to win a future war,among which the acquisition of knowledge about weapons and equipment is a great challenge. The main challenge is that the existing weapons and equipment data fails to carry out structured knowledge representation, and knowledge navigation based on natural language cannot efficiently support the WEORA. To solve above problem, this research proposes a method based on question answering(QA) of weapons and equipment knowledge graph(WEKG) to construct and navigate the knowledge related to weapons and equipment in the WEORA. This method firstly constructs the WEKG, and builds a neutral network-based QA system over the WEKG by means of semantic parsing for knowledge navigation. Finally, the method is evaluated and a chatbot on the QA system is developed for the WEORA. Our proposed method has good performance in the accuracy and efficiency of searching target knowledge, and can well assist the WEORA.

关键词： operational requirement analysis weapons and equipment knowledge graph(WEKG) question answering(QA) neutral network

Hybrid rogue waves and breather solutions on the double-periodic background for the Kundu-DNLS equation

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Communications in Theoretical Physics 2024年第5期76卷 33-48页

作者： DongZhu jiang Zhaqilao College of Mathematics Science Inner Mongolia Normal UniversityHohhot 01022China Center for Applied Mathematical Science Inner MongoliaHohhot 010022China

In this paper,by using the Darboux transformation(DT)method and the Taylor expansion method,a new nth-order determinant of the hybrid rogue waves and breathers solution on the double-periodic background of the Kundu-DNLS equation is constructed when n is *** and rogue waves can be obtained from this determinant,*** to this,the hybrid rogue waves and breathers solutions on the different periodic backgrounds are given explicitly,including the single-periodic background,the double-periodic background and the plane wave background by selecting different *** addition,the form of the obtained solutions is summarized.

关键词： double-periodic background hybrid rogue waves and breather darboux transformation Kundu-DNLS equation