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Applications of in-situ solid-state nuclear magnetic resonance in methanol to olefins reaction

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Science China Chemistry 2025年第1期68卷 134-151页

作者： jing Niu Shutao Xu Yingxu Wei Zhongmin Liu National Engineering Research Center of Lower-Carbon Catalysis Technology Dalian Institute of Chemical PhysicsChinese Academy of Sciences State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences University of Chinese Academy of Sciences

The methanol-to-olefins（MTO） reaction offers an alternative pathway for the production of low-carbon olefins from non-oil feedstocks. Fundamental research has been impeded by a lack of comprehensive understanding of its underlying mechanism,despite the significant progress made in industry. In-situ solid-state nuclear magnetic resonance（ss NMR） spectroscopy has emerged as a pivotal tool, offering crucial insights into key species under real-time operando conditions. Furthermore, the host–guest interaction between zeolites or surface species residing on zeolites and the reactant/active intermediates is revealed by the combination of in-situ13C MAS NMR and 2D correlation spectroscopy. Moreover, recent technological advancements in hyperpolarization（HP） methods, including HP129Xe NMR and dynamic nuclear polarization（DNP）, have significantly improved the sensitivity of ss NMR, enabling detailed structural and kinetic analysis as well as the detection of trace species. In this feature article, we summarized recent advancements in（in-situ） ss NMR spectroscopy applied to MTO reaction processes,encompassing mechanistic investigations at various stages and the intricate host–guest interactions. These theoretical insights into the dynamic evolution of MTO reactions lay a solid foundation for the optimization of catalytic processes and the development of efficient catalysts, thereby advancing the techniques towards more sustainable and economical production route for olefins.

关键词： MTO zeolites in-situ ssNMR reactive intermediates reaction mechanism

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一种面向遥感影像的分布式存储方法

测绘工程 2018年第11期27卷 40-45页

作者：聂沛陈广胜景维鹏东北林业大学信息与计算机工程学院黑龙江哈尔滨150040 黑龙江省林业生态大数据存储与高性能(云)计算工程研究中心黑龙江哈尔滨150040

高光谱影像数据量大、结构复杂,利用集群对海量数据进行分布式存储成为研究热点,但当前研究多将影像像元数据与元数据分离存储,导致系统内聚性差,影响数据存取性能,同时没有充分考虑上层各种遥感算法的数据访问需求,使得系统可用性不高... 详细信息

高光谱影像数据量大、结构复杂,利用集群对海量数据进行分布式存储成为研究热点,但当前研究多将影像像元数据与元数据分离存储,导致系统内聚性差,影响数据存取性能,同时没有充分考虑上层各种遥感算法的数据访问需求,使得系统可用性不高。针对上述问题,基于HDFS(分布式文件系统)模型提出一种分布式影像存储模型,将整个影像数据模型存储在同一个结构中,提升系统内聚性,并且提供灵活的数据分块策略以供上层应用调用,满足多种数据访问需求。通过对比实验表明,该存储模型较现有的方案有更好的存取性能,具有较高的可行性。

关键词：遥感影像分布式文件系统 HDFS 存储模型 MapImage

“互联网+”视域下课程思政助推“三教”改革路径刍论

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成才之路 2022年第16期 25-27页

作者：井卫鹏刘一叶商洛职业技术学院陕西商洛726000

网络信息技术为“课程思政”的深入推进提供了技术支撑,其理念和方法为“三教”改革的实践提供了理论借鉴和经验参考。“三教”改革要以网络信息技术为依托,助力“课程思政”协同育人;以“课程思政”理念为先导,形成德技并修的育人体系... 详细信息

网络信息技术为“课程思政”的深入推进提供了技术支撑,其理念和方法为“三教”改革的实践提供了理论借鉴和经验参考。“三教”改革要以网络信息技术为依托,助力“课程思政”协同育人;以“课程思政”理念为先导,形成德技并修的育人体系;以统筹教材建设为抓手,建立协同育人的教学体系;以打造优秀教学团队为基础,建设协同育人的人才体系;以顶层设计为引领,形成协同育人的治理体系。

关键词：课程思政 “三教”改革路径协同育人立德树人

Merging polymers of intrinsic microporosity and porous carbon-based zinc oxide composites in novel mixed matrix membranes for efficient gas separation

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Green Energy & Environment 2025年第1期10卷 203-213页

作者： Muning Chen Jiemei Zhou jing Ma Weigang Zheng Guanying Dong Xin Li Zhihong Tian Yatao Zhang jing Wang Yong Wang School of Chemical Engineering Zhengzhou UniversityZhengzhou450001HenanChina State Key Laboratory of Materials-Oriented Chemical Engineering and College of Chemical Engineering Nanjing Tech UniversityNanjing211816JiangsuChina Singapore Membrane Technology Centre Nanyang Environment and Water Research InstituteNanyang Technological UniversitySingapore637141Singapore Engineering Research Center for Nanomaterials Henan UniversityKaifeng475004HenanChina State Key Laboratory of Coking Coal Resources Green Exploitation Zhengzhou UniversityZhengzhou 450001China School of Energy and Environment Southeast UniversityNanjing210096JiangsuChina

Mixed matrix membranes(MMMs)have demonstrated significant promise in energy-intensive gas separations by amalgamating the unique properties of fillers with the facile processability of ***,achieving a simultaneous enhancement of permeability and selectivity remains a formidable challenge,due to the difficulty of achieving an optimal match between polymers and *** this study,we incorporate a porous carbon-based zinc oxide composite(C@ZnO)into high-permeability polymers of intrinsic microporosity(PIMs)to fabricate *** dipole–dipole interaction between C@ZnO and PIMs ensures their exceptional compatibility,mitigating the formation of non-selective voids in the resulting ***,C@ZnO with abundant interconnected pores can provide additional low-resistance pathways for gas transport in *** a result,the CO_(2) permeability of the optimized C@ZnO/PIM-1 MMMs is elevated to 13,215 barrer,while the CO_(2)/N_(2) and CO_(2)/CH4 selectivity reached 21.5 and 14.4,respectively,substantially surpassing the 2008 Robeson upper ***,molecular simulation results further corroborate that the augmented membrane gas selectivity is attributed to the superior CO_(2) affinity of C@*** summary,we believe that this work not only expands the application of MMMs for gas separation but also heralds a paradigm shift in the application of porous carbon materials.

关键词： Mixed matrix membranes Polymers of intrinsic microporosity CO_(2)separation Porous carbon materials

Two paths, one goal: mechanism of calcium homeostasis to balance plant growth and immunity

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Science China Life Sciences 2025年第1期68卷 306-308页

作者： Aziz Ul Ikram Yanping jing Huan Chen Jian Chen International Genome Center Jiangsu University Joint Center for Single Cell Biology School of Agriculture and BiologyShanghai Jiao Tong University

Calcium(Ca2+) is an essential nutrient and a cellular signal in plants. The level of free Ca2+in the apoplast is ～10,000-fold higher than that in the cytoplasm at the resting state. This large Ca2+level gradient across the membrane between the interior and exterior can cause Ca2+overload and toxicity. Plants have evolved mechanisms to export Ca2+out of the cytoplasm or store it in intracellular organelles, such as endoplasmic reticulum（ER）, mitochondria, and vacuole.

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Anomaly Detection of Controllable Electric Vehicles through Node Equation against Aggregation Attack

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Computers, Materials & Continua 2025年第1期82卷 427-442页

作者： jing Guo Ziying Wang Yajuan Guo Haitao Jiang State Grid Jiangsu Electric Power Co. Ltd.Research InstituteState Grid Corporation of ChinaNanjing211100China

The rapid proliferation of electric vehicle(EV)charging infrastructure introduces critical cybersecurity vulnerabilities to power grids *** study presents an innovative anomaly detection framework for EV charging stations,addressing the unique challenges posed by third-party aggregation *** approach integrates node equations-based on the parameter identification with a novel deep learning model,xDeepCIN,to detect abnormal data reporting indicative of aggregation *** employ a graph-theoretic approach to model EV charging networks and utilize Markov Chain Monte Carlo techniques for accurate parameter *** xDeepCIN model,incorporating a Compressed Interaction Network,has the ability to capture complex feature interactions in sparse,high-dimensional charging *** results on both proprietary and public datasets demonstrate significant improvements in anomaly detection performance,with F1-scores increasing by up to 32.3%for specific anomaly types compared to traditional methods,such as wide&deep and DeepFM(Factorization-Machine).Our framework exhibits robust scalability,effectively handling networks ranging from 8 to 85 charging ***,we achieve real-time monitoring capabilities,with parameter identification completing within seconds for networks up to 1000 *** research contributes to enhancing the security and reliability of renewable energy systems against evolving cyber threats,offering a comprehensive solution for safeguarding the rapidly expanding EV charging infrastructure.

关键词： Anomaly detection electric vehicle aggregation attack deep cross-network

Domain generalization with semi-supervised learning for people-centric activity recognition

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Science China(Information Sciences) 2025年第1期68卷 171-188页

作者： jing LIU Wei ZHU Di LI Xing HU Liang SONG Academy for Engineering & Technology Fudan University Shanghai East-bund Research Institute on Networking Systems of AI School of Optoelectronic Information and Computer Engineering University of Shanghai for Science & Technology

People-centric activity recognition is one of the most critical technologies in a wide range of real-world applications,including intelligent transportation systems, healthcare services, and brain-computer interfaces. Large-scale data collection and annotation make the application of machine learning algorithms prohibitively expensive when adapting to new tasks. One way of circumventing this limitation is to train the model in a semi-supervised learning manner that utilizes a percentage of unlabeled data to reduce the labeling burden in prediction tasks. Despite their appeal, these models often assume that labeled and unlabeled data come from similar distributions, which leads to the domain shift problem caused by the presence of distribution gaps. To address these limitations, we propose herein a novel method for people-centric activity recognition,called domain generalization with semi-supervised learning(DGSSL), that effectively enhances the representation learning and domain alignment capabilities of a model. We first design a new autoregressive discriminator for adversarial training between unlabeled and labeled source domains, extracting domain-specific features to reduce the distribution gaps. Second, we introduce two reconstruction tasks to capture the task-specific features to avoid losing information related to representation learning while maintaining task-specific consistency. Finally, benefiting from the collaborative optimization of these two tasks, the model can accurately predict both the domain and category labels of the source domains for the classification task. We conduct extensive experiments on three real-world sensing datasets. The experimental results show that DGSSL surpasses the three state-of-the-art methods with better performance and generalization.

关键词： activity recognition deep learning domain generalization semi-supervised learning adversarial training

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基于物联网的湿地无线监测系统的设计

森林工程 2015年第4期31卷 77-82页

作者：陈雨佳刘亚秋景维鹏东北林业大学信息与计算机工程学院哈尔滨150040

针对当前湿地监测系统存在的人力浪费严重、部署不灵活等问题,设计并实现一种基于Zig Bee和GPRS的物联网技术的湿地无线监测系统。该设计将Zig Bee技术低功耗、易组网的特点与GPRS技术远距离通信的特点相结合,成功的运用到湿地监测上,... 详细信息

针对当前湿地监测系统存在的人力浪费严重、部署不灵活等问题,设计并实现一种基于Zig Bee和GPRS的物联网技术的湿地无线监测系统。该设计将Zig Bee技术低功耗、易组网的特点与GPRS技术远距离通信的特点相结合,成功的运用到湿地监测上,建立远程湿地无线监测系统;该系统将Cluster-Tree路由算法和AODVjr路由算法相结合,在数据传输过程中有效的防止了RREQ的泛洪,提高了数据传输的成功率。通过以黑龙江扎龙自然保护区湿地为实验区进行实时监测,结果表明:此系统能够实现对湿地的远程实时无线监测,具有功耗低、成本小、误包率低等优点,对湿地的监测保护具有一定的意义。

关键词：湿地监测 ZigBee GPRS 物联网

Dielectric-ion-conductive ZnNb2O6 layer enabling rapid desolvation and diffusion for dendrite-free Zn metal batteries

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Journal of Energy Chemistry 2025年第1期100卷 693-701页

作者： Haifeng Yang Jian Wang Panpan Zhang Xiaomin Cheng Qinghua Guan jing Dong Bixian Chen Lujie Jia jing Zhang Yongzheng Zhang Yunjian Liu Hongzhen Lin School of Materials Science and Engineering Jiangsu University i-Lab & CAS Key Laboratory of Nanophotonic Materials and Devices Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of Sciences Helmholtz Institute Ulm (HIU) Karlsruhe Institute of Technology (KIT) School of Materials Science and Engineering Xi'an University of Technology State Key Laboratory of Chemical Engineering East China University of Science and Technology

Rechargeable aqueous zinc-metal batteries （AZMBs） are promising candidates for large-scale energy storage systems due to their low cost and high ***,their performance and sustainability are significantly hindered by the sluggish desolvation kinetics at the electrode/electrolyte interface and the corresponding hydrogen evolution reaction where active water molecules tightly participate in the Zn（H2O）62+solvation ***,learnt from self-generated solid electrolyte interphase （SEI） in anodes,the dielectric but ion-conductive zinc niobate nanoparticles artificial layer is constructed on metallic Zn surface （ZNB@Zn）,acting as a rapid desolvation *** zincophilic and dielectric-conductive properties of ZNB layer accelerate interfacial desolvation/diffusion and suppress surface corrosion or dendrite formation,achieving uniform Zn plating/stripping behavior,as confirmed by electronic/optical microscopies and interface spectroscopical measurements together with theoretical ***,the as-prepared ZNB@Zn electrode exhibits excellent cycling stability of over 2000 h and robust reversibility （99.54%） even under high current density and depth of discharge ***,the assembled ZNB@Zn-based full cell displays high capacity-retention rate of 80.21%after 3000 cycles at 5 A g-1and outstanding rate performance up to 10 A *** large-areal pouch cell is stabilized for hundreds of cycles,highlighting the bright prospects of the dielectric but ion-conductive layer in further application of AZMBs.

关键词： Zn metal battery Dielectric artificial layer Rapid ion diffusion Zincophilic diffusion Active water inhibition