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Efficient photocatalytic reduction of CO_(2)to formate by a molecular noble metal-free system

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Science China Chemistry 2025年第1期68卷 152-156页

作者： Lihua Zhang Lingjing chen Huatian Shi Yue Wei gui chen Tai-Chu Lau School of Environment and Civil Engineering Research Center for Eco-environmental EngineeringDongguan University of TechnologyDongguan 523808China Department of Chemistry and Institute of Molecular Functional Materials City University of Hong KongHong Kong 999077China

Reducing CO_(2)to carbon-neutral solar fuels can not only alleviate the energy demand but also mitigate the greenhouse *** present,developing an efficient non-noble metal photo/electrocatalytic system for converting CO_(2)to a specific product beyond CO is still a big ***,we report a new cobalt complex bearing 2,2′-bi-1,10-phenanthroline ligand that can photocatalytically reduce CO_(2)to formate(HCOO^(-)).Turnover number(TON)for HCOO^(-)up to 677 with 99%selectivity can be achieved using organic dyes purpurin as photosensitizer and 1,3-dimethyl-2-phenyl-2,3-dihydro-1H-benzo[d]imidazole(BIH)as sacrificial reductant in a CO_(2)-saturated NMP/TEA(v/v,3:1)solution under visible light *** potential electrolysis at-1.41 V(***/Ag Cl)in the presence of 12 mM Et_(3)NHBF_(4)also produced HCOO^(-)with Faradaic efficiency of 39%.Spectroscopic and electrochemical studies suggest that a[CoI-H]species is the key intermediate for CO_(2)reduction.

关键词： photocatalysis noble metal-free CO_(2)reduction formate cobalt hydride

维普期刊数据库

Cooperative output regulation of heterogeneous directed multi-agent systems:a fully distributed model-free reinforcement learning framework

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Science China(Information Sciences) 2025年第2期68卷 170-185页

作者： Xiongtao SHI Yanjie LI chenglong DU Huiping LI Chaoyang chen Weihua gui Guangdong Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics School of Mechanical Engineering and AutomationHarbin Institute of Technology (Shenzhen) School of Automation Central South University School of Marine Science and Technology Northwestern Polytechnical University School of Information and Electrical Engineering Hunan University of Science and Technology

In this paper, the cooperative output regulation(COR) problem of a class of unknown heterogeneous multi-agent systems(MASs) with directed graphs is studied via a model-free reinforcement learning(RL) based fully distributed eventtriggered control(ETC) strategy. First, we consider the scenario that the exosystem is accessible globally to all agents, an internal model-based augmented algebraic Riccati equation(AARE) is constructed, and its solution is learned by the proposed model-free RL algorithm via online input-output data. Further, for the scenario that the exosystem is accessible only to its adjacent followers, the distributed observers are designed for each agent to get the state of the exosystem, and an internal modelbased fully distributed adaptive ETC protocol is then synthesized to construct the corresponding AARE, and the feedback gain matrix is learned in a model-free fashion. The model-free RL-based control protocol proposed in this paper can not only remove the prior knowledge of agents' dynamics, but also release the dependence on global information by the adaptive event-triggered mechanism(ETM) and the new graph-based Lyapunov function. Finally, simulation results are illustrated to show the feasibility and effectiveness of the proposed control scheme.

关键词： model-free reinforcement learning unknown heterogeneous multi-agent systems fully distributed event-triggered control directed graph

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Federated local causal structure learning

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Science China(Information Sciences) 2025年第03期68卷 110-124页

作者： Kui YU chen rong Hao WANG Fuyuan CAO Jiye LIANG School of Computer and Information Hefei University of Technology School of Computer and Information Technology Shanxi University

Local causal structure learning(LCS) efficiently identifies a set of direct neighbors of a specified variable from observational data. Additionally, it distinguishes direct causes and direct effects of this variable without learning the entire causal structure. While many LCS algorithms have been proposed, they do not consider the data privacy-preserving problem,which has attracted extensive attention from academia and industry. To address this issue, we propose a federated local causal structure learning(FedLCS) algorithm to learn local causal structures in privacy-preserving data in a federated ***, FedLCS introduces a layer-wise federated local skeleton learning algorithm to construct the local skeleton. Based on this skeleton, it introduces a federated local skeleton orientation algorithm and an extension-and-backtracking orientation algorithm to orient the edges. Finally, FedLCS uses a federated local extension-and-backtracking orientation algorithm to orient the remaining edges. Extensive experiments on benchmark, synthetic, and real datasets demonstrate that FedLCS can learn the local causal structure of a given variable in a federated setting.

关键词： local causal structure learning federated learning directed acyclic graph privacy-preserving data federated layer-wise strategy

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High-throughput screening of CO_(2) cycloaddition MOF catalyst with an explainable machine learning model

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Green Energy & Environment 2025年第1期10卷 132-138页

作者： Xuefeng Bai Yi Li Yabo Xie Qiancheng chen Xin Zhang Jian-rong Li Beijing Key Laboratory for Green Catalysis and Separation and Department of Chemical Engineering College of Materials Science&EngineeringBeijing University of TechnologyBeijing100124China

The high porosity and tunable chemical functionality of metal-organic frameworks(MOFs)make it a promising catalyst design ***-throughput screening of catalytic performance is feasible since the large MOF structure database is *** this study,we report a machine learning model for high-throughput screening of MOF catalysts for the CO_(2) cycloaddition *** descriptors for model training were judiciously chosen according to the reaction mechanism,which leads to high accuracy up to 97%for the 75%quantile of the training set as the classification *** feature contribution was further evaluated with SHAP and PDP analysis to provide a certain physical understanding.12,415 hypothetical MOF structures and 100 reported MOFs were evaluated under 100℃ and 1 bar within one day using the model,and 239 potentially efficient catalysts were *** them,MOF-76(Y)achieved the top performance experimentally among reported MOFs,in good agreement with the prediction.

关键词： Metal-organic frameworks High-throughput screening Machine learning Explainable model CO_(2)cycloaddition

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A new cervical radiculopathy pain modal is associated with excitability and mechanically activated property in IB4 negative Aδ-type DRG neuron but not other small cell

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A new cervical radiculopathy pain modal is associated with e...

Limitations and enhancement opportunities for variceal rebleeding prediction model in patients with cirrhosis

中国神经科学学会第十届全国学术会议

作者： Da-lu LIU rong-gui chen Wei-wei KONG Ceng LUO San-jue HU Fourth military Medical University

The types of pains are seemed to be different in mechanism,according many reports,by specific type of neuron *** used the compression of cervical ganglion to create a new neuropathic radiculopathy pain *** tests shew cervical radiculopathy pain（CRP） rat exhibited strong mechanical allodyma and weak thermal ***-staining displayed increased expression at early stage（1-2 d） of CRP in dorsal root ganglion（DRG） as well as superficial superficial laminae of spinal *** whole cell recording represented membrane property of all DRG small neurons were excited after CRP *** only the Isolection B4（IB4） negative AS-type small neurons had obvious spontaneous activity with significantly increased Ih current after CRP *** also tested the response of these spontaneously activated neurons to the focal mechanical stimulation which applied on soma.A fierce increase（1313.8%for average,from 5.8±1.1 Hz to 47.3±6.7 Hz significantly P＜0.05） of spike frequency with long duration was observed in response to mechanically activating,however the normal control displayed weak *** concluded that the mechanically sensitive IB4 negative AS-type small neurons in DRG induce the allodyma and hypersensitivity in CRP,which is the periphery key of neuropathic pain caused by the ganglion compression.

关键词： cervical excitability dorsal root ganglion mechanically activated discharge periphery pain

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World Journal of Gastroenterology 2025年第8期31卷 161-163页

作者： Guang-Bin chen Fei Wu rong-Mei Tang Long-Jiang chen Department of Hepatobiliary Surgery The Second People's Hospital of WuhuWuhu Hospital Affiliated to East China Normal UniversityWuhu 241000Anhui ProvinceChina Graduate School Wannan Medical CollegeWuhu 241000Anhui ProvinceChina Department of Anesthesiology Fudan University Shanghai Cancer Center Xiamen HospitalXiamen 361000Fujian ProvinceChina Department of Hepatobiliary Surgery Affiliated Yijishan Hospital of Wannan Medical CollegeWuhu 241000Anhui ProvinceChina

A multicenter study recently published introduced a novel prognostic model for predicting esophagogastric variceal rebleeding after endoscopic treatment in patients with *** model incorporated six readily available clinical variables—albumin level,aspartate aminotransferase level,white blood cell count,ascites,portal vein thrombosis,and bleeding signs—and demonstrated promising predictive ***,limitations,including the retrospective design and exclusion of patients with hepatocellular carcinoma,may affect the generaliz-ability of the ***,further improvement is needed in the model’s discrimination between intermediate-and high-risk groups in ***-tive validation and inclusion of additional variables are recommended to enhan-ce predictive accuracy across diverse clinical scenarios.

关键词： Prognostic model Liver cirrhosis Variceal rebleeding Risk stratification Endoscopic treatment Portal hypertension Clinical prediction

Disease prediction by network information gain on a single sample basis

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Fundamental Research 2025年第1期5卷 215-227页

作者： Yan, Jinling Li, Peiluan Li, Ying Gao, rong Bi, cheng chen, Luonan School of Mathematics and Statistics Henan University of Science and Technology Luoyang 471023 China Key Laboratory of Information Fusion Technology of Ministry of Education School of Automation Northwestern Polytechnical University Xi'an 710072 China Longmen Laboratory Henan Luoyang 471003 China Key Laboratory of Systems Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Shanghai 200031 China Key Laboratory of Systems Health Science of Zhejiang Province Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Chinese Academy of Sciences Hangzhou 310024 China Guangdong Institute of Intelligence Science and Technology Guangdong Hengqin Zhuhai 519031 China School of Life Science and Technology ShanghaiTech University Shanghai 201210 China

There are critical transition phenomena during the progression of many diseases. Such critical transitions are usually accompanied by catastrophic disease deterioration, and their prediction is of significant importance for disease prevention and treatment. However, predicting disease deterioration solely based on a single sample is a difficult problem. In this study, we presented the network information gain (NIG) method, for predicting the critical transitions or disease state based on network flow entropy (NFE) from omics data of each individual. NIG can not only efficiently predict disease deteriorations but also detect their dynamic network biomarkers (DNBs) on an individual basis and further identify potential therapeutic targets. The numerical simulation demonstrates the effectiveness of NIG. Moreover, our method was validated by successfully predicting disease deteriorations and identifying their potential therapeutic targets from four real omics datasets, i.e., an influenza dataset and three cancer datasets. © 2023

关键词： Disease prediction Drug target Dynamic network biomarker Network flow entropy Network information gain Tipping point

Tianxiangdan(TXD) alleviates myocardial ischemia reperfusion-induced ferroptosis through the activation of estrogen receptor alpha(ERα)

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Chinese Journal of Natural Medicines 2025年第1期23卷 102-110页

作者： Yuanjia Yue Yu Li Xing rong Zhao Ji Huimin Wang Liang chen Lin Jiang Department of Pharmacy The Fourth College of Clinical Medicine Xinjiang Medical University Department of Pharmacy Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine State Key Laboratory of Pathogenesis Prevention and Treatment of High Incidence Diseases in Central Asia Xinjiang Medical University Department of Neurosurgery ICU Xinjiang Uygur Autonomous Region People's Hospital

Tianxiangdan（TXD）, a traditional Chinese herbal remedy, demonstrates efficacy in mitigating myocardial ischemia-reperfusion（I/R）-induced damage. This study employed network pharmacology to evaluate the therapeutic targets and mechanisms of TXD in treating I/R. Highperformance liquid chromatography-mass spectrometry（HPLC-MS） identified 86 compounds in TXD. Network pharmacological analysis predicted potential target genes and their modes of action. Cardiac function, ischaemic ST changes, lactate dehydrogenase（LDH）,malondialdehyde（MDA）, superoxide dismutase（SOD） activity, myocardial fiber, and infarct size were assessed using in vivo and in vitro I/R injury models. Estrogen receptor alpha（ERα）protein expression and estradiol（E2） levels were measured to confirm TXD's impact on estrogen levels and ERα expression. To examine if TXD reduces I/R injury through ERα, an AZD group(300 nmol·L-1AZD9496 and 15% TXD serum) was compared to a TXD group（15% TXD serum）. The study hypothesized that TXD upregulates the ERα-mediated iron metamorphosis pathway. I/R injury-induced ferroptosis was identified using a Fer-1 group(1.0 μmol·L-1Fer-1 and 15% TXD serum) to elucidate the potential association between ferroptosis and ERαproteins. A DCFH-DA probe detected reactive oxygen species（ROS） and Fe2+, while Western blotting assessed target protein expression. Both in vitro and in vivo experiments demonstrated that TXD attenuated I/R injury by reducing elevated ST-segment levels, improving cardiac injury biomarkers（LDH, MDA, and SOD）, alleviating pathological features, and preventing I/R-induced loss of cell viability in vitro. The effects and mechanisms of TXD on I/R injury-associated ferroptosis were investigated using I/R-induced H9c2 cells. The TXD group showed significantly decreased ROS and Fe2+levels, while the AZ group（treated with AZD9496） exhibited increased levels. The TXD group demonstrated enhanced expression of ERα and glutathione peroxidase 4（GPX4）, with reduced levels of P53

关键词： Estrogen receptor alpha Ferroptosis Myocardial ischemia-reperfusion injury Network pharmacology Tianxiangdan

Two-dimensional lateral magnetic tunnel junction with ultrahigh tunneling magnetoresistance

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Nano Research 2025年第2期18卷 958-964页

作者： Qiu-Qiu Li Zhi-Fu Duan Wen-Wen Liu rong Yang Bo Li Ke-Qiu chen Changsha Semiconductor Technology and Application Innovation Research Institute College of Semiconductors(College of Integrated Circuits)Hunan UniversityChangsha 410082China Department of Applied Physics School of Physics and ElectronicsHunan UniversityChangsha 410082China Research Institute of Hunan University in Chongqing Chongqing 401120China Shenzhen Research Institute of Hunan University Shenzhen 518063China

Giant tunneling magnetoresistance(TMR)has always been a pursuit in the research of magnetic tunnel junctions(MTJ).Two-dimensional(2D)magnetic materials have been used to construct lateral MTJ with high *** we investigated the crystal structure and magnetic property of CrSI monolayer,and found that it is a ferromagnetic semiconductor with a Curie temperature of about 180 *** CrSI monolayer with Li adsorption(Li-CrSI)show ferromagnetic half-metallic with a high Curie temperature of 300 *** we designed a lateral Li CrSI/CrSI/Li-CrSI monolayer *** TMR of the MTJs along b transport direction is 3 orders of magnitude times larger than that of the a transport direction,which should result from the different spin filtering ability along the two *** TMR of b transport direction in the MTJ is 7.67×10^(14),which is significantly higher than that of any reported lateral MTJs based on 2D *** results provide a promising avenue for designing lateral MTJs with giant TMR and high Curie temperature.

关键词： two-dimensional materials magnetic tunnel junctions CrSI monolayer tunneling magnetoresistance Li atom adsorption