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Propeller-shaped NI isomers of cathode interfacial material for efficient organic solar cells

Nano Research 2024年第3期17卷 1564-1570页

作者： Hao Liu Jilei jiang Shuixing Dai Liangmin Yu Xu Zhang Xianbiao Hou Ke Gao Heqing jiang Minghua Huang School of Materials Science and Engineering Ocean University of ChinaQingdao 266100China Open Studio for Marine Corrosion and Protection Pilot National Laboratory for Marine Science and TechnologyQingdao 266100China Science Center for Material Creation and Energy Conversion Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237China Qingdao Key Laboratory of Functional Membrane Material and Membrane Technology Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101China

Cathode interfacial materials(CIMs)stand as critical elemental in organic solar cells(OSCs),which can align energy levels,and foster ohmic contacts between the cathode and active layer of the ***,the lagging advancement in CIMs has concurrently engendered the oversight of theoretical inquiries pertaining to the impact of molecular structure on their *** into this realm,we present two propeller-shaped isomers,4,4',4''-(benzo[1,2-b:3,4-b':5,6-b'']trithiophene-2,5,8-triyl)tris(2-(3-(dimethylamino)propyl)-1H-benzo[de]isoquinoline-1,3(2H)-dione)(3ONIN)and 6,6',6''-(benzo[1,2-b:3,4-b':5,6-b'']trithiophene-2,5,8-triyl)tris(2-(3-(dimethylamino)propyl)-1H-benzo[de]isoquinoline-1,3(2H)-dione)(3PNIN),distinguished by their molecular planarity,as a promising foundation for crafting highly efficient *** study illuminates the superiority of 3PNIN with more plane structure,exemplified by its enhanced molar extinction coefficient,deeper lowest unoccupied molecular orbital(LUMO)and highest occupied molecular orbital(HOMO)energy levels,intensified self-doping effect,heightened electron mobility,and elevated conductivity,in comparison to its counterpart,*** a result,3PNIN and 3ONIN-treated OSC devices yield efficiencies of 17.73%and 16.82%,*** finding serves as a compelling validation of the critical role played by molecular planarity in influencing CIM performance.

关键词： propeller-shaped molecules naphthalimide(NI)isomers cathode interfacial materials organic solar cells

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Rh(Ⅱ)-catalyzed intermolecular carboamination of pyridines via double Csp^(2)-H bond activations

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Science China Chemistry 2024年第1期67卷 374-382页

作者： Zhongfeng Luo Jingxing jiang Lifang Zou Xiaoyu Zhou Junshan Liu Zhuofeng Ke Fengjuan Chen Huanfeng jiang Wei Zeng Key Laboratory of Functional Molecular Engineering of Guangdong Province School of Chemistry and Chemical EngineeringSouth China University of TechnologyGuangzhou 510641China School of Materials Science and Engineering PCFM LabSun Yat-sen UniversityGuangzhou 510275China Guangdong Provincial Key Laboratory of Chinese Medicine Pharmaceutics School of Traditional Chinese MedicineSouthern Medical UniversityGuangzhou 510515China

We disclose the development of the Rh-catalyzed amine-directed remote 5,6-carboamination protocol of pyridines via dual Csp^(2)-H functionalizations.A variety of readily available 2-aminopyridines and 1,2,3-triazoles are allowed for coupling cyclization to access polyfunctionalized *** studies including DFT calculations unveil that relay carbenoidelectrophilic addition to pyridines and the sequential pyridyl Csp^(2)-H amination are involved in this *** postsynthetic utility of this methodology is showcased by versatile and site-selective modification of azaindoles.

关键词： Rh-catalysis azaindoles pyridyl Csp^(2)-H bond carboamination coupling-cyclization

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Attitude-adjusting dynamical behavior of cubic rover on low-gravity testbed

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Astrodynamics 2024年第1期8卷 149-159页

作者： Bowen jiang Muhammad Talha Hussain Xiangyuan Zeng School of Automation Beijing Institute of TechnologyBeijing100081China

Cubic rovers that traverse by hopping systems are promising in low-gravity *** several analyses of the control methods and mobility of the cubic rover are available,investigations of its attitude-adjusting behavior are still *** study derives the dynamic equations of the two attitude-adjusting modes of the cubic rover,referred to as walking and *** relationships between the speed threshold and rotation angle of the cubic rover were investigated in both rigid and regolith environments using a self-designed low-gravity *** studies were conducted by considering the experimental and simulated *** results of this study can be interesting for roving mission planning when exploring planetary moons and small celestial bodies.

关键词： low-gravitytestbed attitude-adjusting motion cubic rover experimental study

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Control of electromechanical performance in 3D printing latticestructured BaTiO_(3) piezoelectric ceramics

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Journal of Advanced Ceramics 2024年第7期13卷 987-1001页

作者： Zhujun jiang Yinghong Sun Jimin Chen Yong Zeng Faculty of Materials and Manufacturing Beijing University of TechnologyBeijing 100124China Beijing Engineering Research Center of 3D Printing for Digital Medical Health Beijing University of TechnologyBeijing 100124China

Barium titanate(BaTiO_(3))piezoelectric ceramics with triply periodic minimal surface(TPMS)structures have been frequently used in filters,engines,artificial bones,and other fields due to their high specific surface area,high thermal stability,and good heat ***,only a limited number of studies have analyzed the effect of various parameters,such as different wall thicknesses and porosities of TPMS structures,on ceramic electromechanical *** this study,we first employed vat photopolymerization(VPP)three-dimensional(3D)printing technology to fabricate high-performance BaTiO_(3) *** investigated the slurry composition design and forming process and designed a stepwise sintering postprocessing technique to achieve a density of 96.3%and a compressive strength of 250±25 MPa,with the piezoelectric coefficient(d_(33))reaching 263 pC/***,we explored the influence of three TPMS structures,namely,diamond,gyroid,and Schwarz P,on the piezoelectric and mechanical properties of BaTiO_(3) ceramics,with the gyroid structure identified as exhibiting optimal ***,we examined the piezoelectric and mechanical properties of BaTiO_(3) ceramics with the gyroid structure of varying wall thicknesses and porosities,thus enabling the modulation of ceramic electromechanical performance.

关键词： three-dimensional(3D)printing piezoelectric ceramics porous structure mechanical properties electrical properties

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Federated Meta Reinforcement Learning for Personalized Tasks

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Tsinghua Science and Technology 2024年第3期29卷 911-926页

作者： Wentao Liu Xiaolong Xu Jintao Wu Jielin jiang School of Computer Science Nanjing University of Information Science and TechnologyNanjing 210044China School of Software Nanjing University of Information Science and TechnologyNanjing 210044China

As an emerging privacy-preservation machine learning framework,Federated Learning(FL)facilitates different clients to train a shared model collaboratively through exchanging and aggregating model parameters while raw data are kept local and *** this learning framework is applied to Deep Reinforcement Learning(DRL),the resultant Federated Reinforcement Learning(FRL)can circumvent the heavy data sampling required in conventional DRL and benefit from diversified training data,besides privacy preservation offered by *** FRL implementations presuppose that clients have compatible tasks which a single global model can *** practice,however,clients usually have incompatible(different but still similar)personalized tasks,which we called task *** may severely hinder the implementation of FRL for practical *** this paper,we propose a Federated Meta Reinforcement Learning(FMRL)framework by integrating Model-Agnostic Meta-Learning(MAML)and ***,we innovatively utilize Proximal Policy Optimization(PPO)to fulfil multi-step local training with a single round of ***,considering the sensitivity of learning rate selection in FRL,we reconstruct the aggregation optimizer with the Federated version of Adam(Fed-Adam)on the server *** experiments demonstrate that,in different environments,FMRL outperforms other FL methods with high training efficiency brought by Fed-Adam.

关键词： federated learning reinforcement learning meta-learning personalization

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Effect of miR-124 Overexpression under Wnt/β-catenin Signaling Pathway on Inflammatory Factor and Epidermal Growth Factor in Rats with Precancerous Gastric Lesions

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Chinese Journal of Biomedical Engineering 2024年第1期33卷 17-26页

作者： ZHOU Li-jiang Zhejiang Chinese Medical University Shangyu People's Hospital of Shaoxing

Objective: To investigate the effects of miR-124 overexpression on inflammatory factors and epidermal growth factor in rats with gastric precancerous lesions by modulating the Wnt/β-catenin signaling pathway. Methods: Eighty SPF-grade Wistar rats were selected as the research subjects. After adaptive feeding,they were divided into 4 groups using a random number table method. The control group was fed a regular diet, while the model group, low expression group, and overexpression group of rats were treated with N-methyl-N'-nitro-N-nitrosoguanidine to establish a model of gastric cancer precancerous lesions. After successful modeling, the control group and model group rats were injected intraperitoneally with 0.9% sodium chloride solution, the low-expression group rats were injected intraperitoneally with miR-124-5p inhibitor, and the over-expression group rats were injected intraperitoneally with miR-124-5p mimic. After 8 weeks of continuous injection, the levels of miR-124,Wnt/β-catenin signaling pathway-related proteins, inflammatory factors, and epidermal growth factor were observed and compared among the four groups of rats. Results: The differences in the relative expression of miR-124 among the four groups of rats were statistically significant(P<0.05); the differences in the expression of Wnt protein andβ-catenin protein among the four groups of rats were statistically significant(P<0.05),and the expression of Wnt protein and β-catenin protein in the overexpression group was significantly higher than that of the control group, and significantly lower than that in the model group and the low-expression group; the levels of IL-1β, IL-6, and TNF-αof rats in the four groups of rats IL-1β, IL-6 and TNF-α levels were statistically different(P<0.05), and the levels of IL-1β, IL-6 and TNF-α in rats in the overexpression group were higher than those in the model group and significantly lower than those in the model group and the low-expression group(P<0.05); the differ

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STDNet: A Spatio-Temporal Decomposition Neural Network for Multivariate Time Series Forecasting

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Tsinghua Science and Technology 2024年第4期29卷 1232-1247页

作者： Zhuolun jiang Zefei Ning Hao Miao Li Wang College of Computer Science and Technology(College of Data Science) Taiyuan University of TechnologyJinzhong 030600China

Long-term multivariate time series forecasting is an important task in engineering applications. It helps grasp the future development trend of data in real-time, which is of great significance for a wide variety of fields. Due to the non-linear and unstable characteristics of multivariate time series, the existing methods encounter difficulties in analyzing complex high-dimensional data and capturing latent relationships between multivariates in time series, thus affecting the performance of long-term prediction. In this paper, we propose a novel time series forecasting model based on multilayer perceptron that combines spatio-temporal decomposition and doubly residual stacking, namely Spatio-Temporal Decomposition Neural Network (STDNet). We decompose the originally complex and unstable time series into two parts, temporal term and spatial term. We design temporal module based on auto-correlation mechanism to discover temporal dependencies at the sub-series level, and spatial module based on convolutional neural network and self-attention mechanism to integrate multivariate information from two dimensions, global and local, respectively. Then we integrate the results obtained from the different modules to get the final forecast. Extensive experiments on four real-world datasets show that STDNet significantly outperforms other state-of-the-art methods, which provides an effective solution for long-term time series forecasting.

关键词： time series forecasting multivariate time series spatio-temporal decomposition

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Unraveling the Cenozoic carbon cycle by reconstructing carbonate compensation depth(CCD)

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Science China Earth Sciences 2024年第6期67卷 1743-1758页

作者： Kaixun XIAO Xiumian HU Jingxin jiang Jiahao WANG State Key Laboratory of Mineral Deposit Research School of Earth Sciences and EngineeringNanjing UniversityNanjing 210023China

The Carbonate Compensation Depth(CCD)refers to the depth within the ocean where the production and dissolution rates of carbonates reach equilibrium,widely likened to the oceanic calcareous‘snowline’.The reconstruction of deep-time CCD has significant implications for understanding ocean circulation,seawater chemical conditions,sediment distribution,and the surface carbon *** paper critically reviews the methods for CCD reconstruction,summarizes the driving mechanisms of the Cenozoic CCD evolution and its association with the carbon cycle,and offers insights into future directions for CCD *** reconstruction has evolved over the past half century from early qualitative to quantitative *** methodological improvements have markedly improved the accuracy and resolution of *** studies have indicated a general trend of the CCD deepening across major ocean basins since the Cenozoic,interspersed with a minor shallowing phase during the *** variations in the CCD are primarily influenced by factors such as ocean productivity,weathering,and shelf-basin *** climate events such as the Paleocene-Eocene Thermal Maximum,the CCD exhibits pulselike *** research should focus on precision and quantification while integrating model simulations to further explore the correlations and response mechanisms between the CCD and the paleoclimate as well as the carbon cycle.

关键词： Carbonate Compensation Depth Cenozoic Carbon cycle Paleoclimate Paleoceanography

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Blockchain-based immunization against kleptographic attacks

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Science China(Information Sciences) 2024年第7期67卷 172-183页

作者： Changsong jiang Chunxiang XU Jie CHEN Kefei CHEN School of Computer Science and Engineering University of Electronic Science and Technology of China Yangtze Delta Region Institute (Huzhou) University of Electronic Science and Technology of China Department of Mathematics Hangzhou Normal University

Adversarial implementations of cryptographic primitives called kleptographic attacks cause the leakage of secret information. Subliminal channel attacks are one of the kleptographic attacks. In such attacks, backdoors are embedded in implementations of randomized algorithms to elaborately control randomness generation, such that the secrets will be leaked from biased outputs. To thwart subliminal channel attacks, double-splitting is a feasible solution, which splits the randomness generator of a randomized algorithm into two independent generators. In this paper, we instantiate double-splitting to propose a secure randomness generation algorithm dubbed SRG using two physically independent generators: ordinary and public randomness generators. Based on public blockchains, we construct the public randomness generator,which can be verified publicly. Hashes of a sufficient number of consecutive blocks that are newly confirmed on a blockchain are used to produce public randomness. In SRG, outputs from the two generators are taken as inputs of an immunization function. SRG accomplishes immunization against subliminal channel ***, we discuss the application strategies of SRG for symmetric and public-key encryption.

关键词： kleptographic attacks subliminal channel blockchain immunization randomized algorithm

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Online Pareto optimal control of mean-field stochastic multi-player systems using policy iteration

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Science China(Information Sciences) 2024年第4期67卷 21-37页

作者： Xiushan jiang Yanshuang WANG Dongya ZHAO Ling SHI College of New Energy China University of Petroleum(East China) Department of Electronic and Computer Engineering Hong Kong University of Science and Technology

In this study, the Pareto optimal strategy problem was investigated for multi-player mean-field stochastic systems governed by It? differential equations using the reinforcement learning(RL) method.A partially model-free solution for Pareto-optimal control was derived. First, by applying the convexity of cost functions, the Pareto optimal control problem was solved using a weighted-sum optimal control problem. Subsequently, using on-policy RL, we present a novel policy iteration(PI) algorithm based on the Hrepresentation technique. In particular, by alternating between the policy evaluation and policy update steps,the Pareto optimal control policy is obtained when no further improvement occurs in system performance,which eliminates directly solving complicated cross-coupled generalized algebraic Riccati equations(GAREs).Practical numerical examples are presented to demonstrate the effectiveness of the proposed algorithm.

关键词： mean-field stochastic systems Pareto optimal control policy iteration scheme $\mathcal{H}$-representation

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