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Optimization Strategies of Na_(3)V_(2)(PO_(4))_(3) Cathode Materials for Sodium‑Ion Batteries

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Nano-Micro Letters 2025年第2期17卷 204-251页

作者： Jiawen Hu Xinwei Li Qianqian Liang Li xu Changsheng Ding Yu Liu Yanfeng Gao School of Materials Science and Engineering Shanghai UniversityShanghai 200444People’s Republic of China Shanghai Institute of Ceramics Chinese Academy of SciencesShanghai 200050People’s Republic of China

Na_(3)V_(2)(PO_(4))_(3)(NVP)has garnered great attentions as a prospective cathode material for sodium-ion batteries(SIBs)by virtue of its decent theoretical capacity,superior ion conductivity and high structural ***,the inherently poor electronic conductivity and sluggish sodium-ion diffusion kinetics of NVP material give rise to inferior rate performance and unsatisfactory energy density,which strictly confine its further application in ***,it is of significance to boost the sodium storage performance of NVP cathode *** to now,many methods have been developed to optimize the electrochemical performance of NVP cathode *** this review,the latest advances in optimization strategies for improving the electrochemical performance of NVP cathode material are well summarized and discussed,including carbon coating or modification,foreign-ion doping or substitution and nanostructure and morphology *** foreign-ion doping or substitution is highlighted,involving Na,V,and PO_(4)^(3−)sites,which include single-site doping,multiple-site doping,single-ion doping,multiple-ion doping and so ***,the challenges and prospects of high-performance NVP cathode material are also put *** is believed that this review can provide a useful reference for designing and developing high-performance NVP cathode material toward the large-scale application in SIBs.

关键词： Sodium-ion batteries Na_(3)V_(2)(PO_(4))_(3) Cathode materials Electrochemical performance Optimization strategies

Perfluoropentane-based oxygen-loaded nanodroplets reduce microglial activation through metabolic reprogramming

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Neural Regeneration Research 2025年第4期20卷 1178-1191页

作者： Wanxian Luo Chuanhui xu Linxi Li Yunxiang Ji Yezhong Wang Yingjia Li Yongyi Ye Department of Medicine Ultrasonics Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdong ProvinceChina Institute of Neuroscience Department of NeurosurgeryThe Second Affiliated Hospital of Guangzhou Medical UniversityGuangzhouGuangdong ProvinceChina

Microglia,the primary immune cells within the brain,have gained recognition as a promising therapeutic target for managing neurodegenerative diseases within the central nervous system,including Parkinson’s *** perfluorocarbon droplets have been reported to not only possess a high oxygen-carrying capacity,but also exhibit remarkable anti-inflammatory ***,the role of perfluoropentane in microglia-mediated central inflammatory reactions remains poorly *** this study,we developed perfluoropentane-based oxygen-loaded nanodroplets(PFP-OLNDs)and found that pretreatment with these droplets suppressed the lipopolysaccharide-induced activation of M1-type microglia in vitro and in vivo,and suppressed microglial activation in a mouse model of Parkinson’s *** suppression led to a reduction in the inflammatory response,oxidative stress,and cell migration capacity in ***,the neurotoxic effects were mitigated,which alleviated neuronal ***,ultrahigh-performance liquid chromatography–tandem mass spectrometry showed that the anti-inflammatory effects of PFP-OLNDs mainly resulted from the modulation of microglial metabolic *** further showed that PFP-OLNDs regulated microglial metabolic reprogramming through the AKT-mTOR-HIF-1α***,our findings suggest that the novel PFP-OLNDs constructed in this study alleviate microglia-mediated central inflammatory reactions through metabolic reprogramming.

关键词： metabolic reprogramming microglia microglial migration nanotherapy neurodegenerative diseases neuroinflammation oxygen-loaded nanodroplets Parkinson’s disease perfluoropentane ultra-performance liquid chromatography–mass spectrometry

基于代谢组学的中药“组效关系”研究思路与策略

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世界科学技术-中医药现代化 2011年第1期13卷 30-35页

作者：许海玉唐仕欢陈建新李德凤陈畅杨洪军刘昌孝中国中医科学院中药研究所北京100700 北京中医药大学北京100029 天津药物研究院天津300193

中药药效物质组合与药效活性的关联性即"组效关系"是中药现代研究的关键科学问题之一。本文提出了基于代谢组学的中药"组效关系"研究的基本策略,即基于药物代谢物组学的有效成分辨识,基于代谢组学的有效成分组合的药效活性评价,基于系... 详细信息

中药药效物质组合与药效活性的关联性即"组效关系"是中药现代研究的关键科学问题之一。本文提出了基于代谢组学的中药"组效关系"研究的基本策略,即基于药物代谢物组学的有效成分辨识,基于代谢组学的有效成分组合的药效活性评价,基于系统建模的有效成分组合与药效活性之间关联性分析。该策略的提出,对于创新中药质量评价模式、阐释方剂配伍规律、创制组分中药具有重要意义。

关键词：组效关系药物代谢物组学代谢组学有效成分活性评价数据挖掘

A novel low molecular weight compound polysaccharides from Chinese herbal medicines: purification， characterization and anti-tumor activities in vitro and in vivo

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Food Science and Human Wellness 2024年

作者： xu Yang Dongli Cao haiyu Ji Huijing xu Mengjie xu Anjun Liu National Center of Inspection and Testing for Processed Food Quality， Tianjin Institute for Food Safety Inspection Technology Key Laboratory of Food Nutrition and Safety， Ministry of Education， School of Food Science and Engineering， Tianjin University of Science and Technology

A novel low molecular weight polysaccharide (LMW-CPS) was identified from a specific combination of Chinese herb ingredients. The monosaccharide composition of LMW-CPS was consisted of single arabinose， which had an α-L-furanose configuration with an average molecular weight of 2.06 kDa. NMR spectra and monosaccharide constitution analyses revealed that it had a backbone of →5)-α-L-Araf-(1→ with α-L-Araf-(1→ as the terminal residue. In vitro experiments found that it could lead to apoptosis and inhibit hepatocellular carcinoma cell proliferation by arresting them in the S phase. In vivo experiments showed that it protected immune organs such as the thymus and spleen， enhanced immune cell activities， stimulated cytokine release， augmented the abundance of CD8， CD3， CD4， and CD19 positive lymphocytes， and markedly impeded solid hepatocellular carcinoma progression in mice. H&E staining and cell cycle examination also indicated that LMW-CPS arrested hepatocellular carcinoma cells at the S phase to induce apoptosis. These findings indicated its promising potential for the treatment of hepatocellular carcinoma.

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Recent Advances in Artificial Sensory Neurons: Biological Fundamentals, Devices, Applications, and Challenges

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NANO-MICRO LETTERS 2025年第1期17卷 1-49页

作者： Zhong, Shuai Su, Lirou xu, Mingkun Loke, Desmond Yu, Bin Zhang, Yishu Zhao, Rong Guangdong Inst Intelligence Sci & Technol Zhuhai 519031 Hengqin Peoples R China Zhejiang Univ Coll Integrated Circuits Hangzhou 3112000 Peoples R China ZJU Hangzhou Global Sci & Technol Innovat Ctr Hangzhou 310027 Peoples R China Singapore Univ Technol & Design Dept Sci Math & Technol Singapore 487372 Singapore Tsinghua Univ Dept Precis Instruments Beijing 100084 Peoples R China Tsinghua Univ Ctr Brain Inspired Comp Res Beijing 100084 Peoples R China Tsinghua Univ IDG McGovern Inst Brain Res Beijing 100084 Peoples R China

Biological fundamentals and recent progress of artificial sensory neurons are systematically *** device, performance metrics, and potential applications of artificial sensory neurons are *** for the future development of artificial sensory neurons are discussed. Spike-based neural networks, which use spikes or action potentials to represent information, have gained a lot of attention because of their high energy efficiency and low power consumption. To fully leverage its advantages, converting the external analog signals to spikes is an essential prerequisite. Conventional approaches including analog-to-digital converters or ring oscillators, and sensors suffer from high power and area costs. Recent efforts are devoted to constructing artificial sensory neurons based on emerging devices inspired by the biological sensory system. They can simultaneously perform sensing and spike conversion, overcoming the deficiencies of traditional sensory systems. This review summarizes and benchmarks the recent progress of artificial sensory neurons. It starts with the presentation of various mechanisms of biological signal transduction, followed by the systematic introduction of the emerging devices employed for artificial sensory neurons. Furthermore, the implementations with different perceptual capabilities are briefly outlined and the key metrics and potential applications are also provided. Finally, we highlight the challenges and perspectives for the future development of artificial sensory neurons.

关键词： Artificial intelligence Emerging devices Artificial sensory neurons Spiking neural networks Neuromorphic sensing

Targets capture by distributed active swarms via bio-inspired reinforcement learning

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun xu Yue Li Jun Sun Shuyuan Du Xinpeng Di Yuguang Yang Bo Li Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Institute of Nuclear and New Energy Technology Tsinghua University Shanghai Aerospace Control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent Control Technology College of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural swarms arranged from cells to herds are usually decentralized but display intriguing collective intelligence in coordinating individuals across large scales to efficiently achieve their common goals. Learning from nature may provide new strategies for controlling collective dynamics of synthetic swarms to accomplish specific functions. Here, we present a bioinspired computational framework that steers distributed active swarms to collectively capture and merge targets via reinforcement learning. We exploit collective milling structures of natural herds to cage the targets, and adopt a switching control policy inspired by sperms' chiral dynamics to optimize the trajectories of individuals, through which the active swarms can selforganize to enclose single or multiple distant targets in a dynamical, adaptive and scalable manner. There exists a critical swarm size, beyond which the excessive competition between agents would generate large mechanical forces, leading to capture instability but enabling the transition from short-distance to long-distance merging capture of multiple targets. This work provides physical insights into distributed active swarms and could offer a multilevel, decentralized strategy toward controlling swarm robotics in wide applications such as bio-medical devices, machine immunity, and target clearance.

关键词： swarm intelligence robotics multi-tasks artificial intelligence bionics

Solar flare forecasting based on a Fusion Model

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Earth and Planetary Physics 2025年第1期9卷 171-181页

作者： YiYang Li ShiYong Huang SiBo xu ZhiGang Yuan Kui Jiang QiYang Xiong RenTong Lin School of Earth and Space Science Technology Hubei Luojia LaboratoryWuhan UniversityWuhan 430072China

Solar flare prediction is an important subject in the field of space *** learning technology has greatly promoted the development of this *** this study,we propose a novel solar flare forecasting model integrating Deep Residual Network(ResNet)and Support Vector Machine(SVM)for both≥C-class(C,M,and X classes)and≥M-class(M and X classes)*** collected samples of magnetograms from May 1,2010 to September 13,2018 from Space-weather Helioseismic and Magnetic Imager(HMI)Active Region Patches and then used a cross-validation method to obtain seven independent data *** then utilized five metrics to evaluate our fusion model,based on intermediate-output extracted by ResNet and SVM using the Gaussian kernel *** results show that the primary metric true skill statistics(TSS)achieves a value of 0.708±0.027 for≥C-class prediction,and of 0.758±0.042 for≥M-class prediction;these values indicate that our approach performs significantly better than those of previous *** metrics of our fusion model’s performance on the seven datasets indicate that the model is quite stable and robust,suggesting that fusion models that integrate an excellent baseline network with SVM can achieve improved performance in solar flare ***,we also discuss the performance impact of architectural innovation in our fusion model.

关键词： solar flare pace weather deep learning Fusion Model

基于分子指纹的中药分子作用网络分析系统的研究与实现

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科研信息化技术与应用 2016年第5期7卷 59-66页

作者：丁磊于建军付岩许海玉刘振明张彦琼杨洪军中国科学院大学北京100049 中国科学院计算机网络信息中心北京100190 中国科学院数学与系统科学研究院北京100190 中国中医科学院中药研究所北京100700 北京大学药学院北京100191

近年来,从传统中药中寻找活性成分成为研发新药的有效途径,而对中药分子作用机制的研究将显著提高筛选的准确性。本文在前期的研究基础上实现了中药成分的靶标预测、根据预测靶标构建成分-靶标网络、利用网络特征实现分子网络的筛选和... 详细信息

近年来,从传统中药中寻找活性成分成为研发新药的有效途径,而对中药分子作用机制的研究将显著提高筛选的准确性。本文在前期的研究基础上实现了中药成分的靶标预测、根据预测靶标构建成分-靶标网络、利用网络特征实现分子网络的筛选和分析等核心分析方法,设计了一种高效、易用的中药分子作用网络自动化分析系统。用户可以通过web的方式方便的获取中药成分数据,并利用本系统对所需的中药数据进行靶标预测和分子网络研究与分析。

关键词：传统中药分子指纹靶标预测网络分析蛋白质相互作用

Mutual-structure weighted guided image filtering for depth map restoration

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Optoelectronics Letters 2025年第1期21卷 51-56页

作者： LIU Zijian SONG Jian CHEN Quanmin xu Jiangtao Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology School of Microelectronics Tianjin University Spikesee Technology Co. Ltd.

Although guided image filtering(GIF) is known for preserving edges and fast computation, it may produce inaccurate outputs in depth map restoration. In this paper, a novel confidence-weighted GIF called mutual-structure weighted GIF(MSWGIF) is proposed, which replaces the mean filtering strategy in GIF during handling overlapping windows. The confidence value is composed of a depth term and a mutual-structure term, where the depth term is utilized to protect the edges of the output, and the mutual-structure term helps to select accurate windows during the structure characteristics of the guidance image are transferred to the output. Experimental results show that MSWGIF reduces the root mean square error(RMSE) by an average of 12.37%, and the average growth rate of correlation(CORR) is 0.07% on average. Additionally, the average growth rate of structure similarity index measure(SSIM) is 0.34%.

关键词： Wiener filtering