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A self-adaptive inorganic in-situ separator by particle crosslinking for nonflammable lithium-ion batteries

Journal of Energy Chemistry 2025年第1期100卷 469-480页

作者： Jiarui Yang Jiuzhou liu Wenrui Cai Ziyu Zhao Shan Wang Lu He Shanshan Lv Zhiwei Zhu Zhongfeng Ji Guojiang Wen Hua Li yuanming Zhai Xuewei Fu Wei Yang yu Wang College of Polymer Science and Engineering State Key Laboratory of Polymer Materials Engineering Sichuan University

All-safe liquid-state lithium-ion batteries(ASLS-LIBs) is of great interest as they can potentially combine the safety of all-solid-state batteries with the high performance and low manufacturing cost of traditional liquid-state LIBs. However, the practical success of ASLS-LIBs is bottlenecked by the lack of advanced separator technology that can simultaneously realize high performances in puncturing-tolerability,fire-resistance, and importantly, wetting-capability with non-flammable liquid-electrolytes. Here, we propose a concept of inorganic in-situ separator(IISS) by hybrid-sol physical crosslinking directly onto the electrode surface to address the above challenges. Particularly, the hybrid-sol is designed with silica nanoparticles as the building block and poly(vinylidene difluoride) nanoparticles as the crosslinking agent. The critical factors for controlling the IISS microstructures and properties have been systematically investigated. The advantages of the IISS have been confirmed by its fast wetting with various fireresistant liquid-electrolytes, customizable thickness and porous structures, robust interface with planar or three-dimensional(3D)-structured electrodes, and importantly, unexpected self-adaptability against puncturing. Enabled by the above merits, a fire-resistant ASLS-LIB is successfully assembled and demonstrated with stable electrochemical performance. This sol-crosslinked IISS may open an avenue for the studies on the next-generation separator technology, cell assembling, solid electrolyte processing as well as non-flammable secondary batteries.

关键词： Silica nanoparticles

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The compound(E)-2-(3,4-dihydroxystyryl)-3-hydroxy-4H-pyran-4-one alleviates neuroinflammation and cognitive impairment in a mouse model of Alzheimer's disease

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Neural Regeneration Research 2025年第11期20卷 3330-3344页

作者： Xueyan liu Wei Wu Xuejuan Li Chengyan Wang Ke Chai Fanru yuan Huijuan Zheng yuxing Yao Chenlu Li Zu-Cheng Ye Daijun Zha Department of Medicinal Chemistry School of PharmacyFujian Medical UniversityFuzhouFujian ProvinceChina Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases School of Basic Medical SciencesFujian Medical UniversityFuzhouFujian ProvinceChina Institute of Laboratory Animal Center Fujian Medical UniversityFuzhouFujian ProvinceChina Department of Neurosurgery Neurosurgery Research InstituteThe First Affiliated HospitalFujian Medical UniversityFuzhouFujian ProvinceChina Department of Hyperbaric Oxygen National Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouFujian ProvinceChina

Previous studies have shown that the compound(E)-2-(3,4-dihydroxystyryl)-3-hydroxy-4H-pyran-4-one(D30),a pyromeconic acid derivative,possesses antioxidant and anti-inflammatory properties,inhibits amyloid-β aggregation,and alleviates scopolamine-induced cognitive impairment,similar to the phase Ⅲ clinical drug *** this study,we established a mouse model of Alzheimer's disease via intracerebroventricular injection of fibrillar amyloid-β to investigate the effect of D30 on fibrillar amyloid-β-induced *** results showed that D30 alleviated fibrillar amyloid-β-induced cognitive impairment,promoted fibrillar amyloid-β clearance from the hippocampus and cortex,suppressed oxidative stress,and inhibited activation of microglia and astrocytes.D30 also reversed the fibrillar amyloid-β-induced loss of dendritic spines and synaptic protein ***,we demonstrated that exogenous fibrillar amyloid-βintroduced by intracerebroventricular injection greatly increased galectin-3 expression levels in the brain,and this increase was blocked by *** the role of D30 in clearing amyloid-β,inhibiting neuroinflammation,protecting synapses,and improving cognition,this study highlights the potential of galectin-3 as a promising treatment target for patients with Alzheimer's disease.

关键词： Alzheimer's disease amyloid-β astrocyte cognitive impairment D30 dendritic spines galectin-3 microglia neuroinflammation neuron

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Carbon dots self-assembly enables near-infrared emission

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Science China Chemistry 2025年

作者： Shurong Ding Shasha liu yuzhuo Yang Linlin Shi Yongqiang Zhang Jingkun yu Haoqiang Song Yingge Shi Siyu Lu College of Chemistry Pingyuan Laboratory Zhengzhou University Henan Institute of Advanced Technology Zhengzhou University

In the fields of biomedicine, detection, and anti-counterfeiting, there is a widespread demand for cost-effective, easily synthesized, and environmentally friendly near-infrared(NIR) materials. Carbon dots(CDs), a cheap and non-toxic zero-dimensional carbon nanomaterial exhibiting exceptional photoluminescence(PL) properties and facile structural modification, have emerged as a promising candidate for the development of novel NIR materials. This study presents the synthesis of CDs capable of emitting a wide range of wavelengths from blue to NIR(456–836 nm) as their concentrations increase. The incorporation of oxygen and nitrogen co-doped atoms facilitates the optimization of non-coplanar angles, thereby promoting favorable π-πstacking interactions. This leads to the formation of metal-free rigid clusters through interconnecting adjacent nanoparticles in a gear-like meshing pattern through self-assembly. Consequently, intramolecular motion is constrained, vibration coupling is mitigated, non-radiative transition losses are minimized, and efficient NIR emission from CD clusters in high concentrations is ensured. Furthermore, NIR light-emitting diode(NIR LED) based on the CD clusters was successfully fabricated and employed for various applications including information encryption, anti-counterfeiting, and penetration detection in the field of NIR imaging.

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Modification strategies on nickel-based electrocatalysts for energyefficient anodic reactions

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Nano Research 2025年第1期18卷 50-75页

作者： Jingwen yu yunliang liu Naiyun liu Yaxi Li yuanyuan Cheng Peng Cao Yixian liu Xinya yuan Xinyue Zhang Haitao Li Institute for Energy Research School of Chemistry and Chemical EngineeringJiangsu UniversityZhenjiang 212013China

Electrocatalytic chemical oxidation(ECO)is an energy-efficient anodic reaction alternative to the oxygen evolution reaction(OER).ECO lowers the reaction potential and yields higher-value fine chemicals at the *** catalyst material plays a crucial role in influencing and determining ECO *** catalyst performance encompasses aspects such as activity,stability,selectivity and *** electrocatalysts have garnered significant attention for their exceptional performance and widespread use in ECO *** modifying nickel-based electrocatalysts,the formation of NiOOH active centers can be *** such as adjusting size and morphology,doping,introducing defects and constructing heterojunctions are advantageous for enhancing *** the rapid advancements in related research fields,it is imperative to comprehend the mechanisms of nickel-based electrocatalysts in ECO and develop innovative *** article provides an overview of the modification strategies of nickel-based electrocatalysts,as well as their applications and mechanisms in ECO.

关键词： anodic reactions electrocatalytic chemical oxidation nickel-based electrocatalysts NiOOH modification strategies

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Surface analysis of tablets with and without coating film for common cold based on laser-induced breakdown spectroscopy

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Optoelectronics Letters 2025年

作者： YAO Lixing LI Jingwen liu yu SHEN Li WANG Cong Tianjin Key Laboratory of Quantum Optics and Intelligent Photonics， School of Science， Tianjin University of Technology

Medications for common cold are used routinely in daily life， and most of these are compounded to be more effective for people suffering from common cold. The composition and quality of the coating， a common component of tablets， have been of great concern. In this paper， laser-induced breakdown spectroscopy (LIBS)， with advantages of rapid， real-time， and in-situ analysis， was used for surface analysis of tablets with and without coating film for common cold. Firstly， the spectra of compound paracetamol and amantadine hydrochloride tablets (CPAHT) and compound diclofenac sodium and chlorphenamine maleate tablets (CDSCMT)， without and with coating film， respectively， were analyzed. Secondly， two kinds of tablets were investigated in-situ at depth to analyze the changes of atomic and molecular spectral line intensities under different number of laser pulses and verified using LIBS imaging method. Finally， the Ca and Ti elements in CDSCMT were analyzed by calibration free LIBS (CF-LIBS) to further verify the elemental content differences at different depth in the tablets with coating film. These results indicate that the LIBS technology can be used in fast， in-situ， depth， and multi-element detection for cold medication tablets.

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Composite-mask GAN based on refined optical flow and disparity map for SLAM visual odometry

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Optoelectronics Letters 2025年

作者： JI yuehui JIANG Jingwei liu Junjie SONG yu GAO Qiang School of Electrical Engineering and Automation， Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Application for Complex Systems

Although deep learning methods have been widely applied in slam visual odometry over the past decade with impressive improvements， the accuracy remains limited in complex dynamic environments. In this paper， a composite mask-based generative adversarial network is introduced to predict camera motion and binocular depth maps. Specifically， a perceptual generator is constructed to obtain the corresponding parallax map and optical flow from between two neighboring frames. Then， an iterative pose improvement strategy is proposed to improve the accuracy of pose estimation. Finally， a composite mask is embedded in the discriminator to sense structural deformation in the synthesized virtual image， thereby increasing the overall structural constraints of the network model， improving the accuracy of camera pose estimation， and reducing drift issues in the Visual Odometer. Detailed quantitative and qualitative evaluations on the KITTI dataset show that the proposed framework outperforms existing conventional， supervised learning and unsupervised depth VO methods， providing better results in both pose estimation and depth estimation.

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一种基于视线矢量的双星系统自主导航方法研究

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系统仿真学报 2009年第13期21卷 4088-4091,4096页

作者：常晓华崔祜涛崔平远刘宇飞哈尔滨工业大学深空探测基础研究中心哈尔滨150001

研究了近地绕飞双星系统的自主定轨问题,设计了一种基于相对视线矢量测量的自主导航方法。本方法利用导航相机观测双星之间的相对视线矢量,并转化为相机坐标系下的像元像线,从而得到导航系统的量测模型;然后结合卫星的轨道动力学方程,... 详细信息

研究了近地绕飞双星系统的自主定轨问题,设计了一种基于相对视线矢量测量的自主导航方法。本方法利用导航相机观测双星之间的相对视线矢量,并转化为相机坐标系下的像元像线,从而得到导航系统的量测模型;然后结合卫星的轨道动力学方程,通过扩展卡尔曼滤波算法精确估计双星在地心惯性系下的位置和速度共12个分量。最后,通过数学仿真验证了此导航方法的可行性。

关键词：自主定轨视线矢量 EKF滤波导航相机

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基于倒阶比谱的滚动轴承故障诊断

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大连交通大学学报 2017年第5期38卷 50-53页

作者：田丽苑宇赵兴刘芝博大连交通大学机械工程学院辽宁大连116028 大连交通大学动车运用与维护工程学院辽宁大连116028

为从变速滚动轴承振动信号中提取轴承故障特征,利用了基于倒阶比分析的诊断方法.该方法利用计算阶比跟踪算法,采集转速信号和振动信号,并对振动信号进行角度域重采样,获得角度增量恒定的角度域周期平稳信号,再进行倒谱分析,最后依据倒... 详细信息

为从变速滚动轴承振动信号中提取轴承故障特征,利用了基于倒阶比分析的诊断方法.该方法利用计算阶比跟踪算法,采集转速信号和振动信号,并对振动信号进行角度域重采样,获得角度增量恒定的角度域周期平稳信号,再进行倒谱分析,最后依据倒阶比谱分析结果进行故障识别和诊断.由于阶比分析能将非平稳时域信号转换为平稳的角度域信号,而倒谱分析能很好的抑制频率模糊,所以将阶比分析和倒谱分析相结合,充分利用二者优点,能从干扰中准确识别故障特征,适合于变速滚动轴承信号的故障特征提取.实验证明该方法有效,能够提取变转速滚动轴承故障特征,具有一定的工程应用价值.

关键词：倒阶比谱角度域重采样故障诊断虚拟仪器

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Unlocking the future:Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

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World Journal of Clinical Oncology 2025年第1期16卷 43-52页

作者： Zhi-Jian Tang yuan-Ming Pan Wei Li Rui-Qiong Ma Jian-liu Wang Department of Obstetrics and Gynecology Peking University People’s HospitalBeijing 100044China Cancer Research Center Beijing Chest HospitalBeijing 101149China Department of Thoracic Surgery Sichuan Provincial People's HospitalChengdu 610072Sichuan ProvinceChina

BACKGROUND Mitochondrial genes are involved in tumor metabolism in ovarian cancer(OC)and affect immune cell infiltration and treatment *** To predict prognosis and immunotherapy response in patients diagnosed with OC using mitochondrial genes and neural *** Prognosis,immunotherapy efficacy,and next-generation sequencing data of patients with OC were downloaded from The Cancer Genome Atlas and Gene Expression *** genes were sourced from the MitoCarta3.0 *** discovery cohort for model construction was created from 70% of the patients,whereas the remaining 30% constituted the validation *** the expression of mitochondrial genes as the predictor variable and based on neural network algorithm,the overall survival time and immunotherapy efficacy(complete or partial response)of patients were *** In total,375 patients with OC were included to construct the prognostic model,and 26 patients were included to construct the immune efficacy *** average area under the receiver operating characteristic curve of the prognostic model was 0.7268[95% confidence interval(CI):0.7258-0.7278]in the discovery cohort and 0.6475(95%CI:0.6466-0.6484)in the validation *** average area under the receiver operating characteristic curve of the immunotherapy efficacy model was 0.9444(95%CI:0.8333-1.0000)in the discovery cohort and 0.9167(95%CI:0.6667-1.0000)in the validation *** The application of mitochondrial genes and neural networks has the potential to predict prognosis and immunotherapy response in patients with OC,providing valuable insights into personalized treatment strategies.

关键词： Ovarian cancer Mitochondria Prognosis Immunotherapy Neural network

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Intelligent interaction system based on multimodal conformal triboelectric nanogenerator patch for disabled sports and life

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Science China Technological Sciences 2025年

作者： yuzhang WEN Mengqi ZHANG Zhenning XIE Zida AN Bing liu Fengxin SUN Tianming ZHAO Zuojun yu Fei WANG yupeng MAO Physical Education Department Northeastern University(Shenyang) Faculty of Robot Science and Engineering Northeastern University Criminal Investigation Police University of China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China Ice Sports College Beijing Sport University

Intelligent interaction technology based on advanced sensing units has become a research hotspot. In this paper, an intelligent interaction system (IIS) based on a multimodal conformal triboelectric nanogenerator patch (MCTP) is reported for sports monitoring and life promotion of the disabled. This IIS consists of a cloud-based smart sports recognition program and a smart life application. The porous micro-reinforced structure of polyurethane (PU) Sponge&Ecoflex, and the surface modification of PTFE by coating it with MXene endows the MCTP with excellent electrical properties. It shows good angle and force sensitivities of 1.1 V/°and 1.61 V/N, respectively, and has an ultra-fast response time of 15 ms, meeting the needs of human motion monitoring. The MCTP can also capture the mechanical energy, producing a maximum output power of 139μ*** with the commercial inertial measuring unit (IMU), the MCTP shows better consistency in human joint angle sensing. A precise analysis of wheelchair curling sports monitoring points is achieved by combining the MCTP and the human anatomy model. The cloud-based smart sports recognition program utilizes machine learning to achieve visual feedback on the three throwing technologies of draw, takeout and clearing. In addition, the developed smart life application uses a highsensitivity MCTP-sensor array design to achieve a variety of smart home interactions through simple finger touches. Overall,the IIS integrates the three major functions of smart sports sensing, energy capture, and smart home control, providing important application prospects in the fields of smart sports and human-computer interaction for the disabled.

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