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Localized high-concentration electrolytes for lithium metal batteries:progress and prospect

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Frontiers of Chemical Science and Engineering 2023年第10期17卷 1354-1371页

作者： jia-xin Guo Wen-Bo Tang Xiaosong xiong He Liu Tao Wang Yuping Wu xin-Bing Cheng School of Energy and Environment Southeast UniversityNanjing 211189China School of Chemistry and Materials Science Nanjing University of Information Science and TechnologyNanjing 210044China

With the increasing development of digital devices and electric vehicles,high energy-density rechargeable batteries are strongly *** one of the most promising anode materials with an ultrahigh specific capacity and extremely low electrode potential,lithium metal is greatly considered an ideal candidate for nextgeneration battery ***,limited Coulombic efficiency and potential safety risks severely hinder the practical applications of lithium metal batteries due to the inevitable growth of lithium dendrites and poor interface *** efforts have been explored to address these challenges,mainly focusing on the design of novel ***,we provide an overview of the recent developments of localized high-concentration electrolytes in lithium metal ***,the solvation structures and physicochemical properties of localized high-concentration electrolytes are ***,the developments of localized high-concentration electrolytes to suppress the formation of dendritic lithium,broaden the voltage window of electrolytes,enhance safety,and render low-temperature operation for robust lithium metal batteries are ***,the remaining challenges and further possible research directions for localized highconcentration electrolytes are outlined,which can promisingly render the practical applications of lithium metal batteries.

关键词： high-concentration electrolyte localized high-concentration electrolyte lithium metal battery solid electrolyte interphase dendrite

Temporal and spatial variations in extreme temperatures in the Qilian Mountains-Hexi Corridor over the period 1960-2013

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Journal of Mountain Science 2016年第12期13卷 2224-2236页

作者： jia Wen-xiong College of Geography and Environment Science Northwest Normal University

Based on daily maximum and minimum temperatures at 18 meteorological stations in the Qilian Mountains and Hexi Corridor between 1960 and 2013,temporal and spatial variations in extreme temperatures were analysed using linear trends,tenpoint moving averages and the Mann-Kendall *** results are as follows:The trends in the majority of the extreme temperature indices were statistically significant,and the changes in the extreme temperatures were more obvious than the changes in the extreme *** trends were different for each season,and the changes in rates and intensities in summer and autumn were larger than those in spring and *** the cold indices,the magnitudes and trends of the changes in the warm indices were larger and more significant in the Hexi Corridor than in the Qilian *** changes were detected in the majority of the extreme temperature indices,and the extreme cold indices usually occurred earlier than the changes in the extreme warm *** abrupt changes in the extreme temperatures in winter were the earliest among the four seasons,indicating that these temperature changes were the most sensitive to global climate *** timing of the abrupt changes in certain indices was consistent throughout the study area,but the changes in the cold indices in the Hexi Corridor occurred approximately four years before those in the Qilian ***,the changes in the warm indices in the western Hexi Corridor preceded those of the other regions.

关键词： Extreme temperature Interannual change Climate change Qilian Mountains Hexi Corridor

The Logarithmic Capacitary Minkowski Problem for Polytopes

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Acta Mathematica Sinica,English Series 2022年第2期38卷 406-418页

作者： Ge xiong jia Wei xiong School of Mathematical Sciences Tongji UniversityShanghai 200092P.R.China School of Mathematics and Statistics Ningbo UniversityNingbo 315211P.R.China

The logarithmic capacitary Minkowski problem asks for necessary and sufficient conditions on a finite Borel measure on the unit sphere so that it is the logarithmic capacitary measure of a convex *** article completel... 详细信息

关键词： Minkowski problem capacity polytope general position

AZD1775 synergizes with SLC7A11 inhibition to promote ferroptosis

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Science China Life Sciences 2025年第1期 204-218页

作者： Chen xiong Hong Ling Yingdan Huang Hanzhi Dong Bangxiang Xie Qian Hao Xiang Zhou Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University Department of Oncology Shanghai Medical CollegeFudan University Department of Breast Surgery Fudan University Shanghai Cancer CenterFudan University Department of Oncology First Affiliated Hospital of Nanchang University Beijing Institute of Hepatology Beijing Youan HospitalCapital Medical University Beijing Engineering Research Center for Precision Medicine and Transformation of Hepatitis and Liver Cancer Key Laboratory of Breast Cancer in Shanghai Fudan University Shanghai Cancer CenterFudan University Shanghai Key Laboratory of Medical Epigenetics International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology)Institutes of Biomedical SciencesFudan University

Tumor suppressor p53-mediated cell cycle arrest and DNA damage repair may exert cytoprotective effects against cancer therapies, including WEE1 inhibition. Considering that p53 activation can also lead to multiple types of cell death, the role of this tumor suppressor in WEE1 inhibitor-based therapies remains disputed. In this study, we reported that nucleolar stress-mediated p53 activation enhanced the WEE1 inhibitor AZD1775-induced ferroptosis to suppress lung cancer growth. Our findings showed that AZD1775 promoted ferroptosis by blocking cystine uptake, an action similar to that of Erastin. Meanwhile, inhibition of WEE1 by the WEE1 inhibitors or si RNAs induced compensatory upregulation of SLC7A11, which conferred resistance to ferroptosis. Mechanistically, AZD1775 prevented the enrichment of H3K9me3, a histone marker of transcriptional repression, on the SLC7A11 promoter by repressing the expression of the histone methyltransferase SETDB1, thereby enhancing NRF2-mediated SLC7A11 transcription. This finding was also validated using the H3K9me3 inhibitor BRD4770. Remarkably, we found that the nucleolar stress-inducing agent Actinomycin D(Act. D) inhibited SLC7A11 expression by activating p53, thus augmenting AZD1775-induced ferroptosis. Moreover, the combination of AZD1775 and Act. D synergistically suppressed wild-type p53-harboring lung cancer cell growth both in vitro and in vivo. Altogether, our study demonstrates that AZD1775 promotes ferroptosis by targeting cystine uptake but also mediates the adaptive activation of SLC7A11 through the WEE1-SETDB1 cascade and NRF2-induced transcription, and inhibition of SLC7A11 by Act. D boosts the anti-tumor efficacy of AZD1775 by enhancing ferroptosis in cancers with wild-type p53.

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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

Optimal Time Decay of Navier–Stokes Equations with Low Regularity Initial Data

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Acta Mathematica Sinica,English Series 2018年第5期34卷 855-872页

作者： Jun xiong jia Department of Mathematics Xi’an Jiaotong University Beijing Center for Mathematics and Information Interdisciplinary Sciences (BCMIIS)

In this paper, we study the optimal time decay rate of isentropic Navier-Stokes equations under the low regularity assumptions about initial data. In the previous works about optimal time decay rate, the initial data need to be small in H^[N/2]＋2（R^N）. Our work combined negative Besov space estimates and the conventional energy estimates in Besov space framework which is developed by Danchim Through our methods, we can get optimal time decay rate with initial data just small in B^N/2-1,N/2＋1∩^N/2-1,N/2 and belong to some negative Besov space （need not to be small）. Finally, combining the recent results in [25] with our methods, we only need the initial data to be small in homogeneous Besov space B^N/2-2,N/2 ∩B^N/2-1 to get the optimal time decay rate in space L2.

关键词： Compressible fluids besov space framework optimal time decay negative Besov space

Adaptive-basis decomposition-based low-rank network for efficient non-uniform motion deblurring

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Optoelectronics Letters 2025年第1期21卷 43-50页

作者： CHEN Lei xiong Qingbo ZHANG Wei LI Runde School of Software Henan University School of Applied Technology China University of Labor Relations

In this study, we present a unified sparsity-driven framework that significantly enhances motion deblurring performance by integrating two key components: a custom-designed dataset and a low-rank module(LRM). This framework leverages the inherent sparsity of per-pixel blur kernels to bolster both deblurring accuracy and model interpretability. Firstly, we propose an adaptive-basis decomposition-based deblurring(ADD) approach, which constructs a tailored training dataset to enhance the generalization capacity of the deblurring network. The ADD framework adaptively decomposes motion blur into sparse basis elements, effectively addressing the intricacies associated with non-uniform blurs. Secondly, an LRM is proposed to improve the interpretability of deblurring models as a plug-and-play module, primarily designed to identify and harness the intrinsic sparse features in sharp images. A series of ablation studies have been conducted to substantiate the synergistic advantages of combining the proposed ADD with the LRM for overall improvement in deblurring efficacy. Subsequently, we empirically demonstrate through rigorous experimentation that incorporating the LRM into an existing Uformer network leads to substantial enhancement in reconstruction performance. This integration yields a sparsity-guided low-rank network(SGLRN). Operating under the overarching principle of sparsity, SGLRN consistently outperforms state-of-the-art methods across multiple standard deblurring benchmarks. Comprehensive experimental results, assessed through quantitative metrics and qualitative visual evaluations, provide compelling evidence of its effectiveness. The overall deblurring results are available at Google Drive.

关键词： Image enhancement

Efficacy of Acupuncture Combined with Local Anesthesia in Ischemic Stroke Patients with Carotid Artery Stenting:A Prospective Randomized Trial

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Chinese Journal of Integrative Medicine 2020年第8期26卷 609-616页

作者： xiong Wei ZHAO Chun-mei AN Li-xin XIE Si-ning jia Chun-rong Department of Anesthesiology Beijing Tiantan HospitalCapital Medical UniversityBeijing 100015China Department of Anesthesiology Beijing Friendship HospitalCapital Medical UniversityBeijing 100050China Department of Traditional Chinese Medicine Beijing Tiantan HospitalCapital Medical UniversityBeijing 100015China

Objective:To evaluate the efficacy of electro-acupuncture(EA)or transcutaneous electrical acupoint stimulation(TEAS)on perioperative cerebral blood flow(CBF)and neurological function in ischemic stroke(IS)patients undergoing carotid artery stenting(CAS).Methods:In total,124 consecutive IS patients were randomly allocated to the EA,TEAS,and sham groups(groups A,T,and S;41,42,and 41 cases,respectively)by softwarederived random-number *** A and T received EA and TEAS,respectively,at the Shuigou(GV 26)and Baihui(GV 20),Hegu(LI4)and Waiguan(TE 5)*** S received sham *** stimulation was started from 30 min before surgery until the end of the *** primary outcome was the CBF at 30 min after surgery,which was measured by transcranial Doppler *** secondary outcomes included hyperperfusion incidence and neurological *** Institutes of Health Stroke Scale(NIHSS)and General Evaluation Scale(GES)scores were recorded at 1 week,1 month,and 3 months ***:Mean CBF velocity at 30 min after surgery in groups A and T was much lower than that in Group S(P<0.05);the incidence of hyperperfusion in Groups A and T was also lower than that in group S(P<0.05).Acupuncture was an independent factor associated with reduced incidence of hyperperfusion(OR=0.042;95%CI:0.002–0.785;P=0.034).NIHSS and GES scores improved significantly at 1 week postoperatively in Groups A and T than in Group S(P<0.05).Relative to Group S,groups A and T exhibited significantly lower incidences of moderate pain,as well as higher incidences of satisfaction with anesthesia,at 1 day postoperatively(P<0.05).Conclusion:EA or TEAS administered in combination with local anesthesia during CAS can inhibit transient increases in CBF,reduce the incidence of postoperative hyperperfusion,and improve neurological function.

关键词： electro-acupuncture transcutaneous electrical acupoint stimulation carotid artery stenting cerebral blood flow neurological function

An enhanced method for estimating snow water equivalent in the central part of the Tibetan Plateau using raster segmentation and eigenvector spatial filtering regression model

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Journal of Mountain Science 2022年第9期19卷 2570-2586页

作者： CHENG Qi-shan CHEN Yu-min YANG jia-xin CHEN Yue-jun xiong Zhe-xin ZHOU An-nan School of Resource and Environment Science Wuhan UniversityWuhan 430079China Guangzhou Urban Planning&Design Survey Research Institute Guangzhou 510060China

Snow water equivalent(SWE)is an important factor reflecting the variability of *** is important to estimate SWE based on remote sensing data while taking spatial autocorrelation into *** on the segmentation method,the relationship between SWE and environmental factors in the central part of the Tibetan Plateau was explored using the eigenvector spatial filtering(ESF)regression model,and the influence of different factors on the SWE was *** sizes of 16×16,24×24 and 32×32 were selected to segment raster datasets into *** eigenvectors of the spatial adjacency matrix of the segmented size were selected to be added into the model as spatial factors,and the ESF regression model was constructed for each block in *** show that precipitation has a great influence on SWE,while surface temperature and NDVI have little *** temperature,elevation and surface temperature have completely different effects in different *** with the ordinary least square(OLS)linear regression model,geographically weighted regression(GWR)model,spatial lag model(SLM)and spatial error model(SEM),ESF model can eliminate spatial autocorrelation with the highest *** the segmentation size increases,the complexity of ESF model increases,but the accuracy is improved.

关键词： Snow water equivalent Tibetan Plateau Raster segmentation Parallel eigenvector spatial filtering