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Alkali cation intercalation manganese phosphate hydrate boosting electrochemical kinetics for pseudocapacitive energy storage

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Journal of Materiomics 2022年第4期8卷 833-842页

作者： Xu Bao wei-Bin Zhang Lun Zhang Yao-Wen Guo Xia Zhou Xian-Li Zhang xiong-wei han Jianping Long College of Materials and Chemistry&Chemical Engineering Chengdu University of TechnologyChengdu610059China

New insight into the effect on the alkali cations of Liþ,Naþ,and Kþpre-intercalated between adjacent layers of Mn3(PO4)2$3H2O towards the charge storage mechanism and their electrochemical kinetics of intercalation/deintercalation in three alkali electrolytes is *** electrochemical perfor-mance of the designed LieMn3(PO4)2$3H2O material outperforms that most of Mn-based pseudocapa-citive electrode *** designed unique stratified structure is attractive for quick charge migration,which confirms that the appropriate pre-intercalation of alkali cation between layers is an efficient strategy to improve kinetics for the high-power density pseudocapacitive supercapacitor energy storage application.

关键词： Manganese phosphate Alkali cation Electrochemical kinetics Pseudocapacitance

Three-dimensional fracture of UO2 ceramic pellets by phase field modeling

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 169-180页

作者： wei xiong Xuan Ye Hongzhang Cheng Xiaoming Liu Institute of Nuclear and New Energy Technology Collaborative Innovation Center of Advanced Nuclear Energy Technology Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education Tsinghua University State Key Laboratory of Nonlinear Mechanics Institute of Mechanics Chinese Academy of Sciences School of Engineering Science University of Chinese Academy of Sciences

Fracture is the primary failure type for the UO2ceramic pellets,which are operated under irradiation and thermal processes,and physically confined by the *** this work,by combining closely coupled physical processes of heat conduction,heat transfer,and mechanical deformation with the cohesive phase field framework,we proposed a high-precision modeling of quasistatic cracking of three-dimensional （3D） UO2ceramic fuel pellets under high temperature and *** simulation results agree well with the experimental results,indicating that the proposed method has the potential to capture 3D crack modes in the interested time ***,we studied the relation of the 3D fracture patterns of fuel pellets with the peak power *** was found that the power level plays a critical role in determining the competition between radial and circumferential cracks,as well as transverse penetrating cracks.

关键词： phase field method nuclear fuel pellet coupled thermo-mechanical model thermal fracture

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

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由单幅图像重构表面形状的B样条变分法研究

计算机辅助设计与图形学学报 2001年第2期13卷 111-117页

作者：熊汉伟张湘伟汕头大学机械电子系汕头515063

针对 SFS(Shape From Shading)问题中的 L agrange乘子难题 ,经过 B样条插值 ,将 SFS问题的可积性、光滑性限制隐含 ,消除 L agrange乘子的不利影响 ,采用 B样条变分法解决了 SFS问题 ;并根据 B样条特殊结构 ,设计了 SFS问题变分格式的... 详细信息

针对 SFS(Shape From Shading)问题中的 L agrange乘子难题 ,经过 B样条插值 ,将 SFS问题的可积性、光滑性限制隐含 ,消除 L agrange乘子的不利影响 ,采用 B样条变分法解决了 SFS问题 ;并根据 B样条特殊结构 ,设计了 SFS问题变分格式的层次基变换共轭梯度加速算法 .初步的计算实例表明 ,此方法在精度、速度上有所提高 ,效果令人满意 .

关键词： B样条变分法灰度恢复形状表面重构图像处理图像重构计算机

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling

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Science China(Information Sciences) 2025年第1期68卷 145-158页

作者： wei JU Yiyang GU Zhengyang MAO Ziyue QIAO Yifang QIN Xiao LUO Hui xiong Ming ZhanG School of Computer Science National Key Laboratory for Multimedia Information ProcessingPeking University Artificial Intelligence Thrust The Hong Kong University of Science and Technology Department of Computer Science University of California

Self-supervised graph representation learning has recently shown considerable promise in a range of fields, including bioinformatics and social networks. A large number of graph contrastive learning approaches have shown promising performance for representation learning on graphs, which train models by maximizing agreement between original graphs and their augmented views(i.e., positive views). Unfortunately, these methods usually involve pre-defined augmentation strategies based on the knowledge of human experts. Moreover, these strategies may fail to generate challenging positive views to provide sufficient supervision signals. In this paper, we present a novel approach named graph pooling contrast(GPS) to address these *** by the fact that graph pooling can adaptively coarsen the graph with the removal of redundancy, we rethink graph pooling and leverage it to automatically generate multi-scale positive views with varying emphasis on providing challenging positives and preserving semantics, i.e., strongly-augmented view and weakly-augmented view. Then, we incorporate both views into a joint contrastive learning framework with similarity learning and consistency learning, where our pooling module is adversarially trained with respect to the encoder for adversarial robustness. Experiments on twelve datasets on both graph classification and transfer learning tasks verify the superiority of the proposed method over its counterparts.

关键词： graph representation learning graph neural networks graph contrastive learning graph augmentations graph pooling

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广义优先关系下工序机动时间的隐形消耗

管理科学学报 2018年第3期21卷 69-81页

作者：苏志雄魏汉英李岚南昌工程学院工商管理学院南昌330099

在带有广义优先关系(generalized precedence relations,简称GPRs)的工序网络中,发现了新的奇异现象.传统观念中,如果某工序的机动时间被消耗,则必然发生在以下两种情况中:1)该工序主动消耗自身机动时间;2)由于该工序的前继工序消耗各... 详细信息

在带有广义优先关系(generalized precedence relations,简称GPRs)的工序网络中,发现了新的奇异现象.传统观念中,如果某工序的机动时间被消耗,则必然发生在以下两种情况中:1)该工序主动消耗自身机动时间;2)由于该工序的前继工序消耗各自的机动时间,导致该工序被动地消耗自身机动时间.然而新发现的奇异现象是,即使脱离上述两种情况,某工序的机动时间也会被消耗.该现象称为工序机动时间的隐性消耗,出现在带有GPRs的工程项目中.在GPRs网络的基础上,研究了该奇异现象的特性,分别针对工序的经典时差和隐性时差,提出了相应的机动时间隐性消耗的量化方法.对于带有GPRs的项目调度问题,工序机动时间隐性消耗的现象会弱化现有的基于机动时间的模型和优化算法,因此,为了进一步提高项目调度的效率和准确性,对该奇异现象的理论研究是不可或缺的.

关键词：工序网络广义优先关系奇异现象机动时间

Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

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Neural Regeneration Research 2025年第1期20卷 159-173页

作者： Man han Deyang Zeng wei Tan Xingxing Chen Shuyuan Bai Qiong Wu Yushan Chen Zhen wei Yufei Mei Yan Zeng Brain Science and Advanced Technology Institute Wuhan University of Science and TechnologyWuhanHubei ProvinceChina Geriatric Hospital Affiliated to Wuhan University of Science and Technology WuhanHubei ProvinceChina School of Public Health Wuhan University of Science and TechnologyWuhanHubei ProvinceChina

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral *** studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly involving the corticolimbic system,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amygdala,and *** how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress *** this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of *** focused on associated molecular pathways and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomyosin receptor kinase B signaling pathway and the ventral tegmental area–nucleus accumbens dopamine *** determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature,severity,and duration of stress,especially in the above-mentioned brain regions of the corticolimbic ***,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

关键词： amygdala chronic mild stress chronic social defeat stress corticolimbic system depression hippocampus medial prefrontal cortex nucleus accumbens social stress models ventral tegmental area

Stiffness-tunable biomaterials provide a good extracellular matrix environment for axon growth and regeneration

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Neural Regeneration Research 2025年第5期20卷 1364-1376页

作者： Ronglin han Lanxin Luo Caiyan wei Yaru Qiao Jiming Xie Xianchao Pan Juan Xing Department of Pathophysiology School of Basic Medical SciencesSouthwest Medical UniversityLuzhouSichuan ProvinceChina Department of Medicinal Chemistry School of PharmacySouthwest Medical UniversityLuzhouSichuan ProvinceChina

Neuronal growth, extension, branching, and formation of neural networks are markedly influenced by the extracellular matrix—a complex network composed of proteins and carbohydrates secreted by cells. In addition to providing physical support for cells, the extracellular matrix also conveys critical mechanical stiffness cues. During the development of the nervous system, extracellular matrix stiffness plays a central role in guiding neuronal growth, particularly in the context of axonal extension, which is crucial for the formation of neural networks. In neural tissue engineering, manipulation of biomaterial stiffness is a promising strategy to provide a permissive environment for the repair and regeneration of injured nervous tissue. Recent research has fine-tuned synthetic biomaterials to fabricate scaffolds that closely replicate the stiffness profiles observed in the nervous system. In this review, we highlight the molecular mechanisms by which extracellular matrix stiffness regulates axonal growth and regeneration. We highlight the progress made in the development of stiffness-tunable biomaterials to emulate in vivo extracellular matrix environments, with an emphasis on their application in neural repair and regeneration, along with a discussion of the current limitations and future prospects. The exploration and optimization of the stiffness-tunable biomaterials has the potential to markedly advance the development of neural tissue engineering.

关键词： alginate axon growth biomaterials extracellular matrix neural repair neurons neuroregeneration polyacrylamide polydimethylsiloxane stiffness

Combination of fruquintinib with venetoclax for the treatment of colorectal cancer

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Oncology Research 2025年第1期33卷 225-234页

作者： wei ZhanG weiCHENG WANG RUI WANG XIAO han LIJUN ZHU WENJIE GUO YANHONG GU Department of Oncology The First Affiliated Hospital of Nanjing Medical UniversityNanjing210029China State Key Laboratory of Pharmaceutical Biotechnology School of Life SciencesNanjing UniversityNanjing210023China Department of Oncology The Affiliated Taizhou People’s Hospital of Nanjing Medical UniversityTaizhou225300China

Background:As a novel blocker of vascular endothelial growth factor receptor(VEGFR),fruquintinib has been approved for treating colorectal cancer(CRC).However,its dosage and therapeutic efficacy are limited by its widespread adverse ***,recognized as the initial inhibitor of B-cell lymphoma protein 2(BCL2),has shown potential in boosting the effectiveness of immunotherapy against *** study investigated the efficacy and mechanisms of fruquintinib combined with venetoclax in treating *** and Materials:We developed a colon cancer mouse model with the CT26 colon cell line to demonstrate fruquintinib and venetoclax’s efficacy against *** we employed various techniques to evaluate different aspects of the experimental *** was used to detect cell proliferation and angiogenesis in tumor *** blot analysis was utilized to examine the occurrence of cell apoptosis,and flow cytometry to quantitate immune cells within the tumor ***,immunofluorescence was employed to measure cytokine ***:The strongest inhibition on tumor growth was achieved by the combination of fruquintinib with venetoclax,as opposed to individual drug *** was found to amplify the impact of fruquintinib,leading to decreased cancer cell proliferation,increased cancer cell apoptosis,lowered angiogenesis,better vascular structure normalization,and improved immune cell ***:Our findings indicate that the addition of venetoclax enhances the impact of fruquintinib on vascular normalization and modulation of the tumor immune *** study presents the justification for utilizing the fruquintinib and venetoclax combination in treating *** holds promise in being assimilated into anticancer medications for CRC.

关键词： Colorectal cancer(CRC) B-cell lymphoma protein 2(BCL2) Venetoclax Vascular endothelial growth factor receptor(VEGFR) Fruquintinib Anti-angiogenesis Immunotherapy