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Communications in Theoretical Physics 2006年第4X期46卷 656-662页

作者： GE Jian-Ya WANG rui-Min dai Chao-Qing ZHANG jie-Fang Normal Department of Humanities College of Jinhua Professional Technology Jinhua 321000 China Institute of Nonlinear Physics Zhejiang Normal University Jinhua 321004 China

In this paper, by means of the variable-coefficient mapping method based on elliptical equation, we obtain explicit solutions of nonlinear Schrodinger equation with variable-coefficient. These solutions include Jacobian elliptic function solutions, solitary wave solutions, soliton-like solutions, and trigonometric function solutions, among which some are found for the first time. Six figures are given to illustrate some features of these solutions. The method can be applied to other nonlinear evolution equations in mathematical physics.

关键词： variable-coefficient mapping method based on elliptical equation nonlinear Schrodinger equation Jacobian elliptic function solutions solitonic solutions trigonometric function solutions

Evolving molecular subtyping of breast cancer advances precision treatment

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Cancer Biology & Medicine 2024年第9期21卷 731-739页

作者： rui Shan Lei-jie dai Zhi-Ming Shao Yi-Zhou Jiang Department of Breast Surgery Fudan University Shanghai Cancer CenterShanghai 200032China Department of Oncology Shanghai Medical CollegeFudan UniversityShanghai 200032China

Breast cancer is the second most prevalent cancer *** 2022,approximately 2.3 million newly diagnosed cases of female breast cancer occurred worldwide,and more than 665 thousand people lost their lives to this disease^... 详细信息

关键词： breast cancer Breast

山东省东部地区浅层地下水地球化学特征及环境质量评价

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物探与化探 2012年第2期36卷 277-282页

作者：代杰瑞王存龙庞绪贵曾宪东陈磊郑伟军山东省地质调查院山东济南250013

以山东省东部地区农业生态地球化学调查中浅层地下水数据为基础,对分析测试的29项指标的地球化学特征进行了研究。调查区浅层地下水中,Mo、Pb、Mn、Fe、Cl-、NO2-、总硬度等含量变化较大,导致局部水质变差;其他指标含量变化较小,在浅层... 详细信息

以山东省东部地区农业生态地球化学调查中浅层地下水数据为基础,对分析测试的29项指标的地球化学特征进行了研究。调查区浅层地下水中,Mo、Pb、Mn、Fe、Cl-、NO2-、总硬度等含量变化较大,导致局部水质变差;其他指标含量变化较小,在浅层地下水中分布均匀。参照我国地下水质量标准和生活饮用水质量标准,对本区浅层地下水进行了单因子与综合环境质量评价,该区不可直接饮用的浅层地下水占44.88%,综合环境质量较差;地下水污染多发生在主要城市、工矿企业及其周边地区;单指标水污染呈点(源)状、线状分布,主要超标指标为总硬度、溶解性总固体、高锰酸钾指数、NO2-、Cl-、F-、Mn、Fe。重点探讨了高密北部高氟浅层地下水形成的原因,为区内高氟水治理及地氟病防治提供了依据。

关键词：地球化学特征水质评价地质环境评价浅层地下水山东东部地区

Pairwise tagging framework for end-to-end emotion-cause pair extraction

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Frontiers of Computer Science 2023年第2期17卷 111-120页

作者： Zhen WU Xinyu dai rui XIA National Key Laboratory for Novel Software Technology Nanjing UniversityNanjing 210023China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210023China

Emotion-cause pair extraction(ECPE)aims to extract all the pairs of emotions and corresponding causes in a *** generally contains three subtasks,emotions extraction,causes extraction,and causal relations detection between emotions and *** works adopt pipelined approaches or multi-task learning to address the ECPE ***,the pipelined approaches easily suffer from error propagation in real-world *** multi-task learning cannot optimize all tasks globally and may lead to suboptimal extraction *** address these issues,we propose a novel framework,Pairwise Tagging Framework(PTF),tackling the complete emotion-cause pair extraction in one unified tagging *** prior works,PTF innovatively transforms all subtasks of ECPE,i.e.,emotions extraction,causes extraction,and causal relations detection between emotions and causes,into one unified clause-pair tagging *** this unified tagging task,we can optimize the ECPE task globally and extract more accurate emotion-cause *** validate the feasibility and effectiveness of PTF,we design an end-to-end PTF-based neural network and conduct experiments on the ECPE benchmark *** experimental results show that our method outperforms pipelined approaches significantly and typical multi-task learning approaches.

关键词： emotion-cause pair extraction pairwise tagging framework end-to-end neural network

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InSe单层中点缺陷的第一性原理研究

原子与分子物理学报 2025年第6期42卷 167-173页

作者：何诗颖谢瑞恬刘娟邹代峰赵宇清许英廖雨洁湖南科技大学物理与电子科学学院湘潭411201 智能传感器与新型传感器材料湖南省重点实验室湘潭411201 山西大学化学化工学院太原030006 武汉大学动力与机械学院武汉430072

InSe是Ⅲ-Ⅵ族化合物中的主要成员,由于其具有优异的电学性能,在太阳能电池、固体电池组等领域受到广泛的关注.光电材料及器件的优良特性由电子结构决定,而Ⅲ-Ⅵ族化合物中的点缺陷对电子结构具有重要的调控,且单层InSe中点缺陷的Perdew... 详细信息

InSe是Ⅲ-Ⅵ族化合物中的主要成员,由于其具有优异的电学性能,在太阳能电池、固体电池组等领域受到广泛的关注.光电材料及器件的优良特性由电子结构决定,而Ⅲ-Ⅵ族化合物中的点缺陷对电子结构具有重要的调控,且单层InSe中点缺陷的Perdew-Burke-Ernzerhof(PBE)和Heyd-Scuseria-Ernzerhof(HSE)对比研究尚且缺乏.本文基于密度泛函理论的第一性原理计算,对单层InSe的硒空位、铟空位、溴替代硒、硫替代硒、碲替代硒、镓替代铟、锡替代铟和铊替代铟的缺陷形成能和稳定性进行了研究.结果表明:在缺铟和富铟条件下,硫替代硒和镓替代铟的缺陷形成能低且可以有效的降低体系总能,提高体系的稳定性.溴替代硒具有较小的缺陷形成能,但较大的体系总能表明溴替代硒的缺陷体系不稳定.在缺铟条件下易形成铊替代铟缺陷;在富铟条件下易形成碲替代硒缺陷.上述研究结果有助于理解点缺陷对Ⅲ-Ⅵ族化合物稳定性的影响,同时也为未来实验上设计基于InSe的高效的光电子器件提供理论依据.

关键词：单层InSe 稳定性形成能点缺陷

山东省平阴县土壤地球化学元素含量特征与污染评价

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上海地质 2010年第B11期31卷 114-117,132页

作者：庞绪贵曹秀华代杰瑞刘福魁胡雪平山东省地质调查院山东济南250013 山东省物化探勘查院山东济南250013

调查按1km^2采1件表层样,4km^2组合成分析样,4km^2采1件深层样,16km^2组合成分析样,测试Ag,As,B等54项指标;研究土壤地球化学参数特征,探讨元素的丰缺及其对环境的影响,选择重金属和有害元素采用内梅罗综合污染指数法对土壤污染现状进... 详细信息

调查按1km^2采1件表层样,4km^2组合成分析样,4km^2采1件深层样,16km^2组合成分析样,测试Ag,As,B等54项指标;研究土壤地球化学参数特征,探讨元素的丰缺及其对环境的影响,选择重金属和有害元素采用内梅罗综合污染指数法对土壤污染现状进行评价;认为区内大部分指标在表层土壤中的含量继承了土壤母质,后期人类活动对其影响较小,但C,Cd,Cl,Hg,P,N,S,Se,Corg等指标在表层土壤中已明显富集,部分地段土壤出现中度以上污染,表明人类活动等因素已对这些指标的分布分配产生了影响。

关键词：生态地球化学背景值基准值临界值污染指数平阴县

Transportation Inequalities for Stochastic Heat Equation with Rough Dependence in Space

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Acta Mathematica Sinica,English Series 2022年第11期38卷 2019-2038页

作者： Yin dai rui Nan LI School of Mathematics and Statistics Wuhan UniversityWuhan 430072P.R.China School of Statistics and Information Shanghai University of International Business and EconomicsShanghai 201620P.R.China

In this paper,we prove a Talagrand’s T2 transportation cost-information inequality for the law of the nonlinear one-dimensional stochastic heat equation driven by a Gaussian noise,which is white in time and which has the covariance of a fractional Brownian motion with Hurst parameter H∈(1/4,1/2)in the space variable,on the continuous path space with respect to the weighted L2-norm.

关键词： Stochastic heat equation transportation inequality Girsanov’s transformation fractional Brownian motion

Synthesis and Crystal Structure of a New cis-Dioxovanadium (V) Complex with Pyruvic Acid Isonicotinyl Hydrazone (PAINH)

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Chinese Journal of Structural Chemistry 2006年第2期25卷 219-223页

作者： CHEN rui-Jin ZHOU Yin-Zhuang HU dai-Di TU Shu-jie XIAO Ling-Mei DePartment of Chemistry Capital Normal University Beijing 100037 China

A new cis-dioxovanadium （V） complex [VO2（C9H8N3O3）]（C5H5N） involving a carboxyl group coordination employing a tridentate Schiff Base derived from pyruvic acid and isonicotinyl hydrazide is reported. This complex crystallizes in triclinic, space group P1^- with a = 7.3522 （12）, b = 7.8376（13）, c = 14.898（2） ,A°, a = 84.010（2）, β = 86.568（2）, γ= 64.586（2）°, V = 771.1（2）A °^3 ,Z = 2, F（000） = 376, Mr = 368.22, D, = 1.586 g/cm^3, g = 0.677 mm ^-1, R = 0.0421 and wR = 0.1253. The vanadium atom of the dioxovanadium （V） is five-coordinated to furnish a distorted trigonal bipyramid geometry.

关键词： dioxovanadium complex pyruvic acid isonicotinyl hydrazone (PAINH),crystal structure

Human-induced pluripotent stem cell-derived neural stem cell exosomes improve blood-brain barrier function after intracerebral hemorrhage by activating astrocytes via PI3K/AKT/MCP-1 axis

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Neural Regeneration Research 2025年第2期20卷 518-532页

作者： Conglin Wang Fangyuan Cheng Zhaoli Han Bo Yan Pan Liao Zhenyu Yin Xintong Ge dai Li Rongrong Zhong Qiang Liu Fanglian Chen Ping Lei Department of Geriatrics Tianjin Medical University General HospitalTianjinChina School of Medicine Nankai UniversityTianjinChina Tianjin Neurological Institute TianjinChina

Cerebral edema caused by blood-brain barrier injury after intracerebral hemorrhage is an important factor leading to poor ***-induced pluripotent stem cell-derived neural stem cell exosomes(hiPSC-NSC-Exos)have shown potential for brain injury repair in central nervous system *** this study,we explored the impact of hiPSC-NSC-Exos on blood-brain barrier preservation and the underlying *** results indicated that intranasal delivery of hiPSC-NSC-Exos mitigated neurological deficits,enhanced blood-brain barrier integrity,and reduced leukocyte infiltration in a mouse model of intracerebral ***,hiPSC-NSC-Exos decreased immune cell infiltration,activated astrocytes,and decreased the secretion of inflammatory cytokines like monocyte chemoattractant protein-1,macrophage inflammatory protein-1α,and tumor necrosis factor-αpost-intracerebral hemorrhage,thereby improving the inflammatory *** sequencing indicated that hiPSC-NSC-Exo activated the PI3K/AKT signaling pathway in astrocytes and decreased monocyte chemoattractant protein-1 secretion,thereby improving blood-brain barrier *** with the PI3K/AKT inhibitor LY294002 or the monocyte chemoattractant protein-1 neutralizing agent C1142 abolished these *** summary,our findings suggest that hiPSC-NSC-Exos maintains blood-brain barrier integrity,in part by downregulating monocyte chemoattractant protein-1 secretion through activation of the PI3K/AKT signaling pathway in astrocytes.

关键词： AKT astrocyte blood-brain barrier cerebral edema exosomes human-induced pluripotent stem cells intracerebral hemorrhage neural stem cells neuroinflammation PI3K

Early identification of stroke through deep learning with multi-modal human speech and movement data

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Neural Regeneration Research 2025年第1期20卷 234-241页

作者： Zijun Ou Haitao Wang Bin Zhang Haobang Liang Bei Hu Longlong Ren Yanjuan Liu Yuhu Zhang Chengbo dai Hejun Wu Weifeng Li Xin Li School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Neurology Guangdong Neuroscience InstituteGuangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Emergency Medicine Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong ProvinceChina

Early identification and treatment of stroke can greatly improve patient outcomes and quality of *** clinical tests such as the Cincinnati Pre-hospital Stroke Scale(CPSS)and the Face Arm Speech Test(FAST)are commonly used for stroke screening,accurate administration is dependent on specialized *** this study,we proposed a novel multimodal deep learning approach,based on the FAST,for assessing suspected stroke patients exhibiting symptoms such as limb weakness,facial paresis,and speech disorders in acute *** collected a dataset comprising videos and audio recordings of emergency room patients performing designated limb movements,facial expressions,and speech tests based on the *** compared the constructed deep learning model,which was designed to process multi-modal datasets,with six prior models that achieved good action classification performance,including the I3D,SlowFast,X3D,TPN,TimeSformer,and *** found that the findings of our deep learning model had a higher clinical value compared with the other ***,the multi-modal model outperformed its single-module variants,highlighting the benefit of utilizing multiple types of patient data,such as action videos and speech *** results indicate that a multi-modal deep learning model combined with the FAST could greatly improve the accuracy and sensitivity of early stroke identification of stroke,thus providing a practical and powerful tool for assessing stroke patients in an emergency clinical setting.

关键词： artificial intelligence deep learning diagnosis early detection FAST screening stroke