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Boundedness of solutions for a class of semilinear oscillators

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Acta Mathematica Sinica,English Series 2024年

作者： yan zhuang Da Xiong PIAO yan Min NIU Ocean University of China School of Mathematical Sciences

We are concerned with the boundedness for the equation x + f(x, x) + ω2x = p(t), where p is quasi-periodic function. Since the corresponding system is non-Hamiltonian, we transform the original system into a new reversible one, the Poincaré mapping of which satisfies the twist theorem for quasi-periodic reversible mappings of low smoothness, or is close to its linear part by normal form theorem. We then obtain results concerning the boundedness of solutions based on the recently *** above two cases need some smooth and growth assumptions for f and p, which are precisely the innovations of this paper.

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主跨330 m高速铁路无砟轨道混合梁斜拉桥设计

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铁道工程学报 2024年第4期41卷 42-47,59页

作者：庄严中铁第一勘察设计院集团有限公司西安710043

研究目的:为满足防洪及通航要求,南玉高铁百合郁江特大桥采用(36+40+64+330+64+40+36)m钢箱-混凝土混合梁斜拉桥跨越郁江。该桥为目前国内在建最大跨度的高速铁路无砟轨道钢箱-混凝土混合梁斜拉桥。本文主要基于百合郁江特大桥的设计与... 详细信息

研究目的:为满足防洪及通航要求,南玉高铁百合郁江特大桥采用(36+40+64+330+64+40+36)m钢箱-混凝土混合梁斜拉桥跨越郁江。该桥为目前国内在建最大跨度的高速铁路无砟轨道钢箱-混凝土混合梁斜拉桥。本文主要基于百合郁江特大桥的设计与受力特点,通过多种评价方法,探讨在大跨度钢混斜拉桥上铺设无砟轨道适应性,为后续建造同类型无砟轨道桥梁提供理论参考。研究结论:(1)主桥采用钢箱梁与混凝土箱梁,并在钢箱梁顶板上现浇混凝土桥面板,为无砟轨道铺设创造了良好条件,并且能很好地控制后期主梁的收缩徐变变形,提高大跨桥梁对无砟轨道适应性;(2)百合郁江特大桥具有良好的静力性能和刚度条件;(3)主桥将轨道结构高度由725 mm调整为775 mm,分别为底座板和道床板预留了20 mm和30 mm的纠偏量,为后续无砟轨道分级施工和纠偏提供了基础,能更好地将施工与测量误差逐级消除,提高无砟轨道铺设精度;(4)采用多种无砟轨道适应性评价方法对主桥无砟轨道线形进行分析,结论均满足设计要求;(5)该桥的成功实施,为国内外高速铁路无砟轨道桥梁建设提供了宝贵的经验,将进一步推动高速铁路无砟轨道大跨度桥梁的技术发展。

关键词：无砟轨道大跨度钢箱梁混合梁斜拉桥

Unveiling protein corona composition:predicting with resampling embedding and machine learning

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Regenerative Biomaterials 2024年第1期3卷 27-33页

作者： Rong Liao yan zhuang Xiangfeng Li Ke Chen Xingming Wang Cong Feng Guangfu Yin Xiangdong Zhu Jiangli Lin Xingdong Zhang College of Biomedical Engineering National Engineering Research Centre for BiomaterialsSichuan UniversityChengdu610065China

Biomaterials with surface nanostructures effectively enhance protein secretion and stimulate tissue *** nanoparticles(NPs)enter the living system,they quickly interact with proteins in the body fluid,forming the protein corona(PC).The accurate prediction of the PC composition is critical for analyzing the osteoinductivity of biomaterials and guiding the reverse design of ***,achieving accurate predictions remains a significant *** several machine learning(ML)models like Random Forest(RF)have been used for PC prediction,they often fail to consider the extreme values in the abundance region of PC absorption and struggle to improve accuracy due to the imbalanced data *** this study,resampling embedding was introduced to resolve the issue of imbalanced distribution in PC *** ML models were evaluated,and RF model was finally used for prediction,and good correlation coefficient(R^(2))and root-mean-square deviation(RMSE)values were *** ablation experiments demonstrated that the proposed method achieved an R^(2) of 0.68,indicating an improvement of approximately 10%,and an RMSE of 0.90,representing a reduction of approximately 10%.Furthermore,through the verification of label-free quantification of four NPs:hydroxyapatite(HA),titanium dioxide(TiO_(2)),silicon dioxide(SiO_(2))and silver(Ag),and we achieved a prediction performance with an R^(2) value>0.70 using Random ***,the feature analysis revealed that the composition of the PC is most significantly influenced by the incubation plasma concentration,PDI and surface modification.

关键词： nanoparticles protein corona machine learming resampling technique feature analysis

Understanding and improving fairness in cognitive diagnosis

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Science China(Information Sciences) 2024年第5期67卷 99-114页

作者： Zheng ZHANG Le WU Qi LIU Jiayu LIU Zhenya HUANG Yu YIN yan zhuang Weibo GAO Enhong CHEN Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer Science and Technology& School of Data Science University of Science and Technology of China State Key Laboratory of Cognitive Intelligence School of Computer Science and Information Engineering Hefei University of Technology

Intelligent education is a significant application of artificial intelligence. One of the key research topics in intelligence education is cognitive diagnosis, which aims to gauge the level of proficiency among students on specific knowledge concepts(e.g., Geometry). To the best of our knowledge, most of the existing cognitive models primarily focus on improving diagnostic accuracy while rarely considering fairness issues; for instance, the diagnosis of students may be affected by various sensitive attributes(e.g., region). In this paper,we aim to explore fairness in cognitive diagnosis and answer two questions:(1) Are the results of existing cognitive diagnosis models affected by sensitive attributes?(2) If yes, how can we mitigate the impact of sensitive attributes to ensure fair diagnosis results? To this end, we first empirically reveal that several wellknown cognitive diagnosis methods usually lead to unfair performances, and the trend of unfairness varies among different cognitive diagnosis models. Then, we make a theoretical analysis to explain the reasons behind this phenomenon. To resolve the unfairness problem in existing cognitive diagnosis models, we propose a general fairness-aware cognitive diagnosis framework, FairCD. Our fundamental principle involves eliminating the effect of sensitive attributes on student proficiency. To achieve this, we divide student proficiency in existing cognitive diagnosis models into two components: bias proficiency and fair *** design two orthogonal tasks for each of them to ensure that fairness in proficiency remains independent of sensitive attributes and take it as the final diagnosed result. Extensive experiments on the Program for International Student Assessment(PISA) dataset clearly show the effectiveness of our framework.

关键词： fairness intelligent education cognitive diagnosis psychometrics adversarial learning

培育积极向上的社会心态助力特殊学生活出精彩人生——特殊学生积极心理品质研究新进展

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中国特殊教育 2024年第2期 3-10页

作者：庄妍徐州工程学院师范学院徐州221018

习近平总书记强调,加强社会心理服务体系建设,培育自尊自信、理性平和、积极向上的社会心态。党的二十大报告提出,强化特殊教育普惠发展,重视心理健康和精神卫生。识别与干预特殊学生积极心理品质,有利于激发特殊学生的潜能,消解社会歧... 详细信息

习近平总书记强调,加强社会心理服务体系建设,培育自尊自信、理性平和、积极向上的社会心态。党的二十大报告提出,强化特殊教育普惠发展,重视心理健康和精神卫生。识别与干预特殊学生积极心理品质,有利于激发特殊学生的潜能,消解社会歧视与偏见,培育良好的社会心态。特殊学生与普通学生的积极心理品质存在差异。智力障碍、孤独症、学习障碍、注意缺陷多动障碍、感觉障碍等类型的特殊学生积极心理品质各具特点。特殊学生积极心理品质干预包含五个要素,主要依据“认识—探索—运用”模型,采用标志性优势、全方位优势评价等具体方法。积极心理品质干预在帮助特殊学生应对困境与挑战、提升健康与幸福感等方面发挥了显著作用。针对不同类型的特殊学生,干预措施各有侧重,效果也不同。未来研究应着力开发适宜特殊学生的积极心理品质测评工具,探究特殊学生积极心理品质的影响机制,构建特殊学生积极心理品质的支持系统。

关键词：特殊学生积极心理品质测评干预

近10年中国青年研究的现实脉络与热点演进——基于CiteSpace的可视化图谱分析

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中国青年研究 2024年第3期 104-111页

作者：庄岩刘洋北京航空航天大学科学技术研究院北京航空航天大学校团委

本文借助引文可视化分析软件CiteSpace,使用关键词共现分析、前沿知识图谱分析、文献共被引分析等方法考察近10年来中国青年研究领域的关键话题、前沿演进与引证关系。研究发现,近10年来中国青年研究领域的关键话题主要包括青年价值观... 详细信息

本文借助引文可视化分析软件CiteSpace,使用关键词共现分析、前沿知识图谱分析、文献共被引分析等方法考察近10年来中国青年研究领域的关键话题、前沿演进与引证关系。研究发现,近10年来中国青年研究领域的关键话题主要包括青年价值观、青年国家认同、共青团等;重点研究对象包括大学生、青年女性、农村青年等。我国青年研究的主流话题的持续性与时代性共存,研究领域不断拓展,研究话题多有增加,理论建构逐步深化。未来的中国青年研究应立足时代发展,创新研究方法,重视理论思维,筑实理论根基,统筹学术资源,构建青年研究领域学术共同体,以推动我国青年研究水平持续提高。

关键词：青年研究青年研究热点知识图谱可视化分析

Analysis of status and influencing factors of mental health in patients with systemic lupus erythematosus

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World Journal of Psychiatry 2024年第6期14卷 829-837页

作者： Xuan Zhang Zhe Wang Gui-Ling Lin Fang-Zhi Wei yan-Ping zhuang Wen-Lu Xu Qi Zhang Hui-Tao Wu Zi-Man He Xi-Yu Yin Ying Liu Long Mi Ai-Min Gong School of Traditional Chinese Medicine Hainan Medical UniversityHaikou 571101Hainan ProvinceChina Department of Rheumatology and Immunology Hainan General HospitalHainan Affiliated Hospital of Hainan Medical UniversityHaikou 570311Hainan ProvinceChina Department of Radiology The First Affiliated Hospital of Hainan Medical UniversityHainan Medical UniversityHaikou 570100Hainan ProvinceChina

BACKGROUND Systemic lupus erythematosus(SLE)is a heterogeneous autoimmune disorder with varied clinical courses and prognoses,not only did the patients suffer from physical impairment,but also various physical and psychiatric *** evidence have suggested that mental disorders in SLE patients,can lead to various adverse *** To explored the features and influencing factors of mental health in patients with SLE and clarifying the correlations between mental health and personality characteristics and perceived social *** results would provide a basis for psychological intervention in patients with *** The clinical data of 168 patients with SLE admitted at the First Affiliated Hospital of Hainan Medical University between June 2020 and June 2022 were *** assessment and correlation analysis were conducted using the Symptom Checklist-90(SCL-90)and Perceived Social Support Scale,and the collected data were compared with the national norms in *** relevant factors influencing mental health were identified by statistical analysis.A general information questionnaire,the Revised Life Orientation Test,and Short-Form 36-Item Health Survey were employed to assess optimism level and quality of life(QoL),*** Patients with SLE obtained higher scores for the somatization,depression,anxiety,and phobic anxiety subscales than national norms(P<0.05).A correlation was identified between total social support and total SCL-90 score or each subscale(P<0.05).The factors significantly affecting patients’mental health were hormone dosage and disease activity index(DAI)(P<0.05).The average optimism score of patients with SLE was 14.36±4.42,and 30 cases were in the middle and lower levels.A positive correlation was found between optimism level and QoL *** Patients with SLE develop psychological disorders at varying degrees,which are significantly influenced by hormone dosage and ***’menta

关键词： Systemic lupus erythematosus Mental health Quality of life Influencing factors

授人以鱼不如授人以渔:数字普惠金融、人力资本与共同富裕

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金融发展研究 2024年第5期 36-47页

作者：张鹏庄妍施美程中国社会科学院经济研究所北京100836 中国社会科学院上市公司研究中心北京100836 浙江大学光华法学院浙江杭州310008 天津社会科学院数字经济研究所天津300191

受益于数字经济的快速发展,中国数字普惠金融功能定位、服务对象更加多元,农村居民金融服务可得性极大增强,为新时代乡村振兴和共同富裕注入了动力。本文先从理论上分析了数字普惠金融在提高农村居民收入、降低城乡收入差距中的作用机制... 详细信息

受益于数字经济的快速发展,中国数字普惠金融功能定位、服务对象更加多元,农村居民金融服务可得性极大增强,为新时代乡村振兴和共同富裕注入了动力。本文先从理论上分析了数字普惠金融在提高农村居民收入、降低城乡收入差距中的作用机制,然后运用2013—2020年北京大学数字普惠金融指数和245个地级市的相关数据对理论假说进行了检验。研究结果显示,数字普惠金融的发展能够显著缩小我国城乡收入差距。其中的机制在于,数字普惠金融提高了人力资本水平,让农村居民通过金融服务可以触及更多发展机会,进一步推动城乡收入差距不断缩小。基于以上结论,文章提出了推动数字普惠金融走深走实的政策建议。

关键词：数字普惠金融人力资本城乡收入差距

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习近平文化思想的鲜明特征、系统功能和当代价值

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中共济南市委党校学报 2024年第3期 36-42页

作者：庄严广西南宁530021

作为新时代马克思主义中国化文化领域的最新理论成果,习近平文化思想的突出特征表现在坚持人民性、党性和时代性,强调自信自强与守正创新,促进物质文明和精神文明协调发展。作为一个完整体系,这一思想有着独特系统功能:通过强调“第二... 详细信息

作为新时代马克思主义中国化文化领域的最新理论成果,习近平文化思想的突出特征表现在坚持人民性、党性和时代性,强调自信自强与守正创新,促进物质文明和精神文明协调发展。作为一个完整体系,这一思想有着独特系统功能:通过强调“第二个结合”为塑造中华民族文化主体性提供了共同价值的指引;作为中华优秀传统文化与马克思主义基本原理的继承与创新,勾勒出“七个着力”的实践路径。这一思想为新时代中华民族的文化自信自强提供了强有力的理论支撑,突出全人类共同价值和人类文明新形态的重要地位,致力于推动人类文明的加速交流与互鉴。

关键词：习近平文化思想内容特征系统功能当代价值