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Artificial intelligence-based analysis of tumor-infiltrating lymphocyte spatial distribution for colorectal cancer prognosis

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Chinese Medical Journal 2024年第4期137卷 421-430页

作者： Ming Cai ke zhao Lin Wu Yanqi Huang Minning zhao Qingru Hu Qicong Chen Su Yao Zhenhui Li Xinjuan Fan Zaiyi Liu Department of Radiology Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Guangdong Provincial key Laboratory of Artificial Intelligence in Medical Image Analysis and Application GuangzhouGuangdong 510080China Guangdong Cardiovascular Institute Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Medical Research Institute Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Department of Pathology The Third Affiliated Hospital of Kunming Medical UniversityYunnan Cancer HospitalYunnan Cancer CenterKunmingYunnan 650118China The Second School of Clinical Medicine Southern Medical UniversityGuangzhouGuangdong 510515China Institute of Computing Science and Technology Guangzhou UniversityGuangzhouGuangdong 510006China Department of Pathology Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouGuangdong 510080China Department of Pathology The Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510655China

Background:Artificial intelligence(AI)technology represented by deep learning has made remarkable achievements in digital pathology,enhancing the accuracy and reliability of diagnosis and prognosis *** spatial distribution of CD3^(+)and CD8^(+)T cells within the tumor microenvironment has been demonstrated to have a significant impact on the prognosis of colorectal cancer(CRC).This study aimed to investigate CD3_(CT)(CD3^(+)T cells density in the core of the tumor[CT])prognostic ability in patients with CRC by using AI ***:The study involved the enrollment of 492 patients from two distinct medical centers,with 358 patients assigned to the training cohort and an additional 134 patients allocated to the validation *** facilitate tissue segmentation and T-cells quantification in whole-slide images(WSIs),a fully automated workflow based on deep learning was *** the completion of tissue segmentation and subsequent cell segmentation,a comprehensive analysis was ***:The evaluation of various positive T cell densities revealed comparable discriminatory ability between CD3_(CT) and CD3-CD8(the combination of CD3^(+)and CD8^(+)T cells density within the CT and invasive margin)in predicting mortality(C-index in training cohort:0.65 vs.0.64;validation cohort:0.69 vs.0.69).The CD3_(CT) was confirmed as an independent prognostic factor,with high CD3_(CT) density associated with increased overall survival(OS)in the training cohort(hazard ratio[HR]=0.22,95%confidence interval[CI]:0.12–0.38,P<0.001)and validation cohort(HR=0.21,95%CI:0.05–0.92,P=0.037).Conclusions:We quantify the spatial distribution of CD3^(+)and CD8^(+)T cells within tissue regions in WSIs using AI *** CD3_(CT) confirmed as a stage-independent predictor for OS in CRC ***,CD3_(CT) shows promise in simplifying the CD3-CD8 system and facilitating its practical application in clinical settings.

关键词： Colorectal cancer Artificial intelligence Deep learning Digital pathology Prognosis Immune cells CD3 CD8 TME

White light emission in 0D halide perovskite[(CH_(3))_(3)S]_(2)SnCl_(6)·H_(2)O crystals through variation of doping ns^(2) ions

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Frontiers of Optoelectronics 2024年第1期17卷 57-66页

作者： Yitong Lin Yu Zhong Yangpeng Lin Jiawei Lin Lei Pang Zhilong Zhang Yi zhao Xiao‑Ying Huang ke‑zhao Du Fujian Provincial key Laboratory of Advanced Materials Oriented Chemical Engineering Collage of Chemistry and Material ScienceFujian Normal UniversityFuzhou 350007China State key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China Qinghai Environmental Monitoring Center Xining 810000China Strait Institute of Flexible Electronics(SIFE Future Technologies)Fujian Normal University and Strait Laboratory of Flexible Electronics(SLoFE)Fuzhou 350007China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China

With the rapid development of white LEDs,the research of new and efficient white light emitting materials has attracted increasing *** dimensional(0D)organic–inorganic hybrid metal halide perovskites with superior luminescent property are promising candidates for LED application,due to their abundant and tailorable ***,[(CH_(3))_(3)S]_(2)SnCl_(6)・H_(2)O is synthesized as a host for dopant ions Bi^(3+)and Sb^(3+).The Sb^(3+)doped,or Bi^(3+)/Sb^(3+)co-doped,[(CH_(3))3S]_(2)SnCl_(6)・H_(2)O has a tunable optical emission spectrum by means of varying dopant ratio and excitation *** a result,we can achieve single-phase materials suitable for emission ranging from cold white light to warm white *** intrinsic mechanism is examined in this work,to clarify the dopant effect on the optical *** high stability of title crystalline material,against water,oxygen and heat,makes it promising for further application.

关键词： 0D Metal halide White light Perovskite Ions doping Excitation dependent

Recent advances in core-shell organic framework-based photocatalysts for energy conversion and environmental remediation

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Journal of Energy Chemistry 2024年第8期95卷 168-199,I0004页

作者： Qibing Dong Ximing Li Yanyan Duan Qingyun Tian Xinxin Liang Yiyin Zhu Lin Tian Junjun Wang Atif Sial Yongqian Cui ke zhao Chuanyi Wang School of Environmental Science and Engineering Shaanxi University of Science and TechnologyXi’an 710021ShaanxiChina Guangdong Engineering Technology Research Center for Environmental Purification and Functional Materials Guangzhou Institute of Industrial IntelligenceGuangzhou 511400GuangdongChina Jiangxi key Lab of Flexible Electronics Flexible Electronics Innovation InstituteJiangxi Science and Technology Normal UniversityNanchang 330013JiangxiChina Helmholtz-Zentrum Berlin für Materialien und Energie Kekuléstraße 512489 BerlinGermany

Direct conversion of solar energy into chemical energy in an environmentally friendly manner is one of the most promising strategies to deal with the environmental pollution and energy *** a variety of materials developed as photocatalysts,the core-shell metal/covalent-organic framework(MOF or COF)photocatalysts have garnered significant attention due to their highly porous structure and the adjustability in both structure and *** existing reviews on core-shell organic framework photocatalytic materials have mainly focused on core-shell MOF ***,there is still a lack of indepth reviews specifically addressing the photocatalytic performance of core-shell COFs and MOFs@***,there is an urgent need for a comprehensive review encompassing these three types of core-shell *** on this,this review aims to provide a comprehensive understanding and useful guidelines for the exploration of suitable core-shell organic framework photocatalysts towards appropriate photocatalytic energy conversion and environmental ***,the classification,synthesis,formation mechanisms,and reasonable regulation of core-shell organic framework were ***,the photocatalytic applications of these three kinds of core-shell structures in different areas,such as H_(2)evolution,CO_(2)reduction,and pollutants degradation are ***,the main challenges and development prospects of core-shell organic framework photocatalysts were *** review aims to provide insights into the development of a novel generation of efficient and stable core-shell organic framework materials for energy conversion and environmental remediation.

关键词： Organic framework Core-shell structure Photocatalysis Energy conversion Environmental remediation

嵌入多阶泰勒微分知识的多尺度注意力循环网络深度时空序列预测方法

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电子与信息学报 2024年第6期46卷 2605-2618页

作者：孙强赵珂西安理工大学自动化与信息工程学院通信工程系西安710048

融合先验物理知识的深度时空序列预测方法通常使用偏微分方程(PDE)进行建模,这种做法通常存在两大问题:(1)偏微分方程的近似精度低;(2)无法在循环网络中有效捕捉多种空间尺度的时空特征和时空序列的边缘相关空间信息。为此,该文提出了... 详细信息

融合先验物理知识的深度时空序列预测方法通常使用偏微分方程(PDE)进行建模,这种做法通常存在两大问题:(1)偏微分方程的近似精度低;(2)无法在循环网络中有效捕捉多种空间尺度的时空特征和时空序列的边缘相关空间信息。为此,该文提出了融合泰勒微分的卷积循环神经网络(TDI-CRNN)。首先,为了提高高阶偏微分方程的近似精度并缓解偏微分方程应用的局限性,设计了一种多阶泰勒近似物理模块。该模块首先使用泰勒展开式对输入序列作微分逼近,再将不同阶数之间的微分卷积层使用微分系数耦合,最后动态调整泰勒展开结果的截断阶数与微分项数。其次,为了捕获循环网络隐藏状态的多种空间尺度特征并更好地捕捉时空序列的边缘相关空间信息,设计了一种多尺度注意力循环模块(MSARM),在该模块的多尺度卷积空间注意力UNet(即MCSA-UNet)的卷积层中使用了多尺度卷积和空间注意力机制,目的是关注时空序列的局部空间区域。在Moving MNIST,KTH以及CIKM数据集上开展了大量实验,Moving MNIST数据集的均方误差(MSE)指标下降到42.7,结构相似性指数(SSIM)提高到0.912;KTH数据集的SSIM和峰值信噪比(PSNR)分别提高到0.882和29.03;CIKM数据集上的临界成功指数(CSI)提高到0.515。最终的可视化和定量预测结果均验证了TDI-CRNN模型的合理性和有效性。

关键词：时空序列预测长短期记忆网络知识引导偏微分方程泰勒展开式

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RuCo alloy nanoparticles embedded within N-doped porous two-dimensional carbon nanosheets:a high-performance hydrogen evolution reaction catalyst

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Tungsten 2024年第1期6卷 114-123页

作者： Jin-Hui Wang Shao-Wei Yang Fu-Bin Ma Yi-ke zhao Shi-Nuo zhao Zheng-Yu Xiong Dong Cai Hai-Dong Shen Kai Zhu Qiu-Yu Zhang Yue-Ling Cao Tian-Shuai Wang He-Peng Zhang Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China Xi’an key Laboratory of Functional Organic Porous Materials School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’an 710129China School of Power and Energy Northwestern Polytechnical UniversityXi’an 710129China Chongqing Science and Technology Innovation Center of Northwestern Polytechnical University Chongqing 401135China

Developing cost-effective electrocatalysts with high activity and stability especially at high current density is of great significance for the large-scale commercial application of electrochemical water splitting to hydrogen production but still remains ***,we report an effective confinement pyrolysis strategy to fabricate embedded ruthenium-cobalt nanoclusters supported on N-doped porous two-dimensional carbon nanosheets(RuCo@CN).Markedly,the embedded structure can effectively prevent the migration,agglomeration,and leaching of nanoparticles,thus endowing the RuCo@CN catalyst with high *** be exact,high stability with up to 650 h can be achieved at high current density(-500 and-1000 mA·cm^(-2)).Besides,the RuCo@CN catalysts also exhibit highly reactive with low overpotentials of only 11mV at-10 mA·cm^(-2).Density functional theory calculations reveal that the introduction of cobalt reduces the decomposition barrier of H_(2)O for RuCo@CN alloy,thus promoting hydrogen evolution reaction.

关键词： Hydrogen evolution reaction Confinement pyrolysis strategy Mosaic structure Stability

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文化遗产数字叙事信任模型：概念与框架

中国图书馆学报 2024年第2期50卷 30-41页

作者：王晓光赵珂武汉大学信息管理学院武汉大学文化遗产智能计算实验室

信任是数字环境下文化遗产数字叙事的基础。文化遗产数字叙事是一种具有重构和演绎特质的叙事方式，在数字化、数据化和艺术化阶段会产生不同的信任问题。作为一种特殊的信息系统，文化遗产数字叙事的人机交互特征体现出系统、信息和用... 详细信息

信任是数字环境下文化遗产数字叙事的基础。文化遗产数字叙事是一种具有重构和演绎特质的叙事方式，在数字化、数据化和艺术化阶段会产生不同的信任问题。作为一种特殊的信息系统，文化遗产数字叙事的人机交互特征体现出系统、信息和用户之间的相互连通和协同影响，系统叙事的可信度和用户体验的信任感构成了信任模型的双向动态互动，涉及文化遗产信息资源、叙事性架构、数字化呈现、系统本身的功能建设和知识服务，以及用户的意图和行动。文化遗产数字叙事信任模型不仅有助于提升文化遗产的数智化活化利用水平，促进对文化遗产信息资源的深度挖掘、叙事内容的创意演绎、文化内涵的有效阐释与呈现，而且有望为可信的文化遗产数字叙事提供理论和实践指导，助力文化遗产数字化转型发展。图3。参考文献46。

关键词：文化遗产数字人文数字叙事信任模型可信度

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高速列车离散径向基函数自适应鲁棒滑模网络控制方法

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城市轨道交通研究 2024年第7期27卷 43-48页

作者：刘勇张彤赵科人工智能四川省重点实验室宜宾644000 大连交通大学机车车辆工程学院大连116028 大连交通大学自动化与电气工程学院大连116028

[目的]为实现列车牵引制动关键系统的可靠控制,同时抑制通信时延对列车控制产生的影响,针对高速列车关键网络系统提出一种离散RBF(径向基函数)自适应鲁棒滑模控制方法。[方法]介绍了高速列车牵引制动网络系统;设计了考虑时延分数项的自... 详细信息

[目的]为实现列车牵引制动关键系统的可靠控制,同时抑制通信时延对列车控制产生的影响,针对高速列车关键网络系统提出一种离散RBF(径向基函数)自适应鲁棒滑模控制方法。[方法]介绍了高速列车牵引制动网络系统;设计了考虑时延分数项的自适应鲁棒滑模控制方法,并对其进行了稳定性分析;在测试平台上利用组态软件对所提离散RBF自适应鲁棒滑模控制方法进行联合仿真分析。[结果及结论]将离散系统中的时延分为整数项和分数项,在充分考虑时延分数项的基础上,推导出离散趋近律下的时延补偿滑模牵引制动力,其中的未知非线性函数利用具有自适应调节特性的RBF神经网络进行精确逼近。为抑制列车运行过程中受到的较强干扰,将基于干扰观测器的滑模牵引制动力融入模型中,以增强其抗干扰性能。所提离散RBF自适应鲁棒滑模控制方法在稳定性能和响应性能方面优于其他控制方法,具有更为理想的时延补偿效果和鲁棒性能。

关键词：高速列车滑模网络控制 RBF神经网络

受欺负、欺负容忍及认知情绪调节策略对儿童青少年焦虑抑郁的影响

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中国儿童保健杂志 2024年第3期32卷 268-272,279页

作者：赵科尹绍清刘虹云南师范大学教育学部云南昆明650550 德宏师范高等专科学校教育学院云南芒市678400 楚雄师范学院教育学院云南省教育科学研究院

目的分析受欺负、欺负容忍与儿童青少年焦虑抑郁的关系及认知情绪调节策略对欺负容忍影响焦虑抑郁的调节效应,为进行干预提供依据。方法2019年1月—2020年7月,采用儿童欺负问卷、中小学生欺负容忍问卷、认知情绪调节问卷中文版和28项一... 详细信息

目的分析受欺负、欺负容忍与儿童青少年焦虑抑郁的关系及认知情绪调节策略对欺负容忍影响焦虑抑郁的调节效应,为进行干预提供依据。方法2019年1月—2020年7月,采用儿童欺负问卷、中小学生欺负容忍问卷、认知情绪调节问卷中文版和28项一般健康问卷对1768名儿童青少年学生进行测查。结果儿童青少年学生受欺负现象较为普遍,受言语欺负、关系欺负和身体欺负的比例分别为57.64%(1019/1768)、36.60%(647/1768)和22.40%(396/1768)。不同性别(t=2.00)、学段(F=101.38)和学习成绩(F=27.91)儿童青少年焦虑抑郁得分差异具有统计学意义(P0.05),而低积极策略水平上欺负容忍正向预测焦虑抑郁(β=0.28,P0.05)。结论受欺负、欺负容忍正向预测儿童青少年焦虑抑郁,高积极策略和低消极策略能有效抑制欺负容忍对焦虑抑郁的风险而低积极策略和高消极策略则会放大欺负容忍对焦虑抑郁的风险。

关键词：青少年受欺负欺负容忍认知情绪调节策略焦虑抑郁

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基于ES景观美学服务制图的城市绿色开敞空间系统构建--以富顺县新湾片区为例

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中国园林 2024年第2期40卷 43-49页

作者：赵珂夏清清重庆大学建筑城规学院重庆400045 重庆大学自然资源部国土空间规划监测评估预警重点实验室

在城市绿色开敞空间系统网络化构建的探讨中,针对从自然生态系统本身出发、以绿地廊道连接绿地斑块的生态网络化构建方法容易出现预期结果远离人口集聚地、不易为人所用的空间不匹配问题,靶向构建自然生态保护利用与人类社会需求相互匹... 详细信息

在城市绿色开敞空间系统网络化构建的探讨中,针对从自然生态系统本身出发、以绿地廊道连接绿地斑块的生态网络化构建方法容易出现预期结果远离人口集聚地、不易为人所用的空间不匹配问题,靶向构建自然生态保护利用与人类社会需求相互匹配的绿色开敞空间系统目标,引入生态系统服务概念,遵循其提供的以“服务流”链接自然生态供给与人类社会需求的级联框架,运用网络科学的中心度量方法,创新性建立由“挖掘城市绿色开敞空间系统自然生态系统服务潜能的景观美学服务供给制图-评估城市绿色开敞空间系统社会需求的景观美学服务需求制图-权衡城市绿色开敞空间系统的景观美学服务流制图”三部分组成的城市绿色开敞空间系统构建景观美学服务“供需流级联”网络制图方法,促成城市绿色开敞空间系统网络不仅将破碎的生态环境恢复为一个连续整体自然生态系统,还具有匹配自然生态供给与人类社会需求的内在联系,推动人居环境绿化“从自然生态内在保护到价值外显利用”的积极生态保护转向。

关键词：风景园林城市绿色开敞空间生态系统服务景观美学服务空间制图