检索结果-南通市图书馆

Unlocking the future:Mitochondrial genes and neural networks in predicting ovarian cancer prognosis and immunotherapy response

引用

World Journal of Clinical Oncology 2025年第1期16卷 43-52页

作者： Zhi-Jian Tang yuan-Ming Pan Wei Li Rui-Qiong Ma Jian-liu Wang Department of Obstetrics and Gynecology Peking University People’s HospitalBeijing 100044China Cancer Research Center Beijing Chest HospitalBeijing 101149China Department of Thoracic Surgery Sichuan Provincial People's HospitalChengdu 610072Sichuan ProvinceChina

BACKGROUND Mitochondrial genes are involved in tumor metabolism in ovarian cancer(OC)and affect immune cell infiltration and treatment *** To predict prognosis and immunotherapy response in patients diagnosed with OC using mitochondrial genes and neural *** Prognosis,immunotherapy efficacy,and next-generation sequencing data of patients with OC were downloaded from The Cancer Genome Atlas and Gene Expression *** genes were sourced from the MitoCarta3.0 *** discovery cohort for model construction was created from 70% of the patients,whereas the remaining 30% constituted the validation *** the expression of mitochondrial genes as the predictor variable and based on neural network algorithm,the overall survival time and immunotherapy efficacy(complete or partial response)of patients were *** In total,375 patients with OC were included to construct the prognostic model,and 26 patients were included to construct the immune efficacy *** average area under the receiver operating characteristic curve of the prognostic model was 0.7268[95% confidence interval(CI):0.7258-0.7278]in the discovery cohort and 0.6475(95%CI:0.6466-0.6484)in the validation *** average area under the receiver operating characteristic curve of the immunotherapy efficacy model was 0.9444(95%CI:0.8333-1.0000)in the discovery cohort and 0.9167(95%CI:0.6667-1.0000)in the validation *** The application of mitochondrial genes and neural networks has the potential to predict prognosis and immunotherapy response in patients with OC,providing valuable insights into personalized treatment strategies.

关键词： Ovarian cancer Mitochondria Prognosis Immunotherapy Neural network

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

分布交互仿真作战环境中有人驾驶飞行仿真平台

引用

系统仿真学报 2002年第3期14卷 370-373页

作者：彭晓源刘丽刘杰张伟马继峰北京航空航天大学先进仿真技术航空科技重点试验室北京100083

论述由本课题组研制成功具有高逼真度动力学特性关键机载系统功能仿真良好的人机交互界面和逼真的环境仿真能在分布式虚拟战场中进行交互作战的有人驾驶通用飞行作战仿真平台显示出飞机动力学虚拟样机对武器平台设计和战效评估的可行性... 详细信息

论述由本课题组研制成功具有高逼真度动力学特性关键机载系统功能仿真良好的人机交互界面和逼真的环境仿真能在分布式虚拟战场中进行交互作战的有人驾驶通用飞行作战仿真平台显示出飞机动力学虚拟样机对武器平台设计和战效评估的可行性和重要性

关键词：动力学虚拟样机飞行作战仿真平台分布交互仿真虚拟战场作战环境

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Durable and stretchable nanocomposite ionogels with high thermoelectric property for low-grade heat harvesting

引用

Science China(Technological Sciences) 2023年第1期66卷 267-280页

作者： xiao Meng YAO yuan liu WenGuang School of Materials Science and Engineering Tianjin Key Laboratory of Composite and Functional MaterialsTianjin UniversityTianjin300350China

Stretchable ionic thermoelectric(i-TE) materials have attracted growing interest in converting low-grade thermal energy into electricity. However, substantial improvement on i-TE performance of quasi-solid ionogels remains a significant ***, a nanocomposite ionogel with skin-like stretchability, high i-TE performance, thermostability and durability is prepared by hybridizing ionic liquid(IL) and Laponite nanosheets into waterborne polyurethane(WPU). With multiple H-bond, WPU can accommodate a higher content of IL, thereby improving its ionic conductivity. After cation exchange between IL and Laponite,the negatively charged Laponite sheets and released Na+can enhance the ionic Seebeck coefficient by enlarging thermophoretic mobility difference between the cations and anions in ionogel. Besides, incorporation of Laponite causes the decrease of thermal conductivity. Thus, the WPU-IL-Laponite ionogel exhibits a high ionic thermopower of 44.1 m V K-1, high ionic conductivity of 14.1 m S cm-1and low thermal conductivity of 0.43 W m-1K-1at a relative humidity of 90%. The corresponding ionic figure of merit of the ionogel is 1.90±0.27. Moreover, the ionogel demonstrates excellent durability during repeated stretching *** stretchable ionogel can be fabricated into ionic thermoelectric capacitor to convert thermal energy from solar radiation into electricity.

关键词： multiple H-bond waterborne polyurethane nanocomposite ionogel ionic thermoelectric capacitors low-grade heat harvesting

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

他汀类药对老年冠心病患者血C-反应蛋白的影响及其非调脂作用的探讨

引用

天津医科大学学报 2001年第4期7卷 521-522,531页

作者：袁晓华刘士莹天津医科大学总医院老年病研究室 300052

目的 :观察西立伐他汀对老年冠心病患者血脂和C—反应蛋白(CRP)的双重影响 ,探讨他汀类药可能的非调脂动脉粥样硬化作用。方法 :对35例伴高脂血症的稳定性冠心病患者进行服西立伐他汀8周前后血脂和血CRP的测定及统计学分析。结果 :西立... 详细信息

目的 :观察西立伐他汀对老年冠心病患者血脂和C—反应蛋白(CRP)的双重影响 ,探讨他汀类药可能的非调脂动脉粥样硬化作用。方法 :对35例伴高脂血症的稳定性冠心病患者进行服西立伐他汀8周前后血脂和血CRP的测定及统计学分析。结果 :西立伐他汀对老年冠心病患者血脂TG、TC、LDL—C和CRP均有明显降低作用 (P<0.05～0.001) ,血脂HDL—C明显升高 (P<0.05) ,并且治疗前后血脂变化值除△TG与CRP的变化值△CRP有关外 ,其余△TC、△LDL—C、△HDL—C均与△CRP无关。结论 :他汀类药可能具有独立于降脂作用之外的抑制炎性活动。

关键词：西立伐他汀 C-反应蛋白非调脂作用冠心病治疗

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

清热疏肝退黄汤治疗初诊乙肝伴黄疸的临床观察

引用

中国生化药物杂志 2017年第6期37卷 114-116页

作者：郭晓军刘源远张玲张长江海军青岛第二疗养院干部二科山东青岛266000 海军青岛第二疗养院特勤一科山东青岛266000 第二军医大学附属长海医院消化内科上海200433 第三军医大学附属西南医院传染病专科医院重庆400038

目的研究清热疏肝退黄汤治疗初诊乙肝伴黄疸的治疗效果.方法将2015年8月-2016年12月于本院接受诊断并初诊为乙肝伴黄疸的88例患者,根据治疗方式的不同,随机分为对照组和治疗组,各44例.对照组进行护肝降酶、抗病毒等常规治疗,治疗组在... 详细信息

目的研究清热疏肝退黄汤治疗初诊乙肝伴黄疸的治疗效果.方法将2015年8月-2016年12月于本院接受诊断并初诊为乙肝伴黄疸的88例患者,根据治疗方式的不同,随机分为对照组和治疗组,各44例.对照组进行护肝降酶、抗病毒等常规治疗,治疗组在对照组基础上给予清热疏肝退黄汤剂治疗,比较2组患者治疗前后肝功能指标变化、胆红素变化、临床证候变化及治疗效果等. 结果 2组血清总胆红素（TBIL）、结合胆红素（DBIL）、谷丙转氨酶（ALT）和凝血酶原时间（PT）均显著降低（P〈0.05）,白蛋白显著升高（P〈0.05）,且治疗后治疗组TBIL、DBIL、ALT与白蛋白变化幅度显著高于对照组,差异具有统计学意义（P〈0.05）;2组乙肝病毒DNA拷贝量均下降（P〈0.05）,且治疗组显著低于对照组,差异具有统计学意义（P〈0.05）;2组身目发黄、脘闷腹胀、胁肋疼痛、食欲不振、困倦乏力症状积分均显著下降（P〈0.05）,且治疗组下降幅度显著高于对照组,差异具有统计学意义（P〈0.05）;治疗组总有效率97.73%,而对照组则为81.82%,2组差异具有统计学意义（P〈0.05）.结论清热疏肝退黄汤治疗乙肝伴黄疸患者,可显著改善黄疸症状,改善肝功能损伤,效果显著,具有重要临床应用价值.

关键词：清热疏肝退黄汤慢性乙型肝炎黄疸初诊

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

miR-483-3p增强胰腺癌对吉西他滨敏感性及分子机制研究

引用

大连理工大学学报 2025年第1期65卷 30-37页

作者：刘青肖桂山大连理工大学化工学院辽宁大连116024

吉西他滨耐药限制了其对胰腺癌的治疗效果,而传统化学药物无法有效克服吉西他滨对胰腺癌的耐药.研究表明,microRNA(miRNA)的异常表达与肿瘤发生、发展和化疗耐药性有关.对miR-483-3p在胰腺癌吉西他滨耐药中的作用和潜在机制进行了研究.q... 详细信息

吉西他滨耐药限制了其对胰腺癌的治疗效果,而传统化学药物无法有效克服吉西他滨对胰腺癌的耐药.研究表明,microRNA(miRNA)的异常表达与肿瘤发生、发展和化疗耐药性有关.对miR-483-3p在胰腺癌吉西他滨耐药中的作用和潜在机制进行了研究.qPCR结果显示miR-483-3p在胰腺癌耐药细胞中显著下调.miR-483-3p minics瞬时转染显著提高了耐药细胞内miR-483-3p的表达水平,显著减弱了耐药细胞的增殖、迁移、转移和侵袭能力,恢复了吉西他滨的反应性.Western blot结果显示miR-483-3p抑制PI3K和p-AKT蛋白的表达水平,抑制Bcl2蛋白表达,促进Bax、Bad和cleaved-Caspase-3蛋白表达,促进细胞凋亡进程.总之,研究结果表明miR-483-3p通过抑制PI3K/AKT信号通路促进细胞凋亡,增加胰腺癌对吉西他滨的敏感性,miR-483-3p可能是吉西他滨耐药胰腺癌患者的潜在治疗策略.

关键词： miR-483-3p 胰腺癌吉西他滨耐药性 miRNA

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Driving forest succession in karst areas of Chongqing municipality over the past decade

引用

Forest Ecosystems 2020年第1期7卷 26-36页

作者： Qiang xiao Yang xiao yuan liu Jianping Tao Key Laboratory of Eco-environments in Three Gorges Reservoir Region(Ministry of Education) Chongqing Key Laboratory of Plant Ecology and Resources Research in Three Gorges Reservoir RegionSchool of Life SciencesSouthwest UniversityChongqing 400715China Chongqing University of Arts and Sciences Chongqing 402160China College of Biology and Environmental Sciences Jishou UniversityJishou 416000China

Background:Karst areas in southwestern China exhibit ecological degradation in the form of rocky *** governments launched large-scale afforestation and other ecological restoration programs to curb this *** thickness is a key limiting factor for vegetation restoration in Karst areas,but the relationship between ecological restoration and soil thickness remains ***,afforestation consumes large amounts of water,which impacts water supply in karst *** this study,we used GIS and statistical analyses to determine rocky desertification sensitivity and its driving factors in karst areas of Chongqing municipality over the past ***:Soil thickness is one of the key factors that restrict ecological restoration of rocky *** 2000 to 2010,rocky desertification sensitivity in karst areas was on the rise along with an increase in *** of high sensitivity were mainly distributed in Pengshui County,Wulong District,and Youyang County;Shizhu County had the lowest overall incidence of *** distribution of rocky desertification was significantly affected by rainfall and soil *** analysis showed that the main factors controlling changes in rocky desertification in natural forest over time were precipitation which explained 23.73%of total variance,and soil thickness which explained 23.42%of total *** thickness and soil water content had a higher correlation coefficient(at 0.516)in natural forests than in planted ***:This study showed that increases in soil thickness in a karst area had a significant positive impact on the fragile ecological *** indicates that ecosystem restoration in karst areas will benefit from addressing soil thickness.

关键词： Rocky desertification GIS Karst areas Ecological restoration Ecological drivers

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Deep learning-based software engineering: progress,challenges, and opportunities

引用

Science China(Information Sciences) 2025年第1期68卷 57-144页

作者： Xiangping CHEN Xing HU yuan HUANG He JIANG Weixing JI Yanjie JIANG Yanyan JIANG Bo liu Hui liu xiaochen LI xiaoli LIAN Guozhu MENG Xin PENG Hailong SUN Lin SHI Bo WANG Chong WANG Jiayi WANG Tiantian WANG Jifeng XUAN Xin XIA Yibiao YANG Yixin YANG Li ZHANG Yuming ZHOU Lu ZHANG School of Journalism and Communication Sun Yat-sen University School of Software Technology Zhejiang University School of Software Engineering Sun Yat-sen University School of Software Dalian University of Technology School of Computer Science and Technology Beijing Institute of Technology Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of EducationSchool of Computer Science Peking University State Key Laboratory for Novel Software Technology Nanjing University School of Computer Science and Engineering Beihang University Institute of Information Engineering Chinese Academy of Sciences School of Computer Science Fudan University State Key Laboratory of Complex & Critical Software Environment (CCSE) School of Software Beihang University School of Computer and Information Technology Beijing Jiaotong University School of Computer Science and Technology Harbin Institute of Technology School of Computer Science Wuhan University Huawei Technologies

Researchers have recently achieved significant advances in deep learning techniques, which in turn has substantially advanced other research disciplines, such as natural language processing, image processing, speech recognition, and software engineering. Various deep learning techniques have been successfully employed to facilitate software engineering tasks, including code generation, software refactoring, and fault localization. Many studies have also been presented in top conferences and journals, demonstrating the applications of deep learning techniques in resolving various software engineering tasks. However,although several surveys have provided overall pictures of the application of deep learning techniques in software engineering,they focus more on learning techniques, that is, what kind of deep learning techniques are employed and how deep models are trained or fine-tuned for software engineering tasks. We still lack surveys explaining the advances of subareas in software engineering driven by deep learning techniques, as well as challenges and opportunities in each subarea. To this end, in this study, we present the first task-oriented survey on deep learning-based software engineering. It covers twelve major software engineering subareas significantly impacted by deep learning techniques. Such subareas spread out through the whole lifecycle of software development and maintenance, including requirements engineering, software development, testing, maintenance, and developer collaboration. As we believe that deep learning may provide an opportunity to revolutionize the whole discipline of software engineering, providing one survey covering as many subareas as possible in software engineering can help future research push forward the frontier of deep learning-based software engineering more systematically. For each of the selected subareas,we highlight the major advances achieved by applying deep learning techniques with pointers to the available datasets i

关键词： deep learning software engineering software benchmark software artifact representation survey

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Single-cell omics: experimental workflow, data analyses and applications

引用

Science China Life Sciences 2025年第1期68卷 5-102页

作者： Fengying Sun Haoyan Li Dongqing Sun Shaliu Fu Lei Gu Xin Shao Qinqin Wang Xin Dong Bin Duan Feiyang Xing Jun Wu Minmin xiao Fangqing Zhao Jing-Dong J.Han Qi liu xiaohui Fan Chen Li Chenfei Wang Tieliu Shi Department of Clinical Laboratory the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City) Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang University Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University) Ministry of EducationOrthopaedic DepartmentTongji HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Frontier Science Center for Stem Cells School of Life Sciences and TechnologyTongji University Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine Shanghai East HospitalBioinformatics DepartmentSchool of Life Sciences and TechnologyTongji University Research Institute of Intelligent Computing Zhejiang Lab Shanghai Research Institute for Intelligent Autonomous Systems Center for Single-cell Omics School of Public HealthShanghai Jiao Tong University School of Medicine National Key Laboratory of Chinese Medicine Modernization Innovation Center of Yangtze River DeltaZhejiang University Center for Bioinformatics and Computational Biology Shanghai Key Laboratory of Regulatory Biologythe Institute of Biomedical Sciences and School of Life SciencesEast China Normal University Beijing Institutes of Life Science Chinese Academy of Sciences Peking-Tsinghua Center for Life Sciences Academy for Advanced Interdisciplinary StudiesCenter for Quantitative Biology (CQB)Peking University Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases Women's HospitalZhejiang University School of Medicine Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE School of StatisticsEast China Normal University

Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome,proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial sc RNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field,offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.

关键词： single-cell sequencing genome epigenome proteomics metabolomics multimodal spatial transcriptomics CRISPR screening

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

基于颜色校正与改进的对比度增强的水下图像增强方法

引用

现代电子技术 2025年第1期48卷 40-46页

作者：刘明肖汉城云南民族大学电气信息工程学院云南昆明650500

针对水下介质分布不均匀引起的光吸收和散射导致图像颜色失真、对比度低、细节模糊,严重影响ORBSLAM2算法前端特征提取与匹配鲁棒性的问题,文中提出一种基于颜色校正与改进的自适应对比度增强的图像处理方法。首先,利用一种改进的颜色... 详细信息

针对水下介质分布不均匀引起的光吸收和散射导致图像颜色失真、对比度低、细节模糊,严重影响ORBSLAM2算法前端特征提取与匹配鲁棒性的问题,文中提出一种基于颜色校正与改进的自适应对比度增强的图像处理方法。首先,利用一种改进的颜色通道补偿和颜色通道拉伸方法去除色偏;其次,采用改进的自适应对比度增强方法提高图像的亮度与对比度;最后,将彩色校正图像与对比度增强图像在HSV空间中融合。此外,将提出的算法与一些其他算法进行主客观的评价,并将处理好的图片进行特征提取和匹配。结果表明,该算法处理的图片不仅在主客观评价上均优于对比算法,而且增加了特征点的匹配数量,为水下图像处理提供了借鉴。

关键词：水下视觉SLAM 水下图像增强自适应对比度增强颜色校正颜色补偿特征匹配

来源：

维普期刊数据库博看期刊

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：