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The analysis to the latest changes in NCCN Guidelines of Central Nervous System Cancers about low-grade gliomas and glioblastoma

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Chinese Neurosurgical Journal 2016年第1期2卷 -页

作者： tianyu wang Xiong Xiao Nan Ji Department of Neurosurgery

Gliomas are the most common primary tumors of the central nervous system,around 70 ％ of the malignant brain tumors are *** the NCCN Guideline Ver.1 2015,the assessment before systemic treatment,treatment principles and prognosis factors of gliomas has significantly changed based on the researches up to date,we try to analyze the reason and the effect of these *** most important change is the reintroduction of PCV chemotherapy in systemic treatment,which narrows the gap of prognosis between WHO Ⅱ and Ⅲ *** changes including the assessment before systemic treatment,usage of RT and the promotion of evidence level about the Tumor Treating Fields.

关键词： Glioma Glioblastoma NCCN Guideline of Central Nervous System Cancers PCV

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钢丝绳涂油润滑装置设计与分析

科学技术创新 2024年第16期 221-224页

作者：黄睿琳蔡耀煌王天雨涂龙龙叶裕华苏鹏飞桂方志福建棉花滩水电开发有限公司福建龙岩南昌工程学院机械工程学院江西南昌

针对水电厂钢丝绳在使用过程中的涂油防腐需求,设计一种面向较窄工况的钢丝绳高效涂油装置,以提高钢丝绳使用寿命。通过对钢丝绳涂油过程分析,确定了涂油装置的工作原理和装置总体结构;基于环保要求,设计了一种适应钢丝绳尺寸的刮油板;... 详细信息

针对水电厂钢丝绳在使用过程中的涂油防腐需求,设计一种面向较窄工况的钢丝绳高效涂油装置,以提高钢丝绳使用寿命。通过对钢丝绳涂油过程分析,确定了涂油装置的工作原理和装置总体结构;基于环保要求,设计了一种适应钢丝绳尺寸的刮油板;最后对装置的关键部件进行了有限元仿真验证,结果表明,所设计的涂油装置能够实现稳定的涂油效果,可保障涂油装置的稳定性。本研究为钢丝绳涂油装置的设计和应用提供了重要参考,对于提高钢丝绳的使用性能具有实用价值和推广意义。

关键词：钢丝绳涂油装置总体结构有限元

HTPdb and HTPtools:Exploiting maize haplotypetag polymorphisms for germplasm resource analyses and genomics-informed breeding

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Plant Communications 2022年第4期3卷 54-63页

作者： Yikun Zhao Hongli Tian Chunhui Li Hongmei Yi Yunlong Zhang Xiaohui Li Han Zhao Yongxue Huo Rui wang Dingming Kang Yuncai Lu Zhihao Liu Ziyue Liang Liwen Xu Yang Yang Ling Zhou tianyu wang Jiuran Zhao Fengge wang Maize Research Center Beijing Academy of Agriculture&Forestry Sciences(BAAFS)Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular BreedingShuguang Garden Middle Road No.9Beijing 100097China Institute of Crop Sciences Chinese Academy of Agricultural SciencesBeijing 100081China Jilin Academy of Agricultural Sciences Maize Research InstituteGongzhuling 136100China Provincial Key Laboratory of Agrobiology Institute of Crop Germplasm and BiotechnologyJiangsu Academy of Agricultural SciencesNanjing 210014China College of Agronomy and Biotechnology China Agricultural UniversityBeijing 100193China College of Advanced Agriculture and Ecological Environment Heilongjiang UniversityHarbin 150080China

Along with rapid advances in high-throughput-sequencing technology,the development and application of molecular markers has been critical for the progress that has been made in crop breeding and genetic *** molecular markers should be able to rapidly genotype tens of thousands of breeding accessions with tens to hundreds of *** this study,we developed a multiplex molecular marker,the haplotype-tag polymorphism(HTP),that integrates Maize6H-60K array data from 3,587 maize inbred lines with 6,375 blocks from the recombination block *** applying strict filtering criteria,we obtained 6,163 highly polymorphic HTPs,which were evenly distributed in the ***,we developed a genome-wide HTP analysis toolkit,HTPtools,which we used to establish an HTP database(HTPdb)covering the whole genomes of 3,587 maize inbred lines commonly used in breeding.A total of 172,921 non-redundant HTP allelic variations were *** major HTPtools modules combine seven algorithms(e.g.,chain Bayes probability and the heterotic-pattern prediction algorithm)and a new plotting engine named“BCplot”that enables rapid visualization of the background information of multiple backcross *** was designed for big-data analyses such as complex pedigree reconstruction and maize heterotic-pattern *** HTP-based analytical strategy and the toolkit developed in this study are applicable for high-throughput genotyping and for genetic mapping,germplasm resource analyses,and genomics-informed breeding in maize.

关键词： haplotype tag database maize pedigree reconstruction heterotic-pattern prediction genomicsinformed breeding

Multi-Condition Knowledge Acquisition for Byproduct Energy Scheduling based on Hierarchical Granular Contrastive Network

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Multi-Condition Knowledge Acquisition for Byproduct Energy S...

Tuning the Gelation Ability of Bolaamphiphilic Racemate by Melamine:Enhanced Mechanical Rigidity and Tunable Nanoscale Chirality

第32届中国过程控制会议(CPCC2021)

作者： tianyu wang Jun Zhao Wei wang Tianxin wang School of Control Science and Engineering Dalian University of Technology

A real-time effective scheduling for byproduct energy systems is important for achieving energy saving and consumption *** that the energy system is characterized by multiple operating conditions,a knowledge acquisition and representation algorithm based on hierarchical granular contrastive network is *** view of the capabilities of deep contrast learning for processing semantic information,a series of information granules are first defined and described to establish a semantic representation of the energy *** extract multi-condition scheduling knowledge,a long and short-term memory(LSTM) network is used to learn the time-varying characteristics of granular *** top of this,a knowledge representation network based on granular contrastive learning is established,which takes advantage of the expert knowledge to partition the contrastive *** digging out deep-level hidden information,a hierarchical contrastive network model is further proposed by employing a closed-loop feedback *** practical operation data coming from the blast furnace gas system of a domestic steel plant are utilized to perform our *** results show that the multi-condition knowledge representation obtained by the proposed method would help improve the performance of system modeling and realize human-level scheduling performance.

关键词： Byproduct energy system multi-condition knowledge acquisition information granularity contrastive learning

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Tuning the Gelation Ability of Bolaamphiphilic Racemate by M...

手性中国2014学术研讨会

作者： Zhaocun Shen tianyu wang Minghua Liu Beijing National Laboratory for Molecular Science（BNLMS） CAS Key Laboratory of ColloidInterface and Chemical ThermodynamicsInstitute of ChemistryChinese Academy of Sciences

＜正＞As a kind of important soft matter with extensive potential applications,supramolecular gels have been carefully *** general,the gelation behaviour of supramolecular systems is largely dependent on their molecular chirality and supramolecular ***,many chiral molecules are good gelators while their racemates usually cannot gel the *** the other hand,mixing the

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基于空间聚类的图像检索方法

情报杂志 2005年第4期24卷 108-109,112页

作者：王恬宇南京政治学院上海分院军事信息管理系上海200433

信息检索在信息飞速增长的今天具有十分重大的意义。作为信息检索的一个重要的部分,图像检索得到了广泛的研究。由于基于文本的图像检索的种种不利因素,基于内容的图像检索成为目前的主流方向,本文提出一种基于空间聚类的方法,用图像的... 详细信息

信息检索在信息飞速增长的今天具有十分重大的意义。作为信息检索的一个重要的部分,图像检索得到了广泛的研究。由于基于文本的图像检索的种种不利因素,基于内容的图像检索成为目前的主流方向,本文提出一种基于空间聚类的方法,用图像的颜色特征来计算图像之间距离,采用DBSCAN算法对图像聚类,得到检索结果。

关键词：空间聚类图像检索颜色特征图像相似度

网络自主导向学习联合课题式教学法在耳鼻咽喉头颈外科学教学中的效果分析

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中国卫生产业 2024年第3期21卷 10-13页

作者：王天宇胡栩策张涛葛青华梁才全刘环海彭浒纪振华海军军医大学第二附属医院耳鼻咽喉科上海200003 海军军医大学教务处上海200433

目的初步探索并验证网络自主导向学习联合课题式教学法在耳鼻咽喉头颈外科学教学中的应用价值。方法选取2021年1月—2022年12月海军军医大学第二附属医院耳鼻咽喉头颈外科轮转的204名见习生作为研究对象,按照不同的教学法分为2021学年... 详细信息

目的初步探索并验证网络自主导向学习联合课题式教学法在耳鼻咽喉头颈外科学教学中的应用价值。方法选取2021年1月—2022年12月海军军医大学第二附属医院耳鼻咽喉头颈外科轮转的204名见习生作为研究对象,按照不同的教学法分为2021学年的案例为基础(Case-based learning,CBL)的教学组(n=100)和2022学年的网络自主导向学习联合课题式教学组(n=104),对比分析两组的教学效果及学生认可度。结果网络自主导向学习联合课题式教学组的平均理论成绩和优秀率均高于CBL教学组,差异有统计学意义(P均<0.05);网络自主导向学习联合课题式教学组满意度明显优于CBL教学组,差异有统计学意义(P<0.05)。结论网络自主导向学习联合课题式教学法在耳鼻咽喉头颈外科的教学中客观上能提高教学效果,主观上也能得到医学生认可。

关键词：网络自主导向学习法课题式教学法以案例为基础的教学法教学效果

采用小波变换和双向长短期记忆网络的脑电睡眠分期模型

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西安交通大学学报 2022年第9期56卷 104-111页

作者：王天宇陈晗王刚吴宁西安交通大学电子与信息学部西安710049 西安交通大学生物医学信息工程教育部重点实验室西安710049 西安交通大学生命科学与技术学院西安710049

针对睡眠生理信号采集难度大、睡眠分期精度低的问题,提出一种采用小波变换和双向长短期记忆网络的脑电睡眠分期模型。首先使用连续小波变换提取睡眠脑电的时频图;然后使用卷积神经网络从脑电信号的时频图中提取睡眠相关的脑电特征,作... 详细信息

针对睡眠生理信号采集难度大、睡眠分期精度低的问题,提出一种采用小波变换和双向长短期记忆网络的脑电睡眠分期模型。首先使用连续小波变换提取睡眠脑电的时频图;然后使用卷积神经网络从脑电信号的时频图中提取睡眠相关的脑电特征,作为单个睡眠片段的分期依据,再使用双向长短期记忆网络进一步提取睡眠片段之间的状态转换规则;最后利用深度学习方法建立特征、规则与睡眠阶段的映射,使用数据扩充和两步训练法训练模型,削弱数据不均衡的影响,完成连续片段的睡眠分期。采用SHHS公开数据库的5793名被试者的睡眠脑电数据对该模型进行验证,实验结果表明,睡眠分期准确率达到85.82%,整体F1达到78.39,Kappa系数达到0.799,和现有方法相比性能明显提升。

关键词：睡眠分期脑电信号连续小波变换卷积神经网络双向长短期记忆网络

Hovering rotor aerodynamics in extreme ground effect

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Chinese Journal of Aeronautics 2024年第7期37卷 204-219页

作者： Zhenlong WU tianyu ZHANG Huijun TAN Haoyu ZHOU Wei CHEN Maixiang XIE College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China China Aviation Power Machinery Research Institute Zhuzhou 412002China

This paper presents an experimental and numerical study of the aerodynamics of a moderate-scale rotor hovering in the Extreme Ground Effect(EGE)where rotor height-offground is below half the rotor *** tip vortex field was visualized by using the PIV *** aerodynamic performance,tip vortex trajectory,wall jet characteristics,surface pressure and velocity fields were measured and *** explore more deeply the flow mechanisms of the extreme ground effect,Detached Eddy Simulation(DES)was conducted on completely structured *** results showed significant deviations of the rotor performance in EGE from that in Regular Ground Effect(RGE)with the rotor heights of more than half the rotor ***,the flow structures of the rotor in EGE are considerably complex,such as the wall jet and groundwash flow *** rotor wake flow and tip vortices impact the ground more frequently,resulting in distinctive characteristics of the surface pressure and velocity fields in EGE.

关键词： Rotor Ground effect Tip vortex Detached Eddy Simulation(DES) Groundwash