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Method for Processing Graph Degeneracy in Dynamic Geometry Based on Domain Design

Journal of Computer Science & Technology 2021年第4期36卷 910-921页

作者： Hao Guan Yong-Sheng Rao Jing-Zhong Zhang Sheng Cao xiao-lin qin Institute of Computing Science and Technology Guangzhou UniversityGuangzhou 510006China Chengdu Institute of Computer Applications Chinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 61173China

A dynamic geometry system,as an important application in the field of geometric constraint solving,is widely used in elementary mathematics education;moreover,the dynamic geometry system is also a fundamental environment for automated theorem proving in *** a geometric constraint solving process,a situation involving a critical point is often encountered,and geometric element degeneracy may occur at this ***,the degeneracy situation must be substantively focused on during the learning and exploration ***,many degeneracy situations cannot be completely presented even by the well-known dynamic geometry *** this paper,the mechanisms causing the degeneracy of a geometric element are analyzed,and relevant definitions and formalized descriptions for the problem are provided according to the relevant modern Euclidean geometry *** solve the problem,the data structure is optimized,and a domain model design for the geometric element and the constraint relationships thereof in the dynamic geometry system are formed;furthermore,an update algorithm for the element is proposed based on the novel domain *** addition,instances show that the proposed domain model and the update algorithm can effectively cope with the geometric element degeneracy situations in the geometric constraint solving process,thereby achieving unification of the dynamic geometry drawing and the geometric intuition of the user.

关键词： dynamic geometry critical point degeneracy domain model

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GRIP： A Group Recommender Based on Interactive Preference Model

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Journal of Computer Science & Technology 2018年第5期33卷 1039-1055页

作者： Bo-Han Li An-Man Zhangi Wei Zheng Shuo Wani xiao-lin qin Xue Li Hai-Lian Yin College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 211106 China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210016 China Jiangsu Easymap Geographic Information Technology Corp. Ltd. Yangzhou 225000 China School of Information Technology and Electrical Engineering the University of Queensland Brisbane QLD 4072 Australia Unmanned Aerial Vehicle Research Institute Nanjing University of Aeronautics and Astronautics Nanjing 211106 China

Numerous applications of recommender systems can provide us a tool to understand users. A group recommender reflects the analysis of multiple users＇ behavior, and aims to provide each user of the group with the things they involve according to users＇ preferences. Currently, most of the existing group recommenders ignore the interaction among the users. However, in the course of group activities, the interactive preferences will dramatically affect the success of recommenders. The problem becomes even more challenging when some unknown preferences of users are partly influenced by other users in the group. An interaction-based method named GRIP （Group Recommender Based on Interactive Preference） is presented which can use group activity history information and recommender post-rating feedback mechanism to generate interactive preference parameters. To evaluate the performance of the proposed method, it is compared with traditional collaborative filtering on the MovieLens dataset. The results indicate the superiority of the GRIP recommender for multi-users regarding both validity and accuracy.

关键词： attribute space continuity collaborative filtering group recommender interactive preference

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An Updated GA Signaling ＇Relief of Repression＇ Regulatory Model

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Molecular Plant 2011年第4期4卷 601-606页

作者： Xiu-Hua Gao Sen-lin xiao qin-Fang Yao Yu-Juan Wang Xiang-Dong Fu State Key Laboratory of Plant Cell and Chromosome Engineering Institute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing100101 China

Gibberellic acid （GA） regulates many aspects of plant growth and development. The DELLA proteins act to restrain plant growth, and GA relieves this repression by promoting their degradation via the 26S proteasome pathway. The elucidation of the crystalline structure of the GA soluble receptor GID1 protein represents an important breakthrough for understanding the way in which GA is perceived and how it induces the destabilization of the DELLA proteins. Recent advances have revealed that the DELLA proteins are involved in protein-protein interactions within various environmental and hormone signaling pathways. In this review, we highlight our current understanding of the ＇relief of repression＇ model that aims to explain the role of GA and the function of the DELLA proteins, incorporating the many aspects of cross-talk shown to exist in the control of plant development and the response to stress.

关键词： GA DELLA repression cross-talk interaction.

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Algorithm of automatic identification of diabetic retinopathy foci based on ultra-widefield scanning laser ophthalmoscopy

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International Journal of Ophthalmology(English edition) 2024年第4期17卷 610-615页

作者： Jie Wang Su-Zhen Wang xiao-lin qin Meng Chen Heng-Ming Zhang Xin Liu Meng-Jun Xiang Jian-Bin Hu Hai-Yu Huang Chang-Jun Lan Aier Eye Hospital(East of Chengdu) Chengdu 610051Sichuan ProvinceChina Department of Ophthalmology Chengdu First People’s HospitalChengdu 610095Sichuan ProvinceChina School of Computer and Artificial Intelligence Southwest Jiaotong UniversityChengdu 610097Sichuan ProvinceChina Chengdu Aier Eye Hospital Chengdu 610041Sichuan ProvinceChina

AIM:To propose an algorithm for automatic detection of diabetic retinopathy(DR)lesions based on ultra-widefield scanning laser ophthalmoscopy(SLO).METHODS:The algorithm utilized the FasterRCNN(Faster Regions with CNN features)+ResNet50(Residua Network 50)+FPN(Feature Pyramid Networks)method for detecting hemorrhagic spots,cotton wool spots,exudates,and microaneurysms in DR ultra-widefield *** segmentation combined with a deeper residual network FasterRCNN+ResNet50 was employed for feature extraction to enhance intelligent learning *** fusion was carried out by the feature pyramid network FPN,which significantly improved lesion detection rates in SLO fundus ***:By analyzing 1076 ultra-widefield SLO images provided by our hospital,with a resolution of 2600×2048 dpi,the accuracy rates for hemorrhagic spots,cotton wool spots,exudates,and microaneurysms were found to be 87.23%,83.57%,86.75%,and 54.94%,***:The proposed algorithm demonstrates intelligent detection of DR lesions in ultra-widefield SLO,providing significant advantages over traditional fundus color imaging intelligent diagnosis algorithms.

关键词： diabetic retinopathy ultra-widefield scanning laser ophthalmoscopy intelligent diagnosis system

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糙米核桃亚麻籽油复合饮品配方工艺的研究

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粮食与油脂 2020年第8期33卷 38-41页

作者：林小琴厦门惠尔康食品有限公司福建厦门361004

以糙米、核桃、亚麻籽油为主要原料,研究糙米核桃亚麻籽油合饮品的配方工艺参数。结果表明,最佳的配方参数为糙米添加量2.46%、脱皮核桃添加量1.87%、亚麻籽油添加量0.5%、白砂糖添加量6%;复合乳化剂和稳定剂的配比为蔗糖脂肪酸酯添加量... 详细信息

以糙米、核桃、亚麻籽油为主要原料,研究糙米核桃亚麻籽油合饮品的配方工艺参数。结果表明,最佳的配方参数为糙米添加量2.46%、脱皮核桃添加量1.87%、亚麻籽油添加量0.5%、白砂糖添加量6%;复合乳化剂和稳定剂的配比为蔗糖脂肪酸酯添加量0.03%、单双甘油脂肪酸酯(GMS)添加量0.10%、硬脂酰乳酸钠添加量0.15%、黄原胶添加量0.02%。在此条件下,制得的产品口感清爽细腻、风味独特且稳定性良好。

关键词：糙米核桃亚麻籽油饮品配方工艺

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A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning

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Journal of Clinical and Translational Hepatology 2021年第5期9卷 682-689页

作者： Yu-Jie Li Kun-Hua Zhong Xue-Hong Bai Xi Tang Peng Li Zhi-Yong Yang Hong-Yu Zhi xiao-Jun Li Yang Chen Peng Deng xiao-lin qin Jian-Teng Gu Jiao-lin Ning Kai-Zhi Lu Ju Zhang Zheng-Yuan Xia Yu-Wen Chen Bin Yi Department of Anaesthesiology Southwest HospitalThird Military Medical University(First Affiliated Hospital of Army Medical University)ChongqingChina Chengdu Institute of Computer Applications Chinese Academy of SciencesChengduSichuanChina University of Chinese Academy of Sciences BeijingChina Chongqing Institute of Green and Intelligent Technology Chinese Academy of ScienceChongqingChina Department of Anaesthesiology Li Ka Shing Faculty of MedicineThe University of Hong KongHong KongChina

Background and Aims:Screening for hepatopulmonary syndrome in cirrhotic patients is limited due to the need to perform contrast enhanced echocardiography(CEE)and arterial blood gas(ABG)*** aimed to develop a simple and quick method to screen for the presence of intrapulmonary vascular dilation(IPVD)using noninvasive and easily available variables with machine learning(ML)***:Cirrhotic patients were enrolled from our *** eligible patients underwent CEE,ABG analysis and physical *** developed a twostep model based on three ML algorithms,namely,adaptive boosting(termed AdaBoost),gradient boosting decision tree(termed GBDT)and eXtreme gradient boosting(termed Xgboost).Noninvasive variables were input in the first step(the NI model),and for the second step(the NIBG model),a combination of noninvasive variables and ABG results were *** performance was determined by the area under the curve of receiver operating characteristics(AUCROCs),precision,recall,F1-score and ***:A total of 193 cirrhotic patients were ultimately *** AUCROCs of the NI and NIBG models were 0.850(0.738–0.962)and 0.867(0.760–0.973),respectively,and both had an accuracy of 87.2%.For both negative and positive cases,the recall values of the NI and NIBG models were both 0.867(0.760–0.973)and 0.875(0.771–0.979),respectively,and the precisions were 0.813(0.690–0.935)and 0.913(0.825–1.000),***:We developed a two-step model based on ML using noninvasive variables and ABG results to screen for the presence of IPVD in cirrhotic *** model may partly solve the problem of limited access to CEE and ABG by a large numbers of cirrhotic patients.

关键词： Hepatopulmonary syndrome Intrapulmonary vascular dilation Cirrhosis Screening Machine learning

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再现温家宝总理修辞外交风采的优选翻译策略

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福建师范大学学报（哲学社会科学版） 2012年第5期 63-69页

作者：林晓琴福建师范大学外国语学院福建福州350108

本文借鉴肯尼斯.博克(Kenneth Burke)的"戏剧五位一体"理论模式,从目的—手段关系比与场景—手段关系比的角度解析温家宝总理外交演讲的修辞动机,并运用修辞实例着重探讨相应的优选翻译策略。在正确解读修辞动机的前提下,译者综合考虑... 详细信息

本文借鉴肯尼斯.博克(Kenneth Burke)的"戏剧五位一体"理论模式,从目的—手段关系比与场景—手段关系比的角度解析温家宝总理外交演讲的修辞动机,并运用修辞实例着重探讨相应的优选翻译策略。在正确解读修辞动机的前提下,译者综合考虑受众的接受心理、演讲者的观点主张与特定的修辞情景等要素,以达到预期功效为原则,以优选翻译策略为导向,以动态调整顺应为手段,如实传达并再现温家宝总理的修辞外交风采。

关键词：修辞外交 “戏剧五位一体” 动机与功效翻译策略

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功能理论在旅游宣传材料汉英翻译中的运用

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福建师范大学学报（哲学社会科学版） 2006年第2期 135-140页

作者：林晓琴福建师范大学外国语学院福建福州350007

作为对传统“等值”观的一个重大突破和翻译理论的重要补充,翻译功能理论也为旅游宣传材料的翻译策略研究开辟了新视角。本文以旅游宣传材料的汉英翻译为中心,分析了旅游宣传材料的功能及其在英、汉两种语言中的不同实现方式,着重联系... 详细信息

作为对传统“等值”观的一个重大突破和翻译理论的重要补充,翻译功能理论也为旅游宣传材料的翻译策略研究开辟了新视角。本文以旅游宣传材料的汉英翻译为中心,分析了旅游宣传材料的功能及其在英、汉两种语言中的不同实现方式,着重联系翻译功能理论论述相关的英译原则并探讨具体的翻译策略,最后提出此项研究的时代重要性。

关键词：旅游宣传材料翻译功能理论翻译策略

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冰心翻译思想的爱心伦理阐释

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上海翻译 2019年第4期 38-41,59页

作者：林晓琴福州外语外贸学院

以生态翻译学倡导的"译者主导"与"译者中心"为理论依据,借助其对相关翻译行为与翻译现象的解释力,结合冰心所秉持的"爱"的哲学理念,可对其翻译思想进行新视角的爱心伦理解读。本文藉此论证了冰心翻译思想的主线与核心,重点围绕译者主体... 详细信息

以生态翻译学倡导的"译者主导"与"译者中心"为理论依据,借助其对相关翻译行为与翻译现象的解释力,结合冰心所秉持的"爱"的哲学理念,可对其翻译思想进行新视角的爱心伦理解读。本文藉此论证了冰心翻译思想的主线与核心,重点围绕译者主体性的发挥从五个方面阐释了冰心翻译活动的爱心践行与展现:(1)坚持译有所爱;(2)投入译前准备;(3)维护生态平衡;(4)注重读者感受;(5)推行女性主义。

关键词：冰心翻译思想译者主体爱心伦理

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黄河流域城市生态福利绩效格局分异及空间收敛分析

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软科学 2021年第2期35卷 46-53页

作者：肖黎明肖沁霖山西师范大学经济与管理学院山西临汾041000

基于高质量发展理念,运用改进的SFA方法测度了2004〜2017年黄河流域79个地市的生态福利绩效值,考察其生态福利绩效的空间分异特征,运用动态空间杜宾模型对其收敛性进行探讨。结果发现:黄河流域城市生态福利绩效整体稳步上升,呈现以山西... 详细信息

基于高质量发展理念,运用改进的SFA方法测度了2004〜2017年黄河流域79个地市的生态福利绩效值,考察其生态福利绩效的空间分异特征,运用动态空间杜宾模型对其收敛性进行探讨。结果发现:黄河流域城市生态福利绩效整体稳步上升,呈现以山西为重心的“西北-东南”分布格局,且一直保持“东强西弱”的空间非均衡态势。考虑空间互动,流域及其中下游地区的生态福利绩效存在绝对β收敛,但上游却不存在;引入控制变量,流域及其上中下游地区均存在条件β收敛,收敛速度显著提升,表现出“下游>中游>上游”的梯度递减特征,但相关变量对收敛显著性的影响不尽相同。因此,未来应构建高质量绿色发展的长效合作交流机制,不断完善空间溢出渠道,促进城市生态福利绩效协同提升,使各地在错位分工中形成优势互补的高质量发展格局。

关键词：黄河流域城市生态福利绩效空间格局收敛性

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