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Frontiers of Computer Science 2024年第2期18卷 217-229页

作者： yizheng wang Xin ZHANG Ying JU Qing LIU Quan ZOU Yazhou ZHANG Yijie DING Ying ZHANG Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Yangtze Delta Region Institute(Quzhou) University of Electronic Science and Technology of ChinaQuzhou 324000China Beidahuang Industry Group General Hospital Harbin 150088China School of Informatics Xiamen UniversityXiamen 361005China Department of Anesthesiology Hospital(T.C.M)Affiliated to Southwest Medical UniversityLuzhou 646000China Software Engineering College Zhengzhou University of Light IndustryZhengzhou 450002China

Numerous studies have demonstrated that human microRNAs(miRNAs)and diseases are associated and studies on the microRNA-disease association(MDA)have been *** developed a model using a low-rank approximation-based link propagation algorithm with Hilbert–Schmidt independence criterion-based multiple kernel learning(HSIC-MKL)to solve the problem of the large time commitment and cost of traditional biological experiments involving miRNAs and diseases,and improve the model *** constructed three kernels in miRNA and disease space and conducted kernel fusion using *** propagation uses matrix factorization and matrix approximation to effectively reduce computation and time *** results of the experiment show that the approach we proposed has a good effect,and,in some respects,exceeds what existing models can do.

关键词： human miRNA-disease association multiple kernel learning link propagation miRNA similarity disease similarity

SBSM-Pro: support bio-sequence machine for proteins

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Science China(Information Sciences) 2024年第11期67卷 148-163页

作者： yizheng wang Yixiao ZHAI Yijie DING Quan ZOU Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Yangtze Delta Region Institute (Quzhou) University of Electronic Science and Technology of China

Proteins play a pivotal role in biological systems. The use of machine learning algorithms for protein classification can assist and even guide biological experiments, offering crucial insights for biotechnological applications. We introduce the support bio-sequence machine for proteins(SBSM-Pro), a model purpose-built for the classification of biological sequences. This model starts with raw sequences and groups amino acids based on their physicochemical properties. It incorporates sequence alignment to measure the similarities between proteins and uses a novel multiple kernel learning(MKL) approach to integrate various types of information, utilizing support vector machines for classification prediction. The results indicate that our model demonstrates commendable performance across ten datasets in terms of the identification of protein function and post translational modification. This research not only exemplifies state-of-the-art work in protein classification but also paves avenues for new directions in this domain, representing a beneficial endeavor in the development of platforms tailored for the classification of biological sequences. SBSM-Pro is available for access at http://***/soft/SBSM-Pro/.

关键词： protein classification machine learning multiple kernel learning sequence alignment

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融合视网膜运动感知的视频目标分割

计算机应用与软件 2024年第8期41卷 240-246,302页

作者：吴婷李椋王刚高晋陈明松王以政南华大学湖南衡阳421001 军事认知与脑科学研究所北京100850 中国科学院自动化研究所北京100190

视频目标分割容易受到目标快速运动、目标遮挡等情形的影响,因此高精度的视频目标分割是极具挑战性的任务。利用光流可以促进物体的分割,但运动边界附近区域的光流往往计算得不准确,从而间接影响了基于光流的视频目标分割性能的提升。... 详细信息

视频目标分割容易受到目标快速运动、目标遮挡等情形的影响,因此高精度的视频目标分割是极具挑战性的任务。利用光流可以促进物体的分割,但运动边界附近区域的光流往往计算得不准确,从而间接影响了基于光流的视频目标分割性能的提升。为突破上述局限,结合生物视网膜大细胞通路模型所提取的运动轮廓信息,来辅助计算运动边界区域的光流,并与传统视频目标分割方法前景-背景分割结合,交替更新光流和分割。所提方法在公开数据集DAVIS-2016、SegTrack-v2、YouTube-Objects上的实验结果表明,该方法相比于基线方法其平均分割精度分别提升了2.2百分点、1.3百分点、1.9百分点。

关键词：视频目标分割视网膜模型图割模型光流算法

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星形胶质细胞在放射性脑损伤中的研究进展

军事医学 2024年第3期48卷 236-240页

作者：韩思缦陈怡霏沈东来王以政南华大学衡阳医学院军事科学院军事医学研究院研究生协作培养基地湖南衡阳421001 复旦大学附属华山医院老年临床疾病医学研究中心上海200040

放射性脑损伤是正常脑组织接受电离辐射后出现的严重颅脑损伤,表现为认知功能障碍、学习和记忆能力下降,严重者可导致痴呆。目前,现有药物对于放射性脑损伤的治疗效果有限,且预后较差。电离辐射诱导星形胶质细胞发生病理性激活,进而通... 详细信息

放射性脑损伤是正常脑组织接受电离辐射后出现的严重颅脑损伤,表现为认知功能障碍、学习和记忆能力下降,严重者可导致痴呆。目前,现有药物对于放射性脑损伤的治疗效果有限,且预后较差。电离辐射诱导星形胶质细胞发生病理性激活,进而通过诱导神经炎症和破坏血脑屏障促进了放射性脑损伤的进程。该文主要综述了星形胶质细胞的生理病理功能及其在放射性脑损伤中的病理变化和细胞机制。同时,对靶向星形胶质细胞的治疗潜力进行展望,为扩展放射性脑损伤的治疗手段,探索新的治疗靶点和方法提供参考。

关键词：放射性脑损伤认知障碍星形胶质细胞神经炎症血脑屏障

基于总注视时长的自动售货机智能推荐系统实验研究

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包装工程 2024年第18期45卷 183-191页

作者：刘平义王译正武晓宇张杰刘凯中国农业大学北京100091

目的如何缓解消费者面对系列文创产品的决策困难问题,辅助消费者决策并提升购物体验是无人零售领域亟待解决的问题,眼动追踪技术为无人零售的人机交互体验提供了新机遇。方法针对文创售货机,利用眼动追踪技术提出了一种基于总注视时... 详细信息

目的如何缓解消费者面对系列文创产品的决策困难问题,辅助消费者决策并提升购物体验是无人零售领域亟待解决的问题,眼动追踪技术为无人零售的人机交互体验提供了新机遇。方法针对文创售货机,利用眼动追踪技术提出了一种基于总注视时长的自动售货机单因素智能推荐方法,搭建了文创售货机货柜模拟场景完成实验验证。经过眼动数据分析结合主观访谈,探讨分析了该方法对消费者购买意图的预测情况,以及在不同推荐策略下的推荐效果。结果利用此推荐方法,当推荐3个商品时,命中至少1个消费者意愿购买商品的概率为97.92%,且命中最爱商品概率为78.13%。结论该智能推荐方法能够有效预测消费者的购买意图、缩小决策范围辅助决策,并为实现自动售货机的智能化导购提供研究基础。

关键词：眼动追踪无人零售智能推荐购买意图文创产品

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Ca^(2+) signaling initiated by canonical transient receptor potential channels in dendritic development

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Neuroscience Bulletin 2015年第3期31卷 351-356页

作者： Shengjie Feng Zhuohao He Hongyu Li yizheng wang Laboratory of Neural Signal Transduction Institute of Neuroscience Shanghai Institutes of Biological Sciences State Key Laboratory of Neuroscience The Graduate School Chinese Academy of Sciences

The spatial patterns of dendritic structures diverge in different types of neurons as adaptations to their unique functions. Although different intracellular mechanisms underlying dendritic morphogenesis have been suggested, it is evident that the elevation in intracellular Ca2＋ levels plays a major role in the process. Canonical transient receptor potential （TRPC） channels, known to be non-selective Ca2＋-permeable cation channels, act as environmental detectors to sense and transduce extracellular signals into different intracellular responses, including the regulation of dendritic growth, via Ca2＋ influx. Here, we review recent advances in the understanding of Ca2＋ signaling, especially signals mediated by Ca2＋ influx via TRPC channels, and the underlying molecular events in dendritic development.

关键词： dendrite calcium TRPC neurotrophin

Research on Evaluation of Multi-Timescale Flexibility and Energy Storage Deployment for the High-Penetration Renewable Energy of Power Systems

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 1137-1158页

作者： Hongliang wang Jiahua Hu Danhuang Dong Cenfeng wang Feixia Tang yizheng wang Changsen Feng Economic Research Institute of State Grid Hangzhou310016China College of Information Engineering Zhejiang University of TechnologyHangzhou310023China

With the rapid and wide deployment of renewable energy,the operations of the power system are facing greater challenges when dispatching flexible resources to keep power *** output power of renewable energy is uncertain,and thus flexible regulation for the power balance is highly *** the multi-timescale output characteristics of renewable energy,a flexibility evaluation method based on multi-scale morphological decomposition and a multi-timescale energy storage deployment model based on bi-level decision-making are proposed in this *** the multi-timescale decomposition algorithm on the basis of mathematical morphology,the multi-timescale components are separated to determine the flexibility requirements on different *** on the obtained flexibility requirements,a multi-timescale energy resources deployment model based on bi-level optimization is established considering the economic performance and the flexibility of system *** optimization model can allocate corresponding flexibility resources according to the economy,flexibility and reliability requirements of the power system,and achieve the trade-off between ***,case studies demonstrate the effectiveness of our model and method.

关键词： Multi-timescale morphological decomposition flexibility evaluation energy storage deployment

Optimal Pricing Strategy for Data Center Considering Demand Response and Renewable Energy Source Accommodation

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 345-354页

作者： Chenwei Jiang Chung-Li Tseng yizheng wang Zhou Lan Fushuan Wen Fei Chen Liang Liang School of Electrical Engineering Zhejiang UniversityHangzhou 310027China Economic and Technology Research Institute State Grid Zhejiang Electric Power Co.Ltd.Hangzhou 310000China UNSW Business School The University of New South WalesSydneyAustralia Department of Electrical Power Engineering and Mechatronics Tallinn University of TechnologyEstonia Jiaxing Power Supply Company State Grid Zhejiang Electric Power Co.Ltd.Jiaxing 314000China IEEE

With the continuous development of information technology,data centers(DCs)consume significant and evergrowing amounts of electrical *** energy sources(RESs)can act as clean solutions to meet this requirement without polluting the *** DC serves numerous users for their data service demands,which are regarded as flexible *** this paper,the willingness to pay and time sensitivities of DC users are firstly explored,and the user-side demand response is then devised to improve the overall benefits of DC ***,a Stackelberg game between a DC and its users is *** upper-level model aims to maximize the profit of the DC,in which the time-varying pricing of data services is optimized,and the lower-level model addresses user’s optimal decisions for using data services while balancing their time and cost *** original bi-level optimization problem is then transformed into a single-level problem using the Karush-Kuhn-Tucker optimality conditions and strong duality theory,which enables the problem to be solved ***,case studies are conducted to demonstrate the feasibility and effectiveness of the proposed method,as well as the effects of the time-varying data service price mechanism on the RES accommodation.

关键词： Data center(DC) demand response(DR) pricing strategy renewable energy source(RES) Stackelberg game

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原料对纳米氮化碳制备的影响

黑龙江科学 2024年第10期15卷 1-5页

作者：张迈王议正王彦明张晓亮李小飞王富兴河北工程大学材料科学与工程学院河北邯郸056038 科伦塑业集团股份有限公司河北邯郸057250

分别以三聚氰胺、二氰二胺、尿素为前驱体,在不同气氛下利用高温热聚合方制备g-C_(3)N_(4),优选制备方法,利用液相剥离法制备纳米g-C_(3)N_(4)。通过X射线衍射分析(XRD)和傅里叶变换红外光谱(FT-IR)表征分析不同原料制备的g-C_(3)N_(4)... 详细信息

分别以三聚氰胺、二氰二胺、尿素为前驱体,在不同气氛下利用高温热聚合方制备g-C_(3)N_(4),优选制备方法,利用液相剥离法制备纳米g-C_(3)N_(4)。通过X射线衍射分析(XRD)和傅里叶变换红外光谱(FT-IR)表征分析不同原料制备的g-C_(3)N_(4)的结构异同及在不同气氛下制备的g-C_(3)N_(4)结晶性的优劣。综合结晶性、晶面间距与外部条件,选择三聚氰胺为前驱体,对在空气气氛下制备的g-C_(3)N_(4)进行液相剥离处理,通过SEM图像表征分析可知,对纳米g-C_(3)N_(4)细胞粉碎时间越长粒径越小。结果表明,原料对纳米氮化碳制备的影响主要表现在结晶性和晶面间距上,以三聚氰胺为前驱体、在空气气氛下制备的g-C_(3)N_(4)来制备纳米氮化碳粒径发生了变化。

关键词：高温热聚合法纳米g-C_(3)N_(4) 液相超声剥离法三聚氰胺

PKCαphosphorylation of GLT-1 at Ser562/563 induces glutamate excitotoxicity in ischemia in mice

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Signal Transduction and Targeted Therapy 2022年第4期7卷 974-977页

作者： Yuqing wang Jun Du Shanshan Lu Xia Li Yifei Chen Chao Yuan Sheng-Tao Hou yizheng wang The Brain Science Center Beijing Institute of Basic Medical Sciences100850 BeijingChina Institute of Neuroscience Chinese Academy of Sciences200031 ShanghaiChina Brain Research Center and Department of Biology Southern University of Science and Technology1088 Xueyuan BlvdNanshan DistrictShenzhen518055 Guangdong ProvinceChina Huashan Hospital Fudan UniversityShanghaiChina

Dear Editor,Glutamate excitotoxicity due to its accumulation in the extracellular space is a major factor to the brain damage that occurs during the early stages of cerebral ***-1 is mainly expressed in astrocytes,and it is responsible for almost 90%of glutamate uptake in the *** GLT-1 upregulation under the administration of ceftriaxone reduces ischemic brain damage,translational application of ceftriaxone in acute ischemia treatment is limited because several days are needed for the upregulation of GLT-1^(3),which misses the critical time window during which suppression of excitotoxicity will be effective.

关键词： ischemia PKCα damage cerebral