检索结果-南通市图书馆

Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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

Journal of Energy Chemistry 2025年第1期 565-577页

作者： Shuquan Wang Feng gao Zhan Ma Hao Tian Yusen Zhang School of Control Science and Engineering Shandong University Key Lab of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

关键词：

revolutionizing breast cancer detection:Advances in fluorescent probe technology

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nano research 2025年第1期18卷 653-674页

作者： Qian gao Lin Tang Jun Zhan Yiyuan Xue Feng Luo State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical research Center for Oral Diseases West China Hospital of StomatologySichuan UniversityChengdu 610041China Emergency Obstetrics and Gynecology West China Second University HospitalSichuan UniversityChengdu 610041China Department of Obstetrics and Gynecology West China Second University HospitalSichuan UniversityChengdu 610041China Department of Prosthodontics West China School of StomatologySichuan UniversityChengdu 610041China

With the increasing incidence of breast cancer globally,there is an urgent demand for enhanced diagnostic and therapeutic *** comprehensive review explores advancements in fluorescent probe technology for breast cancer imaging and early *** probes offer unparalleled sensitivity and specificity in detecting cancer biomarkers,enabling early diagnosis and delineation of tumor margins during *** categorize these probes into molecular,nano,ratiometric,the second near-infrared window(NIr-II),and multifunctional varieties,each with unique capabilities for targeting specific cancer *** review highlights recent innovations in probe design,emphasizing their applications in pathogenesis studies,drug development,precision medicine,and fluorescence-guided *** their promising clinical potential,challenges such as safety,biomarker targeting accuracy,system compatibility,and clinical translation *** these hurdles is crucial for the integration of fluorescent probes into standard cancer care,aiming to improve treatment outcomes and patient quality of life.

关键词： breast cancer fluorescent probes imaging early diagnosis biomarker

Self-Triggered Impulsive Control for Nonlinear Stochastic Systems

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

IEEE/CAA Journal of Automatica Sinica 2025年第1期 264-266页

作者： Tao Zhan Yi Ji Yabin gao Hongyi Li Yuanqing Xia the School of Mathematics and Statistics Southwest University the School of Astronautics Harbin Institute of Technology IEEE the College of Electronic and Information Engineering Southwest University Zhongyuan University of Technology the School of Automation Beijing Institute of Technology

Dear Editor,This letter deals with the stabilization problem of nonlinear stochastic systems via self-triggered impulsive control(STIC), where the timing of impulsive control actions is not dependent on continuous state monitoring. In contrast to the existing self-triggered control method, novel self-triggered mechanism(STM) is proposed by incorporating a waiting time for stabilizing impulses. This allows for direct prediction of the next impulsive instant.

关键词：

峡部裂腰椎滑脱患者椎旁肌对脊柱-骨盆矢状面的影响:肌肉数量和质量的评估

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

中国组织工程研究 2025年第21期29卷 4445-4451页

作者：宋汉林胡天宇高浩然史耀洲高啸冯虎徐州医科大学附属医院江苏省徐州市221000

背景:横截面积和脂肪浸润为量化椎旁肌的标准参数,但是太过繁琐和费时,需要引入新的量化指标。目的:探讨峡部裂性腰椎滑脱患者椎旁肌和脊柱-骨盆矢状面参数测量值之间的关系,以及腰椎压痕值对矢状面平衡的预测价值。方法:选择诊断为峡... 详细信息

背景:横截面积和脂肪浸润为量化椎旁肌的标准参数,但是太过繁琐和费时,需要引入新的量化指标。目的:探讨峡部裂性腰椎滑脱患者椎旁肌和脊柱-骨盆矢状面参数测量值之间的关系,以及腰椎压痕值对矢状面平衡的预测价值。方法:选择诊断为峡部裂性腰椎滑脱的患者87例,均为Meyerding分型Ⅱ度滑脱,男40例,女47例,平均年龄(51.4±9.1)岁。测量患者脊柱-骨盆矢状面参数矢状面轴向距离、骨盆入射角、骨盆倾斜角、骶骨倾斜角、腰椎前凸角、胸椎后凸角、骨盆投射角与腰椎前凸角之差,以及腰椎旁肌的总横截面积、功能横截面积和脂肪浸润。使用Pearson相关分析法探讨矢状面参数与椎旁肌测量值的相关性;使用多元线性回归分析腰椎压痕值、年龄、性别和体质量指数对脊柱骨盆矢状面平衡的影响。通过受试者工作特征曲线寻找腰椎压痕值的最佳截断点,评价矢状面轴向距离和骨盆投射角与腰椎前凸角之差的关系。结果与结论:(1)根据Pearson相关分析结果,多裂肌总横截面积与腰椎前凸角(r=0.464,P r=-0.306,P r=0.367,P r=-0.228,P r=-0.300,P r=0.417,P r=0.351,P r=-0.319,P 11.5 mm的患者矢状面轴向距离≤50 mm发生率为96%(64/67);骨盆投射角与腰椎前凸角之差≤11.5 mm的患者骨盆投射角与腰椎前凸角之差≤10°的发生率为30%(6/20),而腰椎压痕值> 11.5 mm的患者骨盆投射角与腰椎前凸角之差≤10°的发生率为66%(44/67);(3)提示多裂肌总横截面积和功能横截面积均与腰椎前凸角和骨盆投射角与腰椎前凸角之差显著相关;腰椎压痕值作为评价椎旁肌退变的新指标,与矢状面轴向距离和骨盆投射角与腰椎前凸角之差独立相关,对术后矢状面矫正有一定的预测价值,是一种简单实用的评估脊柱-骨盆矢状面和椎旁肌退变的方法;椎旁肌的退变与脊柱-骨盆矢状面平衡有关。

关键词：峡部裂性腰椎滑脱横截面积腰椎压痕值脊柱-骨盆矢状面参数椎旁肌脂肪浸润

Bionic Artificial Self-recovery Enables Autonomous Health of Machine

在线全文

学校读者我要写书评

暂无评论

Journal of Bionic Engineering 2022年第6期19卷 1545-1561页

作者： gao Jinji Key Laboratory of Beijing for High-End Mechanical Equipment Health Monitoring and Self-recovery Beijing University of Chemical TechnologyBeijing100029China Key Laboratory of Engine Health Monitoring-Control and Networking of Ministry of Education Beijing University of Chemical TechnologyBeijing100029China

This paper explores Engineering self-recoveries theory,which emerged from the research of Bionics to meet the great demand of modern high-risk process manufacturing and the development of aerospace *** opens a new era in which artefact s learn from natural *** the rapid development of the industrial Internet and Artificial intelligence technology,we have gained a deep understanding of the law of fault generation and development,which provides an opportunity for the emergence of Engineering self-recoveries *** self-recoveries expands the research field of Cybernetics and Engineering cybernetics,endows machines with the self-recovery mechanism,which is unique to humans and animals,and enables machines to store,supplement and activate self-recovery power to maintain body *** research on Artificial intelligence has greatly enhanced the function of imitating the human brain,but has ignored the important system and function of humans and animals to maintain their own health—the self-recovery system and self-recovery *** intelligence imitates the conscious thinking control behaviour of the human brain to realize automation and intellectualization,making machines *** self-recovery can imitate the self-recovery mechanism of human unconscious thinking,and prevent and suppress faults in operation to realize self-recovery,possibly making machines *** self-recovery technology includes self-repair,compensation,self-protection and self-recovery *** self-recoveries is the basis of the autonomous health of machines and even artificial systems,and a new research field of *** has broad application prospects in engineering.

关键词： Engineering self-recoveries Bionics Artificial self-recovery Artificial intelligence Fault self-recovery regulation

Higher derivative scalar-tensor monomials and their classification

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

Science China(Physics,Mechanics & Astronomy) 2021年第1期64卷 41-54页

作者： Xian gao School of Physics and Astronomy Sun Yat-sen UniversityGuangzhou 510275China

We make a full classification of scalar monomials built of the riemann curvature tensor up to the quadratic order and of the covariant derivatives of the scalar field up to the third *** the point of view of the effective field theory,the third or even higher order covariant derivatives of the scalar field are of the same importance as the higher curvature terms,and thus should be taken into ***,the higher curvature terms and the higher order derivatives of the scalar field are complementary to each other,of which novel ghostfree combinations may *** make a systematic classification of all the possible monomials,according to the numbers of the riemann tensor and the higher derivatives of the scalar field in each monomial.A complete basis of monomials at each order is derived,of which the linear combinations may yield novel ghostfree *** also develop diagrammatic representations for the monomials,which may help to simplify the analysis.

关键词： scalar-tensor theory higher-derivative gravity modified gravity

Adaptive Generalized Eigenvector Estimating Algorithm for Hermitian Matrix Pencil

在线全文

学校读者我要写书评

暂无评论

IEEE/CAA Journal of Automatica Sinica 2022年第11期9卷 1967-1979页

作者： Yingbin gao the 54th research Institute of China Electronics Technology Group Corporation(CETC54) Shijiazhuang 050050China

Generalized eigenvector plays an essential role in the signal processing *** this paper,we present a novel neural network learning algorithm for estimating the generalized eigenvector of a Hermitian matrix *** from some traditional algorithms,which need to select the proper values of learning rates before using,the proposed algorithm does not need a learning rate and is very suitable for real *** analyzing all of the equilibrium points,it is proven that if and only if the weight vector of the neural network is equal to the generalized eigenvector corresponding to the largest generalized eigenvalue of a Hermitian matrix pencil,the proposed algorithm reaches to convergence *** using the deterministic discretetime(DDT)method,some convergence conditions,which can be satisfied with probability 1,are also obtained to guarantee its *** results show that the proposed algorithm has a fast convergence speed and good numerical *** real application demonstrates its effectiveness in tracking the optimal vector of beamforming.

关键词： Deterministic discrete-time(DDT) generalized eigenvector learning rate online estimation

FHL2 deficiency aggravates Candida albicans infection through decreased myelopoiesis

在线全文

学校读者我要写书评

暂无评论

Science China Life Sciences 2025年

作者： rongmei gao Kanchao Chen Yimin Wang rongxia Guo Xiaoyu Zhang Peng Wu Weili Wang Qingxiang Huang Xuemei Xie Shangda Yang Yanling Lü Qian ren Fei Liu Song Chen Fengxia Ma Tao Cheng Hui Cheng State Key Laboratory of Experimental Hematology National Clinical Research Center for Blood Diseases Haihe Laboratory of Cell Ecosystem Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College CAMS Center for Stem Cell Medicine PUMC Department of Stem Cell and Regenerative Medicine

Hematopoiesis is a finely tuned process that generates all blood cell types through self-renewal and differentiation, which is crucial for maintaining homeostasis. Acute infections can prompt a hematopoietic response known as emergency myelopoiesis. In this study, using a Candida albicans (C. albicans) infection model, we demonstrated for the first time that disruption of Fhl2 led to increased fungal burden,heightened inflammatory response and reduced survival rates. Impaired myeloid hematopoiesis and immune cell production were evident, as proved by the decreased numbers of hematopoietic stem and progenitor cells (HSPCs) and granulocytes in the bone marrow of Fhl2-deficient mice. In conclusion, FHL2 regulated emergency myelopoiesis in response to C. albicans, affecting the host’s defense against pathogens.

关键词：

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

基于混合语义的切片级智能合约重入漏洞检测

计算机工程与应用 2025年第1期61卷 321-329页

作者：江姝晨牛保宁高彦太原理工大学计算机科学与技术学院山西晋中030600

针对现有基于深度学习的漏洞检测方法主要集中在源代码的单一表现形式上,无法完全捕获源代码中包含的丰富语义信息和结构信息,以及大多数方法基于函数粒度,检测样本存在大量与漏洞无关的冗余代码导致检测精度下降的问题,聚焦于智能合约... 详细信息

针对现有基于深度学习的漏洞检测方法主要集中在源代码的单一表现形式上,无法完全捕获源代码中包含的丰富语义信息和结构信息,以及大多数方法基于函数粒度,检测样本存在大量与漏洞无关的冗余代码导致检测精度下降的问题,聚焦于智能合约最严重的漏洞之一,即重入漏洞,提出一种基于混合语义的切片级智能合约重入漏洞检测方法SCHyVulDect。根据漏洞特征关键字对智能合约进行切片操作,获得合约切片;构建合约切片的代码图,通过图注意力网络(graph attention network,GAT)提取其深层语义信息。并使用双向长短期记忆网络(bidirectional long-short term memory,Bi-LSTM)和注意力机制,提取切片代码的上下文序列特征,将提取的图结构特征和序列特征进行融合,从而进行漏洞检测。实验结果表明,SCHyVulDect检测重入漏洞的精确率、召回率和F1值分别为96.36%、94.45%、91.70%,比现有的基于深度学习的智能合约漏洞检测方法的精确率提高13.03~18.00个百分点,具有较好的检测效果。

关键词：区块链智能合约漏洞检测图注意力网络混合语义