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F1 2022的“拼图”完成内幕人士解答下一代赛车的种种疑问

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汽车之友 2021年第18期 80-83页

作者：钱俊 vince mignott(图) FIA(图) FOM(图) 不详

7月的英国大奖赛期间,明年启用的"下一代赛车"全比例实车(案例)公之于众。她能否不辱使命,真正改变大奖赛的面貌?一位不愿透露姓名的内幕人士做出了自己的判断。《汽车之友》·冲程本期为您带来问答节选问:过往,F1管理机构发布新版技术... 详细信息

7月的英国大奖赛期间,明年启用的"下一代赛车"全比例实车(案例)公之于众。她能否不辱使命,真正改变大奖赛的面貌?一位不愿透露姓名的内幕人士做出了自己的判断。《汽车之友》·冲程本期为您带来问答节选问:过往,F1管理机构发布新版技术规则后,都是有些战战兢兢地看各支车队如何去"解释"。这回,他们自己的技术团队还"交付"了一辆新车。这其中的缘由是?

关键词：内幕人士管理机构技术团队赛车大奖赛不辱使命

Arithmetic and Fourier transform for the PYXIS multi-resolution digital Earth model

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International Journal of Digital Earth 2009年第1期2卷 59-79页

作者： A.vince X.Zheng Department of Mathematics University of FloridaGainesvilleFL 32611-8105USA Department of Arts and Sciences Voorhees CollegeDenmarkSC 29042USA

This paper investigates a multi-resolution digital Earth model called PYXIS,which was developed by PYXIS Innovation *** PYXIS hexagonal grids employ an efficient hierarchical labeling scheme for addressing *** provide a recursive definition of the PYXIS grids,a systematic approach to the labeling,an algorithm to add PYXIS labels,and a discussion of the discrete Fourier transform on PYXIS grids.

关键词： discrete grid digital Earth Fourier transform

MART(Splitting-Merging Assisted Reliable)Independent Component Analysis for Extracting Accurate Brain Functional Networks

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Neuroscience Bulletin 2024年第7期40卷 905-920页

作者： Xingyu He vince D.Calhoun Yuhui Du School of Computer and Information Technology Shanxi UniversityTaiyuan 030006China Tri-Institutional Center for Translational Research in Neuroimaging and Data Science Georgia State UniversityGeorgia Institute of TechnologyEmory UniversityAtlanta 30303USA

Functional networks(FNs)hold significant promise in understanding brain *** component analysis(ICA)has been applied in estimating FNs from functional magnetic resonance imaging(fMRI).However,determining an optimal model order for ICA remains challenging,leading to criticism about the reliability of FN ***,we propose a SMART(splitting-merging assisted reliable)ICA method that automatically extracts reliable FNs by clustering independent components(ICs)obtained from multi-model-order ICA using a simplified graph while providing linkages among FNs deduced from different-model *** extend SMART ICA to multi-subject fMRI analysis,validating its effectiveness using simulated and real fMRI *** on simulated data,the method accurately estimates both group-common and group-unique components and demonstrates robustness to *** two age-matched cohorts of resting fMRI data comprising 1,950 healthy subjects,the resulting reliable group-level FNs are greatly similar between the two cohorts,and interestingly the subject-specific FNs show progressive changes while age ***,both small-scale and large-scale brain FN templates are provided as benchmarks for future *** together,SMART ICA can automatically obtain reliable FNs in analyzing multi-subject fMRI data,while also providing linkages between different FNs.

关键词： Independent component analysis Functional magnetic resonance imaging-Brain functional networks Clustering Multi-model-order

Data-driven multimodal fusion:approaches and applications in psychiatric research

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Psychoradiology 2023年第1期3卷 135-153页

作者： Jing Sui Dongmei Zhi vince D Calhoun State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Tni-institutional Center for Translational Research in Neuroimaging and Data Science(TReNDS) Georgia Institute of TechnologyEmory University and Georgia State UniversityAtlantaGA 30303United States

In the era of big data,where vast amounts of information are being generated and collected at an unprecedented rate,there is a pressing demand for innovative data-driven multi-modal fusion *** methods aim to integrate diverse neuroimaging per-spectives to extract meaningful insights and attain a more comprehensive understanding of complex psychiatric ***,analyzing each modality separately may only reveal partial insights or miss out on important correlations between different types of *** is where data-driven multi-modal fusion techniques come into *** combining information from multiple modalities in a synergistic manner,these methods enable us to uncover hidden patterns and relationships that would otherwise remain *** this paper,we present an extensive overview of data-driven multimodal fusion approaches with or without prior information,with specific emphasis on canonical correlation analysis and independent component *** applications of such fusion methods are wide-ranging and allow us to incorporate multiple factors such as genetics,environment,cognition,and treatment outcomes across various brain *** summarizing the diverse neuropsychiatric magnetic resonance imaging fusion applications,we further discuss the emerging neuroimaging analyzing trends in big data,such as N-way multimodal fusion,deep learning approaches,and clinical ***,multimodal fusion emerges as an imperative approach providing valuable insights into the under-lying neural basis of mental disorders,which can uncover subtle abnormalities or potential biomarkers that may benefit targeted treatments and personalized medical interventions.

关键词： multimodal fusion approach data driven functional magnetic resonance imaging(fMRI) structural MRI diffusion mag-netic resonance imaging independent component analysis canonical correlation analysis psychiatric disorder

Pharmaceutical compounds in aquatic environment in China： locally screening and environmental risk assessment

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Frontiers of Environmental Science & Engineering 2015年第3期9卷 394-401页

作者： Yongshan CHEN Xiuping XI Gang YU Qiming CAO Bin WANG Franfois vince Youwei HONG Key Laboratory of Urban Environment and Health Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China School of Environment THU-VEOLIA Joint Research Center for Advanced Environmental Technology Tsinghua University Beijing 100084 China

An environmental risk assessment was performed for pharmaceutical compounds present in the aquatic environment of China. Predicted environmental concentration （PEC） of the compounds were calculated according to European Medicines Evaluation Agency （EMEA） guidelines. Available ecotoxicological data compromised by applying a very conservative assessment factor （AF） were employed to calculate the predicted noeffect concentration （PNEC）. The screening principle and the risk assessment were based on risk quotient （RQ）, which derived from the PEC and related PNEC values. PEC results indicated that all the compounds except sulfadimethoxine and levocamitine, should carry out phase II risk assessment in EMEA guideline. RQ values suggested that more than 36 pharmaceuticals may be imposed health threats to the aquatic environment; especially the antibiotic therapeutic class including amoxicillin, sulfasalazine, trimethoprim, oxytetracycline and erythromycin showed high RQ values. These substances with high RQ value （RQ≥ 1） were regarded as top- priority pharmaceuticals for control in the aquatic environment of China. However, the antibiotic substances which had low risk quotient （RQ 〈 1）, should be reassessed by its potentially induced resistance under low concentration in future.

关键词： pharmaceuticals aquatic environment risk assessment aquatic toxicity risk quotient

Symbolic Control of Hybrid Systems from Signal Temporal Logic Specifications

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Guidance, Navigation and Control 2021年第2期1卷 60-84页

作者： Rafael Rodrigues da Silva vince Kurtz Hai Lin Department of Electrical Engineering University of Notre DameNotre DameIN 46556USA

In safety-critical systems,it is desirable to automatically synthesize controllers for complex tasks with guaranteed safety and *** much progress has been made through controller synthesis from temporal logic speci-cations,existing approaches generally require conservative assumptions and do not scale well with system *** propose a scalable,provably complete algorithm that synthesizes continuous trajectories for hybrid systems to satisfy temporal logic ***-cally,we harness highly e±cient Boolean satis-ability(SAT)and Linear Programming(LP)solvers to-nd trajectories that satisfy nonconvex Signal Temporal Logic(STL)speci-cations for a class of high dimensional hybrid *** proposed design algorithms are proven sound and complete,and are validated in simulation experiments.

关键词： Signal temporal logic motion planning hybrid systems trajectory synthesis symbolic control