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Thermoelectric Properties of an Indandione-Terminated Quinoidal Compound:Effect of the n-Type Dopants

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Chinese Journal of Chemistry 2024年第9期42卷 997-1003页

作者： Yingying Liu Cheng Wang Tianzuo Wang Fei Jiao Shaoqiang Dong Yunfeng Deng Yanhou geng School of Materials Science and Engineering and Tianjin Key Laboratory of Molecular Optoelectronic Science Tianjin Universityand Collaborative Innovation Center of Chemical Science and Engineering(Tianjin)Tianjin 300072China Institute of Molecular Aggregation Science Tianjin UniversityTianjin 300072China Tianjin Key Laboratory of Molecular Optoelectronic Science Department of ChemistrySchoolof ScienceTianjin UniversityTianjin300072China Joint Schoolof NationalUniversity of Singapore and Tianjin University International Campus of Tianjin UniversityBinhai New City FuzhouFujian350207China

The investigation of n-type doping holds a significant interest for the application of ***,the doping of an indandione-terminated compound Q-4F with a singlet open-shell ground state was studied using two n-dopants N-DMBI and *** of these two dopants can effectively dope Q-4F due to the large offset between the singly occupied molecular orbital(SOMO)of dopants and the lowest unoccupied molecular orbital(LUMO)of Q-4F.N-DMBI has a higher doping ability than LCV as demonstrated by the UV-vis-NIR and EPR ***,in comparison to N-DMBI doped Q-4F,LCV doped system exhibits much higher electrical conductivity and power factor due to its unperturbed molecular packing and favorable morphology after *** optimal conductivity of LCV doped Q-4F is 7.16×10^(-2)±0.16 S·cm^(-1) and the highest power factor reaches 12.3±0.85μW·m–1·K^(-2).These results demonstrate that the modulation of n-dopants is a powerful strategy to balance the doping efficiency and microstructure toward a maximum thermoelectric performance.

关键词： n-Doping Indandione Quinoidal compounds Organic thermoelectrics Electron transfer Organic electronics Energy conversion

Exploring impacts of COVID-19 on spatial and temporal patterns of visitors to Canadian Rocky Mountain National Parks from social media big data

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Journal of Forestry Research 2024年第4期35卷 13-33页

作者： Dehui Christina geng Amy Li Jieyu Zhang Howie W.Harshaw Christopher Gaston Wanli Wu Guangyu Wang National Park Research Centre Faculty of ForestryUniversity of British ColumbiaVancouver V6T 1Z4Canada Faculty of Applied Science University of British ColumbiaVancouver V6T 1Z3Canada Paul G.Allen School of Computer Science&Engineering University of WashingtonSeattleWA 98195USA Faculty of Kinesiology Sportand RecreationUniversity of AlbertaEdmonton T6G 2J9Canada Department of Wood Science Faculty of ForestryUniversity of British ColumbiaVancouver V6T 1Z4Canada

COVID-19 posed challenges for global tourism *** in visitor temporal and spatial patterns and their associated determinants pre-and peri-pandemic in Canadian Rocky Mountain National Parks are *** was collected through social media programming and analyzed using spatiotemporal analysis and a geographically weighted regression(GWR)*** highlight that COVID-19 significantly changed park visitation *** tended to explore more remote areas *** GWR model also indicated distance to nearby trails was a significant influence on visitor *** results indicate that the pandemic influenced tourism temporal and spatial *** research presents a novel approach using combined social media big data which can be extended to the field of tourism management,and has important implications to manage visitor patterns and to allocate resources efficiently to satisfy multiple objectives of park management.

关键词： Tourism management Social media big data National parks COVID-19 Geographical weighted regression

A time-synchronized multimodal monitoring system for general anesthesia

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Medicine in Novel Technology and Devices 2024年第3期23卷 116-127页

作者： Zhenhu Liang Guanwei geng Qifeng Song Mengmeng Tang Institute of Electrical Engineering Yanshan UniversityQinhuangdao066004China Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province Qinhuangdao066004China

In clinical settings,different kinds of patient monitoring systems and depth of anesthesia monitoring(DoA)systems have been widely used to assess the depth of sedation and patient's ***,all these monitoring systems are independent of each *** date,no monitoring system has focused on the synchronized neural activities,cerebral metabolism,autonomic nervous system,and drug effects on the brain,as well as their interactions between neural activities and cerebral metabolism(i.e.,neurovascular coupling),and between brain and heart(i.e.,brain-heart coupling).In this study,we developed a time-synchronized multimodal monitoring system(TSMMS)that integrates electroencephalogram(EEG),near-infrared spectroscopy(NIRS),and standard physiological monitors(electrocardiograph,blood pressure,oxygen saturation)to provide a comprehensive view of the patient's physiological state during *** coherence and Granger causality(GC)methods were used to quantify the neurovascular coupling and brain-heart *** response surface model was used to estimate the combined propofol-remifentanil drug effect on the *** integrates data from various devices for a comprehensive analysis of vital *** enhances anesthesia monitoring through detailed EEG features,neurovascular,and brain-heart coupling ***,a response surface model estimates the combined effects of propofol and remifentanil,aiding anesthesiologists in drug *** conclusion,TSMMS provides a new tool for studying the coupling mechanism among neural activities,cerebral metabolism,and autonomic nervous system during general anesthesia.

关键词： General anesthesia Multimodal monitoring system Time-synchronized Neurovascular coupling Brain-heart coupling

Decoupled knowledge distillation method based on meta-learning

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High-Confidence Computing 2024年第1期4卷 1-6页

作者： Wenqing Du Liting geng Jianxiong Liu Zhigang Zhao Chunxiao Wang Jidong Huo Key Laboratory of Computing Power Network and Information Security Ministry of EducationShandong Computer Science Center(National Supercomputer Center in Jinan)Qilu University of Technology(Shandong Academy of Sciences)Jinan 250014China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer ScienceJinan 250014China Aerospace Science&Industry Network Information Development Co. LTDBeijing 100854China

With the advancement of deep learning techniques,the number of model parameters has been increasing,leading to significant memory consumption and limits in the deployment of such models in real-time *** reduce the number of model parameters and enhance the generalization capability of neural networks,we propose a method called Decoupled MetaDistil,which involves decoupled *** method utilizes meta-learning to guide the teacher model and dynamically adjusts the knowledge transfer strategy based on feedback from the student model,thereby improving the generalization ***,we introduce a decoupled loss method to explicitly transfer positive sample knowledge and explore the potential of negative samples *** experiments demonstrate the effectiveness of our method.

关键词： Model compression Knowledge distillation Meta-learning Decoupled loss

Generic singularities for 2D pressureless flows

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Science China Mathematics 2024年

作者： Alberto Bressan geng Chen Shoujun Huang Department of Mathematics Penn State University University Park Department of Mathematics University of Kansas College of Mathematical Medicine Zhejiang Normal University

In this paper, we consider the Cauchy problem for pressureless gases in two space dimensions with the generic smooth initial data(density and velocity). These equations give rise to singular curves, where the mass has a positive density with respect to the 1-dimensional Hausdorff measure. We observe that the system of equations describing these singular curves is not hyperbolic. For analytic data, local solutions are constructed by using a version of the Cauchy-Kovalevskaya theorem. We then study the interaction of two singular curves in the generic position. Finally, for a generic initial velocity field, we investigate the asymptotic structure of the smooth solution up to the first time when a singularity is formed.

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Who could and should give exercise prescription:Physicians,exercise and health scientists,fitness trainers,or ChatGPT?

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Journal of Sport and Health Science 2024年第3期13卷 368-372页

作者： Weimo Zhu Wenguang geng Lingling Huang Xiong Qin Zezhao Chen Hai Yan Yunnan Plateau Thermal Health Industry Innovation Research Institute Tengchong 679100China Department of Kinesiology&Community Health University of Illinois at Urbana-ChampaignUrbanaIL 61801USA Department of Physical Education Nanjing Agricultural UniversityNanjing 210095China School of Sports Engineering Beijing Sport UniversityBeijing 100084China School of Strength and Conditioning Training Beijing Sport UniversityBeijing 100084China

Benefits of exercise for personal health,as well as preventing and treating chronic diseases,have been well documented during the past several decades.1 Exercise prescription is a specialized field that involves assessing an individual’s health status,fitness level,and specific goals to create a tailored exercise program based often on the FITT-VP principle.

关键词： prescription diseases assessing

How Does ESG Performance Impact Corporate Financing Costs?An Empirical Study in China

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Journal of Systems Science and Information 2024年第2期12卷 229-244页

作者： Wei LI Mei MEI Xiaoyan YU Jiahao WANG Tiangeng (Becky) geng School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China Institute of Medical Information&Library Chinese Academy of Medical SciencesBeijing 100005China Business and Management Royal HollowayUniversity of LondonSurrey TW200EXUK Krieger School of Arts and Sciences Johns Hopkins UniversityBaltimore MD 21218USA

In the background of the green transformation of the economy and society,the ESG performance of enterprises has been paid more and more attention in the investment ***,previous studies have inadequately explored how the ESG performance affects corporate financing *** on the information asymmetry theory,this paper analyzes the impact mechanism of ESG performance on corporate financing ***,taking 1044 A-share listed companies in2016–2020 as a sample,through the sorting and analysis of ESG report disclosure and rating data,the company’s ESG performance indicators are obtained,and an empirical model is built to test the relationship between ESG performance and corporate financing *** paper constructs a panel regression model using ESG rating data and corporate financial data and finds that in the overall sample,the higher the ESG performance,the lower the equity financing cost;The higher the ESG performance,the lower the debt financing *** addition,it also discussed the moderating effect of enterprise scale and media attention on the impact of ESG performance on enterprise financing *** empirical results show that the influence of company size on ESG performance on financing costs has a moderating effect and a positive moderating effect.

关键词： ESG performance financing cost corporate heterogeneity media attention

Approximate constructions of counterdiabatic driving withNMR quantum systems

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Chinese Physics B 2024年第9期33卷 83-91页

作者： Hui Zhou Xiaoli Dai Jianpei geng Yunlan Ji Xinhua Peng School of Physics Hefei University of TechnologyHefei 230009China Chinese Academy of Sciences Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences University of Science and Technology of ChinaHefei 230026China Chinese Academy of Sciences Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China

Counterdiabatic driving (CD) offers a fast and robust route to manipulate quantum systems, which has widespreadapplications in quantum technologies. However, for higher-dimensional complex systems, the exact CD term involving thespectral properties of the system is difficult to calculate and generally takes a complicated form, impeding its experimentalrealization. Recently, many approximate methods have been proposed for designing CD passages in many-body systems. Inthis topical review, we focus on the CD formalism and briefly introduce several experimental constructions and applicationsof approximate CD driving in spin-chain models with nuclear magnetic resonance (NMR) systems.

关键词： nuclear magnetic resonance quantum simulation quantum state engineering

CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation

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Science China(Information Sciences) 2024年第5期67卷 43-55页

作者： Yunfan SHAO Zhichao geng Yitao LIU Junqi DAI Hang YAN Fei YANG Zhe LI Hujun BAO Xipeng QIU School of Computer Science Fudan University Shanghai Key Laboratory of Intelligent Information Processing Fudan University Zhejiang Lab

In this paper, we take the advantage of previous pre-trained models(PTMs) and propose a novel Chinese pre-trained unbalanced transformer(CPT). Different from previous Chinese PTMs, CPT is designed to utilize the shared knowledge between natural language understanding(NLU) and natural language generation(NLG) to boost the performance. CPT consists of three parts: a shared encoder, an understanding decoder, and a generation decoder. Two specific decoders with a shared encoder are pretrained with masked language modeling(MLM) and denoising auto-encoding(DAE) tasks, *** the partially shared architecture and multi-task pre-training, CPT can(1) learn specific knowledge of both NLU or NLG tasks with two decoders and(2) be fine-tuned flexibly that fully exploits the potential of the model. Moreover, the unbalanced transformer saves the computational and storage cost, which makes CPT competitive and greatly accelerates the inference of text generation. Experimental results on a wide range of Chinese NLU and NLG tasks show the effectiveness of CPT.

关键词： pre-trained model transformer language model generation unified model