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Traffic Flow Prediction with Heterogeneous Spatiotemporal Data Based on a Hybrid Deep Learning Model Using Attention-Mechanism

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1711-1728页

作者： Jing-Doo Wang Chayadi Oktomy Noto Susanto Departement of Computer Science and Information Engineering Asia UniversityTaichungTaiwanChina Departement of Information Technology Universitas Muhammadiyah YogyakartaYogyakartaIndonesia

A significant obstacle in intelligent transportation systems(ITS)is the capacity to predict traffic *** advancements in deep neural networks have enabled the development of models to represent traffic flow ***,accurately predicting traffic flow at the individual road level is extremely difficult due to the complex interplay of spatial and temporal *** paper proposes a technique for predicting short-term traffic flow data using an architecture that utilizes convolutional bidirectional long short-term memory(Conv-BiLSTM)with attention *** studies neglected to include data pertaining to factors such as holidays,weather conditions,and vehicle types,which are interconnected and significantly impact the accuracy of forecast *** addition,this research incorporates recurring monthly periodic pattern data that significantly enhances the accuracy of forecast *** experimental findings demonstrate a performance improvement of 21.68%when incorporating the vehicle type feature.

关键词： Traffic flow prediction sptiotemporal data heterogeneous data Conv-BiLSTM data-centric intra-data

Theory and verification of moiréfringes for x-ray three-phase grating interferometer

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Chinese Physics B 2024年第5期33卷 532-540页

作者：单雨征葛永帅杨君郭大育蔡学宝刘晓珂侯晓文郭金川 Key Laboratory of Optoelectronic Devices and systems of the Ministry of Education Key Laboratory of Optoelectronic Devices and Systems of the Department of EducationGuangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China Research Center for medical Artificial Intelligence Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Institute of Advanced Science Facilities Shenzhen 518107China Institute of Electronic Paper Displays South China Academy of Advanced OptoelectronicsSouth China Normal UniversityGuangzhou 510006China College of Biophotonics South China Normal UniversityGuangzhou 510631China MinFound medical systems Co. Ltd.Hangzhou 310018China

Dual-phase and three-phase grating x-ray interference is a promising new technique for grating-based x-ray differential phase contrast ***-phase grating interferometers have been relatively completely studied and *** this paper,the corresponding imaging fringe formula of the three-phase grating interferometer is *** the same time,the similarities and differences between the three-phase grating interferometer and the dual-phase grating interferometer are investigated and verified,and that the three-phase grating interferometer can produce large-period moiréfringes without using the analyzing grating is demonstrated ***,a simple method of designing three-phase grating and multi-grating imaging systems from geometric optics based on the thin-lens theory of gratings is *** theoretical formulas and experimental results provide optimization tools for designing three-phase grating interferometer systems.

关键词： x-ray phase contrast phase grating moiréfringe

A Framework for Enhancing Privacy and Anonymity in Blockchain-Enabled IoT Devices

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Computers, Materials & Continua 2024年第3期78卷 4263-4282页

作者： Muhammad Saad Muhammad Raheel Bhutta Jongik Kim Tae-Sun Chung Department of Artificial Intelligence Ajou UniversitySuwon443-749Korea Department of Electrical and Computer Engineering University of Utah Asia CampusIncheon21985Korea Department of Artificial Intelligence Chungnam National UniversityDaejeon34134Korea

With the increase in IoT(Internet of Things)devices comes an inherent challenge of *** the world today,privacy is the prime concern of every *** one’s privacy and keeping anonymity throughout the system is a desired functionality that does not come without inevitable trade-offs like scalability and increased complexity and is always exceedingly difficult to *** challenge is keeping confidentiality and continuing to make the person innominate throughout the *** address this,we present our proposed architecture where we manage IoT devices using blockchain *** proposed architecture works on and off blockchain integrated with the closed-circuit television(CCTV)security camera fixed at the rental *** this framework,the CCTV security camera feed is redirected towards the owner and renter based on the smart contract *** entity(owner or renter)can see the CCTV security camera feed at one *** is no third-party dependence except for the CCTV security camera deployment *** contributions include the proposition of framework architecture,a novel smart contract algorithm,and the modification to the ring signatures leveraging an existing cryptographic *** are made based on different systems’security and key management *** an empirical study,our proposed algorithm performed better in key generation,proof generation,and verification *** comparing similar existing schemes,we have shown the proposed architectures’*** now,we have developed this system for a specific area in the real ***,this system is scalable and applicable to other areas like healthcare monitoring systems,which is part of our future work.

关键词： Privacy anonymity blockchain IoT smart contracts

Post-Newtonian binary dynamics in the effective field theory of Horndeskigravity

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Chinese Physics C 2024年第3期48卷 180-190页

作者：武文浩汤勇 School of Astronomy and Space Science University of Chinese Academy of SciencesBeijing 100049China School of Fundamental Physics and Mathematical Sciences Hangzhou Institute for Advanced StudyChinese Academy of SciencesHangzhou 310024China International Center for Theoretical Physics asia-Pacific Beijing 100049China

general relativity has been very successful since its proposal more than a century ***,various cosmological observations and theoretical consistency still motivate us to explore extended gravity *** gravity stands out as one attractive theory by introducing only one scalar *** we formulate the post-Newtonian effective field theory of Horndeski gravity and investigate the conservative dynamics of inspiral compact binary *** calculate the leading effective Lagrangian for a compact binary and obtain the periastron advance per *** particular,we apply our analytical calculation to two binary systems,PSR B 1534+12 and PSR J0737-3039,and constrain the relevant model *** theoretical framework can also be systematically extended to higherorders.

关键词： effective field theory modified gravity pulsar

XGCN:a library for large-scale graph neural network recommendations

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Frontiers of Computer Science 2024年第3期18卷 247-249页

作者： Xiran SONG Hong HUANG Jianxun LIAN Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Microsoft Research asia Beijing 100080China

1 Introduction Graph Neural Networks(GNNs)have gained widespread adoption in recommendation systems,and nowadays there is a pressing need to effectively manage large-scale graph data[1].When it comes to large graphs,GNNs may encounter the scalability issue stemming from their multi-layer messagepassing ***,scaling GNNs has emerged as a crucial research area in recent years,with numerous scaling strategies being proposed.

关键词： scaling gained operations

Multi-blade rubbing characteristics of the shaft-disk-blade-casing system with large rotation

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Applied Mathematics and Mechanics(English Edition) 2024年第1期45卷 111-136页

作者： Zhiyuan WU Linchuan ZHAO Han YAN ge YAN Ao CHEN Wenming ZHANG State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai 200240China Shanghai Institute of Aerospace systems Engineering Shanghai 201108China

Blade rubbing faults cause detrimental impact on the operation of aeroengines. Most of the existing studies on blade rubbing in the shaft-disk-blade-casing(SDBC) system have overlooked the elastic deformation of the blade, while some only consider the whirl of the rotor, neglecting its spin. To address these limitations, this paper proposes a dynamic model with large rotation for the SDBC system. The model incorporates the spin and whirl of the rotor, enabling the realistic reproduction of multiblade rubbing faults. To verify the accuracy of the SDBC model with large rotation and demonstrate its capability to effectively consider the rotational effects such as the centrifugal stiffening and gyroscopic effects, the natural characteristics and dynamic responses of the proposed model are compared with those obtained from reported research and experimental results. Furthermore, the effects of the rotating speed, contact stiffness,and blade number on the dynamic characteristics of the SDBC system with multi-blade rubbing are investigated. The results indicate that the phase angle between the rotor deflection and the unbalance excitation force increases with the increasing rotating speed,which significantly influences the rubbing penetration of each blade. The natural frequency of the SDBC system with rubbing constrain can be observed in the acceleration response of the casing and the torsional response of the shaft, and the frequency is related to the contact stiffness. Moreover, the vibration amplitude increases significantly with the product of the blade number under rubbing, and the rotating frequency approaches the natural frequency of the SDBC system. The proposed model can provide valuable insight for the fault diagnosis of rubbing in bladed rotating machinery.

关键词： shaft-disk-blade-casing(SDBC) large rotation spin and whirl multi-blade rubbing rotational effect

Boosting synergism of chemo- and immunotherapies via switching paclitaxel-induced apoptosis to mevalonate metabolism-triggered ferroptosis by bisphosphonate coordination lipid nanogranules

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Acta Pharmaceutica Sinica B 2024年第2期14卷 836-853页

作者： ge Song Minghui Li Shumin Fan Mengmeng Qin Bin Shao Wenbing Dai Hua Zhang Xueqing Wang Bing He Qiang Zhang Beijing Key Laboratory of Molecular Pharmaceutics and New Drug Delivery systems School of Pharmaceutical SciencesPeking UniversityBeijing 100191China State Key Laboratory of Natural and Biomimetic Drugs School of Pharmaceutical SciencesPeking UniversityBeijing 100191China Department of medical Oncology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education)Peking University Cancer HospitalBeijing 100142China

Conventional chemotherapy based on cytotoxic drugs is facing tough challenges recently following the advances of monoclonal antibodies and molecularly targeted *** is critical to inspire new potential to remodel the value of this classical therapeutic ***,we fabricate bisphosphonate coordination lipid nanogranules(BC-LNPs)and load paclitaxel(PTX)to boost the chemo-and immuno-therapeutic synergism of cytotoxic *** in BC-LNPs@PTX,a bisphosphonate to block mevalonate metabolism,works as both the structure and drug constituent in nanogranules,where alendronate coordinated with calcium ions to form the particle *** synergy of alendronate enhances the efficacy of paclitaxel,suppresses tumor metastasis,and alters the cytotoxic *** from the paclitaxel-induced apoptosis,the involvement of alendronate inhibits the mevalonate metabolism,changes the mitochondrial morphology,disturbs the redox homeostasis,and causes theaccumulation of mitochondrial ROS and lethal lipid peroxides(LPO).These factors finally trigger the ferroptosis of tumor cells,an immunogenic cell death mode,which remodels the suppressive tumor immune microenvironment and synergizes with ***,by switching paclitaxel-induced apoptosis to mevalonate metabolism-triggered ferroptosis,BC-LNPs@PTX provides new insight into the development of cytotoxic drugs and highlights the potential of metabolism regulation in cancer therapy.

关键词： Bisphosphonate coordinationlipid nanogranules Ferroptosis Mevalonatemetabolism Mitochondrial metabolism Nano-systematic biology

Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information systems

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Computers, Materials & Continua 2024年第8期80卷 3123-3138页

作者： Saket Sarin Sunil K.Singh Sudhakar Kumar Shivam Goyal Brij Bhooshan Gupta Wadee Alhalabi Varsha Arya Chandigarh College of Engineering and Technology Chandigarh160019India Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India Department of Computer Science Immersive Virtual Reality Research GroupKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Business Administration Asia UniversityTaichung413Taiwan Department of Electrical and Computer Engineering Lebanese American UniversityBeirut11022801Lebanon UCRD Chandigarh UniversityChandigarh140413India

In the rapidly evolving landscape of today’s digital economy,Financial Technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic *** in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading *** meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading *** AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital *** research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital ***,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

关键词： Neurodynamic Fintech multi-agent reinforcement learning algorithmic trading digital financial frontier

Provenance of Upper Jurassic in North Yellow Sea Basin， Eastern North China Craton

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Journal of Earth Science 2024年

作者： Haitian Yu Zhongjie Xu Rihui Cheng Duo Wan Dan Gao Zhen Zhang College of Earth Sciences Jilin University 2. Key Laboratory of Mineral Resources Evaluation in Northeast asia Ministry of Natural Resources College of Palaeontology Shenyang Normal University Guangzhou Marine geological Survey

Base on the detrital zircon U-Pb dating data， this paper discusses the provenance and constructs source-to-sink system of the Upper Jurassic in the North Yellow Sea Basin (NYSB)， Eastern North China Craton (ENCC). In addition， to avoid the bias of detrital zircon ages caused by variations in zircon fertility， we gather 1709 whole rock zirconium content values (ppm) from granitic rocks with different ages in the North China Craton (NCC). Base on mean Zr content of granitic rocks in each age， these granitic rocks can be divided into four groups: Group A consists of Jurassic， Group B consists of Paleozoic， Neo-Mesoproterozoic and Neoarchean， Group C consists of Early Cretaceous and Triassic， and Group D consists of Paleoproterozoic. This research assigns these groups zircon fertility factors (ZFF) of 1， 1.4， 1.8 and 2.2. The U-Pb age of detrital zircons from Late Jurassic sediments corrected by ZFF are statistically analyzed (K-S test， Similarity， Cross-correlation， Linkeness， Multidimensional scaling). And combining with palaeocurrent and palaeogeography， we construct two source-to-sink systems: 1) Jiaodong Uplift and Sulu Orogenic belt as the source area and the North Yellow Sea Basin as the sink area; 2) Liaodong Peninsula as the source area and the North Yellow Sea Basin as the sink area.

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