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International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)

作者： Anjun Liu Yin Liao Xihao Xu YanYan Chen Hongjun Zhong Jianming Wu Bo Kong Alexander Raikov Meng Guo Jinan Key Laboratory of High Performance Industrial Software Jinan Institute of Supercomputing Technology Jinan China Jinan Supercomputing-Zhejiang Yuansuan Industrial Simulation System Joint Laboratory Zhejiang Yuansuan Technology Co. Ltd Hangzhou China Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan ) Qilu University of Technology (Shandong Academy of Sciences) Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

code_saturne is an open-source general large-scale computational fluid dynamics software independently developed by Electricite de France since 1997. Due to its high computing performance, code_saturne has been widely used in the nuclear industry, heavy fuel and biomass combustion, particle tracking and other computational fluid dynamics fields. In this work, we implemented code_saturne on the new generation Sunway supercomputer (SW26010pro) at the first time. By applying the data value-taking technology of double cache, combined with Sunway shared memory technology, we have adapted the data structure and Modular programming of code_saturne conducively to the new generation Sunway supercomputer (SW26010pro) and accelerated the software hotspots the software hotspots by 1–2 times. After optimizing and porting, this software has successfully served in the numerical simulation of the lateral flow of fuel assemblies in the nuclear industry.

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When liver disease diagnosis encounters deep learning:Analysis,challenges,and prospects

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iLIVER 2023年第1期2卷 73-87页

作者： Yingjie Tian Minghao Liu Yu Sun Saiji Fu School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China School of Computer Science and Technology University of Chinese Academy of SciencesBeijing 100049China Research Center on Fictitious Economy and Data Science Chinese Academy of SciencesBeijing 100190China Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of SciencesBeijing 100190China MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS Beijing 100190China Tsinghua University Press Beijing 102611China School of Economics and Management Beijing University of Posts and TelecommunicationsBeijing 100876China

The liver is the second-largest organ in the human body and is essential for digesting food and removing toxic ***,obesity,alcohol use,and other factors can damage the liver and cause liver *** diagnosis of liver disease used to depend on the clinical experience of doctors,which made it subjective,difficult,and *** learning has made breakthroughs in various fields;thus,there is a growing interest in using deep learning methods to solve problems in liver research to assist doctors in diagnosis and *** this paper,we provide an overview of deep learning in liver research using 139 papers from the last 5 *** also show the relationship between data modalities,liver topics,and applications in liver research using Sankey diagrams and summarize the deep learning methods used for each liver topic,in addition to the relations and trends between these ***,we discuss the challenges of and expectations for deep learning in liver research.

关键词： Liver Deep learning Data modality Liver topic Application

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Quantitatively determine the dominant driving factors of the spatial–temporal changes of vegetation NPP in the Hengduan Mountain area during 2000-2015

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Journal of Mountain Science 2021年第2期18卷 427-445页

作者： CHEN Shu-ting GUO Bing ZHANG Rui ZANG Wen-qian WEI Cui-xia WU Hong-wei YANG Xiao ZHEN Xiao-yan LI Xing ZHANG Da-fu HAN Bao-min ZHANG Hai-ling School of Civil Architectural Engineering Shandong University of TechnologyZibo 255000China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Land use Ministry of Natural ResourcesChina Land Survey and Planning InstituteBeijing 100035China Key Laboratory for Digital Land and Resources of Jiangxi Province East China University of TechnologyNanchang 330013China Key Laboratory of National Geographic Census and Monitoring Ministry of Natural ResourcesWuhan 430079China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100101China Key Laboratory of UrbanLand Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen 518000China Key Laboratory of Meteorology and Ecological Environment of Hebei Province Shijiazhuang 050021China Land Satellite Remote Sensing Application Center Ministry of Natural ResourcesBeijing 100048China College of Geological Engineering and Geomatics Chang'an UniversityXi'an 710054China

The Hengduan mountain area,located in the upper reaches of the Yangtze River of China,is an important ecological barrier that significantly impacts the climate and ecological environment of the surrounding region and western China as a *** paper introduces the gravity center model used to analyze the spatial-temporal variation patterns of vegetation Net Primary Productivity(NPP)from 2000 to 2015,which were determined by the use of MOD17 A3 NPP ***,the dominant driving factors of the spatial–temporal changes of vegetation NPP of the Hengduan Mountain area were quantitatively determined with a geographical detector over *** results revealed that:(1)From 2000 to 2015,there was an increasing trend of vegetation NPP in the Hengduan mountain *** the whole study region,the vegetation NPP with a mean value of 611.37 gC·m^(-2)·a^(-1) indicated a decreasing trend from southeast to northwest in terms of spatial distribution.(2)The gravity centers of vegetation NPP in 2000-2015 were mainly concentrated in Zhongdian *** the study period,the gravity center of vegetation NPP moved northward,which indicated that the increment and increasing rate of vegetation NPP in the northern parts were greater than that of the southern areas.(3)The vegetation NPP showed a moderately positive correlation with temperature,accumulated temperature(>10℃),and sunshine,while there was an overall negative relationship between NPP and precipitation.(4)The dominant factors and interactive dominant factors changed in different subregions over different segments of the study *** dominant factors of most sub-regions in Hengduan mountain were natural factors,and the climate change factors played an increasingly greater role over the 16 years of the study period.

关键词： Vegetation NPP Spatial-temporal distribution Driving factors Geographic detector Land use change

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Regulation of Shock Response in Cage-Like High-Energy-Density Materials: Competition between Strain Energy and Structural Symmetry

SSRN

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SSRN 2025年

作者： Song, Qingguan Meng, Li Jiang, Shengli Zhang, Lei Mo, Zeyao Institute of Applied Physics and Computational Mathematics Beijing100088 China CAEP Software Center for High Performance Numerical Simulation Beijing100088 China Institute of Chemical Materials China Academy of Engineering Physics Mianyang621999 China School of Materials Science & Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology Beijing100081 China

The cage-like structures provide a unique combination of strain energy for enhanced energy storage and hyperstatic constraints to stabilize the system, positioning them as promising pioneers in advancing high-energy-density materials (HEDMs). However, the shock response of cage-like HEDMs is highly complex and exhibits significant variability, posing a grand challenge in the underlying mechanisms. This study reveals that the shock response of cage-like HEDMs is regulated by the interplay between strain energy and structural symmetry, and introduces a physical model to quantitatively describe how they determine shock stability. The investigated systems include a comprehensive series of cage-like polynitrocubane HEDMs, with each carbon atom in the backbone progressively functionalized with nitro groups. Ab initio molecular dynamics (AIMD) simulations were employed to simulate dynamic and kinetic responses at shock velocities ranging from 8 km/s to 11 km/s, with validation provided by consistent Hugoniot curves that align with reported experimental data. Nitro substituents at the carbon-based cage structure, recognized as explosion functional groups, were found to substantially increase the system's strain energy. However, an increasing number of nitro substituents also intensified electrostatic repulsion among oxygen lone pairs, which weakens structural integrity and renders the material more susceptible to disassembly under shock conditions. Conversely, structural symmetry—including both the cage-like molecular conformation and spatial packing within the crystal lattice—was found to mitigate these destabilizing effects, effectively balancing the trade-off between energy storage and structural stability. Based on these findings, we propose a physical model that captures the essential factors driving shock initiation in cage-like HEDMs, offering new insights to inform the design and application of novel advanced HEDMs. © 2025, The Authors. All rights reserved.

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Incorporating suburban cropland into urban green infrastructure: A perspective of nature-based solutions in China

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Nature-Based Solutions 2024年 5卷

作者： Lin, Tao Cai, Jiayu Geng, Hongkai Zheng, Yicheng Zeng, Zhiwei Zheng, Yunkai Key Laboratory of Urban Environment and Health Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China Fuzhou University Fuzhou 350108 China Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation Fuzhou 350108 China University of Chinese Academy of Sciences Beijing 100049 China Xiamen Key Laboratory of Smart Management on the Urban Environment Xiamen 361021 China School of Geographical Sciences Faculty of Science and Engineering University of Nottingham Ningbo 315100 China

Urban green infrastructure (GI) addresses human social development issues and challenges through urban green space ecosystem services. However, the ecosystem service functions of suburban cropland, especially regulating services and cultural services, have been seriously underestimated. The distribution of green spaces and suburban cropland varies in different regions of China, as well as their potential development methods. This article examines the potential of integrating suburban cropland into urban green infrastructure, offering a perspective on nature-based solutions in China. We divided the suburban cropland in China into three parts: peri‑suburban, mid-suburban, and outer-suburban by the concept of 15-minute living circle based on different travel modes of people. Based on statistical yearbook data, satellite remote sensing images and the fragstats 4.2 programme, a quantitative analysis was conducted on the spatial distribution, landscape pattern and social development of suburban farmland and green space in four cities. Then, the potential for improving the exposure level of suburban cropland after incorporating suburban cropland into urban green infrastructure was quantified and compared. Finally, we explored the potential development of the three kinds of suburban cropland as green infrastructure based on the concept of NbS. We found the spatial pattern of cropland and green space in the mid-suburban is greatly affected by regional geographical conditions, the green exposure level, i.e., green space availability indicators, in Beijing, Shanghai, Guangzhou, and Xi'an increased by 83 %, 300 %, 24 %, and 612 %, respectively, after incorporating suburban cropland into urban green infrastructure. The potential development models for suburban cropland should be based on NbS and China's national conditions: peri‑suburban cropland should be fully utilized for cultural and social functions, the mid-suburban cropland should focus on multifunctional utilization of c

关键词： China Green exposure Green infrastructure (GI) Nature Based Solutions (NbS) Suburban cropland

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Does Urban Green Space Pattern Affect Green Space Noise Reduction?

SSRN

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SSRN 2024年

作者： Feng, Li-Yi Wang, Jia-Bing Liu, Bin-Yan Hu, Fang Bing Hong, Xin-Chen Wang, Wen-Kui School of Architecture and Urban-Rural Planning Fuzhou University Fuzhou350108 China Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application Ministry of Natural Resources Zhangzhou363000 China Department of Landscape Architecture College of Architecture and Urban Planning Tongji University Shanghai200092 China School of Architecture Southeast University Nanjing210096 China Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation Fuzhou University Fuzhou350108 China

The effect of urban green spaces on traffic noise reduction has been extensively studied at the level of single vegetation, hedges, etc., but there is a lack of corresponding studies at the scale of spatial patterns of urban green spaces. Therefore, this study aims to analyze the relationship between the spatial pattern of urban green space and the change in green space's noise reduction capacity. Through the morphology spatial pattern analysis method, this analysis divides the urban green space in Fuzhou High-Tech Zone into seven types of elements with different ecological meanings, and simulates the noise condition of the urban environment with the presence of green space as well as without the presence of green space by computer respectively, calculates the distribution map of the noise reduction produced by the urban green space, and analyzes the correlation between the seven types of green space elements and the noise reduction with the Geographically weighted regression modeling analysis. The study finds that (1) Urban green space patterns can significantly affect the net noise reduction of green space. Larger green space patches, higher green coverage, more complex green space shapes, and more fragmented urban green space can produce higher noise reduction;(2) Various green space elements in different spatial locations have different noise reduction capabilities, but high green coverage areas have better noise reduction performance. (3) The green space close to the source of noise can exert a stronger noise reduction effect. The different actual noise reduction effects of green spaces with different patterns may be due to their uneven exposure to noise. Therefore, from the perspective of improving the urban acoustic environment, the configuration of high-quality green spaces in areas with higher levels of noise pollution should be given priority, which may have better noise reduction effects. © 2024, The Authors. All rights reserved.

关键词： Noise abatement

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D4M: Dataset Distillation via Disentangled Diffusion Model

arXiv

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arXiv 2024年

作者： Su, Duo Hou, Junjie Gao, Weizhi Tian, Yingjie Tang, Bowen School of Computer Science and Technology UCAS United Kingdom Sino-Danish College UCAS United Kingdom Department of Computer Science NCSU United States School of Economics and Management UCAS United Kingdom Research Center on Fictitious Economy and Data Science CAS China Key Laboratory of Big Data Mining and Knowledge Management CAS China MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation UCAS United Kingdom Institute of Computing Technology CAS China

Dataset distillation offers a lightweight synthetic dataset for fast network training with promising test accuracy. To imitate the performance of the original dataset, most approaches employ bi-level optimization and the distillation space relies on the matching architecture. Nevertheless, these approaches either suffer significant computational costs on large-scale datasets or experience performance decline on cross-architectures. We advocate for designing an economical dataset distillation framework that is independent of the matching architectures. With empirical observations, we argue that constraining the consistency of the real and synthetic image spaces will enhance the cross-architecture generalization. Motivated by this, we introduce Dataset Distillation via Disentangled Diffusion Model (D4M), an efficient framework for dataset distillation. Compared to architecture-dependent methods, D4M employs latent diffusion model to guarantee consistency and incorporates label information into category prototypes. The distilled datasets are versatile, eliminating the need for repeated generation of distinct datasets for various architectures. Through comprehensive experiments, D4M demonstrates superior performance and robust generalization, surpassing the SOTA methods across most aspects. Copyright © 2024, The Authors. All rights reserved.

关键词： Distillation

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simulation of Groundwater Levels Considering Natural and Anthropologic Factors Through Deep Learning Model

SSRN

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SSRN 2024年

作者： Li, Shuai Zhu, Lin Gong, Huili Li, Xiaojuan Li, Binghua Teatini, Pietro College of Resource Environment and Tourism Capital Normal University Beijing China Beijing Laboratory of Water Resources Security Capital Normal University Beijing China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal University Beijing China Beijing Institute of Water Science and Technology Beijing China Department of Civil Environmental and Architectural Engineering University of Padova Padova Italy Querétaro Mexico

Groundwater level (GWL) serves as an important indicator in the precise evaluation of groundwater resources, forming the cornerstone of effective groundwater management and land subsidence prevention. Numerical model, a commonly used tool for simulating GWL, requires complex input parameters related to hydrogeological and geological structures. Data-driven model has been widely used within the geoscience community due to its high accuracy. However, these models often exhibit limited interpretability. This paper introduces an approach by integrating the Multi-head Self-attention mechanism with Gate Recurrent Unit (GRU) (MSAM-GRU) model to detect the response of GWL across different aquifers to variations in precipitation and groundwater withdrawal. During the modelling, it takes novelty account of hydraulic connection between various aquifers, and incorporates the lag time between GWL in unconfined aquifer and precipitation, as well as between GWL in confined aquifers and those in upper aquifer. This integration aims to enhance both the accuracy and interpretability of the model. To validate our method, we conducted a case study in the Beijing Plain, China. Results reveal that the lag time between GWL in the unconfined aquifer and precipitation ranges from 2 to 4 months, while the lag time between GWL in the confined aquifer and those in upper aquifers ranges from 3 to 4 months. Furthermore, the results indicate a significant improvement in simulation accuracy by 31% compared to models that do not consider lag time. The performance of MSAM-GRU model surpasses that of both AM-GRU and the traditional GRU model when simulating GWLs of confined and unconfined aquifers simultaneously. The model was also employed to further analyze the response of GWL in the first aquifer group under varying precipitation and withdrawal conditions, considering the GWL recovery in this aquifer group may impact subway operations. Under conditions of solely reducing groundwater pumping volume

关键词： Aquifers

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Two-mode terms in Wigner transport equation elucidate anomalous thermal transport in amorphous silicon

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Physical Review B 2025年第9期111卷 094206-094206页

作者： Jin Yang Xueyan Zhu Alan J. H. McGaughey Yee Sin Ang Wee-Liat Ong ZJU-UIUC Institute College of Energy Engineering Zhejiang University Jiaxing Haining Zhejiang 314400 China China Academy of Engineering Physics Software Center for High Performance Numerical Simulation Beijing 100088 China Institute of Applied Physics and Computational Mathematics Beijing 100088 China Department of Mechanical Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA Science Mathematics and Technology Singapore University of Technology and Design 487372 Singapore State Key Laboratory of Clean Energy Utilization Zhejiang University Hangzhou Zhejiang 310027 China

Over the past decades, our understanding of thermal transport in amorphous materials has predominantly relied on the inherently harmonic Allen-Feldman theory, which has been found to be insufficient. In this study, the Wigner transport formalism is adopted to explicitly account for anharmonicity. In studying the thermal transport in amorphous silicon, the results highlight that amorphous materials are not generally computationally equivalent to crystals with disordered primitive cells. A method that leverages the properties of the two-mode terms in the Wigner transport formalism is proposed to predict the bulk thermal conductivity of amorphous materials using finite-size models. In doing so, the need for mode classification schemes required in the Allen-Feldman theory is eliminated, and similarities are discovered between the two-mode terms and the carriers commonly used to describe thermal transport in amorphous materials, i.e., propagons, diffusons, and locons. Two competing trends are identified that shed light on the recently discovered anomalous decrease in the high-temperature thermal conductivity in some amorphous materials.

关键词： Heat transfer

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Development and practices of nature-based solutions in China

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Nature-Based Solutions 2024年 5卷

作者： Luo, Ming Cai, Jiayu Zeng, Zhiwei Zheng, Yicheng Lin, Tao the NbS Asian Hub Beijing 100035 China Fujian Key Laboratory of Digital Technology for Territorial Space Analysis and Simulation Fuzhou 350108 China Fuzhou University Fuzhou 350108 China Key Laboratory of Urban Environment and Health Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China University of Chinese Academy of Sciences Beijing 100049 China Xiamen Key Laboratory of Smart Management on the Urban Environment Xiamen 361021 China School of Geographical Sciences Faculty of Science and Engineering University of Nottingham Ningbo 315100 China

Nature-based Solutions (NbS) is a concept aims to address challenges related to human well-being, including human health, socio-economic development, and ecological security on both national and global scales. This concept was proposed against the backdrop of global climate change, ecological crises affecting humanity, and threats to sustainable development and it has been increasingly recognized and applied internationally over the past decade. The principle of NbS is reciprocity between humans and ecosystems, which is completely in line with the goals, systems, practices, and concepts guiding China's construction of ecological civilization. This paper clarifies concepts, evaluation criteria, and comprehensive benefits related to NbS, to trace the connection between NbS and both traditional and contemporary ecological civilization principles in China. By drawing valuable experience from NbS practices in China, it will focus on proposing policy and implementation suggestions to address challenges currently faced in NbS applications in China. This research will promote the research and practice of nature-based solutions in China. Meanwhile, provide novel perspectives and technologies for urban ecological design as well as sustainable development. © 2023

关键词： Chinese practice Ecological restoration methods Nature-based solutions Territorial space

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