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Formation mechanism of deep natural hydrogen in the Sichuan Basin

science China Earth sciences 2025年第2期68卷 581-597页

作者： Xiaomei WANG Kun HE Chunlong YANG Hao XIE Xiaobo WANG Yitong LYU Linfeng XIE Shuichang ZHANG Research Institute of Petroleum Exploration&Development PetroChinaBeijing 100083China Key Laboratory of Petroleum Geochemistry China National Petroleum CorporationBeijing 100083China International Center for Isotope Effects Research School of Earth Science and EngineeringNanjing UniversityNanjing 210023China

As a potential renewable and clean energy source,the distribution and exploration prospects of natural hydrogen have garnered widespread ***,the limitations in understanding the formation mechanisms and accumulation patterns of underground natural hydrogen have significantly constrained its efficient exploration and *** study reports H_(2)content and isotopes in natural gas from deep formations in sedimentary basins through geochemical analysis of 58 conventional gas samples from the Sinian to Triassic strata in the central Sichuan *** discovered that H_(2)content in deep natural gas in central Sichuan generally exceeds 0.1%,with a maximum of 1.6%,and hydrogen isotopes(δ^(2)H_(H_(2)))range from-850‰to-586‰.Analysis of the geological conditions,hydrogen generation mechanisms,and isotope fractionation characteristics in the study area confirms that microbial fermentation or in-situ organic matter cracking are not effective pathways for deep H_(2)*** with helium content and isotope analysis of the natural gas,it is inferred that the volcanic basement in the central Sichuan area is the potential source rock for natural H_(2)in the Sinian to Triassic ***,H_(2)originates from the radiolysis of water and hydrothermal reactions of Fe(Ⅱ)in the basement ***,a diffusion fractionation model reveals significant isotope fractionation during the migration and accumulation of deep H_(2)into sedimentary reservoirs,which lead to anomalously light δ^(2)H_(H_(2))in deep natural gas in central *** indicates that the underground natural hydrogen accumulation is in a long-term dynamic process,with simultaneous H_(2)accumulation and dissipation in the gas *** research not only elucidates the formation mechanism of deep H_(2)but also provides insights for the resource potential of natural hydrogen in sedimentary basins.

关键词： Natural H2 Sichuan Basin Hydrogen generation mechanism Isotope fractionation

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OBE Oriented Teacher Body Language Skill Training Method for Normal College Students 5

OBE Oriented Teacher Body Language Skill Training Method for...

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5th International Conference on computer science and Technologies in Education, CSTE 2023

作者： Yang, Kaifang Wang, Chuxin Wang, Lin School of Computer Science Shaanxi Normal University Shaanxi Institute of Teacher Development Xi'an China School of Computer Science Shaanxi Normal University Xi'an China

ISBN: (纸本)9798350325720

As an important part of teaching skill, body language skill is closely related to teaching efficiency and quality. In order to solve the problems of traditional classroom-based skill training method that normal college students cannot obtain separate and decomposed training of different part of the body language skill, oriented from the Outcome-Based Education (OBE) concept, a body language skill training method is proposed for normal college students based on mobile learning and verified through teaching applications. The questionnaire results have shown that the proposed method can effectively improve the training efficiency of the normal college students and enhance their body language skill, thus could provide a new practical path for the future teacher skill training. © 2023 IEEE.

关键词： Personnel training

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A molecular dynamics study on mechanical performance and deformation mechanisms in nanotwinned NiCo-based alloys with nano-precipitates under high temperatures

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Chinese Physics B 2024年第11期33卷 349-355页

作者： Zihao Yu Hongyu Wang Ligang Sun Zhihui Li Linli Zhu School of Aeronautics and Astronautics Center for X-MechanicsZhejiang UniversityHangzhou 310027China School of Science Harbin Institute of TechnologyShenzhen 518067China Hypervelocity Aerodynamics Institute China Aerodynamics Research and Development CenterMianyang 621000China National Laboratory for Computational Fluid Dynamics Beijing 100191China

Molecular dynamics simulations are performed to investigate the mechanical behavior of nanotwinned NiCo-based alloys containing coherent L1_(2) nano-precipitates at different temperatures,as well as the interactions between the dislocations and nano-precipitates within the *** simulation results demonstrate that both the yield stress and flow stress in the nanotwinned NiCo-based alloys with nano-precipitates decrease as the temperature rises,because the higher temperatures lead to the generation of more defects during yielding and lower dislocation density during plastic ***,the coherent L1_(2) phase exhibits excellent thermal stability,which enables the hinderance of dislocation motion at elevated temperatures via the wrapping and cutting mechanisms of *** synergistic effect of nanotwins and nano-precipitates results in more significant strengthening behavior in the nanotwinned NiCo-based alloys under high *** addition,the high-temperature mechanical behavior of nanotwinned NiCo-based alloys with nano-precipitates is sensitive to the size and volume fraction of the *** findings could be helpful for the design of nanotwins and nano-precipitates to improve the high-temperature mechanical properties of NiCo-based alloys.

关键词： NiCo-based alloys high temperature nano-precipitate nanotwins molecular dynamics simulation mechanical behavior deformation mechanism dislocations

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ParallelFarm: An AI-Enabled Sustainable Farming Management System for Carbon Neutrality 22

ParallelFarm: An AI-Enabled Sustainable Farming Management S...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Bi, Gaoshan Zhang, Yu Xue, Qing Li, Yang Yuan, Zhipeng Liu, Kang Liu, Tong Yang, Po School of Computer Science The University of Sheffield Sheffield United Kingdom Research and Development Mutus-Tech Ltd Liverpool United Kingdom

ISBN: (纸本)9798331527471

Promoting sustainable agriculture plays a crucial role in reducing greenhouse gas (GHG) emissions, lowering the carbon footprint, and improving farm resilience. Three challenges must be overcome to achieve sustainable agriculture management. Firstly, there is a lack of reliable and sustainable fertiliser solutions to improve fertiliser use efficiency, reduce GHG emissions while maintaining crop production. In addition, how to cost-effectively quantify the response of soil carbon and GHG fluxes to different fertilisation practices. Thirdly, there is a requirement to integrate multi-source farming data and AI models into a farm management information system (FMIS) to support intelligent decisions for farmers. To address these challenges, we developed the ParellelFarm, an AI-enabled sustainable farming management system that integrates multi-source farming data and AI-driven fertiliser and soil carbon models into a multi-tenant cloud platform, to support sustainable farming. It also provides remote field visualisation and management as well as instant messaging via web and mobile clients, supporting fast and accurate labour allocation with fewer resources. It is a potential solution for a cost-effective, highly productive and sustainable modern net-zero farm. © 2024 IEEE.

关键词： Greenhouse gas emissions

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UAV Localization with Unreliable Observations in Hostile Underground Environments

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Journal of computer science & Technology 2024年第6期39卷 1401-1418页

作者： Peng-Peng Chen Kui-Yuan Zhang Shou-Wan Gao Si-Yi Ren School of Computer Science and Technology China University of Mining and TechnologyXuzhou 221116China Mine Digitization Engineering Research Center Ministry of EducationXuzhou 221116China Shenzhen Research Institute China University of Mining and TechnologyShenzhen 518057China

The accurate and robust unmanned aerial vehicle(UAV)localization is significant due to the requirements of safety-critical monitoring and emergency wireless communication in hostile underground *** range-based localization approaches fundamentally rely on the assumption that the environment is relatively ideal,which enables a precise range for ***,radio propagation in the underground environments may be dramatically influenced by various equipments,obstacles,and ambient *** this case,inaccurate range measurements and intermittent ranging failures inevitably occur,which leads to severe localization performance *** address the challenges,a novel UAV localization scheme is proposed in this paper,which can effectively handle unreliable observations in hostile underground *** first propose an adaptive extended Kalman filter(EKF)based on the fusion of ultra-wideband(UWB)and inertial measurement unit(IMU)to detect and adjust the inaccurate range *** to deal with intermittent ranging failures,we further design the constraint condition by limiting the system ***,the auto-regressive model is proposed to implement the localization in the ranging blind areas by reconstructing the lost ***,extensive simulations have been conducted to verify the *** carry out field experiments in an underground garage and a coal mine based on P440 UWB *** show that the localization accuracy is improved by 16.9%compared with the recent methods in the hostile underground environments.

关键词： unmanned aerial vehicle(UAV)localization Kalman filter ultra-wideband(UWB)observation hostile underground environment

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Power Switching Based on Trajectory Planning and Sliding Mode Control for Solid Oxide Fuel Cell Systems

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Journal of Modern Power Systems and Clean Energy 2024年第6期12卷 1968-1979页

作者： Zhen Wang Guoqiang Liu Xingbo Liu Jie Wang Zhiyang Jin Xiaowei Fu Zhuo Wang Bing Jin Zhonghua Deng Xi Li Key Laboratory of Imaging Processing and Intelligent Control of Ministry of Education School of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhanChina Research Institute of Huazhong University of Science and Technology in Shenzhen ShenzhenChina Hubei Huazhong Electric Power Technology Development Co. Ltd.WuhanChina School of Computer Science and Technology Wuhan University of Science and TechnologyWuhanChina School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhanChinaand he is also with the Wuhan Huamao Automation Co.Ltd.WuhanChina

To improve the safety of the solid oxide fuel cell(SOFC)systems and avoid the generation of large amounts of pollutants during power switching,this paper designs a power switching strategy based on trajectory planning and sliding mode control(TP-SMC).The design elements of the power switching strategy are proposed through simulation analysis at ***,based on the gas transmission delay time and the change of gas flow obtained from testing,trajectory planning(TP)is *** with other power switching strategies,it has been proven that the power switching strategy based on TP has significantly better control ***-thermore,considering the shortcomings and problems of TP in practical application,this paper introduces sliding mode control(SMC)on the basis of TP to improve the power switching *** final simulation results also prove that the TP-SMC can effectively suppress the impact of uncertainty in gas flow and gas transmission delay *** with TP,TP-SMC can ensure that under uncertain conditions,the SOFC system does not experience fuel starvation and temperature exceeding limit during power ***,the NOx emissions are also within the normal and acceptable *** paper can guide the power switching process of the actual SOFC sys-tems to avoid safety issues and excessive generation of NOx,which is very helpful for improving the performance and ser-vice lifeof the SOFCsystems.

关键词： Solid oxide fuel cell(SOFC)system power switching safety NOx emission trajectory planning sliding mode control

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How variable progenitor clones construct a largely invariant neocortex

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National science Review 2024年第1期11卷 129-144页

作者： Zhongfu Shen Jiajun Yang Qiangqiang Zhang Kuiyu Wang Xiaohui Lv Xiaolin Hu Jian Ma Song-Hai Shi New Cornerstone Science Laboratory IDG/McG overn Institute for Brain Research Tsinghua-Peking Center for Life Sciences Beijing Frontier Research Center for Biological Structure School of Life Sciences Tsinghua University Department of Computer Sciences Tsinghua University College of Life Sciences Nankai University Chinese Institute for Brain Research

The neocortex contains a vast collection of diverse neurons organized into distinct layers. While nearly all neocortical neurons are generated by radial glial progenitors(RGPs), it remains largely unclear how a complex yet organized neocortex is constructed reliably and robustly. Here, we show that the division behavior and neuronal output of RGPs are highly constrained with patterned variabilities to support the reliable and robust construction of the mouse neocortex. The neurogenic process of RGPs can be well-approximated by a consistent Poisson-like process unfolding over time, producing deep to superficial layer neurons progressively. The exact neuronal outputs regarding layer occupation are variable; yet, this variability is constrained systematically to support all layer formation, largely reflecting the variable intermediate progenitor generation and RGP neurogenic entry and exit timing differences. Together, these results define the fundamental features of neocortical neurogenesis with a balanced reliability and variability for the construction of the complex neocortex.

关键词： neocortex radial glial progenitor intermediate progenitor neurogenesis clonal variability layer formation

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research on the performance of harmony search with local search algorithms for solving flexible job-shop scheduling problem

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Journal of Intelligent and Fuzzy Systems 2025年第3期48卷 291-304页

作者： Li, Jia Xue, Shuaihao Li, Minghui Shi, Xiaoqiu School of Manufacturing Science and Engineering Southwest University of Science and Technology Mianyang China State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Low Speed Aerodynamics Institute China Aerodynamics Research and Development Center Sichuan Mianyang China Key Laboratory of Icing and Anti/De-icing China Aerodynamics Research and Development Center Sichuan Mianyang China Mianyang Science and Technology City Intelligent Manufacturing Industry Technology Innovation Institute Sichuan Mianyang China

Combining the harmony search algorithm (HS) with the local search algorithm (LS) can prevent the HS from falling into a local optimum. However, how LS affects the performance of HS has not yet been studied systematically. Therefore, in this paper, it is first proposed to combine four frequently used LS with HS to obtain several search algorithms (HSLSs). Then, by taking the flexible job-shop scheduling problem (FJSP) as an example and considering decoding times, study how the parameters of HSLSs affect their performance, where the performance is evaluated by the difference rate based on the decoding times. The simulation results mainly show that (I) as the harmony memory size (HMS) gradually increases, the performance of HSLSs first increases rapidly and then tends to remain unchanged, and HMS is not the larger the better;(II) as harmony memory considering rate increases, the performance continues to improve, while the performance of pitch adjusting rate on HSLSs goes to the opposite;Finally, more benchmark instances are also used to verify the effectiveness of the proposed algorithms. The results of this paper have a certain guiding significance on how to choose LS and other parameters to improve HS for solving FJSP. © 2025 – IOS Press. All rights reserved.

关键词： Scheduling algorithms

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Non-Cooperative Spacecraft Attitude Estimation Based on Feature Extraction on ISAR Images 17

Non-Cooperative Spacecraft Attitude Estimation Based on Feat...

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17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024

作者： Liu, Bingxue Yang, Lei Li, Zhihui School of Computer Science and Technology Southwest University of Science and Technology Mian Yang China China Aerodynamic Research and Development Center Mian Yang China

ISBN: (纸本)9798331507398

Aiming at the problem that ISAR images have low resolution and serious noise and non-cooperative spacecraft lack cooperative information, resulting in large attitude estimation errors, a space target attitude estimation method based on contours and linear structures on ISAR images and models is proposed. This method uses an enhanced Frost filter to filter out image noise and preprocess the image to improve image quality. UNet3+ with the CBAM attention mechanism is used to segment the spacecraft contour from the ISAR image, and then the linear structure of the target contour is extracted. The target model is then rotated and projected to establish a target attitude template library, and the template library is clustered using the linear structure of the model. The Softassign ICP algorithm and local direction information are used to optimize shape context matching, and finally the attitude information of the target spacecraft is returned. Experimental results on real ISAR images show that this method can effectively reduce the attitude estimation error, and the errors of the three attitude angles are all within 1 degree. © 2024 IEEE.

关键词： Image segmentation

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Revealing Security Flaws in Cross-Modal Retrieval Models through Video Poisoning

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IEEE Transactions on Circuits and Systems for Video Technology 2025年第6期35卷 6184-6194页

作者： Jin, Ming Hu, Wenbo Hong, Richang Zhu, Lei Hefei University of Technology School of Computer and Information Hefei China Data Space Research Institute Hefei Comprehensive National Science Center China Tongji University School of Electronic and Information Engineering Shanghai China

Video-text cross-modal retrieval is widely studied to improve retrieval accuracy. However, the security of video-text cross-modal retrieval models receives little attention. If attackers exploit the security vulnerabilities in these models, it poses a significant threat to the retrieval models. Thus, identifying security flaws in video-text cross-modal retrieval models becomes the focus of our research. We are the first to design a video poisoning model to uncover security vulnerabilities in retrieval models. Existing poisoning models have certain limitations when it comes to exploiting vulnerabilities in retrieval models. These include failing to comprehensively embed malicious information into the original video and being unable to maintain visual consistency between the original and poisoned videos. These limitations can result in unsuccessful attacks on retrieval models and an inability to effectively identify security flaws within them. To address these shortcomings, we design an efficient poisoning model that embeds malicious information thoroughly into the original clean data to attack video-text cross-modal retrieval models. We are the first to use a poisoning model to attack retrieval models, thereby uncovering their security vulnerabilities. Second, we introduce a bi-level poisoning module to ensure that malicious information is thoroughly embedded into the original video, thereby enhancing the attack capability of the poisoning model. Finally, we design an adversarial module to improve visual consistency between the original and poisoned videos, thus enhancing the concealment of malicious information within the training data of retrieval models. Our poisoning model can identify security flaws in video-text cross-modal retrieval models, providing insights into improving the security of retrieval models. The effectiveness of our model is validated on the MSR-VTT, LSMDC, and MSVD datasets. © 1991-2012 IEEE.

关键词： Content based retrieval

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