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Staggered Nonlinear Spin Generations in Centrosymmetric Altermagnets under Electric Current 认领 引用
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作者 Jie Zhang Ruijing Fang +1 位作者 Zhichao Zhou Xiao Li 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第2期217-227,共11页
Current-induced spin generations are of significant importance for electrically controllable magnetization.Due to symmetry constraints,linear spin generation is absent in centrosymmetric magnets and nonlinear contribu... Current-induced spin generations are of significant importance for electrically controllable magnetization.Due to symmetry constraints,linear spin generation is absent in centrosymmetric magnets and nonlinear contributions become crucial.However,nonlinear spin generations have few examples in centrosymmetric compensated magnets with opposite-spin sublattices,which hinders electric control of associated magnetization.Here,we study nonlinear spin generations in altermagnets,a new type of compensated magnets.In a square altermagnetic model,both staggered and uniform nonlinear spin generations appear at opposite-spin sublattices.They vary as the magnetization direction rotates,with emerging out-of-plane components that can be utilized in perpendicular magnetization switching of high-density storage devices.By first-principles calculations,out-of-plane,staggered nonlinear spin generations are found to be considerable in a typical altermagnet,Fe2Se2O monolayer.Our findings provide opportunities for electrically manipulating magnetization and designing energy-efficient magnetic devices based on compensated magnets. 展开更多
关键词 electric current induced spin generations compensated magnetsin centrosymmetric compensated magnets staggered nonlinear spin generations centrosymmetric magnets spin generations electric control centrosymmetric altermagnets
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High efficiency of thalassemia prevention by next-generation sequencing:a real-world cohort study in two centers of China 认领 引用 被引量：2
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作者 Jinman Zhang Wenqian Zhang +18 位作者 Haoqing Zhang Aiqi Cai Caiyun Li Ling Liu Jufang Tan Yang Yang Wen Yuan Jing He Shiping Chen Yingli Cao Yan Zhang Jie Zhang Rui Zhou Shuai Hou Dongqun Huang Danjing Chen Zhiyu Peng Dongzhu Lei Baosheng Zhu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2026年第1期87-96,共10页
The occurrence of severe thalassemia,an inherited blood disorder that is either blood-transfusiondependent or fatal,can be mitigated through carrier screening.Here,we aim to evaluate the effectiveness and outcomes of ... The occurrence of severe thalassemia,an inherited blood disorder that is either blood-transfusiondependent or fatal,can be mitigated through carrier screening.Here,we aim to evaluate the effectiveness and outcomes of pre-conceptional and early pregnancy screening initiatives for severe thalassemia prevention in a diverse population of 28,043 women.Using next-generation sequencing(NGS),we identify 4,226(15.07%)thalassemia carriers across 29 ethnic groups and categorize them into high-(0.75%),low-(25.86%),and unknown-risk(69.19%)groups based on their spouses'screening results.Post-screening follow-up reveals 59 fetuses with severe thalassemia exclusively in high-risk couples,underscoring the efficacy of risk classification.Among 25,053 live births over 6 months of age,two severe thalassemia infants were born to unknown-risk couples,which was attributed to incomplete screening and late NGS-based testing for a rare variant.Notably,64 rare variants are identified in 287 individuals,highlighting the genetic heterogeneity of thalassemia.We also observe that migrant flow significantly impacts carrier rates,with 93.90%of migrants to Chenzhou originating from high-prevalence regions in southern China.Our study demonstrates that NGS-based screening during pre-conception and early pregnancy is effective for severe thalassemia prevention,emphasizing the need for continuous screening efforts in areas with high and underestimated prevalence. 展开更多
关键词 Thalassemia Carrier screening Next generation sequencing Rare thalassemia Clinical effectiveness Blood-transfusion-dependent
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The Agentic-AI Core:An AI-Empowered,Mission-Oriented Core Network for Next-Generation Mobile Telecommunications 认领 引用 被引量：1
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作者 Xu Li Weisen Shi +3 位作者 Hang Zhang Chenghui Peng Shaoyun Wu Wen Tong 《Engineering》 SCIE EI CSCD 2026年第1期104-119,共16页
While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easi... While the complexity of fifth-generation wireless networks is being widely commented upon,there is great anticipation for the arrival of the sixth generation(6G),with its enriched capabilities and features.It can easily be imagined that,without proper design,the enrichment of 6G will further increase system complexity.To address this issue,we propose the Agentic-AI Core(A-Core),an artificial intelligence(AI)-empowered,mission-oriented core network architecture for next-generation mobile telecommunications.In A-Core,network capabilities can be added and updated on the fly and further programmed into missions for enabling and offering diverse services to customers.These missions are created and executed by autonomous network agents according to the customer's intent,which may be expressed in natural language.The agents resolve intents from customers into workflows of network capabilities by leveraging a large-scale network AI model and follow the workflows to execute the mission.As an open,agile system architecture,A-Core holds promise for accelerating innovation and greatly reducing standard release times.The advantages of A-Core are demonstrated through two use cases. 展开更多
关键词 Sixth generation Core network Generative artificial intelligence Artificial intelligence agent
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Multimodal Trajectory Generation for Robotic Motion Planning Using Transformer-Based Fusion and Adversarial Learning 认领 引用 被引量：1
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作者 Shtwai Alsubai Ahmad Almadhor +3 位作者 Abdullah Al Hejaili Najib Ben Aoun Tahani Alsubait Vincent Karovic 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期848-869,共22页
In Human–Robot Interaction(HRI),generating robot trajectories that accurately reflect user intentions while ensuring physical realism remains challenging,especially in unstructured environments.In this study,we devel... In Human–Robot Interaction(HRI),generating robot trajectories that accurately reflect user intentions while ensuring physical realism remains challenging,especially in unstructured environments.In this study,we develop a multimodal framework that integrates symbolic task reasoning with continuous trajectory generation.The approach employs transformer models and adversarial training to map high-level intent to robotic motion.Information from multiple data sources,such as voice traits,hand and body keypoints,visual observations,and recorded paths,is integrated simultaneously.These signals are mapped into a shared representation that supports interpretable reasoning while enabling smooth and realistic motion generation.Based on this design,two different learning strategies are investigated.In the first step,grammar-constrained Linear Temporal Logic(LTL)expressions are created from multimodal human inputs.These expressions are subsequently decoded into robot trajectories.The second method generates trajectories directly from symbolic intent and linguistic data,bypassing an intermediate logical representation.Transformer encoders combine multiple types of information,and autoregressive transformer decoders generate motion sequences.Adding smoothness and speed limits during training increases the likelihood of physical feasibility.To improve the realism and stability of the generated trajectories during training,an adversarial discriminator is also included to guide them toward the distribution of actual robot motion.Tests on the NATSGLD dataset indicate that the complete system exhibits stable training behaviour and performance.In normalised coordinates,the logic-based pipeline has an Average Displacement Error(ADE)of 0.040 and a Final Displacement Error(FDE)of 0.036.The adversarial generator makes substantially more progress,reducing ADE to 0.021 and FDE to 0.018.Visual examination confirms that the generated trajectories closely align with observed motion patterns while preserving smooth temporal dynamics. 展开更多
关键词 Multimodal trajectory generation robotic motion planning transformer networks sensor fusion reinforcement learning generative adversarial networks
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Knowledge Graph-Driven Training Data Construction for Urban Flood-Traffic Scenario Generation Using Small Language Models 认领 引用
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作者 Geunhwi Park Juneyoung Park +1 位作者 Chunjoo Yoon Jaehong Park 《Computers, Materials & Continua》 SCIE EI 2026年第8期2128-2151,共24页
Urban flooding caused by extreme rainfall events disrupts transportation systems,yet generating realistic flood-traffic scenarios for disaster preparedness remains a labor-intensive manual process.This study proposes ... Urban flooding caused by extreme rainfall events disrupts transportation systems,yet generating realistic flood-traffic scenarios for disaster preparedness remains a labor-intensive manual process.This study proposes a Knowledge Graph(KG)-driven pipeline that automatically generates domain-specific training data for fine-tuning small language models(sLLMs)to synthesize urban flood-traffic scenarios.A domain KG comprising 58 entities and 285 relationships was constructed for Jinju City,South Korea,integrating empirical flood data from 112 local documents with quantitative rainfall-traffic impact values from 14 international studies.Nine domain constraint rules,including a novel spatial consistency rule,ensure the physical plausibility of generated scenarios.Through constrained weighted graph walks,800 semi-structured English narrative scenarios were automatically generated in approximately 5 min,substantially reducing the labor required compared to manual creation.Three sLLMs spanning different architectures and parameter scales—Flan-T5-Large(770M),Qwen2.5-3B-Instruct(3B),and Qwen2.5-7B-Instruct(7B)—were fine-tuned using QLoRA on a single GPU with 16 GB VRAM.Evaluation on 78 test samples demonstrated consistent performance improvements with increasing model scale:Qwen2.5-7B achieved BLEU-4 of 0.5524,ROUGE-L of 0.6883,BERTScore F1 of 0.9662,and KG Fact Consistency of 1.0000,representing a 33.8%BLEU-4 improvement over Flan-T5-Large.Both Qwen models achieved KG Fact Consistency of 1.0000.The 3B model achieved 98.6%of the 7B model’s BLEU-4 at 53%of the VRAM cost with identical factual consistency,representing the most cost-effective configuration.All models were trained for 10 epochs on the same GPU,demonstrating practical feasibility for municipal disaster response deployment. 展开更多
关键词 Knowledge graph training data generation urban flood traffic scenario small language model fine-tuning text generation QLoRA
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Autonomous driving scenario generation based on neural radiance fields or 3D Gaussian splatting:State-of-the-art investigations,reviews,and perspectives 认领 引用
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作者 Wei Zhou Wenbo Chu +4 位作者 Yue Tian Tianyang Fei Yulong Ding Xiaolin Tang Keqiang Li 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期226-240,共15页
Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing.In recent years,approaches based on Neural Radiance Fields(NeRF) and 3D Gaussian Splatting(3D GS) have opened new avenues for enha... Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing.In recent years,approaches based on Neural Radiance Fields(NeRF) and 3D Gaussian Splatting(3D GS) have opened new avenues for enhancing the performance of vehicle testing systems.This paper provides a systematic review of the latest research progress on NeRF and 3D GS in the context of autonomous driving scene reconstruction and explores their potential for future applications in the development of autonomous driving test systems.First,the paper briefly reviews the development trajectories of NeRF and 3D GS,presenting a concise timeline of representative works based on major databases such as Web of Science,IEEE Xplore,and arXiv,thereby offering essential background for the subsequent discussion.Next,the current state of research is comprehensively analyzed,with a particular focus on advancements in model architecture,scene editing,and the reconstruction of challenging autonomous driving scenarios.Finally,the paper outlines a research outlook on an integrated test system centered on NeRF or 3D GS,encompassing modules for large-scale dynamic scene reconstruction,autonomous scene editing,and perception-decision algorithms.This integrated framework aims to provide a valuable reference for building efficient and scalable testing platforms for autonomous driving. 展开更多
关键词 Autonomous driving Scenario generation Neural radiance fields 3D Gaussian splatting
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Crystal Regeneration under Dissolution-Growth Conditions as a Factor of Enhancement of Gemstones 认领 引用
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作者 Sergey A.Ananyev Svetlana S.Bondina Tatian A.Ananyeva 《宝石和宝石学杂志（中英文）》 CAS 2026年第1期91-102,共12页
It is demonstrated by the example of gem-quality ruby,spinel,beryl,scapolite,kunzite,danburite,and jeremejevite from various deposits that,under the conditions of staged mineral formation,their later low-temperature g... It is demonstrated by the example of gem-quality ruby,spinel,beryl,scapolite,kunzite,danburite,and jeremejevite from various deposits that,under the conditions of staged mineral formation,their later low-temperature generations are regenerated as a result of growth-dissolution and can acquire high gem-quality properties.These crystals formed under lower-temperature mineralization conditions.One of the characteristic features of such crystals,in addition to paragenetic associations,is their crystal morphology.The features of facet sculptures and internal structure,resulting from growth and dissolution,reflect their enhancement processes.These processes can occur both in parent rocks and in various types of cavities,such as pegmatite chambers,miaroles,or in crushed zones and fracture structures typically filled with later minerals,including loose aggregates and clay fractions. 展开更多
关键词 ruby spinel beryl scapolite kunzite danburite jeremejevite stages of mineral formation regeneration growth-dissolution crystal morphology of later generations of minerals
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COS generation behavior during desulfurization for H2S over zeolite in simulated blast furnace gas 认领 引用
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作者 Yan Guo Tuanyuan Hou +3 位作者 Yongjin Wang Liping Chang Jiancheng Wang Junjie Liao 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2026年第5期279-292,共14页
The removal of H2S from blast furnace gas(BFG)is significant for environmental protection and subsequent utilization.FAU zeolite is used widely for the H2S removal.However,carbonyl sulfide(COS)would be generated... The removal of H2S from blast furnace gas(BFG)is significant for environmental protection and subsequent utilization.FAU zeolite is used widely for the H2S removal.However,carbonyl sulfide(COS)would be generated during the desulfurization for H2S in BFG.Herein,the desulfurization behavior and COS release performance over FAU zeolite and alkaline earth metal-modified zeolite sorbents were carried out using fixed bed desulfurization equipment.The COS generation pathway was studied using transient experiments and in-situ Fourier transform infrared spectrometry.The results show that CO and CO2 in BFG could lead to COS formation,with more COS generated in the presence of CO2 compared to CO.For the COS generation pathway,CO and CO2 are adsorbed over zeolite to form carboxylic species,which subsequently reacts with H2S to form thiocarbonates species,and further generating COS.The FAU zeolite sorbents modified with alkaline earth metals could inhibit COS generation.This study provides a theoretical support for inhibiting COS generation during the desulfurization for H2S over zeolites. 展开更多
关键词 Adsorption Zeolite H2S COS generation Blast furnace gas
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A case report of brain abscess caused by Nocardia cyriacigeorgica identified by metagenomic next-generation sequencing 认领 引用
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作者 Wenqing Tu Peiting Zeng +5 位作者 Zhuangtian Wu Zuyong Li Tao Yu Wenxian Zhang Ran Chen Lian Liang 《World Journal of Emergency Medicine》 SCIE CAS CSCD 2026年第2期199-201,共3页
Nocardia is an aerobic,gram-positive,and opportunistic bacillus widely distributed in the environment.Nocardia cyriacigeorgica(N.cyriacigeorgica) was first isolated in 2001 from a chronic bronchitis patient,[1] and... Nocardia is an aerobic,gram-positive,and opportunistic bacillus widely distributed in the environment.Nocardia cyriacigeorgica(N.cyriacigeorgica) was first isolated in 2001 from a chronic bronchitis patient,[1] and has since been reported as an emerging clinically relevant pathogen worldwide.The diagnosis of nocardial infections remains challenging due to nonspecific symptoms and low culture sensitivity,resulting in high mortality.[2] Herein,we report a case of N.cyriacigeorgica brain abscess in an immunosuppressed patient who was successfully treated with antibiotics and surgery. 展开更多
关键词 immunosuppressed patient antibiotics nocardial infections Nocardia cyriacigeorgica clinically relevant pathogen brain abscess chronic bronchitis metagenomic next generation sequencing
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Data-driven intelligent analysis of hydrocarbon generation kinetics and differential characteristics during pyrolysis of coal macerals 认领 引用
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作者 Yijie Wen Zongsen Yao +5 位作者 Fan Yang Yi Cui Shouqing Yan Bin Yu Zijian Zhang Shu Tao 《International Journal of Coal Science & Technology》 SCIE EI CAS CSCD 2026年第2期427-447,共21页
The heterogeneity of macerals represents a key challenge to accurately evaluating the hydrocarbon generation potential of coal.Conventional methods often overlook these differences,leading to biased understanding of i... The heterogeneity of macerals represents a key challenge to accurately evaluating the hydrocarbon generation potential of coal.Conventional methods often overlook these differences,leading to biased understanding of its hydrocarbon generation characteristics.Therefore,this study integrates maceral identification,thermal simulation experiments,and machine learning algorithms to develop the extreme gradient boosting(XGBoost)prediction models for the yields of gaseous and liquid hydrocarbons.This approach enables enabling quantitative characterization of the hydrocarbon generation behavior of different macerals and identification of their primary controlling factors of coal in Xishanyao(J2x)Formation of Taibei Sag,China.The results indicate that the correlation coefficients of the prediction models for gaseous and liquid hydrocarbon yields are 0.98 and 0.78,respectively,and the difference in prediction accuracy between the two productions arises from differences in the primary controlling factors of hydrocarbon generation.SHAP and ANOVA analyses indicate that temperature is the primary controlling factor for gaseous hydrocarbon generation,whereas liquid hydrocarbon yields are synergistically controlled by temperature and macerals type.Among the macerals,sporinite is the favorable oil-prone component,while cutinite is characterized by“early oil and late gas.”Collotelinite is the principal gas-prone component,whereas collodetrinite and corpogelinite display relatively balanced potential for oil and gas.The differentiated hydrocarbon generation characteristics of the various macerals is essentially governed by differences in their molecular structures.The aliphatic chain structures primarily control oil generation,aromaticity governs gas generation,and bond types determine the distribution of the hydrocarbon generation window.Based on the above results,the study further delineates three types of favorable hydrocarbon-generating zones,namely Class Ⅰ and Class Ⅱ oil-gas co-generation zones and Class Ⅱ oil-generating zones. 展开更多
关键词 Taibei Sag Maceral Hydrocarbon generation kinetics Machine learning
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Measuring the Coulomb time shift in high-order harmonic generation 认领 引用
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作者 Shengjun Yue Siqi Song +3 位作者 Ruofeng Zhong Jiangkun Li Haiyuan Yu Hongchuan Du 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期61-70,共10页
High-order harmonic generation(HHG),a key nonlinear phenomenon in strong-field physics,enables ultrafast detection on the attosecond timescale.Quantifying ionizationecombination times is essential for trajectory-resol... High-order harmonic generation(HHG),a key nonlinear phenomenon in strong-field physics,enables ultrafast detection on the attosecond timescale.Quantifying ionizationecombination times is essential for trajectory-resolved highharmonic spectroscopy and for benchmarking its temporal resolution.In this review,we summarize our recent studies[Phys.Rev.A 105 L041103(2022),Phys.Rev.A 106023117(2022),Phys.Rev.A 107063102(2023),Phys.Rev.A111039902(2025)]on the role of electron-core interactions in HHG.Employing the classical trajectory model,analytical R-matrix theory,and numerical solutions of time-dependent Schrodinger equations for helium,we reveal how Coulomb attraction induces subtle shifts in ionization and recombination times.Such effects emerge as observable signatures under orthogonally polarized bichromatic fields at high probe frequencies.Because of the direct experimental relevance of these findings,this review seeks to stimulate further experimental efforts to control and resolve electron dynamics in HHG.In the future,it will be of great interest to(i)refine retrieval methods by incorporating Coulomb corrections beyond the staticfield approximation,and(ii)advance two-color detection techniques with the capability to reconstruct complete quantum trajectories in HHG. 展开更多
关键词 high-order harmonic generation ultrafast electron dynamics Coulomb effects attosecond science
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Role of trajectory symmetry in solid high-order harmonic generation 认领 引用
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作者 Shuang Wang Yu Zhao +3 位作者 Hui-Rong Wang Yun-He Xing Xiao-Xin Huo Jun Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第4期425-431,共7页
High-order harmonic generation(HHG)from a ZnO crystal has been investigated theoretically using a two-band model driven by a few-cycle laser pulse.We observe that harmonics in the cut-off region exhibit periodic frequ... High-order harmonic generation(HHG)from a ZnO crystal has been investigated theoretically using a two-band model driven by a few-cycle laser pulse.We observe that harmonics in the cut-off region exhibit periodic frequency shifts with changes in the carrier envelope phase(CEP)of the laser field.When the CEP of the laser pulse is an integer multiple of π,the cut-off region is dominated by even-order harmonics rather than odd-order harmonics.To illustrate the physical mechanism behind the even-order harmonics,we track the trajectories of electrons and holes between two successive halfcycles by performing time-frequency analysis and applying the recollision model.The results show that the maximum electron displacement is symmetric between successive half-cycles for odd-order harmonics.In contrast,the half-cycle symmetry of the maximum displacement is broken in the case of even-order harmonics. 展开更多
关键词 high-order harmonic generation recollision model trajectory analyses
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Spatio-temporal feature extraction with a global-local Transformer model for video scene graph generation 认领 引用
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作者 Rongsen Wu Jie Xu +4 位作者 Hao Zheng Zhiyuan Xu Zixuan Li Shixue Cheng Shumao Zhang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期364-374,共11页
In the field of video scene graph generation,spatio-temporal feature extraction and the long-tail effect in relationship classification are core research issues.This paper proposes extracting spatio-temporal features ... In the field of video scene graph generation,spatio-temporal feature extraction and the long-tail effect in relationship classification are core research issues.This paper proposes extracting spatio-temporal features using the global-local Transformer model for video scene graph generation.Methods based on the Transformer architecture and attention mechanism enrich the semantic information of spatio-temporal features in videos,thereby improving the accuracy of relationship classification.In the feature processing module,pose features are introduced to strengthen the semantic representation of objects.In the spatial feature encoding module,a local spatial visibility matrix based on bounding boxes and key points of human pose features is proposed to add the issue of insufficient attention to local details in traditional Transformer encoders.In the temporal feature encoding module,a global random frame extraction strategy is proposed,which considers global temporal features while also taking computational complexity into account.In the relation classification module,to address the uneven distribution of object and relation categories in the Action Genome dataset,a relation classification loss function based on bipartite graph matching and Focal Loss is proposed,which alleviates the long-tail effect in relation classification and improves the accuracy. 展开更多
关键词 Video scene graph generation Transformer Pose features Visibility matrix Bipartite graph matching
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Evaluation of the Tourism Consumption Environment for Generation Z in China’s Major Tourist Cities 认领 引用
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作者 WANG Xinyue LIU Yajing +1 位作者 ZHAO Shiyao LI Yunfei 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第5期897-910,共14页
The rise of Generation Z(Gen Z)is reshaping China’s domestic tourism consumption market,underscoring the urgent need to develop a Gen Z-friendly tourism consumption environment.To address the lack of targeted evaluat... The rise of Generation Z(Gen Z)is reshaping China’s domestic tourism consumption market,underscoring the urgent need to develop a Gen Z-friendly tourism consumption environment.To address the lack of targeted evaluation frameworks tailored to Gen Z’s tourism demands,this study constructed an innovative four-dimensional evaluation system(tourism industry environment,tourism infrastructure environment,new forms of tourism environment,tourism digital environment).From an integrated endogenous-exogenous perspective,it examined the overall level,spatial differentiation,and influence mechanisms of such environments in major tourist cities in China.Based on data from 36 major tourist cities in China,the entropy weight-Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)model,barrier degree model,and Fuzzy-set qualitative comparative analysis(fsQCA)were adopted to conduct empirical analysis,enriching tourism consumption environment theory by incorporating Gen Z’s unique demands and a dual analytical perspective.The results revealed that:1)major tourist cities can be classified into three types(leading,advantaged,potential)with distinct regional traits;2)the barrier degree model analysis identified digital tourism environment development as a universal bottleneck across all three types;3)fsQCA identified four exogenous causal configurations(Leisure Experience Empowerment,Innovation-Driven Development,Weak Digital Infrastructure,Insufficient Supporting Conditions)and proposed targeted optimization strategies.These findings provide both theoretical and practical references for policies to optimize Gen Z-friendly tourism consumption environments. 展开更多
关键词 Generation Z(Gen Z) tourism consumption environment consumption environment evaluation system influence mechanisms China
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High harmonic generation in solids driven by optical skyrmions 认领 引用
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作者 Jianing Zhang Zijian Lyu +4 位作者 Xiulan Liu Guanglu Yuan Zhengliang Li Yunquan Liu Liang-You Peng 《Advanced Photonics Nexus》 CSCD 2026年第1期224-235,共12页
With their intricate vectorial structures in space,optical skyrmions have significantly expanded the landscape of topological optics and light-matter interactions.We theoretically investigate high harmonic generation ... With their intricate vectorial structures in space,optical skyrmions have significantly expanded the landscape of topological optics and light-matter interactions.We theoretically investigate high harmonic generation in crystals driven by optical skyrmions.We find that although the skyrmion number is not conserved,the resulting high-order harmonics can exhibit a distinctive multi-vortex structure,whose features are shaped by both the topology of the optical skyrmions and the rotational symmetry of the crystal.The position of the vortex centers can be effectively tuned by employing different types of optical skyrmions.To elucidate the underlying physics,we develop a multi-absorption channel model based on the conservation laws of spin and orbital angular momentum.Our work explores the role of optical topology in extreme nonlinear light-matter interactions,offering new opportunities for the formation and manipulation of optical vortices and novel structured light fields in the visible and ultraviolet regimes. 展开更多
关键词 skyrmions high harmonic generation optical vortex spin conservation law
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Concept,technology generation classification and field practices of enhanced gas recovery 认领 引用
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作者 WEI Yunsheng YAN Haijun +7 位作者 GUO Jianlin WANG Junlei TANG Haifa GUO Zhi QI Yadong ZHU Hanqing WANG Zhongnan GAO Yanling 《Petroleum Exploration and Development》 SCIE 2026年第2期473-488,共16页
Starting from the first principle thinking,this study systematically reviews the development mechanisms of gas reservoirs and proposes the development concept of“full life cycle enhanced gas recovery(EGR)”.Following... Starting from the first principle thinking,this study systematically reviews the development mechanisms of gas reservoirs and proposes the development concept of“full life cycle enhanced gas recovery(EGR)”.Following the principles of scientificity,practicality and comparability,a generational classification system for EGR technologies is established.The research indicates that the properties of natural gas dictate a development mechanism primarily driven by pressure depletion to release the elastic expansion energy of gas.This leads to a development model centered on primary depletion,supplemented by limited adjustments in late stages.Early development essentially lies in well pattern optimization and risk pre-control,while late development focuses on targeted local adjustments and integrated collaborative control.Primary gas recovery,relying on natural energy depletion,achieves a recovery factor of 25%–55%.Secondary gas recovery,through active regulation of the reservoir pressure field via techniques like blockage removal,and injection-production optimization,can enhance the recovery factor by 10–15 percentage points.Tertiary gas recovery,employing multiple mechanisms to alter the reservoir's physical and chemical fields synergistically,offers a potential further increase of 5–10 percentage points.Currently,primary recovery technologies are mature and well-established.Synergistic optimization of well patterns and fracture networks enables effective production from gas-drive reservoirs,while optimized development strategies facilitate orderly production from water-drive gas reservoirs.Secondary recovery technologies,in the field pilot stage currently,adopt active measures like enhanced water drainage,water shutoff,and gas injection to effectively control water influx and release trapped gas.Tertiary recovery remains largely in the laboratory or pilot test stage.Future efforts should focus on cross-generational technologies,such as“primary+secondary”and“primary+tertiary”combinations,to continuously improve recovery factors throughout the full lifecycle of gas reservoirs. 展开更多
关键词 natural gas reservoir enhanced gas recovery technology generation classification depletion development pressure field regulation physical and chemical field regulation multi-mechanism synergy
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Logic-Aware Security Playbook Generation for SOAR Using Adversarial Representation Learning 认领 引用
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作者 Hangyu Hu Liangrui Zhang +4 位作者 Xiaowei Huang Xingmiao Yao Youyang Qu Xia Wu Guangmin Hu 《Computers, Materials & Continua》 SCIE EI 2026年第9期1219-1237,共19页
With the evolution of information technology toward more advanced intelligence and automation,Security Orchestration,Automation,and Response(SOAR)has become a critical foundation for security incident handling,owing t... With the evolution of information technology toward more advanced intelligence and automation,Security Orchestration,Automation,and Response(SOAR)has become a critical foundation for security incident handling,owing to its intelligent orchestration capabilities.Security playbooks,as the core mechanism for automated response in SOAR,require well-designed workflows and precise action matching to ensure efficient and accurate alert handling.However,with the rising sophistication of attacks and the expanding scale of security alerts,traditional expert-driven playbook recommendation approaches often degrade in recommendation quality or completely fail when existing playbook repositories cannot adequately cover unknown or novel alert scenarios.Generative Adversarial Network(GAN)offers a promising solution by capturing feature associations from existing playbooks and autonomously generating validated new playbooks tailored to previously unseen alert characteristics.Motivated by this,we propose a logic-aware,two-stage GAN-based playbook generation method in this paper.In the first stage,alert features are projected into a modeled playbook feature space to perform preliminary similarity matching.In the second stage,a hybrid strategy combining similarity-based recommendation and GAN-driven generation is used to produce and refine playbooks while preserving logical workflow integrity.Experimental results demonstrate that the proposed approach not only delivers high-precision playbook recommendations for known alert scenarios but also efficiently generates reliable playbooks for unseen alerts,achieving an average alert handling success rate of 86.55%,and thereby fulfilling response requirements in previously uncovered scenarios. 展开更多
关键词 SOAR security intelligent recommendation playbook generation generative adversarial network
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Introduction to the Special Issue on Cutting-Edge Security and Privacy Solutions for Next-Generation Intelligent Mobile Internet Technologies and Applications 认领 引用
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作者 Ilsun You Gaurav Choudhary +1 位作者 Gökhan Kul Francesco Falmieri 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期34-36,共3页
1 Introduction The growing connectivity with mobile internet has significantly enhanced our day-to-day life support through various services and applications with on-demand availability at any time or anywhere.As emer... 1 Introduction The growing connectivity with mobile internet has significantly enhanced our day-to-day life support through various services and applications with on-demand availability at any time or anywhere.As emerging technologies with continuous revolutions in the digital transformations,various add-on technologies such as quantum computing,AI,and next-generation networks such as 6G are becoming an integral support to mobile internet systems.The emerging technologies in the next-generation mobile internet bring a lot of new security and privacy challenges. 展开更多
关键词 mobile internet emerging technologies next generation networks services applications AI quantum computing quantum computingaiand digital transformationsvarious
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CAFE-GAN: CLIP-Projected GAN with Attention-Aware Generation and Multi-Scale Discrimination 认领 引用
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作者 Xuanhong Wang Hongyu Guo +3 位作者 Jiazhen Li Mingchen Wang Xian Wang Yijun Zhang 《Computers, Materials & Continua》 SCIE EI 2026年第1期1742-1760,共19页
Over the past decade,large-scale pre-trained autoregressive and diffusion models rejuvenated the field of text-guided image generation.However,these models require enormous datasets and parameters,and their multi-step... Over the past decade,large-scale pre-trained autoregressive and diffusion models rejuvenated the field of text-guided image generation.However,these models require enormous datasets and parameters,and their multi-step generation processes are often inefficient and difficult to control.To address these challenges,we propose CAFE-GAN,a CLIP-Projected GAN with Attention-Aware Generation and Multi-Scale Discrimination,which incorporates a pretrained CLIP model along with several key architectural innovations.First,we embed a coordinate attention mechanism into the generator to capture long-range dependencies and enhance feature representation.Second,we introduce a trainable linear projection layer after the CLIP text encoder,which aligns textual embeddings with the generator’s semantic space.Third,we design a multi-scale discriminator that leverages pre-trained visual features and integrates a feature regularization strategy,thereby improving training stability and discrimination performance.Experiments on the CUB and COCO datasets demonstrate that CAFE-GAN outperforms existing text-to-image generation methods,achieving lower Fréchet Inception Distance(FID)scores and generating images with superior visual quality and semantic fidelity,with FID scores of 9.84 and 5.62 on the CUB and COCO datasets,respectively,surpassing current state-of-the-art text-to-image models by varying degrees.These findings offer valuable insights for future research on efficient,controllable text-to-image synthesis. 展开更多
关键词 Large vision language models deep learning computer vision text-to-image generation
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Phase field model of fracture propagation and pressure evolution induced by fluid injection considering the effect of initial stress field in power generation test project of Gonghe Basin,China 认领 引用
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作者 Hong-wei Wang Hai-dong Wu +4 位作者 He-juan Liu Yong-bo Tie Li-sha Hu Lin-you Zhang Xian-peng Jin 《China Geology》 CAS CSCD 2026年第1期25-43,共19页
Hydraulic stimulation technology is widely employed to enhance the permeability of geothermal reservoirs.Nevertheless,accurately predicting hydraulic fracture propagation in complex geological conditions remains chall... Hydraulic stimulation technology is widely employed to enhance the permeability of geothermal reservoirs.Nevertheless,accurately predicting hydraulic fracture propagation in complex geological conditions remains challenging,thereby hindering the effective utilization of existing natural fractures.In this study,a phase field model was developed utilizing the finite element method to examine the influence of fluid presence,stress conditions,and natural fractures on the initiation and propagation of hydraulic fractures.The model employs Biot's poroelasticity theory to establish the coupling between the displacement field and the fluid field,while the phase field theory is applied to simulate fracture behavior.The results show that whenσx0/σy0<3 or qf<20 kg/(m3·s),the presence of natural fractures can alter the original propagation direction of hydraulic fractures.Conversely,in the absence of these conditions,the propagation path of natural fractures is predominantly influenced by the initial stress field.Furthermore,based on the analysis of breakdown pressure and damage area,the optimal intersection angle between natural fractures and hydraulic fractures is determined to range from 45°to 60°.Finally,once a dominant channel forms,initiating and propagating hydraulic fractures in other directions becomes increasingly difficult,even in highly fractured areas.This method tackles the challenges of initiating and propagating hydraulic fractures in complex geological conditions,providing a theoretical basis for optimizing Enhanced Geothermal System(EGS)projects. 展开更多
关键词 Hot dry rock permeability Enhance geothermal system(EGS) Hydraulic stimulation Phase field model Fracture propagation Breakdown pressure Power generation test Clean energy geological survey engineering
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