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Uncovering the urban-rural integration of China over the past 40 years:Measurement framework and spatial-temporal evolution 认领 引用 被引量：1
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作者 Chuanglin Fang Kewen Wang +6 位作者 Zehui Chen Zhitao Liu Menghang Liu Biao Sun Xia Liao Lingyu Meng Zhiying Yang 《Geography and Sustainability》 CSCD 2026年第3期51-62,共12页
Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integra... Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integration progress and address the uneven issues in specific fields,this study constructed a novel seven-dimension index system of urban-rural integration,comprising free population mobility,efficient land transfer,interactive economic growth,highly-linked transportation,equal public services,joint environmental governance and unimpeded informatization between urban and rural areas.Based on a comprehensive measurement framework and multi-source panel data,we uncovered the spatial-temporal evolution of urban-rural integration in China’s 367 prefecture-level administrative units from 1980 to 2022.The results demonstrated that China’s urban-rural integration steadily increased from 27.51 to 57.35 with an average annual growth rate of 3.40%.Whereas,the overall urban-rural integration was relatively inferior in 2022,at the level of moderate integration whose proportion of China’s land area was 88.08%.The urban-rural integration level in eastern region and urban agglomerations was higher than that in mid-west and non-urban agglomerations.From the perspective of seven dimensions,interactive economic growth,joint environmental governance and unimpeded informatization made an obvious improvement and reached higher integration,while free population mobility,efficient land transfer,highly-linked transportation and equal public services maintained the stage of moderate integration in 2022.In the future,China should make targeted efforts for urban-rural integration in terms of population,land use,transportation and public services,and accelerate urban-rural common prosperity in the mid-west and economically underdeveloped areas. 展开更多
关键词 Urban-rural integration Measurement framework Spatial-temporal evolution Heterogeneity China
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Neural Circuit with Top-Down Inhibitory Feedback Outperforms Optimal Bayesian Integration in Multisensory Integration 认领 引用
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作者 Yelin Dong Hongzhi You +3 位作者 Yuxiu Shao Yong Gu KongFatt Wong-Lin Da-Hui Wang 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第6期1279-1294,共16页
Bayesian integration is posited as a fundamental computational mechanism underlying multisensory integration,and feedforward neural networks have been proposed to instantiate optimal Bayesian integration(OBI).However,... Bayesian integration is posited as a fundamental computational mechanism underlying multisensory integration,and feedforward neural networks have been proposed to instantiate optimal Bayesian integration(OBI).However,empirical and theoretical research highlights the prevalence of neural feedback projections,raising questions about how recurrent neural networks might contribute to multisensory OBI.We simulated a two-layer neural circuit computational model with reciprocal projections performing a perceptual discrimination task,in which sensory inputs comprise single or dual modalities.The model with reciprocal projections between sensory and decision-making modules can match,underperform,or outperform OBI,depending on feedforward–feedback interplay.This model performance variability accords with prior experimental data.In addition,our theoretical analysis reveals the importance of non-linear interactions within neuronal assemblies in mediating such multisensory integration behaviors.Our work suggests that sensory modalities can be entangled through top-down feedback,challenging the traditional view of their independence,while explaining deviations from OBI. 展开更多
关键词 Neural network Multisensory integration Bayesian optimal integration Non-Bayesian integration
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Intelligent integration and advancement of multi-organ-on-a-chip 认领 引用
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作者 Chen-Xi Song Lu Huang 《Biomedical Engineering Communications》 CAS 2026年第1期1-3,共3页
Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technol... Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technology overcomes the limitations of traditional single-organ models,providing a novel platform for investigating complex disease mechanisms and evaluating drug efficacy and toxicity.Although it demonstrates broad application prospects,its development still faces critical bottlenecks,including inadequate physiological coupling between organs,short functional maintenance durations,and limited real-time monitoring capabilities.Contemporary research is advancing along three key directions,including functional coupling,sensor integration,and full-process automation systems,to propel the technology toward enhanced levels of physiological relevance and predictive accuracy. 展开更多
关键词 investigating complex disease mechanisms emulate complex interactions multiple human organs vitro sensor integration intelligent integration predictive accuracy physiological coupling multi organ chip microfluidic systemsthis
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Multi-scale research on coal chemical wastewater treatment:Pollutant molecules,technologies,and process integration 认领 引用
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作者 Yirong Feng Jianxin Shi +4 位作者 Qingya Wang Bingxiao Feng Yongqing Wei Wei He Hengjun Gai 《Green Energy & Environment》 SCIE EI CAS CSCD 2026年第5期1233-1254,共22页
The coal chemical industry serves as an indispensable element in the fabric of the global energy system.However,the wastewater generated from its production processes exhibits high chemical oxygen demand,high toxicity... The coal chemical industry serves as an indispensable element in the fabric of the global energy system.However,the wastewater generated from its production processes exhibits high chemical oxygen demand,high toxicity,and poor biodegradability,posing severe challenges to the ecological sustainability of the coal chemical industry.This review systematically summarizes recent advances in treatment technologies for coal chemical wastewater(CCW)through a“pollutant molecules-technology-process integration”framework analyzed from micro-to macro-scale perspectives.It begins by delineating the complex chemical composition of CCW and identifying key toxic substances,thereby clarifying the current challenges in treatment processes and establishing a micro-scale foundation for technological development.The review then highlights solvent extraction,grounded in intermolecular interactions,as a core method for recovering phenolic compounds.This is followed by an in-depth analysis of the performance and mechanisms of biological treatment and advanced oxidation processes(AOPs)for the deep removal of refractory organic pollutants.Finally,from a macro-scale perspective,the integration of pretreatment,biological treatment,and AOPs into systematic frameworks is discussed.A thorough understanding of the molecular characteristics of pollutants is crucial for developing efficient treatment technologies.Moreover,system-level integration via process intensification and technological synergy is considered essential for achieving efficient purification and resource recovery from CCW. 展开更多
关键词 Coal chemical wastewater Phenol recovery Biochemical treatment Advanced oxidation Process integration
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Integration of functional magnetic resonance imaging and artificial intelligence in Alzheimer's disease 认领 引用
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作者 Liqin Yang Yuxin Li +2 位作者 Kuangyu Shi Axel Rominger Ruiqing Ni 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第9期4241-4242,共2页
Alzheimer's disease(AD),the most common cause of dementia,is a progressive neurodegenerative disease characterized by progressive cognitive decline and memory loss.Mild cognitive impairment(MCI)is the prodromal st... Alzheimer's disease(AD),the most common cause of dementia,is a progressive neurodegenerative disease characterized by progressive cognitive decline and memory loss.Mild cognitive impairment(MCI)is the prodromal stage of AD,with a conversion rate of 10%-15%per year and 50%conversion rate longitudinally.The pathological features of AD include the aberrant accumulation of amyloid-βplaques,neurofibrillary tangles formed by hyperphosphorylated tau and synaptic dysfunction(Nussbaumer et al.,2025),all of which have cascading effects on the brain activity of AD patients. 展开更多
关键词 integration artificial intelligence Alzheimers disease functional magnetic resonance imaging synaptic dysfunction nussbaumer hyperphosphorylated tau cognitive decline alzheimers disease ad
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hfCas12Max-mediated targeted integration at accessible chromatin regions with a goat-derived UCOE enhances stable recombinant lactoferrin expression 认领 引用
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作者 Zhenliang Zhu Jing Han +10 位作者 Jianglin Zhao Yangyi Jian Yong Zhang Yayi Liu Peipei Bian Zhenyu Wei Xiaodan Ma Rui Feng Yong Zhang Yuanpeng Gao Jun Liu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2026年第4期667-678,共12页
Stable transgene expression in the mammary gland is crucial for recombinant protein production in livestock,yet it is frequently hampered by transgene silencing and random integration.To address this,we profile chroma... Stable transgene expression in the mammary gland is crucial for recombinant protein production in livestock,yet it is frequently hampered by transgene silencing and random integration.To address this,we profile chromatin accessibility in goat mammary epithelial cells(GMECs)using ATAC-seq and identify 15 highly accessible genomic regions.Three of these regions are confirmed to support stable transgene expression.Notably,we identify a goat-derived ubiquitous chromatin opening element(UCOE)in the SF3B1-COQ10B intergenic region,with a high GC content(65%)and CpG island enrichment.This UCOE improves hfCas12Max-mediated integration of large DNA fragments and maintains high-level expression of human lactoferrin(hLTF)in GMECs.Subsequently,we precisely integrate the UCOE-hLTF cassette into the highly accessible loci and generate a transgenic goat via somatic cell nuclear transfer,without detectable off-target effects.Our pipeline,which integrates chromatin accessibility profiling,UCOE discovery,and precision editing,demonstrates the role of CpG island-containing UCOEs in preventing transgene silencing.The study provides valuable tools for enhancing recombinant protein production,supports the breeding of dairy goats for milk with high lactoferrin content,and advances the understanding of the interactions between chromatin,regulatory elements,and transgenes in molecular breeding. 展开更多
关键词 Goat mammary gland bioreactor ATAC-seq Integration sites Ubiquitous chromatin-opening element(UCOE) CpG island hfCas12Max
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Efficacy of Traditional Chinese Medicine psychosomatic integration therapy for subthreshold depression:a multicenter randomized controlled trial 认领 引用
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作者 HU Wenyue ZHONG Biying +4 位作者 WANG Zhenyi ZHANG Meng CHANG Ze TAN Xi HAN Zhenyun 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2026年第2期392-400,共9页
OBJECTIVE:To evaluate the efficacy of Traditional Chinese Medicine(TCM)psychosomatic integration therapy in treating subthreshold depression(SD).METHODS:A multicenter randomized controlled trial was conducted.Eligible... OBJECTIVE:To evaluate the efficacy of Traditional Chinese Medicine(TCM)psychosomatic integration therapy in treating subthreshold depression(SD).METHODS:A multicenter randomized controlled trial was conducted.Eligible participants were evaluated by physicians and randomly assigned to either the intervention or control group.The intervention group received group psychotherapy,Jue tune music therapy,and Yuleyin oral formula(郁乐饮).The control group received only group psychotherapy.The intervention period lasted 12 weeks,followed by a 12-week follow-up.The primary outcome was the Center for Epidemiologic Studies Depression Scale(CES-D)score at week 12.Secondary outcomes included dropout rate,scores of the Hamilton Anxiety Scale(HAMA)and the Hamilton Depression Rating Scale(HAMD-17)at week 12,and CES-D scores at weeks 4,8,16,20,and 24.RESULTS:A total of 505 patients were randomly allocated to the two groups,and 496 participants[77%female;(38±16)years]were included in the final analysis.The primary outcome showed no statistically significant difference in CES-D scores between the intervention and control groups at week 12(P>0.05).However,the intervention group exhibited significant reductions in CES-D scores at weeks 4,8,12,16,20,and 24 compared to baseline,and at week 24 compared to week 12(P<0.0001).The control group also showed significant reductions in CES-D scores at weeks 4 and 8 during the intervention period(P<0.0001).Although no significant differences were observed between groups at each specific time point,the intervention group showed a more consistent downward trend.Additionally,both HAMD and HAMA scores significantly decreased from baseline to week 12 in both groups(P<0.0001).CONCLUSIONS:TCM psychosomatic integration therapy,which includes group psychotherapy,Jue tune music therapy,and Yuleyin oral formula,may be effective in improving symptoms of SD,with good safety and feasibility.The complete TCM intervention demonstrated better long-term effectiveness than group psychotherapy alone.Further high-quality studies are needed to validate these findings. 展开更多
关键词 Traditional Chinese Medicine psychosomatic integration therapy group psychotherapy Jue tune music therapy Yuleyin randomized controlled trial
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Novel robust cross-modal integration fusion model for rapid moisture content detection in concrete sand 认领 引用
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作者 Zhijian CAI Jun ZHANG +3 位作者 Xiaoling WANG Jiajun WANG Kehao ZHAO Guohua WU 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2026年第7期711-729,I0033-I0042,共19页
The rapid and accurate detection of concrete sand moisture content(MC)is crucial for ensuring concrete quality.However,existing unimodal detection methods are constrained by limited representative features and lack ro... The rapid and accurate detection of concrete sand moisture content(MC)is crucial for ensuring concrete quality.However,existing unimodal detection methods are constrained by limited representative features and lack robustness.Multimodal operations often involve simple concatenation of features from different modalities,lacking potential interactivity among features.To address this issue,a novel robust cross-modal integration fusion model,which uses five branches to extract the features of images,near-infrared spectrum,and dielectric constant and a multilevel cross-modal integration fusion network to fuse these features,is proposed for the rapid detection of MC in concrete sand.Specifically,the multilevel cross-modal integration fusion network comprises a feature attention module,a cross-modal self-attention fusion module,and an integrated output module.The feature attention module enhances the feature representation from each modality,reducing the interference from redundant features and noise.The cross-modal self-attention fusion module employs a residual self-attention mechanism to deeply mine and fuse interactions between modalities while retaining low-level features,improving model accuracy and stability.The integrated output module is utilized to obtain more robust prediction results.The results show that the proposed model outperforms unimodal,traditional multimodal,and cross-modal methods on our concrete sand dataset,achieving excellent and robust prediction results for both machine-made sand(root mean square error ERMS=0.458,coefficient of determination R2=0.983,and residual predictive deviation DRP=7.900)and natural sand(ERMS=0.705,R2=0.984,and DRP=7.931).The detection time was within 71 s,significantly enhancing the detection frequency and efficiency,which provides a reliable solution for the rapid detection of MC in concrete sand. 展开更多
关键词 Concrete sand Rapid moisture content(MC)detection Cross-modal integration fusion Robust prediction
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Development status and trends of oil production engineering technology in the context of interdisciplinary integration 认领 引用
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作者 LIU He JIN Xu +2 位作者 YANG Qinghai WANG Xiaoqi MENG Siwei 《Petroleum Exploration and Development》 SCIE 2026年第3期844-863,共20页
This paper systematically reviews the development stages and current status of key oil production engineering domains,including injection-production engineering,artificial lift,reservoir stimulation,and workover opera... This paper systematically reviews the development stages and current status of key oil production engineering domains,including injection-production engineering,artificial lift,reservoir stimulation,and workover operations.The major challenges for oil production engineering are identified in four aspects:intelligent terminal equipment and process integration,extreme-environment operations,and collaborative operational constraints;AI-driven data and modeling complexities,and advanced structural and functional materials requirements;and the need for geology-engineering integration in reservoir characterization,operational efficiency and green development.Centered on multidisciplinary integration,the concept of the Oil Production Engineering Agent is introduced as a miniaturized,intelligent,and integrated hardware-software system designed for extreme downhole environments and complex conditions,incorporating power supply,communication,sensing,computation,and actuation modules to enable environmental perception,autonomous decision-making and adaptive control.The characteristics of various agent types,including those for injection-production,lift,fracturing and workover,are analyzed,with key research directions identified in miniaturized self-powered energy management,reliable communication in high-interference environments,highly integrated multi-parameter sensing with long-term drift self-calibration,and high-reliability microsystem integration manufacturing.AI-driven decision optimization remains the core feature,requiring advances in data acquisition,governance,and fusion architectures,alongside algorithmic improvements in model performance and deployment compatibility.Additionally,advanced structural and functional materials support agent construction and extreme-environment adaptability,while geology-engineering integration continues to expand the functional scope of oil production engineering. 展开更多
关键词 oil production engineering interdisciplinary integration oil production engineering agents intelligent transformation low-carbon transition
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Fluorophore integration strategy endowing 3D covalent organic frameworks with dual-mode white light emission 认领 引用
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作者 Jialiang Liu Chengtao Gong +5 位作者 Jinchen Qian Sen Wang Yi Liang Chenglong Guo Yongwu Peng Jun Pan 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第4期279-283,共5页
The design of covalent organic frameworks(COFs)with strong fluorescence in both solid and solution states present a significant challenge for white-light-emitting diode(WLED)applications,primarily due to the difficult... The design of covalent organic frameworks(COFs)with strong fluorescence in both solid and solution states present a significant challenge for white-light-emitting diode(WLED)applications,primarily due to the difficulty of balancing aggregation-induced emission(AIE)and aggregation-caused quenching(ACQ).Here,we report the synthesis of a 7-fold interpenetrated three-dimensional COF(3D COF)with a pts topology,termed ZJUT-M,constructed by co-condensation of a T4-symmetric monomer with two D2h-symmetric fluorophores exhibiting distinct emission behaviors.ZJUT-M displays robust fluorescence in both solid and solution states,enabling its use in WLEDs.Mechanistic studies reveal that the dual-mode emission is driven by the synergistic integration of high-degree-of-freedom chromophores,which promote AIE emission in the solid state,and conformationally restricted fluorophores,which suppress ACQ effect in solution.These findings provide a strategic pathway for achieving multi-state emissive COFs,opening avenues for their application in advanced optoelectronic devices,including next-generation LEDs. 展开更多
关键词 Three-dimensional covalent organic frameworks Aggregation-induced emission(AIE) Aggregation-caused quenching(ACQ) Fluorophore integration strategy Dual-mode white light emission Next-generation LEDs
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Impact of county-to-district conversion on the urban-rural integration development: A case study from Jiangsu Province,China 认领 引用
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作者 MENG Gui WANG Kaiyong +1 位作者 WANG Fuyuan LI He 《Regional Sustainability》 CAS CSCD 2026年第2期59-74,共16页
County-to-district conversion(CDC) has restructured the pattern of urban-rural development and influenced the allocation of resources by local governments as well as the urbanization process.However,the impact and mec... County-to-district conversion(CDC) has restructured the pattern of urban-rural development and influenced the allocation of resources by local governments as well as the urbanization process.However,the impact and mechanism of the CDC on China's urban-rural integration development(URID) are not yet clear.Using panel data from 52 county-level cities,districts,and counties in Jiangsu Province of China during 2005–2021,this paper constructed an evaluation system for URID and applied the multi-period difference-in-differences(DID) model to measure the impact of the CDC on URID and identify its primary mechanisms of action.The results demonstrated that the CDC has significantly fostered URID,though with pronounced regional heterogeneity.Specifically,while the CDC facilitated URID in the southern and central Jiangsu Province—regions characterized by high socio-economic development—it exerted a less significant impact in the comparatively underdeveloped northern Jiangsu Province.Mechanistically,the implementation of the CDC promotes equal regional development,enhances rural selfdevelopment capacity,improves environmental quality and living standards,and optimizes urban-rural land allocation and transport networks.Ultimately,this study clarifies the role of the CDC in China,provides insights for achieving URID,and offers a reference for other countries pursuing coordinated urban-rural development. 展开更多
关键词 County-to-district conversion(CDC) Urban-rural integration development(URID) Multi-period difference-in-differences(DID) County-level city
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GNN:Core Branches,Integration Strategies and Applications 认领 引用
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作者 Wenfeng Zheng Guangyu Xu +3 位作者 SiyuLu Junmin Lyu Feng Bao Lirong Yin 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第1期156-190,共35页
Graph Neural Networks(GNNs),as a deep learning framework specifically designed for graph-structured data,have achieved deep representation learning of graph data through message passing mechanisms and have become a co... Graph Neural Networks(GNNs),as a deep learning framework specifically designed for graph-structured data,have achieved deep representation learning of graph data through message passing mechanisms and have become a core technology in the field of graph analysis.However,current reviews on GNN models are mainly focused on smaller domains,and there is a lack of systematic reviews on the classification and applications of GNN models.This review systematically synthesizes the three canonical branches of GNN,Graph Convolutional Network(GCN),Graph Attention Network(GAT),and Graph Sampling Aggregation Network(GraphSAGE),and analyzes their integration pathways from both structural and feature perspectives.Drawing on representative studies,we identify three major integration patterns:cascaded fusion,where heterogeneous modules such as Convolutional Neural Network(CNN),Long Short-Term Memory(LSTM),and GraphSAGE are sequentially combined for hierarchical feature learning;parallel fusion,where multi-branch architectures jointly encode complementary graph features;and feature-level fusion,which employs concatenation,weighted summation,or attention-based gating to adaptively merge multi-source embeddings.Through these patterns,integrated GNNs achieve enhanced expressiveness,robustness,and scalability across domains including transportation,biomedicine,and cybersecurity. 展开更多
关键词 Graph neural network(GNN) Graph convolutional network(GCN) Graph attention network(GAT) Graph sampling aggregation network(GraphSAGE) integration
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Compressed CO2 energy storage technology and its integration with CO2 capture,utilization and storage:A review and perspective 认领 引用
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作者 Qian Wu Yang Li +1 位作者 Liang Yin Qianguo Lin 《ENGINEERING Energy》 SCIE EI CAS CSCD 2026年第2期11-43,共33页
Compressed carbon dioxide(CO2)energy storage(CCES)has emerged as a promising large-scale energy storage technology,characterized by high energy density,moderate critical temperature,and operational flexibility.Conc... Compressed carbon dioxide(CO2)energy storage(CCES)has emerged as a promising large-scale energy storage technology,characterized by high energy density,moderate critical temperature,and operational flexibility.Concurrently,carbon capture,utilization and storage(CCUS)technology represents a critical pathway toward carbon neutrality for energy systems.The integration of CCES with CCUS is attracting growing research interests due to its unique potential to synergize energy and carbon flows within a closed-loop framework.This paper provides a comprehensive literature review of technological advancements in CCES and offers a perspective on its integration with CCUS.First,the fundamental working principle,system configurations,key performance indicators,and emerging demonstration projects of CCES are introduced.Subsequently,cutting-edge research and key challenges of CCES system are reviewed,focusing on optimization of CO2-based mixed working media,efficient liquefaction of low-pressure CO2,development of low-cost and safe CO2 storage facilities,enhancement of system performance through integration,and evaluation of dynamic behaviors.A central focus is placed on the integration of CCES with CCUS,highlighting how this synergy transforms CCES from a pure storage technology into a multi-functional tool for carbon management.This integration enables infrastructure sharing,dual-function storage(for energy and CO2),and improved economics.Finally,this review identifies key directions for future research,including advancing efficient system integration,developing high-precision transient simulation models and dynamic control algorithms,ensuring long-term safety of geological reservoirs under cyclic injectionextraction operations,and establishing multi-objective optimization and multicriteria assessment frameworks to support the commercial deployment of integrated CCES-CCUS systems. 展开更多
关键词 Compressed CO2energy storage(CCES) Carbon capture utilization and storage(CCUS) Performance evaluation CCES integration CO2utilization Geological storage
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Digital-green integration promotes synergistic pollution reduction and carbon mitigation:Mechanism analysis based on whole-process production control 认领 引用
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作者 Jie Xu Dongpeng Cheng Xianfeng Han 《Chinese Journal of Population,Resources and Environment》 CSCD 2026年第2期184-195,共12页
Synergistic pollution reduction and carbon mitigation(SPRCM)are inherent requirements for high-quality development.This study explores the internal mechanisms through which digital-green integration(DGI)policies facil... Synergistic pollution reduction and carbon mitigation(SPRCM)are inherent requirements for high-quality development.This study explores the internal mechanisms through which digital-green integration(DGI)policies facilitate SPRCM from the perspective of deep integration between“digitalization”and“greenization”.It aims to provide policy recommendations for coordinating the implementation of the“Digital China”and“Beautiful China”strategies.Using panel data from 280 prefecture-level cities(2010-2022)and treating the overlap between the Big Data Comprehensive Pilot Zone policy and the Low-Carbon City Pilot policy as a quasi-natural experiment for DGI,this study applies a double machine learning model to investigate its impact mechanisms and multidimensional policy effects.The findings indicate that,first,DGI enhances pollution emission efficiency and carbon emission efficiency,generating significant synergistic effects.Second,mechanism analysis based on whole-process production control reveals that during the source prevention stage,DGI drives SPRCM by optimizing the energy structure.At the process control stage,it enhances synchronized SPRCM through improved production efficiency.At the end-of-pipe treatment stage,advancements in green end-of-pipe technologies emerge as the dominant force propelling synergistic effects.Third,heterogeneity analysis reveals that the pollution reduction and carbon mitigation effects of DGI are more pronounced in resource-based cities,innovative cities,and cities within the Yangtze River Economic Belt than in non resource-based cities,non-innovative cities,and cities outside this strategic economic region.Consequently,a multipronged policy mix should be implemented to amplify the catalytic role of digital-green policy integration in driving pollution and carbon reduction.Whole-process production controls must be strengthened to streamline mitigation pathways,and region-specific strategies for DGI should be tailored based on local conditions with dynamic guidance. 展开更多
关键词 Digital-green integration Synergistic pollution reduction and carbon mitigation Whole-process production control Double machine learning
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Toward high-layer 3D hafnia ferroelectric stacks for neuromorphic computing:manufacturing insights and integration challenges 认领 引用
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作者 Ruifu Zhou Hyeon-seo Do Jang-Sik Lee 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第3期396-429,共34页
Ferroelectric hafnium-oxide(HfO2)films have revitalized interest in brain-inspired hardware because of their high scalability,compatibility with complementary metal-oxide-semiconductor(CMOS)processes,and suitability f... Ferroelectric hafnium-oxide(HfO2)films have revitalized interest in brain-inspired hardware because of their high scalability,compatibility with complementary metal-oxide-semiconductor(CMOS)processes,and suitability for three-dimensional(3D)architectures.This review first analyses the origin,deposition routes,and performance of hafnia-based devices,including ferroelectric field-effect transistor,ferroelectric tunnelling junction and ferroelectric capacitor.As artificial intelligence(AI)continues to advance,the demand for higher memory density becomes increasingly critical.This review presents hafnia-based devices and arrays in both planar and 3D architectures.In 3D structures,the review discusses the principal integration constraints—back-end-of-line(BEOL)-compatible crystallization,conformal atomic layer deposition(ALD)with controlled phase and defects in high-aspect-ratio features,and cross-layer stress together with layer-to-layer variability/disturbance,which collectively determine stackable scalability and influence energy efficiency and training stability,thereby pointing toward compact,energy-efficient,and scalable 3D neuromorphic hardware based on hafnia ferroelectrics. 展开更多
关键词 hafnium oxide ferroelectrics neuromorphic computing 3D integration
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New Insights and Prospects for the Urban-Rural Fringe in the Context of Urban-Rural Integration 认领 引用
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作者 FU Bo GANG Shuang XUE Bing 《Chinese Geographical Science》 SCIE CAS CSCD 2026年第2期191-206,共16页
Promoting urban-rural integration and facilitating the bidirectional flow of urban and rural elements are core spatial objectives in the new era of China.The urban-rural fringe represents the region with the most inte... Promoting urban-rural integration and facilitating the bidirectional flow of urban and rural elements are core spatial objectives in the new era of China.The urban-rural fringe represents the region with the most intense interaction between urban and rural areas,serving as a key zone for breaking down barriers and promoting urban-rural integration.Based on a systematic review of representative case studies and scholarly literature,this paper synthesizes the evolving research perspectives on the urban-rural fringe,with particular attention to how data-driven approaches that integrate official statistics,remote sensing imagery,points of interest,and mobile phone signaling data have advanced the characterization of fringe features,refined identification methods,and revealed emerging developmental trends through spatial clustering and machine learning classification.It proposes an integrated analytical framework encompassing administrative boundaries,economic metabolism,social activities,material infrastructure,and the ecological environment.The paper further examines the characteristics and emerging development trends of urban-rural fringe areas and advances a set of strategic directions to support urban-rural integration and more efficient resource allocation.These include expanding analytical dimensions,enhancing data integration,refining identification criteria,elucidating mechanisms of internal and external interactions,and strengthening interdisciplinary collaboration.Collectively,these efforts offer actionable insights for optimizing public service delivery,directing infrastructure investment in transportation and utilities,delineating ecological conservation boundaries,and implementing place-based socioeconomic revitalization strategies in the urban-rural fringe regions. 展开更多
关键词 urban-rural fringe urban-rural integration literature review urban planning analytical framework
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Training Program Reform and Curriculum Construction of Characteristic Software Innovation Talents Based on the Integration of Industry and Education 认领 引用
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作者 Yixian Liu Jun Guo +2 位作者 Bin Zhang Dongming Chen Zhiliang Zhu 《计算机教育》 2026年第3期190-198,共9页
Aiming at the problem of innovative talent training in the industry field in characteristic software colleges,combined with the actual situation of Software College of Northeastern University,this paper analyzes the c... Aiming at the problem of innovative talent training in the industry field in characteristic software colleges,combined with the actual situation of Software College of Northeastern University,this paper analyzes the construction requirements of characteristic talent training mode and training scheme,puts forward the reform of characteristic software innovative talent training scheme integrating production and education,and takes the characteristic direction of financial technology as an example to introduce the curriculum construction based on industry-education integration and school-enterprise cooperation. 展开更多
关键词 Integration of industry and education Characteristic talents cultivation Program reform Curriculum construction
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Coupling Development Between Digital Economy–Agriculture Integration and Rural Revitalization in China:Spatiotemporal Disparities and Evolution Trends 认领 引用
18
作者 Peng Xiangjun Jia Qingsong 《Contemporary Social Sciences》 2026年第1期71-89,共19页
This study aims to promote the optimization and upgrading of the economic structure in rural areas of China by focusing on the coupling coordination mechanism between digital economy–agriculture integration and rural... This study aims to promote the optimization and upgrading of the economic structure in rural areas of China by focusing on the coupling coordination mechanism between digital economy–agriculture integration and rural revitalization.By examining panel data from 30 Chinese provinces,autonomous regions,and municipalities between 2011 and 2022,the research constructs a weight-based evaluation system that integrates subjective and objective methods and a coupling coordination model to reveal its dynamic evolution patterns.Key findings indicate that digital economy–agriculture integration and rural revitalization achieve cross-coupling through critical activities.The impact of digital-agriculture integration on advancing rural revitalization lags by 2–3 years.Although the coupling development degree between the two systems continues to improve,it remains at the stage of primary coordination.Regional disparities are significant,showing a gradient pattern of“high degree of coupling development in the east and low degree of coupling development in the west.” 展开更多
关键词 digital economy-agriculture integration rural revitalization coupling coordination coupling development
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Structural Reliability Analysis Based on Differential Evolution Algorithm and Hypersphere Integration 认领 引用
19
作者 CHEN Zhenzhong HAN Zhuo +4 位作者 WANG Peiyu PAN Qianghua LI Xiaoke GAN Xuehui CHEN Ge 《Journal of Donghua University(English Edition)》 CAS 2026年第1期118-130,共13页
In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order relia... In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order reliability methods exhibit limited accuracy in highly nonlinear scenarios.To overcome these challenges,a novel reliability analysis strategy based on a multimodal differential evolution algorithm and a hypersphere integration method is proposed.Initially,the penalty function method is employed to reformulate the MPP search problem as a conditionally constrained optimization task.Subsequently,a differential evolution algorithm incorporating a population delineation strategy is utilized to identify all MPPs.Finally,a paraboloid equation is constructed based on the curvature of the limit-state function at the MPPs,and the failure probability of the structure is calculated by using the hypersphere integration method.The localization effectiveness of the MPPs is compared through multiple numerical cases and two engineering examples,with accuracy comparisons of failure probabilities against the first-order reliability method(FORM)and the secondorder reliability method(SORM).The results indicate that the method effectively identifies existing MPPs and achieves higher solution precision. 展开更多
关键词 reliability analysis design point positioning differential evolution algorithm hypersphere integration
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Innovating Talent Cultivation Through Industry-Education Integration and AI:A Case Study of the“Program Comprehension and Analysis”Course 认领 引用
20
作者 Tiantian Wang Xiaohong Su +1 位作者 Yuan Jiang Liyan Song 《计算机教育》 2026年第3期74-80,共7页
This paper investigates the teaching reform of the Program Comprehension and Analysis course in the context of industry-education integration and AI empowerment.To align with the evolving needs of the software industr... This paper investigates the teaching reform of the Program Comprehension and Analysis course in the context of industry-education integration and AI empowerment.To align with the evolving needs of the software industry,the course content has been updated to incorporate AI techniques such as large language models and deep learning.The reform enriches educational resources and introduces innovative instructional approaches.In addition,high-quality practical teaching cases have been developed,and immersive,hands-on learning experiences have been designed based on industrial platforms and real-world applications.These initiatives aim to enhance the practical skills and innovative thinking of professional degree graduate students,fostering high-caliber talent that aligns with industry demands.A survey of 90 graduate students revealed high levels of satisfaction regarding course content,teaching methodology,and skill development.The reform has proven effective in cultivating interdisciplinary professionals with solid foundations in software engineering and AI-driven innovation. 展开更多
关键词 Industry-education integration AI empowerment Project-driven Case studies
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