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Ecological Three-Dimensional Cultivation and Digital Development Model of Xinjiashan Specialty Coffee Base 认领 引用
1
作者 Jiangnan WANG Yulian MA +3 位作者 Tingting YANG Caide DUAN Jin'e LI Guangxue YANG 《Plant Diseases and Pests》 2026年第1期22-25,29,共4页
Under the strategic framework of rural revitalization and agricultural modernization, Xinjiashan Specialty Coffee Base, located in Zaotang Village, Lujiang Town, Longyang District, Baoshan City, has been proactively i... Under the strategic framework of rural revitalization and agricultural modernization, Xinjiashan Specialty Coffee Base, located in Zaotang Village, Lujiang Town, Longyang District, Baoshan City, has been proactively investigating innovative models for agricultural development. Through extensive communication and collaboration, this base has established close partnerships with research institutions including Kunming University of Science and Technology, Baoshan University, and Yunnan Academy of Agricultural Sciences, with a commitment to thoroughly exploring the potential for resource recycling and ecological complementarity. An innovative four-in-one three-dimensional integrated planting system incorporating "coffee, bananas, green manure, and bees" has been implemented. Concurrently, technological and digital management strategies have been comprehensively integrated to improve planting efficiency. Under this model, the proportion of specialty coffee attains 71%, and the per-unit yield is 17% greater than that of the conventional planting model. This approach not only substantially enhances economic returns but also promotes the integrated development of ecological and social benefits, offering a valuable practical example and experiential reference for the specialty and sustainable advancement of the coffee industry in comparable regions. 展开更多
关键词 Coffee Three-dimensional planting Digitalization Ecological cycle Xinjiashan
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Digital reconstruction of three-dimensional contours and its application to microstructural evaluation of postblast rock fissure surfaces 认领 引用
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作者 Yanbing Wang Zhaoyang Wang +1 位作者 Dairui Fu Mingwei Gang 《Deep Underground Science and Engineering》 EI CAS CSCD 2025年第2期316-328,共13页
Fracture surface contour study is one of the important requirements for characterization and evaluation of the microstructure of rocks.Based on the improved cube covering method and the 3D contour digital reconstructi... Fracture surface contour study is one of the important requirements for characterization and evaluation of the microstructure of rocks.Based on the improved cube covering method and the 3D contour digital reconstruction model,this study proposes a quantitative microstructure characterization method combining the roughness evaluation index and the 3D fractal dimension to study the change rule of the fracture surface morphology after blasting.This method was applied and validated in the study of the fracture microstructure of the rock after blasting.The results show that the fracture morphology characteristics of the 3D contour digital reconstruction model have good correlation with the changes of the blasting action.The undulation rate of the three-dimensional surface profile of the rock is more prone to dramatic rise and dramatic fall morphology.In terms of tilting trend,the tilting direction also shows gradual disorder,with the tilting angle increasing correspondingly.All the roughness evaluation indexes of the rock fissure surface after blasting show a linear and gradually increasing trend as the distance to the bursting center increases;the difference between the two-dimensional roughness evaluation indexes and the three-dimensional ones of the same micro-area rock samples also becomes increasingly larger,among which the three-dimensional fissure roughness coefficient JRC and the surface roughness ratio Rs display better correlation.Compared with the linear fitting formula of the power function relationship,the three-dimensional fractal dimension of the postblast fissure surface is fitted with the values of JRC and Rs,which renders higher correlation coefficients,and the degree of linear fitting of JRC to the three-dimensional fractal dimension is higher.The fractal characteristics of the blast-affected region form a unity with the three-dimensional roughness evaluation of the fissure surface. 展开更多
关键词 cube covering method evaluation of damage characterization fractal dimension roughness three-dimensional contour scanning
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AI-and Biotechnology-Driven Digital Design of Biohydrogen-Producing Microbiota 认领 引用 被引量：1
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作者 Qian Liu Shuang Gao +5 位作者 Yanan Hou Jianfeng Liu Qianqian Yuan Ai-Jie Wang Nanqi Ren Cong Huang 《Engineering》 SCIE EI CSCD 2026年第7期296-302,共7页
Biohydrogen, produced via microbial fermentation of biomass waste, is poised to play a pivotal role in China's green energy transition. Nonetheless, significant obstacles such as high costs, unstable production dy... Biohydrogen, produced via microbial fermentation of biomass waste, is poised to play a pivotal role in China's green energy transition. Nonetheless, significant obstacles such as high costs, unstable production dynamics, regulatory and metabolic inefficiencies, and limited actual hydrogen yields hinder large-scale application. Addressing these challenges necessitates the integration of machine learning and synthetic biology, forming a robust pathway to enhanced process efficacy and output consistency. The convergence of artificial intelligence (AI) and biotechnology (BT) is revolutionizing biohydrogen production by shifting from traditional empirical methodologies to predictive, engineering-based frameworks. AI equips researchers to interpret and optimize complex metabolic and genetic networks through machine learning and genome-scale modeling. Concurrently, BT is evolving to manipulate microbial communities holistically via synthetic ecology and dynamic modeling. Here, we propose a “digital microbial community” paradigm, intergating multi-scale metabolic modeling and emergent property prediction, AI-powered ecological niche decomposition and closed-loop BT enhanced evolutionary framework for continuous optimization of digital twins through experimental feedback. This fusion facilitates the rational design and real-time optimization of programmable microbial ecosystems, greatly enhancing biohydrogen producing control and efficiency. The transition to digital and data-driven design, utilizing multi-omics and ecosystem-level analytics, further bolsters precision and scalability. While moving from single cells to complex microbial consortia introduces challenges, such as non-linear dynamics and ecosystem stability, the synergy of AI and BT underpins the intelligent, resilient, and sustainable production of biohydrogen, thereby reinforcing its potential as a foundational component of China's renewable energy landscape. 展开更多
关键词 Artificial intelligence Biotechnology Biohydrogen Rational design Digital cell Digital microbiota Digital system
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The impact of digital technology use on relocated households'income stability in China 认领 引用 被引量：1
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作者 Mingyue Liu Wenying Zhang +1 位作者 Huanguang Qiu Xiaolong Feng 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第6期2242-2254,共13页
Ensuring the income stability of relocated households is essential for advancing rural revitalization and achieving common prosperity.While existing research has explored the impact of digital technology on income,few... Ensuring the income stability of relocated households is essential for advancing rural revitalization and achieving common prosperity.While existing research has explored the impact of digital technology on income,few studies have addressed how digital technology use affects income stability.To fill this gap,based on survey data from relocated households in 16 counties across 8 provincial-level regions in China,this study examines the impact of digital technology use on the income stability of relocated households using Ordinary Least Squares(OLS)and Propensity Score Matching(PSM).The results show that digital technology use improves both income and income stability,with stronger effects at higher levels of use.This impact is driven by better access to information acquisition and enhanced human capital.Additionally,digital technology helps stabilize the income of households facing downward volatility.The income stabilizing effect is particularly significant among relocated households in central regions,rural resettlement areas,and those with higher education levels.Furthermore,digital literacy amplifies the positive impact of digital technology on income stability.These findings offer valuable insights for policymakers aiming to promote digital technology use to ensure the income stability of relocated households and foster common prosperity. 展开更多
关键词 digital technology use income stability relocated households digital literacy
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Three-dimensional cooperative guidance law with practical predefined-time approach angle and time-to-go convergence 认领 引用 被引量：1
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作者 Zihao WU Wei FENG +3 位作者 Xiaofeng ZHANG Wenxing FU Zhang REN Tuo HAN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期530-546,共17页
This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constr... This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constraints.To achieve a salvo attack against a maneuvering target from various directions,the guidance problem is tackled by addressing two critical factors:ensuring that the time-of-arrival is consistent and that the desired approach angles can be met.Considering the short duration of the homing guidance process,the convergence with predefined time for guidance states(especially the approach angle and time-to-go)is factored in.First,for the simultaneous arrival,a PPT guidance law is developed,which can meet the same time-to-go convergence rate in the Line-of-Sight(LOS)direction.Then,in the normal LOS direction,a 3D PPT guidance law is presented considering the approach angle constraint so that the desired approach angles can be reached within a user-designed time.The time-based generator technique is employed in the proposed PPT Cooperative Guidance Law(PPTCGL)to avoid the time-varying gain singularity issue.Notably,this technique can allow the convergence time to be preset in advance,independent of initial system conditions and tuning parameters.Additionally,to avoid excessive gain and improve the robustness of guidance law,a PPT disturbance observer is designed against uncertainties and target maneuvers so that the guidance system perturbation can be compensated in real time.It is userfriendly that the convergence of disturbance estimation can be met with a flexible pre-setting time before achieving the terminal guidance constraints.Finally,extensive numerical simulations are conducted to verify the effectiveness and robustness of the proposed PPTCGL in both the nominal cases and the Monte Carlo test. 展开更多
关键词 Approach angle constraint Cooperative guidance law Maneuvering target Practical predefined-time consensus Three-dimensional guidance model
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Does digital literacy promote climate disaster-adaptive production behaviors among grain-producing smallholders in China? 认领 引用 被引量：1
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作者 Qingyun Bai Jiajia Li +3 位作者 Jian Zhang Dungang Zang Kuan Zhang Qianling Shen 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第6期2214-2228,共15页
Climate disasters lead to substantial economic losses and grain yield losses,emphasizing the need for adaptation to ensure food security.As digital technologies advance,it is imperative to investigate how digital lite... Climate disasters lead to substantial economic losses and grain yield losses,emphasizing the need for adaptation to ensure food security.As digital technologies advance,it is imperative to investigate how digital literacy among grain farmers affects their adaptive production behaviors in the face of climate disasters.Drawing on survey data from 505 grain-producing smallholders in Sichuan Province,China,this study constructs a theoretical framework linking digital literacy,climate disaster risk perception,and adaptive production behaviors.Empirical analysis shows that digital literacy positively impacts the adaptive production behaviors of grain-producing smallholders.Our results are robust across various models and tests.An analysis of the mediation mechanism reveals that digital literacy contributes to climate disaster-adaptive production behaviors by improving the awareness of climate disaster risks.Heterogeneity analysis shows that the positive impact of digital literacy is more pronounced for smallholders that receive internet skills training and climate information services,and this impact intensifies as the level of agricultural infrastructure improves.The findings suggest that digital literacy plays a key role in reducing production risks,thereby contributing to increased sustainable agricultural development among smallholders. 展开更多
关键词 digital literacy climate disaster-adaptive production behaviors grain-producing smallholders China
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Digital twin driven ram BOP shear capability analysis 认领 引用 被引量：1
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作者 Feng-Li Zhang Jie Liu +1 位作者 Jin-Tao Ni Jin-Jiang Wang 《Petroleum Science》 SCIE EI CAS CSCD 2026年第6期3667-3681,共15页
As a critical component of the oil drilling control system,blowout preventers(BOPs)shear failure accidents can occur in case of blowout incidents.Existing methods based on simulation and empirical formula do not perfo... As a critical component of the oil drilling control system,blowout preventers(BOPs)shear failure accidents can occur in case of blowout incidents.Existing methods based on simulation and empirical formula do not perform well in systematically evaluating the shear capacity of ram BOPs,and relevant research and testing are conducted under static ideal conditions,leading to a lack of effective guidance in field operations.Aiming at the above problems,this paper proposes a shear capability evaluation method of ram BOPs based on digital twin.The shear mechanism of ram BOPs is analyzed and the digital twin model of a ram BOP driven by real-time drilling data is constructed through joint simulation and model reduction.Finally,the shear capacity of ram BOP is evaluated multi-dimensionally in real-time by using the built digital twin model.The model can also simulate shearing process offline under different preset conditions.The results provide a theoretical basis for field operation and performance evaluations of the shear capability of ram BOPs. 展开更多
关键词 Ram blowout preventer Joint simulation Digital twin Performance evaluation
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Nonlinear environmental impacts of digital transformation in China’s mega-urban agglomerations 认领 引用 被引量：1
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作者 Zehui Chen Chuanglin Fang +1 位作者 Zhitao Liu Lingyu Meng 《Geography and Sustainability》 CSCD 2026年第2期59-73,共15页
Amidst rapid digitalization and pressing environmental challenges,understanding the environmental implications of digital transformation is crucial for sustainable urban development.Yet,the complex,potentially nonline... Amidst rapid digitalization and pressing environmental challenges,understanding the environmental implications of digital transformation is crucial for sustainable urban development.Yet,the complex,potentially nonlinear digitalization-environment relationships remain underexplored.This study has two objectives:first,to quantify the nonlinear causal impacts of digital transformation on pollution mitigation and carbon reduction;and second,to unravel the mediating pathways that drive these outcomes.We employ Double Machine Learning(DML)on panel data from 2013 to 2022 across China’s four mega-urban agglomerations to identify the nonlinear environ mental impacts of digital transformation.Mediation analysis is then used to examine the technology,structure,governance,and scale pathways.Despite overall progress in both digital transformation and environmental per formance,significant regional variations persist.Our DML analysis reveals distinct nonlinearities:an S-shaped relationship between digital transformation and pollution mitigation,and a more complex N-shaped curve for the digital transformation-carbon reduction nexus.Mediation analysis further reveals complex mechanism:while the structure path consistently promotes environmental benefits,technology and scale factors show negative effects,and governance impacts diverge,promoting pollution mitigation but hindering carbon reduction.Trans lating digital transformation into environmental benefits necessitates a multi-pronged strategy.Key imperatives include prioritizing green technological innovation over sheer digital expansion to mitigate adverse scale effects,and restructuring energy systems towards renewable sources.Furthermore,digital governance must be wielded judiciously,with accountability to enhance specific environmental goals.This research reveals the intricate and context-dependent nature of digital transformation’s environmental effects,providing data-driven insights for regional policies aiming to leveraging digitalization for environmental sustainability,particularly in urban con texts. 展开更多
关键词 Digital transformation Environmental sustainability Pollution mitigation Carbon reduction Double machine learning
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Digital twin-assisted automatic ship size measurement for ship–bridge collision early warning systems 认领 引用 被引量：1
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作者 Ruixuan LIAO Yiming ZHANG +3 位作者 Hao WANG Jianxiao MAO Aoyang LI Zhengyi CHEN 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2026年第1期1-11,共11页
Long-span bridges are usually constructed over waterways that involve substantial ship traffic,resulting in a risk of collisions between the bridge girders and over-height ships.The consequences of this can be severe ... Long-span bridges are usually constructed over waterways that involve substantial ship traffic,resulting in a risk of collisions between the bridge girders and over-height ships.The consequences of this can be severe structural damage or even collapse.Accurate measurement of ship dimensions is an effective way to monitor approaching over-height ships and avoid collisions.However,the performance of current techniques for estimating the size of moving objects can be undermined by large sensor-to-object distance,limiting their applicability.In this study,we propose a digital twin-assisted ship size measurement framework that can overcome such limitations through a predictive model and virtual-to-real-world transfer learning.Specifically,a 3D synthetic environment is first established to generate a synthetic dataset,which includes ship images,positions,and dimensions.Then the pixel information and spatial coordinates of ships are adopted as regressors,and ship dimensions are selected as the output variables to pre-train deep learning models using the generated dataset.Coordinate system transformations are applied to address dataset bias between the simulated world and real-world,as well as improve the model’s generalization.The pre-trained models are compared using supervised virtual-to-real-world transfer learning to select the version with optimal real-world performance.The mean absolute percentage error is only 3.74%across varying camera-to-ship distances,which demonstrates that the proposed method is effective for over-limit ship monitoring. 展开更多
关键词 Ship-bridge collision early warning Over-height ship monitoring Ship size measurement Digital twins Computer vision Transfer learning
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Material Compression Tests on Rigid Insulation Tiles at Elevated Temperatures with Digital Image Correlation 认领 引用 被引量：1
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作者 Datao Li Xiahui Wei +3 位作者 Yingrong Gao Jinsong Jiang Binhua Wang Wei Xia 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2026年第6期782-790,共9页
The mechanical properties of rigid insulation tile(RIT)materials at elevated temperatures(700~1000℃)were studied through compression tests and the digital image correlation(DIC)method.To reduce measurement error in a... The mechanical properties of rigid insulation tile(RIT)materials at elevated temperatures(700~1000℃)were studied through compression tests and the digital image correlation(DIC)method.To reduce measurement error in a thermal environment,an image gradient zero-mean normalized cross-correlation algorithm(ZNCCGI)was added to the DIC algorithm.The DIC algorithm was verified via RIT material mechanical tests at room temperature.Furthermore,the compressive stress–strain curves and Young's modulus of RIT materials at elevated temperatures were obtained.The experimental results show that the Young's modulus of RIT materials significantly increased at 800℃.Moreover,the compressive yield strength was significantly improved at 800℃,which resulted in a random distribution of ceramic fibers and viscous flow deformation at elevated temperatures.Scanning electron microscope analysis demonstrated that the compressive damage occurs due to the breaking of ceramic fibers. 展开更多
关键词 Rigid insulation tile(RIT) Digital image correlation(DIC) Elevated temperature Compressive yield strength Young's modulus
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Hybrid AI-IoT Framework with Digital Twin Integration for Predictive Urban Infrastructure Management in Smart Cities 认领 引用 被引量：1
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作者 Abdullah Alourani Mehtab Alam +2 位作者 Ashraf Ali Ihtiram Raza Khan Chandra Kanta Samal 《Computers, Materials & Continua》 SCIE EI 2026年第1期462-493,共32页
The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often... The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities. 展开更多
关键词 Smart cities digital twin AI-IOT framework predictive infrastructure management edge computing reinforcement learning optimization methods federated learning urban systems modeling smart governance
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High-fidelity full-color self-interference incoherent digital holography via quarter-wave geometric phase optics 认领 引用
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作者 Jae-Won Lee Jin-Hyeok Seo +4 位作者 Jung-Yeop Shin Jing-Wen Bu Kihong Choi Keehoon Hong Hak-Rin Kim 《Opto-Electronic Advances》 SCIE EI CAS CSCD 2026年第1期49-64,共16页
We present a compact self-interference incoherent digital holography(SIDH)system that incorporates a quarter-waveplate(QWP)-based geometric phase(GP)lens to achieve high-fidelity,full-color holographic imaging under b... We present a compact self-interference incoherent digital holography(SIDH)system that incorporates a quarter-waveplate(QWP)-based geometric phase(GP)lens to achieve high-fidelity,full-color holographic imaging under broadband incoherent illumination.Traditional SIDH systems that utilize half-waveplate(HWP)-based GP lenses are hindered by unavoidable triple-wavefront polarization interference,stemming from chromatic dispersion in phase retardation.This interference introduces color-dependent artifacts in the reconstructed images.In contrast,our QWP-based design inherently suppresses such interference by using the non-diffracted beam as the reference,enabling stable dual-wavefront modulation.This approach produces phase-encoded polarization interference patterns that remain spectrally consistent across the red,green,and blue(RGB)channels.Experimental results demonstrate substantial noise suppression and significantly improved full-color image fidelity,supported by channelspecific noise analysis and structural similarity metrics.The system also preserves a simplified optical configuration without active polarization control,allowing for compact integration and cost-effective fabrication.These advantages position the proposed QWP-GP SIDH architecture as a promising solution for portable,real-time digital holographic 3D imaging,with scalable potential in applications such as augmented reality,optical diagnostics,and spectral holography. 展开更多
关键词 self-interference incoherent digital holography digital holography geometric phase lens polarization interference holographic imaging
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Digitalization of smallholder agriculture:Adoption and impacts 认领 引用
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作者 Zhanli Sun Hang Xiong +1 位作者 Hongmei Yi Lena Kuhn 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第6期2183-2187,共5页
Digital technologies are considered to hold transformative potential for agriculture by enhancing productivity,reducing environmental impacts,improving market access,and strengthening farmer livelihoods(Trendov et al.... Digital technologies are considered to hold transformative potential for agriculture by enhancing productivity,reducing environmental impacts,improving market access,and strengthening farmer livelihoods(Trendov et al.2019;Klerkx et al.2019;Prause et al.2021;Huang et al.2023).Mobile phones can provide real-time weather information and market prices,reducing information asymmetries that have long disadvantaged small-scale producers(Aker and Fafchamps 2014). 展开更多
关键词 adoption impacts smallholder agriculture enhancing productivityreducing environmental impactsimproving productivity digitalization digital technologies strengthening farmer livelihoods trendov
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Research on dynamic three-dimensional terrain correction methods of quantitative inversion for airborne gamma-ray spectrometer 认领 引用
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作者 He-Xi Wu Wei-Cheng Li +6 位作者 Rui Qiu Chao Xiong Yi-Ming Lyu Yi-Qiang Xing De-Hao Zhang Zong-Shuo Tao Yang Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第5期199-214,共16页
Aerial surveys are dynamic and continuous processes,and there are different height distributions of the ground in the measurement area,which leads to problems such as overlapping measurement areas and inaccurate altit... Aerial surveys are dynamic and continuous processes,and there are different height distributions of the ground in the measurement area,which leads to problems such as overlapping measurement areas and inaccurate altitude correction during the survey process.Commonly used terrain correction methods are based on the concept of finite elementization of ground surface radioactive sources,using GPS coordinates,radar altitude,and ground elevation distribution information from aerial surveys,combined with the sourceless efficiency calibration method to construct a response matrix,which is then inverted for surface nuclide content.However,most of the sourceless efficiency calibration methods used are numerical calculations that consider the body detector as a point detector and do not consider the changes in intrinsic detection efficiency under different incident directions of gamma rays.Therefore,when the altitude of the measurement area varies significantly or the flight altitude of the aerial survey is relatively low,such sourceless efficiency calibration method calculations tend to have a large bias,which affects the accuracy of the terrain correction.To address the above problems,this study employs a novel sourceless efficiency calibration method based on the Boolean operation of the ray deposition process and simplifies the traditional body source measurement model to a surface source measurement model to achieve fast and accurate efficiency calibration.Then,through the discretization of the measurement process,the static measurement process is superposed as equivalent to the dynamic measurement process,and the dynamic measurement response matrix is built and optimized based on the calibration method.Finally,the PSO-MLEM algorithm was used to solve the dynamic measurement response matrix to achieve dynamic terrain correction of aerial survey data.Analysis of the Baiyun'ebo test area revealed that,after applying dynamic terrain correction,the inverted anomalies in uranium(eU),thorium(eTh),and potassium(K)concentrations were closer to ground measurements(within 5.72%-30.79%)and exhibited clearer anomaly boundaries compared to traditional height-based corrections.However,owing to the inherent statistical fluctuations and characteristics of matrix inversion,higher measurement values tend to absorb lower ones,potentially enlarging the anomalous regions.Nevertheless,the highanomaly regions after inversion largely coincided with the ground truth validation,demonstrating that the proposed method can effectively correct airborne gamma spectrometry data. 展开更多
关键词 Airborne gamma-ray spectrum Dynamic three-dimensional Terrain correction
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Characteristics of three-dimensional oceanic eddy in the Southern Ocean from 2021 to 2023 认领 引用
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作者 Tao Jiang Weizeng Shao +3 位作者 Yuyi Hu Xingwei Jiang Qingping Zou Yongliang Wei 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2026年第4期1-16,共16页
This study explores the three-dimensional(3-D)characteristics of oceanic eddies in the Southern Ocean from 2021 to 2023.Copernicus Marine Environment Monitoring Service(CMEMS)GLORYS12V1 product,which provides daily cu... This study explores the three-dimensional(3-D)characteristics of oceanic eddies in the Southern Ocean from 2021 to 2023.Copernicus Marine Environment Monitoring Service(CMEMS)GLORYS12V1 product,which provides daily current field data at a(1/12)°grid resolution,is used to identify eddies with radii>10 km.Additionally,the daily sea level anomaly product from Haiyang-2(HY-2)altimeters is used to detect mesoscale eddies with radii>40 km.GLORYS12V1 detects over ten times more surface eddies than HY-2,likely due to its higher spatial and temporal resolution,which allows better identification of smaller-scale features.Both eddy radius and eddy kinetic energy(EKE)differences between layers decrease with depth.At 0.5 m,EKE is lower than at 300–600 m,where it stabilizes.Over 90%of eddies at these depths show center deflection angles under 3°,defined as the angular offset between eddy centers in adjacent layers relative to the vertical(0°)axis.In a 3-D eddy,the center may shift with depth due to physical processes,causing non-zero center deflection angles between layers.Below 300 m,eddy radius differences are more frequently under 20 km than in the upper 0.5–300 m,where baroclinic instability amplifies,and barotropic instability suppresses cross-layer variability.The influence of both instabilities weakens with depth.In the upper ocean(0.5–300 m),baroclinic instability increases the angular offsets between eddy centers.In contrast,barotropic instability reduces these offsets.At 300–600 m,both promote better vertical alignment,indicating greater structural stability.Overall,this study enhances the understanding of the vertical structure and dynamics of oceanic eddies in the Southern Ocean. 展开更多
关键词 three-dimensional characteristics oceanic eddy Southern Ocean
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Effect of digital ecosystem embeddedness on farmers’entrepreneurial performance:evidence from China 认领 引用
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作者 Yuhua Cao Yunge Fan +1 位作者 Yumei Wang Xinyu Liao 《Data Science and Management》 EI CSCD 2026年第1期45-55,共11页
Digital ecosystem embeddedness subverts the promotion mechanism of farmers’entrepreneurial performance;however,related research is scarce.This study constructed a theoretical mechanism model and applied a structural ... Digital ecosystem embeddedness subverts the promotion mechanism of farmers’entrepreneurial performance;however,related research is scarce.This study constructed a theoretical mechanism model and applied a structural equation model,regression analysis,and bootstrapping to explore the impact of digital ecosystem embeddedness on farmers’entrepreneurial performance,based on survey data from 592 farmer start-ups in South China and East China.The research finds that digital ecosystem embeddedness has a significant impact on social networks and farmers’entrepreneurial performance,with social networks acting as a mediator between digital ecosystem embeddedness and farmers’entrepreneurial performance.Social networks positively affect entrepreneurial learning and resource management,and entrepreneurial learning and resource management positively affect farmers’entrepreneurial performance.Both entrepreneurial learning and entrepreneurial resource management exert a mediating effect between social network and farmers’entrepreneurial performance,respectively.Digitalization capability exerts a moderating effect between digital ecosystem embeddedness and social networks.The results show that the promotion mechanism of digital ecosystem embeddedness on farmers’entrepreneurial performance constructs a new cognitive and resource space for entrepreneurs by rebuilding social networks to provide a combination of continuous learning support and efficient resource aggregation.This study enriches our understanding of the effect of digital ecosystem embeddedness on farmers’entrepreneurial performance by depicting an integrated mechanism for entrepreneurial performance promotion in a digital context.It also provides practical guidance for farming start-ups to develop sustainable entrepreneurial advantages in a digital context. 展开更多
关键词 Digital ecosystem embeddedness Farmers’entrepreneurial performance Social network Entrepreneurial learning Entrepreneurial resource management Digitalization capability
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Three-dimensional full-scale neutronics/thermal-hydraulics/mechanics coupling analysis-based structural assessment of helium-cooled ceramic breeder blanket for fusion reactor 认领 引用
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作者 Qiang Lian Kui Zhang +6 位作者 Shan-Shan Bu Liang-Ming Pan Wen-Xi Tian Sui-Zheng Qiu Guang-Hui Su Xing-Hua Wu Xiao-Yu Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第6期178-195,共18页
To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstrati... To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstration fusion reactors.The primary objective of the CFETR is to achieve fusion energy transformation and tritium self-sufficiency,which is realized through the function of the blanket.In this study,a neutronicshermal-hydraulics/mechanics coupling method is developed and applied to a helium-cooled ceramic breeder(HCCB)blanket,which is one of the two blanket candidates for the CFETR.A three-dimensional full-scale model is utilized in the coupling analysis to obtain the distributions of the neutronic,thermal-hydraulic,and mechanical parameters.A structural assessment of the CFETR HCCB blanket is then conducted considering steady-state conditions and two transient scenarios.The results demonstrate that following optimization of the blanket structure,the maximum temperatures of the different components remain below the safety limit of the corresponding materials.The structural assessment indicates that the blanket maintains its structural integrity under steady-state conditions.However,immediately after an in-box loss-of-coolant accident,structural failure owing to stress concentration may occur.Additionally,in the early stage of a loss-of-flow accident,the stress at the joint point between the cooling plate and cap exceeds the allowable stress of the material,potentially leading to structural failure within 17 s if no protective response is implemented.These findings provide comprehensive insights into the performance and safety of the CFETR HCCB blanket design. 展开更多
关键词 Structural assessment Fusion blanket Three-dimensional full-scale model Coupling analysis CFETR
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Digital microfluidics actuated multiplexed heterogeneous immunoassay with enhanced automation and efficiency 认领 引用
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作者 Mengyuan Zhao Xianming Liu +10 位作者 Haiyue Ye Dachuan Ma Yue Hou Hongyu Dong Yangyang Long Ningning Liu Xiaoxu Wang Xiaodan Yu Yahong Chen Xinmiao Liang Yao Lu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第4期688-693,共6页
Digital microfluidics(DMF)shows great promise in addressing the need for miniaturization and automation in immunoassay detection.Despite recent advances,an automatically operated,multiplexed heterogeneous immunoassay ... Digital microfluidics(DMF)shows great promise in addressing the need for miniaturization and automation in immunoassay detection.Despite recent advances,an automatically operated,multiplexed heterogeneous immunoassay platform powered by DMF remains underdeveloped.Here we present a DMF platform for automated and multiplexed heterogeneous immunoassay detection by coupling spatial barcoding with automatic and uniform droplet dispensing.FluoroPel was selected as a robust hydrophobic reagent for coating the DMF top plate,and it also served as the substrate for the immuno-reaction.Its mechanical robustness was further enhanced with a Cytop CTL-809A adhesive layer under the top hydrophobic layer.Hourglass-shaped electrode patterns ensured consistent and uniform distribution of immunoassay reagents,with volume variation down to 1.0%.The analysis duration was significantly reduced from 75 min to 20 min after a heating module was integrated to elevate the immuno-reaction temperature to 37℃.Utilizing a compact instrument featuring a multi-droplet manipulation protocol,we successfully implemented fully operated,multi-sample,multiplexed immunoassays using recombinant proteins on cell culture supernatants on the DMF platform.This innovative platform significantly enhances the efficiency,reliability,and degree of automation of DMF-actuated multiplexed heterogeneous immunoassays,potentially providing a viable solution for field deployment and multi-sample parallel diagnosis. 展开更多
关键词 Digital microfluidics Mulitpled immunoassay Automation Multiplexed FluoroPel
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Data-and knowledge-driven three-dimensional geological reconstruction method for tunnel engineering 认领 引用
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作者 Qiming Li Qian Fang +2 位作者 Jun Wang Gan Wang Peipei Shang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2026年第6期4318-4336,共19页
The creation of a three-dimensional(3D)geological model plays a crucial guiding role in engineering.However,in practice,due to the sparsity of boreholes and the invisibility of strata,accurately reconstructing a 3D ge... The creation of a three-dimensional(3D)geological model plays a crucial guiding role in engineering.However,in practice,due to the sparsity of boreholes and the invisibility of strata,accurately reconstructing a 3D geological model has always been a challenging task.In this study,a data-and knowledge-driven 3D geological reconstruction method is proposed,where the Inverse Distance Weighting(IDW)method is integrated with computer vision techniques to improve the accuracy and reliability of geological modeling.The reconstruction of the geological model is realized by the reconstruction of continuous cross-sections in one direction.The reconstruction method integrates two deep learning models:a repair model that learns stratigraphic relationships from borehole data to reconstruct cross-sections,and an interpolation model that predicts intermediate sections by capturing stratigraphic distribution and variation patterns.The comparison with the IDW method and the ordinary kriging method on the virtual data verifies that the proposed method can capture the spatial distribution characteristics of the strata.An engineering example proves that the proposed method can be successfully applied to complex stratum modeling.The proposed method enhances and facilitates intuitive observation of both the reconstructed results and their uncertainties.The proposed method can provide guidance for underground engineering construction sites and contribute to their digital transformation. 展开更多
关键词 Three-dimensional geological modeling Machine learning Borehole data Stratigraphic uncertainty Voxel model
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The three-dimensional meshfree numerical manifold method based on parallel computing 认领 引用
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作者 Keqin Zhang Wei Wu +2 位作者 Danfeng Zhang Yanfei Kang Hehua Zhu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期360-371,共12页
The numerical manifold method,extensively utilized in numerical computations,faces significant challenges in generating complex manifold elements,particularly for three-dimensional applications.To overcome this challe... The numerical manifold method,extensively utilized in numerical computations,faces significant challenges in generating complex manifold elements,particularly for three-dimensional applications.To overcome this challenge,the meshfree numerical manifold method is developed by integrating the moving least-squares method into the numerical manifold method,effectively bypassing the need for meshing complex geometric objects.However,the implementation of the moving least-squares method introduces computational efficiency issues.To mitigate these,parallel computing methods have been incorporated,resulting in a tenfold increase in the speed of assembling the stiffness matrix with central processing unit parallelism,and a twentyfold increase with graphics processing unit parallelism.The static mechanical system equations for the meshfree numerical manifold method are derived using the Galerkin method.The method’s effectiveness and accuracy are then validated through a series of numerical experiments.The experiments demonstrated that the meshfree numerical manifold method achieves a high precision with minimal nodes and integration points.Additionally,positioning nodes outside the domain significantly improves computational accuracy at the boundaries. 展开更多
关键词 Meshfree numerical manifold method Three-dimensional computation Parallel computation Elastostatics Moving least-squares
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