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ApriDS: An evidence linkage network construction model for judgment documents

Journal of King Saud University - Computer and Information Sciences 2025年第1期37卷 1-13页

作者： Zhou, Yulin Qin, Yongbin Lin, Chuan Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry Guizhou University Guiyang 550025 China State Key Laboratory of Public Big Data Guizhou University Guiyang 550025 China College of Computer Science & Technology Guizhou University Guiyang 550025 China

Evidence serves as the basis for determining facts in the judicial trial process, and exploring the correlation between evidence has become an essential task. However, there is uncertainty and unreliability of evidence. In this paper, we propose an ApriDS model that can mine correlations between evidence and construct evidence linkage networks. Specifically, we use the association rule algorithm to mining for the correlations between evidence in order to initially construct an evidence linkage network. Moreover, we also combine the imprecise reasoning theory to alleviate unreliability among evidence. Finally, combining the above effectively mitigates uncertainty and unreliability in the evidence linkage network. We conduct extensive experiments and present analyses on five case datasets, including marriages, thefts, homicides, contract disputes and unlawful detention. Compared to the baseline model, our method’s accuracy improves by 12.75%, 14.16%, 14.80%, 21.64% and 26.15% on the five datasets, respectively. © The Author(s) 2025.

关键词： Apriori algorithm D-S evidence theory Evidence linkage network Judgment document

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Robust Watermarking Based on Multi-layer Watermark Feature Fusion

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IEEE Transactions on Multimedia 2025年

作者： Wu, Shaowu Lu, Wei Luo, Xiangyang Sun Yat-Sen University School of Computer Science and Engineering Ministry of Education Key Laboratory of Information Technology Guangdong Province Key Laboratory of Information Security Technology Guangzhou510006 China State Key Laboratory of Mathematical Engineering and Advanced Computing Henan450002 China

The purpose of robust image watermarking is to embed a watermark into a carrier image in an invisible form and extract the watermark successfully even under noise interference conditions to achieve copyright confirmation and traceability. Although watermarking methods based on deep learning can improve the robustness by adding a noise simulation layer, few theoretical analyses of the codec structure have been conducted. Theoretical explainability is the theoretical basis for developing a network architecture, which plays a guiding role in network development. On the basis of the interpretability of convolutional networks, this paper analyzes the mathematical process of embedding and extracting watermarks in codecs and proposes a novel watermarking framework based on multi-layer watermark feature fusion. Specifically, the encoder can be a convolutional network structure of arbitrary depth, whereas the decoder needs only to adopt its corresponding deconvolution structure. To improve the quality and robustness of the generated watermarked image, the watermark is associated with an arbitrary layer feature space in the decoder. In the decoder, the network quickly converges to each original encoding feature space through the deconvolution structure, thus decoupling the watermark features. Finally, the watermark is extracted via the automatic fusion of multi-layer watermark features. The experimental results show that the proposed method is suitable for few-shot learning, and its invisibility, robustness and generalization performance on multiple datasets are significantly better than those of other advanced methods. © 2025 IEEE.

关键词： Decoding

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Propagation of the effect of upstream bend circulations to downstream flow and sediment transport in consecutive river bends

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Journal of Hydrology 2025年 660卷

作者： He, Xin Yu, Minghui Wang, Kaixuan Liu, Yujiao State Key Laboratory of Water Resources Engineering and Management Wuhan University Wuhan China Changjiang River Scientific Research Institute Wuhan China

Despite their critical role in shaping meandering rivers, the hydraulics, sediment transport, and the interplay of consecutive bends remain inadequately understood, hindering our full comprehension of fluvial processes and river evolution. A numerical approach, employing the RNG k-Ε model, is used to investigate the flow and sediment transport in a downstream bend (135°) affected by residual circulations (RC) from an upstream reverse bend (90°). Results reveal the mechanism of RC altering the flow and sediment transport in the downstream bend. Compared with a single bend, RC results in a shift of the high streamwise velocity zone to the inner bank in the downstream bend. The presence of a connected upstream bend substantially increases the maximum values of bed shear stress, sediment transport capacity, and the Darcy–Weisbach friction coefficient in the downstream bend. Besides, the rate of increase shows a positive relationship with the strength of RC, which decreases as the transition length increases. Moreover, the locations of the maximum bed shear stress and the maximum sediment transport capacity at the cross-section are closer to the inner bank (up to 0.25B). Further analysis of the influence of water depth reveals that the above effects of RC on bed shear stress are more pronounced at lower water depths. These effects of RC can promote the occurrence of shore cutting and the formation of outer bank benches in the downstream bend. The findings of this study will contribute to a better understanding of sediment transport and channel evolution in consecutive bends, and provide valuable insights for meandering river management. © 2025

关键词： Shear stress

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A Quantitative Method for Predicting the Fragmentation Range in Rock Blasting Based on the Dynamic Coupling Effect of in Situ Stress and Explosive Load

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International Journal of Geomechanics 2025年第7期25卷

作者： Zhu, Jin Yan, Peng Liu, Xiao Zhang, Xiangyu Lu, Wenbo Chen, Ming Wang, Gaohui Huang, Shuling State Key Laboratory of Water Resources Engineering and Management Wuhan Univ. Wuhan430072 China Key Laboratory of Geotechnical Mechanics and Engineering of Ministry of Water Resources Changjiang River Scientific Research Institute Wuhan430010 China

The rock blasting crush zone and fracture zone develop in the direction of major principal stress under the influence of in situ stress. However, there is still a lack of an accurate calculation method for predicting the dynamic influence of in situ stress on the range of these two zones. This paper examined the failure process of the crush zone and fracture zone under dynamic load through the dynamic stress paths of a rock mass. A novel quantitative method for the size of these two zones based on the dynamic coupling effect of in situ stress and explosive load was proposed. Its effectiveness was verified by single-hole blast cracking experiments. The results showed that the method can quantitatively describe the blast damage zone under coupled loading. The accurate determination of the attenuation coefficient (α) of the blast wave in the rock mass is the key to realizing the quantification. In this paper, the inverse proportional function relationship between α and proportional distance (r/a) can be well used to describe this relationship. As the in situ stress increases, the area of the crush zone and the fracture zone produced by the explosion gradually reduces. As the unit in situ stress increases, the degree of reduction in these two zones also reduces. However, due to the difference between r/a and α, this rule is more obvious in the fracture zone. According to the calculation, the radius limit of the fracture zone is lowered by around 50% and the normal stress increases to approximately one times the dynamic tensile strength when the rock mass with a tensile strength of 10.8 MPa is blasted by an emulsion explosive. As the explosion damage range in the low-in situ stress ( © 2025 American Society of Civil Engineers.

关键词： Cracks

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Phase imaging through a single multimode fiber 11

Phase imaging through a single multimode fiber

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Quantitative Phase Imaging XI 2025

作者： Wen, Zhong Yang, Qing Liu, Xu State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and Engineering International Research Center for Advanced Photonics Zhejiang University Hangzhou310058 China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou311215 China

ISBN: (纸本)9781510684065

Phase imaging techniques are pivotal for achieving high-contrast visualization of unstained biological specimens in vitro which is typically not applicable in narrow spaces. Recently, multimode fiber has shown promise in enabling high-resolution in vivo endoscopy in biological research. Herein, we introduce a novel phase imaging microscopy technique employing a single multimode fiber through frequency domain modulation. Our method demonstrated exceptional capability in high-contrast imaging of diverse samples, including microspheres, semiconductor chips, and oral epithelial cells. Our technique excels in contrast enhancement and defocused background suppression, presenting a promising avenue for minimally invasive, high-contrast, label-free in vivo phase imaging. © 2025 SPIE.

关键词： Multimode fibers

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Polarization-encoded neural networks with simplified grating patch

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Science China(Technological Sciences) 2025年第2期68卷 269-277页

作者： Chengyan ZHONG Xiang WANG Lingfei LI Yuanchi CUI Lei XIAO Dawei SONG Junxiong GUO Wen HUANG Yufeng GUO Yu LIU College of Integrated Circuit Science and Engineering Nanjing University of Posts and TelecommunicationsNanjing 210023China National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology Nanjing 210023China College of Integrated Circuits Hangzhou Global Scientific and Technological Innovation Centre Zhejiang UniversityHangzhou 310027China Nanjing Mumusili Technology Co. LTDNanjing 211100China School of Integrated Circuits Tsinghua UniversityBeijing 100084China Institute of Advanced Study School of Electronic Information and Electrical EngineeringChengdu UniversityChengdu 610106China State Key Laboratory of Electronic Thin Films and Integrated Devices School of Integrated Circuit Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 610054China

Optical neural networks(ONNs)offer a promising solution for high-performance,energy-efficient artificial intelligence hardware by leveraging the parallelism and speed of ***,the large-scale implementation of ONNs remains challenging due to the bulky footprint and complex control of optical *** this work,we propose and simulate a plasmonic polarized synaptic architecture that overcomes the diffraction limit and enables ultra-compact *** tuning the polarization state of incident light,the optical transmittance through each plasmonic unit can be dynamically adjusted to represent a synaptic *** plasmonic structures,with features as small as 40 nm,operate well below this limit in the visible spectrum(400-750 nm).Compared with diffraction and interference-based circuit designs,our proposed method achieves a substantial reduction in synaptic density by factors of 150000-fold and 1500-fold,***,we successfully demonstrate a proof-of-concept plasmonic ONN applied to the Canadian Institute for Advanced Research—10 classes(CIFAR-10)dataset using a Visual Geometry Group network with 16 layers(VGG16)*** training for 80 epochs,the network achieves an accuracy of 93%.The polarization-tunable plasmonics paves the way towards scalable ONNs for next-generation artificial intelligence(AI)accelerators and smart sensors.

关键词： optical neural networks polarization dependent nanophotonic ultra-compact devices diffraction limit

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BAST: Blockchain-Assisted Secure and Traceable Data Sharing Scheme for Vehicular Networks

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IEEE Transactions on Information Forensics and Security 2025年 20卷 4664-4678页

作者： Liu, Xinzhong Cui, Jie Zhang, Jing Yin, Rongwang Zhong, Hong Wei, Lu Bolodurina, Irina He, Debiao School of Computer Science and Technology Anhui University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Hefei230039 China Anhui University Anhui Engineering Laboratory of IoT Security Technologies Hefei230039 China Hefei University Department of Basic Experiment and Training Hefei230601 China Orenburg State University Faculty of Mathematics and Information Technologies Orenburg460018 Russia Wuhan University School of Cyber Science and Engineering 430072 China MatrixElements Technologies Shanghai Key Laboratory of Privacy Preserving Computation Shanghai201204 China

In vehicular networks, caching service content on edge servers (ESs) is a widely accepted strategy for promptly responding to vehicle requests, reducing communication overhead, and improving service experience. However, implementing such an architecture requires addressing the challenges associated with ES response data reliability and communication security. In this study, to tackle the ES response data reliability issue, a blockchain-assisted threshold signature scheme for cache-based vehicular networks is proposed. The scheme utilizes a threshold mechanism to sign the data broadcast by the ES, incorporates blockchain to trace malicious signers, and avoids the shortcomings and limitations associated with idealized assumptions for the ES in existing data-sharing schemes. Moreover, considering the communication security and high-speed mobility of vehicles, using the non-interactive signatures of knowledge based on the Σ-protocol, a secure and efficient message authentication scheme for vehicles and ESs is provided. Through rigorous security proofs and comprehensive analyses, our scheme satisfies the communication security requirements of vehicular networks. By leveraging the JPBC library for performance analysis, the proposed scheme demonstrates advantages as concerns both computation and communication overheads compared to related schemes. Moreover, we implemented the proposed scheme on an Ethereum test network (i.e., Goerli) to validate its feasibility. © 2005-2012 IEEE.

关键词： Sensitive data

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Statically-Directed Dynamic Taint Analysis

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Chinese Journal of Electronics 2025年第1期23卷 18-24页

作者： Kai Chen Yingjun Zhang State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China Trusted Computing and Information Assurance Laboratory Institute of Software Chinese Academy of Sciences Beijing China

Taint analysis is a popular method in software analysis field including vulnerability/malware analysis. By identifying taint source and making suitable taint propagation rules, we could directly know whether variables in software have any relationship with input data. Static taint analysis method is efficient, but it is imprecise since runtime information is lacked. Dynamic taint analysis method usually instruments every instruction in software to catch the taint propagation process. However, this is inefficient since it usually takes lots of time for context switches between original code and instrumenting code. In this paper, we propose a statically-directed dynamic taint analysis method to increase the efficiency of taint analysis process without any loss of accuracy. In this way, there is no need to instrument every instruction. Several experiments are made on our prototype SDTaint and the results show that our method is several times more efficient than traditional dynamic taint analysis method.

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Stance Detection for Social Text: Inference-Enhanced Multi-Task Learning with Machine-Annotated Supervision

Stance Detection for Social Text: Inference-Enhanced Multi-T...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qiankun Pi Jicang Lu Yepeng Sun Qinlong Fan Xukun Zhou Shouxin Shang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China School of Information Renmin University of China Beijing China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Stance detection, a natural language processing technique, captures user attitudes on controversial social media topics. However, the semantic ambiguity of social texts makes accurate stance determination challenging. Existing annotated data is often domain-specific, resulting in poor model generalization for unseen targets and cross-domain scenarios. To tackle this challenge, we introduce inference tasks related to stance detection as auxiliary tasks and use a multitask learning approach to improve the model’s understanding of textual semantics. Meanwhile, to alleviate the scarcity of annotated data, we use argumentation corpus with abundant resources as the source domain to train the basic stance detection model. We integrate this model with a large-scale framework to facilitate weakly supervised learning for machine annotation of unlabeled social texts, thereby boosting the model’s adaptability across different targets and domains. Experimental results on four Twitter datasets demonstrate that our method can significantly improve the model’s stance discriminative ability and generalization performance.

关键词： Adaptation models Weak supervision Social networking (online) Annotations Semantics Blogs Transfer learning Signal processing Data models Speech processing

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International research initiative on genomicsguided sugarcane breeding

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Molecular Plant 2025年第2期18卷 171-174页

作者： Xingtan Zhang Jungang Wang Noor-ul-Ain Youxiong Que Jisen Zhang Javeria Abid Peifang Zhao Yuebin Zhang Jishan Lin Li-yu Chen Yixue Bao Robert Herry Sithichoke Tangphatsornruang Qinnan Wang Dongliang Huang Jian Ye Muqing Zhang Ming Luo Mike Butterfield Ren Wang Ray Ming National Key Laboratory of Tropical Crop Breeding Institute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesSanyaHainanChina National Key Laboratory for Tropical Crop Breeding Agricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdong 518120China State Key Laboratory for Conservation and Utilization of Subtropical Agri-Biological Resources&Guangxi Key Laboratory for Sugarcane Biology Guangxi UniversityNanningGuangxiChina National Key Laboratory of Tropical Crop Breeding Yunan Academy of Agricultural SciencesKaiyuanYunnanChina National Engineering Research Center for Sugarcane Fujian Provincial Key Laboratory of Haixia Applied Plant Systems BiologyKey Laboratory of GeneticsBreeding and Multiple Utilization of CropsMinistry of EducationFujian Agriculture and Forestry UniversityFuzhouFujianChina Queensland Alliance for Agriculture and Food Innovation University of QueenslandBrisbaneQLDAustralia National Omics Center National Science and Technology Development AgencyPathum ThaniThailand Institute of Nanfan&Seed Industry Guangdong Academy of Sciencesand Ministry of Agriculture of Guangdong Sugarcane Germplasm Resources and Utilization of Scientific Observation Test StationNo.10 Shiliugang RdGuangzhouGuangdong China Guangxi Key Laboratory of Sugarcane Genetic Improvement Guangxi Academy of Agricultural SciencesNanningGuangxiChina State Key Laboratory of Plant Genomics Institute of MicrobiologyChinese Academy of SciencesBeijingChina State Key Laboratory of Plant Diversity and Specialty Crops Guangdong Provincial Key Laboratory of Applied BotanySouth China Botanical Garden Chinese Academy of SciencesGuangzhou 510650China 12Centro De Tecnologia CanavieiraPiracicabaSão PauloBrazil

Addressing global challenges such as energy sustainability,food security,and environmental conservation requires innovative agricultural *** sugarcane(Saccharum hybrid)is a crucial crop that contributes not only to the sugar industry but also to bioenergy *** its traditional role,sugarcane supports global food security,environmental sustainability,and economic empowerment of *** 80%of the worldwide sugarcane production is dedicated to sugar,a dietary staple(OECD-FAO,2024).The remaining 19%aid biofuel production,with sugarcane accounting for 24%of the global ethanol feedstock by *** a C4 plant,sugarcane efficiently captures atmospheric carbon and acts as an important carbon ***,sugarcane cultivation can lower local temperatures by nearly 1°C compared to pastures/natural vegetation(Loarie et al.,2011).Economically,sugarcane is a high-value cash crop,generating$43 billion annually in Brazil alone(Voora et al.,2023).

关键词： annually sugar breeding

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