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A neural network response surface updating method for complex dynamic models based on modal matching reconstruction strategy 认领 引用
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作者 Xiang LI Zhinong JIANG +2 位作者 Huajin SHAO Hao WANG Yanfei ZUO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期626-642,共17页
An integrated dynamic model updating method is proposed to address the challenges of mode jumping and mode degeneracy for complex dynamic models.A reduced order proxy model of Neural Network Response Surface(NNRS)was ... An integrated dynamic model updating method is proposed to address the challenges of mode jumping and mode degeneracy for complex dynamic models.A reduced order proxy model of Neural Network Response Surface(NNRS)was constructed by Modal Matching Reconstruction Strategy(MMRS)and an Improved Vectorial Surrogate Model(IVSM).Among them,the analytical modes are correctly matched with the experimental modes by MMRS,and the order of the mode matching is determined by calculating the Modal Assurance Criterion(MAC),addressing the dynamic changes of the mode matching order during the construction of the NNRS.The fitted NNRS model results are vectorized by IVSM,enabling the rapid extraction of required input and output parameters under multi-parameter conditions,thereby improving efficiency.The model parameters are updated using a multi-objective genetic algorithm,which achieves the simultaneous updating of natural frequency and mode shape.To validate the accuracy and efficiency,an intermediate casing of a gas turbine was updated using the proposed method.With high efficiency,the mean absolute error of natural frequency for the matched order decreased from 24.46%to 3.89%,while the corresponding average MAC value increased from 0.654 to 0.752. 展开更多
关键词 Complex structures Dynamic model updating Modal analysis Modal Assurance Criterion Neural network Response surface
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Data Mining and Uncertainty-Aware with Missing Modalities for Multimodal Sentiment Analysis 认领 引用
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作者 Ying Cao Penghui Zhao +2 位作者 Xinyu Qiao Ningfan Zhan Xiaomei Zou 《Computers, Materials & Continua》 SCIE EI 2026年第9期570-596,共27页
Multimodal Sentiment Analysis(MSA)integrates diverse modalities to identify emotional states,yet performance often suffers in scenarios with missing data.In this situation,despite the promising results of recent metho... Multimodal Sentiment Analysis(MSA)integrates diverse modalities to identify emotional states,yet performance often suffers in scenarios with missing data.In this situation,despite the promising results of recent methods,the failure of part methods to fully exploit the latent valid information contained in incomplete modalities may degrade predictive performance.Besides,to address the oversight of varying contributions across modalities to sentiment understanding,the score-based weighting schemes in the exhibited methods remain overly sensitive to data fluctuations,leading to unstable and unreliable predictions.To this end,we propose a novel method,Data Mining and Uncertainty-Aware with Missing Modalities for Multimodal Sentiment Analysis(DUDF-MSA).In this method,the Common Feature Extraction(CFE)mechanism is introduced to learn common features across modalities,thereby guiding attention toward critical cues in the missing modalities.In parallel,the specific feature uncertainty-aware dynamic adjustment(SFUA)scheme is designed to,in addition to extracting modality-specific features,adaptively assess each modality’s contribution by quantifying its class uncertainty based on the probability distribution of its features.According to these weights,our method can effectively mitigate the negative impact of ambiguous sentiment cues from unreliable modalities during the following feature aggregation stage.Finally,the common features and the adjusted modality-specific features are jointly learned to predict sentiment intensity.The experiments conducted on benchmark datasets indicate the superior performance of DUDF-MSA,which yielding 34.29%Acc-7(1.062 MAE)on MOSI and 35.66%Acc-5(0.505 MAE)on SIMS. 展开更多
关键词 Multimodal sentiment analysis missing modalities common features extraction specific feature uncertainty-aware dynamic adjustment
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Hollow mesoporous Prussian blue nanozymes with intrinsic self-chromogenicity and photothermal amplification as a pH-adaptive dual-modal biosensor for one-step glucose monitoring 认领 引用
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作者 Mingyue Luo Xin Xue +5 位作者 Kehui Zhang Honghong Rao Baodui Wang Zhentong Zhu Jinhai Fan Zhonghua Xue 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第3期435-440,共6页
Traditional enzyme-nanozymes cascade assays for glucose detection are usually limited by p H incompatibility and operational complexity.Herein,we present a strategy based on hollow mesoporous Prussian blue(HMPB) nanoz... Traditional enzyme-nanozymes cascade assays for glucose detection are usually limited by p H incompatibility and operational complexity.Herein,we present a strategy based on hollow mesoporous Prussian blue(HMPB) nanozymes for one-step,dual-modal glucose sensing under neutral conditions.The rationally designed HMPB nanozymes exhibit intrinsic peroxidase-like activity at physiological pH(~7.4),inherent chromogenic properties and superior photothermal conversion efficiency.These features directly enable integration with glucose oxidase(GOx) for one-step glucose detection without intermediate p H adjustment.Additionally,the catalytic coupling of 4-aminoantipyrine/phenol oxidation products,enhanced by the intrinsic blue coloration of HMPB,generates vivid multicolorimetric responses for smartphone-based quantitative analysis.To enhance signal reliability,the photothermal properties of HMPB nanozymes are further ingeniously coupled with the thermal-responsive characteristics of oxidized3,3,5,5-tetramethylbenzidine(ox TMB),establishing a dual-amplified thermal imaging platform through portable infrared thermal imager detection.HMPB nanozymes serve as both a catalytic activator and an intrinsic signal reporter,establish a new platform in dual-modal glucose monitoring.The platform demonstrates remarkable clinical adaptability through its smartphone-compatible colorimetric readout and portable thermal imaging capabilities,achieving a detection limit of 1.39 μmol/L(multicolorimetric modal) and 3.05 μmol/L(photothermometric modal) for glucose with robust reliability in human serum samples.This research overcomes the p H mismatch barrier in enzyme-nanozymes cascade system,and providing a cost-effective,instrument-flexible detection strategy that bridges laboratory research and point-of-care diagnostics. 展开更多
关键词 Hollow mesoporous Prussian blue nanozymes Multicolorimetric modal Photothermometric modal Enzyme-nanozymes cascade assays One-step detection
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Model order reduction by dominance of mode sets and optimal modal span 认领 引用
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作者 Marcelo A.Oliveira Roberto Ades Paulo C.Pellanda 《Control Theory and Technology》 EI CSCD 2026年第3期462-473,共12页
This study introduces a novel model order reduction technique grounded in modal truncation,featuring the concept of optimal modal spans.It extends traditional modal dominance analysis by evaluating not only individual... This study introduces a novel model order reduction technique grounded in modal truncation,featuring the concept of optimal modal spans.It extends traditional modal dominance analysis by evaluating not only individual modes but also the collective influence of mode sets on approximation accuracy.For a specified reduced order,the method identifies the most representative subset of modes by exhaustively analyzing all feasible combinations.The reduced model is further refined through residue optimization,enabling accurate approximations at lower dimensions.The use of optimal modal spans,combined with convex residue fitting,yields reduced-order models that consistently outperform classical truncation approaches.These theoretical gains are formally established and supported by two formulations,one continuous and one discrete,along with numerical experiments that validate the approach and illustrate its practical advantages. 展开更多
关键词 Model order reduction Dominant modes Modal truncation Modal span
Mitigating Visual Noise in Multimodal AI:Selective Visual Grounding for Multimodal Machine Translation 认领 引用
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作者 Ki-Young Shin Soonmo Kwon Kyudong Park 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期1124-1139,共16页
Multimodal AI systems often suffer from“over-informing”,where excessive raw visual input introduces noise that distracts from task-relevant decisions.Motivated by selective human attention strategies,we propose ARS-... Multimodal AI systems often suffer from“over-informing”,where excessive raw visual input introduces noise that distracts from task-relevant decisions.Motivated by selective human attention strategies,we propose ARS-MMT(Attention and Reasoning through Source Sentences for Multimodal Machine Translation),an architecture that operationalizes a“look-and-think”pipeline:a source-language encoder first builds contextualized linguistic representations,a relation reasoning network then produces a query-conditioned visual channel,and a multimodal decoder generates the translation conditioned in parallel on the encoded text and on this visual channel.We quantify the contribution of the visual modality through a controlled ablation:zeroing visual features reduces BLEU by 0.81 on test_2016_flickr En-De,while shuffling visual features across the batch changes BLEU by only+0.01,indicating that the channel responds primarily to the presence of visual context rather than to its image-specific content.We additionally add a contemporary 7B-parameter vision–language baseline(LLaVA-1.5)and show that our compact 4.3M-parameter specialized model is competitive in-domain.To address the open question of whether per-region visual attention constitutes a faithful explanation in the multimodal-translation setting,we conduct a deletion/insertion AUC analysis and report a null result consistent with prior findings on text attention.We therefore characterize ARS-MMT as an architecture whose modality-level visual contribution is measurable but whose per-region attention is not by itself a faithful explanation;faithful per-region attribution is identified as a target for complementary explanation methods.We discuss implications for efficient and inspectable multimodal systems in engineering deployment. 展开更多
关键词 Explainable AI multimodal machine translation selective visual grounding attention faithfulness modality ablation vision–language models
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Modal analysis on a fluid-conveying pipe subject to elastic supports with unknown-but-bounded parameters 认领 引用
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作者 Sha Wei Xulong Li +2 位作者 Xiong Yan Hu Ding Liqun Chen 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第1期310-324,共15页
Uncertain parameters are widespread in engineering systems.This study investigates the modal analysis of a fluid-conveying pipe subjected to elastic supports with unknown-but-bound parameters.The governing equation fo... Uncertain parameters are widespread in engineering systems.This study investigates the modal analysis of a fluid-conveying pipe subjected to elastic supports with unknown-but-bound parameters.The governing equation for the elastically supported fluid-conveying pipe is transformed into ordinary differential equations using the Galerkin truncation method.The Chebyshev interval approach,integrated with the assumed mode method is then used to investigate the effects of uncertainties of support stiffness,fluid speed,and pipe length on the natural frequencies and mode shapes of the pipe.Additionally,both symmetrical and asymmetrical support stiffnesses are discussed.The accuracy and effectiveness of the Chebyshev interval approach are verified through comparison with the Monte Carlo method.The results reveal that,for the same deviation coefficient,uncertainties in symmetrical support stiffness have a greater impact on the first four natural frequencies than those of the asymmetrical one.There may be significant differences in the sensitivity of natural frequencies and mode shapes of the same order to uncertain parameters.Notably,mode shapes susceptible to uncertain parameters exhibit wider fluctuation intervals near the elastic supports,requiring more attention. 展开更多
关键词 Fluid-conveying pipe Elastic support Uncertainty Modal analysis Chebyshev interval method
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Semantic similarity with cross modal medical image online hashing for internet of medical things 认领 引用
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作者 Qinghai Liu Lun Tang +1 位作者 Qianlin Wu Jia Luo 《Digital Communications and Networks》 SCIE EI CSCD 2026年第5期845-854,共10页
Online hashing methods are receiving increasing attention in cross modal medical image retrieval research.However,existing online methods often lack the learning ability to maintain semantic correlation between new an... Online hashing methods are receiving increasing attention in cross modal medical image retrieval research.However,existing online methods often lack the learning ability to maintain semantic correlation between new and existing data.This paper proposes an Online Semantic-similarity Cross Modal Hashing(OSCMH)learning framework that can incrementally learn compact binary hash codes of streaming data.Considering the dynamic nature of data streams in online hashing methods,the proposed learning framework is implemented under the Internet of Medical Things(IoMT)architecture,where IoMT enables real-time data transmission and processing through edge computing resources,effectively supporting the storage and analysis of medical image data.Then,a sparse representation of existing data based on online anchor datasets is designed to avoid semantic forgetting of the data and adaptively update hash codes,effectively maintaining semantic correlation between existing and arriving data,reducing information loss and improving training efficiency.Finally,an online discrete optimization method is proposed to solve the binary optimization problem by incrementally updating the hash function and optimizing the hash code on the stream data points.A large number of experiments on the benchmark datasets have shown that the algorithm proposed in this paper can effectively improve the retrieval efficiency in the field of medical images compared to existing online or offline hashing methods. 展开更多
关键词 Online hashing Cross modal retrieval Medical image Discrete optimization
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Expert consensus on the selection of surgical treatment modalities for hepatocellular carcinoma(fourth revision) 认领 引用
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作者 Xiaoping Chen Liver Surgery Group,Society of Surgery,Chinese Medical Association,China 《Oncology and Translational Medicine》 CAS CSCD 2026年第3期117-127,共11页
In China,the incidence and mortality rates of hepatocellular carcinoma(commonly referred to as liver cancer)are relatively high.To further standardize the surgical treatment of liver cancer,the Liver Surgery Group of ... In China,the incidence and mortality rates of hepatocellular carcinoma(commonly referred to as liver cancer)are relatively high.To further standardize the surgical treatment of liver cancer,the Liver Surgery Group of Chinese Society of Surgery took the lead in 2000 in formulating and releasing the selection of surgical treatment modalities for primary hepatocellular carcinoma,which was subsequently revised three times in 2004,2009,and 2016.In recent years,with the rapid advancement of medical science and technology,new concepts and treatment modalities have continuously emerged.Based on this,the Liver Surgery Group of Chinese Society of Surgery convened all committee members of the group,along with other leading domestic experts in liver surgery,to revise the fourth edition of the Expert Consensus on the Selection of Surgical Treatment Modalities for Hepatocellular Carcinoma,incorporating the latest advances in surgical treatment of liver cancer,ultimately resulting in the fifth edition of the Expert Consensus on the Selection of Surgical Treatment Modalities for Hepatocellular Carcinoma,intended for reference by physicians engaged in the diagnosis and treatment of liver cancer. 展开更多
关键词 Hepatocellular carcinoma Surgical treatment Modalities consensus
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Multidimensional Body Composition Modalities and Their Associations with Brain Aging in Chinese Adults 认领 引用 被引量：1
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作者 Qiaoqiao Zhao Yanjie Zhao +11 位作者 Jing Ju Liming Zhang Xueqing Jia Duoduo Fu Jiening Yu Kaili Sun Liying Chen Xiaoting Liu Zuyun Liu Yan Zhang Yangzhen Lu Xuan Ge 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2026年第3期259-269,共11页
Objective This study examined the associations between multidimensional body composition modalities and brain aging in Chinese adults.Methods Brain age was estimated using ridge regression based on 24 head computed to... Objective This study examined the associations between multidimensional body composition modalities and brain aging in Chinese adults.Methods Brain age was estimated using ridge regression based on 24 head computed tomographyderived neuroanatomical indicators in a Chinese cohort(n=557).Brain age gap(BAG),the deviation between the predicted brain age and chronological age(CA),was categorized into brain age acceleration(BAG>0)and deceleration(BAG<0)groups.Principal component analysis of 22 correlationindependent body composition indicators identified different body composition modalities.Logistic regression was used to examine the associations between these modalities and the BAG groups.Results The mean absolute error of brain age in predicting CA was 6.41 years.Three body composition modalities were identified:fat mass dominant(characterized by high loading coefficients of body fat mass,fat mass index,visceral fat level,and fat-to-lean mass ratio);fat-free mass dominant;and trunkleg contrast distribution.The fat mass dominant modality was significantly associated with brain age acceleration(odds ratio[OR]=1.40,95%confidence interval[CI]:1.15‒1.71),and the association was robust in sensitivity analyses.Conclusion The fat mass dominant modality was significantly associated with accelerated brain aging.This study suggests integrating deep body composition indicators into clinical and community health screening could aid in targeted prevention of brain aging. 展开更多
关键词 Body composition modality Brain age Multidimensional Chinese cohort
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Rail freight development and modal shift from road transport:an empirical analysis of economic,energy and environmental perceptions in Morocco 认领 引用 被引量：1
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作者 Alaa Eddine El Moussaoui Taoufiq El Moussaoui 《Railway Sciences》 2026年第2期225-244,共20页
Purpose-The purpose of this study is to examine the determinants of modal shift intention from road freight transport to rail freight in Morocco,focusing on the perceived economic,energy and environmental performance ... Purpose-The purpose of this study is to examine the determinants of modal shift intention from road freight transport to rail freight in Morocco,focusing on the perceived economic,energy and environmental performance of rail freight.Design/methodology/approach-A quantitative survey was conducted among key freight transport stakeholders,including road carriers,industrial shippers,logistics operators and experts.A total of 483 valid questionnaires were collected.Measurement scales were derived from the literature and adapted to the Moroccan context.Data were analyzed using SPSS through descriptive statistics,reliability analysis,correlation tests and multiple linear regression.Findings-The results indicate generally positive perceptions of rail freight,particularly regarding energy efficiency and environmental performance.All three perceived performance dimensions have a positive and significant effect on modal shift intention.Perceived energy performance emerges as the strongest predictor,followed by environmental impact,while economic performance shows a significant but more moderate influence.The model demonstrates strong explanatory power.Research limitations/implications-The study relies on perceptual data and a non-probabilistic sampling approach,which may limit the generalizability of the findings.Future research could integrate objective cost,energy and emission data;apply longitudinal designs or extend the model by incorporating institutional,infrastructural and policy-related variables to further explain rail freight adoption.Practical implications-The findings provide valuable insights for policymakers,rail operators and logistics managers by highlighting the key levers for promoting rail freight development.Strengthening rail energy efficiency,improving service reliability and enhancing intermodal integration can significantly increase stakeholders’willingness to shift freight from road to rail.Social implications-By encouraging modal shift toward rail freight,the study supports broader societal objectives related to environmental protection,energy security and sustainable development.Increased use of rail freight can contribute to reduced greenhouse gas emissions,lower road congestion and improved quality of life in urban and industrial areas.Originality/value-This study provides one of the first empirical investigations of rail freight modal shift determinants in Morocco,offering an integrated analysis of economic,energy and environmental factors within a single conceptual framework. 展开更多
关键词 Rail freight transport Modal shift Energy efficiency Environmental performance
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Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer 认领 引用
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作者 Runze Cheng Xihang Qiu +3 位作者 Ming Li Ye Zhang Fei Richard Yu Chun Li 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期939-954,共16页
Multimodal MRI(magnetic resonance imaging)provides critical complementary information for accurate brain tumor segmentation.However,conventional methods struggle when certain modalities are missing due to issues like ... Multimodal MRI(magnetic resonance imaging)provides critical complementary information for accurate brain tumor segmentation.However,conventional methods struggle when certain modalities are missing due to issues like image quality,protocol inconsistencies,patient allergies,or financial constraints.To address this,we propose a robust single-modality parallel processing framework that achieves high segmentation accuracy even with incomplete modalities.Leveraging Hölder divergence and mutual information,our model maintains modality-specific features while dynamically adjusting network parameters based on available inputs.By using these divergence and information-based loss functions,the framework effectively quantifies discrepancies between predictions and ground-truth labels,resulting in consistently accurate segmentation.Extensive evaluations on the Bra TS 2018 and Bra TS 2020 datasets demonstrate superior performance over existing methods in handling missing modalities,with ablation studies validating each component's contribution to the framework. 展开更多
关键词 Brain-tumor segmentation divergence learning knowledge distillation missing modality learning
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Modal Logics over Bounded Lattices and Its Variety 认领 引用
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作者 Xiaoyang Wang 《逻辑学研究》 CSSCI 2025年第6期1-18,共18页
This article extends the foundational work of Wang and Wang on modal logic over lattices.Building upon their framework using polyadic modal logic with binary modalitiesandunder standard Kripke semantics to axiomatize ... This article extends the foundational work of Wang and Wang on modal logic over lattices.Building upon their framework using polyadic modal logic with binary modalitiesandunder standard Kripke semantics to axiomatize lattice structures,we focus on the modal characterization of bounded lattices and their extensions relevant to logical systems.By introducing nullary modalities 1(maximum element)and 0(minimum element),we first establish a modal axiomatic system for bounded lattices.Subsequently,we provide pure formula characterizations of complementation and orthocomplementation relations in lattices,along with corresponding completeness results.As key applications,we present modal characterizations of fundamental logical algebraic structures:Boolean algebras,orthomodular lattices,and Heyting algebras.The last section develops novel axiomatization results for atomic lattices and atomless lattices.Throughout this work,all axiomatic systems are shown to be strongly complete via pureformula extensions,demonstrating how hybrid modal languages with nullary operators can uniformly capture boundary elements,complementation properties,and latticetheoretic operations central to both classical and nonclassical logics. 展开更多
关键词 standard kripke semantics axiomatize lattice nullary modalities modal axiomatic system polyadic modal logic modal characterization modal logic bounded lattices
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A Pilot Study on the Accuracy of Large Language Models(ChatGPT,Google Bard,and Microsoft Copilot)for Selecting the Correct Modality for Musculoskeletal Clinical Cases According to the ACR's Appropriateness Criteria 认领 引用
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作者 Thomas Saliba Patrick Omoumi Grammatina Boitsios 《iRADIOLOGY》 CSCD 2026年第1期35-39,共5页
Background:Large language models(LLMs)are becoming more commonly used in many aspects of radiology.Some authors have previously tested the capacity of various LLMs to suggest the correct imaging modality according to ... Background:Large language models(LLMs)are becoming more commonly used in many aspects of radiology.Some authors have previously tested the capacity of various LLMs to suggest the correct imaging modality according to the guidelines of various associations,such as the American College of Radiology.This study aims to test whether free LLMs can suggest the most appropriate imaging modality in various musculoskeletal radiological cases.Methods:We tested ChatGPT 3.5,Google Bard,and Copilot(Precise)to see if they could correctly suggest the appropriate imaging modality per the American College of Radiology's Appropriateness Criteria,using clinical vignettes from the musculoskeletal section.Seventy-six vignettes were submitted to each chatbot,with the answer only being considered correct if it was the most appropriate according to the guidelines.Results:ChatGPT 3.5 was correct in 82% of cases,Bard in 66%,and Copilot in 89% of cases.Bard was unable to answer in four cases,claiming that as a LLM,it was not capable of answering the question.Conclusions:We found that all three LLMs were able to suggest the correct modality in a majority of cases.However,there was variability in the performance of the LLMs,with Copilot performing the best overall,with an accuracy of 89%. 展开更多
关键词 artificial intelligence Bard ChatGPT Copilot diagnostic guidelines imagining modality prescription
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A new ground-motion scaling and record selection procedure for asymmetric-plan buildings using the 2DOF-modal pushover method 认领 引用
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作者 Hamid Hojaji Mohammad Sadegh Birzhandi Mohammad Mahdi Zafarani 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第1期71-86,共16页
Advanced intensity measures(IMs)based on an inelastic deformation spectrum improved the evaluation of the median engineering demand parameters(EDPs)and reduced dispersion.In this regard,an optimized two-degreefreedom(... Advanced intensity measures(IMs)based on an inelastic deformation spectrum improved the evaluation of the median engineering demand parameters(EDPs)and reduced dispersion.In this regard,an optimized two-degreefreedom(2DOF)modal pushover-based scaling procedure(2DMPS)has been developed for a nonlinear dynamic analysis of asymmetric in-plan buildings.The 2DMPS procedure scales ground motions to approach close enough to a target value of the inelastic displacement of the first-mode inelastic 2DOF modal stick,extended for structures with significant contributions of higher modes.Further,4-,6-and 13-story RC SMRF buildings were selected for analyses using ground motion records scaled by the 2DMPS procedure,the modal pushover-based scaling method(MPS),and ASCE/SEI 7-16 scaling procedures.The median values of EDPs on scaled records closely matched the benchmark results.The bias in the EDP values due to the scaled records in every group regarding their median value was lower than the dispersion of the 21 unscaled records.These results generally demonstrate the accuracy and efficiency of the 2DMPS method.Additionally,the 2DOF modal stick’s inelastic response spectra are better suited for calculating seismic demands for one-way asymmetric-plan structures than the SDOF inelastic response spectra. 展开更多
关键词 intensity measure record selection asymmetric structures modal pushover method record scaling inelastic response spectra
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Bounded Data Modeling with the Extended Bradford Distribution:Modal Regression Approach and Applications 认领 引用
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作者 Emrah Altun Christophe Chesneau Atacan Erdis 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期887-910,共24页
Modeling bounded response variables is an important problem in computational statistics,especially in applications involving skewed,heavy-tailed data.In such cases,the modal regression is a robust alternative to tradi... Modeling bounded response variables is an important problem in computational statistics,especially in applications involving skewed,heavy-tailed data.In such cases,the modal regression is a robust alternative to traditional mean-based modeling approaches.In this study,a new bounded distribution,called the extended Bradford distribution,is proposed as a flexible extension of the classical Bradford distribution.By incorporating an additional shape parameter,the corresponding model can capture various shape structures,such as left and right skewness,increasing,and bathtub hazard shapes.The new distribution provides an explicit expression for the mode,making it suitable for modal regression.Based on this,a parametric modal regression model is developed,and parameter estimation is performed via the maximum likelihood method.The behavior of the estimators is investigated through comprehensive simulation studies.The practical usefulness of the proposed model is illustrated through applications,where the proposed model provides an improved fit compared to several competing models.In addition,an interactive R Shiny application is developed to facilitate the implementation,computation,and visualization of the model. 展开更多
关键词 Bradford distribution modal regression residual estimation Mathematics Subject Classification:62E15
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Traditional Chinese Medicine for the prevention and treatment of adolescent idiopathic scoliosis:scientific understanding and a multimodal therapeutic approach 认领 引用
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作者 LIN Kaifeng ZENG Zhongliao +7 位作者 SUN Yan SUN Fangzhou ZHANG Han SUN Jing JIANG Ling Jeffrey D.Deng LI Min LIANG Bocheng 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2026年第3期745-756,共12页
Adolescent Idiopathic Scoliosis(AIS)is a common spinal disorder characterized by deviations in the coronal,sagittal,and axial planes.As AIS progresses with age,it compromises biomechanical function and increasingly im... Adolescent Idiopathic Scoliosis(AIS)is a common spinal disorder characterized by deviations in the coronal,sagittal,and axial planes.As AIS progresses with age,it compromises biomechanical function and increasingly impacts pulmonary function and psychological well-being.Bracing and Physiotherapeutic Scoliosis-Specific Exercises(PSSE)are commonly used conservative treatments for AIS.However,Traditional Chinese Medicine(TCM)has been gaining increasing attention in conservative AIS management.This study examines the effectiveness of TCM and its integrative therapies in AIS treatment,with particular emphasis on the foundational TCM concept of“preventive treatment of disease”.A three-level prevention strategy is proposed,highlighting the importance of early detection,timely treatment,and proactive intervention.This framework aims to promote a scientific understanding of TCM approaches and their synergistic use with other therapies in AIS management,offering new perspectives and potential directions for future. 展开更多
关键词 adolescent idiopathic scoliosis combined modality therapy medicine Chinese traditional three-level prevention review
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A New Proposal for a Time-Based Semantics for Modalities in Ockham’s Logic 认领 引用
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作者 Lu Jiang 《逻辑学研究》 CSSCI 2026年第3期24-48,共25页
Attempts in the 1970s to outline Ockham’s modalities are helpful as they point out the temporal character of Ockham’s theory of modalities.However,this important insight has been neglected for several decades.Faless... Attempts in the 1970s to outline Ockham’s modalities are helpful as they point out the temporal character of Ockham’s theory of modalities.However,this important insight has been neglected for several decades.Falessi and Schang(2023)is one of the few recent serious attempts to work out a semantic for Ockham’s modalities,resorts to possible worlds semantics and largely disregards temporal aspects.This paper begins with a synopsis of important modern approaches to semantics for Ockham’s modalities,and proceeds with a discussion on methodological problems concerning a representation of medieval logic and a clarification of Ockham’s modal terms.After that,it examines Falessi and Schang’s approach in detail,and assesses it against Ockham’s own texts and understandings.In doing so,we identify what is inadequate in Falessi and Schang’s reconstruction,enabling a return to Ockham’s own texts and with the aid of modern logical tools the development of a new approach to represent Ockham’s understanding of modalities.We ultimately arrive at a time-based relational semantics without branching time for the representation of several key features of Ockham’s modalities. 展开更多
关键词 time based semantics logical tools Ockhams logic modern approaches semantics possible worlds semantics modalities temporal aspects medieval logic
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ACTap:Integrating Attention and Convolution for Network Modality Recognition 认领 引用
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作者 Ling Zihan Zhang Tianwei +2 位作者 Ning Yuwei Cao Yang Shen Can 《ZTE Communications》 2026年第2期71-82,共12页
With the sustained growth of live video streaming,the demand for high-quality video services for mobile users across diverse network environments is increasing rapidly.In this paper,we define the network fluctuation c... With the sustained growth of live video streaming,the demand for high-quality video services for mobile users across diverse network environments is increasing rapidly.In this paper,we define the network fluctuation characteristics in different environments as network modality.To comprehensively investigate network modality across different environments,we construct a network modality dataset by collecting multi-dimensional network metrics from various real-world scenarios and suggest that network modality exhibits separability.Therefore,network modality recognition,which aims to distinguish the scenarios where a user is located based on network modality sequences,is feasible and can be formulated as a multivariate time series(MTS)classification problem.To address this problem,we propose a novel neural network(NN)-based classification model called ACTap.Specifically,the model first integrates a two-stage attention(TSA)mechanism and a convolutional neural network(CNN)to extract features from network modality sequences.Then,it filters out noisy feature representations to learn discriminative class prototypes,and finally recognizes network modality based on the distance between their feature representations and class prototypes.Experimental results validate the separability of network modality and show that ACTap outperforms four benchmark models in terms of classification accuracy on the network modality dataset. 展开更多
关键词 network modality multivariate time series classification feature fusion class prototype learning
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On Modal Logics of Subset Spaces 认领 引用
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作者 Shengyang Zhong 《逻辑学研究》 CSSCI 2025年第3期1-24,共24页
In modal logic,topological semantics is an intuitive and natural special case of neighbourhood semantics.This paper stems from the observation that the satisfaction relation of topological semantics applies to subset ... In modal logic,topological semantics is an intuitive and natural special case of neighbourhood semantics.This paper stems from the observation that the satisfaction relation of topological semantics applies to subset spaces which are more general than topological spaces.The minimal modal logic which is strongly sound and complete with respect to the class of subset spaces is found.Soundness and completeness results of some famous modal logics(e.g.S4,S5 and Tr)with respect to various important classes of subset spaces(eg intersection structures and complete fields of sets)are also proved.In the meantime,some known results,e.g.the soundness and completeness of Tr with respect to the class of discrete topological spaces,are proved directly using some modifications of the method of canonical mode1,without a detour via neighbourhood semantics or relational semantics. 展开更多
关键词 subset spaces modal logics topological semantics modal logics egs s satisfaction relation modal logictopological semantics neighbourhood semanticsthis
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Extraction of Modal Depth Functions and Wavenumbers Using Full Rank Decomposition Method with a Vertical Line Array 认领 引用 被引量：1
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作者 ZHANG Shuang ZHANG Yinquan +3 位作者 QIN Jinxing LI Zhenglin GUO Yonggang WU Shuanglin 《Journal of Ocean University of China》 SCIE CAS CSCD 2025年第3期672-684,共13页
Normal mode extraction has attracted extensive attention over the past few decades due to its practical value in enhancing the performance of underwater acoustic signal processing.Singular value decomposition(SVD)is a... Normal mode extraction has attracted extensive attention over the past few decades due to its practical value in enhancing the performance of underwater acoustic signal processing.Singular value decomposition(SVD)is an effective method to extract modal depth functions using vertical line arrays(VLA),particularly in scenarios when no prior environment information is available.However,the SVD method requires rigorous orthogonality conditions,and its performance severely degenerates in the presence of mode degeneracy.Consequently,the SVD approach is often not feasible in practical scenarios.This paper proposes a full rank decomposition(FRD)method to address these issues.Compared to the SVD method,the FRD method has three distinct advantages:1)the conditions that the FRD method requires are much easier to be fulfilled in practical scenarios;2)both modal depth functions and wavenumbers can be simultaneously extracted via the FRD method;3)the FRD method is not affected by the phenomenon of mode degeneracy.Numerical simulations are conducted in two types of waveguides to verify the FRD method.The impacts of environment configurations and noise levels on the precision of the extracted modal depth functions and wavenumbers are also investigated through simulation. 展开更多
关键词 normal mode extraction modal depth function modal wavenumber full rank decomposition
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