期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到108,169篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
A unified framework for small object analysis in UAV imagery:Tracking single target from multiple detected targets 认领 引用
1
作者 Yanfang LIU Jiayu SHE +4 位作者 Yituo SONG Zhufei LIU Huarui XU Qiufan YUAN Naiming QI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期431-450,共20页
A framework for visual small target detection and tracking is introduced,leveraging Unmanned Aerial Vehicle(UAV)Remote Sensing Images(RSIs).The proposed Cropped Target Detection and Tracking(CTDT)framework comprises t... A framework for visual small target detection and tracking is introduced,leveraging Unmanned Aerial Vehicle(UAV)Remote Sensing Images(RSIs).The proposed Cropped Target Detection and Tracking(CTDT)framework comprises two integral stages:the detection stage and the tracking stage.During the detection stage,all targets can be identified from RSIs,providing a basis for the subsequent single-object tracking stage.Both stages are based on a cropping and random sampling strategy:the RSI is cropped into Small-Sized Images(SSIs),from which a random batch is constantly selected without repetition and fed into a network to locate the target until the target is discovered or all SSIs are used.This strategy improves the efficiency of detection and tracking.After cropping,the target may appear in multiple SSIs,and the target in each SSI may be incomplete.A Cropped Target Feature Extraction(CTFE)network is designed to detect and track the target by leveraging the information from small and incomplete targets in SSIs.CTFE achieves high precision and meets real-time requirements.The performance analysis of the detection network is also conducted in detail,and the results are instrumental in informing the design of the tracking network.By utilizing three UAV RSI datasets(UAVDT,UAV123,and DTB70),CTDT is compared to numerous state-of-the-art mainstream methods,such as PVT++,SiamBAN,SmallTrack,SiamAPN++,SiamIRCA,SiamFC,and CSK,to confirm its superiority and real-time performance.The results affirm that the proposed framework exhibits outstanding performance and adaptability to fast-moving targets,target loss,and camera failures,and holds promise for realtime applications.Additionally,real-world tests on a typical UAV platform demonstrate excellent performance and efficiency in a variety of UAV-specific tasks,as well as transferability for new missions. 展开更多
关键词 Convolutional neural networks Real-time application Remote sensing image Small target detection Small target tracking
暂未订购 下载PDF
Unraveling the intricacies of small cell lung cancer:FAK splicing variants as a new feature and therapeutic vulnerability of small cell lung cancer 认领 引用
2
作者 Qingzhe Wu Tingting Hou Hai Song 《MedScience》 SCIE CAS CSCD 2026年第2期387-391,共5页
Small cell lung cancer(SCLC)remains one of the most aggressive and lethal malignancies,with a dismal 5‑year survival rate of less than 10%,and the high metastatic potential and rapid progression of SCLC pose significa... Small cell lung cancer(SCLC)remains one of the most aggressive and lethal malignancies,with a dismal 5‑year survival rate of less than 10%,and the high metastatic potential and rapid progression of SCLC pose significant clinical challenges[1].Despite its strong association with tobacco carcinogens,the molecular mechanisms driving SCLC pathogenesis and its resistance to therapy are not fully understood.The study by Wang et al. 展开更多
关键词 pathogenesis molecular mechanisms metastasis tobacco carcinogensthe therapeutic vulnerability small cell lung cancer sclc remains fak splicing variants small cell lung cancer
暂未订购 下载PDF
Fixed-Time Fault-Tolerant Control for Small UUV With Dual-Layer Evolving Performance Boundary Under Full-State Constraints 认领 引用
3
作者 Hongtao Liang Huiping Li Junzhi Yu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1767-1769,共3页
Dear Editor,This letter investigates the fixed-time fault-tolerant control(FTC)problem for small unmanned underwater vehicles(UUVs)subject to the full-state error constraints involving position-layer and velocitylayer... Dear Editor,This letter investigates the fixed-time fault-tolerant control(FTC)problem for small unmanned underwater vehicles(UUVs)subject to the full-state error constraints involving position-layer and velocitylayer.First,a dual-level evolving performance boundary is devised by integrating the fixed-time performance functions and low-complexity error transformation techniques.This novel formulation converts the full-state constrained control issue into a dual-layer unconstrained stabilization,thus ensuring fixed-time convergence regardless of initial conditions. 展开更多
关键词 fixed time fault tolerant control velocity layer full state constraints small unmanned underwater vehicles small unmanned underwater vehicles uuvs subject dual layer evolving performance boundary position layer
暂未订购 下载PDF
A lightweight single stage small object detection network based on knowledge distillation and novel feature networks 认领 引用 被引量：1
4
作者 Miao ZHANG Xuefang ZHOU Junchao HU 《Optoelectronics Letters》 EI 2026年第5期282-288,共7页
With the increasing demand for traffic sign detection,the challenge of small target detection has become particularly prominent.The present study proposes an innovative approach by integrating knowledge distillation,L... With the increasing demand for traffic sign detection,the challenge of small target detection has become particularly prominent.The present study proposes an innovative approach by integrating knowledge distillation,L2 loss function,and convolutional block attention module(CBAM)mechanism to effectively tackle this issue.This series of improvements not only provide a new idea for small target detection,but also bring significant performance improvement in actual traffic scenes.Then,the integration method of the bidirectional feature pyramid network(BiFPN)is used to enhance the flexibility of the neural network to deal with input of different scales,while speeding up and improving the process of feature fusion.The experimental results demonstrate that when processing the Chinese city traffic sign detection benchmark(CCTSDB)dataset and executing the FLOW-IMG small target detection task,the optimized algorithm shows obvious performance improvement,and its accurate recognition rate jumps to 97%and 84.9%,respectively.For the basic algorithm,two datasets achieved improved accuracy by an innovative approach,improving accuracy by 5.8%and 1.3%,respectively.In terms of resource efficiency,compared to the original teacher model,the newly constructed model reduced the number of computing participants by approximately 15%during execution,while successfully reducing the overall computing task load by 14%. 展开更多
关键词 traffic sign detectionthe integration method knowledge distillationl loss functionand L loss function knowledge distillation small target detection small target detectionbut bidirectional feature pyramid network
暂未订购 下载PDF
MCC950 suppresses NLRP3-dependent neuroinflammation and ameliorates cognitive decline in a rat model of cerebral small vessel disease 认领 引用 被引量：2
5
作者 Meiyan Zhang Xiaoyan Lan +6 位作者 Yue Gao Shen Li Guanda Qiao Yajie Liang Miroslaw Janowski Piotr Walczak Chengyan Chu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第6期2425-2432,共8页
Cerebral small vessel disease is a major vascular contributor to cognitive impairment and dementia.However,there remains a lack of effective preventative or therapeutic regimens for cerebral small vessel disease.In th... Cerebral small vessel disease is a major vascular contributor to cognitive impairment and dementia.However,there remains a lack of effective preventative or therapeutic regimens for cerebral small vessel disease.In this study,we investigated the potential therapeutic effects of MCC950,a selective NOD-like receptor family pyrin domain-containing protein 3 inhibitor,on cerebral small vessel disease pathogenesis and cognitive decline in spontaneously hypertensive rats.Our results showed that chronic administration of MCC950(10 mg/kg)to spontaneously hypertensive rats inhibited NOD-like receptor family pyrin domain-containing protein 3 inflammasome activation,thereby considerably suppressing the production of pyroptosis executive protein gasdermin D and pro-inflammatory factors,including interleukin-1βand-18.A decrease in astrocytic and microglial activation was also observed.We also found that MCC950 significantly inhibited autophagy.More importantly,behavioral assessment indicated that MCC950 administration ameliorated impaired neurocognitive function,which was associated with improvements in neuropathological hallmarks in the cerebral small vessel disease brain,such as blood‒brain barrier breakdown,white matter damage,and endothelial dysfunction.Thus,our findings revealed that the NOD-like receptor family pyrin domain-containing protein 3 inflammasome is a key contributor to the onset or progression of cerebral small vessel disease and suggested the potential of NOD-like receptor family pyrin domain-containing protein 3-based therapy as a potential novel strategy for treating cerebral small vessel disease. 展开更多
关键词 astrocyte autophagy blood-brain barrier cerebral small vessel disease cognitive function endothelial cells microglia neuroinflammation NLRP3 inflammasome white matter
暂未订购 下载PDF
Mesenchymal stem cell-derived small extracellular vesicles enhance the therapeutic effect of retinal progenitor cells in retinal degenerative disease rats 认领 引用 被引量：2
6
作者 Chunge Ren Min Chen +10 位作者 Bangqi Ren Yuxiao Zeng Qiang Tan Qiyou Li Xue Zhang Yajie Fang Yixiao Zhou Weitao Zhang Fang Chen Baishijiao Bian Yong Liu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第2期821-832,共12页
Our previous study demonstrated that combined transplantation of bone marrow mesenchymal stem cells and retinal progenitor cells in rats has therapeutic effects on retinal degeneration that are superior to transplanta... Our previous study demonstrated that combined transplantation of bone marrow mesenchymal stem cells and retinal progenitor cells in rats has therapeutic effects on retinal degeneration that are superior to transplantation of retinal progenitor cells alone.Bone marrow mesenchymal stem cells regulate and interact with various cells in the retinal microenvironment by secreting neurotrophic factors and extracellular vesicles.Small extracellular vesicles derived from bone marrow mesenchymal stem cells,which offer low immunogenicity,minimal tumorigenic risk,and ease of transportation,have been utilized in the treatment of various neurological diseases.These vesicles exhibit various activities,including anti-inflammatory actions,promotion of tissue repair,and immune regulation.Therefore,novel strategies using human retinal progenitor cells combined with bone marrow mesenchymal stem cell-derived small extracellular vesicles may represent an innovation in stem cell therapy for retinal degeneration.In this study,we developed such an approach utilizing retinal progenitor cells combined with bone marrow mesenchymal stem cell-derived small extracellular vesicles to treat retinal degeneration in Royal College of Surgeons rats,a genetic model of retinal degeneration.Our findings revealed that the combination of bone marrow mesenchymal stem cell-derived small extracellular vesicles and retinal progenitor cells significantly improved visual function in these rats.The addition of bone marrow mesenchymal stem cell-derived small extracellular vesicles as adjuvants to stem cell transplantation with retinal progenitor cells enhanced the survival,migration,and differentiation of the exogenous retinal progenitor cells.Concurrently,these small extracellular vesicles inhibited the activation of regional microglia,promoted the migration of transplanted retinal progenitor cells to the inner nuclear layer of the retina,and facilitated their differentiation into photoreceptors and bipolar cells.These findings suggest that bone marrow mesenchymal stem cell-derived small extracellular vesicles potentiate the therapeutic efficacy of retinal progenitor cells in retinal degeneration by promoting their survival and differentiation. 展开更多
关键词 differentiation inflammation mesenchymal stem cells microglia migration rat retinal degeneration retinal progenitor cells small extracellular vesicles stem cell transplantation
暂未订购 下载PDF
Biomarker advancements in cerebral small vessel disease:An overview 认领 引用 被引量：1
7
作者 Wenqian Luo Chenhui Cao +6 位作者 Wenli Li Ting Wei Zeyu Zhao Guanqing Wang Xiaoli Li Yanbin Li Bin Liu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第7期2704-2714,共11页
Cerebral small vessel disease is a condition caused by chronic cerebral hypope rfusion due to microvascular damage and is a major contributor to stro ke and dementia.Traditionally,its diagnosis has relied primarily on... Cerebral small vessel disease is a condition caused by chronic cerebral hypope rfusion due to microvascular damage and is a major contributor to stro ke and dementia.Traditionally,its diagnosis has relied primarily on neuroimaging findings.However,recent advances in the understanding of cerebral small vessel disease pathophysiology have opened new avenues for early detection and targeted therapeutic interventions.Notably,the identification and investigation of cerebral small vessel disease-related biomarkers have emerged as a promising strategy for early diagnosis.This review provides an ove rview of recent research on cerebral small vessel disease biomarkers,including plasma biomarke rs,cerebrospinal fluid biomarke rs,and genetic markers.Finally,we discuss future directions and trends in the clinical validation of these biomarke rs. 展开更多
关键词 aging biomarkers cerebral small vessel disease cerebrospinal fluid endothelial dysfunction genes inflammatory biomarkers neurovascular unit
暂未订购 下载PDF
CAGE-YOLO:A Dense Small Object Detection Model for Aquaculture Net Cages Based on Remote Sensing Images 认领 引用 被引量：1
8
作者 ZHANG Wenbo JIANG Yijue +2 位作者 SONG Wei HE Qi ZHANG Wenbo 《智慧农业（中英文）》 CSCD 2026年第2期98-117,共20页
[Objective]Detecting dense and small aquaculture net cages in complex backgrounds is difficult,the purpose of this study is to build a specialized dataset and design a targeted detection model that enhances recognitio... [Objective]Detecting dense and small aquaculture net cages in complex backgrounds is difficult,the purpose of this study is to build a specialized dataset and design a targeted detection model that enhances recognition accuracy and robustness for practical aquaculture management.[Methods]A dataset of aquaculture net cages was constructed using highresolution remote sensing imagery collected from seven representative farming regions(Australia,Canada,Chile,Croatia,Greece,China,and the Faroe Islands),and Cage-YOLO,a deep learning model based on YOLOv5,was proposed for detecting dense and small aquaculture net cages.First,an adaptive dense perception algorithm was introduced,which automatically selects and generates feature maps that reflect the high-density distribution of small aquaculture net cages.Second,an enhanced module based on spatial pyramid pooling fast was integrated to effectively reduce background noise interference and improve global feature extraction capabilities.Finally,a mixed attention block was incorporated to further enhance the model's perception of dense and small objects.[Results and Discussions]Experimental results showed that the proposed Cage-YOLO achieved improvements over the original YOLOv5 in terms of precision,recall,and mean average precision by 5.6,21.8,and 17.4 percentage points,respectively.The model size was maintained at 16.9 MB,demonstrating both strong performance and deployment advantages.[Conclusions]This study provides a new approach for dense and small object detection and offers technical support for the intelligent management of marine cage aquaculture. 展开更多
关键词 aquaculture net cage small object detection adaptive dense perception algorithm enhancement spatial pyramid pooling mix attention block
暂未订购 下载PDF
Measurement system calibration and radiation characteristic inversion based on infrared weak and small targets 认领 引用
9
作者 LI Wen-Xiong SHEN Jun-Li +3 位作者 LU Zhen-Yu MEN Shu-Dong WU Qing-Wen ZHAO Xiao-Yan 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2026年第2期337-344,共8页
With the widespread application of infrared detection technology in fields such as military reconnaissance,aerospace monitoring,and security early warning,infrared measurement systems play a critical role in infrared ... With the widespread application of infrared detection technology in fields such as military reconnaissance,aerospace monitoring,and security early warning,infrared measurement systems play a critical role in infrared detection.In response to issues such as low calibration efficiency and significant environmental interference in the calibration and radiative property inversion of infrared measurement systems,this paper proposes a calibration and radiative property inversion method based on infrared weak small targets.A small-area blackbody source is used as a controllable radiation source to project infrared targets,and deep learning networks are employed for precise identification and gray-scale extraction of infrared weak small targets.Using this,a calibration model for the measurement system is established.Experimental results show that the method demonstrates good calibration stability within the temperature range of 298-308 K,with the absolute error of radiative property inversion controlled within±2 K and the relative error of inversion temperature≤0.5%.Regression analysis also indicates high temperature inversion accuracy(R2>0.94).Compared to traditional methods,the proposed method balances calibration efficiency and accuracy while extending the ability to invert the temperature field of targets.This research provides an effective solution for rapid calibration and high-precision radiative property analysis of infrared weak small targets. 展开更多
关键词 infrared measurement system calibration inversion small targets
暂未订购 下载PDF
Cerebral Small Vessel Disease-driven Inflammatory Cytokines,Brain Structural Alterations,and Cognitive Function:A Mendelian Randomization Study 认领 引用
10
作者 Mengxue Wang Zan Wang +4 位作者 Jingting Kong Lv Zhou Xuezi Zhang Yanjuan Wang Qingguo Ren 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2026年第6期662-676,共15页
Objective This study aimed to investigate the role of circulating inflammatory cytokines in the pathway linking cerebral small vessel disease(CSVD)to cognitive impairment(CI),and to further elucidate the neuroimaging ... Objective This study aimed to investigate the role of circulating inflammatory cytokines in the pathway linking cerebral small vessel disease(CSVD)to cognitive impairment(CI),and to further elucidate the neuroimaging mechanism of CSVD-driven inflammatory cytokines on cognitive function.Methods We conducted a two-step,two-sample Mendelian randomization(MR)analysis to evaluate the causal effect of CSVD on circulating inflammatory cytokines and CSVD-driven inflammatory cytokines on the risk of CI.Using a separate two-sample MR analysis,we explored the potential mechanisms by which these inflammatory cytokines affect cognition,with cytokines identified as mediators between CSVD and CI treated as exposure and brain structural imaging as outcomes.Results Genetically predicted CSVD was causally associated with the levels of 11 circulating inflammatory cytokines.Among these CSVD-driven inflammatory cytokines,growth-regulated oncogene alpha(GROα)was associated with poorer verbal and numerical reasoning,stem cell factor(SCF)was associated with better working memory,and tumor necrosis factor-alpha(TNF-α)was associated with reduced processing speed.SCF mediated the association between small-vessel ischemic stroke and numeric memory performance,with a mediation effect of 10%.Furthermore,circulating SCF levels showed causal relationships with the volumes of multiple brain regions within the default mode network and with the integrity of seven white matter tracts.Conclusion SCF,GROα,and TNF-α play important roles in the pathway linking CSVD to CI.Circulating SCF may influence cognitive function by modulating brain volume and white matter integrity. 展开更多
关键词 Cerebral small vessel disease Mendelian randomization Inflammation Cognitive impairment Neuroimaging
暂未订购 下载PDF
Impact of biochar particle size and content on small strain stiffness characteristics of amended expansive clay 认领 引用
11
作者 GAO Zhiao KONG Lingwei +4 位作者 WANG Yong QIN Hui SHANG Zhaowei LIN Huanwen ZHOU Yuan 《Journal of Mountain Science》 SCIE CSCD 2026年第7期3459-3476,共18页
Biochar-modified clay has garnered growing interest in geotechnical engineering,yet existing research has predominantly focused on swelling-shrinkage behavior,strength,and hydraulic conductivity,with comparatively lit... Biochar-modified clay has garnered growing interest in geotechnical engineering,yet existing research has predominantly focused on swelling-shrinkage behavior,strength,and hydraulic conductivity,with comparatively little attention given to stiffness evolution.This study systematically investigates the effects of biochar particle size(<0.075mm,0.075-0.425 mm,and 0.425-2 mm)and mass content(0%,5%,10%,and 15%)on the small-strain stiffness characteristics of amended expansive clay under varying effective consolidation stresses.Microstructural changes were examined using scanning electron microscopy(SEM)and mercury intrusion porosimetry(MIP).Results indicate that finer biochar particles markedly enhance initial stiffness but also accelerate its degradation with strain,whereas coarser particles attenuate stiffness reduction more slowly.Increasing biochar content generally promotes more brittle behavior.A modified Hardin-Drnevich model accurately captures the maximum shear modulus and its decay behavior across all biochar contents,with prediction errors within 15%.A logarithmic relationship between dimensionless confining pressure and reference shear strain reveals that higher confining pressures mitigate the influence of biochar content on normalized stiffness attenuation.Microstructural analyses show that fine biochar particles fill interaggregate pores,leading to a pronounced stiffening effect,while medium and coarse particles bond with soil particles through surface adsorption,enhancing stiffness via interparticle adhesion.These findings offer practical guidance for sustainable soil improvement strategies in mountain and slope environments,where stiffness-dependent deformation is critical. 展开更多
关键词 Biochar particle size Biochar content Expansive clay Small strain stiffness Microstructure
暂未订购 下载PDF
Development and characterization of a new wheat-rye T6BS.6BL-6RLKusmall segment translocation with powdery mildew resistance and potential breeding value 认领 引用
12
作者 Zongxiang Tang Ruiyu Zhang +4 位作者 Shuangjun Gong Guangrong Li Zujun Yang Wentao Dong Shulan Fu 《The Crop Journal》 SCIE CSCD 2026年第3期915-922,共8页
Rye(Secale cereale L.)contains numerous disease resistance genes that can be utilized for wheat(Triticum aestivum)improvement.For example,rye chromosome 6 carries powdery mildew resistance genes.Wheat-rye 6R transloca... Rye(Secale cereale L.)contains numerous disease resistance genes that can be utilized for wheat(Triticum aestivum)improvement.For example,rye chromosome 6 carries powdery mildew resistance genes.Wheat-rye 6R translocation lines are highly useful,but more wheat-rye 6R translocation lines with potential breeding value are needed.In this study,we identified a new wheat-rye T6 BS.6 BL-6 RLKutranslocation chromosome,conferring powdery mildew resistance,from the progeny of the irradiated wheat-rye 6 RLKuditelosomic addition line.Genotyping using the wheat GBW16K array and specific markers revealed that approximately 104.03 Mb of the distal segment of 6 RLKureplaced approximately6.1 Mb of the distal segment of the long arm of 6 B(6 BL)to form the translocation chromosome.OligoFISH painting indicated that the 104.03 Mb segment of 6 RLKuis homologous to homoeologous group 7 chromosomes.Using wheat cultivars Chuanmai 62(CM62)and Chuannong 32(CN32)as backcross parents,we transferred the T6 BS.6 BL-6 RLKuchromosome into the two wheat backgrounds.We selected two translocation lines:CM62-6 RL and CN32-6 RL.Genotyping analysis indicated that the CM62-6 RL and CN32-6 RL genomes are highly similar to those of CM62 and CN32,respectively.The grains of CM62-6 RL were shriveled,whereas those of CN32-6 RL were full.The effect of the T6 BS.6 BL-6 RLKuchromosome on grain width also depended on the genetic background of the wheat.The improved grain lengths of both CM62-6 RL and CN32-6 RL contributed to the improvement in their thousand-kernel weight.The translocation chromosome had no negative effects on other important agronomic traits.These findings highlight the potential breeding value of the wheat-rye 6R translocation chromosome T6 BS.6 BL-6 RLKu.The compensation mechanisms of this translocation chromosome in different wheat backgrounds deserve further study. 展开更多
关键词 Wheat Rye Chromosome 6R Powdery mildew Small segment translocation
暂未订购 下载PDF
Entropy-MIMR-LSTM framework for rain gauge network optimization in mountainous small watersheds:A case study of Fuhuxi Watershed,China 认领 引用
13
作者 CUI Yulong WU Hao +3 位作者 ZHENG Jun MA Xianchun HUANG Yongwei LI Qiang 《Journal of Mountain Science》 SCIE CSCD 2026年第5期2210-2227,共18页
Global climate change has intensified the frequency and severity of extreme rainfall events,thereby exacerbating flood disasters.To mitigate such risks,timely and accurate rainfall measurements are essential,yet cost-... Global climate change has intensified the frequency and severity of extreme rainfall events,thereby exacerbating flood disasters.To mitigate such risks,timely and accurate rainfall measurements are essential,yet cost-effectiveness must also be considered.However,many river basins—particularly mountainous small watersheds—suffer from poorly designed rain gauge networks,limiting real-time data acquisition.Existing optimization methods are largely developed for large river basins or plains and are not directly applicable to mountainous small watersheds,where rainfall exhibits strong spatial heterogeneity and gauge networks are sparse.To address this gap,this study takes the Fuhuxi Watershed of Mount Emei in Sichuan Province,Southwest China,as a case study and develops a collaborative optimization framework integrating information entropy,the Maximum Information Minimum Redundancy(MIMR)criterion,and Long Short-Term Memory(LSTM)networks.Specifically,we quantified the information entropy matrix of seven existing rain gauge stations and applied the MIMR criterion,resulting in the retention of five key stations.The optimized network preserves 99%of the effective rainfall information from the original seven stations while significantly reducing operational and maintenance costs.Using data from nine rainfall-induced flood events between 2018 and 2023,we developed an LSTM-based runoff simulation model.The optimized network,which removes stations with low information content and high redundancy,achieved excellent flood simulation accuracy.The study demonstrates that:(1)information entropy theory effectively interprets the spatial correlation and information redundancy of rain gauge stations in mountainous small watersheds;and(2)the LSTM model validates the feasibility of using an optimized rain gauge network to support highprecision flood simulations.Finally,we propose suggestions for future research,particularly regarding the optimization of rain gauge networks to improve the understanding of optimal network design and thereby enhance the accuracy of rainfall-runoff simulations. 展开更多
关键词 Mountainous small watershed Rain gauge network optimization Information entropy MIMR criterion LSTM Flood simulation
暂未订购 下载PDF
Development and validation of an interpretable machine learning model to predict high-risk patients with acute small bowel obstruction 认领 引用
14
作者 Yingsong Zhao Hongda Wang +9 位作者 Eryang Zhao Guangyu Zhao Junrong Zhang Sanyang Chen Yang Li Yong Zhao Wenfeng Zhuo Guozheng Lyu Ping Hu Gang Zhao 《World Journal of Emergency Medicine》 SCIE CAS CSCD 2026年第4期344-352,共9页
BACKGROUND:Small bowel obstruction(SBO) is a common emergency surgical disease for which identifying patients need emergency surgical resection due to nonviable small bowel tissue poses a significant challenge. This s... BACKGROUND:Small bowel obstruction(SBO) is a common emergency surgical disease for which identifying patients need emergency surgical resection due to nonviable small bowel tissue poses a significant challenge. This study aimed to develop and validate a predictive model to guide surgical decision-making using readily available clinical data.METHODS:A retrospective cohort study was conducted using data from Wuhan Union Hospital between 2017 and 2023 to establish the prediction model, with an external validation cohort from two other medical centers. Six machine learning algorithms(Logistic Regression[LR], Random Forest[RF], K Nearest-Neighbours[KNN], Multilayer Perceptron[MLP], Adaptive Boosting[AdaBoost]and eXtreme Gradient Boosting[XGBoost]) were employed, and the final model was based on LR classifier. Performance was evaluated with various metrics including AUC-ROC, accuracy,and decision curve analysis. SHapley Additive exPlanations(SHAP) method was used for model interpretation.RESULTS:High-risk and low-risk SBO groups differed significantly in clinical, laboratory,imaging, treatment, and outcome variables. Ten predictors were retained:white blood cell count,history of abdominal operation, platelet, albumin, neutrophil, spiral sign, acute bellyache, ascites,lymphocyte count, and rebound tenderness. After comparing the six algorithms, LR was selected because it showed the most consistent generalization and calibration. The final LR model achieved an AUC of 0.889(95%CI 0.855–0.923) in the training data, a mean cross-validation AUC of 0.876(95%CI 0.773–0.978), and an AUC of 0.873(95%CI 0.818–0.929) in the independent test set. In the external validation cohort from the two other medical centers, the model achieved an AUC of 0.762(95%CI 0.693–0.831).CONCLUSION:An interpretable machine learning model was developed and validated for prediction of high-risk SBO patients upon admission. The model may offer decision support for clinicians, aiding in risk stratification and guiding treatment strategies. 展开更多
关键词 Small bowel obstruction Machine learning Prediction model
暂未订购 下载PDF
Deep learning-enhanced prediction of small intestinal bleeding points using long short-term memory networks 认领 引用
15
作者 Hsin-Yu Kuo Kun-Hua Lee +6 位作者 Chu-Kuang Chou Arvind Mukundan Riya Karmakar Tsung-Hsien Chen Thong-Lin Wang Ping-Hung Liu Hsiang-Chen Wang 《World Journal of Gastroenterology》 SCIE CAS 2026年第15期88-101,共14页
BACKGROUND Small intestinal bleeding(SIB)remains a significant challenge in the diagnosis of obscure gastrointestinal bleeding.While capsule endoscopy(CE)is the gold standard for visualization,manual interpretation of... BACKGROUND Small intestinal bleeding(SIB)remains a significant challenge in the diagnosis of obscure gastrointestinal bleeding.While capsule endoscopy(CE)is the gold standard for visualization,manual interpretation of the extensive video footage is labor-intensive and subject to inter-observer variability.Although convolutional neural networks(CNNs)have improved lesion detection,standard models often fail to account for temporal continuity,limiting their ability to accurately predict the specific location of bleeding points within the small bowel.AIM To develop and validate a deep learning framework integrating CNNs with long short-term memory(LSTM)networks to enhance the automated detection and precise localization of SIB.METHODS This study employed two datasets for automated bleeding detection:One from Cheng Kung University,consisting of white light imaging images from 100 patients obtained via PillCamTMSB 3 CE,and the Kvasir-Capsule Image dataset,which includes 47238 labeled images across 14 pathological categories.Nineteen continuous picture sequences were recovered,comprising 3806 bleeding photos and 3275 non-bleeding images.RESULTS Data augmentation was implemented,utilizing CNNs for feature extraction,succeeded by long short-term memory networks for prediction.The CNN model attained an accuracy of 98.6%for 10 categories and 96.7%for 2 categories.Findings demonstrate that CNN-LSTM models exhibit superior performance with expanded category sets.CONCLUSION These findings underscore the capability of deep learning models to enhance the accuracy and efficiency of CEbased gastrointestinal bleeding diagnosis,hence facilitating improved clinical decision-making. 展开更多
关键词 Capsule endoscopy Small intestinal bleeding Convolutional neural networks Long short-term memory networks Temporal modeling
暂未订购 下载PDF
A Retrospective Real-World Study:The Efficacy and Safety of Immune Checkpoint Inhibitors Combined with Chemoradiotherapy in Limited-Stage Small Cell Lung Cancer 认领 引用
16
作者 Ruoxue Cai Shuyi Hu +3 位作者 Feiyang Li Huanhuan Sha Guoren Zhou Ying Fang 《Oncology Research》 SCIE 2026年第2期473-485,共13页
Objective:To determine whether immunotherapy can bring new hope for patients with limited-stage small-cell lung cancer(LS-SCLC).We conducted this retrospective study to evaluate whether immunotherapy can achieve bette... Objective:To determine whether immunotherapy can bring new hope for patients with limited-stage small-cell lung cancer(LS-SCLC).We conducted this retrospective study to evaluate whether immunotherapy can achieve better efficacy in LS-SCLC patients.Methods:We evaluated 122 LS-SCLC patients who received concurrent chemoradiotherapy(CCRT)or sequential chemoradiotherapy(SCRT)(Group A)and immunotherapy combined with CCRT/SCRT followed by immunotherapy(Group B),to assess the objective response rate(ORR),disease control rate(DCR),and progression-free survival(PFS).Factors affecting prognosis were also explored using Cox analysis.The prognosis of patients with type 2 diabetes and patients with different TNM stages was compared to guide the selection of clinical regimens.Results:The overall ORR was 55.93%.The overall DCR was 98.31%.The DCR was 100%in Group A and 96.61%in Group B.There was no statistical difference in ORR and DCR.The overall median PFS was 9.86 months(95%CI,8.62-11.10),and the difference in median PFS between the two groups was statistically significant(8.94 vs.11.89 months,p=0.03).The Cox regression analysis showed type 2 diabetes was associated with the survival prognosis.Patients with type 2 diabetes tended to choose immunotherapy combined with CCRT/SCRT.Patients in TNM stage IIIB had a significantly worse prognosis than those in stage I+II+IIIA.Conclusion:We suggest that LS-SCLC patients who receive immunotherapy combined with CCRT/SCRT can achieve longer PFS than those with CCRT/SCRT.Type 2 diabetes and TNM stage affect the survival prognosis.Patients with type 2 diabetes may benefit from immunotherapy combination treatments. 展开更多
关键词 Limited-stage small cell lung cancer immunotherapy chemoradiotherapy TNM stage type 2 diabetes
暂未订购 下载PDF
Diagnostic clues in patients with clinical malabsorption and pathological small intestinal villous atrophy:Immune-mediated type and beyond 认领 引用
17
作者 Mu-Han Li Qi-Pu Wang +9 位作者 Cheng-Zhu Ou Tian-Ming Xu Yang Chen Hao Tang Yan Zhang Yan-Jun Lai Xu-Zhen Qin Ji Li Wei-Xun Zhou Jing-Nan Li 《World Journal of Gastroenterology》 SCIE CAS 2026年第2期37-58,共22页
Small intestinal villi are essential for nutrient absorption,and their impairment can lead to malabsorption.Small intestinal villous atrophy(VA)encompasses a heterogeneous group of disorders,including immune-mediated ... Small intestinal villi are essential for nutrient absorption,and their impairment can lead to malabsorption.Small intestinal villous atrophy(VA)encompasses a heterogeneous group of disorders,including immune-mediated conditions(e.g.,celiac disease,autoimmune enteropathy,inborn errors of immunity),lymphoproliferative disorders(e.g.,enteropathy-associated T-cell lymphoma),infectious causes(e.g.,tropical sprue,Whipple’s disease),iatrogenic factors(e.g.,Olmesartanassociated enteropathy,graft-vs-host disease),as well as inflammatory and idiopathic types.These disorders are often rare and challenging to distinguish due to overlapping clinical,serological,endoscopic,and histopathological features.Through a systematic literature search using keywords such as small intestinal VA,malabsorption,and specific enteropathies,this review provides a comprehensive overview of diagnostic clues for VA and malabsorption.We systematically summarize the pathological characteristics of each condition to assist pathologists and clinicians in accurately identifying the underlying etiologies.Current studies still have many limitations and lack broader and deeper investigations into these diseases.Therefore,future research should focus on the development of novel diagnostic tools,predictive models,therapeutic targets,and mechanistic molecular studies to refine both diagnosis and management strategies. 展开更多
关键词 Autoimmune enteropathy Celiac disease Diagnosis Inborn errors of immunity Malabsorption Pathology Small intestinal villous atrophy disorder
暂未订购 下载PDF
Energy‑Efficient Hydrogen Production via Coupled Small‑Molecule Oxidation at Industrial Current Densities 认领 引用
18
作者 Jiajing Wu Guangqing Wang +7 位作者 Xikun Wang Weixiang Guan Delong Wang Xirui Xi Jiaqi Liu Feng Fu Ruan Chi Chunming Yang 《Transactions of Tianjin University》 EI CAS 2026年第2期193-218,共26页
The anodic small-molecule electrooxidation reaction,which is both thermodynamically and kinetically more favorable than the oxygen evolution reaction,when coupled with the hydrogen evolution reaction,has garnered incr... The anodic small-molecule electrooxidation reaction,which is both thermodynamically and kinetically more favorable than the oxygen evolution reaction,when coupled with the hydrogen evolution reaction,has garnered increasing attention and achieved significant progress.This method presents a promising avenue for hydrogen production at industrial current densities(≥200 mA/cm2)via water electrolysis while enabling the synthesis of value-added products or the removal of pollutants.However,the correlations among anode small-molecule types,catalyst design,reaction mechanisms,and electrolytic cell configuration remain unclear at industrial current densities.In this review,the characteristics and challenges of hydrogen production via coupling with various small-molecule oxidation reactions at industrial current densities are discussed for the first time,emphasizing key advances in catalyst design–substrate correlations,reaction mechanisms,and electrolytic cell configuration.Additionally,the challenges and future prospects of this field are explored. 展开更多
关键词 Small molecule oxidation Catalysts design Reaction mechanism Industrial current densities
暂未订购 下载PDF
GPR-based model validation method for small samples 认领 引用
19
作者 YANG Fan MA Ping +2 位作者 ZHANG Huan LI Wei YANG Ming 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第3期867-877,共11页
Validation for simulation models often confronts challenges with small samples due to the costs of time and money.To address this issue,this paper presents a validation method for small-sample dynamic outputs based on... Validation for simulation models often confronts challenges with small samples due to the costs of time and money.To address this issue,this paper presents a validation method for small-sample dynamic outputs based on Gaussian process regression(GPR)models.Firstly,a validation framework based on Bayes statistics is proposed,shifting the focus from merely analyzing validation data to a more comprehensive analysis of posterior distributions.Subsequently,the posterior distributions of both the simulation outputs and the reference data are separately captured through segmented GPR.Then,the consistency of these posterior distributions is evaluated in terms of the central tendency and the distribution range.This consistency serves as a quantitative measure of the simulation model's credibility,expressed as a value ranging from 0 to 1,where a value closer to 1 indicates higher credibility.Finally,the effectiveness of this validation method is demonstrated through a numerical example and an application example,highlighting its capability in uncertainty description and adaptability to small samples. 展开更多
关键词 model validation small samples Gaussian process regression(GPR) Bayes statistics
暂未订购 下载PDF
Analysis of temperature-induced dominant mode transition and transgranular small fatigue crack propagation behavior in FGH96 认领 引用
20
作者 Guo Li Wanqiu Lu Shuiting Ding 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第2期252-263,共12页
In-situ experiments were carried out using the powder metallurgy superalloy FGH96 to observe the evolution of small fatigue cracks under different thermal and mechanical loading scenarios.Electron backscatter diffract... In-situ experiments were carried out using the powder metallurgy superalloy FGH96 to observe the evolution of small fatigue cracks under different thermal and mechanical loading scenarios.Electron backscatter diffraction was subsequently employed to assist in the analysis of how changes in temperature and stress levels influence the growth behavior of small fatigue cracks.The influence mechanisms of crystallographic parameters(Schmid factor and geometric compatibility factor)on small fatigue crack propagation were quantitatively examined.During the study,a temperature-induced transition in the dominant crack propagation mode was observed in FGH96,occurring between 600 and 700℃.Specifically,the dominant mode changed from transgranular to intergranular propagation.Within the temperature range from room temperature to 600℃,neither temperature nor applied stress level showed a noticeable effect on the relationship between the Schmid factor of the activated slip system and the maximum Schmid factor.Under these conditions,small fatigue cracks followed a consistent propagation mechanism governed by the Schmid factor.The Schmid factor emerged as a key parameter in controlling the transgranular propagation behavior of small fatigue cracks in FGH96,whereas the role of the geometric compatibility factor appeared to be limited. 展开更多
关键词 Temperature-induced propagation mode transition Small crack propagation Crystallographic mechanism FGH96
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈