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Journal of Oceanology and Limnology 2025年第1期43卷 286-298页

作者： Du luo Dingtian yang South China Sea Institute of Oceanology Chinese Academy of SciencesGuangzhou 510301China Pearl River Fisheries Research Institute Chinese Academy of Fishery SciencesGuangzhou 510380China University of Chinese Academy of Sciences Beijing 100049China

Salinity is recognized as a pivotal factor limiting the migration of freshwater fish to brackish *** largemouth bass(LMB,Micropterus salmoides),a globally translocated freshwater fish,exhibits estuarine distribution,yet its hyperosmoregulatory capacity during early ontogenetic stages remains inadequately *** investigate the impact of freshwater salinization,a series of experiments were conducted in Guangzhou and Foshan,*** reveal that freshwater-activated mature eggs and naturally fertilized oocytes maintained nearly identical osmotic homeostasis,with diameters of 1.38±0.07 mm and 1.37±0.05 mm,***,both exhibited peak water excretion at a salinity of ***,a reduction in water permeability was observed in hyperosmotic *** hatching rates increased from 27.5%±14.4%in the 1.0 group to 75.1%±12.0%in the 6.0 group under fluctuating temperature ***-sac LMB larvae consistently reduced survival time from 12.5 d at 1.0 to 50.7±2.1 min at salinity of ***,more developed larvae also experienced a decrease in survival *** regression models fitting lethal time with salinity indicated a sharp decrease between 10.0 and *** findings offer practical insights for predicting distribution patterns and enhancing aquaculture technology for ***,they may contribute theoretically to the broader understanding of the osmoregulatory mechanisms of freshwater fish.

关键词： osmotic homeostasis acute toxicity median lethal time hatching rate dose-response model

Axial emission characteristics of an ionic liquid electrospray thruster with a circular emitter

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Chinese Journal of Aeronautics 2025年第1期38卷 297-305页

作者： Cheng yang Jiawei luo Xiangbei WU Yan SHEN School of Aeronautics and Astronautics Sun Yat-sen UniversityShenzhen 518107China Shenzhen Key Laboratory of Intelligent Microsatellite Constellation Shenzhen 518107China

Ionic Liquid Electrospray Thrusters(ILETs)are well suited for micro-nano satellite applications due to their small size,low power consumption,and high specific ***,the limited thrust of a single-emitter ILET restricts its use in space *** optimize the performance of ILETs and make them suitable for a wider range of space missions,we designed a Circular-emitter ILET(CILET)to convert a one-dimensional(point)emission into a twodimensional(line)*** CILET can self-organize multiple Taylor cones *** cones were photographed and the axial emission currents were measured under different voltage and pressure difference conditions with a CILET experimental *** emission can be divided into two stable states and one unstable state based on the flow and current *** current in Stable state Ⅰ increases non-linearly with the voltage,while that in Stable state Ⅱ is nearly linear with respect to the *** number of cones increases with the voltage in stable states,while the cones become short and crowded under high-voltage *** variation law of the number of cones can be explained with the self-organization *** variation in the current exhibits a good correlation with the number of *** study demonstrates the feasibility of circular emitters and experimentally indicates that the emission current is improved by approximately two orders of magnitude compared to that of a single capillary.

关键词： Electrospray Ionic liquid thruster Self-organize Emitter Taylor cone

Mechanism of AsperosaponinⅥRelated to EGFR/MMP9/AKT/PI3K Pathway in Treatment of Rheumtoid Arthritis

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Chinese Journal of Integrative Medicine 2025年第2期31卷 131-141页

作者： luo Jin-fang YU yang LIU Jian-xin School of Basic Medicine Guizhou University of Traditional Chinese MedicineGuiyang(550025)China Sino-Pakistan Center on Traditional Chinese Medicine China-Pakistan International Science and Technology Innovation Cooperation Base for Ethnic Medicine Development in Hunan ProvinceSchool of Pharmaceutical SciencesHunan University of MedicineHuaihua CityHunan Province(418000)China

Objective:To explore the mechanism of action of asperosaponinⅥ(AⅥ)in the treatment of rheumatoid arthritis(RA)and validate it in ex vivo experiments using network pharmacology and molecular docking ***:The predicted targets of AⅥwere obtained from PharmMaper,UniProt and Swiss Target Prediction platforms,the disease targets were collected from Online Mendelian Inheritance in Man,Therapeutic Target Database and Gene Cards databases,the intersection targets of AⅥand RA were obtained from Venny 2.1.0,and the protein-protein interaction(PPI)network was obtained from STRING database,which was analyzed by Cytoscape software and screened to obtain the core *** software was used to analyze PPI network and screen the core *** on the Database for Annotation,Visualization and Integrated Discovery database,Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed,and Cytoscape software was used to construct the"DiseasePathway-Target-Drug"network,which was finally verified by molecular docking and animal ***:Network pharmacological studies showed that AⅥwas able to modulate 289 targets,with 102 targets for the potential treatment of RA,with the core pathway being the AKT/PI3K signaling pathway,and the core targets being the epidermal growth factor receptor(EGFR)and matrix metalloproteinase 9(MMP9).Molecular docking results showed that AⅥcould produce strong binding with both of the 2 core *** vitro cellular experiments showed that AⅥreduced nitric oxide,prostaglandin E_2,tumor necrosis factor-alpha(TNF-α),interleukin-6(IL-6),and IL-1βlevels(P<0.05)and inhibited cyclooxygenase-2,nitric oxide synthase,EGFR,MMP9,phosphorylated phosphoinositide 3-kinase(p-PI3K),and phosphorylated serine-threonine kinase(p-AKT)proteins(P<0.05).The results of in vivo studies showed that AⅥimproved RA score and foot swelling thickness and decreased TNF-α,IL-6,p-PI3K and p-AKT levels in RA rat

关键词： inflammation rheumatoid arthritis network pharmacology asperosaponinⅥ EGFR/MMP9/AKT/PI3K pathway

Evaluation of surgical strategy for low anterior resection syndrome using preoperative low anterior resection syndrome score in China

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World Journal of Gastrointestinal Surgery 2025年第1期17卷 175-183页

作者： yang-Tao Pan Yi-Min Lv Shi-chao Zhou Dan-Yan luo Hao Sun Wei-Feng Lao Wei Zhou Department of Colorectal Surgery Sir Run Shaw Hospital Affiliated with Zhejiang UniversityHangzhou 310016Zhejiang ProvinceChina School of Mathematics Nanjing Audit UniversityNanjing 211815Jiangsu ProvinceChina Department of Surgery Zhejiang Hospital of Traditional Chinese Medicine(Zhejiang University of Traditional Chinese Medicine First Affiliated Hospital)Hangzhou 310000Zhejiang ProvinceChina NBU Health Science Center Ningbo UniversityNingbo 315000Zhejiang ProvinceChina

BACKGROUND Despite improved survival rates in rectal cancer treatment,many patients experience low anterior resection syndrome(LARS).The preoperative LARS score(POLARS)aims to address the limitations of LARS assessment by predicting outcomes preoperatively to enhance surgical *** To investigate the predictive accuracy of POLARS in assessing the occurrence of *** This study enrolled a total of 335 patients who underwent laparoscopic or robotic low anal sphincter-preserving surgery for rectal *** were categorized into three groups according to their POLARS score:no LARS(score 0-20),minor LARS(score 21-29),and major LARS(score 30-42).The QLQ-C30/CR29 scores were compared among these groups,and the agreement between POLARS predictions and the actual LARS scores was *** The study population was divided into three groups:major LARS(n=51,27.42%),minor LARS(n=109,58.6%),and no LARS(n=26,13.98%).Significant differences in the QLQ-C30 scales of social function,diarrhea,and financial impact were detected between the no LARS and major LARS groups(P<0.05)and between the minor LARS and major LARS groups(P<0.05).Similarly,significant differences were detected in the QLQ-CR29 scales for blood and mucus in the stool,fecal incontinence,and stool frequency between the no LARS and minor LARS groups(P<0.05),as well as between the minor LARS and major LARS groups(P<0.05).The predictive precision for major LARS using the POLARS score was 82.35%(42/51),with a recall of 35.89%(42/117).The mean absolute error(MAE)between the POLARS score and the actual LARS score was 8.92±*** contrast,the XGBoost(extreme gradient boosting)model achieved a lower MAE of 6.29±4.77,with a precision of 84.39%and a recall of 74.05%for predicting major *** The POLARS score demonstrated effectiveness and precision in predicting major LARS,thereby providing valuable insights into postoperative symptoms and patient quality of ***,the XGBoost model exh

关键词： Low anterior resection syndrome Preoperative assessment Predictive Accuracy Quality of life Machine learning

Supramolecular Ion Channel with Controlled K+/Na+Transport Behaviors

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Chemical Research in Chinese Universities 2025年第1期41卷 95-100页

作者： HE Lei luo Yichen ZHANG yang YAN Tengfei LIU Junqiu College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material Technology of Ministry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceHangzhou Normal UniversityHangzhou310036P.R.China

Dysfunction of ion channels,often caused by mutations in natural proteins,can lead to various *** artificial analogs have shown great promise to substitute the abnormal ***,we report a supramolecular potassium channel that forms through the self-assembly of pyrene-crown ether conjugated by intermolecularπ-π*** self-assembled dimer of this channel was optimized and calculated to have a binding energy of−27.4 kcal/mol(1 kcal=4.18 kJ).Evidence for the formation of an active ion channel by PC5 was confirmed using a planar lipid bilayer(BLM)workstation,while no such activity was observed for *** K+/Na+selectivity was reversed in the reduced form,R-PC5,due to the elimination of the planar structure of PC5,resulting in R-PC5 functioning as a Na+***,incorporating the pyrene group facilitates imaging in living cells,providing a potentially viable method for investigating the behaviors of artificial ion channels in living systems.

关键词： Crown ether Pyrene Ion transport Self-assembly

Targeting capabilities of engineered extracellular vesicles for the treatment of neurological diseases

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Neural Regeneration Research 2025年第11期20卷 3076-3094页

作者： Xinyu yang Xiangyu Gao Xiaofan Jiang Kangyi Yue Peng luo Department of Neurosurgery Xijing HospitalFourth Military Medical UniversityXi’anShaanxi ProvinceChina

Recent advances in research on extracellular vesicles have significantly enhanced their potential as therapeutic agents for neurological *** to their therapeutic properties and ability to cross the blood–brain barrier,extracellular vesicles are recognized as promising drug delivery vehicles for various neurological conditions,including ischemic stroke,traumatic brain injury,neurodegenerative diseases,glioma,and ***,the clinical application of natural extracellular vesicles is hindered by their limited targeting ability and short clearance from the *** address these limitations,multiple engineering strategies have been developed to enhance the targeting capabilities of extracellular vesicles,thereby enabling the delivery of therapeutic contents to specific tissues or ***,this review aims to highlight the latest advancements in natural and targeting-engineered extracellular vesicles,exploring their applications in treating traumatic brain injury,ischemic stroke,Parkinson's disease,Alzheimer's disease,amyotrophic lateral sclerosis,glioma,and ***,we summarized recent clinical trials involving extracellular vesicles and discussed the challenges and future prospects of using targeting-engineered extracellular vesicles for drug delivery in treating neurological *** review offers new insights for developing highly targeted therapies in this field.

关键词： Alzheimer's disease amyotrophic lateral sclerosis engineered extracellular vesicles glioma ischemic stroke neurological diseases Parkinson's disease psychosis targeted drug delivery traumatic brain injury

Stochastic Augmented-Based Dual-Teaching for Semi-Supervised Medical Image Segmentation

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Computers, Materials & Continua 2025年第1期82卷 543-560页

作者： Hengyang Liu yang Yuan Pengcheng Ren Chengyun Song Fen luo School of Computer Science and Engineering Chongqing University of TechnologyChongqing400054China College of Artificial Intelligence Chongqing Technology and Business UniversityChongqing400067China

Existing semi-supervisedmedical image segmentation algorithms use copy-paste data augmentation to correct the labeled-unlabeled data distribution ***,current copy-paste methods have three limitations:(1)training the model solely with copy-paste mixed pictures from labeled and unlabeled input loses a lot of labeled information;(2)low-quality pseudo-labels can cause confirmation bias in pseudo-supervised learning on unlabeled data;(3)the segmentation performance in low-contrast and local regions is less than *** design a Stochastic Augmentation-Based Dual-Teaching Auxiliary Training Strategy(SADT),which enhances feature diversity and learns high-quality features to overcome these *** be more precise,SADT trains the Student Network by using pseudo-label-based training from Teacher Network 1 and supervised learning with labeled data,which prevents the loss of rare labeled *** introduce a bi-directional copy-pastemask with progressive high-entropy filtering to reduce data distribution disparities and mitigate confirmation bias in *** the mixed images,Deep-Shallow Spatial Contrastive Learning(DSSCL)is proposed in the feature spaces of Teacher Network 2 and the Student Network to improve the segmentation capabilities in low-contrast and local *** this procedure,the features retrieved by the Student Network are subjected to a random feature perturbation *** two openly available datasets,extensive trials show that our proposed SADT performs much better than the state-ofthe-art semi-supervised medical segmentation *** only 10%of the labeled data for training,SADT was able to acquire a Dice score of 90.10%on the ACDC(Automatic Cardiac Diagnosis Challenge)dataset.

关键词： Semi-supervised medical image segmentation contrastive learning stochastic augmented

GPU-Enabled Isogometric Topology Optimization with Bezier Element Stiffness Mapping

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Computer Modeling in Engineering & Sciences 2025年第2期142卷 1481-1514页

作者： Xuesong Li Shuting Wang Nianmeng luo Aodi yang Xing Yuan Xianda Xie School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan430074China School of Advanced Manufacturing Nanchang UniversityNanchang330031China

Due to the high-order B-spline basis functions utilized in isogeometric analysis(IGA)and the repeatedly updating global stiffness matrix of topology optimization,Isogeometric topology optimization(ITO)intrinsically suffers from the computationally demanding *** this work,we address the efficiency problem existing in the assembling stiffness matrix and sensitivity analysis using B˙ezier element stiffness *** Element-wise and Interaction-wise parallel computing frameworks for updating the global stiffness matrix are proposed for ITO with B˙ezier element stiffness mapping,which differs from these ones with the traditional Gaussian integrals *** the explicit stiffness computation formula derived from B˙ezier element stiffness mapping possesses a typical parallel structure,the presented GPU-enabled ITO method can greatly accelerate the computation speed while maintaining its high memory efficiency *** examples demonstrate threefold speedup:1)the assembling stiffness matrix is accelerated by 10×maximumly with the proposed GPU strategy;2)the solution efficiency of a sparse linear system is enhanced by up to 30×with Eigen replaced by AMGCL;3)the efficiency of sensitivity analysis is promoted by 100×with GPU ***,the proposed method is a promising way to enhance the numerical efficiency of ITO for both single-patch and multiple-patch design problems.

关键词： Isogeometric analysis topology optimization GPU sparse system solver B˙ezier element stiffness mapping

Improving the Seasonal Forecast of Summer Precipitation in Southeastern China Using a CycleGAN-based Deep Learning Bias Correction Method

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Advances in Atmospheric Sciences 2025年第1期42卷 26-35页

作者： Song yang Fenghua LING Jing-Jia luo Lei BAI Institute of Climate Application Research(ICAR)/School of Future Technology/CIC-FEMD/KLME/ILCEC Nanjing University of Information Science and TechnologyNanjing 210044China Shanghai Artificial Intelligence Laboratory Shanghai 200232China

Accurate seasonal precipitation forecasts,especially for extreme events,are crucial to preventing meteorological hazards and their potential impacts on national development,social activity,and ***,the intensity of summer precipitation is often largely underestimated in many current dynamic *** study uses a deep learning method called Cycle-Consistent Generative Adversarial Networks(CycleGAN)to improve the seasonal forecasts for June-JulyAugust precipitation in southeastern China by the Nanjing University of Information Science and Technology Climate Forecast System(NUIST-CFS 1.0).The results suggest that the CycleGAN-based model significantly improves the accuracy in predicting the spatiotemporal distribution of summer precipitation compared to the traditional quantile mapping(QM)*** the unpaired bias-correction model,we can also obtain advanced forecasts of the frequency,intensity,and duration of extreme precipitation events over the dynamic model *** study expands the potential applications of deep learning models toward improving seasonal precipitation forecasts.

关键词： bias correction CycleGAN QM NUIST-CFS 1.0 extreme precipitation

Extracting ship and heading from Sentinel-2 images using convolutional neural networks with point and vector learning

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Journal of Oceanology and Limnology 2025年第1期43卷 16-28页

作者： Xiunan LI Peng CHEN Jingsong yang Wentao AN Dan luo Gang ZHENG Aiying LU Ocean College Zhejiang UniversityZhoushan 316021China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China National Satellite Ocean Application Service Ministry of Natural ResourcesBeijing 100081China

Obtaining accurate ship positions and headings in remote sensing images plays a crucial role in various ***,current deep learning-based methods primarily focus on ship position detection,while the detection of ship wakes relies on traditional non-deep learning approaches,which often underperform in complex marine *** proposed a novel,simple,and efficient method called Point-Vector *** proposed method leverages convolutional neural networks(CNN)for feature extraction and subsequently integrates multi-scale features to generate high-resolution feature *** the final stage,ship positions and headings are represented using a combination of points and *** experiments with results from automatic identification system(AIS)reports demonstrate that our method achieved impressive performance in two-class ship target detection,with an average precision of 96.4%,recall rate of 94.3%,and an F 1 score of 95.2%.Notably,the average heading error was 3.3°.The proposed model achieved a practical inference speed(FPS>30),and the average processing time for inferring a large-scale Sentinel-2 remote sensing image was 11.4 s.

关键词： deep learning ship detection heading remote sensing Sentinel-2