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Transcriptome profiling and RXR gene family identification reveals the molecular mechanism of rapid aging after spawning of cuttlefish Sepiella japonica

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Journal of oceanology and Limnology 2024年第3期42卷 865-880页

作者： Zhenyu DONG Jiemei ZHAO Feng GUO Shuangrui LIN Huai YANG Yingying YE Changfei CHI Hongfei LI Baoying GUO College of Marine science and Technology Zhejiang Ocean UniversityZhoushan 316022China National Engineering Research Center for Marine Aquaculture Zhejiang Ocean UniversityZhoushan 316022China Donghai Laboratory Zhoushan 316021China

Sepiella japonica is a worldwide marine cuttlefish species of high economic *** routinely modifying behaviors in reproductive life,such as rapid aging until death after spawning,has been recognized in artificial ***,reproductive behavior at the level of genes is rarely reported,thus,the research on the genetic basis of behavior,reproduction,and artificial breeding was *** applied RNA-seq in different stages of reproduction to investigate the reason of rapid aging after spawning,pre-maturity,pre-spawning after maturity,and *** retinoid X receptor(RXR)gene family in *** was identified,and 1343–1452 differentially expressed genes(DEGs)in all 3 stages of reproductive life were identified from pairwise m RNA ***,through the GO term and KEGG analysis,*** could handle neuronal development and network formation before maturity and have a functional degradation of neural communication,signal transduction,vision,and gene expression after *** Sj RXRαs have been identified and they played different roles in growth development or ***,the regulation of several channels and receptors is the intrinsic molecular mechanism of rapid aging after spawning in *** study revealed the survival strategy and provided fundamental data on the level of genes for understanding the reproductive behavior and the reproduction of ***.

关键词： Sepiella japonica RAN-seq retinoid X receptor(RXR)gene family rapid aging intrinsic molecular mechanism

Variability of the Pacific subtropical cells under global warming in CMIP6 models

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Journal of oceanology and Limnology 2024年第1期42卷 24-40页

作者： Xue HAN Junqiao FENG Yunlong LU Dunxin HU Key Laboratory of ocean Circulation and Waves Chinese Academy of SciencesQingdao 266071China Institute of oceanology Chinese Academy of SciencesQingdao 266071China University of Chinese Academy of sciences Beijing 100049China Center for ocean Mega-science Chinese Academy of SciencesQingdao 266071China Laboratory for ocean Dynamics and Climate Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China

The Pacific subtropical cells(STCs)are shallow meridional overturning circulations connecting the tropics and subtropics,and are assumed to be an important driver of the tropical Pacific decadal *** variability of STCs under global warming is investigated using multimodal outputs from the latest phase of the Coupled Model Inter-comparison Project(CMIP6)and ocean reanalysis ***,the volume transport diagnostic analysis is employed to evaluate how coupled models and ocean reanalysis products reproduce interior STC *** variation of heat transport by the interior STC under the high-emissions warming scenarios is also *** results show that the multimodal-mean linear trends of the interior STC transport along 9°S and 9°N are-0.02 Sv/a and 0.04 Sv/a under global warming,respectively,which is mainly due to the combined effect of the strengthened upper oceanic stratification and the weakening of wind *** is a compensation relationship between the interior STC and the western boundary transport in the future climate,and the compensation relationship of 9°S is more significant than that of 9°*** addition,compared with ocean reanalysis products,the coupled models tend to underestimate the variability of the interior STC transport convergence,and thus may lose some sea surface temperature(SST)driving force,which may be the reason for the low STC-SST correlation simulated by the *** future scenario simulation shows that the heat transport of interior STC is weakened under global warming,with a general agreement across models.

关键词： interior subtropical cell(STC) global warming Coupled Model Inter-comparison Project(CMIP6) western boundary transport

Large-scale particle trapping by acoustic vortices with a continuously variable topological charge

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Chinese Physics B 2024年第7期33卷 398-406页

作者：庄昊霏张清源胡格昊王青东杜立彬 College of ocean science and Engineering Shandong University of Science and TechnologyQingdao 266590China Department of Radiology the Affiliated Hospital of Qingdao UniversityQingdao 266000China College of Electronic and Information Engineering Shandong University of Science and TechnologyQingdao 266590China

Strengthened directivity with higher-order side lobes can be generated by the transducer with a larger radius at a higher frequency. The multi-annular pressure distributions are displayed in the cross-section of the acoustic vortices(AVs)which are formed by side lobes. In the near field, particles can be trapped in the valley region between the two annuli of the pressure peak, and cannot be moved to the vortex center. In this paper, a trapping method based on a sector transducer array is proposed, which is characterized by the continuously variable topological charge(CVTC). This acoustic field can not only enlarge the range of particle trapping but also improve the aggregation degree of the trapped particles. In the experiments, polyethylene particles with a diameter of 0.2 mm are trapped into the multi-annular valleys by the AV with a fixed topological charge. Nevertheless, by applying the CVTC, particles outside the radius of the AV can cross the pressure peak successfully and move to the vortex center. Theoretical studies are also verified by the experimental particles trapping using the AV with the continuous variation of three topological charges, and suggest the potential application of large-scale particle trapping in biomedical engineering.

关键词： acoustic vortices sector transducer array trapping particle continuously variable topological charge

A novel complex-high-order graph convolutional network paradigm:ChyGCN

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Chinese Physics B 2024年第5期33卷 665-672页

作者：郑和翔苗书宇顾长贵 Business School University of Shanghai for Science and TechnologyShanghai 200093China Ant group Shanghai 200000China

In recent years,there has been a growing interest in graph convolutional networks(GCN).However,existing GCN and variants are predominantly based on simple graph or hypergraph structures,which restricts their ability to handle complex data correlations in practical *** limitations stem from the difficulty in establishing multiple hierarchies and acquiring adaptive weights for each of *** address this issue,this paper introduces the latest concept of complex hypergraphs and constructs a versatile high-order multi-level data correlation *** model is realized by establishing a three-tier structure of ***,we start by establishing hyperedge clusters on a foundational network,utilizing a second-order hypergraph structure to depict potential *** this second-order structure,truncation methods are used to assess and generate a three-layer composite *** the construction of the composite structure,an adaptive learning strategy is implemented to merge correlations across different *** evaluate this model on several popular datasets and compare it with recent state-of-the-art *** comprehensive assessment results demonstrate that the proposed model surpasses the existing methods,particularly in modeling implicit data correlations(the classification accuracy of nodes on five public datasets Cora,Citeseer,Pubmed,Github Web ML,and Facebook are 86.1±0.33,79.2±0.35,83.1±0.46,83.8±0.23,and 80.1±0.37,respectively).This indicates that our approach possesses advantages in handling datasets with implicit multi-level structures.

关键词： raph convolutional network complex modeling complex hypergraph

Combinatorial Optimization of Physics Parameterization Schemes for Typhoon Simulation Based on a Simple Genetic Algorithm(SGA)

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Journal of Meteorological Research 2024年第1期38卷 10-26页

作者： Zebin LU Jianjun XU Zhiqiang CHEN Jinyi YANG Jeremy Cheuk-Hin LEUNG Daosheng XU Banglin ZHANG China Meteorological Administration–Guangdong ocean University Joint Laboratory for Marine Meteorology South China Sea Institute of Marine MeteorologyGuangdong Ocean UniversityZhanjiang 524088 College of ocean and Meteorology Guangdong Ocean UniversityZhanjiang 524088 Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction China Meteorological AdministrationGuangzhou 510640 Shenzhen Institute of Guangdong ocean University Shenzhen 518120 College of Atmospheric science Lanzhou UniversityLanzhou 730000

Each physical process in a numerical weather prediction(NWP)system may have many different parameterization *** studies have shown that the performance of different physical parameterization schemes varies with the weather situation to be ***,it is necessary to select a suitable combination of physical parameterization schemes according to the variation of weather ***,it is rather difficult to identify an optimal combination among millions of possible parameterization scheme *** study applied a simple genetic algorithm(SGA)to optimizing the combination of parameterization schemes in NWP models for typhoon *** feasibility of SGA was verified with the simulation of Typhoon Mujigae(2015)by using the Weather Research and Forecasting(WRF)model and Typhoon Higos(2020)by using the Coupled ocean–Atmosphere–Wave–Sediment Transport(COAWST)modeling *** results show that SGA can efficiently obtain the optimal combination of *** Typhoon Mujigae(2015),the optimal combination can be found from the 1,304,576 possible combinations by running only 488 *** results can be obtained for Typhoon Higos(2020).Compared to the default combination proposed by the COAWST model system,the optimal combination scheme significantly improves the simulation of typhoon track and *** study provides a feasible way to search for the optimal combinations of physical parameterization schemes in WRF and COAWST for more accurate typhoon *** can help provide references for future development of NWP models,and for analyzing the coordination and adaptability of different physical process parameterization schemes under specific weather backgrounds.

关键词： simple genetic algorithm(SGA) combinatorial optimization typhoon forecast numerical weather prediction(NWP)

iTRAQ-based Quantitative Proteomic Profiling of the Regulatory Mechanisms on Immune Functions and Blood Lipids in Aged Mice Fed with Lentinula edodes-Derived Polysaccharides

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Food science and Human Wellness 2024年

作者： Xiaofei Xu Xiaofei Liu Jin Chen Jingjing Guan Donghui Luo College of Food science and Engineering Guangdong ocean University

The mechanisms of mushroom polysaccharides on immune functions and lipid metabolism of aged mammals have not been fully elucidated. In the present study， after assessing the impacts of one type of Lentinula edodes-derived polysaccharides， named L2， on immune functions and blood lipid profiles， isobaric tags for relative and absolute quantification (iTRAQ)-based proteomic profiling of the small intestinal tissues from aged mice treated with L2 was performed. L2 reversed immune function declines and modulated the lipid metabolism of aged mice evidenced by increased levels of serum TC， HDL-C， and LDL-C， and reduced levels of serum TG. Moreover， a total of 95 differentially regulated proteins (DRPs) were identified， of which 75 were up-regulated and 20 were down-regulated. Most of the DRPs were involved in intracellular and extracellular structure organization， and cellular and metabolic regulation. Particularly， approximately 16 and 9 DRPs participated in the regulation of immune functions and lipid metabolism， respectively. Furthermore， protein-protein interaction analysis highlighted that cadherin 1， plectin， cadherin-17， Ras GTPase-activating-like protein IQGAP2， and ezrin might be key proteins in response to L2 treatment. These findings provide new insights into the biological mechanisms of mushroom polysaccharides in anti-aging from a proteomic perspective.

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The interaction between gut microbiota and chronic kidney disease and the prospects of probiotic intervention

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Food science and Human Wellness 2024年

作者： Yang Meng Maozhen Zhao Haiyan Lu Huaxi Yi Zhe Zhang Lanwei Zhang College of Food science and Engineering ocean University of China

Chronic kidney disease (CKD) is a progressive disease with high morbidity and mortality. Disturbed gut microbiota and toxin accumulation are the main pathologic features of CKD. Current treatments are limited to those that alleviate renal impairment in CKD patients， but few interventions are available that specifically target the regulatory mechanisms of gut microbiota. In this context， researchers urgently need new approaches that can significantly improve survival time and quality of life in these patients. In this review， we outline the involvement of the gut-kidney axis in kidney injury through disturbances of gut microbiota and dysregulation of endogenous metabolites， as well as the prominent contribution of gut microbiota in the discovery of CKD that can be used to prevent， diagnose， and treat CKD. Next， we describe several major metabolites associated with the host-gut microbiota that arise from the synthesis of microbial nutrient transformations and subsequent interactions with the kidney. Then， we summarize the role and potential targets of a compromised gut barrier in CKD. Finally， we discuss research advances in the prevention and treatments of CKD through probiotics modulation of gut microbiota structure to reduce enterogenous toxins and their maintenance of gut barrier function. A growing body of research suggests that intervention through probiotics may be a new and promising therapeutic strategy for CKD.

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Classification of Sailboat Tell Tail Based on Deep Learning

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Journal of ocean University of China 2024年第3期23卷 710-720页

作者： CHANG Xiaofeng YU Jintao GAO Ying DING Hongchen LIU Yulong YU Huaming Department of Physical Education Ocean University of ChinaQingdao 266100China College of Big Data Qingdao University of Science and TechnologyQingdao 266061China College of oceanic and Atmospheric sciences Ocean University of ChinaQingdao 266100China

The tell tail is usually placed on the triangular sail to display the running state of the air flow on the sail *** is of great significance to make accurate judgement on the drift of the tell tail of the sailboat during sailing for the best sailing *** it is difficult for sailors to keep an eye for a long time on the tell sail for accurate judging its changes,affected by strong sunlight and visual *** this case,we adopt computer vision technology in hope of helping the sailors judge the changes of the tell tail in ease with *** paper proposes for the first time a method to classify sailboat tell tails based on deep learning and an expert guidance system,supported by a sailboat tell tail classification data set on the expert guidance system of interpreting the tell tails states in different sea wind conditions,including the feature extraction *** the expression capabilities that vary with the computational features in different visual tasks,the paper focuses on five tell tail computing features,which are recoded by an automatic encoder and classified by a SVM *** experimental samples were randomly divided into five groups,and four groups were selected from each group as the training set to train the *** remaining one group was used as the test set for *** highest resolution value of the ResNet network was 80.26%.To achieve better operational results on the basis of deep computing features obtained through the ResNet network in the *** method can be used to assist the sailors in making better judgement about the tell tail changes during sailing.

关键词： tell tail sailboat classification deep learning

Highly Accurate Golden Section Search Algorithms and Fictitious Time Integration Method for Solving Nonlinear Eigenvalue Problems

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Computer Modeling in Engineering & sciences 2024年第5期139卷 1317-1335页

作者： Chein-Shan Liu Jian-Hung Shen Chung-Lun Kuo Yung-Wei Chen Center of Excellence for ocean Engineering Taiwan Ocean UniversityKeelung202301TaiwanChina Department of Marine Engineering Taiwan Ocean UniversityKeelung202301TaiwanChina

This study sets up two new merit functions,which are minimized for the detection of real eigenvalue and complex eigenvalue to address nonlinear eigenvalue *** each eigen-parameter the vector variable is solved from a nonhomogeneous linear system obtained by reducing the number of eigen-equation one less,where one of the nonzero components of the eigenvector is normalized to the unit and moves the column containing that component to the right-hand side as a nonzero input vector.1D and 2D golden section search algorithms are employed to minimize the merit functions to locate real and complex ***,the real and complex eigenvectors can be computed very accurately.A simpler approach to the nonlinear eigenvalue problems is proposed,which implements a normalization condition for the uniqueness of the eigenvector into the eigenequation *** real eigenvalues can be computed by the fictitious time integration method(FTIM),which saves computational costs compared to the one-dimensional golden section search algorithm(1D GSSA).The simpler method is also combined with the Newton iterationmethod,which is convergent very *** the proposed methods are easily programmed to compute the eigenvalue and eigenvector with high accuracy and efficiency.

关键词： Nonlinear eigenvalue problem quadratic eigenvalue problem two new merit functions golden section search algorithm fictitious time integration method