【目的】英文科技期刊作为科研成果传播和国际学术交流的重要平台,在我国科技发展中发挥了举足轻重的作用,本文研究旨在为进一步促进我国英文科技期刊国际化发展提供借鉴与实践指导。【方法】本文基于Journal of Marine Science and App...【目的】英文科技期刊作为科研成果传播和国际学术交流的重要平台,在我国科技发展中发挥了举足轻重的作用,本文研究旨在为进一步促进我国英文科技期刊国际化发展提供借鉴与实践指导。【方法】本文基于Journal of Marine Science and Application的办刊实践,从如何充分发挥专家办刊优势、多措并举加大宣传力度以及创新出版模式等方面总结和探讨我国英文科技期刊国际影响力提升策略。【结果】国际化办刊对提升我国英文科技期刊国际影响力和知名度具有显著效果。【结论】国际化发展是英文科技期刊的必然途径,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。展开更多
以Journal of Marine Science and Application为例,从聚焦国家重大战略需求、服务一流学科建设、服务广大作者与读者、助力人才培养、服务高校广大师生等方面探讨在“双一流”建设和培育世界一流科技期刊背景下,我国高校英文科技期刊...以Journal of Marine Science and Application为例,从聚焦国家重大战略需求、服务一流学科建设、服务广大作者与读者、助力人才培养、服务高校广大师生等方面探讨在“双一流”建设和培育世界一流科技期刊背景下,我国高校英文科技期刊服务能力建设举措及办刊实践。文章认为,高校英文科技期刊应坚持服务国家战略与学科发展并重,通过国际化、专业化、特色化办刊实践,全面提升服务能力,为我国科技强国建设提供有力支撑。展开更多
目的:英文科技期刊作为科研成果传播和学术交流的重要载体,对提升我国科技国际竞争力和影响力作出了巨大贡献,文章旨在为进一步促进我国高校英文科技期刊高质量发展提供借鉴与实践指导。方法:基于Journal of Marine Science and Applica...目的:英文科技期刊作为科研成果传播和学术交流的重要载体,对提升我国科技国际竞争力和影响力作出了巨大贡献,文章旨在为进一步促进我国高校英文科技期刊高质量发展提供借鉴与实践指导。方法:基于Journal of Marine Science and Application办刊实践,从打造期刊专家队伍、深耕稿件学术质量、多措并举加大宣传等方面总结和探讨我国高校英文科技期刊学术质量和影响力提升策略。结果:组建高水平专家办刊团队、坚守内容质量生命线以及拓宽期刊国际化发展对全面提升我国高校英文科技期刊综合办刊能力和知名度效果显著。结论:期刊学术质量和影响力提升是我国高校英文科技期刊发展的核心,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。展开更多
Marine environment represents a very important and actual topic.Water bodies cover more than two thirds of the earth’s surface and even after thousands of years,scientists have yet to fully uncover their mysteries.At...Marine environment represents a very important and actual topic.Water bodies cover more than two thirds of the earth’s surface and even after thousands of years,scientists have yet to fully uncover their mysteries.At the same time climate,change has visible effects with a growing dynamics in the last decades and the marine environment is very sensitive to these changes.In order to mitigate the effects of the climate change there is an increasing need of reducing the CO_(2) emissions and from this perspective the marine environment represents an important source of clean renewable energy.展开更多
The higher dynamics in the climate change became quite visible in the last decades.Although there are still theories assuming these changes to the cyclic character of the climate,it is obvious that this dynamics is al...The higher dynamics in the climate change became quite visible in the last decades.Although there are still theories assuming these changes to the cyclic character of the climate,it is obvious that this dynamics is also driven to a large extent by the human activities.According to the Intergovernmental Panel on Climate Change(IPCC),which is the United Nations body for assessing the science related to climate change,various climate scenarios have been designed.展开更多
Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and ...Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and reanalysis data(MERRA-2)from March 2007 to February 2015(eight years).The horizontal distribution reveals lower cirrus fraction values in the northern SCS and higher values in the southern region,with minima observed in March and April and maxima sequentially occurring in August(northern SCS,NSCS),September(middle SCS,MSCS),and December(southern SCS,SSCS).Vertically,the cirrus fraction peaks in summer and reaches its lowest levels in spring.Opaque cirrus dominates during summer in the NSCS and MSCS,comprising 53.6%and 55.9%,respectively,while the SSCS exhibits a higher frequency of opaque cirrus relative to other cloud types.Subvisible cirrus clouds have the lowest frequency year-round,whereas thin cirrus is most prominent in winter in the NSCS(46.3%)and in spring in the MSCS(45.3%).A case study from September 2021 further explores the influence of ice crystal habits on brightness temperature(BT)over the SCS.Simulations utilizing five ice crystal shapes from the ARTS DDA(Atmospheric Radiative Transfer Simulator Discrete Dipole Approximation)database and the RTTOV 12.4 radiative transfer model reveal that the 8-column-aggregate shape best represents BT in the NSCS and SSCS,while the large-block-aggregate shape performs better in the SSCS.展开更多
Alzheimer’s disease(AD)is a complex neurodegenerative disorder associated with changes in inflammation,oxidative stress,and gut microbiota composition.Butyrolactone Ⅰ(BTL-Ⅰ),a fungal metabolite,has shown anti-infla...Alzheimer’s disease(AD)is a complex neurodegenerative disorder associated with changes in inflammation,oxidative stress,and gut microbiota composition.Butyrolactone Ⅰ(BTL-Ⅰ),a fungal metabolite,has shown anti-inflammatory,microbiota regulating,and memory-improving potentials in previous in vitro and AlCl3-induced zebrafish studies.However,its effects of memory-improving and gutbrain axis regulating on Aβ-induced mammalian AD models have not been explored.In this study,intragastric administrated BTL-Ⅰ ameliorated cognitive deficits related to recognition and spatial memory impaired by Aβ_(1-42)intracerebroventricular injection in mice.BTL-Ⅰ maintained gut microbiota balance by increasing the abundance of Blautia,Muribaculaceae,Bacteroides,Akkermansia,etc.,and decreasing CAG-352,Clostridia UCG-014,different Lachnospiraceae groups,etc.,and Firmicutes/Bacteroidota ratio and elevated the levels of short-chain fatty acids.Additionally,it alleviated intestinal oxidative stress,inflammatory responses,and pathological damage.Furthermore,BTL-I reversed Aβ_(1-42)-induced activation of microglia and astrocytes in the hippocampus and inhibited the elevated oxidative stress and proinflammatory cytokines in both plasma and brain.The correlation analysis between the regulated taxa and biomarkers supports the role of gut microbiota in adjusting inflammation,oxidative stress,and memory.In conclusion,BTL-I may serve as a valuable drug lead for treating Alzheimer’s disease by systematically inhibiting microbiota imbalance,inflammation,and oxidative stress along the gut-brain axis.展开更多
Ciliates are a dominant group in the marine sediment microecosystem,and their interactions with symbiotic prokaryotes are important for understanding the adaptation mechanisms of marine benthic eukaryotes.However,the ...Ciliates are a dominant group in the marine sediment microecosystem,and their interactions with symbiotic prokaryotes are important for understanding the adaptation mechanisms of marine benthic eukaryotes.However,the microbial communities(microbiome)associated with most benthic ciliates and the taxonomic attributes of the dominant symbiotic bacteria are unclear.In this study,we focused on Paraspathidium apofuscum,a ciliate prevalent in marine benthic environments,and comprehensively explored the diversity and cellular location of the microbiomes in two P.apofuscum isolates using single-cell-based full-length16S rRNA amplicon sequencing,phylogenetic analysis,and fluorescence in situ hybridization.The results showed that the P.apofuscum cell surface carried a highly diverse microbiome whose cellular localization was consistent with the positions of the ciliate's somatic dikinetids.The dominant genera in the microbiome,Pseudoalteromonas,Halobacteriovorax and Oceaniserpentilla,were associated with unicellular eukaryotes.In particular,Pseudoalteromonas likely uses ciliate-secreted metabolites as nutrients and plays a role in host physical protection or pathogen resistance.Halobacteriovorax and Oceaniserpentilla are newly discovered or rare bacterial genera innovatively found to have ecological niches in symbiosis with benthic ciliates.Comparison analysis indicates that the microbiomes associated with benthic ciliates display species and population specificity,which are attributed to several factors such as environmental physicochemical properties,host physiological states,and interactions among associated bacteria.This study provides important insights into the environmental adaptation of eukaryotes through a symbiotic mechanism in the marine benthic environment.展开更多
With the increasing accumulation of plastic pollutants in various environments,research on microorganisms(including bacteria,fungi,and algae)with plastic degradation capabilities has gained significant attention.Howev...With the increasing accumulation of plastic pollutants in various environments,research on microorganisms(including bacteria,fungi,and algae)with plastic degradation capabilities has gained significant attention.However,only a limited number of microbial plastic-degrading enzymes have been identified to date.This highlights that the degradation mechanisms employed by many plastic-degrading microorganisms,particularly filamentous fungi,remain insufficiently explored.In this study,we utilized a versatile fungal plasmid(pCT74)to express green fluorescent protein(GFP)in a marine-derived fungus Alternaria alternata strain FB1 with plastic degradation capabilities.Upon evaluating the degradation effect of polyester-type polyurethane(PU)film,we observed that different transformants exhibited three kinds of activities(the same,reduced,or enhanced degradation capability)compared to the FB1 wild-type strain.Further analysis of the plasmid fragment insertion sites in different transformants revealed that pCT74 integrates randomly into the genome of the host fungus.Notably,a direct correlation was found between the plasmid insertion site and the degradation capability of the corresponding transformant.Our findings not only redefine the potential applications of plasmid pCT74 in filamentous fungi but also show a novel research approach to identifying key enzymes involved in plastic degradation by fungi.展开更多
Prevention of annual"green tides"caused by blooms of the green macroalga Ulva prolifera,which have occurred in the Yellow Sea since 2007,has received much attention.Increasing evidence indicates that micro-p...Prevention of annual"green tides"caused by blooms of the green macroalga Ulva prolifera,which have occurred in the Yellow Sea since 2007,has received much attention.Increasing evidence indicates that micro-propagules on the rafts used for Porphyra yezoensis aquaculture along the coastline of Jiangsu Province in China,were the primary source of these green tides.In this study,we investigated the effectiveness of a silicone antifouling coating for preventing the adhesion and germination of U.prolifera micro-propagules on bamboo and nylon ropes,which have been used in rafts for P.yezoensis aquaculture.Our results demonstrated that a coating of silicone(Sylgard 184)containing 1.0 wt.%sodium benzoate(NaB)could reduce the adhesion rate to<5%and completely inhibited the growth of U.prolifera propagules on the coated surfaces.Coating bamboo and nylon ropes with NaB-incorporated silicone thus proved a potentially effective method for controlling the initial biomass accumulation of U.prolifera.展开更多
As climate change,international trade,and human activities increasingly disrupt traditional geographic barriers in the oceans,non-indigenous species(NIS)have successfully established themselves outside their native ra...As climate change,international trade,and human activities increasingly disrupt traditional geographic barriers in the oceans,non-indigenous species(NIS)have successfully established themselves outside their native ranges.Outbreaks of NIS can pose significant threats to local ecosystems and economies,making them a critical issue for marine biodiversity and biosecurity.Biological invasions in marine habitats differ significantly from those on land or in freshwater.Detection and identification of NIS in marine habitats is particularly challenging due to difficulties in sampling,morphological identification,and visualization in the early stages of outbreaks.Environmental DNA(eDNA)approaches have emerged as reliable and cost-effective methods for both qualitative and quantitative detection of marine NIS,particularly in the introductory phase.In this review,we summarize recent applications and advances in eDNA-based detection of marine NIS.We emphasize that innovations in eDNA sampling equipment,improvements in detection methods,and further refinement of the reference genomic database for marine species are crucial for the future development of this field.展开更多
Marine fish diversity in the Beibu Gulf from 2014 to 2022 was analyzed,using various methods including at-sea fisheries resource surveys,fishing port surveys,underwater survey techniques,and data from literature,books...Marine fish diversity in the Beibu Gulf from 2014 to 2022 was analyzed,using various methods including at-sea fisheries resource surveys,fishing port surveys,underwater survey techniques,and data from literature,books,and databases,from which 1059 fish species across 40 orders,166 families,and 503 genera were identified.Among them,Acanthuriformes displayed the highest diversity,followed by Carangiformes and Perciformes.Notably,eight alien species were found in the Beibu Gulf.The International Union for Conservation of Nature(IUCN)Red List assessment revealed 51threatened species,primarily cartilaginous fish.Taxonomic changes affected 88.70%of species due to classification adjustments,misidentifications,and junior synonymy.This study contributed new data of the gulf,including one additional order,six new families,34 new genera,and 81 new species,emphasizing the dynamic nature of marine ecosystems.Fish diversity in the gulf was relatively lower than the broader South China Sea,attributed to limited habitats and survey methods.Different survey methods,such as gill nets,trap nets,and underwater cameras,yielded varying results.Ocean currents may have transported deep-sea species into the Beibu Gulf,leading to accidental records.Research gaps exist in unexplored areas,warranting further investigation.Therefore,the Beibu Gulf hosts significant marine biodiversity,but taxonomic challenges and undiscovered species require new research and conservation efforts.展开更多
Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles.Understanding the preparation and triggering mechanism of these low–angle submarine landsli...Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles.Understanding the preparation and triggering mechanism of these low–angle submarine landslides remains a significant challenge.This study focuses on a deformed low–angle submarine landslide in the shelf–slope break of the Pearl River Mouth Basin,South China Sea,integrating sedimentology,geophysics,and geotechnology to investigate potential failure mechanisms.The architecture and deformation characteristics of the submarine landslide were elucidated by analyzing multibeam and seismic data.Within the context of the regional geological history and tectonic framework,this study focuses on the factors(e.g.,rapid sedimentation,fluid activity,and earthquakes)that potentially contributed to the submarine slope failure.Furthermore,a series of stability evaluations considering the effects of rapid sedimentation and earthquakes was conducted.Our findings indicate that the most probable triggering mechanism involves the combined effects of sedimentation controlled by sea–level fluctuations,high–pressure gas activity,and seismic events.The high–pressure gas,which acts as a long–term preconditioning factor by elevating pore pressures and reducing shear resistance within the sediment,accumulated beneath the upper and middle sections of the low–permeability stratum that was formed during sea–level rise and ultimately evolved into the sliding mass.The overpressure generated by gas accumulation predisposed the submarine slope to instability,and a frequent or moderate earthquake ultimately initiated local failure.This study enhances the mechanistic understanding of low–angle slope failures in the shelf–slope break zone and provides critical insights for assessing marine hazard risks.展开更多
Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from...Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from observing phenomena to uncovering underlying mechanisms,from regional-scale investigations to global perspectives,and from experience-based inference toward data-and model-enabled intelligent prediction.AlphaEarth Foundations(AEF)is a next-generation geospatial intelligence platform that addresses these changes by introducing a unified 64-dimensional shared embedding space,enabling-for the first time-standardized representation and seamless integration of 12 distinct types of Earth observation data,including optical,radar,and lidar.This framework significantly improves data assimilation efficiency and resolves the persistent problem of“data silos”in geoscience research.AEF is helping redefine research methodologies and fostering breakthroughs,particularly in quantitative Earth system science.This paper systematically examines how AEF’s innovative architecture-featuring multi-source data fusion,high-dimensional feature representation learning,and a scalable computational framework-facilitates intelligent,precise,and realtime data-driven geoscientific research.Using case studies from resource and environmental applications,we demonstrate AEF’s broad potential and identify emerging innovation needs.Our findings show that AEF not only enhances the efficiency of solving traditional geoscientific problems but also stimulates novel research directions and methodological approaches.展开更多
The accurate identification of microporosity is crucial for the characterization of hydrocarbon reservoir permeability and production.Scanning electron microscopy(SEM)is among the limited number of methods available t...The accurate identification of microporosity is crucial for the characterization of hydrocarbon reservoir permeability and production.Scanning electron microscopy(SEM)is among the limited number of methods available to directly observe the microscopic structure of the hydrocarbon reservoir rocks.Nevertheless,precise segmentation of microscopic pores at different depths in SEM images remains an unsolved challenge,known as the‘depth-related resolution loss'problem.Therefore,in this study,a 3D reconstruction technique for regions of interest(ROI)was developed for in-depth pixel analysis and differentiation among various depths of SEM images.The processed SEM images,together with the processing outcomes of this technique,were used as the input database to train a stochastic depth with multi-channel residual pathways(SdstMcrp)deep learning model programmed in Python to develop a tool for segmenting the microscopic pore spaces in SEM images obtained from the Beibuwan Basin.The more accurate segmentation helped to detect an average of 1.2 times more microporosity in SEM images,accounting for about 1.6 times more pixels and 1.2 times more pore surface area.Finally,the impact of the accurate segmentation on the calculation of permeability,a significant reservoir production property,was investigated using fractal geometry models and sensitivity analysis.The results showed that the obtained permeability values would vary by a factor of 6,which represents a considerable difference.These findings demonstrate that the proposed models can effectively identify features across a wide range of grayscale values in SEM images.展开更多
Copper materials have emerged as the preferred choice for marine heat exchangers owing to their excep-tional thermal conductivity.The enhancement of surface performance can be significantly achieved by engineering mic...Copper materials have emerged as the preferred choice for marine heat exchangers owing to their excep-tional thermal conductivity.The enhancement of surface performance can be significantly achieved by engineering micro-nano structures on the material’s surface,thereby attaining improved corrosion resis-tance and antibacterial properties in complex marine environments.In this study,we directly fabricated a copper nanopillar array structure on the substrate via template-assisted electrodeposition.Subsequently,passivation of the pillar-structured copper surface was achieved through a formate&dodecanethiol-assisted solvothermal process(Cu/FA-DT).The results indicate that the nanopillar structure effectively eliminates bacteria through physical rupture upon contact,leading to an 85.47%reduction in P.aerug-inosa adhesion compared to untreated samples after 72 h of immersion in seawater.Furthermore,cor-rosion resistance is significantly enhanced,with inhibition rates of approximately 95.27%and 90.50%in natural and P.aeruginosa containing seawater,respectively.Notably,the thermal conductivity of copper is well preserved,ensuring its functional integrity in marine heat exchange environments.After 7 days of immersion in natural and P.aeruginosa containing seawater,the thermal conductivity of Cu/FA-DT de-creased by only 15.41%and 2.78%,respectively,demonstrating superior thermal conductivity retention compared to untreated bare copper.This study provides valuable insights into the potential application of traditional copper in marine heat exchange environments.展开更多
Marine protected areas(MPAs)play a critical role in maintaining marine ecosystem health,conserving biodiversity,and sustaining coastal livelihoods and socio-economic benefits.However,MPAs in China still face significa...Marine protected areas(MPAs)play a critical role in maintaining marine ecosystem health,conserving biodiversity,and sustaining coastal livelihoods and socio-economic benefits.However,MPAs in China still face significant design and management limitations,including a lack of a robust scientific basis for boundary delineation,weak enforcement capacity,poor adaptability to environmental and socio-economic changes,and insufficient integration of the ocean’s three-dimensional characteristics.These limitations are particularly evident in the context of climate change,overexploitation of marine resources,and the complex dynamics of ecosystems.This study systematically reviews the current status and challenges of MPAs in China,with a specific focus on the need for and benefits of dynamic and threedimensional protected areas for marine conservation.Dynamic protected areas,supported by real-time monitoring and flexible boundary adjustments,can more effectively respond to the migratory patterns of marine species and seasonal distribution shifts along China’s coast.On the other hand,three-dimensional protected areas enhance ecosystem protection by incorporating vertical ecological gradients and ocean depth,offering a vital complement to the predominantly two-dimensional protection approach currently in use.The study indicates that,with current technological and data capabilities,effective implementation of these advanced approaches requires precision marine observations,advanced analysis methods,and coordinated efforts among diverse stakeholders.In response,the study synthesizes multiple case studies to illustrate the potential ecological,managerial,and policy-related outcomes of dynamic and three-dimensional MPAs.It proposes strategies for optimization,implementation pathways,and targeted policy recommendations.Ultimately,the study emphasizes the critical role of scientific planning and technological innovation in enhancing the effectiveness of MPAs in China.It calls upon policymakers and the broader society to increase attention and investment in dynamic and three-dimensional marine conservation approaches.This work not only provides a scientific foundation for more precise and efficient marine governance in China,but also lays crucial foundation for achieving ocean-related sustainable development goals aligned with China’s national context.展开更多
With the intensification of global warming,marine heatwaves(MHWs)have emerged as a significant extreme hazard,garnering widespread attention and creating a pressing need for accurate prediction.The development of arti...With the intensification of global warming,marine heatwaves(MHWs)have emerged as a significant extreme hazard,garnering widespread attention and creating a pressing need for accurate prediction.The development of artificial intelligence,particularly the application of deep learning to sea surface temperature(SST),has significantly improved the feasibility of predictions.This study utilizes SST and Outgoing Longwave Radiation(OLR)data to train a 3D U-Net model for predicting MHWs in the South China Sea(SCS)with lead times ranging from 1 to 7 days,based on the characteristics of intraseasonal weather processes.Analysis of MHWs occurrences from 1982 to 2023 reveals distinct seasonal patterns,with summer MHWs primarily concentrated in the northern and central SCS,and the highest temperature centers located in the Gulf of Tonkin and west of the Philippines.The 2023 MHW forecast results demonstrate that the 3D U-Net model achieves low error rates and high correlation coefficients with observational data.Incorporating OLR data enhances forecast accuracy compared to SST-only inputs,and training the model exclusively with summer data further improves prediction accuracy.These findings indicate that the proposed method can significantly enhance the accuracy of MHW forecasts.展开更多
With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended ...With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended periods,failing to provide a comprehensive understanding of MIC mechanisms at different stages.In this study,the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data.The results revealed that the corrosion by H.titanicae against EH36 steel evolved dynamically over time.During the initial stages,the aerobic respiration of H.titanicae consumed significant amounts of oxygen,which suppressed the cathodic oxygen reduction process,thereby inhibiting corrosion compared to the abiotic conditions.As time progressed,the accumulation of corrosion products slowed the abiotic corrosion,while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H.titanicae,utilizing Fe0 and nitrate as electron donors and acceptors,respectively.The big data results are consistent with the weight loss and electrochemical data,demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.展开更多
文摘【目的】英文科技期刊作为科研成果传播和国际学术交流的重要平台,在我国科技发展中发挥了举足轻重的作用,本文研究旨在为进一步促进我国英文科技期刊国际化发展提供借鉴与实践指导。【方法】本文基于Journal of Marine Science and Application的办刊实践,从如何充分发挥专家办刊优势、多措并举加大宣传力度以及创新出版模式等方面总结和探讨我国英文科技期刊国际影响力提升策略。【结果】国际化办刊对提升我国英文科技期刊国际影响力和知名度具有显著效果。【结论】国际化发展是英文科技期刊的必然途径,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。
文摘以Journal of Marine Science and Application为例,从聚焦国家重大战略需求、服务一流学科建设、服务广大作者与读者、助力人才培养、服务高校广大师生等方面探讨在“双一流”建设和培育世界一流科技期刊背景下,我国高校英文科技期刊服务能力建设举措及办刊实践。文章认为,高校英文科技期刊应坚持服务国家战略与学科发展并重,通过国际化、专业化、特色化办刊实践,全面提升服务能力,为我国科技强国建设提供有力支撑。
文摘目的:英文科技期刊作为科研成果传播和学术交流的重要载体,对提升我国科技国际竞争力和影响力作出了巨大贡献,文章旨在为进一步促进我国高校英文科技期刊高质量发展提供借鉴与实践指导。方法:基于Journal of Marine Science and Application办刊实践,从打造期刊专家队伍、深耕稿件学术质量、多措并举加大宣传等方面总结和探讨我国高校英文科技期刊学术质量和影响力提升策略。结果:组建高水平专家办刊团队、坚守内容质量生命线以及拓宽期刊国际化发展对全面提升我国高校英文科技期刊综合办刊能力和知名度效果显著。结论:期刊学术质量和影响力提升是我国高校英文科技期刊发展的核心,对加快推进我国科技期刊建设成为世界一流期刊具有重要意义。
文摘Marine environment represents a very important and actual topic.Water bodies cover more than two thirds of the earth’s surface and even after thousands of years,scientists have yet to fully uncover their mysteries.At the same time climate,change has visible effects with a growing dynamics in the last decades and the marine environment is very sensitive to these changes.In order to mitigate the effects of the climate change there is an increasing need of reducing the CO_(2) emissions and from this perspective the marine environment represents an important source of clean renewable energy.
文摘The higher dynamics in the climate change became quite visible in the last decades.Although there are still theories assuming these changes to the cyclic character of the climate,it is obvious that this dynamics is also driven to a large extent by the human activities.According to the Intergovernmental Panel on Climate Change(IPCC),which is the United Nations body for assessing the science related to climate change,various climate scenarios have been designed.
基金supported by the National Natural Science Foundation of China(Grant Nos.42027804,41775026,and 41075012)。
文摘Cirrus clouds play a crucial role in the energy balance of the Earth-atmosphere system.We investigated the spatiotemporal variations of cirrus over the South China Sea(SCS)using satellite data(MOD08,MYD08,CALIPSO)and reanalysis data(MERRA-2)from March 2007 to February 2015(eight years).The horizontal distribution reveals lower cirrus fraction values in the northern SCS and higher values in the southern region,with minima observed in March and April and maxima sequentially occurring in August(northern SCS,NSCS),September(middle SCS,MSCS),and December(southern SCS,SSCS).Vertically,the cirrus fraction peaks in summer and reaches its lowest levels in spring.Opaque cirrus dominates during summer in the NSCS and MSCS,comprising 53.6%and 55.9%,respectively,while the SSCS exhibits a higher frequency of opaque cirrus relative to other cloud types.Subvisible cirrus clouds have the lowest frequency year-round,whereas thin cirrus is most prominent in winter in the NSCS(46.3%)and in spring in the MSCS(45.3%).A case study from September 2021 further explores the influence of ice crystal habits on brightness temperature(BT)over the SCS.Simulations utilizing five ice crystal shapes from the ARTS DDA(Atmospheric Radiative Transfer Simulator Discrete Dipole Approximation)database and the RTTOV 12.4 radiative transfer model reveal that the 8-column-aggregate shape best represents BT in the NSCS and SSCS,while the large-block-aggregate shape performs better in the SSCS.
基金Supported by the Guangdong Provincial Natural Science Foundation(No.2022A1515010783)the Sustainable Development Program of Shenzhen Science and Technology Major Program(No.KCXFZ20240903093925033)+4 种基金the Guangdong Provincial Special Project in Science and Technology(No.2021A05240)the Special Project in Key Fields of Guangdong Provincial Higher Education Institutions(No.2021ZDZX2064)the Basic Research Project of Shenzhen Science and Technology Innovation Commission(No.JCYJ20220530162014032)the Zhanjiang Marine Youth Talent Innovation Project(No.2022E05010)the Program for Scientific Research Start-up Funds of Guangdong Ocean University(Nos.R18008,060302042201)。
文摘Alzheimer’s disease(AD)is a complex neurodegenerative disorder associated with changes in inflammation,oxidative stress,and gut microbiota composition.Butyrolactone Ⅰ(BTL-Ⅰ),a fungal metabolite,has shown anti-inflammatory,microbiota regulating,and memory-improving potentials in previous in vitro and AlCl3-induced zebrafish studies.However,its effects of memory-improving and gutbrain axis regulating on Aβ-induced mammalian AD models have not been explored.In this study,intragastric administrated BTL-Ⅰ ameliorated cognitive deficits related to recognition and spatial memory impaired by Aβ_(1-42)intracerebroventricular injection in mice.BTL-Ⅰ maintained gut microbiota balance by increasing the abundance of Blautia,Muribaculaceae,Bacteroides,Akkermansia,etc.,and decreasing CAG-352,Clostridia UCG-014,different Lachnospiraceae groups,etc.,and Firmicutes/Bacteroidota ratio and elevated the levels of short-chain fatty acids.Additionally,it alleviated intestinal oxidative stress,inflammatory responses,and pathological damage.Furthermore,BTL-I reversed Aβ_(1-42)-induced activation of microglia and astrocytes in the hippocampus and inhibited the elevated oxidative stress and proinflammatory cytokines in both plasma and brain.The correlation analysis between the regulated taxa and biomarkers supports the role of gut microbiota in adjusting inflammation,oxidative stress,and memory.In conclusion,BTL-I may serve as a valuable drug lead for treating Alzheimer’s disease by systematically inhibiting microbiota imbalance,inflammation,and oxidative stress along the gut-brain axis.
基金supported by the National Natural Science Foundation of China(Nos.42176163 and 31970398)。
文摘Ciliates are a dominant group in the marine sediment microecosystem,and their interactions with symbiotic prokaryotes are important for understanding the adaptation mechanisms of marine benthic eukaryotes.However,the microbial communities(microbiome)associated with most benthic ciliates and the taxonomic attributes of the dominant symbiotic bacteria are unclear.In this study,we focused on Paraspathidium apofuscum,a ciliate prevalent in marine benthic environments,and comprehensively explored the diversity and cellular location of the microbiomes in two P.apofuscum isolates using single-cell-based full-length16S rRNA amplicon sequencing,phylogenetic analysis,and fluorescence in situ hybridization.The results showed that the P.apofuscum cell surface carried a highly diverse microbiome whose cellular localization was consistent with the positions of the ciliate's somatic dikinetids.The dominant genera in the microbiome,Pseudoalteromonas,Halobacteriovorax and Oceaniserpentilla,were associated with unicellular eukaryotes.In particular,Pseudoalteromonas likely uses ciliate-secreted metabolites as nutrients and plays a role in host physical protection or pathogen resistance.Halobacteriovorax and Oceaniserpentilla are newly discovered or rare bacterial genera innovatively found to have ecological niches in symbiosis with benthic ciliates.Comparison analysis indicates that the microbiomes associated with benthic ciliates display species and population specificity,which are attributed to several factors such as environmental physicochemical properties,host physiological states,and interactions among associated bacteria.This study provides important insights into the environmental adaptation of eukaryotes through a symbiotic mechanism in the marine benthic environment.
基金Supported by the Science and Technology Innovation Project of Laoshan Laboratory(Nos.2022QNLM030004-3,LSKJ202203103)the NSFC Innovative Group Grant(No.42221005)+5 种基金the Key Collaborative Research Program of the Alliance of International Science Organizations(No.ANSO-CR-KP-2022-08)the Shandong Provincial Natural Science Foundation(No.ZR2021ZD28)the Major Research Plan of the National Natural Science Foundation(No.92351301)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA22050301)the Taishan Scholars Program(No.tstp20230637)the Qingdao Natural Science Foundation(No.23-2-1-182-zyyd-jch)。
文摘With the increasing accumulation of plastic pollutants in various environments,research on microorganisms(including bacteria,fungi,and algae)with plastic degradation capabilities has gained significant attention.However,only a limited number of microbial plastic-degrading enzymes have been identified to date.This highlights that the degradation mechanisms employed by many plastic-degrading microorganisms,particularly filamentous fungi,remain insufficiently explored.In this study,we utilized a versatile fungal plasmid(pCT74)to express green fluorescent protein(GFP)in a marine-derived fungus Alternaria alternata strain FB1 with plastic degradation capabilities.Upon evaluating the degradation effect of polyester-type polyurethane(PU)film,we observed that different transformants exhibited three kinds of activities(the same,reduced,or enhanced degradation capability)compared to the FB1 wild-type strain.Further analysis of the plasmid fragment insertion sites in different transformants revealed that pCT74 integrates randomly into the genome of the host fungus.Notably,a direct correlation was found between the plasmid insertion site and the degradation capability of the corresponding transformant.Our findings not only redefine the potential applications of plasmid pCT74 in filamentous fungi but also show a novel research approach to identifying key enzymes involved in plastic degradation by fungi.
基金supported by the National Natural Science Foundation of China(Grant No.41276115)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No. XDA11020302)the National Basic Research Program of China(Grant No. 2010CB428706)
文摘Prevention of annual"green tides"caused by blooms of the green macroalga Ulva prolifera,which have occurred in the Yellow Sea since 2007,has received much attention.Increasing evidence indicates that micro-propagules on the rafts used for Porphyra yezoensis aquaculture along the coastline of Jiangsu Province in China,were the primary source of these green tides.In this study,we investigated the effectiveness of a silicone antifouling coating for preventing the adhesion and germination of U.prolifera micro-propagules on bamboo and nylon ropes,which have been used in rafts for P.yezoensis aquaculture.Our results demonstrated that a coating of silicone(Sylgard 184)containing 1.0 wt.%sodium benzoate(NaB)could reduce the adhesion rate to<5%and completely inhibited the growth of U.prolifera propagules on the coated surfaces.Coating bamboo and nylon ropes with NaB-incorporated silicone thus proved a potentially effective method for controlling the initial biomass accumulation of U.prolifera.
文摘As climate change,international trade,and human activities increasingly disrupt traditional geographic barriers in the oceans,non-indigenous species(NIS)have successfully established themselves outside their native ranges.Outbreaks of NIS can pose significant threats to local ecosystems and economies,making them a critical issue for marine biodiversity and biosecurity.Biological invasions in marine habitats differ significantly from those on land or in freshwater.Detection and identification of NIS in marine habitats is particularly challenging due to difficulties in sampling,morphological identification,and visualization in the early stages of outbreaks.Environmental DNA(eDNA)approaches have emerged as reliable and cost-effective methods for both qualitative and quantitative detection of marine NIS,particularly in the introductory phase.In this review,we summarize recent applications and advances in eDNA-based detection of marine NIS.We emphasize that innovations in eDNA sampling equipment,improvements in detection methods,and further refinement of the reference genomic database for marine species are crucial for the future development of this field.
基金Supported by the Regional Innovation Development Joint Fund Project of the National Natural Science Foundation of China(No.U20A2087)the Shiptime Sharing Project of National Natural Science Foundation of China(No.42249911)。
文摘Marine fish diversity in the Beibu Gulf from 2014 to 2022 was analyzed,using various methods including at-sea fisheries resource surveys,fishing port surveys,underwater survey techniques,and data from literature,books,and databases,from which 1059 fish species across 40 orders,166 families,and 503 genera were identified.Among them,Acanthuriformes displayed the highest diversity,followed by Carangiformes and Perciformes.Notably,eight alien species were found in the Beibu Gulf.The International Union for Conservation of Nature(IUCN)Red List assessment revealed 51threatened species,primarily cartilaginous fish.Taxonomic changes affected 88.70%of species due to classification adjustments,misidentifications,and junior synonymy.This study contributed new data of the gulf,including one additional order,six new families,34 new genera,and 81 new species,emphasizing the dynamic nature of marine ecosystems.Fish diversity in the gulf was relatively lower than the broader South China Sea,attributed to limited habitats and survey methods.Different survey methods,such as gill nets,trap nets,and underwater cameras,yielded varying results.Ocean currents may have transported deep-sea species into the Beibu Gulf,leading to accidental records.Research gaps exist in unexplored areas,warranting further investigation.Therefore,the Beibu Gulf hosts significant marine biodiversity,but taxonomic challenges and undiscovered species require new research and conservation efforts.
基金supported by NSFC Shiptime Sharing Project(Nos.42349302,and 42149905)the Hubei Provincial Natural Science Foundation of China(No.2024AFB515)+4 种基金the National Natural Science Foundation of China(Nos.42207173,41831280,and 42176071)the National Key R&D Program of China(No.2024YFC3082500)the Shandong Provincial Natural Science Foundation of China(No.ZR2022QD002)the Shandong Provincial Taishan Scholar Construction Project(No.tsqn202507091)the Shandong Provincial Young Innovators Team(No.2024KJH183).
文摘Low–angle submarine landslides pose a greater threat to offshore infrastructure compared to those with steep sliding angles.Understanding the preparation and triggering mechanism of these low–angle submarine landslides remains a significant challenge.This study focuses on a deformed low–angle submarine landslide in the shelf–slope break of the Pearl River Mouth Basin,South China Sea,integrating sedimentology,geophysics,and geotechnology to investigate potential failure mechanisms.The architecture and deformation characteristics of the submarine landslide were elucidated by analyzing multibeam and seismic data.Within the context of the regional geological history and tectonic framework,this study focuses on the factors(e.g.,rapid sedimentation,fluid activity,and earthquakes)that potentially contributed to the submarine slope failure.Furthermore,a series of stability evaluations considering the effects of rapid sedimentation and earthquakes was conducted.Our findings indicate that the most probable triggering mechanism involves the combined effects of sedimentation controlled by sea–level fluctuations,high–pressure gas activity,and seismic events.The high–pressure gas,which acts as a long–term preconditioning factor by elevating pore pressures and reducing shear resistance within the sediment,accumulated beneath the upper and middle sections of the low–permeability stratum that was formed during sea–level rise and ultimately evolved into the sliding mass.The overpressure generated by gas accumulation predisposed the submarine slope to instability,and a frequent or moderate earthquake ultimately initiated local failure.This study enhances the mechanistic understanding of low–angle slope failures in the shelf–slope break zone and provides critical insights for assessing marine hazard risks.
基金National Natural Science Foundation of China Key Project(No.42050103)Higher Education Disciplinary Innovation Program(No.B25052)+2 种基金the Guangdong Pearl River Talent Program Innovative and Entrepreneurial Team Project(No.2021ZT09H399)the Ministry of Education’s Frontiers Science Center for Deep-Time Digital Earth(DDE)(No.2652023001)Geological Survey Project of China Geological Survey(DD20240206201)。
文摘Since the beginning of the 21st century,advances in big data and artificial intelligence have driven a paradigm shift in the geosciences,moving the field from qualitative descriptions toward quantitative analysis,from observing phenomena to uncovering underlying mechanisms,from regional-scale investigations to global perspectives,and from experience-based inference toward data-and model-enabled intelligent prediction.AlphaEarth Foundations(AEF)is a next-generation geospatial intelligence platform that addresses these changes by introducing a unified 64-dimensional shared embedding space,enabling-for the first time-standardized representation and seamless integration of 12 distinct types of Earth observation data,including optical,radar,and lidar.This framework significantly improves data assimilation efficiency and resolves the persistent problem of“data silos”in geoscience research.AEF is helping redefine research methodologies and fostering breakthroughs,particularly in quantitative Earth system science.This paper systematically examines how AEF’s innovative architecture-featuring multi-source data fusion,high-dimensional feature representation learning,and a scalable computational framework-facilitates intelligent,precise,and realtime data-driven geoscientific research.Using case studies from resource and environmental applications,we demonstrate AEF’s broad potential and identify emerging innovation needs.Our findings show that AEF not only enhances the efficiency of solving traditional geoscientific problems but also stimulates novel research directions and methodological approaches.
基金the Natural Science Foundation of Shandong Province of China(Nos.ZR2022QD080 , ZR2025MS575)the National Natural Science Foundation of China(Nos.W25322063,42250410333,52250410357)+1 种基金the Fundamental Research Funds for the Central Universities,CHD(No.300102263103)the Young Talent Fund of Association for Science and Technology in Shaanxi,China(No.20230703)。
文摘The accurate identification of microporosity is crucial for the characterization of hydrocarbon reservoir permeability and production.Scanning electron microscopy(SEM)is among the limited number of methods available to directly observe the microscopic structure of the hydrocarbon reservoir rocks.Nevertheless,precise segmentation of microscopic pores at different depths in SEM images remains an unsolved challenge,known as the‘depth-related resolution loss'problem.Therefore,in this study,a 3D reconstruction technique for regions of interest(ROI)was developed for in-depth pixel analysis and differentiation among various depths of SEM images.The processed SEM images,together with the processing outcomes of this technique,were used as the input database to train a stochastic depth with multi-channel residual pathways(SdstMcrp)deep learning model programmed in Python to develop a tool for segmenting the microscopic pore spaces in SEM images obtained from the Beibuwan Basin.The more accurate segmentation helped to detect an average of 1.2 times more microporosity in SEM images,accounting for about 1.6 times more pixels and 1.2 times more pore surface area.Finally,the impact of the accurate segmentation on the calculation of permeability,a significant reservoir production property,was investigated using fractal geometry models and sensitivity analysis.The results showed that the obtained permeability values would vary by a factor of 6,which represents a considerable difference.These findings demonstrate that the proposed models can effectively identify features across a wide range of grayscale values in SEM images.
基金financially supported by the National Natural Science Foundation of China(Nos.42276212,42176043,and U2106206)the Shandong University Future Plan for Young Scholars.We thank Sen Wang,Haiyan Yu,and Xiaomin Zhao from the State Key Laboratory of Microbial Technology,Shandong University for the assistance in the microimaging of SEM analysis.
文摘Copper materials have emerged as the preferred choice for marine heat exchangers owing to their excep-tional thermal conductivity.The enhancement of surface performance can be significantly achieved by engineering micro-nano structures on the material’s surface,thereby attaining improved corrosion resis-tance and antibacterial properties in complex marine environments.In this study,we directly fabricated a copper nanopillar array structure on the substrate via template-assisted electrodeposition.Subsequently,passivation of the pillar-structured copper surface was achieved through a formate&dodecanethiol-assisted solvothermal process(Cu/FA-DT).The results indicate that the nanopillar structure effectively eliminates bacteria through physical rupture upon contact,leading to an 85.47%reduction in P.aerug-inosa adhesion compared to untreated samples after 72 h of immersion in seawater.Furthermore,cor-rosion resistance is significantly enhanced,with inhibition rates of approximately 95.27%and 90.50%in natural and P.aeruginosa containing seawater,respectively.Notably,the thermal conductivity of copper is well preserved,ensuring its functional integrity in marine heat exchange environments.After 7 days of immersion in natural and P.aeruginosa containing seawater,the thermal conductivity of Cu/FA-DT de-creased by only 15.41%and 2.78%,respectively,demonstrating superior thermal conductivity retention compared to untreated bare copper.This study provides valuable insights into the potential application of traditional copper in marine heat exchange environments.
基金The National Natural Science Foundation of China under contract No.42176173.
文摘Marine protected areas(MPAs)play a critical role in maintaining marine ecosystem health,conserving biodiversity,and sustaining coastal livelihoods and socio-economic benefits.However,MPAs in China still face significant design and management limitations,including a lack of a robust scientific basis for boundary delineation,weak enforcement capacity,poor adaptability to environmental and socio-economic changes,and insufficient integration of the ocean’s three-dimensional characteristics.These limitations are particularly evident in the context of climate change,overexploitation of marine resources,and the complex dynamics of ecosystems.This study systematically reviews the current status and challenges of MPAs in China,with a specific focus on the need for and benefits of dynamic and threedimensional protected areas for marine conservation.Dynamic protected areas,supported by real-time monitoring and flexible boundary adjustments,can more effectively respond to the migratory patterns of marine species and seasonal distribution shifts along China’s coast.On the other hand,three-dimensional protected areas enhance ecosystem protection by incorporating vertical ecological gradients and ocean depth,offering a vital complement to the predominantly two-dimensional protection approach currently in use.The study indicates that,with current technological and data capabilities,effective implementation of these advanced approaches requires precision marine observations,advanced analysis methods,and coordinated efforts among diverse stakeholders.In response,the study synthesizes multiple case studies to illustrate the potential ecological,managerial,and policy-related outcomes of dynamic and three-dimensional MPAs.It proposes strategies for optimization,implementation pathways,and targeted policy recommendations.Ultimately,the study emphasizes the critical role of scientific planning and technological innovation in enhancing the effectiveness of MPAs in China.It calls upon policymakers and the broader society to increase attention and investment in dynamic and three-dimensional marine conservation approaches.This work not only provides a scientific foundation for more precise and efficient marine governance in China,but also lays crucial foundation for achieving ocean-related sustainable development goals aligned with China’s national context.
基金Guangdong Major Project of Basic and Applied Basic Research(2020B0301030004)。
文摘With the intensification of global warming,marine heatwaves(MHWs)have emerged as a significant extreme hazard,garnering widespread attention and creating a pressing need for accurate prediction.The development of artificial intelligence,particularly the application of deep learning to sea surface temperature(SST),has significantly improved the feasibility of predictions.This study utilizes SST and Outgoing Longwave Radiation(OLR)data to train a 3D U-Net model for predicting MHWs in the South China Sea(SCS)with lead times ranging from 1 to 7 days,based on the characteristics of intraseasonal weather processes.Analysis of MHWs occurrences from 1982 to 2023 reveals distinct seasonal patterns,with summer MHWs primarily concentrated in the northern and central SCS,and the highest temperature centers located in the Gulf of Tonkin and west of the Philippines.The 2023 MHW forecast results demonstrate that the 3D U-Net model achieves low error rates and high correlation coefficients with observational data.Incorporating OLR data enhances forecast accuracy compared to SST-only inputs,and training the model exclusively with summer data further improves prediction accuracy.These findings indicate that the proposed method can significantly enhance the accuracy of MHW forecasts.
基金financially supported by the National Natural Science Foundation of China(Nos.U2106206,52471079,42276212,and 42176043)the Natural Science Foundation of Shandong Province(ZR2024ME047)+1 种基金the National Materials Corrosion and Protection Data Center(No.2023DATAFU20-01)The authors wish to acknowledge Sen Wang,Haiyan Yu,Xiaomin Zhao from State Key Laboratory of Microbial Technology,Shandong University for the assistance in the SEM analysis。
文摘With the rapid development of the marine economy,marine microbiologically influenced corrosion(MIC)has garnered increasing attention.However,most studies have not analyzed the MIC process over continuous and extended periods,failing to provide a comprehensive understanding of MIC mechanisms at different stages.In this study,the corrosion behavior of EH36 steel caused by Halomonas titanicae in an aerobic enriched seawater over a 30-d incubation period was investigated driven by big data.The results revealed that the corrosion by H.titanicae against EH36 steel evolved dynamically over time.During the initial stages,the aerobic respiration of H.titanicae consumed significant amounts of oxygen,which suppressed the cathodic oxygen reduction process,thereby inhibiting corrosion compared to the abiotic conditions.As time progressed,the accumulation of corrosion products slowed the abiotic corrosion,while the biotic corrosion accelerated due to a shift from aerobic to anaerobic respiration by H.titanicae,utilizing Fe0 and nitrate as electron donors and acceptors,respectively.The big data results are consistent with the weight loss and electrochemical data,demonstrating the reliability of using big data monitoring techniques to characterize microbial corrosion processes.
