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Hypoxic and temporal variation in the endocrine disrupting toxicity of perfluorobutanesulfonate in marine medaka(Oryzias melastigma)

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Journal of Environmental sciences 2024年第2期136卷 279-291页

作者： Baili sun Jing Li Yachen Bai Xiangzhen Zhou paul k.s.lam Lianguo Chen state key Laboratory of Freshwater Ecology and Biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan 430072China University of Chinese Academy of sciences Beijing 100049China Office of the President Hong Kong Metropolitan University30 Good Shepherd StreetKowloonHong Kong SARChina

Perfluorobutanesulfonate(PFBs)is an emerging pollutant capable of potently disrupting the sex and thyroid endocrine systems of teleosts.However,the hypoxic and temporal variation in PFBs endocrine disrupting toxicity remain largely unknown.In the present study,adult marine medaka were exposed to environmentally realistic concentrations of PFBs(0 and 10μg/L)under normoxia or hypoxia conditions for 7 days,aiming to explore the interactive behavior between PFBs and hypoxia.In addition,PFBs singular exposure was extended till 21days under normoxia to elucidate the time-course progression in PFBs toxicity.The results showed that hypoxia inhibited the growth and caused the suspension of egg spawn regardless of PFBs exposure.With regard to the sex endocrine system,7-day PFBs exposure led to an acute stimulation of transcriptional profiles in females,which,subsequently,recovered after the 21-day exposure.The potency of hypoxia to disturb the sex hormones was much stronger than PFBs.A remarkable increase in estradiol concentration was noted in medaka blood after hypoxia exposure.Changes in sex endocrinology of coexposed fish were largely determined by hypoxia,which drove the formation of an estrogenic environment.PFBs further enhanced the endocrine disrupting effects of hypoxia.However,the hepatic synthesis of vitellogenin and choriogenin,two commonly used sensitive biomarkers of estrogenic activity,failed to initiate in response to the estrogen stimulus.Compared to sex endocrine system,disturbances in thyroidal axis by PFBs or hypoxia were relatively mild.Overall,the present findings will advance our toxicological understanding about PFBs pollutant under the interference of hypoxia.

关键词： Perfluorobutanesulfonate(PFBs) Aquatic hypoxia Temporal toxicity Combined exposure Endocrine disruption Marine medaka

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Environmental threats to the Three Gorges Reservoir Region:Are mutagenic and genotoxic substances important?

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Journal of Environmental sciences 2015年第12期27卷 172-174页

作者： paul k.s.lam state key Laboratory in Marine Pollution Department of Biology and ChemistryCity University of Hong Kong

The Three Gorges Dam project（TGDP）,with a total static investment of 95.46 billion RMB（Us$10.97 billion）based on the 1993 price level,commenced in 1994 and was completed in 2012.The creation of the Three Gorges Reservoir following the completion of the TGDP had brought about significant changes to the Three Gorges Reservoir Region（TGRR）,stretching from the town of sandouping in Hubei Province to the Jiangjin District of Chongqing Municipality.The TGDP has led to progressive urbanization and industrialization of the TGRR,accompanied by increased shipping activities,greater

关键词： Three Gorges Dam Persistent organic pollutants Yangtze River sediment Water

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Occurrence and fate of endogenous steroid hormones,alkylphenol ethoxylates, bisphenol A and phthalates in municipal sewage treatment systems

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Journal of Environmental sciences 2017年第11期29卷 49-58页

作者： Qian Wu James C.W.lam karen Y.kwok Mirabelle M.P.Tsui paul k.s.lam state key Laboratory in Marine Pollution (skLMP) Department of Biology and Chemistry Research Centre for the Oceans and Human Health Shenzhen Key Laboratory for Sustainable Use of Marine Biodiversity City University of Hong Kong Department of science and Environmental studies The Education University of Hong of Kong

steroid hormones, alkylphenol ethoxylates（APEOs） and phthalic acid esters（PAEs） are emerging endocrine disrupting chemicals（EDCs） that can interfere with the endocrine function in organisms at low concentrations. The occurrence, distribution behavior, removal rate and the fate of 31 target EDCs in sewage treatment plants, which consist of various treatment facilities and receiving water in Hong kong, were investigated. Estrone,nonylphenol-di-ethoxylate and diethyl phthalate were found to be dominant in each group of influent samples with concentrations ranging from 11–33, 747–3945 and 445–4635 ng/L,respectively. Conversely, progesterone, nonylphenol-mono-ethoxylate and bis（2-ethylhexyl）phthalate were the most abundant in dewatered sludge, with concentrations ranging from 0.9–237, 75–19,743 and 4310–37,016 ng/g（dry weight）. The removal rates of primary sedimentation and disinfection approaches were lower than 30% for most of the chemicals,while those of activated sludge and reverse osmosis were greater than 80% for more than two-thirds of the compounds, noticeably decreasing the estrogenic risk of sewage discharged into the environment. steroid hormones were removed via biological degradation, while some APEOs and PAEs adsorbed to the sludge. Victoria Harbor poses a low to medium estrogenic risk mainly contributed by estrone and estradiol and deserves attention.

关键词： Endocrine disruptor steroid hormone Alkylphenol ethoxylate Phthalic acid ester Risk assessment

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A Rhizobium bacterium and its population dynamics under different culture conditions of its associated toxic dinoflagellate Gambierdiscus balechii

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Marine Life science & Technology 2021年第4期3卷 542-551页

作者： Zhen Wu Xiaohong Yang senjie Lin Wai Hin Lee paul k.s.lam state key Laboratory of Marine Pollution City University of Hong KongHong KongChina Department of Chemistry City University of Hong KongHong KongChina state key Laboratory of Marine Environmental science Xiamen UniversityXiamen 361005China Department of Marine sciences University of ConnecticutGrotonCT 06340USA Department of Biomedical sciences City University of Hong KongHong KongChina shenzhen key Laboratory for the sustainable Use of Marine Biodiversity Research Centre for the Oceans and Human HealthCity University of Hong Kong Shenzhen Research InstituteShenzhen 518057China

Rhizobium bacteria are known as symbionts of legumes for developing nodules on plant roots and fixing N2 for the host plants but unknown for associations with dinoflagellates.Here,we detected,isolated,and characterized a Rhizobium species from the marine toxic dinoflagellate Gambierdiscus culture.Its 16s rRNA gene(rDNA)is 99%identical to that of Rhizobium rosettiformans,and the affiliation is supported by the phylogenetic placement of its cell wall hydrolase-encoding gene(cwh).Using quantitative PCR of 16s rDNA and cwh,we found that the abundance of this bacterium increased during the late exponential growth phase of Gambierdiscus and under nitrogen limitation,suggesting potential physiological interactions between the dinoflagellate and the bacterium.This is the first report of dinoflagellate-associated Rhizobium bacterium,and its prevalence and ecological roles in dinoflagellate-Rhizobium relationships remain to be investigated in the future.

关键词： Rhizobium Gambierdiscus 16s rRNA gene Cell wall hydrola Edited by Chengchao Chen

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Prediction of Bandwidth of Metamaterial Antenna Using Pearson kernel-Based Techniques

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Computers, Materials & Continua 2024年第3期78卷 3449-3467页

作者： sherly Alphonse s.Abinaya sourabh paul school of Computer science and Engineering Vellore Institute of TechnologyChennai600127India school of Electronics Engineering Vellore Institute of TechnologyChennai600127India

The use of metamaterial enhances the performance of a specific class of antennas known as metamaterial antennas.The radiation cost and quality factor of the antenna are influenced by the size of the antenna.Metamaterial antennas allow for the circumvention of the bandwidth restriction for small antennas.Antenna parameters have recently been predicted using machine learning algorithms in existing literature.Machine learning can take the place of the manual process of experimenting to find the ideal simulated antenna parameters.The accuracy of the prediction will be primarily dependent on the model that is used.In this paper,a novel method for forecasting the bandwidth of the metamaterial antenna is proposed,based on using the Pearson kernel as a standard kernel.Along with these new approaches,this paper suggests a unique hypersphere-based normalization to normalize the values of the dataset attributes and a dimensionality reduction method based on the Pearson kernel to reduce the dimension.A novel algorithm for optimizing the parameters of Convolutional Neural Network(CNN)based on improved Bat Algorithm-based Optimization with Pearson Mutation(BAO-PM)is also presented in this work.The prediction results of the proposed work are better when compared to the existing models in the literature.

关键词： Antenna pearson optimization bandwidth metamaterial

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Application of a simplified ADM1 for full-scale anaerobic co-digestion of cattle slurry and grass silage:assessment of input variability

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Frontiers of Environmental science & Engineering 2024年第4期18卷 125-139页

作者： sofia Tisocco sören Weinrich Gary Lyons Michael Wills Xinmin Zhan paul Crosson Civil Engineering College of Science and EngineeringUniversity of GalwayGalwayH91 TK33Ireland Teagasc Animal and Bioscience Research Department Animal and Grassland Research and Innovation CentreDunsanyC15 PW93Ireland Biochemical Conversion Department Deutsches Biomasseforschungszentrum gemeinnützige GmbHLeipzig 04347Germany Faculty of Energy·Building services·Environmental Engineering Münster University of Applied SciencesSteinfurt 48565Germany Agri-Food and Biosciences Institute HillsboroughBT266DRUK Ryan Institute University of GalwayGalwayH91 TK33Ireland MaREI Research Centre for Energy Climate and MarineRyan InstituteUniversity of GalwayGalwayH91 TK33Ireland

Mathematical modeling of anaerobic digestion is a powerful tool to predict gas yields and optimize the process.The Anaerobic Digestion Model No.1(ADM1)is a widely implemented model for this purpose.However,modeling full-scale biogas plants is challenging due to the extensive substrate and parameter characterization required.This study describes the modification of the ADM1 through a simplification of individual process phases,characteristic components and required parameters.Consequently,the ability of the simplified model to simulate the co-digestion of grass silage and cattle slurry was evaluated using data from a full-scale biogas plant.The impacts of substrate composition(crude carbohydrate,protein and lipid concentration)and variability of carbohydrate degradability on simulation results were assessed to identify the most influential parameters.Results indicated that the simplified version was able to depict biogas and biomethane production with average model efficiencies,according to the Nash-sutcliffe efficiency(NsE)coefficient,of 0.70 and 0.67,respectively,and was comparable to the original ADM1(average model efficiencies of 0.71 and 0.63,respectively).The variability of crude carbohydrate,protein and lipid concentration did not significantly impact biogas and biomethane output for the data sets explored.In contrast,carbohydrate degradability seemed to explain much more of the variability in the biogas and methane production.Thus,the application of simplified models provides a reliable basis for the process simulation and optimization of full-scale agricultural biogas plants.

关键词： ADM1 Agricultural feedstocks Biogas technology Input variability Parameter estimation

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A new Late Miocene Hystrix(Hystricidae,Rodentia)from Turkey

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Integrative Zoology 2024年第3期19卷 548-563页

作者： kazım HALAÇLAR Ayla sEVIM EROL Tolga kÖROG˘LU paul RUMMY Tao DENG serdar MAYDA Natural History Application and Research Centre Ege UniversityTurkey key Laboratory of Vertebrate Evolution and Human Origins Institute of Vertebrate Paleontology and PaleoanthropologyChinese Academy of SciencesBeijingPeople’s Republic of China Department of Anthropology Faculty of Languages and HistoryGeographyAnkara UniversityTurkey Department of Biology Faculty of SciencesEge UniversityTurkey

TheÇorakyerler fossil locality in Anatolia reveals unique faunal elements.This study introduces Hystrix kayae sp.nov.,a new Late Miocene porcupine initially classified as Hystrix sp.Yavuz et al.,2018.This finding expands our knowledge of Late Miocene Anatolian porcupines,bringing the total number of known species to three.H.kayae sp.***.is larger than Hystrix aryanensis and exhibits greater upper cheek tooth crown height.Its cheek tooth morphology differs from Hystrix depereti,and it possesses distinctive U-shaped choanae unlike Hystrix primigenia.TheÇorakyerler locality may predate sites with H.aryanensis and H.primigenia but aligns temporally with Hystrix parvae localities.This study enhances our understanding of Late Miocene porcupine diversity in Anatolia,emphasizing the importance ofÇorakyerler in unraveling the evolutionary history of these fascinating mammals.

关键词： Çorakyerler Hystrix Late Miocene paleobiogeography Turkey

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strain-dependent alpha-synuclein spreading in Parkinson's disease and multiple system atrophy

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Neural Regeneration Research 2024年第12期19卷 2581-2582页

作者： shuyu Zhang paul Lingor Department of Neurology School of MedicineUniversity Hospital rechts der IsarTechnical University of MunichMunichGermany Department of Neurology University Medical Center GöttingenGöttingenGermany Center for Biostructural Imaging of Neurodegeneration University Medical Center GöttingenGöttingenGermany

Parkinson's disease(PD) and atypical Parkinsonian syndromes,such as multiple system atrophy(MsA) and Dementia with Lewy bodies,are neurodegenerative movement disorders characterized by the accumulation of alphasynuclein(a-syn) aggregates.These a-syn aggregates propagate throughout the brain in a prion-like manner,where pathological a-syn recruits endogenous a-syn to form insoluble aggregates.Oligomeric forms representing intermediates on the way to insoluble aggregates result in the most pronounced neurotoxic effects.

关键词： atrophy endogenous atypical

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The great catastrophe: causes of the Permo-Triassic marine mass extinction

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National science Review 2024年第1期11卷 37-50页

作者： paul B.Wignall David P.G.Bond school of Earth & Environment University of Leeds school of Environmental sciences University of Hull

The marine losses during the Permo-Triassic mass extinction were the worst ever experienced. All groups were badly affected, especially amongst the benthos(e.g. brachiopods, corals, bryozoans, foraminifers,ostracods). Planktonic populations underwent a fundamental change with eukaryotic algae being replaced by nitrogen-fixing bacteria, green-sulphur bacteria, sulphate-reducing bacteria and prasinophytes. Detailed studies of boundary sections, especially those in south China, have resolved the crisis to a ～55 kyr interval straddling the Permo-Triassic boundary. Many of the losses occur at the beginning and end of this interval painting a picture of a two-phase extinction. Improved knowledge of the extinction has been supported by numerous geochemical studies that allow diverse proposed extinction mechanisms to be studied. A transition from oxygenated to anoxic-euxinic conditions is seen in most sections globally, although the intensity and timing shows regional variability. Decreased ocean ventilation coincides with rapidly rising temperatures and many extinction scenarios attribute the losses to both anoxia and high temperatures.Other kill mechanisms include ocean acidification for which there is conflicting support from geochemical proxies and, even less likely, siltation(burial under a massive influx of terrigenous sediment) which lacks substantive sedimentological evidence. The ultimate driver of the catastrophic changes at the end of the Permian was likely siberian Trap eruptions and their associated carbon dioxide emissions with consequences such as warming, ocean stagnation and acidification. Volcanic winter episodes stemming from siberian volcanism have also been linked to the crisis, but the short-term nature of these episodes(s) and the overwhelming evidence for rapid warming during the crisis makes this an unlikely cause. Finally, whilst the extinction is well studied in equatorial latitudes, a different history is found in northern Boreal latitudes including an earlier crisis which merits furthe

关键词： ocean anoxia ocean acidification siltation productivity collapse volcanic winter

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Applying Earth Observation Technologies to Economic Consequence Modeling:A Case study of COVID‑19 in Los Angeles County,California

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International Journal of Disaster Risk science 2024年第1期15卷 18-31页

作者： Fynnwin Prager Marina T.Mendoza Charles k.Huyck Adam Rose paul Amyx Gregory Yetman kristy F.Tiampo California state University Dominguez HillsCarsonCA 90747USA ImageCat Inc.Long BeachCA 90802USA University of southern California Los AngelesCA 90015USA CIEsIN–Center for International Earth science Information Network Columbia UniversityPalisadesNY 10964USA Cooperative Institute for Research in Environmental sciences(CIREs) University of Colorado BoulderBoulderCO 80309USA

Earth observation(EO) technologies,such as very high-resolution optical satellite data available from Maxar,can enhance economic consequence modeling of disasters by capturing the fine-grained and real-time behavioral responses of businesses and the public.We investigated this unique approach to economic consequence modeling to determine whether crowd-sourced interpretations of EO data can be used to illuminate key economic behavioral responses that could be used for computable general equilibrium modeling of supply chain repercussions and resilience effects.We applied our methodology to the COVID-19 pandemic experience in Los Angeles County,California as a case study.We also proposed a dynamic adjustment approach to account for the changing character of EO through longer-term disasters in the economic modeling context.We found that despite limitations,EO data can increase sectoral and temporal resolution,which leads to significant differences from other data sources in terms of direct and total impact results.The findings from this analytical approach have important implications for economic consequence modeling of disasters,as well as providing useful information to policymakers and emergency managers,whose goal is to reduce disaster costs and to improve economic resilience.

关键词： Computable general equilibrium models COVID-19 Disaster economic impacts Earth observation Economic consequence analysis Los Angeles County

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