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Optimizing the key parameter to accelerate the recovery of AMOC under a rapid increase of greenhouse gas forcing

Atmospheric and Oceanic Science Letters 2025年第1期18卷 39-45页

作者： Haolan ren Fei Zheng Tingwei Cao Qiang Wang International Center for Climate and Environment Science(ICCES) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina College of Oceanography Hohai UniversityNanjingChina CAS Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of Sciences and Pilot National Laboratory for Marine Science and Technology(Qingdao)QingdaoChina

Atlantic Meridional Overturning Circulation(AMOC)plays a central role in long-term climate variations through its heat and freshwater transports,which can collapse under a rapid increase of greenhouse gas forcing in climate *** studies have suggested that the deviation of model parameters is one of the major factors in inducing inaccurate AMOC *** this work,with a low-resolution earth system model,the authors try to explore whether a reasonable adjustment of the key model parameter can help to re-establish the AMOC after its *** a new optimization strategy,the extra freshwater flux(FWF)parameter is determined to be the dominant one affecting the AMOC’s *** traditional ensemble optimal interpolation(EnOI)data assimilation and new machine learning methods are adopted to optimize the FWF parameter in an abrupt 4×CO_(2) forcing experiment to improve the adaptability of model parameters and accelerate the recovery of *** results show that,under an abrupt 4×CO_(2) forcing in millennial simulations,the AMOC will first collapse and then re-establish by the default FWF parameter ***,during the parameter adjustment process,the saltier and colder sea water over the North Atlantic region are the dominant factors in usefully improving the adaptability of the FWF parameter and accelerating the recovery of AMOC,according to their physical relationship with FWF on the interdecadal timescale.

关键词： Recovery of AMOC 4×CO_(2) forcing Key parameter Parameter estimation Data assimilation Machine learning

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人血浆中孟鲁司特的LC-MS/MS法测定

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中国医药工业杂志 2012年第1期43卷 50-52页

作者：刘钫何丽娟任进民杨汉煜赵曦石药集团中奇制药技术(石家庄)有限公司河北石家庄050051 河北医科大学第二医院河北石家庄050000

建立了液相色谱-串联质谱法测定人血浆中的孟鲁司特。采用C18色谱柱,以辛伐他汀为内标,乙腈-水-甲酸(86︰14︰0.3)为流动相,ESI源正离子检测方式,多反应监测,监测离子对m/z 586.3→422.5(孟鲁司特)、m/z441.4→325.2(辛伐他汀)。孟鲁司... 详细信息

建立了液相色谱-串联质谱法测定人血浆中的孟鲁司特。采用C18色谱柱,以辛伐他汀为内标,乙腈-水-甲酸(86︰14︰0.3)为流动相,ESI源正离子检测方式,多反应监测,监测离子对m/z 586.3→422.5(孟鲁司特)、m/z441.4→325.2(辛伐他汀)。孟鲁司特在1～1 000 ng/ml浓度范围内线性关系良好。回收率为96.7%～110.6%,RSD小于7.0%。

关键词：孟鲁司特液相色谱-串联质谱测定

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人血浆中氟康唑的LC-MS/MS法测定

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中国医药工业杂志 2010年第9期41卷 683-685页

作者：杜旭召赵曦张彦玲杨汉煜任进民石药集团中奇制药技术(石家庄)有限公司河北石家庄050051 河北医科大学第二医院河北石家庄050000

建立了LC-MS/MS法测定人血浆中氟康唑的浓度。采用C18色谱柱,以甲磺酸酚妥拉明为内标,流动相为甲醇-2mmol/L乙酸铵溶液(含0.05%甲酸)(60︰40),电喷雾离子化源,正离子多离子反应监测,监测离子为m/z307.2→238.2(氟康唑)和m/z282.2→212.2... 详细信息

建立了LC-MS/MS法测定人血浆中氟康唑的浓度。采用C18色谱柱,以甲磺酸酚妥拉明为内标,流动相为甲醇-2mmol/L乙酸铵溶液(含0.05%甲酸)(60︰40),电喷雾离子化源,正离子多离子反应监测,监测离子为m/z307.2→238.2(氟康唑)和m/z282.2→212.2(甲磺酸酚妥拉明)。氟康唑在0.03～10μg/ml浓度范围内线性关系良好。提取回收率大于90.9%,日内和日间RSD均小于7%。

关键词：氟康唑液相色谱-串联质谱血药浓度测定

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Impact of coking plant to heavy metal characteristics in groundwater of surrounding areas:Spatial distribution,source apportionment and risk assessments

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Journal of Environmental Sciences 2025年第3期149卷 688-698页

作者： Congqing Wang Wanjun Wang ChaoWang Shixing ren Yingjun Wu Meicheng Wen Guiying Li Taicheng An Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control Guangdong Hong Kong-Macao Joint Laboratory for Contaminants Exposure and HealthInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Guangzhou Key Laboratory Environmental Catalysis and Pollution Control Key Laboratory of City Cluster Environmental Safety and Green developmentSchool of Environmental Science and EngineeringGuangdong University of TechnologyGuangzhou 510006China

Coking industry is a potential source of heavy metals(HMs)***,its impacts to the groundwater of surrounding residential areas have not been well *** study investigated the pollution characteristics and health risks of HMs in groundwater nearby a typical coking *** HMs including Fe,Zn,Mo,As,Cu,Ni,Cr,Pb and Cd were *** average concentration of total HMswas higher in the nearby area(244.27μg/L)than that of remote area away the coking plant(89.15μg/L).The spatial distribution of pollution indices including heavy metal pollution index(HPI),Nemerow index(NI)and contamination degree(CD),all demonstrated higher values at the nearby residential areas,suggesting coking activity could significantly impact the HMs distribution *** sources of HMs were identified by Positive Matrix Factorization(PMF)model,which indicated coal washing and coking emission were the dominant sources,accounted for 40.4%,and 31.0%,*** ingestionwas found to be the dominant exposure pathway with higher exposure dose to children than *** quotient(HQ)values were below 1.0,suggesting negligible non-carcinogenic health risks,while potential carcinogenic risks were from Pb and Ni with cancer risk(CR)values>10−*** Carlo simulation matched well with the calculated results with HMs concentrations to be the most sensitive *** study provides insights into understanding how the industrial coking activities can impact the HMs pollution characteristics in groundwater,thus facilitating the implement of HMs regulation in coking industries.

关键词： Coking industry Heavy metal Groundwater Spatial distribution Source apportionment Monte Carlo simulation

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

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

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

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

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

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Theoretical calculation on degradation mechanism of novel copolyesters under CALB enzyme

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Journal of Environmental Sciences 2025年第3期149卷 242-253页

作者： Yuanyang ren Zhiwen Cheng Luwei Cheng Yawei Liu Mingyue Li Tao Yuan Zhemin Shen School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants Shanghai 200240China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China

Poly(butylene succinate-co-furandicarboxylate)(PBSF)and poly(butylene adipateco-furandicarboxylate)(PBAF)are novel furandicarboxylic acid-based biodegradable copolyesters with great potential to replace fossil-derived terephthalic acid-based copolyesters such as poly(butylene succinate-co-terephthalate)(PBST)and poly(butylene adipate-co-terephthalate)(PBAT).In this study,quantum chemistry techniques after molecular dynamics simulations are employed to investigate the degradationmechanism of PBSF and PBAF catalyzed by Candida antarctica lipase B(CALB).Computational analysis indicates that the catalytic reaction follows a four-step mechanism resembling the ping-pong bibi mechanism,with the initial two steps being acylation reactions and the subsequent two being hydrolysis ***,the first step of the hydrolysis is identified as the rate-determining ***,by introducing single-point mutations to expand the substrate entrance tunnel,the catalytic distance of the first acylation step ***,energy barrier of the rate-determining step is decreased in the PBSF system by site-directed mutations on key residues increasing hydrophobicity of the enzyme’s active *** study unprecedently show the substrate binding pocket and hydrophobicity of the enzyme’s active site have the potential to be engineered to enhance the degradation of copolyesters catalyzed by CALB.

关键词： Poly(butylene succinate-co-furandicarboxylate) Poly(butylene adipate-co-furandicarboxylate) Candida antarctica lipase B Degradation mechanism Site-directed mutations

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Nickel-copper alloying arrays realizing efficient co-electrosynthesis of adipic acid and hydrogen

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Journal of Energy Chemistry 2025年第02期101卷 7-15页

作者： Xuhui ren Qianyu Zhang Yun Tong Guorong Zhou Cong Lin Yanying Zhao Pengzuo Chen School of Chemistry and Chemical Engineering Key Laboratory of Surface & Interface Science of Polymer Materials of Zhejiang Province Zhejiang Sci-Tech University

Constructing electrocatalytic overall reaction technology to couple the electrosynthesis of adipic acid with energy-saving hydrogen production is of significant for sustainable energy ***,the development of highly-active bifunctional electrocatalysts remains a ***,3D hierarchical nickel-copper alloying arrays with dendritic morphology are manufactured by a simple electrodeposition process,standing for the excellent bifunctional electrocatalyst towards the co-production of adipic acid and H2from cyclohexanone and *** membrane-free flow electrolyzer of Cu0.81Ni0.19/NF shows the superior electrooxidation performance of ketone-alcohol（KA） oil with high faradaic efficiencies of over 90% for adipic acid and H2,robust stability over 200 h as well as a high yield of 0.6 mmol h-1for adipic acid at 100 mA ***-situ spectroscopy indicates the Cu0.81Ni0.19alloy contributes to forming more active NiOOH species to involve in the conversion of cyclohexanone to adipic acid,while the proposed reaction pathway undergoes the 2-hydroxycyclohexanone and 2,7-oxepanedione ***,the theoretical calculations confirm that the optimal electronic interaction,boosted reaction kinetics as well as improved adsorption free energy of reaction intermediates,synergistically endows Cu0.81Ni0.19alloy with superior bifunctional performance.

关键词： Adipic acid Cu0.81Ni0.19 alloy Cyclohexanone oxidation reaction Hydrogen evolution reaction Hydrogen fuel

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Development of ESIPT-based specific fluorescent probes for bioactive species based on the protection-deprotection of the hydroxyl

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Chinese Chemical Letters 2025年第2期36卷 49-56页

作者： Haixian ren Yuting Du Xiaojing Yang Fangjun Huo Le Zhang Caixia Yin Department of Chemistry Xinzhou Normal University Research Institute of Applied Chemistry Shanxi University Department of Chemistry The University of Texas at Austin Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Key Laboratory of Materials for Energy Conversion and Storage of Shanxi Province Institute of Molecular ScienceShanxi University

Excited-state intramolecular proton-transfer (ESIPT) based fluorescence probes are particularly attractive due to their unique properties including environmental sensitivity, a large Stokes shift, and potential for ratiometric sensing. In general, ESIPT-based fluorophore incorporates an intramolecular hydrogen bonding interaction between a hydrogen bond donor (–OH and NH2are common) and a hydrogen bond acceptor(C=N and C=O). More, protection–deprotection of hydroxyl group as hydrogen bond donor could induce an off-on switch of ESIPT-based emission. Therefore, protection–deprotection of hydroxyl group has been the widely used strategy to design fluorescent probes, where the potential key issue is selecting a protective group that can specifically leave in the presence of the target analyte. In this review, we mainly summarize the specific protecting groups (sites) and deprotection mechanisms for biologically important species (including reactive sulfur species (RSS), reactive oxygen species (ROS), enzymes, etc.), and analyze the advantages and disadvantages of different protection mechanisms from some aspects including probe stability, selectivity, response rate and assay system, etc. Based on the aforementioned, we further point out the current challenges and the potential future direction for developing ESIPT-based probes.

关键词： Bioimaging ESIPT Fluorescence probe Protection-deprotection Specificity

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Biomechanical Analysis of Scoliosis Orthopedic Force Loading with Human Avoidance Effect

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 187-196页

作者： ZHU Ye ren Dong ZHANG Shuang CAO Qian School of Mechanical Engineering Dalian Jiaotong UniversityDalianLiaoning116028China Department of orthopedics Dalian Municipal Central HospitalDalianLiaoning116033China Department of Radiology Second Affiliated Hospital of Dalian Medical UniversityDalianLiaoning116027China

Due to the lack of human avoidance analysis,the orthosis cannot accurately apply orthopedic force during orthopedic,resulting in poor orthopedic ***,the relationship between the human body’s active avoidance ability and force application is studied to achieve accurate loading of orthopedic ***,a high-precision scoliosis model was established based on computed tomography data,and the relationship between orthopedic force and Cobb angle was *** 9 subjects were selected for avoidance ability test grouped by body mass index calculation,and the avoidance function of different groups was *** avoidance function corrected the application of orthopedic *** results show that the optimal correction force calculated by the finite element method was 60 *** obese group had the largest avoidance ability,followed by the standard group and the lean *** the orthopedic force was 60 N,the Cobb angle was reduced from 33.77°to 20°,the avoidance ability of the standard group at 50 N obtained from the avoidance function was 20.28% and 10.14 N was actively ***,when 50 N was applied,60.14 N was actually generated,which can achieve the orthopedic effect of 60 N numerical simulation *** avoidance effect can take the active factors of the human body into consideration in the orthopedic process,so as to achieve a more accurate application of orthopedic force,and provide data reference for clinicians in the orthopedic process.

关键词： scoliosis biomechanics human active avoidance ability body mass index

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A New Approach for the Calculation of Slope Failure Probability with Fuzzy Limit-State Functions

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Fluid Dynamics & Materials Processing 2025年第1期21卷 141-159页

作者： Jianing Hao Dan Yang Guanxiong ren Ying Zhao Rangling Cao Department of Engineering Management Sichuan College of Architectural TechnologyDeyang61800China Department of Transport and Municipal Engneering Sichuan College of Architectural TechnologyDeyang61800China Department of Basic Teaching Sichuan College of Architectural TechnologyDeyang61800China Sichuan Hongye Construction Software Co. Ltd.Chengdu610081China

This study presents an innovative approach to calculating the failure probability of slopes by incorporating fuzzylimit-state functions,a method that significantly enhances the accuracy and efficiency of slope stability *** traditional probabilistic techniques,this approach utilizes a least squares support vector machine(LSSVM)optimized with a grey wolf optimizer(GWO)and K-fold cross-validation(CV)to approximate the limit-statefunction,thus reducing computational *** novelty of this work lies in its application to one-dimensional(1D),two-dimensional(2D),and three-dimensional(3D)slope models,demonstrating its versatility andhigh *** proposed method consistently achieves error margins within 3%of Monte Carlo simulation(MCS)results,while substantially reducing computation time,particularly for 2D and 3D *** makes theapproach highly practical for real-world engineering ***,by applying fuzzy mathematics tohandle uncertainties in geotechnical properties,the method offers a more realistic and comprehensive understandingof slope *** water is the main factor influencing the stability of slopes,this aspect is investigatedby calculating the phreatic line after the change in water *** examples are used to show that the failureprobability of a slope under water wading condition can increase by more than 20%(increase rates in 1D,2D and3D conditions being 25%,27%and 31%,respectively)compared with the natural *** influence ofdiverse fuzzy membership functions—linear,normal,and Cauchy—on failure probability is also *** not only provides a strategy for better calculation of the slope failure probability but also pioneers theintegration of computational intelligence,fuzzy logic and fluid-dynamics in geotechnical engineering,presentingan innovative and efficient tool for slope stability analysis.

关键词： Least Squares Support Vector Machine(LSSVM) Grey Wolf Optimizer(GWO) slope stability analysis fuzzy set theory failure probability estimation

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