检索结果-南通市图书馆

SmartMat 2023年第3期4卷 70-83页

作者： shipeng dong Zihao Wu Mingjie Wang Xiaoyan Sun Liang Mao State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjingChina Nanjing Qixia District Hospital NanjingChina

The toxicokinetic(TK)model‐derived kinetic bioconcentration factor(BCFk)provides a quantitatively comparable index to estimate the bioaccumulation potential of nanoparticles(NPs)that barely reach thermodynamic equilibrium in aquatic organisms,but experimental data are limited for various *** the present study,a machine learning model was applied to offer reliable in silico predictions for the dynamic body burden of diverse NPs to derive corresponding parameters for the TK *** developed eXtreme Gradient Boosting‐derived TK(XGB‐TK)model was applied to predict BCFk results for a broad range of metallic or carbonaceous NPs,with an appreciable prediction R2 of *** BCFk values were predicted based on a random combination of selected variable features,revealing that their bioaccumulation potential showed an overall negative correlation with NP density or organism *** applying importance analysis and partial dependence plots,NP density and organism size were revealed to be the top essential features that impact the bioaccumulation *** conjunctively used XGB‐TK model enabled a prior comparison for diverse NPs and straightforward derivation on the dependency of features,which could also guide the bioaccumulation mechanism exploration and experimental condition formulation.

关键词： aquatic organism BCF bioaccumulation machine learning nanoparticles toxicokinetic models

Uptake of graphene enhanced the photophosphorylation performed by chloroplasts in rice plants

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Nano Research 2020年第12期13卷 3198-3205页

作者： Kun Lu Danlei Shen shipeng dong Chunying Chen Sijie Lin Shan Lu Baoshan Xing Liang Mao State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentNanjing UniversityNanjing210093China CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience National Center for Nanoscience and TechnologyBeijing100190China College Environmental Science&Engineering State Key Laboratory of Pollution Control and Resource ReuseTongji UniversityShanghai200092China State Key Laboratory of Pharmaceutical Biotechnology School of Life SciencesNanjing UniversityNanjing210023China Stockbridge School of Agriculture University of MassachusettsAmherstMA01003USA

New and enhanced functions were potentially imparted to the plant organelles after interaction with *** this study,we found that∼44%and∼29%of the accumulated graphene in the rice leaves passively transported to the chloroplasts and thylakoid,respectively,significantly enhanced the fluorescence intensity of chloroplasts,and promoted about 2.4 times higher adenosine triphosphate production than that of *** enhancement of graphene on the photophosphorylation was ascribed to two reasons:One is that graphene facilitates the electron transfer process of photosystem II in thylakoid,and the other is that graphene protects the photosystem II against photo-bleaching by acting as a scavenger of reactive oxygen ***,our work here confirmed that graphene translocating in the thylakoid promoted the photosynthetic activity of chloroplast in vivo and in vitro,providing new opportunities for designing biomimetic materials to enhance the solar energy conversion systems,especially for repairing or increasing the photosynthesis activity of the plants grown under stress environment.

关键词： graphene photophosphorylation enhancement photosystem II ROS scavenging protection

Predicting Bioaccumulation of Nanomaterials:Modeling Approaches with Challenges

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Environment & Health 2024年第4期2卷 189-201页

作者： Hang Zeng Zhuoyan Lv Xiaoyan Sun Yang Tong Wei Wu shipeng dong Liang Mao State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentChemistry and Biomedicine Innovation CenterNanjing UniversityNanjing 210023China Nanjing Qixia District Hospital Nanjing 210023China High Tech Research and Development Center Ministry of Science and TechnologyBeijing 100044China

Understanding the bioaccumulation of nanomaterials(NMs)by organisms is essential in evaluating their potential ***,the experimental determination of bioaccumulation is substantially challenging,which spawned the development of prediction approaches via establishing models for various *** modeling approaches,such as the biotic ligand model(BLM),partition coefficients,accumulation factor models,and quantitative structure−activity relationship(QSAR)models,were initially used in the application of NMs,aiming to provide a reliable quantitative dose in a resource-saving *** methods,which are based on the uptake patterns of substances,probably lead to deviated results due to the different uptake behaviors of *** this study,currently developed models to evaluate the bioaccumulation of NMs are critically reviewed,with their feasibilities and limitations being *** addition,the recently developed machine learning amended models have taken great efforts in realizing biological behaviors of NMs in organisms by providing in silico *** this data-driven approach has limitations in mechanism exploration,it may give different insights into the bioaccumulation model establishment and critical feature identification.

关键词： Modeling Forecast Bioaccumulation Nanomaterials Machine learning

Rodent Fauna in Southeast Forest Region of Heilongjiang Province of China and Its Damage on Agriculture and Forestry

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Animal Husbandry and Feed Science 2014年第4期6卷 201-203页

作者： Jin Zhimin dong shipeng Liu Wenyang Fu Dahang Zhu Xianbing College of Life Science and Technology Mudanjiang Normal University

[Objective]The paper was to understand the rodent fauna in southeast forest region of Heilongjiang Province and its harm to agriculture and forests.[Methods]The southeast forest region of Heilongjiang Province was surveyed from March2008 to December2013 using night trap method combined with integrated collation of literature. [Result]There were totally 21 species of rodents in southeast forest region of Heilongjiang Province,belonging to 16 genera,8 families,3orders,and the fauna was mainly consisted of palaearctic realm; in terms of captured number,Clethrionomys rufocanus was the dominant species in forest region,while Apodemus agrarius was the dominant species in fields. The number of rodents was closely related to stand age,and the density of rodents was lower in the forest land with longer stand age and greater density. Rodents caused greater harm to timber forest and middle-aged forest than economic forest and young forest,and their damage on newly planted seedlings was particularly greater. The number of rodent population was the highest in summer,but the smallest in spring,while its interannual changes were stable. [Conclusion]The study provided a scientific basis for forestry management and rodent control,which also offered the basic biological data for the study of rodents.

关键词： Heilongjiang Province Rodent Fauna Study

Rapid oxidation of black phosphorus induced by copper ions via promoting oxygen bonding and phosphate desorption

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

National Science Open 2024年第5期3卷 100-113页

作者： Zhiyu Zhu Sha Yang Kun Lu shipeng dong Xiaoyan Sun Jieyin Zheng Shixiang Gao Wei Liu Liang Mao State Key Laboratory of Pollution Control and Resource Reuse School of the EnvironmentChemistry and Biomedicine Innovation CenterNanjing UniversityNanjing 210093China Nano Structural Materials Center School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China School of Environmental Science and Engineering Zhejiang Gongshang UniversityHangzhou 310018China Nanjing Qixia District Hospital Nanjing 210046China Cambridge A-Level Centre Nanjing Jinling High SchoolNanjing 210005China

Black phosphorus(BP)has garnered significant interest in the field of biomedicine because of its exceptional *** oxidation product of BP phosphate has been utilized in numerous studies for the purpose of repairing bone defects and inducing apoptosis and autophagy in cancer ***,this process has drawbacks in terms of low yield and a slow rate of phosphate *** this study,we found that the oxidation rate of BP was increased 120-fold and the yield proportion of phosphate BP product was increased from 30%to 85%with the presence of less than 0.1%copper ions(Cu^(2+))in the reaction *** enhancement was attributed to the fact that the presence of Cu^(2+)promoted the bonding of oxygen on the BP surface and then the desorption of phosphate molecules from the BP *** study offers a novel perspective on the process of BP oxidation and introduces innovative concepts for the development of biological drug delivery systems capable of rapid decomposition.

关键词： black phosphorus reaction pathway reaction efficiency copper ions reaction mechanism

在线全文

学校读者我要写书评

暂无评论

基于深度模型股指预测研究

现代信息科技 2021年第16期5卷 100-101,104页

作者：董世鹏河北经贸大学河北石家庄050061

在长短期记忆网络(LSTM)中引入自注意力机制应用于股票指数预测中,使模型可以处理不同时期的权值,加强了模型对历史数据趋势信息的提取能力。利用LSTM和Attention机制结合的LSTM-Attention神经网络应用于股票预测,对沪深300指数近10年... 详细信息

在长短期记忆网络(LSTM)中引入自注意力机制应用于股票指数预测中,使模型可以处理不同时期的权值,加强了模型对历史数据趋势信息的提取能力。利用LSTM和Attention机制结合的LSTM-Attention神经网络应用于股票预测,对沪深300指数近10年数据进行预测研究。实验结果表明,在LSTM改进的神经网络LSTM-Attention的预测效果优于传统LSTM神经网络模型的预测效果。

关键词：自注意力机制股票指数预测长短期记忆网络

在线全文

学校读者我要写书评

暂无评论

深度学习目标检测方法综述

中国图象图形学报 2020年第4期25卷 629-654页

作者：赵永强饶元董世鹏张君毅西安交通大学软件学院社会智能与复杂数据处理实验室西安710049 西安交通大学深圳研究院深圳518057

目标检测的任务是从图像中精确且高效地识别、定位出大量预定义类别的物体实例。随着深度学习的广泛应用,目标检测的精确度和效率都得到了较大提升,但基于深度学习的目标检测仍面临改进与优化主流目标检测算法的性能、提高小目标物体检... 详细信息

目标检测的任务是从图像中精确且高效地识别、定位出大量预定义类别的物体实例。随着深度学习的广泛应用,目标检测的精确度和效率都得到了较大提升,但基于深度学习的目标检测仍面临改进与优化主流目标检测算法的性能、提高小目标物体检测精度、实现多类别物体检测、轻量化检测模型等关键技术的挑战。针对上述挑战,本文在广泛文献调研的基础上,从双阶段、单阶段目标检测算法的改进与结合的角度分析了改进与优化主流目标检测算法的方法,从骨干网络、增加视觉感受野、特征融合、级联卷积神经网络和模型的训练方式的角度分析了提升小目标检测精度的方法,从训练方式和网络结构的角度分析了用于多类别物体检测的方法,从网络结构的角度分析了用于轻量化检测模型的方法。此外,对目标检测的通用数据集进行了详细介绍,从4个方面对该领域代表性算法的性能表现进行了对比分析,对目标检测中待解决的问题与未来研究方向做出预测和展望。目标检测研究是计算机视觉和模式识别中备受青睐的热点,仍然有更多高精度和高效的算法相继提出,未来将朝着更多的研究方向发展。

关键词：目标检测深度学习小目标多类别轻量化

酶催化降解四溴双酚A反应引起的碳纳米管急性毒性变化

在线全文

学校读者我要写书评

暂无评论

生态毒理学报 2017年第3期12卷 597-603页

作者：卢坤董仕鹏高士祥毛亮南京大学环境学院污染控制与资源化研究国家重点实验室南京210046

辣根过氧化物酶催化去除四溴双酚A的反应能够改变多壁碳纳米管(multiwall carbon nanotubes,MWCNTs)在水环境中的稳定性。为探究该反应对碳纳米管生态毒性效应的影响,选择大型蚤(Daphnia magna)和斜生栅藻(Scenedesmus obliquus)作为受... 详细信息

辣根过氧化物酶催化去除四溴双酚A的反应能够改变多壁碳纳米管(multiwall carbon nanotubes,MWCNTs)在水环境中的稳定性。为探究该反应对碳纳米管生态毒性效应的影响,选择大型蚤(Daphnia magna)和斜生栅藻(Scenedesmus obliquus)作为受试生物,分别考察了反应前后MWCNTs对大型蚤的急性毒性以及对斜生栅藻的生长抑制和藻细胞色素的影响。结果表明,在1~10 mg·L-1的暴露浓度下,与原始的MWCNTs相比,反应后的MWCNTs对大型蚤的急性毒性明显减弱。在10 mg·L-1的暴露剂量下,原始的MWCNTs造成大型蚤的死亡率高达65%,而反应后的MWCNTs引起大型蚤的死亡率仅为23%。此外,反应前后的MWCNTs对斜生栅藻的生长均有抑制作用。随着暴露浓度的增大,藻细胞密度、叶绿素a和b的含量逐渐降低。与原始MWCNTs相比,反应后的MWCNTs对斜生栅藻的毒性明显减弱。上述研究结果为评价MWCNTs的环境风险提供了基础数据。

关键词：碳纳米管四溴双酚A 大型蚤斜生栅藻毒性环境风险

在线全文

学校读者我要写书评

暂无评论

机器学习在纳米材料风险评估中的应用

生态毒理学报 2022年第5期17卷 139-151页

作者：武子豪张司雨董仕鹏毛亮污染控制与资源化研究国家重点实验室南京大学环境学院南京210023 合肥工业大学计算机与信息学院合肥230601

纳米材料的广泛应用使其排放量急剧增大,将对生态环境及人类健康造成潜在危害。因此,对纳米材料进行风险评估十分必要。纳米材料风险评估中涉及的动物实验成本高,周期长,难以满足风险评估的数据需求。为填补数据空缺,研究人员引入了计... 详细信息

纳米材料的广泛应用使其排放量急剧增大,将对生态环境及人类健康造成潜在危害。因此,对纳米材料进行风险评估十分必要。纳米材料风险评估中涉及的动物实验成本高,周期长,难以满足风险评估的数据需求。为填补数据空缺,研究人员引入了计算机建模的方法对纳米材料的理化性质、毒理学效应进行预测,取得了一定的效果。机器学习作为目前计算机建模的先进方法,在纳米材料风险评估领域展现出了良好的应用价值与前景。本文首先介绍了机器学习在纳米材料风险评估领域的应用方法及建模流程,其次结合国内外研究现状,综述了机器学习在纳米材料风险评估领域的应用实例,介绍了机器学习在纳米材料性质、毒理学效应预测中的主要进展,最后根据机器学习在纳米材料风险评估领域的应用现状,指出了该领域面临的挑战与未来发展前景。

关键词：纳米材料机器学习风险评估理化性质毒理学效应

维普期刊数据库博看期刊

漆酶/ABTS介体系统催化氧化羟基化多溴联苯醚

在线全文

学校读者我要写书评

暂无评论

环境化学 2022年第12期41卷 3855-3865页

作者：张司雨董仕鹏高士祥卢坤合肥工业大学计算机与信息学院合肥230601 南京大学环境学院污染控制与资源化研究国家重点实验室南京210023

本研究选取3-OH-BDE-7为典型的羟基化多溴联苯醚(OH-PBDEs),系统探究了3-OH-BDE-7在基于二(3-乙基-苯并噻唑-6-磺酸)二铵盐(ABTS)的漆酶介体系统中的转化动力学过程,考察了ABTS投加量、漆酶投加量、pH值和温度以及天然有机质对酶介体系... 详细信息

本研究选取3-OH-BDE-7为典型的羟基化多溴联苯醚(OH-PBDEs),系统探究了3-OH-BDE-7在基于二(3-乙基-苯并噻唑-6-磺酸)二铵盐(ABTS)的漆酶介体系统中的转化动力学过程,考察了ABTS投加量、漆酶投加量、pH值和温度以及天然有机质对酶介体系统介导3-OH-BDE-7转化过程的影响.结果表明,3-OH-BDE-7在单一漆酶体系下去除率较低,加入2.0μmol·L^(−1)ABTS后,3-OH-BDE-7去除率提高了约20倍.3-OH-BDE-7在漆酶介体系统的转化过程符合假一级动力学过程,其假一级动力学常数分别与ABTS投加量和漆酶投加量呈正相关.漆酶介体系统催化氧化3-OH-BDE-7的适宜pH值范围为3—8,适宜的温度范围为25—35℃.此外,天然有机质能够抑制3-OH-BDE-7在漆酶介体系统中的转化过程,主要原因归结于天然有机质能够与底物有机自由基发生反应,使得底物有机自由基重新回到初始状态.本研究不仅对认识羟基化多溴联苯醚在自然环境中的转化过程具有重要意义,而且为合理设计基于漆酶介体系统的废水处理工艺具有重要参考价值.

关键词：羟基化多溴联苯醚漆酶介体动力学环境因子