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Food Science and Human Wellness 2024年第4期13卷 1929-1942页

作者： Rui liu Fangxin Chu Zheng Yan hanqing Chen School of Food and Biological Engineering Hefei University of TechnologyHefei 230601China Engineering Research Center of Bio-Process Ministry of EducationHefei University of TechnologyHefei 230601China

Three novel acidic polysaccharide fractions(OFPP-1,OFPP-2,OFPP-3)with different m olecular weights(803.7,555.1 and 414.5 k Da)were isolated from the peeled Opuntia dillenii Haw.fruits by alkali-extraction,graded alcohol precipitation and column chromatography.Structural analysis indicated that OFPPs were pectic polysaccharides consisting of rhamnose,arabinose and galactose residues.The backbone of OFPP-1 consisted of a repeating unit→6-α-D-Galp A-(1→2)-α-L-Rhap-(1→with T-α-D-Galp A-(1→6)-α-D-Galp A-(1→4)-α-D-Glcp-(1→,T-β-D-Xylp-(1→6)-α-D-Galp A-(1→4)-α-D-Glcp-(1→or T-α-D-Galp A-(1→3)-α-L-Araf-(1→as the side chains.The backbone of OFPP-2 consisted of a disaccharide repeating unit→2)-α-L-Rhap-(1→4)-β-D-Galp A-(1→with T-β-L-Araf-(1→as the branches substituted at the O-4 position of→2,4)-α-LRhap-(1→.Whereas the backbone of OFPP-3 was→2,4)-α-L-Rhap-(1→2)-α-L-Rhap-(1→3)-β-L-Araf-(1→or→2,4)-α-L-Rhap-(1→2)-α-L-Rhap-(1→4)-β-D-Galp A-(1→,which was branched at the O-4 position of→2,4)-α-L-Rhap-(1→.Moreover,these three polysaccharide fractions could protect Huh-7 cells against H2O2-induced oxidative stress to different extents by decreasing the MDA content and increasing the SOD,CAT,GSH-Px activities and the GSH level in the Huh-7 cells.These results suggest that OFPPs have the potential to be used as natural antioxidants.

关键词： Opuntia dillenii Haw.fruits Polysaccharide Alkali extraction Structural characterization Oxidative stress

Application of deep learning for informatics aided design of electrode materials in metal-ion batteries

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Green Energy & Environment 2024年第5期9卷 877-889页

作者： Bin Ma Lisheng Zhang Wentao Wang hanqing Yu Xianbin Yang Siyan Chen Huizhi Wang Xinhua liu School of Transportation Science and Engineering Beihang UniversityBeijing102206China College of Automotive Engineering Jilin UniversityChangchun130022China Department of Mechanical Engineering Imperial College LondonLondonSW72BXUK

To develop emerging electrode materials and improve the performances of batteries,the machine learning techniques can provide insights to discover,design and develop battery new materials in high-throughput way.In this paper,two deep learning models are developed and trained with two feature groups extracted from the Materials Project datasets to predict the battery electrochemical performances including average voltage,speciﬁc capacity and speciﬁc energy.The deep learning models are trained with the multilayer perceptron as the core.The Bayesian optimization and Monte Carlo methods are applied to improve the prediction accuracy of models.Based on 10 types of ion batteries,the correlation coefﬁcients are maintained above 0.9 compared to DFT calculation results and the mean absolute error of the prediction results for voltages of two models can reach 0.41 V and 0.20 V,respectively.The electrochemical performance prediction times for the two trained models on thousands of batteries are only 72.9 ms and 75.7 ms.Besides,the two deep learning models are applied to approach the screening of emerging electrode materials for sodium-ion and potassium-ion batteries.This work can contribute to a high-throughput computational method to accelerate the rational and fast materials discovery and design.

关键词： Cathode materials Material design Electrochemical performance prediction Deep learning Metal-ion batteries

Enhancement and Removal of PM2.5 by Cold and Warm Air Masses Accompanying Certain Synoptic Weather Systems across Hangzhou, China during 2014–2020

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Journal of Meteorological Research 2024年第3期38卷 620-634页

作者： Bu YU Feng CHEN hanqing KANG Bin ZHU Hongnian liu Hangzhou Meteorological Bureau Hangzhou International Urbanology Research Center for Urban Governance Studies Zhejiang Institute of Meteorological Sciences Key Laboratory for Aerosol–Cloud–Precipitation of China Meteorological Administration Nanjing University of Information Science&Technology School of Atmospheric Sciences Nanjing University

Local air pollution is strongly affected by synoptic weather systems,such as fronts,troughs,low-altitude vortices,or high-altitude ridges.Nevertheless,few studies have analyzed the meteorological properties of cold or warm air masses associated to these systems and their impact on local air quality.In this study,hourly observations of fine particulate matter (diameter of up to 2.5μm,i.e.,PM2.5),wind （V）,temperature （T）,pressure （P）,and precipitation （R）,acquired in Hangzhou in 2014–2020,were analyzed.From this analysis,weather patterns were categorized into 27types;89 and 94 cases illustrating the passage of warm and cold air masses over Hangzhou were identified,respectively;the influence of air mass temperature,wind speed,and wind direction on PM2.5concentrations and local accumulation or removal was quantified.The main results are as follows.（1） Pollution events occurred more frequently for cold than for warm air masses,but average pollutant concentration was lower for cold air masses;（2） 48%of the cold air mass cases corresponded to PM2.5decreases and 52%to PM2.5increases,with strong cold air masses(?T24h>4℃;|V|average>4 m s-1) markedly reducing local pollution,but weak cold air masses (?T24h4℃) reduced the PM2.5concentration whereas weaker winds (|V|average<2 m s-1) increased it;and （4） PM2.5concentration decreased sharply within 4 h after the passage of strong cold air masses,but more gradually within 14 h after the passage of strong warm air masses.These results considerably improve the current understanding of the influence of cold and warm air masses on local pollution patterns.

关键词： weather type air mass enhancement removal meteorological condition

Differences in leaf cuticular wax induced by whole-genome duplication in autotetraploid sour jujube

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Horticultural Plant Journal 2024年第1期10卷 66-76页

作者： Meng Li Chenxing Zhang Lu Hou Xinru liu hanqing Zhao Xiaoming Pang Wenhao Bo Yingyue Li National Engineering Research Center of Tree Breeding and Ecological Restoration College of Biological Sciences and TechnologyBeijing Forestry UniversityBeijing 100083China Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants Ministry of EducationCollege of Biological Sciences and TechnologyBeijing Forestry UniversityBeijing 100083China The Tree and Ornamental Plant Breeding and Biotechnology Laboratory of National Forestry and Grassland Administration Beijing Forestry UniversityBeijing 100083China

Drought-resistant plants exhibit strong water retention capability.In this regard,the autotetraploid sour jujube leaves exhibit better water retention than diploid leaves.Morphological comparisons and physiological comparisons of diploid and autotetraploid leaves showed that the autotetraploid leaves had thicker leaf cuticles and more leaf wax accumulation than the diploid leaves,which could reduce cuticle permeability and improve the drought tolerance of leaves.In this study,the cuticular wax crystalloids on the adaxial and abaxial sides of young and mature jujube leaves were observed in the two ploidy types,and unique cuticular wax crystalloids covering a large area of the cuticle on autotetraploid sour jujube leaves may provide an advantage in reducing leaf non-stomata transpiration and improving plant drought tolerance.Based on the transcriptome,115 differentially expressed genes between diploids and autotetraploids were further analyzed and found to be involved in the accumulation of cuticular wax components,including terpenoids,fatty acids,and lipids,as well as ABC transporter and wax biosynthetic process.Finally,14 genes differentially expressed between glossy autotetraploid leaves and nonglossy diploid leaves,such as LOC107414787,LOC107411574 and LOC107413721,were screened as candidate genes by qRT-PCR analysis.This findings provided insights into how polyploidization improved drought tolerance.

关键词： Autotetraploid Jujube Drought tolerance Cuticular wax RNA-seq

Combined effects of climate and land-use changes on the alpha and beta functional diversities of terrestrial mammals in China

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Science China Life Sciences 2024年

作者： Chao Zhang Yumei Li Wei Wang Zexuan Gao hanqing liu Yonggang Nie Key Laboratory of Animal Ecology and Conservation Biology Institute of Zoology Chinese Academy of Sciences College of Life Sciences Hebei University University of Chinese Academy of Sciences

Climate and land-use changes are predicted to impact biodiversity,threatening ecosystem services and functions.However,their combined effects on the functional diversity of mammals at the regional scale remain unclear,especially at the beta level.Here,we use projected climate and land-use changes in China to investigate their potential effects on the alpha and beta functional diversities of terrestrial mammals under low-and high-emission scenarios.In the current projection,we showed strong positive spatial correlations between functional richness and species richness.Functional evenness (FEve),functional specialization (FSpe),and functional originality (FOri)decreased with species richness,and functional divergence (FDiv) increased first and then plateaued.Functional beta diversity was dominated by its nestedness component,in contrast to the taxonomic facet.Potential changes in species richness are more strongly influenced by land-use change under the low-emission scenario,while under the high-emission scenario,they are more strongly influenced by climate change.Changes in functional richness (FRic) were inconsistent with those in species richness,with a magnitude of decreases greater than predicted from species richness.Moreover,mammal assemblages showed potential functional differentiation (FD) across the country,and the trends exceeded those towards taxonomic differentiation (TD).Our findings help us understand the processes underlying biodiversity responses to global changes on multiple facets and provide new insight for conservation plans.

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Single-Cell Sequencing:Technical Development and Applications in Neuroscience Research

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Wuhan University Journal of Natural Sciences 2020年第5期25卷 369-376页

作者： YANG Dan liu hanqing Department of Cardiology Renmin Hospital of Wuhan UniversityWuhan 430060HubeiChina Department of Thyroid and Breast Surgery Renmin Hospital of Wuhan UniversityWuhan 430060HubeiChina

Understanding the structure and function of life requires the study of its basic constituent unit—cells.Cell bio-function depends largely on the coordinated expression of different genes.Traditional sequencing methods(such as DNA sequencing,and bulk RNA-seq)are performed on cell populations or tissue samples,in which biological differences between cells can be easily obscured by sample averaging and technical noises.Single-cell sequencing,an emerging technique in recent years,contributes extensively to understanding biological phenomena and studying the mechanism of diseases.Sequencing the genome of individual cells could reveal gene mutations,while single-cell transcriptome sequencing helps uncover the expression variability of genes,and most importantly,heterogeneous cells from the same samples.In this review,we will give an overview of the single-cell sequencing technique and its current applications in one of the most popular research fields:neuroscience research.

关键词： single-cell sequencing technique neuroscience

考虑启动压力的非牛顿幂律流体产能计算新方法

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油气井测试 2024年第1期33卷 1-5页

作者：刘超陈存良赵汉卿中海石油(中国)有限公司天津分公司天津300452

针对现有稠油油藏非牛顿幂律流体的产能计算方法缺乏实用性的问题,基于非牛顿幂律流体的产能公式,考虑非牛顿幂律流体特性和启动压力梯度,建立了稠油油藏产能计算新方法。根据幂律流体径向稳定渗流模型建立定向井产量模型,结合Joshi水... 详细信息

针对现有稠油油藏非牛顿幂律流体的产能计算方法缺乏实用性的问题,基于非牛顿幂律流体的产能公式,考虑非牛顿幂律流体特性和启动压力梯度,建立了稠油油藏产能计算新方法。根据幂律流体径向稳定渗流模型建立定向井产量模型,结合Joshi水平井产能公式,利用儒柯夫斯基变换将平面椭圆流变换为平面径向流,并根据水电相似原理的等值渗流阻力法,推导建立了考虑启动压力梯度的非牛顿幂律流体的水平井产能新公式。矿场应用表明,新方法计算结果与现场实际生产结果对比,误差均小于10%,在允许误差范围内,满足生产需求,具有较好的实用性。新方法为同类型油藏的产能评价提供了一定的技术借鉴。

关键词：稠油油藏非牛顿幂律流体水平井产能公式启动压力平面径向流

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汛期洪水资源化利用对三峡水库淤积影响研究

湖泊科学 2024年第2期36卷 634-644页

作者：赵汗青任实闫静张成潇刘志武高宇中国长江三峡集团有限公司武汉430010 水资源高效利用与工程安全国家工程研究中心南京210024 河海大学水利水电学院南京210098

作为三峡水库诸多优化调度方式中的一种,洪水资源化利用对水库淤积的影响受到持续关注,开展针对场次洪水的相关研究有助于进一步深化对水库淤积科学问题的认识,有望为调度工作提供一定的技术支撑。通过2013年以来的历史水文资料分析与... 详细信息

作为三峡水库诸多优化调度方式中的一种,洪水资源化利用对水库淤积的影响受到持续关注,开展针对场次洪水的相关研究有助于进一步深化对水库淤积科学问题的认识,有望为调度工作提供一定的技术支撑。通过2013年以来的历史水文资料分析与水沙运动数值模拟,探究了入库洪水的输沙过程以及洪水资源化利用对库区淤积与水库排沙的影响。结果表明:洪峰流量介于30000~55000 m 3/s的中小洪水是近年三峡入库洪水的主要形式,随着入库洪峰流量的增加,洪水的地区组成逐渐趋向于金沙江下游、嘉陵江共同主导;常年回水区淤积、水库排沙是“消化”入库泥沙的两种主要途径,且以前者的作用为主;针对Ⅰ-3类入库洪水,坝前起调水位Z 0的抬升或洪水资源化利用对水库淤积的影响主要在于造成了库区淤积的重分布,次要在于改变了水库的排沙作用,在Z 0≤150 m条件下,洪水资源化利用对水库淤积的影响相对较小;针对典型洪水,当武隆洪峰流量Q′WL与入库洪峰流量Q′RK的比值小于1/5(即Q′WL/Q′RK<1/5)且朱沱洪峰流量Q′ZT与北碚洪峰流量Q′BB的比值介于3/2和3之间(即3/2

关键词：三峡水库洪水资源化利用场次洪水坝前起调水位入库水沙体量地区组成

增强地热系统停止运行后温度恢复过程的数值模拟

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中国科学院大学学报（中英文） 2024年第2期41卷 222-230页

作者：刘汉青胡才博赵桂萍中国科学院大学地球与行星科学学院、中国科学院计算地球动力学重点实验室北京100049

在增强地热系统(EGS)运行过程中,干热岩(HDR)人工储层的温度会迅速下降,外界的热量补充速度远远跟不上系统热量提取的速度,同时也会对人工储层的流体压力产生巨大的影响,EGS停止运行以后人工储层温度和压力场会逐渐的恢复到初始状态。... 详细信息

在增强地热系统(EGS)运行过程中,干热岩(HDR)人工储层的温度会迅速下降,外界的热量补充速度远远跟不上系统热量提取的速度,同时也会对人工储层的流体压力产生巨大的影响,EGS停止运行以后人工储层温度和压力场会逐渐的恢复到初始状态。前人对干热岩开采过程中的温度场和流体压力场变化做了大量研究,但很少关注停止开采以后人工储层的温度恢复过程和流体压力场变化,而停止开采以后的温度场恢复过程对于新的地热井选址和废弃地热井的重新利用具有重要意义。利用数值模拟软件COMSOL Multiphysics建立双井EGS运行过程和停止运行之后两个阶段的二维热-孔隙流体耦合数值模型,模型考虑了放射性生热的贡献和不同热导率的影响。研究表明:在EGS运行期间,热对流是热量交换的主要方式,人工储层温度下降过程很快,19 a后EGS已经到达运行寿命,68 a后HDR人工储层已经失去开采价值。而地热开采停止以后,人工储层温度的自然恢复过程长达万年,热传导是主要的热量传递和温度恢复方式,热导率越高,人工储层温度恢复越快。

关键词：干热岩温度恢复热传导热导率

《民法典》夫妻共同财产中知识产权的缺位与纾解

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宜宾学院学报 2024年第2期24卷 66-73,90页

作者：刘汗青华侨大学法学院福建泉州362021

《民法典》婚姻家庭编(第一千零六十二条)关于夫妻共同财产的规定采用列举式与概括式相结合的方式,明确知识产权收益属于夫妻共同财产,但对知识产权收益的源头——知识产权——这一财产归属未作规定。知识产权在夫妻共同财产中的缺位导... 详细信息

《民法典》婚姻家庭编(第一千零六十二条)关于夫妻共同财产的规定采用列举式与概括式相结合的方式,明确知识产权收益属于夫妻共同财产,但对知识产权收益的源头——知识产权——这一财产归属未作规定。知识产权在夫妻共同财产中的缺位导致司法实践面临抵牾与困境。知识产权应当作为夫妻共同财产的证成需立足于夫妻身份关系,充分考虑知识产权是财产权的本质属性与婚后所得财产共同制理念。现实纾解之法是通过司法解释将“知识产权”或“知识产权的预期利益”纳入“其他应当归共有的财产”这一兜底性条款当中,或者赋予非知识产权人一方“制约权”;未来破解之法在于今后立法上对《民法典》进行修法时将第一千零六十二条进行重构,以“知识产权(人身权除外)”替换“知识产权收益”。

关键词：民法典夫妻身份知识产权共同财产