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基于MOTOmed训练的阶梯式护理结合穴位按摩对后循环缺血性卒中患者肢体功能及康复锻炼积极性的影响

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临床医学研究与实践 2024年第9期9卷 161-164页

作者：张雪王佳耀闫小峰延安大学咸阳医院陕西咸阳712000

目的探究基于MOTOmed训练的阶梯式护理结合穴位按摩在后循环缺血性卒中患者中的应用效果。方法选择2018年4月至2021年10月我院接收的92例后循环缺血性卒中患者进行研究,以随机数字表法将其分为对照组、观察组,每组46例。对照组接受常规... 详细信息

目的探究基于MOTOmed训练的阶梯式护理结合穴位按摩在后循环缺血性卒中患者中的应用效果。方法选择2018年4月至2021年10月我院接收的92例后循环缺血性卒中患者进行研究,以随机数字表法将其分为对照组、观察组,每组46例。对照组接受常规护理干预,观察组在对照组基础上给予基于MOTOmed训练的阶梯式护理结合穴位按摩。比较两组的干预效果。结果干预后,观察组的Berg平衡量表(BBS)、Fugl-Meyer运动功能评定法(FMA)评分均高于对照组(P<0.05)。干预后,观察组的积极举动、动作标准度评分均高于对照组,放弃举动评分低于对照组(P<0.05)。干预后,观察组的脑卒中患者姿势控制量表(PASS)评分、握力值均高于对照组(P<0.05)。结论基于MOTOmed训练的阶梯式护理结合穴位按摩可提高后循环缺血性卒中患者的康复锻炼积极性,增强姿势控制力、握力值,促进肢体功能恢复,值得推广。

关键词：基于MOTOmed训练的阶梯式护理穴位按摩后循环缺血性卒中肢体功能康复锻炼

Valence electronic engineering of superhydrophilic Dy-evoked Ni-MOF outperforming RuO_(2) for highly efficient electrocatalytic oxygen evolution

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Journal of Energy Chemistry 2024年第3期90卷 244-252,I0007页

作者： Zhiyang Huang Miao Liao Shifan Zhang Lixia wang Mingcheng Gao Zuyang Luo Tayirjan Taylor Isimjan Bao wang Xiulin yang Guangxi Key Laboratory of Low Carbon Energy Materials School of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGulin 541004GuangxiChina State Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Saudi Arabia Basic Industries Corporation(SABIC)at King Abdullah University of Science and Technology(KAUST) Thuwal 23955-6900Saudi Arabia

Tackling the problem of poor conductivity and catalytic stability of pristine metal-organic frameworks(MOFs) is crucial to improve their oxygen evolution reaction(OER) ***,we introduce a novel strategy of dysprosium(Dy) doping,using the unique 4f orbitals of this rare earth element to enhance electrocatalytic activity of *** method involves constructing Dy-doped Ni-MOF(Dy@Ni-MOF) nanoneedles on carbon cloth via a Dy-induced valence electronic perturbation *** and density functional theory(DFT) calculations reveal that Dy doping can effectively modify the electronic structure of the Ni active centers and foster a strong electronic interaction between Ni and *** resulting benefits include a reduced work function and a closer proximity of the d-band center to the Fermi level,which is conducive to improving electrical conductivity and promoting the adsorption of oxygen-containing ***,the Dy@Ni-MOF achieves superhydrophilicity,ensuring effective electrolyte contact and thus accelerating reaction kinetics,Ex-situ and in-situ analysis results manifest Dy_(2)O_(3)/NiOOH as the actual active ***,Dy@Ni-MOF shows impressive OER performance,significantly surpassing ***,the overall water splitting device with Dy@NiMOF as an anode delivers a low cell voltage of 1.51 V at 10 mA cm^(-2) and demonstrates long-term stability for 100 h,positioning it as a promising substitute for precious metal catalysts.

关键词： Dy@Ni-MOF Dy incorporation Electronic interaction Superhydrophilicity Oxygen evolution reaction

一株异养硝化-好氧反硝化-积累磷的细菌Klebsiella pneumoniae A15的筛出及其特性研究

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中国环境科学 2024年第4期44卷 2286-2296页

作者：刘妍袁林江陈希周旭红陈雪娇夏大朋西安建筑科技大学环境与市政工程学院陕西省环境工程重点实验室西北水资源与环境生态教育部重点实验室陕西西安710055 西安工程大学城市规划与市政工程学院陕西西安710048

利用以淀粉为唯一碳源的缺氧/好氧序批式系统从污水处理厂活性污泥中分离得到一株肺炎克雷伯氏杆菌A15(Klebsiella pneumoniae A15),该菌具有异养硝化-好氧反硝化和积聚磷能力.它的最佳生长条件:碳源为柠檬酸钠,C/N为30,P/N为0.2,pH为7... 详细信息

利用以淀粉为唯一碳源的缺氧/好氧序批式系统从污水处理厂活性污泥中分离得到一株肺炎克雷伯氏杆菌A15(Klebsiella pneumoniae A15),该菌具有异养硝化-好氧反硝化和积聚磷能力.它的最佳生长条件:碳源为柠檬酸钠,C/N为30,P/N为0.2,pH为7.在最佳条件下,氨氮、亚硝酸盐和硝酸盐的最高去除率分别为96.27%、99.22%和100%;相应的去除速率分别为1.77、2.08和1.86mg/(L⋅h).该菌株对浓度为8mg/L的磷酸盐和1300mg/L的COD最高去除率分别为100%和95%.氮平衡分析发现该菌可以利用氨氮、硝氮以及亚硝氮产生气态氮,表现出优异的异养硝化和好氧反硝化活性.对菌株胞内磷和EPS中磷的分析结合DAPI染色发现有82%的磷储存在菌株细胞内并且以多聚磷酸盐形式储存,其余磷在EPS中.对该菌株的napA、nirS、nosZ和ppk基因的成功扩增也表明其好氧反硝化和积聚磷能力.本研究展示了一株在脱氮除磷系统中具有特定功能的细菌.

关键词：异养硝化除磷菌 DAPI染色聚磷颗粒

Inhibition of proliferation,migration,and invasiveness of bladder cancer cells through SAPCD2 knockdown

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BIOCELL 2024年第1期48卷 97-109页

作者： CHONG SHEN JIAJUN yan YU REN ZHIRONG ZHU XIAOLONG ZHANG SHUIXIANG TAO Department of Urology Shaoxing People’s HospitalShaoxing HospitalZhejiang University School of MedicineShaoxingChina

Introduction:Bladder cancer(BC)has a high incidence and mortality rate *** anaphasepromoting complex domain containing 2(SAPCDC2)is over-expressed in a variety of ***:This study investigated the effects of SAPCD2 knockdown on BC ***:T24 and UMUC3 cell models and the xenografted BC tumor model with SAPCD2 knockdown were established to observe the malignant phenotype of BC cells by cell counting kit-8 assay,colony formation test,wound healing,and Transwell assay,mRNA and proteins expressions were measured with quantitative real-time polymerase chain reaction,western blotting,and tissue *** chloride agonist on the Wnt/β-catenin pathway was used to clarify the molecular mechanism of SAPCD2 ***:SAPCD2 expression was significantly higher in BC cell lines than in SVHUC-1 ***2 knockdown inhibited viability and cloning,hindered the G0/G1 phase of the cell cycle in UMUC3 and T24 cells,and decreased the migration and invasiveness of BC ***2 knockdown inhibited expression levels of cyclin D1,cyclin B1,N-cadherin,vimentin,Snail,β-catenin,c-Myc,and cyclin-dependent kinase 4,while the P21 and E-cadherin were raised by SAPCD2 ***,lithium chloride reversed the effects of SAPCD2 knockdown on the expression levels of the above proteins in UMUC3 and T24 *** vivo,SAPCD2 knockdown inhibited the volume,weight,and expression of Ki-67 andβ-catenin in tumors and increased the E-cadherin ***:SAPCD2 knockdown inhibits the malignant phenotype of BC via a pathway involvingβ-catenin.

关键词： Bladder cancer SAPCD2 β-catenin c-Myc CDK4 Lithium chloride

BCCLR:A Skeleton-Based Action Recognition with Graph Convolutional Network Combining Behavior Dependence and Context Clues

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Computers, Materials & Continua 2024年第3期78卷 4489-4507页

作者： Yunhe wang Yuxin Xia Shuai Liu College of Information Science and Engineering Institute of Interdisciplinary StudiesHunan Normal UniversityChangsha410081China School of Educational Sciences Institute of Interdisciplinary StudiesHunan Normal UniversityChangsha410081China

In recent years,skeleton-based action recognition has made great achievements in Computer Vision.A graph convolutional network(GCN)is effective for action recognition,modelling the human skeleton as a spatio-temporal *** GCNs define the graph topology by physical relations of the human ***,this predefined graph ignores the spatial relationship between non-adjacent joint pairs in special actions and the behavior dependence between joint pairs,resulting in a low recognition rate for specific actions with implicit correlation between joint *** addition,existing methods ignore the trend correlation between adjacent frames within an action and context clues,leading to erroneous action recognition with similar ***,this study proposes a learnable GCN based on behavior dependence,which considers implicit joint correlation by constructing a dynamic learnable graph with extraction of specific behavior dependence of joint *** using the weight relationship between the joint pairs,an adaptive model is *** also designs a self-attention module to obtain their inter-frame topological relationship for exploring the context of *** the shared topology and the multi-head self-attention map,the module obtains the context-based clue topology to update the dynamic graph convolution,achieving accurate recognition of different actions with similar *** experiments on public datasets demonstrate that the proposed method achieves better results and realizes higher quality representation of actions under various evaluation protocols compared to state-of-the-art methods.

关键词： Action recognition deep learning GCN behavior dependence context clue self-attention

Toward understanding the cross-linking from molecular chains to aggregates by engineering terminals of supramolecular hyperbranched polysiloxane

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Aggregate

Aggregate 2024年第1期5卷 228-235页

作者： Yuanbo Zhang Junshan Yuan Jingzhi Hu Zhixuan Tian Weixu Feng Hongxia yan Shaanxi Key Laboratory of Macromolecular Science and Technology Xi’an Key Laboratory of Hybrid Lumines-cent Materials and Photonic DeviceSchool of Chemistry and Chemical engineeringNorthwestern Polytechnical UniversityXi’anChina

Crosslinking thermosets with hyperbranched polymers confers them superior comprehensive ***,it still remains a further understanding of polymer crosslinking from the molecular chains to the role of *** this study,three hyperbranched polysiloxane structures(HBPSi-R)are synthesized as model macromolecules,each featuring distinct terminal groups(R denotes amino,epoxy,and vinyl groups)while similar molecular backbone(Si-O-C).These structures were subsequently copolymerized with epoxy monomers to construct interpenetrating HBPSi-R/epoxy/anhydride co-polymer *** spatial molecular configuration and flexible Si-O-C branches of HBPSi-R endow them with remarkable reinforcement and toughening ***,an optimum impact strength of 28.9 kJ mol^(−1) is achieved with a mere 3%loading of HBPSi-V,nearly three times that of the native epoxy(12.9 kJ mol^(−1)).By contrasting the terminal effects,the aggregation states and crosslinking modes were proposed,thus clarifying the supramolecular-dominant aggregation mechanism and covalent-dominant dispersion mechanism,which influences the resulting material *** work underscores the significance of aggregate science in comprehending polymer crosslinking and provides theoretical insights for tailoring material properties at a refined molecular level in the field of polymer science.

关键词： aggregates crosslinking hyperbranched polymers

ConvNeXt-UperNet-Based Deep Learning Model for Road Extraction from High-Resolution Remote Sensing Images

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Computers, Materials & Continua 2024年第8期80卷 1907-1925页

作者： Jing wang Chen Zhang Tianwen Lin Geographic Information and Tourism College Chuzhou UniversityChuzhou239000China Anhui Province Key Laboratory of Physical Geographic Environment Chuzhou UniversityChuzhou239000China

When existing deep learning models are used for road extraction tasks from high-resolution images,they are easily affected by noise factors such as tree and building occlusion and complex backgrounds,resulting in incomplete road extraction and low *** propose the introduction of spatial and channel attention modules to the convolutional neural network ***,ConvNeXt is used as the backbone network,which cooperates with the perceptual analysis network UPerNet,retains the detection head of the semantic segmentation,and builds a new model ConvNeXt-UPerNet to suppress noise *** on the open-source DeepGlobe and CHN6-CUG datasets and introducing the DiceLoss on the basis of CrossEntropyLoss solves the problem of positive and negative sample *** results show that the new network model can achieve the following performance on the DeepGlobe dataset:79.40%for precision(Pre),97.93% for accuracy(Acc),69.28% for intersection over union(IoU),and 83.56% for mean intersection over union(MIoU).On the CHN6-CUG dataset,the model achieves the respective values of 78.17%for Pre,97.63%for Acc,65.4% for IoU,and 81.46% for *** with other network models,the fused ConvNeXt-UPerNet model can extract road information better when faced with the influence of noise contained in high-resolution remote sensing *** also achieves multiscale image feature information with unified perception,ultimately improving the generalization ability of deep learning technology in extracting complex roads from high-resolution remote sensing images.

关键词： Deep learning semantic segmentation remote sensing imagery road extraction

Underestimated benefits of NO_(x) control in reducing SNA and O_(3) based on missing heterogeneous HONO sources

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Frontiers of Environmental Science & Engineering 2024年第3期18卷 57-67页

作者： Shuping Zhang Haotian Zheng Jun Liu Yao Shi Tianzeng Chen Chaoyang xue Fenfen Zhang Yueqi Jiang Xiangping Zhang Shovan Kumar Sahu Biwu Chu Jia Xing State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China China Academy of Civil Aviation Science and Technology Beijing 100028China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Yellow River Institute of Hydraulic Research Zhengzhou 450003China Centre for Climate Research Singapore Meteorological Service SingaporeSingapore 537054Singapore

Substantial NO_(x) emission mitigation is crucial for the synergistic reduction of particulate matter and ozone(O_(3))pollution in *** traditional air quality model does not consider heterogeneous HONO chemistry,leading to uncertainties in estimating the benefits of NO_(x) *** studies have shown that the parameterization of heterogeneous HONO formation increases both the simulated value of sulfate–nitrate–ammonium(SNA)and that of O_(3),thus adding the heterogeneous reactions of HONO into air quality models inevitably leads to changes in the estimated benefits of NO_(x) *** we investigated the changes in SNA and O_(3)concentrations from NO_(x) emission reduction before and after adding heterogeneous HONO reactions in the Community Multi-Scale Air Quality(CMAQ)*** heterogeneous HONO reactions in the simulation improved the benefits of NO_(x) reduction in terms of SNA control in *** 80%NO_(x) reduction,the reduction in SNA increased from 36.9%without considering heterogeneous HONO reactions to 42.8%with heterogeneous HONO *** reduction in the maximum daily 8h average(MDA8)O_(3)in summer caused by NO_(x) reduction increased slightly from 4.7%to 5.2%after adding heterogeneous HONO *** results in this study highlight the enhanced effectiveness of NO_(x) controls for the reduction of SNA and O_(3)after considering heterogeneous HONO formation in a complex chemical ambient,demonstrating the importance of NO_(x) controls in reducing PM2.5 and O_(3)pollution in China.

关键词： Heterogeneous HONO NO_(x) reduction PM_(2.5) O_(3)

Aspartoacylase suppresses prostate cancer progression by blocking LYN activation

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Military Medical Research 2024年第2期11卷 180-205页

作者： Hong Weng Kang-Ping Xiong wang wang Kai-Yu Qian Shuai Yuan Gang wang Fang Yu Jun Luo Meng‑Xin Lu Zhong‑Hua yang Tao Liu Xing Huang Hang Zheng Xing-Huan wang Department of Urology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Center for Evidence‑Based and Translational Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China Department of Biological Repositories Zhongnan Hospital of Wuhan UniversityWuhan 430071China Hubei Key Laboratory of Tumor Biological Behaviors Wuhan 430071China Department of Pathology Zhongnan Hospital of Wuhan UniversityWuhan 430071China Center for Pathology and Molecular Diagnostics Wuhan UniversityWuhan 430071China Wuhan Research Center for Infectious Diseases and Cancer Chinese Academy of Medical SciencesWuhan 430071China

Background:Globally,despite prostate cancer(PCa)representing second most prevalent malignancy in male,the precise molecular mechanisms implicated in its pathogenesis remain ***,elucidating the key molecular regulators that govern disease progression could substantially contribute to the establishment of novel therapeutic strategies,ultimately advancing the management of ***:A total of 49 PCa tissues and 43 adjacent normal tissues were collected from January 2017 to December 2021 at Zhongnan Hospital of Wuhan *** advanced transcriptomic methodologies were employed to identify differentially expressed mRNAs in *** expression of aspartoacylase(ASPA)in PCa was thoroughly evaluated using quantitative real-time PCR and Western blotting *** elucidate the inhibitory role of ASPA in PCa cell proliferation and metastasis,a comprehensive set of in vitro and in vivo assays were conducted,including orthotopic and tumor-bearing mouse models(n=8 for each group).A combination of experimental approaches,such as Western blotting,luciferase assays,immunoprecipitation assays,mass spectrometry,glutathione S-transferase pulldown experiments,and rescue studies,were employed to investigate the underlying molecular mechanisms of ASPA's action in *** Student‘s t-test was employed to assess the statistical significance between two distinct groups,while one-way analysis of variance was utilized for comparisons involving more than two groups.A two-sided P<0.05 was deemed to indicate statistical ***:ASPA was identified as a novel inhibitor of PCa *** expression of ASPA was found to be significantly down-regulated in PCa tissue samples,and its decreased expression was independently associated with patients’prognosis(HR=0.60,95%CI 0.40–0.92,P=0.018).Our experiments demonstrated that modulation of ASPA activity,either through gain-or loss-of-function,led to the suppression or enhancement of PCa cell proliferation,mig

关键词： Prostate cancer Aspartoacylase LYN JNK AP-1 C-Jun Phosphorylation