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In situ generated,tetrahydrosalen stabilized yttrium borohydride complex:Efficient initiator for the ring-opening polymerization of ε-caprolactone

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Chinese Chemical Letters 2009年第11期20卷 1357-1360页

作者： Jing Huang Jian Fang Yu guang ming wu Wei Lin Sun Zhi Quan Shen Key Laboratory of Macromolecule Synthesis and Functionalization Ministry of Education Department of Polymer Science and Engineering Zhejiang University Hangzhou 310027 China

In this paper, we report the preparation of a new tertrahydrosalen-stabilized yttrium complex which was employed as an initiator-precursor for the polymerization of ε-caprolactone （ε-CL） in the presence of NaBH4 to give interesting hydroxytelechelic poly（ε-caprolactone）（PCL）. The effect of [monomer]/[initiator] （[CL]/[I]）, temperature and time on the polymerization was investigated. It was found that under the condition： [CL]/[I] = 1200, 55℃, toluene： 0.5 mL, ε-CL： 0.5 mL, PCL with Mw = 32,600 and PDI = 1.47 was obtained.

关键词： Tetrahydrosalen Yttrium complex Ring-opening polymerization ε-Caprolactone

Dynamic Regulation of Hydrogen Bonding Networks and Solvation Structures for Synergistic Solar‑Thermal Desalination of Seawater and Catalytic Degradation of Organic Pollutants

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Nano-Micro Letters 2025年第2期17卷 548-565页

作者： ming‑Yuan Yu Jing wu guang Yin Fan‑Zhen Jiao Zhong‑Zhen Yu Jin Qu Beijing Key Laboratory of Advanced Functional Polymer Composites Beijing University of Chemical TechnologyBeijing 100029People’s Republic of China State Key Laboratory of Organic‑Inorganic Composites College of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing 100029People’s Republic of China

Although solar steam generation strategy is efficient in desalinating seawater,it is still challenging to achieve continuous solar-thermal desalination of seawater and catalytic degradation of organic ***,dynamic regulations of hydrogen bonding networks and solvation structures are realized by designing an asymmetric bilayer membrane consisting of a bacterial cellulose/carbon nanotube/Co_(2)(OH)_(2)CO_(3)nanorod top layer and a bacterial cellulose/Co_(2)(OH)_(2)CO_(3)nanorod(BCH)bottom ***,the hydrogen bonding networks inside the membrane can be tuned by the rich surface–OH groups of the bacterial cellulose and Co_(2)(OH)_(2)CO_(3)as well as the ions and radicals in situ generated during the catalysis ***,both SO_(4)^(2−)and HSO_(5)−can regulate the solvation structure of Na^(+)and be adsorbed more preferentially on the evaporation surface than Cl^(−),thus hindering the de-solvation of the solvated Na^(+)and subsequent nucleation/growth of ***,the heat generated by the solar-thermal energy conversion can accelerate the reaction kinetics and enhance the catalytic degradation *** work provides a flow-bed water purification system with an asymmetric solar-thermal and catalytic membrane for synergistic solar thermal desalination of seawater/brine and catalytic degradation of organic pollutants.

关键词： Solar steam generation Seawater desalination Catalytic degradation Bacterial cellulose Cobalt hydroxycarbonate nanorods

Particulate matter exposure exacerbates susceptibility to SARS-CoV-2 infection in humanized ACE2 mice

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Zoological Research 2021年第3期42卷 335-338页

作者： Teng-Yu Zhu Huan Qiu Qi-Qi Cao Zi-Lei Duan Feng-Liang Liu Tian-Zhang Song Yang Liu Ya-Qun Fang guang-ming wu Yong-Tang Zheng Wen-Jun Ding Ren Lai Lin Jin College of Life Sciences Nanjing Agricultural UniversityNanjingJiangsu 210095China Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences/Key Laboratory of Bioactive Peptides of Yunnan Province Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650223China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China Centre for Cell Lineage and Atlas Bioland LaboratoryGuangzhouGuangdong 510530China Laboratory of Environment and Health University of Chinese Academy of SciencesBeijing 100049China Kunming National High-level Biosafety Research Center for Non-Human Primates Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650107China

The global outbreak of coronavirus disease 2019(COVID-19),which is caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),as of 8 May 2021,has surpassed 150700000 infections and 3279000 deaths *** indicates that SARS-CoV-2 RNA can be detected on particulate matter(PM),and COVID-19 cases are correlated with levels of air ***,the mechanisms of PM involvement in the spread of SARS-CoV-2 remain poorly ***,we found that PM exposure increased the expression level of angiotensin-converting enzyme 2(ACE2)and transmembrane serine protease 2(TMPRSS2)in several epithelial cells and increased the adsorption of the SARS-CoV-2 spike *** of PM in a hACE2 mouse model significantly increased the expression of ACE2 and Tmprss2 and viral replication in the ***,PM exacerbated the pulmonary lesions caused by SARS-CoV-2 infection in the hACE2 *** conclusion,our study demonstrated that PM is an epidemiological factor of COVID-19,emphasizing the necessity of wearing anti-PM masks to cope with this global pandemic.

关键词： ACE2 infection involvement

Retrospective analysis of pathological types and imaging features in pancreatic cancer: A comprehensive study

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 121-129页

作者： Yang-Gang Luo Mei wu Hong-guang Chen Pathology Department Xuanhan County People’s HospitalDazhou 636150Sichuan ProvinceChina

BACKGROUND Pancreatic cancer remains one of the most lethal malignancies worldwide,with a poor prognosis often attributed to late *** the correlation between pathological type and imaging features is crucial for early detection and appropriate treatment *** To retrospectively analyze the relationship between different pathological types of pancreatic cancer and their corresponding imaging *** We retrospectively analyzed the data of 500 patients diagnosed with pancreatic cancer between January 2010 and December 2020 at our *** types were determined by histopathological examination of the surgical spe-cimens or biopsy *** imaging features were assessed using computed tomography,magnetic resonance imaging,and endoscopic *** analyses were performed to identify significant associations between pathological types and specific imaging *** There were 320(64%)cases of pancreatic ductal adenocarcinoma,75(15%)of intraductal papillary mucinous neoplasms,50(10%)of neuroendocrine tumors,and 55(11%)of other rare *** imaging features were identified in each pathological *** ductal adenocarcinoma typically presents as a hypodense mass with poorly defined borders on computed tomography,whereas intraductal papillary mucinous neoplasms present as characteristic cystic lesions with mural *** tumors often appear as hypervascular lesions in contrast-enhanced *** analysis revealed significant correlations between specific imaging features and pathological types(P<0.001).CONCLUSION This study demonstrated a strong association between the pathological types of pancreatic cancer and imaging *** findings can enhance the accuracy of noninvasive diagnosis and guide personalized treatment approaches.

关键词： Pancreatic cancer Pathological types Imaging features Retrospective analysis Diagnostic accuracy

太湖湖滨带春季悬浮物沉降特征与水体营养盐响应

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环境科学 2017年第1期38卷 95-103页

作者：祁闯王国祥吴馨婷许晓光韩睿明吴松峻南京师范大学地理科学学院南京210097 南京师范大学环境学院南京210097 江苏省地理信息资源开发与利用协同创新中心江苏省环境演变与生态建设重点实验室江苏省水土环境生态修复工程实验室南京210023

为研究湖滨带悬浮物沉降过程中水体营养盐时空分布状况,在太湖西岸湖滨带典型区域进行原位沉降实验,计算了沉降量和沉降通量,并对沉降过程中TP、TN、NH+4-N、NO-3-N测定分析.结果表明,太湖西岸湖滨带沉降通量表现为人工芦苇区>近岸无植... 详细信息

为研究湖滨带悬浮物沉降过程中水体营养盐时空分布状况,在太湖西岸湖滨带典型区域进行原位沉降实验,计算了沉降量和沉降通量,并对沉降过程中TP、TN、NH+4-N、NO-3-N测定分析.结果表明,太湖西岸湖滨带沉降通量表现为人工芦苇区>近岸无植被区>自然芦苇区>远岸无植被区,平均沉降通量分别为(1 383.40±925.60)、(1 208.67±743.50)、(278.72±142.53)、(245.58±154.25)g·(m2·d)-1,沉降第6 d以后沉降量稳定上升,沉降速率大于分解速率;经过持续15 d野外沉降实验观测,沉降过程中近岸带的TP含量是远岸带的2~3倍,且沉积物捕获器内NH+4-N和NO-3-N含量出现显著的差异(P<0.01);沉降量与水体TN和NH+4-N含量呈显著相关(P<0.01,n=42),表明沉降量的增加会导致上覆水体TN与NH+4-N含量增加;TN与NH+4-N相关系数为0.84,显示沉降量的增加可能加速氮素不同形态间相互转化,这一现象在当前太湖湖泛治理中应当予以重视.

关键词：太湖湖滨带沉降通量沉积物捕获器营养盐

Enhancement of motor functional recovery in thoracic spinal cord injury: voluntary wheel running versus forced treadmill exercise

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Neural Regeneration Research 2025年第3期20卷 836-844页

作者： Do-Hun Lee Dan Cao Younghye Moon Chen Chen Nai-Kui Liu Xiao-ming Xu Wei wu Spinal Cord and Brain Injury Research Group Stark Neurosciences Research InstituteIndiana University School of MedicineIndianapolisINUSA Department of Neurological Surgery Indiana University School of MedicineIndianapolisINUSA Department of Neuroscience Baylor College of MedicineHoustonTXUSA

Spinal cord injury necessitates effective rehabilitation strategies, with exercise therapies showing promise in promoting recovery. This study investigated the impact of rehabilitation exercise on functional recovery and morphological changes following thoracic contusive spinal cord injury. After a 7-day recovery period after spinal cord injury, mice were assigned to either a trained group(10 weeks of voluntary running wheel or forced treadmill exercise) or an untrained group. Bi-weekly assessments revealed that the exercise-trained group, particularly the voluntary wheel exercise subgroup, displayed significantly improved locomotor recovery, more plasticity of dopaminergic and serotonin modulation compared with the untrained group. Additionally, exercise interventions led to gait pattern restoration and enhanced transcranial magnetic motor-evoked potentials. Despite consistent injury areas across groups, exercise training promoted terminal innervation of descending axons. In summary, voluntary wheel exercise shows promise for enhancing outcomes after thoracic contusive spinal cord injury, emphasizing the role of exercise modality in promoting recovery and morphological changes in spinal cord injuries. Our findings will influence future strategies for rehabilitation exercises, restoring functional movement after spinal cord injury.

关键词： behavioral assessment motor function neural plasticity running wheel exercise spinal cord injury treadmill exercise voluntary exercise

Regulation and function of endoplasmic reticulum autophagy in neurodegenerative diseases

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Neural Regeneration Research 2025年第1期20卷 6-20页

作者： Xiu-Yun Zhao De-En Xu ming-Lei wu Ji-Chuan Liu Zi-Ling Shi Quan-Hong Ma Department of Neurology and Clinical Research Center of Neurological Disease the Second Affiliated Hospital of Soochow UniversitySuzhouJiangsu ProvinceChina Institute of Neuroscience&Jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psycho-Diseases Soochow UniversitySuzhouJiangsu ProvinceChina Department of Neurology Jiangnan University Medical CenterWuxiJiangsu ProvinceChina

The endoplasmic reticulum,a key cellular organelle,regulates a wide variety of cellular *** reticulum autophagy,one of the quality control systems of the endoplasmic reticulum,plays a pivotal role in maintaining endoplasmic reticulum homeostasis by controlling endoplasmic reticulum turnover,remodeling,and *** this review,we briefly describe the endoplasmic reticulum quality control system,and subsequently focus on the role of endoplasmic reticulum autophagy,emphasizing the spatial and temporal mechanisms underlying the regulation of endoplasmic reticulum autophagy according to cellular *** also summarize the evidence relating to how defective or abnormal endoplasmic reticulum autophagy contributes to the pathogenesis of neurodegenerative *** summary,this review highlights the mechanisms associated with the regulation of endoplasmic reticulum autophagy and how they influence the pathophysiology of degenerative nerve *** review would help researchers to understand the roles and regulatory mechanisms of endoplasmic reticulum-phagy in neurodegenerative disorders.

关键词： autophagy endoplasmic reticulum endoplasmic reticulum autophagy endoplasmic reticulum quality control system endoplasmic reticulum receptors endoplasmic reticulum-associated degradation neurodegeneration neurodegenerative disease selective autophagy unfolded protein response

智慧医疗情境下四方主体隐私行为的交互机理及演化趋势研究

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现代情报 2025年第1期45卷 135-149页

作者：朱光吴晗逸刘雯南京信息工程大学风险治理与应急决策研究院江苏南京210044 南京信息工程大学管理工程学院江苏南京210044

[目的/意义]本文针对智慧医疗情境下隐私行为研究在博弈主体、模型参数等方面的不足,探寻患者、医疗机构、智慧医疗平台和政府四方主体之间的隐私行为交互机理与演化趋势。[方法/过程]基于演化博弈理论,构建患者、医疗机构、智慧医疗平... 详细信息

[目的/意义]本文针对智慧医疗情境下隐私行为研究在博弈主体、模型参数等方面的不足,探寻患者、医疗机构、智慧医疗平台和政府四方主体之间的隐私行为交互机理与演化趋势。[方法/过程]基于演化博弈理论,构建患者、医疗机构、智慧医疗平台和政府四方博弈模型。根据不同参数调节下各方行为策略的收益、成本、损失等计算收益矩阵,求解主体的演化稳定策略,并考虑不同因素对主体行为策略及系统稳定状态的影响。[结果/结论]患者的隐私披露行为与披露隐私后获得的服务收益密切相关,医疗机构的隐私保护投入成本和隐私泄露概率对其隐私保护行为有显著影响,智慧医疗平台的政府奖惩、罚款收益和投入成本是影响其严格管理行为的关键因素,政府的监管行为与奖惩机制等因素密切相关。通过应用本文模型和方法,可以动态调整隐私保护机制,明确各方职责,推动智慧医疗可持续健康发展。

关键词：智慧医疗演化博弈隐私行为患者医疗机构智慧医疗平台政府

Prediction of the Charpy V-notch impact energy of low carbon steel using a shallow neural network and deep learning

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International Journal of Minerals,Metallurgy and Materials 2021年第8期28卷 1309-1320页

作者： Si-wei wu Jian Yang guang-ming Cao State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai 200444China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China

The impact energy prediction model of low carbon steel was investigated based on industrial data. A three-layer neural network, extreme learning machine, and deep neural network were compared with different activation functions, structure parameters, and training functions. Bayesian optimization was used to determine the optimal hyper-parameters of the deep neural network. The model with the best performance was applied to investigate the importance of process parameter variables on the impact energy of low carbon steel. The results show that the deep neural network obtains better prediction results than those of a shallow neural network because of the multiple hidden layers improving the learning ability of the model. Among the models, the Bayesian optimization deep neural network achieves the highest correlation coefficient of 0.9536, the lowest mean absolute relative error of 0.0843, and the lowest root mean square error of 17.34 J for predicting the impact energy of low carbon steel. Among the variables, the main factors affecting the impact energy of low carbon steel with a final thickness of7.5 mm are the thickness of the original slab, the thickness of intermediate slab, and the rough rolling exit temperature from the specific hot rolling production line.

关键词： prediction shallow neural network deep neural network impact energy low carbon steel