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浅谈工程投标书的编制

工程建设与设计 2024年第15期 261-265页

作者：何耀永黄雨晴苏荧荧广西东兴北投环保水务有限公司广西东兴538100

结合某污水处理站工程EPC总承包项目,对工程投标书的编制情况进行了分析和讨论。从标书编制工作人员和办公设备的配备两方面介绍标书编制情况,分析标书编制出现的问题,如填写信息不正确、投标文件内容不完整、人员证件没有及时更新、投... 详细信息

结合某污水处理站工程EPC总承包项目,对工程投标书的编制情况进行了分析和讨论。从标书编制工作人员和办公设备的配备两方面介绍标书编制情况,分析标书编制出现的问题,如填写信息不正确、投标文件内容不完整、人员证件没有及时更新、投标文件格式不规范、施工组织设计不合理等,针对这些问题分析产生问题的原因,并提出相应的预防和解决措施。

关键词：工程投标书编制问题措施

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项目施工安全与质量管理研究

工程建设与设计 2024年第17期 269-272页

作者：何耀永黄雨晴苏荧荧广西东兴北投环保水务有限公司广西东兴538100

以宾阳县城建凤凰印象项目事故案例为研究对象,分析并总结施工安全与质量管理问题产生的原因,论述事故发生的后果,提出相应的解决办法及预防措施,主要目的在于提高项目施工安全与质量管理水平,防止事故再次发生,促使建筑行业水平再上新... 详细信息

以宾阳县城建凤凰印象项目事故案例为研究对象,分析并总结施工安全与质量管理问题产生的原因,论述事故发生的后果,提出相应的解决办法及预防措施,主要目的在于提高项目施工安全与质量管理水平,防止事故再次发生,促使建筑行业水平再上新台阶。

关键词：项目施工安全质量管理

A case of limbic encephalitis with positive antibody to the GABAB receptor

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Chinese Medical Journal 2013年第18期126卷 3599-3600页

作者： ZHANG Yan su ying-ying GAO Yuan Department of Neurology Xuanwu Hospital of Capital Medical University Beijing 100053 China Melbourne Medical School Melbourne University Melbourne Australia

To the editor： The number of studies of antibodies against neuronal surface antigens in patients with idiopathic orparaneoplastic limbic encephalitis （LE） has increased significantly.＇ But 7-aluinobutyric acid-B receptor antibodies （GABABR-ab） in patients with LE are rare. Detailed characteristics and responses to treatment remain unclear so far. Herein, we present a case of a female patient affected with LE and GABABR-ab positive in cerebrospinal fluid （CSF）.

关键词： GABAB受体抗体阳性边缘性脑炎病例抗原抗体神经细胞 CSF

The Prevalence of HIV Drug Resistance among Treatment-failure Individuals and Treatment-nave Individuals in China:A Meta-analysis

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Biomedical and Environmental Sciences 2014年第11期27卷 858-871页

作者： WU Jing NORRIS Jessie LIU Hui Xin LI Zheng su ying ying ZHU Lin WANG Ning National Center for AIDS/STD Control and Prevention China Center for Disease and Prevention School of Agroforestry & Medicine the Open University of China

Objective To understand drug resistance prevalence among treatment-failure and treatment-nave HIV-positive individuals in *** We searched five electronic databases（Wanfang,CNKI,CQVIP,SinoMed,and Pubmed） for studies of HIV drug ***-effects models were carried out to estimate the prevalence of drug resistance among treatment-failure and treatment-nave individuals,*** The estimated nationwide rates of HIV drug resistance to any-class drugs among treatment-failure and treatment-nave individuals were 57%（95% CI：49%-65%） and 3.23%（95% CI：2.47%-4.07%）,*** the drug classes,the prevalence of resistance to PIs was low（1.45%;95% CI：0.73%-2.33%） in treatment-failure individuals,although high rates of resistance to NNRTIs（54%;95% CI：45%-63%） and NRTIs（40%;95% CI：32%-49%） were *** to any-class drugs,NNRTIs and NRTIs manifested regional differences,but resistance to PIs did *** correlations were observed between resistance to NNRTIs and NRTIs among treatment-failure and treatment-nave individuals,*** The prevalence of HIV drug resistance to NNRTIs and NRTIs among treatment-failure individuals was *** contrast,the prevalence of drug resistance among treatment-nave individuals was *** epidemics of drug resistance matched current treatment strategies and interventions in *** for HIV drug resistance is necessary to assess the sustainability and durability of current treatment regimens.

关键词： HIV Drug resistance Meta-analysis China

静脉-静脉体外膜肺氧合在成人重度急性呼吸窘迫综合征中的临床应用研究

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岭南急诊医学杂志 2024年第4期29卷 318-321,346页

作者：苏莹莹蒋崇慧侯六生李斌飞廖小卒程周广东省中山市人民医院急诊科 528403 广东省中山市人民医院重症监护室 528403 广东省中山市人民医院麻醉科 528403

目的:探讨影响体外膜肺氧合(ECMO)救治成功率的相关影响因素,以期为ECMO在重度急性呼吸窘迫综合征(ARDS)患者中的应用提供更好的临床决策。方法:回顾性分析2018年1月至2023年12月在中山市人民医院接受ECMO治疗的成人重度ARDS患者的临床... 详细信息

目的:探讨影响体外膜肺氧合(ECMO)救治成功率的相关影响因素,以期为ECMO在重度急性呼吸窘迫综合征(ARDS)患者中的应用提供更好的临床决策。方法:回顾性分析2018年1月至2023年12月在中山市人民医院接受ECMO治疗的成人重度ARDS患者的临床资料,建立数据库。根据患者是否存活出院,分为生存组及死亡组。通过单因素及Logistic回归分析,探索ECMO治疗的相关影响因素。结果:56例研究对象,平均年龄(45±12)岁,主要病因为肺部感染,其中成功撤机28例(50%),生存出院25例(44.6%)。ECMO建立48小时后,患者PaO_(2)、PaCO_(2)的确较前明显改善(P0.9条件下PaO_(2)/FiO_(2)0.9条件下PaO_(2)/FiO_(2)0.9条件下PaO_(2)/FiO_(2)<100 mmHg至启动ECMO时间间隔长以及ECMO维持期间出现MODS是影响ECMO救治成功率的重要因素。

关键词：静脉-静脉体外膜肺氧合急性呼吸窘迫综合征成人生存率预后

Early Hypothermia for Refractory Status Epilepticus

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Chinese Medical Journal 2015年第12期128卷 1679-1682页

作者： Guo-Ping Ren ying-ying su Fei Tian Yun-Zhou Zhang Dai-Quan Gao Gang Liu Wei-Bi Chen Department of Neurocritical Care Unit Xuanwu Hospital Capital Medical University Beijing 100053 China

INTRODUCTION Currently, the recommended therapy to control refractory status epilepticus （RSE） is intravenous （IV） anesthetics, such as midazolam, propofol, barbiturates, and so on. However, 15%-26% of RSE cases s... 详细信息

关键词： Anesthetic Effect Hypothermia Prognosis Refractory Status Epilepticus

DDI-Transform:A neural network for predicting drug-drug interaction events

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Quantitative Biology 2024年第2期12卷 155-163页

作者： Jiaming su ying Qian School of Computer Science and Technology Shanghai Frontiers Science Center of Molecule Intelligent SynthesesEast China Normal UniversityShanghaiChina

Drug-drug interaction(DDI)event prediction is a challenging problem,and accurate prediction of DDI events is critical to patient health and new drug ***,many machine learning-based techniques have been proposed for predicting DDI ***,most of the existing methods do not effectively integrate the multidimensional features of drugs and provide poor mitigation of noise to get effective feature *** address these limitations,we propose a DDI-Transform neural network framework for DDI event *** DDI-Transform,we design a drug structure information feature extraction module and a drug bind-protein feature extraction module to obtain multidimensional feature information.A stack of DDI-Transform layers in the DDI-Transform network module are then used for adaptive learning,thus adaptively selecting the effective feature information for *** results show that DDI-Transform can accurately predict DDI events and outperform the state-of-the-art *** on different scale datasets confirm the robustness of the method.

关键词： adaptive learning graph convolutional networks interaction prediction meta-path

Small-sized Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C for efficient alkaline and acidic hydrogen evolution reaction by an anchoring calcination strategy

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Frontiers of Chemical Science and Engineering 2024年第5期18卷 95-103页

作者： Jianxia Gu ying Zhu Haiyan Zheng Chunyi sun Zhongmin su Department of Chemistry Xinzhou Normal UniversityXinzhou 034000China School of Chemistry Northeast Normal UniversityChangchun 130024China

A novel,cheap and highly efficient Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C nanocomposite has been successfully constructed through simple one-step carbonization method in a nitrogen *** in the precursor can effectively anchor molybdenum-based Keggin-type polyoxometallate and NiCo-layered double hydroxide through electrostatic and coordination interactions,which avoids the aggregation of catalyst particles during the pyrolysis *** optimization,the obtained Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C possesses small size(3-8 nm),large specific surface area and hierarchical pore *** importantly,Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C presents remarkable hydrogen evolution reaction activity with low overpotentials in 0.5 mol·L^(-1)H_(2)SO_(4)(102.3 mV)and 1 mol·L^(-1)KOH(95 mV)to afford the current density of 10 mA·cm^(-2),as well as small Tafel slopes of 82.49 and 99.92 mV·dec^(-1),***,this catalyst also shows outstanding stability for 12 h without a significant change in current *** excellent catalytic performance of Ni-Co/Mo_(2)C/Co_(6)Mo_(6)C_(2)@C can put down to the synergistic effect between multiple components and the small size of the *** work provides unique insights into the preparation of efficient transition metal-based catalysts for HER.

关键词： polyoxometallates layered double hydroxide transition metal-based electrocatalysts hydrogen evolution reaction

Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting

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Computers, Materials & Continua 2024年第3期78卷 3529-3549页

作者： ying su Morgan C.Wang Shuai Liu Department of Statistics and Data Science University of Central FloridaOrlandoFL32816-2370USA School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing100048China

Long-term time series forecasting stands as a crucial research domain within the realm of automated machine learning(AutoML).At present,forecasting,whether rooted in machine learning or statistical learning,typically relies on expert input and necessitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intricate construction of time series *** complexity of these tasks renders complete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these challenges,this article proposes leveraging Long Short-Term Memory,which is the variant of Recurrent Neural Networks,harnessing memory cells and gating mechanisms to facilitate long-term time series ***,forecasting accuracy by particular neural network and traditional models can degrade significantly,when addressing long-term time-series ***,our research demonstrates that this innovative approach outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forecasting long-term univariate time *** is a high-quality and competitive model in time series prediction,and yet it requires significant preprocessing *** multiple accuracy metrics,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indicate its superiority over alternative network architectures,including Fully Connected Neural Networks,Convolutional Neural Networks,and Nonpooling Convolutional Neural *** AutoML approach enables non-professional to attain highly accurate and effective time series forecasting,and can be widely applied to various domains,particularly in business and finance.

关键词： Automated machine learning autoregressive integrated moving average neural networks time series analysis