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关键词： EEG signal   K-complexes detection   Tunable Q-factor wavelet transform   (TQWT)   Power spectrum density (PSD)   Katz's algorithm   Fractal and statistical features   LS-SVM classifier  

摘要： Sleep scoring is one of the primary tasks for the classification of sleep stages using electroencephalogram (EEG) signals. It is one of the most important diagnostic methods in sleep research and must be carried out with a high degree of accuracy because any errors in the scoring in the patient's sleep EEG recordings can cause serious problems. The aim of this research is to develop a new automatic method for detecting the most important characteristics in sleep stage 2 such as k-complexes based on multi-domain features. In this study, each EEG signal is divided into a set of segments using a sliding window technique. Based on extensive experiments during the training phase, the size of the sliding window is set to 0.5 s (s). Then a set of statistical, fractal, frequency and non-linear features are extracted from each epoch based on the time domain, Katz's algorithm, power spectrum density (PSD) and tunable Q-factor wavelet transform (TQWT). As a result, a vector of twenty-two features is obtained to represent each EEG segment. In order to detect k-complexes, the extracted features were analysed for their ability to detect the k-complex waveforms. Based on the analysis of the features, twelve out of twenty-two features are selected and forwarded to a least square support vector machine (LS-SVM) classifier to identify k-complexes in EEG signals. A set of various classification techniques of K-means and extreme learning machine classifiers are used to compare the obtained results and to evaluate the performance of the proposed *** experimental results showed that the proposed method, based on multi-domain features, achieved better recognition results than other methods and classifiers. An average accuracy, sensitivity and specificity of 97.7 %, 97 %, and 94.2 % were obtained, respectively, with the CZ-A1 channel according to the R&K standard. The experimental results with high classification performance demonstrated that the technique can help doctors optimize

关键词： 桥梁   伸缩缝   技术剖析  

摘要： 在桥梁工程施工中,伸缩缝施工技术需要得到大家重视,目前很多道路往往最早在伸缩缝处出现道路开裂损坏,所以就应该不断的完善此项技术。中国从木桥到石拱桥到现在的桥梁经历了很长时间的发展,现在桥梁在国家科技的发展下也在不断的进行创新,这是科技的进步。在现代桥梁的建设下,伸缩缝施工技术对其造成了较大的影响,因此为了保障桥梁工程施工的质量,更应该重视伸缩缝施工技术。

关键词： 道路桥梁   伸缩缝   施工技术  

摘要： 交通运输对促进我国的经济发展和生活水平的提高有着重要的作用,有句话叫做“想致富、先修路”,所以做好交通建设是非常重要的,而道路桥梁工程正是其中的一个关键部分,可见道路桥梁工程的重要性。得益于科技水平的发展,我国的道路桥梁施工技术水平也在不断提高,但在道路桥梁的施工过程中还存在着一些问题。道路桥梁工程普遍工程量大、体积大、工程的表面积也很大,且几乎所有的部分都在室外,导致了道路桥梁中的混凝土结构大多都在暴露在自然环境中,而混凝土结构具有热胀冷缩的特性,这叫导致了整体结构很容易受温度的影响,长期暴露在外容易发生膨胀和收缩产生开裂问题,这大大降低了道路桥梁工程的安全性和稳定性。为了减少这种情况的发生,伸缩缝技术随之出现,只要在道路桥梁合适的主要位置放上些许的构造缝,就可以有效的较少温度等因素对于道路桥梁的影响,大大提高道路桥梁的安全性和使用时长。但是在施工过程中要精密的计算好伸缩宽度,高质量的完成伸缩装置的安装,提高施工过程中的技术,只有这样才能提高道路桥梁施工的质量,推动我国交通事业的进步。

关键词： 桥梁工程   伸缩缝施工   关键技术   类型   技术要点  

摘要： 伸缩缝施工是市政桥梁工程中非常重要的一个环节,关系着整个工程的安全性,故而必须要对这方面的工作予以较高的重视。为实现对伸缩缝施工技术效果的全面优化,本文对具体的技术要点展开了详细的分析和介绍,希望对相关人员有所启发,以促进我国市政桥梁工程的总体建设水平的提升。

关键词： 节能设计   建筑设计   可持续发展   建筑立面设计   建筑规划  

摘要： 随着中国社会经济的不断发展,居民的生活质量和生活水平不断提高,习近平总书记在十九大提出我国社会主要矛盾已经转化为人民日益增长的美好生活需要和不平衡不充分的发展之间的矛盾,因此人们对建筑的整体质量以及安全性能又有了新的要求,建筑标准逐渐变为了不仅能够实现居住功能同时还要有绿色、舒适的居住环境,在国家提倡可持续发展的背景下,如何将节能设计理念融入到建筑设计中成为了一个亟待解决的问题。本文从建筑行业对于环境的影响出发,分析节能设计理念对于建筑设计的重要性,并提出节能设计理念的原则,举出实际例子。

关键词： 防水涂料   品种   机理   措施  

摘要： 本文按防水涂料的状态和形式,将其分为溶剂型、反应型、乳液型三大类型.分别介绍了每一类型防水涂料的构成、特点、防水机理,最后详细分析了建筑常见防水涂料施工质量通病产生的原因和防治措施.

关键词： Alveolar epithelium   ATB(0,+)   Carnitine   MPP+   OCT   OCTN  

摘要： Alveolar epithelium, besides exerting a key role in gas exchange and surfactant production, plays important functions in host defense and inflammation. Pathological conditions associated to alveolar dysfunction include Acute Respiratory Distress Syndrome (ARDS), asthma, chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF). The use of predictive in vitro models of human alveolar epithelium is nowadays required for the study of disease mechanisms, as well as of pharmacokinetic parameters of pulmonary drugs delivery. Here, we employed a novel 3D model of human alveoli, namely EpiAlveolar (TM), consisting of primary alveolar epithelial cells, pulmonary endothelial cells and fibroblasts, that reflects properly the in vivo-like conditions. In EpiAlveolar (TM) we performed a characterization of Organic Cation Transporters (OCTs and OCTNs) expression and activity and we found that OCTN2, OCT1 and OCT3 are expressed on the basolateral membrane;instead, ATB(0,1) transporter for cationic and neutral amino acids, which shares with OCTN2 the affinity for carnitine as substrate, is readily detectable and functional at the apical side. We also show that these transporters differentially interact with anticholinergic drugs. Overall, our findings reveal close similarities of EpiAlveolar (TM) with the tracheal/bronchial epithelium (EpiAirway (TM) model) and entrust this alveolar tissue as a potential tool for the screening of biopharmaceuticals molecules. (c) 2021 Published by Elsevier Inc.

关键词： primary pterygium   conjunctiva   green tea   EGCG   survival   migration  

摘要： Pterygium belongs to an ocular surface disease with triangular-shaped hyperplastic growth, characterized by conjunctivalization, inflammation, and connective tissue remodeling. We previously demonstrated neoplastic-like properties of pterygium cells. Green tea catechin, (-)-epigallocatechin gallate (EGCG), has been shown to possess antitumorigenic properties;herein, we aimed to determine the effects of green tea catechins on human primary pterygium cell survival and migration and compared to that on patients' conjunctival cells. Both human primary pterygium and conjunctival cells expressed EGCG receptor, the 67 kDa laminin receptor. Seven-day treatment of green tea extract (Theaphenon E;16.25 mu g/mL) and EGCG (25 mu M) attenuated pterygium cell proliferation by 16.78% (p < 0.001) and 24.09% (p < 0.001) respectively, without significantly influencing conjunctival cells. Moreover, green tea extract (16.25 mu g/mL) and EGCG (25 mu M) treatments also hindered pterygium cell migration by 35.22% (p < 0.001) and 25.20% (p = 0.019), respectively, but not conjunctival cells. Yet, green tea extract and EGCG treatments did not significantly induce pterygium cell apoptosis. Furthermore, green tea extract and EGCG treatments significantly increased the phosphorylation of p38 protein but reduced the phosphorylation of p42/p44 protein in pterygium cells. In summary, this study revealed that green tea extract and EGCG attenuated human primary pterygium cell survival and migration in vitro without damaging conjunctival cells, suggesting a novel potential therapeutic approach for primary pterygium treatment.