“一带一路”倡议下海南国际化人才培养模式探析

"一带一路"作为国家顶级合作倡议,除了造福沿线国家和人民之外,也对人才培养提出了更高的要求。在此背景下,海南作为"一带一路"建设的重要节点,亟须培养一批能适应新时代发展的高素质国际化人才。基于现有人才培养模式,本研究从开设国际联合教育实验室、校政企共建资源、涉外人才培养以及海南本土人才培养四方面进行深入探析,为"一带一路"倡议下海南国际化人才培养模式的创新提供建议。     

加速溶剂萃取-高效液相色谱法测定土壤中的亚当氏剂

加速溶剂萃取仪(ASE)提取土壤中亚当氏剂残留的最佳条件为:甲醇作提取剂,萃取温度90℃,压力为10689.7kPa(1550psi),样品经提取、浓缩后,以高效液相色谱测定含量.方法简便、快速,对土壤中亚当氏剂的回收率为81.2%～102.5%,相对偏差为5.4%,检出限为0.091mg/L.     

具有高稳定性以及光催化产氢活性的奇数环状异金属钛氧纳米团簇

利用太阳能是解决当前能源危机和环境问题的有效途径.二氧化钛是一种稳定性高、环境友好的新型光催化剂.近年来,具有精确结构信息的晶态钛氧团簇(PTCs)作为TiO2的分子结构模型受到广泛关注.目前大多数PTCs含有烷氧基,在空气中易发生水解.这在很大程度上限制了对其光催化性能的研究.在无机钛氧簇的外围修饰大量的共轭有机配体...     

Advances in Chip-Based Quantum Key Distribution

Quantum key distribution (QKD), guaranteed by the principles of quantum mechanics, is one of the most promising solutions for the future of secure communication. Integrated quantum photonics provides a stable, compact, and robust platform for the implementation of complex photonic circuits amenable to mass manufacture, and also allows for the generation, detection, and processing of quantum states of light at a growing system’s scale, functionality, and complexity. Integrated quantum photonics provides a compelling technology for the integration of QKD systems. In this review, we summarize the advances in integrated QKD systems, including integrated photon sources, detectors, and encoding and decoding components for QKD implements. Complete demonstrations of various QKD schemes based on integrated photonic chips are also discussed.     

Quercetin: Its Antioxidant Mechanism,Antibacterial Properties and Potential Application in Prevention and Control of Toxipathy

Quercetin, as a flavonol compound found in plants, has a variety of biological activities. It is widely present in nature and the human diet, with powerful oxidative properties and biological activities. In this review, the antioxidant mechanism and broad-spectrum antibacterial properties of quercetin are revealed; the intervention effects of quercetin on pesticide poisoning and the pathway of action are investigated; the toxic effects of main mycotoxins on the collection and the detoxification process of quercetin are summarized; whether it is able to reduce the toxicity of mycotoxins is proved; and the harmful effects of heavy metal poisoning on the collection, the prevention, and control of quercetin are evaluated. This review is expected to enrich the understanding of the properties of quercetin and promote its better application in clinical practice.     

Indigenous Saccharomyces cerevisiae Could Better Adapt to the Physicochemical Conditions and Natural Microbial Ecology of Prince Grape Must Compared with Commercial Saccharomyces cerevisiae FX10

Indigenous Saccharomyces cerevisiae, as a new and useful tool, can be used in fermentation to enhance the aroma characteristic qualities of the wine-production region. In this study, we used indigenous S. cerevisiae L59 and commercial S. cerevisiae FX10 to ferment Prince (a new hybrid variety from Lion Winery) wine, detected the basic physicochemical parameters and the dynamic changes of fungal communities during fermentation, and analyzed the correlations between fungal communities and volatile compounds. The results showed that the indigenous S. cerevisiae L59 could quickly adapt to the specific physicochemical conditions and microbial ecology of the grape must, showing a strong potential for winemaking. Compared with commercial S. cerevisiae FX10, the wine fermented by indigenous S. cerevisiae L59 contained more glycerol and less organic acids, contributing to a rounder taste. The results of volatile compounds indicated that the indigenous S. cerevisiae L59 had a positive effect on adding rosy, honey, pineapple and other sweet aroma characteristics to the wine. Overall, the study we performed showed that selection of indigenous S. cerevisiae from the wine-producing region as a starter for wine fermentation is conducive to improving the aroma profile of wine and preserving the aroma of the grape variety.     

无钴高强高韧钢中奥氏体相价的电子结构

利用固体与分子经验电子理论(EET)对无钴高强高韧钢奥氏体中含碳与不含碳晶胞的价电子结构进行了计算和分析·得到含碳晶胞的nA值大于不含碳晶胞的nA值,故在相的转变中主要考虑含碳晶胞的影响·在含碳晶胞中合金元素Ni,Si,Cr,Mo与碳原子形成偏聚区,且Ni,Si与C的结合力比Cr,Mo的大,偏聚区能降低C的扩散能力,阻碍位错运动,推迟马氏体相变;使基体中保持高度的位错,也会导致材料中有一定数量的残余奥氏体,并细化奥氏体晶粒,使转变的马氏体尺寸减小,这对材料的韧性有利·     

基于深度学习与数据增强技术的小样本岩石分类

在油气勘探中,利用深度学习技术对岩石进行识别与分类能极大提高工作效率。岩石采样并制作样本图像费时费力,因此岩石样本通常较少。有鉴于此,基于深度学习技术设计一个新的神经网络模型MyNet,该模型能对小样本进行学习并完成岩石样本的分类。使用数据增强技术通过Python编程将314张岩石样本扩充成28 272张图像,为了充分利用现有数据,取其中的27 384张作为训练集,剩余888张作为测试集。将数据分别导入MyNet、ResNet50、Vgg16进行训练和测试。实验结果表明,加载、不加载预训练参数的ResNet50、Vgg16的岩石分类结果因受有无迁移学习影响会有所不同;MyNet的总体分类准确率为75.6%,均优于有无迁移学习的ResNet50、Vgg16,且MyNet、ResNet50、Vgg16所需训练的参数量分别为919 278、25 503 912、138 357 544,显然,MyNet模型的复杂度与训练代价明显低于其他对比模型,但性能最优,说明新模型应用于小样本的岩石分类可行有效且经济安全,更容易推广应用。     

基于视频编码流的视频传输端到端失真度估算

研究了基于信源量化、信道错误和差错隐藏的视频传输端到端失真问题.提出了一种基于视频编码流结构的端到端失真度估算方法.采用帧间递归,以宏块为单位根据信道平均误比特率和视频编码信息在编码器端实时估算端到端失真.仿真结果表明,对于绝大部分视频测试序列,在不同信道误比特率下,该方法模型估算的平均相对偏差小于8%,平均绝对偏差控制在0.9 dB以内,准确度高,为基于率失真或联合功率率失真优化中的失真估算提供一个有力的工具.