游客情感计算的文本大数据挖掘方法比较研究

旅游文本大数据以其方便、快捷和低门槛的特点为游客情感计算提供了极大便利,已经成为旅游大数据的主要来源之一。基于大数据理论和情感理论,以文本大数据为数据源,在全面梳理国内外情感计算相关成果的基础上,利用人工智能中的逻辑/算法编程方法、机器学习方法、深度学习方法对旅游文本大数据进行挖掘,探索最佳的基于文本大数据的游客情感计算方法。研究发现：（1）基于情感词典的游客情感计算模型,其核心是构建情感词典和设计情感计算规则,方法简单,容易实现,适用语料范围广。（2）机器学习,用统计学方法抽取文本中的特征项,具有非线性特征,可靠性较线性特征的情感词典方法高。（3）基于深度学习技术的游客情感计算,效果良好,准确率在85%以上。训练多领域的文本语料易于移植,实用性强,且泛化能力好,较适合大数据时代游客情感计算研究。     

区域分工水平评价的新方法——区位结构熵法

根据区域产业分工理论,运用区位商测定区域专业化程度.然后,基于复杂系统结构熵理论,从产业在区际和区内聚集分布信息出发,融合行业路径和地区路径分析法于一体,提出并证明了可以用区位结构熵全面衡量产业在空间上的分布状况.在此基础上,构建一维区域分工指数,综合测定区域分工水平.最后,以我国工业空间分布为例,例证了该方法是合理的、可行的,具有一定的推广和应用价值.     

Development and validation of a reversed‐phase HPLC method for licarbazepine monitoring in serum of patients under oxcarbazepine treatment

Licarbazepine is the pharmacologically active metabolite of oxcarbazepine, a drug indicated for the treatment of partial seizures and bipolar disorders. Several HPLC methods have been developed thus far but there is lack of control for interferences from antipsychotic drugs. The aim of the present study was to develop a simple, low‐cost and reliable HPLC‐UV method for the determination of licarbazepine in human serum in the presence of co‐administered antiepileptic, antipsychotic and commonly prescribed drugs. Sample preparation consisted of a single protein precipitation step with methanol. Separation lasted ~9 min on a reversed‐phase C₁₈ column using a mobile phase composed of 50 mm sodium‐dihydrogen‐phosphate‐monohydrate/acetonitrile (70:30, v/v) delivered isocratically at 0.9 mL/min and 30°C. Wavelength was 210 nm and calibration curve was linear with r ² 0.998 over the range 0.2–50.0 μg/mL. Coefficient of variation was <5.03% and bias <−4.92%. Recovery ranged from 99.49 to 104.52% and the limit of detection was 0.0182 μg/mL. No interferences from the matrix or from antiepileptic, antipsychotic and commonly prescribed drugs were observed. The method was applied to serum samples of patients under oxcarbazepine treatment and proved to be a useful tool for the therapeutic drug monitoring of licarbazepine during monotherapy or adjunctive treatment of seizures or affective disorders.     

黑龙江省农村劳动力就业的宏观影响因素分析——以状态空间模型为工具

以状态空间模型为工具,研究农村劳动力就业的影响因素,从深层次分析农村劳动力就业发展的长期性、动态性、阶段性和互动性.研究得到,在所有因素之中乡村劳动力人数是长期内影响劳动力就业的主要因素,且始终为正向影响,地区生产总值、农村居民消费水平、农村固定资产投资和农村居民人均纯收入等四个因素均经历了正相关、负相关的波动过程.由此将为人口与经济的健康发展提供理论依据,为政府部门的科学规划和政策调整提供可行性建议,同时对于人口城镇化的有效推进具有重要的现实意义.     

An Improved Solow—Swan Model

§1.　IntroductionThetheoryofeconomicgrowthisanimportanttopicinMacroeconomics.Afterador-mancynearlytwodecades,thestudyofeconomicgrowthbecamevigorousagaininthemid-1980s.TheSolow-Swanmodel[1]isoneofthemostusedinthisfield.Thismodelhasarousedmanyresearchersinterestintherecentyears.N.G.Manki,etal(1992)[2]appliedthismodeltoexaminewhetheritisconsistentwiththeinternationalvariationinthestandardofliving.W.Easterly(1993)[3]gavearevisedSolow-SwanmodelbyintroducingtheCESproductionfunction.Inthepaper…     

澳门博采收入增长影响因素分析

通过对2005年1月至2013年7月份的澳门博采毛收入数据进行季节分析,显示澳门博采毛收入有显著的中国节假日特征.其次分析入境澳门旅客数、酒店住客数、劳动力参与率、消费指数以及突发事件是否是澳门博采毛收入迅速增长的原因,通过计量经济学分析,得到酒店住客数、劳动力参与率、中国的节假日三个因素对澳门博采毛收入有显著的正向影响关系,而2008年世界金融危机对博采毛收入有显著的负的影响.最后结合实际给出了提高博采收入的政策建议.     

新生代员工情感承诺与短工行为的实证研究——以工作满意度为中介变量

研究情感承诺对新生代员工短工行为的影响,引入工作满意度为中介变量,通过问卷调查的形式,收集了不同类型企业的调研数据,并运用结构方程模型对收集到的数据进行实证分析,来验证提出的研究假设.研究结果表明:情感承诺不仅能够减少新生代员工短工行为的出现,而且两者之间的关系是通过工作满意度的完全中介作用得到实现.最后确定研究结论,并对如何减少新生代员工的短工行为提出相应的对策建议.     

劳动者行为分析

以边际分析和效用理论研究人的劳动行为,发现人的行为规律性及动力因素与社会偏好的联系,试图对人的一般社会行为研究提供一种定量与定性结合的方法     

Do Co-Worker Networks Increase or Decrease Productivity Differences?

Do labor mobility and co-worker networks contribute to convergence or divergence between regions? Based on the previous literature, labor mobility contributes to knowledge transfer between firms. Therefore, mobility may contribute to decreasing productivity differences, while limited mobility sustains higher differences. The effect of co-worker networks, however, can be two-fold in this process; they transmit information about potential jobs, which may enhance the mobility of workers—even between regions—and this enhanced mobility may contribute to levelling of differences. However, if mobility between regions involves movement costs, co-worker networks may concentrate locally—possibly contributing to the persistence of regional differences. In this paper, we build an agent-based model of labor mobility across firms and regions with knowledge spillovers that reflects key empirical observations on labor markets. We analyze the impact of network information provided about potential employers in this model and find that it contributes to increasing inter-regional mobility, and subsequently, to decreasing regional differences. We also find that both the density of coworker networks, as well as their regional concentrations, decrease if network information is available.     

组织性别构成多样性对员工组织承诺影响的实证分析

本文采用组织承诺的三维度概念模型探讨组织性别多样性对组织承诺的影响,研究认为员工工作级别中的性别多样性对其组织承诺(情感承诺、连续承诺)有显著的负影响,而上一级性别多样性只对其情感承诺有显著的正影响,并对此结果进行了深入讨论。