新时代我国检察机关法律监督权的重构

国家立法者依照一元分立下衍生的国家法律监督理论建构了我国的检察系统,但没有在具体立法中规定其相应的全面监督职能。在设立监察委员会制度的背景下,我国宪制中的法律监督机关的构成将面临重大改革,检察机关的法律监督权必须予以重构,这为检察机关实现地位与职能的一致性和职能的优化提供了契机。在新时代背景下,检察机关法律监督权的重构,应当坚持宪法关于检察机关是法律监督机关的性质定位;遵循法治精神,在重构中实现国家权力分权制衡,发挥法律监督权维护人民主权的功能;反映司法规律,把公诉职能作为检察机关的核心职能并对之开展符合司法规律的职能优化。     

中国建设“世界制造业强国”背景下的制造业技能人才研究

处于后工业化经济时代的当代世界,技能人才对推动国家经济的发展具有举足轻重的作用,因此,确保“质优量足”的技能人才成为制造业强国广泛关注的一个焦点,这加速造成了全球技能人才的激烈争夺,进而引发世界范围内大面积的“技能荒”现象.由此,文章在中国建设“世界制造业强国”的背景下,基于对制造业中心国家——英国、美国和日本制造业技能人才短缺现状和成因探讨的基础上,深入分析三国政府和企业采取的措施以及效果,以期为中国有效应对技能人才短缺提供参考.     

习近平建设海洋强国重要论述研究

习近平建设海洋强国重要论述经历了率先发出“向海进军”号召、明确提出海洋经济强省建设、庄严宣告海洋强国建设三个阶段。习近平建设海洋强国重要论述主要包括发展海洋经济、保护海洋环境、创新海洋科技、维护海洋权益等。习近平建设海洋强国重要论述具有三个鲜明的特点：在海洋强国建设“目的性”上做到了为国富强与为民谋利的统筹;在海洋强国建设“方法论”上做到了矛盾论和系统论等方法的统筹运用;在海洋强国建设“治理观”上实现了国际治理与国家治理的统筹。习近平建设海洋强国重要论述具有重要的区域意义——指导有关沿海省份创建海洋强省示范区、国家意义——强力推进海洋强国建设并取得了重大突破、世界意义——为全球海洋治理提供“中国方案”和“中国经验”。     

税务信息管理权与保护权的冲突与平衡

实践中税务机关与纳税人在信息采集、保有及使用方面存在激烈冲突。究其原因在于公权力与私权利冲突具有必然性、税务信息的权利（力）边界不明且经济性日益凸显及税务机关信息管理的责任机制不健全。借鉴域外经验,中国税务机关信息管理权与纳税人信息保护权的平衡之道在于限制公权力并进一步保障私权利,坚持税收法定、个人权利保护及狭义比例等原则。具体而言,需明确税务机关信息管理权与纳税人信息保护权的范围,构建税务信息分层管理机制,严格化税务机关信息管理的程序,完善纳税人信息的争端解决机制与违法取用纳税人信息的责任机制并加强对税务机关信息管理权的监督,促进税务信息领域的公权力与私权利从冲突中走向平衡。     

中国电力消费周期的路径演化识别——基于Markov区制转移模型

基于1980-2016年中国第一产业、第二产业（工业、建筑业）和第三产业的年度电力消费数据,采用H-P滤波技术对中国电力消费的趋势成分和波动成分轨迹进行刻画,运用马尔科夫区制转移[MS（n）-AR（p）]模型分析中国电力消费周期在各区制间的动态转移过程,识别改革开放以来中国电力消费周期的路径演化特征,在此基础上预测未来5年中国电力消费周期的区制分布情况。研究发现:（1）中国电力消费增长率的波动程度自2003年明显缩窄,且从2007年开始进入下行周期。（2）中国电力消费周期具有较强的稳定性,不易向着其收缩期和扩张期跨越。且中国电力消费处于"低速增长区制"的年份往往对应着中国经济发展相对趋缓的大环境。（3）2014-2015年中国电力消费向其收缩期转移的迹象明显,但预测结果表明,未来5年中国电力消费整体上将继续保持稳定增长的趋势。     

The State of Research in Latino Academic Attainment

In this essay, I present an interdisciplinary examination of the state of research in Latino education, addressing not only the cultural forces influencing Latinos’ educational attainment, but also the structural conditions faced by them—as a racialized minority group—throughout their schooling and that have a cumulative effect on their academic attainment. Overall, I suggest that by engaging in a critical review of the literature on Latinos’ educational attainment, the reader will acknowledge that the racially driven hierarchical structural arrangements are highly responsible for the patterns observed.     

A new test for multivariate normality by combining extreme and nonextreme BHEP tests

In this article, we propose a new multiple test procedure for assessing multivariate normality, which combines BHEP (Baringhaus–Henze–Epps–Pulley) tests by considering extreme and nonextreme choices of the tuning parameter in the definition of the BHEP test statistic. Monte Carlo power comparisons indicate that the new test presents a reasonable power against a wide range of alternative distributions, showing itself to be competitive against the most recommended procedures for testing a multivariate hypothesis of normality. We further illustrate the use of the new test for the Fisher Iris dataset.     

Inference for quantile measures of kurtosis,peakedness, and tail weight

Insight into measures of peakedness, heavy-tailedness, and kurtosis can be gained by studying Ruppert’s ratios of interquantile ranges. They are not only monotone in Horn’s measure of peakedness when applied to the central portion of the population, but also monotone in the practical tail-index of Morgenthaler and Tukey, when applied to the tails. Non-parametric confidence intervals are found for Ruppert’s ratios, and sample sizes required to obtain such intervals for a pre-specified relative width and level are provided. In addition, the empirical power of distribution-free tests for peakedness and bimodality are found for some symmetric distributions.     

Parameter Estimation of Autoregressive Models Using the Iteratively Robust Filtered Fast-τ Method

Utilizing time series modeling entails estimating the model parameters and dispersion. Classical estimators for autocorrelated observations are sensitive to presence of different types of outliers and lead to bias estimation and misinterpretation. It is important to present robust methods for parameters estimation which are not influenced by contaminations. In this article, an estimation method entitled Iteratively Robust Filtered Fast? τ(IRFFT) is proposed for general autoregressive models. In comparison to other commonly accepted methods, this method is more efficient and has lower sensitivity to contaminations due to having desirable robustness properties. This has been demonstrated by applying MSE, influence function, and breakdown point criteria.     

An Individual Mixed‐Evaluation Method for Career Intervention

Economic issues linked to career counseling are a cause for concern to policy makers in developed countries because they expect career practitioners to provide evidence of the efficiency of career counseling interventions. The aim of this study was to test an individual evaluation method mixing time series (outcomes) and life narrative (processes). The method used 5 items related to 1 client's career decision self‐efficacy and studied the evolution of those items throughout the intervention of 1 career counselor (43 days). Changepoint analysis helped in identifying the changes that have to be taken into account for time series and which are contextualized in the client's verbatim analysis. This mixed method highlighted that the career counselor's intervention increased the client's career decision self‐efficacy. Practitioners could use the methodology proposed in this article to evaluate their interventions. They could also report their practice to clients, employers, and decision makers.