用可编程控制器(PLC)改造三面镗组合机床

阐述了采用可编程控制器进行卧式三面镗组合机床技术改造的方法 ,详细说明了SR 2 1PLC在本系统中的配置及梯形图的设计思路和方法。改造结果表明 ,采用可编程控制器能提高机床的可靠性 ,降低故障发生率 ,并且便于维修 ,从而进一步提高了劳动生产率     

非圆柱体车削的进给运动分析

分析了车削非圆柱体径向进给运动的振动特性、速度特性、加速度特性。论述在满足这些特性的前提下如何提高工件转速和加工质量 ,以及非圆截面柱体零件的设计、加工工艺的制定、设备的选择等方面应注意的问题     

功能性动作筛查在学前教育专业学生体质健康中的应用

为了探究FMS功能性动作筛查在学前教育专业学生中的应用效果，根据七个功能性动作筛查的结果，设计有针对性的 方案进行干预，使技术动作规范合理，以提升动作质量，改善身体机能，促进体质健康水平的提高。采用实验测试法、数理统计 法等对学前教育专业学生进行功能性动作筛查，以闽江师专20级大一新生学前教育1班41名女学生为筛查对象。发现在 FMS功能性动作筛查中，学前教育专业女大学生在功能性筛查总体得分偏低，表现在身体稳定性和灵活性两方面较弱，经过为 期16周有针对性运动干预手段，学生的身体稳定性和灵活性得到显著改善，学生的体质健康水平也得到明显提升。建议在体 育锻炼中，应多增加提高身体灵活性和稳定性为主的锻炼方法和手段。     

Of Physics and Factory Physics

The “Principle of Least Action" is the foundational principle of fundamental physics. Application of this principle to the supply chain naturally results in an “uncertainty principle” linking variation in production to variation in net‐inventory. The model also provides an easy means of determining the stationary distribution of net‐inventory for a variety of control strategies. The formalism results in a control strategy that outperforms commonly used control methods.     

数据财产权益的归属判定

现代信息技术推动社会数字化转型的过程中，明晰的数据权属是数据经济健康发展的逻辑前提，也是构建数据财产权益法律制度的首要环节，但是我国现行立法未对其作出明确规定，现有学说亦未形成理论共识。数据权属分为两个层次：一为人格权益归属；二为财产权益归属。个人数据保护立法的具体规范和人格权的一般理论表明：在划分个人数据与非个人数据的场合下，(个人)数据的人格权益归属于个人数据所关联的已识别或可识别的自然人。数据的财产权益归属作为当前争议焦点尚无定论，既与数据权属的研究角度不同有关，更与缺乏有力的数据权属分配标准有关。解决该难题的关键在于全面考察财产权益分配的理论基础与实践线索，从理论依据、法制标准和裁判立场三个维度辨析数据权属的配置标准。具体而言，判定数据财产权益归属，在理论依据维度上：需从法哲学层面考量并入理论、投射理论、劳动理论和公约理论的可适用性，明确何者对数据投入了劳动和资本、归属于何者较能满足社会共识；从法人类学层面梳理财产权益分配的社会历史脉络，明确何者需要保障其数据生产积极性以增进社会整体生产力；从法经济学层面分析财产权益分配的经济考量因素，明确何者对出产数据具有激励必要且能有效率利...     

近代中国邮政职工(1896-1949)研究综述

近代中国邮政职工是邮政事业的执行者和运行主体,在邮政发展的进程中起到了至关重要的作用?目前,对近代中国邮政职工的研究比较薄弱,其研究成果大多集中于邮政职工的管理?邮政职工运动?邮政职工团体组织?邮政职工抗日斗争等方面,在研究跨度?研究深度和研究广度等方面都存在一定的缺憾和不足,尚存较大的发展空间?可通过拓展研究内容,深入挖掘和运用档案?报刊?电子数据库等资料,不断丰富研究方法,将近代中国邮政职工的研究推向更高层次?     

Nonstationary Binary Choice

This paper develops an asymptotic theory for time series binary choice models with nonstationary explanatory variables generated as integrated processes. Both logit and probit models are covered. The maximum likelihood (ML) estimator is consistent but a new phenomenon arises in its limit distribution theory. The estimator consists of a mixture of two components, one of which is parallel to and the other orthogonal to the direction of the true parameter vector, with the latter being the principal component. The ML estimator is shown to converge at a rate of n^3/4 along its principal component but has the slower rate of n^1/4 convergence in all other directions. This is the first instance known to the authors of multiple convergence rates in models where the regressors have the same (full rank) stochastic order and where the parameters appear in linear forms of these regressors. It is a consequence of the fact that the estimating equations involve nonlinear integrable transformations of linear forms of integrated processes as well as polynomials in these processes, and the asymptotic behavior of these elements is quite different. The limit distribution of the ML estimator is derived and is shown to be a mixture of two mixed normal distributions with mixing variates that are dependent upon Brownian local time as well as Brownian motion. It is further shown that the sample proportion of binary choices follows an arc sine law and therefore spends most of its time in the neighborhood of zero or unity. The result has implications for policy decision making that involves binary choices and where the decisions depend on economic fundamentals that involve stochastic trends. Our limit theory shows that, in such conditions, policy is likely to manifest streams of little intervention or intensive intervention.