综合法学:法的全景解读

法律是什么?是形式、价值、还是社会事实?三大法学派正是在这一问题上展开了长期的论战。20世纪,西方兴起了一个试图融合三大法学派为一体的综合法学,他们力图构建一个“适当的”、“一体化的”法理学。他们批判了三大法学派的偏执与片面,主张用综合的方法研究法律,并得出了虽然各具特色,但都试图溶三大法学为一体的“综合”的法的概念。在资本主义国家仍然存在政治、经济和意识形态冲突的情况下,想在综合法学这一不封闭的容器中把三大法学全部装进去多少带有一些理想的色彩。     

农村公共环境卫生的治理模式演进与“三治融合”理路

村容整洁""生态宜居"是乡村振兴的重要内容.当前,农村的公共环境卫生状况与社会主义新农村的要求存在差距.我国农村公共环境卫生治理大致经历了"自发性治理模式""干预性治理模式""外包化治理模式"三个阶段."干预性治理模式""外包化治理模式"并不是最优化的治理模式,其自身缺陷使得农村公共环境卫生治理极易出现"张弛无序"现象.自治、法治、德治的"三治融合"是农村公共环境卫生治理的必然选择.农村公共环境卫生治理自治具有制度依赖性和技术依赖性,应以自治管理制度构建和农村环保技术开发为突破口;自治应注重"量力而为"原则,不能排斥市场行为和社会参与.农村公共环境卫生治理法治体系构造应以制度完善为切入点,改变城乡分治的立法局面,出台与我国法律规定相配套的实施制度,引入人工智能、地理信息和远程监控技术,创新生态环保监管执法方式和格局.农村公共环境卫生治理的德治功能应当通过双向激励性宣教、农村人口结构优化、乡规民约重塑予以实现.     

高效节能双组份注塑系统及设备开发

对双组份注塑成型机的工艺特点以及国内现有机型不足的分析基础上,进行了高效节能双组份主注射系统和副 注射系统的设计,开发出新型的双组份注射前模板转盘装置,在满足普通双组份注射制品要求的同时,解决了制品浇冒 口暴露在外部的缺陷;计算了注塑系统的功率和能耗,工作性能稳定、效率高,控制系统先进,具有明显的节能优势,整机 性价比高,满足分清双色或云彩混双色的两种组份塑件制品成型的要求。     

紧固件自动涂胶设备关键结构设计

针对紧固件手工方式涂胶存在的加工效率低、涂胶不均匀、胶液浪费等问题,本文对紧固件自动涂胶设备进行了 开发设计。采用螺旋槽式输料结构,实现了零件的自动排序和上料;设计了由间隙可调式导轨、气动系统和分离圆盘组 成的驱动机构;利用配合运动的方式,设计了紧固件的涂胶机构,包括涂胶片、摆动臂、旋转电机、顶推套筒及驱动气缸, 实现了对排序零件的自动连续涂胶。结果表明该设备自动化程度较高,零件加工范围广,涂胶均匀,同时避免了手工涂 胶对人体产生的伤害。     

注塑机料筒加热节能技术

料筒加热系统是注塑机上主要耗电系统之一,行业中推出的多种节能技术方案受利益格局的影响存在误导行业 和用户的现象。针对这一局面,从节能效果、使用可靠性、安装维护方便性及性价比等要素入手,对目前行业主推的电磁 加热、红外加热、节能环3大料筒加热节能技术方案进行了应用、研究和比较,节能环技术方案具有简单有效、局限性少、 故障率低、成本低等优点,是适合注塑机生产工况要求的最佳加热节能技术方案。     

泛长三角旅游一体化下安徽旅游产品的整合营销

整合营销理论在旅游产品生产和销售中的应用日臻成熟。近年来,泛长三角旅游产品整合营销在理论上和实践上都得到了长足的发展。在泛长三角旅游一体化进程中,安徽省的旅游产品相对单一、产业规模较小、整合开发相对缓慢。安徽旅游产业应以地缘为基础、以品牌为方向进行旅游认知、品牌构建、旅游供需整合和旅游相关者关系整合,把自然山水、休闲养生、人文佛教的徽风皖韵有机结合起来,实现旅游主题、线路、品牌有机融合,推出基于泛长三角一体化的安徽旅游产品,形成泛长三角旅游的重要一极。     

The periodogram regression:correction and comments

Ratios of periodogram and spectral density at different harmonic frequencies are independent if the frequency zero is approached slowly enough. This is an asymptotically relevant condition for the periodogram regression to work with fractionally integrated series. In finite samples, however, this theoretical condition should be ignored as we illustrate experimentally.     

Effect of systematic sampling on arima models

Given a general homogeneous non-stationary autoregressive integrated moving average process ARIMA(p,d,q), the corresponding model for the subseries obtained by a systematic sampling is derived. The article then shows that the sampled subseries approaches approximately to an integrated moving average process IMA(d,l), l≤(d-l), regardless of the autoregressive and moving average structures in the original series. In particular, the sampled subseries from an ARIMA (p,l,q) process approaches approximately to a simple random walk model.     

An Analysis of Rhetorical Devices in Advertisement

Advertisement is closely related to our daily life, trying to persuade customers to purchase different kinds of products with garish propaganda. As a result, various rhetorical devices are widely employed in advertisement due to their special functions in people＇ s consuming.     

Obtaining prediction intervals for FARIMA processes using the sieve bootstrap

The sieve bootstrap (SB) prediction intervals for invertible autoregressive moving average (ARMA) processes are constructed using resamples of residuals obtained by fitting a finite degree autoregressive approximation to the time series. The advantage of this approach is that it does not require the knowledge of the orders, p and q, associated with the ARMA(p, q) model. Up until recently, the application of this method has been limited to ARMA processes whose autoregressive polynomials do not have fractional unit roots. The authors, in a 2012 publication, introduced a version of the SB suitable for fractionally integrated autoregressive moving average (FARIMA (p,d,q)) processes with 0<d<0.5 and established its asymptotic validity. Herein, we study the finite sample properties this new method and compare its performance against an older method introduced by Bisaglia and Grigoletto in 2001. The sieve bootstrap (SB) method is a numerically simpler alternative to the older method which requires the estimation of p, d, and q at every bootstrap step. Monte-Carlo simulation studies, carried out under the assumption of normal, mixture of normals, and exponential distributions for the innovations, show near nominal coverages for short-term and long-term SB prediction intervals under most situations. In addition, the sieve bootstrap method yields better coverage and narrower intervals compared to the Bisaglia–Grigoletto method in some situations, especially when the error distribution is a mixture of normals.