Talk About Assistant Investigation of Criminal Cases between Chinese Mainland and Taiwan

自1949年以来，大陆与台湾地区（以下简称“海峡两岸”或“两岸”）司法机关一直缺乏正式的官方接触和联系，至今没能建立起切实有效的区际刑事司法协助机制。在两岸签署全面区际刑事司法协助协议之前，对此进行理论探讨，有针对地采取措施，促进两岸司法人员的直接交流，务实灵活地开展两岸刑事个案协查工作，以突破两岸司法交流与合作的现实困难，推动两岸区际刑事司法协助机制的建立，对于造福两岸同胞，维护海峡稳定，促进两岸关系的和平与发展，都具有重大与现实的意义。 本文从区际刑事司法协助的概念入手，对两岸刑事个案协查的概念和特征、必要性和可行性、既有实践与具体协查模式、实践中存在的困难与法律问题等等，进行理论论证和...Since 1949, mainland and Taiwan district (hereafter refers to as “both sides of Taiwan Strait”) judicial authority has lacked formal official contact, so up till now both sides haven’t set up practical and effective district criminal judicial assistance mechanism. Before two sides sign the criminal judicial assistance agreement of overall district, probing into it theoretically, having it to takin...学位：法律硕士院系专业：法学院法律系_法律硕士(JM)学号：X20040814

Study on Strategic Raw Material Localization Quality Assurance for Multinational Company K

在传统的采购模式下，采购方注重的是以最优惠的价格购得适宜的原材料，企业与供应商保持着简单的交易关系。日新月异的市场变化和快速多变的顾客需求要求企业对市场的反应必须迅速有效。JIT（Justintime准时制）成为越来越多企业采用的生产方式，原材料的质量直接关系到一个企业是否能够实现JIT，能否在市场上具备竞争优势。 本文以一个实际的案例为例，研究了K跨国公司如何通过系统的控制方法保证本地化原材料的质量。论文围绕K跨国公司在供应商的选择、质量认证到商业化运作三个阶段对本地化原材料的质量保证展开研究。首先是K跨国公司对本地化供应商的选择流程、方法和依据。其次是K跨国公司如何帮助供应商提高其产品质...With the traditional purchasing mode, the purchasers pursue the suitable raw materials at the best prices and keeps simple transaction relationship with suppliers when they purchase raw materials. The ever-changing market and the customer needs require the manufacturers to react to the market at a quicker pace and be more effective. More and more manufactures adopted JIT (just in time) operation...学位：工商管理硕士院系专业：管理学院工商管理教育中心（MBA中心）_工商管理硕士(MBA)学号：20021506

Multiattribute Decisi on Making Method Using Intuitionistic Fuzzy Sets

中文摘要: 提出了一种基于直觉模糊集的多目标多属性决策问题的新记分函数,该记分函数从距离的 角度选择最优方案,使最优方案接近最优理想方案,同时远离负理想方案.并对已有的基于直觉模 糊集的多目标模糊决策方法进行分析与联系,通过实例阐明了本文提出的新记分函数的有效性.英文摘要：A new score functi on for handlingmultiattribute fuzzy decisi onmaking problems based on intuitionistic fuzzy sets is presented in this paper . This score function based on distance is given to select the best one, which is close to the ideal alternative and far away from the negative . Moreover, presentmethods connected with intuitionistic fuzzy sets are analyzed . It is proved by examples that this new score function is efficient .基金项目:国家自然科学基金资助项目 (项目编号: 70772094)

边境地区养老机构公建民营模式探析——以广西崇左市试点实践为例

当前公建民营模式成为公办养老机构改革的热点,但存在较多影响合作生产的问题。文章以公共合作生产为视角,分析中越边境广西崇左市的公建民营模式,总结出\"委托-代理\"、整体租赁、竞标购买公共服务等三种公共服务合作生产方式。认为这三种方式存在制度规制不够完善、受政府和市场不良互动的影响运营不畅、资源动员整合能力有待提高等困境。应该采取加快公建民营服务生产模式制度建设、促进政府与市场的良性互动、提高民营方资源整合能力、提高民众认可度、建构风险预警机制等对策,以促进公建民营模式合作生产。2018年国家社会科学基金西部项目“西南民族地区县级政府社会治理能力困境与提升机制研究”(18XZZ006);;\n广西民政政策理论研究立项课题“社会组织参与边境地区社会养老服务研究”(2016GXMZKT14

Estimation of global subsurface temperature anomaly based on multisource satellite observations

基于表层卫星遥感观测的中深层海洋遥感对于了解海洋内部异常及其动力过程有重要意义。如何从现有的海洋表层遥感观测资料提取海洋内部关键动力环境信息场是; 具有挑战性的海洋遥感技术前沿。本文采用支持向量回归(SVR)方法,通过卫星遥感观测获取的多源海表参量(海表高度异常(SSHA)、海表温度异常(S; STA)、海表盐度异常(SSSA)和海表风场异常(SSWA)),选择最优参量输入组合,感知海洋次表层温度异常(STA),并用实测Argo数据作精; 度验证。结果表明SVR模型可准确估算全球尺度的STA(1000; m深度以浅);当SVR输入变量为2个(SSHA、SSTA)、3个(SSHA、SSTA、SSSA)、4个(SSHA、SSTA、SSSA、SSWA); 时对应的平均均方差(MSE)分别为0.0090、0.0086、0.0087,平均决定系数(R~2)分别为0.443、0.457、0.485。因此; ,除了SSHA和SSTA外,SSSA与SSWA的输入对SVR模型的估算有积极影响,有助于提高STA的估算精度。在全球增暖与减缓背景下,该研究可为; 从表层卫星遥感观测提取海洋内部热力异常信息研究提供重要技术支持,有利于拓展卫星对海观测范围。Subsurface thermal structure of the global ocean is a key factor that; reflects the impact of global climate variability and change. Accurately; determining and describing the global subsurface and deeper ocean; thermal structure from satellite measurements are becoming even more; important for understanding the ocean interior anomaly and dynamic; processes during recent global warming and hiatus. The extent to which; such surface remote sensing observations can be used to develop; information about the global ocean interior is essential but; challenging. This work proposes a Support Vector Regression (SVR); method, a popular machine learning method for data regression used to; estimate Subsurface Temperature Anomaly (STA) in the global ocean. The; SVR model can well estimate the global STA upper 1000 m through a suite; of satellite remote sensing observations of sea surface parameters; [including Sea Surface Height Anomaly (SSHA), Sea Surface Temperature; Anomaly (SSTA), Sea Surface Salinity Anomaly (SSSA), and Sea Surface; Wind Anomaly (SSWA)] with in situ Argo data for training and testing at; different depth levels. In this study, we employed the Mean Squared; Error (MSE) and squared correlation coefficient (R~2) to assess the; performance of SVR on STA estimation. Results from the SVR model were; validated to test the accuracy and reliability using the worldwide Argo; STA data (upper 1000 m depth). The average MSE and R~2 of the 15 levels; are 0.0090/0.0086/0.0087 and 0.443/0.457/0.485 for two attributes (SSHA,; SSTA)/three attributes (SSHA, SSTA, SSSA)/four attributes (SSHA, SSTA,; SSSA, SSWA) SVR, respectively. The estimation accuracy was improved by; including SSSA and SSWA for SVR input (MSE decreased by 0.4%/0.3% and; R~2 increased by 1.4%/4.2% on average). The estimation accuracy; gradually decreased with the increase in depth from 500 m. With the; increase in depth, the absolute value of STA became smaller, i.e., it; became more indistinctive in the spatial heterogeneity. The STA became; less intensive in the deeper ocean due to the water stratification and; stability. Results showed that SSSA and SSWA, in addition to SSTA and; SSHA, are useful parameters that can help estimate the subsurface; thermal structure and improve the STA estimation accuracy. Moreover, an; obvious advantage for SVR is the absence of limitation on the input of; sea surface parameters. Therefore, we can figure out more potential and; useful sea surface parameters from satellite remote sensing as input; attributes to further improve the STA sensing accuracy from SVR machine; learning. This study provides a helpful technique for studying thermal; variability in the ocean interior, which has played an important role in; recent global warming and hiatus from satellite observations over global; scale.国家自然科学基金; 国家海洋局全球变化与海气相互作用专项; 国家自然科学基金; 国家自然科学基金; 福建省自然科学基金;; 中国博士后科学基金面上资助; 海西政务大数据应用协同创新中心资

企业税收筹划方法浅析

税收筹划是市场经济的必然产物,是现代企业的必然选择。为了有效地开展税务筹划,必须掌握税收筹划的主要方法,这是税收筹划取得成功的前提条件

反相高效液相色谱法分离、测定海洋浮游植物的叶绿素和类胡萝卜素

国家教委重点基金!［1993］178;福建省自然科学基金!94－Z－

Removal of free fatty acids from acid oil by esterification with cation exchange resin

采用阳离子交换树脂为催化剂研究了酸性油脂的酯化脱酸工艺。分别筛选了001x4,001x7,d113,Hd-8,Cd-552等几种型号的树脂,其中以Cd-552催化效果最好。研究了反应时间、醇酸摩尔比和酸性油脂中催化剂质量分数对Cd-552催化酯化脱酸效果的影响。在醇酸摩尔比30∶1,反应温度60℃,树脂质量分数5%和反应时间5 H的工艺条件下,酸性油脂经Cd-552催化酯化脱酸后,酸值从10.97 Mg/g降低到0.689 Mg/g。反应后树脂易分离,能够循环使用,有效地解决了传统的脱酸催化剂不足,对以酸性油脂为原料的生物柴油的生产具有应用前景。Using acidic cation exchange resins as a solid esterification catalyst,the removal of free fatty acids(FFA) from acid oil by esterification with methanol was researched.The resins such as 001×4,001×7,D113,HD-8,CD-552 were selected for the experiments.The results show that the resin CD-552 is the best catalyst for FFA reduction.The effects of reaction time,mole ratio of alcohol to FFA and mass fraction of catalyst in acid oil on acid reduction by esterification with CD-552 were investigated.Under the reaction conditions: molar ratio of alcohol to FFA 30 ∶1,reaction temperature 60 ℃,catalyst mass fraction 5% and reaction time 5 h,the acid number of the oil is reduced from 10.97 mg/g to 0.689 mg/g after removal of free fatty acids from acid oil by esterification with CD-552.It indicates that the resin is easy to be separated and recycled,which overcomes the deficiency of traditional FFA reduction catalyst,and has a good application prospects for producing biodiesel by using acid oil as raw material