VDR,RXR, Coronin-1 and Interferonγ Levels in PBMCs of Type-2 Diabetes Patients: Molecular Link between Diabetes and Tuberculosis

Diabetes and tuberculosis are world’s most deadly epidemics. People suffering from diabetes are susceptible to tuberculosis. Molecular link between the two is largely unknown. It is known that Vitamin A receptor (RXR) heterodimerizes with Vitamin D receptor (VDR) and Peroxisome proliferator-activator receptor-γ (PPARγ) to regulate Tryptophan-aspartate containing coat protein (TACO) expression and fatty acid metabolism respectively, so it would be interesting to check the expression of these genes in diabetes mellitus (DM) patients which might explain the susceptibility of diabetics to tuberculosis. In this study, we checked the expression of RXR, VDR, TACO and Interferon-γ (IFNγ) genes in type-2 DM patients for understanding the link between the two diseases. We observed down regulation of RXR gene and corresponding up regulation of TACO gene expression. We have not observed significant change in expression of VDR and IFNγ genes in type-2 DM patients. Repression of RXR gene could hamper VDR-RXR heterodimer formation and thus would up regulate TACO gene expression which may predispose the type-2 DM patients to tuberculosis. Also, decrease in RXR-PPARγ heterodimer could be involved in DM.     

高科技企业人才流失预警机制研究

以风险信息采集—风险预警指标库构建—风险评估—预警警报发布为逻辑思路阐述高科技企业人才流失风险预警模式。根据对人才流失风险的识别,从个体、组织、环境3个方面构建高科技企业人才流失风险预警指标体系,并利用层次分析法和熵权法对风险指标进行评估。最后,根据BP神经网络原理确定高科技企业人才流失风险预警模型,设计预警模型的构建步骤,进一步对风险等级及临界值进行设计和界定。     

智利玛丽娜铜矿床的地质特征及找矿标志

玛丽娜铜矿区位于智利中生代陆相-湖泊相拉伸拗陷带,形成于中酸性火山岩中,多条平行或网脉状矿体赋存在下白垩统拉斯契加斯(Las Chilcas)组岩层,受断裂控制,矿体切穿多种赋矿围岩,矿石矿物呈细粒浸染状和脉状,矿种以铜为主,伴生银。矿物分带从浅到深呈现出辉铜矿-斑铜矿-黄铁矿的分带特征。近矿围岩蚀变以泥化-青磐岩化-绢云母化为主,深部见钾长石化蚀变。通过对成矿地质条件和矿化特征研究认为玛丽娜铜矿床上部为曼陀型矿床,深部为斑岩型铜矿床。本文在总结项目组勘查和综合研究的基础上,对矿区火山岩的地球物理特征进行研究,探讨其地质意义。     

宋代武举的程文考试

宋代武举考试分武艺和程文,程文考试是宋武举与唐武举的最大区别。宋武举程文分为《七书》大义和时务策论两种,策论要誊录、封弥;评定成绩时以策论为主,评选标准除参照文举的犯讳、错字外,更重视程文形式和是否“忠”。武举录取原则“策论定去留,弓马定高下”,体现了科举背后的中央集权思想力量在加强。     

论模糊逻辑的有效性

为了符合经典有效性标准,我国学者王国俊教授和婓道武教授分别构造了模糊形式演绎系统L*和模糊谓词一阶形式系统K*,这反驳了模糊逻辑缺乏逻辑基础的谬论。然而随着现代科学日益进步和逻辑学分支学科的不断发展,经典逻辑过于狭隘的非此即彼的模式及其有效性标准显得越来越过时了。非形式逻辑通过对经典有效性标准的限制和修改,已形成归纳有效性、实质有效性等另类的有效性概念。模糊逻辑用发展了的有效性标准来评估更能体现其理论存在的价值和自身特点。     

A Classroom Exercise to Examine the Trade‐off between Mission Capacity and Life Cycle Cost

This article presents a classroom exercise, centered on a simulation that has been used for 4 years in an MBA program to help students develop an understanding of the trade‐offs involved in managing capital assets in the public sector. Though often ignored in business schools, mission is a key criterion that must be considered when managing such assets, and acts as a surrogate for profit. The case presents a rich environment in which the impact of cost reductions (or additional investments) on mission can be quantified, and trade‐offs can be assessed and discussed. It gives students a chance to develop creative ideas for process improvement, and provides sufficient data for them to analyze the impact of their suggestions in a rigorous way.     

互联网金融借贷平台的法律问题研究:以P2P为例

本文主要通过介绍互联网金融P2P借贷发展的概念,详细分析了互联网金融最具代表性的P2P网络借贷平台最近的发展状况及其带来的各种法律风险。然后运用国内外互联网金融理论对我国P2P网络借贷平台的现实问题进行具体阐述,提出一系列完善法律制度、建立完善互联网金融体系的建议。     

基于马尔可夫模型的风险型客户预测与管理

客户是企业的重要资产之一,是企业实现利润的源泉。客户关系的发展形成一个完整的生命周期,处于生命周期形成阶段的客户往往要消耗较多的资源却甚少为企业创造价值,企业的投入具有风险性。本文对风险型客户发展过程中的特点进行分析,同时提出基于马尔科夫模型的风险型客户预测方法,掌握风险型客户在市场竞争过程中的市场占有率信息,从而为企业的战略决策提供支持。     

An information delivery model for banking business

Banking is an enterprise consists of different levels of users with the requirement of different levels of information. We propose an information delivery model for banking business which takes information from business analysis and finds the best user for this information with respect to criteria and delivers the multi criteria reporting. There are many multi criteria decision making techniques [MCDM] available to find the best alternative in MCDM problem. We applied fuzzy MCDM technique which resolves inconsistency and uncertainty issues involved in decision making of information delivery for bank users. This model classifies most preferred user to least preferred user for the given information using fuzzy score. This information delivery model and its layers can be applied to other domains to build information delivery model.