论油田企业质量技术监督特点及发展趋势

从论述油田企业发展与质量技术监督的关系入手，阐述了石油工业质量技术监督工作的发展历史：分析了油田企业质量技术监督的特点，提出 了油田企业质量技术监督的趋势。认为：质量技术监督管理机构和技术检测机构的双重建设将得到进一步加强；建立施工作业质量监督与监理制度，实施勘探开发工程项目监理体制和运行体制，将成为油田企业积极探索并必须取得突破的一大课题。     

Option pricing in the presence of natural boundaries and a quadratic diffusion term

This paper uses a probabilistic change-of-numeraire technique to compute closed-form prices of European options to exchange one asset against another when the relative price of the underlying assets follows a diffusion process with natural boundaries and a quadratic diffusion coefficient. The paper shows in particular how to interpret the option price formula in terms of exercise probabilities which are calculated under the martingale measures associated with two specific numeraire portfolios. An application to the pricing of bond options and certain interest rate derivatives illustrates the main results.     

我国基金选股选时能力实证分析

本文运用西方基金绩效评价中较为常见的选股选时能力模型及其FF3改进模型对我国证券投资基金进行实证研究,在处理过程中考虑了不同取样频率和不同样本区间的影响.研究结果表明:(1)我国基金只存在很小程度的选股能力,而基本不存在选时能力,更没有基金同时具有选时能力和选股能力;(2)多因素改进模型与原模型相比显著提高了解释能力,说明在可能的情况下应尽可能使用多因素模型;(3)加快取样频率后基金表现出更强一些的选股能力,但在各年度内基金的选股能力有所差异.     

外资进入和我国企业的生产率：“溢出”抑或“挤出”效应

我国改革和开放是同时推进的，引进了众多外资企业来推动我国经济发展。那么，外资企业的进入是否有助于我国内资企业的成长？本文分析我国工业企业超大样本数据，探讨外资进入的影响，研究我国内资企业的生产率能否向效率前沿收敛。结果发现，我国不同类型的内资企业均存在效率前沿的收敛趋势，内外资企业生产率差距不断缩小。外资进入对我国内资企业的短期影响主要表现为溢出效应，但是对于同行业的其他外资企业呈现挤出效应，特别是其他独资外企。我们进一步发现外资进入的长期影响是挤出效应，但是对于国有企业和民营企业的影响却不尽相同。     

矿井通风三维可视化系统及优化

系统建立了三维仿真框架,建立了三维空间属性模型和非空间属性模型,分别对空间数据和非空间数据进行储存和管理。并建立了Hardy-Cross迭代模型和离散反馈型神经网络模型优化通风网络模型。并以C#语言来实现系统的功能。     

私人股权投资基金运作模式选择与对策研究

私人股权投资基金有契约型、公司型、合伙型三种组织运作模式，在法律的合规性、避免双重征税、投资管理的效率性、监督管理的有效性等诸多方面有较多差异。通过对三种股权投资基金的运作模式的分析，提出信托型私人股权投资运作模式在现阶段是理性决策。公司型私人股权投资运作模式适合早期阶段，有限合伙人股权运作模式是最终发展目标。     

A decision method for supplier selection in multi-service outsourcing

Although supplier selection in multi-service outsourcing is a very important decision problem, research concerning this issue is still relatively scarce. This paper proposes a decision method for selecting a pool of suppliers for the provision of different service process/product elements. It pioneers the use of collaborative utility between partner firms for supplier selection. A multi-objective model is built to select desired suppliers. This model is proved to be NP-hard, so we develop a multi-objective algorithm based on Tabu search for solving it. We then use an example to show the applicability of the proposed model and algorithm. Extensive computational experiments are also conducted to further test the performance of the proposed algorithm.     

高科技企业一线经理领导力研究

高科技企业经理的领导力水平直接影响着员工的积极性与创新性。作为员工直接主管的一线经理，其领导力对于激发员工的积极性和主动性、最大限度地发挥人力资源的潜能至关重要。通过对高科技企业一线经理领导情景的分析，提出了一线经理领导力的核心要素，并探讨了培育和提升领导力的具体措施。     

白音查干矿井涌水量预计

矿井涌水量计算是矿床水文地质勘查中一项重要而复杂的工作,也是矿床水文地质勘查中的根本任务之一。运用大井法和廊道法对首采区、首采工作面和开切眼涌水量进行了预计,认为大井法计算的涌水量成果较为可靠,矿井最大涌水量为296.80m3/h,为今后的矿井安全生产提供了理论依据。     

Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets

Bankruptcy prediction is still important topic receiving notable attention. Information about an imminent bankruptcy threat is a crucial aspect of the decision-making process of managers, financial institutions, and government agencies. In this paper, we utilize a newly acquired dataset comprising financial parameters derived from the annual reports of small- and medium-sized companies. The data, which reveal the true ratio between bankrupt and non-bankrupt companies, are severely imbalanced and only contain a small fraction of bankrupt companies. Our solution to overcome this challenging scenario of imbalanced learning was to adopt three one-class classification methods: a least-squares approach to anomaly detection, an isolation forest, and one-class support vector machines for comparison with conventional support vector machines. We provide a comprehensive analysis of the financial attributes and identify those that are most relevant to bankruptcy prediction. The highest prediction performance in terms of the geometric mean score is 91%. The results are validated on two datasets from the manufacturing and construction industries.