利用加权平方和的方法进行资信评估

以西北地区5家上市的毛纺织企业2002~2004年的报表数据为依据,尝试以加权平方和的评级方法对他们进行定量分析.     

基于贝叶斯网络的信息安全风险评估方法

在系统分析信息安全风险要素及评估过程的基础上，针对评估过程中的不确定性信息难以量化处理的问题，引入贝叶斯网络推理算法，并结合专家知识给出贝叶斯网络下的推理规则条件概率矩阵，从而构建了信息安全风险评估模型．最后以实例分析了基于此模型的风险评估方法．仿真结果表明该方法是一种有效的评估算法，较为准确地了反映了信息安全的风险等级，为信息安全风险评估提供了一种新的思路．     

航天光学遥感器在轨MTF评价的一元方法

通过对航天光学遥感器MTF模型和遥感图片的分析,从图像中提取出与MTF有关的特征信息,采用人工神经网络(ANN)作为工具,将这些特征信息作为ANN的输入向量。在对大量MTF已知的遥感图片进行训练后,ANN可以对未知的遥感图片进行MTF测试。这种方法被称为MTF的一元评价方法,即通过对遥感器传输下来的任意一幅地面景物图像进行MTF的在轨评价,无需在地面铺设特定形状靶标或已知的参考图片。实验结果表明,平均评价误差约为5%,具有很强的抗噪声能力。     

装备技术需求多方案优选方法研究

针对单一优选准则带来的装备技术需求多方案优选结果的片面性,建立了由需求满足度、技术先进程度、技术重要度和技术成熟度等构成的指标体系,实现了装备技术需求的多视角综合优选,克服了单一准则下优选方案的偏差。最后通过示例验证了方法的可行性。     

Improving confidence in (Q)SAR predictions under Canada’s Chemicals Management Plan – a chemical space approach$

Abstract

One of the key challenges of Canada’s Chemicals Management Plan (CMP) is assessing chemicals with limited/no empirical hazard data for their risk to human health. In some instances, these chemicals have not been tested broadly for their toxicological potency; as such, limited information exists on their potential to induce human health effects following exposure. Although (quantitative) structure activity relationship ((Q)SAR) models are able to generate predictions to address data gaps for certain toxicological endpoints, the confidence in predictions also needs to be addressed. One way to address this issue is to apply a chemical space approach. This approach uses international toxicological databases, for example, those available in the Organisation for Economic Co-operation and Development (OECD) QSAR Toolbox. The approach,assesses a model’s ability to predict the potential hazards of chemicals that have limited hazard data that require assessment under the CMP when compared to a larger, data-rich chemical space that is structurally similar to chemicals of interest. This evaluation of a model’s predictive ability makes (Q)SAR analysis more transparent and increases confidence in the application of these predictions in a risk-assessment context. Using this approach, predictions for such chemicals obtained from four (Q)SAR models were successfully classified into high, medium and low confidence levels to better inform their use in decision-making.     

Biosynthesis optimization of silver nanoparticles (AgNPs) using Trichoderma longibranchiatum and biosafety assessment with silkworm (Bombyx mori)

Silver nanoparticles (AgNPs) have raised public concern due to their widespread application in the field of agriculture, medicine, and environment and their potential toxic effects on humans and the environments. In this study, biosynthesis of nanosilver particles mediated by Trichoderma longibranchiatum using orthogonal experimental design (OED) was optimized. Silkworm larvae were exposed via the mulberry leaves to AgNPs to evaluate their toxic effects. The results showed that 2 mmol/L silver nitrate and 55 °C of reaction temperature at pH 7.0 for 24 h were the optimum values for AgNPs biosynthesis with the synthesis amount and antifungal activity of AgNPs as the indices. The characterization of the biosynthesized AgNPs was conducted using electron microscopy, energy dispersive X-ray analysis (EDS), UV/visible spectrophotometry, Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD). The crystalline structured nanoparticles were spherical or polyhedral with a mean size ranging about 5–50 nm. FTIR showed that many functional group moieties (–OH, –CH₃, –C–O, etc.) involved as a capping and reducing agent in AgNPs biosynthesis. After the larvae were fed with 50 mg/mL AgNPs, there were no obvious adverse effects on the growth of larvae and cocoon quality. Further supplement of AgNPs-B could promote the weight of larvae and the cocoon shell ratio. The data presented herein provided valuable information on a reliable eco-friendly, simple, low-cost biosynthesis of AgNPs and its biosafety evaluation which may contribute to its increased application in the future.     

Trace elements in surface sediments from Kongsfjorden,Svalbard: occurrence,sources and bioavailability

Concentration levels, potential sources and bioavailability of trace elements in marine sediments from Kongsfjorden (Svalbard Islands, Norwegian Arctic) were assessed and discussed. Surface sediments were collected by a Ponar grab and characterised in terms of mineralogical composition, grain-size distribution, total organic carbon and nitrogen percentage contents, and major and trace elements concentrations. Anthropogenic and natural sources of trace elements were inferred from lead isotope ratios, while the potential metal bioavailability was evaluated by size-fractionation and solid-phase speciation studies and by the analysis of acid-volatile sulphides (AVS) and simultaneously extracted metals (SEM). Concentrations of metals, their enrichment factors and solid speciation patterns collectively indicated that the anthropogenic impact of trace elements in the fjord is generally low, with a minor enrichment with respect to crustal values (by a factor of 2–11) for As, Cr, Ni and V. The lead isotope ratios (²⁰⁸Pb/²⁰⁷Pb: 2.474–2.498 and ²⁰⁶Pb/²⁰⁷Pb: 1.206–1.212) were close to the natural signature except in the outer fjord, due to the influence of the Atlantic marine circulation. Many elements of toxicological concern (e.g. Pb, V, Zn) were enriched in the finest sediment fraction, which was by far the preponderant one, especially in the inner fjord. However, less than 15% of most trace elements (exceptions Cd and Mn) in the finest fraction was actually associated with easily leachable sediment phases. Finally, the high SEM/AVS ratios determined on samples from sites close to the glacier fronts (11–15), due to low AVS content, highlighted that the sediment in that zone cannot remove additional inputs of heavy metals by sulphide precipitation.     

Quality assessment of Herba Leonuri based on the analysis of multiple components using normal‐ and reversed‐phase chromatographic methods

A novel, improved, and comprehensive method for quality evaluation and discrimination of Herba Leonuri has been developed and validated based on normal‐ and reversed‐phase chromatographic methods. To identify Herba Leonuri , normal‐ and reversed‐phase high‐performance thin‐layer chromatography fingerprints were obtained by comparing the colors and R _f values of the bands, and reversed‐phase high‐performance liquid chromatography fingerprints were obtained by using an Agilent Poroshell 120 SB‐C18 within 28 min. By similarity analysis and hierarchical clustering analysis, we show that there are similar chromatographic patterns in Herba Leonuri samples, but significant differences in counterfeits and variants. To quantify the bio‐active components of Herba Leonuri , reversed‐phase high‐performance liquid chromatography was performed to analyze syringate, leonurine, quercetin‐3‐O‐robiniaglycoside, hyperoside, rutin, isoquercitrin, wogonin, and genkwanin simultaneously by single standard to determine multi‐components method with rutin as internal standard. Meanwhile, normal‐phase high‐performance liquid chromatography was performed by using an Agilent ZORBAX HILIC Plus within 6 min to determine trigonelline and stachydrine using trigonelline as internal standard. Innovatively, among these compounds, bio‐active components of quercetin‐3‐O‐robiniaglycoside and trigonelline were first determined in Herba Leonuri . In general, the method integrating multi‐chromatographic analyses offered an efficient way for the standardization and identification of Herba Leonuri .     

Determination of the optimal ordering policy for the retailer with limited capitals when a supplier offers 2 levels of trade credit

In this article, we consider and investigate the cases when the retailer's capitals are restricted and when the supplier offers another kind of 2‐level trade credit. This means that the supplier offers 2‐level trade credit for the retailer to settle the account and the retailer's capitals are restricted, so the retailer decides to pay off the unpaid balance as follows: Firstly, the retailer decides to pay off the unpaid balance at the end of the first credit period if the retailer can pay off all accounts and, in addition, the retailer can use the sales revenue to earn interest throughout the replenishment cycle time. Secondly, the retailer decides to pay off all accounts either after the end of the first credit period, but before the second credit period, or after the second credit period if the retailer cannot pay off the unpaid balance at the end of the first credit period. Additionally, the delay will incur interest charges on the unpaid and overdue balance due to the difference between the interest earned and the interest charged. Consequently, the main purpose of this article is to characterize the optimal solution processes and (in accordance with the functional behavior of the cost function) to search for the optimal replenishment cycle time. Finally, numerical examples are given to illustrate the theoretical results which are proven in this article by means of mathematical solution procedures.