Effect of Solidifcation Rate on Grain Structure Evolution During Directional Solidifcation of a Ni-based Superalloy

The effect of solidification rate on grain structure evolution during directional solidification(DS) of a Ni-based superalloy was explored.It was found that a high solidification rate led to sharper <001> texture and smaller grain size in the DS samples.One of the most important findings in this work was that such result was not in accordance with the general concept,and the sharper <001> texture was accompanied by the larger grain size.To explain the contradiction,the modeling samples with five grains were produced and the effect of solidification rate on the evolution of grain texture was illustrated based on the modeling samples.     

Designing renewable energy auctions for India: Managing risks to maximize deployment and cost-effectiveness

We examined 20 renewable energy auctions in India and elsewhere to answer two questions: first, have auctions been effective; and second, how can they be designed to achieve India’s renewable energy targets? The significant contributions lie in the larger sample size, use of secondary and primary research, and application of quantitative and qualitative analysis. We found that auctions are almost always cost-effective, with savings up to 58% from baseline feed-in tariffs. However, auctions may not always be deployment-effective, with only 17% of the auctions with greater than 75% deployment. We then examined how to best design auctions by assessing seven major risks, and found the following: first, for every 1% increase in total risk, deployment effectiveness decreased by 2% points; second, project specific risks have 60% greater impact than auction specific risks; and third, deployment effectiveness is most affected by auction design, completion, and financial risks. We also found that effectiveness of auctions in India can be improved by ensuring competition, improving transmission infrastructure, providing payment guarantees, using pay-as-bid auctions, including stringent penalties for delays, and introducing auctions in a controlled manner.     

Highly sensitive toxin microarray assay for aflatoxin B1 detection in cereals

We report a rapid, highly sensitive microarray method for quantitative aflatoxin B₁ (AFB₁) detection in cereal samples. Following optimisation using an indirect competitive immunoassay, optimised amounts of AFB₁-bovine serum albumin (AFB₁-BSA)-conjugate were contact-printed onto 16 isolated sub-arrays on multi-pad nitrocellulose coated slides subsequently used in competitive binding assays.The toxin microarray working range for AFB₁ was established in the range of 15 pg g⁻¹ to 3.04 ng g⁻¹, with a detection limit of 1 pg g⁻¹. To determine assay sensitivity in contaminated food models, wheat flour and barley grains samples were spiked with AFB₁ standard dilutions. Following extraction, the working ranges of 0.11–4.15 and 0.18–4.31 ng g⁻¹ were determined, with detection limits of 30 and 90 pg g⁻¹, respectively. The sensitivity of the developed assay is below the European commission limit set for AFB₁ detection and the assay procedure was completed in 3 h time. Good recoveries (98% ± 11%) obtained demonstrate the suitability of the proposed method for rapid and sensitive quantification of AFB₁ in contaminated cereal samples.     

Historical narratives as strategic resources: analysis of the Turkish international contracting sector

The Turkish contracting sector has an enviable reputation for operating in high-risk international markets. The sector’s ability to respond to market instability could meaningfully be construed as sectoral-level capability. We aim to demonstrate how history can be mobilised in a formalised “strategy text” to create a strategic narrative on the sectoral level. The Geography of Contractors as published by the Turkish Contractors Association (TCA) ostensively portrays the strategic development of Turkish international contractors over four decades. Such quasi-historical narratives are routinely mobilised for the purposes of creating a shared memory on the sectoral level. The chosen strategy text draws from multiple narrative fragments derived from past experience to generate a strategic agenda for the future. The representation given to multiple voices reflects the pluralistic nature of strategy making praxis. The overarching strategy narrative reflects a performative intent in legitimising some practices whilst discrediting others. Narrative analysis demonstrates the way in which actors, actions and events are positioned within a plot structure, with direct implications for the enactment of future strategic practices. The findings suggest that strategic actions can only ever be identified in retrospect and that such arguments are always made with an eye on the future.     

寻求廉价生产要素以降低成本提高矿山企业竞争力

目前 ,冶金矿山企业应以降低生产成本为中心 ,积极寻求廉价生产要素 ,采用节能新工艺、新设备及优化流程等措施 ,提高企业竞争力     

基于改进注意力机制的LSTM 水位预测模型研究

为了进一步提高水位预测的准确性,本文提出一种融入改进注意力机制的长短期记忆网络（Long Short Time Memory,LSTM）预测模型。该模型将输入序列拆分为时间序列和特征序列,在LSTM网络模型前引入注意力机制对两个序列分别进行注意力计算,然后再进行融合,LSTM网络能够根据重要程度自适应地选择最重要的输入特征,注意力机制层的参数通过竞争随机搜索算法获取,从而进一步增强了模型的鲁棒性。最后在鄱阳湖的水位数据上进行预测实验,结果表明：相对于支持向量回归（SVR）、LSTM等模型,本文提出基于改进注意力机制的LSTM模型具有更好的预测精度,可为水位预测和水资源的精准调度提供技术支持。     

基于小波矩和SCNN的多目标图像识别

提出了将自组织竞争人工神经网络(SCNN)和小波矩结合进行图像旋转不变识别的新方法。SCNN可以克服反向传播神经网络(BPN)不易收敛、低效率等缺点,而且小波矩方法提取的图像不变矩特征具有很强的辨别力和抗噪性能。计算机模拟显示该方法使用简单、效率高,具有很好的研究价值。     

人工神经网络在模拟电路故障诊断中的应用

容差和非线性特性使得模拟电路的故障诊断趋于复杂化,针对这两个问题,几年来,人们提出了许多相关的诊断方法。但是,迄今为止．尚没有一种通用的、行之有效的方法。因此,尝试将自组织竞争网络引入到模拟电路的诊断过程中,并提出一种基于竞争网络的诊断方法。由于自组织竞争网络在非线性映射、容错与自学习方面的独特优势,理论上对于解决模拟电路的容差和非线性问题是非常适合的。最后,实例表明,基于竞争网络的方法能够准确识别出电路中的故障。     

六盘水市煤炭行业竞争战略分析

我国是富煤贫油少气的国家,煤炭是我国最重要的一次能源。但从能源激烈的竞争市场环境而言,当前我国煤炭行业发展出现了困境。为了更好地发展六盘水地区的煤炭行业,结合竞争战略理论和六盘水市的煤炭行业发展状况,运用PEST分析法和波特五力模型对六盘水市煤炭行业进行分析,得出整合资源,结合自身优势大力吸引人才,最终达到产业转型的生态化煤炭发展战略模型。分析结果可为提高六盘水煤炭行业竞争力提供理论支持。     

泰乐菌素单克隆抗体的制备及竞争ELISA检测方法的建立

目的制备泰乐菌素(Tylosin)单克隆抗体,并建立泰乐菌素竞争ELISA检测方法。方法用羰基二咪唑将半抗原泰乐菌素分别与牛血清白蛋白(BSA)和卵清蛋白(OVA)偶联,制备泰乐菌素免疫抗原Tylosin-BSA和检测抗原Tylosin-OVA,用紫外光谱扫描检测Tylosin-BSA偶联物,辣根过氧化物酶标记Tylosin-OVA偶联物。采用杂交瘤技术,制备特异性抗泰乐菌素单克隆抗体,建立泰乐菌素竞争ELISA检测方法。结果筛选出2株稳定分泌抗泰乐菌素单抗的杂交瘤细胞株3E4和2G10,2G10分泌的单抗腹水效价为6×10-4,抗体类型为IgG1型,轻链为κ链,在酸、碱及热条件下均较稳定。选择该单抗建立了泰乐菌素竞争ELISA检测方法。该方法灵敏度达50ng/ml,标准曲线线性关系良好(r=0.9827),且特异性、稳定性较好,准确性、精密性较高。结论已成功制备了泰乐菌素单克隆抗体,并建立了竞争ELISA检测方法,可用于动物源性食品中残留泰乐菌素含量的检测。