Applying γ‐Substituted Prolines in the Foldon Peptide: Polarity Contradicts Preorganization

Rational choice of chemical modifications to proline residues allows the preorganization principle to be exploited for more stable assembly of the foldon domain as a tag for trimerization. With systematic knowledge of how chemical and steric variations of the ring substituents affect the relative stabilities of exo and endo puckers, the preorganization principle should then be usable in biotechnologically synthesized foldon mutants and applicable for protein tagging elsewhere.     

关于信息化测绘时代工程测量发展的思考

如今我国信息化技术全面发展，尤其对于工程测量工作领域来讲，不管是在工程建设和管理方面都产生不小的支撑引导效用。由此，笔者具体结合如今工程建设信息化测绘核心任何以及设备布置细节，进行结构整体安全管理周期和周边地理空间信息技术发展能效整理解析，试图将工程测量最新发展机遇和技术挑战问题处理完全。希望能够借此为日后一定时期范围内相关工程测量规划主体提供合理指导性建议内容，最终为我国各类工程事业可持续发展前景绽放奠定深刻适应基础。     

UV/TiO_2光催化氧化工艺脱汞的试验研究

UV/TiO_2光催化技术在TiO_2催化剂的作用下可将烟气中Hg~0氧化脱除。利用自制的UV/TiO_2氧化试验台研究了影响Hg~0去除率的相关因素,结果表明,在无催化剂和有紫外灯情况下可脱除少量Hg~0;Hg~0去除率随催化剂活性组分含量的增加而上升,但上升速率逐渐下降;在温度(50～200)℃范围内,Hg~0去除率无明显变化;Hg~0去除率随着Hg~0初始浓度的升高逐渐下降;Hg~0去除率随着烟气中氧含量先上升后趋于不变。UV/TiO_2氧化工艺脱汞可为燃煤电厂烟气脱汞提供理论指导。     

阴离子种类及浓度对RCT催化剂催化湿式氧化处理头孢废水的影响

采用催化湿式氧化法处理头孢类废水,以RCT为催化剂,考察了阴离子对污染物降解效果的影响。结果表明,不加阴离子时,RCT催化剂能有效催化污染物的降解,TOC和TN去除率分别为78.3%和85.9%;投加不同阴离子对反应的影响不同。RCT催化剂可将头孢氨苄废水中的有机N转化为$N_{2}$,少部分以$NO_{3}-N$形式存在;阴离子F^-、Cl^-、Br^-、I-及$S^{2-}_{4}$对TN的降解影响不大,而$N^{-}_{3}$、$P^{3-}_4$、$CO^{2-}_{3}$、$Si^{2-}_{3}$及$B_{4}O^{2-}_{7}$则明显抑制了对TN的去除。投加F^-、Cl^-、Br^-、I-及$NO^{-}_{3}$对TOC的降解有促进作用(I^-> F^-> Cl^-> Br^-> $NO^{-}_{3}$),TOC的降解率提高了3.1~18.6个百分点;而投加$S^{2-}_{4}$、P,$P^{3-}_4$、$CO^{2-}_{3}$、$SiO^{2-}_{3}$及$B_{4}O^{2-}_{7}$对TOC的降解有抑制作用($SiO^{2-}_{3}$> ,$P^{3-}_4$> $CO^{2-}_{3}$> $B_{4}O^{2-}_{7}$> $S^{2-}_{4}$),TOC的降解率降低了2.0~46.9个百分点。研究Cl-浓度对RCT催化剂降解效果的影响,当Cl-为0.1 mol·L-1时,对TOC的去除有抑制作用,而较高的Cl-浓度(≥0.3 mol·L-1)对TOC的去除却有促进作用,投加Cl-对TN的去除有促进作用,但随着Cl-浓度的增加[(0.1~0.8) mol·L-1],TN的去除率变化不明显(约为88%)。     

四氢呋喃对M-1催化剂性能的影响

结合乙烯气相流化床反应工艺的特点,深入探讨分析四氢呋喃对M-1催化剂的作用和影响,结果表明,四氢呋喃的含量直接影响M-1催化剂的活性和催化乙烯与丁烯-1共聚生产的树脂产品性能。为了生产性能优良的乙烯与丁烯-1共聚产品,需要将四氢呋喃的含量严格控制在较窄的范围。     

建筑工程地基检测技术要点分析及优化对策

针对建筑工程的地基检测技术进行重点分析,并且相应的提出了检测技术的优化对策,以此来促进建筑工程得以顺利发展。     

Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing

Although predictive machine learning for supply chain data analytics has recently been reported as a significant area of investigation due to the rising popularity of the AI paradigm in industry, there is a distinct lack of case studies that showcase its application from a practical point of view. In this paper, we discuss the application of data analytics in predicting first tier supply chain disruptions using historical data available to an Original Equipment Manufacturer (OEM). Our methodology includes three phases: First, an exploratory phase is conducted to select and engineer potential features that can act as useful predictors of disruptions. This is followed by the development of a performance metric in alignment with the specific goals of the case study to rate successful methods. Third, an experimental design is created to systematically analyse the success rate of different algorithms, algorithmic parameters, on the selected feature space. Our results indicate that adding engineered features in the data, namely agility, outperforms other experiments leading to the final algorithm that can predict late orders with 80% accuracy. An additional contribution is the novel application of machine learning in predicting supply disruptions. Through the discussion and the development of the case study we hope to shed light on the development and application of data analytics techniques in the analysis of supply chain data. We conclude by highlighting the importance of domain knowledge for successfully engineering features.     

负载型Pt-Fe/SiO_2催化剂催化环己烷一步氧化制己二酸

己二酸是合成尼龙-66和尼龙-46纤维的重要原料,并进一步用于生产许多重要的化工产品。工业上的己二酸多采用以硝酸为氧化剂的两步法合成,该工艺不仅工艺复杂,而且对设备有腐蚀作用,还会释放大量的温室气体N_2O。本文以负载型Pt/SiO_2、Fe/SiO_2和Pt-Fe/SiO_2为催化剂,采用过氧化氢和氧气为氧源,研究了环己烷一步氧化制己二酸的绿色合成路线。对催化剂进行ICP、BET比表面积、XRD、TEM等表征,结果表明,Pt-Fe/SiO_2催化剂中不存在与Pt或Fe对应的衍射峰。在最佳反应条件下,用高压釜进行了催化剂性能评价,结果表明,Pt-Fe/SiO_2催化活性略优于Pt/SiO_2和Fe/SiO_2。在环己烷转化率为28%的情况下,己二酸选择性达到33%。