草酸二甲酯加氢合成乙二醇反应的研究

在微型管式反应器中,采用Cu/SiO2催化剂,在温度190～210℃、压力1～3MPa、草酸二甲酯(DMO)与氢气的摩尔比(氢酯比)40～120、DMO空速6.0～25.0mmol/(g.h)的条件下,对DMO加氢制乙二醇的反应进行了研究。实验结果表明,高温、高压、高氢酯比和低DMO空速都能提高DMO的转化率和乙二醇的收率,但同时也增加了副产物的选择性。较适合的反应条件为:压力2MPa,温度205～210℃,氢酯比80～100,DMO空速10.0mmol/(g.h)。动力学研究表明,DMO加氢反应符合Langmuir-Hinshelwood吸附反应动力学模型,表面反应为速率控制步骤,氢气不解离吸附,由此得到了相应的动力学方程及参数。统计检验结果表明,该模型对DMO加氢反应高度适定。     

润滑油加氢催化剂的现状及进展

以ExxonMobil和Chevron公司润滑油加氢催化剂的研究、开发和应用为基础，介绍了Mobil润滑油催化脱蜡技术（MLDW）、Mobil异构脱蜡技术（MSDW）、Mobil蜡异构化技术（MWI）以及Chevron公司的润滑油加氢裂化技术、润滑油异构脱蜡技术和润滑油加氢后精制技术，得出的结论认为：这两大公司润滑油加氢催化剂，特别是异构脱蜡催化剂的开发和应用代表着世界润滑油生产技术的发展方向，必将受到高质量润滑油基础油生产商的青睐。     

Selective ensemble extreme learning machine modeling of effluent quality in wastewater treatment plants

Real-time and reliable measurements of the effluent quality are essential to improve operating efficiency and reduce energy consumption for the wastewater treatment process.Due to the low accuracy and unstable performance of the traditional effluent quality measurements,we propose a selective ensemble extreme learning machine modeling method to enhance the effluent quality predictions.Extreme learning machine algorithm is inserted into a selective ensemble frame as the component model since it runs much faster and provides better generalization performance than other popular learning algorithms.Ensemble extreme learning machine models overcome variations in different trials of simulations for single model.Selective ensemble based on genetic algorithm is used to further exclude some bad components from all the available ensembles in order to reduce the computation complexity and improve the generalization performance.The proposed method is verified with the data from an industrial wastewater treatment plant,located in Shenyang,China.Experimental results show that the proposed method has relatively stronger generalization and higher accuracy than partial least square,neural network partial least square,single extreme learning machine and ensemble extreme learning machine model.     

以1,3-二(4-邻羟基苯亚胺次甲基)苯氧基丙烷为载体的铁离子(Ⅲ)电极的研究

以1,3-二(4-邻羟基苯亚胺次甲基)苯氧基丙烷为中性载体制备了PVC膜Fe3+离子选择性电极。该电极对Fe3+呈现出良好的选择性和近Nernst电位响应性能。电极斜率为21mV/dec,线性范围为3.0×10-5～1.0×10-1mol/L,检出限为1.0×10-5mol/L。采用交流阻抗技术研究了电极的响应机理,并将电极作为指示电极初步用于EDTA的电位滴定。     

稀土钕对激光快速成形TC4合金组织及性能的影响

针对氢化脱氢钛合金粉末氧含量较高的问题，研究了添加稀土钕对激光快速成形TC4合金组织及性能的影响。结果发现，添加稀土Nd后，激光快速成形TC4合金的宏观晶粒尺寸变化不大；但随稀土添加量的增加，初始β列状晶逐渐转化为全β等轴晶，晶粒内部的魏氏α组织逐渐转变为网篮α，粗化α条不断增多，呈现团束聚集趋势，晶界α集束体积分数也不断增大；随稀土添加量的增加，激光快速成形TC4合金的室温塑性先大幅度提高，然后急剧降低；稀土添加量为0．1％～0．2％（质量分数，下同）时，氧含量为0．26％的氢化脱氢TC4合金粉末激光快速成形件沉积态的抗拉强度达975MPa，延伸率9．5％，满足锻件标准要求。     

An Overview of Next-Generation Androgen Receptor-Targeted Therapeutics in Development for the Treatment of Prostate Cancer

Traditional endocrine therapy for prostate cancer (PCa) has been directed at suppression of the androgen receptor (AR) signaling axis since Huggins et al. discovered that diethylstilbestrol (DES; an estrogen) produced chemical castration and PCa tumor regression. Androgen deprivation therapy (ADT) still remains the first-line PCa therapy. Insufficiency of ADT over time leads to castration-resistant PCa (CRPC) in which the AR axis is still active, despite castrate levels of circulating androgens. Despite the approval and use of multiple generations of competitive AR antagonists (antiandrogens), antiandrogen resistance emerges rapidly in CRPC due to several mechanisms, mostly converging in the AR axis. Recent evidence from multiple groups have defined noncompetitive or noncanonical direct binding sites on AR that can be targeted to inhibit the AR axis. This review discusses new developments in the PCa treatment paradigm that includes the next-generation molecules to noncanonical sites, proteolysis targeting chimera (PROTAC), or noncanonical N-terminal domain (NTD)-binding of selective AR degraders (SARDs). A few lead compounds targeting each of these novel noncanonical sites or with SARD activity are discussed. Many of these ligands are still in preclinical development, and a few early clinical leads have emerged, but successful late-stage clinical data are still lacking. The breadth and diversity of targets provide hope that optimized noncanonical inhibitors and/or SARDs will be able to overcome antiandrogen-resistant CRPC.     

电厂宽负荷选择性催化还原脱硝技术改造

选择性催化还原（SCR）脱硝技术是我国电厂常用的脱硝技术。该技术运行中对烟气温度的要求比较严格,需要控制好SCR脱硝系统的入口烟温。针对这一问题,从影响SCR脱硝效率的关键因素及常见的宽负荷脱硝技术改进方案入手进行了分析。通过宽负荷脱硝技术改造,明显提高了SCR脱硝系统的入口烟温,进而提高了脱硝效率,减少了氨逃逸率,为电力行业脱硝技术发展提供了实际参考。     

基于动态模式分解的移动用户信道容量预测算法

在多输入多输出环境下,为了能够连续预测出移动用户的信道容量并以此合理地分配用户资源,提出了一种基于动态模式分解（DMD）的信道容量预测方法及其优化方法：基于经验模态分解的选择性归一化动态模式分解（ESN-DMD）.仿真结果表明,DMD算法只适用于预测低移速低复杂度的用户信号,ESN-DMD算法可以预测不同移速的用户信道容量.     

2,6-二氯-4-氨基苯酚的合成方法

[目的]筛选出合成2,6-二氯-4-氨基苯酚的最佳工艺条件。[方法]2,6-二氯-4-硝基苯酚经加氢反应合成2,6-二氯-4-氨基苯酚,并对其合成及提纯工艺进行优化。[结果]最优反应条件下,产品纯度≥99.5%,反应总收率≥93%。[结论]优化了2,6-二氯-4-氨基苯酚合成及提纯工艺,产品收率高且易分离,适合工业化生产。