基于Anton Ziolkowski模型气枪震源子波模拟

气枪震源被广泛用于海洋地震勘探中,它是一种重要的人工地震震源。文章简单介绍了自由气泡震荡的理论基础及其相关公式,并根据理论计算,得到了相应的曲线,分析了影响气枪震源的各项参数,实现了基于Anton Ziolkowski模型气枪震源的子波模拟。     

提高石油加工概论课程教学质量的探讨

石油加工概论是我校非化工专业学生的一门限选课程,对学生知识结构的构建具有重要的意义。本文阐述了在课程教学过程中,对教学内容、教学方法和考试方式等方面的一些探索及体会。     

发酵性丝孢酵母处理精炼大豆油废水的工艺优化及动力学分析

在5 L搅拌式反应器内利用发酵性丝孢酵母处理精炼大豆油废水,并采用正交试验优化处理条件,通过极差分析得到精炼大豆油废水生物处理的较佳条件：温度28℃、转速300 r/min、进气量2 L/min和接种量10%。在该条件下运行36 h后精炼大豆油废水的化学需氧量和含油量的去除率分别为97.31%和89.09%,生物量和油脂分别达到9.27 g/L和51.9%。通过Monod、Tessier和Moser模型研究了发酵性丝孢酵母生物量增长和精炼大豆油废水的污染物降解,发现相比于Monod和Moser模型,Tessier模型更适合研究微生物的增长,并建立了发酵性丝孢酵母生物量增长的动力学方程式,所得到的动力学参数可用于评估含油废水生物处理反应器的设计和运行。     

A Fully-Human Antibody Specifically Targeting a Membrane-Bound Fragment of CADM1 Potentiates the T Cell-Mediated Death of Human Small-Cell Lung Cancer Cells

Small-cell lung cancer (SCLC) is the most aggressive form of lung cancer and the leading cause of global cancer-related mortality. Despite the earlier identification of membrane-proximal cleavage of cell adhesion molecule 1 (CADM1) in cancers, the role of the membrane-bound fragment of CAMD1 (MF-CADM1) is yet to be clearly identified. In this study, we first isolated MF-CADM1-specific fully human single-chain variable fragments (scFvs) from the human synthetic scFv antibody library using the phage display technology. Following the selected scFv conversion to human immunoglobulin G1 (IgG1) scFv-Fc antibodies (K103.1–4), multiple characterization studies, including antibody cross-species reactivity, purity, production yield, and binding affinity, were verified. Finally, via intensive in vitro efficacy and toxicity evaluation studies, we identified K103.3 as a lead antibody that potently promotes the death of human SCLC cell lines, including NCI-H69, NCI-H146, and NCI-H187, by activated Jurkat T cells without severe endothelial toxicity. Taken together, these findings suggest that antibody-based targeting of MF-CADM1 may be an effective strategy to potentiate T cell-mediated SCLC death, and MF-CADM1 may be a novel potential therapeutic target in SCLC for antibody therapy.     

Pivotal Role of Phytohormones and Their Responsive Genes in Plant Growth and Their Signaling and Transduction Pathway under Salt Stress in Cotton

The presence of phyto-hormones in plants at relatively low concentrations plays an indispensable role in regulating crop growth and yield. Salt stress is one of the major abiotic stresses limiting cotton production. It has been reported that exogenous phyto-hormones are involved in various plant defense systems against salt stress. Recently, different studies revealed the pivotal performance of hormones in regulating cotton growth and yield. However, a comprehensive understanding of these exogenous hormones, which regulate cotton growth and yield under salt stress, is lacking. In this review, we focused on new advances in elucidating the roles of exogenous hormones (gibberellin (GA) and salicylic acid (SA)) and their signaling and transduction pathways and the cross-talk between GA and SA in regulating crop growth and development under salt stress. In this review, we not only focused on the role of phyto-hormones but also identified the roles of GA and SA responsive genes to salt stress. Our aim is to provide a comprehensive review of the performance of GA and SA and their responsive genes under salt stress, assisting in the further elucidation of the mechanism that plant hormones use to regulate growth and yield under salt stress.     

拉西瓦水电站高地应力区特大地下厂房开挖施工技术

拉西瓦水电站地下厂房厂区地应力高、地质条件较复杂,特大厂房与众多洞室的立体交叉,增加了厂房特别是高边墙的施工难度,围岩稳定和快速施工是本工程的难点和重点。该地下厂房的施工方法、施工程序、爆破参数,可为以后同类工程施工提供一定的经验和借鉴。     

基于双调整因子的梯度平均盲干扰抑制算法

针对采用直接扩频体制的移动卫星系统,提出了一种同时抑制窄带和多址干扰的盲自适应干扰抑制ABAG—MOE算法,该算法在对随机梯度进行统计平均的基础上,引入自调整的步长和遗忘因子,克服了MOE类算法性能受接收矩阵条件数影响的缺点,改善了输出信噪比和信道跟踪能力;文中分析了该算法的运算复杂度,推导证明了算法收敛性的解析性能。静态和动态干扰环境下的仿真表明：算法在保持O（N）运算复杂度的前提下,表现出较好的输出信噪比和信道鲁棒性,具有一定的应用价值。     

竞争层结构可调SOM网络在中药模式识别中的应用

针对经典SOM算法无法准确反映原始数据的特征信息,提出了竞争层结构可调的SOM算法——CSA—SOM算法。该算法增加了竞争层神经元动态调节的步骤,调节的依据是不断比较原数据的位置信息和映射后低雏空间的位置信息,使两者最终能趋于一致。因此降维后的数据能够较好地保持原数据的特征,包括距离信息、角度信息以及分布信息。该算法有效地实现了红景天药材的准确清晰分类。算法理论分析和实验结果均表明,CSA—SOM算法是一种快速、准确的数据内在规律映射可视化算法,与SOM算法相比,CSA—SOM算法的特征映射效果比较好,解决了SOM算法会使映射后数据结构发生扭曲的问题。     

经向夹衬加强筋机织物及双引纬织造的研究

提出经向夹衬加强筋机织物的结构,介绍其形成原理及方法,并通过实验及讨论,提出双梭口织机引纬、打纬、送经和卷取机构的改造方案。该结构改善了纤维或纱线在织物及其复合材料中的空间分布形态,从而也能加强其物理机械性能,扩大应用领域。