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.     

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。     

Simulation annealing diagnosis algorithm method for optimized forecast of the dynamic response of floating offshore wind turbines

Design of floating offshore wind turbines(FOWTs)needs reliable and innovative technologies to overcome the challenges on how to better predict the dynamic respo...     

基于Fluent的热声异形谐振管压比研究

通过采用Fluent模拟计算的方法研究了在相同输入的情况下,不同谐振管形状对系统压比的影响.为了验证采用 Fluent 的可行性和作者编制程序的准确性,对刚性封闭直管,客性封闭直管进行了模拟,其结果与理论分析相吻合;对一实验系统进行模拟,模拟时以其中任意两个测点测量值为输入输出,将所得声场其它观察点的模拟结果与实验测量值相比较,二者符合也很好,证明了本研究方法是可行的,程序编制是正确的.在此基础之上,对不同管形结构的空谐振管进行了模拟计算,得到了不同情况下的最大输出压力,结果认为在提高压比方面渐变管优于突变管及锥形管优于直管.     

Age of Transmission-Optimal Scheduling for State Update of Multi-Antenna Cellular Internet of Things

Timely information updates are critical for real-time monitoring and control applications in the Internet of Things(IoT). In this paper, we consider a multi-antenna cellular IoT for state update where a base station(BS) collects information from randomly distributed IoT nodes through time-varying channel.Specifically, multiple IoT nodes are allowed to transmit their state update simultaneously in a spatial multiplex manner. Inspired by age of information(AoI),we introduce a novel concept of age ...     

曲面的自适应三角网格剖分

在传统的映射法基础上 ,采用自适应三角网格加密法能有效地处理带有特征约束条件的任意曲面的三角剖分问题 .在平面三角化算法中对环边统一处理 ,并且采取了一种简单有效的曲率估算方法 ,提高了运行效率 ;并在保持外观的基础上进行了网格质量的优化     

基于内容的图像检索系统

文章介绍了基于内容的图像检索技术及其优势，并举了几个例子。     

The globally asymptotic stability analysis for a class of recurrent neural networks with delays

This paper considers the problem of global stability of neural networks with delays. By combining Lie algebra and the Lyapunov function with the integral inequality technique, we analyze the globally asymptotic stability of a class of recurrent neural networks with delays and give an estimate of the exponential stability. A few new sufficient conditions and criteria are proposed to ensure globally asymptotic stability of the equilibrium point of the neural networks. A few simulation examples are presented to demonstrate the effectiveness of the results and to improve feasibility.