CAR T Cell Therapy in Hematological Malignancies: Implications of the Tumor Microenvironment and Biomarkers on Efficacy and Toxicity

Chimeric antigen receptor (CAR) T cell therapy has ushered in a new era in cancer treatment. Remarkable outcomes have been demonstrated in patients with previously untreatable relapsed/refractory hematological malignancies. However, optimizing efficacy and reducing the risk of toxicities have posed major challenges, limiting the success of this therapy. The tumor microenvironment (TME) plays an important role in CAR T cell therapy’s effectiveness and the risk of toxicities. Increasing research studies have also identified various biomarkers that can predict its effectiveness and risk of toxicities. In this review, we discuss the various aspects of the TME and biomarkers that have been implicated thus far and discuss the role of creating scoring systems that can aid in further refining clinical applications of CAR T cell therapy and establishing a safe and efficacious personalised medicine for individuals.     

Recovery of PTUIE handling from source codes through recognizing its probable properties

Automated recovery of system features and their designs from program source codes is important in reverse engineering and system comprehension. It also helps in the testing of software. An error that is made by users in an input to an execution of a transaction and discovered only after the completion of the execution is called a posttransaction user-input error (PTUIE) of the transaction. For a transaction in any database application, usually, it is essential to-provide transactions for correcting the effect that could result from any PTUIE of the transaction. We discover some probable properties that exist between the control flow graph of a transaction and the control flow graphs of transactions for correcting PTUIE of the former transaction. Through recognizing these properties, we present a novel approach for the automated approximate recovery of provisions and designs for transactions to correct PTUIE of transactions in a database application. The approach recognizes these properties through analyzing the source codes of transactions in the database application statically.     

Further result on a dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems

In Kim et al. [(1997) A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems. Automatica 33(8), 1539–1543], authors present an excellent neural network (NN) observer for a class of nonlinear systems. However, the output error equation in their paper is strictly positive real (SPR) which is restrictive assumption for nonlinear systems. In this note, by introducing a vector b₀ and Lyapunov equation, the observer design is obtained without requiring the SPR condition. Thus, our observer can be applied to a wider class of systems.     

基于精细积分的(最优)控制系统设计程序包

在精细积分算法体系的基础上开发的"精细积分(最优)控制系统设计程序包PIM-CSD(Precise Integration Method-Control System Design)",不但具有高效、精确、稳定的优点,可替代Matlab控制工具箱定常控制器设计功能,而且很容易实现时变控制器功能的扩展.主要讲述精细积分程序包在LQ最优控制、Kalman滤波以及系统仿真等控制系统设计基本内容方面的功能实现,特别强调在时变控制器和滤波器的设计以及Kalman滤波微分方程的高效求解等新功能的扩展,通过与Matlab控制系统工具箱中相关功能的比较,显示出PIM-CSD在计算效率、数值精度、算法稳定性等方面的优势.最后,探讨了PIM-CSD的应用领域和发展方向.     

多传感器信息融合技术探析

多传感器信息融合是一门涉及信号处理、信息论、人工智能、模糊数学等理论的多学科交叉技术,被广泛应用于军事和民用领域。文章介绍了多传感器信息融合的概念,描述了多传感器信息融合的功能模型、主要方法和应用,并对其发展趋势进行了分析。     

直流输电系统用直流分压器现场检测方法研究

对直流输电系统中所用直流分压器设备的准确度进行现场检测,目前国内还没有检定规程或校准规范和实施程序。根据现场环境,提出使用桥式电阻分压器自校准的方法,提出现场实施程序,注意事项,主要仪器的选型及误差分析,分析了现场存在的影响因素,以及影响程度,并完成模拟现场环境的验证试验,试验数据表明,该方法及其实施过程符合直流分压器现场检测要求,对现场检测试验具有指导意义,并可为实验室检定提供参考价值。     

蛋类膜-壳结构启发制备兼具高灵敏度和宽检测范围的应变传感

为了解决可拉伸应变传感器的灵敏度与检测范围(最大和最小可拉伸性)之间相互制约的问题.受蛋类膜-壳结构的启发,本文提出了一种构筑具有高灵敏度、宽可拉伸应变传感器的新策略,即基于柔性可拉伸的表面接枝聚吡咯膜(s-PPy)(类似于蛋膜)和脆性金膜(类似于蛋壳)制备器件.Au和s-PPy膜在电学和机械性能上产生相互协同作用.A...     

Terahertz Direct Modulation Techniques for High-speed Communication Systems

Terahertz communication technology can provide abundant frequency resources,strong confidentiality,antijamming capability,communication tracking capability and ...     

某宾馆空调冷热源方案比较

通过比较三种方案的初投资和运行费用,得出最佳的冷热源方案。     

Maternal Prenatal Inflammation Increases Brain Damage Susceptibility of Lipopolysaccharide in Adult Rat Offspring via COX-2/PGD-2/DPs Pathway Activation

A growing body of research suggests that inflammatory insult contributes to the etiology of central nervous system diseases, such as depression, Alzheimer’s disease, and so forth. However, the effect of prenatal systemic inflammation exposure on offspring brain development and cerebral susceptibility to inflammatory insult remains unknown. In this study, we utilized the prenatal inflammatory insult model in vivo and the neuronal damage model in vitro. The results obtained show that prenatal maternal inflammation exacerbates LPS-induced memory impairment, neuronal necrosis, brain inflammatory response, and significantly increases protein expressions of COX-2, DP2, APP, and Aβ, while obviously decreasing that of DP1 and the exploratory behaviors of offspring rats. Meloxicam significantly inhibited memory impairment, neuronal necrosis, oxidative stress, and inflammatory response, and down-regulated the expressions of APP, Aβ, COX-2, and DP2, whereas significantly increased exploring behaviors and the expression of DP1 in vivo. Collectively, these findings suggested that maternal inflammation could cause offspring suffering from inflammatory and behavioral disorders and increase the susceptibility of offspring to cerebral pathological factors, accompanied by COX-2/PGD-2/DPs pathway activation, which could be ameliorated significantly by COX-2 inhibitor meloxicam treatment.