高精度快速非线性离散跟踪微分器

对二阶连续系统最速控制设计中采用的综合函数作了分析, 得到了一种新的高精度、快速离散非线性跟踪微分器, 并对其滤波特性、微分提取特性进行了初步分析. 分析表明, 这种跟踪微分器对输入信号具有很好的跟踪能力, 能够滤除噪声和提取微分信号. 相位延迟小, 幅值衰减小, 因而具有跟踪的快速性、准确性. 最后, 给出了数值仿真例子来验证该算法; 并给出了一个实验结果, 证实了算法的可行性.     

电位滴定法测定重过磷酸钙中游离P2O5含量

介绍用电位滴定法测定重过磷酸钙中游离P2O5含量的方法。采用设定终点滴定,终点pH值为4.5,开始条件设置滴定前搅拌60s,最大滴定速度0.01mL/min,最小滴定速度0.005mL/min,终点前动态范围pH1.000,终点停止漂移0.02mL/min,测量点时间间隔2.0s,滴定方向选择pH值升高的方向,停止体积为成品重钙10.00mL、鲜钙20.00mL。该方法简便,快速,准确度、精密度高。     

CCD立靶坐标测量系统精度仿真分析

根据CCD立靶坐标测量系统的工作原理,对系统测量精度进行了理论分析,建立了系统测量精度数学模型,利用计算机仿真技术对其进行仿真计算,1 m靶面的测量精度为0.8 mm×1.0 mm;4 m靶面的测量精度为3.0 mm×3.0 mm.通过理论计算和试验结果的对比,证明该数学模型可准确描绘系统的测量精度.     

变精度粗糙集模型及其应用研究

介绍了广义粗糙集模型和Ziarko变精度粗糙集模型,找出了它们的不足;借助引入的误差参数β(0≤β<0.5),给出了基于后继邻域的一般二元关系下变精度粗糙集模型的β上近似、β下近似、3边界和β负域的定义以及β近似质量和β粗糙性测度定义;详细讨论了β上、下近似算子的性质、该模型与其他粗糙集模型的关系以及一般二元关系下两种变精度粗糙集模型的关系;最后,举例说明了该模型在信息处理中的应用。     

Improving the Management of Endometrial Cancer Patients through the Use of Liquid Biopsy Analyses: A Case Report

Endometrial cancer (EC) is the 4th most common neoplasm of the female genital tract, with 15–20% of patients being of high risk of recurrence which leads to a significant decrease in patient survival. Current therapeutic options for patients with EC are poor, being the combined therapy of carboplatin and paclitaxel the standard of care, with limited efficacy. Therefore, new therapeutic options and better monitoring tools are needed to improve the management of the disease. In the current case report, we showcase the value of liquid biopsy analyses in a microsatellite instability EC patient with initially good prognosis that however underwent rapid progression disease within 6 months post-surgery; through the study of plasma cfDNA/ctDNA dynamics to assess the tumour evolution during treatment, as well as the study of the uterine aspirate as a valuable sample that captures the intra-tumour heterogeneity that allows a comprehensive genomic profiling of the disease to identify potential therapeutic options. Furthermore, preclinical models were generated at the time of tumour progression to assess the efficacy of the identified targeted therapies.     

Critical Review on Fatty Acid-Based Food and Nutraceuticals as Supporting Therapy in Cancer

Fatty acids have an important place in both biological and nutritional contexts and, from a clinical point of view, they have known consequences for diseases’ onset and development, including cancer. The use of fatty acid-based food and nutraceuticals to support cancer therapy is a multidisciplinary subject, involving molecular and clinical research. Knowledge regarding polyunsaturated fatty acids essentiality/oxidizability and the role of lipogenesis-desaturase pathways for cell growth, as well as oxidative reactivity in cancer cells, are discussed, since they can drive the choice of fatty acids using their multiple roles to support antitumoral drug activity. The central role of membrane fatty acid composition is highlighted for the application of membrane lipid therapy. As fatty acids are also known as biomarkers of cancer onset and progression, the personalization of the fatty acid-based therapy is also possible, taking into account other important factors such as formulation, bioavailability and the distribution of the supplementation. A holistic approach emerges combining nutra- and pharma-strategies in an appropriate manner, to develop further knowledge and applications in cancer therapy.     

NSCLC as the Paradigm of Precision Medicine at Its Finest: The Rise of New Druggable Molecular Targets for Advanced Disease

Standard treatment for advanced non-small cell lung cancer (NSCLC) historically consisted of systemic cytotoxic chemotherapy until the early 2000s, when precision medicine led to a revolutionary change in the therapeutic scenario. The identification of oncogenic driver mutations in EGFR, ALK and ROS1 rearrangements identified a subset of patients who largely benefit from targeted agents. However, since the proportion of patients with druggable alterations represents a minority, the discovery of new potential driver mutations is still an urgent clinical need. We provide a comprehensive review of the emerging molecular targets in NSCLC and their applications in the advanced setting.     

Challenges in Metabolomics-Based Tests,Biomarkers Revealed by Metabolomic Analysis,and the Promise of the Application of Metabolomics in Precision Medicine

Metabolomics helps identify metabolites to characterize/refine perturbations of biological pathways in living organisms. Pre-analytical, analytical, and post-analytical limitations that have hampered a wide implementation of metabolomics have been addressed. Several potential biomarkers originating from current targeted metabolomics-based approaches have been discovered. Precision medicine argues for algorithms to classify individuals based on susceptibility to disease, and/or by response to specific treatments. It also argues for a prevention-based health system. Because of its ability to explore gene–environment interactions, metabolomics is expected to be critical to personalize diagnosis and treatment. Stringent guidelines have been applied from the very beginning to design studies to acquire the information currently employed in precision medicine and precision prevention approaches. Large, prospective, expensive and time-consuming studies are now mandatory to validate old, and discover new, metabolomics-based biomarkers with high chances of translation into precision medicine. Metabolites from studies on saliva, sweat, breath, semen, feces, amniotic, cerebrospinal, and broncho-alveolar fluid are predicted to be needed to refine information from plasma and serum metabolome. In addition, a multi-omics data analysis system is predicted to be needed for omics-based precision medicine approaches. Omics-based approaches for the progress of precision medicine and prevention are expected to raise ethical issues.     

基于多元非线性回归算法的动车组变压器温度预测研究

对动车组状态参数进行预测是实现动车组数字化精准维修的重要前提之一.目前对动车组数据的利用方式主要以定量观测和定性分析为主,缺乏准确的状态预测量.为此,文章提出了一种基于多元非线性回归的预测算法,通过建立变压器温度预测模型,实现了变压器温度值的次日预测,并以此指导由温度导向的变压器日常运维项目.通过对比CRH5A型动车组...