Comprehensive Analysis of hsa-miR-654-5p’s Tumor-Suppressing Functions

The pivotal roles of miRNAs in carcinogenesis, metastasis, and prognosis have been demonstrated recently in various cancers. This study intended to investigate the specific roles of hsa-miR-654-5p in lung cancer, which is, in general, rarely discussed. A series of closed-loop bioinformatic functional analyses were integrated with in vitro experimental validation to explore the overall biological functions and pan-cancer regulation pattern of miR-654-5p. We found that miR-654-5p abundance was significantly elevated in LUAD tissues and correlated with patients’ survival. A total of 275 potential targets of miR-654-5p were then identified and the miR-654-5p-RNF8 regulation axis was validated in vitro as a proof of concept. Furthermore, we revealed the tumor-suppressing roles of miR-654-5p and demonstrated that miR-654-5p inhibited the lung cancer cell epithelial-mesenchymal transition (EMT) process, cell proliferation, and migration using target-based, abundance-based, and ssGSEA-based bioinformatic methods and in vitro validation. Following the construction of a protein–protein interaction network, 11 highly interconnected hub genes were identified and a five-genes risk scoring model was developed to assess their potential prognostic ability. Our study does not only provide a basic miRNA-mRNA-phenotypes reference map for understanding the function of miR-654-5p in different cancers but also reveals the tumor-suppressing roles and prognostic values of miR-654-5p.     

Engineering practice of reducing ground subsidence by grouting into overburden bed-separated and similar model experiment

The subsidence prediction theory under the condition of grouting into bedseparated was developed. Reducing ground subsidence by grouting was carried out on eight fully-mechanized top-coal caving faces, by using the continuous grouting in multiple-layer to obtain experiment results of reducing subsidence under fully mining. The similar material model that can be dismantled under the condition of constant temperature and constant humidity was developed. The model was used to simulate the evolution of overburden bed-separated under such constraints of temperature and humidity, at the same time, and to test the hardening process of similar materials.     

基于局部变分贝叶斯推断的分布式交互式多模型估计

针对目前部分多模型算法预先设定运动模型转移概率矩阵对状态估计精度的不利影响,本文提出了一种基于局部变分贝叶斯推断的分布式交互式多模型估计算法.不同于传统交互式多模型估计中运动模型转移概率矩阵为先验已知的假设条件,在分布融合估计框架下,首先基于最小化Kullback-Leibler散度准则的递归优化策略实现对运动模型转移概率矩阵的预测与更新;在此基础上,结合变分贝叶斯推断实现对当前时刻目标状态与模型概率的联合估计;最后依据协方差交叉融合策略完成对局部状态估计融合.仿真结果表明:新算法通过对运动模型转移概率矩阵以及模型概率自适应在线估计,有效提升了机动目标的状态估计精度.     

原油标准体积管结蜡造成的后果及解决方法

探讨了原油动态计量中标准体积管结蜡所引起的误差、原因分析和经济损失,提出了解决问题的办法。     

基于二代Curvelet变换的红外与可见光图像融合

针对红外与可见光成像传感器的物理特性,提出了一种基于二代Curvelet变换的图像融合算法.首先对原始图像分别进行快速离散Curvelet变换,得到不同尺度与方向下的子带系数.对低频子带系数,根据红外图像的目标特性与可见光图像的细节信息确定其融合权值;对不同尺度与方向下的高频子带系数,采用基于局部区域能量匹配的融合规则.最后经Curvelet逆变换得到融合结果.实验结果表明,该算法可以有效地综合可见光与红外图像中的重要信息,其融合结果较典型的基于塔式分解与基于小波变换的图像融合算法,在主观视觉效果与客观评价指标上均有所改善.     

基于HOG及在线多实例学习的目标跟踪算法

传统的基于色彩直方图或空间色彩直方图的跟踪算法在跟踪目标出现尺度变化的复杂条件下,因无法显著区分颜色相近的目标和背景,不能得到准确跟踪结果.提出基于HOG及在线多实例学习的目标跟踪算法.此算法采用HOG特征值提取方式,结合在线多实例学习技术,对目标远离场景、平移、旋转、遮挡等情况进行跟踪.实验结果表明,该算法能够对各种复杂情况下的动态目标进行有效跟踪,具有良好的鲁棒性和准确性.     

利用激光脉冲飞行时间测量货车车厢体积

介绍了利用激光脉冲飞行时间测距技术测量货车车厢体积的技术方案。通过该方法,可以准确地把2~6轴货车的车厢体积从货车体积中分离出来并计算得到。通过所采用的三阶高度矩算法此算法来源于数字图像处理边缘检测中的三阶灰度矩,对于各种车轴的货车,都可以精确地去除车头和车底货架并计算出车厢体积,而且针对台阶状的6轴车,台阶点的位置和车厢体积也能准确地获得。此外,所介绍的货车截面数据翻摺拼合技术激光扫描测距仪的数量可以减少到2台。该测试方式已应用到货车厢体积测量的实际工程中,通过大量实际货车数据验证,它能很好地计算出货车厢的体积。     

一种基于特征匹配的目标识别跟踪方法

针对复杂背景下的动态目标跟踪问题,提出了一种基于边缘检测,综合多图像特征与伺服机构位置信息进行匹配的目标识别跟踪方法。利用SUSAN算法检测边缘,提取出单帧图像中的可疑目标,依次选用灰度、目标几何、伺服机构位置信息和边界不变矩信息匹配,完成目标的识别。采用kalman预测滤波对脱靶量滞后时间进行补偿,选用目标空间位置进行多步预测,引导伺服机构跟踪。外场实验表明,该方法能有效她匹配识别出目标,并保持连续稳定的跟踪。     

HIV-2 Neutralization Sensitivity in Relation to Co-Receptor Entry Pathways and Env Motifs

HIV-2, compared to HIV-1, elicits potent and broadly neutralizing antibodies, and uses a broad range of co-receptors. However, both sensitivity to neutralization and breadth of co-receptor use varies between HIV-2 isolates, and the molecular background is still not fully understood. Thus, in the current study, we have deciphered relationships between HIV-2 neutralization sensitivity, co-receptor use and viral envelope glycoprotein (Env) molecular motifs. A panel of primary HIV-2 isolates, with predefined use of co-receptors, was assessed for neutralization sensitivity using a set of HIV-2 Env-directed monoclonal antibodies and co-receptor indicator cell lines. Neutralization sensitivity of the isolates was analysed in relation target cell co-receptor expression, in addition to amino acid motifs and predicted structures of Env regions. Results showed that HIV-2 isolates were more resistant to neutralizing antibodies when entering target cells via the alternative co-receptor GPR15, as compared to CCR5. A similar pattern was noted for isolates using the alternative co-receptor CXCR6. Sensitivity to neutralizing antibodies appeared also to be linked to specific Env motifs in V1/V2 and C3 regions. Our findings suggest that HIV-2 sensitivity to neutralization depends both on which co-receptor is used for cell entry and on specific Env motifs. This study highlights the multifactorial mechanisms behind HIV-2 neutralization sensitivity.     

Albumin Binds Doxorubicin via Self–Assembling Dyes as Specific Polymolecular Ligands

Congo red (CR) type self–assembled ribbon–like structures (SRLS) were previously shown to interact with some proteins, including albumin. SRLS also complex with some drugs with a flat, ring–shaped structure with aromatic characteristics, intercalating them into their ribbon structure. The combination of interaction with proteins and drug binding by SRLS enables the use of such systems for immunotargeting. It is especially interesting in the case of chemotherapeutic agents. The present experiments aimed to show that the model carrier system composed of supramolecular albumin and Congo red efficiently binds doxorubicin (Dox) and that the drug can be released at reduced pH. The presented results come from the studies on such complexes differing in the molar ratio of CR to Dox. The following methods were used for the analysis: electrophoresis, dialysis, gel filtration, spectral analysis, and analysis of the size of the hydrodynamic radius using the dynamic light scattering method (DLS). The applied methods confirmed the formation of the CR–Dox complex, with large dimensions and changed properties compared with free CR. The presented results show that albumin binds both CR and its complex with Dox. Various CR–Dox molar ratios, 5:1, 2:1, and 1:1, were analyzed. The confirmation of the possibility of releasing the drug from the carriers thus formed was also obtained. The presented research is important due to the search for optimal solutions for the use of SRLS in drug immunotargeting, with particular emphasis on chemotherapeutic agents.