基于视觉目标跟踪的侦察机器人导航方法

针对未知环境下侦察机器人的自主导航问题,提出了一种基于视觉目标跟踪的侦察机器人导航方法.首先利用二进制鲁棒独立元素特征(BRIEF)提取方法来检测和描述待跟踪视觉目标的局部不变特征点,在快速的特征匹配计算基础上提出由粗到精的目标定位两步法实现机器人导航过程中视觉目标的实时准确跟踪.其次对基于视觉目标跟踪的自主导航任务进行行为分解和实现,在行为中集成视觉目标跟踪算法.最后利用基于宏行为的机器人事务执行机制实现移向视觉目标的自主导航控制.实验结果表明,提出的方法能够使侦察机器人实时准确地跟踪视觉引导目标,在复杂障碍物环境下可靠地完成移向目标的自主导航任务.     

热轧带钢轧制批量计划的实例应用

应用轧钢厂生产批量计划的理论方法,从热轧带钢的实际生产工艺出发,建立了热轧生产批量的具体模型·对模型参数的结构进行了分析,给出了模型参数的具体表达,并应用遗传算法用来求解热轧带钢生产计划问题·组合了运筹学与人机协调系统,开发了实验性原形系统·这个系统不但改进热轧调度的质量,由调度系统产生的热轧调度优于手工系统产生的调度,平均改进在２０％以上,而且降低了产生热轧调度的时间·     

美国中产阶级的“美国梦”研究——以《兔子,快跑》为例

"美国梦"的概念的出现,反映了美国人积极向上的精神,即人只要努力奋斗就能过上体面人的生活。围绕这种共识,约翰·厄普代克出版的《兔子,快跑》一书,生动地刻画了在美国梦理念下哈利·阿斯特罗姆的人生历程,折射了美国中产阶级面临的困惑与迷茫,并对美国梦进行了深刻的反思。     

浅谈变电站自动化系统调试

文章从变电站现场调试工作前的准备到设备投运的整个工作程序和调试方法及注意事项进行了详细介绍,并说明了细节问题应注意的事项。     

Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods

Financial distress prediction (FDP) has been widely considered as a promising approach to reducing financial losses. While financial information comprises the traditional factors involved in FDP, nonfinancial factors have also been examined in recent studies. In light of this, the purpose of this study is to explore the integrated factors and multiple models that can improve the predictive performance of FDP models. This study proposes an FDP framework to reveal the financial distress features of listed Chinese companies, incorporating financial, management, and textual factors, and evaluating the prediction performance of multiple models in different time spans. To develop this framework, this study employs the wrapper-based feature selection method to extract valuable features, and then constructs multiple single classifiers, ensemble classifiers, and deep learning models in order to predict financial distress. The experiment results indicate that management and textual factors can supplement traditional financial factors in FDP, especially textual ones. This study also discovers that integrated factors collected 4 years prior to the predicted benchmark year enable a more accurate prediction, and the ensemble classifiers and deep learning models developed can achieve satisfactory FDP performance. This study makes a novel contribution as it expands the predictive factors of financial distress and provides new findings that can have important implications for providing early warning signals of financial risk.     

An eicosanoid-centric view of atherothrombotic risk factors

Cardiovascular disease is the foremost cause of morbidity and mortality in the Western world. Atherosclerosis followed by thrombosis (atherothrombosis) is the pathological process underlying most myocardial, cerebral, and peripheral vascular events. Atherothrombosis is a complex and heterogeneous inflammatory process that involves interactions between many cell types (including vascular smooth muscle cells, endothelial cells, macrophages, and platelets) and processes (including migration, proliferation, and activation). Despite a wealth of knowledge from many recent studies using knockout mouse and human genetic studies (GWAS and candidate approach) identifying genes and proteins directly involved in these processes, traditional cardiovascular risk factors (hyperlipidemia, hypertension, smoking, diabetes mellitus, sex, and age) remain the most useful predictor of disease. Eicosanoids (20 carbon polyunsaturated fatty acid derivatives of arachidonic acid and other essential fatty acids) are emerging as important regulators of cardiovascular disease processes. Drugs indirectly modulating these signals, including COX-1/COX-2 inhibitors, have proven to play major roles in the atherothrombotic process. However, the complexity of their roles and regulation by opposing eicosanoid signaling, have contributed to the lack of therapies directed at the eicosanoid receptors themselves. This is likely to change, as our understanding of the structure, signaling, and function of the eicosanoid receptors improves. Indeed, a major advance is emerging from the characterization of dysfunctional naturally occurring mutations of the eicosanoid receptors. In light of the proven and continuing importance of risk factors, we have elected to focus on the relationship between eicosanoids and cardiovascular risk factors.     

Frequent mutations of chromatin remodeling genes in transitional cell carcinoma of the bladder

Transitional cell carcinoma (TCC) is the most common type of bladder cancer. Here we sequenced the exomes of nine individuals with TCC and screened all the somatically mutated genes in a prevalence set of 88 additional individuals with TCC with different tumor stages and grades. In our study, we discovered a variety of genes previously unknown to be mutated in TCC. Notably, we identified genetic aberrations of the chromatin remodeling genes (UTX, MLL-MLL3, CREBBP-EP300, NCOR1, ARID1A and CHD6) in 59% of our 97 subjects with TCC. Of these genes, we showed UTX to be altered substantially more frequently in tumors of low stages and grades, highlighting its potential role in the classification and diagnosis of bladder cancer. Our results provide an overview of the genetic basis of TCC and suggest that aberration of chromatin regulation might be a hallmark of bladder cancer.     

Histone deacetylase inhibitors augment doxorubicin-induced DNA damage in cardiomyocytes

Histone deacetylase inhibitors have emerged as a new class of anticancer therapeutics with suberoylanilide hydroxamic acid (Vorinostat) and depsipeptide (Romidepsin) already being approved for clinical use. Numerous studies have identified that histone deacetylase inhibitors will be most effective in the clinic when used in combination with conventional cancer therapies such as ionizing radiation and chemotherapeutic agents. One promising combination, particularly for hematologic malignancies, involves the use of histone deacetylase inhibitors with the anthracycline, doxorubicin. However, we previously identified that trichostatin A can potentiate doxorubicin-induced hypertrophy, the dose-limiting side-effect of the anthracycline, in cardiac myocytes. Here we have the extended the earlier studies and evaluated the effects of combinations of the histone deacetylase inhibitors, trichostatin A, valproic acid and sodium butyrate on doxorubicin-induced DNA double-strand breaks in cardiomyocytes. Using γH2AX as a molecular marker for the DNA lesions, we identified that all of the broad-spectrum histone deacetylase inhibitors tested augment doxorubicin-induced DNA damage. Furthermore, it is evident from the fluorescence photomicrographs of stained nuclei that the histone deacetylase inhibitors also augment doxorubicin-induced hypertrophy. These observations highlight the importance of investigating potential side-effects, in relevant model systems, which may be associated with emerging combination therapies for cancer.     

激光扫描淀积原位生长高TC超导薄膜

用激光束扫描淀积的方法，成功地在ＺｒＯ２（Ｙ），ＬａＡｌＯ３基片原位生长高质量的ＹＢａ２Ｃｕ３Ｏ７－ｘ高温超导薄膜，其临界温度达到９０Ｋ以上，ＳＥＭ及ＸＲＤ分析表明，薄膜沿Ｃ轴择优外延生长，其结晶性很好，表现光滑均匀。