自能源减速器称重动态过程的仿真研究

对自能源减速器称重过程的动态性能进行机理研究,建立了称重动态过程的数学模型,并进行了仿真计算,仿真结果与实测吻合.在此基础上分析了溜放速度、容腔及管路内油液的可压缩性对称重结果的影响.首次提出了"完全称重"、"部分称重"、"重复称重"的概念,为减速顶的设计提供新的理论依据.     

HPLC法测定阿奇霉素的血药浓度

目的 :建立阿奇霉素血药浓度的测定方法。方法 :采用HPLC紫外检测法 ,岛津CLC CN分析柱 ,流动相为 0 1mol·L-1磷酸二氢钠 甲醇 乙腈 ( 85∶7∶8,,V/V/V) ,pH 3 0～ 3 5 ,流速 1mL·min-1,柱温 4 0℃ ,检测波长 2 10nm ,灵敏度 0 0 0 3AUFS ,提取液为氯仿 正己烷 ( 3∶2 ,V/V) ,以峰面积外标法定量。结果 :阿奇霉素血药浓度线性范围 5 0～ 5 0 0 0 μg·L-1,平均回收率( 10 0 9± 2 7) % ,日内RSD 1 2 %～ 4 3% ,日间RSD 2 8%～ 6 8%。结论 :本法简便 ,分析速度快 ,灵敏度较高 ,重复性好 ,基本能适用于临床血药浓度测定及药动学研究。     

深圳市孕妇地中海贫血产前筛查及产前诊断

目的：调查深圳市孕妇地中海贫血发病率、基因突变类型，对高风险胎儿进行产前诊断。方法：1998年1月至2002年12月采用二步法对产前检查的4136例孕妇进行地中海贫血筛查。结果：检出地中海贫血阳性病例297例，发病率7．18％，其中。地中海贫血阳性病例172例，发病率4．16％；β地中海贫血阳性病例125例，发病率3．02％。229例被确定了基因型。对19对夫妇均为地中海贫血携带者胎儿进行产前基因诊断，确定正常胎儿3例，α1地中海贫血杂合子4例，β地中海贫血杂合子8例，Bart‘S水肿胎儿2例，β地中海贫血双重杂合子2例。结论：通过产前筛查地中海贫血，确诊重症患儿及时终止妊娠，可有效地避免重症患儿的出生。     

氟罗沙星治疗细菌性感染的药物经济学研究

目的:评价氟罗沙星和氧氟沙星治疗细菌性感染的经济性.方法:治疗组患者35例,使用氟罗沙星0.3 g,静脉滴注,1次/d共10.5 d;对照组患者32例,使用氧氟沙星0.3 g,静脉滴注,2次/d,共10.5 d.运用药物经济学的成本-效果分析方法进行评价.结果:2种方案的成本-效果比(C/E)分别为22.87,20.43,效果(以有效率表示)分别为91%,84%(P＞0.05).结论:氧氟沙星经济性最佳,氟罗沙星市场价格太贵,建议厂商重新考虑市场的药品定价策略.     

Different classes of antibiotics exhibit disparate negative impacts on the therapeutic efficacy of immune checkpoint inhibitors in advanced non-small cell lung cancer patients

It has been reported that antibiotics (ATBs) have adverse effect on the efficacy of treatment with immune checkpoint inhibitors (ICIs) in cancer patients. Since different classes of ATBs have different antibacterial spectrum, we aimed to study whether all ATBs had similar or different negative effects on the clinical outcomes of ICIs in patients with advanced non-small cell lung cancer (NSCLC). Patients with advanced NSCLC who received ICIs were included in this retrospective study and grouped by the class of ATBs they had used around the ICIs treatment time. The overall survival (OS) and the progression free survival (PFS) of patients among these groups were compared using Kaplan-Meier method and Cox proportional hazards model. A total of 148 eligible patients were enrolled, and 80 patients used ATBs. The results indicated that quinolones had no significant negative consequence on the clinical outcomes, while β-lactams significantly shortened the OS and PFS of patients. Furthermore, patients exposed to the combination of β-lactams and quinolones suffered the worst OS and PFS. Moreover, the subgroup analysis of β-lactams revealed that only penicillins, but not carbapenems and cephalosporins, markedly reduced both OS and PFS. In addition to the class of ATBs used, the time frame of ATBs used also affected the clinical outcomes of ICIs therapy. Patients receiving ATBs within 60 days prior to and 30 days after the initiation of ICI treatment had significantly shorter OS and PFS compared with those who did not use ATBs. This study demonstrated that different classes of ATBs had disparate negative impacts on the clinical outcomes, and the use of β-lactams, especially penicillins, should be avoided in advanced NSCLC patients who are receiving or scheduled to receive ICIs within 60 days.     

Research on depression in Parkinson disease: A bibliometric and visual analysis of studies published during 2012–2021

Background:The diagnosis and treatment rate of Parkinson disease (PD) with depression has a low diagnostic rate, and there is no consensus on the choice of treatment mode. This study evaluates the global research trends of scientific outputs related to depression in PD from multiple perspectives, using a bibliometric analysis and visualization tool to scientifically analyze the knowledge from the literature.Methods:Literature related to depression in PD published from 2012 to 2021 was included and selected from the Web of Science Core Collection database in October 2021. CiteSpace software was used to visualize and analyze co-occurrence analyses for countries, institutions, authors, and keywords.Results:A total of 4533 articles from the Web of Science database were included. The United States made the largest contribution with the majority of publications (1215; 29.40%). Toronto University was the most productive institution. PD, depression, quality of life, dementia, nonmotor symptom, prevalence, anxiety, Alzheimer disease, symptom, and disorder would be significantly correlated with depression in PD. The current hot spots in this field focus on the following: risk factors for depression in PD, assessment scale of depression in PD, and rehabilitation of depression in PD.Conclusions:This analysis not only reveals the current research trends and hotspots but also provides some instructive suggestions on the development of depression in PD.     

A Numerical Measurement Method for Dynamic Granular Materials Based on Computer Vision

Granular materials are widespread in nature and human production, and their macro-mechanical behavior is significantly affected by granule movement. The development of computer vision has brought some new ideas for measuring the numerical information (including the amount of translation, the rotation angle, velocity, acceleration, etc.) of dynamic granular materials. In this paper, we propose a numerical measurement method for dynamic granular materials based on computer vision. Firstly, an improved video instance segmentation (VIS) network is introduced to perform end-to-end multi-task learning, and its temporal feature fusion module and tracking head with long-sequence external memory can improve the problems of poor video data quality and high similarity in appearance of granular materials, respectively. Secondly, the numerical information can be extracted through a series of post-processing steps. Finally, the effectiveness of the measurement method is verified by comparing the numerical measurement results with the real values. The experimental results indicate that our improved VIS obtains an average precision (AP) of 76.6, the relative errors and standard deviations are maintained at a low level, and this method can effectively be used to measure the numerical information of dynamic granular materials. This study provides an intelligent proposal for the task of measuring numerical information of dynamic granular materials, which is of great significance for studying the spatial distribution, motion mode and macro-mechanical behavior of granular materials.