软体排塌陷弯曲变形的应变响应特征分析

软体排是长江中下游航道主要的洲滩防护结构,其变形的应变响应特征对评估分析软体排服役状态具有重要意义,目前对此研究较少。针对目前软体排塌陷变形应变响应特征研究存在的难点,开展模型试验,研究软体排塌陷弯曲变形下的应变响应特征,并提出排体塌陷变形的识别方法。结果表明:排体塌陷变形时断面应变呈“双峰”型的分布特征;该分布特征是由于内部排体弯曲变形并向内卷缩,通过定点处的固定作用带动光纤受压,导致该部分感测光纤呈现负应变而形成。

水流冲刷作用下软体排守护边滩失稳机理概化模型试验初步研究

软体排是河道与航道整治工程中广泛应用的洲滩守护结构,排体所护边滩的稳定性对排体变形及服役状态具有重要影响.水流作用下的边滩局部动力环境复杂,其失稳模式与水下自由边坡模式不同,失稳模式及产生机理有待探究.基于概化物理模型试验,对排体守护下的边滩失稳模式及形成机理开展研究.研究表明,排体守护边滩会发生牵引型与滑覆型两种失稳形式,边滩牵引型失稳所引起的排体应变响应较小,发生在排体整个冲刷周期.排尾冲刷变形累计达到一定程度后会产生偶发性的滑覆型失稳,引起边滩产生大范围滑动失稳及排体大范围沉降变形;排体守护下边滩滑覆型失稳的机理:水流冲刷引起边滩潜在滑动面下移,随边缘冲刷深度的增加,潜在滑动面与水平面的夹角不断增大,稳定性不断降低,最终导致潜在滑动面力学失稳(F_(s)<1),引起内部边滩产生大范围的滑覆型失稳.

A pilot study of precision treatment for patients with lung cancer pain by Longteng Tongluo recipe(龙藤通络方)using serum genomics

OBJECTIVE:To investigate the efficacy of Longteng Tongluo recipe(龙藤通络方,LTTL)combined with threestep analgesia for the treatment of lung cancer pain,and the changes in serum miRNA expressions before-and after treatment with LTTL and its correlation with lung cancer pain.The possible mechanism underlying LTTL effects on the treatment of lung cancer pain was conducted.METHODS:The pilot study was conducted at the oncology ward of the Yueyang Hospital and the Longhua Hospital between March 2018 and October 2019.A prospective,single-blind,placebo controlled,randomized clinical trial of LTTL or placebo combined with three-step analgesia treatments were administered to 24 cancer pain patients diagnosed with lung cancer.Analgesic efficacy was investigated as the primary outcome.Equivalent morphine consumption and numerical rating scale(NRS)scores were used as the secondary outcome.In the present study,we utilized deep sequencing techniques to compare the differential miRNA expressions in serum samples obtained from two groups:the lung cancer pain treatment group(LTTL+three-step analgesia)and the control group(placebo+three-step analgesia).Next,we employed the target prediction database to investigate the target genes for differential miRNA expressions and Gene Ontology(GO)analysis along with Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis to examine the roles and the major biochemical and signaling pathways related to the differentially expressed target genes,respectively.RESULTS:LTTL treatment significantly reduces the NRS score(P=0.021)as compared to those before treatment,along with significant reductions in the total morphine equivalent consumption(P=0.007)and the average daily equivalent morphine consumption(P=0.003)as opposed to the control group.The expressions of 31 miRNAs differed considerably between the two groups of patients(≥2 times up-modulated or down-regulated between these groups,P<0.05).For instance,the miRNAs expression levels for patients before treatment(has-miR-2110 and has-miR-7d-3p)were significantly enhanced as compared to the healthy people,after LTTL treatment,the expressions of miR-2110 and miR-7d-3p in patients with lung cancer pain reduced significantly.Studies show that the above two miRNAs were significantly associated with lung cancer pain,which could mediate lung cancer pain.Furthermore,we identified 355 genes as potential targets of the 31 differentially expressed miRNAs.Pathway enrichment analyses using KEGG and GO analysis indicated that these target genes may play a crucial role in the development and modulation of lung cancer pain.CONCLUSION:LTTL demonstrated a discernible impact on alleviating lung cancer pain and its mechanism of action may be related to the downregulation of has-miR-2110 and has-miR-7d-3p expressions.This pilot study provides support for further exploration of LTTL in patients with lung cancer pain.

个体化预测急性ST段抬高型心肌梗死患者发生自发再灌注的列线图模型的建立

目的:建立预测急性ST段抬高型心肌梗死(STEMI)患者发生自发再灌注的个性化列线图模型。方法:选取2016年12月1日-2019年12月24日南方医科大学深圳医院收治的初发型STEMI患者108例,根据急诊冠状动脉造影TIMI评分,分为自发再灌注组(TIMI 2~3级,SR组)和无自发再灌注组(TIMI 0~1级,NSR组)。通过单因素及多因素Logistic回归分析得到急性STEMI患者自发再灌注的独立预测因素,应用R语言软件建立列线图模型并对其进行验证。结果:单因素及多因素Logistic回归分析显示,年龄<55岁(OR=1.200,95%CI:1.025~1.405)、发病至用药时间<3.7 h(OR=3.040,95%CI:1.249~7.403)、术前ST段回落≥50%(OR=2.171,95%CI:1.194~3.946)、胸痛评分下降>5分(OR=1.156,95%CI:1.100~1.215)以及肌酸激酶同工酶(CK-MB)<185 U/L(OR=1.048,95%CI:1.002~1.095)是急性STEMI患者发生自发再灌注的独立预测因素。基于上述独立预测因素建立列线图模型,验证后发现预测值同实测值基本一致,提示预测模型拟合度良好。随后采用Bootstrap内部验证法对预测模型进行验证,C-index为0.968(95%CI:0.916~0.997),说明该列线图预测模型预测效能高。结论:基于年龄、发病至用药时间、术前ST段回落、胸痛评分下降以及CK-MB等因素建立的个体化列线图模型预测急性STEMI患者发生自发再灌注的能力较好,临床应用价值高。