As a popular nondestructive testing (NDT) technique, thermal imaging test demonstrates competitive performance in crack detection, especially for detecting subsurface cracks. In thermal imaging test, the temperature of the crack area is higher than that of the non-crack area during the NDT process. By extracting the features of the thermal image sequences, the temperature curve of each spatial point is employed for crack detection. Nevertheless, the quality of thermal images is influenced by the noises due to the complex thermal environment in NDT. In this paper, a modified generative adversarial network (GAN) is employed to improve the image segmentation performance. To improve the feature extraction ability and alleviate the influence of noises, a penalty term is put forward in the loss function of the conventional GAN. A data preprocessing method is developed where the principle component analysis algorithm is adopted for feature extraction. The data argumentation technique is utilized to guarantee the quantity of the training samples. To validate its effectiveness in thermal imaging NDT, the modified GAN is applied to detect the cracks on the eddy current pulsed thermography NDT dataset.
We examined a novel linkage of national US donor registry data with records from a pharmacy claims warehouse (2007‐2016) to examine associations (adjusted hazard ratio, LCLaHRUCL) of post‐donation fills of antidiabetic medications (ADM, insulin or non‐insulin agents) with body mass index (BMI) at donation and other demographic and clinical factors. In 28 515 living kidney donors (LKDs), incidence of ADM use at 9 years rose in a graded manner with higher baseline BMI: underweight, 0.9%; normal weight, 2.1%; overweight, 3.5%; obese, 8.5%. Obesity was associated with higher risk of ADM use compared with normal BMI (aHR, 3.364.596.27). Metformin was the most commonly used ADM and was filled more often by obese than by normal weight donors (9‐year incidence, 6.87% vs 1.85%, aHR, 3.555.007.04). Insulin use was uncommon and did not differ significantly by BMI. Among a subgroup with BMI data at the 1‐year post‐donation anniversary (n = 19 528), compared with stable BMI, BMI increase >0.5 kg/m2 by year 1 was associated with increased risk of subsequent ADM use (aHR, 1.031.482.14,P = .04). While this study did not assess the impact of donation on the development of obesity, these data support that among LKD, obesity is a strong correlate of ADM use. 相似文献
To assess factors that influence the choice of induction regimen in contemporary kidney transplantation, we examined center‐identified, national transplant registry data for 166 776 US recipients (2005–2014). Bilevel hierarchical models were constructed, wherein use of each regimen was compared pairwise with use of interleukin‐2 receptor blocking antibodies (IL2rAb). Overall, 82% of patients received induction, including thymoglobulin (TMG, 46%), IL2rAb (22%), alemtuzumab (ALEM, 13%), and other agents (1%). However, proportions of patients receiving induction varied widely across centers (0–100%). Recipients of living donor transplants and self‐pay patients were less likely to receive induction treatment. Clinical factors associated with use of TMG or ALEM (vs. IL2rAb) included age, black race, sensitization, retransplant status, nonstandard deceased donor, and delayed graft function. However, these characteristics explained only 10–33% of observed variation. Based on intraclass correlation analysis, “center effect” explained most of the variation in TMG (58%), ALEM (66%), other (51%), and no induction (58%) use. Median odds ratios generated from case‐factor adjusted models (7.66–11.19) also supported large differences in the likelihood of induction choices between centers. The wide variation in induction therapy choice across US transplant centers is not dominantly explained by differences in patient or donor characteristics; rather, it reflects center choice and practice. 相似文献
目的 从分子水平探究交泰丸治疗心律失常的作用机制。方法 ①采用中医药整合药理学研究平台(Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine, TCMIP)V2.0,检索并获取黄连和肉桂活性成分、靶标,以及心律失常疾病和证候靶标信息,借助平台构建“中药-证素-疾病-靶标-通路”多维网络,获得药物干预疾病的关键靶标,通过基因本体数据库(Gene Ontology,GO)和京都基因与基因组百科全书库(Kyoto Encyclopaedia of Genes and Genomes,KEGG)进行富集分析,预测交泰丸治疗心律失常的分子机制。②选取雄性SD大鼠32只,随机分为对照组(N)、模型组(M)、交泰丸组(J)、阳性药组(Meto)4组,以尾静脉推注肾上腺素(Epi)制造心律失常模型,利用酶联免疫吸附法(ELISA)观察各组大鼠血浆血管紧张素Ⅱ(AngⅡ)、儿茶酚抑素(CST)、神经肽Y(NPY)的含量。结果 ①交泰丸共筛选出23个活性成分(黄连14个,肉桂9个),心律失常相关靶标850个。这些活性成分通过调控基因表达的正调控、丝裂原活化蛋白激酶(mitogen-activated protein kinase,MAPK)级联激活、信号识别颗粒(signal recognition particle,SRP)依赖的共翻译蛋白靶向膜、细胞因子介导的信号通路、调节心室心肌细胞动作电位、通过心脏传导调节心率等生物过程,直接或间接参与促红细胞生成素激活肾素-血管紧张素系统(RAS)、加速纤维肉瘤蛋白(rapidly accelerated fibrosarcoma,RAF)激活等信号通路,从而发挥抗心律失常的作用。②模型组大鼠血浆AngⅡ、CST、NPY含量明显高于对照组(P<0.01),交泰丸组AngⅡ、CST、NPY水平与模型组比较明显下降(P<0.05或P<0.01),且交泰丸组疗效优于阳性药组。结论 通过整合药理学策略结合药效验证,揭示了交泰丸多途径抗心律失常作用的分子机制,验证了RAS系统与交感神经活性在心律失常中的重要作用,并明确交泰丸对心律失常有一定的调节作用,疗效确切。 相似文献