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Objective To investigate the the clinical application of triglyceride-glucose (TyG) index and its correlation with atherosclerosis in patients with type 2 diabetes mellitus (T2DM). Methods From January 2020 to December 2022，499 patients with T2DM were screened from the inpatients and physical examination populations of Nanjing Jiangbei Hospital. Based on the presence or absence of atherosclerotic plaques， the subjects were divided into T2DM with plaques group (n=249) and T2DM without plaques group (n=250). The subjects underwent medical history collection，physical examination，and serum biochemical testing. The TyG index was calculated，and the correlation between TyG and common risk factors for T2DM atherosclerosis was statistically analyzed. Results The age，systolic blood pressure (SBP)，triglyceride (TG)，total cholesterol (TC)，fasting blood glucose (FBG)，glycosylated hemoglobin (HbA1c)，and apolipoprotein A of the T2DM without plaques group were lower than those in the T2DM with plaques group, the diastolic blood pressure (DBP) was higher than that in the T2DM with plaques group (P＜0.05). The TyG index in the T2DM with plaques group was higher than that in the T2DM without plaques group (11.52±0.37 vs 9.34±0.48, t=56.803, P＜0.01). TyG index was positively correlated with age, SBP, TG, TC, low-density lipoprotein cholesterol (LDL-C), uric acid (UA), and HbA1c (P＜0.05)，and negatively correlated with high-density lipoprotein cholesterol (HDL-C) and fasting C-peptide (P＜0.05). The area under ROC curve of TyG index for predicting T2DM atherosclerosis was 0.611 ，with a best cut-off value of 10.21，sensitivity of 84.8%, and specificity of 62.2%. Conclusion TyG index is closely related to multiple risk factors for atherosclerosis in patients with T2DM. TyG index combined with risk factors for atherosclerosis can comprehensively assess the risk of T2DM atherosclerosis development.

Tree barriers in transmission line corridors are an important safety hazard.Scientific prediction of tree height and monitoring tree height changes are essential to solve this hidden danger. In this paper, the advantages of airborne lidar and optical remote sensing data are combined to research the method of tree height inversion. Based on glas data of lidar,waveform parameters such as waveform length, waveform leading edge length and waveform trailing edge length were extracted from waveform data by gaussian decomposition method.Terrain feature parameters were extracted from aster gdem data.The tree crown information was extracted from the optical remote sensing image by means of the mean shift algorithm. Then extract the vegetation index with high correlation with tree height.Finally, the extracted waveform feature parameters, topographic feature parameters, and crown index and vegetation index with high correlation are used as model input variables. The tree height inversion model was established using four regression methods, including multiple linear regression (mlr), support vector machine (svm), random forest (rf), and bp neural network (bpnn). The accuracy evaluation was conducted, and it was concluded that the tree height inversion model based on random forest obtained the best accuracy effect.

Abstract Thin-walled, open-ended, and well-aligned N-doped carbon nanotubes (CNTs) on the quartz slides were synthesized by using acetonitrile as carbon sources. As-obtained products possess large thin-walled index (TWI, defined as the ratio of inner diameter and wall thickness of a CNT). The effect of temperature on the growth of CNTs using acetonitrile as the carbon source was also investigated. It is found that the diameter, the TWI of CNTs increase and the Fe encapsulation in CNTs decreases as the growth temperature rises in the range of 780–860°C. When the growth temperature is kept at 860°C, CNTs with TWI = 6.2 can be obtained. It was found that the filed-emission properties became better as CNT growth temperatures increased from 780 to 860°C. The lowest turn-on and threshold field was 0.27 and 0.49 V/μm, respectively. And the best field-enhancement factors reached 1.09 × 105, which is significantly improved about an order of magnitude compared with previous reports. In this study, about 30 × 50 mm2 free-standing film of thin-walled open-ended well-aligned N-doped carbon nanotubes was also prepared. The free-standing film can be transferred easily to other substrates, which would promote their applications in different fields.

Abstract Sulfur (S) is introduced as an additive in the growth atmosphere of carbon nanotubes (CNTs) in the range of 940-1020°C. CNT products with distorted sidewalls can be obtained by S-assisted growth. Moreover, many fascinating CNT structures can also be found in samples grown with S addition, such as bamboo-like CNTs, twisted CNTs, arborization-like CNTs, and bead-like CNTs. Compared with CNTs grown without S, more nitrogen-doping content is achieved in CNTs with S addition, which is beneficial for the properties and applications of nitrogen-doped CNTs. In addition, S can also enhance the encapsulation of ferromagnetic materials and thus improve the soft magnetic properties of CNTs, which is favorable to the applications of CNTs in the electromagnetic wave-absorbing and magnetic data storage areas.