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The TiC/IN625 coatings were prepared on 45 steel substrates by using extreme-high-speed laser cladding(EHLA) technology. The effect of different heat treatment temperatures(800, 1000 ℃ and 1200 ℃) on the microstructure, surface morphology, residual stress and corrosion resistance of TiC/IN625 coatings was analyzed. The results show that the coating segregation phenomenon is alleviated with the increase of heat treatment temperature. The distribution of Ti elements in the HT1000 coating is more uniform than that in the HT0 and HT800 coatings. The part Laves phase in the HT0 coatings starts to dissolve in the HT1000 coatings, releasing Nb elements that recombine with C and Ti elements to generate MC (M=Nb, Ti) carbides. The large-sized carbides in the microstructure of HT1200 coatings surface dissolve. The other elements, such as Ti and Ni, more homogeneously distribute and diffuse into the inter-dendritic region. The residual stress on the HT0 coatings surface is mostly expressed as residual tensile stress, with a maximum value of 362 MPa. The electrochemical corrosion tests indicate that the open-circuit potential is increased from －0.139 V for the HT0 coatings to －0.132 V for the HT1200 coatings. The charge transfer resistance (Rct) of HT800, HT1000 and HT1200 coatings is also larger than that of the HT0 coatings, with an increase of 46.2%, 31.2% and 64.3% compared to the HT0 coating's 4.785×105 Ω∙cm2, respectively.

Abstract Background Circular RNAs (circRNAs) are involved in diverse processes that drive cancer development. However, the expression landscape and mechanistic function of circRNAs in osteosarcoma (OS) remain to be studied. Methods Bioinformatic analysis and high-throughput RNA sequencing tools were employed to identify differentially expressed circRNAs between OS and adjacent noncancerous tissues. The expression level of circ_001422 in clinical specimens and cell lines was measured using qRT-PCR. The association of circ_001422 expression with the clinicopathologic features of 55 recruited patients with OS was analyzed. Loss- and gain-of-function experiments were conducted to explore the role of circ_001422 in OS cells. RNA immunoprecipitation, fluorescence in situ hybridization, bioinformatics database analysis, RNA pulldown assays, dual-luciferase reporter assays, mRNA sequencing, and rescue experiments were conducted to decipher the competitive endogenous RNA regulatory network controlled by circ_001422. Results We characterized a novel and abundant circRNA, circ_001422, that promoted OS progression. Circ_001422 expression was dramatically increased in OS cell lines and tissues compared with noncancerous samples. Higher circ_001422 expression correlated with more advanced clinical stage, larger tumor size, higher incidence of distant metastases and poorer overall survival in OS patients. Circ_001422 knockdown markedly repressed the proliferation and metastasis and promoted the apoptosis of OS cells in vivo and in vitro, whereas circ_001422 overexpression exerted the opposite effects. Mechanistically, competitive interactions between circ_001422 and miR-195-5p elevated FGF2 expression while also initiating PI3K/Akt signaling. These events enhanced the malignant characteristics of OS cells. Conclusions Circ_001422 accelerates OS tumorigenesis and metastasis by modulating the miR-195-5p/FGF2/PI3K/Akt axis, implying that circ_001422 can be therapeutically targeted to treat OS.

Objective To analyze the characteristics of menicus microstructure and to reconstruct a microstructure‐mimicing 3D model of the menicus. Methods Human and sheep meniscus were collected and prepared for this study. Hematoxylin–eosin staining (HE) and Masson staining were conducted for histological analysis of the meniscus. For submicroscopic structure analysis, the meniscus was first freeze‐dried and then scanned by scanning electron microscopy (SEM). The porosity of the meniscus was determined according to SEM images. A micro‐MRI was used to scan each meniscus, immersed in distilled water, and a 3D digital model was reconstructed afterwards. A three‐dimensional (3D) resin model was printed out based on the digital model. Before high‐resolution micro‐CT scanning, each meniscus was freeze‐dried. Then, micro‐scale two‐dimensional (2D) CT projection images were obtained. The porosity of the meniscus was calculated according to micro‐CT images. With micro‐CT, multiple 2D projection images were collected. A 3D digital model based on 2D CT pictures was also reconstructed. The 3D digital model was exported as STL format. A 3D resin model was printed by 3D printer based on the 3D digital model. Results As revealed in the HE and Masson images, a meniscus is mostly composed of collagen, with a few cells disseminated between the collagen fiber bundles at the micro‐scale. The SEM image clearly shows the path of highly cross‐linked collagen fibers, and massive pores exist between the fibers. According to the SEM images, the porosity of the meniscus was 34.1% (34.1% ± 0.032%) and the diameters of the collagen fibers were varied. In addition, the cross‐linking pattern of the fibers was irregular. The scanning accuracy of micro‐MRI was 50 μm. The micro‐MRI demonstrated the outline of the meniscus, but the microstructure was obscure. The micro‐CT clearly displayed microfibers in the meniscus with a voxel size of 11.4 μm. The surface layer, lamellar layer, circumferential fibers, and radial fibers could be identified. The mean porosity of the meniscus according to micro‐CT images was 33.92% (33.92% ± 0.03%). Moreover, a 3D model of the microstructure based on the micro‐CT images was built. The microscale fibers could be displayed in the micro‐CT image and the reconstructed 3D digital model. In addition, a 3D resin model was printed out based on the 3D digital model. Conclusion It is extremely difficult to artificially simulate the microstructure of the meniscus because of the irregularity of the diameter and cross‐linking pattern of fibers. The micro‐MRI images failed to demonstrate the meniscus microstructure. Freeze‐drying and micro‐CT scanning are effective methods for 3D microstructure reconstruction of the meniscus, which is an important step towards mechanically functional 3D‐printed meniscus grafts.

Deficits in intrinsic neuronal capacities in the spinal cord, a lack of growth support, and suppression of axonal outgrowth by inhibitory molecules mean that spinal cord injury almost always has devastating consequences. As such, one of the primary targets for the treatment of spinal cord injury is to develop strategies to antagonize extrinsic or intrinsic axonal growth-inhibitory factors or enhance the factors that support axonal growth. Among these factors, a series of individual protein level disorders have been identified during the generation of axons following spinal cord injury. Moreover, an increasing number of studies have indicated that post-translational modifications of these proteins have important implications for axonal growth. Some researchers have discovered a variety of post-translational modifications after spinal cord injury, such as tyrosination, acetylation, and phosphorylation. In this review, we reviewed the post-translational modifications for axonal growth, functional recovery, and neuropathic pain after spinal cord injury, a better understanding of which may elucidate the dynamic change of spinal cord injury-related molecules and facilitate the development of a new therapeutic strategy for spinal cord injury.

Objectives Predicting heave motion is helpful for improving the performance of the heave compensator and reducing the disturbance of waves on operating equipment. To improve the accuracy and stability of the heave prediction model, a real-time prediction method for ship heave motion is proposed in this paper.Methods Based on the Nonlinear Autoregressive with eXogeneous inputs (NARX) neural network, a single sea-state prediction model is established. The simulated heave motion of the vessel is obtained using the Marine Systems Simulator software tool to verify the model. The prediction model based on NARX is compared with prediction models based on Kalman and BP. On this basis, a multi sea-state prediction model is established by improving the single sea-state model.Results The prediction accuracy requirements of the multi sea-state prediction model are satisfied, and its stability is better than the single sea-state model, with a maximum prediction error of less than 10-4 magnitude in the range of sea state from 2 to 5.Conclusions The simulation results verify the good adaptability of the NARX neural network to the complex wave environment. Its prediction speed and accuracy are higher than the common back-propagation neural network and the traditional filtering method. It still maintains high prediction accuracy under high sea state.

Objective: This systematic review examined whether radiofrequency ablation (RFA) is a safe treatment modality for benign thyroid nodules (BTNs). Data Sources: PubMed, Embase, and the Cochrane Library database were searched for articles that (a) targeted human beings and (b) had a study population with BTNs that were confirmed by fine-needle aspiration cytology and/or core needle biopsy. Study Selection: Thirty-two studies relating to 3409 patients were included in this systematic review. Results: Based on literatures, no deaths were associated with the procedure, serious complications were rare, and RFA appears to be a safe and well-tolerated treatment modality. However, a broad spectrum of complications offers insights into some undesirable complications, such as track needle seeding and Horner syndrome. Conclusions: RFA appears to be a safe and well-tolerated treatment modality for BTNs. More research is needed to characterize the complications of RFA for thyroid nodules.

Objectives: This study aimed to translate the Vocal Fatigue Index (VFI) into Simplified Chinese and test its reliability and validity in mainland China. Methods: The original English version of the VFI was translated and adapted to a Simplified Chinese version (VFI -SC). Fifty-four participants with voice disorders and 21 healthy controls completed the VFI-SC. Sixteen participants with voice disorders completed it again two weeks later. Reliability, validity, and receiver operating characteristic (ROC) of the VFI-SC were analyzed. Results: The Cronbach's alpha values for the VFI factor scores were found to be 0.930 for tiredness and avoidance of voice use (factor 1), 0.878 for physical discomfort with voice use (factor 2), and 0.915 for improvement of symptoms with voice rest (factor 3). The test–retest reliability was 0.967 for all three factors. There was a significant difference between the total scores of the patient group and the control group (p < 0.01). Factor 1 and factor 2 were positively correlated with the Voice Handicap Index (VHI-30). The ROC curves showed acceptable intrinsic accuracies for factor 1 (AUC = 0.883), factor 2 (AUC = 0.901), and factor 3 (AUC = 0.800), with cutoff scores of 22, 7, and 9, respectively. Conclusions: This study provides preliminary evidence that the VFI-SC has good reliability and validity. It can be used to screen for clinical symptoms of voice fatigue in mainland China. [ABSTRACT FROM AUTHOR]

Aim: This study aimed to evaluate the correlation between the elasticity of the anterior and posterior walls of the radial artery in different sections using velocity vector imaging. Material and methods: In this retrospective analysis, 30 healthy people who underwent physical examination in our hospital from January 2022 to January 2023 were analyzed offline by velocity vector imaging technology. The following parameters were assessed: peak systolic strain (Ss; %), peak diastolic strain (Sd; %), peak systolic strain rate (SRs; 1/s), and peak diastolic strain rate (SRd; 1/s). Elastic function was evaluated by analyzing the systolic and diastolic motion of the arterial walls. Result: In the long-axis sections, there was a significant positive correlation between Ss, SRs, and SRd of both the anterior and posterior walls (r=0.531, r=0.803, and r=0.898, all p<0.01). Additionally, Sd showed a positive correlation (r=0.402, p<0.05). In the short-axis sections, there was a significant and positive correlation between SRs and SRd of both walls (r=0.762, r=0.667, both p<0.01). Furthermore, a positive correlation was found between SRd in the long-axis and short-axis sections of the anterior wall (r=0.382, p<0.05). Conclusions: Velocity vector imaging is a valuable tool for assessing the elasticity of the radial artery in different sections, and the longitudinal SRd in the long-axis section may serve as a highly sensitive and accurate parameter for assessing changes in wall elastic function during the occurrence of radial artery lesions. [ABSTRACT FROM AUTHOR]