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Laser cladding uses a high-energy laser beam as a heat source to rapidly melt and solidify the cladding material onto the substrate to form a high-performance coating. This technology provides an efficient and economical method to repair and remanufacture precision equipment such as engines and spacecraft. However, the inherent non-equilibrium solidification properties of laser cladding often lead to problems such as coating anisotropy, high porosity, and elemental segregation. Optimizing process parameters and heat treatment do not always eliminate these defects. Therefore, it is necessary to seek a more appropriate solution. Introducing laser remelting on the surface or between the layers of the coating to cause it to remelt and redistribute can refine the grain size, reduce defects, and improve the uniformity of the composition, thus enhancing the performance of the coating. This paper reviews and summarizes the application and development status of laser remelting technology in laser cladding and discusses it in terms of surface quality, hardness, wear resistance, and corrosion resistance of the coating. It also identifies the potential of external field-assisted laser remelting technology in further optimizing coating performance. Finally, based on the review, suggestions are provided for selecting remelting parameters. [ABSTRACT FROM AUTHOR]

Laser cladding technology is widely used in component repair and surface strengthening because of its advantages of various powder options and high processing efficiency. This paper outlines the application and research of transition layers in laser cladding and details the advantages of transition layers in terms of bonding performance, defect rate, and cladding thickness. Compared with conventional laser cladding, the composite process with the addition of transition layer has been further improved in terms of organization, mechanical properties, and corrosion resistance. In addition, the repair process of laser cladding to meet the cladding thickness of the parts and avoid the degradation of surface properties is also discussed. [ABSTRACT FROM AUTHOR]

This report details a case of axillary artery pseudoaneurysm with concurrent distal thrombosis, manifesting as acute upper extremity ischemia. The condition was successfully treated with a hybrid surgical approach, employing a covered stent graft and Fogarty balloon thrombectomy. We review the relevant literature on the management of this rare but critical vascular condition. [ABSTRACT FROM AUTHOR]

Hibernoma is a benign soft tissue tumor; it is extremely low in incidence, slow-growing and painless and is often mistaken for lipoma or liposarcoma. Diagnosis requires imaging and pathological analysis. Complete resection is the treatment of choice. We analyzed a case of lipoma from imaging and pathology perspectives and reviewed the relevant literature. [ABSTRACT FROM AUTHOR]

Person-following is a crucial capability for service robots, and the employment of vision technology is a leading trend in building environmental understanding. While most existing methodologies rely on a tracking-by-detection strategy, which necessitates extensive datasets for training and yet remains susceptible to environmental noise, we propose a novel approach: real-time tracking-by-segmentation with a future motion estimation framework. This framework facilitates pixel-level tracking of a target individual and predicts their future motion. Our strategy leverages a single-shot segmentation tracking neural network for precise foreground segmentation to track the target, overcoming the limitations of using a rectangular region of interest (ROI). Here we clarify that, while the ROI provides a broad context, the segmentation within this bounding box offers a detailed and more accurate position of the human subject. To further improve our approach, a classification-lock pre-trained layer is utilized to form a constraint that curbs feature outliers originating from the person being tracked. A discriminative correlation filter estimates the potential target region in the scene to prevent foreground misrecognition, while a motion estimation neural network anticipates the target's future motion for use in the control module. We validated our proposed methodology using the VOT, LaSot, YouTube-VOS, and Davis tracking datasets, demonstrating its effectiveness. Notably, our framework supports long-term person-following tasks in indoor environments, showing promise for practical implementation in service robots., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Jiang, Cui, Wei, Fu, Hong and Feng.)

Objective: To ensure the supply of prevention materials in the tertiary public hospitals in prefecturelevel cities, and to make the process of allocating prevention materials more scientific and reasonable., Methods: Open the green passage, simplify the procurement process, carry out emergency procurement of related materials, ensure timely delivery of prevention materials, distribute them at different levels, and strengthen the warehouse management of prevention materials., Results: The scheme of emergancy supplies was constantly improved, and the supply of prevention materials was completed with good quality., Conclusions: Using scientific and efficient management methods, the supply of prevention materials in medical institutions has been guaranteed, which has experience and reference significance for the prevention and control of similar public health emergencies in the future.

Background: Depression is a chronic, recurring and potentially life-threatening illness. Current treatments for depression are characterized by a low success rate and associated with a wide variety of side effects. The aim of the present study was to evaluate the behavioral anti-depressant effect of a novel herbal compounds named ziziphi spinosae lily powder suspension, as well as to investigate its potential mechanisms., Methods: Except for body weight, depressive-like behaviors were also evaluated using forced swimming test, sucrose consumption test and open field test. In order to investigate the underlying potential mechanisms, serum 5-HT and brain 5-HIAA were measured using ultrahigh-performance liquid chromatography and high-performance liquid chromatography, respectively., Results: Results showed that the herbal compounds ziziphi spinosae lily suspension could alleviate depressive symptoms in rat model of chronic depression. Biochemical analysis revealed that the herbal compounds elevated serum 5-HT and brain 5-HIAA., Conclusion: Ziziphi spinosae lily powder suspension could alleviate depressive behaviors in depression model animals. The underlying mechanisms may be related to the increase of serum 5-HT in peripheral blood and 5-HIAA in brain. The study provides important mechanistic insights into the protective effect of the herbal compounds against chronic depressive disorder and suggests that the herbal compounds may be a potential pharmacological agent for treatment of major depressive disorder.