Search

Implant infection is one of the most common and serious complications in orthopedics, and it is also an important reason for the failure of implant surgery. When bacteria form a biofilm on the implant surface, it is extremely difficult to be eliminated and attracts more bacteria and fungi. A large number of studies have shown that the use of surface modification technology can effectively reduce the adhesion and accumulation of pathogenic bacteria, thereby preventing peri-implant infection. The formation process of bacterial biofilm on the surface of orthopedic implants and the antibacterial mechanism of metal antibacterial agents were first analyzed. Then, some of the most widely used metal-based inorganic antibacterial coatings at home and abroad and their related preparation processes were reviewed, the problems and improvement methods in the application of these coatings were also discussed, and the development direction of inorganic antibacterial coatings in the future was prospected, such as synergistic antibacterial coatings and bone-promoting antibacterial coatings.

Safety production is an important way to ensure the personal safety of workers and the safety of national property. This project focuses on addressing the safety generation problem in the power marketing profession, designing a set of intelligent dynamic warning systems for power marketing operations. MobileNetV1 is used as the backbone feature extraction network of SSD to create a lightweight target detection network, and it is combined with OpenVINO and NCS2 neural computation bars to construct an image analysis and dynamic warning model for power operation based on the SSD MobileNetV1 algorithm. We use the images of power marketing operation sites in a city as a dataset to test and compare the constructed model with other target detection algorithms, analyzing its dynamic warning effect on power operations and exploring the effectiveness of the model’s practical application. The results show that the SSD network model can significantly improve the detection efficiency and accuracy of the dynamic early warning system for electric power operations, and its accuracy is 15.15% and 18.82% higher than that of the Faster⁃RCNN algorithm and the YOLO algorithm, respectively. The early warning system reduced the irregular behavior of electric power marketing operations by 135.71%, demonstrating the effectiveness of the SSD model in detecting and warning electric power targets. This model not only meets practical requirements but also effectively reduces the irregular production behaviors of electric power marketing operations, thereby enhancing the safety coefficient of marketing field operations.

C19H16Br4CuN2O2: monoclinic, P21/c (no. 14), a = 10.2649(3) Å, b = 10.1903(3) Å, c = 21.2494(6) Å, β = 100.522(1)°, V = 2185.36(11) Å3, Z = 4, wR 2 = 0.0730, T = 169.0 K.

C19H18Cl2CuN2O2, monoclinic, space group C2/c (no. 15), a = 21.010(3) Å, b = 11.3886(15) Å, c = 7.9578(10) Å, β = 100.725(4)°, V = 1870.8(4) Å3, Z = 4, wR 2 = 0.1620, T = 170.0 K.

Background: The integration of Virtual Reality (VR) with Case-Based Learning (CBL) has the potential to revolutionise undergraduate medical education, particularly in complex subjects such as the anatomy and rehabilitation of the shoulder joint. This study aimed to explore the effectiveness of this innovative approach in enhancing learning outcomes and knowledge retention. Methods: This study employed a parallel-group, assessor-blinded randomised controlled trial (RCT) design. A comprehensive five-week educational programme was developed, combining traditional lecture-based learning with VR-enhanced CBL. The study involved 82 undergraduate students from China Medical University, who were divided into groups receiving different combinations of VR and CBL. Student performance was evaluated through tests and questionnaires. Results: In the anatomy-related courses, the integration of VR technology with CBL yielded significantly higher results (87.71 ± 5.60) compared to traditional methods (82.59 ± 6.64), with a statistically significant difference (P < 0.05). This provides compelling evidence of VR's potential to enhance student engagement and knowledge retention. In the context of physiotherapy-related courses, however, while the test scores of the VR-combined CBL group (81.85 ± 5.99) were marginally higher than those of the traditional CBL group (79.02 ± 7.57), this difference was not statistically significant (P > 0.05). Conclusion: The present study provides preliminary evidence for the benefits of incorporating VR into medical education, particularly in anatomy. While the results are promising, further research is needed to explore the optimal integration of VR and CBL in rehabilitation studies and to assess their long-term impact on student learning and clinical performance. Trial registration: The study was registered with Chinese Clinical Trials Registry (Registration Number: ChiCTR2400089295) on 05/09/2024. [ABSTRACT FROM AUTHOR]

The distinctive pharmacological characteristics of Chinese medicinal herbs are rendering them increasingly popular as functional foods. However, fresh herbs are prone to mold and decay. Currently, drying processing is primarily employed to extend the storage time and effectively preserve the bioactive constituents of these herbs. After examining of the recent literatures on drying Chinese medicinal herbs, this paper provides a comprehensive overview of various drying technologies, including shade drying, hot air drying, solar drying, heat pump drying, microwave drying, far-infrared drying, vacuum drying, vacuum freeze drying, radio frequency drying, high voltage electric field drying and some combined techniques. While, an extensive illustration for each drying method principles, advantages/disadvantages, potential improvements and deep investigation of its energetic performance and the influence on the main active components in the drying process, such as polysaccharides, polyphenols, flavonoids, saponins, volatile oils, were summarized. The results showed that the combined drying technology not only had high efficiency and low energy consumption, but also preserved the bioactive medicinal components and sensory quality at the best. This paper provides a theoretical foundation and vast technical support for enhancing the value of Chinese medicinal herbs utilization and drying industry. [ABSTRACT FROM AUTHOR]