Background: Technological developments have led to the creation of a mechanical device capable of providing a representative massage as a passive treatment. The use of mechanical massage offers the distinct advantage of being user-friendly and available for use at any given time. Objectives: To investigated present the outcomes of utilizing a massage bed on the range of motion (ROM) and pressure pain threshold (PPT) in patients diagnosed with chronic low back pain. Design: ABA design of a single case study. Methods: To measure the ROM of the subject's trunk flexion, extension, lateral flexion, and rotation, a tape measure and goniometer were utilized. Furthermore, PPT was measured using an electronic pressure pain meter. Baseline A and Baseline A’ periods were conducted for 5 consecutive days without intervention. Following the baseline periods, a massage bed intervention was administered for 1 hour daily for a total of 10 days during the Intervention B period. Daily assessments were performed, and the Intervention B period was conducted after the intervention. Results: The ROM effect was confirmed in trunk lateral flexion and rotation, while the PPT was effective in both L1, right L2, left L4, and left L5. Conclusion: The results of this study confirmed that the use of a massage bed improved the ROM and PPT in patients suffering from chronic back pain. Further randomized controlled trials involving a larger sample size are necessary to validate these findings.

The inclusion of conductive carbon materials into lithium-ion batteries (LIBs) is essential for constructing an electrical network of electrodes. Considering the demand for cells in electric vehicles (e.g., higher energy density and lower cell cost), the replacement of the currently used carbon black with carbon nanotubes (CNTs) seems inevitable. This review discusses how CNTs can contribute to the development of advanced LIBs for EVs. First, the reason for choosing CNTs as a conducting agent for the cathode is discussed in terms of energy density. Second, the reinforcing effect of CNTs on the anode is described with respect to the choice of silicon as the active material. Third, the development of water-based cathode fabrication as well as dry electrode fabrication with aid of CNTs is discussed. Fourth, three technical hurdles, that is, the price, dispersion issue, and entrapped metal impurities, for widespread use of CNTs in LIBs are discussed.

Recently, the development of computer vision with deep learning has made object detection using images applicable to diverse fields, such as medical care, manufacturing, and transportation. The manufacturing industry is saving time and money by applying computer vision technology to detect defects or issues that may occur during the manufacturing and inspection process. Annotations of collected images and their location information are required for computer vision technology. However, manually labeling large amounts of images is time-consuming, expensive, and can vary among workers, which may affect annotation quality and cause inaccurate performance. This paper proposes a process that can automatically collect annotations and location information for images using eXplainable AI, without manual annotation. If applied to the manufacturing industry, this process is thought to save the time and cost required for image annotation collection and collect relatively high-quality annotation information.