Background: Most of the cars are imported as cargo vehicles and then converted into commercial passenger vehicles in Ethiopia. Seats are locally manufactured and installed as part of the conversion to passenger cars, with little regard permitted for the standard specifications required.
Objective: A descriptive survey, an ergonomics assessment of passenger seats was conducted, and subjective evaluations of seat comfort were collected.
Methods And Materials: For long journeys, there are problems of discomfort, back pain, and human fatigue. Anthropometric measurements of respondents and locally manufactured seats were used to conduct an objective evaluation of seat attributes.
Results: The findings revealed that the passengers' body proportions and the seat dimensions differ significantly and are not given any preference during design and fabrication of the seat.
Conclusion: This study recommends the anthropometric dimensions of the Ethiopian passengers for the design and manufacturing of the vehicle seats.
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http://dx.doi.org/10.4103/ijoem.ijoem_323_22 | DOI Listing |
ACS Nano
January 2025
Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou 215123, P. R. China.
Knowledge of localized strain at the micrometer scale is essential for tailoring the electrical and mechanical properties of ongoing thinning of crystal silicon (c-Si) solar cells. Thinning c-Si wafers below 110 m are susceptible to cracking in manufacturing due to the nonuniform stress distribution at a micrometer region, necessitating a rigorous technique to reveal the localized stress distribution correlating with its device electrical output. In this context, a Raman microscopy integrated with a photovoltage mapping setup with high resolution to the submicrometer scale is developed to acquire correlative Raman-voltage of the localized physical properties at the microcracks on the rear side of c-Si solar cells.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Computer Science, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.
The safety and efficiency of assembly lines are critical to manufacturing, but human supervisors cannot oversee all activities simultaneously. This study addresses this challenge by performing a comparative study to construct an initial real-time, semi-supervised temporal action recognition setup for monitoring worker actions on assembly lines. Various feature extractors and localization models were benchmarked using a new assembly dataset, with the I3D model achieving an average mAP@IoU=0.
View Article and Find Full Text PDFCurr Issues Mol Biol
January 2025
COSLINK, Songpa-gu, Seoul 05819, Republic of Korea.
Polydeoxyribonucleotide (PDRN) has emerged as a potent bioactive compound with proven efficacy in wound healing, tissue regeneration, and anti-inflammatory applications and is predominantly derived from salmonid gonads. However, this study presents a groundbreaking advancement by successfully extracting and characterizing PDRN from microbial sources, specifically , marking the first report to utilize microbial-, biome-, or -derived PDRN (L-PDRN). The findings demonstrate the enhanced biological properties of L-PDRN over traditional salmon-derived PDRN across several assays.
View Article and Find Full Text PDFBiomimetics (Basel)
January 2025
Laboratory for Robot Mobility Localization and Scene Deep Learning Technology, Guizhou Equipment Manufacturing Polytechnic, Guiyang 550025, China.
In recent years, unmanned aerial vehicle (UAV) technology has advanced significantly, enabling its widespread use in critical applications such as surveillance, search and rescue, and environmental monitoring. However, planning reliable, safe, and economical paths for UAVs in real-world environments remains a significant challenge. In this paper, we propose a multi-strategy improved red-tailed hawk (IRTH) algorithm for UAV path planning in real environments.
View Article and Find Full Text PDFBiomimetics (Basel)
January 2025
Department of Mechanical Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, Republic of Korea.
This research focuses on the design of a three-finger adaptive gripper using additive manufacturing and electromechanical actuators, with the purpose of providing a low-cost, efficient, and reliable solution for easy integration with any robot arm for industrial and research purposes. During the development phase, 3D printing materials were employed in the gripper's design, with Polylactic Acid (PLA) filament used for the rigid mechanical components and Thermoplastic Polyurethane (TPU) for the flexible membranes that distribute pressure to the resistive force sensors. Stress analysis and simulations were conducted to evaluate the performance of the components under load and to gradually refine the design of the adaptive gripper.
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