RESUMEN

We report a rarely occurring hematologic neoplasm in a young adult. Hematologic neoplasms were first described in 2008 and are now included in both accepted tumor classification systems, i.e., International Consensus Classification and World Health Organization. This hematologic neoplasm shows a characteristic ALK positivity in immunohistochemical examination and correspondingly, ALK fusion genes in the molecular analysis. Pathologists should be aware of this entity, particularly as it is challenging to differentiate from other more frequent neoplasms of the same disease group or mesenchymal neoplasm with ALK aberration.

Asunto(s)

Osteólisis , Humanos , Diagnóstico Diferencial , Osteólisis/patología , Osteólisis/diagnóstico , Osteólisis/diagnóstico por imagen , Osteólisis/etiología , Neoplasias Mandibulares/patología , Neoplasias Mandibulares/diagnóstico , Neoplasias Mandibulares/genética , Masculino , Adulto , Quinasa de Linfoma Anaplásico/genética , Adulto Joven , Femenino

RESUMEN

As the use of construction robots continues to increase, ensuring safety and productivity while working alongside human workers becomes crucial. To prevent collisions, robots must recognize human behavior in close proximity. However, single, or RGB-depth cameras have limitations, such as detection failure, sensor malfunction, occlusions, unconstrained lighting, and motion blur. Therefore, this study proposes a multiple-camera approach for human activity recognition during human-robot collaborative activities in construction. The proposed approach employs a particle filter, to estimate the 3D human pose by fusing 2D joint locations extracted from multiple cameras and applies long short-term memory network (LSTM) to recognize ten activities associated with human and robot collaboration tasks in construction. The study compared the performance of human activity recognition models using one, two, three, and four cameras. Results showed that using multiple cameras enhances recognition performance, providing a more accurate and reliable means of identifying and differentiating between various activities. The results of this study are expected to contribute to the advancement of human activity recognition and utilization in human-robot collaboration in construction.

Asunto(s)

Robótica , Humanos , Robótica/métodos , Movimiento (Física) , Iluminación

RESUMEN

Conventional thermosetting composites exhibit advantageous mechanical properties owing to the use of an autoclave; however, their wide usage is limited by high production costs and long molding times. In contrast, the fabrication of thermoplastic composites involves out-of-autoclave processes that use press equipment. In particular, induction-heating molding facilitates a quicker thermal cycle, reduced processing time, and improved durability of the thermoplastic polymers; thus, the process cost and production time can be reduced. In this study, carbon fiber/polyphenylene sulfide thermoplastic composites were manufactured using induction-heating molding, and the relationships among the process, structure, and mechanical properties were investigated. The composites were characterized using optical and scanning electron microscopy, an ultrasonic C-scan, and X-ray computed tomography. In addition, the composites were subjected to flammability tests. This study provides novel insights into the optimization of thermoplastic composite manufacturing and thermoset composite curing processes.