Understanding the current status of Fast Healthcare Interoperability Resources (FHIR) applications in the real world would be beneficial for sports medicine research and rehabilitation studies. It would further promote the development of the athlete ecosystem. This paper examines the applications and research progress of the FHIR framework in the field of sports medicine applications at home and abroad in recent years, compares and analyzes the similarities and differences between CardinalKit FHIR and different frameworks, discusses the opportunities and challenges faced by FHIR currently, and constructs interoperable sports medicine applications using FHIR and CardinalKit FHIR. CardinalKit FHIR is a helpful framework for any developer wishing to build innovative medical solutions using FHIR. Developers can break down data silos, improve athlete injury care, enhance performance monitoring, simplify management tasks, and pave the way for the future of Internet medicine.

The present invention relates to an alarm method for recognizing gestures based on a camera, comprising: setting a gesture data set; establishing a frame by the camera to recognize the trend of human activities; recognizing human gestures by using a convolutional neural network; comparing a captured binary gesture image with a security gesture, and setting a counter parameter with a value of 1; if the gesture image is successfully compared with the security gesture, setting the value of the parameter to plus 1; if comparison between the gesture image and the security gesture fails, setting the value of the parameter to 0; and when the value of the parameter is greater than three, establishing a signal for the camera and the receiving device. The camera of the present invention uses the convolutional neural network to recognize human gesture, processes the human gesture and compares a gesture image with a security gesture. After the conditions are met, the position is sent to a receiving device of the police officer on duty to call the police in time, thereby reducing the frequency of crime. In the whole process, the camera is used for the capturing, and a person injured can effectively prevent more serious persecution without shouting.

According to the current general education program in Vietnam, in addition to the clear goal of program development, STEM education is specifically oriented to be applied at all levels of high school education to develop qualities and abilities. students have promoted interdisciplinary education in the fields of science, technology, engineering and mathematics. In addition, according to Official Dispatch No. 3089/BGDDT-GDTrH, dated August 14, 2020 of the Ministry of Education and Training on implementing STEM education in secondary education [5]. STEM education content is an educational method to equip students with scientific knowledge associated with their application in practice, thereby contributing to the formation of students' qualities and abilities. In particular, for the subject of Informatics and Technology, which converges all four elements of STEM education, the subject of Informatics and Technology plays a central role in connecting other subjects. In particular, designing STEM topics that integrate AI & IoT technology will help you understand real-world applications and understand the operating principles of control circuits, understanding automation to help monitor equipment well. more, career orientation and training creative thinking skills and capacity development for students. In particular, to achieve this content, the authors would like to sincerely thank Hung Vuong University, Phu Tho for creating conditions for the author to conduct research on this article under the topic code HV24.2023.

The scrapped mating ring of face seals has been studied and recycled into single point turning tools (SPTTs) and performed comparably with standard turning tools. Three sets of tools, namely, standard tungsten tool, strengthened and unstrengthened scrapped ring, have been studied and performed satisfactorily as SPTTs. Standard tungsten tool, strengthened and unstrengthened scrapped mating ring of face seal respectively. The tools were configured with a nose radius 2mm, positive rake angles of 3o, 5o and 8o and used to perform turning operations on mild carbon steel (CS1030) with surface roughness measured. The results showed that the strengthened tools generated the best surface finish for mild carbon steel among all three tools under consideration. The statistical analysis showed that surface finish, the model, cutting speed and feed rate are significant with their P-values < 0.0001 but the depth of cut, rake angle and tool have no significant impact on surface finish at 95% confidence level. This research will provide the machine tools shop with more durable SPTT and enhance reliability, quality, minimize downtimes and accidents in machining processes.

The impact of electromagnetic wave interference on electronic devices and the danger that can arise from it has become a problem that is being discussed at the international level. This paper discusses research on important and effective materials and compounds to be used for EMI shielding. In this paper, three basalt samples (A12, A14, and B12) have been selected and analyzed for reflection and absorption for RF and microwave frequencies.

Drilling is one of the most common and rudimental machining methods in the manufacturing industries for removal of unwanted material from the workpiece. How the cutting instrument and workpiece interact results in a mechanical force that causes the formation of chips during penetration, and these chips are evacuated through the flute created on the body of the drill tool. The interplay of forces at the drill point generates high temperatures, needed for the physical and chemical processes that weaken tools and lead to breakage. Optimal experimental designs are very important to obtain accurate optimization of engineering processes, an expert method was used to design the experimental layout and utilizing the Design Expert software, an experimental matrix which developed the parameters design of twenty experimental runs. The present study uses Artificial Neural Networks (ANN) and Response Surface Methodology (RSM) to forecast and optimize cutting forces during dry drilling operations. In developing the model, a dataset that included several factors such as depth of cut, feed rate, and cutting speed was used. The RSM model demonstrated a significant correlation between input parameters and cutting forces, as evidenced by its high coefficient of determination (R²) of 0.9493. On the other hand, the ANN model, which was trained using 70% of the data and validated using 15% of the data, showed a little lower R² value of 0.81434, but it was still able to make accurate predictions. Cutting forces were well predicted by both models, with RSM exhibiting a somewhat better performance in terms of accuracy. The results indicate that both RSM and ANN can be useful instruments for dry drilling cutting force optimization, offering insights for increased productivity and efficiency in machining operations.

In today’s digital era, avatars have metamorphosized their conventional role, emerging as important tools for safeguarding digital identities in response to the prevalence of facial recognition technology. This article-case study explores the expanding importance of avatars, not only as representations of identity but as protective shields in the digital space. Avatars, once confined to gaming and virtual worlds, now play a crucial role in digital identity formation across various fields. The case study on avatar generation in facial recognition technology with eKYC highlights sophisticated security measures, and fusion of facial recognition, eKYC, artrimetrics and avatar authentication signals a new era where avatars play a pivotal role in retail industry. This study anticipates the growing integration of avatars into our social existence, offering innovative solutions for identity management and security in the digital realm.

The paper presents the development and analysis of "Eventful," an innovative event management system designed to streamline the planning process and enhance the connection between event organizers (customers) and service providers (vendors). By integrating technology advancements from the late 20th century to the present, including the internet, social media, cloud computing, and artificial intelligence, "Eventful" offers a comprehensive solution to the challenges of event management. The platform allows for direct communication, efficient vendor selection, and centralized planning, aiming to improve the overall efficiency and experience of organizing events. The research methodology includes qualitative interviews and surveys to identify user requirements and inform system design, ensuring that "Eventful" addresses the specific needs of its users effectively.