This study investigates how friction modeling reduces wear and improves operational efficiency in
automotive, aerospace, and energy systems by optimizing bearing lubrication. It emphasizes advancements in
lubrication strategies, including theoretical frameworks, textured surface engineering, and additive technologies.
While current dynamic and multi-field coupling models have limitations, developing advanced computational
methods is critical to enhancing predictive accuracy for real-world lubrication performance, ultimately
supporting the durability and reliability of mechanical systems.

The paper briefly demonstrates the method of calculating loop integrals of quantum
electrodynamics using the example of a one-loop diagram of an electron line. It is shown that the
procedure of Feynman parameterization with subsequent dimensional regularization can be used for such
calculations.

This mini-review explores the impact of technology on the advancement of the medical field, highlighting
key innovations such as telemedicine, artificial intelligence, wearable devices, and the Internet of Things. These
technologies enhance patient care by improving accessibility, accuracy, and engagement. Despite their benefits,
challenges like data privacy and the digital divide require attention to ensure equitable access to healthcare.
Ongoing investment and collaboration are essential for realizing the full potential of these advancements.

The integration of artificial intelligence (AI) into project management processes has seen significant
advancements, offering new opportunities to enhance efficiency, decision-making, and operational productivity in the
IT sector. This study focuses on the dynamics of human-AI collaboration to achieve optimal integration between human
skills and AI capabilities, while analyzing socio-technical factors such as trust, communication, role division, and
organizational culture. The study aims to identify best practices and develop a framework to enable this integration,
providing practical insights for project managers, AI developers, and organizations seeking to effectively leverage AI
tools.