Carried out were real studies of actual loads on the span structures of the ore bridge loading cranes. Combining the load histograms with the influence lines made it possible to obtain spectrograms of changes in internal strength factors for the rods of the grate and travelling girders of box steel structures of iron ore bridge loading cranes in A7-A8 operating modes. A probabilistic approach to assessing the load on steel structure elements of heavy cranes has been proposed.
Keywords: ore bridge loading cranes, load histograms.

This paper applies the Grey Relational Analysis method from Grey System Theory, using grey relational degree as the measurement indicator, to analyze the factors affecting the number of scientific research achievements in Tai'an City. It identifies that the dominant factors influencing the number of scientific research achievements in Tai'an City are R&D funding input and the number of scientific research personnel. Meanwhile, from an empirical perspective, it reveals the degree of correlation between the number of scientific research achievements and each influencing factor, and puts forward suggestions for increasing the number of scientific research achievements in Tai'an City.
Keywords: Number of Scientific Research Achievements; Grey Relational Degree; Influencing Factors; R&D Funding Input; Number of Scientific Research Personnel.

The rapid advancements in Artificial Intelligence (AI) and natural language processing (NLP) have ushered in a new era for healthcare, profoundly impacting patient care delivery. Virtual Health Assistants (VHAs) and chatbots, powered by these technologies, are increasingly being integrated into various aspects of healthcare, from routine administrative tasks to complex patient support and education. This paper explores the burgeoning role of VHAs and chatbots in patient care, examining their key applications, significant benefits, inherent challenges, and future trajectories. Drawing on recent literature, it highlights how these digital tools are enhancing accessibility, personalizing care, and improving efficiency, while also addressing critical concerns regarding accuracy, data privacy, and the indispensable human element in healthcare.
Keywords: Virtual Health Assistant, Chatbots, Artificial Intelligence, Patient Care, Digital Health, Remote Monitoring, Mental Health, Medication Adherence, Symptom Checker.