MoszhilNIIproekt

Background: The prospect of Artificial Intelligence (AI) implementation in the healthcare field will revolutionize clinical decision-making and nursing practice. Nevertheless, senior nurses tend to have some reservations toward AI-based Clinical Decision Support Systems (AI-CDSS), especially on the issues of professional autonomy, workload, and even ethics. Purpose: it was to understand the issues and possibilities of introducing AI-based devices to experienced nursing personnel, their attitudes, obstacles, and possible ways of sustainable implementation. Methodology: A narrative review of PubMed, Scopus, CINAHL, and Web of Science (2018–2025) was conducted; eligible full texts were screened and thematically synthesized from 18 included studies. Results: The key obstacles to AI implementation were found to be more cultural and psychological than technical for decision makers. Nurses raised worries regarding the loss of expertise, risk to autonomy, and automation bias. A training co-pilot- a specialist mediating between advanced technology and clinical reality- was needed in the process of effective integration. Strategic imperatives like explainable AI, ethical sensitization, workload alignment, and institutional transparency became essential success factors. Conclusion: The paper highlights how effective AI implementation needs more than just technical implementation; it would need cultural adjustment, institutional openness, and training on specific skills designed to fit experienced personnel. To provide safe and sustainable integration of AI into nursing, it is necessary to create nurse informaticists as co-pilots and introduce ethical, transparent, and explainable practices.

We propose a floatable flood-resistant house that is resistant to flooding up to a depth of 5 m. It includes foundation, water supply and drainage pipes that enable smooth ascent, and mooring devices that prevent the loss of the house and slippage during landing. We also propose a draft calculation method to check the ascent balance. These measures and calculation methods were demonstrated in the inundation test of the full-scale test building. It was shown that it is possible to remove foreign drifting objects under the house after landing and to pull it back to its original position.

The results of experimental and theoretical research in work features of a rammed pyramidal pile with compacted bottom for horizontal load in clayey soils are presented. The experimental cast-in situ pyramidal piles with compacted bottom were made at 2 experimental sites, composed of clayey soils. Static horizontal load tests were carried out. At each stage of loading, horizontal displacements were measured at the load application level and at a height of one meter from the top edge of the pile. The “horizontal load - pile head displacement” dependencies were obtained. It was found that the rotation of the pile in the soil occurs without bending, i.e. according to a rigid scheme, and also that compacted bottom prevents horizontal displacement of the pile bottom. Based on the analysis of the results of static tests of piles, a design scheme has been created, in which the pile is considered as a rigid rod buried in a multilayer linearly deformable base with a point of zero displacements at the lower end of the pile. In accordance with the design scheme, an analytical method for calculating a pyramidal pile with compacted bottom for horizontal load and bending moment has been developed. The calculation method allows to determine the horizontal displacement of the pile head in any section along the depth, the angle of rotation of the pile, bending moment and shear force along the length of the pile.

The paper presents the results of investigation of pile strip footing behavior over a karst sinkhole. Analytical decisions based on the adapted contact model of pile-subsoil interaction were obtained to evaluate the pile stiffness coefficient and maximal loads acting on the piles.