Georgian Technical University

This paper analyzes the impact of artificial intelligence (AI) on public administration systems at the doctoral level. It examines how AI is transforming contemporary public administration theory and practice, particularly in the context of digital governance (e-governance). The paper describes the positive changes introduced by AI in public administration including improved decision support, process automation, and more efficient citizen service delivery while also highlighting negative aspects and key challenges such as ethical risks, data privacy concerns, and gaps in the regulatory framework. International examples (e.g., Estonia’s achievements in digital governance and the large-scale adoption of AI in U.S. federal agencies) and recent statistical evidence are used to illustrate that government institutions worldwide are actively applying AI to enhance public services (oecd.org; gov.appmaisters.com). However, the study demonstrates that fully realizing AI’s transformative potential still requires caution and careful planning; effective legal and ethical frameworks are essential for the responsible use of AI (admin.vectors.ge). In the conclusion, the paper summarizes the main findings and offers recommendations: developing well-designed regulations and oversight mechanisms, training public servants, and strengthening infrastructure so that AI can be fully leveraged to improve public administration while reducing potential risks.

This paper examines personnel motivation as one of the key determinants of organizational effectiveness. The study is grounded in classical and contemporary management theories and focuses on their application within real organizational settings. The analysis highlights that employee motivation cannot be reduced to isolated managerial actions or purely financial incentives, but should be understood as a complex and continuous process embedded in organizational structures, culture, and everyday practices. The paper explores the role of motivation through several interrelated dimensions, including incentives, personal recognition, status, teamwork, organizational culture, and social protection mechanisms. Particular attention is given to practical recommendations, which form the core of the study. These recommendations emphasize fair compensation systems, appropriate task allocation, employee involvement in decision-making, opportunities for professional development, supportive working environments, and transparent communication. The findings indicate that sustainable motivation emerges when material and non-material factors are coherently integrated. Strong teamwork, trust-based leadership, and a supportive organizational culture significantly enhance employee engagement and responsibility. Furthermore, social protection mechanisms contribute to a sense of security, which strengthens long-term commitment and organizational stability. Overall, the study demonstrates that personnel motivation is not a one-time managerial intervention but an ongoing strategic process that directly influences organizational performance and sustainable development.

Energy consumption and microclimate instability remain critical challenges in modern greenhouse agriculture, particularly under conditions of rising energy costs and increasing climate variability. Efficient regulation of temperature, humidity, lighting, and irrigation is essential for maintaining high crop productivity while minimizing resource losses. This study proposes an automated, energy-efficient greenhouse management system designed to optimize environmental control processes through continuous monitoring and intelligent regulation. The developed system combines sensor-based data acquisition with centralized control strategies to manage heating, ventilation, lighting, and irrigation in an integrated manner. A key innovation of the  research is the application of a soil-assisted air circulation approach for humidity control, which enables moisture removal through condensation while simultaneously contributing to soil water balance. Experimental validation confirms that this approach enhances humidity stabilization and reduces the overall energy demand of greenhouse operation. The research methodology involves system design, algorithm development for automated control, and experimental testing under real greenhouse conditions. Performance evaluation focuses on energy efficiency, environmental stability, and the operational reliability of the proposed solution. The results demonstrate that intelligent automation significantly improves microclimate regulation and resource utilization compared to conventional greenhouse management practices. This study contributes to the advancement of sustainable greenhouse technologies by presenting a practical and scalable management framework that supports energy-efficient agricultural production. The proposed system has strong potential for application in modern greenhouse enterprises, educational initiatives, and national strategies aimed at improving resource efficiency and agricultural resilience.

The following research covers optimal solutions for design of connection joints in metal structures based on digital modeling and 3d scanning devices. The paper discusses the properties of metal as a building material, welds and bolted joints, where to use the FEM finite element method in practical application, as well as the stages of CAD computer modeling. Computer aided design covers the development of geometric shapes in a digital format. The structural model is designed using a portable laser scanning device. One of the joints is selected and a unit of force as a load is applied. The finite element method is the most common tool for solving engineering problems. Problems may concern structural loads, temperature transfer, fluid flow or electromagnetic potential. To solve given issues, finite element analysis involves transforming a large complex system into smaller elements. While it is easier to solve a small element using given variables, it can be solved for a large system.

This study primarily investigates the effect of pile length on the settlement and internal forces of a piled raft foundation, as well as the influence of raft-to-soil contact. The analysis was performed under both static and dynamic loading conditions. The modeling parameters included a fixed pile diameter (D = 0.5 m) and a constant pile spacing (S_p = 4.5D). The pile length was varied (Lp = 28D, 32D, 36D, and 40D). The raft dimensions were 10x10 m with a thickness of 1.00 m. The subsurface conditions were modeled based on a soil profile consisting of six layers: silty sand with traces of clay, silty sand, medium stiff clay, and dense sand. The soil mass was simulated using a semi-infinite element. The analysis was conducted using the finite element software package PLAXIS 3D version 2013, a code for soil and rock analysis. The software was used to determine the bending moment, shear force in the raft, and the settlement magnitude.

The article presents an improved approach to thermodynamic modelling and early, preventive prediction of spinodal decomposition processes with phase delamination of irregular three-component α - solid solutions into separate equilibrium, immiscible phases. Using the obtained model, it is possible to analytically predict the critical concentration-temperature conditions under which the noted phase segregation can be induced, contributing to the premature aging of metallic materials and reducing the operational reliability of machine parts made from them. Consequently, the proposed approach will allow in advance, even at the stage of development of the alloy, to eliminate the risk associated with its structural-phase decay during the operation of the product made from it. The results of calculations obtained on a widely used model alloy of the Fe-Cr-C system are presented. It has been established that the spinodal decomposition of the noted three-component stainless heat-resistant solid solution can lead to concentration stratification into the following three equilibrium phases, with the content of elements in molar parts: 1) Fe=0.14, Cr=0.29, C=0.57; 2) Fe=0.53, Cr=0.29, C=0.18; 3) Fe=0.14, Cr=0.68, C=0.18. Such phase segregation can be initiated in a solid solution with an initial content of these elements of 0.72, 0.25, and 0.03 mol, in the case of its rapid forced cooling to a critical temperature of 342 K for this system, since this leads to the maximization of free energy and transfers it in a thermodynamically non-equilibrium state. As a preventive measure to avoid the process of spinodal decomposition, seeking to zeroing the free energy of the system by its concentrative enriched or depleted delamination and, consequently, microstructural embrittlement, it is recommended to technologically exclude the probability of producing and operating an alloy with a predetermined non-equilibrium chemical composition and critical extent of forced cooling.