Journals Published by Vilnius Tech
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    Rebuilding of destroyed historical quarters of Kyiv: a theoretical model

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    The article aims to study the destroyed historical quarters of Kyiv and form a theoretical model for their rebuilding. We identified the peculiarity of Kyiv’s historical quarters’ destruction, which, over the last three years of war, has undergone a layering of simultaneous one on the temporal, significantly intensifying the negative impact. It requires a more complex methodological intervention in their rebuilding, with the elimination of the consequences of simultaneous destruction and the causes and problems of temporal destruction at the same time. The studied quarters were classified, and the identified features help to understand their potential and form an individual intervention strategy, affecting the possibility of using specific methods and techniques in their rebuilding. The proposed theoretical model of rebuilding destroyed historical quarters of Kyiv is a tool for a holistic and comprehensive solution to the problem, shows the possibility and effectiveness of combinations of various restorative and reconstructive methods, supplemented by specific techniques for different systemic levels of intervention, which we recommende to use depending on the initial existing state of these quarters, the determined degrees of their destruction and historical-architectural value. The proposed concept for rebuilding the destroyed quarter in Kyiv’s Holosiivskyi district effectively illustrates its potential

    IOT-enabled framework for monitoring carbon emissions in the materialization phase of modular integrated construction

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    The potential of Modular Integrated Construction (MiC) to reduce carbon emissions (CEs) has led to increased attention on developing rigorous monitoring systems. Existing methods predominantly capture CEs of isolated MiC stages, overlooking nuances of arrangeable and reusable activities, thus hindering effective CE control measures. To overcome this limitation, this study develops an Internet of Things (IoT)-enabled framework for monitoring CEs of MiC, specifically focusing on the materialization phase, integrating across various MiC stages and facilitating detailed monitoring of CEs associated with arrangeable and reusable activities. This study builds up a CE measurement model tailored to the MiC materialization phase, providing a computational basis for a subsequent monitoring framework. By leveraging IoT technology, the framework is evaluated through case studies to confirm its feasibility and efficacy. The results indicate that the framework enabled improved monitoring capabilities, and the CEs of many MiC activities are successfully integrated into the system. The case study analysis demonstrates that the system\u27s feedback-driven adjustments achieved a CE reduction of 732.04 metric tons

    Independent and joint effects of carbon performance and family ownership on financial reporting quality

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    This study examines the individual and joint impact of carbon emission disclosure and family ownership on audit report lag using data from 124 non-financial firms listed on the Indonesia Stock Exchange (IDX) from 2017 to 2019. Findings show that greater carbon emission disclosure reduces audit report lag, leading to higher financial reporting quality. Conversely, family-controlled firms tend to have longer audit report lag, as external auditors perceive them as having higher audit risks. The interaction between carbon performance and family ownership also contributes to delays in audit reporting. Additionally, family members in supervisory roles lead to increased audit report timeliness, negatively impacting financial reporting quality. Next, the effects of carbon performance and family firms on audit report lag remain statistically significant for companies in high-profile industries. Furthermore, analysis of endogeneity confirms the credibility of the factors influencing audit report lag. The study highlights the importance of carbon disclosure in environmental and financial reporting, while family-owned businesses may struggle with audit deadlines due to their unique characteristics. Recognizing these obstacles can help auditors and regulators tailor their approaches when auditing family-owned enterprises to ensure timely reporting. This research contributes to the literature by exploring the relationship between carbon disclosure, family ownership, and audit report completion time, emphasizing the need to integrate environmental factors into financial reporting practices

    Numerical algorithms to solve inverse problems for parabolic equations

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    This paper presents and analyzes robust numerical algorithms for solving inverse problems for parabolic equations, specifically focusing on the determination of an unknown time-dependent source function from an integral flux condition. The study is motivated by mathematical models based on Navier-Stokes equations, particularly those exhibiting Poiseuille-type solutions. We employ a variational approach, formulating the inverse problem as the minimization of a Tikhonov regularization cost functional. Discrete approximation schemes are rigorously derived using finite volume methods in space and both backward Euler and Crank-Nicolson schemes in time. A key contribution of this work is the strict justification of the gradient formula for the cost functional by deriving the adjoint problem directly from the fully discrete scheme, rather than discretizing the continuous adjoint problem. This methodology is extended to problems involving fractional powers of elliptic operators and two-dimensional domains. Numerical experiments are conducted to compare the efficiency of Gradient Descent and Conjugate Gradient methods. The results demonstrate that the Conjugate Gradient method significantly outperforms standard gradient descent, maintaining high accuracy and convergence rates even with the inclusion of regularization terms and complex diffusion operators

    Digital banking through a gender lens: examining trust and perceptions of Neobanks

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    Purpose – the aim of study is to examine how interface design elements (usability, presentation, navigation) influence trust, behavioural intention, and adoption of Neobanks among younger users, using data from students at the University of Debrecen, Hungary. Research methodology – a modified Technology Acceptance Model (mTAM) was tested via Partial Least Squares Structural Equation Modelling (PLS-SEM) using primary survey data (n = 159, valid respondents under 25 years old) and quasi-exploratory analysis from Neobank users. Findings – perceived ease of usage significantly mediates the relationship between interface quality and behavioural intention. Trust significantly impacts attitudes and intentions toward fintech, with stronger effects observed among female users. These insights advance cognitive trust theory in digital banking contexts. Research limitations – limited sample diversity and local scope at the University of Debrecen constrain generalizability. The PLS-SEM method focuses on prediction over theory testing may oversimplify complex trust dynamics. Future studies should employ mixed methods and cross-cultural samples for broader relevance. Practical implications – Neobanks can enhance adoption by prioritizing intuitive interface design and tailoring trust-building strategies to gender-specific user preferences. Originality/Value – this research integrates gender differences into mTAM and offers novel insights into trust formation for digital banking among younger European university students, A departure from prior studies is focused solely on technical features

    Contemplative concordance with creativity

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    The paper takes cudgels against the view that contemplative practices are not conducive for creativity. Since contemplative practices often require discipline and controlling the tendency of mind to wander from one thought to another, the received wisdom often militates against giving any place for contemplative practices in nurturing creativity. At the same time there are studies indicating how practices such mindfulness enhance creativity. This paper argues that this paradox concerning the relationship between contemplative approaches and creativity can be resolved by looking into the role that open attention and passivity play in facilitating creativity. Engaging in non-judgmental open attention can be conducive for nurturing the beneficial aspects of mind wandering. The paper concludes by suggesting that making our attention more in the open, receptive mode can nurture, what is called, the creative mode of life

    Strategic housing satisfaction and preferences among U.S. military personnel: Evidence from Camp Humphreys, Korea

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    This study explores off-post housing preferences and satisfaction among U.S. military personnel and civilian employees stationed at Camp Humphreys in South Korea—the largest overseas U.S. military installation. Using the Importance–Performance Analysis framework, the research identifies key factors shaping residential experiences and strategic housing needs in host communities. While attributes such as English communication and clarity of lease agreement support resident satisfaction, unmet expectations regarding parking and shared facility management highlight critical service gaps. However, beyond individual preferences, the findings carry broader implications for real estate market responsiveness and urban policy. The structured nature of military housing allowances minimizes price sensitivity, suggesting that quality, service reliability, and cultural adaptability hold greater value for this tenant segment. These insights point to opportunities for local governments and developers to differentiate through certified multilingual real estate services and tailored infrastructure planning. By aligning investment strategies with the unique needs of foreign military populations, stakeholders can enhance property values, reduce tenant turnover, and foster community integration. The study contributes to the discourse on military housing policy and provides a model for optimizing real estate services in globalized urban contexts

    Determining safety-related critical success factors in petrochemical projects through an extensive fuzzy risk assessment approach

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    The construction phase of petrochemical units encounters many risks, a large number of which leads to death and disabling injuries. The purpose of this study is to provide a framework to determine safety-related critical success factors (CSFs) in petrochemical construction projects through risk assessment. The proposed approach involved two phases. At first, 15 potential risks were identified through a review of previous studies and interviews with experts. Then a combination of failure mode and effect analysis (FMEA), criteria importance through inter-criteria correlation (CRITIC) and technique for order preference by similarity to the ideal solution (TOPSIS) in a fuzzy environment was used for risk assessment, and the risks were classified based on their score. In Phase 2, safety-related CSFs were identified and ranked using the solutions provided for each risk and by consulting with experts. Results showed that falling from height and structural collapse due to excavation operations were the most and least important risks, respectively. Top management support was identified as the most important factor amongst the safety-related CSFs. The findings of this paper assist petrochemical construction project managers to adopt a structured approach for the risk assessment and determination of safety-related CSFs in their projects

    A second order method for a drug release process defined by a differential Maxwell-Wichert stress-strain relation

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    Polymeric drug delivery platforms offer promising capabilities for controlled drug release thanks to their ability to be custom-designed with specific properties. In this paper we present a model to simulate the complex interplay between solvent absorption, polymer swelling, drug release and stress development within these platforms. A system of nonlinear partial differential equations coupled with an ordinary differential equation is introduced to avoid drawbacks from other models found in the literature. These incorporated a memory effect but from a numerical standpoint, required storing all previous time steps, making them computationally expensive. This paper proposes a new numerical method to simulate such devices based on nonuniform grids and an implicit midpoint time discretization. Our main results are the second order convergence of the method for nonsmooth solutions and the scheme’s stability under the assumption of quasiuniform grids and a small enough timestep

    Generalized practical stability of Hopfield-type neural networks differential equations

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    This paper investigates the boundedness and practical stability properties of solutions for a class of neural differential equations inspired by Hopfield-type neural networks. Specifically, we develop a novel analytical framework that extends beyond traditional Lyapunov stability theory, Barbalat-type arguments, and fixed-point methods by relaxing common structural assumptions such as smoothness and global Lipschitz continuity. Our approach broadens the class of admissible systems to include nonlinearities with weaker growth conditions and time-varying perturbations that are not easily handled by classical techniques. Sufficient conditions are established to ensure the existence of a globally exponentially stable neighborhood of the origin, even in the presence of varying perturbation conditions. Furthermore, numerical examples are provided to demonstrate and validate the main result

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