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Found 6289 publications
Compensation of inharmonicity of piano strings with added masses
Publication Name: Journal of Physics Conference Series
Publication Date: 2026-01-01
Volume: 3190
Issue: 1
Page Range: Unknown
Description:
Bass strings of piano consists of a core string and a wire wound around the core. Although this construction is essential for creating strings with low frequency in the presence of moderate tension force, the increased bending stiffness shifts the overtones of the strings. This inharmonicity is more significant for upright pianos with shorter string lengths. In the literature, we can find conceptual ideas for compensation of this effect that is considered acoustically unpleasant. In the present research, we analyse the effect of adding concentrated masses to reduce the amount of inharmonicity. We focus on improvements in the acoustically most significant overtones. The proper parameters are found by using both a finite-element method and experiments.
Open Access: Yes
AI-DRIVEN PUBLIC ADMINISTRATION: EXPERT INSIGHTS ON ADOPTION AND IMPLEMENTATION
Publication Name: Economics and Sociology
Publication Date: 2026-01-01
Volume: 19
Issue: 1
Page Range: 172-194
Description:
Artificial intelligence (AI) is increasingly transforming public administration, yet empirical evidence from developing countries remains limited. This study explores the current use, key challenges, and enabling conditions of AI adoption in Kazakhstan’s public administration system. The study employs an exploratory qualitative design based on semi-structured interviews with 20 experts from government, academia, and related professional domains. The data were analyzed using thematic analysis in ATLAS.ti to identify key themes. The findings show that AI adoption is in a transitional stage, supported by strong government initiatives and shifting from digitalization to its use in decision support and predictive analytics for more proactive public services. While a number of pilot projects and practical applications are already in place, broader adoption remains constrained by interrelated barriers, including data limitations, skills gaps, infrastructural constraints, and regulatory uncertainty. The results also identify a corresponding set of enabling conditions, such as institutional support, human capital development, data governance improvements, and cross-sector collaboration, which can facilitate further progress. By linking systemic barriers with corresponding enabling conditions, the study clarifies how AI adoption unfolds in practice and identifies actionable directions for policy and implementation.
Open Access: Yes
Numerical Determination of Contact Radii in Rail-Wheel Contact
Publication Name: Lecture Notes in Networks and Systems
Publication Date: 2026-01-01
Volume: 1768 LNNS
Issue: Unknown
Page Range: 55-65
Description:
In this paper, the authors present a method for determining the contact radii required to calculate contact stresses, even for distorted rail-wheel contact geometries. This deformation is most often caused by wear between the wheel and rail. In the method used, the authors employ numerical differentiation to derive the required radius values from the data of discrete points defined in the Cartesian x-y coordinate system. The authors validate the applicability of their method on a rail head of 60E1 geometry without wear. A further objective of research is to validate the method for worn geometries. The presented method will help experts obtain a more accurate view of the magnitude of contact stresses, as the formulas used in everyday practice are often significantly incorrect, to the detriment of safety. Thus, by going beyond methods that use a single radius value, they also demonstrate that the calculation of accurate values requires knowledge of four radius values, two of which can be determined effectively using the presented methodology.
Open Access: Yes
Understanding and analyzing the effect of residual stresses in direct metal laser sintering through optical deformation measurement
Publication Name: Progress in Additive Manufacturing
Publication Date: 2026-01-01
Volume: 11
Issue: 1
Page Range: 687-699
Description:
Residual stresses are one of the main challenges in metal additive manufacturing, particularly in direct metal laser sintering (DMLS). These stresses often lead to deformation once parts are removed from the build plate. In this study, we investigated the causal relationship between internal stresses and deformation behavior using a specially designed twin-cantilever geometry. This setup allowed parallel evaluation of different stress-relief treatments on a single component while minimizing cross-effects. High-precision optical 3D scanning was used to measure full-surface deformations before and after support removal and stress-relief heat treatment. The 1.2709 maraging steel (X3NiCoMoTi18-9-5) specimens were produced using a DMLS process with standard parameters, and stress-relief annealing was performed at 600 °C for 24 h. Results show that the heat treatment significantly reduced distortion on the supported side of the parts, with changes under 5%, while unsupported regions showed increased deformation, exceeding 60% in some cases. This indicates that internal stresses remain largely intact during heating and can further distort softened material if not mechanically constrained. The study confirms the critical role of constraint during heat treatment and demonstrates that optical metrology offers a reliable method to evaluate deformation trends. The results provide important insights into stress management strategies for DMLS parts and highlight the limitations of thermal relief in unconstrained geometries.
Open Access: Yes
Angustopila milium (Gastropoda: Hypselostomatidae) is one of the most widespread land snail species in South and Southeast Asia, due to its conspecificity with A. elevata, syn. nov.
Publication Name: Zoosystematica Rossica
Publication Date: 2026-01-01
Volume: 35
Issue: 1
Page Range: 57-67
Description:
Angustopila elevata (Thompson et Upatham, 1997) was originally described from northern Thailand. It is the most widespread species within the genus Angustopila Jochum, Slapnik et Páll-Gergely, 2014, as revealed by a recent revision. The distribution of this species extends from southern Thailand through northern Laos and northern Vietnam to the Guangxi Zhuang Autonomous Region in Southern China. Based on shells recently collected in India, conspecificity was established between A. milium (Benson, 1853) and A. elevata, syn. nov. Furthermore, A. milium is reported from Nepal for the first time. Angustopila milium thus becomes the most widespread species of this genus and one of the most widely distributed land-snail species in South and Southeast Asia.
Open Access: Yes
Innovative pathways to sustainable community development through youth entrepreneurship
Publication Name: Asian Education and Development Studies
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: 1-24
Description:
Purpose – Sustainable entrepreneurship (SE) is gaining momentum as an innovative pathway for tackling global environmental challenges and fostering sustainable community development. Underpinned by the theory of planned behavior, this study aims to identify the main determinants influencing Higher Education students' intentions to undertake SE (a behavior essential for community-level transformation) while also examining the moderating role of perceived feasibility. Design/methodology/approach – Empirical data were collected from 280 university graduates in Tunisia, providing a critical “global insight” into youth engagement in sustainable practices within an emerging economy context. Findings – Data analysis using partial least squares structural equation modelling (PLS-SEM) shows that several factors significantly and positively predict sustainable entrepreneurial intention (SEI): environmental values (a psychological factor), green consumption commitment (a sustainable behavior lever), environmental citizenship (a community engagement factor) and education for sustainable entrepreneurship (an innovative educational pathway). These intentions subsequently affect sustainable entrepreneurial behavior, and the relationship is significantly moderated by perceived feasibility. Originality/value – This research provides an original contribution by developing and expanding the literature on SE by identifying specific educational and psychological antecedents that empower youth, a key demographic for community change, to pursue sustainable ventures. Furthermore, it is among the rare studies to investigate the moderating role of perceived feasibility in the transition from sustainable entrepreneurial intention to concrete sustainable entrepreneurial behavior. This approach brings a novel perspective on how youth entrepreneurship can foster sustainable community development. It offers direct, evidence-based insights for managers and practitioners to design innovative strategies and educational programs that stimulate the sustainable entrepreneurial actions and mindsets necessary for community development.
Open Access: Yes
From complexity & research to cleanliness: The synergy of R&D investments, EV technologies and green complexity for sustainability
Publication Name: International Review of Economics and Finance
Publication Date: 2026-01-01
Volume: 105
Issue: Unknown
Page Range: Unknown
Description:
The developed and emerging countries strive for sustainability and focus on enhancing greener energy and electric products. Adopting electric vehicles and utilizing green energy sources are essential to this objective. This study examines the synergy between EV technologies, green energy, and sustainability in China using quarterly data from 2010Q1 to 2022Q4. In addition, it considers the policy-level roles of economic complexity and research and development efforts in the EV industry. The authors employ novel time-series methods to assess long-term associations, including unit root testing, the Bayer-Hanck cointegration test, FMOLS, and DOLS. Robustness is checked using both a parametric method (least squares with breaks) and a non-parametric method (quantile regression). The empirical results reveal that electric vehicle technologies, economic complexity, and R&D expenditures exert an unfavorable effect on greenhouse gas emissions. By contrast, green energy and economic globalization significantly reduce ecological emissions in the long run. The robustness check analysis through parametric and non-parametric provides robust and valid outcomes. Promoting the adoption of electric vehicles and investing in green energy, and research & development intiaitves have significant policy implications for attaining environmental sustainability. lastly, enhancing economic complexity and fostering economic globalization should be considered to ensure a stable environment and facilitate sustainable development and better environmental quality.
Open Access: Yes
Business Model Innovation in E-Commerce: Ethical Business Leadership Through Service Architecture Diversification
Publication Name: Business Ethics and Leadership
Publication Date: 2026-01-01
Volume: 10
Issue: 1
Page Range: 41-65
Description:
In e-commerce, advances in digital technology are increasingly driving service innovation, reshaping the principles of competitiveness and value creation through customer orientation, service quality, seamless customer experience, transparency, and trust. These elements add a new dimension to ethical business leadership. While current literature largely treats servitization and business model innovation as distinct phenomena, the portfolio architecture of service configurations as an independent mechanism of related diversification and the potential moderators of its ethical impact remain insufficiently formalized. This study aims to conceptualize service architecture diversification as a form of diversification through a portfolio of service-oriented business models and to examine its relationship with financial performance under varying levels of ethical components, specifically transparency and trust. The analysis is based on panel data from eight Ukrainian online retailers for the period 2019–2024. The study utilizes key indicators from official financial statements and a composite transparency and trust index constructed from publicly available information across four transparency markers. To quantify service architecture diversification, a composite index was developed using reproducible data. Methodologically, the study employs five panel regressions with fixed effects for online retailers and years, along with nonlinearity tests and lagged diagnostic models. Standard errors were estimated using heteroscedasticity-consistent standard errors, and the analysis was performed using Python’s statsmodels. Two separate series of regression models were constructed for different dependent variables, namely ROA and operating margin. In the baseline linear models, the effect of service architecture diversification is not statistically significant for either operating margin (p = 0.942) or ROA (p = 0.546), suggesting no immediate within-year effect. Nonlinearity diagnostics for ROA suggest a phased pattern, in which the quadratic term is negative and close to significance (b =-0.038; p = 0.067). In sensitivity checks excluding influential observation, significance becomes stronger in both the operating margin series (p = 0.025) and the ROA series (p = 0.046). Lagged tests for operating margin reveal a short-term negative relationship (b =-0.039; p = 0.002) together with a positive interaction between the indices (SArD×TT(t−1): b = 0.0056; p = 0.027). This is interpreted as evidence of the potential role of ethical transparency and trust in mitigating the negative effects of service transformation, although this moderating effect is sensitive to sample composition. From a practical perspective, the article positions service architecture diversification as a manifestation of ethical business leadership in business model innovation and establishes directions for further research aimed at refining its operationalization, clarifying its architectural alignment with the principles of ethical leadership, and explaining the mechanisms for overcoming the servitization paradox in the context of online retail.
Open Access: Yes
Architectural Heritage Digitization: A Classification-Driven Semi-Automated Scan-to-HBIM Workflow
Publication Name: Buildings
Publication Date: 2026-01-01
Volume: 16
Issue: 1
Page Range: Unknown
Description:
The digitization of historic architecture increasingly relies on dense point clouds, yet the conversion of these datasets into structured Historic Building Information Models (HBIM) remains slow, inconsistent, and heavily dependent on manual interpretation. This paper introduces a classification-driven, mesh-based semi-automated workflow designed to close this gap by providing a controlled, repeatable path from raw TLS data to BIM-ready geometry. The method combines three elements strategically integrated into a unified framework: (1) pre-classified point cloud groups that establish a structured starting point, (2) mesh simplification and slice-based geometric reconstruction executed through Rhino and Grasshopper, and (3) direct BIM integration using Rhino.Inside.Revit to generate categorized HBIM components rather than passive mesh imports. The workflow is validated on an irregular exterior stone column from the historic chapel in Sopronhorpács, Hungary, an element characterized by surface erosion, asymmetric profiles, and deviations from verticality. This type of geometry typically challenges both manual modeling and fully automated shape-fitting. The proposed method reconstructed the column as a Revit Structural Column element with a substantial reduction in modeling time compared to a manual Scan-to-BIM workflow. A deviations analysis confirmed that the reconstructed geometry remained within the millimeter-level accuracy required for conservation-grade documentation. The study demonstrates that combining element-based classification, mesh preprocessing, and controlled semi-automation can significantly improve both the speed and reliability of Scan-to-HBIM processes without requiring technical expertise yet delivers results that align with the precision expected in scientific documentation. By formalizing the Pre-Classified Modeling Logic (PCML), the approach provides a foundation for reconstructing a wide range of heritage elements and establishes a practical step forward toward more efficient, interpretable, and accessible digital preservation practices.
Open Access: Yes
