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Megérti-e a választ, ha megkérdezi kezelőorvosát, gyógyszerészét? Az egészségműveltség mérésének aktuális kérdései Magyarországon
A szolgáltatók szerepe és felelőssége a desztinációk fenntartható turizmusának megteremtésében, illetve kialakításában: Szisztematikus irodalmi áttekintés
Examining the Impact of Certain Factors on the Delivery Time of a Manufacturing Firm Using Data Science Methods
Territoriality in Climate Adaptation? Space Interpretations of Different Disciplines and Fields and their Potential Utilization in the Examination of Climate Adaptation’s Territorial Aspects
Linear vector recursions of arbitrary order
Solution of various combinatorial problems often requires vector recurrences of higher order (i.e., the order is larger than 1). Assume that there are given matrices A(1), A(2), ..., A(s), all from C-kxk. These matrices allow us to define the vector recurrence (v) over bar (n) = A(1)(v) over bar (n-1) +A(2)(v) over bar (n-2) + center dot center dot center dot + A(s)(v) over bar (n-s) for the vectors (v) over bar (n) is an element of C-k, n >= s. The paramount result of this paper is that we could separate the component sequences of the vectors and find a common linear recurrence relation to describe them. The principal advantage of our approach is a uniform treatment and the possibility of automatism. We could apply the main result to answer a problem that arose concerning the rows of the modified hyperbolic Pascal triangle with parameters {4, 5}. We also verified two other statements from the literature in order to illustrate the power of the method
Classification of acacia, rape and multifloral Hungarian honey types
The composition of honey is mostly determined by the species-specific characteristics of flowering plants, which is reflected in the significant deviations in composition of honey varieties. The high-quality acacia honey is assessed based on both physical-chemical parameters and melissopalynology. The appearance of rape pollen in acacia honey makes the acacia honey be sorted into the multifloral honey category. Over carrying out melissopalynology, the149 samples of various honeys (acacia, rape and multifloral) have also been analysed by using physical-chemical and elemental analysis. Multivariate data analysis revealed that multifloral honey is much closer to acacia honey than to rape honey, as it can be observed from the examined unique parameters. By the PCA (Principal Component Analysis) analysis based on united set of physico-chemical and melissopalynology results the acacia and rape honey samples are entirely separated for each other, while multifloral honey samples are very close to acacia honey group and partially overlap with it. On ignoring the pollen analysis and based on the rest of the results, the multifloral honey category is almost indistinguishable from the declared and verified acacia honey category
AI in Finance: Innovative Approaches for Sustainable Business Models
Artificial Intelligence (AI) is increasingly recognized as a transformative force driving sus-tainable business innovation in the financial sector. This study conducts a methodological meta-analysis of existing research to examine AI’s role in advan-cing sustainable finance. By systematically reviewing and synthesizing literature from peer-reviewed journals, industry reports, and academic sources, this study focuses on AI applications such as machine learn-ing and neural networks that support environmental, social, and governance (ESG) objec-tives. Key applications include AI-driven financial forecasting, risk management, and auto-mated reporting systems that enhance transparency and facilitate green finance initiatives. Each selected study was rigorously evaluated for methodological quality and relevance to ensure robust findings. The analysis identifies recurring themes, challenges, and gaps in the current literature, with an emphasis on ethical considerations and regula-tory compliance. The study provides insights into how AI can improve decision-making processes by integrat-ing sustainability indicators, thus fostering long-term value creation in finance. The findings underscore AI’s strategic importance in achieving sustainability goals and offer a foundation for future research and inno-vation in sustainable finance. JEL-codes: O33, C18, G21, Q01, D8
Fenntarthatóság több szemszögből (Recenzió)
[Csath Magdolna – Horváth Klaudia – Nagy Balázs – Taksás Balázs: A fenntarthatóság árnyalatai (M. Csath, Szerk.). Ludovika Egyetemi Kiadó, Budapest, 2020. ISBN 978- 963-531-308-2]Csath Magdolna szerkesztésében 2020-ban megjelent A fenntarthatóság árnyalatai című könyv rendkívül fontos témakört dolgoz fel, hiszen napjaink egy égető kérdését, a fenntarthatóságot járja körül különböző szempontok alapján. Ezek a szempontok a környezet, a társadalom és a gazdaság, mely éppen az a három dimenzió, amely a több tucat megjelent fenntarthatósági definíció közös alappillére