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Found 6515 publications

Economic development and growth in central and Eastern Europe

Publication Name: Comparative Economic Research

Publication Date: 2021-01-01

Volume: 24

Issue: 4

Page Range: 69-84

Description:

The study investigates the economic growth in Central and Eastern Europe in the last 25 years. The economy can be regarded as a substantial topic in any country, but it is even more interesting in developing countries. One of the basic ideas of the European Union is the convergence between member states, namely the reduction of development disparities, which can be achieved through faster economic growth in less-developed countries. Growth theory is one of the main topics in economics. Its significant importance is because the desire for development is one of the main driving forces of mankind. The aim of the study is to reveal the crucial differences and common features between the growth paths of the eleven Central and Eastern European member states of the European Union. After presenting growth theories, the growth performance of the examined Central and Eastern European member states is pinpointed. During the research, GDP per capita, population, migration, activity rate, employment rate, unemployment rate, foreign direct investment and foreign trade openness are considered.

Open Access: Yes

DOI: 10.18778/1508-2008.24.31

New species in the alien flora of Hungary

Publication Name: Kitaibelia

Publication Date: 2025-01-01

Volume: 30

Issue: 2

Page Range: 203-232

Description:

In this compilation we present the first occurrences of 22 vascular plant species not previ ously documented from the territory of Hungary. Fifteen of the species are casuals, while seven of them are already naturalised, at least locally. We report the mass appearance and naturalization of Sagina maritima and the emergence of Carduus pycnocephalus along roadsides, single sites of Chaenorhinum litorale and Solanum elaeagnifolium near railway lines, and the localities of Lepidium latifolium and Sisymbrium volgense in various disturbed habitats, and some occurrences of Acalypha virginica in ur ban environments. The first record of Bacopa rotundifolia is from a rice field, while that of Hydrocotyle sibthorpioides is from an urban lawn, and Senna tora occurred on construction debris. Among the spe cies that appeared spontaneously as a result of earlier planting, Celastrus orbiculatus forms a natural ized population in a tree plantation, Hygrophila triflora and Pontederia cordata are present in artificial canals and lakes, and Cenchus longisetus has become naturalised and is spreading along the banks of the Danube in Szentendre. Most other species are associated with trampled or heavily disturbed habi tats in built-up areas (pavement edges, fences, ruderal areas). Alnus cordata, Eryobotria japonica, Euon ymus alatus, Paxistima canbyi, Pistacia terebinthus and Solanum pseudocapsicum are present as casuals, while Viola palmata has become naturalised in built-up environments. The naturalisation process of Allium aflatunense on a private property has also been documented.

Open Access: Yes

DOI: 10.17542/kit.30.081

Blockchain and supply chain sustainability

Publication Name: Logforum

Publication Date: 2020-01-01

Volume: 16

Issue: 3

Page Range: 363-372

Description:

Background: Supply chain sustainability is a central concern of most organizations. The main objective of sustainable supply chains is to create and maintain long term economic, social, and environmental value for all stakeholders involved in delivering products and services to markets. As sustainability constitutes one of the critical drivers of innovation, the recent emergence of blockchain technology typifies the disruptive impact of digital innovation on supply chain sustainability. Blockchain is a foundational technology that poses a shift in the development of supply chain sustainability. Methods: Despite the increasing importance of blockchain in improving supply chain efficiencies and bringing societal changes, research investigating its potentialities from the lens of sustainability is scarce. Therefore, the primary goal of this paper is to fill this knowledge gap and synthesize the literature from leading journals on the topic of blockchain and its relation to supply chain sustainability. Papers were collected from different scientific databases and carefully analyzed. The possibilities of blockchains are identified and classified according to the triple bottom line framework, namely the economic, social, and environmental dimensions of sustainability. Results and conclusions: The majority of studies focused on the economic implications of blockchains on supply chains. The sustainable economic aspects of the technology identified in the reviewed literature are mostly the transformational potentials of blockchains and their capabilities to drive new disintermediated business models, higher operational efficiencies, cost advantages, and additional sources of value creation. The social empowerment of supply chains is found through the ability of blockchain to create trustful relationships among supply chain partners, increase food safety, support humanitarian logistics, and promote social equity. Moreover, firms attempting to move forward in their environmental policies and strategies can use blockchain to extend their efforts to improve their environmental practices across the supply chain, reduce the strain on energy and natural resources, and offer environmentally friendly products.

Open Access: Yes

DOI: 10.17270/J.LOG.2020.467

Housing price trends as a function of distance from Győr as a centre

Publication Name: Teruleti Statisztika

Publication Date: 2023-01-01

Volume: 63

Issue: 5

Page Range: 557-574

Description:

Examining the impact of spatial parameters is a central factor in research related to the analysis of housing prices, mostly involving data at the municipal level or higher. The present study builds on a less common approach, focusing on the analysis of the impact of a spatial parameter, distance from the centre, on property prices, furthermore, the empirical research uses aggregated municipal- level data based on the level of individual dwellings. On the one hand, the study aims to review and systematise the determinants of property prices, with a more detailed focus on previous studies of the impact of distance from the centre, and on the other hand, within the framework of empirical research, to examine the impact of distance from Győr as a centre on the supply price of detached houses.

Open Access: Yes

DOI: 10.15196/TS630502

Pontfelhők geometriai és attribútumtorzulásai

Publication Name: Geodezia Es Kartografia

Publication Date: 2025-01-01

Volume: 77

Issue: 3

Page Range: 18-26

Description:

The paper addresses geometric and attribute distortions in point clouds, which can arise at various stages of data acquisition and processing. The authors present the main sources of distortions—such as sensor limitations, platform movement, and environmental influences—and their impact on point density, data distribution, and attribute reliability. They detail statistical methods for quantitative evaluation of distortions (e.g., Getis–Ord Gi*, Moran’s I, Gini coefficient), which allow systematic measurement and correction of errors. The study emphasizes that analyzing and mitigating distortions is essential for creating more accurate spatial models and producing reliable geoinformatics analyses.

Open Access: Yes

DOI: 10.30921/GK.77.2025.3.3

Data-driven linear parameter-varying modelling of the steering dynamics of an autonomous car

Publication Name: IFAC Papersonline

Publication Date: 2021-07-01

Volume: 54

Issue: 8

Page Range: 20-26

Description:

Developing automatic driving solutions and driver support systems requires accurate vehicle specific models to describe and predict the associated motion dynamics of the vehicle. Despite of the mature understanding of ideal vehicle dynamics, which are inherently nonlinear, modern cars are equipped with a wide array of digital and mechatronic components that are difficult to model. Furthermore, due to manufacturing, each car has its personal motion characteristics which change over time. Hence, it is important to develop data-driven modelling methods that are capable to capture from data all relevant aspects of vehicle dynamics in a model that is directly utilisable for control. In this paper, we show how Linear Parameter-Varying (LPV) modelling and system identification can be applied to reliably capture personalised model of the steering system of an autonomous car based on measured data. Compared to other nonlinear identification techniques, the obtained LPV model is directly utilisable for powerful controller synthesis methods of the LPV framework.

Open Access: Yes

DOI: 10.1016/j.ifacol.2021.08.575

Estimating high mobility group box protein 1 (HMGB1) single nucleotide polymorphisms among hepatitis B virus infected patients of Pakistan origin

Publication Name: Brazilian Journal of Biology

Publication Date: 2025-01-01

Volume: 85

Issue: Unknown

Page Range: Unknown

Description:

HMGB1 is nuclear non-histone protein and unique member of cytokines. In viral hepatitis infection HMGB1 serum level increases and translocates towards cytoplasm and extracellular spaces where it activates single stimulating hepatic stellate cell proliferation which induces fibrogenic protein expression and causes hepatocellular carcinoma. In this study, total 150 subjects were recruited to assess the association between HMGB1 SNPs and HBV. Three types of genotypes were found visible in rs3742305 of HMGB1; wild type homozygous GG with 65%, homozygous minor type CC with 6% and heterozygous minor type GC with 26% frequency distribution. High prevalence of GG genotype in the selected population presenting that GG genotype may have higher risk for susceptibility to HBV infection. Our results showed significant correlation of HMGB1 polymorphism with HBV infection in the selected Pakistani population.

Open Access: Yes

DOI: 10.1590/1519-6984.284560

Synergistic dynamics unveiled: Interplay between rare earth prices, clean energy innovations, and tech companies' market resilience amidst the Covid-19 pandemic and Russia-Ukraine conflict

Publication Name: Resources Policy

Publication Date: 2024-02-01

Volume: 89

Issue: Unknown

Page Range: Unknown

Description:

Rare earth elements play a crucial role in supporting low-carbon energy generation technologies, such as electric motors in electric vehicles and the production of wind turbines. Additionally, these elements are utilized in a wide range of products manufactured by tech companies, including smartphones, aerospace components, and microelectronics. This paper aims to investigate the interplay between rare earth element prices (REMX), clean energy innovations (NEX), and the market of tech companies (PSE) from February 2018 to February 2023. To analyze the interdependencies between these markets, the study employs the cross-quantilogram (CQ) and wavelet local multiple correlation (WLMC) techniques. The findings of the investigation reveal a positive correlation between rare earth elements and the clean energy market, but only when both markets are in their respective extreme quantiles (10th and 90th). However, when the clean energy market is in a lower quantile and REMX is in a higher one for an extended period, there is either no significant interdependence or a negative relationship. Furthermore, the study identifies a positive co-movement between PSE and REMX in the short, intermediate, and extremely long-term. However, this relationship turns negative in the long run. The values of the coefficients fluctuate over time, particularly at larger scale periods of 8–16 when using the WLMC procedure. These findings have notable implications for stakeholders, including investors, managers, and policymakers, who are linked to the field of mineral resources and industries reliant on rare earth element-based technologies.

Open Access: Yes

DOI: 10.1016/j.resourpol.2023.104615

Arable Weeds and Management in Europe

Publication Name: Vegetation Classification and Survey

Publication Date: 2020-01-01

Volume: 1

Issue: Unknown

Page Range: 169-170

Description:

“Arable Weeds and Management in Europe” is a collection of weed vegetation records from arable fields in Europe, initiated within the Working Group Weeds and Biodiversity of the European Weed Research Society (EWRS). Vegetation-plot data from this scientific community was not previously contributed to databases. We aim to prove the usefulness of collection for large scale studies through some first analyses. We hope to assure other weed scientists who have signalled willingness to share data, and plan to construct a full data base, making the data available for easy sharing. Presently, the collection has over 60,000 records, taken between 1996 and 2015. Many more studies for potential inclusion exist. Data originate mostly from studies exploring the effect of agricultural management on weed vegetation. The database is accompanied with extensive meta-data on crop and weed management on the surveyed fields. The criteria for inclusion were a minimum amount of information on the cultivated crop, and a georeference. Most fields were surveyed repeatedly, i.e. transects, multiple random plots, or repeated visits. All surveys aimed to record the complete vegetation on the plots. Sometimes, taxa were identified only to genus level, due to survey dates very early in the vegetation period. Plant taxonomy is standardized to the Euro+Med PlantBase.

Open Access: Yes

DOI: 10.3897/VCS/2020/61419