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Found 6374 publications
Molecular taxonomic evaluation of Anabaena and Nostoc strains from the Mosonmagyaróvár Algal Culture Collection
Publication Name: South African Journal of Botany
Publication Date: 2019-08-01
Volume: 124
Issue: Unknown
Page Range: 80-86
Description:
The taxonomy of genera Anabaena and Nostoc is very controversial. They are typically paraphyletic within phylogenetic trees and show similar morphological characters. The present study aimed to determine the taxonomic relationships among Anabaena and Nostoc strains of the Mosonmagyaróvár Algal Culture Collection (MACC)using 16S rRNA and rbcLX gene sequences. We concluded on the basis of the number of unsuccessful amplifications that more of the examined MACC Nostoc cultures are axenic than the Anabaena cultures. In agreement with previous studies we noticed that the applied phylogenetic algorithms gave congruent results in phylogenetic analyses. However, the genus Nostoc clearly was found not monophyletic in the present study and this finding differed from many of the previous studies. Molecular results contradicted the previous morphology-based classification of some MACC cyanobacteria strains, therefore polyphasic taxonomic approaches are required for the reliable identification of cyanobacterial species. Some strains seemed to be identical based on the alignment of 16S rRNA or rbcLX sequences.
Open Access: Yes
Pathways to sustainability: Evaluating the impact of green energy, natural resources, FinTech, and environmental policies in resource-abundant countries
Publication Name: Resources Policy
Publication Date: 2024-10-01
Volume: 97
Issue: Unknown
Page Range: Unknown
Description:
The escalating concerns about ecological sustainability have made the consumption of resources a crucial global issue. The speedy growth of the economy is heavily reliant on excessive consumption of resources, which significantly contributes to the imbalance between biodiversity and ecological footprint, resulting in a decrease in the carrying capacity. Both researchers and policymakers strive to enhance the amount of financial capital in the present time while ensuring that the country's economic growth remains unaffected. The primary objective of this study is to analyze the impact of green energy, financial technology (FinTech), and environmental regulations on enhancing the environmental sustainability of resource-rich countries from 1992 to 2022. To address problems with cross-sectional dependency and slope heterogeneity, this study employs the CS- ARDL model. The long-term results indicate that the reliance on income from natural resources decreased the load capacity factor. However, the load capacity factor was improved by shifting to green energy, adopting fintech, and implementing environmental regulations. The utilization of the AMG and CCEMG estimate procedures enhances the validity of the research findings. These findings provide essential policy recommendations for all stakeholder involved.
Open Access: Yes
MANAGING A VETERAN BUSINESS: TOPICALITY AND OPPORTUNITIES FOR SOCIAL ADAPTATION OF COMBATANTS
Publication Name: Polish Journal of Management Studies
Publication Date: 2023-12-22
Volume: 28
Issue: 1
Page Range: 295-310
Description:
The topicality of veteran-owned business management for the post-war support of Ukrainian combatants in light of their actual and dissatisfied needs is studied. We employ the expert method with a sample of 33 representatives of the national and regional authorities, scientists, NGOs specialising in the field, volunteering organisations representing the communities from 8 Ukrainian regions with the largest number of combatants. Thus, we have ranged the needs of combatants and concluded that the need to launch (or revive) own business is one of the really urgent ones. The entrepreneurial intentions of veterans are derived from social factors rather than financial reasons. Besides, they are related to unsatisfied needs in employment. It is revealed that veteran-owned business management in Ukraine should cover the development of social responsibility regarding veterans as the most influential mechanism.
Open Access: Yes
A modified model of the willingness to pay for functional foods
Publication Name: Appetite
Publication Date: 2019-07-01
Volume: 138
Issue: Unknown
Page Range: 94-101
Description:
The aim of this research was to develop a modified version of the Munene model summarizing the factors influencing willingness to pay for functional foods, adjusted to the Hungarian population. The questionnaire survey was conducted in 2014 in Hungary on a sample of 500 individuals, representative for gender, age, settlement type and region. Building blocks of the Munene model were examined and tested with a Latent Variable Path Analysis with the Partial Least Squares (LVPLS) model. According to the results, the strongest relationship in the modified model was identified between attitudes towards, and beliefs about, the attributes of functional foods, i.e. the more consumers believe in the health protecting effect of functional foods, the more positive their attitudes towards those foods, and the more they are willing to pay a premium for them. The highest explanatory power in the model was attributed to the attitudes towards functional foods, followed by beliefs about the attributes of functional foods, and then by consumer demographics. The modification of the original Munene model based on a Hungarian sample contributes to an examination of its usability and provides an example of how it can fit to another culture. Moreover, a comprehensive model including factors influencing WTP has not yet been developed among Hungarian consumers.
Open Access: Yes
Review on the occurrence of the mcr-1 gene causing colistin resistance in cow's milk and dairy products
Publication Name: Heliyon
Publication Date: 2021-04-01
Volume: 7
Issue: 4
Page Range: Unknown
Description:
Both livestock farmers and the clinic use significant amount of antibiotics worldwide, in many cases the same kind. Antibiotic resistance is not a new phenomenon, however, it is a matter of concern that resistance genes (mcr - Mobilized Colistin Resistance - genes) that render last-resort drugs (Colistin) ineffective, have already evolved. Nowadays, there is a significant consumption of milk and dairy products, which, if not treated properly, can contain bacteria (mainly Gram-negative bacteria). We collected articles and reviews in which Gram-negative bacteria carrying the mcr-1 gene have been detected in milk, dairy products, or cattle. Reports have shown that although the incidence is still low, unfortunately the gene has been detected in some dairy products on almost every continent. In the interest of our health, the use of colistin in livestock farming must be banned as soon as possible, and new treatments should be applied so that we can continue to have a chance in fighting multidrug-resistant bacteria in human medicine.
Open Access: Yes
Assessment of soil erosion patterns in Maharloo watershed using remote sensing techniques and early warning signals
Publication Name: Journal of Arid Environments
Publication Date: 2026-02-01
Volume: 232
Issue: Unknown
Page Range: Unknown
Description:
This study assessed the soil erosion dynamics in Iran's Maharloo watershed using remote sensing indices (Normalized Difference Vegetation Index (NDVI), Normalized Difference Salinity Index (NDSI), and Topsoil Grain Size Index (TGSI)) and machine learning models (RF, SVM, and BRT). Landsat 8 satellite images (2005–2024) were processed via the Google Earth Engine, with field validation ensuring accuracy. Among the indices, TGSI (R2 = 0.86), NDSI (R2 = 0.89), and NDVI (R2 = 0.87) showed the strongest correlations with ground data (Rain, Soil and Vegetation). The RF outperformed the other models (AUC = 0.89), identifying the central and western regions as warning erosion zones. Breakpoint analysis revealed abrupt changes in NDVI and NDSI (2013), while early warning signals (autocorrelation, variance, and skewness) indicated an escalating erosion warning, particularly near wetlands and rainfed fields. Spatial trends highlighted significant NDVI declines (Kendall's τ = 0.69) in wetland peripheries and NDSI increased (τ = 0.52) in northern farmlands. These findings underscore the efficacy of integrating machine learning and remote sensing for erosion monitoring, providing actionable insights for land management and conservation strategies.
Open Access: Yes
Blockchain-based concept for total site heat integration: A pinch-based smart contract energy management in industrial symbiosis
Publication Name: Energy
Publication Date: 2024-10-01
Volume: 305
Issue: Unknown
Page Range: Unknown
Description:
Industrial symbiosis has gained prominence in pursuing sustainable industrial practices, aiming to optimise resource utilisation and reduce environmental impacts. A critical aspect of this endeavour is the efficient management of energy resources within an industrial ecosystem. This paper presents a novel approach to enhance Total Site Heat Integration (TSHI) implementations by employing Blockchain as a facilitator for decentralised energy management. TSHI is an efficient and widely applied method for industrial symbiosis concerning energy flows, which employs the steam mains in site utility systems as the platform for exchanging heat between industrial processes at various temperature levels. It is shown that the synergy of Pinch Analysis and Smart Contract technologies is capable of facilitating energy integration of processes belonging to independent market actors, compared with the currently dominant integration inside a single company. The proposed framework leverages Blockchain as a distributed ledger to enable secure, transparent, and automated energy management across multiple industrial entities in an industrial symbiotic network. The integration of Pinch Analysis principles ensures that the Heat Integration process is optimised to improve the overall energy efficiency. Smart contracts enable automatic negotiation and execution of energy transactions based on predefined rules, minimising the time lag for concluding deals on energy resource exchange and conservation. This paper examines several scenarios to illustrate the implementation of the proposed Blockchain-based TSHI concept within an industrial symbiosis network. It is demonstrated that up to 16 % cost savings are possible by simply enabling transparency via Blockchain. The results could drive innovative development to revolutionise decentralised energy management in a complex industrial ecosystem, especially by synchronising energy exchanges in time.
Open Access: Yes
Mapping the scholarly landscape of TikTok (Douyin): A bibliometric exploration of research topics and trends
Publication Name: Digital Business
Publication Date: 2024-06-01
Volume: 4
Issue: 1
Page Range: Unknown
Description:
The TikTok platform has become widely popular among younger generations and has influenced various industries and aspects of life. This systematic literature review, using bibliometric methods, aims to examine the evolution of TikTok research from its initial development to its current status. A total of 402 journal articles from 2019 to 2022 were systematically selected from the Web of Science Core Collection. Descriptive statistical analysis identified the most contributing academic institutions, nations, journals, scholars, and influential studies. Using CiteSpace, three visualization types were implemented: cluster views, timezone views, and timeline views. The study results indicate that several TikTok research clusters exist, which summarize important topics such as the platform's overall impact on society, politics, culture, as well as human-centric issues such as social attachment, functional tics, and their implications for public health. According to the co-word analysis, TikTok research revolves around body consciousness, social behavior, consumer behavior, and news media. The comprehensive mapping of TikTok research provides valuable insights into the current state of knowledge and identifies numerous relevant technical and social areas for future investigation. As the first bibliometric review of TikTok research, this study offers an important foundation for future scholarly inquiry in various areas.
Open Access: Yes
Self-Diagnostic Opportunities for Battery Systems in Electric and Hybrid Vehicles
Publication Name: Machines
Publication Date: 2024-05-01
Volume: 12
Issue: 5
Page Range: Unknown
Description:
The number of battery systems is also growing significantly along with the rise in electric and hybrid car sales. Different vehicles use different types and numbers of batteries. Furthermore, the layout and operation of the control and protection electronics units may also differ. The research aims to develop an approach that can autonomously detect and localize the weakest cells. The method was validated by testing the battery systems of three different VW e-Golf electric vehicles. A wide-range discharge test was performed to examine the condition assessment and select the appropriate state of charge (SoC) for all three vehicles. On the one hand, the analysis investigated the cell voltage deviations from the average; the tests cover deviations of 0 mV, 12 mV, 60 mV, 120 mV, and 240 mV. On the other hand, the mean value calculation was used to filter out possible erroneous values. Another important aspect was examining the relationship between the state of charges (SoC) and the deviations. Therefore, the 10% step changes were tested to see which SoC level exhibited more significant voltage deviations. Based on the results, it was observed that there are differences between the cases, and the critical range is not necessarily at the lowest SoC level. Furthermore, the load rate (current) and time of its occurrence play an important role in the search for a faulty cell. An additional advantage of this approach is that the process currently being tested on the VW e-Golf can be relatively simply transferred to other types of vehicles. It can also be a very useful addition for autonomous vehicles, as it can self-test the cells in the system at low power consumption.
Open Access: Yes
