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Found 6374 publications

Review of the most successfully used cognitive architectures in robotics and a proposal for a new model of knowledge acquisition

Publication Name: Sisy 2014 IEEE 12th International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2014-10-14

Volume: Unknown

Issue: Unknown

Page Range: 239-244

Description:

This paper describes the current state-of-the-art in Cognitive Architectures, which could assist in the development of the agent-based robotic systems, and gives a proposition for a possibly new model. Agent-based cognitive systems would be the key-factor of the future autonomous mobile robots.

Open Access: Yes

DOI: 10.1109/SISY.2014.6923593

Mediumship and its Cognitive 'Survival' in Identification of Collective Individuation the Hungarian Painter-Genius Csontváry's Mediumship and 'Survival' : Part III. The Analysis of the Feminine Representations of the Picture

Publication Name: 10th IEEE International Conference on Cognitive Infocommunications Coginfocom 2019 Proceedings

Publication Date: 2019-10-01

Volume: Unknown

Issue: Unknown

Page Range: 567-572

Description:

The paper deals with the mediumship and the retro-cognitive and precognitive patterns in identification of collective individuation. We attend to show the relationships between the artistic visions (pictures) of Csontváry the Hungarian genius. The paper continues the analysis of some important details.11 This paper is dedicated to the blessed memory of Dr. Rezs Pertorini and Dr. Anthony Storr. Thanks for the inspiration to Dr. Katalin Gellér.

Open Access: Yes

DOI: 10.1109/CogInfoCom47531.2019.9089892

Forest Fires and Their Impact on Hungary’s 2050 Climate Goals

Publication Name: Ecocycles

Publication Date: 2026-01-07

Volume: 11

Issue: 2

Page Range: 105-110

Description:

Forest fires are gaining attention as a climate issue because they release greenhouse gases—mainly CO2—and because the forests that burn lose their ability to store carbon. In Hungary, the direct CO2 emissions from forest fires make up only about 0.29% of the country’s yearly emissions, but they still matter in the bigger climate picture. However, the long-term cumulative impact, the high emission rate per hectare and the resulting reduction in CO2 removal capacity are strategically important issues in achieving the 2050 climate neutrality goals. This research fills a research gap. It provides a quantitative analysis of forest fire emissions and removal losses using data from the European Forest Fire Information System (EFFIS) and national forestry statistics. The total CO2-related climate burden is projected to be approximately 4,300 kt by 2050. Despite modest absolute values, forest fires represent an under-recognized but growing risk in national climate planning. The results support the need for long-term policy integration of fire mitigation, afforestation and forest management strategies. This study provides a replicable methodology and practical knowledge for shaping climate policy in smaller EU Member States.

Open Access: Yes

DOI: 10.19040/ecocycles.v11i2.642

Relationship between corporate sustainability and compliance with state-owned enterprises in Central-Europe: A case study from Hungary

Publication Name: Sustainability Switzerland

Publication Date: 2019-10-01

Volume: 11

Issue: 20

Page Range: Unknown

Description:

Our study deals with the control of Hungarian state-owned business associations in order to find out whether there is any correlation between corporate sustainability and compliance. According to our hypothesis, the state has a greater responsibility for the sustainable operation of state-owned enterprises-one of the tools of which can be the efficient construction of so-called compliance controls. A state-owned enterprise can be sustained in its operation and function by doing what it has been assigned to it as a task. The sustainable operation can be achieved through the use of circular feedback and continuous control. Corporate sustainability can be influenced by a number of factors that are crucial to the integrity and adequacy of companies. In our study, these are the Initial Hazard Factors (IHFs), Hazardous Increasing Factors (HIFs), and Control Enhancement Factors (CEFs), which were used in indexed form for testing. For the specific analysis, we used the Analytical Hierarchy Process (AHP) method to rank and evaluate risk avoidance options. We analyzed the practice of the State Audit Office of Hungary and its results and found that in the case of state-owned enterprises, the current Hungarian legal system does not contain uniform normative regulations that would regulate the control of conformity in a broader sense. As a result, corporate integrity and corporate compliance are also subject to a fragmented set of rules in different jurisdictions. This has a negative impact on the development of the company's long-term, sustainable operating principles. Based on our research, a number of factors have been identified (including enterprise size and intensive use of EU funding resources) that may result in a loss of corporate sustainability but can be mitigated or even eliminated by creating an effective internal control environment. Based on literature analysis, most of the Hungarian phenomena are typical of the former socialist countries of Central Europe. The interpretation of sustainability-in transition management countries-for first-generation enterprises which were developed in a socialist market economy is quite different from the most developed countries of the European Union. The main reason for this is that generational rules do not yet exist.

Open Access: Yes

DOI: 10.3390/su11205653

Assessing the future impact of 12 direct air capture technologies

Publication Name: Chemical Engineering Science

Publication Date: 2024-10-05

Volume: 298

Issue: Unknown

Page Range: Unknown

Description:

Direct Air Capture (DAC) is regarded as an effective method to decrease the concentration of CO2 in the atmosphere and thus alleviate the greenhouse effect. This article conducts a comparative analysis of the CO2 emissions of 12 state-of-the-art DAC technologies. The evaluations consider regional (EU, USA, and China) and temporal (years 2023, 2030, and 2050) energy supply variations. It is found that the CO2 emissions generally decrease over time for all the different regions considered. The best CO2 emission performance is found in Europe, followed by the United States and China. The evaluation also finds that currently a substantial number of DAC technologies could not achieve net-negative emission, especially for China. In 2050, most of the DAC technologies are found to perform significantly better in terms of their negative emission performance. We also found that the utilization of fossil fuels, especially coal, needed to operate the DAC process, substantially hinders its ability to achieve net-negative emission. Electrochemical-based technologies are found to outperform others in all scenarios, especially when powered with renewable electricity. The DAC technologies relying on steam-based sorbent regeneration can greatly reduce their CO2 emission when low-carbon energy is used for steam generation. Finally, in all the different scenarios, the DAC technologies incorporating high-temperature calcination regenerations exhibit the worst performance due to the lack of low-emission energies for generating fired heat.

Open Access: Yes

DOI: 10.1016/j.ces.2024.120423

Application of Digitalisation in Regulated Environments for Predictive Failure Modelling

Publication Name: IFAC Papersonline

Publication Date: 2024-06-01

Volume: 58

Issue: 8

Page Range: 222-227

Description:

This paper explores the challenges of applying digitalization in regulated pharmaceutical manufacturing environments. A large range of complex equipment including pumps, valves and vessels may be associated with pharmaceutical batch production processes. Maintenance of such equipment are often based on reactive or preventative strategies which are not always effective and not completely successful in preventing costly downtime or scrap. This research examines how predictive maintenance Key Performance Indicators (KPIs) can be developed through data capture using non-intrusive sensors and their integration with production data derived from Programmable Logic Controllers (PLCs), Enterprise Resource Planning (ERP) systems, and Product Lifecycle Management (PLM) systems. The significance of regulation and the associated challenges in applying digitalization within such a highly regulated environment are also considered. This research aims to shed light on the potential benefits and challenges of implementing digital solutions for predictive maintenance in regulated manufacturing environments to contribute to the enhancement of operational efficiency and product quality while reducing costs due to outages.

Open Access: Yes

DOI: 10.1016/j.ifacol.2024.08.124

Altered dynamics may drift pathological fibrillization in membraneless organelles

Publication Name: Biochimica Et Biophysica Acta Proteins and Proteomics

Publication Date: 2019-10-01

Volume: 1867

Issue: 10

Page Range: 988-998

Description:

Protein phase transition can generate non-membrane bound cellular compartments, which can convert from liquid-like to solid-like states. While the molecular driving forces of phase separation have been largely understood, much less is known about the mechanisms of material-state conversion. We apply a recently developed algorithm to describe the weak interaction network of multivalent motifs, and simulate the effect of pathological mutations. We demonstrate that linker dynamics is critical to the material-state of biomolecular condensates. We show that linker flexibility/mobility is a major regulator of the weak, heterogeneous meshwork of multivalent motifs, which promotes phase transition and maintains a liquid-like state. Decreasing linker dynamics increases the propensity of amyloid-like fragments via hampering the motif-exchange and reorganization of the weak interaction network. In contrast, increasing linker mobility may compensate rigidifying mutations, suggesting that the meshwork of weak, variable interactions may provide a rescue mechanism from aggregation. Motif affinity, on the other hand, has a moderate impact on fibrillization. Here we demonstrate that the fuzzy framework provides an efficient approach to handle the intricate organization of membraneless organelles, and could also be applicable to screen for pathological effects of mutations.

Open Access: Yes

DOI: 10.1016/j.bbapap.2019.04.005

Asbestos Poverty as a New Paradigm for Multidimensional Urban Sustainability

Publication Name: Journal of Urban Health

Publication Date: 2026-02-01

Volume: 103

Issue: 1

Page Range: 214-228

Description:

The popularity of asbestos-containing products stemmed from their fire resistance, thermal insulation properties, and mechanical strength. However, their well-documented adverse health effects led to the prohibition of their use in many countries. This research aims to conduct a comprehensive examination of the often-overlooked social dimensions associated with asbestos, with a specific focus on the affected population’s circumstances and the potential solutions accessible to them. Its analysis encompasses legal regulations concerning asbestos, societal awareness, and the economic implications of asbestos removal from the perspective of those impacted. The findings highlight that the remediation of asbestos-containing products is often contingent on the financial and social conditions of the affected population, posing significant challenges for the economic sector and environmental protection efforts. This research contributes to the development of integrated approaches that address social, economic, and environmental dimensions in tandem. Its originality lies in situating the concepts of social sustainability and socially oriented environmental development within the context of asbestos-related policies. The findings suggest that achieving asbestos-free environments is feasible only through the integration of social dimensions, taking into account the economic and social conditions of the affected communities.

Open Access: Yes

DOI: 10.1007/s11524-026-01063-5

On the Convergence of Sigmoidal Fuzzy Grey Cognitive Maps

Publication Name: International Journal of Applied Mathematics and Computer Science

Publication Date: 2019-09-01

Volume: 29

Issue: 3

Page Range: 453-466

Description:

Fuzzy cognitive maps (FCMs) are recurrent neural networks applied for modelling complex systems using weighted causal relations. In FCM-based decision-making, the inference about the modelled system is provided by the behaviour of an iteration. Fuzzy grey cognitive maps (FGCMs) are extensions of fuzzy cognitive maps, applying uncertain weights between the concepts. This uncertainty is expressed by the so-called grey numbers. Similarly as in FCMs, the inference is determined by an iteration process which may converge to an equilibrium point, but limit cycles or chaotic behaviour may also turn up. In this paper, based on the grey connections between the concepts and the parameters of the sigmoid threshold function, we give sufficient conditions for the existence and uniqueness of fixed points of sigmoid FGCMs.

Open Access: Yes

DOI: 10.2478/amcs-2019-0033