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Found 6412 publications

PAST, PRESENT AND FUTURE OPPORTUNITIES OF STRATEGIC PURCHASING OF HEALTHCARE SERVICES IN HUNGARY

Publication Name: Lege Artis Medicinae

Publication Date: 2026-01-01

Volume: 36

Issue: 4-5

Page Range: 199-210

Description:

In recent decades, the Strategic Purchasing of Healthcare Services has become one of the defining pillars of the operation of mandatory health insurance and national health care systems – not only in the healthcare and health insurance systems of economically developed countries, but increasingly in developing countries as well. The Strategic Purchasing of Healthcare Services aims at the conscious development of the health insurance package: for the early dissemination of new cost-effective healthcare technologies, the sustainable operation of an efficient, high quality healthcare system and improved access for the population. In Hungary, a comprehensive development proposal for the establishment of the Strategic Purchasing of Healthcare Services was already prepared in the first decade of 2000s, by the implementation of the National Health Insurance Fund. These partially led to results, but to this day, a comprehensive Strategic Purchasing of Healthcare Services with embedded resources at the level of laws and government decrees and an appropriate institutional system and resources is still missing. In this study, we partly explore these antecedents, and partly provide an international outlook on current practices of other countries. However, we mainly update the domestic proposals intented for a new health policy administration with a potentially different approach.

Open Access: Yes

DOI: 10.33616/lam.36.0199

The Connections Between Science and State Decision-Making

Publication Name: Rechtskultur

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 451-465

Description:

Science has been and is a fundamentally defining factor in human history. Current achievements in technology, scientific development and the scientific method make it possible to explain, verify on a scientific basis any and all phenomena occurring today. Accordingly, science has a fundamental impact on how society operates. However, the proper functioning of society needs more: normative standards that the government, as public authority, can create (legislation) and implement (law enforcement) through its various governmental bodies. But how does this connect to science and scientific achievements? How do scientific achievements determine or may determine governmental function? In order to even attempt answering these questions, we have to take a detailed look at scientific thinking. In my study, I have prepared a thorough overview of the characteristics of science and scientific thinking, and their interconnections with governmental decision-making.

Open Access: Yes

DOI: DOI not available

Breaking and making constitutional rules: The constitutional effects of the financial crisis in Hungary

Publication Name: Constitutions in the Global Financial Crisis A Comparative Analysis

Publication Date: 2013-12-01

Volume: Unknown

Issue: Unknown

Page Range: 245-261

Description:

No description provided

Open Access: Yes

DOI: DOI not available

What Internal Factors Influence the Capacity Expansion Decisions of Family Businesses Regarding the Recycling of Animal Waste? - Model Testing Research from the Meat Industry

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 721-726

Description:

A significant amount of animal waste is generated in the meat industry, and this is no different in the case of family businesses in the meat industry, be it slaughterhouses, meat processors or poultry farms. Animal waste is not always waste. Some parts of it can be recycled. In the course of their research, the authors tested their previously developed model with an online survey of 45 family businesses in the meat industry and with in-depth interviews analysed with the help of artificial intelligence. The aim of the research is to assess which internal factors influence the decision of family businesses in the meat industry to expand the capacity required for the recycling of animal waste. The research verified the model and provided useful, practical examples for the utilisation of animal waste.

Open Access: Yes

DOI: 10.3303/CET24114121

Application of interpolation-based fuzzy logic reasoning in behaviour-based control structures

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2004-12-01

Volume: 3

Issue: Unknown

Page Range: 1543-1548

Description:

Some difficulties emerging during the construction of fuzzy behaviour-based control structures are inherited from the type of the applied fuzzy reasoning. The fuzzy rule base requested for many classical reasoning methods needed to be complete. In case of fetching fuzzy rules directly from expert knowledge e.g. for the behaviour coordination module, the way of building a complete rule base is not always straightforward. One simple solution for overcoming the necessity of the complete rule base is the application of interpolation-based fuzzy reasoning methods, since interpolation-based fuzzy reasoning methods can serve usable (interpolated) conclusion even if none of the existing rules is hit by the observation. These methods can save the expert from dealing with derivable rules and help to concentrate on cardinal actions only. For demonstrating the applicability of the interpolation-based fuzzy reasoning methods in behaviour-based control structures a simple interpolation-based fuzzy reasoning method and its adaptation for behaviour-based control will be introduced briefly in this paper.

Open Access: Yes

DOI: 10.1109/FUZZY.2004.1375404

Structure Selection and LPV Model Identification of a Car Steering Dynamics⁎

Publication Name: Unknown

Publication Date: 2018-01-01

Volume: 51

Issue: 15

Page Range: 1086-1091

Description:

A Linear Parameter-Varying (LPV), discrete-time black box model of an electric power assisted steering system of a passenger car is identified from open-loop step response measurement data. The goal is to provide a nominal model for control design and analysis that is able to describe the principal characteristics of the system in the whole region of steering angle and speed range of 3 to 30 km/h. Examining a set of experimental data by using classical linear time-invariant black box modeling and validation techniques, the structure of the LPV model is determined. The parameters of the model are identified based on minimizing a quadratic error criterion by nonlinear optimization algorithms.

Open Access: Yes

DOI: 10.1016/j.ifacol.2018.09.049

Analysis of the complex environmental impact on urban trajectories

Publication Name: Proceedings of the ASME Design Engineering Technical Conference

Publication Date: 2015-01-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

Modeling traffic processes on large-scale road networks leads to the application of positive non-linear systems, Luenberger (1979). Running profiles can be gained from the applied large-size network model based on previous validations, which are sufficiently complex, complicated and built up by accelerations, decelerations and frequent stops. To develop accelerated methods for analyzing complex environmental impact on urban trajectories Our planned researches on emission encourage the further standardization and beyond that, the bilateral interoperability. According to our goals we point out on the differences, which have to be taken into account in the urban traffic also, and of which the lab measurements may vary. Real processes operate like this, which differ from those applied in laboratories and on roller brake test bench. In reality, however, vehicle emission strongly depends on driving style; moreover, it is also affected by any change in traffic flow. Significant differences can be realized in various regions and countries. The role of the optimal vehicle control is highlighted in every case. The same can be stated of the environmental loads of pollutant emissions and concerning the vehicle and environment dynamic. The detailed analysis introduced above has big impact on further automotive researches as being rapid and applicable for big number of vehicles providing statistical support.

Open Access: Yes

DOI: 10.1115/DETC2015-47077

Blockchain technology in the smart city: a bibliometric review

Publication Name: Quality and Quantity

Publication Date: 2022-10-01

Volume: 56

Issue: 5

Page Range: 2875-2906

Description:

Blockchain can function as a foundational technology with numerous applications in smart cities. The objective of this paper is twofold. First, it provides a detailed overview of the extant literature on blockchain applications in smart cities; second, it reveals the trends and suggests future research directions for scholars who wish to contribute to this rapidly growing field. We conducted a bibliometric review using a keyword co-occurrence network and article co-citation analysis. The analysis includes the assessment of 148 articles published between 2016 and 2020 in 76 academic journals. The review results demonstrate that the number of articles devoted to the study of blockchain applications and smart cities has increased exponentially in recent years. More importantly, the research identifies some of the most influential studies in this area. The paper discusses trends and highlights the challenges related to the deployment of blockchain in smart cities. To the authors’ best knowledge, this represents the first study to review the literature from leading journals on blockchain applications in smart cities using bibliometric techniques.

Open Access: Yes

DOI: 10.1007/s11135-021-01251-2

A LiDAR-based approach to autonomous racing with model-free reinforcement learning

Publication Name: IEEE Intelligent Vehicles Symposium Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 258-263

Description:

This paper explores the use of reinforcement learning (RL) in the context of autonomous vehicle racing, specifically focusing on the F1TENTH simulation platform. While commercial autonomous driving often employs classic control algorithms, the state-of-the-art solutions, including those in the F1TENTH domain, increasingly rely on RL. Notably, RL-based approaches have shown superhuman performance in simulated environments, as seen in drone racing and the recent achievement by Sony in autonomous racing. In this paper we propose a novel LiDAR-only observation for learning vehicle dynamics, and test it with a widely accessible model-free RL method. The trained agent demonstrates the capability to transfer its driving skills to previously unseen tracks. Additionally, the paper provides recommendations for selecting hyperparameters, contributing valuable insights for newcomers to the field of autonomous racing.

Open Access: Yes

DOI: 10.1109/IV55156.2024.10588613