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Found 6427 publications

Enhancing Policy Insights: Machine Learning-Based Forecasting of Euro Area Inflation HICP and Subcomponents

Publication Name: Forecasting

Publication Date: 2025-12-01

Volume: 7

Issue: 4

Page Range: Unknown

Description:

Accurate inflation forecasting is of central importance for monetary authorities, governments, and businesses, as it shapes economic decisions and policy responses. While most studies focus on headline inflation, this paper analyses the Harmonised Index of Consumer Prices (HICP) and its 12 subcomponents in the euro area over the period 2000–2023, covering episodes of financial crisis, economic stability, and recent inflationary shocks. We apply a broad set of machine learning and deep learning models, systematically optimized through grid search, and evaluate their performance using the Normalized Mean Absolute Error (NMAE). To complement traditional accuracy measures, we introduce the Forecastability Index (FI) and the Interquartile Range (IQR), which jointly capture both the difficulty and robustness of forecasts. Our results show that RNN and LSTM architectures consistently outperform traditional approaches such as SVR and RFR, particularly in volatile environments. Subcomponents such as Health and Education proved easier to forecast, while Recreation and culture and Restaurants and hotels were among the most challenging. The findings demonstrate that macroeconomic stability enhances forecasting accuracy, whereas crises amplify errors and inter-model dispersion. By highlighting the heterogeneous predictability of inflation subcomponents, this study provides novel insights with strong policy relevance, showing which categories can be forecast with greater confidence and where uncertainty requires more cautious intervention.

Open Access: Yes

DOI: 10.3390/forecast7040063

From childhood imitation based studying to a knowledge based society

Publication Name: International Journal of Learning

Publication Date: 2010-01-01

Volume: 17

Issue: 1

Page Range: 221-242

Description:

In most countries the following questions are very frequently asked: how can our country become a knowledge - based economy, what requirements are needed to meet to establish a knowledge based society, how can we form our culture that it should support the new behaviour? There are basic elements of national, organisational and personal culture, such as study skills and the willingness to study, methods of knowledge acquisition (for example literacy), childhood curiosity (for example which can be satisfied by the sample behaviour of adults), youthful pursuit of knowledge experience gained in the course of work. One of the critical elements of knowledge acquisition is how and from whom we can receive it. The other critical question is how we can share our knowledge with other people, how it should become a common value to improve the memory of organisations and nations. The features of this behaviour can be observed from childhood but these are going to change depending on the characteristics of the environment and age. In our research the emphasis was put on the age characteristics that influence our studying habits and sources of our knowledge acquisition from childhood to adulthood. The aim of this international research is to explore factors that can help and/or obstruct the process of knowledge sharing which should become daily routine from imitation - based studying to knowledge-based society. © Common Ground, Andrea Bencsik.

Open Access: Yes

DOI: 10.18848/1447-9494/cgp/v17i01/46801

Circular Concepts and Values: Will Reuse Become Fashionable?

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 301-306

Description:

Analysts often treat the circular economy as a technical issue. They often focus on how to organise work processes better. The authors’ concept is that circularity is much more than that, and a more precise and holistic approach can help create a better and more inclusive future for all. Young people play a key role in achieving a circular future (as a socioeconomic system). In this paper, the authors will look at how young people relate to circular processes. The research, based on a survey of 1,442 university students, took place in November and December 2022. The majority of the respondents were born around 2000 and are enrolled in undergraduate studies at Széchenyi István University. The questions of a standardised questionnaire were designed to collect information on the awareness of participation in the socioeconomic cycle process, the understanding of the context and the way of participation. The results of the research show that the students who consider themselves environmentally conscious are more likely to recycle and collect waste selectively, but it is not clear whether they participate in extending the life of the objects (swapping, second market, etc.). The research also found that students do not use and are typically unaware of online applications promoting circular lifestyles. The research sheds light on what a circular future would look like and what could be built on it.

Open Access: Yes

DOI: 10.3303/CET23107051

Future: Carrier and family plans of 5th-year female medical students

Publication Name: Lege Artis Medicinae

Publication Date: 2006-06-01

Volume: 16

Issue: 6

Page Range: 585-589

Description:

INTRODUCTION - The aim of this study was to analyze female medical students' carrier and family attitudes and plans in view of two social problems: (1) the increasing shortage of physicians in Hungary and (2) conflicts and health problems in the life of female doctors caused by professional and family duties. METHOD - The basis of this study is a self-reported questionnaire-based survey performed in the spring of 2004 among 5th-year female medical students in the faculties of general medicine at Semmelweis and Debrecen universities. One hundred and seventeen students (46.2%) responded. RESULTS - The overwhelming majority of students (91.5%) want to work as a physicians, and 63.5% plan to work abroad in health care. As to family planning, 95.7% of the respondents would like to have children, although only 52.8% plan to stay at home in the first three years. CONCLUSION - These data suggest that the majority of Hungarian female medical students want to be engaged in the medical profession and plan to meet both family and career demands. Due to its special requirements, however, this profession may generate future marital, childmother relationship and workplace conflicts.

Open Access: Yes

DOI: DOI not available

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Publication Name: Emerging Science Journal

Publication Date: 2024-02-01

Volume: 8

Issue: 1

Page Range: 251-269

Description:

Large numbers of mobile wireless nodes that can move randomly and join or leave the network at any moment make up mobile ad-hoc networks. A significant number of messages are delivered during information exchange in populated regions because of the Internet of Things' (IoT) exponential increase in connected devices. Congestion can increase transmission latency and packet loss by causing congestion. More network size, increased network traffic, and high mobility that necessitate dynamic topology make this problem worse. An adaptive Multipath Multichannel Energy Efficient (AMMEE) routing strategy is proposed in this study, in which route selection strategies depend on forecasted energy consumption per packet, available bandwidth, queue length, and channel utilization. While multichannel uses a channel-ideal assignment process to lessen network collisions, multipath offers various paths and balances network strain. The link bandwidth is split up into a few sub-channels in the multichannel mechanism. To reduce network collisions, several source nodes simultaneously access the channel bandwidth. The cooperative multipath multichannel technique offers several paths from a single source or from several sources to the destination without colliding or becoming congested. The AMMEE routing approach is the basis for path selection. A load-and bandwidth-aware routing mechanism in the proposed AMMEE chooses the path based on node energy and forecasts their lifetime, which improves network dependability. The outcome demonstrates a comparative analysis of various multichannel medium access control (MMAC) techniques, including Parallel Rendezvous Multi Channel Medium Access Protocol (PRMMAC), Quality of Service Ad hoc On Demand Multipath Distance Vector (QoS-AOMDV), Q-learning-based Multipath Routing (QMR), and Topological Change Adaptive Ad hoc On-demand Multipath Distance Vector (TA-AOMDV) and the proposed AMMEE method. The results show that the AMMEE approach outperforms alternative systems.

Open Access: Yes

DOI: 10.28991/ESJ-2024-08-01-018

How augmented reality impacts retail marketing: a state-of-the-art review from a consumer perspective

Publication Name: Journal of Strategic Marketing

Publication Date: 2023-01-01

Volume: 31

Issue: 3

Page Range: 718-748

Description:

Augmented reality presents numerous opportunities and challenges for marketers to enrich the retail shopping experience. Although the technology is well established, practical marketing applications are rare, and the existing literature is unstructured. We conduct a systematic literature review with the goal of synthesizing the latest developments in the field and developing research propositions. We analyze 91 papers and identify four major enablers of AR in retail marketing: enhancement of the consumer experience, improvement of the customer-brand relationship, support of marketing activities, and promotion of marketing competitiveness. The challenges of AR adoption in marketing include technical limitations, consumer-oriented challenges, technological immaturity, and organizational challenges.

Open Access: Yes

DOI: 10.1080/0965254X.2021.1972439

Road patterns of housing estates in Hungary

Publication Name: Pollack Periodica

Publication Date: 2015-04-01

Volume: 10

Issue: 1

Page Range: 83-92

Description:

This paper deals with the road patterns of housing estates in eight Hungarian cities. The investigation was directed to the characteristic of street networks using geographic information system. The different types of housing estates were compared using the following indicators: ratio of T and X junctions, ratio of the dead ends, average distance between nodes, connectivity index, and road density. It is concluded that according to their street network the housing estates have three periods.

Open Access: Yes

DOI: 10.1556/Pollack.10.2015.1.8

Financing of Agricultural Pensions on the European Continent

Publication Name: Public Finance Quarterly

Publication Date: 2022-01-01

Volume: 67

Issue: 1

Page Range: 83-99

Description:

Supporting agriculture in Europe is important for many reasons: on the one hand, to secure food supplies, and on the other, to ensure the sustainability of rural lifestyles. But in recent decades, rural populations have also been affected by population ageing. Different agricultural pension schemes have been set up in European countries, taking into account the specificities of the agricultural sector. Pension funds have tended to be more important where the role of small farms was significant and the pension system was of the fully Bismarckian type. In general, they were not introduced where a 'kolkhoz system' existed in East-Central Europe before 1990. In our study we looked at the different forms that have been implemented. We have reviewed the changes that have taken place in recent decades and found that in some countries, states have supplemented contributions to pension payments by up to 75-85%. Our methodology involves document analysis and comparative assessment. We argue that it is worthwhile to encourage farmers to continue production on smaller farms by providing special sectoral support, career funding and pensions in order to meet social and environmental objectives.

Open Access: Yes

DOI: 10.35551/PFQ_2022_1_5

Sustainability Approach of SAP Application Management Service Solutions in the Field of Warehouse Management

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 259-264

Description:

Organizations using SAP systems encounter the challenge of enhancing services while minimizing costs and response times. To achieve this, SAP offers a comprehensive range of sustainable cloud solutions in the field of Application Management Services (AMS), integrating machine learning, big data, and smart-machine technologies. This research endeavors to offer an alternative, sustainable approach, utilizing non-cloud-based machine learning to improve the efficiency of ticket classification in SAP AMS. This study presents an SAP Extended Warehouse Management (EWM) related case study in which various machine learning algorithms were applied to real-world SAP ticket data to automatically categorize incident tickets. As warehousing plays a major role in streamlining the supply chain, this approach aligns with the goals of sustainable supply chain process optimization. During the analysis, various classification algorithms were compared to achieve the best metrics. Our research did not just analyze the different algorithms for that specific business problem. The best model was integrated and deployed as well to accomplish a sustainable SAP AMS solution in the field of EWM.

Open Access: Yes

DOI: 10.3303/CET23107044