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DETERMINANTS FOR POST-PANDEMIC RECOVERY OF MACROECONOMIC STABILITY: EVIDENCE FROM EUROPEAN COUNTRIES

Alina Vysochyna Wojciech Cieśliński Tetiana Vasylieva Domonkos Tinka

Publication Name: Economics and Sociology

Publication Date: 2024-01-01

Volume: 17

Issue: 2

Page Range: 256-272

Description:

The destructive consequences of the COVID-19 pandemic have negatively affected socioeconomic indicators and disrupted macroeconomic stability. The aim of the study is to determine the optimal combination of financial, socioeconomic, and public health determinants based on their relevance for the post-pandemic recovery of macroeconomic stability. For this purpose, principal component analysis was used to form an initial macroeconomic stability index by integrating such indicators as GDP growth, unemployment rate, consumer price index, current account balance, and trade volume. Next, the Granger test and panel data regression modeling was employed to identify the causality between the level of macroeconomic stability and a set of financial, socioeconomic and public health determinants. Finally, the financial, socioeconomic, and public health determinants were ranked according to their impact on macroeconomic stability. The obtained empirical results can be used to improve the financial, economic, and health care state policies in terms of strengthening country resistance to risks caused by a pandemic or other similar threats in the future.

Open Access: Yes

DOI: 10.14254/2071-789X.2024/17-2/13

Learning generalized weighted relevance aggregation operators using levenberg-marquardt method

B. Sumudu U. Mendis Tamás D. Gedeon Laszlo T. Koczy

Publication Name: Proceedings Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro Computing and Evolving Intelligence His Ncei 2006

Publication Date: 2006-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

We previously introduced the generalized Weighted Relevance Aggregation Operators (WRAO) for hierarchical fuzzy signatures. WRAO enhances the ability of the fuzzy signature model to adapt to different applications and simplifies the learning of fuzzy signature models from data. In this paper we overcome the practical issues which occur when learning WRAO from data. This paper discuss an algorithm for learning WRAO using the Levenberg-Marquardt (LM) method, which is one of the most sophisticated and widely used gradient based optimization method. Also, this paper shows the successful results of applying the proposed algorithm to extract WRAO for two real world problems namely High Salary Selection and SARS Patient Classification. © 2006 IEEE.

Open Access: Yes

DOI: 10.1109/HIS.2006.264917

When herbicides don't really matter: Weed species composition of oil pumpkin (Cucurbita pepo L.) fields in Hungary

Bálint Czúcz Péter Karácsony G. Pinke Zoltán Botta-Dukát

Publication Name: Crop Protection

Publication Date: 2018-08-01

Volume: 110

Issue: Unknown

Page Range: 236-244

Description:

Oil pumpkin is a major emerging alternative crop with several unresolved weed management questions in central-eastern Europe, one of the focal regions of oil pumpkin production worldwide. This study aims to assess the importance of three groups of factors: environment, non-chemical management (all management excluding herbicides), and chemical weed management, in determining the weed species composition of oil pumpkin crops in Hungary. We surveyed the weed flora of 180 oil pumpkin fields across the country, along with 32 background variables. Applying a minimal adequate model consisting of 18 terms with significant net effects, 30.8% of the total variation in weed species data could be explained. Most variation in species composition was determined by environmental factors, with climatic conditions (precipitation and temperature) being most influential. The net effects of seven non-chemical management variables (preceding crop, N and P fertilisers, seeding rate, crop cover, cultivating tillage, and manual weed control), and two herbicides (S-metolachlor and linuron) were also significant. Variation partitioning demonstrated the dominance of environmental factors, and it also showed that non-chemical management practices accounted for five times more variance than herbicides. Within non-chemical management, the relative impact of cultural variables was nearly five times larger than that of mechanical weed management. Among the abundant weeds, Chenopodium polyspermum and Ambrosia artemisiifolia were positively associated with precipitation, Datura stramonium and Hibiscus trionum correlated with higher temperature, and Chenopodium album favoured larger potassium content of the soil. High seeding rate and crop cover suppressed Amaranthus retroflexus, cultivating tillage reduced Ambrosia artemisiifolia and Setaria pumila, while conspicuous tall weeds like Abutilon theophrasti and Chenopodium album were most vulnerable to manual weed control. Although the short stature of pumpkin with its poor weed-suppressive ability could unfavourably influence the results of some cultural practices, our findings suggest that the weed vegetation of oil pumpkin fields can be efficiently managed also with environmentally benign methods.

Open Access: Yes

DOI: 10.1016/j.cropro.2017.06.018

A holistic approach to Sustainable Development Goal 8: Integrating economic growth, employment, and sustainability

Prema Nedungadi Raghu Raman Deepak Kumar Behera Sangeetha Gunasekar Sougata Ray Dávid Lóránt Dénes

Publication Name: Equilibrium Quarterly Journal of Economics and Economic Policy

Publication Date: 2025-03-30

Volume: 20

Issue: 1

Page Range: 147-202

Description:

Research background:The realization of United Nations Sustainable Development Goals (SDGs) 8 hinges on the sustained growth of both the economy and the global employment outlook. In order to ensure progress in fostering inclusive and equitable growth and employment opportunities, it is essential to undertake a comprehensive analysis of the SDG findings across all relevant subtargets. Purpose of the article: This study provides an in-depth analysis of the research surrounding SDG 8 (Decent Work and Economic Growth), emphasizing its pivotal role in sustainable development. Methods: Utilizing the PRISMA framework and BERTopic method, it explores the intricate interconnections between SDG 8 and other goals, such as reducing inequalities (SDG 10), clean energy (SDG 7), climate action (SDG 13), poverty alleviation (SDG 1), and innovation and infrastructure (SDG 9). Findings & value added: The findings emphasize the importance of subtarget 8.1 (sustained per capita growth) and subtarget 8.5 (full employment and decent work for all). Additionally, the study underscores the need for policies supporting resource efficiency and sustainable consumption (subtarget 8.4), while green innovation and the digital economy are strongly linked to subtarget 8.2 (enhanced productivity through technological upgrading). Ensuring that economic growth is inclusive and equitable, as outlined in subtarget 8.3, is crucial for reducing inequalities. Policymakers must balance economic growth with environmental sustainability, promoting decent work conditions (subtarget 8.8) and adopting green technologies. These findings offer valuable insights for advancing SDG 8, ensuring that economic progress benefits all segments of society while safeguarding natural resources and fostering long-term prosperity.

Open Access: Yes

DOI: 10.24136/eq.3342

Examining fire pump nocchi CB8038T on cavitation

Nikolett Fecser

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2019-01-01

Volume: 47

Issue: 3

Page Range: 220-224

Description:

For the safe operation of pumps, it is essential to examine the operation parameters. Operation deviating from the operational parameters defined by the manufacturers would damage the pumps. The majority of specialists who are experts at pump technology and fluid mechanics are familiar with cavitation and aware of its detrimental effects. Firstly, in my study I will briefly present the cavitation as a phenomenon taking place during operation and its counting method. Then I state the results of our measurements carried out during the operation of a pump built in a system type Nocchi CB8038T. My goal is to call the attention to the proper way of the operation of centrifugal pumps, the cavitation generated during operation as a harmful phenomenon and its development examined in practice by us.

Open Access: Yes

DOI: 10.3311/PPtr.12960

Altered blood glucose dynamics during and after anhepatic phase of liver transplantation: A model-based approach

Balázs Benyó J. Geoffrey Chase Jozsef Homlok Paul Docherty Katalin Kovács

Publication Name: Ines 2013 IEEE 17th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2013-12-12

Volume: Unknown

Issue: Unknown

Page Range: 65-68

Description:

During liver transplantation (LT) the glucose metabolism is effected by a crucial disturbance. The blood glucose level is extremely hard to control by conventional clinical protocols during this phase. Model based approach can enhance the blood glucose control during the anhepatic phase (absence of liver) and post-anhepatic phase. The physiological constants of validated clinical metabolic model were slightly modified based on previous studies. The model fitting errors and the sufficient capture of the blood glucose (BG) dynamic evinced the applicability of the model. However the sufficient per-patient estimation of endogenous production could more enhance the performance of the model based BG prediction. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2013.6632784

Reconstruction of accidents involving commercial vehicles rollover

Gyula Kőfalvi

Publication Name: European Automobile Engineers Cooperation 10th Eaec European Automotive Congress Eaec 2005

Publication Date: 2005-12-01

Volume: 3

Issue: Unknown

Page Range: 1056-1069

Description:

No description provided

Open Access: Yes

DOI: DOI not available

Genotyping of four loci in Hungarian yellow and broiler chickens

Károly Tempfli Klaudia Szalai Erika Lencsés-Varga Ágnes Bali Papp

Publication Name: Acta Veterinaria Hungarica

Publication Date: 2019-01-01

Volume: 67

Issue: 1

Page Range: 1-10

Description:

Traditional selection has led to remarkable differences in allele frequencies among various chicken breeds. Indigenous and broiler-type chicken populations were genotyped for polymorphisms in thyroid hormone responsive Spot14α, prolactin (PRL), IGF-binding protein 2 (IGFBP2), and somatostatin (SST) genes in order to determine potential utilisation type-associated allele frequencies. Significant (P < 0.05) differences were detected between Hungarian Yellow and broiler populations for Spot14α, PRL, and IGFBP2 allele frequencies, whereas the same SST allele (A) was fixed in both groups. In this study, the most significant associations (P < 0.05) were found between the IGFBP2 genotypes and the measured traits (body weight, carcass weight, breast muscle weight with or without skin, breast muscle weight as a percentage of carcass weight) in the broiler population. The results can be applied for the evaluation of polymorphism effects in the analysed populations; however, contradictory allele effects in different breeds and hybrids indicate the need for cautious marker utilisation in selection programmes.

Open Access: Yes

DOI: 10.1556/004.2019.001

Quality Education and Digitalization Efforts, the Catalysts of Sustainable Development

Márta Konczos Szombathelyi Viktória Kövecses-Gősi Zita Kaszalik

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 601-606

Description:

Education, science, technology, research and innovation are the supporting tools of the European Union's Sustainable Development 2030 program. They are valuable elements in themselves, the priority of which cannot be doubted, since they act as catalysts. What should be the direction to follow with the help of these factors in order to preserve competitiveness within the framework of sustainability? The solution is a factor affecting the lives of all of us. The world of business, education and this resent are trying to find a solution to this challenge. Sustainable development is a priority goal of the internal and external policies of the European Union, among the 17 Sustainable Development Goals (SDGs), the member states undertake to implement quality education and develop digital competence. The Erasmus+ education and training EU (European Union) programs help to overcome the differences between Member States and regions.

Open Access: Yes

DOI: 10.3303/CET23107101