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Found 6515 publications

Characteristics, Epigenetics, and Management of Non-Infectious Preterm Birth—Sterile Intrauterine Inflammation and Idiopathic Preterm Birth

Vilmos Fülöp Sándor Nagy Kornél Lakatos László Kalmár Borbála Szeiler György Végh

Publication Name: Life

Publication Date: 2026-06-01

Volume: 16

Issue: 6

Page Range: Unknown

Description:

Preterm birth is a major cause of neonatal morbidity and mortality, and many spontaneous cases remain idiopathic. Increasing evidence suggests that intrauterine inflammation may occur in the absence of detectable infection, leading to the recognition of sterile intrauterine inflammation as an important mechanism contributing to threatened preterm labor and spontaneous preterm birth. This review summarizes current knowledge regarding the role of damage-associated molecular patterns (DAMPs), alarmins, pattern recognition receptors, inflammasome activation, cellular senescence, and pyroptosis in the initiation of sterile inflammatory pathways associated with labor. Key mediators including HMGB1, IL-1α, fetal cell-free DNA, platelet-activating factor, and S100 proteins appear to promote inflammatory activation within fetal membranes and the amniotic cavity. The review also discusses the emerging contribution of fetal immune activation, maternal–fetal immune dysregulation, maternal microchimerism, and epigenetic mechanisms to idiopathic preterm birth. Current diagnostic and therapeutic options remain limited, and no targeted treatment for sterile intrauterine inflammation has yet been established. Future approaches may include precision biomarkers, multiomics-based risk stratification, targeted immunomodulatory therapies, and modulation of maternal–fetal immune interactions. Improved understanding of sterile inflammatory mechanisms may ultimately support development of personalized strategies to prevent preterm birth and improve perinatal outcomes.

Open Access: Yes

DOI: 10.3390/life16060882

Examining Tertiary Education Amid the War in Ukraine: A Synthetic Control Approach

Marianna Kichurchak Olha Hrynkevych Halyna Mishchuk Yuriy Bilan Iryna Paslavska

Publication Name: European Journal of Interdisciplinary Studies

Publication Date: 2024-01-01

Volume: 16

Issue: 2

Page Range: 95-115

Description:

War consistently imposes significant challenges to the functioning and advancement of higher education. To identify the key trends in the development of tertiary education in Ukraine during 2014-2021 amid the war, the synthetic control method (SCM) was employed. The outcome variable for assessing tertiary education development is the gross enrolment ratio of the relevant age group. The broadest set of predictors influencing the dependent variable, for which statistical data is available on the World Bank website, consists of eighteen indicators. Through statistical and expert analysis, sixteen countries were selected for inclusion in the control group. The pre-war period was defined as 2000-2013, with 2014 marking the war’s onset, and 2015-2021 representing the war years. In the first stage, a synthetic model is constructed using the broadest possible dataset. In the second stage, the model’s sensitivity is analyzed, leading to the reduction of predictors to thirteen and the control group to ten countries. Consequently, the adequate synthetic model for the development of tertiary education in Ukraine from 2014 to 2021 was established. A placebo test confirmed that the observed gap between actual and synthetic values for tertiary education in Ukraine is not coincidental. The SCM analysis revealed that, without the war, a decline in demand in tertiary education would have been predicted for the 2014-2021 period. The observed gap underscores the significant impact of the war on Ukraine’s higher education system, providing valuable insights for shaping policy initiatives aimed at advancing tertiary education in the post-war era.

Open Access: Yes

DOI: 10.24818/ejis.2024.13

Decision support system for evaluating existing apartment buildings based on fuzzy signatures

Gergely Molnarka Laszlo T. Koczy

Publication Name: International Journal of Computers Communications and Control

Publication Date: 2011-01-01

Volume: 6

Issue: 3

Page Range: 442-457

Description:

In historical district at European cities it is a major problem how to take decision on renovating or replacing existing buildings. This problem is imminent in Budapest (Hungary) in many traditional districts such as the Ferencváros district where we selected a compound area for further examination. By financial aid for the renovation of these buildings which awarded by Municipal Assembly of this district in question there is much uncertainty and confusion concerning how to decide whether or not and how to reconstruct a building where new private owners apply for support. In this paper we propose a formal evaluation method based on fuzzy signature rule bases (the formal being a special case of L-fuzzy object). Using the available expert knowledge we propose a fuzzy signature model including relevance weights and weighted aggregations for each node and parent node, respectively, so that as a result a single membership value may be calculated for each building in question. Linguistic labels for decision (such as worthless, average, highly valuable, etc.) are generated from the values thus obtained. Such linguistic calculations might be of help for the Municipal Assembly awarding financial support. A complete example wit 26 buildings is presented. © 2006-2011 by CCC Publications.

Open Access: Yes

DOI: 10.15837/ijccc.2011.3.2129

Modeling soil erosion severity and sub-watershed prioritization in the Middle Omo-Gibe River basin of Ethiopia: an integrated RUSLE, geospatial, and field survey approach

Pritam Chand Manoranjan Mishra Ishtiaq Ahmed Wogene Kabato Abera Abiyo Dofee Wogene Solomon Kabato Tadele Buraka Bushasha

Publication Name: Environmental Earth Sciences

Publication Date: 2026-06-01

Volume: 85

Issue: 12

Page Range: Unknown

Description:

Soil erosion poses significant global challenges across socioeconomic and environmental domains. This study introduces an integrated methodology for soil loss estimation and modeling soil erosion severity in the Middle Omo-Gibe River (MOGR) basin of Southern Ethiopia. The research has employed the Revised Universal Soil Loss Equation (RUSLE) model alongside geospatial techniques, farmers' perception, and field-based survey. Results indicate a mean rainfall-runoff erosivity of 855.49 MJ mm/ha/h/year and the mean soil erodibility is 0.36 Mg/ha/MJ mm in the river basin. Over half of the basin exhibits strong slope gradients, with topographic factors ranging from 0 to 72.14. The estimated mean annual soil loss is 38.38 t/ha/yr, with 42% of the basin area surpassing the accepted erosion limit (i.e., > 10 t/ha/yr). About 54% of sub-watersheds in the river basin exhibit high to very severe soil loss, including ten sub-watersheds classified as extremely severe, with soil loss rates greater than 100 t/ha/yr. Additionally, the rate of soil loss calculated for the watershed agrees well with the results of farmers' perception, the experimentation outputs of soil physico-chemical properties, and the findings of previous studies. The finding underscores a robust framework for assessing soil erosion and facilitating informed decisions for sustainable use of land resources and conservation across various river basins in Ethiopia.

Open Access: Yes

DOI: 10.1007/s12665-026-12997-z

Psychological Characteristics of Young Motocross (MX) Riders Based on Hungarian Championship Races †

Ferenc Ihász Tamás Gyömörei Zsolt Bálint Katona László Kerner Zoltán Alföldi

Publication Name: Engineering Proceedings

Publication Date: 2024-01-01

Volume: 79

Issue: 1

Page Range: Unknown

Description:

Motocross (MX) requires physical and psychological fitness, so the performance of the individual is crucial to success. The aim of this study is to describe psychological characteristics measured under competitive conditions among successful adolescent MX riders. Methods: Eight young Hungarian MX riders were analyzed using the Individual Zones of Optimal Functioning (IZOF) model. Results: The pleasure component was lower, while tension and stressors were almost always greater after the race than before, regardless of the result achieved. Conclusion: Further research is needed to ensure the outstanding performance of riders combined with high-quality technical training and psychological preparation.

Open Access: Yes

DOI: 10.3390/engproc2024079081

Primary Sector Value Addition and Environmental Performance in BRICS: The Roles of Environmental Policy Stringency and Green Innovation

Sakiru Adebola Solarin Naif Alsagr Péter Németh Péter Németh Shahid Ali Sakiru Adebola Solarin

Publication Name: Land Degradation and Development

Publication Date: 2026-06-01

Volume: 37

Issue: 10

Page Range: 5709-5721

Description:

In recent decades, the BRICS countries have experienced rapid economic growth, much of which has been driven by agriculture, natural resource extraction, and industrial exports. However, the continued expansion of these sectors is accompanied by growing environmental vulnerabilities. While value addition in agriculture, forestry, and fishing is crucial for development, it is also widely acknowledged as a contributor to land degradation. Against this backdrop, this study examines the impact of agriculture, forestry, and fisheries value added on environmental performance in the BRICS countries over the period of 1990–2023. This study is the first to integrate agricultural, forestry, and fishing (AFF) value added, natural resource rents, green innovation, environmental policy stringency, and greenhouse gas (GHG) emissions into a single framework, with an emphasis on the BRICS countries. We employ quantile regression to uncover how these relationships differ across different levels of the distribution of GHG emissions. As a robustness check, we use the bootstrap quantile regression approach, which estimates coefficients and standard errors through a bootstrapping procedure. The results show that primary sector value addition is positively related to GHG emissions. However, renewable energy consumption, environmental policy stringency, total natural resource rents, and green innovation negatively affect GHG emissions.

Open Access: Yes

DOI: 10.1002/ldr.70481

Is early smoking a fashion trend or a defensive mechanism? - Study on consumer behaviour among students

Ida Ercsey Péter Huszka László Józsa

Publication Name: Economics and Sociology

Publication Date: 2014-01-01

Volume: 7

Issue: 1

Page Range: 142-156

Description:

Health status in Hungary has been deteriorating since the mid-1960s, resulting that Hungary is behind the developed health cultures - mainly Western European - countries. Considering these facts, our scientific interest turned to the examination of health awareness, drinking and smoking habits, healthy lifestyles, state of health and environmental awareness of adolescents and youngsters. To realize these tasks, during the set-up of the sample our aim was to provide representativeness and randomness. The research found that those pupils, who had a harmonious relationship with their parents, maintained a lower level (substance use) smoking and smoking frequency characteristic. No less important is the observation that youngsters try the cigarettes more and more early, but they are far too optimistic in assessing their own health.

Open Access: Yes

DOI: 10.14254/2071-789X.2014/7-1/13

Algorithmic model generation for multi-site multi-period planning of clean processes by P-graphs

Botond Bertok Károly Kalauz Márton Frits

Publication Name: Journal of Cleaner Production

Publication Date: 2024-01-01

Volume: 434

Issue: Unknown

Page Range: Unknown

Description:

Optimal clean process design requires strict constraints to enforce waste and byproduct management, all of which can be formulated in the language of mathematical programming. However, waste management and the utilization of by-products are often carried out in locations or periods other than the production process. The paper describes all modeling steps by P-graphs sufficient to represent raw material availability and production capacities in multiple time periods at multiple sites, as well as transportation and storage capacities of process materials and wastes. These steps are integrated into a single comprehensive model generation algorithm. For easier understanding, each model generation step is illustrated by a case study of planning a multi-site multi-period furniture production process alongside the recent challenges of energy supply and waste management. Finally, the case study of furniture production is analyzed under various circumstances to highlight the power of the proposed tools in daily production and transportation planning. Accordingly, the proposed method provides such alternative 5 best manufacturing and logistics plans that, in the event of a complete failure or overloading of one of the production capacities at either locations, there is still an alternative plan within a 3% profit decrease.

Open Access: Yes

DOI: 10.1016/j.jclepro.2023.140192

Artificial intelligence and emerging technologies: Exploring opportunities through smart specialisation

No authors available

Publication Name: Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship

Publication Date: 2023-02-14

Volume:

Issue:

Page Range: 237-253

Description:

Open Access: No

DOI: DOI not available