Acknowledgments Introduction 1. Ethnicity without Groups 2. Beyond "Identity" 3. Ethnicity as Cognition 4. Ethnic and Nationalist Violence 5. The Return of Assimilation? 6. "Civic" and "Ethnic" Nationalism 7. Ethnicity, Migration, and Statehood in Post-Cold War Europe 8. 1848 in 1998: The Politics of Commemoration in Hungary, Romania, and Slovakia Notes References Index
Tourism has developed into one of the world’s most important industrial sectors, growing faster than the world’s gross domestic product for the last 30 years. According to World Travel and Tourism Councils’ prediction (WTTC) tourism contribution to the GDP will be 4.2% directly and 9.6% together (direct, indirect) in 2011. This sector’s contribution to the labor market will be 99 million people directly and 260 million people all together in the same year. (WTTC, 2011) In the past years – except for the drop caused by recession – tourism turned into one of the propulsive industries in Hungary. Therefore, in order to make our guests desire to return to Hungary and to entice others to visit Hungary too, we – who live here – should provide tourists with an appropriate level of services. Among services, one of the most important areas is the information service. Development of Information and Communication Technologies (ICTs) and the expansion of the Internet penetration have changed dramatically in the last few decades. Tourism platforms are a growing phenomenon on the Internet, and this resource has substantially altered the tourism-related information search and destination selection process. In consequence of these changes, new technologies have been adopted into the tourism industry (hotel information systems, Geographical Information Systems (GIS), Internet, web technology, mobile technology) and this trend is likely to continue into the future. In recent years, social media websites and searching have become an increasingly dominant mode in travelers’ use of the Internet. Because tourism can be considered as one of the most profitable sectors of the Hungarian economy, and in rural areas it is often the only successful economic activity, it is vital to make Hungary much more attractive with the help of developed ICTs.
This paper provides a comprehensive assessment of the margins along which firms responded to a large and persistent minimum wage increase in Hungary. We show that employment elasticities are negative but small even four years after the reform; that around 75 percent of the minimum wage increase was paid by consumers and 25 percent by firm owners; that firms responded to the minimum wage by substituting labor with capital; and that disemployment effects were greater in industries where passing the wage costs to consumers is more difficult. We estimate a model with monopolistic competition to explain these findings. (JEL J23, J24, J31, J38, L13)
Sámuel Szilágyi, Francesco Desiderio, Balázs Marton
et al.
Fruit size and weight are valuable characteristics for cherry breeders, mainly because of their higher market price. Several molecular markers have been developed in recent years and have been correlated with fruit weight. In cherries, <i>FW_G2a</i> was identified as a promising hotspot for fruit size and weight characteristics. Two markers flanking that region were taken into consideration in this study. The local sweet and sour cherry collection in Érd, Hungary, was analyzed using molecular markers to identify possible correlations between the markers and phenotypes. The duration of phenotypic observations varied from 3 years in sour cherry to 5 years in sweet cherry. In our study, we observed correlations between fruit size and weight and the molecular markers of our germplasm collection. We confirmed the previously published association of haplotypes 190–255 and 192–233 with large and small fruit size, respectively, in sweet cherry. Individual alleles of both markers were identified, showing moderate to strong correlations with large and small fruit size in sweet cherry. In tetraploid sour cherry, a higher number of unique allelic combinations were found due to the higher level of ploidy compared to sweet cherry. Individual alleles were detected with moderate positive correlations with fruit size, while one allele showed a strong negative correlation with fruit dimension-related traits. These markers were found to be useful for the characterization of fruit size characteristics, for population selection and for the differentiation of the Hungarian germplasm collection.
While individuals in emerging markets are concerned about climate change, such concerns do not necessarily translate into a willingness to pay for environmental policies. Using rich data for 37 economies, mostly from emerging markets in Europe, the Caucasus, Central Asia and parts of North Africa and the Middle East, we empirically examine correlations with willingness to pay for environmental policies. We show that, beyond ability to pay, people who expect to be better off in the future, who are more patient and who trust the government are all more likely to be willing to pay for policies that mitigate climate change. Our results thus suggest that measures that increase people’s incomes, build trust in government, reduce corruption and increase the transparency and efficiency of government spending could help boost support for green policies. Policies may also receive greater support if they take the form of subsidies, where the costs in terms of higher taxes are less salient.
Parasitic nematodes, particularly those in the Rhabditidae family, are vital components of belowground ecosystems, contributing to pest regulation and sustainable agriculture. This study investigated the chemotactic responses of three nematode species—<i>Phasmarhabditis papillosa</i>, <i>Oscheius myriophilus</i>, and <i>O. onirici</i>—to volatile organic compounds (VOCs) emitted by <i>Brassica nigra</i> roots under herbivory by <i>Delia radicum</i> larvae. Using a chemotaxis assay, the effects of five VOCs (dimethyl sulfide, dimethyl disulfide, allyl isothiocyanate, phenylethyl isothiocyanate, and benzonitrile) were tested at two concentrations (pure and 0.03 ppm) and two temperatures (18 °C and 22 °C). The results revealed that VOCs and temperature significantly influenced nematode responses, while nematode species and VOC concentration showed limited effects. Benzonitrile consistently demonstrated strong chemoattractant properties, particularly for <i>O. myriophilus</i> and <i>O. onirici</i>. Conversely, allyl isothiocyanate exhibited potent nematicidal effects, inhibiting motility and causing mortality. Dimethyl disulfide and dimethyl sulfide elicited moderate to strong attractant responses, with species- and temperature-dependent variations. Significant interactions between VOCs, temperature, and nematode species highlighted the complexity of these ecological interactions. These findings emphasize the ecological roles of VOCs in mediating nematode behavior and their potential applications in sustainable pest management. Benzonitrile emerged as a promising candidate for nematode-based biocontrol strategies, while allyl isothiocyanate showed potential as a direct nematicidal agent. The study underscores the importance of integrating chemical cues into pest management systems to enhance agricultural sustainability and reduce reliance on chemical pesticides.
Gabriela Perković, Josipa Martinović, Gordana Šelo
et al.
Both grape pomace and whey are waste products from the food industry that are rich in valuable ingredients. The utilization of these two by-products is becoming increasingly possible as consumer awareness of upcycling increases. The biological activities of grape pomace extract (GPE) are diverse and depend on its bioavailability, which is influenced by processes in the digestive system. In this work, goat whey protein (GW) was used as the primary coating to protect the phenolic compounds of GPE during the spray drying process. In addition, trehalose (T), sucrose (S), xylose (X), and maltodextrin (MD) were added to the goat whey proteins as co-coatings and protein stabilizers. All spray drying experiments resulted in microcapsules (MC) with a high encapsulation efficiency (77.6–95.5%) and yield (91.5–99.0%) and almost 100% recovery of phenolic compounds during the release test. For o-coumaric acid, the GW-coated microcapsules (MC) showed a bioavailability index of up to 731.23%. A semi-crystalline structure and hydrophilicity were characteristics of the MC coated with 10% T, S, X, or 5% MD. GW alone or in combination with T, S, MD, or X proved to be a promising carrier for polyphenols from grape pomace extract and ensured good bioavailability of these natural antioxidants.
The aspect-based sentiment analysis (ABSA) is a standard NLP task with numerous approaches and benchmarks, where large language models (LLM) represent the current state-of-the-art. We focus on ABSA subtasks based on Twitter/X data in underrepresented languages. On such narrow tasks, small tuned language models can often outperform universal large ones, providing available and cheap solutions. We fine-tune several LLMs (BERT, BERTweet, Llama2, Llama3, Mistral) for classification of sentiment towards Russia and Ukraine in the context of the ongoing military conflict. The training/testing dataset was obtained from the academic API from Twitter/X during 2023, narrowed to the languages of the V4 countries (Czech Republic, Slovakia, Poland, Hungary). Then we measure their performance under a variety of settings including translations, sentiment targets, in-context learning and more, using GPT4 as a reference model. We document several interesting phenomena demonstrating, among others, that some models are much better fine-tunable on multilingual Twitter tasks than others, and that they can reach the SOTA level with a very small training set. Finally we identify combinations of settings providing the best results.
A search is presented for new Higgs bosons in proton-proton (pp) collision events in which a same-sign top quark pair is produced in association with a jet, via the pp→tH/A→ttc‾ and pp→tH/A→ttu‾ processes. Here, H and A represent the extra scalar and pseudoscalar boson, respectively, of the second Higgs doublet in the generalized two-Higgs-doublet model (g2HDM). The search is based on pp collision data collected at a center-of-mass energy of 13 TeV with the CMS detector at the LHC, corresponding to an integrated luminosity of 138fb−1. Final states with a same-sign lepton pair in association with jets and missing transverse momentum are considered. New Higgs bosons in the 200–1000 GeV mass range and new Yukawa couplings between 0.1 and 1.0 are targeted in the search, for scenarios in which either H or A appear alone, or in which they coexist and interfere. No significant excess above the standard model prediction is observed. Exclusion limits are derived in the context of the g2HDM.
Szabolcs Garbóczy, András Mohos, Anikó Égerházi
et al.
Background: Dementia is a significant health issue worldwide. Mild cognitive impairment (MCI) can transform into dementia over time. General practitioners (GPs) may be the first to notice the cognitive deficit; therefore, it is crucial for them to have access to a screening test that can be administered quickly and efficiently. We explored the Hungarian version of the Test Your Memory self-administered dementia screening test in general practice for the early detection of dementia and cognitive impairment. Methods: In the four Hungarian cities with medical universities, 368 patients over the age of 50 attending GPs filled out the questionnaire within the framework of our cross-sectional study. Results: The total scores of the test showed a significant correlation with education and type of occupation and a significant negative correlation with age. The results of this research showed that the clock drawing and recall subtest scores deteriorate at the earliest age. Conclusion: The test can be filled out in a GP’s office easily and two of its subtests can raise the possibility that patients may need further assessment, especially if they have symptoms, at an earlier age than the other subtests.
Anna L Erdei, Aneth B David, Eleni C Savvidou
et al.
Over two decades ago, an intercropping strategy was developed that received critical acclaim for synergizing food security with ecosystem resilience in smallholder farming. The push–pull strategy reportedly suppresses lepidopteran pests in maize through a combination of a repellent intercrop (push), commonly Desmodium spp., and an attractive, border crop (pull). Key in the system is the intercrop’s constitutive release of volatile terpenoids that repel herbivores. However, the earlier described volatile terpenoids were not detectable in the headspace of Desmodium, and only minimally upon herbivory. This was independent of soil type, microbiome composition, and whether collections were made in the laboratory or in the field. Furthermore, in oviposition choice tests in a wind tunnel, maize with or without an odor background of Desmodium was equally attractive for the invasive pest Spodoptera frugiperda. In search of an alternative mechanism, we found that neonate larvae strongly preferred Desmodium over maize. However, their development stagnated and no larva survived. In addition, older larvae were frequently seen impaled and immobilized by the dense network of silica-fortified, non-glandular trichomes. Thus, our data suggest that Desmodium may act through intercepting and decimating dispersing larval offspring rather than adult deterrence. As a hallmark of sustainable pest control, maize–Desmodium push–pull intercropping has inspired countless efforts to emulate stimulo-deterrent diversion in other cropping systems. However, detailed knowledge of the actual mechanisms is required to rationally improve the strategy, and translate the concept to other cropping systems.
Carla A. Gamelas, Nuno Canha, Ana R. Justino
et al.
A biomonitoring study of air pollution was developed in an urban-industrial area (Seixal, Portugal) using leaves of strawberry plants (<i>Fragaria × ananassa</i> Duchesne ex Rozier) as biomonitors to identify the main sources and hotspots of air pollution in the study area. The distribution of exposed strawberry plants in the area was based on a citizen science approach, where residents were invited to have the plants exposed outside their homes. Samples were collected from a total of 49 different locations, and their chemical composition was analyzed for 22 chemical elements using X-ray Fluorescence spectrometry. Source apportionment tools, such as enrichment factors and principal component analysis (PCA), were used to identify three different sources, one geogenic and two anthropogenic (steel industry and traffic), besides plant major nutrients. The spatial distribution of elemental concentrations allowed the identification of the main pollution hotspots in the study area. The reliability of using strawberry leaves as biomonitors of air pollution was evaluated by comparing them with the performance of transplanted lichens by regression analysis, and a significant relation was found for Fe, Pb, Ti, and Zn, although with a different accumulation degree for the two biomonitors. Furthermore, by applying PCA to the lichen results, the same pollution sources were identified.
Enikő Mészáros, Attila Bodor, Etelka Kovács
et al.
Plastics have inundated the world, with microplastics (MPs) being small particles, less than 5 mm in size, originating from various sources. They pervade ecosystems such as freshwater and marine environments, soils, and the atmosphere. MPs, due to their small size and strong adsorption capacity, pose a threat to plants by inhibiting seed germination, root elongation, and nutrient absorption. The accumulation of MPs induces oxidative stress, cytotoxicity, and genotoxicity in plants, which also impacts plant development, mineral nutrition, photosynthesis, toxic accumulation, and metabolite production in plant tissues. Furthermore, roots can absorb nanoplastics (NPs), which are then distributed to stems, leaves, and fruits. As MPs and NPs harm organisms and ecosystems, they raise concerns about physical damage and toxic effects on animals, and the potential impact on human health via food webs. Understanding the environmental fate and effects of MPs is essential, along with strategies to reduce their release and mitigate consequences. However, a full understanding of the effects of different plastics, whether traditional or biodegradable, on plant development is yet to be achieved. This review offers an up-to-date overview of the latest known effects of plastics on plants.
Atta-ur Rahman, Abdullah Alqahtani, Nahier Aldhafferi
et al.
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the most usual cancer in the world, with more than 300,335 deaths every year. The cancerous tumor appears in the neck, oral glands, face, and mouth. To overcome this dangerous cancer, there are many ways to detect like a biopsy, in which small chunks of tissues are taken from the mouth and tested under a secure and hygienic microscope. However, microscope results of tissues to detect oral cancer are not up to the mark, a microscope cannot easily identify the cancerous cells and normal cells. Detection of cancerous cells using microscopic biopsy images helps in allaying and predicting the issues and gives better results if biologically approaches apply accurately for the prediction of cancerous cells, but during the physical examinations microscopic biopsy images for cancer detection there are major chances for human error and mistake. So, with the development of technology deep learning algorithms plays a major role in medical image diagnosing. Deep learning algorithms are efficiently developed to predict breast cancer, oral cancer, lung cancer, or any other type of medical image. In this study, the proposed model of transfer learning model using AlexNet in the convolutional neural network to extract rank features from oral squamous cell carcinoma (OSCC) biopsy images to train the model. Simulation results have shown that the proposed model achieved higher classification accuracy 97.66% and 90.06% of training and testing, respectively.
The recent complications in the weather system, which oftentimes lead to flight cancellation, delay and diversion have become a critical issue in Nigeria. This study however considers the weather related parameters and their impacts on flight disruption in the country. Weather data (on thunderstorm, wind speed and direction, visibility and cloud cover) and flight data (delay, cancellation and diversion) were collected from Murtala International Airport, Ikeja-Lagos, Nigeria. The data covered the period between 2005 and 2020. However, Regional Climate Models (RCMs) were also used to run climate data projections between year 2020 and 2035 in the study region. The study employed Statistical Package for Social Sciences (SPSS) software for the descriptive and inferential analysis. Time series analysis, Pearson Moment Correlation for interrelationship among the weather parameters and the flight disruption data, and multiple linear regression analysis were applied to determine the influence of weather parameters on flight disruption data. Results show that cloud cover and high visibility are negatively correlated. Wind speed has positive relationship with wind direction; and an inverse relationship between visibility, thunderstorm, and fog. Direct relationship exists between highest visibility and thick dust, wind speed and cloud cover. Thick dust, wind speed and cloud cover indicate increased visibility level in the study area. Flight delay is prominent over flight diversion and cancellation, which indicates their relevance in air traffic of the study area. The prediction model indicates high degree of cloud cover at the beginning of every year and later declines sharply in 2035, the visibility flattens out by the year 2025, and low pattern of thick dust was calculated in the same pattern in 2011, 2016 and 2027. Based on this conclusion, the study recommends accurate weather reporting and strict compliance to safety regulations, and attention should be paid to changing pattern of weather parameters in order to minimize fight related disasters.
A concise review of precision measurements in the Higgs sector of the Standard Model (SM) of particle physics is given using ATLAS and CMS data. The results are based on LHC Run-2 data, taken between 2015 and 2018. Impressive progress has been made since the discovery of the Higgs boson in 2012 for measuring all major production and decay modes. Good agreement with the SM predictions was observed in all measurements.
Flightless-I is a unique member of the gelsolin superfamily alloying six gelsolin homology domains and leucine-rich repeats. Flightless-I is an established regulator of the actin cytoskeleton, however, its biochemical activities in actin dynamics are still largely elusive. To better understand the biological functioning of Flightless-I we studied the actin activities of Drosophila Flightless-I by in vitro bulk fluorescence spectroscopy and single filament fluorescence microscopy, as well as in vivo genetic approaches. Flightless-I was found to interact with actin and affects actin dynamics in a calcium-independent fashion in vitro. Our work identifies the first three gelsolin homology domains (1–3) of Flightless-I as the main actin-binding site; neither the other three gelsolin homology domains (4–6) nor the leucine-rich repeats bind actin. Flightless-I inhibits polymerization by high-affinity (∼nM) filament barbed end capping, moderately facilitates nucleation by low-affinity (∼μM) monomer binding, and does not sever actin filaments. Our work reveals that in the presence of profilin Flightless-I is only able to cap actin filament barbed ends but fails to promote actin assembly. In line with the in vitro data, while gelsolin homology domains 4–6 have no effect on in vivo actin polymerization, overexpression of gelsolin homology domains 1–3 prevents the formation of various types of actin cables in the developing Drosophila egg chambers. We also show that the gelsolin homology domains 4–6 of Flightless-I interact with the C-terminus of Drosophila Disheveled-associated activator of morphogenesis formin and negatively regulates its actin assembly activity.
A tanulmány a koronavírus-járvány kapcsán felmerült alkotmányjogi kérdések és aggályok alapján tesz javaslatokat a szabályozás különleges jogrend utáni fejlesztésére, helyreállítására. E körben a tanulmány rámutat a különleges jogrendi rendkívüli intézkedések fontosságára, azok törvényi úton történő ideiglenes megerősítésének igényére, valamint gondolatokat fogalmaz meg a különleges jogrend utáni átfogó szabályozási felülvizsgálathoz.
Political institutions and public administration (General)
Zsolt T. Kosztyán, Anikó Pribojszki-Németh, István Szalkai
Organizing maintenance tasks is a specific and important field of project and production management. Well-planned, properly scheduled, and effectively communicated maintenance tasks result in the accomplishment of more work that is performed more efficiently at a lower cost. In maintenance and production management, agile and lean approaches are becoming more frequently used, where preventive/predictive maintenance (PPM) requires flexible project plans to decide which system components (or equipment) should be maintained to achieve the target system reliability. Maintenance projects have been treated as fixed sequences of corrective/preventive tasks, while the agile/lean approach allows for and usually requires prioritizing tasks and reorganizing the project structure. The fixed structure of maintenance projects and traditional maintenance project scheduling algorithms are not considered representative of these agile properties. The paper models the preventive resource-constrained maintenance project scheduling problem and aims at optimizing its maintainability. A matrix-based algorithm is proposed to apply to both system and project structures that include both traditional and agile/lean project management approaches. Keywords: Maintenance management, Project management, Scheduling, Agile/lean approach, Flexibility