Suchergebnisse

Croatia becomes the newest star of the European Union in year 2013 which event has already been equal to a quiet difficult task for the country and at the same time for its country image recently, and will mean the same during the brand-new episode in the life of Croatia beginning with its accession to the European Union. Conscious development and constant cultivation of the country image are prominent tasks for all countries of today, the 21st century, as the transformations of the end of the last century, births and rebirths of new countries have resulted an extremely hard situation in the nations' competition for the tourists, the investors, the export, or even for the recognition and positive judgement of Europe, thus the European Union. Croatia's country brand is a specific one as it is built up of really sensitive elements, while in its centre there is a nation that used to be part of series of confederations during its history, adapting or not adapting to the actual one in each period; and from the year 2013 it has to find its place in the European Union.

In September 1989, a four-year-old girl, Anikó O., disappeared from a flat-house in Komló. The authorities were searching her for three days. On the fourth day, her stabbed body was found in one of the basement storerooms of the flat-house. The systematic, thorough investigation brought success after one week. The authorities identified the perpetrator, who lived in the flat-house. She also made a full confession. Besides, many hard evidence and expert opinion supported her guilt. The court did not have any doubt, and the punishment was severe.

The case of Simek Kitty garnered a lot of interest in the media between 2002 and 2005. The fourteen-year-old girl, who endured her stepfather's physical, verbal, and sexual abuse for ten years, one day shot the aggressive man with his own weapon. Although the court sentenced the young girl for her deed, the President of the Republic gave her amnesty, so she did not have to go to jail after all. However, her life turned even worse after the incident. In my study, I examine why the events turned out the way they did and how the tragedy could have been avoided.

In the beginning of the year 1837, the hunt started to catch Jóska Sobri, the famous Hungarian outlaw, and his gang. The then palatine ordered military forces to track them down and promised high reward for capturing them. The outlaw gang was hiding in Bakony Forest and had little chance against the soldiers. Not even Sobri and his closest fellow gang members could slip through the territory encircled by the authorities in Tolna County, close to Lápafő, on 17 February 1837. In the gunfight, Sobri has most probably died, but this has never been proven. He disappeared, and the myth was born in outlaw folklore, according to which he is alive even nowadays. Recently, a movie has been produced about his life, and there is also an adventure park in Bakony Forest named after him.

On 9 May 2002, eight people were killed in a bank robbery in Erste Bank's branch in Mór. The serious crime has put tremendous pressure on the public to find the perpetrators as soon as possible. About a month and a half after the crime had been committed, Ede Kaiser and László Hajdú were arrested on 24 July 2002 – they were reasonably suspected of committing the bank robbery, according to the police. Based on the evidence gathered, they were charged in December 2003 and convicted a year later. In 2007, however, new evidence emerged, the weapons used in the crime were found and led to the real perpetrators. The innocent convict was acquitted in November 2009 in a retrial. The study shows what factors may have led to the wrong judgment. Thus, it covers the dangers of hot pursuit and the benefits of raster investigation, which could have identified the real perpetrators much sooner.

Over the past few decades, Lifelong Learning has developed into the most important pedagogic paradigm in Europe. At the same time, it has also become a generic term for the reform ideas of the European Union. Ever since the European Year of Lifelong Learning in 1996, this paradigm has been regarded as the most effective way to deal with the rapid social, political and economic changes of the modern world. With the introduction of the Lisbon Process in 2000 to create "the most competitive and dynamic knowledge-based economy in the world," Lifelong Learning has become even more significant. Although this aim has not been achieved, the EU has been endeavouring to generate "smart, sustainable, inclusive growth" since 2010 with its new agenda Europe 2020, thus strengthening the coordination of national and European policies. The idea of Lifelong Learning still plays a great role. This study analyses the reception of the European reform debate about Lifelong Learning in the educational scholarly discourse of two EU member states: Germany, representing the "old Europe", and Hungary, the "new Europe". The focus is on the 1996–2005 period – between the European Year of Lifelong Learning and the halfway point of the Lisbon Process – when EU states attempted to implement the idea of Lifelong Learning in their national educational systems. There are two main discourse lines about Lifelong Learning: (educational) policy and scholarly. The educational scholarly discourse not only reflects the European and national discourse about Lifelong Learning, but also endeavours to find compatibilities between European and German/Hungarian traditions, policy aims and research topics. The study analyses 49 articles about Lifelong Learning in ten volumes of seven educational scholarly journals in Germany and Hungary, which represent three scholarly areas in the field of education: general education, school pedagogy and adult education. Using a three-step "perception – interpretation – adaptation" analysis, it shows the similarities and differences in the German and Hungarian adaptations and the most important influencing factors. As a result, the similarities in the educational debate within these two countries can be traced back to the standardizing effects of EU (educational) policy activities. The differences stem from the different geographical and political situations, durations of EU membership, political and economic traditions after 1945 and structures of the two education systems. ; A tanulmány az Európai Unió Lifelong Learning-koncepciójának adaptációját hasonlítja össze két uniós tagország neveléstudományi vitájában: Németországban, ami a "régi Európát" és Magyarországon, ami az "új Európát" reprezentálja. Az "észrevétel-értelme-zés-adaptáció" többlépcsős elemzési séma segítségével egyrészt feltárja az EU-kon-cepció német és magyar adaptációjának hasonlóságait és különbségeit, valamint be-mutatja és elemzi az azokat befolyásoló legfontosabb tényezőket.

A Hungarian Comparative Agendas Project (CAP) az MTA TK Politikatudományi Intézetében működik, célja a magyar közpolitika dinamikájának feltárása a különböző közpolitikai és politikai napirendek kvantitatív társadalomtudományi eszközökkel történő vizsgálatával. Mindehhez az Egyesült Államokban Frank Baumgartner és Bryan Jones nevével fémjelzett Policy Agendas Project közpolitikai tartalomelemző kódkönyvét adaptálja hazai környezetben. A kutatás azt célozza, hogy konzisztens adatbázist hozzon létre a magyar közpolitikai folyamatok meghatározó aktorai – így a parlament, a média és a közvélemény szereplői – számára meghatározó ügyekről. A mérések megbízhatóságát az egyértelműen megszabott, koherens kódolási szabályok garantálják, amelyek révén a kormányzat prioritásainak változásai időben és közpolitikai területenként konzisztens módon nyomon követhetők. A Költségvetések és zárszámadások (1991-2013) adatbázis az 1991 és 2013 közötti évekre vonatkozó elfogadott magyar költségvetésekről és zárszámadásokról nyújt tájékoztatást. Az adatbázisban szereplő legfontosabb változók az alábbiakra terjednek ki: a költségvetési év, amelyben a költségvetési elem hatályban volt (year), a költségvetési és zárszámadási elemek közpolitikai tartalma (majortopic és subtopic), az "előirányzatcsoport" neve (appropriation_group), a "kiemelt előirányzat" neve (headline_appropriation), a kiadási tétel költségvetési értéke a végleges elszámolás szerint (expenditure), valamint a bevételi tétel költségvetési értéke a végleges elszámolás szerint (revenue). Az adatbázis a későbbiekben a 2014-2018 között, valamint az 1990 előtt elfogadott dokumentumokkal is kiegészül. A kutatás honlapja:https://cap.tk.mta.hu/en

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1431.

The President of Croatia is elected to a five-year term by a direct vote of all citizens, with a majority vote required to win. Since Croatia's independence the country has got three elected presidents. The first presidential election was held on 2 August 1992 and resulted in victory for Franjo Tuđman of the HDZ, who received 57.8 percent of the vote in the first round of the election. Tuđman introduced a semi-presidential system and won the second term in 1997. The next two presidential elections took place in 2000 and in 2005 and Stjepan Mesić, the candidate of the Croatian People's Party won the office. In 2010 Ivo Josipović became the 3rd President of Croatia, becoming the first social democratic president since the independence of the country. On 11th January 2015, in the second round Croatians people elected Kolinda Grabar-Kitarović a member of the center-right Croatian Democratic Union (HDZ) as the new President of the Republic of Croatia. Her main opponent in the runoff was the outgoing president Ivo Josipović nominated by the center-left Social Democratic Party (SDP) and supported by the government's parties. This election gathers a lot of records: for the first time a woman has been elected President, for the first time the outgoing President is not confirmed for a second mandate and Grabar-Kitarović is the first HDZ 's President after Tuđman. In addition the presidential election regarded as the foreplay to the more pressing and important upcoming November parliamentary election and there could be lots of changes at political level.

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1388. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.

The peace treaty that was signed by the representatives of the Hungarian government at the Grand Trianon Palace in Versailles on the 4th June 1920, closed the hostilities between the warring parties, and with its 364 articles, it recorded the severe conditions of peace, striking on the defeated Hungary. The peace agreement has not yet become effective with the signing ceremony. The enactment, ratification and sanction of the signed treaty were just ahead. Since the peace treaty was among the international agreements that came in force only after the ratification – and the implementation could also be demanded after the act – the Hungarian party done all to ensure that the ratification take place as late as possible. They wanted to achieve their limited revisionist goals during this period. However, the victorious powers urged the prompt ratification. It was more than a year process from the beginning of the ratification till the peace agreement entered into force which period can be divided into two major clearly separable phases. The first phase lasted from the signing of the peace treaty on 4 June 1920 till 26 October 1920 with its submission to the National Assembly. The second phase includes parliamentary debates and the ratification itself lasting until 26 July 1921, the exchanging of the ratification documents. The size of the subject made it necessary to present the events of the two periods in two separate studies. Thus, the present study describes and analyzes the events of the first period. The essay gives full details of the ratification as an international norm, covering the codification position of Hungary and the Little Entente states and, relating to the victorious powers efforts. The document gives a detailed analyzes of the great powers's policy which finally forced the Hungarian government to submit the ratification of the Trianon Peace Treaty to the National Assembly.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.

One of the biggest problems of game management is game damage which goes to great expense. It has been increasing since 1994 countrywide. In the last hunting year more than 1600 million HUF were paid nationwide for it. Nearly 10% of it was paid by the largest game manager company the SEFAG Inc. in Somogy county. According to various literary sources the reason of forest- and agricultural damage is the increasing number of deer and wild boar. In spite of it we suppose that game damage is influenced by other factors. We set examining these factors as an aim with the help of the methods of statistic and operative research. We have the basic pieces of information from the data base of the two forestries of SEFAG Inc. In the two forestries the amount of game damage, the number of the cases and the amount of missing crop grew. The quantity of damaged fields shows a downward tendency in the case of Kaposvár Forestry. There is a strong connection between the game damage cases and the amount of game damage. Per capita the game damage rose in the Kaposvár Forestry while in Zselic Forestry it fell. Examining the measurement of the fields we came to the conclusion that in most cases the majority of game damage falls to the areas with less than 5 ha. While the amount of game damage and the missing crop – depending on the forestries – are the largest in the cases of the areas with more than 10 ha. There is an inverse relationship between the plot size and the number of the cases, a medium inverse relationship between the plot size and the amount of game damage and a weak inverse correlation between the plot size and the missing crops. ; A vadgazdálkodás egyik legnagyobb problémája a nagy kiadásokat jelentő vadkár, amely 1994 óta országos szinten nő. Az elmúlt vadászati évben az országosan kifizetett összes vadkár több mint 1,6 milliárd Ft volt. Ennek közel 10%-át fizette Somogy megye legnagyobb vadgazdálkodója a SEFAG Zrt. Több irodalmi forrás szerint az erdei- és mezőgazdasági kár oka a túlszaporodott szarvas- és vaddisznóállomány. Ennek ellenére feltételezhető, hogy a vadkárt más tényezők is befolyásolják. Ezek vizsgálatát tűztük ki célul, a statisztika és az operáció kutatás módszereinek segítségével a SEFAG Zrt. Kaposvári és Zselici erdészeténél. Mindkét erdészetnél nőtt a vadkár összege, az esetek száma és a vadkár által kiesett termény mennyisége. A károsított parcellák mennyisége azonban a Kaposvári Erdészet esetében csökkenő tendenciát mutat. A vadkár esetek és a vadkár összege között szoros összefüggés van. Az egy hektárra vetített vadkár (q/ha, Ft/ha) a Kaposvári Erdészetnél nőtt, míg a Zselicinél csökkenő tendenciát mutat. A parcellaméret nagyságát vizsgálva arra a következtetésre jutottunk, hogy a vadkár esetek többsége az 5 hektárnál kisebb területekre esik, míg a vadkár összege és a kiesett termés mennyisége – erdészettől függően – a 10 hektár feletti területeken a legnagyobb. A parcellák nagysága az esetek számával ellentétes kapcsolatban van, a vadkár összegével közepes, míg a kiesett termény mennyiségével gyenge ellentétes kapcsolatot mutat.