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  • Training and employment: Information and knowledge flows between training institutions and employers
    31-48
    Views:
    38

    For a region's economy to develop, it is essential to develop integrated forms of operation that manage the available resources efficiently. This is particularly true in a border micro-region with a predominantly small population, where for decades farming has been essentially based on agricultural subsistence and employment opportunities have been limited. Matching the employment and training structure, balancing supply and demand in the training and employment system can also be beneficial for the economic and social development of a disadvantaged micro-region. The development of border micro-regions was seriously handicapped before the change of regime. Small and medium-sized settlements on both sides of the border were depopulated and their inhabitants were ageing. Over the past few years, regional development has been based on local needs and existing resources, resulting in the creation of nearly 2 500 small and medium-sized enterprises in 21 municipalities in the Érmellék sub-region, where the research is located. However, the economic and employment functions of the organisations created can only be developed if the specialist needs of the businesses are met in the right quantity and quality structure.

  • Social media communication in the digital medical space: A #cysticfibrosis és a #Asthma Big Data összehasonlító elemzése
    143-180.
    Views:
    31

    In the environment of 21st century technology, the transformation of information acquisition
    of health care and patients has had an increasing emphasis. Despite the earlier authoritative
    doctor-patient relationship, a need for an equal, cooperation-based communication has emerged
    and there are so many digital healthcare projects to achieve this (Koskova 2015).
    Information acquisition on the internet has allowed patients that based on the increasingly
    available medical information they acquire information about their condition, become part of
    patient communities, ask for second opinions, and become committed helpers of their doctors in
    their disease (Meskó et. al 2017).
    This can be especially true for patients with rare diseases, where a diagnosis might take even
    a decade, the patient needs lifelong condition maintenance and treatment, if it is available. While the proportion of patients with rare diseases is low compared to the whole of society, the number of such patients is approximately 30 million in Europe (EURORDIS), which means patients
    and their relatives need not only a harmonized health care system, but extensive information so
    that they can live with the rare disease with less difficulty.
    The aim of our study was to present the options of information acquisition in the social
    media, focusing on Twitter, via an interdisciplinary and social approach. In this study therefore
    we carried out a Big Data based social media analysis based on #Asthma and #CysticFibrosis
    databases of the Symplur corporation. This study results contain the complete online communication of 7 years (2012-2019) regarding these hashtags. The analysis has few levels including
    semantic research, stakeholder and hashtag review, engagement, and the whole tweet activity
    exploration.