Publications by authors named "P D Mezei"

Histiocytic sarcoma is an uncommon hematological malignancy. Its occurrence in the lung is very rare. Due to the small number of cases and the clinical and pathological features of the disease, the diagnosis can be challenging.

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Introduction and objective: Hemothorax is an umbrella term for pathologies with an extremely wide range of etiology and severity. Most commonly it is of tramuatic origin, frequently iatrogenic (intervention, blood coagulation altering therapy) and rarely unknown. Depending on the cause, volume, and dynamics, it requires a patient-adapted treatment determined by access to certain therapeutical methods.

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Article 5 of the 2019 EU Directive on Copyright in the Digital Single Market (CDSM) attempted to modernize the regime of copyright exceptions and limitations related to teaching activities. Its aim is to enhance the flexibility behind permitted uses to the benefit of educational institutions regarding their digital and cross-border teaching. The pressing need for such a legislative reform was confirmed by the outbreak of the COVID-19 pandemic, which dramatically moved teaching environments to online platforms.

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Article Synopsis
  • The study analyzes the impact of natural forest exploitation and protected areas on habitat networks across 16 regions worldwide.
  • Conservation effectiveness varies significantly, influenced by factors like habitat quality and resource extraction within protected zones, leading to a predominance of negative over positive effects.
  • Despite existing knowledge and tools, trends in biodiversity conservation appear to be declining, emphasizing the need for better segregation of conservation efforts and resource use.
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We present noncovalent quantum machine learning corrections to six physically motivated density functionals with systematic errors. We demonstrate that the missing massively nonlocal and nonadditive physical effects can be recovered by quantum machine learning models. The models seamlessly account for various types of noncovalent interactions and enable accurate predictions of dissociation curves.

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