Zamyšlení nad transformací státního vlastnictví
Proces, který je v hrubých rysech přiblížen v předložené stati, je procesem převážně kvantitativního rázu. Zjednodušeně, a tudíž ne tak doslova, vyjádřeno v dramatické reakci na minulý společenský vývoj, při němž bylo zestátněno "kde co", vede současná ...
Petr Havlan
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Leč, kde je oblouk? Co chtěl spojit?
Dealing with the reworking of Holan’s neo-symbolist trilogy, i.e. the collections Vanutí (Breezing, 1932), Oblouk (The Arch, 1934) and Kameni, přicházíš… (You are coming, stone, 1937), I compare the first edition of them with their ...
Hana Šimková
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IGH gene rearrangement and IGK-Kde gene deletion can be used as molecular markers for the assessment of B lineage acute lymphoblastic leukemia (B-ALL).
S. Besbes +8 more
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Kde je priestor? (Where is a Space?)
The paper is an excerpt of prepared book concerning introduction to systematic epistemology. Author analyses some historical views on space (myth, Plato, Aristotle, Descartes, Kant etc.), and shows some epistemic position through chosen space conceptions.
Andrej Démuth
doaj
Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction. [PDF]
Ma H +4 more
europepmc +1 more source
Integrating Line Transect Distance Sampling and Spatial Analysis to Assess Local Density and Habitat Use of <i>Capra aegagrus</i> in Batman Province, Türkiye. [PDF]
Yıldırım E, Ulutürk S.
europepmc +1 more source
A kernel density estimation-based approach for quantifying O-GlcNAcylation dysregulation in cancer from gene expression data. [PDF]
Stojšin R, Wang J, Liu H.
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Kde hledat příčiny přeplněných věznic
In the past 10 years, the number of prisoners increased rapidly from 13,000 to 20,500 and the insufficient capacity of prisons became a serious problem. The study shows that the main reasons for the overcrowding of prisons are the immense increase of the probability that a detained offender is convicted together with the increase of the share of ...
openaire +1 more source
NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation. [PDF]
Ghayem F +4 more
europepmc +1 more source
Hybrid deep learning and optimized variational mode decomposition for point-interval runoff prediction. [PDF]
Ma H +3 more
europepmc +1 more source

