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Institution

Charles University in Prague

EducationPrague, Czechia
About: Charles University in Prague is a education organization based out in Prague, Czechia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 32392 authors who have published 74435 publications receiving 1804208 citations.


Papers
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Journal ArticleDOI
TL;DR: The data suggest that many categories of spine pathology may result not from intrinsic pathologies of the spiny neurons, but from a compensatory response of these neurons to the loss of excitatory input to dendritic spines.

798 citations

Journal ArticleDOI
TL;DR: The recommendations of the present document represent the best clinical wisdom upon which physicians, nurses and families should base their decisions and should encourage public policy makers to develop a global effort to improve identification and treatment of high blood pressure among children and adolescents.
Abstract: Increasing prevalence of hypertension (HTN) in children and adolescents has become a significant public health issue driving a considerable amount of research. Aspects discussed in this document include advances in the definition of HTN in 16 year or older, clinical significance of isolated systolic HTN in youth, the importance of out of office and central blood pressure measurement, new risk factors for HTN, methods to assess vascular phenotypes, clustering of cardiovascular risk factors and treatment strategies among others. The recommendations of the present document synthesize a considerable amount of scientific data and clinical experience and represent the best clinical wisdom upon which physicians, nurses and families should base their decisions. In addition, as they call attention to the burden of HTN in children and adolescents, and its contribution to the current epidemic of cardiovascular disease, these guidelines should encourage public policy makers to develop a global effort to improve identification and treatment of high blood pressure among children and adolescents.

795 citations

Journal ArticleDOI
TL;DR: Screening for inflammatory and neurodegenerative processes in depression will allow to discover new I&ND biomarkers, both at the level of gene expression and the phenotype, and elucidate the underlying molecular I &ND pathways causing depression; identify new therapeutic targets in the I& ND pathways; develop new anti-I&ND drugs for these targets; and select existingAnti-I &ND drugs or substances that could augment the efficacy of antidepressants.
Abstract: Despite extensive research, the current theories on serotonergic dysfunctions and cortisol hypersecretion do not provide sufficient explanations for the nature of depression. Rational treatments aimed at causal factors of depression are not available yet. With the currently available antidepressant drugs, which mainly target serotonin, less than two thirds of depressed patients achieve remission. There is now evidence that inflammatory and neurodegenerative (IN established and novel animal and ex vivo-in vitro models for depression, such as new transgenic mouse models and endophenotype-based animal models, specific cell lines, in vivo and ex vivo electroporation, and organotypic brain slice culture models. This screening will allow to: 1) discover new IN and elucidate the underlying molecular IN and 2) identify new therapeutic targets in the IN develop new anti-IN select existing anti-IN and predict therapeutic response by genetic I&ND profiles.

794 citations

Journal ArticleDOI
TL;DR: New combinations for accepted species presently lacking an Aspergillus name are introduced and an updated accepted species list for the genus is provided, now containing 339 species.

793 citations

Journal ArticleDOI
TL;DR: The natural conjecture, formulated in several sources, asserts that the H-coloring problem is NP-complete for any non-bipartite graph H, and a proof of this conjecture is given.

791 citations


Authors

Showing all 32719 results

NameH-indexPapersCitations
Ronald C. Petersen1781091153067
P. Chang1702154151783
Vaclav Vrba141129895671
Milos Lokajicek139151198888
Christopher D. Manning138499147595
Yves Sirois137133495714
Rupert Leitner136120190597
Gerald M. Reaven13379980351
Roberto Sacchi132118689012
S. Errede132148198663
Mark Neubauer131125289004
Peter Kodys131126285267
Panos A Razis130128790704
Vit Vorobel13091979444
Jehad Mousa130122686564
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023203
2022554
20214,838
20204,793
20194,421
20183,991