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Institution

University of Antwerp

EducationAntwerp, Belgium
About: University of Antwerp is a education organization based out in Antwerp, Belgium. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 16682 authors who have published 48837 publications receiving 1689748 citations. The organization is also known as: Universiteit Antwerpen & UAntwerp.


Papers
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Journal ArticleDOI
TL;DR: From the experiments, it is concluded that AST methods enhance cake dewaterability in two ways: they degrade EPS proteins and polysaccharides reducing the EPS water retention properties; and they promote flocculation which reduces the amount of fine flocs.

671 citations

Journal ArticleDOI
Sadaf G. Sepanlou1, Saeid Safiri2, Catherine Bisignano3, Kevin S Ikuta4  +198 moreInstitutions (106)
TL;DR: Mortality, prevalence, and DALY estimates are compared with those expected according to the Socio-demographic Index (SDI) as a proxy for the development status of regions and countries, and a significant increase in age-standardised prevalence rate of decompensated cirrhosis between 1990 and 2017.

670 citations

Journal ArticleDOI
TL;DR: The Nosology is a hybrid between a list of clinically defined disorders, waiting for molecular clarification, and an annotated database documenting the phenotypic spectrum produced by mutations in a given gene.
Abstract: Genetic disorders involving the skeletal system arise through disturbances in the complex processes of skeletal development, growth and homeostasis and remain a diagnostic challenge because of their variety. The Nosology and Classification of Genetic Skeletal Disorders provides an overview of recognized diagnostic entities and groups them by clinical and radiographic features and molecular pathogenesis. The aim is to provide the Genetics, Pediatrics and Radiology community with a list of recognized genetic skeletal disorders that can be of help in the diagnosis of individual cases, in the delineation of novel disorders, and in building bridges between clinicians and scientists interested in skeletal biology. In the 2010 revision, 456 conditions were included and placed in 40 groups defined by molecular, biochemical, and/or radiographic criteria. Of these conditions, 316 were associated with mutations in one or more of 226 different genes, ranging from common, recurrent mutations to “private” found in single families or individuals. Thus, the Nosology is a hybrid between a list of clinically defined disorders, waiting for molecular clarification, and an annotated database documenting the phenotypic spectrum produced by mutations in a given gene. The Nosology should be useful for the diagnosis of patients with genetic skeletal diseases, particularly in view of the information flood expected with the novel sequencing technologies; in the delineation of clinical entities and novel disorders, by providing an overview of established nosologic entities; and for scientists looking for the clinical correlates of genes, proteins and pathways involved in skeletal biology. © 2011 Wiley-Liss, Inc.

669 citations

Journal ArticleDOI
TL;DR: The ASTRA Toolbox provides an extensive set of fast and flexible building blocks that can be used to develop advanced reconstruction algorithms, effectively removing limitations in the geometrical parameters of the acquisition model and the algorithms used for reconstruction.

668 citations

Journal ArticleDOI
TL;DR: The stress-induced morphogenic response (SIMR) is postulated to be part of a general acclimation strategy, whereby plant growth is redirected to diminish stress exposure.

667 citations


Authors

Showing all 16957 results

NameH-indexPapersCitations
Cornelia M. van Duijn1831030146009
John Hardy1771178171694
Mark Gerstein168751149578
Hannes Jung1592069125069
Rui Zhang1512625107917
Dirk Inzé14964774468
Walter Paulus14980986252
Robin Erbacher1381721100252
Rupert Leitner136120190597
Alison Goate13672185846
Andrea Giammanco135136298093
Maria Spiropulu135145596674
Peter Robmann135143897569
Michael Tytgat134144994133
Matthew Herndon133173297466
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023137
2022460
20213,656
20203,332
20192,982
20182,844