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Institution

Katholieke Universiteit Leuven

EducationLeuven, Belgium
About: Katholieke Universiteit Leuven is a education organization based out in Leuven, Belgium. It is known for research contribution in the topics: Population & Context (language use). The organization has 61109 authors who have published 176584 publications receiving 6210872 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper surveys the research in the area of Web mining, point out some confusions regarded the usage of the term Web mining and suggest three Web mining categories, which are then situate some of the research with respect to these three categories.
Abstract: With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. The Web mining research is at the cross road of research from several research communities, such as database, information retrieval, and within AI, especially the sub-areas of machine learning and natural language processing. However, there is a lot of confusions when comparing research efforts from different point of views. In this paper, we survey the research in the area of Web mining, point out some confusions regarded the usage of the term Web mining and suggest three Web mining categories. Then we situate some of the research with respect to these three categories. We also explore the connection between the Web mining categories and the related agent paradigm. For the survey, we focus on representation issues, on the process, on the learning algorithm, and on the application of the recent works as the criteria. We conclude the paper with some research issues.

1,699 citations

Book ChapterDOI
01 Jan 2013
TL;DR: The World Reference Base for Soil Resources (WRB) is an international soil classification system for naming soils and creating legends for soil maps as discussed by the authors, which has two hierarchical levels: the first level presents 32 Reference Soil Groups (RSGs), which are identified using a key.
Abstract: World Reference Base for Soil Resources (WRB) is an international soil classification system for naming soils and creating legends for soil maps. It is edited by a Working Group of the International Union of Soil Sciences (IUSS). The currently valid edition is the update 2015 of the third edition 2014. WRB has two hierarchical levels: The first level presents 32 Reference Soil Groups (RSGs), which are identified using a key. RSGs are groups of soils that have undergone similar pedogenesis or have been formed from similar parent material or represent major ecological regions. In the second level, the soil names are constructed by adding a set of qualifiers to the name of the RSG. For the second level, 185 qualifiers are defined. Some can be combined with many RSGs, others with only a few or even with just one. The qualifiers available for use with a particular RSG are listed in the key, along with the RSG. They are divided into principal and supplementary qualifiers. The principal qualifiers are regarded to be the most significant for the further characterization of soils of the particular RSG. They are ranked and given in an order of importance. The supplementary qualifiers are not ranked but used in alphabetical order. The definitions of RSGs and qualifiers are to a certain extent based on diagnostics: Diagnostic materials are materials that significantly influence pedogenic processes. Diagnostic properties are typical results of soil-forming processes or reflect special conditions of soil formation. Diagnostic horizons are typical results of soil-forming processes, but with a minimum thickness and therefore recognizable as horizontal layers. For naming a soil, all applying qualifiers must be listed in the soil name. For map legends, generalization is required, and the number of qualifiers depends on the scale and the purpose of the map. Qualifiers may be combined with specifiers to form subqualifiers for a further speciation of the qualifiers. WRB provides codes for the RSGs, qualifiers, and specifiers and syntax rules for the combination of the codes. At the end of this article, examples are provided for naming soils and creating map legends, including the use of codes.

1,690 citations

Journal ArticleDOI
Valerie Wood1, R. Gwilliam1, Marie-Adèle Rajandream1, M. Lyne1, Rachel Lyne1, A. Stewart2, J. Sgouros2, N. Peat2, Jacqueline Hayles2, Stephen Baker1, D. Basham1, Sharen Bowman1, Karen Brooks1, D. Brown1, Steve D.M. Brown1, Tracey Chillingworth1, Carol Churcher1, Mark O. Collins1, R. Connor1, Ann Cronin1, P. Davis1, Theresa Feltwell1, Andrew G. Fraser1, S. Gentles1, Arlette Goble1, N. Hamlin1, David Harris1, J. Hidalgo1, Geoffrey M. Hodgson1, S. Holroyd1, T. Hornsby1, S. Howarth1, Elizabeth J. Huckle1, Sarah E. Hunt1, Kay Jagels1, Kylie R. James1, L. Jones1, Matthew Jones1, S. Leather1, S. McDonald1, J. McLean1, P. Mooney1, Sharon Moule1, Karen Mungall1, Lee Murphy1, D. Niblett1, C. Odell1, Karen Oliver1, Susan O'Neil1, D. Pearson1, Michael A. Quail1, Ester Rabbinowitsch1, Kim Rutherford1, Simon Rutter1, David L. Saunders1, Kathy Seeger1, Sarah Sharp1, Jason Skelton1, Mark Simmonds1, R. Squares1, S. Squares1, K. Stevens1, K. Taylor1, Ruth Taylor1, Adrian Tivey1, S. Walsh1, T. Warren1, S. Whitehead1, John Woodward1, Guido Volckaert3, Rita Aert3, Johan Robben3, B. Grymonprez3, I. Weltjens3, E. Vanstreels3, Michael A. Rieger, M. Schafer, S. Muller-Auer, C. Gabel, M. Fuchs, C. Fritzc, E. Holzer, D. Moestl, H. Hilbert, K. Borzym4, I. Langer4, Alfred Beck4, Hans Lehrach4, Richard Reinhardt4, Thomas M. Pohl5, P. Eger5, Wolfgang Zimmermann, H. Wedler, R. Wambutt, Bénédicte Purnelle6, André Goffeau6, Edouard Cadieu7, Stéphane Dréano7, Stéphanie Gloux7, Valerie Lelaure7, Stéphanie Mottier7, Francis Galibert7, Stephen J. Aves8, Z. Xiang8, Cherryl Hunt8, Karen Moore8, S. M. Hurst8, M. Lucas9, M. Rochet9, Claude Gaillardin9, Victor A. Tallada10, Victor A. Tallada11, Andrés Garzón11, Andrés Garzón10, G. Thode10, Rafael R. Daga10, Rafael R. Daga11, L. Cruzado10, Juan Jimenez11, Juan Jimenez10, Miguel del Nogal Sánchez12, F. del Rey12, J. Benito12, Angel Domínguez12, José L. Revuelta12, Sergio Moreno12, John Armstrong13, Susan L. Forsburg14, L. Cerrutti1, Todd M. Lowe15, W. R. McCombie16, Ian T. Paulsen17, Judith A. Potashkin18, G. V. Shpakovski19, David W. Ussery20, Bart Barrell1, Paul Nurse2 
21 Feb 2002-Nature
TL;DR: The genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote, is sequenced and highly conserved genes important for eukARYotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing are identified.
Abstract: We have sequenced and annotated the genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote: 4,824. The centromeres are between 35 and 110 kilobases (kb) and contain related repeats including a highly conserved 1.8-kb element. Regions upstream of genes are longer than in budding yeast (Saccharomyces cerevisiae), possibly reflecting more-extended control regions. Some 43% of the genes contain introns, of which there are 4,730. Fifty genes have significant similarity with human disease genes; half of these are cancer related. We identify highly conserved genes important for eukaryotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing. These genes may have originated with the appearance of eukaryotic life. Few similarly conserved genes that are important for multicellular organization were identified, suggesting that the transition from prokaryotes to eukaryotes required more new genes than did the transition from unicellular to multicellular organization.

1,686 citations

Journal ArticleDOI
TL;DR: Among patients with platinum-sensitive, recurrent ovarian cancer, the median duration of progression-free survival was significantly longer amongThose receiving niraparib than among those receiving placebo, regardless of the presence or absence of gBRCA mutations or HRD status, with moderate bone marrow toxicity.
Abstract: Tesaro; Amgen; Genentech; Roche; AstraZeneca; Myriad Genetics; Merck; Gradalis; Cerulean; Vermillion; ImmunoGen; Pfizer; Bayer; Nu-Cana BioMed; INSYS Therapeutics; GlaxoSmithKline; Verastem; Mateon Therapeutics; Pharmaceutical Product Development; Clovis Oncology; Janssen/Johnson Johnson; Eli Lilly; Merck Sharp Dohme

1,686 citations

Journal ArticleDOI
TL;DR: Data is presented on the prevalence, impairment and demographic correlates of depression from 18 high and low- to middle-income countries in the World Mental Health Survey Initiative to investigate the combination of demographic risk factors that are most strongly associated with MDE in the specific countries included in the WMH.
Abstract: Major depression is one of the leading causes of disability worldwide, yet epidemiologic data are not available for many countries, particularly low- to middle-income countries. In this paper, we present data on the prevalence, impairment and demographic correlates of depression from 18 high and low- to middle-income countries in the World Mental Health Survey Initiative. Major depressive episodes (MDE) as defined by the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DMS-IV) were evaluated in face-to-face interviews using the World Health Organization Composite International Diagnostic Interview (CIDI). Data from 18 countries were analyzed in this report (n = 89,037). All countries surveyed representative, population-based samples of adults. The average lifetime and 12-month prevalence estimates of DSM-IV MDE were 14.6% and 5.5% in the ten high-income and 11.1% and 5.9% in the eight low- to middle-income countries. The average age of onset ascertained retrospectively was 25.7 in the high-income and 24.0 in low- to middle-income countries. Functional impairment was associated with recency of MDE. The female: male ratio was about 2:1. In high-income countries, younger age was associated with higher 12-month prevalence; by contrast, in several low- to middle-income countries, older age was associated with greater likelihood of MDE. The strongest demographic correlate in high-income countries was being separated from a partner, and in low- to middle-income countries, was being divorced or widowed. MDE is a significant public-health concern across all regions of the world and is strongly linked to social conditions. Future research is needed to investigate the combination of demographic risk factors that are most strongly associated with MDE in the specific countries included in the WMH.

1,681 citations


Authors

Showing all 61602 results

NameH-indexPapersCitations
Eugene Braunwald2301711264576
Joseph L. Goldstein207556149527
Rakesh K. Jain2001467177727
Stefan Schreiber1781233138528
Masayuki Yamamoto1711576123028
Jun Wang1661093141621
David R. Jacobs1651262113892
Klaus Müllen1642125140748
Peter Carmeliet164844122918
Hua Zhang1631503116769
William J. Sandborn1621317108564
Elliott M. Antman161716179462
Tobin J. Marks1591621111604
Ian A. Wilson15897198221
Johan Auwerx15865395779
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023307
2022857
202111,007
202010,541
20199,719
20189,532