133,674 research outputs found
Using self-organizing maps to investigate environmental factors regulating colony size and breeding success of the White Stork (Ciconia ciconia)
No full textWe studied variations in the size of breeding colonies and in breeding performance of White Storks Ciconia ciconia in 2006–2008 in north-east Algeria. Each colony site was characterized using 12 environmental variables describing the physical environment, land-cover categories, and human activities, and by three demographic parameters: the number of breeding pairs, the number of pairs with chicks, and the number of fledged chicks per pair. Generalized linear mixed models and the self-organizing map algorithm (SOM, neural network) were used to investigate effects of biotic, abiotic, and anthropogenic factors on demographic parameters and on their relationships. Numbers of breeding pairs and of pairs with chicks were affected by the same environmental factors, mainly anthropogenic, which differed from those affecting the number of fledged chicks per pair. Numbers of fledged chicks per pair was not affected by colony size or by the number of nests with chicks. The categorization of the environmental variables into natural and anthropogenic, in connection with demographic parameters, was relevant to detect factors explaining variation in colony size and breeding parameters. The SOM proved a relevant tool to help determine actual dynamics in White Stork colonies, and thus to support effective conservation decisions at a regional scale
Wood Stork, Juvenile, D
No full textJuvenile wood stork scratching face with feet.https://digitalcommons.usf.edu/aesc_photographs/1260/thumbnail.jp
Bildungsvergleich Abiturienten-Daten, mögliche Fächerwahl, Kapazitäten d. Hochschulen, Vergleich d. Schultypen, Prognosen zum Numerus clausus, 139 Graphiken. Im Auftr. d. Bundesmin. f. Bildung u. Wiss.,auf Beschluß d. Bund-Länder-Komm.,in Zsarb. m. d. Bundesamt f. Statistik
No full textA Rapid Graph-based Method for Arbitrary Transformation Invariant Pattern Classification
No full textStork and ibis.
No full text(A) Yellow-billed stork (photo credit Becky Matsubara) and (B) Sacred Ibis (photo credit Christiaan Kooyman).</p
Expansion of the breeding range of the Oriental Stork Ciconia boyciana in the Razdolnaya River basin (south-west of Primorsky Krai) in 2024
No full textThe Oriental Stork is one of the specially protected bird species of the Russian Far East, listed in the Red Data Books of various levels. In recent years, an increase in its number has been noted in most of its breeding range. This is facilitated by both abiotic factors and the progressive synanthropization of the Oriental Stork. Since the 1970s, these birds have increasingly begun to nest on power line poles, which allowed storks to settle in places where there were no nesting trees before. Previously, the southern border of nesting in the Primorsky Krai was in the south of the Khanka lowland, and in 2023, its reproduction was first noted in the Razdolnaya River basin, 36 km southwest of the former nesting sites. In 2024, colonization continued here and seven new nests were found. The article describes the characteristics of the nests found, as well as analyzes the causes and prospects for expanding the range of the Oriental Stork in the south-west of Primorye
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Fig. 1 in Distribution Pattern, Nest-Tree Features And Breeding Performance Of Population Of The Black Stork, Ciconia Nigra (Ciconiiformes, Ciconiidae), In Northwestern Serbia
No full textFig. 1. The proportion of tree species picked for nest placement by the Black Stork (Ciconia nigra) in Northwestern Serbia (n = 44).Published as part of Rajković, D. Z., 2021, Distribution Pattern, Nest-Tree Features And Breeding Performance Of Population Of The Black Stork, Ciconia Nigra (Ciconiiformes, Ciconiidae), In Northwestern Serbia, pp. 175-184 in Zoodiversity 55 (2) on page 178, DOI: 10.15407/zoo2021.02.175, http://zenodo.org/record/645587
<i>Akeassia</i>, nouveau genre d'<i>Asteraceae</i> d'Afrique tropicale
No full textLes échantillons continuellement rapportés à Microtrichia perrottetii (sauf le type) appartiennent en réalité à un nouveau genre, Akeassia J.-P. Lebrun & Stork (Asteraceae). Description du genre et d'A. grangeoides J.-P. Lebrun & Stork
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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