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189 results for “conceptualization”
Supplementary material 1 from: Sun Y, Beuchat C, Müller-Schärer H (2020) Is biocontrol efficacy rather driven by the plant or the antagonist genotypes? A conceptual bioassay approach. NeoBiota 63: 81-100. https://doi.org/10.3897/neobiota.63.54962
Figure S1–S8
Data from: Challenging the conceptual framework of maintenance hosts for influenza A viruses in wild birds
1.The conceptual framework considering Anseriformes and Charadriiformes as the main maintenance hosts for influenza A viruses (IAV) in wild birds has shaped IAV research and surveillance over the last decades. 2.We challenge this framework by reviewing the worldwide surveillance data on non-Anseriformes and non-Charadriiformes (NANC) species, generally considered as playing little role in IAV maintenance, available in literature and online data bases (close to 200 sources). 3.Globally, we found an IAV infection rate of 1.51% (95% CI, 1.44%–1.59%) for c.101 000 birds tested from NANC species. If Anseriformes have, as expected, a higher infection rate than any other bird orders, eight bird orders have an infection rate higher or close to the Charadriiformes infection rate, challenging the status of Charadriiformes. 4.We interpret the attention paid in favour of Charadriiformes by an extrapolation bias from data collected in hotspots of IAV infection in Charadriiformes (e.g. Delaware Bay, USA). 5.The growing data on IAV in wild birds worldwide, summarised here, supports two non-exclusive hypotheses: (i) the quality of the diagnostic tools and techniques used explain the patterns observed; (ii) IAV maintenance is determined by complex multi-host systems composed of multiple bird species, dependent on the ecosystem and its bird diversity and composition. 6.Synthesis and applications. Our results have two main implications. First, new research and surveillance should be designed in order to understand influenza A viruses ecology in wild birds across the world, along with appropriate diagnostic tools and new hypotheses and dedicated protocols. This should be done in line with our new conceptual framework that conveys less a priori than its predecessor. Secondly, our results call for more bridging between biological and epidemiological sciences in order to tackle disease ecology in multi-host systems.
CONCEPTUAL BASIS FOR STRENGTHENING THE IMAGE OF THE TOURIST TERRITORIES OF OUR COUNTRY.
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CONCEPTUAL FRAMEWORK OF FACTORS AFFECTING THE INCOME AND QUALITY OF LIFE OF THE POPULATION.
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EXPLORING THE ACTUAL PROCESSES OF CONCEPTUAL FIELD EVOLUTION IN MODERN CONDITIONS.
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A CONCEPTUAL FRAMEWORK FOR APPLYING THEORIES OF HUMAN BEHAVIOR IN IMPROVING ORGANIZATIONAL EFFECTIVENESS.
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Dataset of the Article Evaluating a Framework of Conceptual Modelling Research
<p>Excel files with the raw data of the article Evaluating a Framework of Conceptual Modelling Research</p>
CONCEPTUAL FOUNDATIONS OF PRODUCT POLICY DEVELOPMENT AND APPLICATION OF MARKETING RESEARCH IN INTERNATIONAL MARKETING
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Factors that determine entrepreneurial success: proposal of a conceptual model based on a systematic literature review
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Ecological and conceptual consequences of Arctic pollution
<p>Though the effect of pollution on forest health and decline received much attention in the 1980s, it has not been considered to explain the 'Divergence Problem' in dendroclimatology; a decoupling of tree growth from rising air temperatures since the 1970s. Here we use physical and biogeochemical measurements of hundreds of living and dead conifers to reconstruct the impact of heavy industrialisation around Norilsk in northern Siberia. Moreover, we develop a forward model with surface irradiance forcing to quantify long-distance effects of anthropogenic emissions on the functioning and productivity of Siberia's taiga. Downwind from the world's most polluted Arctic region, tree mortality rates of up to 100% have destroyed 24,000 km<sup>2</sup> boreal forest since the 1960s, coincident with dramatic increases in atmospheric sulphur, copper, and nickel concentrations. In addition to regional ecosystem devastation, we demonstrate how 'Arctic Dimming' can explain the circumpolar 'Divergence Problem', and discuss implications on the terrestrial carbon cycle.</p>
Figure 1 from: Vinarski M (2015) Conceptual shifts in animal systematics as reflected in the taxonomic history of a common aquatic snail species (Lymnaea stagnalis). Zoosystematics and Evolution 91(2): 91-103. https://doi.org/10.3897/zse.91.4509
Figure 1 - A great pond snail in its natural environment. 12.08.2014. Russia, Western Siberia, "Malaya Sos'va" Nature Reserve, Kopanoye Lake (photo: M. Vinarski).
Figure 4 from: Vinarski M (2015) Conceptual shifts in animal systematics as reflected in the taxonomic history of a common aquatic snail species (Lymnaea stagnalis). Zoosystematics and Evolution 91(2): 91-103. https://doi.org/10.3897/zse.91.4509
Figure 4 - Varieties of Lymnaea stagnalis as they were identified by malacologists of the 19th century. A. Lymnaea stagnalis var. typica (det. S. Clessin; ZIN). B. Lymnaea stagnalis var. media (det. C.A. Westerlund; GNM). C. Lymnaea stagnalis var. producta (det. C.A. Westerlund; GNM). D. Lymnaea stagnalis var. rosea (identified by a unknown person; ZMUC). E. Lymnaea stagnalis var. colpodia (det. C.A. Westerlund; GNM). F. Lymnaea stagnalis var. variegata (det. C.A. Westerlund; GNM). G. Lymnaea stagnalis var. turgida (det. C.A. Westerlund; GNM). H. Lymnaea stagnalis var. raphidia (det. C.A. Westerlund; GNM). I. Lymnaea stagnalis var. palustriformis (det. A. Fuchs, NHMW). Scale bars 5 mm.
Figure 2 from: Vinarski M (2015) Conceptual shifts in animal systematics as reflected in the taxonomic history of a common aquatic snail species (Lymnaea stagnalis). Zoosystematics and Evolution 91(2): 91-103. https://doi.org/10.3897/zse.91.4509
Figure 2 - Evolution of accuracy in illustrations of Lymnaea stagnalis shell through two centuries. Sources of images: A. Aldrovandi 1606. B. Lister 1678. C. Bonanni 1681. D. Klein 1753. E. Seba 1758. F. Schröter 1779.
Conceptual Understanding: "What is Studentd Spatial Thinking Design in Geometry Learning?"
<p>Data for Classification indicators of spatial thinking.</p> <p>The change of paradigms in national assessment in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teacher is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial thinking indicators with six relevant background components of realistic geometry, and to describe students' spatial spatial thinking design to acquire a geometric comprehension by using google sketch-up. The spatial thinking indicators are outluned with six background components of realistic geometry by using explanatory factor analysis (EFA) with JASP software 0.15.0.0. The acquires research results show the correlations between sighting and projecting, orienting and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial thinking indicators are outlined in six component groups of realistic geometry. The results ca be used as the consideration for teachers in identifying students conceptual understanding to support the improvement of student competencies.</p>
Conceptual Model for Supporting the Teaching of Software Engineering Controlled Experiments and Quasi-Experiments
<p>Conceptual Model for Supporting the Teaching of Software Engineering Controlled Experiments and Quasi-Experiments</p>
Supplementary material 1 from: Cocos D, Klapwijk MJ, Schroeder M (2023) Tree species preference and impact on native species community by the bark beetle Ips amitinus in a recently invaded region. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 349-367. https://doi.org/10.3897/neobiota.84.86586
Ips amitinus description, table S1
Supplementary material 3 from: Grégoire J-C, Jactel H, Hulcr J, Battisti A, Inward D, Petter F, Grousset F (2023) Cosmopolitan Scolytinae: strong common drivers, but too many singularities for accurate prediction. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 81-105. https://doi.org/10.3897/neobiota.84.89826
Well-classified and misclassified species
Supplementary material 1 from: Grégoire J-C, Jactel H, Hulcr J, Battisti A, Inward D, Petter F, Grousset F (2023) Cosmopolitan Scolytinae: strong common drivers, but too many singularities for accurate prediction. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 81-105. https://doi.org/10.3897/neobiota.84.89826
Main characteristics of the 163 Scolytinae with an invasion history
Supplementary material 2 from: Grégoire J-C, Jactel H, Hulcr J, Battisti A, Inward D, Petter F, Grousset F (2023) Cosmopolitan Scolytinae: strong common drivers, but too many singularities for accurate prediction. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 81-105. https://doi.org/10.3897/neobiota.84.89826
Landmasses
Supplementary material 1 from: Roques A, Ren L, Rassati D, Shi J, Akulov E, Audsley N, Auger-Rozenberg M-A, Avtzis D, Battisti A, Bellanger R, Bernard A, Bernadinelli I, Branco M, Cavaletto G, Cocquempot C, Contarini M, Courtial B, Courtin C, Denux O, Dvořák M, Fan J-t, Feddern N, Francese J, Franzen EKL, Garcia A, Georgiev G, Georgieva M, Giarruzzo F, Gossner M, Gross L, Guarneri D, Hoch G, Hölling D, Jonsell M, Kirichenko N, Loomans A, Luo Y-q, McCullough D, Maddox C, Magnoux E, Marchioro M, Martinek P, Mas H, Mériguet B, Pan Y-z, Phélut R, Pineau P, Ray AM, Roques O, Ruiz M-C, Sarto i Monteys V, Speranza S, Sun J-h, Sweeney JD, Touroult J, Valladares L, Veillat L, Yuan Y, Zalucki MP, Zou Y, Žunič-Kosi A, Hanks LM, Millar JG (2023) Worldwide tests of generic attractants, a promising tool for early detection of non-native cerambycid species. In: Jactel H, Orazio C, Robinet C, Douma JC, Santini A, Battisti A, Branco M, Seehausen L, Kenis M (Eds) Conceptual and technical innovations to better manage invasions of alien pests and pathogens in forests. NeoBiota 84: 169-209. https://doi.org/10.3897/neobiota.84.91096
Total trapping network
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.