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Content marketing model for leading web content management [PDF]
, 2019 This paper is envisaged to provide the Ukrainian businesses with suggestions for a content marketing model for the effective management of website content in order to ensure its leading position on the European and world markets.
Bezpartochnyi, Maksym +2 more
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Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study.
Nursing and Health Sciences, 2013 Qualitative content analysis and thematic analysis are two commonly used approaches in data analysis of nursing research, but boundaries between the two have not been clearly specified.
M. Vaismoradi, H. Turunen, T. Bondas
semanticscholar +1 more source
Dynamic Selection of Reliance Calibration Cues With AI Reliance Model
IEEE Access, 2023 Understanding what an AI system can and cannot do is necessary for end-users to use the AI properly without being over- or under-reliant on it. Reliance calibration cues (RCCs) communicate an AI’s capability to users, resulting in optimizing their
Yosuke Fukuchi, Seiji Yamada
doaj +1 more source
Extreme multiplex spectroscopy at wide-field 4-m telescopes
, 2008 We describe the design and science case for a spectrograph for the prime focus of classical 4-m wide-field telescopes that can deliver at least 4000 MOS slits over a 1 degree field.
Content, Robert, Shanks, Tom
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Photonic lantern behaviour and implications for instrument design
, 2014 Photonic lanterns are an important enabling technology for astrophotonics with a wide range of potential applications including fibre Bragg grating OH suppression, integrated photonic spectrographs and fibre scramblers for high resolution spectroscopy ...
Content, Robert +3 more
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Design and construction of the IMACS-IFU, a 2000-element integral field unit
, 2004 The IMACS-IFU is an Integral Field Unit built for the IMACS spectrograph at the Magellan-I-Telescope at Las Campanas Observatory. It consists of two rectangular fields of 5 by 7 arcseconds, separated by roughly one arcminute.
Allington-Smith, J. R. +3 more
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Algorithms, 2018 The ability to learn robust, resizable feature representations from unlabeled data has potential applications in a wide variety of machine learning tasks. One way to create such representations is to train deep generative models that can learn to capture
Aggeliki Vlachostergiou +3 more
doaj +1 more source
Sensors, 2020 Deep learning based methods have achieved state-of-the-art results on the task of ship type classification. However, most existing ship type classification algorithms take time–frequency (TF) features as input, the underlying discriminative information ...
Chen Li +4 more
doaj +1 more source
The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source