The study consists of three steps described in more detail in the following subsections. Initially, national production quantities are derived for a predefined set of process routes (step 1). These process routes cover those most relevant within…
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Meet the ‘Wee-rex’. Tiny tyrannosaur is its own species
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A probabilistic histological atlas of the human brain for MRI segmentation
Brain specimens
Hemispheres from five individuals (including half of the cerebrum, cerebellum and brainstem), were used in this study, following informed consent to use the tissue for research and the ethical approval for research by the National…
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A hydrographic dataset of the Wadden Sea as a foundation for a digital twin of the coastal ocean
Digital twin framework
To elevate a conventional model toward a DTO, the following three conditions must be met: (1) real-time connection, (2) bi-directionality, and (3) interactivity2,4,5. For distinguishing a digital twin of the coastal ocean…
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Real-world chemistry lab image dataset for equipment recognition across 25 apparatus categories
Ma, D. Recent advances in deep learning based computer vision. 2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE), 174–179, https://doi.org/10.1109/CIPAE55637.2022.00044 (2022).
Bertolini, M.,…
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Bees already fly in sub-optimal conditions
Temperature limits — broadly defined as upper and lower temperatures beyond which organisms lose physiological functions — have been widely used to understand species’ vulnerabilities to climate change. However, recent research has…
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Science diplomacy in small states: a case study of global players’ engagement in Slovakia
Science diplomacy—conceptual issues
Definition and coverage of science diplomacy
Science diplomacy is an emerging field of study at the intersection of international relations and science policy, which has received only limited attention from…
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Detection of commercial crop weeds using machine learning algorithms
Consider a crop weed identification system that has Ct, Cc, and Ch numbers for tomato, cotton, and chili crop images, and Wt, Wc, and Wh for the corresponding numbers of weed images. Let N x N be the dimension of the input image, and n x n is…
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