In this study, we investigate YouTube's videos related to vaccines understand the particularities of opposition in Brazil. The World Health Organization considered vaccine hesitation as one greatest threats global health 2019. Researchers associated a strengthening anti-vaccination movements, suggesting that social media is currently main spreader position. YouTube increasingly becomes matter concern, since its recommendation system identified promoter misinformation and extreme content....

Abstract Natural history collections are invaluable resources for understanding biotic response to global change. Museums around the world currently imaging specimens, capturing specimen data and making them freely available online. In parallel digitisation effort, there have been great advancements in computer vision: trained automated recognition/detection, measurement of features digital images. Applying vision digitised natural has potential greatly accelerate use these change research....

Abstract Fiber-reinforced ceramic-matrix composites are advanced, temperature resistant materials with applications in aerospace engineering. Their analysis involves the detection and separation of fibers, embedded a fiber bed, from an imaged sample. Currently, this is mostly done using semi-supervised techniques. Here, we present open, automated computational pipeline to detect fibers tomographically reconstructed X-ray volume. We apply our non-trivial dataset by Larson et al . To separate...

COVID-19 misinformation became accessible and profitable through social media platforms, such as YouTube. Here we investigate if Brazilian YouTube channels previously identified vaccine spreaders would also misinform their audience about COVID-19. Our analysis sample consists of 6 months content (3,318 videos) from 50 channels. We establish a protocol to classify the types spread by creators, describing how evade moderation—disguising, replicating, dispersing misinformation—and what tactics...

ABSTRACT Electronic microscopy has been used for morphology evaluation of different materials structures. However, results may be affected by several factors. Image processing methods can to correct and improve the quality these results. In this article, we propose an algorithm based on starlets perform segmentation scanning electron images. An application is presented in order locate gold nanoparticles natural rubber membranes. application, our method showed accuracy greater than 85% all...

Abstract Introduction Procedures for measuring and counting tracks are time‐consuming involve practical problems. The precision of automatic methods is not satisfactory yet; the major challenges distinguishing material defects, identifying small defects similar size, detecting overlapping tracks. Materials Methods Here, we address issue using algorithm Watershed Using Successive Erosions as Markers (WUSEM), which combines watershed transform, morphological erosions labeling to separate...

ABSTRACT Natural history collections (NHCs) are invaluable resources for understanding biotic response to global change. Museums around the world currently imaging specimens, capturing specimen data, and making them freely available online. In parallel digitisation effort, there have been great advancements in computer vision (CV): trained automated recognition/detection, measurement of features digital images. Applying CV digitised NHCs has potential greatly accelerate use change research....

Abstract Image segmentation, the process of separating elements within a picture, is frequently used for obtaining information from photomicrographs. Segmentation methods should be with reservations, since incorrect results can mislead when interpreting regions interest (ROI). This decreases success rate extra procedures. Multi‐Level Starlet (MLSS) and Optimal (MLSOS) were developed to an alternative general segmentation tools. These gave rise Jansen‐MIDAS, open‐source software. A scientist...

Teorias da conspiração podem causar danos reais à sociedade e seus impactos ser ainda mais drásticos em circunstâncias de crise, como a pandemia Covid-19. O trabalho investiga uma amostra 198 vídeos produzidos por 21 canais brasileiros do YouTube previamente identificados disseminadores teorias sobre pandemia. A análise conteúdo foi adotada metodologia, utilizando os elementos lead jornalístico categorias. As principais encontradas foram “Nova Ordem Mundial”, “Plandemia”, “Big Pharma”,...

COVID-19 misinformation became accessible and profitable through socialmedia platforms, such as YouTube. Here we investigate if Brazilian YouTubechannels previously identified vaccine spreaders would alsomisinform their audience about COVID-19. Our analysis sample consists of6 months of content (3,318 videos) from 50 YouTube channels.We establish a protocol to classify the types misinformationspread by creators, describing how channels evade contentmoderation—disguising, replicating,...

Image segmentation, the process of separating elements within an image, is frequently used for obtaining information from photomicrographs. However, segmentation methods should be with reservations: incorrect can mislead when interpreting regions interest (ROI), thus decreasing success rate additional procedures. Multi-Level Starlet Segmentation (MLSS) and Optimal (MLSOS) were developed to address photomicrograph deficiency on general tools. These gave rise Jansen-MIDAS, open-source software...