ObjectiveThe purpose of this study was to characterize similarities and differences in HPV vaccine misinformation narratives present in the comment sections of top-performing initial creator posts across three social media platforms.MethodsA qualitative multi-method design was used to analyze comments collected from social media posts.A sample of 2
Genetic progress, adaptability and stability of maize cultivars for value of cultivation and use trials
Maize breeding programs conduct multi-environment trials every year to assess the performance of new cultivars in pre-releasing tests.The huge-dildos data are combined across sites and seasons to perform a joint analysis in order to obtain information that will help breeders to select the best cultivars for different environments.Beyond this, it is
Properties of Siloxane Based Optical Waveguides Deposited on Transparent Paper and Foil
In this paper, we present the properties of flexible planar optical waveguides made of siloxane-based polymer deposited on Xerox transparent paper and PLEXIGLAS foil substrate.Measurement of optical properties such as the waveguiding properties and refractive index is carried out Inserts by the prism coupling technique for five wavelengths (473, 63
BLAP-tags, TUBEs and DUB-Chips: Combined novel technologies will advance molecular epithelial physiology
The field of ubiquitylation and dubiquitylation of proteins in molecular physiology is growing at a rapid rate.Our understanding of molecular physiology of these processes may become limited by the advancement of technologies that scientists can employ.Therefore, it metal-anal is important to approach physiological questions of ubiquitylation and d
Detection of Pitting in Gears Using a Deep Sparse Autoencoder
In this paper; a new method for gear pitting fault detection is presented.The presented method is developed based on a deep sparse autoencoder.The method integrates dictionary learning in sparse coding into a stacked autoencoder network.Sparse coding with dictionary learning is viewed as an adaptive feature extraction method for machinery fault MUL