Scientific Reports

Abstract Research on applying machine learning (ML) and deep learning (DL) techniques to landslide susceptibility analysis is widespread, with increasingly accurate analyses through novel models. Predicting landslide susceptibility using ML models involves analyzing relationships between conditioning factors and landslide occurrences. Unlike traditional methods, ML models do not explicitly incorp…

Abstract Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluated the feasibility of the newly developed digital therapeutics (DTx) ACESO-APP, a personalized exercise app with real-time feedback, using skeleton-based motion analysis and artificial intelligence-driven body reconstruction models. Fourteen…

Abstract Lip reading technology has potential use across various fields, significantly enhancing communication for the deaf, aiding in noisy settings, and supporting information security through silent password entry. Although, notable progress has been made in constructing datasets of different types like digits, alphabets, words, phrases, and sentences levels for lip reading in various language…

Abstract A precise, non-destructive method for determining the areal density of thin graphenic carbon (GC) foils via alpha-particle energy loss is presented. Two types of GC foils — sourced from KETEK GmbH and Applied Nanotech Inc. — were investigated using a three-isotope mixed alpha source emitting particles in the 5.0–5.8 $$\textrm{MeV}$$ range. Both foils have similar nominal areal densities …

Abstract The two biotypes of the mosquito species Culex pipiens s.s. (biotype pipiens and biotype molestus ) differ in overwintering strategy. Biotype pipiens enters diapause, whereas biotype molestus remains active year-round. In the Netherlands, flooded crawlspaces may provide sheltered development sites for biotype molestus in winter. We therefore investigated the effects of human population d…