Browse Articles
Discover research articles across all indexed journals
Retraction Note: An intelligent dynamic cyber physical system threat detection system for ensuring secured communication in 6G autonomous vehicle networks
Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data
Spaciotemporal distribution characteristics of glacial lakes and the factors influencing the Southeast Tibetan Plateau from 1993 to 2023
Clinical characteristics and laparoscopic management experience of primary ovarian leiomyoma
Streptococcus pyogenes carriage rate, associated factors and antimicrobial susceptibility profiles among urban and rural schoolchildren at Gondar city, Northwest Ethiopia
VEGFA, MYC, and JUN are abnormally elevated in the synovial tissue of patients with advanced osteoarthritis
Oligogenic effect is associated with the clinical heterogeneity of autosomal dominant deafness-15
Analysis of changes in the chemokine CXC ligand 13 in serum and cerebrospinal fluid of patients with neuromyelitis optica
Long-term trends in the incidence of male breast cancer and nomogram for predicting survival in male breast cancer patients: a population-based epidemiologic study
Reduction in thermal conductivity of monolayer MoS2 by large mechanical strains for efficient thermal management
Daily briefing: New obesity definition sidelines BMI to focus on health
Characterizing the patient experience of physical restraint in psychiatric settings via a linguistic, sentiment, and metaphor analysis
Influence of drilling incidence angle on the drilling force distribution of pneumatic impactor
Positive sentiment and expertise predict the diffusion of archaeological content on social media
Abstract This study investigates the dissemination of archaeological information on Twitter/X through the lens of cultural evolution. By analysing 132,230 tweets containing the hashtag #archaeology from 2021 to 2023, we examine how content and context-related factors influence retweeting behaviour. Our findings reveal that tweets with positive sentiment and non-threatening language are more likely to be shared, contrasting with the common negativity bias observed on social media. Additionally, content authored by experts, particularly those with archaeological or historical expertise, is more frequently retweeted than content from popular figures lacking domain-specific expertise. The study also challenges the notion that pseudoarchaeology spreads rapidly and caution against overestimating its impact. Our results align with other studies on the spread of misinformation and “toxic” behaviour on social media, showing that the sharing of negative and hostile content by a vocal minority of users is mediated by other factors pertaining to the context of the communication. These insights underscore the nuanced dynamics of archaeology communication, emphasizing the importance of expert-led and positively charged narratives in engaging the public on social media.
Reproductive and persistence strategy of the liverwort Arnellia fennica after the last glaciation in the area of disjunction in Central Europe (Polish Tatra Mountains, carpathians)
The use of the Prospector calculator reduces antibiotic therapy in exacerbations of chronic obstructive pulmonary disease
Highly Efficient and achromatic mid-infrared silicon nitride meta-lenses
Abstract Inverse design with topology optimization considers a promising methodology for discovering new optimized photonic structure that enables to break the limitations of the forward or the traditional design especially for the meta-structure. This work presents a high efficiency mid infra-red imaging photonics element along mid infra-red wavelengths band starts from 2 to 5 µm based on silicon nitride optimized material structures. The first two designs are broadband focusing and reflective meta-lens under very high numerical aperture condition (NA = 0.9). The two designs are modeled by inverse design with topology optimization problem with Kreisselmeier–Steinhauser (k–s) aggregation objective function, while the final design is depended on novel inverse design optimization problem with double aggregation objective function that can target bifocal points along the wavelength band producing high efficiency achromatic broadband multi-focal meta-lens under very high numerical apertures ( $$N{A}_{1} = 0.9, \, N{A}_{2}=0.88$$ ).