Exploring the classical and numerical Delboeuf illusion: the impact of transcranial alternating current stimulation on magnitude processing.

Understanding cognitive and neural mechanisms underlying quantity processing is crucial for unraveling human cognition. The existence of a single magnitude system, encompassing non-symbolic number estimation alongside other magnitudes like time and space, is still highly debated since clear evidence is limited. Recent research examined whether spatial biases also influence numerosity judgments, using visual illusions like the Delboeuf illusion.

Co-design of a single session intervention chatbot for people on waitlists for eating disorder treatment: a qualitative interview and workshop study.

Background: Early treatment is critical to improve eating disorder prognosis. Single session interventions have been proposed as a strategy to provide short term support to people on waitlists for eating disorder treatment, however, it is not always possible to access this early intervention. Conversational artificial intelligence agents or "chatbots" reflect a unique opportunity to attempt to fill this gap in service provision.

Robotic-assisted retroperitoneal lymph node dissection: defining selection parameters-a B-SAFE approach.

The objective of the study is to define selection parameters for RRPLND and evaluate the outcomes from cases selected via this method. Patients undergoing RRPLND from 2017 to 2023 (n = 57) were included. Initial criteria for robotic case selection were defined via 'B-SAFE' parameters.

Chronic obstructive Pulmonary Disease (COPD) in non-smoking Sri Lankan adults; a cross-sectional study.

Objective: To estimate the prevalence of Chronic Obstructive Pulmonary Disease (COPD) among non-smoking Sri Lanka adults as part of a larger study which assessed the burden of obstructive lung disease (BOLD) in Sri Lanka.

Results: The prevalence of COPD among non-smokers was 5.3%, with mild to moderate disease.

Assessment of unmixing approaches for the quantitation of SERS nanoparticles in highly multiplexed spectral images.

Surface-enhanced Raman scattering nanoparticles (SERS NPs) offer powerful optical contrast features for imaging assays. Their gold core enhances the inelastic scattering cross section, allowing highly sensitive and rapid detection, and their characteristic sets of narrow spectral bands give them unsurpassed multiplexing capabilities. Multiplexed hyperspectral images are commonly unmixed using a compensation matrix of reference spectra to produce quantitative image channels illustrating the distribution of each material.