Few developments in microbiological diagnostics have had such a rapid impact on species
level identification of microorganisms as matrix-assisted laser desorption/ionization time of …

The current focus on networking and mutual assistance in the management of radiation
accidents or incidents has demonstrated the importance of a joined-up approach in physical and …

Antibiotics are an essential tool of modern medicine, contributing to significantly decreasing
mortality and morbidity rates from infectious diseases. However, persistent misuse of these …

We introduce PREDATOR, a model for pairwise pointcloud registration with deep attention
to the overlap region. Different from previous work, our model is specifically designed to …

The weighted total least-squares solution (WTLSS) is presented for an errors-in-variables
model with fairly general variance–covariance matrices. In particular, the observations can be …

We propose 3DSmoothNet, a full workflow to match 3D point clouds with a siamese deep
learning architecture and fully convolutional layers using a voxelized smoothed density value (…

Objective To investigate the formation of biofilms on the surface of materials applied for the
fabrication of implant abutments. Material and methods Specimens were prepared from the …

Within the framework of the international field campaign COPS (Convective and
Orographically‐induced Precipitation Study), a large suite of state‐of‐the‐art meteorological …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Beta variant of concern (VOC)
resists neutralization by major classes of antibodies from COVID-19 patients and …

The Convective Storm Initiation Project (CSIP) is an international project to understand
precisely where, when, and how convective clouds form and develop into showers in the mainly …