Characterization and comparison of immunity against MPXV for individuals infected with MPXV or vaccinated with modified vaccinia Ankara vaccines.

The 2022 Mpox virus (MPXV) outbreak revitalized questions about immunity against MPXV and vaccinia-based vaccines (VAC-V), but studies are limited. We analyzed immunity against MPXV in individuals infected with MPXV or vaccinated with the licensed modified vaccinia Ankara (MVA) Bavarian Nordic or an experimental MVA-HIVB vaccine. The frequency of neutralizing antibody responders was higher among MPXV-infected individuals than MVA vaccinees.

XGBMUT: Predicting the Functional Impact of Missense Mutations Using an Extreme Gradient Boost Classifier.

Millions of new mutations have been discovered largely due to advancements in genome projects, but characterizing their effects through traditional wet-lab experiments remains labor-intensive and time-consuming. Functional prediction algorithms offer a solution by enabling the efficient screening of mutations, thereby saving time and resources. The objective of this study was to develop a competitive algorithm for predicting the functional impact of missense mutations.

Miniaturized DyP Peroxidase-Based Biosensor for On-Site Open Air Use.

A dye-decolorizing peroxidase (DyP)-based electrochemical biosensor for hydrogen peroxide (HO) is developed in miniaturized, disposable, and user-friendly configuration. Wild type and variant DyPs are immobilized on self-assembled monolayer (SAM)-coated and nanostructure-modified screen-printed electrodes (SPEs) to ensure biocompatibility and increase the enzyme loading and hence the biosensor sensitivity. The structure of the enzymes attached to gold and silver nanoparticle (AuNP and AgNP)-modified carbon- and gold-based SPEs (C-SPE and Au-SPE) is monitored by resonance Raman spectroscopy and their electrocatalytic performance toward HO by electrochemistry.

A new approach to dilution prediction of underground mine gold using computing techniques.

Controlling ore dilution in underground mining is challenging. In this study, data from a Brazilian gold mine were analyzed, covering 70 chambers and 26 variables. Six key variables were identified through decision tree analysis, forming the basis of a predictive model using advanced soft computing techniques.