ARGfore: A multivariate framework for forecasting antibiotic resistance gene abundances using time-series metagenomic datasets.

Background: The global spread of antibiotic resistance presents a significant threat to human, animal, and plant health. Metagenomic sequencing is increasingly being utilized to profile antibiotic resistance genes (ARGs) in various environments, but presently a mechanism for predicting future trends in ARG occurrence patterns is lacking. Capability of forecasting ARG abundance trends could be extremely valuable towards informing policy and practice aimed at mitigating the evolution and spread of ARGs.

Altered Expression of Epigenetic and Transcriptional Regulators in ERβ Knockout Rat Ovaries During Postnatal Development.

We analyzed the transcriptome data of wildtype and estrogen receptor β knockout () rat ovaries during the early postnatal period and detected remarkable changes in epigenetic regulators and transcription factors. Compared with postnatal day (PD) 4.5 ovaries, PD 6.

Students' safety culture at tertiary level academic institutes in Bangladesh: A cross-sectional study.

This study aims to investigate the safety culture of tertiary-level students in Bangladesh and identify the factors that influence it. A cross-sectional survey was conducted among 1676 students from 16 universities and medical colleges in Bangladesh to gather data. The survey consisted of a paper-based structured questionnaire with three scales: a 17-item safety beliefs and values scale, a 10-item safety perception and awareness scale, and a 14-item safety attitudes scale.

MetaCompare 2.0: differential ranking of ecological and human health resistome risks.

While numerous environmental factors contribute to the spread of antibiotic resistance genes (ARGs), quantifying their relative contributions remains a fundamental challenge. Similarly, it is important to differentiate acute human health risks from environmental exposure, versus broader ecological risk of ARG evolution and spread across microbial taxa. Recent studies have proposed various methods for achieving such aims.

Chalcophosphate metasurfaces with multipolar resonances and electro-optic tuning.

We computationally analyze the electro-optic response of metasurfaces consisting of interconnected nanoantennas with multipolar resonances using a chalcophosphate, SnPS, as the active material. SnPS has large electro-optic coefficients and relatively low Curie temperature (<70 °C), allowing for strong changes in the refractive index of the material under moderate electric fields if the temperature can be finely controlled in proximity of the Curie point. Through numerical simulations, we show that metasurfaces designed with this nanostructured material demonstrate a significant shift of multipolar resonances upon biasing, despite moderate refractive-index values of the chalcophosphate and reduced mode localization due to this.