This article explores the ability of Arabidopsis thaliana to recover after exposure to freezing temperatures.

This article presents a study with the purpose to deliver a Notch Intracellular Domain (NICD)-encoded plasmid via poly(lactic-co-glycolic acid) (PLGA) nanoparticles and to investigate the toxic environmental side effects for an in vivo experiment. This research demonstrates that PLGA nanoparticle-mediated target delivery to upregulate Notch related genes can be a potential therapeutic approach with minimum toxic effects.

Article studying thrombocyte function and development in adult zebrafish. The authors performed single-cell RNA sequencing of the young and mature zebrafish thrombocytes and compared the two datasets for young and mature thrombocyte transcripts.

Article presents the implementation of relaxation time approximation models in the calculation of Boltzmann transport in PAOFLOW 2.0 and applies those to model band-structures. In addition, using a self-consistent fitting of the model parameters to experimental conductivity data, the authors provide a flexible tool to extract scattering rates with high accuracy. They illustrate the approximations using simple models and then apply the method to GaAs, Si, Mg₃Sb₂, and CoSb₃.

Article uses acid-resistant metal-organic framework nanoparticles (UiO-68-NH2) to encapsulate sufficient insulin and decorated the exterior with targeting proteins (transferrin) to realize highly efficient oral insulin delivery.

Article presents a study utilizing a carefully selected sample of 53 radio-quiet quasars that have Hβ and C iv λ1549 spectroscopy as well as Chandra coverage, to search for a robust accretion-rate indicator for quasars, particularly at the highest-accessible redshifts (z ∼ 6–7).

Article claims antimicrobial resistance (AMR) threatens the healthcare system worldwide with the rise of emerging drug resistant infectious agents. To infer novel resistance genes, we used complete gene sets of several bacterial strains known to be susceptible or resistant to specific drugs and associated phenotypic information within a machine learning framework that enabled prioritizing genes potentially involved in resistance.

Article describes the efficient and accurate identification of canopy gaps is the basis of forest ecosystem research, which is of great significance to further forest monitoring and management. One major limitation of the traditional methods of remote sensing to map canopy gaps is that they cannot finely extract the complex edges of canopy gaps in mountainous areas. The authors proposed an object-oriented classification method that integrates multi-source information.