Phylogeny-based comparative analysis of gene expression modulation upon drought stress across three cotton diploids.

Background: Drought stress is a significant global challenge that negatively impacts cotton fiber yield and quality. Although many drought-stress responsive genes have been identified in cotton species (Gossypium spp.), the diversity of drought response mechanisms across cotton species remains largely unexplored.

Laennec approach for anatomical liver resection assisted by laparoscopy or robotics: a multicenter cohort study.

Introduction: Laennec's capsule serves as a critical anatomical landmark in anatomical liver resection. Despite its potential, a lack of large-scale prospective studies limits the widespread use of the Laennec approach for minimally invasive hepatectomy. This multicenter cohort study aimed to compare the outcomes of the traditional and Laennec approaches in minimally invasive anatomical hepatectomy across multiple centers in China.

Overscreening-Driven Modulation of Ion Adsorption and Desorption in Conductive MOF Electrodes by Charging Rates.

Elucidating the charging mechanism plays an intrinsic and critical role in the development of high-performance supercapacitors; however, a deep understanding of how this mechanism varies under different charging rates remains challenging. In this study, we investigate the charging mechanism of conductive metal-organic framework (c-MOF) electrodes in ionic liquids, combining electrochemical quartz crystal microbalance and constant-potential molecular dynamics simulations. Both experimental and modeling results reveal a transition of the ion adsorption and desorption modes from anion dominance at low charging rates to ion-exchange governance at high charging rates, significantly reducing the contribution of anions to the capacitance.

Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography.

Optically pumped magnetometer magnetoencephalography (OPM-MEG) represents a novel method for recording neural signals in the brain, offering the potential to measure critical neuroimaging characteristics such as effective brain networks. Effective brain networks describe the causal relationships and information flow between brain regions. In constructing effective brain networks using Granger causality, the noise in the multivariate autoregressive model (MVAR) is typically assumed to follow a Gaussian distribution.

Polymorphisms of Gene and Their Correlation with Immune Indicators in Yaks ().

Yaks are crucial to local herders' economy and agriculture. However, several diseases pose a significant threat to the health of yaks and cause substantial economic losses for herders. Therefore, studying the immune indicators and breeding of yaks has become an important task.