Browse Articles

Analysis the diagnostic performance of H4C6/SOX1-OT gene methylation in bladder cancer based on urine sample

Aligning the Induced Anisotropy of Isotropic Nanoparticles with Liquid Crystals

Modelling of pome fruit pollen performance using machine learning

Spatially Selective MicroRNA Imaging in Human Colorectal Cancer Tissues Using a Multivariate-Gated Signal Amplification Nanosensor

An adaptive ensemble feature selection technique for model-agnostic diabetes prediction

Conditional expected approach based monitoring of mean of type-I censored Weibull lifetimes

Improved sand cat swarm optimization algorithm assisted GraphSAGE-GRU for remaining useful life of engine

Abstract With the development of deep learning, the potential for its use in remaining useful life (RUL) has substantially increased in recent years due to the powerful data processing capabilities. However, the relationships and interdependencies of operation parameters in non-Euclidean space are ignored utilizing the current deep learning-based methods during the degradation process for engine. To address this challenge, an improved sand cat swarm optimization-assisted Graph SAmple and aggregate and gate recurrent unit (ISCSO-GraphSage-GRU) is proposed to achieve RUL prediction in this work. Firstly, the maximum information coefficient (MIC) is utilized for describing the interdependent relations of measured parameters. Building on this foundation, the constructed graph data is used as input to GraphSage-GRU so as to overcoming the shortcomings of existing deep learning methods. Additionally, this work proposed an improved sand cat swarm optimization (ISCSO) to improve the predicted performance of GraphSage-GRU, including tent mapping in population initialization and a novel adaptive approach enhance the exploration and exploitation of sand cat swarm optimization. The CMAPSS dataset is used to validate the effectiveness and advancedness of ISCSO-GraphSage-GRU, and the experimental results show that the R 2 of the ISCSO-GraphSage-GRU is greater than 0.99, RMSE is less than 6.

Synthesis and Reactivity of an Iron–Tin Complex with Adjacent Stannylidyne and Ferriostannylene Units

Publisher Correction: Single-Cell RNA sequencing reveals mitochondrial dysfunction in microtia chondrocytes

Charge Density Wave and Superconductivity in BaSbTe₂S Heterolayer Crystal with 2D Te Square Nets

Candida albicans aspartyl protease (Sap6) inhibits neutrophil function via a “Trojan horse” mechanism

Abstract Candida albicans, a prevalent fungal pathogen, employs aspartyl proteases such as Sap6 to evade immune defenses, challenging our understanding of host‒pathogen interactions. This research examined the impact of Sap6 on neutrophil responses, which are crucial for innate immunity. Employing flow cytometry and fluorescence microscopy, we explored how Sap6 affects neutrophil functions, particularly by focusing on reactive oxygen species (ROS) production, neutrophil extracellular traps release (NETosis), and apoptosis. Our findings revealed Sap6’s unique ability to bind and internalize in neutrophils, significantly attenuating ROS production through proteolytic damage to NADPH oxidase, resulting in blocking the ROS-dependent NETosis pathway. This disruption in neutrophil functions by Sap6 suggested the presence of a ‘Trojan horse’ mechanism by C. albicans. This mechanism reveals a sophisticated immune evasion strategy, shedding light on fungal pathogenicity and host immune interactions. Understanding fungal proteases in immune modulation could inspire new therapeutic approaches for fungal infections.

<i>Operando</i> Unveiling of Hydrogen Spillover Mechanisms on Tungsten Oxide Surfaces

Impaired MC3T3-E1 osteoblast differentiation triggered by oncogenic HRAS is rescued by the farnesyltransferase inhibitor Tipifarnib

Abstract HRAS is a ubiquitously expressed protein and functions as a central regulator of cellular homeostasis. In somatic cells, mutations in this gene cause cancer, while germline mutations trigger a developmental disorder known as Costello syndrome (CS). Among numerous pathologies, adult CS patients develop osteoporosis. Previous studies revealed that HRAS is implicated in bone homeostasis by controlling osteoblast differentiation, adaptation to mechanical strain and repression of RANKL expression in mature osteoblasts, and by regulating osteoclast differentiation. However, the impact of HRAS on osteoblast differentiation is still debatable. In this study, we created stable doxycycline inducible cell lines overexpressing HRAS G12 mutants in MC3T3-E1 preosteoblast cell line and analyzed their impact on osteoblast differentiation. We demonstrated an inhibitory role of HRAS G12S and HRAS G12V mutants on osteogenic differentiation and identified an increased expression of Opn in an HRAS-dependent manner, which directly correlated with impaired osteogenesis, and was rescued by the farnesyl transferase inhibitor Tipifarnib. At the molecular level, Tipifarnib was not able to block HRAS activation, but impaired HRAS localization to the plasma membrane, and inhibited MAPK activation and Opn expression. Thus, HRAS abundance/activation and its potential crosstalk with OPN may be more critical for osteogenic differentiation than previously assumed.

Functionalized Docetaxel Probes for Refined Visualization of Mitotic Spindles by Expansion Microscopy

High-intensity interval training alleviates STZ-induced muscle atrophy by restoration of nuclear positioning defects in C57BL/6 male mice

Reduction-Interrupted Tandem Reaction for General Synthesis of Functional Amino Acids by a Heterogeneous Cobalt Catalyst

Ectomycorrhizal fungal community varies across broadleaf species and developmental stages

Peptide Backbone Editing via Post-Translational O to C Acyl Shift

Anti-tumor efficacy and safety of AEV01 in preclinical glioblastoma and hepatocellular carcinoma models

Helix-Guarded Molecular Clips for Cell-Free DNA Scavenging and Treatment of Systemic Lupus Erythematosus