TAD-Graph: Enhancing Whole Slide Image Analysis via Task-Aware Subgraph Disentanglement.

Learning contextual features such as interactions among various biological entities is vital for whole slide images (WSI)-based cancer diagnosis and prognosis. Graph-based methods have surpassed traditional multi-instance learning in WSI analysis by robustly integrating local pathological and contextual interaction features. However, the high resolution of WSIs often leads to large, noisy graphs.

Exploring the structure and assembly of seagrass microbial communities in rhizosphere and phyllosphere.

Microbial community assembly and interactions are pivotal research areas within microbial ecology, yet relevant studies in seagrass rhizospheres and phyllosphere remain relatively scarce. In this study, we utilized high-throughput sequencing technology to investigate the microbial communities in different periods and microhabitats (rhizosphere and phyllosphere) of two seagrass species ( and ). Our findings suggest that microhabitats have a more pronounced impact on the composition of seagrass-associated microbial communities compared to periods and species.

Investigating the response mechanisms of the intertidal seagrass Zostera japonica to increased UVB radiation through physiological, transcriptomic, and metabolomic analyses.

Global climate change has led to increased ultraviolet-B (UVB) radiation, which is now a major global environmental issue that poses significant threats to ecosystems. Zostera japonica, a higher plant inhabiting the intertidal zone, is particularly impacted by this increase in UVB radiation. Furthermore, its unique evolutionary history has endowed Z.

Recent advances of lysine lactylation in prokaryotes and eukaryotes.

Lysine lactylation is a newly discovered protein post-translational modification that plays regulatory roles in cell metabolism, growth, reprogramming, and tumor progression. It utilizes lactate as the modification precursor, which is an end product of glycolysis while functioning as a signaling molecule in cells. Unlike previous reviews focused primarily on eukaryotes, this review aims to provide a comprehensive summary of recent knowledge about lysine lactylation in prokaryotes and eukaryotes.

Revolutionizing Epithelial Differentiability Analysis in Small Airway-on-a-Chip Models Using Label-Free Imaging and Computational Techniques.

Organ-on-a-chip (OOC) devices mimic human organs, which can be used for many different applications, including drug development, environmental toxicology, disease models, and physiological assessment. Image data acquisition and analysis from these chips are crucial for advancing research in the field. In this study, we propose a label-free morphology imaging platform compatible with the small airway-on-a-chip system.

The contribution of seasonal variations and Zostera marina presence to the bacterial community assembly of seagrass bed sediments.

Background: Microorganisms play pivotal roles in seagrass ecosystems by facilitating material and elemental cycling as well as energy flux. However, our understanding of how seasonal factors and seagrass presence influence the assembly of bacterial communities in seagrass bed sediments is limited. Employing high-throughput sequencing techniques, this study investigates and characterizes bacterial communities in the rhizosphere of eelgrass (Zostera marina) and the bulk sediments across different seasons.

MIST-CF: Chemical Formula Inference from Tandem Mass Spectra.

Chemical formula annotation for tandem mass spectrometry (MS/MS) data is the first step toward structurally elucidating unknown metabolites. While great strides have been made toward solving this problem, the current state-of-the-art method depends on time-intensive, proprietary, and expert-parametrized fragmentation tree construction and scoring. In this work, we extend our previous spectrum Transformer methodology into an energy-based modeling framework, MIST-CF: Metabolite Inference with Spectrum Transformers for Chemical Formula prediction, for learning to rank chemical formula and adduct assignments given an unannotated MS/MS spectrum.

A comprehensive review of radioactive pollution treatment of uranium mill tailings.

Natural uranium is a crucial resource for clean nuclear energy, which has brought significant economic and social benefits to humanity. However, the development and utilization of uranium resources have also resulted in the accumulation of vast amounts of uranium mill tailings (UMTs), which pose a potential threat to human health and the ecological environment. This paper reviews the research progress on UMTs treatment technologies, including cover disposal, solidification disposal, backfilling disposal, and bioremediation methods.

Response mechanisms of microalgal-bacterial granular sludge to zinc oxide nanoparticles.

Currently, zinc oxide nanoparticles (ZnO-NPs) with their widespread applications lead to their increasing dosages in wastewater, posing an urgent threat to wastewater treatment. Herein, the responses of the emerging microalgal-bacterial granular sludge (MBGS) to ZnO-NPs were investigated. The results showed that the performance of MBGS was significantly affected when the concentration of ZnO-NPs reached 10 mg/L, especially for the removal of ammonia and phosphorus.