Development of a microbiome for phenolic metabolism based on a domestication approach from lab to industrial application.

Despite a lot of efforts devoted to construct efficient microbiomes, there are still major obstacles to moving from the lab to industrial applications due to the inapplicability of existing technologies or limited understanding of microbiome variation regularity. Here we show a domestication strategy to cultivate an effciient and resilient functional microbiome for addressing phenolic wastewater challenges, which involves directional domestication in shaker, laboratory water test in small-scale, gas test in pilot scale, water test in pilot scale, and engineering application in industrial scale. The domestication process includes the transition from water to gas, which provided complex transient environment for screening of a more adaptable and robust microbiome, thereby mitigating the performance disparities encountered when transitioning from laboratory experimentation to industrial engineering applications.

The effects of high-intensity interval training on cognitive performance: a systematic review and meta-analysis.

Cognitive decline is an important feature of an aging population. Despite the large body of research investigating the effects of high-intensity interval training (HIIT) on cognitive performance, reports of its effectiveness are inconsistent and it is difficult to determine what factors moderate these effects. The purpose of this study was to conduct a meta-analysis of existing randomised controlled trials investigating the effects of HIIT on various domains of cognitive performance, and to further examine the intervention cycle and age-related moderating effects.

Aligning knowledge concepts to whole slide images for precise histopathology image analysis.

Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. However, previous studies only learn from training data, posing a stark contrast to how human clinicians teach each other and reason about histopathologic entities and factors. Here, we present a novel knowledge concept-based MIL framework, named ConcepPath, to fill this gap.

The South China Sea Mooring Array and its applications in exploring oceanic multiscale dynamics.

The South China Sea (SCS) is abundant with complex multiscale dynamic processes but their spatiotemporal variations, generation and evolution mechanisms, and mutual interactions remain inadequately understood due to the lack of long-term in situ observations. To explore oceanic multiscale dynamics in the SCS, the SCS Mooring Array (SCSMA) was began to be constructed since 2009. The SCSMA consists of ∼40 moorings and is the largest in situ ocean observing system in marginal seas worldwide.

Mesoporous polydopamine composite nanoparticles for multimodal therapy based on disrupting the redox homeostasis within tumor cells.

Developing multimodal combination therapy strategies to disrupt the redox homeostasis within tumor cells is currently an important approach in cancer treatment. In this study, we designed and prepared multifunctional composite nanoparticles MPDA-PEG@MnO@2-DG (MPPMD NPs) utilizing mesoporous polydopamine nanoparticles (MPDA NPs) as carriers. These carriers were coated with polyethylene glycol (PEG), and manganese dioxide (MnO) and loaded with 2-deoxy-d-glucose (2-DG).