Publications by authors named "Qixing Sun"

Summer heatwaves have caused a distinct mortality between urban greening and native plants. However, there are insufficient studies revealing the underlying mechanisms. We hypothesized that differentiation in hydraulic traits and their integration cause the varied heatwave-induced damages between the two plant types.

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  • - The paper discusses variable camber wing technology as an innovative approach in green aviation, highlighting its potential over other morphing technologies that struggle with power and speed.
  • - A novel linkage-based design for the wing's trailing edge is introduced, which incorporates a coordinated design process, involving internal structures and flexible skins to enhance aerodynamics.
  • - Ground tests confirm that the newly designed mechanisms can handle significant aerodynamic loads, proving their strength and viability for future engineering applications in variable camber wings.
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  • Cancer is a major cause of death globally, and accurately predicting survival time is crucial for improving treatment strategies due to the complex nature of cancer data.
  • The study proposes a deep learning method that differentiates between shared and unique genetic features to effectively address the challenges posed by cancer heterogeneity in survival predictions.
  • Experimental results show that this new approach significantly outperforms existing methods, enhancing the accuracy of cancer survival predictions.
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Background: As a highly aggressive disease, cancer has been becoming the leading death cause around the world. Accurate prediction of the survival expectancy for cancer patients is significant, which can help clinicians make appropriate therapeutic schemes. With the high-throughput sequencing technology becoming more and more cost-effective, integrating multi-type genome-wide data has been a promising method in cancer survival prediction.

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  • Multi-view learning involves using multiple data sources to improve decision-making, and multi-view representation learning is essential for creating a cohesive representation from these data sources.
  • This study introduces the concept of "view communication," inspired by how humans collaborate in group decisions, to enhance the performance of multi-view representation learning.
  • The proposed method allows for multiple rounds of communication between different views, leading to mutual enhancement of representations, resulting in an impressive increase in classification accuracy across various datasets, particularly in medicine, bioinformatics, and machine learning.
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During the production of ε-poly-L-lysine (ε-PL) in fed-batch fermentation, the decline of ε-PL synthesis often occurs at middle or late phase of the fermentation. To solve the problem, we adopted two strategies, namely pH shift and feeding yeast extract, to improve the productivity of ε-PL. ε-PL productivity in fermentation by pH shift and feeding yeast extract achieved 4.

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Nissin, natamycin, and ε-poly-L-lysine (ε-PL) are three safe, microbial-produced food preservatives used today in the food industry. However, current industrial production of ε-PL is only performed in several countries. In order to realize large-scale ε-PL production by fermentation, the effects of seed stage on cell growth and ε-PL production were investigated by monitoring of pH in situ in a 5-L laboratory-scale fermenter.

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Using glucose-glycerol mixed carbon source has proved to be an effective strategy for ε-poly-L-lysine (ε-PL) production with rapid cell growth and much higher ε-PL productivity. In this study, we attempt to focus on key enzymes and intracellular energy cofactors to reveal the underlying mechanisms involved in such significant improvements. The activities of key enzymes involved in the pentose phosphate pathway, TCA cycle, anaplerotic pathway and the aspartate family amino acid biosynthesis pathway as well as ε-PL synthetase showed overall enhancement with the mixed carbon source, especially in the late stages of fermentation, compared with those in either glucose or glycerol single carbon sources.

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