Shaojie Shi

RNA-seq Analysis of the Mechanisms Underlying Chalky Grain and Characterization of Two IAA Receptor Proteins OsAFB3 and OsAFB5 in Chalkiness Formation in Oryza sativa

Shaojie Shi, Huiying Wang, Wenjun Zha, An Huang et autres

Grain chalkiness is an undesirable agronomic trait that negatively affects both the yield and quality of rice (Oryza sativa). The molecular mechanisms underlying chalky grain phenotype have remained largely unclear. In this study, we selected the rice variety HK300 with a high …

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The role of electric conductivity and water wettability of carbon nanotubes cathodes on electrocatalytic reductive-oxidative degradation of chlorinated organic pollutants under aerobic conditions

Hongyun Niu, Shaojie Shi, Hao Ding, Xuwenqi Zhang et autres

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Superoxide anion radicals mediated degradation of tetrachloropicolinic acid in biochars-Fe P@Fe-FexC/O2 system with excellent reactivity durability

Hongyun Niu, Shaojie Shi, Siyu Zhu, Yuling He et autres

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Biochars-inlaided nano zero-valent iron reactors: A tool for visualized analysis of soil-nanomaterials micro-interfacial interaction in soil remediation process

Hongyun Niu, Shaojie Shi, Siyu Zhu, Yaqi Cai et autres

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The Roles of Phytohormones in Plant Defense Mechanisms Against the Brown Planthopper

Huiying Wang, Wenjun Zha, An Huang, Yan Wu et autres

Stål) is the most significant insect pest compromising rice production globally. Phytohormones, which are small organic compounds produced by plants, play a crucial role in regulating plant growth and development. Nevertheless, extensive research has established that phytohormones are essential in modulating plant …

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Identification of the Cold-Related Genes COLD11 and OsCTS11 via BSA-seq and Fine Mapping at the Rice Seedling Stage

Bian Wu, Ming‐Hui Fu, Jinghua Du, Mengjing Wang et autres

Cold stress has a significantly negative effect on the growth, development, and yield of rice. However, the genetic basis for the differences in the cold tolerance of Xian/indica and Geng/japonica rice seedlings is still largely unknown. In this study, an RIL population …

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Transcriptome analysis of biotic and abiotic stress mediated by the suction of brown planthopper in two rice cultivars

Changyan Li, Wenjun Zha, Jianyu Wang, Yan Wu et autres

RH (Rathu Heenati), an indica rice cultivar from Sri Lanka, is highly resistant to several different biotypes of brown planthopper (Nilaparvata lugens Stål, BPH). In contrast, another indica rice cultivar, TN1 (Taichung Native 1), is highly susceptible to all biotypes of BPH. …

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Low-dose CT image denoising method based on generative adversarial network

Fengyuan Jiao, YANG Zhixiu, Shaojie Shi, CAO Weiguo

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching

Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Yun Qu et autres

Instruction fine-tuning has conventionally been employed to adapt Large Language Models (LLMs) to a variety of tasks. Nonetheless, this technique often necessitates substantial computational resources, making it impractical for deployment by individuals or small-scale entities. Recently, Low-Rank Adaptation (LoRA) has become a …

Recent Advances in the Genetic and Biochemical Mechanisms of Rice Resistance to Brown Planthoppers (Nilaparvata lugens Stål)

Shaojie Shi, Huiying Wang, Wenjun Zha, Yan Wu et autres

Rice (Oryza sativa L.) is the staple food of more than half of Earth’s population. Brown planthopper (Nilaparvata lugens Stål, BPH) is a host-specific pest of rice responsible for inducing major losses in rice production. Utilizing host resistance to control N. lugens …

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Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification

Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Yun Qu et autres

Video nystagmography (VNG) is the diagnostic gold standard of benign paroxysmal positional vertigo (BPPV), which requires medical professionals to examine the direction, frequency, intensity, duration, and variation in the strength of nystagmus on a VNG video. This is a tedious process heavily …

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A DeepAR-Based Neural Network for Time Series Forecasting

Shaojie Shi, Xihe Qiu, Yajun Ru, Xiaoyu Tan

Time series forecasting has become a dynamic research field that has garnered significant attention from researchers in recent years. Its practical significance lies in enabling stakeholders to make proactive interventions and facilitate informed decision-making for individuals and society by analyzing and predicting …

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