Rongrong Wang

NpWRKY38 Negatively Regulates Drought Tolerance by Impairing ABA/SA Signaling as Well as Photosynthesis in Narenga porphyrocoma

Shuangcai Li, Haibi Li, Kai Zhu, Rongrong Wang et autres

Narenga porphyrocoma, a wild relative of sugarcane with high drought tolerance, is a valuable germplasm resource for mining drought-tolerance genes. Weighted gene co-expression network analysis (WGCNA) identified NpWRKY38, a WRKY transcription factor that was significantly down-regulated under drought stress, a response that …

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NpSCI2A, a Potato Inhibitor I Protein from a Wild Sugarcane Relative, Negatively Regulates Drought Tolerance by Targeting Subtilases

Shuangcai Li, Rongrong Wang, Sijie Huang, Yanhang Tang et autres

cn (code pays fourni par la source)

Synergistic Nitrogen Removal and Community Interaction Mechanism of Immobilized Bacteria Algae Symbiosis System

Jianyang Song, Peng Xu, Zhiheng Wei, Huimin Yao et autres

Ammonium nitrogen pollution presents a significant challenge in wastewater treatment. Traditional activated sludge processes often suffer from limitations such as low efficiency and high energy consumption when treating high-ammonium nitrogen wastewater. This study utilized previously screened high-efficiency heterotrophic nitrification aerobic denitrification (HN-AD) …

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Integration of neuroscience and advanced robotics: A paradigm shift for the next generation of intelligent robots

Jinlai Sun, Rongrong Wang, Q Wang, Huijing Yao et autres

Intelligent robots are evolving from automated tools that mechanically execute preprogrammed tasks toward a more human-centric paradigm that can adapt Finally, research into to complex, unstructured environments. The core driving force behind this transformation stems from the deep interdisciplinary integration of neuroscience …

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High-dimensional test for one-sided hypotheses

Rongrong Wang, Shrabanti Chowdhury, Hanwen Huang, X Wang et autres

Advances in data acquisition technologies and computational resources have significantly improved the analysis of large datasets across various domains. These datasets often feature a high number of variables but a limited number of observations, commonly referred to as "high-dimensional data." Analyzing such …

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Research on Prediction and Prevention of Coal Spontaneous Combustion in Goaf Based on Optimized Random Forest

Chun Zhang, Rongrong Wang, Mingming Shang

Abstract This paper takes the working face of Heiyanquan Mine as the research subject. Based on the mechanism of coal self-ignition and the gas generation pattern, combined with coal oxidation and temperature rise experiments and machine learning algorithms, a prediction and early …

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Ionic liquid-armored MXene membranes enabling high-performance moisture-driven power generation

Wenjia Guo, Shiwei Chen, Yanlei Wang, Kun Li et autres

A moisture-driven power generator utilizing ionic liquids and MXene is constructed to achieve exceptional power performance under high-temperature moisture conditions.

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Recent advances and challenges of eco-friendly Ni-rich cathode slurry systems in lithium-ion batteries

Rongrong Wang, Chen Li, Xiang Ren, Keliang Zhang et autres

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Intelligent Prediction Model of Coal Spontaneous Combustion Based on Machine Learning

Chun Zhang, Shuaijie Zhang, Rongrong Wang, Xufeng Zheng

Spontaneous combustion of coal in goaf poses a significant latent threat to coal mine safety, contributing to 60% of coal mine fire incidents. The application of disparate prediction models in different coal mines is predicated on the recognition of variations in coal …

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Development of a Sex-Specific Marker for the Chinese Hooksnout Carp Opsariichthys bidens Günther, 1873 Based on Whole-Genome Resequencing and Bulked Segregant Analysis

Feng Lin, M Miao, Yuchen Wang, Dewen Ding et autres

Sex-specific markers are important basic tools for the sex-controlled breeding of farmed fish. Here, we aimed to develop a rapid yet accurate, cost-effective method for determining the genetic sex of the Chinese hooksnout carp (Opsariichthys bidens), a freshwater fish. Using whole-genome resequencing …

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Massively Parallel Lagrangian Relaxation Algorithm for Solving Large-Scale Spatial Optimization Problems Using GPGPU

Ting Lei, Rongrong Wang, Zhen Lei

Lagrangian Relaxation (LR) is an effective method for solving spatial optimization problems in geospatial analysis and GIS. Among others, it has been used to solve the classic p-median problem that served as a unified local model in GIS since the 1990s. Despite …

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The dual role of human activities: How reclamation and biological invasion reshaped blue carbon dynamics in an Urbanized Estuary

Rongrong Wang, Zhibin Lin, Chunpeng Chen, Wenting Wu

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