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3,245 results on '"HE, Hai"'

1. A compact model of Escherichia coli core and biosynthetic metabolism

Author

Corrao, Marco, He, Hai, Liebermeister, Wolfram, Noor, Elad, and Bar-Even, Arren

Subjects
Quantitative Biology - Molecular Networks, Quantitative Biology - Quantitative Methods
Abstract

Metabolic models condense biochemical knowledge about organisms in a structured and standardised way. As large-scale network reconstructions are readily available for many organisms of interest, genome-scale models are being widely used among modellers and engineers. However, these large models can be difficult to analyse and visualise, and occasionally generate hard-to-interpret or even biologically unrealistic predictions. Out of the thousands of enzymatic reactions in a typical bacterial metabolism, only a few hundred comprise the metabolic pathways essential to produce energy carriers and biosynthetic precursors. These pathways carry relatively high flux, are central to maintaining and reproducing the cell, and provide precursors and energy to engineered metabolic pathways. Here, focusing on these central metabolic subsystems, we present a manually-curated medium-scale model of energy and biosynthesis metabolism for the well-studied prokaryote Escherichia coli K-12 MG1655. The model is a sub-network of the most recent genome-scale reconstruction, iML1515, and comes with an updated layer of database annotations, as well as a range of metabolic maps for visualisation. We enriched the stoichiometric network with extensive biological information and quantitative data, enhancing the scope and applicability of the model. In addition, here we assess the properties of this model in relation to its genome-scale parent and demonstrate the use of the network and supporting data in various scenarios, including enzyme-constrained flux balance analysis, elementary flux mode analysis, and thermodynamic analysis. Overall, we believe this model holds the potential to become a reference medium-scale metabolic model for E. coli., Comment: Minor stylistic changes. Extended discussion in Supplementary Information A.5

Published
2024

2. A Quantum Neural Network-Based Approach to Power Quality Disturbances Detection and Recognition

Author

Li, Guo-Dong, He, Hai-Yan, Li, Yue, Li, Xin-Hao, Liu, Hao, Wang, Qing-Le, and Cheng, Long

Subjects
Quantum Physics
Abstract

Power quality disturbances (PQDs) significantly impact the stability and reliability of power systems, necessitating accurate and efficient detection and recognition methods. While numerous classical algorithms for PQDs detection and recognition have been extensively studied and applied, related work in the quantum domain is still in its infancy. In this paper, an improved quantum neural networks (QNN) model for PQDs detection and recognition is proposed. Specifically, the model constructs a quantum circuit comprising data qubits and ancilla qubits. Classical data is transformed into quantum data by embedding it into data qubits via the encoding layer. Subsequently, parametric quantum gates are utilized to form the variational layer, which facilitates qubit information transformation, thereby extracting essential feature information for detection and recognition. The expected value is obtained by measuring ancilla qubits, enabling the completion of disturbance classification based on this expected value. An analysis reveals that the runtime and space complexities of the QNN are $O\left ( poly\left ( N \right ) \right )$ and $O\left ( N \right )$, respectively. Extensive experiments validate the feasibility and superiority of the proposed model in PQD detection and recognition. The model achieves accuracies of 99.75\%, 97.85\% and 95.5\% in experiments involving the detection of disturbances, recognition of seven single disturbances, and recognition of ten mixed disturbances, respectively. Additionally, noise simulation and comparative experiments demonstrate that the proposed model exhibits robust anti-noise capabilities, requires few training parameters, and maintains high accuracy.

Published
2024

5. Frontiers in high entropy alloys and high entropy functional materials

Author

Zhang, Wen-Tao, Wang, Xue-Qian, Zhang, Feng-Qi, Cui, Xiao-Ya, Fan, Bing-Bing, Guo, Jia-Ming, Guo, Zhi-Min, Huang, Rui, Huang, Wen, Li, Xu-Bo, Li, Meng-Ru, Ma, Yan, Shen, Zhi-Hua, Sun, Yong-Gang, Wang, De-Zhuang, Wang, Fei-Yang, Wang, Li-Qiang, Wang, Nan, Wang, Tian-Li, Wang, Wei, Wang, Xiao-Yang, Wang, Yi-Han, Yu, Fu-Jie, Yin, Yu-Zhen, Zhang, Ling-Kun, Zhang, Yi, Zhang, Jian-Yang, Zhao, Qi, Zhao, Yu-Ping, Zhu, Xin-Dong, Sohail, Yasir, Chen, Ya-Nan, Feng, Tao, Gao, Qi-Long, He, Hai-Yan, Huang, Yong-Jiang, Jiao, Zeng-Bao, Ji, Hua, Jiang, Yao, Li, Qiang, Li, Xiao-Ming, Liao, Wei-Bing, Lin, Huai-Jun, Liu, Hui, Liu, Qi, Liu, Qing-Feng, Liu, Wei-Di, Liu, Xiong-Jun, Lu, Yang, Lu, Yi-Ping, Ma, Wen, Miao, Xue-Fei, Pan, Jie, Wang, Qing, Wu, Hong-Hui, Wu, Yuan, Yang, Tao, Yang, Wei-Ming, Yu, Qian, Zhang, Jin-Yu, Chen, Zhi-Gang, Mao, Liang, Ren, Yang, Shen, Bao-Long, Wang, Xun-Li, Jia, Zhe, Zhu, He, Wu, Zhen-Duo, and Lan, Si

Published
2024
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13. Full-space trifunctional metasurface with independent control of amplitude and phase for circularly polarized waves

Author

Li Xi Ming, Zhao Yuan, Lu Ren Pan, Sun Xiao Feng, Yang Zhao, He Hai Dan, Liu Yan Hui, and Du Guo Hong

Subjects
multifunctional metasurfaces, amplitude and phase control, full space, wavefront manipulations, Physics, QC1-999
Abstract

Flexible and diverse manipulation of electromagnetic (EM) waves in half space (reflection or transmission) has facilitated strong aspiration toward full-space wave control. However, it remains challenging to achieve independent amplitude and phase control, which seriously hinder the real-world applications. Herein, an innovative strategy of trifunctional metasurface is proposed to independently and simultaneously manipulate the amplitude and phase of circular polarized waves in full space. The multifunctional design is composed of double-layer anisotropic metasurface sandwiched with a bandpass frequency selective surface, with a frequency-direction multiplexed paradigm for on-demand control of both amplitude and phase across three independent channels. To validate the concept, a multifunctional metadevice is designed and verified by simulations and experiments, showcasing arbitrary near-field and far-field power modulation in full space. Lateral and axial bifocal metalenses with desired intensity distribution are designed in two reflection channels at 9 GHz, while multibeam generator with desired spatial scatterings and power allocations is designed in transmissive channel at 13 GHz. The finding paves the way for attaining multifunctional metadevices with amplitude and phase modulation in full space, which have potential applications in high-quality imaging and high-capacity communication systems.

Published
2024
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16. Author Correction: BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Author

Manubens-Gil, Linus, Zhou, Zhi, Chen, Hanbo, Ramanathan, Arvind, Liu, Xiaoxiao, Liu, Yufeng, Bria, Alessandro, Gillette, Todd, Ruan, Zongcai, Yang, Jian, Radojević, Miroslav, Zhao, Ting, Cheng, Li, Qu, Lei, Liu, Siqi, Bouchard, Kristofer E., Gu, Lin, Cai, Weidong, Ji, Shuiwang, Roysam, Badrinath, Wang, Ching-Wei, Yu, Hongchuan, Sironi, Amos, Iascone, Daniel Maxim, Zhou, Jie, Bas, Erhan, Conde-Sousa, Eduardo, Aguiar, Paulo, Li, Xiang, Li, Yujie, Nanda, Sumit, Wang, Yuan, Muresan, Leila, Fua, Pascal, Ye, Bing, He, Hai-yan, Staiger, Jochen F., Peter, Manuel, Cox, Daniel N., Simonneau, Michel, Oberlaender, Marcel, Jefferis, Gregory, Ito, Kei, Gonzalez-Bellido, Paloma, Kim, Jinhyun, Rubel, Edwin, Cline, Hollis T., Zeng, Hongkui, Nern, Aljoscha, Chiang, Ann-Shyn, Yao, Jianhua, Roskams, Jane, Livesey, Rick, Stevens, Janine, Liu, Tianming, Dang, Chinh, Guo, Yike, Zhong, Ning, Tourassi, Georgia, Hill, Sean, Hawrylycz, Michael, Koch, Christof, Meijering, Erik, Ascoli, Giorgio A., and Peng, Hanchuan

Published
2024
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20. BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Author

Manubens-Gil, Linus, Zhou, Zhi, Chen, Hanbo, Ramanathan, Arvind, Liu, Xiaoxiao, Liu, Yufeng, Bria, Alessandro, Gillette, Todd, Ruan, Zongcai, Yang, Jian, Radojević, Miroslav, Zhao, Ting, Cheng, Li, Qu, Lei, Liu, Siqi, Bouchard, Kristofer E, Gu, Lin, Cai, Weidong, Ji, Shuiwang, Roysam, Badrinath, Wang, Ching-Wei, Yu, Hongchuan, Sironi, Amos, Iascone, Daniel Maxim, Zhou, Jie, Bas, Erhan, Conde-Sousa, Eduardo, Aguiar, Paulo, Li, Xiang, Li, Yujie, Nanda, Sumit, Wang, Yuan, Muresan, Leila, Fua, Pascal, Ye, Bing, He, Hai-yan, Staiger, Jochen F, Peter, Manuel, Cox, Daniel N, Simonneau, Michel, Oberlaender, Marcel, Jefferis, Gregory, Ito, Kei, Gonzalez-Bellido, Paloma, Kim, Jinhyun, Rubel, Edwin, Cline, Hollis T, Zeng, Hongkui, Nern, Aljoscha, Chiang, Ann-Shyn, Yao, Jianhua, Roskams, Jane, Livesey, Rick, Stevens, Janine, Liu, Tianming, Dang, Chinh, Guo, Yike, Zhong, Ning, Tourassi, Georgia, Hill, Sean, Hawrylycz, Michael, Koch, Christof, Meijering, Erik, Ascoli, Giorgio A, and Peng, Hanchuan

Subjects
Biological Sciences, Bioengineering, Networking and Information Technology R&D (NITRD), Neurosciences, Benchmarking, Microscopy, Imaging, Three-Dimensional, Neurons, Algorithms, Technology, Medical and Health Sciences, Developmental Biology, Biological sciences
Abstract

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

Published
2023

23. Exposures to particulate matters and childhood sleep disorders—A large study in three provinces in China

Author

Zhao-Huan Gui, Joachim Heinrich, Zhengmin (Min) Qian, Mario Schootman, Tian-Yu Zhao, Shu-Li Xu, Nan-Xiang Jin, He-Hai Huang, Wan-Ting He, Qi-Zhen Wu, Jing-Lin Zhang, Dao-Sen Wang, Mo Yang, Ru-Qing Liu, Xiao-Wen Zeng, Guang-Hui Dong, and Li-Zi Lin

Subjects
Particulate matter, Sleep disorders, Children, Cross-sectional study, Epidemiology, Environmental sciences, GE1-350
Abstract

Objectives: Evidence on the link between long-term ambient particulate matter (PM) exposures and childhood sleep disorders were scarce. We examined the associations between long-term exposures to PM2.5 and PM1 (PM with an aerodynamic equivalent diameter

Published
2024
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43. Neurexins control the strength and precise timing of glycinergic inhibition in the auditory brainstem

Author

He-Hai Jiang, Ruoxuan Xu, Xiupeng Nie, Zhenghui Su, Xiaoshan Xu, Ruiqi Pang, Yi Zhou, and Fujun Luo

Subjects
neurexins, glycinergic, auditory, synapse, MNTB, LSO, Medicine, Science, Biology (General), QH301-705.5
Abstract

Neurexins play diverse functions as presynaptic organizers in various glutamatergic and GABAergic synapses. However, it remains unknown whether and how neurexins are involved in shaping functional properties of the glycinergic synapses, which mediate prominent inhibition in the brainstem and spinal cord. To address these issues, we examined the role of neurexins in a model glycinergic synapse between the principal neuron in the medial nucleus of the trapezoid body (MNTB) and the principal neuron in the lateral superior olive (LSO) in the auditory brainstem. Combining RNAscope with stereotactic injection of AAV-Cre in the MNTB of neurexin1/2/3 conditional triple knockout mice, we showed that MNTB neurons highly express all isoforms of neurexins although their expression levels vary remarkably. Selective ablation of all neurexins in MNTB neurons not only reduced the amplitude but also altered the kinetics of the glycinergic synaptic transmission at LSO neurons. The synaptic dysfunctions primarily resulted from an impaired Ca2+ sensitivity of release and a loosened coupling between voltage-gated Ca2+ channels and synaptic vesicles. Together, our current findings demonstrate that neurexins are essential in controlling the strength and temporal precision of the glycinergic synapse, which therefore corroborates the role of neurexins as key presynaptic organizers in all major types of fast chemical synapses.

Published
2024
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44. Studies of the pollen characteristics and the taxonomic significance of Impatiens from the Yunnan–Guizhou Plateau

Author

He Hai-hao, Ma Ming-lan, Chen Xin-yi, Li Xin-yi, Li Fan, Zhao Qiu-yan, He Xiao-shuai, Tan Yi, Qu Su-ping, Huang Hai-quan, and Huang Mei-juan

Subjects
impatiens, micromorphology, palynology, pollen, sem, Plant culture, SB1-1110
Abstract

Impatiens is rich in germplasm resources, with more than 260 species in China. A study on the pollen micromorphology of Impatiens by scanning electron microscopy (SEM) showed that the pollen characteristics were richly diverse, and there was some correlation among the characteristics. In addition, the micromorphological index can be used for an effective cluster analysis of Impatiens. However, there was high interspecific similarity in some Impatiens, and the classification of Impatiens cannot be accurate to the species using pollen characteristics. Based on the classification conditions of Impatiens, the characteristics of the pollen structure were found to be useful to classify Impatiens into subgenera or smaller groups. The macroscopic characteristics and the number of sepals (NS) were used as references, which enabled the conclusion that there were 11 indices in the pollen micromorphological index, and the taxonomic effect was greater than the NS. In summary, the pollen micromorphology of Impatiens plays an important role in the classification of Impatiens. The purpose of this study was to explore this characteristic of Impatiens, which has some reference significance to supplement the pollen characteristics and palynological classification of Impatiens. The goal for this research was to aid in the interspecific identification and genetic breeding of Impatiens.

Published
2023
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45. Tau suppresses microtubule-regulated pancreatic insulin secretion

Author

Mangiafico, Salvatore P., Tuo, Qing-Zhang, Li, Xiao-Lan, Liu, Yu, Haralambous, Christian, Ding, Xu-Long, Ayton, Scott, Wang, Qing, Laybutt, D. Ross, Chan, Jeng Yie, Zhang, Xiang, Kos, Cameron, Thomas, Helen E., Loudovaris, Thomas, Yang, Chieh-Hsin, Joannides, Christos N., Lamont, Benjamin J., Dai, Lunzhi, He, Hai-Huai, Dong, Biao, Andrikopoulos, Sofianos, Bush, Ashley I., and Lei, Peng

Published
2023
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