Explanipedia

The Origin of Improved Cycle Stability of Li-O2 Batteries Using High-Concentration Electrolytes Open

Wei Fan, Xu Liu, Guangqian Li, Ke Yu, Peng Wang , et al. · 2025

The intrinsic instability of organic electrolytes seriously impedes practical applications of lithium–oxygen (Li-O2) batteries. Recent studies have shown that the use of high-concentration electrolytes can suppress the decomposition reacti…

Dynamic Characteristic Analysis and Experimental Verification of Rotor Systems in Large Synchronous Motors Open

Yanjie Liu, Jingyao Hou, Rui Li, Qingshun Bai · 2025

Large synchronous motors are typically used to drive various load equipment, such as reciprocating compressors. Due to the continuous oscillation of the load, the pulsating torque acting on the main shaft of the synchronous motor will cont…

A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation Open

Jingyao Hou, Hao Wu · 2025

In intelligent transportation systems (ITS), traffic management departments rely on sensors, cameras, and GPS devices to collect real-time traffic data. Traffic speed data is often incomplete due to sensor failures, data transmission delay…

Research on Algorithm Optimization and Application in Intelligent Class Scheduling System Open

Jingyao Hou · 2025

Based on the overall demand analysis of intelligent class scheduling system, this paper determines the overall structural design scheme of intelligent class scheduling system, and realizes the intelligent class scheduling system using soft…

Tensor recovery from quantized measurements based on modewise operators Open

Jingyao Hou, Michael K. Ng · 2025

The problem of tensor recovery from quantized measurements aims to reconstruct a low-rank tensor based on its quantized linear inner-product measurements, which has diverse applications in achieving compressed representation or efficient t…

Non-invasive diagnosis for urothelial carcinoma using a dual-target DNA methylation biomarker panel Open

Jingyao Hou, Yaqian Niu, Jiamin Yan, Junqiang Tian, Weitao Yu , et al. · 2025

We provide a comprehensive analysis of DNA methylation profiles in UC, and highlight the promising clinical potential of dual-target urine tests for UC detection.

Bioinformatic Analysis of Antibiotic-Resistance Genes, Virulence Factors, and Prophage Elements in Acinetobacter Baumannii Open

Jingyao Hou, Juan Li, Yaqian Niu, Xing Gao, Guoping Zhang , et al. · 2025

Defect-Engineered Nico2s4-X Nanosheets on Hollow Carbon Spheres as Bifunctional Separator Coating for Long-Life Lithium–Sulfur Batteries Open

Xunli Guo, Mingzhi Yang, Jingyao Hou, Junwei Yang, Qingyun Yang , et al. · 2025

Robust Hyperspectral Image Recovery from Low-Resolution Quantized Incomplete Observations Open

Yuhong He, Xinling Liu, Bochuan Zheng, Jingyao Hou, Jianjun Wang · 2025

Atomically Dispersed Cobalt Sites on Nitrogen-Doped Hollow Carbon Spheres as Efficient Electrocatalysts for High Performance Lithium-Sulfur Batteries Open

Xunli Guo, Mingzhi Yang, Jingyao Hou, Hongyun Li, Zhiqi Liu , et al. · 2025

CARM1-mediated OGT arginine methylation promotes non-small cell lung cancer glycolysis by stabilizing OGT Open

Luyao Lin, Qingxia Yuan, Jiayi Gu, Guang‐Yu Bai, Xianling Cong , et al. · 2024

O-GlcNAcylation catalyzed by O-GlcNAc transferase (OGT) plays an important role in the regulation of tumor glycolysis. However, the mechanism underlying OGT regulation remains largely unknown. Here, we showed that coactivator associated ar…

PRMT1 promotes Warburg effect by regulating the PKM2/PKM1 ratio in non-small cell lung cancer Open

Peng Lu, Yujiao Zhao, Jiang Tan, Jingyao Hou, Xin Jin , et al. · 2024

Abnormal epigenetic modifications are involved in the regulation of Warburg effect in tumor cells. Protein arginine methyltransferases (PRMTs) mediate arginine methylation and have critical functions in cellular responses. PRMTs are deregu…

PRMT1 promotes Warburg effect by regulating the PKM2/PKM1 ratio in Non-small cell lung cancer Open

Jun Lü, Lü Peng, Yujiao Zhao, Jiang Tan, Jingyao Hou , et al. · 2024

Abnormal epigenetic modifications are involved in the regulation of Warburg effect in tumor cells. Protein arginine methyltransferases (PRMTs) mediate arginine methylation and have critical functions in cellular responses. PRMTs are deregu…

Arginine methylation-dependent cGAS stability promotes non-small cell lung cancer cell proliferation Open

Xiangxiang Liu, Weiguang Zheng, Lian Zhang, Ziyi Cao, Xianling Cong , et al. · 2024

Cyclic GMP-AMP synthase (cGAS), promotes non-small cell lung cancer (NSCLC) cell proliferation. However, the specific mechanisms of cGAS-mediated NSCLC cell proliferation are largely unknown. In this study, we found asymmetric dimethylatio…

Semi-tensor product-based one-bit compressed sensing Open

Jingyao Hou, Xinling Liu · 2023

The area of one-bit compressed sensing (1-bit CS) focuses on the recovery of sparse signals from binary measurements. Over the past decade, this field has witnessed the emergence of well-developed theories. However, most of the existing li…

Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness Open

Xinling Liu, Jingyao Hou, Jiangjun Peng, Hailin Wang, Deyu Meng , et al. · 2023

A plethora of previous studies indicates that making full use of multifarious intrinsic properties of primordial data is a valid pathway to recover original images from their degraded observations. Typically, both low-rankness and local-sm…

Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling Open

Xinling Liu, Jingyao Hou · 2023

Deep learning with specific network topologies has been successfully applied in many fields. However, what is primarily called into question by people is its lack of theoretical foundation investigations, especially for structured neural n…

Efficient Ship Maneuvering Prediction with Wind, Wave and Current Effects Open

Ying Wang, Wei Du, Guanghua Li, Zhuoyue Li, Jingyao Hou , et al. · 2022

Ship maneuvering simulation is an important tool to predict the kinetic and kinematic properties of a vessel. It can estimate the manoeuvrability of a vessel in advance to optimize the ship design and avoid possible problems. Environmental…

EZH2–CCF–cGAS Axis Promotes Breast Cancer Metastasis Open

Dandan Duan, Mengjie Shang, Yanxu Han, Jiayuan Liu, Jiwei Liu , et al. · 2022

Cytoplasmic chromatin fragments (CCF) are recognized by the cytoplasmic DNA sensor cyclic GMP-AMP synthase (cGAS), which activates the cGAS–STING (cyclic GMP-AMP synthase-stimulator of interferon genes) pathway and promotes the production …

An Efficient L1-Tv Solver for 1-Bit Compressed Sensing Open

Jingyao Hou, Xinling Liu, Jianjun Wang · 2022

1-Bit Compressed Sensing via an L1-TV Regularization Method Open

Jingyao Hou, Xinling Liu · 2022

This paper considers the 1-bit compressed sensing (1-bit CS) of signals that are simultaneously sparse and gradient sparse. Since L1-norm and total variation (TV) penalties are beneficial for reconstructing element-sparse and gradient-spar…

Statistical Methods to Accommodate Censored Covariates in Regression Analysis Open

Jingyao Hou · 2021

The problem of censored covariates arises frequently in family history studies, in which an outcome of interest is regressed on the age of onset, as well as in longitudinal cohort studies, in which biomarkers may be measured post-baseline.…

Robust Reconstruction of Block Sparse Signals from Adaptively One‐Bit Measurements Open

Jingyao Hou, Jianjun Wang, Feng Zhang, Jianwen Huang · 2020

Though various theoretical results and algorithms have been proposed in one-bit Compressed sensing (1-bit CS), there are few studies on more structured signals, such as block sparse signals. We address the problem of recovering block spars…

The high-order block RIP for non-convex block-sparse compressed sensing Open

Jianwen Huang, Xinling Liu, Jingyao Hou, Jianjun Wang · 2020

This paper concentrates on the recovery of block-sparse signals, which is not only sparse but also nonzero elements are arrayed into some blocks (clusters) rather than being arbitrary distributed all over the vector, from linear measuremen…

On the distributional expansions of powered extremes from Maxwell\n distribution Open

Jianwen Huang, Xinling Liu, Jianjun Wang, Zhongquan Tan, Jingyao Hou , et al. · 2020

In this paper, asymptotic expansions of the distributions and densities of\npowered extremes for Maxwell samples are considered. The results show that the\nconvergence speeds of normalized partial maxima relies on the powered index.\nAddit…

On the distributional expansions of powered extremes from Maxwell distribution Open

Jianwen Huang, Xinling Liu, Jianjun Wang, Zhongquan Tan, Jingyao Hou , et al. · 2020

In this paper, asymptotic expansions of the distributions and densities of powered extremes for Maxwell samples are considered. The results show that the convergence speeds of normalized partial maxima relies on the powered index. Addition…

Tensor Restricted Isometry Property Analysis For a Large Class of Random Measurement Ensembles Open

Feng Zhang, Wendong Wang, Jingyao Hou, Jianjun Wang, Jianwen Huang · 2019

In previous work, theoretical analysis based on the tensor Restricted Isometry Property (t-RIP) established the robust recovery guarantees of a low-tubal-rank tensor. The obtained sufficient conditions depend strongly on the assumption tha…

Supplementary Material for: Circular RNA Expression Profiling Identifies Prostate Cancer- Specific circRNAs in Prostate Cancer Open

Qingxin Xia, Tao Ding, Guojie Zhang, Zeyu Li, Leli Zeng , et al. · 2018

Background/Aims: Prostate cancer (PCa) is one of the main cancers that damage males’ health severely with high morbidity and mortality, but there is still no ideal molecular marker for the diagnosis and prognosis of prostate …

Higher-order expansions of extremes from mixed skew-t distribution Open

Jingyao Hou, Xin Liao, Zuoxiang Peng · 2016

In this paper, we study the asymptotic behaviors of the extreme of mixed skew-t distribution. We considered limits on distribution and density of maximum of mixed skew-t distribution under linear and power normalization, and further derive…

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