Shuming Cao

Screening Biomarkers for Nerve Injury Using Weighted Gene Co‐Expression Network Analysis and Machine Learning

Shuming Cao, Chengyue Yu, Nana Wang, Jianhua Xu et autres

BACKGROUND: Nerve injury triggers complex molecular responses involving immune activation and neuronal damage, yet the key regulatory genes and their mechanisms remain poorly understood. Here, we integrated multi-transcriptomic datasets and machine learning to identify and validate novel biomarkers of nerve injury and …

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A Method for Locating Abnormal Resets in Embedded Computer Systems

Kai Qiang, Xinyao Li, Shuming Cao

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Significance of LRFN4 in prognosis and tumor microenvironment of lung adenocarcinoma

Nana Wang, Shuming Cao, Xiaofeng Tan, Meirong Liu

Background LRFN4 is expressed in various tumors and leukemia cell lines. This study aims to explore the effect of LRFN4 in lung adenocarcinoma (LUAD). Methods The data on LUAD patients were collected from the Cancer Genome Atlas and Gene Expression Omnibus database. …

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A bearing fault diagnosis and monitoring software system based on lightweight neural networks to resist coloured noise

Wujiu Pan, Yinghao Sun, Shuming Cao, K.-S. Kong et autres

In actual industrial sites, the application of bearings is becoming increasingly widespread. In order to better monitor the faults of bearings, this article combines the concept of deep learning and designs a bearing fault diagnosis and monitoring software system based on lightweight …

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Prediction of syngas production in the gasification process of biomass employing adaptive neuro-fuzzy inference system along with meta-heuristic algorithms

Heng Wang, Shuming Cao, Xi Liu

Abstract Compared to fossil fuels, biomass fuels have minimal sulfur content, lower ash production, and significantly reduced emissions. The global need to reduce dependence on imported energy sources and preserve dwindling fossil fuel reserves underscores the importance of utilizing alternative energy resources. …

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Using APSIM to optimize corn nitrogen fertilizer application levels in alfalfa-corn rotation system in Northeast China

Yuxing Peng, Feixia Zhang, Shuai Zhang, Zizhong Li et autres

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Predictive value of immediate early response 5 like (IER5L) in the prognosis and immune checkpoint blockade therapy of non-small cell lung cancer patients

Nana Wang, Xiaofeng Tan, Shuming Cao, Meirong Liu

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Modeling long-term nitrogen utilization under alfalfa–corn rotation in Northeast China

Yuxing Peng, Feixia Zhang, Wei Han, Zizhong Li et autres

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A multi convolution pooling group fault diagnosis model with high generalization across data sets and large receptive field characteristics considering industrial environmental noise

Wujiu Pan, Shuming Cao, Liang Xu, Yinghao Sun et autres

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The Application of Sesamoid Position in Diagnosing Thumb Metacarpophalangeal Joint Dorsal Dislocation: A Retrospective Study

Jianhua Xu, Li Han, Bo Zhang, Shuming Cao et autres

OBJECTIVES: The position of sesamoid of thumb metacarpophalangeal (MCP) joint changed clearly when the joint was dislocated dorsally. However, the significance of sesamoid location in diagnosing joint dislocation was unclear. The present study aimed to explore the positional relationship between sesamoid bone …

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A SENet-TSCNN model developed for fault diagnosis considering squeeze-excitation networks and two-stream feature fusion

Wujiu Pan, Yinghao Sun, R. C. H. Cheng, Shuming Cao

Abstract The increase in the number of channels for extracting bearing fault features can to some extent enhance diagnostic performance. Therefore, this article proposes a SENet (squeeze and excitation network)—TSCNN (two flow convolutional neural network) model with high accuracy and generalization characteristics …

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Study on the Adsorption Deformation of a Substrate via Spin Coating Based on the 3D-DIC Method and Its Effect on the Homogeneity of Perovskite Films

Chunhua Ren, Zhishun Zhou, Shuming Cao, Mengting Jiao et autres

The physical and chemical stability of perovskite films has always been a key issue for their industrialization, which has been extensively studied in terms of materials, environment, and encapsulation. Spin coating is one of the most commonly used methods for the preparation …

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