Changying Wang

Robust association method based on occlusion-aware in multi-object tracking

Yanyu Zhao, Fengling Sun, Changying Wang, Jianzhang Chen et autres

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DiffusionNet++: A Robust Framework for High-Resolution 3D Dental Mesh Segmentation

Kaixin Zhang, Changying Wang, Shengjin Wang

Accurate segmentation of 3D dental structures is essential for oral diagnosis, orthodontic planning, and digital dentistry. With the rapid advancement of 3D scanning and modeling technologies, high-resolution dental data have become increasingly common. However, existing approaches still struggle to process such high-resolution …

SCD-Mediated Oleic Acid-PPARγ Self-Reinforcing Loop Drives Porcine Intramuscular Fat Deposition

Ruipeng Yang, Xixi Li, Wentong Tang, Xin Ye Qiu et autres

Intramuscular fat (IMF) deposition is a key determinant of pork quality and canonically regulated by peroxisome proliferator-activated receptor gamma (PPARγ). However, PPARγ expression levels do not always correlate directly with fat deposition, suggesting that transcript abundance alone is insufficient to account for …

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Zinc finger antiviral protein (ZAP) inhibits PCV2 replication by targeting ORF1, ORF2 and ORF3 mRNA

Minggang Lei, Changying Wang, Min Zhang, Yi Eve Sun et autres

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Experimental Study of Single-Array Active Time-Reversal Mirror Focusing Technique

Yukun Ren, Lihua Guo, Changying Wang

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LncRNA SNHG1 regulates muscle stem cells fate through Wnt/β‐catenin pathway

Changying Wang, Wenwen Wu, Junyi Chen, Heng Wang

BACKGROUND: Skeletal muscle stem cells (MuSCs) played an important role in maintaining the proper function of muscle tissues. In adults, they normally remained in a quiescent state and activated upon stimulation to undergo self-renewal or myogenic differentiation. This process was complexly regulated …

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Role and mechanism of LINC02390 and its potential target genes, CLECL1 and CD69, in immune microenvironment of lung adenocarcinoma

Haichao Luo, Ran Chen, Changying Wang, Qitian Chen

BACKGROUND: Targeted therapy and immunotherapy has brought new hope to patients with lung adenocarcinoma (LUAD) with their applications. However, the prognosis of LUAD patients is still unpromising. OBJECTIVE: It is particularly important to find the biomarkers that can predict the prognosis of …

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A study on the falls factors among the older adult with cognitive impairment based on large-sample data

Changying Wang, Yunwei Zhang, Jin Wang, Lingshan Wan et autres

Introduction: This study explored the correlative factors of falls among the older adult with cognitive impairment, to provide distinct evidence for preventing falls in the older adult with cognitive impairment compared with the general older adult population. Methods: This study was based …

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Retinoic acid signalling inhibits myogenesis by blocking MYOD translation in pig skeletal muscle cells

Changying Wang, Ruige Liu, Wenzhe Luo, Pengxiang Zhao et autres

Vitamin A is an essential nutrient in animals, playing important roles in animal health. In the pig industry, proper supplementation of vitamin A in the feed can improve pork production performance, while deficiency or excessive intake can lead to growth retardation or …

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PDED-ConvLSTM: Pyramid Dilated Deeper Encoder–Decoder Convolutional LSTM for Arctic Sea Ice Concentration Prediction

Deyu Zhang, Changying Wang, Baoxiang Huang, Jing Ren et autres

Arctic sea ice concentration plays a key role in the global ecosystem. However, accurate prediction of Arctic sea ice concentration remains a challenging task due to its inherent nonlinearity and complex spatiotemporal correlations. To address these challenges, we propose an innovative encoder–decoder …

Prediction of Sea Surface Temperature Using U-Net Based Model

Jing Ren, Changying Wang, Ling Sun, Baoxiang Huang et autres

Sea surface temperature (SST) is a key parameter in ocean hydrology. Currently, existing SST prediction methods fail to fully utilize the potential spatial correlation between variables. To address this challenge, we propose a spatiotenporal UNet (ST-UNet) model based on the UNet model. …

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MIS-Net: A deep learning-based multi-class segmentation model for CT images

Huawei Li, Changying Wang

The accuracy of traditional CT image segmentation algorithms is hindered by issues such as low contrast and high noise in the images. While numerous scholars have introduced deep learning-based CT image segmentation algorithms, they still face challenges, particularly in achieving high edge …

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