Ruijie Zhang

Mechanistic Insight into Self-Gelation Involved in Prescription Design for Optimization of Tablet Performance

Xiaoqian Liu, Weitao Fang, Ruijie Zhang, Wuheng Yue et autres

Some drugs undergo gelation during the formulation development process, which not only poses significant challenges to the manufacturing process of solid dosage forms but also significantly restricts the drug dissolution and absorption. Could such gelation be utilized by designing the prescription to …

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Nano-TiN particles toughened Si3N4 ceramic materials by gas pressure sintering: The effect of TiN contents

Ni Zou, L D Zhang, Zhihao Wang, Hao Wu et autres

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LLMaaD: LLM-Based Multi-Agent Framework for Interpretable Log Anomaly Detection

Huaxiao Yin, Hui Chen, Ruijie Zhang, Kai Zhang

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Integrating machine learning and single-cell sequencing to reveal the role of kinase-related genes in subtype classification and prognostic significance of lung squamous cell carcinoma

Yan Lv, Zhihan Xiao, Xu Zhan, Wei Tang et autres

BACKGROUND: Lung squamous cell carcinoma (LUSC) exhibits poor prognosis and a highly complex tumor immune microenvironment (TIME), creating an urgent clinical need for novel biomarkers to guide personalized treatment. Although kinase-related genes (KRGs) play a central role in signal transduction and malignant …

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Maltol induces diabetic fragility fractures by disrupting the balance of bone remodeling

Jinyang Wang, Ziyuan Wang, Feng Jinyi, Ying Zhang et autres

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AI in the Chair: A Multi‐Centre Study of Doctor AI Answering Orthodontic Patient Questions

Ruijie Zhang, Melody Liu, Olivia Liong, Leo Liu et autres

Objectives: To investigate the performance of Doctor AI in answering frequently asked questions (FAQs) and to analyse the advantages and potential limitations. Methods: Twenty validated FAQs were entered into ChatGPT‐4 and DeepSeek‐v3 to compare the responses generated by the two models and …

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[Research progress of multimodal magnetic resonance imaging brain tumor segmentation based on fused neural network model].

Weimian Yang, Chao Du, Ruijie Zhang, Steven S. Keung

In clinical diagnosis of brain tumors, accurate segmentation based on multimodal magnetic resonance imaging (MRI) is essential for determining tumor type, extent, and spatial boundaries. However, differences in imaging mechanisms, information emphasis, and feature distributions among multimodal MRI data have posed significant …

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Mechanistic insight into self-gelation involved in dissolution and permeability enhancement of novel indomethacin tablets

Han Jiawei, Weitao Fang, Ruijie Zhang, Zhiwei Xiong et autres

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[Research progress on quantitative magnetic susceptibility imaging reconstruction method based on improved U-network model].

Weimian Yang, Ruijie Zhang, Steven S. Keung

Quantitative magnetic susceptibility imaging (QSM) is an imaging method based on magnetic resonance imaging (MRI) phase signal processing and inversion to obtain tissue magnetic susceptibility distribution, which can generate images reflecting the magnetic characteristics of tissues. QSM reconstruction process is complex, in …

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A survey of U-Net variant network for MRI brain tumor segmentation

Wenyang Yang, Ruijie Zhang, Steven Kwok Keung Chow, Zhiming Li

Accurate segmentation of tumors and lesions in biomedical images is essential for assisting clinicians in assessing disease severity and developing effective treatment plans. Among various segmentation methods, U-Net has become the most widely adopted architecture due to its strong performance and suitability …

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Integrative genomics characterizes HCC eRNAs for prognosis and targeted therapy

Zhengxin Chen, Limei Wang, Jiaqi Chen, Lingxu Li et autres

Hepatocellular carcinoma (HCC), a leading cause of cancer-related mortality globally, exhibits limited diagnostic and therapeutic biomarkers despite its clinical significance. Emerging evidence has positioned enhancer RNAs (eRNAs) as pivotal regulators in tumorigenesis, prompting this study to systematically identify HCC-specific eRNA signatures and …

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Construction of computer-aided teaching effect evaluation index system in the development of PCK for physical education teachers

Ruijie Zhang, Juncai Zhi, Yongsong Huang

With the rapid advancement of information technology, education, particularly Computer-Assisted Instruction (CAI), has undergone significant transformation. CAI improves teaching efficiency, enhances educational content, and promotes student-teacher interaction while fostering students’ autonomous learning abilities. Despite its widespread adoption, the effectiveness of CAI varies …

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