Hongbo Du

Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text

Hongbo Du, Zixin Lu, Jiaming Qu

Large language models (LLMs) are increasingly used for clinical text tasks such as summarization and revision. While most studies evaluate the fluency and coherence of LLM-generated text, whether LLMs correctly preserve diagnostic uncertainty remains underexplored. In clinical practice, phrases such as ``possible …

Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text

Hongbo Du, Zixin Lu, Jiaming Qu

Large language models (LLMs) are increasingly used for clinical text tasks such as summarization and revision. While most studies evaluate the fluency and coherence of LLM-generated text, whether LLMs correctly preserve diagnostic uncertainty remains underexplored. In clinical practice, phrases such as ``possible …

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Effect of High-density Planting of Flue-cured Tobacco on the Physicochemical Properties and Bacterial Community Structure of Tobacco Planting Soil

Jianbo SHAO, Yu LONG, Hongbo Du, Xianfeng LI et autres

To evaluate the potential impact of high-density planting as a yield-enhancing measure on soil health, the flue-cured tobacco variety Yunyan 99 was used as the material in this study, and two planting modes of conventional density and high density were established in …

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Intelligent Control System for Particulate Matter: Real-Time Monitoring and Pollution Source Identification for Enhanced Efficiency

Shitao Peng, Li Long-Chuang, Yin Ye, Hong Ning-ning et autres

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Experimental Assessment of Conventional Features, CNN-Based Features and Ensemble Schemes for Discriminating Benign Versus Malignant Lesions on Breast Ultrasound Images

Francesco Bianconi, Muhammad Usama Khan, Hongbo Du, Sabah Jassim

Breast ultrasound images play a pivotal role in assessing the nature of suspicious breast lesions, particularly in patients with dense tissue. Computerized analysis of breast ultrasound images has the potential to assist the physician in the clinical decision-making and improve subjective interpretation. …

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A construction method for an online monitoring and early warning system of explosion-proof electrical equipment on offshore platforms based on multi-parameter fusion

Feng Wang, H. Zheng, Yilong Zhao, Hongbo Du

The layout of explosion-proof electrical equipment on offshore oil platforms is dense, which can lead to problems such as improper sensor settings, making sensors susceptible to environmental interference, low reliability of single sensor data, and the possibility of false alarms or missed …

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Integrating multimodal ultrasound imaging for improved radiomics sentinel lymph node assessment in breast cancer

Yuan Zhang, Feng Lu, Jun Shan, Quan Jiang et autres

Background: Accurate preoperative assessment of sentinel lymph node (SLN) is critical for treatment planning in breast cancer (BC). While SLN biopsy (SLNB) remains the gold standard, it is invasive and may be unnecessary for all patients, particularly those with clinically node-negative disease. …

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Hand-crafted Vs. deep CNN features to distinguish benign from malignant lesions in breast ultrasound images

Muhammad Usama Khan, Francesco Bianconi, Hongbo Du, Sabah Jassim

Breast ultrasound imaging (BUS) plays a major role in the diagnosis of breast cancer. Consequently, computerised analysis of BUS images is being intensively investigated as a means to assist physicians in clinical decision making. The traditional approach involves the use of manually-designed …

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Thermophilic microbial agents promote the fermentation progression of spent mushroom compost and pig manure

Hongbo Du, Chongchong Lu, Jianfeng Du, Yong Liu et autres

Livestock and poultry manure, as a significant organic resource, had an enormous annual production but a utilization rate of less than 50%. Improperly managed manure had become the primary source of agricultural non-point pollution, posing severe challenges to the ecological environment. Achieving …

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Regulatory mechanisms of signaling pathways in liver cancer treatment with traditional Chinese medicine

Shihao Zheng, Tianyu Xue, Chengyuan Xue, Size Li et autres

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Comparative Study of Sentiment Analysis Techniques: Traditional Machine Learning vs. Deep Learning Approaches

Grace Oluchi Diri, Philip Obiorah, Hongbo Du

Aim/Purpose This paper presents a comparative analysis of sentiment classification models, focusing on the performance differences between lexicon-based sentiment analysis, traditional machine learning techniques, and transformer-based deep learning approaches across multiple benchmark datasets. Background While numerous methods exist for sentiment analysis, a …

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A Novel Tool for Soybean Pods and Branches Recognition by Deep Learning Based Approach

Qize Xie, Hongbo Du, Qing Yang, Zhi Liu et autres

ABSTRACT Phenotypic trait identification is crucial in cultivating new soybean varieties with high yield and quality. The traditional soybean phenotypic trait identification relies on manual pod counting and plant height measuring with a ruler. The heavy workload causes the data collected by …

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