Guangmin Li

Addressing Hybrid Confounder Issue for Causal Session-Based Recommendation

Quan Li, XU Xin-hua, Jinjun Liu, Guangmin Li

In the field of session-based recommendation, users’ interaction behaviors are affected by both popularity and surrounding environmental factors, such as item popularity, season, or salary, and so on. Utilizing causal learning techniques to mitigate the negative impact of hybrid confounders on user …

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Chiral Cu 2− x S quantum dots and their near-infrared photothermal conversion properties

Guangmin Li, xinyu Jin, Jiayun Zheng, Shuang Li et autres

The photothermal conversion characteristics of chiral Cu 2-x S quantum dots were investigated, revealing that D-Cys-Cu 2-x S quantum dots exhibit superior performance compared to their L-Cys-Cu 2-x S counterparts.

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Exploration of the biological basis and training strategies for building athletes’ psychological resilience

Guangmin Li

Background: Psychological resilience (PR) is crucial for athletes to perform at their best and recover from failures. However, its biological basis and effective training strategies remain under-explored. Many athletes face psychological challenges that affect their overall well-being and performance. Furthermore, resilience training …

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On Demand Bioorthogonal Switching of an Antibody-Conjugated SPECT Probe to a Cytotoxic Payload: from Imaging to Therapy

Pragya Adhikari, Guangmin Li, MaryAnn Go, Danielle Mandikian et autres

Antibody-drug conjugates (ADCs) for the treatment of cancer aim to achieve selective delivery of a cytotoxic payload to tumor cells while sparing normal tissue. In vivo, multiple tumor-dependent and -independent processes act on ADCs and their released payloads to impact tumor-versus-normal delivery, …

Multi-attention Fusion for Multimodal Sentiment Classification

Guangmin Li, Xin Zeng, Chi Chen, Long Zhou

Multimodal sentiment analysis (MSA) aims to leverage information from multiple modalities (e.g., text, image, etc.) to improve sentiment classification accuracy compared to solely analyzing each modality independently. Most previous works only rely on a single fusion strategy to combine the information from …

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Building Recognition of Aerial Images Based on Improved Unet Network

Guangmin Li, Qi Song, Shude Ji, Wanzhu Liu et autres

Due to its simple and efficient design, the Unet network has demonstrated outstanding performance in the field of building identification. Compared to other networks, the Unet network has higher flexibility and detailing capabilities when dealing with buildings with complex contours and irregular …

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Research on Name Popularity Based on Neural Time Series Prediction

Li Wang, Long Zhou, Xin Zeng, Guangmin Li et autres

Parents usually consider many factors when choosing a baby name, such as the popularity of the baby name. However, predicting the baby name time series is an important means of judging the popularity. In view of the lack of use of current …

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The HER2-directed antibody-drug conjugate DHES0815A in advanced and/or metastatic breast cancer: preclinical characterization and phase 1 trial results

Gail D. Lewis Phillips, Guangmin Li, Jun Guo, Shang‐Fan Yu et autres

Approved antibody-drug conjugates (ADCs) for HER2-positive breast cancer include trastuzumab emtansine and trastuzumab deruxtecan. To develop a differentiated HER2 ADC, we chose an antibody that does not compete with trastuzumab or pertuzumab for binding, conjugated to a reduced potency PBD (pyrrolobenzodiazepine) dimer …

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Chiral quantum dots for bioapplications

Guangmin Li, Jiayun Zheng, Jiafeng Li, Jiajia Kang et autres

This article provides a comprehensive review of chiral quantum dots used for bioapplications. The chiral mechanisms, g factor and some bioapplications are also discussed.

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A Data Augmentation Approach to Sentiment Analysis of MOOC Reviews

Guangmin Li, Long Zhou, Qiang Tong, Yi Ding et autres

To address the lack of Chinese online course review corpora for aspect-based sentiment analysis, we pro-pose Semantic Token Augmentation and Replacement (STAR), a semantic-relative distance-based data augmentation method. STAR leverages natural language processing techniques such as word embedding and semantic similarity to …

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Construction and validation of a nomogram model to predict symptomatic intracranial hemorrhage after intravenous thrombolysis in elderly population with severe white matter lesions

Qiurui Nie, Yu Shen, Zhisheng Deng, Wenwen Xiang et autres

Background and Objective: Elderly people are at high prevalence of atherosclerotic cerebral infarction. Cerebral white matter lesions (WMLs) increase the risk of bleeding after intravenous thrombolysis (IVT) although they may also require the IVT. The aim of this study is to develop …

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Analysis of sleep for the American population: Result from NHANES database

Qiurui Nie, Yu Shen, Mengqin Luo, Zhi-yong Sheng et autres

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