A5103193968- Advanced Image and Video Retrieval Techniques
- Natural Language Processing Techniques
- Image Retrieval and Classification Techniques
- Topic Modeling
- Text Readability and Simplification
- Discourse Analysis in Language Studies
- Second Language Learning and Teaching
- Text and Document Classification Technologies
- Foreign Language Teaching Methods
- Cancer-related molecular mechanisms research
- RNA Research and Splicing
- Ethics and Social Impacts of AI
- Anomaly Detection Techniques and Applications
- Human Pose and Action Recognition
- Microbial infections and disease research
- Tumors and Oncological Cases
- Gender Studies in Language
- Beetle Biology and Toxicology Studies
- Web Data Mining and Analysis
- Medical Image Segmentation Techniques
- Vasculitis and related conditions
- Second Language Acquisition and Learning
- Virology and Viral Diseases
- RNA modifications and cancer
- Nonmelanoma Skin Cancer Studies
Wuhu Fourth People Hospital
2025
Lanzhou University
2025
Lanzhou Veterinary Research Institute
2022-2025
Chinese Academy of Agricultural Sciences
2022-2025
Beijing University of Technology
2024
Stony Brook University
2023-2024
Putian University
2023
Cangzhou Central Hospital
2022
Fujitsu (China)
2013
Nanyang Technological University
2009-2012
ABSTRACT Mesangial proliferative glomerulonephritis (MsPGN) is a common type of glomerular disease characterized by immune complex deposition and inflammation in the kidney, leading to renal dysfunction. Currently, treatment options for MsPGN are limited, there need effective therapeutic interventions. Hesperidin (HSP), natural flavonoid glycoside, has shown promising anti‐inflammatory antioxidant properties various models. This study aimed investigate potential HSP explore its possible...
The paper explores the performance of LLMs in context multi-dimensional analytic writing assessments, i.e. their ability to provide both scores and comments based on multiple assessment criteria. Using a corpus literature reviews written by L2 graduate students assessed human experts against 9 criteria, we prompt several popular perform same task under various conditions. To evaluate quality feedback comments, apply novel comment evaluation framework. This framework is interpretable,...
N 6-methyladnosine (m 6 A) modification is present in both positive- and negative-strand RNA of influenza A virus (IAV) affects the replication pathogenicity IAV. However, little known about regulatory mechanism m IAV RNA. In study, we identified methylation viral different subtypes confirmed that promotes polymerase activity By mutating motifs on multiple RNAs (vRNAs) IAV, revealed deficiency vRNA suppresses expression genes vitro. addition, reduced a mouse model. Mechanistically, assembly...
This paper introduces to use semi-supervised learning for large scale image cosegmentation.Different from traditional unsupervised cosegmentation that does not any segmentation groundtruth, exploits the similarity both very limited training foregrounds, as well common object shared between number of unsegmented images.This would be a much practical way effectively cosegment related images simultaneously, where previous work poorly due variances in appearance different and lack groundtruth...
Writing a literature review (LR) in English can be daunting task for non-native English-speaking graduate students due to the complexities of this academic genre. To help raise genre awareness and develop LR writing skills, five-unit online tutorial series was designed implemented at large university Canada. The focuses on following features genre: logical structure, vocabulary, syntax, as well citation practices. Each unit includes an interactive e-book with explanations, examples, quizzes,...
In this paper, we propose a large margin framework to learn the local instance-to-class distance function using patch-based feature vectors, which satisfies property that from instance its own class should be less than other class. This is modeled as weighted combination of every patch in test image nearest training class, where weight learned through above learning phase. We evaluate proposed method on human action datasets and compare with related methods. It shown achieves promising...
In multi-label learning, an image containing multiple objects can be assigned to labels, which makes it more challenging than traditional multi-class classification task where is only one label. this paper, we propose a learning framework based on Image-to-Class (I2C) distance, recently shown useful for classification. We adjust I2C distance cater the problem by weight attached each local feature patch and formulating into large margin optimization problem. For image, constrain its weighted...
Malignant melanoma with gastric cancer is one of the most malignant tumors. However, there have been no reports on effects KAI1 and miRNA-633 survival prognosis patients cancer.Fifty were collected from October 2017 to December 2019. The clinical parameters included information, such as sex, age, tumor size, staging. RT-qPCR was used detect expression miRNA- 633. role overall explored by Pearson chi-square test, Spearman-rho correlation Univariate multivariate cox regression analyses,...
<title>Abstract</title> The number of social bots in OSNs(Online Social Networks) ,has increased significantly, which brings great risks to network security. Aiming at the problem insufficient emoji usage existing bot detection, this paper proposes a account representation method combining information and is used for detection. emojiswitch library was replace text emoji, word embedding model RoBERTa obtain tweet features. User description, user tweets, numerical properties, categorical...
English-as-a-second language (L2) graduate students often face challenges in developing academic writing skills, which can be exacerbated by a lack of timely support at institutional level. To help address this concern, an original set online tutorials with focus on the genre Literature Review was designed authors to assist international enrolled programs Canada. This paper introduces and compares multiple assessment tools employed tutorial for English L2 students. Our project pursues two...
International graduate students (IGSs) whose mother tongues are other than English known to experience difficulties with academic writing in programs offered English. The authors designed a set of extracurricular online tutorials
Artificial intelligence has been widely applied in various fields, and the evaluation supervision of its algorithms have become important issues artificial risk management. This article aims to explore challenges faced by AI algorithm regulation, propose some solutions promote effective implementation mainly explores regulatory from perspectives data privacy protection, inexplicability, fairness bias, responsibility accountability. And further analyze impact on management aspects such as...
We present three large-scale experiments on binary text matching classification task both in Chinese and English to evaluate the effectiveness generalizability of random perturbations as a data augmentation approach for NLP. It is found that can bring negative positive effects test set performance neural models, depending whether models train enough original training examples. This remains true no matter five editing operations, used augment text, are applied together or separately. Our...