Zongxi Li
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View article: RXRα modulates hepatic stellate cell activation and liver fibrosis by targeting CaMKKβ–AMPKα axis
RXRα modulates hepatic stellate cell activation and liver fibrosis by targeting CaMKKβ–AMPKα axis Open
Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a …
View article: Retrieval-augmented generation for educational application: A systematic survey
Retrieval-augmented generation for educational application: A systematic survey Open
Advancements in large language models (LLMs) have transformed AI-driven education, enabling innovative applications across various learning and teaching domains. However, LLMs still face several challenges, including hallucination and stat…
View article: Automatic Classification of Online Learner Reviews Via Fine-Tuned BERTs
Automatic Classification of Online Learner Reviews Via Fine-Tuned BERTs Open
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners’ learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for …
View article: CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering Open
Users often assume that large language models (LLMs) share their cognitive alignment of context and intent, leading them to omit critical information in question-answering (QA) and produce ambiguous queries. Responses based on misaligned a…
View article: Downregulation of the NPY-Y1R system in Grpr neurons results in mechanical and chemical hyperknesis in chronic itch
Downregulation of the NPY-Y1R system in Grpr neurons results in mechanical and chemical hyperknesis in chronic itch Open
Chronic itch remains a clinically challenging condition with limited therapeutic efficacy, posing a significant burden on patients' quality of life. Despite its prevalence, the underlying neural mechanisms remain poorly understood. In this…
View article: Sentiment analysis for stock market research: A bibliometric study
Sentiment analysis for stock market research: A bibliometric study Open
Sentiment analysis is widely utilized in stock market research. To comprehensively review the field, a bibliometric analysis was performed on 223 articles relating to sentiment analysis for stock markets from 2010 to 2022 collected from We…
View article: CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering Open
View article: MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation Open
Recent advancements in medical imaging have resulted in more complex and diverse images, with challenges such as high anatomical variability, blurred tissue boundaries, low organ contrast, and noise. Traditional segmentation methods strugg…
View article: 2D Matryoshka Sentence Embeddings
2D Matryoshka Sentence Embeddings Open
Common approaches rely on fixed-length embedding vectors from language models as sentence embeddings for downstream tasks such as semantic textual similarity (STS). Such methods are limited in their flexibility due to unknown computational…
View article: How do secondary students engage in complex problem-solving processes in a STEM project?
How do secondary students engage in complex problem-solving processes in a STEM project? Open
STEM education emphasizes improving student learning by linking abstract knowledge with real-world problems and engaging students in authentic projects to solve real-world problems. Accordingly, project-based learning has been widely promo…
View article: Cantonese to Written Chinese Translation via HuggingFace Translation Pipeline
Cantonese to Written Chinese Translation via HuggingFace Translation Pipeline Open
Cantonese, a low-resource language [5] that has been used in Southeastern China for hundreds of years, with over 85 million native speakers worldwide, is poorly supported in the mainstream language model for existing translation platforms …
View article: Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions
Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions Open
The study of causal relationships between emotions and causes in texts has recently received much attention. Most works focus on extracting causally related clauses from documents. However, none of these works has considered that the causa…
View article: LncRNA PSMB8-AS1 increases glioma malignancy via the miR-382-3p/BCAT1 axis
LncRNA PSMB8-AS1 increases glioma malignancy via the miR-382-3p/BCAT1 axis Open
Our study revealed that lncRNA PSMB8-AS1 aggravated glioma malignancy by enhancing BCAT1 expression after competitively binding to miR-382-3p. Therefore, lncRNA PSMB8-AS1 may be a potential biomarker and therapeutic target for glioma treat…
View article: Label Supervised LLaMA Finetuning
Label Supervised LLaMA Finetuning Open
The recent success of Large Language Models (LLMs) has gained significant attention in both academia and industry. Substantial efforts have been made to enhance the zero- and few-shot generalization capabilities of open-source LLMs through…
View article: Recurrent Attention Networks for Long-text Modeling
Recurrent Attention Networks for Long-text Modeling Open
Self-attention-based models have achieved remarkable progress in short-text mining. However, the quadratic computational complexities restrict their application in long text processing. Prior works have adopted the chunking strategy to div…
View article: Contrastive Learning Models for Sentence Representations
Contrastive Learning Models for Sentence Representations Open
Sentence representation learning is a crucial task in natural language processing, as the quality of learned representations directly influences downstream tasks, such as sentence classification and sentiment analysis. Transformer-based pr…
View article: Data from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway
Data from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway Open
Nur77 (also called TR3 or NGFI-B), an orphan member of the nuclear receptor superfamily, induces apoptosis by translocating to mitochondria where it interacts with Bcl-2 to convert Bcl-2 from an antiapoptotic to a pro-apoptotic molecule. N…
View article: Supplementary methods and Supplementary Figures S1-S8 from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway
Supplementary methods and Supplementary Figures S1-S8 from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway Open
The Supplementary Methods show the Synthesis of DIM-C-pPhCF3+MeSO3- (BI1071); Figure S1 shows BI1071 induces apoptosis in different cancer cell lines; Fig. S2 shows BI1071 induces apoptosis in different breast cancer cell lines; Fig. S3 sh…
View article: Data from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway
Data from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway Open
Nur77 (also called TR3 or NGFI-B), an orphan member of the nuclear receptor superfamily, induces apoptosis by translocating to mitochondria where it interacts with Bcl-2 to convert Bcl-2 from an antiapoptotic to a pro-apoptotic molecule. N…
View article: Supplementary methods and Supplementary Figures S1-S8 from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway
Supplementary methods and Supplementary Figures S1-S8 from BI1071, a Novel Nur77 Modulator, Induces Apoptosis of Cancer Cells by Activating the Nur77-Bcl-2 Apoptotic Pathway Open
The Supplementary Methods show the Synthesis of DIM-C-pPhCF3+MeSO3- (BI1071); Figure S1 shows BI1071 induces apoptosis in different cancer cell lines; Fig. S2 shows BI1071 induces apoptosis in different breast cancer cell lines; Fig. S3 sh…
View article: Recurrent Attention Networks for Long-text Modeling
Recurrent Attention Networks for Long-text Modeling Open
Self-attention-based models have achieved remarkable progress in short-text mining. However, the quadratic computational complexities restrict their application in long text processing. Prior works have adopted the chunking strategy to div…
View article: A novel dropout mechanism with label extension schema toward text emotion classification
A novel dropout mechanism with label extension schema toward text emotion classification Open
Researchers have been aware that emotion is not one-hot encoded in emotion-relevant classification tasks, and multiple emotions can coexist in a given sentence. Recently, several works have focused on leveraging a distribution label or a g…
View article: Information fusion and artificial intelligence for smart healthcare: a bibliometric study
Information fusion and artificial intelligence for smart healthcare: a bibliometric study Open
With the fast progress in information technologies and artificial intelligence (AI), smart healthcare has gained considerable momentum. By using advanced technologies like AI, smart healthcare aims to promote human beings' health and well-…
View article: Role of digitalization, digital competence, and parental support on performance of sports education in low-income college students
Role of digitalization, digital competence, and parental support on performance of sports education in low-income college students Open
Educational institutions have failed to achieve desired goals due to the lack of technology adoption, and this situation needs researchers’ emphasis. Hence, the current study examines the impact of digitalization and digital competencies a…
View article: MiR-489 serves as a tumor inhibitor in pituitary prolactinoma targeting p21-activated kinase 3
MiR-489 serves as a tumor inhibitor in pituitary prolactinoma targeting p21-activated kinase 3 Open
Purpose: To evaluate the effect of microRNA-489 (miR-489) on pituitary prolactinoma and its mechanisms of action.
Methods: MMQ and GH3 cells were transfected with miR-489, cell viability assessed with cell counting kit-8 (CCK-8), …
View article: Merging Statistical Feature via Adaptive Gate for Improved Text Classification
Merging Statistical Feature via Adaptive Gate for Improved Text Classification Open
Currently, text classification studies mainly focus on training classifiers by using textual input only, or enhancing semantic features by introducing external knowledge (e.g., hand-craft lexicons and domain knowledge). In contrast, some i…
View article: Epidemiological characteristics of 561 cases of intracerebral hemorrhage in Chengdu, China
Epidemiological characteristics of 561 cases of intracerebral hemorrhage in Chengdu, China Open
To explore the epidemiology of patients with spontaneous intracerebral hemorrhage (sICH) in Chengdu, China, we retrieved the data of patients with spontaneous cerebral hemorrhage admitted to the First Affiliated Hospital of Chengdu Medical…
View article: Centrosomal Localization of RXRα Promotes PLK1 Activation and Mitotic Progression and Constitutes a Tumor Vulnerability
Centrosomal Localization of RXRα Promotes PLK1 Activation and Mitotic Progression and Constitutes a Tumor Vulnerability Open
View article: Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification
Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification Open
The dominant text classification studies focus on training classifiers using textual instances only or introducing external knowledge (e.g., hand-craft features and domain expert knowledge). In contrast, some corpus-level statistical featu…
View article: A Mean Field Games Model for Cryptocurrency Mining
A Mean Field Games Model for Cryptocurrency Mining Open
We propose a mean field game model to study the question of how centralization of reward and computational power occur in Bitcoin-like cryptocurrencies. Miners compete against each other for mining rewards by increasing their computational…