Yufei Huang
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View article: Integrating Machine Vision and Deep Learning for Silkworm Cocoon Classification and Identification in the Industrial Internet of Things ( <scp>IIoT</scp> ) Framework
Integrating Machine Vision and Deep Learning for Silkworm Cocoon Classification and Identification in the Industrial Internet of Things ( <span>IIoT</span> ) Framework Open
Implementing efficient and high‐quality silkworm cocoon sorting is of great significance in the IIoT context. This study proposes an enhanced YOLOv5 deep learning model combined with data augmentation techniques to classify cocoon images. …
View article: Interferon alpha-inducible protein 27 (IFI27) inhibits hepatitis B virus (HBV) transcription through downregulating cellular transcription factor C/EBPα
Interferon alpha-inducible protein 27 (IFI27) inhibits hepatitis B virus (HBV) transcription through downregulating cellular transcription factor C/EBPα Open
Interferon alpha (IFNα) is the only approved immunomodulatory drug for chronic hepatitis B treatment, exerting its antiviral effects through the induction of interferon-stimulated genes (ISGs). To identify key antiviral ISGs that inhibit h…
View article: Oral Microbiome and Inferred Functions Predict Kaposi's Sarcoma Progression
Oral Microbiome and Inferred Functions Predict Kaposi's Sarcoma Progression Open
Kaposi′s sarcoma (KS) is a common cancer among people living with HIV and is caused by infection with Kaposi′s sarcoma‐associated herpesvirus (KSHV). While previous studies have linked the oral microbiome to KSHV infection and KS developme…
View article: Prophage Activation: An In Silico Platform for Identifying Prophage Regulatory Elements to Inform Phage Engineering Against Drug-Resistant Bacteria
Prophage Activation: An In Silico Platform for Identifying Prophage Regulatory Elements to Inform Phage Engineering Against Drug-Resistant Bacteria Open
Multidrug-resistant bacterial infections pose a severe global health threat, highlighting the urgent need for innovative therapeutic options beyond traditional antibiotics. Phage therapy, which employs bacteriophages to infect and eradicat…
View article: Spatial Single-Cell Atlas Reveals KSHV-Driven Broad Cellular Reprogramming, Progenitor Expansion, Immune and Vascular Remodeling in Kaposi’s Sarcoma
Spatial Single-Cell Atlas Reveals KSHV-Driven Broad Cellular Reprogramming, Progenitor Expansion, Immune and Vascular Remodeling in Kaposi’s Sarcoma Open
Summary Kaposi’s sarcoma (KS) is a highly inflammatory, angiogenic tumor driven by Kaposi’s sarcoma-associated herpesvirus (KSHV), yet the origins of tumor cells and mechanisms of progression remain unclear. Here, we present the first spat…
View article: Heterogeneous Activation of Signaling Pathways and Therapeutic Vulnerabilities in KSHV‐Associated Primary Effusion Lymphoma Cell Lines
Heterogeneous Activation of Signaling Pathways and Therapeutic Vulnerabilities in KSHV‐Associated Primary Effusion Lymphoma Cell Lines Open
Primary effusion lymphoma (PEL) is a rare and aggressive B‐cell malignancy caused by Kaposi's sarcoma‐associated herpesvirus (KSHV), with limited treatment options and poor prognosis. KSHV‐encoded proteins and miRNAs activate multiple sign…
View article: How Does Extroversion Affect an Individual's Frequency of Interaction and Self-presentation on Social Media Platforms?
How Does Extroversion Affect an Individual's Frequency of Interaction and Self-presentation on Social Media Platforms? Open
This study explores how extroversion affects an individual's frequency of interaction and self-presentation behavior on social media platforms. The importance of this research question is that with the popularity of social media, especiall…
View article: A correction algorithm for rotor-induced airflow and flight attitude changes during three-dimensional wind speed measurements made from a rotary unoccupied aerial vehicle
A correction algorithm for rotor-induced airflow and flight attitude changes during three-dimensional wind speed measurements made from a rotary unoccupied aerial vehicle Open
A hexacopter unoccupied aerial vehicle (UAV) was fitted with a three-dimensional sonic anemometer to measure three-dimensional wind speed. To obtain accurate results for three-dimensional wind speeds, we developed an algorithm to correct b…
View article: Effect of reductive soil disinfestation on melon fusarium wilt and soil metabolomics
Effect of reductive soil disinfestation on melon fusarium wilt and soil metabolomics Open
Reductive soil disinfestation (RSD) represents an environmentally eco-friendly approach for controlling Fusarium wilt, a prevalent soil-borne disease. This method not only has the potential to suppress disease occurrence but also to enhanc…
View article: A comparative evaluation of computational models for RNA modification detection using nanopore sequencing with RNA004 chemistry
A comparative evaluation of computational models for RNA modification detection using nanopore sequencing with RNA004 chemistry Open
Direct RNA sequencing from Oxford Nanopore Technologies has become a valuable method for studying RNA modifications such as N6-methyladenosine (m6A) and pseudouridine (pseU). Recent advancements in the RNA004 chemistry substantially reduce…
View article: Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges
Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges Open
Estimating single-cell responses across various perturbations facilitates the identification of key genes and enhances drug screening, significantly boosting experimental efficiency. However, single-cell sequencing is a destructive process…
View article: KSHV reprograms host RNA splicing via FAM50A to activate STAT3 and drive oncogenic cellular transformation
KSHV reprograms host RNA splicing via FAM50A to activate STAT3 and drive oncogenic cellular transformation Open
RNA alternative splicing is a fundamental cellular process implicated in cancer development. Kaposi’s sarcoma-associated herpesvirus (KSHV), the etiological agent of multiple human malignancies, including Kaposi’s sarcoma (KS), remains a s…
View article: Challenging Stereotype in Marriage and Societal System from a Film Analysis of Anatomy of a Fall
Challenging Stereotype in Marriage and Societal System from a Film Analysis of Anatomy of a Fall Open
The essay explores how to deconstruct gender stereotypes by looking at gender representations in marriage and the juridical system through a film analysis of Anatomy of a Fall. The film won the Palme d'Or award at the 76th Cannes Film Fest…
View article: VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL
VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL Open
Diffusion models have emerged as powerful generative tools across various domains, yet tailoring pre-trained models to exhibit specific desirable properties remains challenging. While reinforcement learning (RL) offers a promising solution…
View article: Table S8 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Table S8 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Table S8
View article: Figure S3 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure S3 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Figure S3
View article: Table S6 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Table S6 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Table S6
View article: Table S1 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Table S1 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Table S1
View article: Figure S2 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure S2 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Figure S2
View article: Table S4 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Table S4 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Table S4
View article: Table S7 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Table S7 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Table S7
View article: Figure S7 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure S7 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Figure S7
View article: Figure 4 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure 4 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Drug–target network in liver cancer. A, Drug–target network in liver cancer. The network was constructed by extracting drug–gene pairs associated with liver cancer from Fig. 3A, in which liver cancer was identified as a primary cancer type…
View article: Figure S2 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure S2 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Figure S2
View article: Figure 1 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure 1 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Automated LLM-based pipeline for drug–gene relationship inference. A, Pipeline design. The pipeline is designed to infer the relationship between a gene and a drug within a specific cancer type based on relevant literature. The process beg…
View article: Figure S1 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Figure S1 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Figure S1
View article: Supplementary Methods from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Supplementary Methods from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Methods
View article: Table S2 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Table S2 from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Supplementary Table S2
View article: Data from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models
Data from Inferring Drug–Gene Relationships in Cancer Using Literature-Augmented Large Language Models Open
Understanding drug–gene relationships is essential for advancing targeted cancer therapies and drug repurposing strategies. However, the vast volume of biomedical literature poses significant challenges in efficiently extracting relevant i…