Jianwei Shuai
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View article: Internet-delivered cognitive behavioral therapy for insomnia: The future of insomnia treatment with large language models
Internet-delivered cognitive behavioral therapy for insomnia: The future of insomnia treatment with large language models Open
With the rise in the prevalence of insomnia, cognitive behavioral therapy for insomnia (CBT-I) has become an important non-pharmacological approach to the treatment of insomnia patients. Traditional CBT-I faces challenges such as low patie…
View article: COVID-19 vaccine hesitancy among the vaccinated: a cross-sectional survey
COVID-19 vaccine hesitancy among the vaccinated: a cross-sectional survey Open
COVID-19 vaccine hesitancy was lower among males, older individuals, those who were married, those with additional private commercial insurance, and those who had a number of supportive colleagues and friends who had received the vaccine. …
View article: CANDLE: A Cross-Modal Agentic Knowledge Distillation Framework for Interpretable Sarcopenia Diagnosis
CANDLE: A Cross-Modal Agentic Knowledge Distillation Framework for Interpretable Sarcopenia Diagnosis Open
Background and Aims: Large language models (LLMs) have shown remarkable generalization and transfer capabilities by learning from vast corpora of text and web data. Their semantic representations allow cross-task knowledge transfer and rea…
View article: MIF-mediated crosstalk between THRSP+ hepatocytes and CD74+ lipid-associated macrophages in hepatic periportal zone drives MASH
MIF-mediated crosstalk between THRSP+ hepatocytes and CD74+ lipid-associated macrophages in hepatic periportal zone drives MASH Open
Background and Aims: Spatial location of steatosis is closely related to the progression of metabolic dysfunction–associated steatohepatitis (MASH), and reports suggest lipid-associated macrophages (LAMs) facilitate this progression. Howev…
View article: Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends
Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends Open
The high‐resolution three‐dimensional (3D) images generated with digital breast tomosynthesis (DBT) in the screening of breast cancer offer new possibilities for early disease diagnosis. Early detection is especially important as the incid…
View article: Active Hyperuniform Networks of Chiral Magnetic Micro-Robotic Spinners
Active Hyperuniform Networks of Chiral Magnetic Micro-Robotic Spinners Open
Disorder hyperuniform (DHU) systems possess a hidden long-range order manifested as the complete suppression of normalized large-scale density fluctuations like crystals, which endows them with many unique properties. Here, we demonstrate …
View article: Fragment Autoantigens Stimulated T‐Cell‐Immunotherapy (FAST) as a Fast Autologous Cancer Vaccine
Fragment Autoantigens Stimulated T‐Cell‐Immunotherapy (FAST) as a Fast Autologous Cancer Vaccine Open
Tumor cells often down‐regulate antigen presentation and mount an immunosuppressive microenvironment, hindering successful cancer immunotherapy and vaccine development. Additionally, due to genomic instability, tumor cells are usually hete…
View article: MAIS: an in-vitro sandbox enables adaptive neuromodulation via scalable neural interfaces
MAIS: an in-vitro sandbox enables adaptive neuromodulation via scalable neural interfaces Open
Brain-machine interfaces (BMIs) predominantly rely on static digital architectures to decode biological neuronal networks, a paradigm that is incompatible with natural neural coding in the human brain 1–4 . Bridging this gap is a critical …
View article: A Multi‐Task Self‐Supervised Strategy for Predicting Molecular Properties and FGFR1 Inhibitors
A Multi‐Task Self‐Supervised Strategy for Predicting Molecular Properties and FGFR1 Inhibitors Open
Studying the molecular properties of drugs and their interactions with human targets aids in better understanding the clinical performance of drugs and guides drug development. In computer‐aided drug discovery, it is crucial to utilize eff…
View article: ROS-induced cytosolic release of mitochondrial PGAM5 promotes colorectal cancer progression by interacting with MST3
ROS-induced cytosolic release of mitochondrial PGAM5 promotes colorectal cancer progression by interacting with MST3 Open
Aberrant release of mitochondrial reactive oxygen species (mtROS) in response to cellular stress is well known for promoting cancer progression. However, precise molecular mechanism by which mtROS contribute to epithelial cancer progressio…
View article: Application Research of Green Chelating Agents in the Remediation of Heavy-Metal-Contaminated River Sediments
Application Research of Green Chelating Agents in the Remediation of Heavy-Metal-Contaminated River Sediments Open
This study aimed to utilize chelating agents for the remediation of heavy metal (HM)-contaminated river sediments. The removal efficiency and mechanisms of the green chelating agents glutamic acid (GLDA) and methyl glycine diacetic acid (M…
View article: E-SegNet: E-Shaped Structure Networks for Accurate 2D and 3D Medical Image Segmentation
E-SegNet: E-Shaped Structure Networks for Accurate 2D and 3D Medical Image Segmentation Open
U-structure has become a foundational approach in medical image segmentation, consistently demonstrating strong performance across various segmentation tasks. Most current models are based on this framework, customizing encoder–decoder com…
View article: UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image
UNet-Att: a self-supervised denoising and recovery model for two-photon microscopic image Open
Two-photon microscopy is indispensable in cell and molecular biology for its high-resolution visualization of cellular and molecular dynamics. However, the inevitable low signal-to-noise conditions significantly degrade image quality, obsc…
View article: The network structural entropy for single-cell RNA sequencing data during skin aging
The network structural entropy for single-cell RNA sequencing data during skin aging Open
Aging is a complex and heterogeneous biological process at cellular, tissue, and individual levels. Despite extensive effort in scientific research, a comprehensive understanding of aging mechanisms remains lacking. This study analyzed agi…
View article: GRS-QA -- Graph Reasoning-Structured Question Answering Dataset
GRS-QA -- Graph Reasoning-Structured Question Answering Dataset Open
Large Language Models (LLMs) have excelled in multi-hop question-answering (M-QA) due to their advanced reasoning abilities. However, the impact of the inherent reasoning structures on LLM M-QA performance remains unclear, largely due to t…
View article: Dear‐PSM: A deep learning‐based peptide search engine enables full database search for proteomics
Dear‐PSM: A deep learning‐based peptide search engine enables full database search for proteomics Open
Peptide spectrum matching is the process of linking mass spectrometry data with peptide sequences. An experimental spectrum can match thousands of candidate peptides with variable modifications leading to an exponential increase in candida…
View article: ProPept-MT: A Multi-Task Learning Model for Peptide Feature Prediction
ProPept-MT: A Multi-Task Learning Model for Peptide Feature Prediction Open
In the realm of quantitative proteomics, data-independent acquisition (DIA) has emerged as a promising approach, offering enhanced reproducibility and quantitative accuracy compared to traditional data-dependent acquisition (DDA) methods. …
View article: SCTC: inference of developmental potential from single-cell transcriptional complexity
SCTC: inference of developmental potential from single-cell transcriptional complexity Open
Inferring the developmental potential of single cells from scRNA-Seq data and reconstructing the pseudo-temporal path of cell development are fundamental but challenging tasks in single-cell analysis. Although single-cell transcriptional d…
View article: AttnPep: A Self-Attention-Based Deep Learning Method for Peptide Identification in Shotgun Proteomics
AttnPep: A Self-Attention-Based Deep Learning Method for Peptide Identification in Shotgun Proteomics Open
In shotgun proteomics, the proteome search engine analyzes\nmass\nspectra obtained by experiments, and then a peptide-spectra match\n(PSM) is reported for each spectrum. However, most of the PSMs identified\nare incorrect, and therefore va…
View article: Incoherent feedforward loop dominates the robustness and tunability of necroptosis biphasic, emergent, and coexistent dynamics
Incoherent feedforward loop dominates the robustness and tunability of necroptosis biphasic, emergent, and coexistent dynamics Open
Biphasic dynamics, the variable-dependent ability to enhance or restrain biological function, is prevalent in natural systems. Accompanied by biphasic dynamics, necroptosis signaling also appears emergent and coexistent dynamics. However, …
View article: YTHDF1-CLOCK axis contributes to pathogenesis of allergic airway inflammation through LLPS
YTHDF1-CLOCK axis contributes to pathogenesis of allergic airway inflammation through LLPS Open
N6-methyladenosine (m6A) modification has been implicated in many cell processes and diseases. YTHDF1, a translation-facilitating m6A reader, has not been previously shown to be related to allergic airway inflammation. Here, we report that…