Zhibo Wang
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View article: The metformin mediated MAPK signaling pathway influences D-Xylose regulation during diabetic kidney disease therapy
The metformin mediated MAPK signaling pathway influences D-Xylose regulation during diabetic kidney disease therapy Open
Metformin alleviates DKD through multi-modal mechanisms, modulating the MAPK signaling pathway and carbohydrate metabolites-notably D-xylose. As far as we are aware, these findings provide new mechanistic insights and suggest potential bio…
View article: Cell membrane biomimetic nanoplatforms: a new strategy for immune escape and precision targeted therapy
Cell membrane biomimetic nanoplatforms: a new strategy for immune escape and precision targeted therapy Open
Cell membrane biomimetic nanoplatforms represent an innovative approach to addressing key challenges in nanodrug delivery systems by encapsulating natural cell membranes onto nanomaterials. This strategy confers unique biological propertie…
View article: Metabolite‐Guided Acetylation Therapy: Astragaloside IV Reverses Diabetic Nephropathy via Gna13‐Driven Purine Metabolic Reprogramming
Metabolite‐Guided Acetylation Therapy: Astragaloside IV Reverses Diabetic Nephropathy via Gna13‐Driven Purine Metabolic Reprogramming Open
Diabetic nephropathy (DN) exhibits profound metabolic dysregulation, yet the spatial organization and posttranslational control of pathogenic pathways remain poorly understood. This study integrates high‐resolution MALDI mass spectrometry …
View article: Hybrid and Ensemble Machine Learning Approaches for Predicting Axial Load Capacity in Rectangular CFST Stub Columns
Hybrid and Ensemble Machine Learning Approaches for Predicting Axial Load Capacity in Rectangular CFST Stub Columns Open
Concrete-filled steel tubular (CFST) columns are widely utilized in Structural Engineering because of their outstanding Load-Bearing Capacity (LBC) and ductility. Current design codes offer inconsistent predictions for Axial Load Capacity …
View article: MR-AIV reveals <i>in vivo</i> brain-wide fluid flow with physics-informed AI
MR-AIV reveals <i>in vivo</i> brain-wide fluid flow with physics-informed AI Open
The circulation of cerebrospinal and interstitial fluid plays a vital role in clearing metabolic waste from the brain, and its disruption has been linked to neurological disorders. However, directly measuring brain-wide fluid transport—esp…
View article: Integrated Omics Reveal Dendrobium nobile Lindl.’s Anti-Diabetic Mechanisms via Arginine/Proline and Glycerophospholipid Pathways
Integrated Omics Reveal Dendrobium nobile Lindl.’s Anti-Diabetic Mechanisms via Arginine/Proline and Glycerophospholipid Pathways Open
Background/Objectives: Dendrobium nobile Lindl. (DNL), a traditional dietary supplement, exhibits therapeutic potential for type 2 diabetes mellitus (T2DM), yet its mechanisms remain unclear. Methods: T2DM was induced in db/db mice. DNL (1…
View article: Artificial intelligence security and privacy: a survey
Artificial intelligence security and privacy: a survey Open
Artificial intelligence (AI) is revolutionizing both industries and reshaping the global economy. However, the rapid advancement of AI technologies brings significant security and privacy challenges. Recent incidents highlight vulnerabilit…
View article: Genetic mechanisms, brain structures, and peripheral biomarkers mediate the relationship between physical frailty and neuropsychiatric disorders
Genetic mechanisms, brain structures, and peripheral biomarkers mediate the relationship between physical frailty and neuropsychiatric disorders Open
This study provides comprehensive evidence linking physical frailty to brain dysfunction, suggesting that early frailty intervention is a potential strategy for preventing brain dysfunction and neuropsychiatric disorder.
View article: Spatially segregated multiomics decodes metformin-mediated functional-specific metabolic characteristics in diabetic kidney disease
Spatially segregated multiomics decodes metformin-mediated functional-specific metabolic characteristics in diabetic kidney disease Open
Understanding the specific metabolic changes in multiple regions of the kidney is crucial to revealing the underlying mechanism and developing effective targets for diabetic nephropathy (DN). In this study, integrated spatially resolved me…
View article: AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption
AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption Open
Federated fine-tuning has emerged as a promising approach to adapt foundation models to downstream tasks using decentralized data. However, real-world deployment remains challenging due to the high computational and communication demands o…
View article: Integrated metabolomics and proteomics revealed astragaloside IV inhibiting Pdxk-mediated vitamin B6 metabolism based on liquid chromatography-tandem mass spectrometry combined with pattern recognition and correlation analysis
Integrated metabolomics and proteomics revealed astragaloside IV inhibiting Pdxk-mediated vitamin B6 metabolism based on liquid chromatography-tandem mass spectrometry combined with pattern recognition and correlation analysis Open
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Unique metabolic needs of cells highlight the potential for fruitful drug and t…
View article: JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit
JailbreakLens: Interpreting Jailbreak Mechanism in the Lens of Representation and Circuit Open
Despite the outstanding performance of Large language Models (LLMs) in diverse tasks, they are vulnerable to jailbreak attacks, wherein adversarial prompts are crafted to bypass their security mechanisms and elicit unexpected responses. Al…
View article: Berberine Mediates Exosomes Regulating the Lipid Metabolism Pathways to Promote Apoptosis of RA-FLS Cells
Berberine Mediates Exosomes Regulating the Lipid Metabolism Pathways to Promote Apoptosis of RA-FLS Cells Open
Objectives: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint damage and commonly linked to symptoms such as inflammation, swelling, and pain. Traditional Chinese Medicine offers complementary and integrative…
View article: Fluorinated Benzothiadiazole-Based Polymers for Organic Solar Cells: Progress and Prospects
Fluorinated Benzothiadiazole-Based Polymers for Organic Solar Cells: Progress and Prospects Open
The integration of fluorinated benzothiadiazole (FBT) into donor-acceptor (D-A) copolymers represents a major advancement in the field of organic solar cells (OSCs). The fluorination process effectively fine-tunes the energy levels, reduce…
View article: Regulating Intermolecular Interactions and Film Formation Kinetics for Record Efficiency in Difluorobenzothiadizole‐Based Organic Solar Cells
Regulating Intermolecular Interactions and Film Formation Kinetics for Record Efficiency in Difluorobenzothiadizole‐Based Organic Solar Cells Open
The difluorobenzothiadizole (ffBT) unit is one of the most classic electron‐accepting building blocks used to construct D‐A copolymers for applications in organic solar cells (OSCs). Historically, ffBT‐based polymers have achieved record p…
View article: Comparative analysis of machine learning and traditional models for financial option pricing
Comparative analysis of machine learning and traditional models for financial option pricing Open
This study conducts a comparative analysis of traditional and machine learning models for financial option pricing, using historical stock prices and interest rates data. Traditional models such as the Black-Scholes, Heston, Merton Jump-Di…
View article: TFAP2A-activated ITGB4 promotes lung adenocarcinoma progression and inhibits CD4+/CD8+ T-cell infiltrations by targeting NF-κB signaling pathway
TFAP2A-activated ITGB4 promotes lung adenocarcinoma progression and inhibits CD4+/CD8+ T-cell infiltrations by targeting NF-κB signaling pathway Open
ITGB4 was transcriptionally activated by TFAP2A, and could promote LUAD progression and inhibit CD4+/CD8+ T-cell infiltrations by activating the NF-κB signaling pathway. ITGB4 may serve as a potential immunotherapeutic target of LUAD.
View article: PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark
PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark Open
Recently, point clouds have been widely used in computer vision, whereas their collection is time-consuming and expensive. As such, point cloud datasets are the valuable intellectual property of their owners and deserve protection. To dete…
View article: Motion Response of the Submersible Underwater Towed System as Cable Length Changes
Motion Response of the Submersible Underwater Towed System as Cable Length Changes Open
Submersible underwater towed systems usually need to transition from steady-state motion to maneuvering motion during operation while dynamically adjusting the length of the towed cable. The lumped mass approach was employed to convert the…
View article: Analysis of the Influence of Distributed Photovoltaic Access on the Operation Quality of Asymmetry Distribution Network
Analysis of the Influence of Distributed Photovoltaic Access on the Operation Quality of Asymmetry Distribution Network Open
Distributed photovoltaic(PV) power generation, as a highly flexible renewable energy source, is currently developing rapidly and has been widely used. However, due to its uncertainty and randomness, large-scale distributed photovoltaic int…
View article: Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning
Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning Open
Federated Learning (FL) exhibits privacy vulnerabilities under gradient inversion attacks (GIAs), which can extract private information from individual gradients. To enhance privacy, FL incorporates Secure Aggregation (SA) to prevent the s…
View article: Textual Unlearning Gives a False Sense of Unlearning
Textual Unlearning Gives a False Sense of Unlearning Open
Language Models (LMs) are prone to ''memorizing'' training data, including substantial sensitive user information. To mitigate privacy risks and safeguard the right to be forgotten, machine unlearning has emerged as a promising approach fo…