Results 91 to 100 of about 18,244,857 (290)

Innovative Test Strip‐Based Colorimetric Sensors Integrated With Affinity Chromatography: Acetylcholinesterase Inhibitor Screening Breakthrough in Lycium Barbarum Leaves

open access: yesAdvanced Science, EarlyView.
Schematic diagrams illustrating the breakthrough in the screening of AChE inhibitors from LBL, and the research process of the pharmacodynamics of the NCP are presented. ABSTRACT Current Alzheimer's drugs exhibit limited effectiveness, highlighting the necessity for multi‐target treatments.
Yuping Sa   +11 more
wiley   +1 more source

HTMformer: Hybrid Time and Multivariate Transformer for Time Series Forecasting

open access: yesCoRR
Transformer-based methods have achieved impressive results in time series forecasting. However, existing Transformers still exhibit limitations in sequence modeling as they tend to overemphasize temporal dependencies. This incurs additional computational overhead without yielding corresponding performance gains.
Tan Wang   +3 more
openaire   +3 more sources

Tumor‐Derived Exosomal circAP2B1 Induces M2 Macrophage Polarization by Enhancing Mitochondrial Homeostasis to Promote Esophageal Squamous Cell Carcinoma Progression

open access: yesAdvanced Science, EarlyView.
ESCC‐derived exosomal circAP2B1 promotes tumor progression by reprogramming mitochondrial metabolism via the ESRRA/KPNA1/MFN2 axis to induce M2 polarization of macrophages. ABSTRACT Esophageal squamous cell carcinoma (ESCC) remodels the immunosuppressive tumor microenvironment via exosome‐mediated intercellular communication.
Yiru Wang   +5 more
wiley   +1 more source

Stress Hyperglycemia Drives CD4+ T Cell PANoptosis and Postoperative Organ Injury via Monocyte‐Derived Succinate

open access: yesAdvanced Science, EarlyView.
High glucose is linked to reduced succinate dehydrogenase activity in CD14+ monocytes, accompanied by succinate accumulation and extracellular release. Extracellular succinate exacerbates mitochondrial ROS production and mtDNA release in CD4+ T cells. Cytosolic mtDNA then activates Z‐DNA binding protein 1 (ZBP1) and engages ZBP1‐associated inflammatory
Shuai Zhao   +11 more
wiley   +1 more source

TFEformer: Temporal Feature Enhanced Transformer for Multivariate Time Series Forecasting

open access: yesIEEE Access
Transformer-based models have traditionally been the primary focus of research for addressing time series forecasting challenges. However, the emergence of recently introduced high-performance linear models has cast doubt upon the effectiveness of ...
Chenhao Ying, Jiangang Lu
doaj   +1 more source

Forecasting Australian Macroeconomic variables, evaluating innovations state space approaches [PDF]

open access: yes
Innovations state space time series models that encapsulate the exponential smoothing methodology have been shown to be an accurate forecasting tool. These models for the first time are applied to Australian macroeconomic data.
de Silva, Ashton J
core  

circZNF148 Drives Glucose Metabolism Reprogramming to Enhance Metastasis and Immune Evasion via HK1 Stabilization in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
CircZNF148 stabilizes HK1 through deubiquitinase recruitment, thereby enhancing glycolysis and lactate production. Elevated lactate promotes PD‑L1 lactylation and membrane accumulation while suppressing CD8+ T‐cell cytotoxicity, collectively facilitating immune evasion and malignant progression in TNBC.
Yuhan Jin   +17 more
wiley   +1 more source

HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting

open access: yes
18 pages, 5 figures, 5 tables, PAKDD ...
Jung Min Choi   +2 more
openaire   +3 more sources

Dynamic Bayesian models for vector time series analysis & forecasting [PDF]

open access: yes
This thesis considers the Bayesian analysis of general multivariate DLM's (Dynamic Linear Models) for vector time series forecasting where the observational variance matrices are unknown.
Barbosa, Emanuel Pimentel
core  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

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