Results 101 to 110 of about 117,319,651 (289)

Fibrillarin Resists Cellular Senescence Via SIRT1‐Dependent Nicotinamide Metabolism and Its Inhibition Sensitizes Senolytic Therapy in Esophageal Squamous Cell Carcinoma

Advanced Science, EarlyView.
FBL directly binds to and stabilizes SIRT1 by blocking its ubiquitin‐proteasome degradation, thereby sustaining nicotinamide metabolism and redox homeostasis to counteract cellular senescence in ESCC. Genetic and pharmacological suppression of FBL sensitizes tumor cells to senolytic therapy.
Xing Jin, Hong Liu, Ling Gao, Lei Liu, Ji‐Bin Liu, Xiaoxia Jin, Ming‐Song Wang, Dan Liu, Li Feng, Wen‐Lian Chen   +9 more
wiley   +1 more source

A Multivariate Generalized Orthogonal Factor GARCH Model [PDF]

The paper studies a factor GARCH model and develops test procedures which can be used to test the number of factors needed to model the conditional heteroskedasticity in the considered time series vector.
Saikkonen, Pentti, Lanne, Markku
core  

Robust Stitching Interface and Deep Learning Empowered Hydrogel Human‐Machine Interface

Advanced Science, EarlyView.
A molecular design strategy is presented that exploits synergistic carboxylate anion–quaternary ammonium interactions to simultaneously strengthen the hydrogel–PET interface and the bulk hydrogel network. Integrated with deep learning signal processing, the stable hydrogel–PET interface enables consistent signal acquisition and reliable human‐machine ...
Hao Dong, Yiming Luo, Chuanliu Liu, Mahamood Modupe Rasheedat, Wenjiayi Tan, Fangyu Zhao, Yixue Zhang, Chris Connor, Hua Hou, Hamdy Khamees Thabet, Ben Bin Xu, Huige Wei   +11 more
wiley   +1 more source

Estimation o fat mass in Southern Brazilian female adolescents: development and validation of mathematical models

Revista Brasileira de Cineantropometria e Desempenho Humano
This study aimed to develop and validate the first mathematical models, based on anthropometric properties, to estimate fat mass (FM) in a heterogeneous sample of female adolescents.
Joaquim Huaina Cintra-Andrade, Wagner Luis Ripka, Leandra Ulbricht, Neiva Leite   +3 more
doaj   +1 more source

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

Advanced 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, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

Accruals, Investment and Errors-in-Variables [PDF]

We formulate well-known discretionary accruals models in an investment setting. Given that accruals basically consist of short-term investment, we introduce, (i) cash-flows, as a proxy for financial constraints and other financial markets imperfections ...
Francois Racicot, Christian Calmès, Denis Cormier, Raymond Théoret   +3 more
core  

Improved initial approximation for errors-in-variables system identification

Errors-in-variables system identification can be posed and solved as a Hankel structured low-rank approximation problem. In this paper different estimates based on suboptimal low-rank approximations are considered.
Usevich, Konstantin
core   +1 more source

Hybrid Deep Learning for Predictive Maintenance: LSTM, GRU, CNN, and Dense Models Applied to Transformer Failure Forecasting

Energies
Data is an important resource for gaining knowledge about the behavior and condition monitoring of machines, enabling the estimation of parameters and the prediction of failures. However, in industrial environments, sensor interruptions often create gaps
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, Alexandre Martins   +3 more
doaj   +1 more source

Polystyrene Nanoplastics Drive β‐Cell Dedifferentiation Through Dendritic Cell‐Intrinsic MHC‐I‐Dependent Inflammatory Crosstalk

Advanced Science, EarlyView.
Polystyrene nanoplastics disrupt pancreatic immune–endocrine homeostasis by promoting MHC‐I‐associated dendritic cell activation and inflammatory crosstalk with β cells. This immune remodeling drives β‐cell dedifferentiation, impairs insulin secretion, and aggravates metabolic dysfunction, revealing a previously unrecognized immunometabolic mechanism ...
Conghui Qiao, Yuqing Song, Fang Yang, Menghui Guo, Libin Jiang, Xiaoyue Quan, Wei Wei, Xinyang Wang, Tianshu Han, Mingyuan Liu, Wenbo Jiang   +10 more
wiley   +1 more source

Analytic and bootstrap approximations of prediction errors under a multivariate fay-herriot model [PDF]

, 2005
A Multivariate Fay-Herriot model is used to aid the prediction of small area parameters of dependent variables with sample data aggregated to area level.
Morales, Domingo, Lombardía, Maria J., González Manteiga, Wenceslao, Molina, Isabel, Santamaría, Laureano   +4 more
core   +1 more source