Results 121 to 130 of about 790,581 (296)

Small values and functional laws of the iterated logarithm for operator fractional Brownian motion

open access: yesOpen Mathematics
The multivariate Gaussian random fields with matrix-based scaling laws are widely used for inference in statistics and many applied areas. In such contexts, interests are often Hölder regularities of spatial surfaces in any given direction.
Wang Wensheng, Dong Jingshuang
doaj   +1 more source

Limit theorems for random Dirichlet series: boundary case

open access: yesModern Stochastics: Theory and Applications
Buraczewski et al. (2023) proved a functional limit theorem (FLT) and a law of the iterated logarithm (LIL) for a random Dirichlet series ${\textstyle\sum _{k\ge 2}}\frac{{(\log k)^{\alpha }}}{{k^{1/2+s}}}{\eta _{k}}$ as $s\to 0+$, where $\alpha \gt -1/2$
Alexander Iksanov, Ruslan Kostohryz
doaj   +1 more source

Attitude Determination System for a Cubesat Experiencing Eclipse. [PDF]

open access: yesSensors (Basel), 2023
Mmopelwa K   +3 more
europepmc   +1 more source

Single‐Cell RNA Sequencing Identifies MMP11+ Cancer‐Associated Fibroblasts as Drivers of Angiogenesis and Bladder Cancer Progression

open access: yesAdvanced Science, EarlyView.
Single‐cell RNA sequencing identifies MMP11⁺ CAFs as pro‐angiogenic cells accumulating during bladder cancer progression. These cells promote angiogenesis by regulating ESM1⁺ tip endothelial cells and recruiting SPP1⁺ macrophages. Tumor‐derived BMP2 promotes their activation.
Wuwu Xu   +13 more
wiley   +1 more source

HLA‐DR⁺ Tumor Cells Show an Association with a Distinct Immune Microenvironment and CD8⁺ T‐Cell Exhaustion in HBV‐Associated Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
This study integrates scRNA‐seq, multiplex immunofluorescence, and clinical data to identify HLA‐DR⁺tumor cells uniquely enriched in Hepatocellular carcinoma (HCC) with hepatitis B virus (HBV). These cells express MHC II, associate with PD‐L1, recruit and exhaust CD8⁺T cells, predict poor survival, and serve as potential biomarkers for immunotherapy ...
Jun‐Qing Chang   +17 more
wiley   +1 more source

Deciphering Cell Type Abundance in Proteomics Data Through Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
GraphDEC constructs pseudo bulk reference data using a mixup strategy, then learns low dimensional representations via autoencoders to model intra and inter dataset relationships. These are processed through a multi view adaptive neighborhood aware GNN, integrating reference, target, and joint graphs.
Zhiming Dai   +7 more
wiley   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

open access: yesAdvanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai   +8 more
wiley   +1 more source

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