Results 111 to 120 of about 30,188 (287)
Performance analysis of dual non-orthogonal multiple access technology in the Internet of things
With the rapid development of many technologies such as smart city,artificial intelligence and edge computing,the future Internet of things will face the problems of massive terminal access and spectrum resource constraints.A dual non-orthogonal multiple
Dongbo LI +4 more
doaj +2 more sources
This study reveals that XBP1s drives production of circTspan3, a circular RNA that strengthens cartilage by boosting anabolic activity and limiting cell death. Phosphorylated ANXA2 directs circTspan3 into exosomes, enabling paracrine repair. Exosomal circTspan3 expands growth‐plate cartilage and promotes in vivo regeneration, highlighting its promise ...
Yiming Pan +16 more
wiley +1 more source
Impact of overload factor on uplink SCMA system
Sparse code multiple access (SCMA) is regarded as a promising multiple access technology for 5G because of its excellent performance.One of the major challenges that 5G networks are facing is the massive connectivity in terms of both data volume and the ...
Hongyang ZHANG +3 more
doaj +2 more sources
Solid predominant lung adenocarcinoma exhibits an immune‐excluded, ferroptosis‐resistant niche enriched with IL4I1⁺ TAMs and TDO2⁺ myCAFs. Spatial and multi‐omics analyses reveal AhR‐driven crosstalk that promotes T cell exhaustion and therapy resistance. Blocking AhR with CH‐223191 restores ferroptosis sensitivity, and its combination with ferroptosis
Zhaoxuan Wang +16 more
wiley +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source
Utilizing dual‐site fiber photometry, this study examines cortico‐striatal coupling with cell type resolution, identifying behavior‐ and cell type‐specific cortico striatal decoupling and its dopamine‐dependent mechanism in a Parkinson's disease mouse model.
Xu‐Ran Yao +4 more
wiley +1 more source
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou +5 more
wiley +1 more source
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source

