Results 111 to 120 of about 3,051,269 (303)
Microglial PBRM1 deficiency drives excessive hippocampal neurogenesis by enhancing CCL5–CCR1/5 signaling, leading to autism‐like behaviors. A pro‐inflammatory IL1α+/TNFα+ microglial subset is identified as a key cellular contributor to this process. PBRM1 represses Ccl5 expression at the transcriptional level.
Yang‐Yang Duan +12 more
wiley +1 more source
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin +6 more
wiley +1 more source
Based on a multi‐omics cohort of 2002 individuals comprising high‐depth whole‐genome and metagenomic sequencing data, blood metabolites, and detailed questionnaires, we identified 138 859 high‐confidence SVs, uncovering 36 significant SV–microbiome associations and 48 SV–blood metabolite associations.
Qun Zhou +13 more
wiley +1 more source
Postoperative arteriovenous fistulas exhibit increased RBMS1 in vascular smooth muscle cells (VSMCs). In experimental AVFs, RBMS1 overexpression aggravates, whereas deletion attenuates, neointimal hyperplasia. RBMS1 binds MPZL1 mRNA and promotes exon 5 skipping to generate MPZL1‐Δ5, which interacts with G3BP1 to activate AKT, driving VSMC proliferation,
Zongda Li +14 more
wiley +1 more source
ON THE ESTIMATION OF SEPARABLE DEMAND MODELS [PDF]
Alternative stochastic specification of conditional demand models are considered. The results of LaFrance concerning the inconsistency of least squares are supported, but the class of models that allow standard instrumental variable estimation is ...
Edgerton, David L.
core
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
A new generalized binomial thinning-based INAR(1) process with Poisson–Lindley innovations
This paper considers a new parameterization of the generalized binomial thinning operator that is to be incorporated in a simple ordered integer-valued autoregressive process (INAR(1)) with the Poisson–Lindley innovations.
Emad-Eldin Aly Ahmed Aly +4 more
doaj +1 more source
Maximum Likelihood Blind Channel Estimation for Space-Time Coding Systems
Sophisticated signal processing techniques have to be developed for capacity enhancement of future wireless communication systems. In recent years, space-time coding is proposed to provide significant capacity gains over the traditional communication ...
Hakan A. Çırpan +2 more
doaj +1 more source
bdhammel/least-squares-ellipse-fitting: Initial release
<p>Fitting an Ellipse using a Least Squares method, in Python</p ...
Nick Sullivan-Molina (8154033) +3 more
core +1 more source
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim +11 more
wiley +1 more source

