Results 131 to 140 of about 343,485 (273)

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites. [PDF]

PLoS One, 2020
Casaña-Eslava RV, Ortega-Martorell S, Lisboa PJ, Candiota AP, Julià-Sapé M, Martín-Guerrero JD, Jarman IH.   +6 more
europepmc   +1 more source

Conditional independence [PDF]

Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete, 1974
openaire   +4 more sources

Myeloid‐Derived Grancalcin Promotes Periodontal Inflammation and Pathological Bone Remodeling in Periodontitis

Advanced Science, EarlyView.
Grancalcin (GCA), a myeloid‐derived protein, is enriched in gingival tissues of periodontitis patients and mouse models. Through interactions with CD44 and activation of MYH9, GCA promotes NF‐κB signaling and exacerbates periodontal inflammation and bone loss.
Min Zhou, Yao Xiao, Ziyue Xu, Chengyu Yang, Jiang Li, Ya Liu, Ping Yin   +6 more
wiley   +1 more source

Independencies Induced from a Graphical Markov Model After Marginalization and Conditioning: The R Package ggm

Journal of Statistical Software, 2006
We describe some functions in the R package ggm to derive from a given Markov model, represented by a directed acyclic graph, different types of graphs induced after marginalizing over and conditioning on some of the variables.
Giovanni M. Marchetti
doaj  

Circular RNA circNrip1 Interacts with SYNCRIP to Promote Neuropathic Pain by Stabilizing Tlr2 mRNA in Primary Sensory Neurons

Advanced Science, EarlyView.
Model of circNrip1 (cNrip1) upregulation driving neuropathic pain mechanisms. After peripheral nerve injury, increased FUS triggers the formation and upregulation of cNrip1 in injured DRG neurons. Upregulated cNrip1 recruits SYNCRIP to the 3′‐UTR of Tlr2 mRNA by binding to both, thereby promoting SYNCRIP‐triggered Tlr2 mRNA stability and increasing ...
Xiaozhou Feng, Jifang Xiao, Congcong Huang, Bao‐Chun Jiang, Bing Wang, Xu Li, Shibin Du, Tolga Berkman, Chun‐Hsien Wen, Weihua Cai, Dilip Sharma, Kun Wang, Longfei Ma, Huijuan Hu, Yuan‐Xiang Tao   +14 more
wiley   +1 more source

Detecting departures from the conditional independence assumption in diagnostic latent class models: a simulation study. [PDF]

BMC Med Res Methodol
Okkaoglu Y, Welton NJ, Jones HE.
europepmc   +2 more sources

TRAP5 Inhibition Targeting Scar‐Associated Macrophages Ameliorates Acute Kidney Injury to Chronic Kidney Disease Transition

Advanced Science, EarlyView.
This study delineates macrophage heterogeneity along the acute kidney injury to chronic kidney disease transition. Single‐cell RNA sequencing reveals a TRAP5+ scar‐associated macrophage subset driven by Spp1–Cd44 signaling and mitochondrial metabolic reprogramming.
Chenxi Wang, Yaodong Gu, Wen Du, Lin Xie, Jinwei Quan, Yu Zhao, Ye Cheng, Zhaonan Wei, Yuanyuan Sha, Yi Wang, Dechao Xu, Xiang Gao, Min Chen, Xiangchen Gu   +13 more
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Conditional Independencies under the Algorithmic Independence of Conditionals

, 2016
In this paper we analyze the relationship between faithfulness and the more recent condition of algorithmic Independence of Conditionals (IC) with respect to the Conditional Independencies (CIs) they allow. Both conditions have been extensively used for causal inference by refuting factorizations for which the condition does not hold.
openaire   +1 more source