Results 81 to 90 of about 437,723 (274)

Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression

Advanced Science, EarlyView.
This study identifies elevated taurocholic acid (TCA) in Major Depressive Disorder patients. Gut microbiome‐associated TCA impairs hippocampal neurogenesis, triggers microglia activation, and elicits depression‐like behavior in mice via the S1PR2. In patients, functional neuroimaging reveals that serum TCA levels correlate with altered functional ...
Xiaoying Cai, Taipeng Sun, Mengzhen Feng, Gang Chen, Junchi Zhou, Hong Zhuang, Dan Wang, Ying Chen, Zhen Cheng, Zhi Xu, Xiao Zheng, Xueli Zhang, Yonggui Yuan   +12 more
wiley   +1 more source

Locally Shared Features: An Efficient Alternative to Conditional Random Field for Semantic Segmentation

IEEE Access, 2019
In recent years, semantic segmentation methods based on fully convolutional networks (FCNs) have achieved great success. However, these methods tend to produce inconsistency and isolated class labels, mainly because the end-to-end mapping of FCN ...
Zhengeng Yang, Hongshan Yu, Wei Sun, Zhihong Mao, Mingui Sun   +4 more
doaj   +1 more source

Factorizing Probabilistic Graphical Models Using Co-occurrence Rate [PDF]

, 2011
Factorization is of fundamental importance in the area of Probabilistic Graphical Models (PGMs). In this paper, we theoretically develop a novel mathematical concept, \textbf{C}o-occurrence \textbf{R}ate (CR), for factorizing PGMs.
Zhu, Zhemin
core   +2 more sources

Assessing Map Quality Using Conditional Random Fields

, 2008
This paper is concerned with assessing the quality of work-space maps. While there has been much work in recent years on building maps of ¯eld settings, little attention has been given to endowing a machine with introspective competencies which would allow assessing the reliability/plausibility of the representation.
Chandran-Ramesh, Manjari, Newman, Paul
openaire   +3 more sources

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Nurr1 Orchestrates Claustrum Development and Functionality

Advanced Science, EarlyView.
Nurr1 (Nr4a2) is the master transcription factor to control claustrum morphogenesis and cell fate decision postmitotically by inhibiting intracellular G‐protein signaling. Nurr1 deficiency alters the transcriptomic profiles of subcortical claustral neurons into neocortical insular neurons, resulting in defected claustrum development, impaired axonal ...
Kuo Yan, Andrew G. Newman, Pauline Lange, Susanne Müller, Marco Foddis, Stefan Paul Koch, Philipp Böhm‐Sturm, Maron Mantwill, Carsten Finke, Penghui Deng, Melissa Long, Dietmar Schmitz, Victor Tarabykin   +12 more
wiley   +1 more source

On the continuity of the vector valued and set valued conditional expectations

International Journal of Mathematics and Mathematical Sciences, 1989
In this paper we study the dependence of the vector valued conditional expectation (for both single valued and set valued random variables), on the σ–field and random variable that determine it. So we prove that it is continuous for the L1(X) convergence
Nikolaos S. Papageorgiou
doaj   +1 more source

Equivalent Mixing Conditions for Random Fields

The Annals of Probability, 1993
Let \(X_ t\), \(t \in R^ d\), \(d \geq 2\), be a strictly stationary random field, \(\| t \|\) be a Euclidean norm in \(R^ d\), \[ \alpha({\mathcal A},{\mathcal B})=\sup | P(AB)-P(A) P(B) |,\quad A \in {\mathcal A},B \in {\mathcal B}, \] \[ \rho({\mathcal A},{\mathcal B})=\sup | \text{corr} (V,W) |,\quad V \in {\mathcal L}_ 2({\mathcal A}),\;W \in ...
openaire   +2 more sources

Endometrial Assembloid Model Reveals Endometrial Gland Development Regulation by Estradiol‐Driven WNT7B Suppression

Advanced Science, EarlyView.
This study developed a 3D endometrial assembloid model to study how uterine glands form and develop. They discovered key interactions between different cell types and identified WNT7B as a regulator controlled by estradiol‐mediated TGFβ1‐VDR interaction.
Xintong Li, Yanjie Guo, Jianlin Li, Yimeng Li, Leqian Lin, Hoi Kit Matthew Leung, Qingqing Zhang, Kai‐Fai Lee, Ka‐Wang Cheung, Ernest H. Y. Ng, William S. B. Yeung, Philip C. N. Chiu, Cheuk‐Lun Lee   +12 more
wiley   +1 more source

Road detection based on the fusion of Lidar and image data

International Journal of Advanced Robotic Systems, 2017
In this article, we propose a road detection method based on the fusion of Lidar and image data under the framework of conditional random field. Firstly, Lidar point clouds are projected into the monocular images by cross calibration to get the sparse ...
Xiaofeng Han, Huan Wang, Jianfeng Lu, Chunxia Zhao   +3 more
doaj   +1 more source