Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Gen Zheng"'
Autor:
Xiaojiao Hua, Chen Zhao, Jianbo Tian, Junbao Wang, Xiaoping Miao, Gen Zheng, Min Wu, Mei Ye, Ying Liu, Yan Zhou
Publikováno v:
eLife, Vol 13 (2024)
The β-catenin-dependent canonical Wnt signaling is pivotal in organ development, tissue homeostasis, and cancer. Here, we identified an upstream enhancer of Ctnnb1 – the coding gene for β-catenin, named ieCtnnb1 (intestinal enhancer of Ctnnb1), w
Externí odkaz:
https://doaj.org/article/362cc2a2688f47b3a16466bfc2efd6e0
Publikováno v:
Cell & Bioscience, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Background Our recent studies found that intestinal mechanical signals can regulate mucus synthesis and secretion of intestinal goblet cells through piezo type mechanosensitive ion channel component 1 (Piezo1), but the detailed molecular mec
Externí odkaz:
https://doaj.org/article/8e52f64d55704f11b32056e6411674b7
Autor:
Gen Zheng, Suya Pang, Junbao Wang, Fangyu Wang, Qi Wang, Lili Yang, Mengdie Ji, Dejian Xie, Shengtao Zhu, Yang Chen, Yan Zhou, Gerald A. Higgins, John W. Wiley, Xiaohua Hou, Rong Lin
Publikováno v:
iScience, Vol 26, Iss 7, Pp 107137- (2023)
Summary: Stress-elevated glucocorticoids cause circadian disturbances and gut-brain axis (GBA) disorders, including irritable bowel syndrome (IBS). We hypothesized that the glucocorticoid receptor (GR/NR3C1) might cause chromatin circadian misalignme
Externí odkaz:
https://doaj.org/article/7ecff91d6d2a48e4b6c3b14ad11b47fe
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 2, Iss 4, Pp 53-63 (2019)
Sound velocity profile (SVP) data is indispensable in the multi-beam data processing. The sampling density is of great importance for SVP to represent the vertical variation of sound velocity accurately and guarantee the accuracy of sound ray tracing
Externí odkaz:
https://doaj.org/article/65f76e847d0a483f9e18d6ec2e22382c
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4401 (2021)
With the increasing number of underwater pipeline investigation activities, the research on automatic pipeline detection is of great significance. At this stage, object detection algorithms based on Deep Learning (DL) are widely used due to their abi
Externí odkaz:
https://doaj.org/article/a9e6144e15a04f389958b3deb25ad5ce
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3565 (2021)
Horizon picking from sub-bottom profiler (SBP) images has great significance in marine shallow strata studies. However, the mainstream automatic picking methods cannot handle multiples well, and there is a need to set a group of parameters manually.
Externí odkaz:
https://doaj.org/article/16a5d609e0d949948d13839110bab96e
Real-Time Underwater Maritime Object Detection in Side-Scan Sonar Images Based on Transformer-YOLOv5
Publikováno v:
Remote Sensing, Vol 13, Iss 18, p 3555 (2021)
To overcome the shortcomings of the traditional manual detection of underwater targets in side-scan sonar (SSS) images, a real-time automatic target recognition (ATR) method is proposed in this paper. This method consists of image preprocessing, samp
Externí odkaz:
https://doaj.org/article/85d4fdeabcd748a9914d572c767bf7ff
Autor:
Gen Zheng, Gordon Victor Fon, Walter Meixner, Amy Creekmore, Ye Zong, Michael K. Dame, Justin Colacino, Priya H. Dedhia, Shuangsong Hong, John W. Wiley
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Chronic stress and elevated glucocorticoid hormone are associated with decreases in the intestinal epithelial tight junction protein claudin-1 (CLDN1). Human/rat CLDN1 promoters contain glucocorticoid response elements (GREs) and adjacent tr
Externí odkaz:
https://doaj.org/article/cc1acb31c98d44d5ae13a9ebbff35213
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1945 (2021)
Determining the altitude of side-scan sonar (SSS) above the seabed is critical to correct the geometric distortions in the sonar images. Usually, a technology named bottom tracking is applied to estimate the distance between the sonar and the seafloo
Externí odkaz:
https://doaj.org/article/03f38fe4e22b468e836f18896c1557db
A Hovercraft-Borne LiDAR and a Comprehensive Filtering Method for the Topographic Survey of Mudflats
Publikováno v:
Remote Sensing, Vol 11, Iss 14, p 1646 (2019)
To obtain the mudflat topography when existing measuring systems and data processing methods are impracticable under special conditions, this paper presents a hovercraft-borne LiDAR (light detection and ranging) system and a novel comprehensive filte
Externí odkaz:
https://doaj.org/article/ce243b2599584afda890296235d2e38d