A Multiple Interfaces and Multiple Services Residential Gateway Scheme

Author(s):  
Wenyao Yan ◽  
Zhixiao Wang ◽  
Kewang Zhang ◽  
Junhuai Li ◽  
Deyun Zhang
2019 ◽  
Vol 13 (5) ◽  
pp. 569-577
Author(s):  
Zhong Tian ◽  
Jun Wang ◽  
Jintao Wang ◽  
Jian Song

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Qing Zhong ◽  
Yanyu Zhao ◽  
Fangfei Ye ◽  
Zaiyu Xiao ◽  
Gaoxingyu Huang ◽  
...  

AbstractWntless (WLS), an evolutionarily conserved multi-pass transmembrane protein, is essential for secretion of Wnt proteins. Wnt-triggered signaling pathways control many crucial life events, whereas aberrant Wnt signaling is tightly associated with many human diseases including cancers. Here, we report the cryo-EM structure of human WLS in complex with Wnt3a, the most widely studied Wnt, at 2.2 Å resolution. The transmembrane domain of WLS bears a GPCR fold, with a conserved core cavity and a lateral opening. Wnt3a interacts with WLS at multiple interfaces, with the lipid moiety on Wnt3a traversing a hydrophobic tunnel of WLS transmembrane domain and inserting into membrane. A β-hairpin of Wnt3a containing the conserved palmitoleoylation site interacts with WLS extensively, which is crucial for WLS-mediated Wnt secretion. The flexibility of the Wnt3a loop/hairpin regions involved in the multiple binding sites indicates induced fit might happen when Wnts are bound to different binding partners. Our findings provide important insights into the molecular mechanism of Wnt palmitoleoylation, secretion and signaling.


Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.


2019 ◽  
Vol 1863 (11) ◽  
pp. 129405 ◽  
Author(s):  
Tamiza Nanji ◽  
Emma J. Gehrke ◽  
Yao Shen ◽  
Melanie Gloyd ◽  
Xiafei Zhang ◽  
...  
Keyword(s):  

2008 ◽  
Vol 10 (5) ◽  
pp. 22-28 ◽  
Author(s):  
Ching-Lun Lin ◽  
Chih-Hsiang Ho ◽  
Jen-Yi Pan
Keyword(s):  

2005 ◽  
Vol 51 (3) ◽  
pp. 840-848 ◽  
Author(s):  
Wen-Shyang Hwang ◽  
Pei-Chen Tseng

2005 ◽  
Author(s):  
Zhanqi Xu ◽  
Shaohua Yu ◽  
Tao Yang ◽  
Jing Li

Author(s):  
Elizabeth D. Zeisler ◽  
Daniel H. Bolton ◽  
Gordon B. Jones
Keyword(s):  

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