Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Liwei Jian"'
Publikováno v:
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ).
Autor:
Ke Gong, Chao Xue, Zian Feng, Ruru Pan, Mengyao Wang, Shasha Chen, Yuanli Chen, Yudong Guan, Lingyun Dai, Shuang Zhang, Liwei Jiang, Ling Li, Bei Wang, Zequn Yin, Likun Ma, Yasuko Iwakiri, Junming Tang, Chenzhong Liao, Houzao Chen, Yajun Duan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Glucagon-like peptide 1 (GLP1), which is mainly processed and cleaved from proglucagon in enteroendocrine cells (EECs) of the intestinal tract, acts on the GLP1 receptor in pancreatic cells to stimulate insulin secretion and to inhibit gluca
Externí odkaz:
https://doaj.org/article/1d9a0f1f82234740abfd2dd4050318bc
Publikováno v:
APL Photonics, Vol 9, Iss 11, Pp 110805-110805-10 (2024)
Confocal Raman spectroscopy (CRS) has been widely used for noninvasive biochemical analysis of biological tissue in vivo. Currently, reflectance confocal microscopy (RCM) has been integrated with CRS as visual guidance for a square-/rectangular-shape
Externí odkaz:
https://doaj.org/article/be543bd3a8e94f39a85a42d21aa3309b
Publikováno v:
IEEE Access, Vol 12, Pp 105761-105765 (2024)
Microwave devices, including microwave switches, are more prone to high power discharge in the L-band. In order to improve the multipactor threshold of coaxial SPDT switches, a rectangular coaxial cavity with a ridged structure is proposed. The intro
Externí odkaz:
https://doaj.org/article/f4d4925d86d44052b1f93d623f341121
Autor:
Ke Gong, Chao Xue, Zian Feng, Ruru Pan, Mengyao Wang, Shasha Chen, Yuanli Chen, Yudong Guan, Lingyun Dai, Shuang Zhang, Liwei Jiang, Ling Li, Bei Wang, Zequn Yin, Likun Ma, Yasuko Iwakiri, Junming Tang, Chenzhong Liao, Houzao Chen, Yajun Duan
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/827f1dba35394e18b0bf96bda4c4ab86
Autor:
Hongwei Wang, Yan Zhang, Yinglong Song, Jiale Zhu, Wenqian Shang, Liwei Jiang, Weichao Liu, Songlin He, Yuxiao Shen, Liyun Shi, Zheng Wang
Publikováno v:
Horticulturae, Vol 10, Iss 7, p 732 (2024)
Rapid wilting after harvest greatly decreases the ornamental and economic value of fresh-cut flowers. To determine how chlorine dioxide (ClO2) affects postharvest flower quality, Paeonia lactiflora ‘Hushui Dangxia’ cut flowers in bottles were tre
Externí odkaz:
https://doaj.org/article/6ffb4f4703984b018f8de6e74be21586
Autor:
Chang'an Shan, Yakun Shi, Xing Liang, Lei Zhang, Gaocheng Wang, Liwei Jiang, Chen Zou, Fangyu He, Jue Mei
Publikováno v:
Unconventional Resources, Vol 4, Iss , Pp 100090- (2024)
The Lower Silurian Longmaxi Formation is the favorable target area for deep shale gas exploration and development in southeastern Sichuan Basin. Based on whole-rock X-ray diffraction analysis, scanning electron microscope, reservoir evolution thermal
Externí odkaz:
https://doaj.org/article/653273d3771d4414a4bce0c88ce9c506
Publikováno v:
Indian Journal of Dermatology, Vol 69, Iss 2, Pp 201-201 (2024)
Background: Condyloma acuminatum (CA), which is a highly contagious sexually transmitted illness generated by human papillomavirus (HPV) infection, is characterized by abnormal proliferation of keratinocytes resulting in verrucous lesions. Although s
Externí odkaz:
https://doaj.org/article/5468d5c1211142c39088d6db3d7ead5a
Publikováno v:
PLoS Pathogens, Vol 19, Iss 12, p e1011856 (2023)
The rapid emergence of SARS-CoV-2 variants of concern (VOCs) calls for efforts to study broadly neutralizing antibodies elicited by infection or vaccination so as to inform the development of vaccines and antibody therapeutics with broad protection.
Externí odkaz:
https://doaj.org/article/d8a0dcaf39a54eb194e4f15cf463982f
Autor:
Lei ZHANG, Hongen DOU, Tianzhi WANG, Hongliang WANG, Yi PENG, Jifeng ZHANG, Zongshang LIU, Lan MI, Liwei JIANG
Publikováno v:
Petroleum Exploration and Development, Vol 49, Iss 5, Pp 1150-1160 (2022)
Since the oil production of single well in water flooding reservoir varies greatly and is hard to predict, an oil production prediction method of single well based on temporal convolutional network (TCN) is proposed and verified. This method is start
Externí odkaz:
https://doaj.org/article/962f3126c69443a398e2fd6c9738fccc