Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Wenjing Yue"'
Autor:
Wenxiao Wang, Song Gao, Yaqi Wang, Yang Li, Wenjing Yue, Hongsen Niu, Feifei Yin, Yunjian Guo, Guozhen Shen
Publikováno v:
Advanced Science, Vol 9, Iss 28, Pp n/a-n/a (2022)
Abstract Possessing the merits of high efficiency, low consumption, and versatility, emerging photonic memristive and memristive‐like devices exhibit an attractive future in constructing novel neuromorphic computing and miniaturized bionic electron
Externí odkaz:
https://doaj.org/article/e7b0c7b810ab449cbb460dc94a1ebf39
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundCircular RNAs (CircRNAs) feature prominently in the progression of various cancers. However, the biological functions of many circRNAs in hepatocellular carcinoma (HCC) are far from fully clarified. This work is performed to decipher the fu
Externí odkaz:
https://doaj.org/article/dbe69ec3dd574df393bac3c3c674f253
Autor:
Qiankun Li, Wenjing Yue, Ming Li, Zhipeng Jiang, Zehui Hou, Wei Liu, Ning Ma, Wenchang Gan, Yingru Li, Taicheng Zhou, Shuang Chen
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Background: Colorectal cancer (CRC), the most commonly diagnosed cancer in the world, has a high mortality rate. In recent decades, long non-coding RNAs (lncRNAs) have been proven to exert an important effect on CRC growth. However, the CTBP1-AS2 exp
Externí odkaz:
https://doaj.org/article/385eb9179b174bf3860fa1ea57b890ea
Publikováno v:
Symmetry, Vol 14, Iss 4, p 638 (2022)
The presented herb recommendation system aims to analyze the patients’ symptoms and recommends a set of herbs as the prescription to treat diseases. In addition to symptoms, the patients’ personal properties and induced diagnoses are also essenti
Externí odkaz:
https://doaj.org/article/f16cd25b47ed4a919a08c6fb96c56a94
Autor:
Chul-Soon Park, Vivek Raj Shrestha, Wenjing Yue, Song Gao, Sang-Shin Lee, Eun-Soo Kim, Duk-Yong Choi
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
Abstract It is advantageous to construct a dielectric metasurface in silicon due to its compatibility with cost-effective, mature processes for complementary metal-oxide-semiconductor devices. However, high-quality crystalline-silicon films are diffi
Externí odkaz:
https://doaj.org/article/a2f91f0209514227b8b88463e858b47f
Publikováno v:
Sensors, Vol 20, Iss 6, p 1565 (2020)
The increase in the number of people suffering diabetes has been the driving force behind the development of glucose sensors to overcome the current testing shortcomings. In this work, a reusable, non-invasive and ultrafast radio frequency biosensor
Externí odkaz:
https://doaj.org/article/32a9b8a549864047b689feee847666ad
Publikováno v:
Sensors, Vol 14, Iss 11, Pp 20500-20518 (2014)
Maintaining effective coverage and extending the network lifetime as much as possible has become one of the most critical issues in the coverage of WSNs. In this paper, we propose a multi-objective coverage optimization algorithm for WSNs, namely MOC
Externí odkaz:
https://doaj.org/article/f4cdcf585670476cb0992039d4a5a238
Publikováno v:
IEEE Photonics Journal, Vol 6, Iss 2, Pp 1-9 (2014)
A miniature optical subassembly module incorporating a pair of collimating and focusing lenses was proposed and designed to provide affordable alignment tolerance in terms of optical coupling efficiency. The light source was specifically modeled taki
Externí odkaz:
https://doaj.org/article/40a526d589ab45128e44ffc73b63964a
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Well-designed wireless sensor networks (WSNs) usually provide vital support for collecting, processing, and forwarding the real-time information in mission-critical applications where medium access control (MAC) protocols determine the channel access
Externí odkaz:
https://doaj.org/article/ef91152ddb994329a424c33dae18a184
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-9
UAV (unmanned aerial vehicle) captured images have small pedestrian targets and loss of key information after multiple down sampling, which are difficult to overcome by existing methods. We propose an improved YOLOv4 model for pedestrian detection an