Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Wenlong Feng"'
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120689- (2024)
A new MRI technique is presented for three-dimensional fast simultaneous whole brain mapping of myelin water fraction (MWF), T1, proton density (PD), R2*, magnetic susceptibility (QSM), and B1 transmit field (B1+). Phantom and human (N = 9) datasets
Externí odkaz:
https://doaj.org/article/3055f0deedd940a6845e5c2fa8d0889c
Autor:
Min MAO, Tianhui YE, Songbai SHI, Wenlong FENG, Jialin BAI, Xuefeng WANG, Yutong LIU, Chengdong WANG, Shuai KUANG, Na XU
Publikováno v:
Guangdong nongye kexue, Vol 50, Iss 8, Pp 11-20 (2023)
【Objective】This study aims to explore the effects of Bacillus siamensis EM-1 and Pseudomonas rhodesiae MTD4-1 on the growth and development of tobacco seedlings at the seedling stage and root extending stage.【Method】Two microbial agents were
Externí odkaz:
https://doaj.org/article/e50eb728a50c4c85b4b67cbb43b5cf53
Publikováno v:
Polymers, Vol 16, Iss 7, p 1013 (2024)
Stretchable ionogels, as soft ion-conducting materials, have generated significant interest. However, the integration of multiple functions into a single ionogel, including temperature tolerance, self-adhesiveness, and stability in diverse environmen
Externí odkaz:
https://doaj.org/article/121115d8566947d5988a17a7b6558020
Publikováno v:
Sensors, Vol 23, Iss 21, p 8903 (2023)
Based on the practical Byzantine fault tolerance algorithm (PBFT), a grouped multilayer PBFT consensus algorithm (GM-PBFT) is proposed to be applied to digital asset transactions in view of the problems with excessive communication complexity and low
Externí odkaz:
https://doaj.org/article/0d6224b4e61148d7b5ebae085b064b0a
Publikováno v:
PLoS ONE, Vol 17, Iss 6 (2022)
A service can be an intangible commodity in which no physical goods are transferred from the seller to the buyer. However, traditional trading platforms have many limitations in trading services due to dishonest buyers and brokers. In this paper, we
Externí odkaz:
https://doaj.org/article/8979337ed6054d30bbd3cc860caac285
Publikováno v:
IEEE Access, Vol 8, Pp 117714-117725 (2020)
Prostate cancer is the second-deadliest cancer in men in the United States, seriously affecting people's life and health. The Gleason grading system is one of the most reliable methods to quantify the invasiveness of prostate cancer, which is of grea
Externí odkaz:
https://doaj.org/article/58a1ad2e76b54266a93303501050da90
Publikováno v:
Molecular Cancer, Vol 18, Iss 1, Pp 1-11 (2019)
Abstract Ovarian cancer is one of the most common gynecological malignancies. Upon initial diagnosis, the majority of patients present with widespread metastatic growth within the peritoneal cavity. This metastatic growth occurs in stages, with the f
Externí odkaz:
https://doaj.org/article/df6e6b541a0f47168e2711a5ef5ea9e0
Publikováno v:
IEEE Access, Vol 7, Pp 11474-11484 (2019)
To deal with the problem where each instance is associated with multiple labels, a lot of multi-label learning algorithms have been developed in recent years. Some approaches have been proposed to select label-specific features to utilize discriminat
Externí odkaz:
https://doaj.org/article/cc8ad95ab2534de0b88c35b61214f618
Publikováno v:
Sensors, Vol 22, Iss 12, p 4590 (2022)
In service-transaction scenarios, blockchain technology is widely used as an effective tool for establishing trust between service providers and consumers. The consensus algorithm is the core technology of blockchain. However, existing consensus algo
Externí odkaz:
https://doaj.org/article/cc88b7941aea40fabe2856869e9b7264
Autor:
Wenlong Feng, Dylan C. Dean, Francis J. Hornicek, Jinglu Wang, Yanyan Jia, Zhenfeng Duan, Huirong Shi
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 12 (2020)
Background: Although ataxia-telangiectasia and Rad3 related (ATR) has an established role in the DNA damage response of various cancers, its clinical and prognostic significance in ovarian cancer remains largely unknown. The aims of this study were t
Externí odkaz:
https://doaj.org/article/ea0a86d0766146d1a0147463401f670a