Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Xingang Fang"'
Autor:
Jiarui Wei, Lin Hu, Shufan Xu, Yifan Li, Fusheng Liao, Xiaoqiao Zhang, Xingang Fang, Li Ding, Ting Wang, Zhuo Chen, Shanchun Su, Qiufang Zhang, Xingrong Guo
Background: Increasing evidence indicates that Alzheimer’s disease (AD) is not only a disease of the brain but also an autoimmune disorder of innate immunity. Pyroptosis-mediated inflammation activates microglia, which are innate immune regulators
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a0304bd0fe288ca8120570638bcdee9
https://doi.org/10.21203/rs.3.rs-2348942/v1
https://doi.org/10.21203/rs.3.rs-2348942/v1
Autor:
Xingang Fang, Tyler Guthrie, Sikha Bagui, Subhash C. Bagui, John Schneider, Patrick Houghton, Jeremy Wyatt, Joe Nguyen
Publikováno v:
International Journal of Computers and Applications. 44:250-259
The objective of this paper was to develop an end-to-end algorithm that would improve the step counting accuracy in regular walking/running data and also meet the ANSI/CTA-2056 standards. The ANSI/...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fb566da784519de22ad59b9f62b4e05
https://doi.org/10.1080/1206212x.2020.1726006
https://doi.org/10.1080/1206212x.2020.1726006
Autor:
Weikuan Yu, Kento Sato, Subhadeep Bhattachrya, Jian Guo, Yasumasa Joti, Xingang Fang, Rupak Roy, Takaki Hatsui, Toshiyuki Nishiyama Hiraki
Publikováno v:
CCGRID
Recent advances in Deep Neural Networks (DNNs) have demonstrated a promising potential in predicting the temporal and spatial proximity of time evolutionary data. In this paper, we have developed an effective (de)compression framework called TEZIP th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05f461a4182fb32d0ebb849480082f93
https://doi.org/10.1109/ccgrid51090.2021.00014
https://doi.org/10.1109/ccgrid51090.2021.00014
Autor:
Julia Klawohn, Xingang Fang, Greg Hajcak, Alexander De Sabatino, Weikuan Yu, Harsh Kundnani, Jonathan Ryan
Publikováno v:
Biomedical Signal Processing and Control. 71:103237
Motivation Depressive disorders are highly prevalent and impairing psychiatric conditions with neurocognitive abnormalities, including reduced event-related potential (ERP) measures of reward processing and emotional reactivity. Accurate classificati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8eaa4b4518e14f399ca5476436c1a0
https://doi.org/10.1016/j.bspc.2021.103237
https://doi.org/10.1016/j.bspc.2021.103237
Publikováno v:
Journal of Cyber Security Technology. 1:108-126
Network traffic classification and characterisation is playing an increasingly vital role in understanding and solving security-related issues in internet-based applications. The priority of resear...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d11eea74bbd4ba24ad6b3191213186
https://doi.org/10.1080/23742917.2017.1321891
https://doi.org/10.1080/23742917.2017.1321891
Publikováno v:
Journal of Scientific Research and Reports. 7:207-217
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2a7ca940437490605b7dc73e1cb9e44
https://doi.org/10.9734/jsrr/2015/17346
https://doi.org/10.9734/jsrr/2015/17346
Publikováno v:
Computational biology and chemistry. 69
The readily available high throughput screening (HTS) data from the PubChem database provides an opportunity for mining of small molecules in a variety of biological systems using machine learning techniques. From the thousands of available molecular
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::810539308abc43905bfd38de3c5bc4fe
https://pubmed.ncbi.nlm.nih.gov/28601761
https://pubmed.ncbi.nlm.nih.gov/28601761
Autor:
Susan Khan, Jennifer Pocas, Li Lin, Michael D. Cameron, Bo Wang, Philip LoGrasso, Amiee Weiser, Claudia Ruiz, Yan Yin, Thomas Schröter, Alok S. Pachori, Yen Ting Chen, Stephans Schürer, Wayne Grant, Xingang Fang, Lei Yao, Yangbo Feng
Publikováno v:
Journal of Medicinal Chemistry. 53:5727-5737
Rho kinase (ROCK) is a promising drug target for the treatment of many diseases including hypertension, multiple sclerosis, cancer, and glaucoma. The structure-activity relationships (SAR) around a series of tetrahydroisoquinolines were evaluated uti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d16c07482a55988f3b77af1e4585b47
https://doi.org/10.1021/jm100579r
https://doi.org/10.1021/jm100579r
Publikováno v:
Transactions on Machine Learning and Artificial Intelligence. 2
Services Oriented Architectures (SOA) have emerged as a useful framework for developing interoperable, large-scale systems, typically implemented using the Web Services (WS) standards. However, the maintenance and evolution of SOA systems present man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d121f80af83e0026bcd35fa486ea539
https://doi.org/10.14738/tmlai.26.784
https://doi.org/10.14738/tmlai.26.784
Autor:
Philip LoGrasso, Thomas D. Bannister, Yen Ting Chen, Wayne Grant, Thomas Schröter, Xingang Fang, Yangbo Feng, Tomas Vojkovsky, Amiee M. W. Handy, Jennifer Pocas
Publikováno v:
Med. Chem. Commun.. 2:73-75
Rho kinase (ROCK) is currently investigated as a target for various diseases such as glaucoma and spinal cord injury. Herein, we report the asymmetric synthesis of chroman 1, a highly potent ROCK inhibitor, and its analogs. The inhibitory properties
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb2c078862e835d155aa62720970b9e9
https://doi.org/10.1039/c0md00194e
https://doi.org/10.1039/c0md00194e