Zobrazeno 1 - 10
of 282
pro vyhledávání: '"Xiaoning Qian"'
Autor:
Sina Hossein Zadeh, Cem Cakirhan, Danial Khatamsaz, John Broucek, Timothy D. Brown, Xiaoning Qian, Ibrahim Karaman, Raymundo Arroyave
Publikováno v:
Materials & Design, Vol 244, Iss , Pp 113096- (2024)
The martensitic transformation in NiTi-based Shape Memory Alloys (SMAs) provides a basis for shape memory effect and superelasticity, thereby enabling applications requiring solid-state actuation and large recoverable shape changes upon mechanical lo
Externí odkaz:
https://doaj.org/article/9d92a7897e6b43dd944b73d185c44198
Autor:
Xihaier Luo, Seyednami Niyakan, Patrick Johnstone, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Shantenu Jha, Byung-Jun Yoon
Publikováno v:
Frontiers in Bioinformatics, Vol 4 (2024)
Radiation exposure poses a significant threat to human health. Emerging research indicates that even low-dose radiation once believed to be safe, may have harmful effects. This perception has spurred a growing interest in investigating the potential
Externí odkaz:
https://doaj.org/article/ebfb8cc60844488aae40eb2f9de38137
Autor:
Seyednami Niyakan, Jianting Sheng, Yuliang Cao, Xiang Zhang, Zhan Xu, Ling Wu, Stephen T.C. Wong, Xiaoning Qian
Publikováno v:
Patterns, Vol 5, Iss 5, Pp 100986- (2024)
Summary: Spatially resolved transcriptomics has revolutionized genome-scale transcriptomic profiling by providing high-resolution characterization of transcriptional patterns. Here, we present our spatial transcriptomics analysis framework, MUSTANG (
Externí odkaz:
https://doaj.org/article/0ca6456a77c642af8c95f055a08be4af
Publikováno v:
Patterns, Vol 4, Iss 11, Pp 100863- (2023)
Summary: Significant acceleration of the future discovery of novel functional materials requires a fundamental shift from the current materials discovery practice, which is heavily dependent on trial-and-error campaigns and high-throughput screening,
Externí odkaz:
https://doaj.org/article/f0bbe8798da9423e988fe023ea142106
Publikováno v:
Patterns, Vol 4, Iss 11, Pp 100876- (2023)
Externí odkaz:
https://doaj.org/article/c562ab8088a24de0ab09aa64e5a73801
Autor:
Hyun-Myung Woo, Xiaoning Qian, Li Tan, Shantenu Jha, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon
Publikováno v:
Patterns, Vol 4, Iss 11, Pp 100875- (2023)
Summary: The need for efficient computational screening of molecular candidates that possess desired properties frequently arises in various scientific and engineering problems, including drug discovery and materials design. However, the enormous sea
Externí odkaz:
https://doaj.org/article/07de82a91b4a4c51b869ab820d10dbd6
Autor:
Kathrine H. Davidson, Syamkumar Sivasankara Pillai, Yukihiro Nagashima, Jashbir Singh, Rita Metrani, Kevin M. Crosby, John Jifon, Bhimanagouda Patil, Seyednami Niyakan, Xiaoning Qian, Hisashi Koiwa
Publikováno v:
Molecular Horticulture, Vol 3, Iss 1, Pp 1-4 (2023)
Externí odkaz:
https://doaj.org/article/4c590304aabc4585b7609b65a13531f3
Autor:
Bowen Lei, Tanner Quinn Kirk, Anirban Bhattacharya, Debdeep Pati, Xiaoning Qian, Raymundo Arroyave, Bani K. Mallick
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-12 (2021)
Abstract Bayesian optimization (BO) is an indispensable tool to optimize objective functions that either do not have known functional forms or are expensive to evaluate. Currently, optimal experimental design is always conducted within the workflow o
Externí odkaz:
https://doaj.org/article/9f2f69e1532d4345b0eb8216ac8fc446
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108113- (2022)
Transfer learning (TL) techniques can enable effective learning in data scarce domains by allowing one to re-purpose data or scientific knowledge available in relevant source domains for predictive tasks in a target domain of interest. In this Data i
Externí odkaz:
https://doaj.org/article/f20b366c7f3448a0be414f6613bda12c
Autor:
Kelsey Michelle Wells, Kai He, Aseem Pandey, Ana Cabello, Dongmei Zhang, Jing Yang, Gabriel Gomez, Yue Liu, Haowu Chang, Xueqiang Li, Hao Zhang, Xuehuang Feng, Luciana Fachini da Costa, Richard Metz, Charles D Johnson, Cameron Lee Martin, Jill Skrobarczyk, Luc R Berghman, Kristin L Patrick, Julian Leibowitz, Allison Ficht, Sing-Hoi Sze, Jianxun Song, Xiaoning Qian, Qing-Ming Qin, Thomas A Ficht, Paul de Figueiredo
Publikováno v:
eLife, Vol 11 (2022)
The phagocytosis and destruction of pathogens in lysosomes constitute central elements of innate immune defense. Here, we show that Brucella, the causative agent of brucellosis, the most prevalent bacterial zoonosis globally, subverts this immune def
Externí odkaz:
https://doaj.org/article/d0a8cb3ad2ef4a8c88d27a290700c019