Zobrazeno 1 - 10
of 888
pro vyhledávání: '"J.‐P. Cheng"'
Autor:
Y. L. Wu, X. H. Yu, J. Z. L. Hasaien, Fang Hong, P. F. Shan, Z. Y. Tian, Y. N. Zhai, J. P. Hu, J. G. Cheng, Jimin Zhao
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Recently, tremendous research interest has been aroused in clathrate superhydrides. However, their microscopic properties, especially the superconducting (SC) gap and electron-phonon coupling (EPC) strength, are largely unexplored experiment
Externí odkaz:
https://doaj.org/article/008ce53a260f417c84785fcd1b2c7978
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 3, Pp 1-12 (2024)
Abstract Exploring hit positions of recorded events can help to understand and suppress backgrounds in rare event searches. We propose a pulse shape analysis method to discriminate single-site events (SSEs) in the inner and outer layer of a small con
Externí odkaz:
https://doaj.org/article/2a14f2536da2464db37c0d484997591c
Publikováno v:
Journal of Applied Fluid Mechanics, Vol 16, Iss 12, Pp 2438-2458 (2023)
The serpentine nozzle effectively suppresses infrared radiation and radar signals from advanced aero-engine exhaust system. However, the extreme operating environment of thermal–solid interaction complicates the heat transfer of the flow inside the
Externí odkaz:
https://doaj.org/article/5ae481ac2f87473e952465288287e087
Predicting polycystic ovary syndrome with machine learning algorithms from electronic health records
Autor:
Zahra Zad, Victoria S. Jiang, Amber T. Wolf, Taiyao Wang, J. Jojo Cheng, Ioannis Ch. Paschalidis, Shruthi Mahalingaiah
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
IntroductionPredictive models have been used to aid early diagnosis of PCOS, though existing models are based on small sample sizes and limited to fertility clinic populations. We built a predictive model using machine learning algorithms based on an
Externí odkaz:
https://doaj.org/article/ffa4fb64bc2342699c3936c6e7be4430
Autor:
G. Wang, N. N. Wang, X. L. Shen, J. Hou, L. Ma, L. F. Shi, Z. A. Ren, Y. D. Gu, H. M. Ma, P. T. Yang, Z. Y. Liu, H. Z. Guo, J. P. Sun, G. M. Zhang, S. Calder, J.-Q. Yan, B. S. Wang, Y. Uwatoko, J.-G. Cheng
Publikováno v:
Physical Review X, Vol 14, Iss 1, p 011040 (2024)
We synthesized polycrystalline La_{3}Ni_{2}O_{7−δ} (δ≈0.07) samples by using the sol-gel method without postannealing under high oxygen pressure, and then measured temperature-dependent resistivity under various hydrostatic pressures up to 18 G
Externí odkaz:
https://doaj.org/article/a099d3ff41544805b15d007b9c947357
Autor:
Haoxiang Li, G. Fabbris, A. H. Said, J. P. Sun, Yu-Xiao Jiang, J.-X. Yin, Yun-Yi Pai, Sangmoon Yoon, Andrew R. Lupini, C. S. Nelson, Q. W. Yin, C. S. Gong, Z. J. Tu, H. C. Lei, J.-G. Cheng, M. Z. Hasan, Ziqiang Wang, Binghai Yan, R. Thomale, H. N. Lee, H. Miao
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-7 (2022)
The nature of unconventional charge density wave in kagome metals is currently under intense debate. Here the authors report the coexistence of the 2 × 2 × 1 charge density wave in the kagome sublattice and the Sb 5p-electron assisted 2 × 2 × 2 c
Externí odkaz:
https://doaj.org/article/a367d286f6874341aa80629f5d7456fc
Autor:
N. N. Wang, M. W. Yang, Z. Yang, K. Y. Chen, H. Zhang, Q. H. Zhang, Z. H. Zhu, Y. Uwatoko, L. Gu, X. L. Dong, J. P. Sun, K. J. Jin, J.-G. Cheng
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
Despite much recent effort, the highest reported T c of the infinite-layer nickelates remains lower than 15 K. Here, the authors apply pressure to Pr0.82Sr0.18NiO2 thin films and observe a monotonic increase of T c to 31 K at 12.1 GPa, an increase th
Externí odkaz:
https://doaj.org/article/ea04e47756484abc9e5d8b039d4bed33
Autor:
James Thomas Patrick Decourcy Hallinan, Lei Zhu, Wenqiao Zhang, Shuliang Ge, Faimee Erwan Muhamat Nor, Han Yang Ong, Sterling Ellis Eide, Amanda J. L. Cheng, Tricia Kuah, Desmond Shi Wei Lim, Xi Zhen Low, Kuan Yuen Yeong, Mona I. AlMuhaish, Ahmed Mohamed Alsooreti, Nesaretnam Barr Kumarakulasinghe, Ee Chin Teo, Qai Ven Yap, Yiong Huak Chan, Shuxun Lin, Jiong Hao Tan, Naresh Kumar, Balamurugan A. Vellayappan, Beng Chin Ooi, Swee Tian Quek, Andrew Makmur
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionMetastatic spinal cord compression (MSCC) is a disastrous complication of advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could expedite timely diagnosis. In this study, we externally test a DL algorithm
Externí odkaz:
https://doaj.org/article/dee62df23f25449a9ee1011c2c962a58
Autor:
P. T. Yang, Z. Y. Liu, K. Y. Chen, X. L. Liu, X. Zhang, Z. H. Yu, H. Zhang, J. P. Sun, Y. Uwatoko, X. L. Dong, K. Jiang, J. P. Hu, Y. F. Guo, B. S. Wang, J.-G. Cheng
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Here, the authors report pressure-induced superconductivity with concomitant enhancement of antiferromagnetic transition in layered EuTe2. The superconductivity is distinctly characterized by the high upper critical fields exceeding the Pauli limit a
Externí odkaz:
https://doaj.org/article/b8b5ee5457834fedb6e787ddaf1e81ce
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Community resilience, which fully reflects the ability of communities to resist, absorb, recover or adapt to disasters, has attracted international attention. Nurses are an important force in disaster prevention, relief and postdi
Externí odkaz:
https://doaj.org/article/3a88e12c886a401ab871ac638616e727