Zobrazeno 1 - 10
of 3 940 384
pro vyhledávání: '"Lin AS"'
Autor:
Muwaffiq Jufri, Agung Ali Fahmi, Paul Atagamen Aidonojie, Lin Asyiqoh, Oluwaseye Oluwayomi Ikubanni
Publikováno v:
Jurnal Konstitusi, Vol 21, Iss 3, Pp 366-391 (2024)
The re-examination of the Job Creation Law in 2023 highlights a serious issue in the national legislative system, specifically the follow-up to the Constitutional Court’s (MK) decisions in judicial review cases (PUU) concerning the Omnibus Law. The
Externí odkaz:
https://doaj.org/article/21f49ff01ca243c2835a327167d0be7e
Autor:
TEXONO Collaboration, Li, H. B., Pandey, M. K., Leung, C. H., Singh, L., Wong, H. T., Chi, H. -C., Deniz, M., C., Greeshma, Chen, J. -W., Hsu, H. C., Karadag, S., Karmakar, S., Kumar, V., Li, J., Lin, F. K., Lin, S. T., Liu, C. -P., Liu, S. K., Ma, H., Mishra, D. K., Saraswat, K., Sharma, V., Singh, M. K., Singh, V., Tanabe, D., Wang, J. S., Wu, C. -P., Yang, L. T., Yeh, C. H., Yue, Q.
After decades of experimental efforts, the DAMA/LIBRA(DL) annual modulation (AM) analysis on the ${\chi}$N (WIMP Dark Matter interactions on nucleus) channel remains the only one which can be interpreted as positive signatures. This has been refuted
Externí odkaz:
http://arxiv.org/abs/2412.04916
Autor:
Zhong, Zi-Rui, Su, Xia-Lin, Hu, Xiang-Ming, Chen, Ke-Xuan, Xu, Hui-Lin, Zhang, Yan, Wu, Qing-Lin
Postselected weak measurement has shown significant potential for detecting small physical effects due to its unique weak-value-amplification phenomenon. Previous works suggest that Heisenberg-limit precision can be attained using only the optical co
Externí odkaz:
http://arxiv.org/abs/2412.04838
Autor:
Guo, Shengnan, Wei, Tonglong, Huang, Yiheng, Zhao, Miaomiao, Chen, Ran, Lin, Yan, Lin, Youfang, Wan, Huaiyu
Traffic data imputation is a critical preprocessing step in intelligent transportation systems, enabling advanced transportation services. Despite significant advancements in this field, selecting the most suitable model for practical applications re
Externí odkaz:
http://arxiv.org/abs/2412.04733
Autor:
Niu, Chang, Long, Linjia, Zhang, Yizhi, Lin, Zehao, Tan, Pukun, Lin, Jian-Yu, Wu, Wenzhuo, Wang, Haiyan, Ye, Peide D.
The ongoing demand for more energy-efficient, high-performance electronics is driving the exploration of innovative materials and device architectures, where interfaces play a crucial role due to the continuous downscaling of device dimensions. Tellu
Externí odkaz:
http://arxiv.org/abs/2412.04306
Autor:
Shiu, Jiun-Shiuan, Lin, Chang-Wei, Huang, Yu-Chiao, Lin, Meng-Jung, Huang, I-Chia, Wu, Ting-Ho, Kuan, Pei-Chen, Chen, Yong-Fan
We present experimental results on tuning biphoton frequency by introducing a detuned coupling field in spontaneous four-wave mixing (SFWM), and examine its impact on the pairing ratio. This tunability is achieved by manipulating the inherent electro
Externí odkaz:
http://arxiv.org/abs/2412.04127
Publikováno v:
The Astrophysical Journal Supplement Series 2024
$\beta$ Cephei pulsating variable (BCEP) stars are the most massive pulsating variable stars in the main sequence, exhibiting both p- and g-mode pulsations. In this study, we identified 155 BCEP stars or candidates using data from TESS and Gaia, of w
Externí odkaz:
http://arxiv.org/abs/2412.03917
Autor:
Fan, Yiyan, Zhang, Qinghua, Lin, Ting, Bai, He, Huo, Chuanrui, Jin, Qiao, Deng, Tielong, Choi, Songhee, Chen, Shengru, Hong, Haitao, Cui, Ting, Wang, Qianying, Rong, Dongke, Liu, Chen, Ge, Chen, Zhu, Tao, Gu, Lin, Jin, Kuijuan, Chen, Jun, Guo, Er-Jia
Creating a heterostructure by combining two magnetically and structurally distinct ruthenium oxides is a crucial approach for investigating their emergent magnetic states and interactions. Previously, research has predominantly concentrated on the in
Externí odkaz:
http://arxiv.org/abs/2412.03830
Autor:
Wang, Xiyao, Yang, Zhengyuan, Li, Linjie, Lu, Hongjin, Xu, Yuancheng, Lin, Chung-Ching, Lin, Kevin, Huang, Furong, Wang, Lijuan
Despite significant advancements in vision-language models (VLMs), there lacks effective approaches to enhance response quality by scaling inference-time computation. This capability is known to be a core step towards the self-improving models in rec
Externí odkaz:
http://arxiv.org/abs/2412.03704
Autor:
Sun, Xiaopeng, Lin, Qinwei, Gao, Yu, Zhong, Yujie, Feng, Chengjian, Li, Dengjie, Zhao, Zheng, Hu, Jie, Ma, Lin
Generative diffusion models (DM) have been extensively utilized in image super-resolution (ISR). Most of the existing methods adopt the denoising loss from DDPMs for model optimization. We posit that introducing reward feedback learning to finetune t
Externí odkaz:
http://arxiv.org/abs/2412.03268