4311.  Effects of acute resistance exercise with different intensities and equal training volume on immune cell responses

Chen, Chien-Hua; Chiang, Chun-Yuan; Chang, Hao-Chien; Liu, Hung-Wen ,  2022-08-30
[體育事務處] 會議論文
load with equal training volume and inter-rest time on the immune response. Methods Healthy young men (n = 11; age 23.0 ± 0.7 years, body mass index

4312.  Ecofeminist Climate-Fiction: Merlinda Bobis’s Locust Girl

Ralph, Iris ,  2021-04-30
[英文學系暨研究所] 專書之單篇
Dystopias and Utopias on Earth and Beyond: Feminist Ecocriticism of Science Fiction, 初版
is about rising temperatures that make it impossible to be outdoors at any time during the day without heavy protective gear; Patel’s is about rising

4313.  PHANGS-JWST First Results: Duration of the Early Phase of Massive Star Formation in NGC 628

Kim, Jaeyeon; Chevance, Mélanie; Kruijssen, J. M. Diederik; Barnes, Ashley. T.; Bigiel, Frank; Blanc, Guillermo A.; Boquien, Médéric; Cao, Yixian; Congiu, Enrico; Dale, Daniel A.; Egorov, Oleg V.; Faesi, Christopher M.; Glover, Simon C. O.; Grasha, Kathryn; Groves, Brent; Hassani, Hamid; Hughes, Annie; Klessen, Ralf S.; Kreckel, Kathryn; Larson, Kirsten L.; Lee, Janice C.; Leroy, Adam K.; Liu, Daizhong; Longmore, Steven N.; Meidt, Sharon E.; Pan, Hsi-An; Pety, Jérôme; Querejeta, Miguel; Rosolowsky, Erik; Saito, Toshiki; Sandstrom, Karin; Schinnerer, Eva; Smith, Rowan J.; Usero, Antonio; Watkins, Elizabeth J.; Williams, Thomas G. ,  2023-02-16
[物理學系暨研究所] 期刊論文
The Astrophysical Journal Letters 944(2)
formation and the implied time over which molecular clouds remain inert in the galaxy NGC 628 at a distance of 9.8 Mpc, demonstrating that the cosmic

4314.  Exploring Students’ Participation in STEAM Programs and Gender Diversity in Higher Education Expansion Process

Liu, En-Yu; Chang, Dian-Fu ,  2023-06-13
[教育與未來設計學系] 會議論文
on data collected from students’ STEAM participation during 1982-2022, this study employed a time series approach to detect the heterogeneity issue

4315.  A “New Normal” in Communist China’s Military Leadership Reshuffles: An Interpretation of the New Line-up of Central Military Commission Following the 20th National Congress of the Communist Party of China

Lin, Ying-Yu ,  2023-09
[國際事務與戰略研究所] 期刊論文
The Korean Journal of Defense Analysis 35(3),　p.479-500
commands the gun yet without forgetting at the same time the equally long-lasting principle that political power grows out of the barrel of a gun

4316.  三篇關於保險業資產負債管理議題之論文

宣葳 ,  2021-10
[風險管理與保險學系] 專書
life insurers in Taiwan currently face, namely the life insurance policy with the highest annual gross premium income, the dominating asset on the life

4317.  High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data

Chang, Li-chiu ,  2023-11-20
[人工智慧學系] 期刊論文
Journal of Cleaner Production 433(25),　139825
Elsevier High-resolution real-time air quality forecasting can alert decision-makers and residents about forthcoming air pollution events and refine

4318.  Enhancing Administrative Claims Data: Feasibility, Validation and Application of Linking Medicare Claims Data and National Marrow Donor Program Search Data

Mau, Lih-wen ,  2022-10-13
[高齡健康管理學研究所] 期刊論文
JCO Clin Cancer Inform 6
a matched NMDP search. Multivariate analysis showed time to search, age, diagnosis year, race/ethnicity, and neighborhood education status associated

4319.  ECMWF Ensemble Forecasts of Six Tropical Cyclones That Formed during a Long-Lasting Rossby Wave Breaking Event in the Western North Pacific

Tsai, Hsiao-chung ,  2024-05-17
[水資源及環境工程學系暨研究所] 期刊論文
Atmosphere 15(5),　610
intensification rate of Nanmadol (16 W) until the time-to-typhoon (T2TY), but then failed to predict the large rapid intensification (RI) following the T2TY

4320.  Predictive Modeling for Patient Queue Length in Blood Collection Centers during Peak Hours using Multi-step-ahead Forecasting and Machine Learning Models

Chen, Ming-shu; Liu, Tzu-chi; Kao, Kuo-ching; Yang, Chih-te; Lu, Chi-jie ,  2024-07-09
[企業管理學系暨研究所] 會議論文
with the Direct framework achieves the most accurate predictions for one to four time steps ahead. For four-step-ahead forecasting, CatBoost with the Hybrid