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Your search keyword '"Wu Jun"' showing total 1,093 results
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1,093 results on '"Wu Jun"'

1. Female patients with systemic lupus erythematosus (SLE)-associated antiphospholipid syndrome (APS) have a lower ovarian reserve than either primary APS or SLE patients

Author

Xu Xiaoping, Wang Hua-bin, Cai Shu-qian, and Wu Jun-Qi

Subjects
anti-müllerian hormone, systemic lupus erythematosus (sle), antiphospholipid syndrome, antral follicle count, ovarian reserve, Medical technology, R855-855.5
Abstract

To evaluate the ovarian reserve (OR) in women with antiphospholipid syndrome (APS), systemic lupus erythematosus (SLE), especially SLE-associated APS, and to determine the association between OR and clinical and laboratory parameters.

Published
2024
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3. Spatiotemporal variation of the major meteorological elements in an agricultural region: A case study of Linyi City, Northern China

Author

Li Li, Xiaoning Lu, and Wu Jun

Subjects
precipitation, temperature, evaporation, linyi, spatiotemporal variation, Mathematics, QA1-939, Applied mathematics. Quantitative methods, T57-57.97
Abstract

Evaporation is a key element of the water and energy cycle and is essential in determining the spatial and temporal variations of meteorological elements. In particular, evaporation is crucial for thoroughly understanding the climate variations of a region. In this study, we discussed evaporation, precipitation, and temperature by adopting Linyi City in Shandong Province, China, which is an important agricultural region, as a research case. Linear regression analysis, the empirical orthogonal decomposition function, and the Morlet wavelet function were used to reveal the trends, spatiotemporal modes, and multi-time scale characteristics of the three climate factors and provide a theoretical basis for the efficient use of climate resources in the future development of regional agriculture. Results showed that the precipitation (2.09 mm/a) and temperature (0.04 ℃/a) in Linyi City exhibited a synchronous growth trend. Conversely, evaporation (−6.47 mm/a) showed a decreasing trend and the evaporation paradox because of the considerable decrease in evaporation energy. Regional development of water-consuming agriculture in consideration of global warming is a key point for improving water use efficiency in Linyi City. In terms of spatial distribution, precipitation was dominated by the first mode wherein low precipitation was observed at the early stage, and high precipitation occurred at the late stage. The first mode was supplemented by the second mode wherein an inverse phase change occurred in the southeast-northwest direction. Large interannual fluctuations were observed only in Yinan County. Temperature exhibited a pattern of warming change with high homogeneity. Evaporation demonstrated obvious heterogeneity and was dominated by two major modes, and the difference in evaporation between Junan County and the other regions of Linyi City was large. Therefore, the local regional climate changes in Yinan and Junan should be given attention. All three meteorological elements showed interannual and interdecadal variations in the short (5 a), medium (16 a), and long (25 a) terms, with precipitation, temperature, and evaporation dominated by 16 a, 24 a, and 31 a, respectively. In the short-term future, the regional precipitation and temperature in Linyi will experience decrements that are above the multiyear average, and evaporation will increase to above the multiyear average. Given the changing trends of precipitation, temperature, and evaporation, urgent requirements for the regional development of efficient water-saving irrigation and the promotion of digital agriculture should be proposed.

Published
2024
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5. Dynamic Changes in Flavor Quality of Wuyi Rock Tea at Different Storage Times

Author

WU Jun, WANG Zhihui, LI Jing, DAI Haomin, SONG Bo, ZHANG Lingzhi, XU Jie, YUE Bin, SUN Weijiang

Subjects
wuyi rock tea, storage time, flavor quality, gas chromatography-mass spectrometry, Food processing and manufacture, TP368-456
Abstract

Seven samples of Wuyi rock tea (cv. Shuixian) stored for different times (0, 5, 10, 15, 20, 25, and 30 years) were collected to investigate the effect of storage time on the flavor quality of Wuyi rock tea by the combined use of sensory evaluation, non-volatile and volatile composition analysis and chemometrics methods. The results showed that the transformation of the flavor quality of Wuyi rock tea during storage was divided into three stages: 0–5, 10–15, and 20–30 years. As the storage time increased, the taste gradually transformed from mellow to stale, and a sour taste appeared at the middle stage of storage and then faded away at the late stage. The aroma gradually changed from flowery and fruity to aged, woody and herbal. A significant decrease in the content of tea polyphenols, catechins-like and theaflavins and an increase in the content of soluble sugars were the major reasons for the taste changes. Changes in the contents of 15 characteristic volatiles, including indole, trans-nerolidol, dihydroactinidiolide, hotrienol, α-terpineol, methyl salicylate, β-ionone, and (Z)-hexanoic acid-3-hexenyl ester, were the key factors affecting the aroma changes. This study provides a scientific reference for the storage and consumption of Wuyi rock tea.

Published
2024
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6. Integration of higher education student management and pedagogical concepts based on data-based decision making

Author

Wu Jun

Subjects
k-prototypes algorithm, ls-svm, student clustering, data prediction, student management decisions, 00a35, Mathematics, QA1-939
Abstract

In the context of big data’s growing influence on education, our study presents a novel approach to managing higher vocational student data through a model based on the “three-round education” philosophy. We construct a predictive model to dissect and categorize student performance at X higher vocational college by integrating K-prototypes and LSSVM algorithms. Our findings reveal three primary groups: high achievers (43.65%), average performers (23.38%), and those with challenges (32.97%), each showing apparent differences in academic success indicators. Impressively, the model forecasts student enrollment numbers with less than 1.077% error, providing a reliable tool for educational administrators to make informed decisions and tailor student management strategies effectively.

Published
2024
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29. Landscape of global urban environmental resistome and its association with local socioeconomic and medical status

Author

Wu, Jun, Hu, Yige, Perlin, Michael H., Danko, David, Lu, Jun, Oliveira, Manuela, Werner, Johannes, Zambrano, Maria M., Sierra, Maria A., Osuolale, Olayinka O., Łabaj, Paweł, Rascovan, Nicolás, Hazrin-Chong, Nur Hazlin, Jang, Soojin, Suzuki, Haruo, Nieto-Caballero, Marina, Prithiviraj, Bharath, Lee, Patrick K. H., Chmielarczyk, Agnieszka, Różańska, Anna, Zhao, Yongxiang, Wang, Lan, Mason, Christopher E., and Shi, Tieliu

Published
2024
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