Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Huijin Yang"'
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 6, Pp 244-252 (2023)
In this study, a stable curcumin nanoemulsion delivery system was constructed using selectively hydrolyzed soy protein as the emulsifier to enhance the aqueous solubility and bioavailability of curcumin. The effect of homogenization pressure on nanoe
Externí odkaz:
https://doaj.org/article/7cd30f25f72e490baeacc3584036a8b9
Autor:
Huijin Yang, Songuk Yoon, Eun Jung Kim, Jang Won Seo, Ja-Ryong Koo, Yun Kyu Oh, You Hwan Jo, Sejoong Kim, Seon Ha Baek
Publikováno v:
Kidney Research and Clinical Practice, Vol 41, Iss 3, Pp 298-309 (2022)
Background Hyponatremia overcorrection can result in irreversible neurologic impairment such as osmotic demyelination syndrome. Few prospective studies have identified patients undergoing hypertonic saline treatment with a high risk of hyponatremia o
Externí odkaz:
https://doaj.org/article/1a61f2a86c9c4575b39ac480e07370f5
Autor:
Suryeong Go, Sejoong Kim, Hyung-Eun Son, Ji-Young Ryu, Huijin Yang, Sun Ryoung Choi, Jang-Won Seo, You Hwan Jo, Ja-Ryong Koo, Seon Ha Baek
Publikováno v:
Kidney Research and Clinical Practice, Vol 40, Iss 3, Pp 371-382 (2021)
Background Copeptin is secreted in equimolar amounts as arginine vasopressin, main hormone regulating body fluid homeostasis. A recent study reported a copeptin-based classification of osmoregulatory defects in syndromes of inappropriate antidiuresis
Externí odkaz:
https://doaj.org/article/a2fc95a448324628907b7750fc172828
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2727 (2023)
Over the years, remote sensing technology has become an important means to obtain accurate agricultural production information, such as crop type distribution, due to its advantages of large coverage and a short observation period. Nowadays, the coop
Externí odkaz:
https://doaj.org/article/b88aded88c3847d792a1b02363e309ca
Autor:
Guixiang Tian, Heping Li, Qi Jiang, Baojun Qiao, Ning Li, Zhengwei Guo, Jianhui Zhao, Huijin Yang
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2785 (2023)
Rice is one of the most important staple foods in the world, feeding more than 50% of the global population. However, rice is also a significant emitter of greenhouse gases and plays a role in global climate change. As a result, quickly and accuratel
Externí odkaz:
https://doaj.org/article/ca426bf78a5441ca81b384924b6480dc
Inversion of Soil Moisture on Farmland Areas Based on SSA-CNN Using Multi-Source Remote Sensing Data
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2515 (2023)
Soil moisture is a crucial factor in the field of meteorology, hydrology, and agricultural sciences. In agricultural production, surface soil moisture (SSM) is crucial for crop yield estimation and drought monitoring. For SSM inversion, a synthetic a
Externí odkaz:
https://doaj.org/article/8cb95dd4edc545b4854e70fb0b4b9277
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1899 (2023)
Soil moisture is an important land environment characteristic that connects agriculture, ecology, and hydrology. Surface soil moisture (SSM) prediction can be used to plan irrigation, monitor water quality, manage water resources, and estimate agricu
Externí odkaz:
https://doaj.org/article/781e7ea559ee43a4ae12f78830439ee7
Crop Classification Based on GDSSM-CNN Using Multi-Temporal RADARSAT-2 SAR with Limited Labeled Data
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3889 (2022)
Crop classification is an important part of crop management and yield estimation. In recent years, neural networks have made great progress in synthetic aperture radar (SAR) crop classification. However, the insufficient number of labeled samples lim
Externí odkaz:
https://doaj.org/article/2ea1ee065d8c42f49728cfd1b03955ec
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1379 (2022)
Crop type identification is the initial stage and an important part of the agricultural monitoring system. It is well known that synthetic aperture radar (SAR) Sentinel-1A imagery provides a reliable data source for crop type identification. However,
Externí odkaz:
https://doaj.org/article/7cc67492d8474de784782cb8ffa2fe4b
Publikováno v:
Remote Sensing, Vol 14, Iss 3, p 546 (2022)
Rice height, as the fundamental biophysical attribute, is a controlling factor in crop phenology estimation and yield estimation. The aim of this study was to use time series Sentinel-1A images to estimate the spatio-temporal distribution of rice hei
Externí odkaz:
https://doaj.org/article/3e1d1caffea84574aa75fe783de2418c