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SERS-based microdevices for use as in vitro diagnostic biosensors 期刊论文
CHEMICAL SOCIETY REVIEWS, 2024, 页码: 34
作者:  Lee, Sungwoon;  Dang, Hajun;  Moon, Joung-Il;  Kim, Kihyun;  Joung, Younju;  Park, Sohyun;  Yu, Qian;  Chen, Jiadong;  Lu, Mengdan;  Chen, Lingxin;  Joo, Sang-Woo;  Choo, Jaebum
收藏  |  浏览/下载：12/0  |  提交时间：2024/05/23
SERS-based microdevices for use as in vitro diagnostic biosensors 期刊论文
CHEMICAL SOCIETY REVIEWS, 2024, 页码: 34
作者:  Lee, Sungwoon;  Dang, Hajun;  Moon, Joung-Il;  Kim, Kihyun;  Joung, Younju;  Park, Sohyun;  Yu, Qian;  Chen, Jiadong;  Lu, Mengdan;  Chen, Lingxin;  Joo, Sang-Woo;  Choo, Jaebum
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/23
Biodiversity and distribution patterns of blooming jellyfish in the Bohai Sea revealed by eDNA metabarcoding 期刊论文
BMC ECOLOGY AND EVOLUTION, 2024, 卷号: 24, 期号: 1, 页码: 13
作者:  Ye, Lijing;  Peng, Saijun;  Ma, Yuanqing;  Zhang, Wenjing;  Wang, Lei;  Sun, Xiyan;  Zhang, Chen;  Yeasmin, Munjira;  Zhao, Jianmin;  Dong, Zhijun
收藏  |  浏览/下载：11/0  |  提交时间：2024/05/07
Environmental DNA metabarcoding  Jellyfish bloom  Biodiversity  Spatial distribution  
Habitat suitability assessment for Saunders's Gull (Saundersilarus saundersi) in the Yellow River Delta, China 期刊论文
ECOLOGICAL INFORMATICS, 2024, 卷号: 79, 页码: 10
作者:  Li, Dong;  Li, Bin;  Hou, Xiyong;  Wang, Xiaoli;  Li, Xiaowei;  Zhang, Yuxin
浏览  |  Adobe PDF(5429Kb)  |  收藏  |  浏览/下载：133/19  |  提交时间：2024/01/26
Optimized MaxEnt model  Saunders's Gull  Yellow river Delta  Habitat suitability  
Compound extreme inundation risk of coastal wetlands caused by climate change and anthropogenic activities in the Yellow River Delta, China 期刊论文
Advances in Climate Change Research, 2024, 卷号: 15, 期号: 1, 页码: 134-147
作者:  Wang XL(王晓利);  Xiu, LS;  Hu, QQ;  Lee, TC;  Liu, J;  Shi, LL;  Zhou, XN;  Guo, XK;  Hou, LY;  Yin, K 
Adobe PDF(5122Kb)  |  收藏  |  浏览/下载：85/1  |  提交时间：2024/03/20
Zoonoses  Surveillance system  Early warning  Climate change  Interdisciplinary  
Assessing the greenification potential of cyclodextrin-based molecularly imprinted polymers for pesticides detection 期刊论文
FOOD CHEMISTRY, 2023, 卷号: 429, 页码: 16
作者:  Farooq, Saqib;  Xu, Lizhou;  Ostovan, Abbas;  Qin, Chunlian;  Liu, Yingjia;  Pan, Yuxiang;  Ping, Jianfeng;  Ying, Yibin
收藏  |  浏览/下载：64/0  |  提交时间：2024/01/26
Cyclodextrins  Molecularly Imprinted Polymers  Pesticide detection  Green chemistry  Environmental safety  
Insights into technical challenges in the field of microplastic pollution through the lens of early career researchers (ECRs) and a proposed pathway forward 期刊论文
FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 11, 页码: 9
作者:  Danopoulos, Evangelos;  Stanton, Thomas;  Ma, Yini;  Horton, Alice A.;  Chen, Qiqing;  Levermore, Joseph M.;  Li, Jiana;  Mcgoran, Alexandra R.;  Lai, Yujian;  Nolte, Stefanie;  Li, Ruilong;  Barrantes, Lucrecia Alvarez;  Tu, Chen;  Beaumont, Hazel;  Williams, Ben;  Hartl, Mark G. J.;  Shi, Huahong;  Rotchell, Jeanette M.;  Nel, Holly A.
收藏  |  浏览/下载：104/0  |  提交时间：2024/01/26
representativeness  contamination  comparability  time constraints  networking  limitations  
Divergent soil health responses to long-term inorganic and organic fertilization management on subtropical upland red soil in China 期刊论文
ECOLOGICAL INDICATORS, 2023, 卷号: 154, 页码: 11
作者:  Si, Shao-cheng;  Wu, Yu-cheng;  Li, Yuan;  Yang, Shuai;  Peng, Xiao-hong;  Luo, Yong-ming
收藏  |  浏览/下载：110/0  |  提交时间：2024/01/26
Long-term fertilization  Soil fertility  Heavy metal contamination  Soil health  Micronutrients  
A Novel Approach of Monitoring Ulva pertusa Green Tide on the Basis of UAV and Deep Learning 期刊论文
WATER, 2023, 卷号: 15, 期号: 17, 页码: 14
作者:  Xing, Qianguo;  Liu, Hailong;  Li, Jinghu;  Hou, Yingzhuo;  Meng, Miaomiao;  Liu, Chunli
收藏  |  浏览/下载：230/0  |  提交时间：2023/11/15
Ulva pertusa  U-Net  deep learning  remote sensing  unmanned aerial vehicle  
A Review of Application of Machine Learning in Storm Surge Problems 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35
作者:  Qin, Yue;  Su, Changyu;  Chu, Dongdong;  Zhang, Jicai;  Song, Jinbao
收藏  |  浏览/下载：40/0  |  提交时间：2023/11/15
storm surge prediction  machine learning  hybrid methods  physics-informed neural networks