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Including soil depth as a predictor variable increases prediction accuracy of SOC stocks
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2024, 卷号: 238, 页码: 17
作者:
Li, Jiaying
;
Liu, Feng
;
Shi, Wenjiao
;
Du, Zhengping
;
Deng, Xiangzheng
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2024/04/01
High accuracy surface modelling
Interpolation
Linear model
Machine learning model
Soil organic carbon stocks
Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: Constraining an optimal stomatal model within a two-source energy balance model
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2024, 卷号: 303, 页码: 113999
作者:
Bu, Jingyi
;
Gan, Guojing
;
Chen, Jiahao
;
Su, Yanxin
;
Yuan, Mengjia
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/04/08
Dryland
Evapotranspiration
Contiguous solar-induced chlorophyll fluores
cence
Optimal conductance model
Root-zone soil water content
Land surface temperature
Determination of the pressure and composition of wet gas fluid inclusions: An
in
situ
Raman spectroscopic approach
期刊论文
OAI收割
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2024, 卷号: 308, 页码: 11
作者:
Li, Feiyang
;
Wan, Ye
;
Sun, Dongquan
;
Wang, Xiaolin
;
Hu, Wenxuan
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/02/26
Raman spectroscopy
Experimental calibration
Wet gas
Fluid inclusion
Trapping pressure
Development of a PEI-coated SWNTs Nanocarrier for efficient delivery of CRISPR/Cas9 in early embryos of
Litopenaeus
vannamei
期刊论文
OAI收割
AQUACULTURE, 2024, 卷号: 581, 页码: 14
作者:
Men, Jia L.
;
Zhang, Yu T.
;
Pei, Yue B.
;
Li, Na
;
Xiang, Jian H.
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/07
Litopenaeus vannamei
Nanocarrier
CRISPR/Cas9 gene editing
Transfection
Early embryos
Ultrasensitive fluorescence detection of gonyautoxins in seawater using a novel molecularly imprinted nanoprobe
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 11
作者:
Xu, Huan
;
Lian, Ziru
;
Hao, Xiaochen
;
Li, Fang
;
Yu, Ren-Cheng
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/04/07
Gonyautoxins
Fluorescence enhancement nanoprobe
Seawater
Ultrasensitive detection
Surface molecular imprinting
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning
期刊论文
OAI收割
APPLIED INTELLIGENCE, 2024, 页码: 23
作者:
Liu, Jing-Jing
;
Yao, Jie-Peng
;
Liu, Jin-Hang
;
Wang, Zhong-Yi
;
Huang, Lan
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2024/03/27
Missing time series data
Small samples
Imputation
Classification
Gradient penalized adversarial Multitasking
Incremental Audio-Visual Fusion for Person Recognition in Earthquake Scene
期刊论文
OAI收割
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 2, 页码: 19
作者:
You, Sisi
;
Zuo, Yukun
;
Yao, Hantao
;
Xu, Changsheng
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/21
Cross-modal audio-visual fusion
incremental learning
person recognition
elastic weight consolidation
feature replay
An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 909, 页码: 11
作者:
Hong, Pingping
;
Xiao, Jingen
;
Liu, Hongtao
;
Niu, Zhiguang
;
Ma, Yini
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/01/26
Microplastics
Remote sensing
Inversion model
Abundance
Bohai Sea
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review
期刊论文
OAI收割
BRAIN RESEARCH, 2024, 卷号: 1823, 页码: 13
作者:
Chen, Pindong
;
Zhang, Shirui
;
Zhao, Kun
;
Kang, Xiaopeng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/02/22
Neurodegenerative diseases
Alzheimer's disease
Heterogeneity
Subtype
Data-driven
Comprehensive analysis of phenylpropanoids and butylidenephthalides in
Angelica sinensis
(Oliv.) Diels from different regions and processing methods by high-performance liquid chromatography combined with chemometrics
期刊论文
OAI收割
EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2024, 页码: 16
作者:
Sun, Yan
;
Zhou, Jing
;
Hu, Yuxin
;
Chen, Sihan
;
Ni, Hui
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/02/27
Angelicae Sinensis radix
Origin
Chemometrics
Fingerprints
Single standard to determine the multi-components