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[HTML][HTML] Nano biosensors: properties, applications and electrochemical techniques
X Huang, Y Zhu, E Kianfar - Journal of Materials Research and Technology, 2021 - Elsevier
A sensor is a tool used to directly measure the test compound (analyte) in a sample. Ideally,
such a device is capable of continuous and reversible response and should not damage the …
such a device is capable of continuous and reversible response and should not damage the …
[HTML][HTML] Nanomaterials as transmitters of non-viral gene vectors: A review
With the rapid development of nanotechnology in the recent decade, novel DNA and RNA
delivery systems for gene therapy have become available that can be used instead of viral …
delivery systems for gene therapy have become available that can be used instead of viral …
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection
J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis
W Shan, Z Qiao, AA Heidari, H Chen… - Knowledge-Based …, 2021 - Elsevier
Moth flame optimization (MFO) is a swarm-based algorithm with mediocre performance and
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
marginal originality proposed in recent years. It tried to simulate the fantasy navigation mode …
A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020
Accurate high-resolution actual evapotranspiration (ET) and gross primary production (GPP)
information is essential for understanding the large-scale water and carbon dynamics …
information is essential for understanding the large-scale water and carbon dynamics …
A deep learning-based framework for multi-source precipitation fusion
Accurate quantitative precipitation estimation (QPE) is essential for various applications,
including land surface modeling, flood forecasting, drought monitoring and prediction. In situ …
including land surface modeling, flood forecasting, drought monitoring and prediction. In situ …
Disentangling the relative impacts of climate change and human activities on arid and semiarid grasslands in Central Asia during 1982–2015
In recent decades, climate change and human activities have severely affected grasslands
in Central Asia. Grassland regulation and sustainability in this region require an accurate …
in Central Asia. Grassland regulation and sustainability in this region require an accurate …
[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques
Study region The present study has been carried out in the Tabriz River basin (5397 km 2) in
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
north-western Iran. Elevations vary from 1274 to 3678 m above sea level, and slope angles …
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
Recurrent floods are one of the major global threats among people, particularly in
develo** countries like India, as this nation has a tropical monsoon type of climate …
develo** countries like India, as this nation has a tropical monsoon type of climate …
A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China
To improve the accuracy of quantitative precipitation estimation (QPE), numerous models
have been developed for merging satellite and gauge precipitation. However, most …
have been developed for merging satellite and gauge precipitation. However, most …