[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 …

[HTML][HTML] Nanomaterials as transmitters of non-viral gene vectors: A review

AK Alkhawaldeh, AM Rheima, MM Kadhim… - Case Studies in …, 2023 - Elsevier
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 …

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 …

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 …

A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020

S He, Y Zhang, N Ma, J Tian, D Kong… - Earth System Science …, 2022 - essd.copernicus.org
Accurate high-resolution actual evapotranspiration (ET) and gross primary production (GPP)
information is essential for understanding the large-scale water and carbon dynamics …

A deep learning-based framework for multi-source precipitation fusion

K Gavahi, E Foroumandi, H Moradkhani - Remote Sensing of Environment, 2023 - Elsevier
Accurate quantitative precipitation estimation (QPE) is essential for various applications,
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

T Chen, A Bao, G Jiapaer, H Guo, G Zheng… - Science of the Total …, 2019 - Elsevier
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 …

[HTML][HTML] Modeling groundwater potential using novel GIS-based machine-learning ensemble techniques

A Arabameri, SC Pal, F Rezaie, OA Nalivan… - Journal of Hydrology …, 2021 - Elsevier
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 …

Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms

A Saha, SC Pal, A Arabameri, T Blaschke, S Panahi… - Water, 2021 - mdpi.com
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 …

A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China

H Wu, Q Yang, J Liu, G Wang - Journal of Hydrology, 2020 - Elsevier
To improve the accuracy of quantitative precipitation estimation (QPE), numerous models
have been developed for merging satellite and gauge precipitation. However, most …