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Ashwin Vijay Jadhav, P. R. C. Rahul, Vinay Kumar, Umesh Chandra Dumka and Rohini L. Bhawar
Surface solar radiation (SSR) is a fundamental energy source for an equitable and sustainable future. Meteorology-induced variability increases uncertainty in SSR, thereby limiting its reliability due to its intermittent nature. This variability depends ...
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Mengting Li, Kuanle Bao, Hongsong Wang, Youxu Dai, Shuyu Wu, Kun Yan, Shuliang Liu, Qingzheng Yuan and Jiaxing Lu
As urbanization accelerates, a growing influx of pollutants enters the sea through land runoff, posing a threat to coastal ecosystems. In this study, we systematically determined the concentrations of nutrients and heavy metals in the water and sediments...
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Ziyi Wang, Jinqing Jia, Lihua Zhang and Ziqi Li
The direct-shear test is the primary method used to test the shear strength of transparent soil, but this experiment is complex and easily influenced by experimental conditions. In order to simplify the process of obtaining the shear strength of transpar...
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Giuseppina Iacomino, Mohamed Idbella, Alessia Staropoli, Bruno Nanni, Tomaso Bertoli, Francesco Vinale and Giuliano Bonanomi
Wood vinegar is a by-product of the pyrolysis of organic raw materials. In this study, we investigated the chemical composition and biological activity of industrial wood vinegar derived from the pyrolysis of wood pruning waste. The composition of wood v...
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May Zin Toe, Wai Kian Tan, Hiroyuki Muto, Go Kawamura, Atsunori Matsuda and Swee-Yong Pung
As compared to other deposition techniques such as atomic layer deposition, chemical vapour deposition and sputtering, aerosol deposition (AD) is a simple and cost-effective technique to produce ZnO thin films. In this work, the effect of deposition cycl...
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David P. Groeneveld, Timothy A. Ruggles and Bo-Cai Gao
CMAC software provides reliable and accurate conversion of degraded top-of-atmosphere imagery to surface reflectance. Accomplished in near real-time using only scene statistics, CMAC can reside in-satellite to support low-latency corrected image output t...
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Daniel Stoll, Maximilian Kerner, Simon Paas and Sergiy Antonyuk
The measurement and assessment of indoor air quality in terms of respirable particulate constituents is relevant, especially in light of the COVID-19 pandemic and associated infection events. To analyze indoor infectious potential and to develop customiz...
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Giovanni Boccia, Federica Di Spirito, Francesco D?Ambrosio, Francesco De Caro, Domenico Pecora, Riccardo Giorgio, Luigi Fortino, Walter Longanella, Gianluigi Franci, Biagio Santella and Massimo Amato
The risk of microbial air contamination in a dental setting, especially during aerosol-generating dental procedures (AGDPs), has long been recognized, becoming even more relevant during the COVID-19 pandemic. However, individual pathogens were rarely stu...
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Elliot Pachniak, Yongzhen Fan, Wei Li and Knut Stamnes
The Ocean Color?Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART) is a robust data processing platform utilizing scientific machine learning (SciML) in conjunction with comprehensive radiative transfer computations to provide accurate remote sens...
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Sean McCarthy, Summer Crawford, Christopher Wood, Mark D. Lewis, Jason K. Jolliff, Paul Martinolich, Sherwin Ladner, Adam Lawson and Marcos Montes
Here we present a machine-learning-based method for utilizing traditional ocean-viewing satellites to perform automated atmospheric correction of nanosatellite data. These sensor convolution techniques are required because nanosatellites do not usually p...
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