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Added‐Value Surfactants [PDF]

Chemistry – A European Journal, 2018
AbstractSurfactants are ubiquitous in cellular membranes, detergents or as emulsification agents. Due to their amphiphilic properties, they cannot only mediate between two domains of very different solvent compatibility like water and organic but also show fascinating self‐assembly features resulting in micelles, vesicles, or lyotropic liquid crystals.
Sebastian Polarz, Marius Kunkel, Adrian Donner, Moritz Schlötter   +3 more
openaire   +3 more sources

BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter

Data in Brief, 2023
Marine plastic pollution is a pressing global issue nowadays. To address this problem, automated image analysis techniques that can identify plastic litter are necessary for scientific research and coastal management purposes.
Mitsuko Hidaka, Koshiro Murakami, Kenta Koshidawa, Shintaro Kawahara, Daisuke Sugiyama, Shin'ichiro Kako, Daisuke Matsuoka   +6 more
doaj   +1 more source

Skillful Multiyear Prediction of the Kuroshio and Gulf Stream Jets and Eddy Activity

Geophysical Research Letters, 2023
The Kuroshio and Gulf Stream (GS), Northern Hemisphere warm ocean currents, have narrow bands of intense jets and vigorous eddies. While the importance of them in regulating physical and biological ocean systems and climate has been increasingly ...
Shoichiro Kido, Masami Nonaka, Yasumasa Miyazawa   +2 more
doaj   +1 more source

Predicting extreme floods and droughts in East Africa using a deep learning approach

npj Climate and Atmospheric Science, 2023
The East African region is highly susceptible to severe floods and persistent droughts, which greatly impact the livelihood of millions of people. Early warnings, at least a few seasons in advance, would help implement mitigation measures.
Kalpesh Ravindra Patil, Takeshi Doi, Swadhin K. Behera   +2 more
doaj   +1 more source

Combining Dynamical and Statistical Modeling to Improve the Prediction of Surface Air Temperatures 2 Months in Advance: A Hybrid Approach

Frontiers in Climate, 2022
A new type of hybrid prediction system (HPS) of the land surface air temperature (SAT) is described and its skill evaluated for one particular application.
Pascal Oettli, Masami Nonaka, Ingo Richter, Hiroyuki Koshiba, Yosuke Tokiya, Itsumi Hoshino, Swadhin K. Behera   +6 more
doaj   +1 more source

Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, Japan

Earth, Planets and Space, 2021
In the present study, we propose a new approach for determining earthquake hypocentral parameters. This approach integrates computed theoretical seismograms and deep machine learning.
Daisuke Sugiyama, Seiji Tsuboi, Yohei Yukutake   +2 more
doaj   +1 more source

Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition

Progress in Earth and Planetary Science, 2021
Image data classification using machine learning is an effective method for detecting atmospheric phenomena. However, extreme weather events with a small number of cases cause a decrease in classification prediction accuracy owing to the imbalance in ...
Daisuke Matsuoka
doaj   +1 more source

Edible Plant Oil: Global Status, Health Issues, and Perspectives

Frontiers in Plant Science, 2020
Edible plant oil (EPO) is an indispensable nutritional resource for human health. Various cultivars of oil-bearing plants are grown worldwide, and the chemical compositions of different plant oils are diverse.
Ying Zhou, Weiwei Zhao, Yong Lai, Baohong Zhang, Dangquan Zhang   +4 more
doaj   +1 more source

An aqueous electrolyte densified by perovskite SrTiO3 enabling high-voltage zinc-ion batteries

Nature Communications, 2023
The conventional weak acidic electrolyte for aqueous zinc-ion batteries breeds many challenges, such as undesirable side reactions, and inhomogeneous zinc dendrite growth, leading to low Coulombic efficiency, low specific capacity, and poor cycle ...
Rongyu Deng, Zhenjiang He, Fulu Chu, Jie Lei, Yi Cheng, You Zhou, Feixiang Wu   +6 more
doaj   +1 more source

Classification of Interannual Surface Layer Salinity Variability

Geophysical Research Letters, 2023
Since surface layer salinity (SLS) mainly reflects sea surface freshwater flux and affects ocean circulation and upper ocean stratification by modifying seawater density, knowledge of SLS variability is important to better understand the global ...
S. Katsura, J. Sprintall, S. Kido, Y. Tanimoto, M. Nonaka   +4 more
doaj   +1 more source