|
|
|
|
|
Chunjian Lyu, Jianglong Cui, Fangyuan Jin, Xiaojie Li and Yaning Xu
The riparian zone has a proven ability to reduce agricultural nonpoint-source nitrogen pollution. However, prior studies have only assessed nitrification and denitrification and their influencing factors, such as hydrology, climate, vegetation, and soil ...
ver más
|
|
|
|
|
|
|
|
|
Liushuai Cao, Yanyan Pan, Gang Gao, Linjie Li and Decheng Wan
Wakes produced by underwater vehicles, particularly submarines, in density-stratified fluids play a pivotal role across military, academic, and engineering domains. In comparison to homogeneous fluid environments, wakes in stratified flows exhibit distin...
ver más
|
|
|
|
|
|
|
|
|
Olga Kurasova, Arnoldas Bud?ys and Viktor Medvedev
As artificial intelligence has evolved, deep learning models have become important in extracting and interpreting complex patterns from raw multidimensional data. These models produce multidimensional embeddings that, while containing a lot of informatio...
ver más
|
|
|
|
|
|
|
|
|
Evgeniya Ermakova, Sergey Sysoev, Irina Tsyrendorzhieva, Alexander Mareev, Olga Maslova, Vladimir Shayapov, Eugene Maksimovskiy, Irina Yushina and Marina Kosinova
We report an investigation into 1,4-Bis-N,N-(trimethylsilyl)piperazine (BTMSP) as a novel precursor for the synthesis of silicon carbonitride films by chemical vapor deposition (CVD). The thermal stability, temperature dependence of vapor pressure and th...
ver más
|
|
|
|
|
|
|
|
|
Xiaori Gao, Lidong Wang, Zeyu Wu and Xiaodong Liu
The steady turning motion of merchant ships is modeled according to industry specifications. However, challenges arise when motorboats are modeled. This study proposes a novel data-driven multi-block fuzzy cognitive map (FCM) model trained based on sea t...
ver más
|
|
|
|