AIMC Topic: Water
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Elucidation of the mechanism by which the internal structure of food controls the quality.
Bioscience, biotechnology, and biochemistry
Aug 23, 2023
Several of the existing food manufacturing processes are based on empirical knowledge, and not many are rationally designed and operated based on a sufficient understanding of the underlying phenomena. Drying and rehydration processes are one such ex...
Toward a general neural network force field for protein simulations: Refining the intramolecular interaction in protein.
The Journal of chemical physics
Jul 14, 2023
Molecular dynamics (MD) is an extremely powerful, highly effective, and widely used approach to understanding the nature of chemical processes in atomic details for proteins. The accuracy of results from MD simulations is highly dependent on force fi...
Statistical quality control based on control charts and process efficiency index by the application of fuzzy approach (case study: Ha'il, Saudi Arabia).
Water science and technology : a journal of the International Association on Water Pollution Research
Jun 1, 2023
Fuzzy methods using linguistic expressions and fuzzy numbers can provide a more accurate examination of manufacturing systems where data is not clear. Researchers expanded fuzzy control charts (CCs) using fuzzy linguistic statements and investigated ...
Application of soft computing techniques to estimate the scouring depth formed by crossing jets.
Water science and technology : a journal of the International Association on Water Pollution Research
Apr 1, 2023
The scouring depth caused by the water jet outputs from a dam is one of the crucial parameters for design purposes. Due to the importance of the subject, several laboratory studies have been conducted to understand this subject. Nevertheless, using s...
[Methodology and application of precipitation isoscapes of stable hydrogen and oxygen isotopes].
Ying yong sheng tai xue bao = The journal of applied ecology
Feb 1, 2023
The precipitation isoscapes of stable hydrogen and oxygen isotopes combine isotope tracing technology with spatial perspective, which are useful to examine the source and sink of water in different regions, to understand the isotope fractionation in ...
Hybrid wavelet-gene expression programming and wavelet-support vector machine models for rainfall-runoff modeling.
Water science and technology : a journal of the International Association on Water Pollution Research
Dec 1, 2022
It is critical to use research methods to collect and regulate surface water to provide water while avoiding damage. Following accurate runoff prediction, principled planning for optimal runoff is implemented. In recent years, there has been an incre...
Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning.
Journal of experimental botany
Nov 2, 2022
A major challenge for the estimation of crop traits (biophysical variables) from canopy reflectance is the creation of a high-quality training dataset. To address this problem, this research investigated a conceptual framework by integrating a crop g...
Molecular dipole moment learning via rotationally equivariant derivative kernels in molecular-orbital-based machine learning.
The Journal of chemical physics
Sep 14, 2022
This study extends the accurate and transferable molecular-orbital-based machine learning (MOB-ML) approach to modeling the contribution of electron correlation to dipole moments at the cost of Hartree-Fock computations. A MOB pairwise decomposition ...
Deep learning-based quasi-continuum theory for structure of confined fluids.
The Journal of chemical physics
Aug 28, 2022
Predicting the structural properties of water and simple fluids confined in nanometer scale pores and channels is essential in, for example, energy storage and biomolecular systems. Classical continuum theories fail to accurately capture the interfac...
Fingerprint multiplex CARS at high speed based on supercontinuum generation in bulk media and deep learning spectral denoising.
Optics express
Aug 15, 2022
We introduce a broadband coherent anti-Stokes Raman scattering (CARS) microscope based on a 2-MHz repetition rate ytterbium laser generating 1035-nm high-energy (≈µJ level) femtosecond pulses. These features of the driving laser allow producing broad...
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