Results 251 to 260 of about 3,408 (306)
Transient Interference Excision and Spectrum Reconstruction with Partial Samples Using Modified Alternating Direction Method of Multipliers-Net for the Over-the-Horizon Radar. [PDF]
Man Z, Huang Q, Duan J.
europepmc +1 more source
Hydrolyzation‐Free Characterization of Acetalated Dextran via 2D Correlated Raman Spectroscopy
The hydrophilicity and stability of acetalated dextran can be modified by controlling the ratio of cyclic and acyclic substitution products, allowing the alteration of the material's degradation profile. Raman spectroscopy offers a non‐destructive analysis method of the solid products independent of the time critical acetone signal in 1H‐NMR.
Julian Plitzko+5 more
wiley +1 more source
Optimized System Identification (SI) of Brushless DC (BLDC) motor using Data-Driven Modeling Methods. [PDF]
Khan MA, Baig DE, Ali H, Albogamy FR.
europepmc +1 more source
Structural changes in semi‐refined flaxseed protein extracts were effectively characterized using Raman spectroscopy coupled with PCA. The application of higher PEF energy enhanced hydrophobic interactions among aliphatic amino acids, while at lower PEF inputs, the extraction medium dictated secondary structure formation: α‐helices favored in aqueous ...
Jervee M. Punzalan+7 more
wiley +1 more source
A hybrid PSO-GWO-based phase shift design for a hybrid-RIS-aided heterogeneous network system. [PDF]
Soumana Hamadou AN+2 more
europepmc +1 more source
Coherent Terahertz Hyper‐Raman Spectroscopy
In this paper, we review our recent discovery of a novel nonlinear effect in the terahertz frequency range, which we have termed terahertz hyper‐Raman (THYR) spectroscopy. This technique shares many characteristics with conventional hyper‐Raman spectroscopy but is applied within the THz spectrum.
Domenico Paparo+2 more
wiley +1 more source
A Method for Mounting Space Telescope Optical Systems Based on the Sensitivity Matrix of Intrinsic Coefficients. [PDF]
Hou H, Ding H, Dong K, Cao G, Wang B.
europepmc +1 more source
The main processes involved in predicting the pre–osteoblast proliferation rate using Raman spectroscopy and machine learning. ABSTRACT This novel study focuses on using Raman spectroscopy and machine learning (ML) models to forecast the murine pre‐osteoblast (OB) proliferation rate.
Sai S. Sudha+3 more
wiley +1 more source