Results 161 to 170 of about 945,387 (289)

Common‐Mode Rejection Shifted‐Excitation Raman Difference Spectroscopy (CMR‐SERDS) Preserves Broad Structure Predictive of Soil Organic Carbon

Journal of Raman Spectroscopy, EarlyView.
Common‐mode rejection (CMR) is introduced as a physics‐motivated preprocessing method for shifted excitation Raman difference spectroscopy (SERDS) that removes the shared background of paired measurements while preserving the noncommon excitation‐dependent component. Applied to more than 900 North American soil samples, CMR improves soil organic carbon
Mahsa Zarei, Miayan Larose, Natalia V. Solomatova, Sadegh Shokatian, Edward Grant   +4 more
wiley   +1 more source

Cumulative Physiological Affect: Thematic Analysis of Forensic Psychological Examination Data from a Homicide Case. [PDF]

J Pers Oriented Res
Kudaibergenova A, Safuanov F, Urisbayeva A, Duisenbekov D, Kalymbetova E.   +4 more
europepmc   +1 more source

Robust Spectroscopic Analysis Through Image‐Based Spectral Representation and Deep Learning Techniques

Journal of Raman Spectroscopy, EarlyView.
This study addresses calibration drift in Raman spectroscopy by transforming 1D spectra into 2D spider plot images processed by pretrained convolutional neural networks. This visualization strategy effectively converts detrimental spectral wavenumber shifts into simple image rotations, allowing the deep learning model to maintain high classification ...
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

Performance criticality as a structural property of forensic expertise: Evidence from an institutional certification system. [PDF]

Forensic Sci Int Synerg
Ortiz Morales F.
europepmc   +1 more source

Qualitative Analysis of Biogas by Raman Spectroscopy: Effect of Pressure on Major Components

Journal of Raman Spectroscopy, EarlyView.
Raman spectra of major and selected minor biogas components were studied under pressures up to 100 bar. Pressure‐induced shifts and band broadening were quantified for methane, carbon dioxide, and nitrogen, while Raman spectra of ammonia and hydrogen sulfide are presented in the context of biogas quality monitoring.
Dominik Tománek, Matouš Kuneš, Tomáš Hlinčík   +2 more
wiley   +1 more source

Detection of Acoustic Phonons in Carbon by Raman Spectroscopy

Journal of Raman Spectroscopy, EarlyView.
Acoustic phonons in graphite and diamond are detected by Raman spectroscopy through disorder‐induced relaxation of selection rules. Comparison with calculated phonon densities of states enables assignment of the observed Raman features to acoustic phonon branches.
Konstantin Iakoubovskii, Andrey Katrusha, Weihua Peng, Jianguo Peng   +3 more
wiley   +1 more source

Beyond the scalpel: forensic patterns, epistemic limits, and the medico-legal classification of femicide. [PDF]

Clinics (Sao Paulo)
Miziara CSMG, Miziara ID.
europepmc   +1 more source

High‐Fidelity Synthetic Raman Spectra Generation for Sinter Basicity Prediction Using β$$ \beta $$‐Variational Autoencoders

Journal of Raman Spectroscopy, EarlyView.
A β$$ \beta $$‐variational autoencoder with β$$ \beta $$ = 0.1 generates high‐fidelity synthetic Raman spectra of industrial sinter with a 16‐fold improvement in spectral fidelity over SMOTE‐based augmentation (KL divergence: 0.0075 vs. 0.121), enabling reliable basicity prediction (R2 = 0.83) from limited labeled datasets.
Marjorie Ariele Pereira, Daniel Cruz Cavalieri, Adilson Ribeiro Prado, Cassius Zanetti Resende, Erica Simões Rodrigues   +4 more
wiley   +1 more source

"Dark Corners": Child Sex Murder, Forensic Expertise, and Protective Treatment in Socialist Czechoslovakia. [PDF]

J Hist Med Allied Sci
Bělehradová A, Láníková M, Lišková K.   +2 more
europepmc   +1 more source

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

Journal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho, Daniel Cruz Cavalieri, Adilson Ribeiro Prado   +2 more
wiley   +1 more source