SERS-based technique for accessible and rapid diagnosis of multiple myeloma in blood serum analysis by Lyudmila A. Bratchenko, Yulia A. Khristoforova, Irina A. Pimenova, Elena N. Tupikova, Maria A. Skuratova, Georgy A. Dvoynikov-Sechnoy, Shuang Wang, Petr A. Lebedev, Ivan A. Bratchenko

“…Surface-enhanced Raman spectroscopy (SERS) is a promising analytical method for studying the structure and composition of multi-component media in clinical practice. …”
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Comprehensive characterization of volatile compounds in Iranian black teas using chemometric analysis of GC-MS fingerprints by Adineh Aminianfar, Mohammad Hossein Fatemi, Fatemeh Azimi

“…Subsequently, employing a robust investigative strategy, we utilized for the first time the well-known multivariate curve resolution-alternating least square (MCR-ALS) method as a deconvolution technique to analyze the complex GC–MS peak clusters of tea samples. …”
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Magnetic Induction Spectroscopy-Based Non-Contact Assessment of Avocado Fruit Condition by Tianyang Lu, Adam D. Fletcher, Richard John Colgan, Michael D. O’Toole

“…This study demonstrates that the ripeness of avocado fruits can be analyzed using frequency-dependent electrical conductivity and permittivity through a non-invasive Magnetic Induction Spectroscopy (MIS) method. Utilizing an MIS system for conductivity and permittivity measurements of a large sample set (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mo>=</mo><mn>60</mn></mrow></semantics></math></inline-formula>) of avocado fruits across multiple frequencies from 100 kHz to 3 MHz enables clear observation of their dispersion behavior and the evolution of their spectra over ripening time in a completely non-contact manner. …”
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Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis by Sara Maria Santos Dias da Silva, Marcelo Saito Nogueira, Jaqueline Maria Brandão Rizzato, Simone de Lima Silva, Sheila Cavalca Cortelli, Roger Borges, Herculano da Silva Martinho, Rodrigo Augusto Silva, Luis Felipe das Chagas e Silva de Carvalho

“…This technology operates by meansuring the vibrational energy of molecular composition and structural changes occurring in the tissue. …”
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Advances in Surface-Enhanced Raman Spectroscopy for Urinary Metabolite Analysis: Exploiting Noble Metal Nanohybrids by Ningbin Zhao, Peizheng Shi, Zengxian Wang, Zhuang Sun, Kaiqiang Sun, Chen Ye, Li Fu, Cheng-Te Lin

“…We analyze various fabrication methods that enable precise control over nanostructure morphology, composition, and surface chemistry. …”
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Comparing Grid Model Fitting Methodologies for Low-temperature Atmospheres: Markov Chain Monte Carlo versus Random Forest Retrieval by Anna Lueber, Adam J. Burgasser

“…Self-consistent atmosphere models are commonly used for spectral fitting, but computational limits restrict the production of finely sampled multidimensional parameter grids, necessitating interpolation methods to infer precise parameters and uncertainties. …”
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Influence of low-intensity artificial light on the fatty acid profile of the biotechnologically important culinary mushroom Pleurotus eryngii in vitro by Oksana Mykchaylova, Aleksander Besarab, Anatoliy Negriyko, Margarita Lomberg, Natalia Poyedinok

“…Conclusions The selected mycelial photoactivation modes using low-intensity laser and LED light of different spectral composition and coherence may have potential in the biotechnology of submerged cultivation of P. eryngii to obtain mycelial mass with an improved fatty acid profile, which can be considered as a useful source of lipids.…”
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Fluorescence Spectroscopy and a Convolutional Neural Network for High-Accuracy Japanese Green Tea Origin Identification by Rikuto Akiyama, Kana Suzuki, Yvan Llave, Takashi Matsumoto

“…These similarities are presumed to reflect the comparable growing conditions and processing methods characteristic of the two regions. This study shows the potential of this system in food origin identification, suggesting applications in preventing origin fraud and quality control. …”
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Color stability of clear aligners exposed to various beverages: an in vitro study by Chanakarn Kobkiatkawin, Woraphong Panyayong, Suphachai Suphangul, Sasipa Thiradilok

“…The aim of the present study was to evaluate the color stability of clear aligners when exposed to several types of beverages. Methods A total of 704 (seven hundred four, 176 per brand) clear aligner samples from four brands (Beforedent®, Käse Aligner®, Invisalign® and ClearCorrect®) were immersed in three types of beverages (tea, coffee and cola) and a control solution (artificial saliva) for 6 and 12 hours. …”
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Frequency characteristic of the acoustic emission signal in concrete under compressive loading by K. POGAN

“…Acoustic Emission measurements are very useful in the investigation of changes taking place in a composite during compressive tests. Among the AE intensity measurements (i.e. counts rate, root mean square, etc.) also the frequency analysis of the AE signal seems to be the useful method. …”
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Sequencing Silicates in the Spitzer Infrared Spectrograph Debris Disk Catalog. I. Methodology for Unsupervised Clustering by Cicero X. Lu, Tushar Mittal, Christine H. Chen, Alexis Y. Li, Kadin Worthen, B. A. Sargent, Carey M. Lisse, G. C. Sloan, Dean C. Hines, Dan M. Watson, Isabel Rebollido, Bin B. Ren, Joel D. Green

“…CLUES combines multiple unsupervised clustering methods with multiscale distance measures to discern new groupings and trends, offering insights into compositional diversity and geophysical processes within these disks. …”
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Linear Stability Analysis of the Cahn–Hilliard Equation in Spinodal Region by Seokjun Ham, Darae Jeong, Hyundong Kim, Chaeyoung Lee, Soobin Kwak, Youngjin Hwang, Junseok Kim

“…We study a linear stability analysis for the Cahn–Hilliard (CH) equation at critical and off-critical compositions. The CH equation is solved by the linearly stabilized splitting scheme and the Fourier-spectral method. …”
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Evaluation of the Effect of Light Color on Albumins and Globulins Content During Bean Germination by Victor Manuel Rivera Aguilar, José Pedraza-Chaverri, David Julian Arias-Chávez, Ruth Jaimez, Edgar Flores-Soto, Isaías E. Garduño, Fernando S. Chiwo, Celia Sánchez Pérez, Ana del Carmen Susunaga Notario

“…This study aimed to determine how light of different spectral composition influences protein content across different germination stages. …”
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Medium wavelength infrared HgCdTe discrete photodetectors by Z. F. Tsybrii, K. V. Andreeva, M. V. Apatska, S. G. Bunchuk, M. V. Vuichyk, O. G. Golenkov, N. V. Dmytruk, V. V. Zabudsky, I. O. Lysiuk, K. V. Svezhentsova, M. I. Smolii, F. F. Sizov

“…FTIR transmission spectra were measured to evaluate samples quality and find the composition of x of Hg1–xCdxTe epitaxial layers grown by liquid phase epitaxy method. …”
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Enabling Robust Exoplanet Atmospheric Retrievals with Gaussian Processes by Yoav Rotman, Luis Welbanks, Michael R. Line, Peter McGill, Michael Radica, Matthew C. Nixon

“…Atmospheric retrievals are essential tools for interpreting exoplanet transmission and eclipse spectra, enabling quantitative constraints on the chemical composition, aerosol properties, and thermal structure of planetary atmospheres. …”
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Brake rigging dynamic simulation under braking on a track section with irregularities (the case of a passenger car) by I. A. Yaitskov, V. V. Kosarevskii

“…It was determined that the presence of track irregularities affects the spectral composition of the accelerations. In addition, under the superposition of the bogie-frame pitching and bouncing oscillations, when moving along an uneven track, the rigging block can move up and down the wheel-working surface within a range of up to 50 mm. …”
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Growth Stages Discrimination of Multi-Cultivar Navel Oranges Using the Fusion of Near-Infrared Hyperspectral Imaging and Machine Vision with Deep Learning by Chunyan Zhao, Zhong Ren, Yue Li, Jia Zhang, Weinan Shi

“…Based on preprocessed spectra, optimally selected hyperspectral images, and registered RGB images, a dual-branch multi-modal feature fusion convolutional neural network (CNN) model is established. In this model, a spectral branch is designed to extract spectral features reflecting internal compositional variations, while the image branch is utilized to extract external color and texture features from the integration of hyperspectral and RGB images. …”
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Experimental study on the properties of millimeter-sized NaCl-KCl/MgO ceramic particles for high-temperature solar-thermal phase change applications by Zhu Jingwen, Xu Qiao, Yao Haichen

“…To address these issues, this study proposes a novel method that combines extrusion-spheronization with mixed sintering to produce composite phase change particles with high fluidity, excellent leakage resistance, and high energy storage density. …”
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Profile of biologically active substances of <i>Aronia mitschurinii</i> leaves growing in the conditions of the Central Black Earth region by O. V. Trineeva, O. V. Pugacheva

“…Quantitative determination of the main groups of biologically active substances was carried out according to known methods using modern physicochemical methods of spectrophotometry and capillary electrophoresis.Results and discussion. …”
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Structural, magnetic, and optical characteristics of undoped and chromium, iron, cobalt, copper, and zinc doped nickel oxide nanopowders by Farzaneh Asaldoust, Khosro Mabhouti, Akbar Jafari, Maryam Taleb-Abbasi

“…In this regard, the preparation of pristine NiO and Ni0.95 × 0.05O (X = Cr, Fe, Co, Cu, and Zn) powders was successfully achieved through the co-precipitation method. The X-ray powder diffraction was employed to examine the prepared powders’ phase formation and crystal structure characteristics. …”
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