Integration of FTIR Spectroscopy, Volatile Compound Profiling, and Chemometric Techniques for Advanced Geographical and Varietal Analysis of Moroccan Eucalyptus Essential Oils by Aimen El Orche, Abdennacer El Mrabet, Amal Ait Haj Said, Soumaya Mousannif, Omar Elhamdaoui, Siddique Akber Ansari, Hamad M. Alkahtani, Shoeb Anwar Ansari, Ibrahim Sbai El Otmani, Mustapha Bouatia

“…This study aims to develop a reliable method for identifying the geographical origin and variety of eucalyptus oil samples through the application of advanced analytical techniques combined with chemometric methods. …”
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Isolation and identification of polyketides from the endophytic fungus Diaporthe pseudomagiferae derived from Acanthus ilicifolius L. and studies on their anti-oxidant and anti-inf... by PAN Yuying, WEI Xia, LIU Yanying, XING Shangping, PAN Bo, QIN Qiyun, MA Xiaolin, DAI Ziteng, GUO Hongwei, ZHU Dan

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Peering into the Black Box: Forward Modeling of the Uncertainty Budget of High-resolution Spectroscopy of Exoplanet Atmospheres by Arjun B. Savel, Megan Bedell, Eliza M.-R. Kempton, Peter C. B. Smith, Jacob L. Bean, Lily L. Zhao, Kaze W. K. Wong, Jorge A. Sanchez, Michael R. Line

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Land cover changes in grassland landscapes: combining enhanced Landsat data composition, LandTrendr, and machine learning classification in google earth engine with MLP-ANN scenari... by Cecilia Parracciani, Daniela Gigante, Onisimo Mutanga, Stefania Bonafoni, Marco Vizzari

“…The LandTrendr (LT) algorithm was used in GEE to collect ground control points in no-change areas automatically. We used a method based on Multilayer Perceptron-Artificial Neural Networks (MLP-ANNs) to forecast 2040 land cover. …”
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Heavy Metals in Glaciers and River Water of the Basin of the Bezengi Cherek River During Intense Graciation Degradation by A. M. Kerimov, O. А. Kurasheva

“…The determination of HM content in ice samples and river waters was carried out from 2003 to 2010 at the High Mountain Geophysical Institute by the method of emission spectral analysis. Sample analysis 2012–2021 were produced by the atomic absorption method on an MGA-915 spectrometer.Results and discussion. …”
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Simulation of the impact of the atmospheric weather state on the efficiency of functioning of solar thermal and power plants by N. I. Moskalenko, A. R. Akhmetshin, Ya. S. Safiullina, I. R. Dodov, M. S. Khamidullina

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Forensic Analysis of Marijuana: Approaches to Establishing Belonging to Previously Separated Plant Mass by A. N. Khokh, P. S. Voskanyan, A. A. Petrosyan

“…The possibility of interpreting spectral data using discriminant analysis of projections on latent structures is shown. …”
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Inter-annual changes and growth trends mapping of mangrove using Landsat time series imagery by Xiaohui Huang, Yingchun Fu, Hu Ding, Guoan Tang, Peifeng Ma, Liangyun Liu, Yufei Xue, Shuting Wu, Ye Chen

“…In this study, a novel mangrove index, named the Composite Mangrove Index (CMI), was developed to map and assess the growth trends of mangroves, based on the truth that the spectral-temporal features of mangrove wetland environment related to greenness, moisture, and bare soil. …”
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National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images by Jie Xue, Xianglin Zhang, Songchao Chen, Zhongxing Chen, Rui Lu, Feng Liu, Bas van Wesemael, Zhou Shi

“…First, a new time-series bare soil extraction method, the Two-Dimensional Bare Soil Separation Algorithm, was applied, utilizing Sentinel-2 images from 2018 to 2022 to generate a continuous spectral reflectance composite. …”
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Synthesis of novel titania nanoparticles using corn silky hair fibres and their role in developing a smart restorative material in dentistry by Afsheen Mansoor, Emaan Mansoor, Ezza Mansoor, Efrah Mansoor, Atta Ullah Shah, Uzma Asjid, João Filipe Brochado Martins, Sami Ullah Khan, Paulo J. Palma

“…The main objective of this study was to synthesise cost-effective titania nanoparticles (TiO₂ NPs) from biowaste corn silky hair fibre. Methods: The titania nanoparticles (TiO₂ NPs) were characterised through x-ray diffraction; scanning electron microscopy; energy-dispersive spectroscopy; Fourier transform spectroscopy, and atomic force microscopy, as well as dynamic light-scattering to identify their phases, morphologies, dimensions, and chemical compositions. …”
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The influence of silicon content on the structure of Cu55Ni6Mn4Zn brazing alloy and on the structure and properties of brazed joints by Igor N. Pashkov, Magomed R. Gadzhiev, Stanislav A. Tavolzhanskiy, Tatiana A. Bazlova, Vyacheslav E. Bazhenov, Diana A. Katanaeva

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Prediction Model of the Key Components for Lodging Resistance in Rapeseed Stalk Using Near-Infrared Reflectance Spectroscopy (NIRS) by Jie Kuai, Shengyong Xu, Cheng Guo, Kun Lu, Yaoze Feng, Guangsheng Zhou

“…By taking the advantage of NIRS, we developed a rapid method to determine the content of six key composition without crushing the stalk. …”
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THE EFFECTIVE MEDIUM THEORY AS A TOOL FOR ANALYZING THE OPTICAL PROPERTIES OF NANOCOMPOSITES by A. N. Yurasov, M. M. Yashin

“…A good qualitative and quantitative agreement of the experimental and model spectral dependences was observed. The dielectric permittivity values for Cu + Si nanocomposite were calculated by the Maxwell-Garnett method. …”
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Avocado fruit sorting by hyperspectral images by D. A. Metlenkin, R. A. Platova, Yu. T. Platov, O. V. Fedoseenko, O. V. Sadkova

“…Calibration models for determination of moisture and dry matter of avocado fruits were built based on the data of moisture measurement and hyperspectral images. The matrix of spectral data was formed by two methods: random selection of spectral signatures of HSIs from the whole surface of fruits or the image surface of HSIs of fruits (initial HSIs) as a region of interest (ROI). …”
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Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…Employing distinct preprocessing methods for different elemental compositions within various rock types helps mitigate spectral discrepancies caused by matrix effects, reduces spectral fluctuations and data noise, and enhances the accuracy and stability of quantitative analysis. …”
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Hyperspectral Band Selection for Crop Identification and Mapping of Agriculture by Yulei Tan, Jingtao Gu, Laijun Lu, Liyuan Zhang, Jianyu Huang, Lin Pan, Yan Lv, Yupeng Wang, Yang Chen

“…Different crops, as well as the same crop at different growth stages, display distinct spectral and spatial characteristics in hyperspectral images (HSIs) due to variations in their chemical composition and structural features. …”
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Dead Sea Stromatolite Reefs: Testing Ground for Remote Sensing Automated Detection of Life Forms and Their Traces in Harsh Environments by Nuphar Gedulter, Amotz Agnon, Noam Levin

“…In an effort to characterize the biosignatures and chemical composition inherent to stromatolites, we created a spectral classification scheme for distinguishing between stromatolites and their bedrock environment—typically carbonatic rocks, mostly dolomites. …”
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Material synthesis and evaluation of metrological characteristics of potassium fluozirconate certified reference material by D. G. Lisienko, M. A. Dombrovskya, E. D. Kubrina, N. Ya. Varkentin

“…Research methods: X-ray diffraction, differential scanning colorimetry, thermogravimetric analysis, atomic-emission spectral analysis with arc excitation, mass spectral analysis, X-ray fluorescence analysis. …”
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Transformer-Based Power Conversion System with Synchronous Adjustment of Modulated Inverters by Oleschuk V.

“…Modification of algorithms of space-vector modulation for transformer-based system with several converters allows providing an improvement of spectral composition of winding voltages of the system. …”
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Exploring the structural variability in developing wheat grains using autofluorescence multispectral imaging at the macroscopic scale by Anne-Laure Chateigner-Boutin, Fabienne Guillon, Marie-Françoise Devaux

“…The images were analyzed using principal component analysis of large image series (large PCA). This chemometric method enables the quantification of the variability, its localization, highlighting the associated spectral characteristics and their attribution to chemical compounds.ResultsRegional and temporal heterogeneity was revealed. …”
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