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Journal articles on the topic 'The multiplicate discriminantal analysis'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Blazhevich, O., A. Karachun, and A. Suleymanova. "Comparative analysis and application of methods for predicting bankruptcy." Bulletin of Science and Practice, no. 5 (May 14, 2017): 161–75. https://doi.org/10.5281/zenodo.579745.

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In article methods of forecasting of bankruptcy are considered, their classification, the characteristic, a design procedure is given, merits and demerits are resulted. On an example of data of the accounting reporting of the enterprise–bankrupt the probability of bankruptcy is certain by each of analyzed methods. The analysis of procedures is lead and the most precise models are revealed.

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Lavault, Christian. "Multiplicate inverse forms of terminating hypergeometric series." Integral Transforms and Special Functions 25, no. 9 (2014): 730–49. http://dx.doi.org/10.1080/10652469.2014.905933.

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Kidov, A. A., R. A. Ivolga, T. E. Kondratova, A. A. Ivanov, and E. A. Kidova. "On the problem of specific identification in triploid (Bufotes baturae) and tetraploid (B. pewzowi) green toads (Amphibia, Anura, Bufonidae) of Central Asia by morphometric characteristics." Current Studies in Herpetology 23, no. 1/2 (2023): 27–35. http://dx.doi.org/10.18500/1814-6090-2023-23-1-2-27-35.

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The paper presents the results of using multiplicative indices for species identification of polyploid green toads of Central Asia. Live adult individuals of Bufotes baturae (24 females and 17 males) from the territory of Tajikistan and B. pewzowi (14 females and 24 males) from Kazakhstan, Uzbekistan and Tajikistan were studied. The animals were caught in nature, measured and immediately released. The species belonging of the studied green toads was established by cytogenetic methods. According to the results of discriminant analysis, six proportionality indices were significant for the specie

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Xu, Jing Bo, and Nan Jing. "Quantitative Structure-Activity Analyses of Nitrobenzene Toxicity to Paramecium caudatum." Applied Mechanics and Materials 295-298 (February 2013): 113–17. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.113.

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In this study IGC50 (50% inhibitory growth concentration) values of 26 nitrobenzenes were determined for population growth endpoint of Paramecium caudatum. Quantitative structure activity relationships (QSARs) were developed using log of the inverse of the IGC50 (logIGC50-1) in mole liter as the dependent variable and 6 molecular descriptors (logP, 1XⅤ, I, 1Ka, ∑σ- and ELUMO) as the independent variables. Through multiplicate regression analysis, one best QSAR equation was obtained. The equation was used to estimate IGC50 for 7 analogues.

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Lv, Hao, Wenjie Xu, Juan You, and Shanbai Xiong. "Classification of freshwater fish species by linear discriminant analysis based on near infrared reflectance spectroscopy." Journal of Near Infrared Spectroscopy 25, no. 1 (2017): 54–62. http://dx.doi.org/10.1177/0967033516678801.

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Near infrared reflectance spectroscopy was used to discriminate different species of freshwater fish samples. Samples from seven freshwater fish species of the family Cyprinidae (black carp ( Mylopharyngodon piceus), grass carp ( Ctenopharyngodon idellus), silver carp ( Hypophthalmichthys molitrix), bighead carp ( Aristichthys nobilis), common carp ( Cyprinus carpio), crucian ( Carassius auratus), and bream ( Parabramis pekinensis)) were scanned by near infrared reflectance spectroscopy from 1000 nm to 1799 nm. Linear discriminant analysis models were built for the classification of species. W

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Shen, Yanjun, Xiaohong Wu, Bin Wu, Yang Tan, and Jinmao Liu. "Qualitative Analysis of Lambda-Cyhalothrin on Chinese Cabbage Using Mid-Infrared Spectroscopy Combined with Fuzzy Feature Extraction Algorithms." Agriculture 11, no. 3 (2021): 275. http://dx.doi.org/10.3390/agriculture11030275.

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Excess pesticide residues on cabbage are harmful to humans. In this study, we propose an innovative strategy for a quick and nondestructive qualitative test of lambda-cyhalothrin residues on Chinese cabbage. Spectral profiles of Chinese cabbage leaf samples with different concentrations of surface residues of lambda-cyhalothrin were collected with an Agilent Cary 630 FTIR Spectrometer. Standard normal variate (SNV), multiplicative scatter correlation (MSC), and principle component analysis (PCA) were utilized to preprocess the spectra. Then, fuzzy Foley-Sammon transformation (FFST), fuzzy line

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Smeshko, Oleg G., Lyubov K. Shamina, and Alexander V. Babkin. "FACTOR ANALYSIS OF INNOVATIVE DEVELOPMENT OF THE REGION: ASSESSMENT OF THE MULTIPLICATE IMPACT OF GROWTH DRIVERS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 11/6, no. 140 (2023): 139–51. http://dx.doi.org/10.36871/ek.up.p.r.2023.11.06.015.

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This article is devoted to the development of the methodology of regional and sectoral economics and contains the results of research in the field of assessing the multiplicative impact of growth drivers on the regional economy. Indicates the need to create a unified theoretical framework, including a conceptual apparatus and classification models of economic growth in the area of interest. Factor impulses are identified that contribute to the long-term and sustainable development of the region, indicators that will contribute to the target multiplicative impact on the development of the regio

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Al Nuwairan, Muneerah, and Adel Elmandouh. "Modification to an Auxiliary Function Method for Solving Space-Fractional Stochastic Regularized Long-Wave Equation." Fractal and Fractional 9, no. 5 (2025): 298. https://doi.org/10.3390/fractalfract9050298.

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This study aims to explore the effect of spatial-fractional derivatives and the multiplicative standard Wiener process on the solutions of the stochastic fractional regularized long-wave equation (SFRLWE) and contribute to its analysis. We introduce a new systematic method that combines the auxiliary function method with the complete discriminant polynomial system. This method proves to be effective in discovering precise solutions for stochastic fractional partial differential equations (SFPDEs), including special cases. Applying this method to the SFRLWE yields new exact solutions, offering

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Trouillas, Paul, Frederic Philippeau, Norbert Nighoghossian, Laurent Derex, Jerome Honnorat, and Patrice Adeleine. "THE ”MAKING“ OF A PARENCHYMAL HEMATOMA. An early coagulopathy and specific risk factors contribute to grave intracerebral bleeding after intravenous rtPA thrombolysis." Stroke 32, suppl_1 (2001): 345. http://dx.doi.org/10.1161/str.32.suppl_1.345-a.

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P34 Background : Several factors are suspected in the occurrence of hemorrhages after rtPA thrombolysis in cerebral infarcts, but little is known about coagulation in these patients. Methods and results : One hundred consecutive patients had rtPA at the dose of 0.8 mg/kg infused for 90 minutes.We studied the values of fibrinogen, FDP, aPTT, INR and thrombocyte count before thrombolysis and at 2 and 24 hours. Results: Cerebral bleeding at 24 hours included 16 hemorrhagic infarcts (HI) and 7 parenchymal hematomas (PH). 1. Cerebral bleeding in general. Univariate analysis comparing patientswith H

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Zielińska-Sitkiewicz, Monika. "THE FLU: AN ANALYSIS OF ECONOMIC COSTS AND MORBIDITY RATES IN POLAND IN THE PERIOD 2013–2019 USING ADAPTIVE PREDICTION METHODS." Acta Scientiarum Polonorum. Oeconomia 19, no. 4 (2021): 139–46. http://dx.doi.org/10.22630/aspe.2020.19.4.50.

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The flu is one of the most common human illnesses in the world. The number of infections is increasing year after year, and a flu pandemic could cause significant losses in the global economy. The aim of the study is to analyse the economic costs of the flu in Poland and to investigate the number of flu cases with the use of selected adaptive prediction methods. The research was conducted using monthly data collected by the National Institute of Public Health – National Institute of Hygiene for the period from January 2013 to December 2019. Three forecasting methods were used to perform the an

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Csorba, Virág, Marietta Fodor, Szilvia Kovács, and Magdolna Tóth. "Potential of fourier transformed near-infrared (FT-NIR) spectroscopy for rapid analysis of elderberry (Sambucus nigra L.) fruits." Czech Journal of Food Sciences 37, No. 1 (2019): 21–28. http://dx.doi.org/10.17221/144/2018-cjfs.

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Fruit samples were analysed to investigate the suitability of Fourier transform near infrared spectroscopy (FT-NIR) for the rapid discrimination of elderberry genotypes. Parallel analysis with classical chemical techniques and spectral measurements was performed on 11 cultivars originating from various European countries. The titratable acidity (TA) and soluble solids content (SSC) of the fruit, and the geographical origin and breeding method of the cultivar were used as reference data. Three spectrum transformation methods (standard normal variation, multiplicative scatter correction and firs

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Song, Shijie, Xiaohong Wu, Mingyu Li, and Bin Wu. "Identifying the Geographical Origin of Wolfberry Using Near-Infrared Spectroscopy and Stacking-Orthogonal Linear Discriminant Analysis." Foods 14, no. 10 (2025): 1684. https://doi.org/10.3390/foods14101684.

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The geographical origin identification of wolfberry is key to ensuring its medicinal and edible quality. To accurately identify the geographical origin, the Stacking-Orthogonal Linear Discriminant Analysis (OLDA) algorithm was proposed by combining OLDA with the Stacking ensemble learning framework. In this study, Savitzky–Golay (SG) + Multiplicative Scatter Correction (MSC) served as the optimal preprocessing method. Four classifiers—K-Nearest Neighbors (KNN), Decision Tree, Support Vector Machine (SVM), and Naive Bayes—were used to explore 12 stacked combinations on 400 samples from five reg

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Qi, Zuxuan, Xiaohong Wu, Yangjian Yang, Bin Wu, and Haijun Fu. "Discrimination of the Red Jujube Varieties Using a Portable NIR Spectrometer and Fuzzy Improved Linear Discriminant Analysis." Foods 11, no. 5 (2022): 763. http://dx.doi.org/10.3390/foods11050763.

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In order to quickly, nondestructively, and effectively distinguish red jujube varieties, based on the combination of fuzzy theory and improved LDA (iLDA), fuzzy improved linear discriminant analysis (FiLDA) algorithm was proposed to classify near-infrared reflectance (NIR) spectra of red jujube samples. FiLDA shows performs better than iLDA in dealing with NIR spectra containing noise. Firstly, the portable NIR spectrometer was employed to gather the NIR spectra of five kinds of red jujube, and the initial NIR spectra were pretreated by standard normal variate transformation (SNV), multiplicat

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Du, Shengrong, Qun Zhang, Haohao Guan, et al. "Micro-Raman Analysis of Sperm Cells on Glass Slide: Potential Label-Free Assessment of Sperm DNA toward Clinical Applications." Biosensors 12, no. 11 (2022): 1051. http://dx.doi.org/10.3390/bios12111051.

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Routine assessment of sperm DNA integrity involves the time-consuming and complex process of staining sperm chromatin. Here, we report a Raman spectroscopy method combined with extended multiplicative signal correction (EMSC) for the extraction of characteristic fingerprints of DNA-intact and DNA-damaged sperm cells directly on glass slides. Raman results of sperm cell DNA integrity on glass substrates were validated one-to-one with clinical sperm cell staining. Although the overall Raman spectral pattern showed considerable similarity between DNA-damaged and DNA-intact sperm cells, difference

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Tan, Huizhen, Yang Liu, Hui Tang, Wei Fan, Liwen Jiang, and Pao Li. "Accurate Discrimination of Mold-Damaged Citri Reticulatae Pericarpium Using Partial Least-Squares Discriminant Analysis and Selected Wavelengths." Foods 13, no. 23 (2024): 3856. http://dx.doi.org/10.3390/foods13233856.

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Unscrupulous merchants sell the mold-damaged Citri Reticulatae Pericarpium (CRP) after removing the mold. In this study, an accurate and non-destructive strategy was developed for the discrimination of mold-damaged CRPs using portable near-infrared (NIR) spectroscopy and chemometrics. The outer surface and inner surface spectra were obtained without destroying CRPs. The discrimination models were established using partial least squares-discriminant analysis (PLS-DA) and wavelength selection strategy was used to further improve the discrimination ability. The predictive ability of models was as

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16

Becker, Thomas E., and Robert J. Vance. "Construct Validity of Three Types of Organizational Citizenship behavior: An Illustration of the Direct Product Model with Refinements." Journal of Management 19, no. 3 (1993): 663–82. http://dx.doi.org/10.1177/014920639301900309.

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The direct product model is a new analysis tool for modeling multitrait-multimethod data. This model may avoid some of the problems associated with conventional analysis of multitrait-multimethod data by allowing for the possibility of multiplicative trait-method interactions. Based on the work of Browne (1984; 1990), we suggest several refinements in testing this model, including use of confirmatory procedures for testing model fit and implementation of a hierarchical approach to model comparisons. We provide an illustration of the refined direct product approach using a study of three types

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Zulfani, Elga, Dedi Satria, Nurul Widya, and Ifan Rivaldo. "Klasifikasi Tiga Varietas Daun Gambir (Uncaria Gambir Roxb.) Menggunakan Spektroskopi Inframerah dan Analisis Kemometrik." Menara Ilmu 19, no. 2 (2025): 536–43. https://doi.org/10.31869/mi.v19i2.6658.

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Penelitian ini bertujuan untuk mengklasifikasikan tiga varietas daun gambir (Uncaria gambir Roxb.), yaitu varietas Udang, Riau, dan Cubadak, yang tumbuh di Sumatera Barat, menggunakan metode spektroskopi Fourier Transform Infrared Spectroscopy (FTIR) dan analisis kemometrik. Spektrum inframerah diperoleh dalam rentang panjang gelombang 4000–500 cm⁻¹. Analisis kemometrik yang digunakan meliputi Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), dan Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). Sebelum analisis kemometrik dilakukan, data

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Xu, Shujun, Yanping Xie, and Chunxiang Xu. "Routine classification of food pathogensStaphylococcusandSalmonellaby ATR–FT-IR spectroscopy." Spectroscopy 26, no. 1 (2011): 53–58. http://dx.doi.org/10.1155/2011/232807.

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Fourier-transform infrared equipped with attenuated total reflection (ATR–FT-IR) was used in combination with multivariate statistical analysis for classification and identification of food pathogensStaphylococcusandSalmonella. The goals of the present study were to validate the feasibility of ATR–FT-IR in collecting information for discriminating different bacteria, and to assess the merits of two routes for effectively identify target foodborne bacteria. The results showed that ATR–FT-IR was able to provide enough chemical information of each species. Cluster-analysis-test was able to identi

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Kolašinac, Stefan M., Marko Mladenović, Ilinka Pećinar, et al. "Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties." Plants 14, no. 9 (2025): 1304. https://doi.org/10.3390/plants14091304.

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The aim of this research is to investigate the potential of Raman and FT-IR spectroscopy as well as mathematical linear and non-linear models as a tool for the discrimination of different seed varieties of paprika, tomato, and lettuce species. After visual inspection of spectra, pre-processing was applied in the following combinations: (1) smoothing + linear baseline correction + unit vector normalization; (2) smoothing + linear baseline correction + unit vector normalization + full multiplicative scatter correction; (3) smoothing + baseline correction + unit vector normalization + second-orde

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Al Nuwairan, Muneerah Al, Bashayr Almutairi, and Anwar Aldhafeeri. "Dynamical Behavior of Solitary Waves for the Space-Fractional Stochastic Regularized Long Wave Equation via Two Distinct Approaches." Mathematics 13, no. 13 (2025): 2193. https://doi.org/10.3390/math13132193.

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This study investigates the influence of multiplicative noise—modeled by a Wiener process—and spatial-fractional derivatives on the dynamics of the space-fractional stochastic Regularized Long Wave equation. By employing a complete discriminant polynomial system, we derive novel classes of fractional stochastic solutions that capture the complex interplay between stochasticity and nonlocality. Additionally, the variational principle, derived by He’s semi-inverse method, is utilized, yielding additional exact solutions that are bright solitons, bright-like solitons, kinky bright solitons, and p

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Nurhasanah, Nadya, Nurhastuti Nurhastuti, Mega Iswari, and Damri Damri. "Effectiveness of Mentessori Multiplication Board Learning Media to Improve the Ability to Multiplicate 1-10 for Cerebral Palsy Children." Edumaspul: Jurnal Pendidikan 8, no. 1 (2024): 1592–99. https://doi.org/10.33487/edumaspul.v8i1.7877.

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This research was motivated by problems that researchers found at SLB N 1 Lima Kaum. A Cerebral Palsy student who is still not optimal in multiplication 1-10. This research aims to improve the ability to multiply numbers 1-10 using the Mentessori Multiplication Board learning media. Researchers use quantitative research with an experimental approach in the form of Single Subject Research (SSR). With A-B-A design. Data was analyzed using graphic visual analysis. Techniques for collecting data include tests and data collection tools for test questions. The subjects of the research were Cerebral

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He, Huihui, and Weiying Lu. "High-Throughput Chemometric Quality Assessment of Extra Virgin Olive Oils Using a Microtiter Plate Reader." Sensors 19, no. 19 (2019): 4169. http://dx.doi.org/10.3390/s19194169.

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A commercially available microtiter plate reader was applied as a high-throughput counterpart of ultraviolet-visible (UV–Vis) spectrophotometer to identify the producing location of extra virgin olive oils (EVOOs). Multiplicative scatter correction and the first derivative was used to denoise the UV–Vis spectra and eliminate the effects of background drift. The spectra were analyzed using chemometrics methods including the principal component analysis (PCA) and the partial least squares-discriminant analysis (PLS-DA). The PLS-DA model on full spectra using 5 latent variables showed a classific

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Tafintseva, Valeria, Tiril Aurora Lintvedt, Johanne Heitmann Solheim, et al. "Preprocessing Strategies for Sparse Infrared Spectroscopy: A Case Study on Cartilage Diagnostics." Molecules 27, no. 3 (2022): 873. http://dx.doi.org/10.3390/molecules27030873.

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The aim of the study was to optimize preprocessing of sparse infrared spectral data. The sparse data were obtained by reducing broadband Fourier transform infrared attenuated total reflectance spectra of bovine and human cartilage, as well as of simulated spectral data, comprising several thousand spectral variables into datasets comprising only seven spectral variables. Different preprocessing approaches were compared, including simple baseline correction and normalization procedures, and model-based preprocessing, such as multiplicative signal correction (MSC). The optimal preprocessing was

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Hao, Yong, Pei Geng, Wenhui Wu, Qinhua Wen, and Min Rao. "Identification of Rice Varieties and Transgenic Characteristics Based on Near-Infrared Diffuse Reflectance Spectroscopy and Chemometrics." Molecules 24, no. 24 (2019): 4568. http://dx.doi.org/10.3390/molecules24244568.

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Background: In recent years, genetically modified technology has developed rapidly, and the potential impact of genetically modified foods on human health and the ecological environment has received increasing attention. The currently used methods for testing genetically modified foods are cumbersome, time-consuming, and expensive. This paper proposed a more efficient and convenient detection method. Methods: Near-infrared diffuse reflectance spectroscopy (NIRDRS) combined with multivariate calibration methods, including principal component analysis (PCA), partial least squares discriminant an

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Boadu, Vida Gyimah, Ernest Teye, Charles L. Y. Amuah, Francis Padi Lamptey, and Livingstone Kobina Sam-Amoah. "Portable NIR Spectroscopic Application for Coffee Integrity and Detection of Adulteration with Coffee Husk." Processes 11, no. 4 (2023): 1140. http://dx.doi.org/10.3390/pr11041140.

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Reliable and user-friendly discrimination of coffee bean integrity and quantification of adulteration in the coffee bean processing value chain would be vital for ensuring consumer trust in quality control and traceability management. In this research, a portable short-wave NIR spectroscopy coupled with chemometric data analysis was employed under different pre-treatments to develop a rapid detection technique. Different pre-processing treatments (multiplicative scatter correction; MSC, standard normal variant; SNV, first derivative; FD) together with multivariate techniques; support vector ma

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Kim, Da-Song, Moon-Hee Choi, and Hyun-Jae Shin. "Estimation of Starch Hydrolysis in Sweet Potato (Beni Haruka) Based on Storage Period Using Nondestructive Near-Infrared Spectrometry." Agriculture 11, no. 2 (2021): 135. http://dx.doi.org/10.3390/agriculture11020135.

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Sweet potatoes are a substantial source of nutrition and can be added to processed foods in the form of paste. The moisture and starch contents of these potatoes affect the physicochemical properties of sweet potato paste. In this study, the changes in the moisture, starch, and α-amylase content of sweet potatoes were measured for eight weeks after harvest. Using nondestructive near-infrared analyses and chemometric models, the moisture and starch contents were predicted. The partial least squares (PLS) method was used for prediction, while linear discriminant analysis (LDA) was used for discr

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Li, Yue, Zhong Ren, Chunyan Zhao, and Gaoqiang Liang. "Geographical Origin Traceability of Navel Oranges Based on Near-Infrared Spectroscopy Combined with Deep Learning." Foods 14, no. 3 (2025): 484. https://doi.org/10.3390/foods14030484.

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The quality and price of navel oranges vary depending on their geographical origin, thus providing a financial incentive for origin fraud. To prevent this phenomenon, it is necessary to explore a fast, non-destructive, and precise method for tracing the origin of navel oranges. In this study, a total of 490 Newhall navel oranges were selected from five major production regions in China, and the diffuse reflectance near-infrared spectrum in 4000–10,000 cm−1 were non-invasively collected. We examined seven preprocessing techniques for the spectra, including Savitzky–Golay (SG) smoothing, first d

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Desriyati, Welly, and Hanifatul Rahmi. "Analisis terhadap Kesulitan Belajar Mahasiswa Teknik Informatika pada Mata Kuliah Kalkulus." Logaritma : Jurnal Ilmu-ilmu Pendidikan dan Sains 9, no. 01 (2021): 69–84. http://dx.doi.org/10.24952/logaritma.v9i01.2804.

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This article was a qualitative research with using phenomenology approach. The researchers were the main research instruments in this study in order to analyze the type of informatics engineering studenet’s learning obstacles in calculus subject, its causative factors and the ways to overcome the students’ learning obstacles. Researcher as the lecturer used test, questionnaire, observation sheet and interview technique to collect the data. The subject of this study was 47 students of informatics engineering study programme, while the object of this study was the students’ learning obstacles. A

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Carlsson, Annika E., and Kjell L. R. Janné. "Near-Infrared Spectroscopy as an Alternative to Biological Testing for Quality Control of Hyaluronan: Comparison of Data Preprocessing Methods for Classification." Applied Spectroscopy 49, no. 7 (1995): 1037–40. http://dx.doi.org/10.1366/0003702953964787.

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An alternative method to biological testing on animals has been studied. The method is based on pattern recognition by combination of near-infrared spectroscopy and multivariate classification. The pharmaceutical product under study is based on a high-molecular-weight carbohydrate, Hyaluronan, used as a medical device for eye surgery. The effect of data preprocessing on classification performance of approved and rejected samples was evaluated by use of principal components models for each class. With the use of multiplicative scatter correction techniques, the class discrimination was enhanced

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Xia, Ziyi, Xiaoqing Che, Lei Ye, et al. "A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis." Molecules 28, no. 4 (2023): 1778. http://dx.doi.org/10.3390/molecules28041778.

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A synergetic strategy was proposed to address the critical issue in the brand characterization of Colla corii asini (Ejiao, CCA), a precious traditional Chinese medicine (TCM). In all brands of CCA, Dong’e Ejiao (DEEJ) is an intangible cultural heritage resource. Seventy-eight CCA samples (including forty DEEJ samples and thirty-eight samples from other different manufacturers) were detected by laser-induced breakdown spectroscopy (LIBS) and near-infrared spectroscopy (NIR). Partial least squares discriminant analysis (PLS-DA) models were built first considering individual techniques separatel

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Bolotnova, Evgeniya A., Ilya A. Silin, Aleksandra S. Demtirova, and Victoria I. Mataryko. "APPLICATION OF INTEGRAL INDICATORS TO ASSESS THE BANKRUPTCY POTENTIAL OF AGRICULTURAL ORGANIZATIONS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 4/14, no. 157 (2025): 228–37. https://doi.org/10.36871/ek.up.p.r.2025.04.14.024.

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Assessing the potential for bankruptcy is a key aspect of a comprehensive analysis of the financial condition of organizations, allowing for a comprehensive analysis of solvency, business activity, financial stability and profitability, facilitating a prompt response to potential threats and opportunities to adjust the strategic course of economic entities. The purpose of the study is to diagnose the potential for bankruptcy of large representatives of the agricultural segment in order to develop measures to improve their financial stability. This article presents a detailed analysis of one of

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Santos, Adaniel Sousa dos, Gustavo Alves Pereira, Wéverson Lima Fonseca, et al. "Photosynthetic Assimilation of the Guava (Psidium guajava) cv. Paluma under Different Pruning and Fruit Thinning Intensities." Agronomy 13, no. 6 (2023): 1610. http://dx.doi.org/10.3390/agronomy13061610.

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In guava plants, production pruning can be performed twice a year, and the return of growth is dependent on the physiological responses that are altered by the different cultivation environments and adopted management. From this perspective, this study aimed to characterize the photosynthetic dynamics of guava plants influenced by different pruning and fruit thinning intensities during two growing seasons in the region of Currais, Piauí, Brazil. The plants were distributed in a randomized block design with a factorial arrangement (3 × 3 × 2) consisting of three pruning intensities (short, medi

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Xu, Liang, Wen Sun, Cui Wu, Yucui Ma, and Zhimao Chao. "Discrimination of Trichosanthis Fructus from Different Geographical Origins Using Near Infrared Spectroscopy Coupled with Chemometric Techniques." Molecules 24, no. 8 (2019): 1550. http://dx.doi.org/10.3390/molecules24081550.

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Near infrared (NIR) spectroscopy with chemometric techniques was applied to discriminate the geographical origins of crude drugs (i.e., dried ripe fruits of Trichosanthes kirilowii) and prepared slices of Trichosanthis Fructus in this work. The crude drug samples (120 batches) from four growing regions (i.e., Shandong, Shanxi, Hebei, and Henan Provinces) were collected, dried, and used and the prepared slice samples (30 batches) were purchased from different drug stores. The raw NIR spectra were acquired and preprocessed with multiplicative scatter correction (MSC). Principal component analysi

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Zhang, Hao, Haifeng Sun, Ling Wang, Shun Wang, Wei Zhang, and Jiandong Hu. "Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin." Journal of Spectroscopy 2018 (December 20, 2018): 1–9. http://dx.doi.org/10.1155/2018/7652592.

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The aim of this work is to identify the adulteration of edible gelatin using near-infrared (NIR) spectroscopy combined with supervised pattern recognition methods. The spectral data obtained from a total of 144 samples consisting of six kinds of adulterated gelatin gels with different mixture ratios were processed with multiplicative scatter correction (MSC), Savitzky–Golay (SG) smoothing, and min-max normalization. Principal component analysis (PCA) was first carried out for spectral analysis, while the six gelatin categories could not be clearly distinguished. Further, linear discriminant an

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Al-Ashkar, Ibrahim, Mohammed Sallam, Abdullah Ibrahim, et al. "Identification of Wheat Ideotype under Multiple Abiotic Stresses and Complex Environmental Interplays by Multivariate Analysis Techniques." Plants 12, no. 20 (2023): 3540. http://dx.doi.org/10.3390/plants12203540.

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Multiple abiotic stresses negatively impact wheat production all over the world. We need to increase productivity by 60% to provide food security to the world population of 9.6 billion by 2050; it is surely time to develop stress-tolerant genotypes with a thorough comprehension of the genetic basis and the plant’s capacity to tolerate these stresses and complex environmental reactions. To approach these goals, we used multivariate analysis techniques, the additive main effects and multiplicative interaction (AMMI) model for prediction, linear discriminant analysis (LDA) to enhance the reliabil

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Liberda, Danuta, Ewa Pięta, Katarzyna Pogoda, et al. "The Impact of Preprocessing Methods for a Successful Prostate Cell Lines Discrimination Using Partial Least Squares Regression and Discriminant Analysis Based on Fourier Transform Infrared Imaging." Cells 10, no. 4 (2021): 953. http://dx.doi.org/10.3390/cells10040953.

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Fourier transform infrared spectroscopy (FT-IR) is widely used in the analysis of the chemical composition of biological materials and has the potential to reveal new aspects of the molecular basis of diseases, including different types of cancer. The potential of FT-IR in cancer research lies in its capability of monitoring the biochemical status of cells, which undergo malignant transformation and further examination of spectral features that differentiate normal and cancerous ones using proper mathematical approaches. Such examination can be performed with the use of chemometric tools, such

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Wójcicki, Krzysztof. "Applying NIR spectroscopy to evaluate quality of whey protein supplements available on the Polish market." Zywnosc Nauka Technologia Jakosc/Food Science Technology Quality 115, no. 2 (2018): 59–70. http://dx.doi.org/10.15193/zntj/2018/115/233.

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The objective of the research study was to apply near infrared (NIR) spectroscopy to evaluate the quality of protein supplements available in the Polish shops and gyms. The evaluation was performed on the basis of the determination of the protein quantity contained in the individual samples by a Kjeldahl method and then the evaluation results were correlated with the measured NIR spectra using an appropriate chemometric method. The research material consisted of fifteen protein supplement samples for athletes, which included the following types: WPI (protein isolate), WPC (protein concentrate)

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Zhang, Jun, Limin Dai, and Fang Cheng. "Classification of Frozen Corn Seeds Using Hyperspectral VIS/NIR Reflectance Imaging." Molecules 24, no. 1 (2019): 149. http://dx.doi.org/10.3390/molecules24010149.

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A VIS/NIR hyperspectral imaging system was used to classify three different degrees of freeze-damage in corn seeds. Using image processing methods, the hyperspectral image of the corn seed embryo was obtained first. To find a relatively better method for later imaging visualization, four different pretreatment methods (no pretreatment, multiplicative scatter correction (MSC), standard normal variation (SNV) and 5 points and 3 times smoothing (5-3 smoothing)), four wavelength selection algorithms (successive projection algorithm (SPA), principal component analysis (PCA), X-loading and full-band

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Arndt, Maike, Alissa Drees, Christian Ahlers, and Markus Fischer. "Determination of the Geographical Origin of Walnuts (Juglans regia L.) Using Near-Infrared Spectroscopy and Chemometrics." Foods 9, no. 12 (2020): 1860. http://dx.doi.org/10.3390/foods9121860.

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The prices of walnuts vary according to their geographical origin and, therefore, offer a financial incentive for adulteration. A reliable analysis method is required to quickly detect possible misdeclarations and thus prevent food fraud. In this study, a method to distinguish between seven geographical origins of walnuts using Fourier transform near-infrared (FT-NIR) spectroscopy combined with chemometrics as a fast, versatile, and easy to handle analytical tool was developed. NIR spectra of 212 ground and afterwards freeze-dried walnut samples, harvested in three consecutive years (2017–2019

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Zhang, Lingzhi, Haomin Dai, Jialin Zhang, et al. "A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms." Foods 12, no. 3 (2023): 499. http://dx.doi.org/10.3390/foods12030499.

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Identifying the geographical origins of white tea is of significance because the quality and price of white tea from different production areas vary largely from different growing environment and climatic conditions. In this study, we used near-infrared spectroscopy (NIRS) with white tea (n = 579) to produce models to discriminate these origins under different conditions. Continuous wavelet transform (CWT), min-max normalization (Minmax), multiplicative scattering correction (MSC) and standard normal variables (SNV) were used to preprocess the original spectra (OS). The approaches of principal

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Xu, Bo, Cui Wu, Zhuojun Li, Pingping Song, and Zhimao Chao. "1H NMR Combined with Multivariate Statistics for Discrimination of Female and Male Flower Buds of Populus tomentosa." Molecules 26, no. 21 (2021): 6458. http://dx.doi.org/10.3390/molecules26216458.

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1H Nuclear Magnetic Resonance (1H NMR) combined with multivariate statistics was adopted to discriminate female and male flower buds of Populus tomentosa in the study. Samples of 11 female and 16 male flower buds of P. tomentosa were collected in Beijing, China. 1H NMR spectra were acquired on a 400 MHz spectrometer. In total, 30 chemical compounds were identified with standards and literature according to chemical shifts, peak areas, and multiplicity. Principal component analysis (PCA), hierarchical clustering analysis (HCA), and supervised orthogonal partial least squares-discriminant analys

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Bao, Yidan, Chunxiao Mi, Na Wu, Fei Liu, and Yong He. "Rapid Classification of Wheat Grain Varieties Using Hyperspectral Imaging and Chemometrics." Applied Sciences 9, no. 19 (2019): 4119. http://dx.doi.org/10.3390/app9194119.

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The classification of wheat grain varieties is of great value because its high purity is the yield and quality guarantee. In this study, hyperspectral imaging combined with the chemometric methods was applied to explore and implement the varieties classification of wheat seeds. The hyperspectral images of all the samples covering 874–1734 nm bands were collected. Exploratory analysis was first carried out while using principal component analysis (PCA) and linear discrimination analysis (LDA). Spectral preprocessing methods including standard normal variate (SNV), multiplicative scatter correct

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Liu, Jie, Xiao Yu Li, Wei Wang, and Jun Zhang. "Application of Support Vector Machine in Identifying inside Moldy Chestnut Using Near Infrared Spectroscopy." Applied Mechanics and Materials 615 (August 2014): 169–72. http://dx.doi.org/10.4028/www.scientific.net/amm.615.169.

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NIR spectroscopy has been applied in detecting inside quality of chestnut successfully. In this work, Support Vector Machine Discriminant Analysis was utilized to identify the qualified chestnuts, the serious moldy chestnuts and the slight moldy chestnuts using their Near infrared spectra region from 833 nm to 2500 nm. 109 chestnut samples were involved and four different preprocessing methods were compared. The results showed that for all the models, the average correct rates of training set and validation set were higher than 90%. The performance of model based on raw spectra was not as good

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Cucuzza, Paola, Silvia Serranti, Giuseppe Bonifazi, and Giuseppe Capobianco. "Effective Recycling Solutions for the Production of High-Quality PET Flakes Based on Hyperspectral Imaging and Variable Selection." Journal of Imaging 7, no. 9 (2021): 181. http://dx.doi.org/10.3390/jimaging7090181.

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In this study, effective solutions for polyethylene terephthalate (PET) recycling based on hyperspectral imaging (HSI) coupled with variable selection method, were developed and optimized. Hyperspectral images of post-consumer plastic flakes, composed by PET and small quantities of other polymers, considered as contaminants, were acquired in the short-wave infrared range (SWIR: 1000–2500 nm). Different combinations of preprocessing sets coupled with a variable selection method, called competitive adaptive reweighted sampling (CARS), were applied to reduce the number of spectral bands useful to

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Akowuah, Thomas O. S., Ernest Teye, Julius Hagan, and Kwasi Nyandey. "Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint." Journal of Spectroscopy 2020 (October 14, 2020): 1–11. http://dx.doi.org/10.1155/2020/8838542.

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The potential of nondestructive prediction of egg freshness based on near-infrared (NIR) spectra fingerprints would be beneficial to quality control officers and consumers alike. In this study, handheld NIR spectrometer in the range of 740 nm to 1070 nm and chemometrics were used to simultaneously determine egg freshness based on marked date of lay for eggs stored under cold and ambient conditions. The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA). Linear discriminant analysis (LDA) was used to build identifi

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Alves, Rafael Mateus, Francisco Guilhien Gomes-Junior, Abimael dos Santos Carmo-Filho, et al. "Evaluation of the Effect of the Vigor of Soybean Seeds Treated with Micronutrients Using X-ray Fluorescence Spectroscopy and Hyperspectral Imaging." Agronomy 13, no. 7 (2023): 1945. http://dx.doi.org/10.3390/agronomy13071945.

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Seed treatment with micronutrients is a crucial strategy for providing early seedling supply during development, and is commonly employed in soybean cultivation. However, responses to micronutrient treatment may vary based on seed vigor levels. Therefore, this study aimed to assess the potential of hyperspectral imaging combined with preprocessing and machine learning, compared to X-ray fluorescence spectroscopy, in evaluating the dynamics of micronutrient uptake during the germination of soybean seeds with varying levels of vigor. Two seed lots with differing levels of vigor were utilized for

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Lenters, Virissa, Roel Vermeulen, and Lützen Portengen. "Performance of variable selection methods for assessing the health effects of correlated exposures in case–control studies." Occupational and Environmental Medicine 75, no. 7 (2017): 522–29. http://dx.doi.org/10.1136/oemed-2016-104231.

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ObjectivesThere is growing recognition that simultaneously assessing multiple exposures may reduce false positive discoveries and improve epidemiological effect estimates. We evaluated the performance of statistical methods for identifying exposure–outcome associations across various data structures typical of environmental and occupational epidemiology analyses.MethodsWe simulated a case–control study, generating 100 data sets for each of 270 different simulation scenarios; varying the number of exposure variables, the correlation between exposures, sample size, the number of effective exposu

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Zhu, Yanqiu, Shuxiang Fan, Min Zuo, Baohua Zhang, Qingzhen Zhu, and Jianlei Kong. "Discrimination of New and Aged Seeds Based on On-Line Near-Infrared Spectroscopy Technology Combined with Machine Learning." Foods 13, no. 10 (2024): 1570. http://dx.doi.org/10.3390/foods13101570.

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The harvest year of maize seeds has a significant impact on seed vitality and maize yield. Therefore, it is vital to identify new seeds. In this study, an on-line near-infrared (NIR) spectra collection device (899–1715 nm) was designed and employed for distinguishing maize seeds harvested in different years. Compared with least squares support vector machine (LS-SVM), k-nearest neighbor (KNN), and extreme learning machine (ELM), the partial least squares discriminant analysis (PLS-DA) model has the optimal recognition performance for maize seed harvest years. Six different preprocessing method

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Zhao, Yanli, Ji Zhang, Hang Jin, Jinyu Zhang, Tao Shen, and Yuanzhong Wang. "Discrimination of Gentiana rigescens from Different Origins by Fourier Transform Infrared Spectroscopy Combined with Chemometric Methods." Journal of AOAC INTERNATIONAL 98, no. 1 (2015): 22–26. http://dx.doi.org/10.5740/jaoacint.13-395.

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Abstract Gentiana rigescens (“DianLongdan” in Chinese) medicinal plant is usually used for its activities of liver protection, cholagogic, anti-inflammatory, anti-fungal, anti-hyperthyroidism, anti-hypertension, hyperglycemia, and relieving spasm and pain. In this study, methods for thediscrimination of different geographical origins of G. rigescens by FTIR spectroscopy in hyphenation with chemometric methods were developed. Different pretreatments including standard normalvariate, multiplicative scatter correction, first orsecond derivative, Savitzky-Golay filter, and Norrisderivative filter

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PUTTHANG, R., P. SIRISOMBOON, and C. DACHOUPAKAN SIRISOMBOON. "Shortwave Near-Infrared Spectroscopy for Rapid Detection of Aflatoxin B1 Contamination in Polished Rice." Journal of Food Protection 82, no. 5 (2019): 796–803. http://dx.doi.org/10.4315/0362-028x.jfp-18-318.

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ABSTRACT The objective of this research was to apply near-infrared spectroscopy, with a short-wavelength range of 950 to 1,650 nm, for the rapid detection of aflatoxin B1 (AFB1) contamination in polished rice samples. Spectra were obtained by reflection mode for 105 rice samples: 90 samples naturally contaminated with AFB1 and 15 samples artificially contaminated with AFB1. Quantitative calibration models to detect AFB1 were developed using the original and pretreated absorbance spectra in conjunction with partial least squares regression with prediction testing and full cross-validation. The

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