Relevant bibliographies by topics / PLSDA

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'PLSDA'

Author: Grafiati
Published: 10 September 2022
Last updated: 9 March 2023

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Journal articles on the topic "PLSDA"

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Xu, Lu, De-Hua Deng, Chen-Bo Cai, and Hong-Wei Yang. "Automatic Discrimination of the Geographical Origins of Milks by Excitation-Emission Fluorescence Spectrometry and Chemometrics." Journal of Automated Methods and Management in Chemistry 2011 (2011): 1–6. http://dx.doi.org/10.1155/2011/323196.

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This paper presents the automatic discrimination of geographical origins of milks from Western Yunnan Plateau areas and eastern China by excitation-emission fluorescence spectrometry and chemometrics. Genuine plateau milks (n=60) and milks from eastern China (n=89) are scanned in the regions of 180–300 nm for excitation and 200–800 nm for emission. Different options of data analysis are investigated and compared in terms of their performance in discriminating milks of different geographical origins: (1) two-way partial least squares discriminant analysis (PLSDA) based on excitation and emission spectra, respectively; (2) two-way PLSDA based on fusion of excitation and emission spectra; (3) three-way PLSDA based on excitation-emission matrix spectra. The two-way PLSDA methods with excitation spectra, emission spectra, and fusion of excitation and emission spectra correctly classify 91.3%, 88.6%, and 95.3% of the milk samples, respectively; while the total accuracy of three-way PLSDA is 96.0%. The results demonstrate the two-way data combining excitation and emission spectra are sufficient to characterize and identify the plateau milks. Considering both model accuracy and the analytical time required, two-way PLS-DA with fusion of excitation and emission spectra is recommended as a reliable and quick method to discriminate plateau milks from ordinary milks.
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Westerhuis, Johan A., Huub C. J. Hoefsloot, Suzanne Smit, Daniel J. Vis, Age K. Smilde, Ewoud J. J. van Velzen, John P. M. van Duijnhoven, and Ferdi A. van Dorsten. "Assessment of PLSDA cross validation." Metabolomics 4, no. 1 (January 24, 2008): 81–89. http://dx.doi.org/10.1007/s11306-007-0099-6.

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Yan, Si-Min, Zi-Feng Hu, Cheng-Xin Wu, Lu Jin, Gong Chen, Xian-Yu Zeng, and Jia-Qi Zhu. "Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea)." Journal of Food Quality 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/3573197.

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This paper aims to provide a stable instrumental method for provenance discrimination of Anji-White tea by its distinctive taste. 180 authentic and 60 counterfeit white tea samples were collected for specific geographical origins detection; all of them were measured by electronic tongue coupled with 7 independent sensors. Therefore, chemometrics methods, principal component analysis (PCA), and partial least squares discriminant analysis (PLSDA) were performed in classification. The PCA distribution shows that, in provenance analysis, PCA is a simple and reliable tool for small sample sets, but for sets with large objects, PCA seems powerless in classification. Therefore, PLSDA was applied to develop a classification model. The prediction sensitivity and specificity of PLSDA, respectively, reached 0.917 and 0.950. This study demonstrates the potential of combining electronic tongue system and chemometrics as an effective tool for specific geographical origins detection in Anji-White tea.
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Xu, Lu, Qiong Shi, Si-Min Yan, Hai-Yan Fu, Shunping Xie, and Daowang Lu. "Chemometric Analysis of Elemental Fingerprints for GE Authentication of Multiple Geographical Origins." Journal of Analytical Methods in Chemistry 2019 (July 11, 2019): 1–7. http://dx.doi.org/10.1155/2019/2796502.

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The feasibility of combining elemental fingerprints and chemical pattern recognition methods for authentication of the geographical origins of a Chinese herb, Gastrodia elata BI. (GE), was studied in this paper. A total of 210 GE samples were collected from 7 different producing areas. The levels of 15 mineral elements in GE, including Zn, Cd, Co, Cr, Cu, Ca, Mg, Mn, Mo, Ni, Pb, Sr, Fe, Na, and K, were determined using inductively coupled plasma mass spectrometry (ICP-MS). Using the autoscaled data of elemental fingerprints and partial least-squares discriminant analysis (PLSDA), two chemometrics strategies for multiclass classifications, One-Versus-Rest (OVR) and One-Versus-One (OVO), were studied and compared in discrimination of GE geographical origins. As a result, OVR-PLSDA and OVO-PLSDA could achieve the classification accuracy of 0.672 and 0.925, respectively. The results indicate that mineral elemental fingerprints coupled with chemometrics can provide a useful alternative method for simultaneous discrimination of multiple GE geographical origins.
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Fu, Hai-Yan, Shuang-Yan Huan, Lu Xu, Li-Juan Tang, Jian-Hui Jiang, Hai-Long Wu, Guo-Li Shen, and Ru-Qin Yu. "Moving Window Partial Least-Squares Discriminant Analysis for Identification of Different Kinds of Bezoar Samples by near Infrared Spectroscopy and Comparison of Different Pattern Recognition Methods." Journal of Near Infrared Spectroscopy 15, no. 5 (October 2007): 291–97. http://dx.doi.org/10.1255/jnirs.743.

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Moving window partial least-squares (MWPLS) regression was coupled with near infrared (NIR) spectra as an interval selection method to improve the performance of partial least squares discriminant analysis (PLSDA) models. This method was applied to the identification of artificial bezoar, natural bezoar and artificial bezoar in natural bezoar and compared with some traditional pattern recognition methods, such as principal component analysis (PCA), linear discriminant analysis (LDA) and PLSDA. The introduction of MWPLS enhanced the performance of PLSDA model. The results obtained showed that moving window partial least-squares discriminant analysis (MWPLSDA) can extract wavelength intervals with useful information and build simple yet effective classification models that can significantly improve the classification accuracy. Then MWPLSDA was used to identify natural bezoar by geographical origin; a promising result was achieved. The work showed that MWPLSDA could be a promising method for quality analysis and discrimination of chinese medical herbs according to geographical origin.
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Fu, Haiyan, Yao Fan, Xu Zhang, Hanyue Lan, Tianming Yang, Mei Shao, and Sihan Li. "Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spectral Fingerprints with Aid of Pattern Recognition Methods." Journal of Analytical Methods in Chemistry 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/727589.

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As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information ofHibiscus mutabilisL. andBerberidis radix, two common kinds of herbal medicines. By comparing component analysis (PCA), linear discriminant analysis (LDA), and particularly partial least squares discriminant analysis (PLSDA) with different fingerprint preprocessing of NIR spectra variables, PLSDA model showed perfect functions on the analysis of samples as well as chromatograms. Most important, this pattern recognition method by HPLC and NIR can be used to identify different collection parts, collection time, and different origins or various species belonging to the same genera of herbal medicines which proved to be a promising approach for the identification of complex information of herbal medicines.
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Ma, Yue, Yichao Xu, Hui Yan, and Guozheng Zhang. "On-line identification of silkworm pupae gender by short-wavelength near infrared spectroscopy and pattern recognition technology." Journal of Near Infrared Spectroscopy 29, no. 4 (April 15, 2021): 207–15. http://dx.doi.org/10.1177/0967033521999745.

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The gender identification of silkworm pupae is a critical step in the sericulture industry's breeding process. In this study, a low cost, short-wavelength (815-1075 nm) near infrared (NIR) spectrometer combined with multivariate spectra evaluation methods was used to establish calibration models for the on-line identification of female and male pupae of eight silkworm varieties. The diffuse reflection short-wavelength spectra were recorded, and then principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares discriminant analysis (PLSDA) were tested for calibration model development. The PCA and LDA results showed, that spectral differences between the female and male silkworm pupae existed, however, the two evaluation techniques could not separate the female and male silkworm pupae with the required accuracy. The PLSDA calibration models, on the other hand, could separate the pupae according to their gender with the necessary prediction accuracy of >98%. Thus, it has been proved, that a low-cost, short-wavelength range NIR spectrometer in combination with a PLSDA calibration routine can be successfully applied for the reliable on-line identification of female and male silkworm pupae.
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Xu, Lu, Si-Min Yan, Chen-Bo Cai, and Xiao-Ping Yu. "Nondestructive Discrimination of Lead (Pb) in Preserved Eggs (Pidan) by Near-Infrared Spectroscopy and Chemometrics." Journal of Spectroscopy 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/253143.

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A major safety concern with pidan (preserved eggs) has been the usage of lead (II) oxide (PbO) during its processing. This paper develops a rapid and nondestructive method for discrimination of lead (Pb) in preserved eggs with different processing methods by near-infrared (NIR) spectroscopy and chemometrics. Ten batches of 331 unleaded eggs and six batches of 147 eggs processed with usage of PbO were collected and analyzed by NIR spectroscopy. Inductively coupled plasma mass spectrometry (ICP-MS) analysis was used as a reference method for Pb identification. The Pb contents of leaded eggs ranged from 1.2 to 12.8 ppm. Linear partial least squares discriminant analysis (PLSDA) and nonlinear least squares support vector machine (LS-SVM) were used to classify samples based on NIR spectra. Different preprocessing methods were studied to improve the classification performance. With second-order derivative spectra, PLSDA and LS-SVM obtained accurate and reliable classification of leaded and unleaded preserved eggs. The sensitivity and specificity of PLSDA were 0.975 and 1.000, respectively. Because the strictest safety standard of Pb content in traditional pidan is 2 ppm, the proposed method shows the feasibility for rapid and nondestructive discrimination of Pb in Chinese preserved eggs.
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Valori, Roberto, Corrado Costa, Simone Figorilli, Luciano Ortenzi, Rossella Manganiello, Roberto Ciccoritti, Francesca Cecchini, et al. "Advanced Forecasting Modeling to Early Predict Powdery Mildew First Appearance in Different Vines Cultivars." Sustainability 15, no. 3 (February 3, 2023): 2837. http://dx.doi.org/10.3390/su15032837.

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Eurasian grapevine is a widely cultivated horticultural plant worldwide, but it is more susceptible to powdery mildew. In recent years, the high cost and negative environmental impact of calendar-applied sulfur fungicides are leading research to find alternative remedies. In this study, the early prediction (three days) of the first appearance of powdery mildew infection, on two different Italian grapevine cultivars, was detected through a partial least squares discriminant analysis (PLSDA). The treatment indications of the “PLSDA” models (treatments according to the predictive model) were compared with those of the “Standard” (treatments according to the established agricultural practice of the area). This allowed the early containment of the disease, preventing its subsequent propagation. The model was built based on weather-climate data and phytopathological information collected on the “Untreated” control cultivar to monitor the natural spread of the disease (three years of training and two of tests). For both the cultivars and the two test years (2021 and 2022), the “PLSDA” models early predicted the first appearance of fungal disease, reducing the treatment number (about four) with respect to “Standard”. In addition, analyses of key fruit quality parameters were conducted to evaluate the effectiveness of treatment reduction.
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Fu, Haiyan, Qiong Shi, Liuna Wei, Lu Xu, Xiaoming Guo, Ou Hu, Wei Lan, Shunping Xie, and Tianming Yang. "Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics." Journal of Spectroscopy 2019 (April 30, 2019): 1–9. http://dx.doi.org/10.1155/2019/2467185.

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Fourier transform near-infrared (NIR) spectroscopy and mid-infrared (MIR) spectroscopy play important roles in all fingerprint techniques because of their unique characteristics such as reliability, versatility, precision, and ease of measurement. In this paper, a supervised pattern recognition method based on the PLSDA algorithm by NIR and the NIR-MIR fusion spectra has been established to identify geoherbalism of Angelica dahurica from different regions and authenticity of Corydalis yanhusuo W. T. Wang. Comparing principle component analysis (PCA) cannot successfully identify geographical origins of Angelica dahurica. Linear discriminant analysis (LDA) also hardly distinguishes those origins. Furthermore, the PLSDA model based on the data fusion of NIR and IR was more accurate and efficient. But, the identification of authenticity of Corydalis yanhusuo W. T. Wang was still inaccurate in the PLSDA model. Consequently, data fusion of NIR-MIR original spectra combined with moving window partial least-squares discriminant analysis was firstly used and showed perfect properties on authenticity and adulteration discrimination of Corydalis yanhusuo W. T. Wang. It indicated that data fusion of NIR-MIR spectra combined with MWPLSDA could be considered as the promising tool for rapid discrimination of the geoherbalism and authenticity of more Chinese herbs in the future.
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Dissertations / Theses on the topic "PLSDA"

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Le, Thao Nhi. "Le frelon asiatique (Vespa velutina nigrithorax) : Stratégies d’études sur l’identification de nouvelles molécules actives pour la dermacosmétique." Thesis, Orléans, 2020. http://www.theses.fr/2020ORLE3143.

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La recherche de nouveaux composés pour prévenir ou atténuer le vieillissement de la peau est une priorité des recherches actuelles dans les cosmétiques. Dans ce contexte, le venin de frelon asiatique (Vespa velutina nigrithorax) a été étudié comme une source particulière de molécules potentiellement bioactives d’intérêt dermacosmétique. La première étude a tout d’abord porté sur la mise en œuvre d’un protocole fiable d’extraction et récupération du venin. Puis, la fraction peptidique et petites molécules a été sélectionnée afin d’évaluer, en comparaison avec le venin brut, la présence de molécules actives vis-à-vis d’une activité antioxydante, anti-microbienne (C. acnes) et inhibitrice enzymatique (tyrosinase, élastase, collagénase) in-tubo et in-cellulo. Ces études ont conduit à identifier par UHPLC-ESI-QTOF-HRMS/MS, dans le venin brut, une molécule responsable de l’activité anti-oxydante sur kératinocytes HaCaT. Dans une seconde étude, une approche peptidomique basée sur une méthode UHPLC-QTOF-HRMS et MS/MS suivie par un traitement statistique (PCA, PLS-DA) a été appliquée sur l’étude différentielle de profil peptidique du venin, en fonction de la période de collecte, des castes et du comportement. Ces derniers ont pour but d’évaluer l’influence de différents facteurs sur le patrimoine moléculaire de ces venins. Parallèlement, en troisième étude, une approche de criblage d’interaction Ligand/enzyme par spectrométrie de masse sur les enzymes élastase et tyrosinase immobilisées a été développée. Cette méthode a pour objectif de mettre en évidence la présence d’inhibiteurs ou de substrats dans des fractions plus ou moins complexes. On a montré que deux peptides présents dans le venin de frelon étaient capables d’interagir avec l’enzyme élastase en tant que substrat. La séquence peptidique de ces peptides a été partiellement obtenue par séquençage de novo
The search for new compounds to prevent or attenuate skin aging is a priority in current research in cosmetics. In this context, Asian Hornet venom (Vespa velutina nigrithorax) has been studied as a particular source of potentially bioactive molecules for dermacosmetic interest.The first study focused on the implementation of a reliable venom extraction and sampling protocol. Then, the peptide - small molecules fraction was selected to evaluate, in comparison with crude venom, the presence of active molecules with respect to antioxidant, anti-microbial (C. acnes) and enzyme inhibition (tyrosinase, elastase, collagenase) activity in-tubo and in-cellulo. These studies led to the identification in crude venom, by UHPLC-ESI-QTOF-HRMS/MS, of one molecule responsible for antioxidant activity on HaCaT keratinocytes.In a second study, a peptidomic approach based on UHPLC-ESI-QTOF-HRMS/MS followed by statistical processing (PCA, PLS-DA) was applied to the differential study of venom, according to the collection period, castes and behavior. The latter aims at evaluating the influence of these different factors on the venom molecular heritage. At the same time, in a third study, a ligand/enzyme interaction screening approach by mass spectrometry on solid-supported elastase enzymes was developed. The aim of this method is to detect the presence of inhibitors or substrates in more or less complex fractions. Two hornet venom peptides presenting in the hornet venom were identified to be capable of interacting with the enzyme elastase. Their peptide sequences were then partially obtained by de novo sequencing
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Dunja, Jakovljević. "Biološko dejstvo vodenog ekstrakta ploda štavelja (Rumex crispus L., Polygonaceae)." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2019. https://www.cris.uns.ac.rs/record.jsf?recordId=110304&source=NDLTD&language=en.

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Štavelj (Rumex crispus, Polygonaceae) je višegodišnja zeljasta biljka, koja predstavlja bogat izvor fenolnih komponenti. Iako se smatra invazivnim korovom, mlado lišće štavelja je jestivo i često se koristi kao salata. Dalje, upotreba plodova štavelja opisana je u srpskoj i turskoj narodnoj medicini u lečenju gastrointestinalnih tegoba. Cilj ovog rada bio je procena in vitro i in vivo antioksidantne/prooksidantne i citotoksične aktivnosti, i određivanje eventualnog in vitro antiinflamatornog efekta vodenog ekstrakta ploda Rumex crispus. Ukupan sadržaj flavonoida određen je spektrofotometrijskom metodom. Kvalifikacija i kvantifikacija flavonoida potvrđena je visokoefikasnom tečnom hromatografijom (HPLC). Antioksidantna aktivnost vodenog ekstrakta ploda štavelja procenjena je na osnovu in vitro testova: Ferric-reducing antioxidant power (FRAP), sposobnosti ekstrakta da neutrališe slobodne radikale NO•, OH• i DPPH• i uticaja na lipidnu peroksidaciju u lipozomima. Citotoksičnost ispitivanog ekstrakta je određena in vitro na tumorskim ćelijskim linijama: humani karcinom cerviksa (HeLa), adenokarcinom (HT-29) i adenokarcinom dojke (MCF7). Takođe, moguća in vivo hepatoprotektivna i antioksidantna svojstva ekstrakta određena su kod oksidativnog stresa izazvanog CCl4 kod eksperimentalnih životinja. Pored toga, proverena je hipoteza u kojoj testiran ekstrakt pokazuje in vivo antiproliferativnu aktivnost kod Ehrlich-ovih (EAC) i Hepatoma AS30D ćelija, merenjem zapremine ascitesa, procenta vijabilnih ćelija i nivoa nekoliko antioksidantnih enzima. Optimizovan in vitro test za određivanje potencijala inhibicije ciklooksigenaze-1 (COX-1) i 12-lipooksigenaze (12-LOX) preduzet je u svrhu procene antiinflamatornog efekta vodenog ekstrakta ploda R. crispus. HPLC analiza otkrila je da je mikvelianin najdominantniji flavonoidni konstituent ekstrakta. Testirani ekstrakt pokazao je potencijalnu antioksidantnu aktivnost rezultujući velikom moći u neutralizaciji slobodnih radikala, i sposobnošću da smanji lipidnu peroksidaciju u lipozomima. Rezultati su ukazali na tkivno-selektivnu citotoksičnost ekstrakta ploda R. crispus in vitro. Najizraženija antitumorska aktivnost primećena je prema HeLa i MCF7 ćelijskim linijama. Podaci sugerišu da bi se ispitivani ekstrakt mogao smatrati potencijalnim in vivo hepatoprotektivnim i antioksidantnim agensom, sprečavajući oksidativna oštećenja jetre. S druge strane, pomenuti ekstrakt može pokazati in vivo prooksidantna svojstva, uzrokujući oksidativni stres u maligno transformisanim EAC i AS30D ćelijama i smanjujući zapreminu ascitesa i udeo vijabilnih ćelija, u poređenju sa kontrolnom grupom. Promene u aktivnosti antioksidantnih enzima su verovatno posledica indukovanog oksidativnog stresa u EAC i AS30D ćelijama, naročito kod pretretiranih životinja. Vodeni ekstrakt ploda štavelja pokazao je COX-1, kao i 12-LOX inhibitornu aktivnost, navodeći da bi ispitivani ekstrakt mogao biti antiinflamatorni agens. Vodeni ekstrakt ploda R. crispus ima potencijalnu antioksidantnu, citotoksičnu i antiinflamatornu aktivnost. Ispoljavanje prooksidantnih svojstava predstavlja mogući mehanizam antiproliferativnog efekta ekstrakta.
Curly dock (Rumex crispus, Polygonaceae) is a wild perennial herbaceous plant, which products are described as a rich source of phenolic compounds. Apart from being considered a seriously invasive weed, young leaves of curly dock are edible and often used as salad. Furthermore, the use of its fruits has been described in Serbian and Turkish traditional medicine against stomach complaints. The objectives of this study were to evaluate in vitro and in vivo antioxidant/prooxidant and cytotoxic activities, and to determine an eventual in vitro anti-inflammatory effect of the aqueous extract of Rumex crispus fruits. Total flavonoid content was determined by spectrophotometric method. Qualification and quantification of flavonoids were confirmed using High performance liquid chromatography (HPLC). The aqueous extract of curly dock fruits was evaluated for its antioxidant activity by in vitro assays for Ferric-reducing antioxidant power (FRAP), NO•, OH• and DPPH•-free radical scavenging activities and the influence on lipid peroxidation in liposomes. The cytotoxicity of tested extract was examined in vitro in human cervix carcinoma (HeLa), colon adenocarcinoma (HT-29) and breast adenocarcinoma (MCF7). Also, the potential in vivo hepatoprotective and antioxidant properties of investigated extract were determined on CCl4-induced oxidative stress in experimental animals. Furthermore, the hypothesis that the examined extract might show in vivo antiproliferative activity in Ehrlich carcinoma (EAC) and Hepatoma AS30D cells was tested by measuring volume of ascites, percentage of viable cells and level of several antioxidant enzymes. The optimized in vitro test for determination of cyclooxygenase-1 (COX-1) and 12-lipoxygenase (12-LOX) inhibition potency was undertaken in order to estimate an anti-inflammatory effect of aqueous extract of R. crispus fruits. HPLC analysis revealed miquelianin as the most abundant flavonoid constituent of the extract. The tested extract might have an antioxidant activity resulting in scavenging of free radicals and ability to decrease lipid peroxidation in liposomes. The results could indicate tissue-selective cytotoxicity of R. crispus fruit extract in vitro. The most prominent antitumor activity was observed towards HeLa and MCF7 cell lines. The data suggested that investigated extract may be considered as potential in vivo hepatoprotective and antioxidant agent due to prevention of the liver injuries induced by oxidative damage. On the other hand, mentioned extract could exhibit in vivo prooxidant property, causing the oxidative stress in malignant transformed EAC and AS30D cells and reducing volume of ascites and percentage of viable cells, in comparison with control group. Changes in activities of antioxidant enzymes might be the results of induced oxidative stress in EAC and AS30D cells, especially in the pretreated animals. The aqueous extract of curly dock fruits showed COX-1, as well as 12-LOX inhibitory activity, suggesting that tested extract might be an anti-inflammatory agent. It could be concluded that aqueous fruit extract of R. crispus might have antioxidant, cytotoxic and anti-inflammatory activities. The prooxidant properties of examined extract could be the mechanism of potential antiproliferative effect of extract.
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Vitale, Raffaele. "Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90442.

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The present Ph.D. thesis, primarily conceived to support and reinforce the relation between academic and industrial worlds, was developed in collaboration with Shell Global Solutions (Amsterdam, The Netherlands) in the endeavour of applying and possibly extending well-established latent variable-based approaches (i.e. Principal Component Analysis - PCA - Partial Least Squares regression - PLS - or Partial Least Squares Discriminant Analysis - PLSDA) for complex problem solving not only in the fields of manufacturing troubleshooting and optimisation, but also in the wider environment of multivariate data analysis. To this end, novel efficient algorithmic solutions are proposed throughout all chapters to address very disparate tasks, from calibration transfer in spectroscopy to real-time modelling of streaming flows of data. The manuscript is divided into the following six parts, focused on various topics of interest: Part I - Preface, where an overview of this research work, its main aims and justification is given together with a brief introduction on PCA, PLS and PLSDA; Part II - On kernel-based extensions of PCA, PLS and PLSDA, where the potential of kernel techniques, possibly coupled to specific variants of the recently rediscovered pseudo-sample projection, formulated by the English statistician John C. Gower, is explored and their performance compared to that of more classical methodologies in four different applications scenarios: segmentation of Red-Green-Blue (RGB) images, discrimination of on-/off-specification batch runs, monitoring of batch processes and analysis of mixture designs of experiments; Part III - On the selection of the number of factors in PCA by permutation testing, where an extensive guideline on how to accomplish the selection of PCA components by permutation testing is provided through the comprehensive illustration of an original algorithmic procedure implemented for such a purpose; Part IV - On modelling common and distinctive sources of variability in multi-set data analysis, where several practical aspects of two-block common and distinctive component analysis (carried out by methods like Simultaneous Component Analysis - SCA - DIStinctive and COmmon Simultaneous Component Analysis - DISCO-SCA - Adapted Generalised Singular Value Decomposition - Adapted GSVD - ECO-POWER, Canonical Correlation Analysis - CCA - and 2-block Orthogonal Projections to Latent Structures - O2PLS) are discussed, a new computational strategy for determining the number of common factors underlying two data matrices sharing the same row- or column-dimension is described, and two innovative approaches for calibration transfer between near-infrared spectrometers are presented; Part V - On the on-the-fly processing and modelling of continuous high-dimensional data streams, where a novel software system for rational handling of multi-channel measurements recorded in real time, the On-The-Fly Processing (OTFP) tool, is designed; Part VI - Epilogue, where final conclusions are drawn, future perspectives are delineated, and annexes are included.
La presente tesis doctoral, concebida principalmente para apoyar y reforzar la relación entre la academia y la industria, se desarrolló en colaboración con Shell Global Solutions (Amsterdam, Países Bajos) en el esfuerzo de aplicar y posiblemente extender los enfoques ya consolidados basados en variables latentes (es decir, Análisis de Componentes Principales - PCA - Regresión en Mínimos Cuadrados Parciales - PLS - o PLS discriminante - PLSDA) para la resolución de problemas complejos no sólo en los campos de mejora y optimización de procesos, sino también en el entorno más amplio del análisis de datos multivariados. Con este fin, en todos los capítulos proponemos nuevas soluciones algorítmicas eficientes para abordar tareas dispares, desde la transferencia de calibración en espectroscopia hasta el modelado en tiempo real de flujos de datos. El manuscrito se divide en las seis partes siguientes, centradas en diversos temas de interés: Parte I - Prefacio, donde presentamos un resumen de este trabajo de investigación, damos sus principales objetivos y justificaciones junto con una breve introducción sobre PCA, PLS y PLSDA; Parte II - Sobre las extensiones basadas en kernels de PCA, PLS y PLSDA, donde presentamos el potencial de las técnicas de kernel, eventualmente acopladas a variantes específicas de la recién redescubierta proyección de pseudo-muestras, formulada por el estadista inglés John C. Gower, y comparamos su rendimiento respecto a metodologías más clásicas en cuatro aplicaciones a escenarios diferentes: segmentación de imágenes Rojo-Verde-Azul (RGB), discriminación y monitorización de procesos por lotes y análisis de diseños de experimentos de mezclas; Parte III - Sobre la selección del número de factores en el PCA por pruebas de permutación, donde aportamos una guía extensa sobre cómo conseguir la selección de componentes de PCA mediante pruebas de permutación y una ilustración completa de un procedimiento algorítmico original implementado para tal fin; Parte IV - Sobre la modelización de fuentes de variabilidad común y distintiva en el análisis de datos multi-conjunto, donde discutimos varios aspectos prácticos del análisis de componentes comunes y distintivos de dos bloques de datos (realizado por métodos como el Análisis Simultáneo de Componentes - SCA - Análisis Simultáneo de Componentes Distintivos y Comunes - DISCO-SCA - Descomposición Adaptada Generalizada de Valores Singulares - Adapted GSVD - ECO-POWER, Análisis de Correlaciones Canónicas - CCA - y Proyecciones Ortogonales de 2 conjuntos a Estructuras Latentes - O2PLS). Presentamos a su vez una nueva estrategia computacional para determinar el número de factores comunes subyacentes a dos matrices de datos que comparten la misma dimensión de fila o columna y dos planteamientos novedosos para la transferencia de calibración entre espectrómetros de infrarrojo cercano; Parte V - Sobre el procesamiento y la modelización en tiempo real de flujos de datos de alta dimensión, donde diseñamos la herramienta de Procesamiento en Tiempo Real (OTFP), un nuevo sistema de manejo racional de mediciones multi-canal registradas en tiempo real; Parte VI - Epílogo, donde presentamos las conclusiones finales, delimitamos las perspectivas futuras, e incluimos los anexos.
La present tesi doctoral, concebuda principalment per a recolzar i reforçar la relació entre l'acadèmia i la indústria, es va desenvolupar en col·laboració amb Shell Global Solutions (Amsterdam, Països Baixos) amb l'esforç d'aplicar i possiblement estendre els enfocaments ja consolidats basats en variables latents (és a dir, Anàlisi de Components Principals - PCA - Regressió en Mínims Quadrats Parcials - PLS - o PLS discriminant - PLSDA) per a la resolució de problemes complexos no solament en els camps de la millora i optimització de processos, sinó també en l'entorn més ampli de l'anàlisi de dades multivariades. A aquest efecte, en tots els capítols proposem noves solucions algorítmiques eficients per a abordar tasques dispars, des de la transferència de calibratge en espectroscopia fins al modelatge en temps real de fluxos de dades. El manuscrit es divideix en les sis parts següents, centrades en diversos temes d'interès: Part I - Prefaci, on presentem un resum d'aquest treball de recerca, es donen els seus principals objectius i justificacions juntament amb una breu introducció sobre PCA, PLS i PLSDA; Part II - Sobre les extensions basades en kernels de PCA, PLS i PLSDA, on presentem el potencial de les tècniques de kernel, eventualment acoblades a variants específiques de la recentment redescoberta projecció de pseudo-mostres, formulada per l'estadista anglés John C. Gower, i comparem el seu rendiment respecte a metodologies més clàssiques en quatre aplicacions a escenaris diferents: segmentació d'imatges Roig-Verd-Blau (RGB), discriminació i monitorització de processos per lots i anàlisi de dissenys d'experiments de mescles; Part III - Sobre la selecció del nombre de factors en el PCA per proves de permutació, on aportem una guia extensa sobre com aconseguir la selecció de components de PCA a través de proves de permutació i una il·lustració completa d'un procediment algorítmic original implementat per a la finalitat esmentada; Part IV - Sobre la modelització de fonts de variabilitat comuna i distintiva en l'anàlisi de dades multi-conjunt, on discutim diversos aspectes pràctics de l'anàlisis de components comuns i distintius de dos blocs de dades (realitzat per mètodes com l'Anàlisi Simultània de Components - SCA - Anàlisi Simultània de Components Distintius i Comuns - DISCO-SCA - Descomposició Adaptada Generalitzada en Valors Singulars - Adapted GSVD - ECO-POWER, Anàlisi de Correlacions Canòniques - CCA - i Projeccions Ortogonals de 2 blocs a Estructures Latents - O2PLS). Presentem al mateix temps una nova estratègia computacional per a determinar el nombre de factors comuns subjacents a dues matrius de dades que comparteixen la mateixa dimensió de fila o columna, i dos plantejaments nous per a la transferència de calibratge entre espectròmetres d'infraroig proper; Part V - Sobre el processament i la modelització en temps real de fluxos de dades d'alta dimensió, on dissenyem l'eina de Processament en Temps Real (OTFP), un nou sistema de tractament racional de mesures multi-canal registrades en temps real; Part VI - Epíleg, on presentem les conclusions finals, delimitem les perspectives futures, i incloem annexos.
Vitale, R. (2017). Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/90442
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HOOSHYARI, MARYAM. "Chemometrics Methods Applied to Non-Selective Signals in Order to Address Mainly Food, Industrial and Environmental Problems." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/999673.

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Chemometrics is a chemical discipline that uses mathematical and statistical methods in order to extract useful information from multivariate chemical data. Moreover, chemometrics is applied to correlate quality parameters or physical properties to analytical instrument data such as calculating pH from a measurement of hydrogen ion activity or a Fourier transform interpolation of a spectrum. Aim of this thesis project is to develop chemometrical strategies for the elaboration and the interpretation of non-selective complex data in order to solve real problems in food, industry and environmental fields.
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李佳明 and Jia-Ming Li. "使用PLSA架構之人臉分類系統." 碩士, 國立中正大學, 1996. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22096CCU05392193%22.&searchmode=basic.

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Miodrag, Jazić. "Hemijski sastav i biološki potencijal ploda, soka i tropa kultivisane i divlje kupine (Rubus fruticosus L.)." Phd thesis, Univerzitet u Novom Sadu, Tehnološki fakultet Novi Sad, 2019. https://www.cris.uns.ac.rs/record.jsf?recordId=111236&source=NDLTD&language=en.

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U okviru ove disertacije ispitan je hemijski, mineralni ipolifenolni sastav, kao i biološki potencijal četiri sortekupina sa dva različita lokaliteta sjeverozapadnog dijelaBosne i Hercegovine, sa lokaliteta Verići (divlja ikultivisana sorta Čačanska bestrna) i sa lokalitetaJavorani (divlja sorta i kultivisana sorta ChesterThornles). Određen je sadržaj suve materije, pepela,sirove celuloze, ukupnih šećera, ukupna kiselost i sadržajaskorbinske kiseline. Sadržaj mineralnih materijadetektovan je metodom optičke emisione spektrometrije(ICP-OES). Za izdvajanje ekstrakata je korištena klasičnaekstrakciona tehnika prema Soxhlet-u uz upotrebu 80 %etanola (v/v). Spektrofotometrijskim metodama određenje sadržaj ukupnih polifenola, flavonida, flavonola,ukupnih i monomernih antocijana. Kvalitativnom ikvantitativnom HPLC metodom je utvrđen sadržajpojedinačnih polifenolih jedinjenja. Biološki potencijaluzoraka je utvrđen u sistemima in vitro, gdje je određena:antioksidativna aktivnost, antihiperglikemijska aktivnost,antiproliferativni efekat i antimikrobna aktivnost.Antioksidativna aktivnost uzoraka je ispitana sa četirimetode: DPPH test, ABTS test, sposobnost neutralizacijehidroksil radikala i metodom inhibicije Briggs Rauscherovih oscilatornih reakcija. Antihiperglikemijska aktivnostispitivanih uzoraka kupine je dokazan na osnovusposobnosti inhibicije enzima α-glukozidaze.Antiproliferativni efekat ispitivanih uzoraka je određenprema inhibiciji rasta četiri humane ćelijske linije: HeLa(epitelnog karcinoma cerviksa), HT-29 (adenokarcinomadebelog crijeva), MRC-5 (zdravim ćelijama fibroblastipluća) i prema ćelijskoj liniji MCF7 (adenokarcinomadojke). Antimikrobna aktivnost je utvrđena prema grampozitivnom soju (G+) bakterija S. Aureus i gramnegativnom (G-) soju E. coli, rastu micelija Aspergillusaniger i Candida albicans. Regresionom analizom premaPirson-u su određeni odnosi između sadržaja polifenolnihjedinjenja i biološkog potencijala, sa statističkimznačajem (p ≤ 0,01).
The chemical, mineral, polyphenolics composition andbiological potentials of four blackberries varieties from twodifferent locations in the northwestern part of Bosnia andHerzegovina (Verići - wild and cultivated variety Čačanskabestrna and Javorani - wild and cultivated variety ChesterThornless) were determined. The contents of dry matter, ash,crude cellulose, total sugars, total acidity and ascorbic acid wereobtained. The contents of mineral matter were detected byoptical emission spectrometry (ICP-OES) method. A classicSoxhlet extraction technique with 80% ethanol (v/v) wasapplied to obtain extracts. The spectrophotometric methodswere used to determine the content of total polyphenolics,flavonoids, flavonols, and total and monomer anthocyanins. Thecontent of individual polyphenolic compounds was determinedby HPLC method. The biological potentials (antioxidantactivity, antihyperglycemic activity, antiproliferative effect andantimicrobial activity) of the samples were determined in vitrosystems. The antioxidant activity was tested with four methods:DPPH test, ABTS test, ability to neutralize OH radicals and themethod of inhibiting Briggs Rauscher oscillatory reactions. Theantihyperglycaemic activity of the tested blackberry sampleswas based on the ability to inhibit α-glucosidase enzyme. Theantiproliferative effect of the tested samples was determined byinhibiting the growth of four human cell lines: epithelialcarcinoma of the cervix (HeLa), colon adenocarcinoma (HT-29), healthy lung fibroblast cells (MRC-5) and the cell line ofbreast adenocarcinoma (MCF7). The extracts showed thehighest inhibitory effect on the cell line of breastadenocarcinoma (MCF-7). The antimicrobial activity wasdetermined according to gram-positive bacteria (G +) ofStaphylococcus aureus, Gram-negative bacteria (G -)Escherichia coli, growth of mycelium Aspergillus niger andfungi Candida albicans. The Pearson correlations werestatistically determined the relationship between the content ofpolyphenolic compounds and biological potential, withstatistical significance (p ≤ 0.01).
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Muoh, Chibuike. "Sparsification for Topic Modeling and Applications to Information Retrieval." Kent State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=kent1259206719.

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Krithara, Anastasia. "Learning aspect models with partially labeled data." Paris 6, 2008. http://www.theses.fr/2008PA066059.

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L'apprentissage automatique a été utilisé pour diverses tâches d'accès à l'information, tels que la catégorisation, le clustering ou l'extraction d'information. Acquérir les données annotées nécessaires pour appliquer les techniques d'apprentissage supervisé est un défi majeur pour cesapplications, en particulier pour les très grandes collections. Au coursdes dernières années, deux grandes approches ont été explorées dans cesens, l'apprentissage semi-supervisé et l'apprentissage actif. Les deuxparadigmes abordent la question du coût d'annotation, mais de deux pointsde vue différents. D'une part, apprentissage semi-supervisé essaied'apprendre en tenant compte à la fois des données annotées etnon-annotées. D'autre part, l'apprentissage actif tente de trouver lesmeilleurs exemples à annoter, afin de réduire au minimum le nombre d'exemples annotés nécessaire. Dans ce travail, nous étudions des extensions de modèles d'aspect pour la tâche de la classification, où les données sont partiellement annotées.
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Aleksandar, Leposavić. "Помолошке особине новоинтродукованих сорти високожбунасте боровнице (Vaccinium corymbosum L.)." Phd thesis, Univerzitet u Novom Sadu, Poljoprivredni fakultet u Novom Sadu, 2014. http://dx.doi.org/10.2298/NS20131227LEPOSAVIC.

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У агроеколошким условима Западне Србије, у периоду од 2008. до 2010. године,испитиване су помолошке особине сорти високожбунасте боровнице у циљу препоруке за увођење у производњу ове, у светским оквирима, све траженије врстевоћака.Оглед је постављен на објекту „Чачак”, Института за воћарство у Чачку са по 15 биљака сората ‘Bluecrop’ (контрола), ’Duke’, ‘Reka’, ‘Nui’ и ‘Ozarkblu’. Проучаване су физиолошке особине (фенофаза листања, фенофаза цветања, фенофаза опрашивања и оплођења, фенофаза зрења плода, фенофаза отпадања лишћа и дужина вегетационог периода), док су од помолошких особина испитиване физичке особинеплодова и принос. Квалитет плода је оцењиван на основу хемијског састава и органолептичке оцене. Истраживања су, такође, једним делом била усмерена на добијање нових сазнања из области репродуктивне биологије високожбунастеборовнице, односно одвијање прогамне фазе оплођења.Добијени резултати указују да су агроеколошки услови Западне Србије, уз адекватну примену агротехничких и помотехничких мера, погодни за комерцијално гајење испитиваних сорти високожбунасте боровнице. То се посебно односи на сорте ‘Bluecrop’, ‘Duke’ и ‘Ozarkblue’, које су оствариле високе приносе, као и добар квалитет плодова. Захваљујући одличној родности, али због слабијег квалитета плода, сорта ‘Reka’ се може препоручити за гајење у ограниченом обиму,првенствено као опрашивач за сорте ‘Bluecrop’ и ‘Duke’. Без обзира на одличан квалитет плодова, због мањих приноса, ограничени обим гајења препоручује се и за сорту ‘Nui’.
U agroekološkim uslovima Zapadne Srbije, u periodu od 2008. do 2010. godine,ispitivane su pomološke osobine sorti visokožbunaste borovnice u cilju preporuke za uvođenje u proizvodnju ove, u svetskim okvirima, sve traženije vrstevoćaka.Ogled je postavljen na objektu „Čačak”, Instituta za voćarstvo u Čačku sa po 15 biljaka sorata ‘Bluecrop’ (kontrola), ’Duke’, ‘Reka’, ‘Nui’ i ‘Ozarkblu’. Proučavane su fiziološke osobine (fenofaza listanja, fenofaza cvetanja, fenofaza oprašivanja i oplođenja, fenofaza zrenja ploda, fenofaza otpadanja lišća i dužina vegetacionog perioda), dok su od pomoloških osobina ispitivane fizičke osobineplodova i prinos. Kvalitet ploda je ocenjivan na osnovu hemijskog sastava i organoleptičke ocene. Istraživanja su, takođe, jednim delom bila usmerena na dobijanje novih saznanja iz oblasti reproduktivne biologije visokožbunasteborovnice, odnosno odvijanje progamne faze oplođenja.Dobijeni rezultati ukazuju da su agroekološki uslovi Zapadne Srbije, uz adekvatnu primenu agrotehničkih i pomotehničkih mera, pogodni za komercijalno gajenje ispitivanih sorti visokožbunaste borovnice. To se posebno odnosi na sorte ‘Bluecrop’, ‘Duke’ i ‘Ozarkblue’, koje su ostvarile visoke prinose, kao i dobar kvalitet plodova. Zahvaljujući odličnoj rodnosti, ali zbog slabijeg kvaliteta ploda, sorta ‘Reka’ se može preporučiti za gajenje u ograničenom obimu,prvenstveno kao oprašivač za sorte ‘Bluecrop’ i ‘Duke’. Bez obzira na odličan kvalitet plodova, zbog manjih prinosa, ograničeni obim gajenja preporučuje se i za sortu ‘Nui’.
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大濱, 裕. "「参加型地域社会開発 (PLSD)」の農業・農村開発への適用." 名古屋大学農学国際教育協力研究センター, 2009. http://hdl.handle.net/2237/17667.

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Books on the topic "PLSDA"

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Dontsova, Dar'ia. Kompot iz zapretnogo ploda. Moskva [Russia]: Eksmo, 2008.

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Nadirashvili, S. A. Iskusstvennoe plat͡s︡entarnoe krovoobrashchenie ploda. Tbilisi: "Met͡s︡niereba", 1986.

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M, Morozova L., and Borodin I͡U︡ I, eds. Genetiko-fiziologicheskie vzaimootnoshenii͡a︡ materi i ploda. Novisibirsk: Izd-vo "Nauka," Sibirskoe otd-nie, 1985.

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Uganda Association of Women Lawyers. and USAID/Uganda, eds. The plida: Engendering the peace process : a report of the African Women Lawyers (AWLA) Conference, funded by USAID through PACT-ISGM, Kampala, February 9-11, 2000. Kampala: FIDA (U), 2000.

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Downes. Plsma Phycs Astrphs. University of Cambridge ESOL Examinations, 2000.

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Downes. Plsma Phycs Astrphs. University of Cambridge ESOL Examinations, 2000.

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Michelin Travel Publications (EDT). Michelin 1998 Poland Plska. Michelin Travel Pubns, 1997.

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Kompot Iz Zapretnogo Ploda (Ironicheskii Detectiv). Eksmo, 2005.

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Asfiksii͡a︡ (fetalen distres) na ploda infekt͡s︡ii v akusherstvoto, Kimen 1990-1991. Sofii͡a︡: Medit͡s︡inska akademii͡a︡ nauch. in-t po akusherstvo i ginekologii͡a︡, 1991.

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YANNOULAS, Silvia C., A. V. GARCIA, Ana P. M. Oliveira, KÊNIA AUGUSTA FIGUEIREDO, Lívia M. F. VIEIRA, P. A. P. PEREIRA, S. A. SOUZA, Tiago Grama de OLIVEIRA, and T. P. CASTRO. Política Social e Desigualdades: A Educação em Destaque. Editora e Livraria Appris, 2020. http://dx.doi.org/10.18366/plsd.2110.2020.

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Book chapters on the topic "PLSDA"

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Bosch, Anna, Andrew Zisserman, and Xavier Muñoz. "Scene Classification Via pLSA." In Computer Vision – ECCV 2006, 517–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11744085_40.

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Li, Peng, Jian Cheng, Zechao Li, and Hanqing Lu. "Correlated PLSA for Image Clustering." In Lecture Notes in Computer Science, 307–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17832-0_29.

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Potapenko, Anna, and Konstantin Vorontsov. "Robust PLSA Performs Better Than LDA." In Lecture Notes in Computer Science, 784–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36973-5_84.

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Hong, Hao-Zhi, and Jen-Ing G. Hwang. "Multimodal PLSA for Movie Genre Classification." In Multiple Classifier Systems, 159–67. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20248-8_14.

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Ridzik, Andrej, and Milan Rusko. "PLDA Speaker Verification with Limited Speech Data." In Speech and Computer, 325–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23132-7_40.

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Villalba, Jesús, and Eduardo Lleida. "Unsupervised Training of PLDA with Variational Bayes." In Advances in Speech and Language Technologies for Iberian Languages, 69–78. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13623-3_8.

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Chen, Chaotao, and Jiangtao Ren. "An Improved PLDA Model for Short Text." In Natural Language Processing and Information Systems, 58–70. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59569-6_7.

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Xu, Wei-ran, Dong-xin Liu, Jun Guo, Yi-chao Cai, and Ri-le Hu. "Supervised Dual-PLSA for Personalized SMS Filtering." In Information Retrieval Technology, 254–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04769-5_22.

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Jiang, Yu, Jing Liu, Zechao Li, Peng Li, and Hanqing Lu. "Co-regularized PLSA for Multi-view Clustering." In Computer Vision – ACCV 2012, 202–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37444-9_16.

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Xu, Jie, Getian Ye, Yang Wang, Wei Wang, and Jun Yang. "Online Learning for PLSA-Based Visual Recognition." In Computer Vision – ACCV 2010, 95–108. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19309-5_8.

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Conference papers on the topic "PLSDA"

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Kalika, Dmitry, Kenneth D. Morton, Leslie M. Collins, and Peter A. Torrione. "Hyperbolic and PLSDA filter algorithms to detect buried threats in GPR data." In SPIE Defense + Security, edited by Steven S. Bishop and Jason C. Isaacs. SPIE, 2014. http://dx.doi.org/10.1117/12.2050502.

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Mohammad, Bassem R., and Wessam M. Hussein. "A novel approach of health monitoring and anomaly detection applied to spacecraft telemetry based on PLSDA multivariate latent technique." In 2014 15th International Workshop on Research and Education in Mechatronics (REM). IEEE, 2014. http://dx.doi.org/10.1109/rem.2014.6920243.

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Zhuang, Fuzhen, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, and Hui Xiong. "Collaborative Dual-PLSA." In the 19th ACM international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1871437.1871486.

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Wei-jiang, Li, Zhao Tie-jun, and Zang Wen-mao. "PLSA-Based Query Expansion." In 2009 Eighth IEEE/ACIS International Conference on Computer and Information Science. IEEE, 2009. http://dx.doi.org/10.1109/icis.2009.22.

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Mak, Man-Wai. "Fast scoring for mixture of PLDA in i-vector/PLDA speaker verification." In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, 2015. http://dx.doi.org/10.1109/apsipa.2015.7415337.

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Keiji Yanai. "Web image selection with PLSA." In 2008 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2008. http://dx.doi.org/10.1109/icme.2008.4607699.

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Hoo, Wai Lam, and Chee Seng Chan. "pLSA-based zero-shot learning." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738885.

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Monay, Florent, and Daniel Gatica-Perez. "PLSA-based image auto-annotation." In the 12th annual ACM international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1027527.1027608.

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Zhang, Yanyan, and Xiaoyang Tan. "Face Recognition via Spatial-PLSA." In 2009 Chinese Conference on Pattern Recognition (CCPR). IEEE, 2009. http://dx.doi.org/10.1109/ccpr.2009.5344055.

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Ranganathan, V. "Profile-learning based differential assessment method (PLBDA)." In 2012 International Conference on Technology Enhanced Education (ICTEE). IEEE, 2012. http://dx.doi.org/10.1109/ictee.2012.6208651.

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