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    Measurement of the t-channel single top quark production cross section in pp collisions at √s=7TeV

    , Article Physical Review Letters ; Volume 107, Issue 9 , August , 2011 ; 00319007 (ISSN) Chatrchyan, S ; Khachatryan, V ; Sirunyan, A. M ; Tumasyan, A ; Adam, W ; Bergauer, T ; Dragicevic, M ; Erö, J ; Fabjan, C ; Friedl, M ; Frühwirth, R ; Ghete, V. M ; Hammer, J ; Hänsel, S ; Hoch, M ; Hörmann, N ; Hrubec, J ; Jeitler, M ; Kiesenhofer, W ; Krammer, M ; Liko, D ; Mikulec, I ; Pernicka, M ; Rohringer, H ; Schöfbeck, R ; Strauss, J ; Taurok, A ; Teischinger, F ; Wagner, P ; Waltenberger, W ; Walzel, G ; Widl, E ; Wulz, C. E ; Mossolov, V ; Shumeiko, N ; Suarez Gonzalez, J ; Bansal, S ; Benucci, L ; De Wolf, E. A ; Janssen, X ; Maes, J ; Maes, T ; Mucibello, L ; Ochesanu, S ; Roland, B ; Rougny, R ; Selvaggi, M ; Van Haevermaet, H ; Van Mechelen, P ; Van Remortel, N ; Blekman, F ; Blyweert, S ; D'hondt, J ; Devroede, O ; Gonzalez Suarez, R ; Kalogeropoulos, A ; Maes, M ; Van Doninck, W ; Van Mulders, P ; Van Onsem, G. P ; Villella, I ; Charaf, O ; Clerbaux, B ; De Lentdecker, G ; Dero, V ; Gay, A. P. R ; Hammad, G. H ; Hreus, T ; Marage, P. E ; Thomas, L ; Vander Velde, C ; Vanlaer, P ; Adler, V ; Cimmino, A ; Costantini, S ; Grunewald, M ; Klein, B ; Lellouch, J ; Marinov, A ; Mccartin, J ; Ryckbosch, D ; Thyssen, F ; Tytgat, M ; Vanelderen, L ; Verwilligen, P ; Walsh, S ; Zaganidis, N ; Basegmez, S ; Bruno, G ; Caudron, J ; Ceard, L ; Cortina Gil, E ; De Favereau De Jeneret, J ; Delaere, C ; Favart, D ; Giammanco, A ; Grégoire, G ; Hollar, J ; Lemaitre, V ; Liao, J ; Militaru, O ; Nuttens, C ; Ovyn, S ; Pagano, D ; Pin, A ; Piotrzkowski, K ; Schul, N ; Beliy, N ; Caebergs, T ; Daubie, E ; Alves, G. A ; Brito, L ; De Jesus Damiao, D ; Pol, M. E ; Souza, M. H. G ; Aldá Júnior, W. L ; Carvalho, W ; Da Costa, E. M ; De Oliveira Martins, C ; Fonseca De Souza, S ; Mundim, L ; Nogima, H ; Oguri, V ; Prado Da Silva, W. L ; Santoro, A ; Silva Do Amaral, S. M ; Sznajder, A ; Bernardes, C. A ; Dias, F. A ; Fernandez Perez Tomei, T. R ; Gregores, E. M ; Lagana, C ; Marinho, F ; Mercadante, P. G ; Novaes, S. F ; Padula, S. S ; Darmenov, N ; Genchev, V ; Iaydjiev, P ; Piperov, S ; Rodozov, M ; Stoykova, S ; Sultanov, G ; Tcholakov, V ; Trayanov, R ; Dimitrov, A ; Hadjiiska, R ; Karadzhinova, A ; Kozhuharov, V ; Litov, L ; Mateev, M ; Pavlov, B ; Petkov, P ; Bian, J. G ; Chen, G. M ; Chen, H. S ; Jiang, C. H ; Liang, D ; Liang, S ; Meng, X ; Tao, J ; Wang, J ; Wang, J ; Wang, X ; Wang, Z ; Xiao, H ; Xu, M ; Zang, J ; Zhang, Z ; Ban, Y ; Guo, S ; Guo, Y ; Li, W ; Mao, Y ; Qian, S. J ; Teng, H ; Zhu, B ; Zou, W ; Cabrera, A ; Gomez Moreno, B ; Ocampo Rios, A. A ; Osorio Oliveros, A. F ; Sanabria, J. C ; Godinovic, N ; Lelas, D ; Lelas, K ; Plestina, R ; Polic, D ; Puljak, I ; Antunovic, Z ; Dzelalija, M ; Brigljevic, V ; Duric, S ; Kadija, K ; Morovic, S ; Attikis, A ; Galanti, M ; Mousa, J ; Nicolaou, C ; Ptochos, F ; Razis, P.A ; Finger, M ; Finger, M ; Assran, Y ; Khalil, S ; Mahmoud, M. A ; Hektor, A ; Kadastik, M ; Müntel, M ; Raidal, M ; Rebane, L ; Tiko, A ; Azzolini, V ; Eerola, P ; Fedi, G ; Czellar, S ; Härkönen, J ; Heikkinen, A ; Karimäki, V ; Kinnunen, R ; Kortelainen, M. J ; Lampén, T ; Lassila Perini, K ; Lehti, S ; Lindén, T ; Luukka, P ; Mäenpää, T ; Tuominen, E ; Tuominiemi, J ; Tuovinen, E ; Ungaro, D ; Wendland, L ; Banzuzi, K ; Karjalainen, A ; Korpela, A ; Tuuva, T ; Sillou, D ; Besancon, M ; Choudhury, S ; Dejardin, M ; Denegri, D ; Fabbro, B ; Faure, J. L ; Ferri, F ; Ganjour, S ; Gentit, F. X ; Givernaud, A ; Gras, P ; Hamel De Monchenault, G ; Jarry, P ; Locci, E ; Malcles, J ; Marionneau, M ; Millischer, L ; Rander, J ; Rosowsky, A ; Shreyber, I ; Titov, M ; Verrecchia, P ; Baffioni, S ; Beaudette, F ; Benhabib, L ; Bianchini, L ; Bluj, M ; Broutin, C ; Busson, P ; Charlot, C ; Dahms, T ; Dobrzynski, L ; Elgammal, S ; Granier De Cassagnac, R ; Haguenauer, M ; Miné, P ; Mironov, C ; Ochando, C ; Paganini, P ; Sabes, D ; Salerno, R ; Sirois, Y ; Thiebaux, C ; Wyslouch, B ; Zabi, A ; Agram, J. L ; Andrea, J ; Bloch, D ; Bodin, D ; Brom, J. M ; Cardaci, M ; Chabert, E. C ; Collard, C ; Conte, E ; Drouhin, F ; Ferro, C ; Fontaine, J. C ; Gelé, D ; Goerlach, U ; Greder, S ; Juillot, P ; Karim, M ; Le Bihan, A. C ; Mikami, Y ; Van Hove, P ; Fassi, F ; Mercier, D ; Baty, C ; Beauceron, S ; Beaupere, N ; Bedjidian, M ; Bondu, O ; Boudoul, G ; Boumediene, D ; Brun, H ; Chasserat, J ; Chierici, R ; Contardo, D ; Depasse, P ; El Mamouni, H ; Fay, J ; Gascon, S ; Ille, B ; Kurca, T ; Le Grand, T ; Lethuillier, M ; Mirabito, L ; Perries, S ; Sordini, V ; Tosi, S ; Tschudi, Y ; Verdier, P ; Lomidze, D ; Anagnostou, G ; Beranek, S ; Edelhoff, M ; Feld, L ; Heracleous, N ; Hindrichs, O ; Jussen, R ; Klein, K ; Merz, J ; Mohr, N ; Ostapchuk, A ; Perieanu, A ; Raupach, F ; Sammet, J ; Schael, S ; Sprenger, D ; Weber, H ; Weber, M ; Wittmer, B ; Ata, M ; Dietz Laursonn, E ; Erdmann, M ; Fischer, R ; Hebbeker, T ; Hinzmann, A ; Hoepfner, K ; Höing, R. S ; Klimkovich, T ; Klingebiel, D ; Kreuzer, P ; Lanske, D ; Lingemann, J ; Magass, C ; Merschmeyer, M ; Meyer, A ; Papacz, P ; Pieta, H ; Reithler, H ; Schmitz, S.A ; Sonnenschein, L ; Steggemann, J ; Teyssier, D ; Bontenackels, M ; Davids, M ; Duda, M ; Flügge, G ; Geenen, H ; Giffels, M ; Haj Ahmad, W ; Heydhausen, D ; Hoehle, F ; Kargoll, B ; Kress, T ; Kuessel, Y ; Linn, A ; Nowack, A ; Perchalla, L ; Pooth, O ; Rennefeld, J ; Sauerland, P ; Stahl, A ; Thomas, M ; Tornier, D ; Zoeller, M. H ; Aldaya Martin, M ; Behrenhoff, W ; Behrens, U ; Bergholz, M ; Bethani, A ; Borras, K ; Sharif University of Technology
    Electroweak production of the top quark is measured for the first time in pp collisions at √s=7TeV, using a data set collected with the CMS detector at the LHC and corresponding to an integrated luminosity of 36pb-1. With an event selection optimized for t-channel production, two complementary analyses are performed. The first one exploits the special angular properties of the signal, together with background estimates from the data. The second approach uses a multivariate analysis technique to probe the compatibility with signal topology expected from electroweak top-quark production. The combined measurement of the cross section is 83.6±29.8(stat+syst)±3.3(lumi) pb, consistent with the... 

    Mixed qualitative/quantitative dynamic simulation of processing systems

    , Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 24, Issue 1 , 2005 , Pages 53-67 ; 10219986 (ISSN) Yadegar, S ; Pishvaie, M. R ; Sharif University of Technology
    In this article the methodology proposed by Li and Wang for mixed qualitative and quantitative modeling and simulation of temporal behavior of processing unit is reexamined and extended to more complex case. The main issue of their approach considers the multivariate statistics of principal component analysis (PCA), along with clustered fuzzy digraphs and reasoning. The PCA and fuzzy clustering provide tools to categorize the quantitative dynamic trends, describing the temporal behavior of joint human-process interactions qualitatively, and through the proposed neuro-fuzzy reasoning the system responses can be obtained when the system is exposed to uncertain disturbances. First, the method... 

    Subject-specific compressive tolerance estimates

    , Article Technology and Health Care ; Volume 11, Issue 3 , 2003 , Pages 183-193 ; 09287329 (ISSN) Davis, K. G ; Parnianpour, M ; Sharif University of Technology
    IOS Press  2003
    Spinal load models have become an increasingly valuable tool for the evaluation of the stress placed on the spine. In order to get an accurate representation of these spinal loads, they must be compared to known tolerance values. Bone mineral content and density of the lumbar spine of 23 males and 21 females was measured using a dual energy x-ray absorptiometry. Compression tolerance values were predicted by previously published studies based upon bone mineral levels. Anthropometric measurements were recorded and related to the compression tolerance values through the use of multivariate linear regression techniques. Compression tolerance values based on the bone mineral content or density... 

    Skewness reduction approach in multi-attribute process monitoring

    , Article Communications in Statistics - Theory and Methods ; Volume 36, Issue 12 , 2007 , Pages 2313-2325 ; 03610926 (ISSN) Akhavan Niaki , S. T ; Abbasi, B ; Sharif University of Technology
    Since the product quality of many industrial processes depends upon more than one dependent variable or attribute, they are either multivariate or multi-attribute in nature. Although multivariate statistical process control is receiving increased attention in the literature, little work has been done to deal with multi-attribute processes. In this article, we develop a new methodology to monitor multi-attribute processes. To do this, first we transform multi-attribute data in a way that their marginal probability distributions have almost zero skewness. Then, we estimate the transformed covariance matrix and apply the well-known T2 control chart. In order to illustrate the proposed method... 

    A study of the electrophoretic deposition of Bioglass® suspensions using the Taguchi experimental design approach

    , Article Journal of the European Ceramic Society ; Volume 30, Issue 14 , October , 2010 , Pages 2963-2970 ; 09552219 (ISSN) Pishbin, F ; Simchi, A ; Ryan, M. P ; Boccaccini, A. R ; Sharif University of Technology
    This paper presents a study of the Taguchi design method to optimise the rate of electrophoretic deposition (EPD) of Bioglass® particles from aqueous suspensions. The effect of Bioglass® concentration, pH and electric field was investigated. An orthogonal array of L16 type with mixed levels of the control factors was utilized. Multivariate analysis of variance (MANOVA) and regression analysis based on the partial least-square method were used to identify the significant factors affecting the deposition rate and its stability during constant-voltage EPD. It was found that the pH of the suspension significantly influences the deposition rate whereas the applied electric field has the smallest... 

    Using distance on the Riemannian manifold to compare representations in brain and in models

    , Article NeuroImage ; Volume 239 , 2021 ; 10538119 (ISSN) Shahbazi, M ; Shirali, A ; Aghajan, H ; Nili, H ; Sharif University of Technology
    Academic Press Inc  2021
    Representational similarity analysis (RSA) summarizes activity patterns for a set of experimental conditions into a matrix composed of pairwise comparisons between activity patterns. Two examples of such matrices are the condition-by-condition inner product and correlation matrix. These representational matrices reside on the manifold of positive semidefinite matrices, called the Riemannian manifold. We hypothesize that representational similarities would be more accurately quantified by considering the underlying manifold of the representational matrices. Thus, we introduce the distance on the Riemannian manifold as a metric for comparing representations. Analyzing simulated and real fMRI... 

    A heuristic threshold policy for fault detection and diagnosis in multivariate statistical quality control environments

    , Article International Journal of Advanced Manufacturing Technology ; Volume 67, Issue 5-8 , July , 2013 , Pages 1231-1243 ; 02683768 (ISSN) Nezhad, M. S. F ; Niaki, S. T. A ; Sharif University of Technology
    In this paper, a heuristic threshold policy is developed to detect and classify the states of a multivariate quality control system. In this approach, a probability measure called belief is first assigned to the quality characteristics and then the posterior belief of out-of-control characteristics is updated by taking new observations and using a Bayesian rule. If the posterior belief is more than a decision threshold, called minimum acceptable belief determined using a heuristic threshold policy, then the corresponding quality characteristic is classified out-of-control. Besides using a different approach, the main difference between the current research and previous works is that the... 

    A Max-EWMA approach to monitor and diagnose faults of multivariate quality control processes

    , Article International Journal of Advanced Manufacturing Technology ; Volume 68, Issue 9-12 , 2013 , Pages 2283-2294 ; 02683768 (ISSN) Nezhad, M. S. F ; Niaki, S. T. A ; Sharif University of Technology
    A new approach is developed in this paper to detect general mean shifts of multivariate quality control systems and to determine the quality characteristic(s) responsible for the shift. This approach takes advantage of both a decomposition method and an EWMA-based control statistics that are employed for multivariate normal distributions. In order to evaluate the performance of the proposed methodology, simulation studies are provided to estimate the in- and out-of-control average run lengths under different mean and variance shift scenarios. Simulation experiments are also given to compare the performances of the proposed procedure with the ones of the well-known MEWMA and MCUSUM methods.... 

    Multivariate Synchronization Analysis of Brain Electroencephalography Signals: A Review of Two Methods

    , Article Cognitive Computation ; Volume 7, Issue 1 , February , 2013 , Pages 3-10 ; 18669956 (ISSN) Jalili, M ; Sharif University of Technology
    Springer New York LLC  2013
    Temporal synchronization of neuronal activity plays an important role in various brain functions such as binding, cognition, information processing, and computation. Patients suffering from disorders such as Alzheimer’s disease or schizophrenia show abnormality in the synchronization patterns. Electroencephalography (EEG) is a cheap, non-invasive, and easy-to-use method with fine temporal resolution. Modern multichannel EEG data are increasingly being used in brain studies. Traditional approaches for identifying synchronous activity in EEG are through univariate techniques such as power spectral density or bivariate techniques such as coherence. In this paper, we review two methods for... 

    A survey study of influential factors in the implementation of enterprise resource planning systems

    , Article International Journal of Enterprise Information Systems ; Volume 9, Issue 1 , 2013 , Pages 76-96 ; 15481115 (ISSN) Farzaneh, M ; Vanani, I. R ; Sohrabi, B ; Sharif University of Technology
    Enterprise Resource Planning systems (ERP) play a significant role in the management of businesses processes. Determining the influential factors that are positioned behind a successful ERP implementation is critical to gain the most value-added from competitive potentials of such systems. The driver of current research is to gain a deeper understanding of the various subjective criteria to measure ERP implementation success with the aim of enhancing the chance success through investigating ERP implementation performance indicators. By exploring the international literature, a comprehensive list of potential success factors of ERP systems is identified which are complementary and critical to... 

    A particle swarm optimization approach on economic and economic-statistical designs of MEWMA control charts

    , Article Scientia Iranica ; Volume 18, Issue 6 , December , 2011 , Pages 1529-1536 ; 10263098 (ISSN) Niaki, S. T. A ; Malaki, M ; Ershadi, M. J ; Sharif University of Technology
    Control charts are the best tools to monitor main process parameters, and the Multivariate Exponentially Weighted Moving Average, MEWMA, type of this tool is used when there are several correlated quality characteristics to be monitored simultaneously where detecting small deviations of the characteristics is desired. In this paper, the models of both the economic and the economic-statistical design problems of MEWMA control charts are solved by a Particle Swarm Optimization (PSO) approach. The comparison study between the economic and the economic-statistical designs shows better statistical performances of the economic-statistical design with negligible increase in cost. Furthermore, in... 

    An entropy based method for activation detection of functional MRI data using independent component analysis

    , Article ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 14 March 2010 through 19 March 2010 ; March , 2010 , Pages 2014-2017 ; 15206149 (ISSN) ; 9781424442966 (ISBN) Akhbari, M ; Babaie Zadeh, M ; Fatemizadeh, E ; Jutten, C ; Sharif University of Technology
    Independent Component Analysis (ICA) can be used to decompose functional Magnetic Resonance Imaging (fMRI) data into a set of statistically independent images which are likely to be the sources of fMRI data. After applying ICA, a set of independent components are produced, and then, a "meaningful" subset from these components must be identified, because a large majority of components are non-interesting. So, interpreting the components is an important and also difficult task. In this paper, we propose a criterion based on the entropy of time courses to automatically select the components of interest. This method does not require to know the stimulus pattern of the experiment  

    A comparative appraisal of roadway accident for Asia-Pacific countries

    , Article International Journal of Engineering, Transactions A: Basics ; Volume 23, Issue 2 , 2010 , Pages 111-126 ; 17281431 (ISSN) Vaziri, M ; Sharif University of Technology
    Materials and Energy Research Center  2010
    This paper describes an attempt to shed some light on road safety in Asia Pacific region by characterizing and assessing its road accidents. The relevant national road accident data were extracted from centralized data sources of international agencies. Due to data incompleteness and missing values, 21 Asia Pacific countries, presenting more than half of the world's population, were selected for detailed analysis. The study database consisted of 7 variables, covering years 1980 and 1995. The univariate and multivariate statistical analyses for the selected countries showed interesting results and relations for the selected variables. Accident rates, reflecting road accident risk and... 

    Decision-making in detecting and diagnosing faults of multivariate statistical quality control systems

    , Article International Journal of Advanced Manufacturing Technology ; Volume 42, Issue 7-8 , 2009 , Pages 713-724 ; 02683768 (ISSN) Akhavan Niaki, T ; Fallah Nezhad, M. S ; Sharif University of Technology
    A new methodology is proposed in this paper to both monitor an overall mean shift and classify the states of a multivariate quality control system. Based on the Bayesian rule (Montgomery, Introduction to statistical quality control, 5th edn. Wiley, New York, USA, 2005), the belief that each quality characteristic is in an out-of-control state is first updated in an iterative approach and the proof of its convergence is given. Next, the decision-making process of the detection and classification the process mean shift is modeled. Numerical examples by simulation are provided in order to understand the proposed methodology and to evaluate its performance. Moreover, the in-control and... 

    Metabolic profiling of seminal plasma from teratozoospermia patients

    , Article Journal of Pharmaceutical and Biomedical Analysis ; Volume 178 , January , 2020 Mehrparvar, B ; Chashmniam, S ; Nobakht, F ; Amini, M ; Javidi, A ; Minai Tehrani, A ; Arjmand, B ; Gilany, K ; Sharif University of Technology
    Elsevier B. V  2020
    Teratozoospermia is one of conditions that can cause male infertility. The mechanism of teratozoospermia remains unclear. The knowledge of the metabolites in human seminal plasma (HSP) is meaningful for the pathological study of teratozoospermia. Analysis of changed metabolites in HSP can help understand the cellular mechanism, find the novel biomarkers and subsequently design a diagnosis test. In this study, the analysis of samples performed by proton nuclear magnetic resonance spectroscopy (1H NMR spectroscopy) to identify the various metabolites, with the aim of finding metabolic profiles and biomarkers related to male infertility. Eighteen de-regulated metabolites were identified in... 

    A transformation technique in designing multi-attribute C control charts

    , Article Scientia Iranica ; Volume 15, Issue 1 , 2008 , Pages 125-130 ; 10263098 (ISSN) Akhavan Niaki, S. T ; Abbasi, B ; Sharif University of Technology
    Sharif University of Technology  2008
    In a production process, when the quality of a product depends on more than one characteristic, multivariate quality control techniques are used. Although multivariate statistical process control is receiving increased attention in the literature, little work has been done to deal with multi-attribute processes. In this paper, a new methodology has been developed to monitor multi-attribute processes, in which the defect counts are important and different types of defect are dependent random variables. In order to do this, based on the symmetric square root transformation concept, first, multi-attribute data is transformed, such that the correlation between variables either vanishes or... 

    Oblique weir equation using incomplete self-similarity

    , Article Canadian Journal of Civil Engineering ; Volume 33, Issue 10 , 2006 , Pages 1241-1250 ; 03151468 (ISSN) Borghei, S. M ; Kabiri Samani, A. R ; Nekoee, N ; Sharif University of Technology
    Incomplete self-similarity (ISS) concept is employed to develop the equations from existing experimental results of flow over an oblique rectangular sharp-crested weir for both free and submerged flow. The stage-discharge relationship is obtained by theoretical analysis, based on the application of the dimensional analysis and the ISS theory. For analysis, the relations were found by trial and error procedure using the SPSS mathematical computer program that estimates the relation among multi-variable functions. Thus, equations to estimate the flow characteristics for both free and submerged flow are proposed. The results show a better compatibility with the experimental data than the... 

    Phase II monitoring of generalized linear profiles under different types of changes

    , Article Scientia Iranica ; Volume 28, Issue 1 E , 2021 , Pages 557-571 ; 10263098 (ISSN) Hajifar, S ; Mahlooji, H ; Sharif University of Technology
    Sharif University of Technology  2021
    Various control charts have been proposed to monitor generalized linear pro les in Phase II. However, the robustness of the proposed methods in detecting di erent types and especially di erent directions of changes is not well-studied in the literature. In real-world applications, di erent kinds of change such as drift and multiple changes are likely to occur, which can be isotonic (increasing) or antitonic (decreasing). This paper studies the robustness of the Rao Score Test (RST) method, T2, and Multivariate Exponential Weighted Moving Average (MEWMA) in di erent types, drift and multiple, and directions of changes. The RST method also bene ts from a change-point detection approach whose... 

    Electrophoretic deposition of chitosan/45S5 Bioglass® composite coatings for orthopaedic applications

    , Article Surface and Coatings Technology ; Volume 205, Issue 23-24 , 2011 , Pages 5260-5268 ; 02578972 (ISSN) Pishbin, F ; Simchi, A ; Ryan, M. P ; Boccaccini, A. R ; Sharif University of Technology
    This article presents experimental results on the electrophoretic deposition (EPD) of bioresorbable chitosan/45S5 Bioglass® composite coatings for orthopaedic implants based on the Taguchi design of experiments (DOE) approach. The influence of EPD parameters including Bioglass® concentration, electric voltage and deposition time on deposition yield was studied by an orthogonal Taguchi array of L18 type. Multivariate analysis of variance (MANOVA) and regression analysis based on the partial least-square method were used to identify the significant factors affecting the deposition yield and its stability during constant-voltage EPD. The coatings were characterised by high resolution scanning... 

    Combining multivariate image analysis with high-performance thin-layer chromatography for development of a reliable tool for saffron authentication and adulteration detection

    , Article Journal of Chromatography A ; Volume 1628 , 2020 Amirvaresi, A ; Rashidi, M ; Kamyar, M ; Amirahmadi, M ; Daraei, B ; Parastar, H ; Sharif University of Technology
    Elsevier B.V  2020
    In this work, high-performance thin-layer chromatography (HPTLC) coupled with multivariate image analysis (MIA) is proposed as a fast and reliable tool for authentication and adulteration detection of Iranian saffron samples based on their HPTLC fingerprints. At first, the secondary metabolites of saffron were extracted using ultrasonic-assisted solvent extraction (UASE) which was optimized using central composite design (CCD). Next, the RGB coordinates of HPTLC images were used for estimation of saffron origin based on principal component analysis (PCA). The PCA scores plot showed that saffron samples were clustered into two clear-cut groups which was 92% matched with the geographical...