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Journal articles on the topic 'Unscrambler'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Davies, A. M. C. "Unscrambler 7.01 Review: The Unscrambler, Camo AS, Oslo, Norway." NIR news 9, no. 5 (1998): 7–9. http://dx.doi.org/10.1255/nirn.484.

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2

AISHIMA, Tetsuo. "Software review: UNSCRAMBLER 7.01." NIPPON SHOKUHIN KAGAKU KOGAKU KAISHI 46, no. 7 (1999): 497–99. http://dx.doi.org/10.3136/nskkk.46.497.

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3

Brown, Steven D. "Software review: Unscrambler 6.0." Journal of Chemometrics 11, no. 2 (1997): 176–78. http://dx.doi.org/10.1002/(sici)1099-128x(199703)11:2<176::aid-cem456>3.0.co;2-7.

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4

Davies, Tony. "Software Review: Unscrambler 7.5." NIR news 10, no. 5 (1999): 9. http://dx.doi.org/10.1255/nirn.536.

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5

Davies, Tony. "Unscrambler® 7.6 www.camo.no." NIR news 12, no. 2 (2001): 13–14. http://dx.doi.org/10.1255/nirn.609.

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6

Wegscheider, Wolfhard. "UNSCRAMBLER II, version 4.0." Chemometrics and Intelligent Laboratory Systems 19, no. 2 (1993): 269–70. http://dx.doi.org/10.1016/0169-7439(93)80111-t.

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7

Brown, StevenD. "Unscrambler II, version 3.10." TrAC Trends in Analytical Chemistry 10, no. 8 (1991): ix—x. http://dx.doi.org/10.1016/0165-9936(91)85135-e.

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8

Westad, Frank, Lars Gidskehaug, and Chuck Miller. "The best of two worlds." NIR news 31, no. 5-6 (2020): 34–39. http://dx.doi.org/10.1177/0960336020944008.

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With the latest release of Unscrambler, Camo Analytics introduced support for Python scripting, giving users the best of two worlds. This Python extension allows users to tap into the vast ecosystem of Data Science tools that are continually being produced in the Python community, while still leveraging the familiar data handling, validation and visualization features of Unscrambler – all contained within a fully compliant framework. This paper discusses the value propositions that the Python extension can provide to Unscrambler users, and follows this up with some specific examples of common

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9

Schornkopf, Suzanne. "11th Unscrambler User Club Meeting." NIR news 9, no. 1 (1998): 7–8. http://dx.doi.org/10.1255/nirn.454.

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10

N�rgaard, L. "Software review: The Unscrambler 7�5." Journal of Chemometrics 14, no. 1 (2000): 45–46. http://dx.doi.org/10.1002/(sici)1099-128x(200001/02)14:1<45::aid-cem567>3.0.co;2-f.

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11

Davies, A. M. C. "Unscrambler 8.0 (or is it 7.9?)." NIR news 14, no. 6 (2003): 6–8. http://dx.doi.org/10.1255/nirn.740.

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12

Garrido-Varo, A., J. Garcia-Olmo, and T. Fearn. "A note on Mahalanobis and related distance measures in WinISI and The Unscrambler." Journal of Near Infrared Spectroscopy 27, no. 4 (2019): 253–58. http://dx.doi.org/10.1177/0967033519848296.

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In identifying spectral outliers in near infrared calibration it is common to use a distance measure that is related to Mahalanobis distance. However, different software packages tend to use different variants, which lead to a translation problem if more than one package is used. Here the relationships between squared Mahalanobis distance D2, the GH distance of WinISI, and the T2 and leverage (L) statistics of The Unscrambler are established as D2 = T2 ≈ L × n ≈ GH × k, where n and k are the numbers of samples and variables, respectively, in the set of spectral data used to establish the dista

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13

Valcarce, Ron. "Software review: UNSCRAMBLER II-EX, version 3.42." Journal of Analytical and Applied Pyrolysis 24, no. 2 (1992): 197–98. http://dx.doi.org/10.1016/0165-2370(92)85030-o.

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14

Cavalcanti, A. R. O., and L. F. Landweber. "Gene Unscrambler for detangling scrambled genes in ciliates." Bioinformatics 20, no. 5 (2004): 800–802. http://dx.doi.org/10.1093/bioinformatics/bth003.

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15

Tyssø, Veslemøy, Kim Esbensen, and Harald Martens. "UNSCRAMBLER, an interactive program for multivariate calibration and prediction." Chemometrics and Intelligent Laboratory Systems 2, no. 1-3 (1987): 239–43. http://dx.doi.org/10.1016/0169-7439(87)80102-8.

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16

Høy, Martin, Kay Steen, and Harald Martens. "Review of partial least squares regression prediction error in Unscrambler." Chemometrics and Intelligent Laboratory Systems 44, no. 1-2 (1998): 123–33. http://dx.doi.org/10.1016/s0169-7439(98)00163-4.

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17

Popović, Miodrag, and Dragutin Šević. "Realization of an in-place unscrambler for prime factor algorithm." Signal Processing 46, no. 2 (1995): 249–52. http://dx.doi.org/10.1016/0165-1684(95)00110-y.

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18

Akbar, Yohanita Maulina, Dr Rudiati Evi Masithoh, and Nafis Khuriyati. "Aplikasi Analisis Multivariat Berdasarkan Warna untuk Memprediksi Brix dan pH pada Pisang." Agritech 37, no. 1 (2017): 109. http://dx.doi.org/10.22146/agritech.17022.

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In this research, Multiple Linear Regression (MLR) model was used to predict Brix and pH of banana based on RGB and Lab color values. Banana samples varied in color and ripening level from less ripen to ripen. RGB and Lab values were measured non-destructively using colormeter, while Brix and pH were determined using conventional method in laboratory. Multivariate analysis was done using the Unscrambler ® X 10.3 (CAMO, AS, OLSO, Norway, and trial version). Results showed that calibration model using MLR was able to predict Brix and pH of banana based on RGB and Lab color values. Furthermore, v

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19

Masdar, Masdar, Agus Arip Munawar, and Zulfahrizal Zulfahrizal. "Komparasi Metode Koreksi Spektrum NIRS (De-Trending dan Derivatif ke-2) untuk Penentuan Kadar Air Bubuk Biji kakao." Jurnal Ilmiah Mahasiswa Pertanian 1, no. 1 (2016): 1059–68. http://dx.doi.org/10.17969/jimfp.v1i1.1188.

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Rendahnya pengawasan mutu kakao menyebabkan harga jual di pasar dunia menurun akibat kurangnya pengawasan kadar air. Salah satu metode yang tepat dan cepat dalam penentuan kadar air adalah menggunakan atau Near Infrared Reflectance Spectroscopy (NIRS). Tujuan penelitian adalah melihat kemampuan NIRS dalam memprediksi kadar air bubuk biji kakao dengan menggunakan metode Partial Least Squares (PLS) serta membandingkan dua metode pretreatment De-trending dan Derivatif ke-2.Alat yang digunakan FT-IR IPTEK T-1516, dan pengolahan data dengan unscrambler software® X version 10. Hasil penelitian menun

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20

Faber, Klaas, and Bruce R. Kowalski. "Prediction error in least squares regression: Further critique on the deviation used in The Unscrambler." Chemometrics and Intelligent Laboratory Systems 34, no. 2 (1996): 283–92. http://dx.doi.org/10.1016/0169-7439(96)00022-6.

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21

Putra, Giar Pramanda, Ratna Ratna, and Agus Arip Munawar. "Uji Performansi Instrument Berbasis Teknologi Laser Photo-Accoustics Untuk Deferensiasi Kopi." Jurnal Ilmiah Mahasiswa Pertanian 4, no. 1 (2019): 618–27. http://dx.doi.org/10.17969/jimfp.v4i1.10282.

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Abstrak. Penelitian ini bertujuan untuk memanfaatkan instrument berbasis teknologi Laser Photo Acoustics untuk membedakan biji kopi berdasarkan perbedaan daerah dan jenis kopi. Penelitian ini menggunakan softwere The Unscrambler X 10.5 Parameter penelitian meliputi penggunaan metode PCA (partial component analysis( dengan mengguanakan pretreatment baseline correction dan klasifikasi biji kopi beserta perbedaan daerah penghasil kopi dengan total 40 sampel tembakan laser antara lain 20 sampel biji kopi arabika dan 20 sampel biji kopi robusta. Hasil penelitian menunjukkan bahwa uji performansi al

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22

De Vries, S., and Cajo J.F. Ter Braak. "Prediction error in partial least squares regression: a critique on the deviation used in The Unscrambler." Chemometrics and Intelligent Laboratory Systems 30, no. 2 (1995): 239–45. http://dx.doi.org/10.1016/0169-7439(95)00030-5.

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23

Meyer, Till Jasper, Elena Gerhard-Hartmann, Nina Lodes, et al. "Pilot study on the value of Raman spectroscopy in the entity assignment of salivary gland tumors." PLOS ONE 16, no. 9 (2021): e0257470. http://dx.doi.org/10.1371/journal.pone.0257470.

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Background The entity assignment of salivary gland tumors (SGT) based on histomorphology can be challenging. Raman spectroscopy has been applied to analyze differences in the molecular composition of tissues. The aim of this study was to evaluate the suitability of RS for entity assignment in SGT. Methods Raman data were collected in deparaffinized sections of pleomorphic adenomas (PA) and adenoid cystic carcinomas (ACC). Multivariate data and chemometric analysis were completed using the Unscrambler software. Results The Raman spectra detected in ACC samples were mostly assigned to nucleic ac

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24

Maura, Cut Faradilla Zha Zha, Rahmat Fadhil, and Zulfahrizal Zulfahrizal. "Pengembangan Metode Klasifikasi Biji Kopi Sangrai Arabika Gayo dan Robusta Gayo dengan Metode PCA (Principal Component Analysis) Berdasarkan Pengolahannya." Jurnal Ilmiah Mahasiswa Pertanian 4, no. 4 (2020): 562–71. http://dx.doi.org/10.17969/jimfp.v4i4.12779.

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Abstrak. Tanaman kopi merupakan suatu tanaman yang dapat meningkatkan sumber devisa negara lewat ekspor biji mentah maupun olahan dari biji kopi. Pengolahan kopi yang berbeda maka akan menghasilkan mutu kopi yang berbeda juga, semakin bagus prosesnya maka akan semakin tinggi mutu dan harga dari kopi. Pendeteksian perbedaan proses pengolahannya yang cepat dan efisien dapat diwujudkan dengan teknologi Near Infrared Reflectance Spectroscopy (NIRS). Tujuan yang ingin dicapai dalam penelitian ini adalah untuk membangun metode klasifikasi kopi arabika dan robusta Gayo menggunakan pengolahan full was

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25

Pratama, Galih, Diding Suhandy, Meinilwita Yulia, and Iskandar Zulkarnain. "Studi Kuantifikasi Pencampuran Kopi Dekaf - Non Dekaf Menggunakan Uv-Vis Spectroscopy dan Regresi PLS." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 8, no. 2 (2019): 86. http://dx.doi.org/10.23960/jtep-l.v8i2.86-96.

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Kopi dekaf adalah kopi rendah kafein yang memerlukan proses tambahan waktu dan biaya sehingga harganya cukup mahal. Kopi dekaf biasanya dijual dalam bentuk bubuk dan sangat sulit untuk dibedakan dengan mata. Untuk itu pada penelitian ini, UV-Vis spectroscopy diujicobakan untuk mendeteksi adanya pencampuran pada kopi dekaf dengan kopi non dekaf. Bahan yang digunakan setiap sampel adalah 1 gram, dengan jumlah sampel sebanyak 100 sampel dengan komposisi dekaf : non dekaf = 10% : 90%, 20% : 80%, 30% : 70%, 40% : 60%, 50% : 50%, 60% : 40%, 70% : 30%, 80% : 20%, 90% : 10%, dan 100% dekaf murni. Pada

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26

Barton, F. E., J. D. Bargeron, G. R. Gamble, D. L. McAlister, and E. Hequet. "Analysis of Sticky Cotton by Near-Infrared Spectroscopy." Applied Spectroscopy 59, no. 11 (2005): 1388–92. http://dx.doi.org/10.1366/000370205774783214.

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“Stickiness” in cotton is a major problem affecting throughput in cotton gins and spinning mills alike. Stickiness is thought to be caused by the deposition of sugars by insects, principally aphid and whitefly, on the open boll. Fourier transform near-infrared (FT-NIR) spectroscopy was used to develop models for sugar content from high-pressure liquid chromatography (HPLC), thermodetector, and mini-card data. A total of 457 cotton samples were selected to represent both Upland and Pima varieties and cotton processing before and after ginning. The Unscrambler was used to develop the models. A s

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27

Miyamoto, Kumi, Miyuki Kawauchi, and Toshitaka Fukuda. "Classification of High Acid Fruits by Partial Least Squares Using the near Infrared Transmittance Spectra of Intact Satsuma Mandarins." Journal of Near Infrared Spectroscopy 6, no. 1 (1998): 267–71. http://dx.doi.org/10.1255/jnirs.146.

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The feasibility of on-line measurement of citric acid content using NIR transmittance spectroscopy was investigated. The citric acid content was determined by titration with NaOH. The second derivative absorption values of transmittance spectra through the fruit equator were autoscaled by mean-centring and weighing by 1/S. Dev. The data were analysed by PLS1 using the UNSCRAMBLER software. The spectra of peeled fruits measured by a NIRSystems Model 6250 were analysed, and the model composed of 12 factors provided the highest accuracy; R = 0.93, Bias = −0.013% and SEP = 0.146%. In the next step

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28

Choudhary, Shivani, Deborah Herdt, Erik Spoor, José Fernando García Molina, Marcel Nachtmann, and Matthias Rädle. "Incremental Learning in Modelling Process Analysis Technology (PAT)—An Important Tool in the Measuring and Control Circuit on the Way to the Smart Factory." Sensors 21, no. 9 (2021): 3144. http://dx.doi.org/10.3390/s21093144.

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To meet the demands of the chemical and pharmaceutical process industry for a combination of high measurement accuracy, product selectivity, and low cost of ownership, the existing measurement and evaluation methods have to be further developed. This paper demonstrates the attempt to combine future Raman photometers with promising evaluation methods. As part of the investigations presented here, a new and easy-to-use evaluation method based on a self-learning algorithm is presented. This method can be applied to various measurement methods and is carried out here using an example of a Raman sp

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29

Febriyansyah, Ilka Agusti, Rahmat Fadhil, and Zulfahrizal Zulfahrizal. "Pengembangan Metode Klasifikasi Biji Kopi Beras Arabika Gayo dan Robusta Gayo dengan Metode PCA (Principal Component Analysis) Berdasarkan Pengolahannya." Jurnal Ilmiah Mahasiswa Pertanian 4, no. 4 (2020): 472–81. http://dx.doi.org/10.17969/jimfp.v4i4.12776.

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Abstrak. Kopi merupakan salah satu tanaman yang telah banyak dibudidayakan karena memiliki manfaat dan memiliki nilai jual yang cukup tinggi. Pengolahan kopi secara basah dapat dilakukan dengan dua cara yaitu dengan cara basah (full wash) dan semi basah (semi wash). Secara visual sulit mengidentifikasi perbedaan dari biji kopi beras robusta proses basah (full wash) dengan kopi semi basah (semi wash). Tujuan yang ingin dicapai dalam penelitian ini adalah untuk membangun metode klasifikasi kopi Arabika Gayo dan Robusta Gayo dalam bentuk biji kopi beras menggunakan pengolahan basah (full wash) da

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30

Kulzumia, Curie Julia, Dina Dina Qoyima, Hendri Wasito, and Sri Sutji Susilowati. "Spektrofotometri dengan Pendekatan Kemometrika untuk Analisis Asam Benzoat dan Asam Salisilat Secara Simultan dalam Sediaan Larutan." MPI (Media Pharmaceutica Indonesiana) 1, no. 3 (2017): 164–73. http://dx.doi.org/10.24123/mpi.v1i3.269.

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Kombinasi asam benzoat (AB) dan asam salisilat (AS) memiliki fungsi sebagaifungistatik dan fungisida. Salah satu bentuk sediaan farmasi yang mengandung kedua senyawa tersebutadalah dalam bentuk larutan. Penelitian ini bertujuan untuk mengembangkan, memvalidasi, danmengaplikasikan spektrofotometri dengan pendekatan kemometrika untuk analisis AB dan AS dalamsediaan larutan secara simultan. Model kemometrika yang digunakan adalah analisis multivariatprincipal component regression (PCR) dan partial least square-1 (PLS-1) yang dikembangkanmenggunakan 16 training set dan 10 test set. Konsentrasi AB

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31

Berger, Eric. "Unscrambled." Annals of Emergency Medicine 59, no. 6 (2012): A19—A20. http://dx.doi.org/10.1016/j.annemergmed.2012.04.014.

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32

Socaciu, Carmen, Florinela Fetea, Floricuta Ranga, et al. "Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) Coupled with Chemometrics, to Control the Botanical Authenticity and Quality of Cold-Pressed Functional Oils Commercialized in Romania." Applied Sciences 10, no. 23 (2020): 8695. http://dx.doi.org/10.3390/app10238695.

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Attenuated total reflectance-Fourier transform infrared ppectroscopy (ATR-FTIR) proved to be a reliable, rapid, and easy-to-use technique to evaluate vegetable oils quality and authenticity. The spectral range of the middle infrared region (MIR) of FTIR spectra, from 4000 to 600 cm−1, has been commonly used to fingerprint specific functional groups of lipids and their modified forms induced by oxidation of thermal treatment. The applicability of FTIR-MIR spectroscopy in assessing oil fingerprinting and quality parameters is crucially dependent on the chemometric methods, including calibrations

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33

Popa, Ramona Maria, Florinela Fetea, and Carmen Socaciu. "ATR-FTIR-MIR Spectrometry and Pattern Recognition of Bioactive Volatiles in Oily versus Microencapsulated Food Supplements: Authenticity, Quality, and Stability." Molecules 26, no. 16 (2021): 4837. http://dx.doi.org/10.3390/molecules26164837.

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Fourier transform infrared spectroscopy on the middle infrared region (ATR-FTIR-MIR) proved to be a convenient and reliable technique to evaluate foods’ quality and authenticity. Plants’ essential oils are bioactive mixtures used as such or in different oily or microencapsulated formulations, beneficial to human health. Six essential oils (thyme, oregano, juniperus, tea tree, clove, and cinnamon) were introduced in three oily formulations (Biomicin, Biomicin Forte, and Biomicin urinary) and these formulations were microencapsulated on fructose and maltodextrin matrices. To study their stabilit

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34

Rout, Siba Prasad, Rabinarayan Acharya, and Jayanta Kumar Maji. "DISCRIMINANT ANALYSIS OF SHODHANA (PROCESSING) ON BALIOSPERMUM MONTANUM MUELL (DANTI) ROOT SAMPLES BASED ON NEAR INFRARED SPECTROSCOPY AND MULTIVARIATE CHEMOMETRIC TECHNIQUE." International Journal of Pharmacy and Pharmaceutical Sciences 9, no. 7 (2017): 130. http://dx.doi.org/10.22159/ijpps.2017v9i7.18272.

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Objective: To establish a noticeable and a justifiable identification system to assess the impact of shodhana (processing) on various levels of Baliospermum montanum (Danti) root samples obtained through shodhana (processing technique) in quality agreement based on near-infrared-spectroscopy.Methods: Authenticated raw Danti (R. D) root and various Danti root samples obtained after shodhana (processing) such as water processed Danti root (WPDR), Kusha processed Danti root (KPDR) and classical processed Danti root (CPDR), were dried, pulverized and shifted through eighty meshes. The samples were

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35

Ghasemi, Ghasem, Sattar Arshadi, Alireza Nemati Rashtehroodi, Mahyar Nirouei, Shahab Shariati, and Zinab Rastgoo. "QSAR Investigation on Quinolizidinyl Derivatives in Alzheimer’s Disease." Journal of Computational Medicine 2013 (April 30, 2013): 1–8. http://dx.doi.org/10.1155/2013/312728.

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Sets of quinolizidinyl derivatives of bi- and tri-cyclic (hetero) aromatic systems were studied as selective inhibitors. On the pattern, quantitative structure-activity relationship (QSAR) study has been done on quinolizidinyl derivatives as potent inhibitors of acetylcholinesterase in alzheimer’s disease (AD). Multiple linear regression (MLR), partial least squares (PLSs), principal component regression (PCR), and least absolute shrinkage and selection operator (LASSO) were used to create QSAR models. Geometry optimization of compounds was carried out by B3LYP method employing 6–31 G basis se

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Lazar, Gligor Andrei, Florina Romanciuc, Nicolae Crisan, and Carmen Socaiu. "SERUM LIPIDOMIC BIOMARKERS FROM PATIENTS WITH PROSTATE PATHOLOGY, IDENTIFIED BY HIGH PERFORMANCE LIQUID CHROMATOGRAPHY COUPLED WITH MASS SPECTROMETRY." Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Animal Science and Biotechnologies 73, no. 2 (2016): 155. http://dx.doi.org/10.15835/buasvmcn-asb:12205.

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Introduction: Lipidomics can offer an instant picture of the lipophilic metabolites from tissues and biofluids and can indicate the evolution of different pathologies, such as hyperplasia or different types of cancers. Related to these pathologies, Prostate Serum Antigen (PSA), proved to have a low grade prediction for an accurate diagnosis. Meanwhile, untargeted or targeted metabolomics became a useful advanced technology to discover new biomarkers for a better diagnosis.Aims: To realize an adequate procedure based on liquid chromatography coupled with mass spectrometry (HPLC-MS) to determine

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37

Kumar, Anuj, Akanksha Thakur, Jayanta Kumar Maji, and Prashant Bedarkar. "DISCRIMINANT ANALYSIS OF PURIFICATION ON TURMERIC (CURCUMA LONGA LINN) SAMPLES BASED ON PHYTO-PHARMACOGNOSTICAL AND MULTIVARIATE CHEMOMETRIC TECHNIQUE." International Journal of Pharmacy and Pharmaceutical Sciences 9, no. 9 (2017): 156. http://dx.doi.org/10.22159/ijpps.2017v9i9.20478.

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Objective: To establish an acceptable identification system of various purification effects in context classical based different media on turmeric samples and relates its altering pattern in favor of phyto-pharmacognostical, image processing and multivariate chemometric analysis.Methods: Authenticated turmeric samples purified through different processes by using different media such as cow’s urine, panchapllava (five different plants tender leaves), the inflorescence of alambusha (Sphaeranthus indicus, Linn) decoction, water and buttermilk. Resultant samples dried, pulverized and undertaken p

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38

Nemati rashtehroodi, Alireza, and Ghasem Ghasemi. "QSAR investigation on benzimidazole derivatives in Trichomonosisâ€™ disease." JOURNAL OF ADVANCES IN BIOTECHNOLOGY 4, no. 3 (2014): 461–68. http://dx.doi.org/10.24297/jbt.v4i3.4998.

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Globally trichomoniasis affects approximately 152 million people as of 2010 (2.2% of the population). It is more common in women (2.7%) than males (1.4%). The American Social Health Association estimates trichomoniasis affects 7.4 million previously unaffected Americans each year and is the most frequently presenting new infection of the common sexually transmitted diseases. On the pattern, QSAR study has been done on benzimidazole derivatives as potent inhibitors with trichomonicidal activity. Genetic algorithm (GA), artificial neural network (ANN), stepwise multiple linear regression (stepwi

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39

Cadigan, Francoise, Nicolas Roulin, and Lukas Neville. "Talent Management – Unscrambled." Academy of Management Proceedings 2017, no. 1 (2017): 11851. http://dx.doi.org/10.5465/ambpp.2017.34.

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40

Tekin, Yücel, Zeynal Tümsavas, and Abdul Mounem Mouazen. "Comparing the artificial neural network with parcial least squares for prediction of soil organic carbon and pH at different moisture content levels using visible and near-infrared spectroscopy." Revista Brasileira de Ciência do Solo 38, no. 6 (2014): 1794–804. http://dx.doi.org/10.1590/s0100-06832014000600014.

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Visible and near infrared (vis-NIR) spectroscopy is widely used to detect soil properties. The objective of this study is to evaluate the combined effect of moisture content (MC) and the modeling algorithm on prediction of soil organic carbon (SOC) and pH. Partial least squares (PLS) and the Artificial neural network (ANN) for modeling of SOC and pH at different MC levels were compared in terms of efficiency in prediction of regression. A total of 270 soil samples were used. Before spectral measurement, dry soil samples were weighed to determine the amount of water to be added by weight to ach

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41

Williams, Phil, Erik Eising, and Diane F. Malley. "Industrial-scale continuous on-line analysis of liquid hog manure by NIRS." NIR news 31, no. 7-8 (2020): 25–29. http://dx.doi.org/10.1177/0960336020978714.

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The objective of the work was to use near-infrared spectroscopy (NIRS) to identify the pattern of distribution of the manure nutrients onto a field. The paper describes what is believed to be the first application of NIRS to continuous analysis of liquid manure on an industrial scale. The on-line analysis is accomplished without the need for a sample cell to scan the sample, or the need for sampling during manure application to the land, because the entire amount of the material is analyzed. Diode array instruments were used for continuous scanning of the manure as it was being applied. Becaus

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Helland, Kristian. "UNSCRAMBLER 11, version 3.10: A program for multivariate analysis with PLS and PCA/PCR. Available from CAMO AS, Jarlevn. 4, Trondheim, Norway. Price $3000; academic discount price $1500." Journal of Chemometrics 5, no. 4 (1991): 413–15. http://dx.doi.org/10.1002/cem.1180050410.

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Bouma, Gerlof, and Helen de Hoop. "Unscrambled Pronouns in Dutch." Linguistic Inquiry 39, no. 4 (2008): 669–77. http://dx.doi.org/10.1162/ling.2008.39.4.669.

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Schultz, Richard, and Carmen Williams. "Sperm–egg fusion unscrambled." Nature 434, no. 7030 (2005): 152–53. http://dx.doi.org/10.1038/434152a.

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Yu, Ji. "To unscramble an egg." Nature Methods 10, no. 3 (2013): 208–9. http://dx.doi.org/10.1038/nmeth.2379.

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Abeles, Tom P. "You Can’t Unscramble Eggs." On the Horizon 9, no. 1 (2001): 2–4. http://dx.doi.org/10.1108/10748120110803635.

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Roosmayanti, F., K. Rismiwindira, and R. E. Masithoh. "Detection of coconut (Cocos nucivera) sugar adulteration in palm (Arenga pinnata Merrill) sugar by Fourier Transform Infrared (FT-IR) Spectroscopy." Food Research 5, S2 (2021): 31–36. http://dx.doi.org/10.26656/fr.2017.5(s2).013.

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Palm sugar which is also named brown sugar is powdered sugar produced from palm extract. Due to the high price of palm sugar, its contamination of materials that are cheap or low quality is inevitable. Usually, adulteration detection is done by conventional methods such as HPLC, TLC, or NMR which are time-consuming and require high-priced equipment, thus impractical for routine and large sample analysis. The aim of this research was to detect adulteration in palm sugar using Fourier Transform Infrared (FT-IR) spectroscopy. The samples used in this study were palm sugar as the main ingredient a

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Forrest, Robert. "You can’t unscramble an egg." Science & Justice 41, no. 2 (2001): 130–31. http://dx.doi.org/10.1016/s1355-0306(01)71873-4.

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Oberenko, A. V., S. V. Kachin, and S. A. Sagalakov. "Comparative study of plastic smoking mixtures containing synthetic cannabinoids using gas chromatography." Industrial laboratory. Diagnostics of materials 86, no. 8 (2020): 5–11. http://dx.doi.org/10.26896/1028-6861-2020-86-8-5-11.

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We propose an algorithm for comparative study of plastic smoking mixtures containing synthetic cannabinoids using gas chromatography in the following configuration: a Crystal 5000.2 chromatograph (Russia) with a quartz capillary column (L = 50 m,  = 0.32 mm) with a grafted phase based on polyethylene glycol modified with nitroterephthalic acid and a flame ionization detector. Plastic smoking mixtures (40 samples) seized from illegal circulation by officers of the Transport Department of the Ministry of Internal Affairs of Russia in the Siberian Federal District were used as test samples. Math

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Hopkins, Kathleen D. "Reminders unscrambled from Ig Nobel awards." Lancet 358, no. 9289 (2001): 1202. http://dx.doi.org/10.1016/s0140-6736(01)06340-1.

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