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1. Mass transfer rate and osmotic treatment efficiency of peaches

Author: Lončar B., Nićetin M., Filipović J., Filipović V., Knežević V., Pezo L., and Šuput D.
Subjects: osmotic drying, sugar beet molasses, weight reduction, dehydration efficiency index, pca, correlations, Food processing and manufacture, TP368-456
Abstract: The highest-quality peaches [Prunus persica (L.) Batsch] are cultivated in areas with sunny summers, therefore the territory of the Autonomous Province of Vojvodina is a favourable region for their production. Peaches are usually consumed fresh, canned, or dried and represent a great source of the essential nutrients. Osmotic dehydration is a well-known preservation method that relies on mild temperatures and requires low energy. Research conducted at the Faculty of Technology Novi Sad has introduced sugar beet molasses as an efficient osmotic solution for drying various food samples. In this research, peach samples were osmotically treated in sugar beet molasses, and the goal was to investigate the impact of different solution concentrations, temperatures, and immersion time on the mass transfer rate and the efficiency of treatment. The results have shown that the mass transfer rate during the osmotic treatment of peach samples in sugar beet molasses was the most intensive at the beginning of the process, at the highest solution concertation, and at the highest temperature. In accordance with the results, diffusion occurred most rapidly during the first three hours of the process; therefore, processing time can be reduced.
Published: 2022
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2. Chemical speciation of metals in unpolluted soils of different types: Correlation with soil characteristics and an ANN modelling approach

Author: Marković, J., Jović, M., Smičiklas, I., Pezo, L., Šljivić-Ivanović, M., Onjia, A., and Popović, A.
Published: 2016
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3. The study of thermal behavior of montmorillonite and hydromica brick clays in predicting tunnel kiln firing curve

Author: Vasic, M.V., Pezo, L., Zdravkovic, J.D., Backalic, Z., and Radojevic, Z.
Subjects: Plasticity -- Analysis, Montmorillonite -- Thermal properties -- Analysis, Business, Construction and materials industries
Abstract: ABSTRACT The aim of this study was to test montmorillonite and hydromica type of brick clays by using simultaneous thermal analysis and dilatometry in an assessment of the suitability of [...]
Published: 2017
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4. A chemometric approach to study the effects of motorway proximity on microelements content in wheat and soil

Author: Ludajić, G., Pezo, L., Filipović, N., and Filipović, J.
Published: 2015
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5. Comparative effectiveness and safety of non-vitamin K antagonists for atrial fibrillation in clinical practice:: GLORIA-AF Registry

Author: Lip G. Y. H., Kotalczyk A., Teutsch C., Diener H. -C., Dubner S. J., Halperin J. L., Ma C. -S., Rothman K. J., Marler S., Gurusamy V. K., Huisman M. V., Abban D. W., Aziz E., Kalan M. B., Abdul N., Backes L. M., Bradman D., Abud A. M., Badings E., Brautigam D., Adams F., Bagni E., Breton N., Addala S., Baker S. H., Brouwers P. J. A. M., Adragao P., Bala R., Browne K., Ageno W., Baldi A., Cortada J. B., Aggarwal R., Bando S., Bruni A., Agosti S., Banerjee S., Brunschwig C., Agostoni P., Bank A., Buathier H., Aguilar F., Esquivias G. B., Buhl A., Linares J. A., Barr C., Bullinga J., Aguinaga L., Bartlett M., Cabrera J. W., Ahmed J., Basic Kes V., Caccavo A., Aiello A., Baula G., Cai S., Ainsworth P., Behrens S., Caine S., Aiub J. R., Bell A., Calo L., Al-Dallow R., Benedetti R., Calvi V., Alderson L., Mazuecos J. B., Sanchez M. C., Velasco J. A. A., Benhalima B., Candeias R., Alexopoulos D., Bergler-Klein J., Capuano V., Manterola F. A., Berneau J. -B., Capucci A., Aliyar P., Bernstein R. A., Caputo R., Alonso D., Berrospi P., Rizo T. C., da Costa F. A. A., Berti S., Cardona F., Amado J., Berz A., da Costa Darrieux F. C., Amara W., Best E., Vera Y. C. D., Amelot M., Bettencourt P., Carolei A., Amjadi N., Betzu R., Carreno S., Ammirati F., Bhagwat R., Carvalho P., Andrade M., Bhatta L., Cary S., Andrawis N., Biscione F., Casu G., Annoni G., Bisignani G., Cavallini C., Ansalone G., Black T., Cayla G., Ariani M. K., Bloch M. J., Celentano A., Arias J. C., Bloom S., Cha T. -J., Armero S., Blumberg E., Cha K. S., Arora C., Bo M., Chae J. K., Aslam M. S., Bohmer E., Chalamidas K., Asselman M., Bollmann A., Challappa K., Audouin P., Bongiorni M. G., Chand S. P., Augenbraun C., Boriani G., Chandrashekar H., Aydin S., Boswijk D. J., Chartier L., Bott J., Chatterjee K., Ayryanova I., Bottacchi E., Ayala C. A. C., Cheema A., Davis G., Evonich R., Davy J. -M., Evseeva O., Chen L., Dayer M., Ezhov A., Chen S. -A., De Biasio M., Fahmy R., Chen J. H., De Bonis S., Fang Q., Chiang F. -T., De Caterina R., Farsad R., Chiarella F., De Franceschi T., Fauchier L., Chih-Chan L., de Groot J. R., Favale S., Cho Y. K., De Horta J., Fayard M., Choi J. -I., De La Briolle A., Fedele J. L., Choi D. J., de la Pena Topete G., Fedele F., Chouinard G., de Paola A. A. V., Fedorishina O., Chow D. H. -F., de Souza W., Fera S. R., Chrysos D., de Veer A., Ferreira L. G. G., Chumakova G., De Wolf L., Ferreira J., Valenzuela E. J. J. R. C., Decoulx E., Ferri C., Nica N. C., Deepak S., Ferrier A., Cislowski D. J., Defaye P., Ferro H., Clay A., Munoz F. D. -C., Finsen A., Clifford P., Brkljacic D. D., First B., Cohen A., Deumite N. J., Fischer S., Cohen M., Di Legge S., Fonseca C., Cohen S., Diemberger I., Almeida L. F., Colivicchi F., Dietz D., Forman S., Collins R., Dionisio P., Frandsen B., Colonna P., Dong Q., French W., Compton S., dos Santos F. R., Friedman K., Connolly D., Dotcheva E., Friese A., Conti A., Doukky R., Fruntelata A. G., Buenostro G. C., D'Souza A., Fujii S., Coodley G., Dubrey S., Fumagalli S., Cooper M., Ducrocq X., Fundamenski M., Coronel J., Dupljakov D., Furukawa Y., Corso G., Duque M., Gabelmann M., Sales J. C., Dutta D., Gabra N., Cottin Y., Duvilla N., Gadsboll N., Covalesky J., Duygun A., Galinier M., Cracan A., Dziewas R., Gammelgaard A., Crea F., Eaton C. B., Ganeshkumar P., Crean P., Eaves W., Gans C., Crenshaw J., Ebels-Tuinbeek L. A., Quintana A. G., Cullen T., Ehrlich C., Gartenlaub O., Darius H., Eichinger-Hasenauer S., Gaspardone A., Dary P., Eisenberg S. J., Genz C., Dascotte O., Jabali A. E., Georger F., Dauber I., Shahawy M. E., Georges J. -L., Davalos V., Hernandes M. E., Georgeson S., Davies R., Izal A. E., Giedrimas E., Gierba M., Haruna T., Jarmukli N., Ortega I. G., Hayek E., Jeanfreau R. J., Gillespie E., Healey J., Jenkins R. D., Giniger A., Hearne S., Sanchez C. J., Giudici M. C., Heffernan M., Jimenez J., Gkotsis A., Heggelund G., Jobe R., Glotzer T. V., Heijmeriks J. A., Joen-Jakobsen T., Gmehling J., Hemels M., Jones N., Gniot J., Hendriks I., Jorge J. C. M., Goethals P., Henein S., Jouve B., Goldbarg S., Her S. -H., Jung B. C., Goldberg R., Hermany P., Jung K. T., Goldmann B., Del Rio J. E. H., Jung W., Golitsyn S., Higashino Y., Kachkovskiy M., Gomez S., Hill M., Kafkala K., Mesa J. G., Hisadome T., Kalinina L., Gonzalez V. B., Hishida E., Kallmunzer B., Hermosillo J. A. G., Hoffer E., Kamali F., Lopez V. M. G., Hoghton M., Kamo T., Gorka H., Hong K., Kampus P., Gornick C., Hong S., Kashou H., Gorog D., Horbach S., Kastrup A., Gottipaty V., Horiuchi M., Katsivas A., Goube P., Hou Y., Kaufman E., Goudevenos I., Hsing J., Kawai K., Graham B., Huang C. -H., Kawajiri K., Greer G. S., Huckins D., Kazmierski J. F., Gremmler U., Hughes K., Keeling P., Grena P. G., Huizinga A., Saraiva J. F. K., Grond M., Hulsman E. L., Ketova G., Gronda E., Hung K. -C., Khaira A. S., Gronefeld G., Hwang G. -S., Khripun A., Gu X., Ikpoh M., Kim D. -I., Torres I. G. T., Imberti D., Kim Y. H., Guardigli G., Ince H., Kim N. H., Guevara C., Indolfi C., Kim D. K., Guignier A., Inoue S., Kim J. S., Gulizia M., Irles D., Gumbley M., Iseki H., Kim K. S., Gunther A., Israel C. N., Kim J., Ha A., Iteld B., Kinova E., Hahalis G., Iyer V., Klein A., Hakas J., Jackson-Voyzey E., Kmetzo J. J., Hall C., Jaffrani N., Kneller G. L., Han B., Jager F., Knezevic A., Han S., James M., Koh S. M. A., Hargrove J., Jang S. -W., Koide S., Hargroves D., Jaramillo N., Kollias A., Kooistra J. A., Li W., McClure J., Koons J., Li X., McCormack T., Koschutnik M., Lichy C., McGarity W., Kostis W. J., Lieber I., McIntyre H., Kovacic D., Rodriguez R. H. L., McLaurin B., Kowalczyk J., Lin H., Alvaro F., Palomino M., Koziolova N., Melandri F., Kraft P., Liu F., Meno H., Kragten J. A., Liu H., Menzies D., Krantz M., Esperon G. L., Mercader M., Krause L., Navarro N. L., Meyer C., Krenning B. J., Lo E., Meyer B. J., Krikke F., Lokshyn S., Miarka J., Kromhout Z., Lopez A., Mibach F., Krysiak W., Lopez-Sendon J. L., Michalski D., Kumar P., Filho A. M. L., Michel P., Kumler T., Lorraine R. S., Chreih R. M., Kuniss M., Luengas C. A., Luengas A., Mikdadi G., Kuo J. -Y., Luke R., Mikus M., Kuppers A., Luo M., Milicic D., Kurrelmeyer K., Lupovitch S., Militaru C., Kwak C. H., Lyrer P., Minaie S., Laboulle B., Ma C., Minescu B., Labovitz A., Ma G., Mintale I., Ter Lai W., Madariaga I., Mirault T., Lam A., Maeno K., Mirro M. J., Lam Y. Y., Magnin D., Mistry D., Lanas Zanetti F., Maid G., Miu N. V., Landau C., Mainigi S. K., Miyamoto N., Landini G., Makaritsis K., Moccetti T., Lanna Figueiredo E., Malhotra R., Mohammed A., Larsen T., Manning R., Nor A. M., Lavandier K., Manolis A., Mollerus M., LeBlanc J., Hurtado H. A. M., Molon G., Lee M. H., Mantas I., Mondillo S., Lee C. -H., Jattin F. M., Moniz P., Lehman J., Maqueda V., Mont L., Leitao A., Marchionni N., Montagud V., Lellouche N., Ortuno F. M., Montana O., Lelonek M., Santana A. M., Monti C., Lenarczyk R., Martinez J., Moretti L., Lenderink T., Maskova P., Mori K., Gonzalez S. L., Hernandez N. M., Moriarty A., Leong-Sit P., Matsuda K., Morka J., Leschke M., Maurer T., Moschini L., Ley N., Mauro C., Moschos N., Li Z., May E., Mugge A., Mayer N., Mulhearn T. J., Muresan C., Jose E. P., Precoma D. B., Muriago M., Padilla F. G. P., Prelle A., Musial W., Rios V. P., Prodafikas J., Musser C. W., Pajes G., Protasov K., Musumeci F., Pandey A. S., Pye M., Nageh T., Paparella G., Qiu Z., Nakagawa H., Paris F., Quedillac J. -M., Nakamura Y., Park H. W., Raev D., Nakayama T., Park J. S., Grado C. A. R., Nam G. -B., Parthenakis F., Rahimi S., Nanna M., Passamonti E., Raisaro A., Natarajan I., Patel R. J., Rama B., Nayak H. M., Patel J., Ramos R., Naydenov S., Patel M., Ranieri M., Nazlic J., Patrick J., Raposo N., Nechita A. C., Jimenez R. P., Rashba E., Nechvatal L., Paz A., Rauch-Kroehnert U., Negron S. A., Pengo V., Reddy R., Neiman J., Pentz W., Renda G., Neuenschwander F. C., Perez B., Reza S., Neves D., Rios A. M. P., Ria L., Neykova A., Perez-Cabezas A., Richter D., Miguel R. N., Perlman R., Rickli H., Nijmeh G., Persic V., Rieker W., Nizov A., Perticone F., Vera T. R., Campos R. N., Peters T. K., Ritt L. E., Nossan J., Petkar S., Roberts D., Novikova T., Pezo L. F., Briones I. R., Nowalany-Kozielska E., Pflucke C., Escudero A. E. R., Nsah E., Pham D. N., Pascual C. R., Fragoso J. C. N., Phillips R. T., Roman M., Nurgalieva S., Phlaum S., Romeo F., Nuyens D., Pieters D., Ronner E., Nyvad O., Pineau J., Roux J. -F., de Los Rios Ibarra M. O., Pinter A., Rozkova N., O'Donnell P., Pinto F., Rubacek M., O'Donnell M., Pisters R., Rubalcava F., Oh S., Pivac N., Russo A. M., Oh Y. S., Pocanic D., Rutgers M. P., Oh D., Podoleanu C., Rybak K., O'Hara G., Politano A., Said S., Oikonomou K., Poljakovic Z., Sakamoto T., Olivares C., Pollock S., Salacata A., Oliver R., Garcea J. P., Salem A., Ruiz R. O., Poppert H., Bodes R. S., Olympios C., Porcu M., Saltzman M. A., Omaszuk-Kazberuk A., Reino A. P., Salvioni A., Asensi J. O., Prasad N., Vallejo G. S., Fernandez M. S., Sokal A., Tu T. M., Saporito W. F., Yan Y. S. O., Tuininga Y., Sarikonda K., Sotolongo R., Turakhia M., Sasaoka T., de Souza O. F., Turk S., Sati H., Sparby J. A., Turner W., Savelieva I., Spinar J., Tveit A., Scala P. -J., Sprigings D., Tytus R., Schellinger P., Spyropoulos A. C., Valadao C., Scherr C., Stakos D., van Bergen P. F. M. M., Schmitz L., Steinwender C., van de Borne P., Schmitz K. -H., Stergiou G., van den Berg B. J., Schmitz B., Stiell I., van der Zwaan C., Schnabel T., Stoddard M., Van Eck M., Schnupp S., Stoikov A., Vanacker P., Schoeniger P., Streb W., Vasilev D., Schon N., Styliadis I., Vasilikos V., Schwimmbeck P., Su G., Vasilyev M., Seamark C., Su X., Veerareddy S., Searles G., Sudnik W., Mino M. V., Seidl K. -H., Sukles K., Venkataraman A., Seidman B., Sun X., Verdecchia P., Sek J., Swart H., Versaci F., Sekaran L., Szavits-Nossan J., Vester E. G., Serrati C., Taggeselle J., Vial H., Shah N., Takagi Y., Victory J., Shah V., Takhar A. P. S., Villamil A., Shah A., Tamm A., Vincent M., Shah S., Tanaka K., Vlastaris A., Sharma V. K., Tanawuttiwat T., Dahl J., Shaw L., Tang S., Vora K., Sheikh K. H., Tang A., Vranian R. B., Shimizu N., Tarsi G., Wakefield P., Shimomura H., Tassinari T., Wang N., Shin D. -G., Tayal A., Wang M., Shin E. -S., Tayebjee M., Wang X., Shite J., Berg J. M., Wang F., Sibilio G., Tesloianu D., Wang T., Silver F., The S. H. K., Warner A. L., Sime I., Thomas D., Watanabe K., Simmers T. A., Timsit S., Wei J., Singh N., Tobaru T., Weimar C., Siostrzonek P., Tomasik A. R., Weiner S., Smadja D., Torosoff M., Weinrich R., Smith D. W., Touze E., Wen M. -S., Snitman M., Trendafilova E., Wiemer M., Filho D. S., Tsai W. K., Wiggers P., Soda H., Tse H. F., Wilke A., Sofley C., Tsutsui H., Williams D., Williams M. L., Yan P. Y. B., Zhang P., Witzenbichler B., Yang T., Zhang J., Wong B., Yao J., Zhao S. P., Wong K. S. L., Yeh K. -H., Zhao Y., Wozakowska-Kaplon B., Yin W. H., Zhao Z., Wu S., Yotov Y., Zheng Y., Wu R. C., Zahn R., Zhou J., Wunderlich S., Zarich S., Zimmermann S., Wyatt N., Zenin S., Zini A., Wylie J., Zeuthen E. L., Zizzo S., Xu Y., Zhang H., Zong W., Xu X., Zhang D., Zukerman L. S., Yamanoue H., Zhang X., Yamashita T., Cardiology, ACS - Heart failure & arrhythmias, Lip G.Y.H., Kotalczyk A., Teutsch C., Diener H.-C., Dubner S.J., Halperin J.L., Ma C.-S., Rothman K.J., Marler S., Gurusamy V.K., Huisman M.V., Abban D.W., Aziz E., Kalan M.B., Abdul N., Backes L.M., Bradman D., Abud A.M., Badings E., Brautigam D., Adams F., Bagni E., Breton N., Addala S., Baker S.H., Brouwers P.J.A.M., Adragao P., Bala R., Browne K., Ageno W., Baldi A., Cortada J.B., Aggarwal R., Bando S., Bruni A., Agosti S., Banerjee S., Brunschwig C., Agostoni P., Bank A., Buathier H., Aguilar F., Esquivias G.B., Buhl A., Linares J.A., Barr C., Bullinga J., Aguinaga L., Bartlett M., Cabrera J.W., Ahmed J., Basic Kes V., Caccavo A., Aiello A., Baula G., Cai S., Ainsworth P., Behrens S., Caine S., Aiub J.R., Bell A., Calo L., Al-Dallow R., Benedetti R., Calvi V., Alderson L., Mazuecos J.B., Sanchez M.C., Velasco J.A.A., Benhalima B., Candeias R., Alexopoulos D., Bergler-Klein J., Capuano V., Manterola F.A., Berneau J.-B., Capucci A., Aliyar P., Bernstein R.A., Caputo R., Alonso D., Berrospi P., Rizo T.C., da Costa F.A.A., Berti S., Cardona F., Amado J., Berz A., da Costa Darrieux F.C., Amara W., Best E., Vera Y.C.D., Amelot M., Bettencourt P., Carolei A., Amjadi N., Betzu R., Carreno S., Ammirati F., Bhagwat R., Carvalho P., Andrade M., Bhatta L., Cary S., Andrawis N., Biscione F., Casu G., Annoni G., Bisignani G., Cavallini C., Ansalone G., Black T., Cayla G., Ariani M.K., Bloch M.J., Celentano A., Arias J.C., Bloom S., Cha T.-J., Armero S., Blumberg E., Cha K.S., Arora C., Bo M., Chae J.K., Aslam M.S., Bohmer E., Chalamidas K., Asselman M., Bollmann A., Challappa K., Audouin P., Bongiorni M.G., Chand S.P., Augenbraun C., Boriani G., Chandrashekar H., Aydin S., Boswijk D.J., Chartier L., Bott J., Chatterjee K., Ayryanova I., Bottacchi E., Ayala C.A.C., Cheema A., Davis G., Evonich R., Davy J.-M., Evseeva O., Chen L., Dayer M., Ezhov A., Chen S.-A., De Biasio M., Fahmy R., Chen J.H., De Bonis S., Fang Q., Chiang F.-T., De Caterina R., Farsad R., Chiarella F., De Franceschi T., Fauchier L., Chih-Chan L., de Groot J.R., Favale S., Cho Y.K., De Horta J., Fayard M., Choi J.-I., De La Briolle A., Fedele J.L., Choi D.J., de la Pena Topete G., Fedele F., Chouinard G., de Paola A.A.V., Fedorishina O., Chow D.H.-F., de Souza W., Fera S.R., Chrysos D., de Veer A., Ferreira L.G.G., Chumakova G., De Wolf L., Ferreira J., Valenzuela E.J.J.R.C., Decoulx E., Ferri C., Nica N.C., Deepak S., Ferrier A., Cislowski D.J., Defaye P., Ferro H., Clay A., Munoz F.D.-C., Finsen A., Clifford P., Brkljacic D.D., First B., Cohen A., Deumite N.J., Fischer S., Cohen M., Di Legge S., Fonseca C., Cohen S., Diemberger I., Almeida L.F., Colivicchi F., Dietz D., Forman S., Collins R., Dionisio P., Frandsen B., Colonna P., Dong Q., French W., Compton S., dos Santos F.R., Friedman K., Connolly D., Dotcheva E., Friese A., Conti A., Doukky R., Fruntelata A.G., Buenostro G.C., D'Souza A., Fujii S., Coodley G., Dubrey S., Fumagalli S., Cooper M., Ducrocq X., Fundamenski M., Coronel J., Dupljakov D., Furukawa Y., Corso G., Duque M., Gabelmann M., Sales J.C., Dutta D., Gabra N., Cottin Y., Duvilla N., Gadsboll N., Covalesky J., Duygun A., Galinier M., Cracan A., Dziewas R., Gammelgaard A., Crea F., Eaton C.B., Ganeshkumar P., Crean P., Eaves W., Gans C., Crenshaw J., Ebels-Tuinbeek L.A., Quintana A.G., Cullen T., Ehrlich C., Gartenlaub O., Darius H., Eichinger-Hasenauer S., Gaspardone A., Dary P., Eisenberg S.J., Genz C., Dascotte O., Jabali A.E., Georger F., Dauber I., Shahawy M.E., Georges J.-L., Davalos V., Hernandes M.E., Georgeson S., Davies R., Izal A.E., Giedrimas E., Gierba M., Haruna T., Jarmukli N., Ortega I.G., Hayek E., Jeanfreau R.J., Gillespie E., Healey J., Jenkins R.D., Giniger A., Hearne S., Sanchez C.J., Giudici M.C., Heffernan M., Jimenez J., Gkotsis A., Heggelund G., Jobe R., Glotzer T.V., Heijmeriks J.A., Joen-Jakobsen T., Gmehling J., Hemels M., Jones N., Gniot J., Hendriks I., Jorge J.C.M., Goethals P., Henein S., Jouve B., Goldbarg S., Her S.-H., Jung B.C., Goldberg R., Hermany P., Jung K.T., Goldmann B., Del Rio J.E.H., Jung W., Golitsyn S., Higashino Y., Kachkovskiy M., Gomez S., Hill M., Kafkala K., Mesa J.G., Hisadome T., Kalinina L., Gonzalez V.B., Hishida E., Kallmunzer B., Hermosillo J.A.G., Hoffer E., Kamali F., Lopez V.M.G., Hoghton M., Kamo T., Gorka H., Hong K., Kampus P., Gornick C., Hong S., Kashou H., Gorog D., Horbach S., Kastrup A., Gottipaty V., Horiuchi M., Katsivas A., Goube P., Hou Y., Kaufman E., Goudevenos I., Hsing J., Kawai K., Graham B., Huang C.-H., Kawajiri K., Greer G.S., Huckins D., Kazmierski J.F., Gremmler U., Hughes K., Keeling P., Grena P.G., Huizinga A., Saraiva J.F.K., Grond M., Hulsman E.L., Ketova G., Gronda E., Hung K.-C., Khaira A.S., Gronefeld G., Hwang G.-S., Khripun A., Gu X., Ikpoh M., Kim D.-I., Torres I.G.T., Imberti D., Kim Y.H., Guardigli G., Ince H., Kim N.H., Guevara C., Indolfi C., Kim D.K., Guignier A., Inoue S., Kim J.S., Gulizia M., Irles D., Gumbley M., Iseki H., Kim K.S., Gunther A., Israel C.N., Kim J., Ha A., Iteld B., Kinova E., Hahalis G., Iyer V., Klein A., Hakas J., Jackson-Voyzey E., Kmetzo J.J., Hall C., Jaffrani N., Kneller G.L., Han B., Jager F., Knezevic A., Han S., James M., Koh S.M.A., Hargrove J., Jang S.-W., Koide S., Hargroves D., Jaramillo N., Kollias A., Kooistra J.A., Li W., McClure J., Koons J., Li X., McCormack T., Koschutnik M., Lichy C., McGarity W., Kostis W.J., Lieber I., McIntyre H., Kovacic D., Rodriguez R.H.L., McLaurin B., Kowalczyk J., Lin H., Alvaro F., Palomino M., Koziolova N., Melandri F., Kraft P., Liu F., Meno H., Kragten J.A., Liu H., Menzies D., Krantz M., Esperon G.L., Mercader M., Krause L., Navarro N.L., Meyer C., Krenning B.J., Lo E., Meyer B.J., Krikke F., Lokshyn S., Miarka J., Kromhout Z., Lopez A., Mibach F., Krysiak W., Lopez-Sendon J.L., Michalski D., Kumar P., Filho A.M.L., Michel P., Kumler T., Lorraine R.S., Chreih R.M., Kuniss M., Luengas C.A., Luengas A., Mikdadi G., Kuo J.-Y., Luke R., Mikus M., Kuppers A., Luo M., Milicic D., Kurrelmeyer K., Lupovitch S., Militaru C., Kwak C.H., Lyrer P., Minaie S., Laboulle B., Ma C., Minescu B., Labovitz A., Ma G., Mintale I., Ter Lai W., Madariaga I., Mirault T., Lam A., Maeno K., Mirro M.J., Lam Y.Y., Magnin D., Mistry D., Lanas Zanetti F., Maid G., Miu N.V., Landau C., Mainigi S.K., Miyamoto N., Landini G., Makaritsis K., Moccetti T., Lanna Figueiredo E., Malhotra R., Mohammed A., Larsen T., Manning R., Nor A.M., Lavandier K., Manolis A., Mollerus M., LeBlanc J., Hurtado H.A.M., Molon G., Lee M.H., Mantas I., Mondillo S., Lee C.-H., Jattin F.M., Moniz P., Lehman J., Maqueda V., Mont L., Leitao A., Marchionni N., Montagud V., Lellouche N., Ortuno F.M., Montana O., Lelonek M., Santana A.M., Monti C., Lenarczyk R., Martinez J., Moretti L., Lenderink T., Maskova P., Mori K., Gonzalez S.L., Hernandez N.M., Moriarty A., Leong-Sit P., Matsuda K., Morka J., Leschke M., Maurer T., Moschini L., Ley N., Mauro C., Moschos N., Li Z., May E., Mugge A., Mayer N., Mulhearn T.J., Muresan C., Jose E.P., Precoma D.B., Muriago M., Padilla F.G.P., Prelle A., Musial W., Rios V.P., Prodafikas J., Musser C.W., Pajes G., Protasov K., Musumeci F., Pandey A.S., Pye M., Nageh T., Paparella G., Qiu Z., Nakagawa H., Paris F., Quedillac J.-M., Nakamura Y., Park H.W., Raev D., Nakayama T., Park J.S., Grado C.A.R., Nam G.-B., Parthenakis F., Rahimi S., Nanna M., Passamonti E., Raisaro A., Natarajan I., Patel R.J., Rama B., Nayak H.M., Patel J., Ramos R., Naydenov S., Patel M., Ranieri M., Nazlic J., Patrick J., Raposo N., Nechita A.C., Jimenez R.P., Rashba E., Nechvatal L., Paz A., Rauch-Kroehnert U., Negron S.A., Pengo V., Reddy R., Neiman J., Pentz W., Renda G., Neuenschwander F.C., Perez B., Reza S., Neves D., Rios A.M.P., Ria L., Neykova A., Perez-Cabezas A., Richter D., Miguel R.N., Perlman R., Rickli H., Nijmeh G., Persic V., Rieker W., Nizov A., Perticone F., Vera T.R., Campos R.N., Peters T.K., Ritt L.E., Nossan J., Petkar S., Roberts D., Novikova T., Pezo L.F., Briones I.R., Nowalany-Kozielska E., Pflucke C., Escudero A.E.R., Nsah E., Pham D.N., Pascual C.R., Fragoso J.C.N., Phillips R.T., Roman M., Nurgalieva S., Phlaum S., Romeo F., Nuyens D., Pieters D., Ronner E., Nyvad O., Pineau J., Roux J.-F., de Los Rios Ibarra M.O., Pinter A., Rozkova N., O'Donnell P., Pinto F., Rubacek M., O'Donnell M., Pisters R., Rubalcava F., Oh S., Pivac N., Russo A.M., Oh Y.S., Pocanic D., Rutgers M.P., Oh D., Podoleanu C., Rybak K., O'Hara G., Politano A., Said S., Oikonomou K., Poljakovic Z., Sakamoto T., Olivares C., Pollock S., Salacata A., Oliver R., Garcea J.P., Salem A., Ruiz R.O., Poppert H., Bodes R.S., Olympios C., Porcu M., Saltzman M.A., Omaszuk-Kazberuk A., Reino A.P., Salvioni A., Asensi J.O., Prasad N., Vallejo G.S., Fernandez M.S., Sokal A., Tu T.M., Saporito W.F., Yan Y.S.O., Tuininga Y., Sarikonda K., Sotolongo R., Turakhia M., Sasaoka T., de Souza O.F., Turk S., Sati H., Sparby J.A., Turner W., Savelieva I., Spinar J., Tveit A., Scala P.-J., Sprigings D., Tytus R., Schellinger P., Spyropoulos A.C., Valadao C., Scherr C., Stakos D., van Bergen P.F.M.M., Schmitz L., Steinwender C., van de Borne P., Schmitz K.-H., Stergiou G., van den Berg B.J., Schmitz B., Stiell I., van der Zwaan C., Schnabel T., Stoddard M., Van Eck M., Schnupp S., Stoikov A., Vanacker P., Schoeniger P., Streb W., Vasilev D., Schon N., Styliadis I., Vasilikos V., Schwimmbeck P., Su G., Vasilyev M., Seamark C., Su X., Veerareddy S., Searles G., Sudnik W., Mino M.V., Seidl K.-H., Sukles K., Venkataraman A., Seidman B., Sun X., Verdecchia P., Sek J., Swart H., Versaci F., Sekaran L., Szavits-Nossan J., Vester E.G., Serrati C., Taggeselle J., Vial H., Shah N., Takagi Y., Victory J., Shah V., Takhar A.P.S., Villamil A., Shah A., Tamm A., Vincent M., Shah S., Tanaka K., Vlastaris A., Sharma V.K., Tanawuttiwat T., Dahl J., Shaw L., Tang S., Vora K., Sheikh K.H., Tang A., Vranian R.B., Shimizu N., Tarsi G., Wakefield P., Shimomura H., Tassinari T., Wang N., Shin D.-G., Tayal A., Wang M., Shin E.-S., Tayebjee M., Wang X., Shite J., Berg J.M., Wang F., Sibilio G., Tesloianu D., Wang T., Silver F., The S.H.K., Warner A.L., Sime I., Thomas D., Watanabe K., Simmers T.A., Timsit S., Wei J., Singh N., Tobaru T., Weimar C., Siostrzonek P., Tomasik A.R., Weiner S., Smadja D., Torosoff M., Weinrich R., Smith D.W., Touze E., Wen M.-S., Snitman M., Trendafilova E., Wiemer M., Filho D.S., Tsai W.K., Wiggers P., Soda H., Tse H.F., Wilke A., Sofley C., Tsutsui H., Williams D., Williams M.L., Yan P.Y.B., Zhang P., Witzenbichler B., Yang T., Zhang J., Wong B., Yao J., Zhao S.P., Wong K.S.L., Yeh K.-H., Zhao Y., Wozakowska-Kaplon B., Yin W.H., Zhao Z., Wu S., Yotov Y., Zheng Y., Wu R.C., Zahn R., Zhou J., Wunderlich S., Zarich S., Zimmermann S., Wyatt N., Zenin S., Zini A., Wylie J., Zeuthen E.L., Zizzo S., Xu Y., Zhang H., Zong W., Xu X., Zhang D., Zukerman L.S., Yamanoue H., Zhang X., and Yamashita T.
Subjects: Apixaban, Atrial fibrillation, Dabigatran, Non-vitamin K antagonists, Rivaroxaban, Pyridones, Medizin, Myocardial Infarction, Administration, Oral, Anticoagulants, Hemorrhage, General Medicine, Non-vitamin K antagonist, Stroke, Clinical Trials, Phase III as Topic, Humans, Prospective Studies, Registries, Cardiology and Cardiovascular Medicine
Abstract: Background and purpose Prospectively collected data comparing the safety and effectiveness of individual non-vitamin K antagonists (NOACs) are lacking. Our objective was to directly compare the effectiveness and safety of NOACs in patients with newly diagnosed atrial fibrillation (AF). Methods In GLORIA-AF, a large, prospective, global registry program, consecutive patients with newly diagnosed AF were followed for 3 years. The comparative analyses for (1) dabigatran vs rivaroxaban or apixaban and (2) rivaroxaban vs apixaban were performed on propensity score (PS)-matched patient sets. Proportional hazards regression was used to estimate hazard ratios (HRs) for outcomes of interest. Results The GLORIA-AF Phase III registry enrolled 21,300 patients between January 2014 and December 2016. Of these, 3839 were prescribed dabigatran, 4015 rivaroxaban and 4505 apixaban, with median ages of 71.0, 71.0, and 73.0 years, respectively. In the PS-matched set, the adjusted HRs and 95% confidence intervals (CIs) for dabigatran vs rivaroxaban were, for stroke: 1.27 (0.79–2.03), major bleeding 0.59 (0.40–0.88), myocardial infarction 0.68 (0.40–1.16), and all-cause death 0.86 (0.67–1.10). For the comparison of dabigatran vs apixaban, in the PS-matched set, the adjusted HRs were, for stroke 1.16 (0.76–1.78), myocardial infarction 0.84 (0.48–1.46), major bleeding 0.98 (0.63–1.52) and all-cause death 1.01 (0.79–1.29). For the comparison of rivaroxaban vs apixaban, in the PS-matched set, the adjusted HRs were, for stroke 0.78 (0.52–1.19), myocardial infarction 0.96 (0.63–1.45), major bleeding 1.54 (1.14–2.08), and all-cause death 0.97 (0.80–1.19). Conclusions Patients treated with dabigatran had a 41% lower risk of major bleeding compared with rivaroxaban, but similar risks of stroke, MI, and death. Relative to apixaban, patients treated with dabigatran had similar risks of stroke, major bleeding, MI, and death. Rivaroxaban relative to apixaban had increased risk for major bleeding, but similar risks for stroke, MI, and death. Registration URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01468701, NCT01671007. Date of registration: September 2013. Graphical abstract
Published: 2022
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6. The Effects of Chemical Composition and Firing Temperature in Heavy Clay Brick Production — Chemometric Approach

Author: Arsenović, M., Stanković, S., Radojević, Z., and Pezo, L.
Published: 2014
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7. Evaluation of tocopherols and tocotrienols in Albanian cultivars

Author: Laze, A., Pasini, F., Arapi, V., Ceca, E., Pezo, L., Gjini, V., Maria Fiorenza Caboni, and Laze, A., Pasini, F., Arapi, V., Ceca, E., Lato, P., Gjini, V., Caboni, M.F.
Subjects: Wheat cultivars, Chemical parameters, Tocopherols, Tocotrienols, Vitamin E
Abstract: Wheat is a major component in the human diet with an impact on nutritional health due to its significant intake. The aim of this study was to evaluate the quality of Albanian wheat by analysing chemical and nutrition parameters and understanding the health impact of the components in wheat flour. Five winter wheat cultivars grown during the year 2017 - 2018 on experimental fields of Agriculture Technology Transfer Center (ATTC) in Lushnja were analysed. Protein content (%N x 5.7) was determined by the Kjedahl method and lipid content was evaluated by Soxhlet extraction method utilizing n-hexane as solvent. The starch content was analyzed following the Megazyme Starch determination procedure (Megazyme International, Ireland, Ltd). The determination of the total content of tocopherols (TP) and tocotrienols (TT) in the five wheat cultivars was carried out using the High Performance Liquid Chromatography (HPLC) analysis. A descriptive statistical analysis was performed for result elaboration. The analysis of variance (ANOVA) and Principal Component Analysis (PCA) was performed using StatSoft Statistica 10.0 software and the significant differences were calculated according to post - hoc Tukey’s (HSD) test at p ˂ 0.05. All cultivars showed higher level of protein content ranging from 11.39% to 12.38% and the starch content ranging from 58% to 62%. Statistical results indicated that the protein content was significantly affected by the wheat cultivars. ɑ-Tocopherol and ß-tocotrienol were the most abundant compounds in all samples, ranging, from 9.8 mg/kg DW to 15.6 mg/kg DW and from 8.1 mg/kg to 12.7 mg/kg DW, respectively. The daily requirement of vitamin E calculated in whole flour ranges from 14.7% to 26%.By selecting the suitable wheat cultivars with high vitamin E content, we can contribute to increasing the content of vitamin E in Albanian wheat flour and supporting the problems of vitamin E deficiency in the human diet.
Published: 2021

8. Anticoagulant selection in relation to the SAMe-TT2R2 score in patients with atrial fibrillation: The GLORIA-AF registry

Author: Ntaios, G., Huisman, M. V., Diener, H. -C., Halperin, J. L., Teutsch, C., Marler, S., Gurusamy, V. K., Thompson, M., Lip, G. Y. H., Olshansky, B., Abban, D. W., Abdul, N., Abud, A. M., Adams, F., Addala, S., Adragao, P., Ageno, W., Aggarwal, R., Agosti, S., Agostoni, P., Aguilar, F., Linares, J. A., Aguinaga, L., Ahmed, J., Aiello, A., Ainsworth, P., Aiub, J. R., Al-Dallow, R., Alderson, L., Aldrete Velasco, J. A., Alexopoulos, D., Manterola, F. A., Aliyar, P., Alonso, D., Alves da Costa, F. A., Amado, J., Amara, W., Amelot, M., Amjadi, N., Ammirati, F., Andrade, M., Andrawis, N., Annoni, G., Ansalone, G., Ariani, M. K., Arias, J. C., Armero, S., Arora, C., Aslam, M. S., Asselman, M., Audouin, P., Augenbraun, C., Aydin, S., Ayryanova, I., Aziz, E., Backes, L. M., Badings, E., Bagni, E., Baker, S. H., Bala, R., Baldi, A., Bando, S., Banerjee, S., Bank, A., Esquivias, G. B., Barr, C., Bartlett, M., Kes, V. B., Baula, G., Behrens, S., Bell, A., Benedetti, R., Mazuecos, J. B., Benhalima, B., Bergler-Klein, J., Berneau, J. -B., Bernstein, R. A., Berrospi, P., Berti, S., Berz, A., Best, E., Bettencourt, P., Betzu, R., Bhagwat, R., Bhatta, L., Biscione, F., Bisignani, G., Black, T., Bloch, M. J., Bloom, S., Blumberg, E., Bo, M., Bohmer, E., Bollmann, A., Bongiorni, M. G., Boriani, G., Boswijk, D. J., Bott, J., Bottacchi, E., Kalan, M. B., Bradman, D., Brautigam, D., Breton, N., Brouwers, P. J. A. M., Browne, K., Cortada, J. B., Bruni, A., Brunschwig, C., Buathier, H., Buhl, A., Bullinga, J., Cabrera, J. W., Caccavo, A., Cai, S., Caine, S., Calo, L., Calvi, V., Sanchez, M. C., Candeias, R., Capuano, V., Capucci, A., Caputo, R., Rizo, T. C., Cardona, F., Carlos da Costa Darrieux, F., Duarte Vera, Y. C., Carolei, A., Carreno, S., Carvalho, P., Cary, S., Casu, G., Cavallini, C., Cayla, G., Celentano, A., Cha, T. -J., Cha, K. S., Chae, J. K., Chalamidas, K., Challappa, K., Chand, S. P., Chandrashekar, H., Chartier, L., Chatterjee, K., Chavez Ayala, C. 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J., Di Legge, S., Diemberger, I., Dietz, D., Dionisio, P., Dong, Q., Rossi dos Santos, F., Dotcheva, E., Doukky, R., D'Souza, A., Dubrey, S., Ducrocq, X., Dupljakov, D., Duque, M., Dutta, D., Duvilla, N., Duygun, A., Dziewas, R., Eaton, C. B., Eaves, W., Ebels-Tuinbeek, L. A., Ehrlich, C., Eichinger-Hasenauer, S., Eisenberg, S. J., El Jabali, A., El Shahawy, M., Hernandes, M. E., Izal, A. E., Evonich, R., Evseeva, O., Ezhov, A., Fahmy, R., Fang, Q., Farsad, R., Fauchier, L., Favale, S., Fayard, M., Fedele, J. L., Fedele, F., Fedorishina, O., Fera, S. R., Gomes Ferreira, L. G., Ferreira, J., Ferri, C., Ferrier, A., Ferro, H., Finsen, A., First, B., Fischer, S., Fonseca, C., Almeida, L. F., Forman, S., Frandsen, B., French, W., Friedman, K., Friese, A., Fruntelata, A. G., Fujii, S., Fumagalli, S., Fundamenski, M., Furukawa, Y., Gabelmann, M., Gabra, N., Gadsboll, N., Galinier, M., Gammelgaard, A., Ganeshkumar, P., Gans, C., Quintana, A. 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A., Spinar, J., Sprigings, D., Spyropoulos, A. C., Stakos, D., Steinwender, C., Stergiou, G., Stiell, I., Stoddard, M., Stoikov, A., Streb, W., Styliadis, I., Su, G., Su, X., Sudnik, W., Sukles, K., Sun, X., Swart, H., Szavits-Nossan, J., Taggeselle, J., Takagi, Y., Singh Takhar, A. P., Tamm, A., Tanaka, K., Tanawuttiwat, T., Tang, S., Tang, A., Tarsi, G., Tassinari, T., Tayal, A., Tayebjee, M., Berg, J. M. T., Tesloianu, D., The, S. H. K., Thomas, D., Timsit, S., Tobaru, T., Tomasik, A. R., Torosoff, M., Touze, E., Trendafilova, E., Tsai, W. K., Tse, H. F., Tsutsui, H., Tu, T. M., Tuininga, Y., Turakhia, M., Turk, S., Tcurner, W., Tveit, A., Tytus, R., Valadao, C., van Bergen, P. F. M. M., van de Borne, P., van den Berg, B. J., van der Zwaan, C., Van Eck, M., Vanacker, P., Vasilev, D., Vasilikos, V., Vasilyev, M., Veerareddy, S., Mino, M. V., Venkataraman, A., Verdecchia, P., Versaci, F., Vester, E. G., Vial, H., Victory, J., Villamil, A., Vincent, M., Vlastaris, A., Dahl, J. 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R., Roman, M., Romeo, F., Ronner, E., Roux, J. -F., Rozkova, N., Rubacek, M., Rubalcava, F., Russo, A. M., Rutgers, M. P., Rybak, K., Said, S., Sakamoto, T., Salacata, A., Salem, A., Bodes, R. S., Saltzman, M. A., Salvioni, A., Vallejo, G. S., Fernandez, M. S., Saporito, W. F., Sarikonda, K., Sasaoka, T., Sati, H., Savelieva, I., Scala, P. -J., Schellinger, P., Scherr, C., Schmitz, L., Schmitz, K. -H., Schmitz, B., Schnabel, T., Schnupp, S., Schoeniger, P., Schon, N., Schwimmbeck, P., Seamark, C., Searles, G., Seidl, K. -H., Seidman, B., Sek, J., Sekaran, L., Serrati, C., Shah, N., Shah, V., Shah, A., Shah, S., Sharma, V. K., Shaw, L., Sheikh, K. H., Shimizu, N., Shimomura, H., Shin, D. -G., Shin, E. -S., Shite, J., Sibilio, G., Silver, F., Sime, I., Simmers, T. A., Singh, N., Siostrzonek, P., Smadja, D., Smith, D. W., Snitman, M., Filho, D. S., Soda, H., Sofley, C., Sokal, A., Oi Yan, Y. S., Sotolongo, R., Ferreira de Souza, O., Sparby, J. A., Spinar, J., Sprigings, D., Spyropoulos, A. C., Stakos, D., Steinwender, C., Stergiou, G., Stiell, I., Stoddard, M., Stoikov, A., Streb, W., Styliadis, I., Su, G., Su, X., Sudnik, W., Sukles, K., Sun, X., Swart, H., Szavits-Nossan, J., Taggeselle, J., Takagi, Y., Singh Takhar, A. P., Tamm, A., Tanaka, K., Tanawuttiwat, T., Tang, S., Tang, A., Tarsi, G., Tassinari, T., Tayal, A., Tayebjee, M., Berg, J. M. T., Tesloianu, D., The, S. H. K., Thomas, D., Timsit, S., Tobaru, T., Tomasik, A. R., Torosoff, M., Touze, E., Trendafilova, E., Tsai, W. K., Tse, H. F., Tsutsui, H., Tu, T. M., Tuininga, Y., Turakhia, M., Turk, S., Tcurner, W., Tveit, A., Tytus, R., Valadao, C., van Bergen, P. F. M. M., van de Borne, P., van den Berg, B. J., van der Zwaan, C., Van Eck, M., Vanacker, P., Vasilev, D., Vasilikos, V., Vasilyev, M., Veerareddy, S., Mino, M. V., Venkataraman, A., Verdecchia, P., Versaci, F., Vester, E. G., Vial, H., Victory, J., Villamil, A., Vincent, M., Vlastaris, A., Dahl, J. V., Vora, K., Vranian, R. B., Wakefield, P., Wang, N., Wang, M., Wang, X., Wang, F., Wang, T., Warner, A. L., Watanabe, K., Wei, J., Weimar, C., Weiner, S., Weinrich, R., Wen, M. -S., Wiemer, M., Wiggers, P., Wilke, A., Williams, D., Williams, M. L., Witzenbichler, B., Wong, B., Lawrence Wong, K. S., Wozakowska-Kaplon, B., Wu, S., Wu, R. C., Wunderlich, S., Wyatt, N., Wylie, J. J., Xu, Y., Xu, X., Yamanoue, H., Yamashita, T., Bryan Yan, P. Y., Yang, T., Yao, J., Yeh, K. -H., Yin, W. H., Yotov, Y., Zahn, R., Zarich, S., Zenin, S., Zeuthen, E. L., Zhang, H., Zhang, D., Zhang, X., Zhang, P., Zhang, J., Zhao, S. P., Zhao, Y., Zhao, Z., Zheng, Y., Zhou, J., Zimmermann, S., Zini, A., Zizzo, S., Zong, W., Zukerman, L. S., and Crea F. (ORCID:0000-0001-9404-8846)
Abstract: Aim: The SAMe-TT2R2 score helps identify patients with atrial fibrillation (AF) likely to have poor anticoagulation control during anticoagulation with vitamin K antagonists (VKA) and those with scores >2 might be better managed with a target-specific oral anticoagulant (NOAC). We hypothesized that in clinical practice, VKAs may be prescribed less frequently to patients with AF and SAMe-TT2R2 scores >2 than to patients with lower scores. Methods and results: We analyzed the Phase III dataset of the Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation (GLORIA-AF), a large, global, prospective global registry of patients with newly diagnosed AF and ≥1 stroke risk factor. We compared baseline clinical characteristics and antithrombotic prescriptions to determine the probability of the VKA prescription among anticoagulated patients with the baseline SAMe-TT2R2 score >2 and ≤ 2. Among 17,465 anticoagulated patients with AF, 4,828 (27.6%) patients were prescribed VKA and 12,637 (72.4%) patients an NOAC: 11,884 (68.0%) patients had SAMe-TT2R2 scores 0-2 and 5,581 (32.0%) patients had scores >2. The proportion of patients prescribed VKA was 28.0% among patients with SAMe-TT2R2 scores >2 and 27.5% in those with scores ≤2. Conclusions: The lack of a clear association between the SAMe-TT2R2 score and anticoagulant selection may be attributed to the relative efficacy and safety profiles between NOACs and VKAs as well as to the absence of trial evidence that an SAMe-TT2R2-guided strategy for the selection of the type of anticoagulation in NVAF patients has an impact on clinical outcomes of efficacy and safety. The latter hypothesis is currently being tested in a randomized controlled trial. Clinical trial registration: URL: https://www.clinicaltrials.gov//Unique identifier: NCT01937377, NCT01468701, and NCT01671007.
Published: 2021

9. Antioxidant activity according to bioactive compounds content in dried pumpkin waste

Author: Stajčić Slađana M., Pezo Lato L., Ćetković Gordana S., Čanadanović-Brunet Jasna M., Mandić Anamarija I., Tumbas-Šaponjac Vesna T., Vulić Jelena J., Travičić Vanja N., and Belović Miona M.
Subjects: cucurbita moschata, carotenoids, polyphenols, antioxidants, artificial neural network, Chemistry, QD1-999
Abstract: In this study freeze-drying and oven-drying (at 50 and 65 °C) were applied for the preparation of dried pumpkin waste. The effect of drying methods on physical properties (moisture content, water activity, hygroscopicity, water solubility, bulk and tapped density, flowability and colour), content of bioactive compounds (carotenoids and phenolics) and antioxidant activity were investigated. Also, the influence of one-year storage at –20 °C on the bioactive compounds content and the antioxidant activity of dried pumpkin waste was examined. Results indicated that drying method showed a significant impact on the investigated characteristics. Bioactive compounds content and antioxidant activity by DPPH test of freeze-dried were higher than of oven-dried pumpkin waste, while higher antioxidant activity in reducing power assay was determined by oven-dried pumpkin waste. An artificial neural network model was developed, for the anticipation of antioxidant activity according to bioactive compounds content (phenolics and carotenoids), in oven-dried (at 50 and 65 °C) and in freeze-dried pumpkin waste after one-year storage. These models showed good prediction properties (the r2 value during training cycle for output variables was 0.999). It was demonstrated that pumpkin waste is potentially an important source of bioactive compounds, which can be used after extraction in suitable forms in the development of functional food products.
Published: 2024
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10. Molecular Identification and Characterisation of Aspergillus Flavus Isolates Originating from Serbian Wheat Grains

Author: Krulj, J., primary, Ćurčıć, N., additional, Stančıć, A. Bočarov, additional, Kojıć, J., additional, Pezo, L., additional, Tukuljac, L. Peıć, additional, and Solarov, M. Bodroža, additional
Published: 2020
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11. The Changing Landscape for Stroke Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Author: Huisman, M. V., Rothman, K. J., Paquette, M., Teutsch, C., Diener, H. -C., Dubner, S. J., Halperin, J. L., C. S., Ma, Zint, K., Elsaesser, A., Bartels, D. B., Lip, G. Y. H., Abban, D., Abdul, N., Abelson, M., Ackermann, A., Adams, F., Adams, L., Adragao, P., Ageno, W., Aggarwal, R., Agosti, S., Marin, J. A., Aguilar, F., Aguilar Linares, J. A., Aguinaga, L., Ahmad, Z., Ainsworth, P., Al Ghalayini, K., Al Ismail, S., Alasfar, A., Alawwa, A., Al-Dallow, R., Alderson, L., Alexopoulos, D., Ali, A., Ali, M., Aliyar, P., Al-Joundi, T., Al Mahameed, S., Almassi, H., Almuti, K., Al-Obaidi, M., Alshehri, M., Altmann, U., Alves, A. R., Al-Zoebi, A., Amara, W., Amelot, M., Amjadi, N., Ammirati, F., Andrawis, N., Angoulvant, D., Annoni, G., Ansalone, G., Antonescu, S. A., Ariani, M., Arias, J. C., Armero, S., Arora, R., Arora, C., Ashcraft, W., Aslam, M. S., Astesiano, A., Audouin, P., Augenbraun, C., Aydin, S., Azar, R., Azim, A., Aziz, S., Backes, L. M., Baig, M., Bains, S., Bakbak, A., Baker, S., Bakhtiar, K., Bala, R., Banayan, J., Bandh, S., Bando, S., Banerjee, S., Bank, A., Barbarash, O., Baron, G., Barr, C., Barrera, C., Barton, J., Kes, V. B., Baula, G., Bayeh, H., Bazargani, N., Behrens, S., Bell, A., Benezet-Mazuecos, J., Benhalima, B., Berdague, P., Berg van den, B. J., Bergen van, P. F. M. M., Berngard, E., Bernstein, R., Berrospi, P., Berti, S., Bertomeu, V., Berz, A., Bettencourt, P., Betzu, R., Beyer-Westendorf, J., Bhagwat, R., Black, T., Blanco Ibaceta, J. H., Bloom, S., Blumberg, E., Bo, M., Bockisch, V., Bohmer, E., Bongiorni, M. G., Boriani, G., Bosch, R., Boswijk, D. J., Bott, J., Bottacchi, E., Kalan, M. B., Brandes, A., Bratland, B., Brautigam, D., Breton, N., Brouwers, P. J. A. M., Browne, K., Bruguera, J., Brunehaut, M., Brunschwig, C., Buathier, H., Buhl, A., Bullinga, J., Butcher, K., Cabrera Honorio, J. W., Caccavo, A., Cadinot, D., Cai, S., Calvi, V., Camm, J., Candeias, R., Capo, J., Capucci, A., Cardoso, J. N., Duarte Vera, Y. C., Carlson, B., Carvalho, P., Cary, S., Casanova, R., Casu, G., Cattan, S., Cavallini, C., Cayla, G., Cha, T. J., Cha, K. S., Chaaban, S., Chae, J. K., Challappa, K., Chand, S., Chandrashekar, H., Chang, M., Charbel, P., Chartier, L., Chatterjee, K., Cheema, A., Chen, S. -A., Chevallereau, P., Chiang, F. -T., Chiarella, F., Chih-Chan, L., Cho, Y. K., Choi, D. J., Chouinard, G., Danny, Chow, H. F., Chrysos, D., Chumakova, G., Jose Roberto Chuquiure Valenzuela, E. J., Cieza-Lara, T., Nica, V. C., Ciobotaru, V., Cislowski, D., Citerne, O., Claus, M., Clay, A., Clifford, P., Cohen, S., Cohen, A., Colivicchi, F., Collins, R., Compton, S., Connors, S., Conti, A., Buenostro, G. C., Coodley, G., Cooper, M., Corbett, L., Corey, O., Coronel, J., Corrigan, J., Cotrina Pereyra, R. Y., Cottin, Y., Coutu, B., Cracan, A., Crean, P., Crenshaw, J., Crijns, H. J. G. M., Crump, C., Cucher, F., Cudmore, D., Cui, L., Culp, J., Darius, H., Dary, P., Dascotte, O., Dauber, I., Davee, T., Davies, R., Davis, G., Davy, J. -M., Dayer, M., De La Briolle, A., de Mora, M., De Teresa, E., De Wolf, L., Decoulx, E., Deepak, S., Defaye, P., Del-Carpio Munoz, F., Brkljacic, D. D., Deluche, L., Destrac, S., Deumite, N. J., Di Legge, S., Dibon, O., Diemberger, I., Dillinger, J., Dionisio, P., Naydenov, S., Dotani, I., Dotcheva, E., D'Souza, A., Dubrey, S., Ducrocq, X., Dupljakov, D., Duthinh, V., Dutra, O. P., Dutta, D., Duvilla, N., Dy, J., Dziewas, R., Eaton, C., Eaves, W., Ebinger, M., Eck van, J. W. 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O, Dutta, D, Duvilla, N, Dy, J, Dziewas, R, Eaton, C, Eaves, W, Ebinger, M, Eck van, J, Edwards, T, Egocheaga, I, Ehrlich, C, Eisenberg, S, El Hallak, A, El Jabali, A, El Mahmoud, R, El Shahawy, M, Eldadah, Z, Elghelbazouri, F, Elhag, O, El Hamdani, M, Elias, D, Ellery, A, El Sayed, H, Elvan, A, Erickson, B, Espaliat, E, Essandoh, L, Everington, T, Evonich, R, Ezhov, A, Fácila, L, Farsad, R, Fayard, M, Fedele, F, Gomes Ferreira, L, Ferreira, D, Santos, J, Ferrier, A, Finsen, A, First, B, Fisher, R, Floyd, J, Folk, T, Fonseca, C, Fonseca, L, Forman, S, Forsgren, M, Foster, M, Foster, N, Frais, M, Frandsen, B, Frappé, T, Freixa, R, French, W, Freydlin, M, Frickel, S, Fruntelata, A, Fujii, S, Fujino, Y, Fukunaga, H, Furukawa, Y, Gabelmann, M, Gabris, M, Gadsbøll, N, Galin, P, Galinier, M, Ganim, R, Garcia, R, Quintana, A, Gartenlaub, O, Genz, C, Georger, F, Georges, J, Georgeson, S, Ghanbasha, A, Giedrimas, E, Gierba, M, Gillespie, E, Giniger, A, Gkotsis, A, Gmehling, J, Gniot, J, Goethals, P, Goldberg, R, Goldmann, B, Goldscher, D, Golitsyn, S, Gomez Lopez, E, Gomez Mesa, J, Gonzalez, E, Cocina, E, Juanatey, C, Gorbunov, V, Gordon, B, Gorka, H, Gornick, C, Gorog, D, Goss, F, Götte, A, Goube, P, Goudevenos, I, Goulden, D, Graham, B, Grande, A, Greco, C, Green, M, Greer, G, Gremmler, U, Grena, P, Grinshstein, Y, Grond, M, Gronda, E, Grondin, F, Grönefeld, G, Groot de, J, Guardigli, G, Guarnieri, T, Caiedo, C, Guignier, A, Gulizia, M, Gumbley, M, Gupta, D, Hack, T, Haerer, W, Hakas, J, Hall, C, Hampsey, J, Hananis, G, Hanbali, B, Handel, F, Hargrove, J, Hargroves, D, Harris, K, Hartley, D, Haruna, T, Hata, Y, Hayek, E, Healey, J, Hearne, S, Heggelund, G, Hemels, M, Hemery, Y, Henein, S, Henz, B, Her, S, Hermany, P, Hernandes, M, Higashino, Y, Hill, M, Hisadome, T, Hishida, E, Hitchcock, J, Hoffer, E, Hoghton, M, Holmes, C, Hong, S, Houppe Nousse, M, Howard, V, Hsu, L, Huang, C, Huckins, D, Huehnergarth, K, Huizenga, A, Huntley, R, Hussein, G, Hwang, G, Igbokidi, O, Iglesias, I, Ikpoh, M, Imberti, D, Ince, H, Indolfi, C, Ionova, T, Ip, J, Irles, D, Iseki, H, Ismail, Y, Israel, N, Isserman, S, Iteld, B, Ivanchura, G, Iyer, R, Iyer, V, Iza Villanueva, R, Jackson Voyzey, E, Jaffrani, N, Jäger, F, Jain, M, James, M, Jamon, Y, Jang, S, Pereira Jardim, C, Jarmukli, N, Jeanfreau, R, Jenkins, R, Jiang, X, Jiang, H, Jiang, T, Jiang, N, Jimenez, J, Jobe, R, Joffe, I, Johansson, B, Jones, N, Moura Jorge, J, Jouve, B, Jundi, M, Jung, W, Jung, B, Jung, K, Kabbani, S, Kabour, A, Kafkala, C, Kajiwara, K, Kalinina, L, Kampus, P, Kanda, J, Kapadia, S, Karim, A, Karolyi, L, Kashou, H, Kastrup, A, Katsivas, A, Kaufman, E, Kawai, K, Kawajiri, K, Kazmierski, J, Keeling, P, Kerfes, G, Kerr Saraiva, J, Ketova, G, Khaira, A, Khalid, M, Khludeeva, E, Khripun, A, Kim, D, Kim, N, Kim, K, Kim, Y, Kim, J, Kinova, E, Klein, A, Kleinschnitz, C, Kmetzo, J, Kneller, G, Knezevic, A, Koch, S, Koenig, K, Angela Koh, S, Köhrmann, M, Koons, J, Korabathina, R, Korennova, O, Koschutnik, M, Kosinski, E, Kovacic, D, Kowalczyk, J, Koziolova, N, Kragten, J, Krause, L, Kreidieh, I, Krenning, B, Krishnaswamy, K, Krysiak, W, Kuck, K, Kumar, S, Kümler, T, Kuniss, M, Kuo, J, Küppers, A, Kurrelmeyer, K, Kwan, T, Kyo, E, Labovitz, A, Lacroix, A, Lam, A, Lanas Zanetti, F, Landau, C, Landini, G, Lang, W, Larsen, T, Laske, V, Lavandier, K, Law, N, Lee, M, Lee, D, Leitão, A, Lejay, D, Lelonek, M, Lenarczyk, R, Leprince, P, Lequeux, B, Leschke, M, Ley, N, Li, Z, Li, Y, Li, X, Li, W, Liang, J, Lieber, I, Lillestol, M, Limon Rodriguez, R, Lin, H, Litchfield, J, Liu, Z, Liu, X, Liu, Y, Liu, F, Liu, W, Llamas Esperon, G, Llisterri, J, Lo, T, Lo, E, Lobos, J, Lodde, B, Loiselet, P, López Sendón, J, Lorga Filho, A, Lori, I, Luo, M, Lupovitch, S, Lyrer, P, Zuhairy, H, Ma, G, Ma, H, Madariaga, I, Maeno, K, Magnin, D, Mahmood, S, Mahood, K, Maid, G, Mainigi, S, Makaritsis, K, Maldonado Villalon, J, Malhotra, R, Malik, A, Mallecourt, C, Mallik, R, Manning, R, Manolis, A, Mantas, I, Manzur Jattin, F, Marcionni, N, Marín, F, Santana, A, Martinez, J, Martinez, L, Maskova, P, Hernández, N, Matskeplishvili, S, Matsuda, K, Mavri, A, May, E, Mayer, N, Mazon, P, Mcclure, J, Mccormack, T, Mcgarity, W, Mcguire, M, Mcintyre, H, Mclaughlin, P, Mclaurin, B, Medina Palomino, F, Mehta, P, Mehzad, R, Meinel, A, Melandri, F, Mena, A, Meno, H, Menzies, D, Metcalf, K, Meyer, B, Miarka, J, Mibach, F, Michalski, D, Michel, P, Chreih, R, Mikdadi, G, Mikhail, M, Mikus, M, Milicic, D, Militaru, C, Miller, G, Milonas, C, Minescu, B, Mintale, I, Miralles, A, Mirault, T, Mistry, D, Mitchell, G, Miu, N, Miyamoto, N, Moccetti, T, Mohammed, A, Nor, A, Molina de Salazar, D, Molon, G, Molony, D, Mondillo, S, Mont, L, Moodley, R, Moore, R, Ribeiro Moreira, D, Mori, K, Moriarty, A, Morka, J, Moschos, N, Mota Gomes, M, Mousallem, N, Moya, A, Mügge, A, Mulhearn, T, Muller, J, Muresan, C, Muse, D, Musial, W, Musumeci, F, Nadar, V, Nageh, T, Nair, P, Nakagawa, H, Nakamura, Y, Nakayama, T, Nam, K, Napalkov, D, Natarajan, I, Nayak, H, Nechvatal, L, Neiman, J, Nerheim, P, Neuenschwander, F, Nishida, K, Nizov, A, Novikova, T, Novo, S, Nowalany Kozielska, E, Nsah, E, Nunez Fragoso, J, Nyvad, O, de Los Rios Ibarra, M, O'Donnell, M, O'Donnell, P, Oh, D, Oh, Y, Daniel Oh, C, O'Hara, G, Oikonomou, K, Olalla, J, Olivari, Z, Oliver, R, Olympios, C, Osborne, J, Osca, J, Osman, R, Osunkoya, A, Padanilam, B, Panchenko, E, Pandey, A, Vicenzo de Paola, A, Paraschos, A, Pardell, H, Park, H, Park, J, Parkash, R, Parker, I, Parrens, E, Parris, R, Passamonti, E, Patel, J, Patel, R, Pentz, W, Persic, V, Perticone, F, Peters, P, Petkar, S, Pezo, L, Pham, D, Cao Phai, G, Phlaum, S, Pineau, J, Pineda Velez, A, Pini, R, Pinter, A, Pinto, F, Pirelli, S, Pivac, N, Pizzini, A, Pocanic, D, Calin Podoleanu, C, Polanczyk, C, Polasek, P, Poljakovic, Z, Pollock, S, Polo, J, Poock, J, Poppert, H, Porro, Y, Pose, A, Poulain, F, Poulard, J, Pouzar, J, Povolny, P, Pozzer, D, Pras, A, Prasad, N, Prevot, S, Protasov, K, Prunier, L, Puleo, J, Pye, M, Qaddoura, F, Quedillac, J, Raev, D, Rahimi, S, Raisaro, A, Rama, B, Ranadive, N, Randall, K, Ranjith, N, Raposo, N, Rashid, H, Raters, C, Rauch Kroehnert, U, Rebane, T, Regner, S, Renzi, M, Reyes Rocha, M, Reza, S, Ria, L, Richter, D, Rickli, H, Rickner, K, Rieker, W, Rigo, F, Ripoll, T, Fonteles Ritt, L, Roberts, D, Pascual, C, Briones, I, Reyes, H, Roelke, M, Roman, M, Romeo, F, Ronner, E, Ronziere, T, Rooyer, F, Rosenbaum, D, Roth, S, Rozkova, N, Rubacek, M, Rubalcava, F, Rubanenko, O, Rubin, A, Borret, M, Rybak, K, Sabbour, H, Morales, O, Sakai, T, Salacata, A, Salecker, I, Salem, A, Salfity, M, Salguero, R, Salvioni, A, Samson, M, Sanchez, G, Sandesara, C, Saporito, W, Sasaoka, T, Sattar, P, Savard, D, Scala, P, Scemama, J, Schaupp, T, Schellinger, P, Scherr, C, Schmitz, K, Schmitz, B, Schmitz, L, Schnitzler, R, Schnupp, S, Schoeniger, P, Schön, N, Schuster, S, Schwimmbeck, P, Seamark, C, Seebass, R, Seidl, K, Seidman, B, Sek, J, Sekaran, L, Seko, Y, Sepulveda Varela, P, Sevilla, B, Shah, V, Shah, A, Shah, N, Shanes, J, Sharareh, A, Sharma, V, Shaw, L, Shimizu, Y, Shimomura, H, Shin, D, Shin, E, Shite, J, Shoukfeh, M, Shoultz, C, Silver, F, Sime, I, Simmers, T, Singal, D, Singh, N, Siostrzonek, P, Sirajuddin, M, Skeppholm, M, Smadja, D, Smith, R, Smith, D, Soda, H, Sofley, C, Sokal, A, Sotolongo, R, de Souza, O, Sparby, J, Spinar, J, Sprigings, D, Spyropoulos, A, Stakos, D, Steinberg, A, Steinwender, C, Stergiou, G, Stites, H, Stoikov, A, Strasser, R, Streb, W, Styliadis, I, Su, G, Su, X, Suarez, R, Sudnik, W, Sueyoshi, A, Sukles, K, Sun, L, Suneja, R, Svensson, P, Ziekenhuis, A, Szavits Nossan, J, Taggeselle, J, Takagi, Y, Takhar, A, Tallet, J, Tamm, A, Tanaka, S, Tanaka, K, Tang, A, Tang, S, Tassinari, T, Tayama, S, Tayebjee, M, Tebbe, U, Teixeira, J, Tesloianu, D, Tessier, P, The, S, Thevenin, J, Thomas, H, Timsit, S, Topkis, R, Torosoff, M, Touze, E, Traissac, T, Trendafilova, E, Troyan, B, Tsai, W, Tse, H, Tsutsui, H, Tsutsui, T, Tuininga, Y, Turakhia, M, Turk, S, Turner, W, Tveit, A, Twiddy, S, Tytus, R, Ukrainski, G, Valdovinos Chavez, S, Van De Graaff, E, Vanacker, P, Vardas, P, Vargas, M, Vassilikos, V, Vazquez, J, Venkataraman, A, Verdecchia, P, Vester, E, Vial, H, Vinereanu, D, Vlastaris, A, Vogel, C, vom Dahl, J, von Mering, M, Vora, K, Wakefield, P, Walia, J, Walter, T, Wang, M, Wang, N, Wang, F, Wang, X, Wang, Z, Wang, K, Watanabe, K, Wei, J, Weimar, C, Weinrich, R, Wen, M, Wheelan, K, Wicke, J, Wiemer, M, Wild, B, Wilke, A, Willems, S, Williams, M, Williams, D, Winkler, A, Wirtz, J, Witzenbichler, B, Wong, D, Lawrence Wong, K, Wong, B, Wozakowska Kaplon, B, Wu, Z, Wu, S, Wyatt, N, Xu, Y, Xu, X, Yamada, A, Yamamoto, K, Yamanoue, H, Yamashita, T, Bryan Yan, P, Yang, Y, Yang, T, Yao, J, Yarlagadda, C, Yeh, K, Yotov, Y, Yvorra, S, Zahn, R, Zamorano, J, Zanini, R, Zarich, S, Zebrack, J, Zenin, S, Zeuthen, E, Zhang, X, Zhang, Q, Zhang, D, Zhang, H, Zhao, S, Zhao, X, Zheng, Y, Zheng, Q, Zhou, J, Zimmermann, S, Zimmermann, R, Zukerman, L, and Zwaan van der, C
Subjects: Male, oral anticoagulation, Internationality, Middle Aged, registry, Antithrombins, Dabigatran, Stroke, Cross-Sectional Studies, Fibrinolytic Agents, Humans, Female, atrial fibrillation, Prospective Studies, Registries, Cardiology and Cardiovascular Medicine, Aged, Atrial Fibrillation
Abstract: Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non–vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase 1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients’ baseline characteristics. Atrial fibrillation disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score ≥2; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc = 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N = 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients received NOAC, VKA, and antiplatelet drugs, respectively; 7.5% received no antithrombotic treatment. NOAC use was less common in Asia (27.7%), where 27.5% of patients received VKA, 25.0% antiplatelet drugs, and 19.8% no antithrombotic treatment. Conclusions The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in Asia and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701)
Published: 2017

12. Shellac resin effect on the properties of zein film

Author: Šuput Danijela, Popović Senka, Hromiš Nevena, Pantić Jovana, Lončar Biljana, and Pezo Lato
Subjects: shellac resin, zein film, properties, Agriculture
Abstract: In this paper, zein-based films with the addition of shellac were synthesized by lamination on the existing dry zein film (L samples) and by adding shellac alcohol solution during the synthesis of zein film in a ratio of 50-50 by casting process (M samples). Zein films without the addition of shellac were designated as control samples. Physico-chemical (thickness, moisture content and solubility), mechanical (tensile strength and elongation at break) and barrier characteristics (water vapor permeability) were examined for all samples. The resulting films were transparent, glossy, light yellow (control) to ocher (samples with shellac), flexible, and non-sticky. The results showed significantly higher values of elongation at the break of the samples with shellac (11.49% for M and 18.99% for L) compared to the control (7.14%). Significantly lower water vapor permeability values were found, 10.04 g/(m²ꞏh) for L, and 18.41 g/(m²ꞏ h) for M, compared to the control pure zein film (40.33 g/(m² ꞏh)).
Published: 2023
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13. Application of artificial neural networks in performance prediction of cement mortars with various mineral additives

Author: Terzić Anja, Pezo Milada, and Pezo Lato
Subjects: masonry cements, high-temperature cements, industrial byproducts, low-cost primary raw materials, circular economy, Chemical technology, TP1-1185
Abstract: The machine learning technique for prediction and optimization of building material performances became an essential feature in the contemporary civil engineering. The Artificial Neural Network (ANN) prognosis of mortar behavior was conducted in this study. The model appraised the design and characteristics of seventeen either building or high-temperature mortars. Seven different cement types were employed. Seventeen mineral additives of primary and secondary origin were embedded in the mortar mixtures. Cluster Analysis and Principal Component Analysis designated groups of similar mortars assigning them a specific purpose based on monitored characteristics. ANN foresaw the quality of designed mortars. The impact of implemented raw materials on the mortar quality was assessed and evaluated. ANN outputs highlighted the high suitability level of anticipation, i.e., 0.999 during the training period, which is regarded appropriate enough to correctly predict the observed outputs in a wide range of processing parameters. Due to the high predictive accuracy, ANN can replace or be used in combination with standard destructive tests thereby saving the construction industry time, resources, and capital. Good performances of altered cement mortars are positive sign for widening of economical mineral additives application in building materials and making progress towards achieved carbon neutrality by reducing its emission.
Published: 2023
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14. INFLUENCE OF EXTRUDED CAMELINA SEED AND NATURAL COLOURANTS ADDITION IN LAYING HENS DIET ON EGGS YOLK COLOUR AND FATTY ACID COMPOSITION.

Author: Spasevski, N., Peuli&#263, T., Banjac, V., Čolovi&#263, R., Pezo, L., Rakita, S., Puvača, N., Koki&#263, B., Đuragi&#263, O., and Basi&#263, Z.
Subjects: EGG yolk, HENS, FATTY acids, ANIMAL nutrition, CAMELINA, COLOR of plants
Abstract: The aim of this study was to investigate the effects of inclusion of camelina-corn meal co-extrudate (CCM) and natural pigments in hen's diet on colour, fatty acid composition and total tocopherols content of eggs. One hundred and twenty Lohmann Brown laying hens were fed with corn-soybean meal based diet with addition of CCM at different levels: 0% (control K1 and K2), 16.60% (C1) and 27.60% (C2). Control treatments were different in the amount of fat and content of pigments. Control treatment K1 contains 3% fat with no pigments added, while control treatment K2 contains 5% fat with the addition of synthetic pigments. Treatments C1 and C2, which contained 1% carrots and 0.5% paprika, achieved desirable colour, demanded by consumers, 12.67 and 13.28 RYCF (Roche Yolk Colour Fan), respectively. Eggs from hens fed with CCM had significantly higher level (p=0.001) of a-linolenic (3.89% for C1 and 4.29% for C2), docosahexaenoic (1.38% for C1 and 1.34% for C2) and eicosapentaenoic (0.17% for C1 and 0.18% for C2) acids than eggs originated from hens fed with the control diets. The ?-6/?-3 ratios of 1.74 and 1.73 in treatments C1 and C2 respectively, were significantly lower (p=0.001) than ?-6/?-3 ratios in the control treatments K1 and K2 (9.40 and 8.88, respectively). Hence, the obtained results showed the possibility of producing functional egg with desirable colour and fatty acid composition by adding CCM and natural pigments in hen's diet. [ABSTRACT FROM AUTHOR]
Published: 2020
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15. Occurrence of aflatoxin B1 in Triticum species inoculated with Aspergillus flavus

Author: Krulj, J., primary, Đisalov, J., additional, Bočarov-Stančić, A., additional, Pezo, L., additional, Kojić, J., additional, Vidaković, A., additional, and Solarov, M. Bodroža, additional
Published: 2018
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16. The Changing Landscape for Stroke Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Author: Huisman, M, Rothman, K, Paquette, M, Teutsch, C, Diener, H, Dubner, S, Halperin, J, Ma, C, Zint, K, Elsaesser, A, Bartels, D, Lip, G, Abban, D, Abdul, N, Abelson, M, Ackermann, A, Adams, F, Adams, L, Adragão, P, Ageno, W, Aggarwal, R, Agosti, S, Marin, J, Aguilar, F, Aguilar Linares, J, Aguinaga, L, Ahmad, Z, Ainsworth, P, Al Ghalayini, K, Al Ismail, S, Alasfar, A, Alawwa, A, Al Dallow, R, Alderson, L, Alexopoulos, D, Ali, A, Ali, M, Aliyar, P, Al Joundi, T, Al Mahameed, S, Almassi, H, Almuti, K, Al Obaidi, M, Alshehri, M, Altmann, U, Alves, A, Al Zoebi, A, Amara, W, Amelot, M, Amjadi, N, Ammirati, F, Andrawis, N, Angoulvant, D, Annoni, G, Ansalone, G, Antonescu, S, Ariani, M, Arias, J, Armero, S, Arora, R, Arora, C, Ashcraft, W, Aslam, M, Astesiano, A, Audouin, P, Augenbraun, C, Aydin, S, Azar, R, Azim, A, Aziz, S, Backes, L, Baig, M, Bains, S, Bakbak, A, Baker, S, Bakhtiar, K, Bala, R, Banayan, J, Bandh, S, Bando, S, Banerjee, S, Bank, A, Barbarash, O, Barón, G, Barr, C, Barrera, C, Barton, J, Kes, V, Baula, G, Bayeh, H, Bazargani, N, Behrens, S, Bell, A, Benezet Mazuecos, J, Benhalima, B, Berdagué, P, Berg van den, B, Bergen van, P, Berngard, E, Bernstein, R, Berrospi, P, Berti, S, Bertomeu, V, Berz, A, Bettencourt, P, Betzu, R, Beyer Westendorf, J, Bhagwat, R, Black, T, Blanco Ibaceta, J, Bloom, S, Blumberg, E, Bo, M, Bockisch, V, Bøhmer, E, Bongiorni, M, Boriani, G, Bosch, R, Boswijk, D, Bott, J, Bottacchi, E, Kalan, M, Brandes, A, Bratland, B, Brautigam, D, Breton, N, Brouwers, P, Browne, K, Bruguera, J, Brunehaut, M, Brunschwig, C, Buathier, H, Buhl, A, Bullinga, J, Butcher, K, Cabrera Honorio, J, Caccavo, A, Cadinot, D, Cai, S, Calvi, V, Camm, J, Candeias, R, Capo, J, Capucci, A, Cardoso, J, Duarte Vera, Y, Carlson, B, Carvalho, P, Cary, S, Casanova, R, Casu, G, Cattan, S, Cavallini, C, Cayla, G, Cha, T, Cha, K, Chaaban, S, Chae, J, Challappa, K, Chand, S, Chandrashekar, H, Chang, M, Charbel, P, Chartier, L, Chatterjee, K, Cheema, A, Chen, S, Chevallereau, P, Chiang, F, Chiarella, F, Chih Chan, L, Cho, Y, Choi, D, Chouinard, G, Danny, N, Chow, H, Chrysos, D, Chumakova, G, José Roberto Chuquiure Valenzuela, E, Cieza Lara, T, Nica, V, Ciobotaru, V, Cislowski, D, Citerne, O, Claus, M, Clay, A, Clifford, P, Cohen, S, Cohen, A, Colivicchi, F, Collins, R, Compton, S, Connors, S, Conti, A, Buenostro, G, Coodley, G, Cooper, M, Corbett, L, Corey, O, Coronel, J, Corrigan, J, Cotrina Pereyra, R, Cottin, Y, Coutu, B, Cracan, A, Crean, P, Crenshaw, J, Crijns, H, Crump, C, Cucher, F, Cudmore, D, Cui, L, Culp, J, Darius, H, Dary, P, Dascotte, O, Dauber, I, Davee, T, Davies, R, Davis, G, Davy, J, Dayer, M, De La Briolle, A, de Mora, M, De Teresa, E, De Wolf, L, Decoulx, E, Deepak, S, Defaye, P, Del Carpio Munoz, F, Brkljacic, D, Deluche, L, Destrac, S, Deumite, N, Di Legge, S, Dibon, O, Diemberger, I, Dillinger, J, Dionísio, P, Naydenov, S, Dotani, I, Dotcheva, E, D'Souza, A, Dubrey, S, Ducrocq, X, Dupljakov, D, Duthinh, V, Dutra, O, Dutta, D, Duvilla, N, Dy, J, Dziewas, R, Eaton, C, Eaves, W, Ebinger, M, Eck van, J, Edwards, T, Egocheaga, I, Ehrlich, C, Eisenberg, S, El Hallak, A, El Jabali, A, El Mahmoud, R, El Shahawy, M, Eldadah, Z, Elghelbazouri, F, Elhag, O, El Hamdani, M, Elias, D, Ellery, A, El Sayed, H, Elvan, A, Erickson, B, Espaliat, E, Essandoh, L, Everington, T, Evonich, R, Ezhov, A, Fácila, L, Farsad, R, Fayard, M, Fedele, F, Gomes Ferreira, L, Ferreira, D, Santos, J, Ferrier, A, Finsen, A, First, B, Fisher, R, Floyd, J, Folk, T, Fonseca, C, Fonseca, L, Forman, S, Forsgren, M, Foster, M, Foster, N, Frais, M, Frandsen, B, Frappé, T, Freixa, R, French, W, Freydlin, M, Frickel, S, Fruntelata, A, Fujii, S, Fujino, Y, Fukunaga, H, Furukawa, Y, Gabelmann, M, Gabris, M, Gadsbøll, N, Galin, P, Galinier, M, Ganim, R, Garcia, R, Quintana, A, Gartenlaub, O, Genz, C, Georger, F, Georges, J, Georgeson, S, Ghanbasha, A, Giedrimas, E, Gierba, M, Gillespie, E, Giniger, A, Gkotsis, A, Gmehling, J, Gniot, J, Goethals, P, Goldberg, R, Goldmann, B, Goldscher, D, Golitsyn, S, Gomez Lopez, E, Gomez Mesa, J, Gonzalez, E, Cocina, E, Juanatey, C, Gorbunov, V, Gordon, B, Gorka, H, Gornick, C, Gorog, D, Goss, F, Götte, A, Goube, P, Goudevenos, I, Goulden, D, Graham, B, Grande, A, Greco, C, Green, M, Greer, G, Gremmler, U, Grena, P, Grinshstein, Y, Grond, M, Gronda, E, Grondin, F, Grönefeld, G, Groot de, J, Guardigli, G, Guarnieri, T, Caiedo, C, Guignier, A, Gulizia, M, Gumbley, M, Gupta, D, Hack, T, Haerer, W, Hakas, J, Hall, C, Hampsey, J, Hananis, G, Hanbali, B, Handel, F, Hargrove, J, Hargroves, D, Harris, K, Hartley, D, Haruna, T, Hata, Y, Hayek, E, Healey, J, Hearne, S, Heggelund, G, Hemels, M, Hemery, Y, Henein, S, Henz, B, Her, S, Hermany, P, Hernandes, M, Higashino, Y, Hill, M, Hisadome, T, Hishida, E, Hitchcock, J, Hoffer, E, Hoghton, M, Holmes, C, Hong, S, Houppe Nousse, M, Howard, V, Hsu, L, Huang, C, Huckins, D, Huehnergarth, K, Huizenga, A, Huntley, R, Hussein, G, Hwang, G, Igbokidi, O, Iglesias, I, Ikpoh, M, Imberti, D, Ince, H, Indolfi, C, Ionova, T, Ip, J, Irles, D, Iseki, H, Ismail, Y, Israel, N, Isserman, S, Iteld, B, Ivanchura, G, Iyer, R, Iyer, V, Iza Villanueva, R, Jackson Voyzey, E, Jaffrani, N, Jäger, F, Jain, M, James, M, Jamon, Y, Jang, S, Pereira Jardim, C, Jarmukli, N, Jeanfreau, R, Jenkins, R, Jiang, X, Jiang, H, Jiang, T, Jiang, N, Jimenez, J, Jobe, R, Joffe, I, Johansson, B, Jones, N, Moura Jorge, J, Jouve, B, Jundi, M, Jung, W, Jung, B, Jung, K, Kabbani, S, Kabour, A, Kafkala, C, Kajiwara, K, Kalinina, L, Kampus, P, Kanda, J, Kapadia, S, Karim, A, Karolyi, L, Kashou, H, Kastrup, A, Katsivas, A, Kaufman, E, Kawai, K, Kawajiri, K, Kazmierski, J, Keeling, P, Kerfes, G, Kerr Saraiva, J, Ketova, G, Khaira, A, Khalid, M, Khludeeva, E, Khripun, A, Kim, D, Kim, N, Kim, K, Kim, Y, Kim, J, Kinova, E, Klein, A, Kleinschnitz, C, Kmetzo, J, Kneller, G, Knezevic, A, Koch, S, Koenig, K, Angela Koh, S, Köhrmann, M, Koons, J, Korabathina, R, Korennova, O, Koschutnik, M, Kosinski, E, Kovacic, D, Kowalczyk, J, Koziolova, N, Kragten, J, Krause, L, Kreidieh, I, Krenning, B, Krishnaswamy, K, Krysiak, W, Kuck, K, Kumar, S, Kümler, T, Kuniss, M, Kuo, J, Küppers, A, Kurrelmeyer, K, Kwan, T, Kyo, E, Labovitz, A, Lacroix, A, Lam, A, Lanas Zanetti, F, Landau, C, Landini, G, Lang, W, Larsen, T, Laske, V, Lavandier, K, Law, N, Lee, M, Lee, D, Leitão, A, Lejay, D, Lelonek, M, Lenarczyk, R, Leprince, P, Lequeux, B, Leschke, M, Ley, N, Li, Z, Li, Y, Li, X, Li, W, Liang, J, Lieber, I, Lillestol, M, Limon Rodriguez, R, Lin, H, Litchfield, J, Liu, Z, Liu, X, Liu, Y, Liu, F, Liu, W, Llamas Esperon, G, Llisterri, J, Lo, T, Lo, E, Lobos, J, Lodde, B, Loiselet, P, López Sendón, J, Lorga Filho, A, Lori, I, Luo, M, Lupovitch, S, Lyrer, P, Zuhairy, H, Ma, G, Ma, H, Madariaga, I, Maeno, K, Magnin, D, Mahmood, S, Mahood, K, Maid, G, Mainigi, S, Makaritsis, K, Maldonado Villalon, J, Malhotra, R, Malik, A, Mallecourt, C, Mallik, R, Manning, R, Manolis, A, 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T, Nam, K, Napalkov, D, Natarajan, I, Nayak, H, Nechvatal, L, Neiman, J, Nerheim, P, Neuenschwander, F, Nishida, K, Nizov, A, Novikova, T, Novo, S, Nowalany Kozielska, E, Nsah, E, Nunez Fragoso, J, Nyvad, O, de Los Rios Ibarra, M, O'Donnell, M, O'Donnell, P, Oh, D, Oh, Y, Daniel Oh, C, O'Hara, G, Oikonomou, K, Olalla, J, Olivari, Z, Oliver, R, Olympios, C, Osborne, J, Osca, J, Osman, R, Osunkoya, A, Padanilam, B, Panchenko, E, Pandey, A, Vicenzo de Paola, A, Paraschos, A, Pardell, H, Park, H, Park, J, Parkash, R, Parker, I, Parrens, E, Parris, R, Passamonti, E, Patel, J, Patel, R, Pentz, W, Persic, V, Perticone, F, Peters, P, Petkar, S, Pezo, L, Pham, D, Cao Phai, G, Phlaum, S, Pineau, J, Pineda Velez, A, Pini, R, Pinter, A, Pinto, F, Pirelli, S, Pivac, N, Pizzini, A, Pocanic, D, Calin Podoleanu, C, Polanczyk, C, Polasek, P, Poljakovic, Z, Pollock, S, Polo, J, Poock, J, Poppert, H, Porro, Y, Pose, A, Poulain, F, Poulard, J, Pouzar, J, Povolny, P, Pozzer, D, Pras, A, Prasad, N, Prevot, 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Q, Zhou, J, Zimmermann, S, Zimmermann, R, Zukerman, L, Zwaan van der, C, Zwaan van der, C., ANNONI, GIORGIO, Huisman, M, Rothman, K, Paquette, M, Teutsch, C, Diener, H, Dubner, S, Halperin, J, Ma, C, Zint, K, Elsaesser, A, Bartels, D, Lip, G, Abban, D, Abdul, N, Abelson, M, Ackermann, A, Adams, F, Adams, L, Adragão, P, Ageno, W, Aggarwal, R, Agosti, S, Marin, J, Aguilar, F, Aguilar Linares, J, Aguinaga, L, Ahmad, Z, Ainsworth, P, Al Ghalayini, K, Al Ismail, S, Alasfar, A, Alawwa, A, Al Dallow, R, Alderson, L, Alexopoulos, D, Ali, A, Ali, M, Aliyar, P, Al Joundi, T, Al Mahameed, S, Almassi, H, Almuti, K, Al Obaidi, M, Alshehri, M, Altmann, U, Alves, A, Al Zoebi, A, Amara, W, Amelot, M, Amjadi, N, Ammirati, F, Andrawis, N, Angoulvant, D, Annoni, G, Ansalone, G, Antonescu, S, Ariani, M, Arias, J, Armero, S, Arora, R, Arora, C, Ashcraft, W, Aslam, M, Astesiano, A, Audouin, P, Augenbraun, C, Aydin, S, Azar, R, Azim, A, Aziz, S, Backes, L, Baig, M, Bains, S, Bakbak, A, Baker, S, Bakhtiar, 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Dotani, I, Dotcheva, E, D'Souza, A, Dubrey, S, Ducrocq, X, Dupljakov, D, Duthinh, V, Dutra, O, Dutta, D, Duvilla, N, Dy, J, Dziewas, R, Eaton, C, Eaves, W, Ebinger, M, Eck van, J, Edwards, T, Egocheaga, I, Ehrlich, C, Eisenberg, S, El Hallak, A, El Jabali, A, El Mahmoud, R, El Shahawy, M, Eldadah, Z, Elghelbazouri, F, Elhag, O, El Hamdani, M, Elias, D, Ellery, A, El Sayed, H, Elvan, A, Erickson, B, Espaliat, E, Essandoh, L, Everington, T, Evonich, R, Ezhov, A, Fácila, L, Farsad, R, Fayard, M, Fedele, F, Gomes Ferreira, L, Ferreira, D, Santos, J, Ferrier, A, Finsen, A, First, B, Fisher, R, Floyd, J, Folk, T, Fonseca, C, Fonseca, L, Forman, S, Forsgren, M, Foster, M, Foster, N, Frais, M, Frandsen, B, Frappé, T, Freixa, R, French, W, Freydlin, M, Frickel, S, Fruntelata, A, Fujii, S, Fujino, Y, Fukunaga, H, Furukawa, Y, Gabelmann, M, Gabris, M, Gadsbøll, N, Galin, P, Galinier, M, Ganim, R, Garcia, R, Quintana, A, Gartenlaub, O, Genz, C, Georger, F, Georges, J, Georgeson, S, Ghanbasha, A, Giedrimas, E, Gierba, M, Gillespie, E, Giniger, A, Gkotsis, A, Gmehling, J, Gniot, J, Goethals, P, Goldberg, R, Goldmann, B, Goldscher, D, Golitsyn, S, Gomez Lopez, E, Gomez Mesa, J, Gonzalez, E, Cocina, E, Juanatey, C, Gorbunov, V, Gordon, B, Gorka, H, Gornick, C, Gorog, D, Goss, F, Götte, A, Goube, P, Goudevenos, I, Goulden, D, Graham, B, Grande, A, Greco, C, Green, M, Greer, G, Gremmler, U, Grena, P, Grinshstein, Y, Grond, M, Gronda, E, Grondin, F, Grönefeld, G, Groot de, J, Guardigli, G, Guarnieri, T, Caiedo, C, Guignier, A, Gulizia, M, Gumbley, M, Gupta, D, Hack, T, Haerer, W, Hakas, J, Hall, C, Hampsey, J, Hananis, G, Hanbali, B, Handel, F, Hargrove, J, Hargroves, D, Harris, K, Hartley, D, Haruna, T, Hata, Y, Hayek, E, Healey, J, Hearne, S, Heggelund, G, Hemels, M, Hemery, Y, Henein, S, Henz, B, Her, S, Hermany, P, Hernandes, M, Higashino, Y, Hill, M, Hisadome, T, Hishida, E, Hitchcock, J, Hoffer, E, Hoghton, M, Holmes, C, Hong, S, Houppe Nousse, M, Howard, V, Hsu, L, Huang, C, Huckins, D, Huehnergarth, K, Huizenga, A, Huntley, R, Hussein, G, Hwang, G, Igbokidi, O, Iglesias, I, Ikpoh, M, Imberti, D, Ince, H, Indolfi, C, Ionova, T, Ip, J, Irles, D, Iseki, H, Ismail, Y, Israel, N, Isserman, S, Iteld, B, Ivanchura, G, Iyer, R, Iyer, V, Iza Villanueva, R, Jackson Voyzey, E, Jaffrani, N, Jäger, F, Jain, M, James, M, Jamon, Y, Jang, S, Pereira Jardim, C, Jarmukli, N, Jeanfreau, R, Jenkins, R, Jiang, X, Jiang, H, Jiang, T, Jiang, N, Jimenez, J, Jobe, R, Joffe, I, Johansson, B, Jones, N, Moura Jorge, J, Jouve, B, Jundi, M, Jung, W, Jung, B, Jung, K, Kabbani, S, Kabour, A, Kafkala, C, Kajiwara, K, Kalinina, L, Kampus, P, Kanda, J, Kapadia, S, Karim, A, Karolyi, L, Kashou, H, Kastrup, A, Katsivas, A, Kaufman, E, Kawai, K, Kawajiri, K, Kazmierski, J, Keeling, P, Kerfes, G, Kerr Saraiva, J, Ketova, G, Khaira, A, Khalid, M, Khludeeva, E, Khripun, A, Kim, D, Kim, N, Kim, K, Kim, Y, Kim, J, Kinova, E, Klein, A, Kleinschnitz, C, Kmetzo, J, Kneller, G, Knezevic, A, Koch, S, Koenig, K, Angela Koh, S, Köhrmann, M, Koons, J, Korabathina, R, Korennova, O, Koschutnik, M, Kosinski, E, Kovacic, D, Kowalczyk, J, Koziolova, N, Kragten, J, Krause, L, Kreidieh, I, Krenning, B, Krishnaswamy, K, Krysiak, W, Kuck, K, Kumar, S, Kümler, T, Kuniss, M, Kuo, J, Küppers, A, Kurrelmeyer, K, Kwan, T, Kyo, E, Labovitz, A, Lacroix, A, Lam, A, Lanas Zanetti, F, Landau, C, Landini, G, Lang, W, Larsen, T, Laske, V, Lavandier, K, Law, N, Lee, M, Lee, D, Leitão, A, Lejay, D, Lelonek, M, Lenarczyk, R, Leprince, P, Lequeux, B, Leschke, M, Ley, N, Li, Z, Li, Y, Li, X, Li, W, Liang, J, Lieber, I, Lillestol, M, Limon Rodriguez, R, Lin, H, Litchfield, J, Liu, Z, Liu, X, Liu, Y, Liu, F, Liu, W, Llamas Esperon, G, Llisterri, J, Lo, T, Lo, E, Lobos, J, Lodde, B, Loiselet, P, López Sendón, J, Lorga Filho, A, Lori, I, Luo, M, Lupovitch, S, Lyrer, P, Zuhairy, H, Ma, G, Ma, H, Madariaga, I, Maeno, K, Magnin, D, Mahmood, S, Mahood, K, Maid, G, Mainigi, S, Makaritsis, K, Maldonado Villalon, J, Malhotra, R, Malik, A, Mallecourt, C, Mallik, R, Manning, R, Manolis, A, Mantas, I, Manzur Jattin, F, Marcionni, N, Marín, F, Santana, A, Martinez, J, Martinez, L, Maskova, P, Hernández, N, Matskeplishvili, S, Matsuda, K, Mavri, A, May, E, Mayer, N, Mazon, P, Mcclure, J, Mccormack, T, Mcgarity, W, Mcguire, M, Mcintyre, H, Mclaughlin, P, Mclaurin, B, Medina Palomino, F, Mehta, P, Mehzad, R, Meinel, A, Melandri, F, Mena, A, Meno, H, Menzies, D, Metcalf, K, Meyer, B, Miarka, J, Mibach, F, Michalski, D, Michel, P, Chreih, R, Mikdadi, G, Mikhail, M, Mikus, M, Milicic, D, Militaru, C, Miller, G, Milonas, C, Minescu, B, Mintale, I, Miralles, A, Mirault, T, Mistry, D, Mitchell, G, Miu, N, Miyamoto, N, Moccetti, T, Mohammed, A, Nor, A, Molina de Salazar, D, Molon, G, Molony, D, Mondillo, S, Mont, L, Moodley, R, Moore, R, Ribeiro Moreira, D, Mori, K, Moriarty, A, Morka, J, Moschos, N, Mota Gomes, M, Mousallem, N, Moya, A, Mügge, A, Mulhearn, T, Muller, J, Muresan, C, Muse, D, Musial, W, Musumeci, F, Nadar, V, Nageh, T, Nair, P, Nakagawa, H, Nakamura, Y, Nakayama, T, Nam, K, Napalkov, D, Natarajan, I, Nayak, H, Nechvatal, L, Neiman, J, Nerheim, P, Neuenschwander, F, Nishida, K, Nizov, A, Novikova, T, Novo, S, Nowalany Kozielska, E, Nsah, E, Nunez Fragoso, J, Nyvad, O, de Los Rios Ibarra, M, O'Donnell, M, O'Donnell, P, Oh, D, Oh, Y, Daniel Oh, C, O'Hara, G, Oikonomou, K, Olalla, J, Olivari, Z, Oliver, R, Olympios, C, Osborne, J, Osca, J, Osman, R, Osunkoya, A, Padanilam, B, Panchenko, E, Pandey, A, Vicenzo de Paola, A, Paraschos, A, Pardell, H, Park, H, Park, J, Parkash, R, Parker, I, Parrens, E, Parris, R, Passamonti, E, Patel, J, Patel, R, Pentz, W, Persic, V, Perticone, F, Peters, P, Petkar, S, Pezo, L, Pham, D, Cao Phai, G, Phlaum, S, Pineau, J, Pineda Velez, A, Pini, R, Pinter, A, Pinto, F, Pirelli, S, Pivac, N, Pizzini, A, Pocanic, D, Calin Podoleanu, C, Polanczyk, C, Polasek, P, Poljakovic, Z, Pollock, S, Polo, J, Poock, J, Poppert, H, Porro, Y, Pose, A, Poulain, F, Poulard, J, Pouzar, J, Povolny, P, Pozzer, D, Pras, A, Prasad, N, Prevot, S, Protasov, K, Prunier, L, Puleo, J, Pye, M, Qaddoura, F, Quedillac, J, Raev, D, Rahimi, S, Raisaro, A, Rama, B, Ranadive, N, Randall, K, Ranjith, N, Raposo, N, Rashid, H, Raters, C, Rauch Kroehnert, U, Rebane, T, Regner, S, Renzi, M, Reyes Rocha, M, Reza, S, Ria, L, Richter, D, Rickli, H, Rickner, K, Rieker, W, Rigo, F, Ripoll, T, Fonteles Ritt, L, Roberts, D, Pascual, C, Briones, I, Reyes, H, Roelke, M, Roman, M, Romeo, F, Ronner, E, Ronziere, T, Rooyer, F, Rosenbaum, D, Roth, S, Rozkova, N, Rubacek, M, Rubalcava, F, Rubanenko, O, Rubin, A, Borret, M, Rybak, K, Sabbour, H, Morales, O, Sakai, T, Salacata, A, Salecker, I, Salem, A, Salfity, M, Salguero, R, Salvioni, A, Samson, M, Sanchez, G, Sandesara, C, Saporito, W, Sasaoka, T, Sattar, P, Savard, D, Scala, P, Scemama, J, Schaupp, T, Schellinger, P, Scherr, C, Schmitz, K, Schmitz, B, Schmitz, L, Schnitzler, R, Schnupp, S, Schoeniger, P, Schön, N, Schuster, S, Schwimmbeck, P, Seamark, C, Seebass, R, Seidl, K, Seidman, B, Sek, J, Sekaran, L, Seko, Y, Sepulveda Varela, P, Sevilla, B, Shah, V, Shah, A, Shah, N, Shanes, J, Sharareh, A, Sharma, V, Shaw, L, Shimizu, Y, Shimomura, H, Shin, D, Shin, E, Shite, J, Shoukfeh, M, Shoultz, C, Silver, F, Sime, I, Simmers, T, Singal, D, Singh, N, Siostrzonek, P, Sirajuddin, M, Skeppholm, M, Smadja, D, Smith, R, Smith, D, Soda, H, Sofley, C, Sokal, A, Sotolongo, R, de Souza, O, Sparby, J, Spinar, J, Sprigings, D, Spyropoulos, A, Stakos, D, Steinberg, A, Steinwender, C, Stergiou, G, Stites, H, Stoikov, A, Strasser, R, Streb, W, Styliadis, I, Su, G, Su, X, Suarez, R, Sudnik, W, Sueyoshi, A, Sukles, K, Sun, L, Suneja, R, Svensson, P, Ziekenhuis, A, Szavits Nossan, J, Taggeselle, J, Takagi, Y, Takhar, A, Tallet, J, Tamm, A, Tanaka, S, Tanaka, K, Tang, A, Tang, S, Tassinari, T, Tayama, S, Tayebjee, M, Tebbe, U, Teixeira, J, Tesloianu, D, Tessier, P, The, S, Thevenin, J, Thomas, H, Timsit, S, Topkis, R, Torosoff, M, Touze, E, Traissac, T, Trendafilova, E, Troyan, B, Tsai, W, Tse, H, Tsutsui, H, Tsutsui, T, Tuininga, Y, Turakhia, M, Turk, S, Turner, W, Tveit, A, Twiddy, S, Tytus, R, Ukrainski, G, Valdovinos Chavez, S, Van De Graaff, E, Vanacker, P, Vardas, P, Vargas, M, Vassilikos, V, Vazquez, J, Venkataraman, A, Verdecchia, P, Vester, E, Vial, H, Vinereanu, D, Vlastaris, A, Vogel, C, vom Dahl, J, von Mering, M, Vora, K, Wakefield, P, Walia, J, Walter, T, Wang, M, Wang, N, Wang, F, Wang, X, Wang, Z, Wang, K, Watanabe, K, Wei, J, Weimar, C, Weinrich, R, Wen, M, Wheelan, K, Wicke, J, Wiemer, M, Wild, B, Wilke, A, Willems, S, Williams, M, Williams, D, Winkler, A, Wirtz, J, Witzenbichler, B, Wong, D, Lawrence Wong, K, Wong, B, Wozakowska Kaplon, B, Wu, Z, Wu, S, Wyatt, N, Xu, Y, Xu, X, Yamada, A, Yamamoto, K, Yamanoue, H, Yamashita, T, Bryan Yan, P, Yang, Y, Yang, T, Yao, J, Yarlagadda, C, Yeh, K, Yotov, Y, Yvorra, S, Zahn, R, Zamorano, J, Zanini, R, Zarich, S, Zebrack, J, Zenin, S, Zeuthen, E, Zhang, X, Zhang, Q, Zhang, D, Zhang, H, Zhao, S, Zhao, X, Zheng, Y, Zheng, Q, Zhou, J, Zimmermann, S, Zimmermann, R, Zukerman, L, Zwaan van der, C, Zwaan van der, C., and ANNONI, GIORGIO
Abstract: Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non–vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase 1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients’ baseline characteristics. Atrial fibrillation disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score ≥2; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc = 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N = 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients rece
Published: 2017

17. Molecular Identification and Characterisation of Aspergillus FlavusIsolates Originating from Serbian Wheat Grains

Author: Krulj, J., Curcic, N., Stancic, A. Bocarov, Kojic, J., Pezo, L., Tukuljac, L. Peic, and Solarov, M. Bodroža
Published: 2020
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18. Diversity of amino acids composition in cereals

Author: Tomičić Zorica M., Pezo Lato L., Spasevski Nedeljka J., Lazarević Jasmina M., Čabarkapa Ivana S., and Tomičić Ružica M.
Subjects: essential amino acids, non-essential amino acids, chemical composition, nutritional profiling, dietary reference intakes, Food processing and manufacture, TP368-456
Abstract: The quality of protein is based on their amino acid composition, especially on the content and availability of essential amino acids. Cereals are important sources of protein for human nutrition, but are limited in the amounts of essential amino acids, notably lysine. The aim of this study was to analyze the chemical composition and amino acid profiles of different cereals that are important for nutritional purposes in human diet. The content of protein, moisture and crude fat in cereals varied significantly from 7.83 to 13.22%, 11.45 to 13.80%, and from 1.67 to 6.35%, respectively. The obtained results showed that oat had the highest contents of crude protein (13.22%), crude fat (6.35%) and crude cellulose (9.42%) compared to other cereals. Significant (p < 0.05) variation existed in the content of essential and nonessential amino acids among samples with the highest level in oat and wheat. Essential amino acids accounted for one-third of the total amino acids in the tested cereals. Glutamic acid was found to be the most abundant amino acid. It could be concluded that the amino acid composition of oat is the most favorable among cereals due to its high protein content and the content of lysine which can be found in limited amounts in most of the cereals.
Published: 2022
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19. Correspondence analysis of fruit and vegetable waste among consumers in Vojvodina

Author: Ubiparip-Samek Dragana N., Pezo Lato L., Mastilović Jasna S., Kovač Renata M., Zoranović Tihomir S., and Vlahović Branislav I.
Subjects: fruit waste, vegetable waste, fruit storage, vegetable storage, wasteful behaviour, Food processing and manufacture, TP368-456
Abstract: Fresh fruit and vegetables contribute to almost 50% of food wasted by households in the EU. To understand the main reasons for wasteful behaviour among the consumers in Vojvodina (Serbia) cross-sectional data were collected through a self-administrated online survey of 711 correspondents. The questions presented in the study focused on the method of preserving the fruits and vegetables in domestic conditions before their consumption. Self-estimation of wasteful behaviour in the household and socio-demographic factors, including the respondents' self-estimated health status, were analysed using the correspondence analysis. The results showed that the first two dimensions explained for 95.06% of the total per cent of inertia (statistically significant at p
Published: 2022
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20. Modeling fruit and vegetable consumption in Serbia

Author: Ubiparip-Samek Dragana N., Pezo Lato L., Mastilović Jasna S., Kovač Renata M., Zoranović Tihomir S., and Vlahović Branislav I.
Subjects: consumer behavior, fruit consumption, structural equation modeling, theory of planned behavior, vegetable consumption, Food processing and manufacture, TP368-456
Abstract: Although regular intake of fruits and vegetables has an essential role in a healthy diet and well-being, a majority of consumers in Serbia have a suboptimal intake of these groceries. To understand the main determinants of this unsatisfactory situation, the study tested an extended model of the theory of planned behavior intending to suggest necessary steps for improving fruits and vegetables daily intake. This theory, extended for the role of knowledge, was tested using structural equation modeling. Fit indices confirmed the utility of this extended model of the theory of planned behavior in explaining consumers' behavior as well as the mediating role of behavioral intentions. Serbia, as one of the central developing countries in the Balkans, was chosen to test the model with the possibility of applying it to other developing countries facing malnutrition. Data were collected in North Serbia, through an online survey (n=688). Despite consumers' high awareness of fruits and vegetables' beneficial health effects, the influence of consumers' knowledge only is not sufficient to trigger behavioral changes. Consumers' intentions and behavior should be influenced indirectly, by changing their attitudes and subjective norms. All custom-made activities promoting a higher fruit and vegetable intake should consider the present findings to achieve a bigger effect on behavioral changes among consumers.
Published: 2022
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21. An artificial neural network as a tool for kombucha fermentation improvement

Author: Cvetković Dragoljub, Šovljanski Olja, Ranitović Aleksandra, Tomić Ana, Markov Siniša, Savić Dragiša, Danilović Bojana, and Pezo Lato
Subjects: experimental design, fermentation improvement, kombucha production, mathematical modelling, Chemical engineering, TP155-156, Chemical industries, HD9650-9663
Abstract: Kombucha as a tea-based fermented beverage has become progressively widespread, mainly in the functional food market, because of health-improving benefits. As part of a daily diet for adults and children, kombucha was a valuable non-alcoholic drink containing beneficial mixtures of organic acids, minerals, vitamins, proteins, polyphenols, etc. The influence of the specific surface area of the vessel, the inoculum size, and the initial tea concentration as operating factors and fermentation time as output variable on the efficiency of kombucha fermentation was examined. The focus of this study is optimization and standardization of kombucha fermentation conditions using Box-Behnken experimental design and applying an artificial neural network (ANN) predictive model for the fermentation process. The Broyden-Fletcher-Goldfarb-Shanno iterative algorithm was used to accelerate the calculation. The obtained ANN models for the pH value and titratable acidity showed good prediction capabilities (the r2 values during the training cycle for output variables were 0.990 and 0.994, respectively). Predictive ANN modeling has been proven effective and reliable in establishing the optimum kombucha fermentation process using the selected operating factors.
Published: 2022
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22. Nanocomposites made from thermoplastic linear poly(urethane-siloxane) and organoclay: Composition impact on the properties

Author: Pergal Marija V., Ostojić Sanja, Steinhart Miloš, Stefanović Ivan S., Pezo Lato, and Špírková Milena
Subjects: polyurethane, clay nanofiller, composition-dependent properties, degree of microphase separation, surface properties, thermal performance, Chemistry, QD1-999
Abstract: Thermoplastic poly(urethane-siloxane)/organoclay nanocomposites (TPU NCs) with different hard segment content (20–55 wt. %) were prepared by in situ polymerization in the presence of organically modified montmorillonite as a nanofiller (Cloisite 30B; 1 wt. %). Hydroxyl-terminated ethoxypropyl- poly(dimethylsiloxane) was used as soft segment, while 4,4'-methylenediphenyl diisocyanate and 1,4-butanediol were the hard segment components. The study of the influence of the hard segment content on the functional properties of TPU NCs was performed by Fourier transform infrared (FTIR) spectroscopy, X-ray diffractometry (XRD), atomic force microscopy (AFM), scanning electron microscopy (SEM), dynamic mechanical thermal analyses (DMTA), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), water contact angle and water absorption tests. The results revealed that TPU NCs with the increasing hard segment content exhibit higher values of degree of microphase separation, melting temperature of the hard segments, degree of crystallinity, storage modulus (except for TPU NC-55), but lower thermal stability and hydrophobicity. TPU NC films were hydrophobic and their free surface energy was in the range from 17.7 to 24.9 mJ m-2. This work highlights how the composition of TPU NCs would affect their functional properties and provide an additional composition intended for designing advanced TPU NC materials for special biomedical applications.
Published: 2022
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23. Acceptability of bread supplemented with yeast extract to consumers

Author: Filipović Vladimir, Filipović Jelena, Petković Marko, Pezo Lato, Košutić Milenko, and Vučurović Vesna
Subjects: yeast extract, bread making, consumer survey, correspondence analysis, Agriculture
Abstract: A new type of functional food products-bread supplemented with yeast extract-was developed and optimized. In the next product development phase, samples of bread with yeast extract were tasted and evaluated by 536 randomly selected consumers, and their acceptability was analyzed.. The survey results showed that consumers in all groups had a high level of awareness about the importance of product labeling and the impact of food on health, while low requirements for special diets. Bread sensory characteristics were highly acceptable, while the final price of bread with yeast extract was 20% higher than regular bread. Correspondence analysis showed differentiation among categories of consumers and their responses. Despite the high importance of product price and lack of proper marketing, there was a high level of consumers' willingness to change their current bread, and buy this new type.
Published: 2022
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24. Numerical study of the hydrodynamics and mass transfer in the external loop airlift reactor

Author: Kojić Predrag, Kojić Jovana, Pezo Milada, Krulj Jelena, Pezo Lato, and Mirkov Nikola
Subjects: airlift reactor, hydrodynamics, mass transfer, eulerian-eulerian model, artificial neural network model, Chemical engineering, TP155-156, Chemical industries, HD9650-9663
Abstract: The objective of this study was to investigate the hydrodynamics and the gas-liquid mass transfer coefficient of an external-loop airlift reactor (ELAR). The ELAR was operated in three cases: different inlet velocities of fluids, different alcohols solutions (water, 0.5% methanol, 0.5% ethanol, 0.5% propanol and 0.5% butanol) and different concentration of methanol in solutions (0%, 0.5%, 1%, 2% and 5%). The influence of superficial gas velocity and various diluted alcohol solutions on hydrodynamics and the gas-liquid mass transfer coefficient of the ELAR was studied. Experimentally, the gas hold-up, liquid velocities and volumetric mass transfer coefficient values in the riser and the downcomer were obtained from the literature source. A computational fluid dynamics (CFD) model was developed, based on two-phase flow, investigating different liquids regarding surface tension, assuming the ideal gas flow, applying the finite volume method and Eulerian-Eulerian model. The volumetric mass transfer coefficient was determined using the CFD and artificial neural network model. The effects of liquid parameters and gas velocity on the characteristics of the gas-liquid mass transfer were simulated. These models were compared with the appropriate experimental results. The CFD model successfully simulates the influence of different alcohols regarding the number of C-atoms on hydrodynamics and mass transfer.
Published: 2022
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25. Storage time effect on inoculated, osmodehydrated chicken meat-microbiological and chemical characteristics

Author: Filipović Vladimir S., Filipović Ivana B., Markov Siniša L., Tomović Vladimi M., Šojić Branislav V., Filipović Jelena S., and Pezo Lato L.
Subjects: chicken meat, e.coli, food safety, listeria, salmonella, storage, Chemical engineering, TP155-156, Chemical industries, HD9650-9663
Abstract: In this research, chicken meat was inoculated with selected microorganisms and subjected to the osmotic dehydration process in two osmotic solutions, in an effort to investigate the effect of storage time duration on its microbiological and chemical characteristics. Total viable counts, numbers of Enterobacteriaceae, Salmonella spp., Listeria monocytogenes, Escherichia coli, proteolytic bacteria, psychotropic bacteria, of microbiological, and biogenic amine content, TBARS and DPPH, and chemical analyses were conducted on meat samples stored at 22°C, during 14 days. During storage, the number of all tested microorganisms on meat samples decreased. The highest reduction occurred in the first 4 days. The meat dehydrated in molasses achieved better results of microbiological profile during storage. Results of TBARS and DPPH analyses indicated lipid oxidation after 14 days of storage, while the results after 10 days were satisfactory. Developed mathematical models allows good prediction of microbiological and chemical responses of dehydrated chicken meat during the investigated storage duration.
Published: 2022
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26. Optimisation of egg yolk colour using natural colourants.

Author: Spasevski, N., Puvača, N., Pezo, L., Tasić, T., Vukmirović, Đ., Banjac, V., Čolović, R., Rakita, S., Kokić, B., and Džinić, N.
Subjects: EGG yolk, DIETARY supplements, SPECTROPHOTOMETERS, ARTIFICIAL neural networks, MULTIPLE correspondence analysis (Statistics)
Abstract: Copyright of European Poultry Science / Archiv für Geflügelkunde is the property of Verlag Eugen Ulmer and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Published: 2018
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27. Occurrence of aflatoxin B1 in Triticum species inoculated with Aspergillus flavus.

Author: Krulj, J., Đisalov, J., Bočarov-Stančić, A., Pezo, L., Kojić, J., Vidaković, A., and Solarov, M. Bodroža
Published: 2018
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28. Image analysis of oxidation induced food colour changes

Author: Pezo, L., Marković, Z., Pavlović, M., Kićanović, M., Ostojić, S., Zlatanović, S., and Gvozdenović, J.
Subjects: browning, colourgram, PCA analysis, oxidation, food
Abstract: Colour evaluation, by means of multivariate image analysis was applied on colour lightness changes corresponding to oxidative browning of minimally-processed basil-based food emulsions. We have analysed the influence of metal-chelating protein lactoferrin on browning of emulsions (atributed to enzymaic and non-enzymatic oxidation). The colourgram of digitalized images, taken during oxidation of the samples, was evaluated, both by colour analysis and by PCA analysis. The basic colour information was derived from frequency colour distribution for RGB and HSV colour system, while the PCA analysis was carried out by evaluating covariance matrix, for raw, mean centered and autoscaled matrix of the basic R, G, B colour information, and the evaluation of eigenvalues and eigenvectors for all three numeric models. The resulting colourgram information is one-dimensional signal, which consists of 4900 elements, and describes colour properties of the image. The changes in material due to oxidation was observed by the changes in lightness frequency distribution (L).
Published: 2011

29. Shelf life stability of osmodehydrated white cabbage: PCA analysis

Author: Cvetković Biljana, Pezo Lato, Šimurina Olivera, Kojić Jovana, Krulj Jelena, Lončar Biljana, and Nićetin Milica
Subjects: cabbage, osmotic treatment, shelf-life, pca, map, Agriculture
Abstract: The aim of the present work is to determine the shelf life of osmodehydrated white cabbage in three different osmotic solutions. During 90 days of storage, chemical and color parameters were analysed together with the sensory acceptance and microbiological profile of the osmotic treated (OT) cabbage. Hybrid "Bravo" was considered within this research because of its high yield and wide cultivation in the Province of Vojvodina. Solutions of sucrose and chloride were applied so as sugar beet molasses in OT. OT cabbage was packed in MAP with variation in a gas mixture of 40:60/ CO2:N2 (atmosphere 1) and 80:20/CO2:N2 (atmosphere 2). The shelf-life evaluation had shown good sensorial acceptance and satisfying microbiological quality. The obtained principal component analysis (PCA) was able to present the experimental results. The PCA analysis is easy to implement and could be effectively used for predictive optimization of the osmotic treatment.
Published: 2021
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30. Extraction kinetics modeling of amaranth seed oil supercritical fluid extraction

Author: Krulj Jelena, Pezo Lato, Kojić Jovana, Pavlić Branimir, Šimurina Olivera, Cvetković Biljana, and Bodroža-Solarov Marija
Subjects: amaranth seed oil, supercritical fluid extraction, kinetic modeling, Agriculture
Abstract: Amaranth seeds contain oil with important nutritional properties, in particular, because of the presence of essential fatty acids, high content of minerals, vitamins, lysine and squalene. In this study, the kinetics of the supercritical fluid extraction of oil from three amaranth seed varieties has been investigated. The average oil content in amaranth seed was 58.2 g/kg, ranging from 54.6 to 61.1 g/kg depends on varieties, while squalene content ranged from 3.3 to 3.8 g/kg with an average content of 3.5 g/kg dry seed. Five empirical kinetic equations were successfully applied for kinetic modeling of extraction. As indicated by the appropriate statistical "goodness of fit" tests (such as the sum of squared errors, the coefficient of determination and the average absolute relative deviation), empirical models show good agreement with experimental data. The mathematical modeling of a process is beneficial to predict the process conduct and furthermore extend the procedures from laboratory to industrial scales.
Published: 2021
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31. Modelling of extrusion process for evaluation of spelt wholegrain snack expansion

Author: Kojić Jovana, Krulj Jelena, Šimurina Olivera, Cvetković Biljana, Pezo Lato, Đermanović Branislava, and Ilić Nebojša
Subjects: extrusion, snack, influence, yoon's model, expansion, Agriculture
Abstract: The effect of extrusion parameters, including feed rate (15-25 kg/h), screw speed (250-750 rpm) and feed moisture (15-25%) on the expansion index of spelt wholegrain snack products was investigated. Wholegrain spelt flour was extruded using co-rotating twinscrew extruder (Bühler BTSK 30/28D, 7 sections, length/diameter ratio = 28:1, Bühler, Uzwil, Switzerland). The obtained data demonstrate that increased feed moisture leads to a decrease in the expansion of extrudates. Increasing in screw speed resulted in higher elasticity, which has resulted in the greater expansion index. The following operating conditions: screw speed (750 rpm), feed moisture (20%) and feed rate (20kg/h) provided the highest expansion index (1.93). The screw speed has the greatest positive influence on the expansion index obtained by Yoon's model.
Published: 2021
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32. An artificial neural network-based prediction model for utilization of coal ash in production of fired clay bricks: A review

Author: Vidak-Vasić Milica, Pezo Lato, Gupta Vivek, Chaudhary Sandeep, and Radojević Zagorka
Subjects: clays, coal ash, traditional ceramics, mechanical properties, modeling, Chemical technology, TP1-1185
Abstract: This study analyzed the last 20 years` data available on power plant coal ashes used in clay brick production. The statistical analysis has been carried out for a total of 302 cases based on the relevant parameters reported in the literature. The chemical composition of the clays and coal ashes, percentage incorporation and maximum particle size of ash, size of fired samples, peak firing temperature, and the corresponding soaking time were selected as inputs for modeling. The product characteristics i.e. open porosity, water absorption, and compressive strength was taken as output parameters. An artificial neural network model has been developed and showed a satisfactory fit to experimental data and predicted the observed output variables with the overall coefficient of determination (r2) of 0.972 during the training period. Besides, the reduced chi-square, mean bias error, root mean square error, and mean percentage error were utilized to check the correctness of the obtained model, which proved the network generalization capability. The sensitivity analysis of the model suggested that the quantity of Na2O coming from brick clays, the percentages of SiO2 and K2O coming from ashes, and MgO coming from clays were the most influential parameters in descending order for the ash-clay composite bricks` quality, mostly owing to the influence of fluxes during firing.
Published: 2021
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33. Achillea clypeolata Sibth. & Sm. essential oil composition and QSRR model for predicting retention indices

Author: Aćimović Milica, Pezo Lato, Cvetković Mirjana, Stanković Jovana, and Čabarkapa Ivana
Subjects: hydrodistillation, gc-ms, artificial neural networks, Chemistry, QD1-999
Abstract: The aim of this study was the prediction model of retention indices of compounds from the aboveground parts of Achillea clypeolata Sibth. & Sm. essential oil, obtained by hydrodistillation and analysed by GC–MS. The quantitative structure–retention relationship analysis was applied in order to anticipate the retention time of the obtained compounds. The selection of the seven molecular descriptors was done by a genetic algorithm. The chosen descriptors were uncorrelated and were used to construct an artificial neural network. A total of 40 experimentally obtained retention indices was used to build this prediction model. The coefficient of determination for the training, testing and validation cycles were: 0.950, 0.825 and 1.000, respectively, indicating that this model could be used for prediction of retention indices for A. clypeolata, essential oil compounds.
Published: 2021
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34. Assessment of efficiency of rare earth elements recovery from lignite coal combustion ash via five-stage extraction

Author: Miličić Ljiljana, Terzić Anja, Pezo Lato, Mijatović Nevenka, Brčeski Ilija, and Vukelić Nikola
Subjects: powdery materials, industrial byproduct, chemical extraction, analytical modeling, dopants for ceramic materials, Chemical technology, TP1-1185
Abstract: Rare earth elements (REE) are frequently referred to as ingredients for enhancements in modern industry, as they are extensively applied in many industrial branches due to their accented electro-magnetic and optical properties. REE have end-utilizations as catalysts, magnets, and as dopants for ceramic materials. Rare earth minerals are scarce therefore the unconventional REE-containing resources such as waste materials and industrial byproducts are continuously being investigated. Coal combustion products comprise REE concentrations varying between 200 ppm and 1500 ppm. This quantity can be isolated though the extraction procedure. In this study, the five stages extraction was conducted on the coal combustion ash from the selected landfill site. The extractions of 32 elements (As, Ga, Ce, Be, Ge, Nd, Cr, Zr, Eu, Cu, Nb, Gd, Co, Mo, Dy, Li, Ag, W, Mn, Cd, Au, Ni, In, Hg, Pb, Sn, Tl, V, Sb, Th, Zn, and La) were conveyed. Chemical analyses were conducted via XRF, ICP-OES, ICP-MS, and AAS techniques. The complexity of the obtained data was examined by Principal component analysis and Cluster analysis in order to derive interconnections between quantity of elements and landfill characteristics, as well as mutual relationships among the elements of interest, and to assess the accomplishment of REE recovery from the coal ash.
Published: 2021
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35. Operating parameter optimization of cell surface hydrophobicity test for ureolytic bacteria

Author: Šovljanski Olja Lj., Pezo Lato L., Tomić Ana M., Ranitović Aleksandra S., Cvetković Dragoljub D., and Markov Siniša L.
Subjects: math test, adhesion potential, phase separation time, hydrocarbon volume, vortex time, sporosarcina pasteurii, Chemistry, QD1-999
Abstract: As one of the main non-covalent relations in microbiological-based systems, cell surface hydrophobicity (CSH) can be observed as a relevant parameter for biodegradation capability and suggested bacterial behaviour and biofilm formation during a bioremediation process. On the other hand, the role of ureolytic bacteria in bioremediation has subsequently led to the examination of this bacterial type in different engineering fields. In order to optimize the operating parameters of microbial adhesion to hydrocarbons test (MATH) for ureolytic bacteria, Box–Behnken experimental design was conducted for five ureolytic bacteria isolated from soils, as well as for the reference strain Sporosarcina pasteurii DSM 33. The optimization was completed with and without the essential substrate for the targeted metabolic reaction, with the aim to compare differences in bacterial hydrophobicity. A vortex time of 2 min, a hydrocarbon volume of 0.5 mL, and a phase separation time of 15 min are recommended as MATH operating parameters for all tested ureolytic bacteria. Although all bacteria are hydrophobic, lower CSH values in the presence of urea were observed for the same bacterium, which could be explained by the interaction of urea with the organic phase of the separation system, as well as a rapid ureolysis process that also occurs during the application of ureolytic bacteria in biotechnology systems.
Published: 2021
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36. Chamomile essential oil quality after postharvest separation treatments

Author: Aćimović Milica, Lončar Biljana, Kiprovski Biljana, Stanković-Jeremić Jovana, Todosijević Marina, Pezo Lato, and Jeremić Jelena
Subjects: essential oil, matricaria chamomilla, medicinal plants, postharvest, primary processing, separation, Plant culture, SB1-1110, Biotechnology, TP248.13-248.65
Abstract: Ecological conditions of the growing areas, growing practices as well as harvest and postharvest processing influence the yield and quality of chamomile. The aim of this research was to determine the influence of chamomile separation methods, as postharvest treatments, on the essential oil quality and content, with a view to improve current primary processing of this valuable medicinal plant. In order to explain the structure of laboratory data that would give deeper assessment of similarities among various samples of chamomile essential oil, PCA was employed. Tested results showed that separation of chamomile plant material, as postharvest and pre-drying treatment, had significant influence on the number of identified compounds in the chamomile essential oil. The highest content of individual essential oil compounds had chamomile flowers with short stems, especially a-bisabolol, chamazulene, Z-spiroether and E-b-famesene. In the essential oil obtained from chamomile flowers with long stems, content of a-bisabolol and chamazulene were significantly lower, while E-b-famesene and Z-spiroether contents were significantly higher. Furthermore, in the essential oil obtained from chamomile plant material without separation, the lowest content of abisabolol and Z-spiroether, and the highest content of E-b-farnesene were recorded. The correlation analysis was performed to investigate the likeness in the amounts of the active compounds of essential oil from differently processed chamomile samples. All these results indicate the importance of precise and controlled postharvest treatments, since it clearly affects the essential oil quality and content in the primary processing of this valuable medicinal plant.
Published: 2021
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37. The quantitative structure-retention relationship of the GC-MS profile of yarrow essential oil

Author: Aćimović Milica, Pezo Lato, Stanković-Jeremić Jovana, Todosijević Marina, Rat Milica, Tešević Vele, and Cvetković Mirjana
Subjects: achillea millefolium l., retention indices, molecular descriptors, factor analysis, genetic algorithm, coefficients of determination, Technology (General), T1-995
Abstract: In the essential oil of yarrow (Achillea millefolium L. sensu lato) collected from natural population on Mt. Rtanj (Serbia) and distilled by Clevenger apparatus 104 compounds were detected, and the most abundant were camphor (9.8%), caryophyllene oxide (6.5%), terpinen-4-ol (6.3%) and 1,8- cineole (5.6%). The quantitative structure-retention relationship (QSRR) model was employed to predict the retention indices, using four molecular descriptors selected by factor analysis and a genetic algorithm. The coefficients of determination reached the value of 0.862, demonstrating that this model could be used for prediction purposes.
Published: 2021
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38. Optimization of process parameters to obtain NH4-clinoptilolite as a supplement to ecological fertilizer

Author: Mihajlović, M., primary, Perišić, N., additional, Pezo, L., additional, Stojanović, M., additional, Milojković, J ., additional, Petrović, M., additional, and Petrović, J., additional
Published: 2014
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39. A chemometric approach to study the effects of motorway proximity on microelements content in wheat and soil

Author: Ludajić, G., primary, Pezo, L., additional, Filipović, N., additional, and Filipović, J., additional
Published: 2014
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40. Occurrence of aflatoxin B1inTriticumspecies inoculated withAspergillus flavus

Author: Krulj, J., Đisalov, J., Bočarov-Stančić, A., Pezo, L., Kojić, J., Vidaković, A., and Solarov, M. Bodroža
Published: 2018
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41. The effect of osmotic dehydration and starch coating on the microbiological stability of apples

Author: Šuput Danijela, Lazarević Jasmina, Filipović Vladimir, Nićetin Milica, Knežević Violeta, Lončar Biljana, and Pezo Lato
Subjects: apple, osmotic dehydration, molasses, starch coating, microbial profile, Agriculture
Abstract: This paper examines the effect of starch coating and the osmotic dehydration in sugar beet molasses on the microbiological stability of apples. One-half of the osmotically treated/untreated apples were protected by starch coating, resulting in four sample groups (namely the K, P, OD and OD+P sample groups). E. coli, Salmonella spp. and Listeria monocytogenes were not detected in any of the samples. Enterobacteria were present in the K and P samples in the first four days (indicating a downward trend), but were not subsequently detectable. The total number of microorganisms (TVC) was found to be uniform in each sample group. However, the TVC values were significantly higher in the K and P sample groups than those of the OD and OD + P samples. Yeasts and molds were detected in the K and P samples, whereas the presence of yeasts and molds in the OD and OD+P samples was confirmed only after four days of storage. The results obtained indicate that osmotic dehydration is a suitable method for maintaining microbial stability, whereas starch coating did not justify its purpose.
Published: 2020
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42. Efficiency investigation of the use of pyrophyllite in ensiling maize plant

Author: Adamović Milan J., Stojanović Mirjana D., Harbinja Muhamed M., Maslovarić Marijana D., Bočarov-Stančić Aleksandra S., and Pezo Lato L.
Subjects: ensiling, maize plant, pyrophyllite, Food processing and manufacture, TP368-456
Abstract: The paper presents the results of testing the effect of pyrophyllite shale (pyrophyllite) on the quality of maize plant silage, primarily on the production of organic acids, pH value, quality assessment and microbiological safety. The ensiling was done in plastic containers which allowed the storage of 10 kg of chopped green mass. Tested pyrophyllite doses were: 0% in the control treatment (I), 0.5 and 1.0% in experimental treatments (II and III, respectively). Granulated pyrophyllite (100 µm), originating from Parsovići, Konjic site, AD Harbi Ltd., Sarajevo, Bosnia and Herzegovina, was manually incorporated. The chopped green mass of the maize plant came from FAO 600 hybrids. The green mass containing 37.17% of dry matter (final waxy ripening phase) was compressed in the same manner in all three treatments during the filling of the vessels. The containers were then covered with nylon foil (0.2 mm) above which a layer of fine sand (approx. 5 cm) was placed in toward the silage protection from air passage. The silages were opened after 7 weeks and organoleptic, chemical and microbiological analyses were performed. The organoleptic properties of silages (colour and odour) were better in silages containing 0.5 and 1.0% pyrophyllite. The silage temperature at the moment of opening of the containers was lower in the treatments with 0.5 and 1.0% added pyrophyllite (13.7 and 13.2 °C, respectively) while in the control treatment it was 14.6 °C. The addition of pyrophyllite to silage affected the production of volatile fatty acids (p ≤ 0.05). The highest amount of lactic acid was found in the silage sample without the addition of pyrophyllite, and acetic acid in the silage treated with 0.5 and 1.0% of pyrophyllite. The lowest amount of butyric acid was determined in the silage with the addition of 1% pyrophyllite. Based on the content and interrelationship of lactic, acetic and butyric acid, as well as the pH values, all three silages were rated as the highest (I) class. The number of aerobic mesophilic bacteria, as well as the number of yeasts, was lower in the silages with the addition of 0.5 and 1.0% pyrophyllite. In future, particular attention should be paid on the possibility of pyrophyllite enrichment (e.g. with nitrogen) and more appropriate physical formulation (e.g. granules) that would allow more efficient practical application.
Published: 2020

43. The rheological properties of wheat dough containing zeolite residue

Author: Bodroža-Solarov Marija, Rajić Nevenka, Pezo Lato, Kojić Jovana, Krulj Jelena, Filipčev Bojana, and Jevtić-Mučibabić Rada
Subjects: zeolite, wheat, spelt, dough, mixing properties, Chemical engineering, TP155-156, Chemical industries, HD9650-9663
Abstract: The use of natural zeolite – clinoptilolite, to protect wheat grain from storage insects within environmentally-friendly storage techniques can lead to the presence of small amounts of zeolite residues in flour. This study investigated the influence of as-received zeolite clinoptilolite (Z) and sodium-rich clinoptilolite (NaZ) in wheat dough on the dough rheological properties. Zeolites were added to dough at 0.5-1.5 wt.% flour basis level, which is a range expected to remain in the grain (flour) after treatment to control storage pests. The effects were studied in two types of wheat, conventional (Triticum aestivum) and spelt (T. aestivum spp. spelta) because they initially differ in rheological properties. NaZ was used to discern whether the presence of increased concentration of Na+ in the zeolite was able to exert a higher strengthening effect as compared to as-received zeolite (Z). NaZ exerted the highest dough strengthening effect which was mainly reflected as decreased dough softening and increased water absorption. The fact that the presence of NaZ was the most effective factor in improving the dough rheological profile suggested that the presence of movable cations in the zeolite lattice might have a pronounced role in the mechanism by which zeolite affects dough behaviour.
Published: 2020
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44. Improvement and modification of energy-dispersive X-ray fluorescence method for the determination of metal elements in cement leachates: A chemometric approach

Author: Mijatović Nevenka N., Terzić Anja M., Pezo Lato L., Miličić Ljiljana R., and Živojinović Dragana Z.
Subjects: in-house validation, mineral additives, cluster analysis, icp-oes, edxrf, building materials, Chemistry, QD1-999
Abstract: A modification of an analytical procedure for the energy-dispersive X-ray fluorescence (EDXRF) quantification of ten chemical elements (As, Ba, Cd, Co, Cr, Cu, Mo, Ni, Pb and Zn) in the leachates obtained from cement binders was developed. Twenty-nine testing samples were used in the experiment. All samples were based on Portland cement. Fly ash of different origin, zeolite and bentonite were employed as mineral additives in the cement binders. Distilled water was used as the leachate. Validation of the modified EDXRF procedure was conducted in terms of limits of detection and quantification, working range, linearity, selectivity, precision, trueness, and robustness. Traceability of the procedure was established using certified reference materials. Uncertainty of measurement was confirmed via an “in-house” laboratory validation approach. The expanded uncertainties for the ten analysed elements were obtained for the entire working range of the EDXRF method. Robustness of the modified EDXRF procedure was assessed by means of a chemometric in-house approach. The results obtained by the modified X-ray fluorescence method were additionally correlated to those acquired by inductively coupled plasma optical emission spectrometry to confirm that EDXRF could be used as an effective and reliable alternative method for analysis of cement leachates.
Published: 2020
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45. Prediction of denitrification capacity of alkalotolerant bacterial isolates from soil - an artificial neural network model

Author: Šovljanski Olja Lj., Tomić Ana M., Pezo Lato L., Ranitović Aleksandra S., and Markov Siniša L.
Subjects: nitrogen cycle, denitrification capacity, denitrifying soil bacteria, experimental verification, Chemistry, QD1-999
Abstract: In the past decades, the bioremediation process based on denitrification by aerobic heterotrophic bacteria was extensively studied for different engineering approaches. Besides the fact that only non-pathogenic and non-biofilm forming bacteria must be used, it is very important to isolate bacteria or a group of bacteria in nature with the capacity to remove completely nitrate without accumulation of nitrogen oxides or ammonia as intermediates. In this article, the denitrification capacity of 43 bacterial strains isolated from slightly alkaline and calcite soils along the Danube River were investigated by artificial neural network (ANN) modelling. According to the obtained results, an ANN model was developed for the prediction of denitrification capacity of bacterial soil strains based on six signification denitrification indicators: biomass and N2 gas production, nitrate and nitrite concentration as well as nitrite and ammonia formation. The ANN model showed a reasonably good predictive capability of the outputs (overall R2 for prediction was 0.958). In addition, the experimental verification of the ANN in laboratory testing indicated that the ANN could predict the denitrification capacity of soil bacteria during the denitrification process in laboratory conditions.
Published: 2020
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46. Chemical structure and antifungal activity of mint essential oil components

Author: Plavšić Dragana V., Škrinjar Marija M., Psodorov Đorđe B., Pezo Lato L., Milovanović Ivan Lj., Psodorov Dragan Đ., Kojić Predrag S., and Kocić-Tanackov Sunčica D.
Subjects: qsrr, ann, genetic algorithm, antimicrobial potential, Chemistry, QD1-999
Abstract: The objective of this research was to determine chemical composition and to evaluate the antifungal activity of essential oil of Mentha piperita. By the application of GC/MS analysis of essential mint oil, 27 components were identified. The major components were menthol (39.9 %), menton (23.51 %), menthyl acetate (7.29 %), 1.8-cineol (5.96 %), isomenton (5.24 %), isomenthol (3.17 %), trans-caryophyllene (2.88 %), limonene (2.14 %), pulegon (1.38 %), beta-pinene (1.14 %) and piperiton (1.03 %). The quantitative structure– retention relationship (QSRR) was employed to predict the retention time (RT) of Mentha piperita essential oil compounds obtained in GC/MS analysis, using twelve molecular descriptors selected by genetic algorithm. The selected descriptors were used, as inputs of an artificial neural network, to build an RT predictive QSRR model. The coefficient of determination was 0.983, during training cycle, indicating that this model could be used for prediction of RT values for essential oil compounds in Mentha piperita essential oil extracts. Essential oil of Mentha piperita showed antifungal activity on all tested isolates in the minimal inhibitory concentration range of 0.2–1.7 μl/ml and a minimal fungicidal concentration (MFC) range of 1.7–454.5 μl/ml. The most powerful antifungal activity of mint was observed in C. cladosporioides of MFC value 1.7 μl/ml. P. aurantiogriseum showed the lowest sensitivity of MFC value 454.5 μl/ml. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 31029]
Published: 2020
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47. Serbian aromatized wine 'Bermet': Electrochemical, chemiluminescent and spectrophotometric determination of antioxidant activity

Author: Gorjanović Stanislava Ž., Pastor Ferenc T., Loupassaki Sofia, Veljović Mile, Vukosavljević Predrag, Zlatanović Snežana, and Pezo Lato
Subjects: antiradical activity, hydrogen peroxide scavenge, fruška gora, phenolics, polarography, Chemistry, QD1-999
Abstract: Serbian aromatized wine “Bermet” from grapes grown on Fruška Gora Mountain has been in production since the 15th century. Ten commercial Bermets produced according to the traditional procedure by different manufacturers, and six prepared within the scope of this study were assessed for antioxidant (AO) activity using electrochemical, chemiluminescent and spectrophotometric AO assays. Direct current polarographic assay based on the decrease of anodic current of [hydrogen(peroxido)(1-)]hydroxidomercury(II) complex formation in alkaline H2O2 solution at potential of mercury oxidation, chemiluminescent H2O2 scavenging assay, as well as commonly used spectrophotometric assays (2,2’-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) based Trolox equivalent antioxidant capacity (TEAC), 2,2-diphenyl-1- picrylhydrazyl (DPPH) and ferric reducing antioxidant power (FRAP)) were used. Total phenolic content (TPC) was determined by Folin–Ciocalteu assay. The results obtained were correlated using regression analysis, ANOVA and F-test. An integrated approach to AO capacity determination allowed a more comprehensive comparison between samples. The approach is based on the introduction of the relative antioxidant capacity index, calculated by assigning each AO assay equal weight, and by PCA analysis. In addition, the introduction of phenolic antioxidant coefficients, calculated as the ratio between individual AO capacity and TPC, enabled a better understanding of their relation. [Projects of the Serbian Ministry of Education, Science and Technological Development, Grant no. 43010 and Grant no. 31093]
Published: 2020
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48. Prediction of the GC-MS retention time for terpenoids detected in sage (Salvia officinalis L.) essential oil using QSRR approach

Author: Pavlić Branimir, Teslić Nemanja, Kojić Predrag, and Pezo Lato
Subjects: sage herbal dust, supercritical fluid extraction, terpenoids, qsrr, artificial neural networks, Chemistry, QD1-999
Abstract: This work aimed to obtain a validated model for prediction of retention time of terpenoids isolated from sage herbal dust using supercritical fluid extraction. In total 32 experimentally obtained retention time of terpenes, which were separated and detected by GC–MS were further used to build a prediction model. The quantitative structure–retention relationship was employed to predict the retention time of essential oil compounds obtained in GC–MS analysis, using six molecular descriptors selected by a genetic algorithm. The selected descriptors were used as inputs of an artificial neural network, to build a retention time predictive quantitative structure–retention relationship model. The coefficient of determination for training cycle was 0.837, indicating that this model could be used for prediction of retention time values for essential oil compounds in sage herbal dust extracts obtained by supercritical fluid extraction due to low prediction error and moderately high r2. Results suggested that a 2D autocorrelation descriptor AATS0v was the most influential parameter with an approximately relative importance of 25.1 %. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR 31013]
Published: 2020
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49. Surface and thermomechanical characterization of polyurethane networks based on poly(dimethylsiloxane) and hyperbranched polyester

Author: Pergal, M. V., primary, Dzunuzovic, J. V., additional, Poreba, R., additional, Micic, D., additional, Stefanov, P., additional, Pezo, L., additional, and Spirkova, M., additional
Published: 2013
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50. Novel approach for determination of potentially toxic elements via ICP-OES in aqueous solutions of building materials with industrial byproduct addition

Author: Mijatović Nevenka, Terzić Anja, Pezo Lato, Miličić Ljiljana, Milosavljević Aleksandra, and Živojinović Dragana
Subjects: analytical procedures, building materials, waste materials, leaching, analytical modeling, Chemical technology, TP1-1185
Abstract: New global tendencies for waste materials reusing in building materials are imposing the request for improved performances of chemical analysis methods and the improvements of matrices used. A new method for optical emission spectrometry with inductively coupled plasma (ICP-OES) is developed and validated for the chemical analysis (35 elements: Al, Be, Cd, So, Cr, Cu, Fe, Mn, Mo, Ni, V, Mo, Zn, Pb , Bi, Si, Zr, W, As, Se, Sb, Sn, Ti, Ba, B, Ag, Mg, Ca, K, Na, S, P, Ga, In, Li) in leachate of fly ash. Validation performances and the uncertainty оf measurement were resolved. Uncertainty оf measurements were resolved by three routes: validation procedure, participation in proficiency testing (PT) schemes and standard method. The obtained method is a new simple and effective analyzing route for determination of undesired trace elements and their quantity comprised in leachates of fly ash, and leachates of building materials with addition of fly ash (cement binders and mortars). In order to prove its accuracy and precision, the developed method was employed on laboratory samples of cement binders and mortars. Results were compared with limit values provided in the standard. Multivariate analyses, i.e. cluster analysis and principal component analysis, were applied to establish interrelations between analyzed samples, and to certify the developed ICP-OES method. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III 45008 and Grant no. OI 172057]
Published: 2019
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