A Practical Procedure to Integrate the First 1:500 Urban Map of Valencia into a Tile-Based Geospatial Information System

[EN] The use of geographic data from early maps is a common approach to understanding urban geography as well as to study the evolution of cities over time. The specific goal of this paper is to provide a means for the integration of the first 1:500 urban map of the city of Valencia (Spain) on a tile-based geospatial system. We developed a workflow consisting of three stages: the digitization of the original 421 map sheets, the transformation to the European Terrestrial Reference System of 1989 (ETRS89), and the conversion to a tile-based file format, where the second stage is clearly the most mathematically involved. The second stage actually consists of two steps, one transformation from the pixel reference system to the 1929 local reference system followed by a second transformation from the 1929 local to the ETRS89 system. The last stage comprises a map reprojection to adapt to tile-based geospatial standards. The paper describes a pilot study of one map sheet and results showed that the affine and bilinear transformations performed well in both transformations with average residuals under 6 and 3 cm respectively. The online viewer developed in this study shows that the derived tile-based map conforms to common standards and lines up well with other raster and vector datasets.Villar-Cano, M.; Jiménez-Martínez, MJ.; Marqués-Mateu, Á. (2019). A Practical Procedure to Integrate the First 1:500 Urban Map of Valencia into a Tile-Based Geospatial Information System. ISPRS International Journal of Geo-Information. 8(9). https://doi.org/10.3390/ijgi809037837889Bitelli, G., & Gatta, G. (2011). Digital Processing and 3D Modelling of an 18th Century Scenographic Map of Bologna. Advances in Cartography and GIScience. Volume 2, 129-146. doi:10.1007/978-3-642-19214-2_9Brovelli, M. A., Minghini, M., Giori, G., & Beretta, M. (2012). Web Geoservices and Ancient Cadastral Maps: The Web C.A.R.T.E. Project. Transactions in GIS, 16(2), 125-142. doi:10.1111/j.1467-9671.2012.01311.xBitelli, G., Cremonini, S., & Gatta, G. (2014). Cartographic heritage: Toward unconventional methods for quantitative analysis of pre-geodetic maps. Journal of Cultural Heritage, 15(2), 183-195. doi:10.1016/j.culher.2013.04.003Cardesín Díaz, J. M., & Araujo, J. M. (2016). Historic Urbanization Process in Spain (1746–2013). Journal of Urban History, 43(1), 33-52. doi:10.1177/0096144215583481Villar-Cano, M., Marqués-Mateu, Á., & Jiménez-Martínez, M. J. (2019). Triangulation network of 1929–1944 of the first 1:500 urban map of València. Survey Review, 52(373), 317-329. doi:10.1080/00396265.2018.1564599Chen, W., & Hill, C. (2005). Evaluation Procedure for Coordinate Transformation. Journal of Surveying Engineering, 131(2), 43-49. doi:10.1061/(asce)0733-9453(2005)131:2(43)ISO 19157:2013: Geographic Information—Data Qualityhttps://www.iso.org/standard/32575.htmlASPRS Positional Accuracy Standards for Digital Geospatial Datahttps://www.asprs.org/news-resources/asprs-positional-accuracy-standards-for-digital-geospatial-dataEven-Tzur, G. (2018). Coordinate transformation with variable number of parameters. Survey Review, 52(370), 62-68. doi:10.1080/00396265.2018.1517477Yuanxi, Y., & Tianhe, X. (2002). Combined method of datum transformation between different coordinate systems. Geo-spatial Information Science, 5(4), 5-9. doi:10.1007/bf02826467Lehmann, R. (2014). Transformation model selection by multiple hypotheses testing. Journal of Geodesy, 88(12), 1117-1130. doi:10.1007/s00190-014-0747-

Sustainability as the main driver of present-day horticultural advancement

Two years of COVID-19 pandemic have unquestionably highlighted several aspects of vulnerability of the major economic sectors - including food production - as we designed them before the occurrence of such a challenging sanitary emergency. Among these, horticulture has gone through an unprecedented crisis at a global scale stressing the need for the definition of new models of holistic, sustainable, and resilient cropping systems (i.e., Horticulture 2.0). In this direction goes the increased interest for short-chain food production systems (urban and indoor farming, vertical farming, etc.), multipurpose (recreational farming) and multifunctional agricultural systems (exploitation of biowaste, polyculture, agroforestry, etc.), and sustainable crop management (biostimulants, smart use of resources, etc.). In 2021, Italus Hortus went through its second year of active editorial activity since it became an international journal in horticultural science. In this year, the journal received a total of 43 submissions and, in the same year, the Board of Editors reached a decision on 32 manuscripts (2 of these were submitted in 2020). This editorial activity allowed the publication of the three issues of volume 28, that included a total of 18 papers (4 Reviews, 10 Original Research Papers, and 4 Brief Research Reports) and 1 Editorial (Figure 1A). Sixty-one percent of the published papers had corresponding authors based in Italy, whereas the remaining contributions were provided by 7 other countries (Figure 1B)

Understanding the effect of emulsifiers on bread aeration during breadmaking

[EN] BACKGROUNDMuch research has been done to explain the action of emulsifiers during breadmaking, but there is still plenty unknown to elucidate their functionality despite their diverse chemical structure. The aim of the present study was to provide some light on the role of emulsifiers on air incorporation into the dough and gas bubbles progress during baking and their relationship with bread features. Emulsifiers like diacetyl tartaric acid ester of monoglycerides (DATEM), sodium stearoyl lactylate (SSL), distilled monoglyceride (DMG-45 and DMG-75), lecithin and polyglycerol esters of fatty acids (PGEF) were tested in very hydrated doughs. RESULTSEmulsifiers increase the maximum dough volume during proofing. Emulsifiers increase the number of bubbles incorporated during mixing, observing higher number of bubbles, particularly with PGEF. Major changes in dough occurred at 70K when bubble size augmented, becoming more heterogeneous. DMG-75 produced the biggest bubbles. As a consequence, emulsifiers tend to increase the number of gas cells with lower size in the bread crumb, but led to greater crumb firmness, which suggested different interactions between emulsifiers and gluten, affecting protein polymerization during baking. CONCLUSIONThe progress of the bubbles during baking allowed the differentiation of emulsifiers, which could explain their performance in breadmaking. (c) 2018 Society of Chemical IndustryAuthors acknowledge the financial support of the Spanish Ministry of Economy and Competitiveness (Project AGL2014-52928-C2-1-R), the European Regional Development Fund (FEDER) and Generalitat Valenciana (Project Prometeo 2017/189).Garzon, R.; Hernando Hernando, MI.; Llorca Martínez, ME.; Molina Rosell, MC. (2018). Understanding the effect of emulsifiers on bread aeration during breadmaking. Journal of the Science of Food and Agriculture. 98(14):5494-5502. https://doi.org/10.1002/jsfa.9094S549455029814Rosell, C. M., & Garzon, R. (2015). Chemical Composition of Bakery Products. Handbook of Food Chemistry, 191-224. doi:10.1007/978-3-642-36605-5_22Chin, N. L., & Campbell, G. M. (2005). Dough aeration and rheology: Part 1. Effects of mixing speed and headspace pressure on mechanical development of bread dough. Journal of the Science of Food and Agriculture, 85(13), 2184-2193. doi:10.1002/jsfa.2236Trinh, L., Lowe, T., Campbell, G. M., Withers, P. J., & Martin, P. J. (2015). Effect of sugar on bread dough aeration during mixing. Journal of Food Engineering, 150, 9-18. doi:10.1016/j.jfoodeng.2014.10.020Peighambardoust, S. H., Fallah, E., Hamer, R. J., & van der Goot, A. J. (2010). Aeration of bread dough influenced by different way of processing. Journal of Cereal Science, 51(1), 89-95. doi:10.1016/j.jcs.2009.10.002Chin, N. L., Campbell, G. M., & Thompson, F. (2005). Characterisation of bread doughs with different densities, salt contents and water levels using microwave power transmission measurements. Journal of Food Engineering, 70(2), 211-217. doi:10.1016/j.jfoodeng.2004.09.024Mehta, K. L., Scanlon, M. G., Sapirstein, H. D., & Page, J. H. (2009). Ultrasonic Investigation of the Effect of Vegetable Shortening and Mixing Time on the Mechanical Properties of Bread Dough. Journal of Food Science, 74(9), E455-E461. doi:10.1111/j.1750-3841.2009.01346.xBellido, G. G., Scanlon, M. G., & Page, J. H. (2009). Measurement of dough specific volume in chemically leavened dough systems. Journal of Cereal Science, 49(2), 212-218. doi:10.1016/j.jcs.2008.10.002Moayedallaie, S., Mirzaei, M., & Paterson, J. (2010). Bread improvers: Comparison of a range of lipases with a traditional emulsifier. Food Chemistry, 122(3), 495-499. doi:10.1016/j.foodchem.2009.10.033Van Steertegem, B., Pareyt, B., Brijs, K., & Delcour, J. A. (2013). Impact of mixing time and sodium stearoyl lactylate on gluten polymerization during baking of wheat flour dough. Food Chemistry, 141(4), 4179-4185. doi:10.1016/j.foodchem.2013.07.017Gómez, A. V., Buchner, D., Tadini, C. C., Añón, M. C., & Puppo, M. C. (2012). Emulsifiers: Effects on Quality of Fibre-Enriched Wheat Bread. Food and Bioprocess Technology, 6(5), 1228-1239. doi:10.1007/s11947-011-0772-7Aamodt, A., Magnus, E. M., & FAERGESTAD, E. M. (2003). Effect of Flour Quality, Ascorbic Acid, and DATEM on Dough Rheological Parameters and Hearth Loaves Characteristics. Journal of Food Science, 68(7), 2201-2210. doi:10.1111/j.1365-2621.2003.tb05747.xFarvili, N., Walker, C. E., & Qarooni, J. (1995). Effects of Emulsifiers on Pita Bread Quality. Journal of Cereal Science, 21(3), 301-308. doi:10.1006/jcrs.1995.0033Gómez, M., del Real, S., Rosell, C. M., Ronda, F., Blanco, C. A., & Caballero., P. A. (2004). Functionality of different emulsifiers on the performance of breadmaking and wheat bread quality. European Food Research and Technology, 219(2), 145-150. doi:10.1007/s00217-004-0937-yRavi, R., Manohar, R. S., & Rao, P. H. (2000). Influence of additives on the rheological characteristics and baking quality of wheat flours. European Food Research and Technology, 210(3), 202-208. doi:10.1007/pl00005512Rodríguez-García, J., Salvador, A., & Hernando, I. (2013). Replacing Fat and Sugar with Inulin in Cakes: Bubble Size Distribution, Physical and Sensory Properties. Food and Bioprocess Technology, 7(4), 964-974. doi:10.1007/s11947-013-1066-zGarzón, R., Rosell, C. M., Malvar, R. A., & Revilla, P. (2017). Diversity among maize populations from Spain and the United States for dough rheology and gluten-free breadmaking performance. International Journal of Food Science & Technology, 52(4), 1000-1008. doi:10.1111/ijfs.13364Gómez, A. V., Ferrer, E., Añón, M. C., & Puppo, M. C. (2012). Analysis of soluble proteins/aggregates derived from gluten-emulsifiers systems. Food Research International, 46(1), 62-68. doi:10.1016/j.foodres.2011.12.007Ferrer, E. G., Gómez, A. V., Añón, M. C., & Puppo, M. C. (2011). Structural changes in gluten protein structure after addition of emulsifier. A Raman spectroscopy study. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 79(1), 278-281. doi:10.1016/j.saa.2011.02.022Turbin-Orger, A., Boller, E., Chaunier, L., Chiron, H., Della Valle, G., & Réguerre, A.-L. (2012). Kinetics of bubble growth in wheat flour dough during proofing studied by computed X-ray micro-tomography. Journal of Cereal Science, 56(3), 676-683. doi:10.1016/j.jcs.2012.08.008Babin, P., Della Valle, G., Chiron, H., Cloetens, P., Hoszowska, J., Pernot, P., … Dendievel, R. (2006). Fast X-ray tomography analysis of bubble growth and foam setting during breadmaking. Journal of Cereal Science, 43(3), 393-397. doi:10.1016/j.jcs.2005.12.002Kokelaar, J. J., Garritsen, J. A., & Prins, A. (1995). Surface rheological properties of sodium stearoyl-2-lactylate (SSL) and diacetyl tartaric esters of mono (and di) glyceride (DATEM) surfactants after a mechanical surface treatment in relation to their bread improving abilities. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 95(1), 69-77. doi:10.1016/0927-7757(94)03009-oChakrabarti-Bell, S., Wang, S., & Siddique, K. H. M. (2014). Flour quality and disproportionation of bubbles in bread doughs. Food Research International, 64, 587-597. doi:10.1016/j.foodres.2014.07.025McClements, D. J. (2015). Food Emulsions. doi:10.1201/b18868AZIZI, M. H., & RAO, G. V. (2005). Effect of Surfactant Gels on Dough Rheological Characteristics and Quality of Bread. Critical Reviews in Food Science and Nutrition, 44(7-8), 545-552. doi:10.1080/10408690490489288Gomes-Ruffi, C. R., Cunha, R. H. da, Almeida, E. L., Chang, Y. K., & Steel, C. J. (2012). Effect of the emulsifier sodium stearoyl lactylate and of the enzyme maltogenic amylase on the quality of pan bread during storage. LWT, 49(1), 96-101. doi:10.1016/j.lwt.2012.04.014Upadhyay, R., Ghosal, D., & Mehra, A. (2012). Characterization of bread dough: Rheological properties and microstructure. Journal of Food Engineering, 109(1), 104-113. doi:10.1016/j.jfoodeng.2011.09.02

Assessing the Impact of Road Traffic Externalities on Residential Price Values: a Case Study in Madrid, Spain

[EN] This paper describes a study of the relationship between undesired road traffic externalities and residential price values in the Spanish city of Madrid. A large database was gathered, including the price and characteristics of 21,634 flats and road traffic intensity at 3904 different points across the city. The results obtained by a hedonic model suggest that both distance from the traffic measurement point and average daily traffic are significantly related to the price of residential properties, even after controlling for structural and neighbourhood variables. Distance to traffic areas has a positive impact on dwelling prices, whilst these are negatively related to traffic intensity.Guijarro, F. (2019). Assessing the Impact of Road Traffic Externalities on Residential Price Values: a Case Study in Madrid, Spain. International Journal of Environmental research and Public Health. 16(24):1-13. https://doi.org/10.3390/ijerph16245149S1131624Kim, M., Chang, S. I., Seong, J. C., Holt, J. B., Park, T. H., Ko, J. H., & Croft, J. B. (2012). Road Traffic Noise. American Journal of Preventive Medicine, 43(4), 353-360. doi:10.1016/j.amepre.2012.06.014Sorensen, M., Hvidberg, M., Andersen, Z. J., Nordsborg, R. B., Lillelund, K. G., Jakobsen, J., … Raaschou-Nielsen, O. (2011). Road traffic noise and stroke: a prospective cohort study. European Heart Journal, 32(6), 737-744. doi:10.1093/eurheartj/ehq466Munzel, T., Gori, T., Babisch, W., & Basner, M. (2014). Cardiovascular effects of environmental noise exposure. European Heart Journal, 35(13), 829-836. doi:10.1093/eurheartj/ehu030Bodin, T., Albin, M., Ardö, J., Stroh, E., Östergren, P.-O., & Björk, J. (2009). Road traffic noise and hypertension: results from a cross-sectional public health survey in southern Sweden. Environmental Health, 8(1). doi:10.1186/1476-069x-8-38Lercher, P., Widmann, U., & Thudium, J. (2014). Hypotension and Environmental Noise: A Replication Study. International Journal of Environmental Research and Public Health, 11(9), 8661-8688. doi:10.3390/ijerph110908661Dzhambov, A. M., & Lercher, P. (2019). Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health, 16(21), 4134. doi:10.3390/ijerph16214134De Kluizenaar, Y., Janssen, S., Vos, H., Salomons, E., Zhou, H., & van den Berg, F. (2013). Road Traffic Noise and Annoyance: A Quantification of the Effect of Quiet Side Exposure at Dwellings. International Journal of Environmental Research and Public Health, 10(6), 2258-2270. doi:10.3390/ijerph10062258Urban, J., & Máca, V. (2013). Linking Traffic Noise, Noise Annoyance and Life Satisfaction: A Case Study. International Journal of Environmental Research and Public Health, 10(5), 1895-1915. doi:10.3390/ijerph10051895Shepherd, D., Welch, D., Dirks, K., & McBride, D. (2013). Do Quiet Areas Afford Greater Health-Related Quality of Life than Noisy Areas? International Journal of Environmental Research and Public Health, 10(4), 1284-1303. doi:10.3390/ijerph10041284Del Giudice, V., De Paola, P., Manganelli, B., & Forte, F. (2017). The Monetary Valuation of Environmental Externalities through the Analysis of Real Estate Prices. Sustainability, 9(2), 229. doi:10.3390/su9020229Wilhelmsson, M. (2000). The Impact of Traffic Noise on the Values of Single-family Houses. Journal of Environmental Planning and Management, 43(6), 799-815. doi:10.1080/09640560020001692Baranzini, A., & Ramirez, J. V. (2005). Paying for Quietness: The Impact of Noise on Geneva Rents. Urban Studies, 42(4), 633-646. doi:10.1080/00420980500060186Kim, K. S., Park, S. J., & Kweon, Y.-J. (2007). Highway traffic noise effects on land price in an urban area. Transportation Research Part D: Transport and Environment, 12(4), 275-280. doi:10.1016/j.trd.2007.03.002Blanco, J. C., & Flindell, I. (2011). Property prices in urban areas affected by road traffic noise. Applied Acoustics, 72(4), 133-141. doi:10.1016/j.apacoust.2010.11.004Łowicki, D., & Piotrowska, S. (2015). Monetary valuation of road noise. Residential property prices as an indicator of the acoustic climate quality. Ecological Indicators, 52, 472-479. doi:10.1016/j.ecolind.2015.01.002Szczepańska, A., Senetra, A., & Wasilewicz-Pszczółkowska, M. (2015). The effect of road traffic noise on the prices of residential property – A case study of the polish city of Olsztyn. Transportation Research Part D: Transport and Environment, 36, 167-177. doi:10.1016/j.trd.2015.02.011Levkovich, O., Rouwendal, J., & van Marwijk, R. (2015). The effects of highway development on housing prices. Transportation, 43(2), 379-405. doi:10.1007/s11116-015-9580-7Li, W., & Saphores, J.-D. (2012). Assessing Impacts of Freeway Truck Traffic on Residential Property Values. Transportation Research Record: Journal of the Transportation Research Board, 2288(1), 48-56. doi:10.3141/2288-06Brandt, S., & Maennig, W. (2011). Road noise exposure and residential property prices: Evidence from Hamburg. Transportation Research Part D: Transport and Environment, 16(1), 23-30. doi:10.1016/j.trd.2010.07.008Kawamura, K., & Mahajan, S. (2005). Hedonic Analysis of Impacts of Traffic Volumes on Property Values. Transportation Research Record: Journal of the Transportation Research Board, 1924(1), 69-75. doi:10.1177/0361198105192400109Day, B., Bateman, I., & Lake, I. (2007). Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model. Environmental and Resource Economics, 37(1), 211-232. doi:10.1007/s10640-007-9121-8Andersson, H., Jonsson, L., & Ögren, M. (2009). Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise. Environmental and Resource Economics, 45(1), 73-89. doi:10.1007/s10640-009-9306-4Larsen, J. E. (2012). Surface street traffic volume and single-family house price. Transportation Research Part D: Transport and Environment, 17(4), 317-320. doi:10.1016/j.trd.2012.01.004Del Giudice, V., & de Paola, P. (2014). The Effects of Noise Pollution Produced by Road Traffic of Naples Beltway on Residential Real Estate Values. Applied Mechanics and Materials, 587-589, 2176-2182. doi:10.4028/www.scientific.net/amm.587-589.2176Swoboda, A., Nega, T., & Timm, M. (2015). HEDONIC ANALYSIS OVER TIME AND SPACE: THE CASE OF HOUSE PRICES AND TRAFFIC NOISE. Journal of Regional Science, 55(4), 644-670. doi:10.1111/jors.12187Le Boennec, R., & Salladarré, F. (2017). The impact of air pollution and noise on the real estate market. The case of the 2013 European Green Capital: Nantes, France. Ecological Economics, 138, 82-89. doi:10.1016/j.ecolecon.2017.03.030Gallo, M. (2018). The Impact of Urban Transit Systems on Property Values: A Model and Some Evidences from the City of Naples. Journal of Advanced Transportation, 2018, 1-22. doi:10.1155/2018/1767149Del Giudice, V., De Paola, P., & Cantisani, G. (2017). Rough Set Theory for Real Estate Appraisals: An Application to Directional District of Naples. Buildings, 7(4), 12. doi:10.3390/buildings7010012Dubin, R. A. (1992). Spatial autocorrelation and neighborhood quality. Regional Science and Urban Economics, 22(3), 433-452. doi:10.1016/0166-0462(92)90038-3Chica Olmo, J. (1995). Spatial Estimation of Housing Prices and Locational Rents. Urban Studies, 32(8), 1331-1344. doi:10.1080/00420989550012492Hiller, N. (2014). The relative importance of structural and locational effects on apartment price variations in a medium-sized German city. Review of Regional Research, 35(1), 73-102. doi:10.1007/s10037-014-0086-0Inuiguchi, M., & Kume, Y. (1991). Goal programming problems with interval coefficients and target intervals. European Journal of Operational Research, 52(3), 345-360. doi:10.1016/0377-2217(91)90169-

Improving Distributed Decision Making in Inventory Management: A Combined ABC-AHP Approach Supported by Teamwork

[EN] The need of organizations to ensure service levels that impact on customer satisfaction has required the design of collaborative processes among stakeholders involved in inventory decision making. The increase of quantity and variety of items, on the one hand, and demand and customer expectations, on the other hand, are transformed into a greater complexity in inventory management, requiring effective communication and agreements between the leaders of the logistics processes. Traditionally, decision making in inventory management was based on approaches conditioned only by cost or sales volume. These approaches must be overcome by others that consider multiple criteria, involving several areas of the companies and taking into account the opinions of the stakeholders involved in these decisions. Inventory management becomes part of a complex system that involves stakeholders from different areas of the company, where each agent has limited information and where the cooperation between such agents is key for the system's performance. In this paper, a distributed inventory control approach was used with the decisions allowing communication between the stakeholders and with a multicriteria group decision-making perspective. This work proposes a methodology that combines the analysis of the value chain and the AHP technique, in order to improve communication and the performance of the areas related to inventory management decision making. This methodology uses the areas of the value chain as a theoretical framework to identify the criteria necessary for the application of the AHP multicriteria group decision-making technique. These criteria were defined as indicators that measure the performance of the areas of the value chain related to inventory management and were used to classify ABC inventory of the products according to these selected criteria. Therefore, the methodology allows us to solve inventory management DDM based on multicriteria ABC classification and was validated in a Colombian company belonging to the graphic arts sector.Pérez Vergara, IG.; Arias Sánchez, JA.; Poveda Bautista, R.; Diego-Mas, JA. (2020). Improving Distributed Decision Making in Inventory Management: A Combined ABC-AHP Approach Supported by Teamwork. Complexity. 2020:1-13. https://doi.org/10.1155/2020/6758108S1132020Poveda-Bautista, R., Baptista, D. C., & García-Melón, M. (2012). Setting competitiveness indicators using BSC and ANP. International Journal of Production Research, 50(17), 4738-4752. doi:10.1080/00207543.2012.657964Castro Zuluaga, C. A., Velez Gallego, M. C., & Catro Urrego, J. A. (2011). Clasificación ABC Multicriterio: Tipos de Criterios y efectos en la asignación de pesos. ITECKNE, 8(2). doi:10.15332/iteckne.v8i2.35Morash, E. A., & Clinton, S. R. (1998). Supply Chain Integration: Customer Value through Collaborative Closeness versus Operational Excellence. Journal of Marketing Theory and Practice, 6(4), 104-120. doi:10.1080/10696679.1998.11501814Fabbe-Costes, N. (2015). Évaluer la création de valeurdu Supply Chain Management. Logistique & Management, 23(4), 41-50. doi:10.1080/12507970.2015.11758621Flores, B. E., & Clay Whybark, D. (1986). Multiple Criteria ABC Analysis. International Journal of Operations & Production Management, 6(3), 38-46. doi:10.1108/eb054765Partovi, F. Y., & Burton, J. (1993). Using the Analytic Hierarchy Process for ABC Analysis. International Journal of Operations & Production Management, 13(9), 29-44. doi:10.1108/01443579310043619Balaji, K., & Kumar, V. S. S. (2014). Multicriteria Inventory ABC Classification in an Automobile Rubber Components Manufacturing Industry. Procedia CIRP, 17, 463-468. doi:10.1016/j.procir.2014.02.044Ramanathan, R. (2006). ABC inventory classification with multiple-criteria using weighted linear optimization. Computers & Operations Research, 33(3), 695-700. doi:10.1016/j.cor.2004.07.014Van Kampen, T. J., Akkerman, R., & Pieter van Donk, D. (2012). SKU classification: a literature review and conceptual framework. International Journal of Operations & Production Management, 32(7), 850-876. doi:10.1108/01443571211250112Flores, B. E., Olson, D. L., & Dorai, V. K. (1992). Management of multicriteria inventory classification. Mathematical and Computer Modelling, 16(12), 71-82. doi:10.1016/0895-7177(92)90021-cGajpal, P. P., Ganesh, L. S., & Rajendran, C. (1994). Criticality analysis of spare parts using the analytic hierarchy process. International Journal of Production Economics, 35(1-3), 293-297. doi:10.1016/0925-5273(94)90095-7Scala, N. M., Rajgopal, J., & Needy, K. L. (2014). Managing Nuclear Spare Parts Inventories: A Data Driven Methodology. IEEE Transactions on Engineering Management, 61(1), 28-37. doi:10.1109/tem.2013.2283170Hadad, Y., & Keren, B. (2013). ABC inventory classification via linear discriminant analysis and ranking methods. International Journal of Logistics Systems and Management, 14(4), 387. doi:10.1504/ijlsm.2013.052744Altay Guvenir, H., & Erel, E. (1998). Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105(1), 29-37. doi:10.1016/s0377-2217(97)00039-8Rezaei, J., & Dowlatshahi, S. (2010). A rule-based multi-criteria approach to inventory classification. International Journal of Production Research, 48(23), 7107-7126. doi:10.1080/00207540903348361Hatefi, S. M., Torabi, S. A., & Bagheri, P. (2013). Multi-criteria ABC inventory classification with mixed quantitative and qualitative criteria. International Journal of Production Research, 52(3), 776-786. doi:10.1080/00207543.2013.838328Ishizaka, A., Pearman, C., & Nemery, P. (2012). AHPSort: an AHP-based method for sorting problems. International Journal of Production Research, 50(17), 4767-4784. doi:10.1080/00207543.2012.657966Yu, M.-C. (2011). Multi-criteria ABC analysis using artificial-intelligence-based classification techniques. Expert Systems with Applications, 38(4), 3416-3421. doi:10.1016/j.eswa.2010.08.127Tsai, C.-Y., & Yeh, S.-W. (2008). A multiple objective particle swarm optimization approach for inventory classification. International Journal of Production Economics, 114(2), 656-666. doi:10.1016/j.ijpe.2008.02.017Aydin Keskin, G., & Ozkan, C. (2013). Multiple Criteria ABC Analysis with FCM Clustering. Journal of Industrial Engineering, 2013, 1-7. doi:10.1155/2013/827274Lolli, F., Ishizaka, A., & Gamberini, R. (2014). New AHP-based approaches for multi-criteria inventory classification. International Journal of Production Economics, 156, 62-74. doi:10.1016/j.ijpe.2014.05.015Raja, A. M. L., Ai, T. J., & Astanti, R. D. (2016). A Clustering Classification of Spare Parts for Improving Inventory Policies. IOP Conference Series: Materials Science and Engineering, 114, 012075. doi:10.1088/1757-899x/114/1/012075Zowid, F. M., Babai, M. Z., Douissa, M. R., & Ducq, Y. (2019). Multi-criteria inventory ABC classification using Gaussian Mixture Model. IFAC-PapersOnLine, 52(13), 1925-1930. doi:10.1016/j.ifacol.2019.11.484Babai, M. Z., Ladhari, T., & Lajili, I. (2014). On the inventory performance of multi-criteria classification methods: empirical investigation. International Journal of Production Research, 53(1), 279-290. doi:10.1080/00207543.2014.952791Schneeweiss, C. (2003). Distributed decision making––a unified approach. European Journal of Operational Research, 150(2), 237-252. doi:10.1016/s0377-2217(02)00501-5Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83. doi:10.1504/ijssci.2008.017590Cakir, O., & Canbolat, M. S. (2008). A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology. Expert Systems with Applications, 35(3), 1367-1378. doi:10.1016/j.eswa.2007.08.041Liu, J., Liao, X., Zhao, W., & Yang, N. (2016). A classification approach based on the outranking model for multiple criteria ABC analysis. Omega, 61, 19-34. doi:10.1016/j.omega.2015.07.004Douissa, M. R., & Jabeur, K. (2016). A New Model for Multi-criteria ABC Inventory Classification: PROAFTN Method. Procedia Computer Science, 96, 550-559. doi:10.1016/j.procs.2016.08.233Lolli, F., Balugani, E., Ishizaka, A., Gamberini, R., Rimini, B., & Regattieri, A. (2018). Machine learning for multi-criteria inventory classification applied to intermittent demand. Production Planning & Control, 30(1), 76-89. doi:10.1080/09537287.2018.1525506Kartal, H., Oztekin, A., Gunasekaran, A., & Cebi, F. (2016). An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification. Computers & Industrial Engineering, 101, 599-613. doi:10.1016/j.cie.2016.06.004López-Soto, D., Angel-Bello, F., Yacout, S., & Alvarez, A. (2017). A multi-start algorithm to design a multi-class classifier for a multi-criteria ABC inventory classification problem. Expert Systems with Applications, 81, 12-21. doi:10.1016/j.eswa.2017.02.048Dweiri, F., Kumar, S., Khan, S. A., & Jain, V. (2016). Designing an integrated AHP based decision support system for supplier selection in automotive industry. 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Optimization of the Curing and Post-Curing Conditions for the Manufacturing of Partially Bio-Based Epoxy Resins with Improved Toughness

[EN] This research deals with the influence of different curing and post-curing temperatures on the mechanical and thermomechanical properties as well as the gel time of an epoxy resin prepared by the reaction of diglycidyl ether of bisphenol A (DGEBA) with an amine hardener and a reactive diluent derived from plants at 31 wt %. The highest performance was obtained for the resins cured at moderate-to-high temperatures, that is, 80 degrees C and 90 degrees C, which additionally showed a significant reduction in the gel time. This effect was ascribed to the formation of a stronger polymer network by an extended cross-linking process of the polymer chains during the resin manufacturing. Furthermore, post-curing at either 125 degrees C or 150 degrees C yielded thermosets with higher mechanical strength and, more interestingly, improved toughness, particularly for the samples previously cured at moderate temperatures. In particular, the partially bio-based epoxy resin cured at 80 degrees C and post-cured at 150 degrees C for 1 h and 30 min, respectively, showed the most balanced performance due to the formation of a more homogeneous cross-linked structure.This research was supported by the Spanish Ministry of Science, Innovation, and Universities (MICIU) through the MAT2017-84909-C2-2-R program number. D.L. acknowledges Universitat Politècnica de València (UPV) for the grant received through the PAID-01-18 program. L.Q.-C. wants to thank the Generalitat Valenciana (GVA) for his FPI grant (ACIF/2016/182) and the Spanish Ministry of Education, Culture, and Sports (MECD) for his FPU grant (FPU15/03812). S.T.-G. is a recipient of a Juan de la Cierva¿Incorporación contract (IJCI-2016-29675) from MICIU.Lascano-Aimacaña, DS.; Quiles-Carrillo, L.; Torres-Giner, S.; Boronat, T.; Montanes, N. (2019). Optimization of the Curing and Post-Curing Conditions for the Manufacturing of Partially Bio-Based Epoxy Resins with Improved Toughness. Polymers. 11(8):1-15. https://doi.org/10.3390/polym11081354S115118Jin, F.-L., Li, X., & Park, S.-J. (2015). Synthesis and application of epoxy resins: A review. Journal of Industrial and Engineering Chemistry, 29, 1-11. doi:10.1016/j.jiec.2015.03.026Yu, S., Li, X., Guo, X., Li, Z., & Zou, M. (2019). Curing and Characteristics of N,N,N′,N′-Tetraepoxypropyl-4,4′-Diaminodiphenylmethane Epoxy Resin-Based Buoyancy Material. Polymers, 11(7), 1137. doi:10.3390/polym11071137Njuguna, J., Pielichowski, K., & Alcock, J. R. (2007). Epoxy-Based Fibre Reinforced Nanocomposites. Advanced Engineering Materials, 9(10), 835-847. doi:10.1002/adem.200700118Holbery, J., & Houston, D. (2006). Natural-fiber-reinforced polymer composites in automotive applications. JOM, 58(11), 80-86. doi:10.1007/s11837-006-0234-2Jin, N. J., Seung, I., Choi, Y. S., & Yeon, J. (2017). Prediction of early-age compressive strength of epoxy resin concrete using the maturity method. Construction and Building Materials, 152, 990-998. doi:10.1016/j.conbuildmat.2017.07.066Yin, Y.-B., Yang, Q.-S., Wang, S.-L., Gao, H.-D., He, Y.-W., & Li, X.-L. (2019). Formation of CO2 bubbles in epoxy resin coatings: A DFT study. Journal of Molecular Graphics and Modelling, 86, 192-198. doi:10.1016/j.jmgm.2018.10.018Jin, F.-L., & Park, S.-J. (2008). Thermomechanical behavior of epoxy resins modified with epoxidized vegetable oils. Polymer International, 57(4), 577-583. doi:10.1002/pi.2280Kim, Kim, Hwang, & Kim. (2019). Embedded Based Real-Time Monitoring in the High-Pressure Resin Transfer Molding Process for CFRP. Applied Sciences, 9(9), 1795. doi:10.3390/app9091795Rudawska, A. (2019). The Impact of the Seasoning Conditions on Mechanical Properties of Modified and Unmodified Epoxy Adhesive Compounds. Polymers, 11(5), 804. doi:10.3390/polym11050804Enns, J. B., & Gillham, J. K. (1983). Effect of the extent of cure on the modulus, glass transition, water absorptio, and density of an amine-cured epoxy. Journal of Applied Polymer Science, 28(9), 2831-2846. doi:10.1002/app.1983.070280914Ivankovic, M., Incarnato, L., Kenny, J. M., & Nicolais, L. (2003). Curing kinetics and chemorheology of epoxy/anhydride system. Journal of Applied Polymer Science, 90(11), 3012-3019. doi:10.1002/app.12976Zilg, C., Mülhaupt, R., & Finter, J. (1999). Morphology and toughness/stiffness balance of nanocomposites based upon anhydride-cured epoxy resins and layered silicates. Macromolecular Chemistry and Physics, 200(3), 661-670. doi:10.1002/(sici)1521-3935(19990301)200:33.0.co;2-4Zheng, T., Wang, X., Lu, C., Zhang, X., Ji, Y., Bai, C., … Qiao, Y. (2019). Studies on Curing Kinetics and Tensile Properties of Silica-Filled Phenolic Amine/Epoxy Resin Nanocomposite. Polymers, 11(4), 680. doi:10.3390/polym11040680Guermazi, N., Haddar, N., Elleuch, K., & Ayedi, H. F. (2014). Investigations on the fabrication and the characterization of glass/epoxy, carbon/epoxy and hybrid composites used in the reinforcement and the repair of aeronautic structures. Materials & Design (1980-2015), 56, 714-724. doi:10.1016/j.matdes.2013.11.043Park, S.-J., Seo, M.-K., & Lee, J.-R. (2000). Isothermal cure kinetics of epoxy/phenol-novolac resin blend system initiated by cationic latent thermal catalyst. Journal of Polymer Science Part A: Polymer Chemistry, 38(16), 2945-2956. doi:10.1002/1099-0518(20000815)38:163.0.co;2-6Mostovoy, S., & Ripling, E. J. (1966). Fracture toughness of an epoxy system. Journal of Applied Polymer Science, 10(9), 1351-1371. doi:10.1002/app.1966.070100913Fu, K., Xie, Q., LÜ, F., Duan, Q., Wang, X., Zhu, Q., & Huang, Z. (2019). Molecular Dynamics Simulation and Experimental Studies on the Thermomechanical Properties of Epoxy Resin with Different Anhydride Curing Agents. Polymers, 11(6), 975. doi:10.3390/polym11060975Kenyon, A. S., & Nielsen, L. E. 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On the use of acrylated epoxidized soybean oil as a reactive compatibilizer in injection-molded compostable pieces consisting of polylactide filled with orange peel flour. Polymer International, 67(10), 1341-1351. doi:10.1002/pi.5588Torres-Giner, S., Montanes, N., Fenollar, O., García-Sanoguera, D., & Balart, R. (2016). Development and optimization of renewable vinyl plastisol/wood flour composites exposed to ultraviolet radiation. Materials & Design, 108, 648-658. doi:10.1016/j.matdes.2016.07.037Khot, S. N., Lascala, J. J., Can, E., Morye, S. S., Williams, G. I., Palmese, G. R., … Wool, R. P. (2001). Development and application of triglyceride-based polymers and composites. Journal of Applied Polymer Science, 82(3), 703-723. doi:10.1002/app.1897Jaillet, F., Desroches, M., Auvergne, R., Boutevin, B., & Caillol, S. (2013). New biobased carboxylic acid hardeners for epoxy resins. European Journal of Lipid Science and Technology, 115(6), 698-708. doi:10.1002/ejlt.201200363Stemmelen, M., Lapinte, V., Habas, J.-P., & Robin, J.-J. (2015). Plant oil-based epoxy resins from fatty diamines and epoxidized vegetable oil. European Polymer Journal, 68, 536-545. doi:10.1016/j.eurpolymj.2015.03.062Pethrick, R. A., Hollins, E. A., McEwan, I., Pollock, E. A., Hayward, D., & Johncock, P. (1996). Effect of Cure Temperature on the Structure and Water Absorption of Epoxy/Amine Thermosets. Polymer International, 39(4), 275-288. doi:10.1002/(sici)1097-0126(199604)39:43.0.co;2-iBarton, J. M., Hamerton, I., Howlin, B. J., Jones, J. R., & Liu, S. (1998). Studies of cure schedule and final property relationships of a commercial epoxy resin using modified imidazole curing agents. Polymer, 39(10), 1929-1937. doi:10.1016/s0032-3861(97)00372-8Kotnarowska, D. (1999). Influence of ultraviolet radiation and aggressive media on epoxy coating degradation. 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Sustainability and Kaizen: Business Model Trends in Healthcare

[EN] Kaizen, or continuous improvement, is a management tool that allows the identification of activities that have no value in the processes examined. This identification leads to the improvement of these processes within any organization and promotes economic and social sustainability, and to a lesser extent environmental sustainability. Kaizen, already widely and successfully employed in the industrial sector, is now being applied in the health sector. However, the health sector tends to publish only the results of how processes have been improved in finely focused areas and the resulting benefits. The majority of the benefits focus on time and cost reduction. In this study, the authors carried out a bibliometric analysis using the Scimat program, which maps the thematic evolution of Kaizen in the health sector and its relationship with sustainability, in order to promote the interest of the health sector for this type of process improvement. The findings confirm that the implementation of Kaizen is recent and constantly evolves and grows, and that it can help economic and social sustainability, and to a lesser extent environmental sustainability.Morell-Santandreu, O.; Santandreu Mascarell, C.; García Sabater, JJ. (2020). Sustainability and Kaizen: Business Model Trends in Healthcare. Sustainability. 12(24):1-28. https://doi.org/10.3390/su122410622S1281224Sepetis, A. (2019). Sustainable Health Care Management in the Greek Health Care Sector. Open Journal of Social Sciences, 07(12), 386-402. doi:10.4236/jss.2019.712030Sustainable Healthcare—Working towards the Paradigm Shift https://www.anhinternational.org/wp-content/uploads/old/files/100617SustainableHealthcare_White-Paper.pdfWeisz, U., Haas, W., Pelikan, J. M., & Schmied, H. (2011). Sustainable Hospitals: A Socio-Ecological Approach. GAIA - Ecological Perspectives for Science and Society, 20(3), 191-198. doi:10.14512/gaia.20.3.10McGain, F., & Naylor, C. (2014). Environmental sustainability in hospitals – a systematic review and research agenda. Journal of Health Services Research & Policy, 19(4), 245-252. doi:10.1177/1355819614534836D’Andreamatteo, A., Ianni, L., Lega, F., & Sargiacomo, M. (2015). Lean in healthcare: A comprehensive review. Health Policy, 119(9), 1197-1209. doi:10.1016/j.healthpol.2015.02.002Norazlan, A. N. I., Habidin, N. F., Roslan, M. H., & Zainudin, M. Z. (2014). Investigation of kaizen blitz and sustainable performance for Malaysian healthcare industry. International Journal of Quality and Innovation, 2(3/4), 272. doi:10.1504/ijqi.2014.066381Patient Safety in Developing and Transitional Countries 2012 www.who.int/patientsafety/research/emro_afro_report.pdfElmontsri, M., Almashrafi, A., Banarsee, R., & Majeed, A. (2017). Status of patient safety culture in Arab countries: a systematic review. BMJ Open, 7(2), e013487. doi:10.1136/bmjopen-2016-013487Paul Brunet, A., & New, S. (2003). Kaizenin Japan: an empirical study. International Journal of Operations & Production Management, 23(12), 1426-1446. doi:10.1108/01443570310506704Ferreira, D. M. C., & Saurin, T. A. (2019). A complexity theory perspective of kaizen: a study in healthcare. Production Planning & Control, 30(16), 1337-1353. doi:10.1080/09537287.2019.1615649Chahal, H., & Fayza, N. A. (2016). An exploratory study on kaizen muda and organisational sustainability: patients’ perspective. International Journal of Lean Enterprise Research, 2(1), 81. doi:10.1504/ijler.2016.078249Ishijima, H., Nishikido, K., Teshima, M., Nishikawa, S., & Gawad, E. A. (2019). Introducing the «5S-KAIZEN-TQM» approach into public hospitals in Egypt. International Journal of Health Care Quality Assurance, 33(1), 89-109. doi:10.1108/ijhcqa-06-2018-0143Mazzocato, P., Stenfors-Hayes, T., von Thiele Schwarz, U., Hasson, H., & Nyström, M. E. (2016). Kaizen practice in healthcare: a qualitative analysis of hospital employees’ suggestions for improvement. BMJ Open, 6(7), e012256. doi:10.1136/bmjopen-2016-012256Gowen, C. R., McFadden, K. L., & Settaluri, S. (2012). Contrasting continuous quality improvement, Six Sigma, and lean management for enhanced outcomes in US hospitals. American Journal of Business, 27(2), 133-153. doi:10.1108/19355181211274442Grove, A. L., Meredith, J. O., MacIntyre, M., Angelis, J., & Neailey, K. (2010). UK health visiting: challenges faced during lean implementation. Leadership in Health Services, 23(3), 204-218. doi:10.1108/17511871011061037Ho, S. K. M. (2010). Integrated lean TQM model for global sustainability and competitiveness. The TQM Journal, 22(2), 143+-158. doi:10.1108/17542731011024264DelliFraine, J. L., Langabeer, J. R., & Nembhard, I. M. (2010). Assessing the Evidence of Six Sigma and Lean in the Health Care Industry. Quality Management in Health Care, 19(3), 211-225. doi:10.1097/qmh.0b013e3181eb140eSouza, J. P. E., & Alves, J. M. (2018). 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Considerations about quality in model-driven engineering

The final publication is available at Springer via http://dx.doi.org/10.1007/s11219-016-9350-6The virtue of quality is not itself a subject; it depends on a subject. In the software engineering field, quality means good software products that meet customer expectations, constraints, and requirements. Despite the numerous approaches, methods, descriptive models, and tools, that have been developed, a level of consensus has been reached by software practitioners. However, in the model-driven engineering (MDE) field, which has emerged from software engineering paradigms, quality continues to be a great challenge since the subject is not fully defined. The use of models alone is not enough to manage all of the quality issues at the modeling language level. In this work, we present the current state and some relevant considerations regarding quality in MDE, by identifying current categories in quality conception and by highlighting quality issues in real applications of the model-driven initiatives. We identified 16 categories in the definition of quality in MDE. From this identification, by applying an adaptive sampling approach, we discovered the five most influential authors for the works that propose definitions of quality. These include (in order): the OMG standards (e.g., MDA, UML, MOF, OCL, SysML), the ISO standards for software quality models (e.g., 9126 and 25,000), Krogstie, Lindland, and Moody. We also discovered families of works about quality, i.e., works that belong to the same author or topic. Seventy-three works were found with evidence of the mismatch between the academic/research field of quality evaluation of modeling languages and actual MDE practice in industry. We demonstrate that this field does not currently solve quality issues reported in industrial scenarios. The evidence of the mismatch was grouped in eight categories, four for academic/research evidence and four for industrial reports. These categories were detected based on the scope proposed in each one of the academic/research works and from the questions and issues raised by real practitioners. We then proposed a scenario to illustrate quality issues in a real information system project in which multiple modeling languages were used. For the evaluation of the quality of this MDE scenario, we chose one of the most cited and influential quality frameworks; it was detected from the information obtained in the identification of the categories about quality definition for MDE. We demonstrated that the selected framework falls short in addressing the quality issues. Finally, based on the findings, we derive eight challenges for quality evaluation in MDE projects that current quality initiatives do not address sufficiently.F.G, would like to thank COLCIENCIAS (Colombia) for funding this work through the Colciencias Grant call 512-2010. This work has been supported by the Gene-ralitat Valenciana Project IDEO (PROMETEOII/2014/039), the European Commission FP7 Project CaaS (611351), and ERDF structural funds.Giraldo-Velásquez, FD.; España Cubillo, S.; Pastor López, O.; Giraldo, WJ. (2016). Considerations about quality in model-driven engineering. Software Quality Journal. 1-66. https://doi.org/10.1007/s11219-016-9350-6S166(1985). Iso information processing—documentation symbols and conventions for data, program and system flowcharts, program network charts and system resources charts. ISO 5807:1985(E) (pp. 1–25).(2011). Iso/iec/ieee systems and software engineering – architecture description. 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