Strategic assessment of transport infrastructure Plans on European integration. Application for the Spanish Strategic Transport and Infrastructure Plan 2005-2020

Traditional transport infrastructure assessment methodologies rarely include the full range of strategic benefits for the transportation system. One of these benefits is the contribution to cross-border integration. However, this is a key issue in strategic planning and decision-making processes, as its inclusion may increase the probability of large-scale transport infrastructure projects being funded. This paper presents a methodology for the measurement of the contribution of Transport Infrastructure Plans to cross-border integration. The methodology is based on the measurement of the improvement in network efficiency in cross-border regions of neighboring countries, via accessibility calculations in a Geographical Information System (GIS) support. The methodology was tested by applying it to the ambitious road and rail network extensions included in the Spanish Strategic Transport and Infrastructure Plan (PEIT) 2005-2020. The results show significant and important network efficiency improvements of the PEIT outside the Spanish border. For the road mode, while the Spanish average accessibility improvement accounts for 2.6%, average improvements in cross-border regions of France and Portugal are of 1.8%. And for the rail mode, the corresponding Spanish value is 34.5%, whereas in neighboring regions it accounts for 20.2%. These results stress the significant importance of this strategic benefit and the consequent need for its inclusion in strategic planning processes. Finally, the paper identifies the potential of the methodology when applied at different administrative levels, such as the local or state levels

Serie Análisis Regional, Volumen 5: Técnicas modernas de análisis regional (Reseña)

La Serie editorial Análisis Regional (AR) surge con el propósito de publicar estudios originales y rigurosos que, provenientes de distintos filiaciones teóricas y ámbitos académicos, puedan enriquecer el estado del arte de la economía espacial y las ciencias regionales; así mismo, se plantea publicar productos de investigación aplicada que contribuyan a la solución de la compleja problemática del desarrollo regional y urbano del país. A la fecha, la Serie AR cuenta con ocho volúmenes publicados, y cuatro más integran el Programa editorial de este año, con lo cual se completaran en 2015 nuestros primeros 12 libros. Durante el 20º Encuentro Nacional sobre Desarrollo Regional en México AMECIDER 2015 se presentarán el Volumen 5 (Técnicas Modernas de Análisis Regional) y Volumen 6 (Análisis espacial de las remesas, migración de retorno y crecimiento regional en México)

Análisis comparativo entre el concreto simple y el concreto con adición de fibra de acero al 12% y 14%.

Trabajo de InvestigaciónSe desarrolló un estudio experimental sobre el comportamiento a la resistencia a compresión del concreto cuando se le adicionan el 12 y 14 % de fibra de acero, comparándolo con un concreto que no contiene adición. A los cuales se les hizo el ensayo de resistencia a la compresión y el ensayo de asentamiento. Con los resultados obtenidos, se puede concluir que las adiciones de fibra de acero como refuerzo para el concreto aumenta en un casi 13 % la resistencia a la compresión en las muestras que contiene el 14 % de fibra de acero frente a la mezcla sin adición de fibra de acero.1. INTRODUCCIÓN. 2. ANTECEDENTES Y JUSTIFICACIÓN. 3. PLANTEAMIENTO Y FORMULACIÓN DEL PROBLEMA. 4. OBJETIVOS. 5. MARCO CONCEPTUAL. 6. MARCO DE REFERENCIAL. 7. METODOLOGÍA. 8. DISEÑO DE MEZCLA. 9. ENSAYOS REALIZADOS A LOS CILINDROS DE CONCRETO CON ADICIÓN Y SIN ADICIÓN DE FIBRA DE ACERO. 10. ANÁLISIS DE RESULTADOS. 11. CONCLUSIONES. 12. BIBLIOGRAFÍA.PregradoIngeniero Civi

Chemical control of rice brown spot (Bipolaris oryzae) in Paraguay

Rice brown spot produced by Bipolaris oryzae is one of the most prevalent fungal diseases in Paraguay and it is associated with rice brown spot, which can decrease yield and seed quality. The research work was carried out in the 2016 crop season in the experimental plot of a private rice producer, located on the district of San Juan Bautista, department of Misiones, Paraguay with the aim of evaluating fungicides for the control of rice brown spot and its effect on yield crop.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

Do we follow the money? The drivers of migration across regions in the EU

Most immigration theories tend to highlight that migration follows wealth and economic dynamism, but is this also the case across regions in Europe? The aim of the paper is to investigate whether migrants in Europe indeed follow the money and to contrast this with a variety of potential alternative explanations, including the presence of migrants from a similar origin. The analysis is based on panel data estimations including 133 European regions over a time period of 17 years. Different lag structures have been employed in order to distinguish between short- and long-run effects. The results cast some doubt about the prominence of pecuniary factors as a determinant of cross regional migration in Europe, with little evidence to support the idea that migration follows economic dynamism. Network effects, human capital related-, and ‘territorially embedded’ innovation enhancing regional characteristics, by contrast, seem to play a much stronger role than hitherto considered

Regression with Variable Dimension Covariates

Regression is one of the most fundamental statistical inference problems. A broad definition of regression problems is as estimation of the distribution of an outcome using a family of probability models indexed by covariates. Despite the ubiquitous nature of regression problems and the abundance of related methods and results there is a surprising gap in the literature. There are no well established methods for regression with a varying dimension covariate vectors, despite the common occurrence of such problems. In this paper we review some recent related papers proposing varying dimension regression by way of random partitions

Tall-and-skinny QR factorization with approximate Householder reflectors on graphics processors

[EN] We present a novel method for the QR factorization of large tall-and-skinny matrices that introduces an approximation technique for computing the Householder vectors. This approach is very competitive on a hybrid platform equipped with a graphics processor, with a performance advantage over the conventional factorization due to the reduced amount of data transfers between the graphics accelerator and the main memory of the host. Our experiments show that, for tall¿skinny matrices, the new approach outperforms the code in MAGMA by a large margin, while it is very competitive for square matrices when the memory transfers and CPU computations are the bottleneck of the Householder QR factorizationThis research was supported by the Project TIN2017-82972-R from the MINECO (Spain) and the EU H2020 Project 732631 "OPRECOMP. Open Transprecision Computing".Tomás Domínguez, AE.; Quintana-Ortí, ES. (2020). Tall-and-skinny QR factorization with approximate Householder reflectors on graphics processors. The Journal of Supercomputing (Online). 76(11):8771-8786. https://doi.org/10.1007/s11227-020-03176-3S877187867611Abdelfattah A, Haidar A, Tomov S, Dongarra J (2018) Analysis and design techniques towards high-performance and energy-efficient dense linear solvers on GPUs. IEEE Trans Parallel Distrib Syst 29(12):2700–2712. https://doi.org/10.1109/TPDS.2018.2842785Ballard G, Demmel J, Grigori L, Jacquelin M, Knight N, Nguyen H (2015) Reconstructing Householder vectors from tall-skinny QR. J Parallel Distrib Comput 85:3–31. https://doi.org/10.1016/j.jpdc.2015.06.003Barrachina S, Castillo M, Igual FD, Mayo R, Quintana-Ortí ES (2008) Solving dense linear systems on graphics processors. In: Luque E, Margalef T, Benítez D (eds) Euro-Par 2008—parallel processing. 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ACM Trans Math Softw 35(2):12:1–12:28. https://doi.org/10.1145/1377612.1377616Fukaya T, Nakatsukasa Y, Yanagisawa Y, Yamamoto Y (2014) CholeskyQR2: A simple and communication-avoiding algorithm for computing a tall-skinny QR factorization on a large-scale parallel system. In: 2014 5th workshop on latest advances in scalable algorithms for large-scale systems, pp 31–38. https://doi.org/10.1109/ScalA.2014.11Fukaya T, Kannan R, Nakatsukasa Y, Yamamoto Y, Yanagisawa Y (2018) Shifted CholeskyQR for computing the QR factorization of ill-conditioned matrices, arXiv:1809.11085Golub G, Van Loan C (2013) Matrix computations. Johns Hopkins studies in the mathematical sciences. Johns Hopkins University Press, BaltimoreGunter BC, van de Geijn RA (2005) Parallel out-of-core computation and updating the QR factorization. ACM Trans Math Softw 31(1):60–78. https://doi.org/10.1145/1055531.1055534Joffrain T, Low TM, Quintana-Ortí ES, Rvd Geijn, Zee FGV (2006) Accumulating householder transformations, revisited. ACM Trans Math Softw 32(2):169–179. https://doi.org/10.1145/1141885.1141886Puglisi C (1992) Modification of the householder method based on the compact WY representation. SIAM J Sci Stat Comput 13(3):723–726. https://doi.org/10.1137/0913042Saad Y (2003) Iterative methods for sparse linear systems, 3rd edn. Society for Industrial and Applied Mathematics, PhiladelphiaSchreiber R, Van Loan C (1989) A storage-efficient WY representation for products of householder transformations. SIAM J Sci Comput 10(1):53–57. https://doi.org/10.1137/0910005Stathopoulos A, Wu K (2001) A block orthogonalization procedure with constant synchronization requirements. SIAM J Sci Comput 23(6):2165–2182. https://doi.org/10.1137/S1064827500370883Strazdins P (1998) A comparison of lookahead and algorithmic blocking techniques for parallel matrix factorization. Tech. Rep. TR-CS-98-07, Department of Computer Science, The Australian National University, Canberra 0200 ACT, AustraliaTomás Dominguez AE, Quintana Orti ES (2018) Fast blocking of householder reflectors on graphics processors. In: 2018 26th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp 385–393. https://doi.org/10.1109/PDP2018.2018.00068Volkov V, Demmel JW (2008) LU, QR and Cholesky factorizations using vector capabilities of GPUs. Tech. Rep. 202, LAPACK Working Note. http://www.netlib.org/lapack/lawnspdf/lawn202.pdfYamamoto Y, Nakatsukasa Y, Yanagisawa Y, Fukaya T (2015) Roundoff error analysis of the Cholesky QR2 algorithm. Electron Trans Numer Anal 44:306–326Yamazaki I, Tomov S, Dongarra J (2015) Mixed-precision Cholesky QR factorization and its case studies on multicore CPU with multiple GPUs. SIAM J Sci Comput 37(3):C307–C330. https://doi.org/10.1137/14M097377

Prevalence of fungi associated with rice leaf spot in the main rice-growing areas in Paraguay

The objective of this study was to determine the prevalence of fungal species associated with rice leaf spot on the main rice-growing area of the country in the years 2016 and 2017.CONACYT – Consejo Nacional de Ciencia y TecnologíaPROCIENCI

A survey on machine learning for recurring concept drifting data streams

The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks affecting their generative processes. In this survey, we review the relevant literature to deal with regime changes in the behaviour of continuous data streams. The study starts with a general introduction to the field of data stream learning, describing recent works on passive or active mechanisms to adapt or detect concept drifts, frequent challenges in this area, and related performance metrics. Then, different supervised and non-supervised approaches such as online ensembles, meta-learning and model-based clustering that can be used to deal with seasonalities in a data stream are covered. The aim is to point out new research trends and give future research directions on the usage of machine learning techniques for data streams which can help in the event of shifts and recurrences in continuous learning scenarios in near real-time