Using GIS modelling to assess accessibility improvements and its potential indirect effects on the environment due to transport infrastructure plans development

The Strategic Environmental Assessment Directive (2001/42/EU) establishes that the Environmental Report must include the identification and evaluation of the likely significant effects on the environment of implementing the Plan or Programme due to be studied. Transport Plans usually generate accessibility improvements or facilitate access between two given points on the territory. One indirect impact that this action implies is a likely pressure increase in those areas where a great improvement in their accessibility is gained, mainly through high speed motorways. This new pressure comes from the sudden and sometimes messy attraction of potential activities that could vary from industrial, agriculture or services sectors, an increase of tourism or recreational activities..., and the appearance or intensification of residential demand, including secondary or recreational houses. The Transport Research Centre of the polytechnic University ofMadrid (TRANSyT) has coordinated a research project, financed by the Ministry of Public Works, which its main objective has led to obtain, develop and analyse interdisciplinary information to assist on a better infrastructure planning process. In the framework of this project, a methodology has been proposed to assess potential indirect impacts on the environment caused by transport infrastructure developing in previously semi-isolated areas. The process involves the computation of accessibility indices based on travel time estimations on road and railway networks in conjunction with its combination with Natural Quality cartography, also developed through an ad-hoc methodology. Two analyses have been performed using Iberian transport networks, both for 1992 and 2004, which were later crossed with the Natural Quality cartography obtained in a previous stage of the project. In the light of these analyses, the performance capacity of the Geographic Information Systems is proven and highlighted, concluding that this methodology is suitable for planning improvement

Computed tomography medical image reconstruction on affordable equipment by using Out-Of-Core techniques

[EN] Background and objective: As Computed Tomography scans are an essential medical test, many techniques have been proposed to reconstruct high-quality images using a smaller amount of radiation. One approach is to employ algebraic factorization methods to reconstruct the images, using fewer views than the traditional analytical methods. However, their main drawback is the high computational cost and hence the time needed to obtain the images, which is critical in the daily clinical practice. For this reason, faster methods for solving this problem are required. Methods: In this paper, we propose a new reconstruction method based on the QR factorization that is very efficient on affordable equipment (standard multicore processors and standard Solid-State Drives) by using Out-Of-Core techniques. Results: Combining both affordable hardware and the new software proposed in our work, the images can be reconstructed very quickly and with high quality. We analyze the reconstructions using real Computed Tomography images selected from a dataset, comparing the QR method to the LSQR and FBP. We measure the quality of the images using the metrics Peak Signal-To-Noise Ratio and Structural Similarity Index, obtaining very high values. We also compare the efficiency of using spinning disks versus Solid-State Drives, showing how the latter performs the Input/Output operations in a significantly lower amount of time. Conclusions: The results indicate that our proposed me thod and software are valid to efficiently solve large-scale systems and can be applied to the Computed Tomography reconstruction problem to obtain high-quality images.This research has been supported by "Universitat Politecnica de Valencia", "Generalitat Valenciana" under PROMETEO/2018/035 and ACIF/2017/075, co-financed by FEDER and FSE funds, and the "Spanish Ministry of Science, Innovation and Universities" under Grant RTI2018-098156-B-C54 co-financed by FEDER funds.Chillarón-Pérez, M.; Quintana Ortí, G.; Vidal-Gimeno, V.; Verdú Martín, GJ. (2020). Computed tomography medical image reconstruction on affordable equipment by using Out-Of-Core techniques. Computer Methods and Programs in Biomedicine. 193:1-11. https://doi.org/10.1016/j.cmpb.2020.105488S111193Berrington de González, A. (2009). Projected Cancer Risks From Computed Tomographic Scans Performed in the United States in 2007. Archives of Internal Medicine, 169(22), 2071. doi:10.1001/archinternmed.2009.440HALL, E. J., & BRENNER, D. J. (2008). Cancer risks from diagnostic radiology. The British Journal of Radiology, 81(965), 362-378. doi:10.1259/bjr/01948454Tang, X., Hsieh, J., Nilsen, R. A., Dutta, S., Samsonov, D., & Hagiwara, A. (2006). A three-dimensional-weighted cone beam filtered backprojection (CB-FBP) algorithm for image reconstruction in volumetric CT—helical scanning. Physics in Medicine and Biology, 51(4), 855-874. doi:10.1088/0031-9155/51/4/007Zhuang, T., Leng, S., Nett, B. E., & Chen, G.-H. (2004). Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data. Physics in Medicine and Biology, 49(24), 5489-5503. doi:10.1088/0031-9155/49/24/007Mori, S., Endo, M., Komatsu, S., Kandatsu, S., Yashiro, T., & Baba, M. (2006). A combination-weighted Feldkamp-based reconstruction algorithm for cone-beam CT. Physics in Medicine and Biology, 51(16), 3953-3965. doi:10.1088/0031-9155/51/16/005Willemink, M. J., de Jong, P. A., Leiner, T., de Heer, L. M., Nievelstein, R. A. J., Budde, R. P. J., & Schilham, A. M. R. (2013). Iterative reconstruction techniques for computed tomography Part 1: Technical principles. European Radiology, 23(6), 1623-1631. doi:10.1007/s00330-012-2765-yWillemink, M. J., Leiner, T., de Jong, P. A., de Heer, L. M., Nievelstein, R. A. J., Schilham, A. M. R., & Budde, R. P. J. (2013). Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality. European Radiology, 23(6), 1632-1642. doi:10.1007/s00330-012-2764-zWu, W., Liu, F., Zhang, Y., Wang, Q., & Yu, H. (2019). Non-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction. IEEE Transactions on Medical Imaging, 38(4), 1079-1093. doi:10.1109/tmi.2018.2878226Wu, W., Zhang, Y., Wang, Q., Liu, F., Chen, P., & Yu, H. (2018). Low-dose spectral CT reconstruction using image gradient ℓ0–norm and tensor dictionary. Applied Mathematical Modelling, 63, 538-557. doi:10.1016/j.apm.2018.07.006Andersen, A. H. (1989). Algebraic reconstruction in CT from limited views. IEEE Transactions on Medical Imaging, 8(1), 50-55. doi:10.1109/42.20361Andersen, A. H., & Kak, A. C. (1984). Simultaneous Algebraic Reconstruction Technique (SART): A Superior Implementation of the Art Algorithm. Ultrasonic Imaging, 6(1), 81-94. doi:10.1177/016173468400600107Yu, W., & Zeng, L. (2014). A Novel Weighted Total Difference Based Image Reconstruction Algorithm for Few-View Computed Tomography. PLoS ONE, 9(10), e109345. doi:10.1371/journal.pone.0109345Flores, L., Vidal, V., & Verdú, G. (2015). Iterative Reconstruction from Few-view Projections. Procedia Computer Science, 51, 703-712. doi:10.1016/j.procs.2015.05.188Flores, L. A., Vidal, V., Mayo, P., Rodenas, F., & Verdú, G. (2014). Parallel CT image reconstruction based on GPUs. Radiation Physics and Chemistry, 95, 247-250. doi:10.1016/j.radphyschem.2013.03.011Chillarón, M., Vidal, V., Segrelles, D., Blanquer, I., & Verdú, G. (2017). Combining Grid Computing and Docker Containers for the Study and Parametrization of CT Image Reconstruction Methods. Procedia Computer Science, 108, 1195-1204. doi:10.1016/j.procs.2017.05.065Sollmann, N., Mei, K., Schwaiger, B. J., Gersing, A. S., Kopp, F. K., Bippus, R., … Baum, T. (2018). Effects of virtual tube current reduction and sparse sampling on MDCT-based femoral BMD measurements. Osteoporosis International, 29(12), 2685-2692. doi:10.1007/s00198-018-4675-6Yan Liu, Zhengrong Liang, Jianhua Ma, Hongbing Lu, Ke Wang, Hao Zhang, & Moore, W. (2014). Total Variation-Stokes Strategy for Sparse-View X-ray CT Image Reconstruction. IEEE Transactions on Medical Imaging, 33(3), 749-763. doi:10.1109/tmi.2013.2295738Tang, J., Nett, B. E., & Chen, G.-H. (2009). Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms. Physics in Medicine and Biology, 54(19), 5781-5804. doi:10.1088/0031-9155/54/19/008Vandeghinste, B., Vandenberghe, S., Vanhove, C., Staelens, S., & Van Holen, R. (2013). Low-Dose Micro-CT Imaging for Vascular Segmentation and Analysis Using Sparse-View Acquisitions. PLoS ONE, 8(7), e68449. doi:10.1371/journal.pone.0068449Qi, H., Chen, Z., & Zhou, L. (2015). CT Image Reconstruction from Sparse Projections Using Adaptive TpV Regularization. Computational and Mathematical Methods in Medicine, 2015, 1-8. doi:10.1155/2015/354869Wu, W., Chen, P., Vardhanabhuti, V. V., Wu, W., & Yu, H. (2019). Improved Material Decomposition With a Two-Step Regularization for Spectral CT. IEEE Access, 7, 158770-158781. doi:10.1109/access.2019.2950427Rodriguez-Alvarez, M. J., Sanchez, F., Soriano, A., Moliner, L., Sanchez, S., & Benlloch, J. (2018). QR-Factorization Algorithm for Computed Tomography (CT): Comparison With FDK and Conjugate Gradient (CG) Algorithms. IEEE Transactions on Radiation and Plasma Medical Sciences, 2(5), 459-469. doi:10.1109/trpms.2018.2843803Chillarón, M., Vidal, V., & Verdú, G. (2020). CT image reconstruction with SuiteSparseQR factorization package. Radiation Physics and Chemistry, 167, 108289. doi:10.1016/j.radphyschem.2019.04.039Joseph, P. M. (1982). An Improved Algorithm for Reprojecting Rays through Pixel Images. IEEE Transactions on Medical Imaging, 1(3), 192-196. doi:10.1109/tmi.1982.4307572S. Toledo, F. Gustavson, The design and implementation of solar, a portable library for scalable out-of-core linear algebra computations, in: Proceedings of the Annual Workshop on I/O in Parallel and Distributed Systems, IOPADS,D’Azevedo, E., & Dongarra, J. (2000). The design and implementation of the parallel out-of-core ScaLAPACK LU, QR, and Cholesky factorization routines. Concurrency: Practice and Experience, 12(15), 1481-1493. doi:10.1002/1096-9128(20001225)12:153.0.co;2-vGunter, B. C., & Van De Geijn, R. A. (2005). Parallel out-of-core computation and updating of the QR factorization. ACM Transactions on Mathematical Software, 31(1), 60-78. doi:10.1145/1055531.1055534Quintana-Ortí, G., Igual, F. D., Marqués, M., Quintana-Ortí, E. S., & van de Geijn, R. A. (2012). A Runtime System for Programming Out-of-Core Matrix Algorithms-by-Tiles on Multithreaded Architectures. ACM Transactions on Mathematical Software, 38(4), 1-25. doi:10.1145/2331130.2331133Marqués, M., Quintana-Ortí, G., Quintana-Ortí, E. S., & van de Geijn, R. (2010). Using desktop computers to solve large-scale dense linear algebra problems. The Journal of Supercomputing, 58(2), 145-150. doi:10.1007/s11227-010-0394-2G. Lauritsch, H. Bruder, FORBILD head phantom, http://www.imp.uni-erlangen.de/phantoms/head/head.html.Yan, K., Wang, X., Lu, L., & Summers, R. M. (2018). DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning. Journal of Medical Imaging, 5(03), 1. doi:10.1117/1.jmi.5.3.036501Miqueles, E., Koshev, N., & Helou, E. S. (2018). A Backprojection Slice Theorem for Tomographic Reconstruction. IEEE Transactions on Image Processing, 27(2), 894-906. doi:10.1109/tip.2017.2766785N. Koshev, E.S. Helou, E.X. Miqueles, Fast backprojection techniques for high resolution tomographyarXiv preprint: 1608.03589

Few-View CT Image Reconstruction via Least-Squares Methods: Assessment and Optimization

[EN] The use of iterative algebraic methods applied to the reconstruction of computed tomography (CT) medical images is proliferating to reconstruct high-quality CT images using far fewer views than through analytical methods. This would imply reducing the dose of X-rays applied to patients who require this medical test. Least-squares methods are a promising approach to reconstruct the images with few projections obtaining high quality. In addition, since these techniques involve a high computational load, it is necessary to develop efficient methods that make use of high-performance-computing tools to accelerate reconstructions. In this paper, three least-squares methods are analyzed-Least-Squares Model Based (LSMB), Least-Squares QR (LSQR), and Least-Squares Minimal Residual (LSMR)-to determine whether the LSMB method provides faster convergence and thus lower computational times. Moreover, a block version of both the LSQR method and the LSMR method was implemented. With them, multiple right-hand sides (multiple slices) can be solved at the same time, taking advantage of the parallelism obtained with the implementation of the methods using the Intel Math Kernel Library. The two implementations are compared in terms of convergence, time, and quality of the images obtained, reducing the number of projections and combining them with a regularization and acceleration technique. The experiments show how the implementations are scalable and obtain images of good quality from a reduced number of views, with the LSQR method being better suited for this application.This research has been supported by "Universitat Politecnica de Valencia" and is part of the TED2021-131091B-I00 project, funded by MCIN/AEI/10.13039/501100011033 and by the "European Union NextGenerationEU/PRTR."Chillarón-Pérez, M.; Vidal-Gimeno, V.; Verdú Martín, GJ.; Quintana-Ortí, G. (2024). Few-View CT Image Reconstruction via Least-Squares Methods: Assessment and Optimization. Nuclear Science and Engineering. 198(2):193-206. https://doi.org/10.1080/00295639.2023.2199677193206198

Prognostic value of ACE I/D, AT1R A1166C, PAI-I 4G/5G and GPIIIa a1/a2 polymorphisms in myocardial infarction

Background: Coronary artery disease (CAD) has turned into a prevalent cause of morbi-mortality contributing some polymorphisms in the recurrence of major adverse cardiac events (MACE).Methods: Three hundred and fifty six patients with first myocardial infarction (MI) were followed up during a 60-month period to find out if ACE I/D, AT1R A1166C, PAI-I 4G/5G and GPIIIa a1/a2 polymorphisms, in combination with other classical cardiovascular risk factors, can contribute to the relapse of MACE.Results: Two hundred and eighty five (80.1%) men and 71 (19.9%) women were followed up after first MI. The primary clinical endpoint, a composite of MACE, was reached in 106 (29.8%) patients. In the Cox univariate survival analysis those risk factors influencing a poorer prognosis were age (p = 0.004), a positive family history of CAD (p = 0.007), diabetes (p = 0.004), smoking (p = 0.024), fibrinolytic therapy (p = 0.012) and having 2 or 3 vessels CAD (p = 0.046). Cox proportional hazards regression model showed that patients with the DD genotype had a 1.5 increased risk of having an unfavorable outcome when compared with No-DD genotype patients (RR 1.561, 95% CI 1.048–2.326, p = 0.028) and that patients with the ACE DD genotype plus the AT1R No-AA genotype, the GPIIIa No-a1a1 genotype or a combination of both, had a twice higher risk than any other genotype of MACE in the follow-up (RR 1.978, 95% CI 1.286–3.043, p = 0.002).Conclusions: Patients with the ACE DD genotype plus 1 or 2 unfavorable genotypes, the AT1R No-AA, the GPIIIa No-a1a1 or a combination of both, have twice higher the risk of MACE during their clinical follow-up.

Urbanismo desde el paisaje

El taller de proyectos de urbanismo y paisaje, una experiencia docente en la ETS de Arquitectura En este libro se recoge una selección de trabajos realizados por estudiantes de arquitectura en la asignatura Urbanística 3, que pertenece al cuarto curso de los estudios del Grado en Fundamentos de la Arquitectura, titulación impartida en la Universidad Politécnica de Valencia. En el Taller de Urbanismo, grupo docente al que pertenecen los autores de este libro, los contenidos de la asignatura Urbanística 3 se estructuran en dos grandes bloques temáticos, que se desarrollan en el primero y segundo semestre respectivamente. El primer bloque es de introducción al planeamiento urbano y territorial, y en el segundo se abordan los proyectos de obra civil, urbanización, jardinería y paisaje. Expondremos a continuación los contenidos teóricos y prácticos asociados a cada uno de estos dos bloques.Pérez Igualada, J.; Casañ Llopis, VJ.; Quintana Seguí, E.; Díez Torrijos, I. (2023). Urbanismo desde el paisaje. http://hdl.handle.net/10251/19444

Papel del método biplot canónico en el estudio de compuestos volátiles en quesos de composición variable

The canonical biplot method (CB) is used to determine the discriminatory power of volatile chemical compounds in cheese. These volatile compounds were used as variables in order to differentiate among 6 groups or populations of cheeses (combinations of two seasons (winter and summer) with 3 types of cheese (cow, sheep and goat’s milk). We analyzed a total of 17 volatile compounds by means of gas chromatography coupled with mass detection. The compounds included aldehydes and methyl-aldehydes, alcohols (primary, secondary and branched chain), ketones, methyl-ketones and esters in winter (WC) and summer (SC) cow’s cheeses, winter (WSh) and summer (SSh) sheep’s cheeses and in winter (WG) and summer (SG) goat’s cheeses. The CB method allows differences to be found as a function of the elaboration of the cheeses, the seasonality of the milk, and the separation of the six groups of cheeses, characterizing the specific volatile chemical compounds responsible for such differences.El m.todo biplot can.nico (CB) se utiliza para determinar el poder discriminatorio de compuestos qu.micos vol.tiles en queso. Los compuestos vol.tiles se utilizan como variables con el fin de diferenciar entre los 6 grupos o poblaciones de quesos (combinaciones de dos temporadas (invierno y verano) con 3 tipos de queso (vaca, oveja y cabra). Se analizan un total de 17 compuestos vol.tiles por medio de cromatograf.a de gases acoplada con detecci.n de masas. Los compuestos incluyen aldeh.dos y metil-aldeh.dos, alcoholes (primarios de cadena, secundaria y ramificada), cetonas, metil-cetonas y .steres. Los seis grupos de quesos son, quesos de vaca de invierno (WC) y verano (SC); quesos de oveja de invierno (WSh) y verano (SSh) y quesos de cabra de invierno (WG) y verano (SG). El m.todo CB permite la separaci.n de los seis grupos de quesos y encontrar las diferencias en funci.n del tipo y estacionalidad de la leche, caracterizando los compuestos qu.micos vol.tiles espec.ficos responsables de tales diferencias

Estado cualitativo y cuantitativo óseo generalizado en la osteonecrosis de maxilares. Efecto de los bifosfonatos

Objetivo: La osteonecrosis de maxilares (ONM) es una enfermedad recientemente descrita cuya etiopatogenia es desconocida, aunque se ha atribuido, entre otras causas, al tratamiento prolongado con bifosfonatos. Sin embargo, mientras que la ONM es una patología localizada, la acción de los bifosfonatos es generalizada, es decir, afecta a todos los huesos. No hay estudios que muestren el estado óseo general de los pacientes con ONM. Con este trabajo hemos querido estudiar en pacientes afectos de ONM dicho estado general mediante medidas cuantitativas y estimaciones cualitativas del hueso por medio de la densidad mineral ósea (DMO) y el trabecular bone score (TBS) y los parámetros ultrasonográficos en el calcáneo (QUS), además de la presencia de otras enfermedades y la toma de fármacos (especialmente los bifosfonatos) en los pacientes con ONM que pudieran participar en su etiopatogenia. Material y método: Estudio observacional y transversal de casos y controles, realizado en 304 pacientes de ambos sexos, en los que el grupo de casos (grupo I) estaba formado por 24 pacientes que habían sufrido una ONM, mientras que el grupo control (grupo II) estaba formado por 280 pacientes que no presentaban ONM y que recibían bifosfonatos desde un mínimo de 5 años por causas diversas. A todos ellos se les realizó una densitometría ósea (DXA, Hologic 4500 Discovery®) en la columna lumbar y en la extremidad proximal del fémur. Además, se les realizó mediciones del TBS en la columna lumbar, así como de los parámetros ultrasonográficos en el calcáneo (Hologic, Sahara®) en el pie dominante (QUS). Resultados: Los pacientes afectos de ONM tenían una mayor comorbilidad que los controles, con una mayor prevalencia de las siguientes enfermedades: diabetes mellitus, cáncer, artritis reumatoide, hipertiroidismo, cardiopatía, arritmias, insuficiencia cardíaca e hipercolesterolemia. Por ello, el consumo de corticoides, (orales e inhalados), anticoagulantes, hipnóticos, bifosfonatos i.v. (zoledronato), y quimioterapia antineoplásica fue también mayor entre los pacientes afectos de ONM que los pacientes controles. Sin embargo, entre los pacientes con ONM el porcentaje que tomaba bifosfonatos orales fue menor. Los valores densitométricos (DMO medida en la columna lumbar L2‐L4, cuello femoral y total de cadera) fueron más elevados en los pacientes con ONM en comparación con los de los controles. El TBS no mostró diferencias estadísticamente significativas entre ambos grupos, y los ultrasonidos presentaron valores más elevados de QUI y SOS en los pacientes con ONM que en los controles. La prevalencia de fracturas por fragilidad fue similar en ambos grupos. Conclusiones: Nuestros pacientes afectos de ONM mostraron una mayor comorbilidad y un mayor consumo de fármacos que los pacientes del grupo control, a excepción de bifosfonatos orales. Por otro lado, tanto la DMO como los parámetros ultrasonográficos mostraron valores más elevados en los pacientes con ONM que los controles. Si consideramos la DXA como una técnica medidora de la cantidad de masa ósea, y el TBS y la ultrasonografía de calcáneo técnicas estimadoras de aspectos cualitativos del hueso, podemos suponer que ni la cantidad ni la calidad óseas en general parecen estar afectadas en la ONM, siendo probablemente otro su mecanismo etiopatogénico. Los bifosfonatos orales no parecen estar entre los fármacos que participen en la etiología de la ONM, aunque sí los bifosfonatos más potentes que se administran por vía intravenosa, si bien no pueden considerarse independientemente de la patología subyacente para la cual se administran

Assessing alcohol consumption through wastewater-based epidemiology: Spain as a case study

Background In this study, an alternative and complementary method to those approaches currently used to estimate alcohol consumption by the population is described. This method, known as wastewater-based epidemiology (WBE), allows back-calculating the alcohol consumption rate in a given population from the concentrations of a selected biomarker measured in wastewater. Methods Composite (24-h) wastewater samples were collected at the inlet of 17 wastewater treatment plants located in 13 Spanish cities for seven consecutive days in 2018. The sampled area covered 12.8% of the Spanish population. Wastewater samples were analyzed to determine the concentration of ethyl sulfate, the biomarker used to back-calculate alcohol consumption. Results Alcohol consumption ranged from 4.5 to 46 mL/day/inhabitant. Differences in consumption were statistically significant among the investigated cities and between weekdays and weekends. WBE-derived estimates of alcohol consumption were comparable to those reported by its corresponding region in the Spanish National Health Survey in most cases. At the national level, comparable results were obtained between the WBE-derived annual consumption rate (5.7 ± 1.2 L ethanol per capita (aged 15+)) and that reported by the National Health Survey (4.7 L ethanol per capita (aged 15+)). Conclusions This is the largest WBE study carried out to date in Spain to estimate alcohol consumption rates. It confirms that this approach is useful for establishing spatial and temporal patterns of alcohol consumption, which could contribute to the development of health care management plans and policies. Contrary to established methods, it allows obtaining information in a fast and relatively economical wayThis work has been supported by the Spanish State Research Agency (AEI) (This work has been supported by the Spanish State Research Agency , CTM2017-84763-C3-1-R, CTM2017-84763-C3-3-R and CTM2017-84763-C3-2-R), Generalitat de Catalunya (expedient number SA-2018-780 and Consolidated Research Group 2017 SGR 01404-Water and Soil Quality Unit), and Galician Council of Culture, Education and Universities (ED481D 2017/003 and EM2014/004). Several of these projects are cofounded by the European Regional Development FundS

Diseño y elaboración de modelos anatomía normal y patológicos del sistema cardiovascular fetal mediante impresión 3D

Depto. de Salud Pública y Materno - InfantilFac. de MedicinaFALSEsubmitte

The impact from survey depth and resolution on the morphological classification of galaxies

We consistently analyse for the first time the impact of survey depth and spatial resolution on the most used morphological parameters for classifying galaxies through non-parametric methods: Abraham and Conselice-Bershady concentration indices, Gini, M20moment of light, asymmetry, and smoothness. Three different non-local data sets are used, Advanced Large Homogeneous Area Medium Band Redshift Astronomical (ALHAMBRA) and Subaru/XMMNewton Deep Survey (SXDS, examples of deep ground-based surveys), and Cosmos Evolution Survey (COSMOS, deep space-based survey). We used a sample of 3000 local, visually classified galaxies, measuring their morphological parameters at their real redshifts (z ~ 0). Then we simulated them to match the redshift and magnitude distributions of galaxies in the non-local surveys. The comparisons of the two sets allow us to put constraints on the use of each parameter for morphological classification and evaluate the effectiveness of the commonly used morphological diagnostic diagrams. All analysed parameters suffer from biases related to spatial resolution and depth, the impact of the former being much stronger. When including asymmetry and smoothness in classification diagrams, the noise effects must be taken into account carefully, especially for ground-based surveys. M20 is significantly affected, changing both the shape and range of its distribution at all brightness levels. We suggest that diagnostic diagrams based on 2-3 parameters should be avoided when classifying galaxies in ground-based surveys, independently of their brightness; for COSMOS they should be avoided for galaxies fainter than F814 = 23.0. These results can be applied directly to surveys similar to ALHAMBRA, SXDS and COSMOS, and also can serve as an upper/lower limit for shallower/deeper ones.MP acknowledge financial support from JAE-Doc programme of the Spanish National Research Council (CSIC), co-funded by the European Social Fund. This research was supported by the Junta de Andalucia through project TIC114, and the Spanish Ministry of Economy and Competitiveness (MINECO) through projects AYA2010-15169, AYA2013-42227-P, and AYA2013-43188-P.Peer Reviewe