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University of La Laguna

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2024
1970 2024
2997 results
  • NEW DYNAMIC SCORING METHOD FOR DEEP EVALUATION OF NALOXEGOL AS Β-TUBULIN BINDING INHIBITOR
    Dataset of Computer Aided Drug Design (CADD) and Molecular Dynamics (MD) operations for article, titled "NEW DYNAMIC SCORING METHOD FOR DEEP EVALUATION OF NALOXEGOL AS Β-TUBULIN BINDING INHIBITOR"
    • Dataset
  • Evolution and Trends in Research on Family Digital Leisure: A Bibliometric Analysis
    This repository contains the database used for the development of the study "Evolution and Trends in Research on Family Digital Leisure: A Bibliometric Analysis" followed the PRISMA 2020 Protocol. This study aims to analyze the evolution of the field of research on family digital leisure from 2012 to 2022. The analysis, conducted through a bibliometric approach, seeks to identify trends, changes, and emerging patterns in scientific literature. To achieve this purpose, two specific objectives were established. First, the temporal evolution of the field was explored, evaluating the variation in scientific production and academic attention over the last decade. Second, emerging themes and thematic groups that have gained relevance in scientific literature were identified. On January 31, 2023, a search was conducted in the topic section (abstract, title, and keywords) of the Web of Science (WoS), Clarivate Analytics, and Scopus Main Collection. The descriptors used were: (leisure OR game OR entertainment) AND (digital OR internet OR online OR cyber OR technolg* OR ICT OR ICTs) AND (family). This search was limited to the years 2012-2022. The initial search generated 2953 results, which, after removing duplicates, were reduced to 1843 documents. These were subjected to the following inclusion criteria: (1) being articles or reviews and (2) having been published between 2012 and 2022. Consequently, chapters of books, conference papers, and other formats were excluded, as well as scientific production accepted for publication in 2023 (early or advance access). Finally, 1381 documents were obtained to carry out the bibliometric study.
    • Dataset
  • FPS application of the article "Nanite as a Disruptive Technology for the Interactive Visualisation of Cultural Heritage 3D Models: A Case Study"
    This is the self-running application that allows you to compare the graphical performance of your PC when using photogrammetric 3D models, NANITE models and models under mesh retopology. The development of this application is part of the work published in the article "Nanite as a Disruptive Technology for the Interactive Visualisation of Cultural Heritage 3D Models: A Case Study". The instructions for use are inside the file.
    • Dataset
  • FPS application of the article "Retopología de mallas aplicada a modelos 3D de patrimonio cultural para la mejora de la visualización interactiva en realidad virtual y realidad aumentada"
    This is the self-running application that allows you to compare the graphical performance of your PC when using photogrammetric 3D models and models under mesh retopology. The development of this application is part of the work published in the article "Retopología de mallas aplicada a modelos 3D de patrimonio cultural para la mejora de la visualización interactiva en realidad virtual y realidad aumentada". The instructions for use are inside the file.
    • Dataset
  • Preventive releases of phytoseiid and anthocorid predators provided with supplemental food successfully control Scirtothrips in strawberry
    Thrips of the subtropical genus Scirtothrips are emerging as important pests in several crops. Scirtothrips dorsalis has been increasingly invading new areas outside of its native region of South and East Asia causing economic damage to several crops. Scirtothrips inermis is another polyphagous species with worldwide distribution. Both species are polyphagous, and in recent years have emerged as key pests in strawberry. In this study, we first evaluated the predation and oviposition rate of commercially available phytoseiid predatory mites Amblyseius swirskii, Amblydromalus limonicus, Transeius montdorensis, and Neoseiulus cucumeris on larval stages of both Scirtothrips species, and oviposition rates of predatory mites on the supplementary food source Artemia franciscana cysts were also assessed. Predatory mites equally accepted both thrips species as prey and showed stable oviposition rates on these diets. Amblyseius swirskii and A. limonicus were the most voracious, also exhibiting the highest oviposition rate of the predators tested. We further evaluated the biological control potential of predatory mites and anthocorid predators Orius laevigatus and Orius limbatus in a greenhouse experiment. Predators were released preventively and supported with Artemia cysts before the introduction of S. inermis . Both Orius predators achieved good control of the pest, with O. limbatus developing higher numbers than O. laevigatus . Regarding phytoseiids, A. swirskii and A. limonicus both controlled the pest and built higher populations than T. montdorensis and N. cucumeris . Our results show that a preventive strategy based on phytoseiid or anthocorid predators in strawberry can be effective in suppressing S. inermis .
    • Dataset
  • CVRP random instances
    Randomly generated CVRP intances with these characteristics: - TSPLIB format - node coordinates in [0, 100] x [0, 100] - demands in [1, 25] - Q = 100
    • Dataset
  • El duelo y la continuidad de vínculos
    Se presenta el artículo original titulado "Adaptación al español y validación de la Escala de Continuidad de Vínculos (ECV) con el ser querido fallecido" , producto de una investigación que tuvo por objetivo adaptar al español la ECV y evaluar propiedades psicométricas de validez y fiabilidad. La información de las personas participantes está protegida bajo los principios de confidencialidad y privacidad de acuerdo con las consideraciones éticas vigentes.
    • Dataset
  • New benchmark instances for the Cross-Dock Door Assignment Problem
    New benchmark instances for the Cross-Dock Door Assignment Problem (CDAP), with instances from 8 origins and destinations and 4 inbound and outbound doors up to 50 origins and destinations and 30 inbound and outbound doors. The instances have been obtained following the criteria of the paper by Nassief et al. (2016). First of all, the number of pallets to be moved from a supplier to a customer is randomly generated by using a uniform distribution U[10, 50] until reaching density values set to 25, 35, 50, and 75%. Each inbound truck sends pallets at least to one outgoing truck and each outgoing truck receives pallets from at least one incoming truck. The distance matrix is generated with numbers from the interval [8, 8 + |I|- 1], meaning that a direct distance between two doors is equal to 8, and then an increment of 1 unit is added for the next indirect door. The number of considered incoming/outgoing trucks is 8, 9, 10, 11, 12, 15, 20, and 50. The number of considered inbound/outbound doors is 4, 5, 6, 7, 10, and 30. The door capacities are equal for each instance and calculated by dividing the total flow coming from all origins by the total number of inbound doors, and then adding a capacity slackness of 5, 10, 15, 20, and 30%. To generate this set of instances, we have considered the combinations of values reported in the paper by Sayed (2020). The instances are referred to as 00×00×00x00 (number of the incoming and outgoing trucks x number of inbound and outbound doors x capacity slackness associated with the inbound/outbound doors - 5, 10, 15, 20, and 30% - x density of the flow matrix - 25, 35, 50, and 75%).
    • Dataset
  • Projections of wildfre weather danger in the Canary Islands
    This data set corresponds to the referenced work (https://doi.org/10.1038/s41598-022-12132-5), related to climate projections, for the Canary Islands, of some risk indicators derived from the Canadian Forest Fire Weather Index (FWI). Climate regionalized projections for the Canary Islands were performed, at 3 km spatial resolution, using as boundary conditions some of the results provided by the Coupled Model Intercomparison Project (CMIP5) initiative, and covering the recent past (1980–2009) and future (2070–2099) periods, under two Representative Concentration Pathways, 4.5 and 8.5. A dynamical downscaling technique has been applied, using the Weather and Research and Forecasting (WRF) model driven by the results of three CMIP5 models (GFDL-ESM2M, IPSL-CM5A-MR and MIROC-ESM). Each file, in netCDF format, has a name with the following nomenclature: canary_VAR_PERIOD_FREQ_mean_WRF_driven_by_GCM.nc where: * VAR is the variable (fot30, fwi, lofs) * PERIOD is the simulation period, and also indicates, for future periods, the corresponding emission scenario (1980_2009, 2070_2099_rcp45, 2070_2099_rcp85) *FREQ is the frequency for data: year (mean value for the annual values of the whole period) or monthly (mean value for each month, that is, the average for all the januaries in the period, …) * GCM is the global climate model (GCM) whose results have been used to drive the WRF simulations (GFDL_ESM2M, IPSL_CM5A_MR, MIROC_ESM) The three variables provided are: * fwi: monthly mean of daily values for the Canadian Forest Fire Weather Index (FWI). For this variable, results are also provided for a mid-century period (2030-2059). * fot30: percentage of days with an FWI greater than 30. This value is usually considered as an indicator of severe fire danger situations. * lofs: measures the extension in days of fire weather season. This starts/finishes each year when FWI exceeds/decreases the value 15 for more than two consecutive weeks. The provided values correspond to the average for each period analyzed.
    • Dataset
  • Projected impacts of climate change on tourism in the Canary Islands
    This dataset corresponds to the referenced work (https://doi.org/10.1007/s10113-022-01880-9), related to climate projections, for the Canary Islands, of some tourism indices widely used in the literature (the Tourism Climate Index TCI and the Holiday Climate Index HCI). The HCI has been calculated for two types of tourist activities, resulting in two different indices: The HCI Beach index (HCIB) and the HCI Urban index (HCIU). Regional climate simulations, at a 3 km resolution, were computed using the Weather Research and Forecast (WRF) numerical weather prediction model driven by the results of three CMIP5 global climate models (GFDL-ESM2M, IPSL-CM5A-MR and MIROC-ESM) as boundary conditions. The simulations were performed for three 30-year periods, recent past (1980–2009), mid-century (2030–2059), and end-century (2070–2099). Two different future greenhouse gas emission scenarios (RCP4.5 and RCP8.5) have been used for the projections. Each file, in netCDF format, has a name with the following format: canary_VAR_PERIOD_monthly_sum_WRF_driven_by_GCM.nc where: * VAR is the variable (HCIB60, HCIB80, HCIU60, HCIU80, TCI60, TCI80) * PERIOD is the simulation period, and also indicates, for future periods, the corresponding emission scenario (1980_2009, 2030_2059_rcp45, 2030_2059_rcp85, 2070_2099_rcp45, 2070_2099_rcp85) * GCM is the global climate model (GCM) whose results have been used to drive the WRF simulations (GFDL_ESM2M, IPSL_CM5A_MR, MIROC_ESM) Each file contains 12 timesteps, one for each month (january, february, …). The content of the variables is the mean (over the 30-year period) percentage, for each month, of the days with a tourism index over 60 or 80. Thus, for example, HCIB60 is the percentage of days for which the HCIB index is over 60. For example, a value of 70 for january means that, in average (for the 30 januaries of the selected simulation), 70*31/100 = 21,7 days have an index over 60. For the three used indices values over 60 are considered good to ideal conditions for the corresponding tourist activity, and values over 80 excellent or ideal conditions. Thus, HCIU80 indicates the percentage of days per month in which the conditions for urban tourism are excellent or ideal.
    • Dataset
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