14 research outputs found
La conquista Hitita de Alašiya
La influencia del Imperio hitita durante el Bronce Final en el Oriente Próximo era indudable; sin embargo,
el declive al que se vio abocado el Imperio durante sus últimas décadas obligó a sus últimos reyes a fijar
sus metas, por vez primera, más allá del mar. Las sucesivas conquistas del reino de Alašiya, en la isla de
Chipre, intentan paliar una grave situación para el reino que era ya irreversible. En el presente artículo se
lleva a cabo un análisis de las relaciones entre el reino de Ḫatti y Alašiya, antes y después de su conquistaThe influence of the Hittite Empire through the Late Bronze Age in the Near East was certain; nevertheless,
the decline of the Empire during its last decades, forced its kings to set their goals, for the first time, beyond
the sea. The successive conquests of the kingdom of Alašiya, on the island of Cyprus, sought to alleviate a
difficult condition for the Hittite Kingdom, which was already irreversible. This paper presents an analysis
of the relations between the kingdom of Ḫatti and Alašiya, before and after its conques
Tayfun Bilgin. Officials and Administration in the Hittite World, Studies in Ancient Near Eastern Records (SANER) 21. De Gruyter, Berlin-Boston, 2018. xvi,507 páginas. ISBN: 978-1-5015-0977-3
Mark Weeden y Lee Z. Ullmann (Eds.) Hittite Landscape and Geography (Handbook of Oriental Studies. Section one, The Near and Middle East; Vol. 121). Brill, Leiden-Boston, 2017. 416 páginas con láminas. ISBN: 978-90-04-34174-6
Photoelectrocatalytic degradation of pharmaceuticals and inactivation of viruses in water with tungsten oxide electrodes
An accurate machine learning model to study the impact of realistic metal grain granularity on Nanosheet FETs
In this work, we present a machine learning neural network model to predict the impact of realistic metal grain granularity (MGG) variability on the threshold voltage V Th and on the ID -VG characteristics of a silicon-based 12 nm gate length nanosheet FET. This model is based on the multi-layer perceptron (MLP) machine learning architecture. As realistic MGG maps consist of the distribution of grains on the gate with different work-function values, it is relevant to apply algorithms such as the principal component analysis to reduce these features to the most representative ones. Once the realistic MGG features are correctly reduced without losing information, we train two different neural networks with the neurons in the output layer as the only difference, to predict the VTh and the ID - VG characteristics, respectively. The comparison between TCAD results and the model, shows excellent agreement for the mean and standard deviation of VTh distributions for different average grain sizes values (from 3 nm to 10 nm) demonstrating the accuracy of the machine learning model. Also, we study the amount of data needed to accurately train the MLPs, leading to results that allow us to drastically reduce the computational time required to perform variability studies for state-of-art nano FET devicesS
Safe drinking water for rural communities using a low-cost household system. Effects of water matrix and field testing
Biological Layer in Household Slow Sand Filters: Characterization and Evaluation of the Impact on Systems Efficiency:Characterization and Evaluation of the Impact on Systems Efficiency
Field-testing solutions for drinking water quality monitoring in low- and middle-income regions and case studies from Latin American, African and Asian countries
Millimeter-scale genetic gradients and community-level molecular convergence in a hypersaline microbial mat
To investigate the extent of genetic stratification in structured microbial communities, we compared the metagenomes of 10 successive layers of a phylogenetically complex hypersaline mat from Guerrero Negro, Mexico. We found pronounced millimeter-scale genetic gradients that were consistent with the physicochemical profile of the mat. Despite these gradients, all layers displayed near-identical and acid-shifted isoelectric point profiles due to a molecular convergence of amino-acid usage, indicating that hypersalinity enforces an overriding selective pressure on the mat community