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4901
Pobreza y desigualdad en México. La construcción ideológica y fáctica de ciudadanías diversas y desiguales*
Published 2019-01-01“…Se describen los retrocesos experimentados, particularmente a raíz de las crisis y del cambio de modelo económico en los últimos 30 años. …”
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4902
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4903
Jane Air: The Heroine as Caged Bird in Charlotte Brontë’s Jane Eyre and Alfred Hitchcock’s Rebecca
Published 2006-12-01“…Un autre point commun, plus difficile à déceler car profondément intégré à chaque œuvre, est le portrait de l’héroïne en oiseau prisonnier. …”
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4904
Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.
Published 2025-01-01“…In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. However, decoding EEG signals poses significant challenges due to their complexity, dynamic nature, and low signal-to-noise ratio (SNR). …”
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4905
Application of Classical and Genomic Cryptography on Textual Dataset
Published 2024-12-01“…Performance criteria are determined as encoding and decoding times (seconds), memory consumption (MB) and processor usage (%), which are accepted in the literature for textual data type. …”
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4906
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4907
Kingdom Come by Ballard: The Stricken City
Published 2009-12-01“…L’esthétique de la violence ne définit pas seulement l’ordre politique dénoncé, mais caractérise aussi le mode opératoire du roman qui, à travers les mises en scènes de moments disjoints et le choix d’un vocabulaire décalé, oblige le lecteur à s’interroger sur l’espace dans lequel il vit. …”
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4908
Interconnection algorithm of a wide range of pervasive devices for the Internet of things
Published 2018-01-01“…The physical layer behaviors consist of what frequency is used, how and when signals are transmitted, and how transceivers’ responses are decoded. The medium access control layer behavior consists of how to provide a reliable link between two peer medium access control entities. …”
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4909
Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis
Published 2024-12-01“…In the continually evolving landscape of data-driven methodologies addressing car crash patterns, a holistic analysis remains critical to decode the complex nuances of this phenomenon. This study bridges this knowledge gap with a robust examination of car crash occurrence dynamics and the influencing variables in the Greater Melbourne area, Australia. …”
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4910
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4911
Enhancing signal-to-noise ratio in real-time LED-based photoacoustic imaging: A comparative study of CNN-based deep learning architectures
Published 2025-02-01“…In this study, we systematically assess the efficacy of various Encoder-Decoder-based CNN architectures for enhancing SNR in real-time LED-based PA imaging. …”
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4912
Un service de table en bronze et argent soigneusement rangé dans une cave à Reims/Durocortorum
Published 2022-11-01“…The plated silver leaf is relatively thick and espouses all the existing forms; on some objects it bears additional incised decorations. These, especially the beaded and pirouetted border on the two large, circular, polished dishes, are typical of silver tableware. …”
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4913
Détermination du statut du Chimpanzé, Pan troglodytes verus, dans une zone non protégée de savane boisée à Bagnomba, Sénégal : Implication pour sa conservation
Published 2016-01-01“…A Bagnomba (786221 W, 1407110 N), situé sur la partie sud-Est du Parc National du Niokolo Koba en dehors des limites de l’aire protégée, nous avons observé un groupe de chimpanzés constitué de 8 individus, dont 5 adultes et 3 juvéniles, et recensé plus de 400 nids de chimpanzé. …”
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4914
Metabolomics Biomarkers in Prediction of Sudden Infant Death Syndrome: The Role of Short Chain Fatty Acids
Published 2025-01-01“…Leveraging machine learning (ML) presents a promising avenue for unraveling the intricate profiles of SCFA and decoding patterns indicative of heightened SIDS risk. …”
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4915
ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network
Published 2025-01-01“…Although deep learning-based approaches can effectively decode EEG signals, most deep learning models lack interpretability due to their black-box nature. …”
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4916
Däbrä Aron: A Rock-cut Monastic Church, Mäqet District of Northern Ethiopia
Published 2020-11-01“…The cave also has an engraved processional cross decorated with symbolical trifoliate motifs. …”
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4917
An In Silico Study of the Interactions of Alkaloids from Cryptolepis sanguinolenta with Plasmodium falciparum Dihydrofolate Reductase and Dihydroorotate Dehydrogenase
Published 2022-01-01“…Also, our results show that alkaloids of the pg class can inhibit PfDHODH as FMN decoys, as well as direct enzyme inhibitors, thereby halting crucial protein function.…”
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4918
Complications of tattoos and tattoos removal: state-of-the-art in Italy
Published 2016-07-01“…The complications of decorative tattoos include infections and allergic and foreign body reactions. …”
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4919
Low-input redoxomics facilitates global identification of metabolic regulators of oxidative stress in the gut
Published 2025-01-01“…Two-month CR intervention led to the recovery of many antioxidative metabolites and reshaped the Cys redoxome. This work decodes the complexities of redoxomics during the gut aging of non-human primates and identifies key metabolic regulators of oxidative stress and redox signaling.…”
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4920
ED‐AttConvLSTM: An Ionospheric TEC Map Prediction Model Using Adaptive Weighted Spatiotemporal Features
Published 2024-03-01“…Abstract In this paper, we propose a novel Total Electron Content (TEC) map prediction model, named ED‐AttConvLSTM, using a Convolutional Long Short‐Term Memory (ConvLSTM) network and attention mechanism based on encoder‐decoder structure. The inclusion of the attention mechanism enhances the efficient utilization of spatiotemporal features extracted by the ConvLSTM, emphasizing the significance of crucial spatiotemporal features in the prediction process and, as a result, leading to an enhancement in predictive performance. …”
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