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  1. Article ; Online: Ojeda Revah, Mario. 2017. La política exterior de Brasil

    Rubén Torres Martínez

    Brésil(s), Vol

    su evolución reciente

    2020  Volume 17

    Keywords Anthropology ; GN1-890 ; Social Sciences ; H
    Language French
    Publishing date 2020-05-01T00:00:00Z
    Publisher Maison des Science de l'Homme
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Dimensional Characterization and Hybrid Manufacturing of Copper Parts Obtained by Atomic Diffusion Additive Manufacturing, and CNC Machining.

    Monzón, Elena / Bordón, Pablo / Paz, Rubén / Monzón, Mario

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 6

    Abstract: The combination of Atomic Diffusion Additive Manufacturing (ADAM) and traditional CNC machining allows manufacturers to leverage the advantages of both technologies in the production of functional metal parts. This study presents the methodological ... ...

    Abstract The combination of Atomic Diffusion Additive Manufacturing (ADAM) and traditional CNC machining allows manufacturers to leverage the advantages of both technologies in the production of functional metal parts. This study presents the methodological development of hybrid manufacturing for solid copper parts, initially produced using ADAM technology and subsequently machined using a 5-axis CNC system. The ADAM technology was dimensionally characterized by adapting and manufacturing the seven types of test artifacts standardized by ISO/ASTM 52902:2019. The results showed that slender geometries suffered warpage and detachment during sintering despite complying with the design guidelines. ADAM technology undersizes cylinders and oversizes circular holes and linear lengths. In terms of roughness, the lowest results were obtained for horizontal flat surfaces, while 15° inclined surfaces exhibited the highest roughness due to the stair-stepping effect. The dimensional deviation results for each type of geometry were used to determine the specific and global oversize factors necessary to compensate for major dimensional defects. This also involved generating appropriate over-thicknesses for subsequent CNC machining. The experimental validation of this process, conducted on a validation part, demonstrated final deviations lower than 0.5% with respect to the desired final part, affirming the feasibility of achieving copper parts with a high degree of dimensional accuracy through the hybridization of ADAM and CNC machining technologies.
    Language English
    Publishing date 2024-03-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17061437
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Epidemiology of the rheumatic diseases in Mexico based on the COPCORD methodology

    Cardiel-Ríos, Mario Humberto / Burgos-Vargas, Ruben

    (Journal of rheumatology : Supplement ; 86)

    2011  

    Author's details guest ed.: Mario Humberto Cardiel-Ríos ; Ruben Burgos-Vargas
    Series title Journal of rheumatology : Supplement ; 86
    Journal of rheumatology
    Journal of rheumatology ; Supplement
    Collection Journal of rheumatology
    Journal of rheumatology ; Supplement
    Language English
    Size 35 S.
    Publisher Journal of Rheumatology Publ
    Publishing place Toronto, ON
    Publishing country Canada
    Document type Book
    HBZ-ID HT016711104
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Zs A 1168 -Suppl.86- not available for loan Zeitschriften-Lesesaal

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  4. Article: Venturi Injector Optimization for Precise Powder Transport for Directed Energy Deposition Manufacturing Using the Discrete Element Method and Genetic Algorithms.

    García-Montagut, Joshua / Paz, Rubén / Monzón, Mario / González, Begoña

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 4

    Abstract: Additive manufacturing technologies such as directed energy deposition use powder as their raw material, and it must be deposited in a precise and controlled manner. Venturi injectors could be a solution for the highly precise transport of particulate ... ...

    Abstract Additive manufacturing technologies such as directed energy deposition use powder as their raw material, and it must be deposited in a precise and controlled manner. Venturi injectors could be a solution for the highly precise transport of particulate material. They have been studied from different perspectives, but they are always under high-pressure conditions and mostly fed by gravity. In the present study, an optimization of the different dimensional parameters needed for the manufacturing of a Venturi injector in relation to a particle has been carried out to maximize the amount of powder capable of being sucked and transported for a specific flow in a low-pressure system with high precision in transport. For this optimization, simulations of Venturi usage were performed using the discrete element method, generating different variations proposed by a genetic algorithm based on a preliminary design of experiments. Statistical analysis was also performed to determine the most influential design variables on the objective, with these being the suction diameter (D3), the throat diameter (d2), and the nozzle diameter (d1). The optimal dimensional relationships were as follows: a D3 34 times the particle diameter, a d2 26.5 times the particle diameter, a d1 40% the d2, a contraction angle alpha of 18.73°, and an expansion angle beta of 8.28°. With these proportions, an 85% improvement in powder suction compared to the initial attempts was achieved, with a maximum 2% loss of load.
    Language English
    Publishing date 2024-02-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17040911
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Synthesis, Structural Characterization, and Magnetic Properties of Lanthanide Arsolyl Sandwich Complexes.

    Schwarz, Noah / Krätschmer, Frederic / Suryadevara, Nithin / Schlittenhardt, Sören / Ruben, Mario / Roesky, Peter W

    Inorganic chemistry

    2024  

    Abstract: A series of trivalent lanthanide sandwich complexes [( ... ...

    Abstract A series of trivalent lanthanide sandwich complexes [(η
    Language English
    Publishing date 2024-01-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1484438-2
    ISSN 1520-510X ; 0020-1669
    ISSN (online) 1520-510X
    ISSN 0020-1669
    DOI 10.1021/acs.inorgchem.3c03374
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Calcium Carbonate Coating of 3D-Printed PLA Scaffolds Intended for Biomedical Applications

    Ricardo Donate / Rubén Paz / Álvaro Quintana / Pablo Bordón / Mario Monzón

    Polymers, Vol 15, Iss 2506, p

    2023  Volume 2506

    Abstract: The incorporation of ceramic additives is the most commonly used strategy to improve the biofunctionality of polymer-based scaffolds intended for bone regeneration. By embedding ceramic particles as a coating, the functionality improvement in the ... ...

    Abstract The incorporation of ceramic additives is the most commonly used strategy to improve the biofunctionality of polymer-based scaffolds intended for bone regeneration. By embedding ceramic particles as a coating, the functionality improvement in the polymeric scaffolds can be concentrated on the cell–surface interface, thus creating a more favourable environment for the adhesion and proliferation of osteoblastic cells. In this work, a pressure-assisted and heat-induced method to coat polylactic acid (PLA) scaffolds with calcium carbonate (CaCO 3 ) particles is presented for the first time. The coated scaffolds were evaluated by optical microscopy observations, a scanning electron microscopy analysis, water contact angle measurements, compression testing, and an enzymatic degradation study. The ceramic particles were evenly distributed, covered more than 60% of the surface, and represented around 7% of the coated scaffold weight. A strong bonding interface was achieved, and the thin layer of CaCO 3 (~20 µm) provided a significant increase in the mechanical properties (with a compression modulus improvement up to 14%) while also enhancing the surface roughness and hydrophilicity. The results of the degradation study confirmed that the coated scaffolds were able to maintain the pH of the media during the test (~7.6 ± 0.1), in contrast to the pure PLA scaffolds, for which a value of 5.07 ± 0.1 was obtained. The ceramic-coated scaffolds developed showed potential for further evaluations in bone tissue engineering applications.
    Keywords biomaterials ; additive manufacturing ; surface coating ; ceramic additives ; bone tissue engineering ; Organic chemistry ; QD241-441
    Subject code 620
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

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  7. Article ; Online: Calcium Carbonate Coating of 3D-Printed PLA Scaffolds Intended for Biomedical Applications.

    Donate, Ricardo / Paz, Rubén / Quintana, Álvaro / Bordón, Pablo / Monzón, Mario

    Polymers

    2023  Volume 15, Issue 11

    Abstract: The incorporation of ceramic additives is the most commonly used strategy to improve the biofunctionality of polymer-based scaffolds intended for bone regeneration. By embedding ceramic particles as a coating, the functionality improvement in the ... ...

    Abstract The incorporation of ceramic additives is the most commonly used strategy to improve the biofunctionality of polymer-based scaffolds intended for bone regeneration. By embedding ceramic particles as a coating, the functionality improvement in the polymeric scaffolds can be concentrated on the cell-surface interface, thus creating a more favourable environment for the adhesion and proliferation of osteoblastic cells. In this work, a pressure-assisted and heat-induced method to coat polylactic acid (PLA) scaffolds with calcium carbonate (CaCO
    Language English
    Publishing date 2023-05-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527146-5
    ISSN 2073-4360 ; 2073-4360
    ISSN (online) 2073-4360
    ISSN 2073-4360
    DOI 10.3390/polym15112506
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Exploring Gut Microbiome Variations between

    Frias, Jorge / Garriga, Anna / Peñalver, Ángel / Teixeira, Mário / Beltrí, Rubén / Toubarro, Duarte / Simões, Nelson

    Microorganisms

    2023  Volume 11, Issue 8

    Abstract: ... Popillia ... ...

    Abstract Popillia japonica
    Language English
    Publishing date 2023-07-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms11081972
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  9. Article: Editorial: Best practice approaches in women's sports.

    Maneiro, Rubén / Amatria, Mario / Armatas, Vasilis / Casal, Claudio A / Losada, José Luís / Ardá, Antonio

    Frontiers in psychology

    2023  Volume 14, Page(s) 1260044

    Language English
    Publishing date 2023-10-31
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1260044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Exploring EEG-based motor imagery decoding: a dual approach using spatial features and spectro-spatial Deep Learning model IFNet.

    Juan, Javier V / Martínez, Rubén / Iáñez, Eduardo / Ortiz, Mario / Tornero, Jesús / Azorín, José M

    Frontiers in neuroinformatics

    2024  Volume 18, Page(s) 1345425

    Abstract: Introduction: In recent years, the decoding of motor imagery (MI) from electroencephalography (EEG) signals has become a focus of research for brain-machine interfaces (BMIs) and neurorehabilitation. However, EEG signals present challenges due to their ... ...

    Abstract Introduction: In recent years, the decoding of motor imagery (MI) from electroencephalography (EEG) signals has become a focus of research for brain-machine interfaces (BMIs) and neurorehabilitation. However, EEG signals present challenges due to their non-stationarity and the substantial presence of noise commonly found in recordings, making it difficult to design highly effective decoding algorithms. These algorithms are vital for controlling devices in neurorehabilitation tasks, as they activate the patient's motor cortex and contribute to their recovery.
    Methods: This study proposes a novel approach for decoding MI during pedalling tasks using EEG signals. A widespread approach is based on feature extraction using Common Spatial Patterns (CSP) followed by a linear discriminant analysis (LDA) as a classifier. The first approach covered in this work aims to investigate the efficacy of a task-discriminative feature extraction method based on CSP filter and LDA classifier. Additionally, the second alternative hypothesis explores the potential of a spectro-spatial Convolutional Neural Network (CNN) to further enhance the performance of the first approach. The proposed CNN architecture combines a preprocessing pipeline based on filter banks in the frequency domain with a convolutional neural network for spectro-temporal and spectro-spatial feature extraction.
    Results and discussion: To evaluate the approaches and their advantages and disadvantages, EEG data has been recorded from several able-bodied users while pedalling in a cycle ergometer in order to train motor imagery decoding models. The results show levels of accuracy up to 80% in some cases. The CNN approach shows greater accuracy despite higher instability.
    Language English
    Publishing date 2024-02-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452979-5
    ISSN 1662-5196
    ISSN 1662-5196
    DOI 10.3389/fninf.2024.1345425
    Database MEDical Literature Analysis and Retrieval System OnLINE

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