721 research outputs found

    ¿Es posible evaluar la dimensión social de la sustentabilidad? Aplicación de una metodología en dos comunidades campesinas del valle de Toluca, México

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    El artículo realiza una evaluación de los aspectos sociales de la sustentabilidad en dos comunidades campesinas del valle de Toluca, utilizando un esquema de atributos-criterios-indicadores. Una de las comunidades presentó mejores valores en atributos como estabilidad, resiliencia, equidad y autogestión; mientras que ambas comunidades obtuvieron niveles similares (de medios a al tos) en los atributos de productividad, adaptabilidad y confiabilidad. La organización so cial jugó un papel preponderante en la sustentabilidad económica y ambiental del manejo de recursos naturales por las comunidades

    Caracterización estructural de lodos pos-consumo como agregados en materiales de construcción

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    The present work covers the physical, mechanical and chemical characterization of pozzolanic materials. The pozzolans were obtained by mixing red clay, commercial bentonite and residual aluminous sludge, from a drinking water treatment plant. Ceramic cubes were manufactured, which were sintered at 1100°C and subsequently, were structurally characterized by DRX, SEM and EDS. Its compressive strength was also evaluated before and after being subjected to different environments. The results showed that the relations with which the standards for nonstructural bricks according to NTC 4017 (100 Kgf/cm2) are maintained are those that contain 10%, 20% and 30% of mud with respect to the clay maintaining an aggregate of bentonite 10% with resistances of 123.62 Kgf /cm2, 112.90 Kgf /cm2 and 107.32 Kgf / cm2, respectively. Likewise, for units exposed to corrosive environments, the 10% replacement mixture is the only one that meets the criteria established by the standard with a resistance of 112,80 Kgf/cm2 and in abrasive environments mixtures of 10% and 20% with resistance of 116,75 Kgf/cm2 and 101,96 Kgf/cm2 respectively.El presente trabajo abarca la caracterización física, mecánica y química de materiales puzolánicos. Las  puzolanas  fueron  obtenidas  por  la  mezcla  de  arcilla  roja,  bentonita  comercial  y  lodos  aluminosos residuales, provenientes de una planta de tratamiento de agua potable. Se fabricaron cubos cerámicos, los cuales fueron sinterizados a 1100 °C y posteriormente, fueron caracterizados estructuralmente por DRX, SEM y EDS. También se evaluó su resistencia a la compresión antes y después de ser sometidos a diferentes ambientes. Los resultados demostraron que las relaciones con las cuales se mantienen los estándares para ladrillos no estructurales según la NTC 4017 (100 Kgf/ cm2) son los que contienen 10%, 20% y 30% de lodo respecto a la arcilla manteniendo un agregado de bentonita del 10 % con resistencias de 123,62 Kgf/cm2, 112,90 Kgf/cm2 y 107,32 Kgf/cm2,  respectivamente.  Así  mismo  para  las  unidades  expuestas  a  ambientes  corrosivos  la  mezcla con sustitución del 10% es la única que cumple el criterio establecido por la norma con una  resistencia  de  112,80  Kgf/cm2  y  en  ambientes  abrasivos  las  mezclas  de  10%  y  20%  con  resistencias de 116,75 Kgf/cm2 y 101,96 Kgf/cm2 respectivamente

    Satellite-based Quantum Network: Security and Challenges over Atmospheric Channel

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    The ultra-secure quantum network leverages quantum cryptography to deliver unsurpassed data transfer security. In principle, the well-known quantum key distribution (QKD) achieves unconditional security, which raises concerns about the trustworthiness of 6G wireless systems in order to mitigate the gap between practice and theory. The long-distance satellite-to-ground evolving quantum network distributes keys that are ubiquitous to the node on the ground through low-orbit satellites. As the secret key sequence is encoded into quantum states, it is sent through the atmosphere via a quantum channel. It still requires more effort in the physical layer design of deployment ranges, transmission, and security to achieve high-quality quantum communication. In this paper, we first review the quantum states and channel properties for satellite-based quantum networks and long-range quantum state transfer (QST). Moreover, we highlight some challenges, such as transmissivity statistics, estimation of channel parameters and attack resilience, quantum state transfer for satellite-based quantum networks, and wavepacket shaping techniques over atmospheric channels. We underline two research directions that consider the QST and wavepacket shaping techniques for atmospheric transmission in order to encourage further research toward the next generation of satellite-based quantum networks.Comment: 6 pages, 1 figure, conferenc

    Endocarditis Marántica asociada a linfoma de Hodgkin

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    La endocarditis trombótica no bacteriana (ETNB) se define como la presencia de trombos estériles sobre las válvulas cardiacas, corresponden a agregados de plaquetas y fibrina no infectados asociados a estados de hipercoagulabilidad como las neoplasias malignas, en donde se denomina también endocarditis marántica. Se presenta el caso de un paciente con historia de síndrome febril prolongado al que se le inició tratamiento antibiótico por una endocarditis infecciosa (EI) por presentar una imagen compatible con vegetación en el ecocardiograma transtorácico. Sin embargo, el paciente persistió febril y sin mejoría clínica, hasta que la biopsia de un ganglio cervical diagnosticó un linfoma de Hodgkin mejorando posteriormente con el tratamiento hemato específico

    Analysis of candidates for interacting galaxy clusters: I. A1204 and A2029/A2033

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    Merging galaxy clusters allow for the study of different mass components, dark and baryonic, separately. Also, their occurrence enables to test the ΛCDM scenario, which can be used to put constraints on the selfinteracting cross-section of the dark-matter particle. It is necessary to perform a homogeneous analysis of these systems. Hence, based on a recently presented sample of candidates for interacting galaxy clusters, we present the analysis of two of these cataloged systems. In this work, the first of a series devoted to characterizing galaxy clusters in merger processes, we perform a weak lensing analysis of clusters A1204 and A2029/2033 to derive the total masses of each identified interacting structure together with a dynamical study based on a two-body model. We also describe the gas and the mass distributions in the field through a lensing and an X-ray analysis. This is the first of a series of works which will analyze these type of system in order to characterize them. Neither merging cluster candidate shows evidence of having had a recent merger event. Nevertheless, there is dynamicalevidence that these systems could be interacting or could interact in the future. It is necessary to include more constraints in order to improve the methodology of classifying merging galaxy clusters.Characterization of these clusters is important in order to properly understand the nature of these systems and their connection withdynamical studies.Fil: Gonzalez, Elizabeth Johana. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: de Los Rios, Martín Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Oio, Gabriel Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Hernández Lang, Daniel. Universidad de La Serena; ChileFil: AguirreTagliaferro, Tania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Dominguez Romero, Mariano Javier de Leon. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Nilo Castellon, Jose Luis Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina. Universidad de la Serena; ChileFil: Cuevas L., H.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Valotto, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba; Argentin

    FPGA-based Fused Smart Sensor for Real-Time Plant-Transpiration Dynamic Estimation

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    Plant transpiration is considered one of the most important physiological functions because it constitutes the plants evolving adaptation to exchange moisture with a dry atmosphere which can dehydrate or eventually kill the plant. Due to the importance of transpiration, accurate measurement methods are required; therefore, a smart sensor that fuses five primary sensors is proposed which can measure air temperature, leaf temperature, air relative humidity, plant out relative humidity and ambient light. A field programmable gate array based unit is used to perform signal processing algorithms as average decimation and infinite impulse response filters to the primary sensor readings in order to reduce the signal noise and improve its quality. Once the primary sensor readings are filtered, transpiration dynamics such as: transpiration, stomatal conductance, leaf-air-temperature-difference and vapor pressure deficit are calculated in real time by the smart sensor. This permits the user to observe different primary and calculated measurements at the same time and the relationship between these which is very useful in precision agriculture in the detection of abnormal conditions. Finally, transpiration related stress conditions can be detected in real time because of the use of online processing and embedded communications capabilities

    Time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals

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    A major trust of modal parameters identification (MPI) research in recent years has been based on using artificial and natural vibrations sources because vibration measurements can reflect the true dynamic behavior of a structure while analytical prediction methods, such as finite element models, are less accurate due to the numerous structural idealizations and uncertainties involved in the simulations. This paper presents a state-of-the-art review of the time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals as well as the factors that affect the estimation accuracy. Further, the latest signal processing techniques proposed since 2012 are also reviewed. These algorithms are worth being researched for MPI of large real-life structures because they provide good time-frequency resolution and noise-immunity

    FPGA-Based Fused Smart-Sensor for Tool-Wear Area Quantitative Estimation in CNC Machine Inserts

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    Manufacturing processes are of great relevance nowadays, when there is a constant claim for better productivity with high quality at low cost. The contribution of this work is the development of a fused smart-sensor, based on FPGA to improve the online quantitative estimation of flank-wear area in CNC machine inserts from the information provided by two primary sensors: the monitoring current output of a servoamplifier, and a 3-axis accelerometer. Results from experimentation show that the fusion of both parameters makes it possible to obtain three times better accuracy when compared with the accuracy obtained from current and vibration signals, individually used
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