158 research outputs found

    Validation of a Computational Fluid Dynamics Model for a Novel Residence Time Distribution Analysis in Mixing at Cross-Junctions

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    [EN] In Water Distribution Networks, the chlorine control is feasible with the use of water quality simulation codes. EPANET is a broad domain software and several commercial computer software packages base their models on its methodology. However, EPANET assumes that the solute mixing at cross-junctions is ¿complete and instantaneous¿. Several authors have questioned this model. In this paper, experimental tests are developed while using Copper Sulphate as tracer at different operating conditions, like those of real water distribution networks, in order to obtain the Residence Time Distribution and its behavior in the mixing as a novel analysis for the cross-junctions. Validation tests are developed in Computational Fluid Dynamics, following the k-# turbulence model. It is verified that the mixing phenomenon is dominated by convection, analyzing variation of Turbulent Schmidt Number vs. experimental tests. Having more accurate mixing models will improve the water quality simulations to have an appropriate control for chlorine and possible contaminants in water distribution networks.To CONACYT for the Master and Ph.D. scholarships (417824 and 703220) to D.H.-C. and the Ph.D. scholarship (294038) to M.R.; To Universidad de Guanajuato for the financial support of the project No. 100/2018 of J.L.N.; To Engineering Division, Campus Guanajuato and Geomatics and Hydraulics Engineering Department for the financial support of this project; and finally, to SEP-PRODEP and UG for the financial support to publish this paper.Hernandez Cervantes, D.; Delgado Galván, XV.; Nava, JL.; López Jiménez, PA.; Rosales, M.; Mora Rodríguez, JDJ. (2018). Validation of a Computational Fluid Dynamics Model for a Novel Residence Time Distribution Analysis in Mixing at Cross-Junctions. Water. 10(6):1-18. https://doi.org/10.3390/w10060733S118106Mercier Shanks, C., Sérodes, J.-B., & Rodriguez, M. J. (2013). Spatio-temporal variability of non-regulated disinfection by-products within a drinking water distribution network. Water Research, 47(9), 3231-3243. doi:10.1016/j.watres.2013.03.033Vasconcelos, J. J., Rossman, L. A., Grayman, W. M., Boulos, P. F., & Clark, R. M. (1997). Kinetics of chlorine decay. Journal - American Water Works Association, 89(7), 54-65. doi:10.1002/j.1551-8833.1997.tb08259.xOzdemir, O. N., & Ucak, A. (2002). Simulation of Chlorine Decay in Drinking-Water Distribution Systems. Journal of Environmental Engineering, 128(1), 31-39. doi:10.1061/(asce)0733-9372(2002)128:1(31)Knobelsdorf Miranda, J., & Mujeriego Sahuquillo, R. (1997). Crecimiento bacteriano en las redes de distribución de agua potable: una revisión bibliográfica. Ingeniería del agua, 4(2). doi:10.4995/ia.1997.2719Wang, W., Ye, B., Yang, L., Li, Y., & Wang, Y. (2007). Risk assessment on disinfection by-products of drinking water of different water sources and disinfection processes. 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Monitoring stations in water distribution systems to detect contamination events. ISH Journal of Hydraulic Engineering, 20(2), 142-150. doi:10.1080/09715010.2013.857470Seth, A., Klise, K. A., Siirola, J. D., Haxton, T., & Laird, C. D. (2016). Testing Contamination Source Identification Methods for Water Distribution Networks. Journal of Water Resources Planning and Management, 142(4), 04016001. doi:10.1061/(asce)wr.1943-5452.0000619Xuesong, Y., Jie, S., & Chengyu, H. (2017). Research on contaminant sources identification of uncertainty water demand using genetic algorithm. Cluster Computing, 20(2), 1007-1016. doi:10.1007/s10586-017-0787-6Rathi, S., & Gupta, R. (2015). Optimal sensor locations for contamination detection in pressure-deficient water distribution networks using genetic algorithm. Urban Water Journal, 14(2), 160-172. doi:10.1080/1573062x.2015.1080736Sandoval, M. A., Fuentes, R., Walsh, F. C., Nava, J. L., & de León, C. P. (2016). Computational fluid dynamics simulations of single-phase flow in a filter-press flow reactor having a stack of three cells. Electrochimica Acta, 216, 490-498. doi:10.1016/j.electacta.2016.09.045Castañeda, L. (2017). Computational Fluid Dynamic Simulations of Single-Phase Flow in a Spacer-Filled Channel of a Filter-Press Electrolyzer. International Journal of Electrochemical Science, 7351-7364. doi:10.20964/2017.08.09Song, I., Romero-Gomez, P., & Choi, C. Y. (2009). Experimental Verification of Incomplete Solute Mixing in a Pressurized Pipe Network with Multiple Cross Junctions. Journal of Hydraulic Engineering, 135(11), 1005-1011. doi:10.1061/(asce)hy.1943-7900.0000095Romero-Gomez, P., Lansey, K. E., & Choi, C. Y. (2010). Impact of an incomplete solute mixing model on sensor network design. Journal of Hydroinformatics, 13(4), 642-651. doi:10.2166/hydro.2010.123Yu, T. C., Shao, Y., & Shen, C. (2014). Mixing at Cross Joints with Different Pipe Sizes in Water Distribution Systems. Journal of Water Resources Planning and Management, 140(5), 658-665. doi:10.1061/(asce)wr.1943-5452.0000372Shao, Y., Jeffrey Yang, Y., Jiang, L., Yu, T., & Shen, C. (2014). Experimental testing and modeling analysis of solute mixing at water distribution pipe junctions. Water Research, 56, 133-147. doi:10.1016/j.watres.2014.02.053Mompremier, R., Pelletier, G., Fuentes Mariles, Ó. A., & Ghebremichael, K. (2015). Impact of incomplete mixing in the prediction of chlorine residuals in municipal water distribution systems. Journal of Water Supply: Research and Technology - Aqua, 64(8), 904-914. doi:10.2166/aqua.2015.148McKenna, S. A., O’Hern, T., & Hartenberger, J. (2009). Detailed Investigation of Solute Mixing in Pipe Joints through High Speed Photography. Water Distribution Systems Analysis 2008. doi:10.1061/41024(340)88Ho, C. K., & O’Rear, L. (2009). Evaluation of solute mixing in water distribution pipe junctions. Journal - American Water Works Association, 101(9), 116-127. doi:10.1002/j.1551-8833.2009.tb09964.xChoi, C. Y., Shen, J. Y., & Austin, R. G. (2009). Development of a Comprehensive Solute Mixing Model (AZRED) for Double-Tee, Cross, and Wye Junctions. Water Distribution Systems Analysis 2008. doi:10.1061/41024(340)89Rosales, M., Pérez, T., & Nava, J. L. (2016). Computational fluid dynamic simulations of turbulent flow in a rotating cylinder electrode reactor in continuous mode of operation. Electrochimica Acta, 194, 338-345. doi:10.1016/j.electacta.2016.02.076Moncho-Esteve, I. J., Palau-Salvador, G., Brevis, W., Vaas, M. O., & López-Jiménez, P. A. (2015). Numerical simulation of the hydrodynamics and turbulent mixing process in a drinking water storage tank. Journal of Hydraulic Research, 53(2), 207-217. doi:10.1080/00221686.2014.98945

    MAGIC Observations of the Nearby Short Gamma-Ray Burst GRB 160821B

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    Acciari, A. V., et al.The coincident detection of GW170817 in gravitational waves and electromagnetic radiation spanning the radio to MeV gamma-ray bands provided the first direct evidence that short gamma-ray bursts (GRBs) can originate from binary neutron star (BNS) mergers. On the other hand, the properties of short GRBs in high-energy gamma-rays are still poorly constrained, with only ∼20 events detected in the GeV band, and none in the TeV band. GRB 160821B is one of the nearest short GRBs known at z = 0.162. Recent analyses of the multiwavelength observational data of its afterglow emission revealed an optical-infrared kilonova component, characteristic of heavy-element nucleosynthesis in a BNS merger. Aiming to better clarify the nature of short GRBs, this burst was automatically followed up with the MAGIC telescopes, starting from 24 s after the burst trigger. Evidence of a gamma-ray signal is found above ∼0.5 TeV at a significance of ∼ 3σ during observations that lasted until 4 hr after the burst. Assuming that the observed excess events correspond to gamma-ray emission from GRB 160821B, in conjunction with data at other wavelengths, we investigate its origin in the framework of GRB afterglow models. The simplest interpretation with one-zone models of synchrotron-self-Compton emission from the external forward shock has difficulty accounting for the putative TeV flux. Alternative scenarios are discussed where the TeV emission can be relatively enhanced. The role of future GeV-TeV observations of short GRBs in advancing our understanding of BNS mergers and related topics is briefly addressed.We would like to thank the Instituto de Astrofísica de Canarias for the excellent working conditions at the Observatorio del Roque de los Muchachos in La Palma. The financial support of the German BMBF and MPG; the Italian INFN and INAF; the Swiss National Fund SNF; the ERDF under the Spanish MINECO (FPA2017-87859-P, FPA2017-85668-P, FPA2017- 82729-C6-2-R, FPA2017-82729-C6-6-R, FPA2017-82729-C6-5- R, AYA2015-71042-P, AYA2016-76012-C3-1-P, ESP2017- 87055-C2-2-P, FPA2017-90566-REDC); the Indian Department of Atomic Energy; the Japanese ICRR, the University of Tokyo, JSPS, and MEXT; the Bulgarian Ministry of Education and Science, National RI Roadmap Project DO1-268/16.12.2019 and the Academy of Finland grant No. 320045 is gratefully acknowledged. This work was also supported by the Spanish Centro de Excelencia “Severo Ochoa” SEV-2016-0588, SEV2015-0548 and SEV-2012-0234, the Unidad de Excelencia “María de Maeztu” MDM-2014-0369 and the “la Caixa” Foundation (fellowship LCF/BQ/PI18/11630012), by the Croatian Science Foundation (HrZZ) Project IP-2016-06-9782 and the University of Rijeka Project 13.12.1.3.02, by the DFG Collaborative Research Centers SFB823/C4 and SFB876/C3, the Polish National Research Centre grant UMO-2016/22/M/ST9/ 00382 and by the Brazilian MCTIC, CNPq and FAPERJ. K.N. is thankful for the support by Marie Skłodowska-Curie actions (H2020-MSCA-COFUND-2014, Project P-Sphere GA 665919), and JSPS KAKENHI grant No. JP20KK0067 from MEXT, Japan. L.N. acknowledges funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 664931. S.I. is supported by JSPS KAKENHI grant No. JP17K05460 from MEXT, Japan, and the RIKEN iTHEMS program

    Prisoners Teaching ESL: A Learning Community among “Language Partners”

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    A program in which prisoners teach ESL classes, supported by volunteer teacher-trainers, is a learning community with immense and sometimes unforeseen value

    Randomized Clinical Trials of obesity treatments in Mexican population. Systematic Review and Meta-Analysis

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    Background: Mexicans and Mexican Americans share similar culture, genetic background, and predisposition for obesity and diabetes. Randomized clinical trials (RCT) assessing obesity treatments (ObT) are reliable to assess efficacy. To date, there is no systematic review to investigate ObT tested by RCT in Mexican adults. Methods: We conducted systematic searches in Pubmed, Scopus, and Web of Science to retrieve ObT RCT from 1990 to 2019. The ObT included alternative medicine, pharmacological, nutritional, behavioral, and surgical interventions. The analyzed RCT were at least three months of duration, and reported: BMI, weight, waist circumference, triglycerides, glucose and blood pressure. Results: We found 634 entries; after removal of duplicates and exclusions based on eligibility criteria, we analyzed 43 and 2 multinational-collaborative studies. Most of the national studies had small sample sizes, and did not have replications from other studies. The nutrition/behavioral interventions were difficult to blind, and most studies had medium to high risk of bias. Random effects meta-analysis of nutritional/behavioral interventions and medications showed effects on BMI, waist circumference, and blood pressure. Simple measures like plain water instead of sweet beverages decreased triglycerides and systolic blood pressure. Participants with obesity and hypertension had beneficial effects with antioxidants, and the treatment with insulin increased weight in those with T2D. Conclusions: The RCT’s in Mexico reported effects on metabolic components despite small sample sizes and lack of replication. In the future we should analyze ObT in population living on the U.S.-Mexico border; therefore, bi-national collaboration is desirable to disentangle cultural effects on ObT response

    Transformative Materials to Create 3D Functional Human Tissue Models In Vitro in a Reproducible Manner

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    Recreating human tissues and organs in the petri dish to establish models as tools in biomedical sciences has gained momentum. These models can provide insight into mechanisms of human physiology, disease onset, and progression, and improve drug target validation, as well as the development of new medical therapeutics. Transformative materials play an important role in this evolution, as they can be programmed to direct cell behavior and fate by controlling the activity of bioactive molecules and material properties. Using nature as an inspiration, scientists are creating materials that incorporate specific biological processes observed during human organogenesis and tissue regeneration. This article presents the reader with state-of-the-art developments in the field of in vitro tissue engineering and the challenges related to the design, production, and translation of these transformative materials. Advances regarding (stem) cell sources, expansion, and differentiation, and how novel responsive materials, automated and large-scale fabrication processes, culture conditions, in situ monitoring systems, and computer simulations are required to create functional human tissue models that are relevant and efficient for drug discovery, are described. This paper illustrates how these different technologies need to converge to generate in vitro life-like human tissue models that provide a platform to answer health-based scientific questions.</p

    Severe Acute Respiratory Syndrome Coronavirus Envelope Protein Regulates Cell Stress Response and Apoptosis

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    Severe acute respiratory syndrome virus (SARS-CoV) that lacks the envelope (E) gene (rSARS-CoV-ΔE) is attenuated in vivo. To identify factors that contribute to rSARS-CoV-ΔE attenuation, gene expression in cells infected by SARS-CoV with or without E gene was compared. Twenty-five stress response genes were preferentially upregulated during infection in the absence of the E gene. In addition, genes involved in signal transduction, transcription, cell metabolism, immunoregulation, inflammation, apoptosis and cell cycle and differentiation were differentially regulated in cells infected with rSARS-CoV with or without the E gene. Administration of E protein in trans reduced the stress response in cells infected with rSARS-CoV-ΔE or with respiratory syncytial virus, or treated with drugs, such as tunicamycin and thapsigargin that elicit cell stress by different mechanisms. In addition, SARS-CoV E protein down-regulated the signaling pathway inositol-requiring enzyme 1 (IRE-1) of the unfolded protein response, but not the PKR-like ER kinase (PERK) or activating transcription factor 6 (ATF-6) pathways, and reduced cell apoptosis. Overall, the activation of the IRE-1 pathway was not able to restore cell homeostasis, and apoptosis was induced probably as a measure to protect the host by limiting virus production and dissemination. The expression of proinflammatory cytokines was reduced in rSARS-CoV-ΔE-infected cells compared to rSARS-CoV-infected cells, suggesting that the increase in stress responses and the reduction of inflammation in the absence of the E gene contributed to the attenuation of rSARS-CoV-ΔE

    Evenness mediates the global relationship between forest productivity and richness

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    1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explained by low evenness in speciose communities. Productivity generally increases with species richness, until reduced evenness limits the overall increases in community diversity. Our research suggests that evenness is a fundamental component of biodiversity–ecosystem function relationships, and is of critical importance for guiding conservation and sustainable ecosystem management decisions

    Evenness mediates the global relationship between forest productivity and richness

    Get PDF
    1. Biodiversity is an important component of natural ecosystems, with higher species richness often correlating with an increase in ecosystem productivity. Yet, this relationship varies substantially across environments, typically becoming less pronounced at high levels of species richness. However, species richness alone cannot reflect all important properties of a community, including community evenness, which may mediate the relationship between biodiversity and productivity. If the evenness of a community correlates negatively with richness across forests globally, then a greater number of species may not always increase overall diversity and productivity of the system. Theoretical work and local empirical studies have shown that the effect of evenness on ecosystem functioning may be especially strong at high richness levels, yet the consistency of this remains untested at a global scale. 2. Here, we used a dataset of forests from across the globe, which includes composition, biomass accumulation and net primary productivity, to explore whether productivity correlates with community evenness and richness in a way that evenness appears to buffer the effect of richness. Specifically, we evaluated whether low levels of evenness in speciose communities correlate with the attenuation of the richness–productivity relationship. 3. We found that tree species richness and evenness are negatively correlated across forests globally, with highly speciose forests typically comprising a few dominant and many rare species. Furthermore, we found that the correlation between diversity and productivity changes with evenness: at low richness, uneven communities are more productive, while at high richness, even communities are more productive. 4. Synthesis. Collectively, these results demonstrate that evenness is an integral component of the relationship between biodiversity and productivity, and that the attenuating effect of richness on forest productivity might be partly explained by low evenness in speciose communities. Productivity generally increases with species richness, until reduced evenness limits the overall increases in community diversity. Our research suggests that evenness is a fundamental component of biodiversity–ecosystem function relationships, and is of critical importance for guiding conservation and sustainable ecosystem management decisions

    Joint Observation of the Galactic Center with MAGIC and CTA-LST-1

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    MAGIC is a system of two Imaging Atmospheric Cherenkov Telescopes (IACTs), designed to detect very-high-energy gamma rays, and is operating in stereoscopic mode since 2009 at the Observatorio del Roque de Los Muchachos in La Palma, Spain. In 2018, the prototype IACT of the Large-Sized Telescope (LST-1) for the Cherenkov Telescope Array, a next-generation ground-based gamma-ray observatory, was inaugurated at the same site, at a distance of approximately 100 meters from the MAGIC telescopes. Using joint observations between MAGIC and LST-1, we developed a dedicated analysis pipeline and established the threefold telescope system via software, achieving the highest sensitivity in the northern hemisphere. Based on this enhanced performance, MAGIC and LST-1 have been jointly and regularly observing the Galactic Center, a region of paramount importance and complexity for IACTs. In particular, the gamma-ray emission from the dynamical center of the Milky Way is under debate. Although previous measurements suggested that a supermassive black hole Sagittarius A* plays a primary role, its radiation mechanism remains unclear, mainly due to limited angular resolution and sensitivity. The enhanced sensitivity in our novel approach is thus expected to provide new insights into the question. We here present the current status of the data analysis for the Galactic Center joint MAGIC and LST-1 observations
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