541 research outputs found

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    The “Top-Down” Approach to the Evaluation of Children with Febrile Urinary Tract Infection

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    The evaluation of children presenting with urinary tract infection (UTI) has long entailed sonography and cystography to identify all urological abnormalities that might contribute to morbidity. The identification of vesicoureteral reflux (VUR) has been of primary concern since retrospective studies from the 1930s to 1960s established a strong association between VUR, recurrent UTI, and renal cortical scarring. It has been proposed that all VUR carries a risk for renal scarring and, therefore, all VUR should be identified and treated. We will not discuss the controversies surrounding VUR treatment in this review focusing instead on a new paradigm for the evaluation of the child with UTI that is predicated on identifying those at risk for scarring who are most deserving of further evaluation by cystography

    Experimental study of R1234yf as a drop-in replacement for R134a in a domestic refrigerator

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    This paper presents an experimental study for three identical domestic refrigerators using R1234yf as a drop-in replacement for R134a. An alternative methodology was proposed to estimate the optimal mass charge for R1234yf; with the use of such methodology, new evidences were sought on the thermal behavior of the refrigerator compartments as well as at the heat exchangers. Additionally, energy performance for both refrigerants was measured, and, finally, a TEWI analysis was conducted. For the type of refrigerator evaluated, results showed that R1234yf presented an average (for the 3 refrigerators) of 0.4 °C for the fresh food compartment, and 1.2 °C for the freezer, among different charges with respect to R134a. The optimal charge for R1234yf was 92.2 g, which is about 7.8% lower than the one for R134a, which represents a small increase of 4% in energy consumption in comparison to R134a. Finally, the TEWI analysis for the R1234yf was 1.07% higher than the R134a.We thank Universidad de Guanajuato for the support in the realization of this research. We also want to thank the Company Honeywell (through Marco García) for the donation of the refrigerant R1234yf, and to acknowledge the support of Mabe TyP in the performing of the tests. The authors wish to thank to Montoro Sanjosé Carlos Rubín for their support in the editing of the English-language version of this paper

    An Econometric Analysis of the Impact of Technology on the Work Lives of Truck Drivers

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    We investigate the relationship between technology and drivers’ work lives using data from the UMTIP Driver Survey. Focusing first on which types of drivers are more likely to use satellite technology, we find that drivers in private carriage, union drivers, and those paid by the hour or as percent of revenue are least likely to drive trucks equipped with SBS. The largest firms are most likely to equip their trucks with SBS, providing some evidence of scale effects of this technology. There is also evidence that SBS technology is used as a substitute for experience. Examining the impact of satellite technology on worker outcomes, we find that SBS does more than simply lower drivers’ pay. Consistent with the skill-bias hypothesis, drivers who use satellite systems may be paid less per mile. In contrast, drivers on satellite-equipped trucks realize 17.6% higher annual earnings. The higher earnings are due to the increased mileage of such drivers, about 22,000 additional miles per year. Part of this mileage gain is explained by efficiencies provided by these systems, but drivers with satellites also work 14% more hours weekly. The increased hours would account for approximately 60 percent of the increase in mileage; the remaining 40 percent is associated with improved productivity and is captured entirely by the firm. The overall finding, that technology improves productivity and earnings but intensifies and lengthens the workday, is consistent with sociological studies of technology (Graham, 1995)

    Treatment with Haemodiafiltration Stabilises Vascular Stiffness (Measured by Aortic Pulse Wave Velocity) Compared to Haemodialysis.

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    Background/Aims: Cerebrovascular diseases such as stroke are increased in dialysis patients, and haemodiafiltration has been reported to reduce cerebrovascular mortality compared to haemodialysis. We wished to determine whether haemodiafiltration improves arterial stiffness. Methods: We audited aortic pulse wave velocity (PWV) measurements 6 months apart in 3 cohorts of patients: 69 treated with haemodialysis, 78 who converted from haemodialysis to haemodiafiltration and 142 treated with haemodiafiltration. Results: Cohorts were well matched for age (means ± SD: haemodialysis 64 ± 15 years vs. haemodialysis to haemodiafiltration 64 ± 17 years vs. haemodiafiltration 67 ± 16 years), sex (male 65 vs. 59 vs. 63%), diabetes (45 vs. 56.4 vs. 44%) and body mass index (26 ± 6 vs. 26 ± 5 vs. 26 ± 5), respectively. Systolic blood pressure did not differ over time (haemodialysis 143 ± 25 vs. 146 ± 27 mm Hg, haemodialysis to haemodiafiltration 153 ± 26 vs. 154 ± 25 mm Hg, haemodiafiltration 149 ± 31 vs. 148 ± 30 mm Hg) or between groups. Aortic PWV significantly increased in the haemodialysis group (9.5 ± 1.9 vs. 10.2 ± 2.2 m/s, p < 0.01) and haemodialysis to haemodiafiltration group (9.4 ± 1.9 vs. 10.1 ± 2.2 m/s, p < 0.01), but did not change with haemodiafiltration (9.9 ± 2.1 vs. 10.1 ± 2.2 m/s). Conclusions: Aortic PWV, a measure of vascular stiffness, stabilised with haemodiafiltration. Our preliminary findings require further investigation to determine how haemodiafiltration may potentially improve vascular stiffness. © 2014 S. Karger AG, Basel

    The effects of inspiratory muscle training in older adults

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    Purpose: Declining inspiratory muscle function and structure and systemic low-level inflammation and oxidative stress may contribute to morbidity and mortality during normal ageing. Therefore, we examined the effects of inspiratory muscle training (IMT) in older adults on inspiratory muscle function and structure and systemic inflammation and oxidative stress, and re-examined the reported positive effects of IMT on respiratory muscle strength, inspiratory muscle endurance, spirometry, exercise performance, physical activity levels (PAL) and quality of life (QoL). Methods: Thirty-four healthy older adults (68 ± 3 years) with normal spirometry, respiratory muscle strength and physical fitness were divided equally into a pressure-threshold IMT or sham-hypoxic placebo group. Before and after an 8 week intervention, measurements were taken for dynamic inspiratory muscle function and inspiratory muscle endurance using a weighted plunger pressure-threshold loading device, diaphragm thickness using B-mode ultrasonography, plasma cytokine concentrations using immunoassays, DNA damage levels in peripheral blood mononuclear cells (PBMC) using Comet Assays, spirometry, maximal mouth pressures, exercise performance using a six minute walk test, PAL using a questionnaire and accelerometry, and QoL using a questionnaire

    Comprehensive analysis of design principles in the context of Industry 4.0

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    [ES] Los sistemas de producción han evolucionado los últimos años gracias a avances tecnológicos recientes e innovaciones en el proceso de manufactura. El termino Industria 4.0 se ha convertido en prioridad y objeto de estudio para empresas, centros de investigación y universidades, sin existir un consenso generalmente aceptado del término. Como resultado es difícil diseñar e implementar soluciones de Industria 4.0 a nivel académico, científico o empresarial. La contribución de este documento se centra en proporcionar un análisis del significado e implicaciones de Industria 4.0 y exponer de forma detallada 17 principios de diseño fundamentales obtenidos a través de un estudio de mapeo sistemático. Estos principios son eficiencia, integración, flexibilidad, descentralización, personalización, virtualización, seguridad, es holística, orientada a servicios, ubicua, colaborativa, modular, robusta, utiliza información en tiempo real, toma decisiones optimizadas por datos, equilibra la vida laboral y es autónoma e inteligente. A través de estos principios, ingenieros e investigadores están capacitados para investigar e implementar escenarios apropiados de Industria 4.0.[EN] Production systems have evolved in the last years thanks to the recent technological advances and innovations in the manufacturing process. The Industry 4.0 term has become a priority and object of study for companies, research centers and universities, but there is not a generally accepted consensus for the term. As a result, is difficult design and implementation appropriate Industry 4.0 solutions at academic, scientific or business level. The contribution of this paper focuses on providing an analysis of Industry 4.0 meaning and implications and exposes in detail 17 fundamental design principles obtained by a systematic mapping study method. These principles are efficiency, integration, flexibility, decentralization, personalization, virtualization, security, is holistic, ubiquitous, collaborative, modular, robust, use information in real time, makes optimized decisions driven by data, is service-oriented, work life balance and is autonomous and intelligent. With these design principles, engineers and researchers have the capacity to research and implement appropriate Industry 4.0 scenarios.Belman-Lopez, CE.; Jiménez-García, JA.; Hernández-González, S. (2020). Análisis exhaustivo de los principios de diseño en el contexto de Industria 4.0. Revista Iberoamericana de Automática e Informática industrial. 17(4):432-447. https://doi.org/10.4995/riai.2020.12579OJS432447174Ahmad, A., & Babar, M. (2016). 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Procedia Computer Science, 364-371. https://doi.org/10.1016/j.procs.2018.10.278Crawford, M., & ASME.org. (01 de Julio de 2018). How Industry 4.0 Impacts Engineering Design. Obtenido de ASME: https://www.asme.org/engineering- topics/articles/manufacturing-design/industry-40-impacts-engineering-designdefinicionde.org. (27 de Diciembre de 2016). Definición de ubicuo - Que es según la RAE? Obtenido de Definición de las palabras: http://definicionde.org/ubicuo/Delaram, J., & Valilai, O. (2016). Development of a Novel Solution to Enable Integration and Interoperability for Cloud Manufacturing. Procedia CIRP, 6-11. https://doi.org/10.1016/j.procir.2016.07.056Delicato, F., Al-Anbuky, A., & Wang, K.-K. (2019). Editorial: Smart Cyber-Physical Systems: Toward Pervasive Intelligence systems. Future Generation Computer Systems, 1-6. https://doi.org/10.1016/j.future.2019.06.031Deloitte. (05 de 10 de 2018). ¿Qué es la Industria 4.0? Obtenido de Deloite.: https://www2.deloitte.com/es/es/pages/manufacturing/articles/que-es-la- industria-4.0.htmlDilberoglua, U., Bahar, G., Yaman, U., & Dolen, M. (2017). The role of additive manufacturing in the era of Industry 4.0. International Conference on Flexible Automation and Intelligent Manufacturing (págs. 1-10). Italia: Procedia Manufacturing. https://doi.org/10.1016/j.promfg.2017.07.148European Secretariat for Cluster Analysis. (2017). Quality audit: Gold Label of the European Cluster Excellence Initiative (ECEI). Obtenido de ESCA: https://www.cluster-analysis.org/gold-label-newEvans, P., & Annunziata, M. (26 de Noviembre de 2012). Industrial Internet: Pushing the Boundaries of Minds and Machines. Obtenido de GE: https://www.ge.com/docs/chapters/Industrial_Internet.pdfFatorachian, H., & Kazemi, H. (2018). A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework. Production Planning & Control, 633-644. https://doi.org/10.1080/09537287.2018.1424960Federal Minister of Education and Research. (2013). Deutschlands Spitzencluster Germany's Leading-Edge Clusters. Obtenido de Federal Ministry of Education and Research (BMBF): https://www.hamburg.de/contentblob/2593364/3113df3e6f569c97b937bd8747 5564db/data/deutschlands-spitzencluster.pdfFerreira,, J., Sarraipa, J., Ferro-Beca, M., Agostinho, C., Costa, R., & Jardim-Goncalves, R. (2016). End-to-end manufacturing in factories of the future. International Journal of Computer Integrated Manufacturing, 1-14. https://doi.org/10.1080/0951192X.2016.1185155Fettermann, D., Cavalcante, C., Domingues de Almeida, T., & Tortorella, G. (2018). How does Industry 4.0 contribute to operations management? Journal of Industrial and Production Engineering, 1-15. https://doi.org/10.1080/21681015.2018.1462863Francalanza, E., Borg, J., & Constantinescu, C. (2018). Approaches for handling wicked manufacturing system design problems. Procedia CIRP, 67, 134-139. https://doi.org/10.1016/j.procir.2017.12.189García, M., Irisarri, E., Pérez, F., Estévez, E., & Marcos, M. (2017). Arquitectura de Automatización basada en Sistemas Ciberfísicos para la Fabricación Flexible en la Industria de Petróleo y Gas. Revista Iberoamericana de Automática e Informática Industrial, 1-11. https://doi.org/10.4995/riai.2017.8823Germany Trade & Invest (GTAI). (1 de Julio de 2014). Industrie 4.0 Smart Manufacturing for the future. Obtenido de Germany Trade & Invest (GTAI): https://www.gtai.de/GTAI/Content/CN/Invest/_SharedDocs/Downloads/GTAI/ Brochures/Industries/industrie4.0-smart-manufacturing-for-the-future-en.pdfGhobakhloo, M. (2019). Determinants of information and digital technology implementation for smart manufacturing. International Journal of Production Research, 1-23. https://doi.org/10.1080/00207543.2019.1630775Götz, M., & Jankowska, B. (2017). Clusters and Industry 4.0 - do they fit together? European Planning Studies, 1633-1653. https://doi.org/10.1080/09654313.2017.1327037Gregor, S. (2002). A Theory of Theories in Information Systems. Information Systems Foundations. Building the Theoretical, 1 - 20.Gregor, S. (2009). Building Theory in the Sciences of the Artificial. Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology (págs. 1- 10). Philadelphia, Pennsylvania, USA: ACM Digital Library. https://doi.org/10.1145/1555619.1555625Henzel, R., & Herzwurm, G. (2018). Cloud Manufacturing: A state-of-the-art survey of current issues. CIRP, 947-952. https://doi.org/10.1016/j.procir.2018.03.055Hermann, M., Otto, B., & Pentek, T. (2015). Design Principles for Industrie 4.0 Scenarios: A Literature Review. ResearchGate, 1-16. https://doi.org/10.13140/RG.2.2.29269.22248Hernández A., A., Figueroa F., V., & Jiménez G., J. (2018). Propuesta de una metodología de diagnóstico para identificar los requerimientos tecnológicos de una empresa tradicional de manufactura para evolucionar a Industria 4.0. Celaya, Guanajuato, México: Tecnológico Nacional de México en Celaya.Huang, S., & Yan, Y. (2019). Design of delayed reconfigurable manufacturing system based on part family grouping and machine selection. International Journal of Production Research, 1-19. https://doi.org/10.1080/00207543.2019.1654631Ibarra, D., Ganzarain, J., & Igartua, J. (2017). Business model innovation through Industry 4.0: A review. Procedia Manufacturing, 4-10. https://doi.org/10.1016/j.promfg.2018.03.002Jardim-Goncalves, R., Romero, D., & Grilo, A. (2017). Factories of the future: challenges and leading innovations in intelligent manufacturing. International Journal of Computer Integrated Manufacturing, 30, 4-14.Jazdi, N. (17 de Jolio de 2014). Cyber Physical Systems in the Context of Industry 4.0. IEEE International Conference on Automation, Quality and Testing, Robotics. (págs. 1-3). Cluj-Napoca, Romania: IEEE. https://doi.org/10.1109/AQTR.2014.6857843Kagermann, H., Wahlster, W., & Helbig, J. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Final report of the Industrie 4.0 Working Group. National Academy of Science and Engineering (acatech)., 1-82.Kamble, S., Gunasekaran, A., & Gawankar, S. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 408-425. https://doi.org/10.1016/j.psep.2018.05.009Khan, K., Kunz, R., Kleijnen, J., & Antes, G. (2003). Five steps to conducting a systematic review. Journal of the royal society of medicine, 118-121. https://doi.org/10.1177/014107680309600304Kipper, L., Furstenau, L., Hoppe, D., Frozza, R., & Iespen, S. (2019). Scopus scientific mapping production in industry 4.0 (2011-2018): a bibliometric analysis. International Journal of Production Research, 1-24. doi:https://doi.org/10.1080/00207543.2019.1671625Klingenberg, C. (2017). Industry 4.0: what makes it a revolution? EurOMA (págs. 1-11). ResearchGate.Kusiak, A. (2017). Smart manufacturing. International Journal of Production Research, 508-517. https://doi.org/10.1080/00207543.2017.1351644Laudante, E. (2017). Industry 4.0, Innovation and Design. A new approach for ergonomic analysis in manufacturing system. An International Journal for All Aspects of Design, 1-12. https://doi.org/10.1080/14606925.2017.1352784Lee, J., Ardakani, H., Yang, S., & Bagheri, B. (2015). Industrial big data analytics and cyber-physical systems for future maintenance & service innovation. Procedia CIRP, 3-7. https://doi.org/10.1016/j.procir.2015.08.026Lee, J., Bagheri, B., & Kao, H.-A. (2014). 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"Digital twin", un gemelo virtual para aconsejar a la Industria 4.0. Obtenido de MIT Technology Review: https://www.technologyreview.es/s/10696/digital-twin-un-gemelo-virtual-para- aconsejar-la-industria-40Moghaddam, S., Houshmand, M., Saitou, K., & Valilai, O. (2019). Configuration design of scalable reconfigurable manufacturing systems for part family. International Journal of Production Research, 1-24. https://doi.org/10.1080/00207543.2019.1620365Moktadir, M., Ali, S., Kusi-Sarpong, S., & Ali Shaikh, M. (2018). Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. Process Safety and Environmental Protection, 730- 741. https://doi.org/10.1016/j.psep.2018.04.020Muhuri, P., Shukla, A., & Abraham, A. (2019). Industry 4.0: A bibliometric analysis and detailed overview. 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    A simple levitated-drop tensiometer

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    A reliable, simple, and affordable liquid tensiometer is presented in this paper. The instrument consists of 72 ultrasonic transmitters in a tractor beam configuration that levitates small liquid samples (droplets) in air. Under operation, the instrument imparts a pressure instability that causes the droplet to vibrate while still levitating. Droplet oscillations are then detected by a photodiode, and the signal is recorded by an oscilloscope. The frequency of these oscillations is obtained and then used to obtain the effective surface tension of the sample. The instrument operates at the millisecond scale time (t < 12.5 ms), with very small liquid volumes (∼0.5 μl), and the sample is recoverable after testing. The instrument has been experimentally validated with acetone, ethanol, Fluorinert FC-40, water, and whole milk

    Framing or Gaming? Constructing a Study to Explore the Impact of Option Presentation on Consumers

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    The manner in which choice is framed influences individuals’ decision-making. This research examines the impact of different decision constructs on decision-making by focusing on the more problematic decision constructs: the un-selected and pre-selected optout. The study employs eye-tracking with cued retrospective think-aloud (RTA) to combine quantitative and qualitative data. Eye-tracking will determine how long a user focuses on a decision construct before taking action. Cued RTA where the user will be shown a playback of their interaction will be used to explore their attitudes towards a decision construct and identify problematic designs. This pilot begins the second of a three phase study, which ultimately aims to develop a research model containing the theoretical constructs along with hypothesized causal associations between the constructs to reveal the impact of measures such as decision construct type, default value type and question framing have on the perceived value of the website and loyalty intentions
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