29 research outputs found
Energy Consumption Analysis Of Machining Centers Using Bayesian Analysis And Genetic Optimization
Responding to the current urgent need for low carbon emissions and high
efficiency in manufacturing processes, the relationships between three
different machining factors (depth of cut, feed rate, and spindle rate) on
power consumption and surface finish (roughness) were analysed by applying a
Bayesian seemingly unrelated regressions (SUR) model. For the analysis, an
optimization criterion was established and minimized by using an optimization
algorithm that combines evolutionary algorithm methods with a derivative-based
(quasi-Newton) method to find the optimal conditions for energy consumption
that obtains a good surface finish quality. A Bayesian ANOVA was also performed
to identify the most important factors in terms of variance explanation of the
observed outcomes. The data were obtained from a factorial experimental design
performed in two computerized numerical control (CNC) vertical machining
centers (Haas UMC-750 and Leadwell V-40iT). Some results from this study show
that the feed rate is the most influential factor in power consumption, and the
depth of cut is the factor with the stronger influence on roughness values. An
optimal operational point is found for the three factors with a predictive
error of less than 0.01% and 0.03% for the Leadwell V-40iT machine and the Haas
UMC-750 machine, respectively
Explicit solution of the (quantum) elliptic Calogero-Sutherland model
We derive explicit formulas for the eigenfunctions and eigenvalues of the
elliptic Calogero-Sutherland model as infinite series, to all orders and for
arbitrary particle numbers and coupling parameters. The eigenfunctions obtained
provide an elliptic deformation of the Jack polynomials. We prove in certain
special cases that these series have a finite radius of convergence in the nome
of the elliptic functions, including the two particle (= Lam\'e) case for
non-integer coupling parameters.Comment: v1: 17 pages. The solution is given as series in q but only to low
order. v2: 30 pages. Results significantly extended. v3: 35 pages. Paper
completely revised: the results of v1 and v2 are extended to all order
Mapping density, diversity and species-richness of the Amazon tree flora
Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution
Ecos de la academia: Revista de la Facultad de EducaciĂłn, Ciencia y TecnologĂa - FECYT Nro 6
Ecos de la academia, Revista de la Facultad de EducaciĂłn Ciencia y TecnologĂa es una publicaciĂłn cientĂfica de la Universidad TĂ©cnica del Norte, con revisiĂłn por pares a doble ciego que publica artĂculos en idioma español, quichua, portuguĂ©s e inglĂ©s. Se edita con una frecuencia semestral con dos nĂșmeros por año.En ella se divulgan trabajos originales e inĂ©ditos generados por los investigadores, docentes y estudiantes de la FECYT, y contribuciones de profesionales de instituciones docentes e investigativas dentro y fuera del paĂs, con calidad, originalidad y relevancia en las ĂĄreas de ciencias sociales y tecnologĂa aplicada.Modelos multidimensionales del bienestar en contextos de enseñanza- aprendizaje: una revisiĂłn sistemĂĄtica.
Nuevas tendencias para el årea académica de la Publicidad en la zona 1 del Ecuador.
Propuesta de un curso de escritura académica bajo la base de modelos experienciales.
AproximaciĂłn al estudio de las emociones.
Seguimiento a egresados y graduados para actualizar el perfil de egreso y profesional.
Impacto de la Gerencia de Calidad en el clima organizacional en EducaciĂłn BĂĄsica.
ComunicaciĂłn efectiva del gerente educativo orientada al manejo de conflictos en el personal docente.
Meritocracia: DemocratizaciĂłn o exclusiĂłn en el acceso a la educaciĂłn superior en Ecuador.
Asertividad y desempeño académico en estudiantes universitarios.
La creatividad en la formaciĂłn profesional.
Aspectos metodológicos en el proceso de enseñanza- aprendizaje de la gimnasia en estudiantes
de EducaciĂłn FĂsica.
English Language Learning Interaction through Web 2.0 Technologies.
La sistematizaciĂłn de la prĂĄctica educativa y su relaciĂłn con la metodologĂa de la investigaciĂłn.
El ozono y la oxigenaciĂłn hiperbĂĄrica: una vĂa para mejorar la recuperaciĂłn en lesiones deportivas.
La labor tutorial: Independencia del aprendizaje en el contexto universitario.
Motivación hacia la profesión docente en la Enseñanza Secundaria.
El uso académico de Facebook y WhatsApp en estudiantes universitarios...
La educaciĂłn superior en Ecuador: situaciĂłn actual y factores de mejora de la calidad.
El Proyecto de InvestigaciĂłn âImbabura Ătnicaâ
Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology
In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics
Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology
In a time of rapid global change, the question of what determines patterns in species abundance distribution remains a priority for understanding the complex dynamics of ecosystems. The constrained maximization of information entropy provides a framework for the understanding of such complex systems dynamics by a quantitative analysis of important constraints via predictions using least biased probability distributions. We apply it to over two thousand hectares of Amazonian tree inventories across seven forest types and thirteen functional traits, representing major global axes of plant strategies. Results show that constraints formed by regional relative abundances of genera explain eight times more of local relative abundances than constraints based on directional selection for specific functional traits, although the latter does show clear signals of environmental dependency. These results provide a quantitative insight by inference from large-scale data using cross-disciplinary methods, furthering our understanding of ecological dynamics
Mapping density, diversity and species-richness of the Amazon tree flora
Using 2.046 botanically-inventoried tree plots across the largest tropical forest on Earth, we mapped tree species-diversity and tree species-richness at 0.1-degree resolution, and investigated drivers for diversity and richness. Using only location, stratified by forest type, as predictor, our spatial model, to the best of our knowledge, provides the most accurate map of tree diversity in Amazonia to date, explaining approximately 70% of the tree diversity and species-richness. Large soil-forest combinations determine a significant percentage of the variation in tree species-richness and tree alpha-diversity in Amazonian forest-plots. We suggest that the size and fragmentation of these systems drive their large-scale diversity patterns and hence local diversity. A model not using location but cumulative water deficit, tree density, and temperature seasonality explains 47% of the tree species-richness in the terra-firme forest in Amazonia. Over large areas across Amazonia, residuals of this relationship are small and poorly spatially structured, suggesting that much of the residual variation may be local. The Guyana Shield area has consistently negative residuals, showing that this area has lower tree species-richness than expected by our models. We provide extensive plot meta-data, including tree density, tree alpha-diversity and tree species-richness results and gridded maps at 0.1-degree resolution
Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
Abstract
Background
Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres.
Methods
This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and lowâmiddle-income countries.
Results
In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of âsingle-useâ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for lowâmiddle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia.
Conclusion
This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both highâ and lowâmiddleâincome countries