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Porous lattice structure of femoral stem for total hip arthroplasty
(2020-04-30)Total Hip Arthroplasty (THA) is one of the surgical procedures carried out satisfactorily in procedures for osteoarthritis and trauma lesions. ATC surgery reduces pain and improves the quality of life of young patients. ... -
POTENTIAL AND ECONOMIC FEASIBILITY OF A WIND POWER PLANT IN CIUDAD JUÁREZ, MEXICO
(2023-03-30)This study investigated the wind energy potential of Ciudad Juárez (Chihuahua, Mexico) for an entire year. The viability of using three small-scale wind turbine models, including S-343, Bergey BWC Excel, and AOC 15/50, in ... -
Pre-existing comorbidity, the highest risk factor for poor prognosis of COVID-19 among the Mexican population
(2021-04-09)The coronavirus disease 2019 (COVID-19) pandemic represents a challenge for public health and a high risk for patients with pre-existing comorbidity. As of July 20, 2020, the Case Fatality Rate (CFR) was 11.30% and the ... -
Pre-twisted calculus and differential equations
(2023-07-10)In this paper we introduce the φA-differentiability for functions f:U⊂R^k→R^n, where U is an open set, A is the linear space R^n endowed with a unital associative commutative algebra product, and φ:U⊂R^k→A is a differentiable ... -
Precise Definition of a “Monolayer Point” in Polymer Brush Films for Fabricating Highly Coherent TiO2 Thin Films by Vapor-Phase Infiltration
(2020-10-06)In this work, we show that in order to fabricate coherent titania (TiO2) films with precise thickness control, it is critical to generate a complete polymer brush monolayer. To date, demonstrations of such dense polymer ... -
Predicción del éxito de proyectos de videojuegos en Kickstarter con aprendizaje automático
(2020-08-01)Kickstarter se ha convertido en el principal medio de financiamiento para proyectos de desarrolladores independientes. En esta plataforma se han subvencionado exitosamente alrededor de 2,500 proyectos de videojuegos. Aún ... -
Predicting airline customer satisfaction using k-nn ensemble regression models
(2019)Customer satisfaction questionnaires are a rich and strong source of information for companies to seek loyalty, customer and client retention, opti- mize resources, and repurchase products. Several advanced machine learning ... -
Prediction of time series using an analysis filter bank of LSTM units
(2021-04-29)Time series emerge in various applications such as financial data and production data, however, most of the generated data exhibit nonlinear inter-dependency between samples and noise, making necessary the development of ... -
Prediction of time series using wavelet Gaussian process for wireless sensor networks
(2020-01-08)The detection and transmission of a physical variable over time, by a node of a sensor network to its sink node, represents a significant communication overload and consequently one of the main energy consumption processes. ... -
Predictive model of burnout and labor satisfaction
(2018-10-10)The purpose of this study was to determine the relationship between burnout syndrome and job satisfaction in full-time professors of a Mexican university. The sample consisted of 230 randomly selected teachers, of whom 139 ... -
Predictor Model of the Supply Chain Effectiveness based on Critical Sucess Factors in a Commerce Retail Industry
(2022-08-02)The business environments of the globalized economy present increasing complexity under highly variable conditions of volatility, risk, and uncertainty that exert intense pressures on retailers; some of them develop ... -
Predictors of organizational resilience by factorial analysis
(2019-03-27)The global economy is characterized by a progressive complexity, uncertainty, and volatility, which exert intense pressures to organizations and confronts them, with increasing frequency, to disruptive and unexpected ... -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
(2021-12-23)In this paper, we enriched Ant Colony Optimization (ACO) with interval outranking to develop a novel multi-objective ACO optimizer to approach problems with many objective functions. This proposal is suitable if the ... -
Probabilistic Linear Time-Dependent Stress Beam Analysis and Its Stress-Strength Reliability
(2021-04-12)Based on the principal stress values generated by the bending beam, the material’s strength required at 10^6 cycles is determined depending on time. To determine the stress/strength reliability (R(t)), the stress distribution ... -
Proceso de impresión en impresora 3D con doble extrusor usando modelado por deposición fundida (FDM)
(2022-06-30)La aparición de tecnologías de fabricación avanzadas, junto con las demandas de los consumidores de productos y servicios más personalizados, está provocando cambios en la escala y distribución de la fabricación [1]. Una ... -
Procesos de Oxidación Avanzada y Electroquímicos para Remover Edulcorantes Artificiales del Agua
(2020-01-31)El objetivo de la presente revisión es presentar investigaciones recientes sobre la remoción de algunos edulcorantes —reconocidos como contaminantes emergentes— del agua o matrices acuosas, utilizando los Procesos de ... -
Process capability index for AC transformer under electrical harmonics
(2018-01-23)Nowadays, the quality of electronic devices is subjected to many variables such as electrical, thermal, mechanical and environmental factors. Voltage variation induced by electrical harmonics presented in the power lines ... -
Production and Characterization of Non-Isocyanate Polyurethane/SiO2 Films Through a Sol-Gel Process for Thermal Insulation Applications
(2019-09-29)The reaction of cyclic carbonates with amines is the most attractive among the synthesis methods for isocyanate-free polyurethane. Non-isocyanate polyurethane films with SiO2 NPs fabricated by a sol-gel process are ... -
Project portfolio selection with scheduling: an evolutionary approach
(2019)This paper addresses the project portfolio selection problem enriched with scheduling. Thefactors considered for project scheduling are: the planning time horizon and the negative impact of theproject completion time on ... -
Promoting green infrastructure in Mexico's northern border: The Border Environment Cooperation Commission's experience and lessons learned
(2019-01-01)This paper describes the application of a comprehensive strategic approach for integrating Green Infrastructure (GI) in urban planning in Mexican communities along the U.S-Mexico border as a means to mitigate the environmental, ...