Modelo de atributos múltiples de fishbein aplicado a la categoría de vehículos: una aproximación empírica en la ciudad de Guayaquil

Durante el proceso de compra, el consumidor se encuentra frente a una multitud de variables a analizar, las cuales dependen del producto que vaya a comprar y de la situación de compra. Varias fuentes proporcionan al consumidor información acerca del producto que va a ser adquirido, que van desde la publicidad hasta su propia experiencia. La información procesada inicia un desarrollo, cambio o confirmación de las ideas relativas al producto y la importancia que tiene cada uno de los atributos para sus necesidades actuales. El individuo reestructura o distorsiona esta información de manera que encaje dentro de sus creencias y actitudes del momento. Además tomará en cuenta la opinión de las personas importantes para él, siendo un factor que puede afectar la decisión de compra. Es por esto que el planteamiento de esta tesis será determinar cuáles son los atributos que son tomados en cuenta en el proceso de compra de un vehículo y determinar cuales son los más importantes, al momento de evaluar las marcas. De igual manera se pretende determinar la influencia que tiene el grupo de referencia en el individuo, al momento de tomar la decisión de adquirir un vehículo

Catálisis en el Centro Conjunto de Investigación en Química Sustentable, uaem-unam*

Describimos aquí las actividades de investigación en el área de catálisis realizadas por algunas investigadoras de la Facultad de Química de la Universidad Autónoma del Estado de México, adscritas al Centro Conjunto de Investigación en Química Sustentable, uaem-unam. Se incluyen las líneas de investigación que desarrollan, las contribuciones que han generado y los logros en este campo obtenidos en los últimos años. También se presenta información sobre la infraestructura con que se cuenta en el cciqs y en la Facultad de Química para llevar a cabo investigación sobre catálisis; la importancia que tienen los trabajos de colaboración nacional e internacional, así como, la formación de recursos humanos altamente especializados en esta área. Por último, presentamos las perspectivas de investigación y desarrollo planteadas para el campo de la catálisis

Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters

Multi-objective Optimization Evolutionary Algorithms (MOEAs) face numerous challenges when they are used to solve Many-objective Optimization Problems (MaOPs). Decomposition-based strategies, such as MOEA/D, divide an MaOP into multiple single-optimization sub-problems, achieving better diversity and a better approximation of the Pareto front, and dealing with some of the challenges of MaOPs. However, these approaches still require one to solve a multi-criteria selection problem that will allow a Decision-Maker (DM) to choose the final solution. Incorporating preferences may provide results that are closer to the region of interest of a DM. Most of the proposals to integrate preferences in decomposition-based MOEAs prefer progressive articulation over the “a priori” incorporation of preferences. Progressive articulation methods can hardly work without comparable and transitive preferences, and they can significantly increase the cognitive effort required of a DM. On the other hand, the “a priori” strategies do not demand transitive judgements from the DM but require a direct parameter elicitation that usually is subject to imprecision. Outranking approaches have properties that allow them to suitably handle non-transitive preferences, veto conditions, and incomparability, which are typical characteristics of many real DMs. This paper explores how to incorporate DM preferences into MOEA/D using the “a priori” incorporation of preferences, based on interval outranking relations, to handle imprecision when preference parameters are elicited. Several experiments make it possible to analyze the proposal's performance on benchmark problems and to compare the results with the classic MOEA/D without preference incorporation and with a recent, state-of-the-art preference-based decomposition algorithm. In many instances, our results are closer to the Region of Interest, particularly when the number of objectives increases

An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences

Many-objective optimization is an area of interest common to researchers, professionals, and practitioners because of its real-world implications. Preference incorporation into Multi-Objective Evolutionary Algorithms (MOEAs) is one of the current approaches to treat Many-Objective Optimization Problems (MaOPs). Some recent studies have focused on the advantages of embedding preference models based on interval outranking into MOEAs; several models have been proposed to achieve it. Since there are many factors influencing the choice of the best outranking model, there is no clear notion of which is the best model to incorporate the preferences of the decision maker into a particular problem. This paper proposes a hyper-heuristic algorithm—named HyperACO—that searches for the best combination of several interval outranking models embedded into MOEAs to solve MaOPs. HyperACO is able not only to select the most appropriate model but also to combine the already existing models to solve a specific MaOP correctly. The results obtained on the DTLZ and WFG test suites corroborate that HyperACO can hybridize MOEAs with a combined preference model that is suitable to the problem being solved. Performance comparisons with other state-of-the-art MOEAs and tests for statistical significance validate this conclusion

Synthesis and Electrical Characterization of PLZT Piezoelectric-Ceramic

This research describes the synthesis of an outstanding ceramic-composite piezoelectric CCP (lead-lanthanum-zirconate-titanate, PLZT) by means of powders technique procedures. Full dense CCP compacts were obtained with a platinum wire implanted in the center of the piezoelectric, which were used to investigate the microstructural and opto-thermal properties. The microstructural details of this ceramic were investigated by optical microscopy; whereas the opto-thermal characterization was performed by measuring the electrical signal in a bidimensional setup under four different temperatures: 20°C, 35°C, 50°C and 75°C. A 160mW/cm2 LASER beam was used in order to produce the optical energy which is detected by the CCP. A total of one hundred of measurements were registered. Measurements showed that, in the explored thermal range, the CCP signal magnitude increased from 87.2 to 147.2 pA. About the microstructural analysis, the microstructure obtained show different phases as characteristic of the processing method, including porosity. The peculiar optical and thermal properties observed in the piezoelectric ceramic are promising for possible applications in temperature-controlled optical devices that require electrical outputs

Geoffrey: An Automated Schedule System on a Social Robot for the Intellectually Challenged

The accelerated growth of the percentage of elder people and persons with brain injury-related conditions and who are intellectually challenged are some of the main concerns of the developed countries. These persons often require special cares and even almost permanent overseers that help them to carry out diary tasks. With this issue in mind, we propose an automated schedule system which is deployed on a social robot. The robot keeps track of the tasks that the patient has to fulfill in a diary basis. When a task is triggered, the robot guides the patient through its completion. The system is also able to detect if the steps are being properly carried out or not, issuing alerts in that case. To do so, an ensemble of deep learning techniques is used. The schedule is customizable by the carers and authorized relatives. Our system could enhance the quality of life of the patients and improve their self-autonomy. The experimentation, which was supervised by the ADACEA foundation, validates the achievement of these goalsThe accelerated growth of the percentage of elder people and persons with brain injury-related conditions and who are intellectually challenged are some of the main concerns of the developed countries. These persons often require special cares and even almost permanent overseers that help them to carry out diary tasks. With this issue in mind, we propose an automated schedule system which is deployed on a social robot. The robot keeps track of the tasks that the patient has to fulfill in a diary basis. When a task is triggered, the robot guides the patient through its completion. The system is also able to detect if the steps are being properly carried out or not, issuing alerts in that case. To do so, an ensemble of deep learning techniques is used. The schedule is customizable by the carers and authorized relatives. Our system could enhance the quality of life of the patients and improve their self-autonomy. The experimentation, which was supervised by the ADACEA foundation, validates the achievement of these goal

Selective production of Dihydroxyacetone and Glyceraldehyde by Photo-assisted Oxidation of Glycerol

Glycerol is a by-product during biodiesel production and represents a potential low-cost raw material for obtaining high-cost products like Dihydroxyacetone (DHA) and glyceraldehyde (GCD) amongst others. In this work, Fe-Pillared clay (Fe-PILC) was assessed as catalyst of the selective photo-oxidation of glycerol to obtain DHA and GCD at moderate conditions (298 K and atmospheric pressure). This was conducted in a 100 mL Pyrex glass batch reactor where a Pen-Ray lamp of mercury of 5.5 Watts UV light (UVP) was placed at the centre. The Fe-PILC was prepared by ion exchange. The pillaring was confirmed by XRD, and a 17% w/w of Fe was determined by Atomic Absorption Spectroscopy. The active phases were established by XPS and found to be FeO and Fe3O4. The specific surface area of the clay (bentonite), determined by N2 physisorption, increased from 34 m2/g to 227 m2/g and the pore volume increased from 0.058 cm3/g to 0.106 cm3/g. The studied variables were catalyst loading and glycerol initial concentration. An experiment with TiO2 Degussa P25 was also performed as reference. It was found that by adding Fe-PILC to the glycerol oxidation system, selectivity towards DHA or GCD can be tuned. A selectivity towards DHA was found to be 87% with 0.1 g/L of Fe-Pillared after 8 h reaction. The in situ production ofH2O2 was observed and therefore concluded that the glycerol oxidation occurs via a Fenton process, i.e. via free radicals.CONAYCT project 269093 UAEM project 437

Plan de Responsabilidad Social Empresarial Éticos Serrano Gómez Ltda.

Link para visualizar el video de contextualización de la empresa Éticos Serrano Gomez Ltda. https://youtu.be/1cK9FhmsPdgEl Plan de Responsabilidad Social Empresarial de Éticos Serrano Gómez Ltda., que se presenta en este trabajo está contemplado en una cadena de procedimientos y acciones en las cuales la organización sea responsable y amigable con los servicios y productos que ofrece en el ámbito económico, social y ambiental, dando a conocer los objetivos y las estrategias planteadas de cada una de las partes involucradas en el proceso. La forma en que se desarrolla la empresa Éticos Serrano Gómez Ltda., es generando mecanismos colectivos para accionar y mejorar la calidad de vida de sus empleados a través del compromiso propio con la sociedad que apunte a un mundo sostenible y solidario para que las generaciones futuras sigan el camino.The Corporate Social Responsibility Plan of Eticos Serrano Gómez Ltda., that is presented in this work is contemplated in a chain of procedures and actions in which the organization is responsible and friendly with the services and products that it offers in the economic, social and environmental field, making known the objectives and strategies proposed of each of the parties involved in the process. The way in which the company Eticos Serrano Gómez Ltda., is developed is generating collective mechanisms to drive and improve the quality of life of its employees through its own commitment to society that points to a sustainable and supportive world so that future generations follow the path

Paracetamol mineralization by Photo Fenton process catalyzed by a Cu/Fe- PILC under circumneutral pH conditions

This study presents an iron-pillared clay (Fe-PILC) ion-exchanged with copper (Cu/Fe-PILC), as an efficient catalyst to conduct the mineralization of paracetamol through photo-Fenton process at near to neutral pH without precipitation of Fe complexes and without adding any chemicals to modify the initial pH. The specific surface area of the catalyst was of 110m2 g−1 and with the following phases FeO, Fe3O4, Cu2O, CuO determined by XPS analyses. Around 80% of mineralization was reached either by conducting the process at acidic and circumneutral pH conditions, and the efficiency was not significantly higher at pH=2.7. The intermediate reaction products generated at both pH conditions essayed and detected by LC–MS were hydroquinone, acetamide and oxamic acid. Catalyst Cu/Fe-PILC showed an iron leaching of about 3% after reaction while the reusability of the catalyst involved a decrease in mineralization of only 3% under circumneutral conditions. The final TOC of about 20% can be ascribed to the presence of acetamide that was found to be the most reluctant towards oxidation.CONACYT 269093 PRODEP (511-6/178590) CONACYT (Estancia sabática) 26614

COVID-19 testing, infection, and vaccination among deported Mexican migrants: Results from a survey on the Mexico-U.S. border

BackgroundMigrants detained and held in immigration and other detention settings in the U.S. have faced increased risk of COVID-19 infection, but data on this population is scarce. This study sought to estimate rates of COVID-19 testing, infection, care seeking, and vaccination among Mexican migrants detained by U.S. immigration authorities and forcibly returned to Mexico.MethodsWe conducted a cross-sectional probability survey of Mexican migrants deported from the U.S. to three Mexican border cities: Tijuana, Ciudad Juárez, and Matamoros (N = 306). Deported migrants were recruited at Mexican migration facilities after being processed and cleared for departure. A two-stage sampling strategy was used. Within each city, a selection of days and shifts were selected during the operating hours of these deportation facilities. The probability of selection was proportional to the volume of migrants deported on each day of the month and during each time period. During the selected survey shifts, migrants were consecutively approached, screened for eligibility, and invited to participate in the survey. Survey measures included self-reported history of COVID-19 testing, infection, care seeking, vaccination, intentions to vaccinate, and other prevention and risk factors. Weighted data were used to estimate population-level prevalence rates. Bivariate tests and adjusted logistic regression models were estimated to identify associations between these COVID-19 outcomes and demographic, migration, and contextual factors.ResultsAbout 84.1% of migrants were tested for COVID-19, close to a third were estimated to have been infected, and, among them, 63% had sought care for COVID-19. An estimated 70.1% had been vaccinated against COVID-19 and, among those not yet vaccinated, 32.5% intended to get vaccinated. Close to half (44.3%) of respondents had experienced crowdedness while in detention in the U.S. Socio-demographic (e.g. age, education, English fluency) and migration-related (e.g. type of detention facility and time in detention) variables were significantly associated with COVID-19 testing, infection, care seeking, and vaccination history. Age, English fluency, and length of detention were positively associated with testing and vaccination history, whereas detention in an immigration center and length of time living in the U.S. were negatively related to testing, infection, and vaccination history. Survey city and survey quarter also showed adjusted associations with testing, infection, and vaccination history, reflecting potential variations in access to services across geographic regions and over time as the pandemic unfolded.ConclusionThese findings are evidence of increased risk of COVID-19 infection, insufficient access to testing and treatment, and missed opportunities for vaccination among Mexican migrants detained in and deported from the U.S. Deportee receiving stations can be leveraged to reduce disparities in testing and vaccination for deported migrants. In addition, decarceration of migrants and other measures informed by public health principles must be implemented to reduce COVID-19 risk and increase access to prevention, diagnostic, and treatment services among this underserved population