El paradigma de la Inteligencia Artificial al servicio del talento y la equidad

The observations made from research at the University of Cambridge are taken as a starting point to refute their appreciation of the negative nature that the development of AI can have as an applicable technology for talent management in personnel selection. The experiments carried out apparently focused from the field of behavior analysis and facial patterns, leaving little explanation about the incidence of competencies and their importance in selection processes. It is then argued, on the needs of organizations, the characterization of charges and roles by competencies and the relevance of emerging technologies such as AI to optimize management processes in business strategies, taking into account accepted theories both in the management of talent as in the technological field and visualizing the need for this emerging technology to provide solutions to needs, punctually observed in organizations, for their recruitment, selection and incorporation processes, among others related to the talent area. In the same perspective, a reflective point of view is offered on the incidence of human perceptions (social biases) on job opportunities and scaling of organizations, on their competitiveness and differentiation in a new normality.Se toma como punto de partida las observaciones realizadas desde investigaciones de la Universidad de Cambridge para refutar su apreciación sobre el carácter negativo que puede tener el desarrollo de la IA como tecnología aplicable para la gestión de talento en la selección de personal.  Los experimentos realizados aparentemente se enfocaron desde el campo del análisis de comportamiento y patrones faciales, dejando poca explicación sobre la incidencia de las competencias y su importancia en los procesos de selección.  Se argumenta entonces, sobre las necesidades de las organizaciones, la caracterización de cargos y roles por competencias y la relevancia de tecnologías emergentes como la IA para optimizar los procesos de gestión en las estrategias de las empresas, teniendo presente teorías aceptadas tanto en la gestión de talento como en el campo tecnológico y visualizando la necesidad de esta tecnología emergente para brindar soluciones a necesidades, puntualmente observadas en las organizaciones, para sus procesos de reclutamiento, selección e incorporación, entre otros relacionados con el área de talento.  En la misma perspectiva, se brinda un punto de vista reflexivo sobre la incidencia de las percepciones humanas (sesgos sociales) sobre las oportunidades laborales y escalamiento de las organizaciones, en su competitividad y diferenciación en una nueva normalidad

PBL in Programming Subjects at Engineering

This paper presents the PBL learning methodology applied to the subject of Programming in Engineering. We show two different perspectives, teacher and student. First, the point of view of the teacher considers the design of the project, and secondly student that considers its implementation

Factores asociados a la competitividad de las empresas del sector de la yuca industrial en San Pedro, Sucre

  In this study, the case of two companies producing industrial cassava in the municipality of San Pedro (Sucre, Colombia) is presented, from which internal and external factors that lead to their competitiveness were identified under the value chain approach. As a result, it was determined that the factors: managerial capacity, organizational capacity, price, human capital, technology and innovation and linkages constitute the internal factors that lead to competitiveness. While regional infrastructure, public policies and geographic location are the external factors that strongly affect the competitiveness of the industrial cassava value chain.El estudio en profundidad del sector es una forma de explorar los factores asociados a la competitividad desde el análisis de la cadena de valor del subsector de la yuca industrial en el municipio de San Pedro (Sucre, Colombia), en la cual se presenta el estudio de caso de dos empresas productoras de yuca industrial del municipio; a partir de ellas se identificaron los factores internos y externos asociados a la competitividad bajo el enfoque de cadenas de valor. Por medio de la revisión literaria, observación directa, entrevistas y aplicación de una encuesta, se emplea la recolección, apropiación e interpretación de la información obtenida, se determina que los factores: capacidad directiva, capacidad organizacional, precio, capital humano, tecnología e innovación y encadenamientos constituyen los factores internos asociados a la competitividad; por su parte, la infraestructura regional, políticas públicas y localización geográfica constituyen los factores externos que afectan directa e indirectamente a la competitividad de la cadena de valor de la yuca industrial, por lo que al final se plantean recomendaciones para una estrategia de competitividad en el subsector de la yuca industrial

Software architecture for customized physical exercise prescription

En la actualidad existe una gran cantidad de aplicaciones para la realización de ejercicio físico. En este artículo se presenta una arquitectura software para una aplicación que permite la prescripción de ejercicios físicos personalizados. Esta arquitectura incluye dos funcionalidades, la funcionalidad para el especialista que prescribe el ejercicio y la funcionalidad para el usuario que debe seguir esta prescripción. La interacción entre el especialista y el usuario se realiza mediante el envío de eventos. Especialistas (médicos/fisioterapeutas/educadores físicos) pueden indicar los ejercicios adecuados en cada caso. Esta aplicación permitirá a los usuarios con demanda de atención personalizada mejorar la condición física y la calidad de vida. Los usuarios podrán realizar el ejercicio físico de forma autónoma, sin tener que realizar desplazamientos y en un horario flexible.Currently there is a lot of available applications to do physical exercise. This article describes the software architecture for an application that allows customized exercise prescription. This architecture includes two functionalities, the functionality that allows specialists to prescribe physical exercises and the functionality for users who must follow this prescription. Interactions between specialists and users are allowed by means of sending events. Specialists (doctors, physiotherapists and physical educators) can indicate appropriate exercises in each case. This application will allow users with demand for personalized attention to improve their fitness and quality of life. Users can perform physical exercise autonomously, without having to travel and in a flexible schedule

Improvements of Fire Fuels Attributes Maps by Integrating Field Inventories, Low Density ALS, and Satellite Data in Complex Mediterranean Forests

One of the most determining factors in forest fire behaviour is to characterize forest fuel attributes. We investigated a complex Mediterranean forest type—mountainous Abies pinsapo–Pinus–Quercus–Juniperus with distinct structures, such as broadleaf and needleleaf forests—to integrate field data, low density Airborne Laser Scanning (ALS), and multispectral satellite data for estimating forest fuel attributes. The three-step procedure consisted of: (i) estimating three key forest fuel attributes (biomass, structural complexity and hygroscopicity), (ii) proposing a synthetic index that encompasses the three attributes to quantify the potential capacity for fire propagation, and (iii) generating a cartograph of potential propagation capacity. Our main findings showed that Biomass–ALS calibration models performed well for Abies pinsapo (R2 = 0.69), Juniperus spp. (R2 = 0.70), Pinus halepensis (R2 = 0.59), Pinus spp. mixed (R2 = 0.80), and Pinus spp.–Juniperus spp. (R2 = 0.59) forests. The highest values of biomass were obtained for Pinus halepensis forests (190.43 Mg ha−1). The structural complexity of forest fuels was assessed by calculating the LiDAR Height Diversity Index (LHDI) with regard to the distribution and vertical diversity of the vegetation with the highest values of LHDI, which corresponded to Pinus spp.–evergreen (2.56), Quercus suber (2.54), and Pinus mixed (2.49) forests, with the minimum being obtained for Juniperus (1.37) and shrubs (1.11). High values of the Fuel Desiccation Index (IDM) were obtained for those areas dominated by shrubs (−396.71). Potential Behaviour Biomass Index (ICB) values were high or very high for 11.86% of the area and low or very low for 77.07%. The Potential Behaviour Structural Complexity Index (ICE) was high or very high for 37.23% of the area, and low or very low for 46.35%, and the Potential Behaviour Fuel Desiccation Index (ICD) was opposite to the ICB and ICE, with high or very high values for areas with low biomass and low structural complexity. Potential Fire Behaviour Index (ICP) values were high or very high for 38.25% of the area, and low or very low values for 45.96%. High or very high values of ICP were related to Pinus halepensis and Pinus pinaster forests. Remote sensing has been applied to improve fuel attribute characterisation and cartography, highlighting the utility of integrating multispectral and ALS data to estimate those attributes that are more closely related to the spatial organisation of vegetation

Computer labs on virtual environments: A flexible, portable and multidisciplinary model

Teaching of computer-aided practical subjects in engineering education creates new challenges. Computers have to be configured to support particular requirements of each subject. Virtual Environments allows the building of a Virtual Machine (VM) tailored to requirements of each subject, allowing flexible, versatile and low cost laboratories. However, the use of multiple VM at a shared computing facility creates new problems, both technical and related to the performance of the class sessions. To solve these challenges, we have developed the Virtual Machine on-Demand (VMoD) tool. It automates the adaptation of each VM to the environment in which it is deployed and simplifies its use to students. As a result, the creation of computer-aided engineering laboratories on a shared computing facility using VM is possible and profitable

Implementación de servidor de administración de servicios de red en GNU/LINUX Zentyal Server 6.2

El presente trabajo tiene como objetivo formular soluciones bajo GNU/Linux a través de la instalación, configuración y puesta en marcha de infraestructura tecnológica que permita dar respuesta a los requerimientos específicos del cliente. A través del sistema operativo Zentyal Server 6.2 bajo el cual se implementaran los servicios y plataformas como, DHCP Server, DNS Server y Controlador de Dominio, Proxy, Cortafuegos, File Server y Print Server, VPN.The objective of this paper is to formulate solutions under GNU / Linux through the installation, configuration, and start-up of technological infrastructure that allows responding to the specific requirements of the client. Through the Zentyal Server 6.2 operating system under which services and platforms such as DHCP Server, DNS Server, and Domain Controller, Proxy, Firewall, File Server and Print Server, VPN will be implemented

A new nanomedicine platform to deliver a carnitine palmitoyl-transferase 1 (CPT1) inhibitor into glioma cells and neurons

Obesity and glioblastoma multiforme (GB) are two unmet medical needs where effective therapies are lacking. Carnitine palmitoyl transferase 1 (CPT1), an enzyme catalyzing the rate-lim- iting step in fatty acid oxidation (FAO), is a viable target for both diseases. C75, a fatty acid synthase (FAS) inhibitor, forms an adduct with coenzyme A (CoA) to form C75-CoA, which is a strong com- petitive inhibitor to CPT1 that is selective in its target. However, it is polar and charged, having low cell membrane permeability, and therefore needing a delivery system for intracellular transport. (±)-C75-CoA and its enantio-separated forms (+)- and (−)-C75-CoA were used to form poly-ion com- plex (PIC) micelles with the cationic block co-polymer PEG-PAsp(DET). The drug and polymer were mixed in a 1:1 anion/cation ratio to give 50-70 nm micelles with a unimodal size profile and narrow polydispersity. Size was maintained upon introduction of physiological saline. Micellar (±)-, (+)-, and (−)-C75-CoA were all significantly more cytotoxic compared to the respective free drugs in U87MG. We examined whether C75-CoA inhibits FAO by measuring ATP concentrations in U87MG and GT1-7. ATP generation was found to be hampered after adding C75-CoA in both cell types, with micelle-treated cells producing significantly lower ATP than those treated with free drug, suggesting that the effective intracellular delivery of C75-CoA leads to a more pronounced FAO inhibition. A fluorescent CoA derivative, Fluor-CoA, also yielded monodisperse micelles sim- ilar to C75-CoA. Micellar internalization was significantly greater than that of the free dye. Uptake of both increased with time, with this effect is more pronounced in U87MG than GT1-7. The %Fluor- CoA+ cells were also expressively higher for the micelle across cell lines. From this data, it can be convincingly concluded that neuronal and glioma cellular uptake of micelles is superior to that of the free dye, validating the need for cellular delivery systems for anionic, CoA-type molecules. The micellar form neutralized the negative charge of the cargo, promoting transport into the cell. These outcomes strongly support the effectiveness of using a PIC micelle-type system to deliver anionic small molecules into glioma cells and neurons meant to inhibit enzymes such as CPT1, for future applications in diseases like obesity and cancer

Agronomic evaluation of corn (Zea mays L.) genotypes in the warm dry region of Chiapas, Mexico

Abstract: The objective of the present investigation was to evaluate the agronomic performance of experimental genotypes of maize in three agro-ecological environments of the Centro de Chiapas region. During the spring summer 2016 agricultural cycle, six maize genotypes were evaluated in a randomized block design with four replications. The genotypes showed significant differences (P <0.05) for grain yield, plant height, ear length and number of rows; the interaction genotype by environment was not significant. The XT-5627 and XT-5610 genotypes showed greater stability and the first showed higher yield. The high yields were obtained in the Francisco Villa, Villaflores environment, of the Frailesca region, Chiapas. Objective: The objective of this research was to evaluate the agronomic behavior of experimental maize genotypes in three contrasting environments of the Central region of Chiapas. Design/methodology/approach: The experiments were established during the spring-summer 2016 agricultural cycle in the towns of Francisco Villa, Villaflores (730 m); San Luis, Suchiapa (600 m) and in Ocozocoautla (800 m), located in the Central region of the state of Chiapas. In the three sites, the climate is warm subhumid with rains in summer and presence of intra-festival drought during the second half of July and the first half of August.  Genetic material. The experimental genotypes were evaluated: XT-5614, XT-3402, XT-5610, XT-5612, XT-5627 and the BG7415W genotype of the Biogene company, which is used in commercial crops in the Center of Chiapas. All genotypes showed viability greater than 90%. The genotypes were distributed in the three experimental sites, which were used for seeding in a randomized complete block experimental design with four replications. The experimental unit consisted of four rows of 5 m in length each and 0.8 m apart, while the useful plot was formed by the two central rows. Variables evaluated. Days to male flowering (DFM), days to female flowering (DFF), plant height (AP), ear height (AM), ear length (LM), ear diameter (DM), rows per ear (HM) , grains per row and grain yield (REND) at 14% moisture. A combined analysis of variance (ANOVA) was carried out and the model of additive main effects and multiplicative interaction (AMMI) was used for the evaluation of the genotype x environment interaction (IGA). The analysis of variance was solved with the SAS system (SAS, 2000) while the GEA-R program was used for the AMMI model (Pacheco et al., 2015). Results: The combined analysis of variance detected differences between genotypes (G) for most of the variables except in grains per row and days to male and female flowering; Between environments (A) there were significant differences for all variables, for the environment genotype interaction (IGA), there were only significant differences for the number of rows per ear (Table 1). The values of the coefficient of variation (CV) were from 1.26 (DFF) to 10% (REND), which indicates an acceptable control (<20%) of the experimental variability. The results show a genetic variation between the evaluated genotypes, which allows selecting the most outstanding ones. The evaluation environments represent the agroecological conditions, where maize is grown in the Central region of Chiapas and because they are contrasting, they showed differential effects and this condition is necessary in the evaluation of germplasm in the process of genetic improvement (Córdoba, 1991). Limitations on study/implications: With regard to ear height, the values are acceptable as short plants favor ear rot in hot climates, when there is excess weeds before harvest. The flowering of the genotypes is considered acceptable and they were earlier (55 days) in the Suchiapa site, probably due to the high temperatures of this locality and, in addition, there was the presence of intra-festival drought, compared to the other two experimental sites. The asynchrony between male and female flowering in all genotypes was not significant. Findings/conclusions: Among the genotypes, there were significant differences for grain yield, plant height, ear height, ear length, and number of rows; the genotype-by-environment interaction was not significant. The XT 5627 and XT 5610 genotypes showed higher stability and the former showed higher grain yield. The high yields were presented in the environment of Francisco Villa, Villaflores, of the Frailesca region, Chiapas.Objective. To evaluate the agronomic behavior of corn (Zea mays L.) experimental genotypes in three contrasting environments in the Central region of Chiapas, Mexico. Design / methodology / approach. The experiments took place during the 2016 spring-summer agricultural cycle at Francisco Villa, Villaflores (730 m); San Luis, Suchiapa (600 m) and Ocozocoautla (800 m), at the Central region in the state of Chiapas, Mexico. At the three assessed sites, the climate is warm subhumid with rains in summer and intra-stival drought during the second half of July and the first half of August. The genotypes XT-5614, XT-3402, XT-5610, XT-5612, XT-5627, and BG7415W from the Biogene Company were evaluated, which are used in commercial crops at the Center of Chiapas. All genotypes showed viability greater than 90%. Three experimental sites were evaluated, in a randomized complete block design with four replications. The experimental unit consisted of four 5 m long rows 0.8 m apart. The useful plot was formed by two central furrows. The evaluated variables were: days to male flowering (DMF), days to female flowering (DFF), plant height (PH), cob height (CH), cob length (CL), cob diameter (CD), rows per cob (RC), grains per row and grain yield (YLD) at 14% moisture. These were analyzed with an analysis of variance (ANOVA) and for the genotype x environment interaction (GEI) the additive main effects and multiplicative interaction model (AMMI) were used, with the SAS statistical software and the GEA-R software. Results: The combined analysis of variance detected differences between genotypes (G) for most of the variables except in grains per row. and days to male and female flowering; there were significant differences between environments (A) for all variables, while for the GEI, there were significant differences for the number of rows per cob. The CV was 1.26 (DFF) at 10% (YLD), which indicates an acceptable control (<20%) of the experimental variability. The results indicated genetic variation between evaluated genotypes, which allows the selection of the most outstanding ones. The evaluation environments showed differential effects and this condition is necessary for the evaluation of germplasm for a genetic improvement process. Study limitations/implications: Cob height registered acceptable values given that short plants favor rotting in hot climates when weeds are present before harvest. The flowering of the genotypes was considered acceptable and was earlier (55 d) at the Suchiapa site. Findings/conclusions: Among the assessed genotypes there were significant differences for grain yield, plant height, cob height, cob length and the number of rows; the genotype-by-environment interaction was not significant. The XT 5627 and XT 5610 genotypes showed higher stability, and the former showed higher grain yield. The highest yields were recorded in the environment from Francisco Villa, Villaflores, at the Frailesca region, Chiapas