It’s not All Shiny and Glamorous: Loneliness and Fear of Missing Out among Digital Nomads

The term ‘digital nomad’ has gained popularity to describe professionals who work remotely from different locations facilitated by using information and communication technology. This study explores the interaction between digital nomadism and loneliness, digital nomads’ coping mechanisms to fight loneliness (with a special focus on social media use), as well as the phenomenon of fear of missing out (FoMO). Digital nomads who often experience isolation may turn to the use of Facebook, WhatsApp, and Instagram to keep in contact with family and friends and other social media like Facebook groups, Slack, and MeetUp to meet new people. However, intensive use of social media can generate FoMO. By using 15 in-depth interviews, this paper aims to explore loneliness and FoMO as issues that might negatively intersect with digital nomads’ wellbeing, thus spotlighting some of the hidden dark sides of digital nomadism that go too often unnoticed

Live migration of virtual machine and container based mobile core network components: A comprehensive study

With the increasing demand for openness, flexibility, and monetization, the Network Function Virtualization (NFV) of mobile network functions has become the embracing factor for most mobile network operators. Early reported field deployments of virtualized Evolved Packet Core (EPC) - the core network (CN) component of 4G LTE and 5G non-standalone mobile networks - reflect this growing trend. To best meet the requirements of power management, load balancing, and fault tolerance in the cloud environment, the need for live migration of these virtualized components cannot be shunned. Virtualization platforms of interest include both Virtual Machines (VMs) and Containers, with the latter option offering more lightweight characteristics. This paper's first contribution is the proposal of a framework that enables migration of containerised virtual EPC components using an open-source migration solution which does not fully support the mobile network protocol stack yet. The second contribution is an experimental-based comprehensive analysis of live migration in two virtualization technologies - VM and Container - with the additional scrutinization on the container migration approach. The presented experimental comparison accounts for several system parameters and configurations: flavor (image) size, network characteristics, processor hardware architecture model, and the CPU load of the backhaul network components. The comparison reveals that the live migration completion time and also the end-user service interruption time of the virtualized EPC components is reduced approximately by 70% in the container platform when using the proposed framework.This work was supported in part by the NSF under Grant CNS-1405405, Grant CNS-1409849, Grant ACI-1541461, and Grant CNS-1531039T; and in part by the EU Commission through the 5GROWTH Project under Grant 856709

Construcción e implementación de un tablero didáctico del sistema de cuerpo de mariposa motorizado (TAC) y de posicionamiento (TPS), para la Escuela de Ingeniería Automotriz

El presente trabajo de Construcción e Implementación del Sistema de Cuerpo de Mariposa Motorizado (TAC) y de Posicionamiento TPS es sustentado en conocimientos adquiridos en las aulas de la Escuela de Ingeniería Automotriz de la Facultad de Mecánica, tiene por objetivo reforzar el conocimiento de los estudiantes en el sistema de aceleración electrónica. El tablero didáctico contiene los elementos que conformar el sistema de cuerpo de mariposa motorizado, además de un software generador de fallas que nos permite observar las posibles averías que se pueden presentar en los componentes del sistema. La interfaz realiza la comunicación entre la PC y el tablero mediante el programa Labview y la tarjeta de adquisición de datos (DAQ), cortando señales de entrada y salida en los diferentes sensores que integran el sistema para poder provocar fallas en el mismo. El software posee una ayuda la cual se refiere a la verificación del sistema mediante códigos de fallas que se vayan generando en el programa. A través del proyecto se aporta de manera favorable a la formación de futuros ingenieros automotrices competitivos en el área de sistemas electrónicos, manteniendo así la alta calidad de profesionales que debe brindar la Escuela Superior Politécnica de Chimborazo. Se recomienda que el uso del trabajo sea exclusivo de los estudiantes de Ingeniería Automotriz, ya que se necesitan conocimientos de sistemas electrónicos automotrices para poder entender y analizar debidamente el tablero didáctico.This work of construction and implementation of the System of Motorized Butterfly Corps (TAC) and Positioning TPS is supported by knowledge acquired in the classrooms of the School of Automotive Engineering, Faculty of Mechanical, aims to enhance the knowledge of students in the electronic throttle system. The teaching board contains the elements forming the system of motorized butterfly body, and generator software faults allows us to observe possible failures that can occur in the system components. The interface makes communication between the PC and the board by the Labview program and the data acquisition board (DAQ), cutting input and output signals at different sensors that make up the system to cause faults in it. The software has a help which refers to the verification of the system by fault codes that are generated in the program. Through the project contributes favorably to the training of future competitive automotive engineers in the area of electronics systems, thus maintaining the high quality of professionals who should provide the Polytechnic School of Chimborazo. It is recommended that the use of the work is exclusive Automotive Engineering students, since knowledge is required automotive electronic systems to properly understand and analyze the educational board

To each his own: no evidence of gyrodactylid parasite host switches from invasive poeciliid fishes to Goodea atripinnis, the most dominant endemic freshwater goodeid fish in the Mexican Highlands

Background: Goodeid topminnows are live-bearing fishes endemic to the Mexican Highlands (Mesa Central, MC). Unfortunately, in the MC, environmental degradation and introduced species have pushed several goodeid species to the brink of extinction. Invasive fishes can introduce exotic parasites, and the most abundant goodeid, blackfin goodea Goodea atripinnis Jordan, is parasitised by six exotic helminths. Poeciliids are widely dispersed invasive fishes, which exert negative ecological effects on goodeids. Poeciliids host several species of the monogenean genus Gyrodactylus von Nordmann, 1832, including pathogenic, invasive parasites. Here, we looked for evidence of Gyrodactylus species switching hosts from poeciliids to goodeids.  Methods: Fish were collected in rivers draining the MC into both sides of the continental divide. Hosts were screened for gyrodactylid parasites in localities where G. atripinnis and poeciliids occurred sympatrically. Gyrodactylus specimens were characterised morphologically (attachment apparatus) and molecularly (internal transcribed spacer region, ITS). A Bayesian phylogenetic tree using ITS sequences established relationships between gyrodactylids collected from goodeid fishes and those from parasites infecting poeciliids.  Results: Gyrodactylids were collected from G. atripinnis in six localities on both sides of the watershed where exotic poeciliids occurred sympatrically. Morphological and molecular analyses indicated the presence of four undescribed species of Gyrodactylus infecting this goodeid host. Gyrodactylus tomahuac n. sp., the most abundant and geographically widespread species, is described here. The other three Gyrodactylus spp. are not described, but their ITS sequences are used as molecular data presented here, are the only available for gyrodactylids infecting goodeid fishes. Morphological and molecular data suggest that two distinct groups of gyrodactylids infect goodeids, one of which shares a common ancestor with gyrodactylids parasitizing poeciliids.  Conclusions: No evidence was found of gyrodactylids switching hosts from invasive poeciliids to endemic goodeids, nor vice versa. Moreover, considering that G. atripinnis is known to host both Gyrodactylus lamothei Mendoza-Palmero, Sereno-Uribe & Salgado-Maldonado, 2009 and Gyrodactylus mexicanus Mendoza-Palmero, Sereno-Uribe & Salgado-Maldonado, 2009, with the addition of G. tomahuac n. sp. and the three undescribed Gyrodactylus spp. reported, at least six gyrodactylids may infect this host. This would make monogeneans the second most abundant parasite group infecting G. atripinnis, which to date is known to harbour 22 helminth species: nine digeneans, five nematodes, four cestodes, three monogeneans and one acanthocephalan

Situación económica de la producción de limón mexicano (citrus aurantifolia swingle) en los estados de Oaxaca y Guerrero, México

El presente trabajo de investigación es parte del "Estudio de Competitividad del Limón Mexicano (Citrus aurantifolia Swingle) de la República Mexicana", específicamente de la parte denominada "De la Rentabilidad del Limón Mexicano (Citrus aurantifolia Swingle) en México"; en donde se determina los niveles de rentabilidad privada de los sistemas de producción de limón mexicano con el propósito de conocer la estructura de costos e ingresos de las unidades de producción así como su análisis de ingreso en los estados de Oaxaca y Guerrero, en donde se identificaron cuatro niveles tecnológicos de producción dentro de los cuales se encuentran los sistemas de riego por microaspersión, riego por bombeo, riego por gravedad y la de temporal. Los resultados muestran un importante efecto económico en las regiones analizadas y se determinan los niveles de para esta actividad agrícola por superficie cosechada y entidad federativa

comercialización de productos derivados del limón mexicano (Citrus aurantifolia swingle)

El presente estudio analiza la estructura productiva y rentabilidad de las empresas extractoras de derivados del limón mexicano ( ) en México, mediante la generación de indicadores cuantitativos. Se calcularon los márgenes de comercialización de los diferentes productos elaborados por la industria; asimismo, se estudió la rentabilidad de la misma. El estudio está referido al análisis de 12 industrias procesadoras de subproductos derivados de limón mexicano, tres ubicadas en el estado de Colima, cinco en Michoacán, tres en Oaxaca y una en el estado de Guerrero. Los resultados mostraron que los derivados industriales del limón presentan en general márgenes de comercialización positivos a precios corrientes, excepto la cáscara fresca y deshidratada, las cuales debido al bajo precio de venta que alcanzan en el mercado, registran márgenes negativos. Por su parte, los principales agentes que comercializan dichos productos derivados son empresas nacionales e internacionales y brokers, teniendo como principal destino el mercado internacional, el cual representa más del 70 %

Točna 3D rekonstrukcija zasnovana na rotirajućoj platformi i telecentričnoj viziji

This paper presents a camera+telecentric lens that is able to obtain 3D information. We designed and implemented a method which can register and integrate 3D information captured from different viewpoints to build a complete 3D object model. First, a geometric model of a camera+telecentric lens is established. Then a calibration process using a planar checkerboard is developed and implemented. The object is placed on a rotation stage in front of a stationary camera. Normally the rotation axis is considered to be aligned with camera frame. In the description presented in this paper, the rotation matrix and translation vector of the rotation axis are calibrated. At the same time, a three-dimensional reconstruction system based on contour extraction of objects with dimensions less than 50 mm in diameter is developed. Finally, an analysis of the uncertainty model parameters and performance reconstruction of 3D objects are discussed.Članak prestavlja sustav koji se sastoji od kamere i telecentrične leće koji omogućavaju dobivanje 3D informacije o objektu. Dizajnirana je i implementirana metoda koja može registrirati i integrirati 3D informacije iz različitih točaka gledišta, kako bi se izgradio potpuni 3D model. Na početku, uspostavlja se geometrijski model kamere i telecentrične leće. Nakon toga koristi se razvijena metoda kalibracije zasnovana na šahovskoj ploči te se objekt postavlja na rotirajuću platformu ispred stacionarne kamere. Također, pretpostavlja se da je os rotacije poravnta s koordinantim sustavom kamere. U ovome članku kalibriraju se rotacijska matrica i translacijski vektor rotacijske osi. Razvijen je i sustav 3D rekonstrukcija zasnovan na izlučivanju kontura objekta dimenzija manjih od 50 mm u promjeru. Na kraju, provedena je i analiza nesigurnosti parametara modela kao i točnost rekonstrukcije 3D modela

Classification-biased apparent brain age for the prediction of Alzheimer's disease

Machine Learning methods are often adopted to infer useful biomarkers for the early diagnosis of many neurodegenerative diseases and, in general, of neuroanatomical ageing. Some of these methods estimate the subject age from morphological brain data, which is then indicated as “brain age”. The difference between such a predicted brain age and the actual chronological age of a subject can be used as an indication of a pathological deviation from normal brain ageing. An important use of the brain age model as biomarker is the prediction of Alzheimer's disease (AD) from structural Magnetic Resonance Imaging (MRI). Many different machine learning approaches have been applied to this specific predictive task, some of which have achieved high accuracy at the expense of the descriptiveness of the model. This work investigates an appropriate combination of data science techniques and linear models to provide, at the same time, high accuracy and good descriptiveness. The proposed method is based on a data workflow that include typical data science methods, such as outliers detection, feature selection, linear regression, and logistic regression. In particular, a novel inductive bias is introduced in the regression model, which is aimed at improving the accuracy and the specificity of the classification task. The method is compared to other machine learning approaches for AD classification based on morphological brain data with and without the use of the brain age, including Support Vector Machines and Deep Neural Networks. This study adopts brain MRI scans of 1, 901 subjects which have been acquired from three repositories (ADNI, AIBL, and IXI). A predictive model based only on the proposed apparent brain age and the chronological age has an accuracy of 88% and 92%, respectively, for male and female subjects, in a repeated cross-validation analysis, thus achieving a comparable or superior performance than state of the art machine learning methods. The advantage of the proposed method is that it maintains the morphological semantics of the input space throughout the regression and classification tasks. The accurate predictive model is also highly descriptive and can be used to generate potentially useful insights on the predictions

Conceptual proposal of the landscape as an environmental indicator for the spatial and temporal study of the territory

Objective: To propose the landscape as an environmental indicator that describes, analyzes and spatially and temporarily evaluates a territory, through changes in natural, social, economic and cultural components. Approach: Different methodological concepts of the landscape and environmental indicator were reviewed, as well as their characteristics to describe and evaluate the environment. Results: It was found that the landscape is a comprehensive analysis method for the study of the environment, by selecting the parameters that describe and represent each landscape, through shape, size, colors, textures, shadows, patterns, situations, associated features and structures arranged under a spatial and temporal order, which when perceived by man, present a certain form of organization or disorganization in the environment. Implications: The environmental indicator allows analyzing and evaluating changes in space and time, with updated qualitative and quantitative research, these changes play an important role in building the perception of environmental problems through the landscape. Conclusions: The landscape is an integral component that describes the biotic and abiotic elements that make up a space. While, as an environmental indicator, it analyzes and evaluates the change in the composition and configuration of the environment spatially and temporally.Objective: To propose the landscape as an environmental indicator that spatially and temporally, describes, analyzes, and evaluates territory, by changing some natural, social, economic, and cultural components. Approach: Different methodological concepts of the landscape and environmental indicators were reviewed, as well as their characteristics to describe and evaluate the environment. Results: It was found that the landscape is a comprehensive analysis method for the study of the environment, by selecting the parameters that describe and represent each landscape, through shapes, size, colors, textures, shadows, patterns, situations, associated features, and structures arranged under a spatial and temporal order which, when perceived by humans, present a given form of organization or disorganization in the environment. Implications: The environmental indicator allows to analyze and evaluate the changes in space and time, with updated qualitative and quantitative research. These changes play an important role in building the perception of environmental problems through the landscape. Conclusion: Landscape is an integral component that describes the biotic and abiotic elements of a given space. While, as an environmental indicator, it analyzes and evaluates changes in the composition and configuration of the environment, both spatially and temporally

Métodos de clasificación: Análisis de fertilidad

El presente artículo muestra los resultados obtenidos en un estudio de fertilidad realizado a 100 voluntarios del sexo masculino que otorgaron una muestra de semen para su estudio, esta información fue tomada de una Base de datos multivariada del repositorio UCI, posteriormente se realizó el análisis de esta información con el software WEKA, en el cual se emplearon diferentes algoritmos de clasificación como lo son: BayesianLogisticRegression, MultilayerPerceptron, ClassificationViaRegression, KStar, REPTree, con la finalidad de determinar cuál de ellos resulta ser más efectivo de acuerdo a criterios como los tiempos de clasificación y la efectividad de los mismos.Palabra(s) Clave(s): BayesianLogisticRegression, ClassificationViaRegression, KStar MultilayerPerceptron, REPTree