Diplomado de profundización CISCO CCNP - Solución de dos escenarios presentes en entornos corporativos bajo el uso de la tecnología CISCO

En este documento se evidencia la prueba de habilidades, conocimientos y temas aprendidos en el área de Redes y Networking para CISCO Routing y Switching de los módulos de CCNA y el Diplomado de profundización de cisco CCNP, a su vez realizando la aplicación práctica de estos, en programas de simulación lógica diseñados para este fin. Su principal objetivo, es medir los conocimientos y capacidad de aplicación de los conceptos aprendidos en esta rama de la Electrónica por el estudiante, aplicando sus conocimientos aprendidos a lo largo del desarrollo de los diversos modulo del Diplomado Cisco CCNP. Para el desarrollo de los escenarios propuestos se utilizó el programa GNS3 para y packet tracer respectivamente.This document shows the proof of skills, knowledge and topics learned in the area of Networks and Networking for CISCO Routing and Switching of the CCNA modules and the Cisco CCNP Deepening Diploma, in turn carrying out the practical application of these, in logic simulation programs designed for this purpose. Its main objective is to measure the knowledge and ability to apply the concepts learned in this branch of Electronics by the student, applying their knowledge learned throughout the development of the various modules of the Cisco CCNP Diploma. For the development of the proposed scenarios, the GNS3 program was used for and packet tracer respectivel

Caracterización de la Línea 1 del Metro de Panamá

En este trabajo se propone una metodología para el manejo de los servicios parciales en la línea 1 del metro de Panamá. Para validar esta propuesta se presentan los resultados una serie de simulaciones que permiten caracterizar el modelo propuesto con esta metodología a nivel de ingeniería ferroviaria.En este trabajo se propone una metodología para el manejo de los servicios parciales en la línea 1 del metro de Panamá. Para validar esta propuesta se presentan los resultados una serie de simulaciones que permiten caracterizar el modelo propuesto con esta metodología a nivel de ingeniería ferroviaria

Métodos de la enseñanza del fútbol en escuelas de formación en Tunja, Boyacá

The present study issued from the academic activities carried out by the students of the degree program in Physical Education, Recreation and Sports of the University Foundation Juan de Castellanos in Tunja, Boyacá. The purpose of the study was to describe the methods of soccer education that are most used by coaches to instruct and train child athletes in the sports training schools in the city, during the training sessions held every week. The study involved twenty coaches who are members of sports clubs and sports training schools in soccer for child and youth categories. A methodology with a descriptive quantitative approach was implemented. The information was collected through a semi-structured survey, using a series of questions that were recorded in a file created for such purpose. The obtained data were processed with the Microsoft Excel 2016 program for its respective analysis. The results show that the coaches use and apply more, the method of mixed teaching, which is the combination of the analytical and global methods to impart the sports content of soccer.El presente estudio surgió de las actividades académicas llevadas a cabo por los estudiantes del programa de Licenciatura en Educación Física, Recreación y Deportes, de la Fundación Universitaria Juan de Castellanos en Tunja, Boyacá. El estudio tuvo como propósito describir los métodos de la enseñanza del fútbol que más utilizan los entrenadores para instruir niños deportistas en las escuelas de formación deportiva de la ciudad, durante las sesiones de entrenamiento que llevan a cabo cada semana. En el estudio participaron veinte entrenadores que pertenecen a clubes deportivos y escuelas de formación deportiva en fútbol de las categorías infantiles y juveniles. Se implementó una metodología con un enfoque cuantitativo de tipo descriptivo. La información fue recolectada a través de una entrevista semiestructurada, empleando una serie de preguntas que se consignaron en una ficha creada para tal fin. Los datos obtenidos fueron tratados con el programa Microsoft Excel 2016 para su respectivo análisis. Los resultados arrojados muestran que los entrenadores utilizan y aplican más el método de la enseñanza mixto, que es la combinación de los métodos analítico y global para impartir los contenidos deportivos del futbol

University digital transformation plan through the implementation of Digital Resources: The case of the Technological University of Panama

With the globalization and proliferation of COVID-19, new challenges have emerged in higher education regarding the use and integration of new technologies. In this context, the University is called upon to organize, distribute and design the best strategies to overcome the challenge of distance education in times of pandemic. This document proposes elements that support the implementation of a Digital Transformation Plan of the Panama Technological University. The digital resource platform developed for teachers and researchers to share with their students, digital resources such as: manuals, tools, videos, Webinars, podcasts and various experiences that contribute to the support of the teaching-learning process is presented. The structure of the platform is presented, as well as an evaluation by registered users.With the globalization and proliferation of COVID-19, new challenges have emerged in higher education regarding the use and integration of new technologies. In this context, the University is called upon to organize, distribute and design the best strategies to overcome the challenge of distance education in times of pandemic. This document proposes elements that support the implementation of a Digital Transformation Plan of the Panama Technological University. The digital resource platform developed for teachers and researchers to share with their students, digital resources such as: manuals, tools, videos, Webinars, podcasts and various experiences that contribute to the support of the teaching-learning process is presented. The structure of the platform is presented, as well as an evaluation by registered users

Implementación y configuración del sistema operativo NethServer

En este documento se puede encontrar la puesta a prueba de un servidor basado en Linux, implementando la distribución de NethServer, en el que se llevó a cabo una serie de pasos para la instalación de este servidor, que se ejecutó por medio de una herramienta de máquina virtual llamada VirtualBox. En donde se implementaron distintos servicios por temáticas como: DHCP Server, DNS Server y controlador de dominio, Proxy, Cortafuegos, File server y Print Server y VPN. Todo esto con el fin de ayudar a complementar y mejorar aspectos importantes de seguridad y gestión, además el acceso y control de internet que ayuden a crear una solución estable para el problemaIn this document you can find the testing a linux based server, implementing the distribution of NethServer, in which carried out a series of steps for the installation of this server, which was executed by means of a tool virtual machine called VirtualBox. where is implemented different services by subject such as: DHCP Server, DNS Server and Domain Controller, Proxy, Firewall, File server and Print Server and VPN. all this with in order to help complement and improve aspects security and management issues, as well as access and internet control that help create a stable solution for the problem

A Fuzzy Logic-Based Approach for Estimation of Dwelling Times of Panama Metro Stations

Passenger flow modeling and station dwelling time estimation are significant elements for railway mass transit planning, but system operators usually have limited information to model the passenger flow. In this paper, an artificial-intelligence technique known as fuzzy logic is applied for the estimation of the elements of the origin-destination matrix and the dwelling time of stations in a railway transport system. The fuzzy inference engine used in the algorithm is based in the principle of maximum entropy. The approach considers passengers’ preferences to assign a level of congestion in each car of the train in function of the properties of the station platforms. This approach is implemented to estimate the passenger flow and dwelling times of the recently opened Line 1 of the Panama Metro. The dwelling times obtained from the simulation are compared to real measurements to validate the approach.The authors of this paper want to express their gratitude to the National Secretary of Science and Technology (SENACYT) of the Government of the Republic of Panama for funding this study through the R & D project (MDEPRB09-001). Additionally, they want to thank the support received from Technological University of Panama (UTP), the University of Granada, the Fundación Carolina and the Secretaría del Metro de Panamá (SMP)

Proteomic fingerprint identification of Neotropical hard tick species (Acari: Ixodidae) using a self-curated mass spectra reference library

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry is an analytical method that detects macromolecules that can be used as biomarkers for taxonomic identification in arthropods. The conventional MALDI approach uses fresh laboratory-reared arthropod specimens to build a reference mass spectra library with high-quality standards required to achieve reliable identification. However, this may not be possible to accomplish in some arthropod groups that are difficult to rear under laboratory conditions, or for which only alcohol preserved samples are available. Here, we generated MALDI mass spectra of highly abundant proteins from the legs of 18 Neotropical species of adult field-collected hard ticks, several of which had not been analyzed by mass spectrometry before. We then used their mass spectra as fingerprints to identify each tick species by applying machine learning and pattern recognition algorithms that combined unsupervised and supervised clustering approaches. Both principal component analysis (PCA) and linear discriminant analysis (LDA) classification algorithms were able to identify spectra from different tick species, with LDA achieving the best performance when applied to field-collected specimens that did have an existing entry in a reference library of arthropod protein spectra. These findings contribute to the growing literature that ascertains mass spectrometry as a rapid and effective method for taxonomic identification of disease vectors, which is the first step to predict and manage arthropod-borne pathogens. Author Summary Hard ticks (Ixodidae) are external parasites that feed on the blood of almost every species of terrestrial vertebrate on earth, including humans. Due to a complete dependency on blood, both sexes and even immature stages, are capable of transmitting disease agents to their hosts, causing distress and sometimes death. Despite the public health significance of ixodid ticks, accurate species identification remains problematic. Vector species identification is core to developing effective vector control schemes. Herein, we provide the first report of MALDI identification of several species of field-collected Neotropical tick specimens preserved in ethanol for up to four years. Our methodology shows that identification does not depend on a commercial reference library of lab-reared samples, but with the help of machine learning it can rely on a self-curated reference library. In addition, our approach offers greater accuracy and lower cost per sample than conventional and modern identification approaches such as morphology and molecular barcoding.Matrix-assisted laser desorption/ionization (MALDI) time-of-flight mass spectrometry is an analytical method that detects macromolecules that can be used as biomarkers for taxonomic identification in arthropods. The conventional MALDI approach uses fresh laboratory-reared arthropod specimens to build a reference mass spectra library with high-quality standards required to achieve reliable identification. However, this may not be possible to accomplish in some arthropod groups that are difficult to rear under laboratory conditions, or for which only alcohol preserved samples are available. Here, we generated MALDI mass spectra of highly abundant proteins from the legs of 18 Neotropical species of adult field-collected hard ticks, several of which had not been analyzed by mass spectrometry before. We then used their mass spectra as fingerprints to identify each tick species by applying machine learning and pattern recognition algorithms that combined unsupervised and supervised clustering approaches. Both principal component analysis (PCA) and linear discriminant analysis (LDA) classification algorithms were able to identify spectra from different tick species, with LDA achieving the best performance when applied to field-collected specimens that did have an existing entry in a reference library of arthropod protein spectra. These findings contribute to the growing literature that ascertains mass spectrometry as a rapid and effective method for taxonomic identification of disease vectors, which is the first step to predict and manage arthropod-borne pathogens. Author Summary Hard ticks (Ixodidae) are external parasites that feed on the blood of almost every species of terrestrial vertebrate on earth, including humans. Due to a complete dependency on blood, both sexes and even immature stages, are capable of transmitting disease agents to their hosts, causing distress and sometimes death. Despite the public health significance of ixodid ticks, accurate species identification remains problematic. Vector species identification is core to developing effective vector control schemes. Herein, we provide the first report of MALDI identification of several species of field-collected Neotropical tick specimens preserved in ethanol for up to four years. Our methodology shows that identification does not depend on a commercial reference library of lab-reared samples, but with the help of machine learning it can rely on a self-curated reference library. In addition, our approach offers greater accuracy and lower cost per sample than conventional and modern identification approaches such as morphology and molecular barcoding

Instantaneous Wave-Free Ratio for the Assessment of Intermediate Left Main Coronary Artery Stenosis: Correlations With Fractional Flow Reserve/Intravascular Ultrasound and Prognostic Implications: The iLITRO-EPIC07 Study

Background: There is little information available on agreement between fractional flow reserve (FFR) and instantaneous wave-free ratio (iFR) in left main coronary artery (LMCA) intermediate stenosis. Besides, several meta-analyses support the use of FFR to guide LMCA revascularization, but limited information is available on iFR in this setting. Our aims were to establish the concordance between FFR and iFR in intermediate LMCA lesions, to evaluate with intravascular ultrasound (IVUS) in cases of FFR/iFR discordance, and to prospectively validate the safety of deferring revascularization based on a hybrid decision-making strategy combining iFR and IVUS. Methods: Prospective, observational, multicenter registry with 300 consecutive patients with intermediate LMCA stenosis who underwent FFR and iFR and, in case of discordance, IVUS and minimal lumen area measurements. Primary clinical end point was a composite of cardiovascular death, LMCA lesion-related nonfatal myocardial infarction, or unplanned LMCA revascularization. Results: FFR and iFR had an agreement of 80% (both positive in 67 and both negative in 167 patients); in case of disagreement (31 FFR+/iFR- and 29 FFR-/iFR+) minimal lumen area was & GE;6 mm(2) in 8.7% of patients with FFR+ and 14.6% with iFR+. Among the 300 patients, 105 (35%) underwent revascularization and 181 (60%) were deferred according to iFR and IVUS. At a median follow-up of 20 months, major adverse cardiac events incidence was 8.3% in the defer group and 13.3% in the revascularization group (hazard ratio, 0.71 [95% CI 0.30-1.72]; P=0.45). Conclusions: In patients with intermediate LMCA stenosis, a physiology-guided treatment decision is feasible either with FFR or iFR with moderate concordance between both indices. In case of disagreement, the use of IVUS may be useful to indicate revascularization. Deferral of revascularization based on iFR appears to be safe in terms of major adverse cardiac events

Role of the Cellular Prion Protein in Oligodendrocyte Precursor Cell Proliferation and Differentiation in the Developing and Adult Mouse CNS

There are numerous studies describing the signaling mechanisms that mediate oligodendrocyte precursor cell (OPC) proliferation and differentiation, although the contribution of the cellular prion protein (PrPc) to this process remains unclear. PrPc is a glycosyl-phosphatidylinositol (GPI)-anchored glycoprotein involved in diverse cellular processes during the development and maturation of the mammalian central nervous system (CNS). Here we describe how PrPc influences oligodendrocyte proliferation in the developing and adult CNS. OPCs that lack PrPc proliferate more vigorously at the expense of a delay in differentiation, which correlates with changes in the expression of oligodendrocyte lineage markers. In addition, numerous NG2-positive cells were observed in cortical regions of adult PrPc knockout mice, although no significant changes in myelination can be seen, probably due to the death of surplus cells