Integration of TED-Ed Lessons and TED and TEDx Talks to Enhance College Classroom Instruction

[EN] Florida State College at Jacksonville (FSCJ) obtained a TEDx license to offer educational events and additional learning resources to enhance college classroom instruction. TEDxFSCJ has organized annual conferences and salons with selected faculty, graduates, and students as  speakers. This work presents how TEDxFSCJ Talks and other TEDx and TED Talks have been used to create innovative TED Ed Lessons as tools to expand learning beyond course content and textbooks. Innovative learning experiences include video discussions and roundtables, workshops for faculty to learn how to create TED Ed Lessons, workshops and mentoring to TEDxFSCJ speakers to create their own TED Ed Lessons, combined online discussions in different courses using TED Ed platform, interactive TEDxFSCJ Salons, simulcasts, Learning Adventures, and integration of all TED resources in blogs and Learning Management Systems.  TEDxFSCJ Learning Adventures have been used in Management courses during academic year to plan and deliver team projects using selected talks related to leadership, social responsibility and Sustainable Development Goals. Results show that new TED Ed Lessons can be created to follow up engagement. Additionally, team projects in other disciplines can be developed using this innovative methodology. TED resources offer global learning opportunities to build engagement.http://ocs.editorial.upv.es/index.php/HEAD/HEAD18Lepervanche Valencia, J. (2018). Integration of TED-Ed Lessons and TED and TEDx Talks to Enhance College Classroom Instruction. Editorial Universitat Politècnica de València. 817-825. https://doi.org/10.4995/HEAD18.2018.8092OCS81782

Predictive model creation approach using layered subsystems quantified data collection from LTE L2 software system

Abstract. The road-map to a continuous and efficient complex software system’s improvement process has multiple stages and many interrelated on-going transformations, these being direct responses to its always evolving environment. The system’s scalability on this on-going transformations depends, to a great extent, on the prediction of resources consumption, and systematic emergent properties, thus implying, as the systems grow bigger in size and complexity, its predictability decreases in accuracy. A predictive model is used to address the inherent complexity growth and be able to increase the predictability of a complex system’s performance. The model creation processes are driven by the recollection of quantified data from different layers of the Long-term Evolution (LTE) Data-layer (L2) software system. The creation of such a model is possible due to the multiple system analysis tools Nokia has already implemented, allowing a multiple-layers data gathering flow. The process starts by first, stating the system layers differences, second, the use of a layered benchmark approach for the data collection at different levels, third, the design of a process flow organizing the data transformations from recollection, filtering, pre-processing and visualization, and forth, As a proof of concept, different Performance Measurements (PM) predictive models, trained by the collected pre-processed data, are compared. The thesis contains, in parallel to the model creation processes, the exploration, and comparison of various data visualization techniques that addresses the non-trivial graphical representation of the in-between subsystem’s data relations. Finally, the current results of the model process creation process are presented and discussed. The models were able to explain 54% and 67% of the variance in the two test configurations used in the instantiation of the model creation process proposed in this thesis

Resonant interaction of trapped cold atoms with a magnetic cantilever tip

Magnetic resonance in an ensemble of laser-cooled trapped Rb atoms is excited using a micro- cantilever with a magnetic tip. The cantilever is mounted on a multi-layer chip designed to capture, cool, and magnetically transport cold atoms. The coupling is observed by measuring the loss from a magnetic trap as the oscillating cantilever induces Zeeman state transitions in the atoms. Interfacing cold atoms with mechanical devices could enable probing and manipulating atomic spins with nanometer spatial resolution and single-spin sensitivity, leading to new capabilities in quantum computation, quantum simulation, or precision sensing.Comment: 5 pages, 4 figure

Factores asociados a la nutrición enteral tardía en la Unidad de Cuidados Intensivos del Hospital Base Víctor Lazarte Echegaray - EsSalud, Trujillo 2010 - 2015

Objetivo: Determinar si la ventilación de presión positiva invasiva, la diarrea, y el uso de vasopresores y drogas ionotrópicas, son factores asociados al retraso en el inicio de nutrición enteral en pacientes de la unidad de cuidados intensivos del Hospital Base Víctor Lazarte Echegaray. Período 2010-2015. Material y métodos: Es un estudio analítico transversal retrospectivo de casos y controles que usa los registros médicos como fuente de datos. La muestra consta de 124 historias clínicas de la unidad de cuidados intensivos del Hospital Base Víctor Lazarte Echegaray, Essalud, de Trujillo, en el periodo 2010 – 2015, se seleccionó por muestreo probabilístico aleatorio a las que cumplieran con los criterios de inclusión y exclusión, descartando las que no lo hicieron. De las 124 historias clínicas, 62 correspondieron al grupo casos y 62 al grupo control. Resultados: La ventilación de presión positiva invasiva no es un factor asociado al retraso en el inicio de la nutrición enteral en pacientes de la unidad de cuidados intensivos, se obtuvo un Odds Ratio de 1.4844 (IC 95%, L. inferior 0.7271, L. superior 3.0302) y Chi Cuadrado no significativo (X2, 1.4844). La diarrea tampoco es un factor asociado a la nutrición enteral tardía, con Odds Ratio de 0.7373 (IC 95%, L. inferior 0.158, L. superior 3.4399), y Chi Cuadrado no significativo (X2, 0.1514). El uso de vasopresores y drogas ionotrópicas en las primeras 48 horas de la admisión a la unidad de cuidados intensivos; no es factor relacionado a la nutrición enteral tardía, con Odds Ratio de 1.2138 (IC 95%, L. inferior 0.5998, L. superior 2.4565), y Chi Cuadrado sin significancia estadística (X2,0.1514). Conclusiones: El uso de ventilación de presión positva invasiva, la diarrea y el uso de vasopresores y drogas ionotrópicas no son factores asociados al retraso en el inicio de la nutrición enteral en pacientes de la unidad de cuidados intensivos del Hospital Base Víctor Lazarte Echegaray. Periodo 2010-2015.Objective: To determine whether invasive positive pressure ventilation, diarrhea, and the use of vasopressors and ionotropic drugs are factors associated with delayed initiation of enteral nutrition in patients in the intensive care unit of the Víctor Lazarte Echegaray's Hospital. Period 2010-2015. Material and methods: This is a cross-sectional retrospective analytical study of cases and controls using medical records as a data source. The sample consists of 124 clinical records of patients from the Intensive care unit of the Víctor Lazarte Echegaray's Hospital of Trujillo, in the period 2010-2015, the selection was by random probability sampling and those that met the inclusion criteria were selected Exclusion, discarding those that did not. Of the 124 clinical records, 62 were in the cases group and 62 in the control group. Results: Invasive positive pressure ventilation is not a factor associated with delayed initiation of enteral nutrition in patients in the intensive care unit, an odds ratio of 1.4844 (95% CI, 0.27271, L. Upper 3.0302) and non-significant square Chi (X2, 1.4844). Diarrhea is also not a factor associated with late enteral nutrition, with Odds Ratio of 0.7373 (95% CI, lower LD 0.158, higher LD 3.4399), and non-significant Chi (X2, 0.1514). The use of vasopressors and ionotropic drugs within the first 48 hours of admission to the Intensive Care Unit; Is not a risk factor for late enteral nutrition, with Odds Ratio of 1.2138 (95% CI, 0.5998 lower L., 2.4565 upper L.), and Chi Square with no statistical significance (X2, 0.1514). Conclusions: The use of invasive positva pressure ventilation, diarrhea and the use of vasopressors and ionotropic drugs are not risk factors for the delay in the initiation of enteral nutrition in patients of the intensive care unit of the Víctor Lazarte Echegaray's Hospital. Period 2010-2015.Tesi

Extending Coherence for Atomic Clocks

Optical clock stability is fundamentally limited by the stability of the probe laser. The laser is typically stabilized to an ultra-stable cavity. By improving the stability of the cavity, the optical clock precision is improved. Recent progress on silicon-based cavities has reached 4 x 10-17 stability [1], limited by thermal noise in the mirror coating and cavity elements. This thesis describes the construction and characterization of a sapphire cavity, using GaAlAs/AlAs mirror coatings [2] and reaching cryogenic temperatures of 10 K, to obtain a lower thermal noise limit, 3 x 10-18. This limit is below the thermal noise limit of 4 x 10-17 reached in the most stable optical reference cavities worldwide[1]. The cavity design and mounting structure minimize the effect of vibrations with the measured acceleration sensitivity below 3 x 10-11 1/g in all directions. With temperature-controlled and passive heat shields, we observe temperature drifts of +/- 450 nK at the 1-hour timescale. Using three-cornered hat measurements, we measure the cryogenic cavity stability to be 1 x 10-16&nbsp;/&radic;/s which is better than thermal noise limited room-temperature cavities in our group. The design details and preliminary measurements related to thermal noise, temperature fluctuations, vibrations, and other technical noise sources will be discussed. This lower limit could enable interrogation of the lifetime-limited linewidth (8 mHz) of the Al+ clock transition, where an averaging time of 6.9 x 10-16 /&radic;/s is possible with this cavity.</p

Real-Time Wireless Data Acquisition System

Current and future aerospace requirements demand the creation of a new breed of sensing devices, with emphasis on reduced weight, power consumption, and physical size. This new generation of sensors must possess a high degree of intelligence to provide critical data efficiently and in real-time. Intelligence will include self-calibration, self-health assessment, and pre-processing of raw data at the sensor level. Most of these features are already incorporated in the Wireless Sensors Network (SensorNet(TradeMark)), developed by the Instrumentation Group at Kennedy Space Center (KSC). A system based on the SensorNet(TradeMark) architecture consists of data collection point(s) called Central Stations (CS) and intelligent sensors called Remote Stations (RS) where one or more CSs can be accommodated depending on the specific application. The CS's major function is to establish communications with the Remote Stations and to poll each RS for data and health information. The CS also collects, stores and distributes these data to the appropriate systems requiring the information. The system has the ability to perform point-to-point, multi-point and relay mode communications with an autonomous self-diagnosis of each communications link. Upon detection of a communication failure, the system automatically reconfigures to establish new communication paths. These communication paths are automatically and autonomously selected as the best paths by the system based on the existing operating environment. The data acquisition system currently under development at KSC consists of the SensorNet(TradeMark) wireless sensors as the remote stations and the central station called the Radio Frequency Health Node (RFHN). The RFF1N is the central station which remotely communicates with the SensorNet(TradeMark) sensors to control them and to receive data. The system's salient feature is the ability to provide deterministic sensor data with accurate time stamps for both time critical and non-time critical applications. Current wireless standards such as Zigbee(TradeMark) and Bluetooth(Registered TradeMark) do not have these capabilities and can not meet the needs that are provided by the SensorNet technology. Additionally, the system has the ability to automatically reconfigure the wireless communication link to a secondary frequency if interference is encountered and can autonomously search for a sensor that was perceived to be lost using the relay capabilities of the sensors and the secondary frequency. The RFHN and the SensorNet designs are based on modular architectures that allow for future increases in capability and the ability to expand or upgrade with relative ease. The RFHN and SensorNet sensors .can also perform data processing which forms a distributed processing architecture allowing the system to pass along information rather than just sending "raw data points" to the next higher level system. With a relatively small size, weight and power consumption, this system has the potential for both spacecraft and aircraft applications as well as ground applications that require time critical data

Integración de mapas, fotos, videos, datos e historias en ArcGIS StoryMaps en proyectos de cursos de gestión de negocios internacionales

[EN] International Business Management courses in the Bachelors of Supervision and Management and Business Administration programs in Florida State College at Jacksonville (FSCJ) require final team projects. Students have to create a fictitious consulting company and produce a business intelligence report for a presentation for a fictitious customer. The objective of the report is to explore new international markets and evaluate the strengths, weaknesses, opportunities, and threats for a technology company with interests in opening operations in a selected country. Students have to assemble their final presentations using ArcGIS StoryMaps. This is an immersive presentation tool that combines stories, text, interactive maps, and other multimedia content. Once a StoryMap is created and shared, it allows the professor to provide immediate feedback to improve contents and styles. Final StoryMap can be published and shared with other courses, organizations, or everyone around the world. This report summarizes their initial uses in FSCJ courses in both programs and the results to continue applying this technological tool to support and improve presentations of team projects.[ES] Los cursos de Gestión de Negocios Internacionales en los programas de Licenciatura en Supervisión y Gestión y Administración de Negocios en Florida State College en Jacksonville (FSCJ) requieren proyectos de equipo final. Los estudiantes deben crear una empresa de consultoría ficticia y producir un informe de inteligencia empresarial para una presentación para un cliente ficticio. El objetivo del informe es explorar nuevos mercados internacionales y evaluar las fortalezas, debilidades, oportunidades y ventajas de una empresa de tecnología con intereses en abrir operaciones en un país seleccionado. Los estudiantes deben organizar sus presentaciones finales mediante el uso de ArcGIS StoryMaps. Esta es una herramienta de presentación inmersiva que combina historias, texto, mapas interactivos y otro contenido multimedia. Una vez que se crea y comparte un StoryMap, le permite al profesor brindar retroalimentación inmediata para mejorar los contenidos y estilos. El StoryMap final se puede publicar y compartir con otros cursos, organizaciones o cualquier persona en todo el mundo. Este informe resume sus usos iniciales en los cursos FSCJ y sus resultados para seguir utilizando esta herramienta tecnológica para apoyar y mejorar las presentaciones de los proyectos en equipo.Lepervanche Valencia, J. (2021). Integración de mapas, fotos, videos, datos e historias en ArcGIS StoryMaps en proyectos de cursos de gestión de negocios internacionales. En IN-RED 2021: VII Congreso de Innovación Edicativa y Docencia en Red. Editorial Universitat Politècnica de València. 867-876. https://doi.org/10.4995/INRED2021.2021.13773OCS86787