UAS - ATM Simulated Integrated Scenario Technical Debriefer

An unmanned aerial system is an aircraft that flies with no crew onboard. These vehicles and manned aircraft are provided with a black box that records all flight variables (altitude, speed, acceleration, etc...) and cockpit conversations. One of its functions is to store data in the event of an accident, to analyze what happened instants prior the incident. This data is stored in order to be treated afterwards. ICARUS research group is working on an unmanned aerial system simulator called ISIS, used to evaluate the integration of the unmanned aerial systems into non-segregated airspace. This simulator, like an aircraft, has a black box that generates and stores flight data for later analysis. The particularities of the unmanned aerial system simulator require specific software to analyze the data in depth. This project aims to design and implementation of software to analyze data files generated by this simulator. The system must be able to represent charts using any magnitude in function of time. It must also have tools to detect air traffic conflicts with other commercial aircraft and analyze parameters of the different flight plan sections. The application allows exporting these charts to vector format and performing unit conversions. In addition, the software has been extended to analyze any type of data file from any platform. Thus, the software is not specific to the ISIS simulator, but is able to process any type of data file. To check the operation of this extension, it has been tested with data from three different platforms: flight data from a real unmanned helicopter, from an unmanned aircraft simulator and from unmanned flights performed by NASA.Un s istema aéreo no tripulado e s una aeronave que vuela sin personal a bordo. Tanto estos vehículos como los aviones tripulados están provistos de una caja negra que registra la totalidad de l a s variables de vuelo (altitud, velocidad, aceleración , etc ... ) y las conversaciones de cabina . Una de sus funciones es almacenar datos que, en caso de un accidente, permita analizar lo ocurrido en los momentos previos a este. Estos datos son almacenados con el objetivo de ser tratados a posteriori . El grupo de investigación ICARUS está trabajando en un simulador de aviones no tripulados llamado ISIS, con el que se pretende evaluar la integración de éstos en el espacio aéreo no segregado. Este simulador, al igual que una aeronave, contiene una caja negra que genera y almacena los datos de vuelo para su posterior análisis. L as particularidades del simul ador de aviones no tripulados hacen que, para poder analizar los datos en profundidad, sea necesario un software específico. Este proyecto tiene como objetivo el diseño e implementación de un software para el análisis de ficheros de datos generados por es te simulador. El sistema debe ser capaz de representar mediante gráficos cualquier magnitud que éste genere en función del tiempo. Además debe tener herramientas para detectar conflictos de tráfico aéreo con otros aviones comerciales y a nalizar parámetros de las distintas fases del plan de vuelo. La aplicación ha de permitir exportar sus graficas a formato vectorial y realizar conversiones de unidades. Además , el software, ha sido extendido para analizar cualquier tipo de fichero de datos . De este modo a pa rte dar las herramientas necesarias para analizar los datos propios del simulador, ofrece flexibilidad para poder analizar ficheros de otras plataformas. Para comprobar el funcionamiento de dicha extensión se han realizado pruebas con datos de tres plataf ormas diferentes: datos de vuelo de un helicóptero real no tripulado, del simulador de aviones no tripulados y de vuelos realizados por un avión no tripulado de NASA

Single-frame super-resolution in remote sensing: a practical overview

Image acquisition technology is improving very fast from a performance point of view. However, there are physical restrictions that can only be solved using software processing strategies. This is particularly true in the case of super resolution (SR) methodologies. SR techniques have found a fertile application field in airborne and space optical acquisition platforms. Single-frame SR methods may be advantageous for some remote-sensing platforms and acquisition time conditions. The contributions of this article are basically two: (1) to present an overview of single-frame SR methods, making a comparative analysis of their performance in different and challenging remote-sensing scenarios, and (2) to propose a new single-frame SR taxonomy, and a common validation strategy. Finally, we should emphasize that, on the one hand, this is the first time, to the best of our knowledge, that such a review and analysis of single SR methods is made in the framework of remote sensing, and, on the other hand, that the new single-frame SR taxonomy is aimed at shedding some light when classifying some types of single-frame SR methods.This work was supported by the Spanish Ministry of Economy under the project ESP2013 - 48458-C4-3-P, by Generalitat Valenciana through project PROMETEO-II/2014/062, and by Universitat Jaume I through project P11B2014-09

Latent topic-based super-resolution for remote sensing

This letter presents a novel single-image Super-Resolution (SR) approach based on latent topics specially designed to remote sensing imagery. The proposed approach pursues to super-resolve topics uncovered from low-resolution images instead of super-resolving image patches themselves. An experimental comparison is con- ducted using nine di ff erent SR methods over four aerial image data- sets. Experiments revealed the potential of latent topics in remote sensing SR by reporting that the proposed approach is able to provide a competitive advantage especially in low noise conditions.This work was supported by the Spanish Ministry of Economy under the projects ESP2013-48458- C4-3-P and ESP2016-79503-C2-2-P, by Generalitat Valenciana through project PROMETEO-II/2014/ 062, and by Universitat Jaume I through project P11B2014-09

Sistema de gestión de inventarios para Majitas Sport

Práctica EmpresarialSe diseño un sistema de gestión de inventarios de Majitas Sport para controlar las entradas y salidas de los materiales y las materias primas, con el fin de controlar los stocks existentes, y asi bajar por costos de almacenamiento debia al exceso de producto en bodega y la falta de insumos en determinados momentos de la producción, lo cual no solo genera un gasto excesivo sino que ademas perjudica los tiempos de entrega de los pedidos lo cual afecta que la entrega final, con este diseño se propone controlar de una manera asertiva las existencias y el producto terminado.INTRODUCCIÓN 1. GENERALIDADES 2. DIAGNÓSTICO DEL ESTADO ACTUAL DE INVENTARIOS EN MAJITAS SPORT. 3. PLANTEAR EL MODELO DE INVENTARIOS QUE MÁS SE AJUSTE A LAS NECESIDADES DE MAJITAS SPORT 4. STABLECER EL IMPACTO DE COSTOS DEL QUE LA EMPRESA SE PUEDE BENEFICIAR DE ACUERDO AL MODELO DE INVENTARIOS PROPUESTO 5. CONCLUSIONES 6. RECOMENDACIONES BIBLIOGRAFIA ANEXOSPregradoIngeniero Industria

MARQ: an online tool to mine GEO for experiments with similar or opposite gene expression signatures

The enormous amount of data available in public gene expression repositories such as Gene Expression Omnibus (GEO) offers an inestimable resource to explore gene expression programs across several organisms and conditions. This information can be used to discover experiments that induce similar or opposite gene expression patterns to a given query, which in turn may lead to the discovery of new relationships among diseases, drugs or pathways, as well as the generation of new hypotheses. In this work, we present MARQ, a web-based application that allows researchers to compare a query set of genes, e.g. a set of over- and under-expressed genes, against a signature database built from GEO datasets for different organisms and platforms. MARQ offers an easy-to-use and integrated environment to mine GEO, in order to identify conditions that induce similar or opposite gene expression patterns to a given experimental condition. MARQ also includes additional functionalities for the exploration of the results, including a meta-analysis pipeline to find genes that are differentially expressed across different experiments. The application is freely available at http://marq.dacya.ucm.es

Comparative Analysis of 5-Year Clinical Outcomes and Patterns of Failure of Proton Beam Therapy Versus Intensity Modulated Radiation therapy for Prostate Cancer in the Postoperative Setting

Purpose: Although proton beam therapy (PBT) is a rapidly expanding modality to treat prostate cancer compared with intensity modulated radiation therapy (IMRT), data comparing disease control outcomes and patterns of failure in the postprostatectomy setting remain substantially limited. Methods and Materials: All patients who underwent postoperative IMRT or PBT to the prostate bed only at a single institution were included (2009-2017). Endpoints included biochemical failure (BF; using institutional and recent cooperative group trial definitions), local failure (LF), regional failure (RF), distant failure (DF), and all-cause mortality. A case-matched cohort analysis was performed using 3-to-1 nearest-neighbor matching; multivariable Cox proportional hazards modeling (MVA) estimated hazard ratios for disease-related outcomes by treatment modality. Results: Of 295 men, 260 were matched (n = 65 PBT, 195 IMRT); after matching, only age at diagnosis (P .05). RT modality was not significantly associated with BF on MVA using institutional or cooperative group definitions (all P > .05), nor with LF (P = .82), RF (P = .11), DF (P = .36), or all-cause mortality (P = .69). Patterns of failure were qualitatively similar between cohorts (DF: bone, retroperitoneal nodes, lung). Conclusions: In this single institution, case-matched analysis, PBT yielded similar long-term disease-related outcomes and patterns of failure to IMRT in the postprostatectomy setting. (C) 2020 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved

Semiautomatic Training Load Determination in Endurance Athletes

Background: Despite endurance athletes recording their training data electronically, researchers in sports cardiology rely on questionnaires to quantify training load. This is due to the complexity of quantifying large numbers of training files. We aimed to develop a semiautomatic postprocessing tool to quantify training load in clinical studies. Methods: Training data were collected from two prospective athlete’s heart studies (Master Athlete’s Heart study and Prospective Athlete Heart study). Using in-house developed software, maximal heart rate (MaxHR) and training load were calculated from heart rate monitored during cumulative training sessions. The MaxHR in the lab was compared with the MaxHR in the field. Lucia training impulse score, based on individually based exercise intensity zones, and Edwards training impulse, based on MaxHR in the field, were compared. A questionnaire was used to determine the number of training sessions and training hours per week. Results: Forty-three athletes recorded their training sessions using a chest-worn heart rate monitor and were selected for this analysis. MaxHR in the lab was significantly lower compared with MaxHR in the field (183 ± 12 bpm vs. 188 ± 13 bpm, p < .01), but correlated strongly (r = .81, p < .01) with acceptable limits of agreement (±15.4 bpm). An excellent correlation was found between Lucia training impulse score and Edwards training impulse (r = .92, p < .0001). The quantified number of training sessions and training hours did not correlate with the number of training sessions (r = .20) and training hours (r = −.12) reported by questionnaires. Conclusion: Semiautomatic measurement of training load is feasible in a wide age group. Standard exercise questionnaires are insufficiently accurate in comparison to objective training load quantification

Incidence of Long-Term Esophageal Dilation With Various Treatment Approaches in the Older Head and Neck Cancer Population

Purpose: Treatments for locoregionally advanced head and neck cancer (LAHNC) negatively impact swallowing function, but the long-term incidence of severe toxicity requiring esophageal dilation is not well-documented in the population. The aim of this study was to compare the incidence of long-term esophageal dilation across varying treatments for LAHNC.Methods and Materials: We identified 5,223 patients with LAHNC diagnosed from 2000 to 2009 in the SEER-Medicare database. We compared the incidence of esophageal dilation for surgery alone vs. surgery plus adjuvant radiotherapy (RT) and chemoradiotherapy (CRT) vs. definitive RT or CRT.Results: The cumulative incidence of esophageal dilation for all sites at 10 years, according to treatment group were as follows: CRT, 14% (95% confidence interval (CI), 12–17%); definitive RT, 13% (95% CI, 10–16%); surgery alone, 5% (95% CI, 3–7%); surgery and CRT, 15% (95% CI, 11–19%); surgery and adjuvant RT: 10% (95% CI, 8–13%). There was no significant difference in the incidence of esophageal dilation between surgery plus adjuvant RT/CRT or definitive RT/CRT (p = 0.37), but the incidence was significantly increased in both groups compared to surgery alone (p = 0.003). On multivariable analysis, chemotherapy was associated with significantly increased incidence of esophageal dilation (HR 2.9, 95% CI 1.5–5.5, p &lt; 0.001) in oropharyngeal cancers.Conclusions: The incidence of esophageal dilation is similar in LAHNC patients undergoing RT with or without surgery. Chemoradiotherapy increases the long-term risk of esophageal dilation events over surgery alone

Motivaciones y obstáculos a la incorporación de tecnología 4.0 en PyMEs de la provincia de Santa Fe

The processes of digitization and the integration of new technologies associated with Industry 4.0 within companies are considered key elements in generating their competitive advantages. Various factors influence the selection processes of these technologies, alongside multiple motivations and obstacles encountered in tackling this challenge. This study aims to understand the incorporation process of these technologies within companies in Santa Fe´s province. It draws upon data collected through the "Santa Fe Digital Transformation R&amp;D" program, conducted in collaboration with the National University of Rafaela in 2022. Employing a quantitative methodology, indicators are devised to assess the level of technological adoption, motivations, and obstacles encountered. The analysis explores the relationship between different dimensions associated with the digitization process and variables such as the sector and size of companies, employing chi-square tests and standardized normalized residuals. Findings suggest that SMEs are motivated to adopt 4.0 technologies to achieve cost savings, enhance relationships with clients and suppliers, and improve their processes. However, they face challenges concerning financial capacity, the availability of human resources, and infrastructural deficiencies that constrain the adoption of these technologies.Los procesos de digitalización y de incorporación de nuevas tecnologías vinculadas con la industria 4.0 en las empresas se consideran como elementos clave en la generación de sus ventajas competitivas. Existen diversos elementos que intervienen en los procesos de elección de estas tecnologías, así como múltiples motivaciones y obstáculos para encarar este desafío. Este trabajo busca comprender cómo es el proceso de incorporación de estas tecnologías en la provincia de Santa Fe. Se basa en datos recopilados del relevamiento realizado en el marco del programa "Santa Fe Transformación Digital I+D+I", realizado por el Ministerio de Producción, Ciencia y Tecnología y el gobierno de la Provincia de Santa Fe, en colaboración con la Universidad Nacional de Rafaela en 2022. Utilizando metodología cuantitativa se crean indicadores para evaluar el nivel de incorporación de tecnología, las motivaciones y obstáculos enfrentados. A su vez se analiza la relación entre diferentes dimensiones relacionadas con el proceso de digitalización y variables como el sector de actividad y el tamaño de las empresas utilizando pruebas de chi cuadrado y residuos estandarizados normalizados. Los hallazgos señalan que las Pymes se ven motivadas a la incorporación de tecnologías 4.0 para generar un ahorro en costos, mejorar la relación con sus clientes y proveedores y alcanzar una mejora en sus procesos, sin embargo, enfrentan desafíos relacionados con la capacidad de financiación, la disponibilidad de recursos humanos y las deficiencias en infraestructura que limitan la incorporación de estas tecnologías