55 research outputs found

    Factores que influyen en el posicionamiento de los productos de panadería Lilliam en la ciudad de Estelí en l semestre del año 2020

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    El posicionamiento es una meta común de cualquier empresa que pretende colocarse en el mercado y atraer clientes, la mayoría de estudios se enfocan en el análisis de posicionamiento de bienes tangibles. Esta tesis de seminario de graduación analiza los factores de posicionamiento de panadería Lilliam en la ciudad de Estelí durante el primer semestre del año 2020. Esta investigación tiene como objeto general determinar los factores que influyen en el posicionamiento de los productos de panadería Lilliam en la ciudad de Estelí en el I semestre del año 2020, Como parte del proceso investigativo se procedió a la búsqueda de información relacionada con el tema de estudio. Dicha búsqueda se llevó a cabo en el repositorio unan Managua, así como de sitios web y revistas electrónicas indexadas habiendo encontrado documentos impresos todo esto para la construcción del marco teórico. Esto sirvió como base para la elaboración de los instrumentos como es la encuesta y dirigidas a clientes y a la propietaria de la panadería lilliam con el objetivo de conocer la Participación de Mercado de la Panadería y el tipo de posicionamiento que esta tiene en el mercado de la cuidad de Estelí, así elaborar resultados que permitan dar respuesta al problema y objetivos propuestos, así como la elaboración de estrategias que faciliten la fidelización de los clientes actuales y potenciales

    Factor que influye en el posicionamiento de los productos de panadería Lilliam

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    El posicionamiento es una meta común de cualquier empresa que pretende colocarse en el mercado y atraer clientes, la mayoría de estudios se enfocan en el análisis de posicionamiento de bienes tangibles. Esta tesis de seminario de graduación analiza los factores de posicionamiento de panadería Lilliam en la ciudad de Estelí durante el primer semestre del año 2020. Esta investigación tiene como objeto general determinar los factores que influyen en el posicionamiento de los productos de panadería Lilliam en la ciudad de Estelí en el I semestre del año 2020, Como parte del proceso investigativo se procedió a la búsqueda de información relacionada con el tema de estudio. Dicha búsqueda se llevó a cabo en el repositorio unan Managua, así como de sitios web y revistas electrónicas indexadas habiendo encontrado documentos impresos todo esto para la construcción del marco teórico. Esto sirvió como base para la elaboración de los instrumentos como es la encuesta y dirigidas a clientes y a la propietaria de la panadería Lilliam con el objetivo de conocer la Participación de Mercado de la Panadería y el tipo de posicionamiento que esta tiene en el mercado de la ciudad de Estelí, así elaborar resultados que permitan dar respuesta al problema y objetivos propuestos, así como la elaboración de estrategias que faciliten la fidelización de los clientes actuales y potenciales

    A ubiquitous service-oriented automatic optical inspection platform for textile industry

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    Within a highly competitive market context, quality standards are vital for the textile industry, in which related procedures to assess respective manufacture still mainly rely on human-based visual inspection. Thereby, factors such as ergonomics, analytical subjectivity, tiredness and error susceptibility affect the employee's performance and comfort in particular and impact the economic healthiness of each company operating in this industry, generally. In this paper, a defect detection-oriented platform for quality control in the textile industry is proposed to tackle these issues and respective impacts, combining computer vision, deep learning, geolocation and communication technologies. The system under development can integrate and improve the production ecosystem of a textile company through a properly adapted information technology setup and associated functionalities such as automatic defect detection and classification, real-time monitoring of operators, among others.This work was financed by the project “Smart Production Process” (No. POCI-01-0247-FEDER-045366), supported under the Incentive System for Research and Technological Development - Business R&DT (Individual Projects)

    Near real-time change detection system using Sentinel-2 and machine learning: a test for Mexican and Colombian forests

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    The commitment by over 100 governments covering over 90% of the world’s forests at the COP26 in Glasgow to end deforestation by 2030 requires more effective forest monitoring systems. The near real-time (NRT) change detection of forest cover loss enables forest landowners, government agencies and local communities to monitor natural and anthropogenic disturbances in a much timelier fashion than the thematic maps that are released every year. NRT deforestation alerts enable the establishment of more up-to-date forest inventories and rapid responses to unlicensed logging. The Copernicus Sentinel-2 satellites provide operational Earth observation (EO) data from multi-spectral optical/near-infrared wavelengths every five days at a global scale and at 10 m resolution. The amount of acquired data requires cloud computing or high-performance computing for ongoing monitoring systems and an automated system for processing, analyzing and delivering the information promptly. Here, we present a Sentinel-2-based NRT change detection system, assess its performance over two study sites, Manantlán in Mexico and Cartagena del Chairá in Colombia, and evaluate the forest changes that occurred in 2018. An independent validation with very high-resolution PlanetScope (~3 m) and RapidEye (~5 m) data suggests that the proposed NRT change detection system can accurately detect forest cover loss (> 87%), other vegetation loss (> 76%) and other vegetation gain (> 71%). Furthermore, the proposed NRT change detection system is designed to be attuned using in situ data. Therefore, it is scalable to larger regions, entire countries and even continents

    The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

    The Caldera. No. 23

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    La pandemia, sin lugar a dudas, nos ha cambiado la vida a todos; un viernes nos fuimos para nuestros hogares, en el marco de una educación presencial; al lunes siguiente, después de dos días, estábamos iniciando el camino hacia una educación remota, una educación virtual, que se ha convertido en una gran alternativa para seguir contribuyendo con la formación de nuestros niños y jóvenes caldistas y al mejoramiento de nuestra calidad de vida que halla, en la educación, nuevamente la respuesta; han sido meses de cambios drásticos, inimaginables pero, cambios positivos que nos han permitido crecer como individuos, como familia, como escuela y como sociedad.Especial pandemia. Una generación Resiliente por promoción DINASTIA…06 VII Concurso Intercolegiado departamental de Oratoria. Ulibro 2020…51 Deporte en el Caldas…64 Expresiones Caldistas…71 Celebremos la palabra…93 Nuestros Maestros…102 Galería de Imágenes…107The pandemic, without a doubt, has changed the lives of all of us; One Friday we went to our homes, as part of a face-to-face education; The following Monday, after two days, we were starting the path towards a remote education, a virtual education, which has become a great alternative to continue contributing to the training of our children and young Caldistas and to the improvement of our quality of life. that finds, in education, the answer again; They have been months of drastic changes, unimaginable but positive changes that have allowed us to grow as individuals, as a family, as a school and as a society

    The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the Extended Baryon Oscillation Spectroscopic Survey and from the Second Phase of the Apache Point Observatory Galactic Evolution Experiment

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since 2014 July. This paper describes the second data release from this phase, and the 14th from SDSS overall (making this Data Release Fourteen or DR14). This release makes the data taken by SDSS-IV in its first two years of operation (2014–2016 July) public. Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey; the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data-driven machine-learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from the SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS web site (www.sdss.org) has been updated for this release and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020 and will be followed by SDSS-V

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat
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