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  <title>DSpace Comunidad :</title>
  <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/91" />
  <subtitle />
  <id>https://repositorio.uca.edu.ar/handle/123456789/91</id>
  <updated>2026-06-24T21:07:33Z</updated>
  <dc:date>2026-06-24T21:07:33Z</dc:date>
  <entry>
    <title>Inadecuaciones dietéticas en niños menores de 2 años en Argentina: recomendaciones e intervenciones y una perspectiva de costo-efectividad</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/21958" />
    <author>
      <name>Albornoz, Mariana</name>
    </author>
    <author>
      <name>Britos, Sergio</name>
    </author>
    <author>
      <name>Cabreriso, Soledad</name>
    </author>
    <author>
      <name>Kenny, Patricio</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/21958</id>
    <updated>2026-06-24T16:16:23Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Inadecuaciones dietéticas en niños menores de 2 años en Argentina: recomendaciones e intervenciones y una perspectiva de costo-efectividad
Autor: Albornoz, Mariana; Britos, Sergio; Cabreriso, Soledad; Kenny, Patricio
Resumen: Los primeros 1000 días de vida representan una etapa de alta vulnerabilidad nutricional y ventana de oportunidad para intervenciones en la salud infantil. Sin embargo, las deficiencias de micronutrientes siguen siendo generalizadas en muchos países. La leche humana es el mejor alimento y debe ser exclusivo durante los primeros seis meses, luego de lo cual deben incorporarse alimentos complementarios para disminuir el riesgo de inadecuaciones en la dieta. Entre el 14,3% y 59,8% (6 y entre 12-15 meses respectivamente) de quienes abandonan la lactancia materna incorporan leche de vaca, cuyo consumo no es recomendado hasta el año de vida. Además, la alimentación complementaria registra un promedio de diversidad alimentaria mínima de 5,2 y 32% de los niños presenta una dieta poco diversa. Las principales inadecuaciones dietéticas se observan en ácidos grasos poliinsaturados omega 3, vitamina D y hierro. Las Guías de Práctica Clínica sobre Alimentación Complementaria, las intervenciones prescriptas por la Ley 1000 días (provisión gratuita de fórmulas infantiles o leche fortificada y transferencia monetaria para la compra de alimentos saludables), la suplementación con hierro o vitamina D y el programa Fierritas son las estrategias más conocidas en la nutrición de los primeros años. La evidencia analizada en esta mini revisión es consistente con la efectividad de las estrategias de fortificación de alimentos para esta etapa del ciclo de vida, en especial cuando se aplican en alimentos complementarios. Por otra parte, distintos estudios, algunos de ellos locales, ofrecen evidencia acerca de los beneficios sanitarios de prevenir las deficiencias nutricionales comparado con los costos de diferentes estrategias. Dada la importancia del componente lácteo en la dieta de niños menores de 2 años se sugiere analizar los costos de diferentes escenarios nutricionales que disponen las familias para cubrir los requerimientos de nutrientes claves con una adecuada densidad nutricional.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Autonomic regulation across sleep and wake during an Antarctic overwintering</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/21939" />
    <author>
      <name>Tortello, Camila</name>
    </author>
    <author>
      <name>Folgueira, Agustín</name>
    </author>
    <author>
      <name>Cauda, B.</name>
    </author>
    <author>
      <name>González, L. E.</name>
    </author>
    <author>
      <name>Sala Lozano, E.</name>
    </author>
    <author>
      <name>Pattyn, N.</name>
    </author>
    <author>
      <name>Simonelli, G.</name>
    </author>
    <author>
      <name>Plano, Santiago A.</name>
    </author>
    <author>
      <name>Vigo, Daniel E.</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/21939</id>
    <updated>2026-06-24T07:01:12Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Título: Autonomic regulation across sleep and wake during an Antarctic overwintering
Autor: Tortello, Camila; Folgueira, Agustín; Cauda, B.; González, L. E.; Sala Lozano, E.; Pattyn, N.; Simonelli, G.; Plano, Santiago A.; Vigo, Daniel E.
Resumen: Isolated, confined and extreme environments like Antarctic overwinterings present significant challenges to human psychophysiological adaptation. While previous evidence suggests that such conditions affect autonomic response, the extent to which human physiology adapts, in particular, the sleep-wake cycle and circadian rhythms, remains unclear. To assess the impact of prolonged isolation and the polar night on autonomic nervous system activity, we conducted an observational and longitudinal study at Belgrano II Argentine Antarctic station over a year-long campaign. Heart rate variability, a measure of cardiac autonomic modulation, was computed in 13 crewmembers over 24-hour periods every two months. Analysis revealed a decrease in parasympathetic regulation during wakefulness and an increase during sleep, in association with the increasing duration of isolation. At the same time, parasympathetic activity during sleep decreased during the polar night, suggesting a distinct seasonal effect. These findings offer novel insights into how isolation and the polar night influence autonomic regulation. Understanding these physiological adaptations is crucial for developing effective countermeasures to mitigate stress-related health issues in extreme environments.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Time-dependent metabolic response in sepsis severity: the influence of glucose in the disease outcome</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/21938" />
    <author>
      <name>Senna, Camila Agustina</name>
    </author>
    <author>
      <name>Mul Fedele, Malena Lis</name>
    </author>
    <author>
      <name>Aiello, Ignacio</name>
    </author>
    <author>
      <name>Hokama, Guido</name>
    </author>
    <author>
      <name>Golombek, Diego A.</name>
    </author>
    <author>
      <name>Paladino, Natalia</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/21938</id>
    <updated>2026-06-24T07:00:59Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Time-dependent metabolic response in sepsis severity: the influence of glucose in the disease outcome
Autor: Senna, Camila Agustina; Mul Fedele, Malena Lis; Aiello, Ignacio; Hokama, Guido; Golombek, Diego A.; Paladino, Natalia
Resumen: Sepsis is a syndrome caused by a dysregulated host response to pathogens, representing the leading cause of death from infection. Various murine models of sepsis have shown a time-dependent response based on the time of induction. Mice stimulated with high doses of bacterial lipopolysaccharide (LPS) at the end of the day exhibit a higher mortality rate (~80%) compared with those inoculated in the middle of the night (~30%). In this work, we assessed the differences in serum proteins of septic mice during the day and night. Through this proteomic study, we found significant variations in metabolic pathways, including glucose metabolism, which were associated with a better prognosis. Therefore, we studied the glucose response to LPS during the day and night. In this context, we found an early peak of LPS-induced glucose exclusively at the time of worse prognosis. We also observed a hypoglycemic response to LPS, which was independent of the time of sepsis induction. Finally, we performed a set of metabolic manipulations to study how hyperglycemia influences sepsis severity in mice. We observed that suppressing the glucose peak during the day, through metformin administration, reduced sepsis severity. In contrast, nocturnal glucose administration with LPS was rapidly metabolized and also decreased sepsis severity. In conclusion, sepsis severity may be influenced by the metabolic state at the time of the stimulus. Metabolic rhythms could lead to differences in early glucose management, affecting the outcome of this pathology.</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Machine Learning in Single-Molecule Tracking Analysis of Superresolution Optical Microscopy Data</title>
    <link rel="alternate" href="https://repositorio.uca.edu.ar/handle/123456789/21919" />
    <author>
      <name>Saavedra, Lucas A.</name>
    </author>
    <author>
      <name>Barrantes, Francisco José</name>
    </author>
    <id>https://repositorio.uca.edu.ar/handle/123456789/21919</id>
    <updated>2026-06-20T07:01:15Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Título: Machine Learning in Single-Molecule Tracking Analysis of Superresolution Optical Microscopy Data
Autor: Saavedra, Lucas A.; Barrantes, Francisco José
Resumen: Machine learning (ML) is transforming the analysis of biomolecular data, holding significant promise for improving the efficiency and accuracy of microscopy image analysis and for studying the dynamics of molecules in live cells. As data-driven approaches continue to evolve, they may eventually replace traditional statistical methods that rely on conventional analytical methods. This review examines and critically analyses the state of the art of ML techniques as applied to various levels of data supervision in the analysis of dynamic single-molecule datasets obtained using superresolution optical microscopy. Collectively encompassed under the umbrella of “nanoscopy”, these methods currently comprise targeted techniques such as stimulated emission depletion (STED) microscopy and stochastic techniques like single-molecule localization microscopies (SMLMs), comprising photoactivated localization microscopy (PALM), DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) microscopy, and minimal fluorescence photon flux (MINFLUX) microscopy. These techniques all enable the imaging of subcellular components and molecules beyond the diffraction limit, and some are additionally capable of studying their dynamics in real time, as reviewed here, using several ML techniques that facilitate motion analysis in two or three dimensions with qualitative and quantitative characterisation in the live cell. It is expected that the growing use of learning-based approaches in biological microscopy data processing will dramatically increase throughput and accelerate progress in this rapidly developing field.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
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