Progress in 3D Bioprinting Technology for Osteochondral Regeneration

Osteochondral injuries can lead to osteoarthritis (OA). OA is characterized by the progressive degradation of the cartilage tissue together with bone tissue turnover. Consequently, joint pain, inflammation, and stiffness are common, with joint immobility and dysfunction being the most severe symptoms. The increase in the age of the population, along with the increase in risk factors such as obesity, has led OA to the forefront of disabling diseases. In addition, it not only has an increasing prevalence, but is also an economic burden for health systems. Current treatments are focused on relieving pain and inflammation, but they become ineffective as the disease progresses. Therefore, new therapeutic approaches, such as tissue engineering and 3D bioprinting, have emerged. In this review, the advantages of using 3D bioprinting techniques for osteochondral regeneration are described. Furthermore, the biomaterials, cell types, and active molecules that are commonly used for these purposes are indicated. Finally, the most recent promising results for the regeneration of cartilage, bone, and/or the osteochondral unit through 3D bioprinting technologies are considered, as this could be a feasible therapeutic approach to the treatment of OA.This research was funded by the BASQUE COUNTRY GOVERNMENT/EUSKO JAURLARITZA (Department of Education, University and Research, Consolidated Groups IT907- 16). Author S.R.-A. thank the BASQUE COUNTRY GOVERNMENT for the granted fellowship (PRE_2021_2_0153)

Cognitive reserve and its correlates in child and adolescent offspring of patients diagnosed with schizophrenia or bipolar disorder

Aim: To analyze cognitive reserve (CR) in child and adolescent offspring of patients diagnosed with schizophrenia (SZ-off) or bipolar disorder (BD-off) and compare them with a group of community controls (CC-off). We also aimed to investigate whether there was an association between CR and clinical and neuropsychological variables according to group. Methods: The study included 46 SZ-off, 105 BD-off and 102 CC-off. All participants completed assessments regarding CR and clinical, neuropsychological and psychosocial functioning. CR was measured with a proxy based on premorbid intelligence, parental occupational level, educational attainment, developmental milestones and sociability. The clinical assessment included the Kiddie Schedule for Affective Disorders and Schizophrenia, Present and Lifetime, the Semi-structured Interview for Prodromal Syndromes, and the Global Assessment Functioning scale. The neuropsychological assessment included measures of executive functioning, attention, verbal memory, working memory and processing speed. Results: SZ-off showed a lower level of CR compared to BD-off and CC-off, while BD-off showed an intermediate level of CR between SZ-off and CC-off. Moreover, an association between higher CR and less lifetime psychopathology, fewer prodromal psychotic symptoms, higher psychosocial functioning, and a higher working memory score was observed in all groups, but it was stronger in SZ-off. Conclusions: CR seemed to be associated with psychopathology, clinical symptoms, psychosocial functioning, and some cognitive functions. SZ-off appeared to benefit more from a higher CR, therefore it could be considered a protective factor against the development of clinical symptomatology and cognitive impairment

Modelo ECR aplicado a la industria láctea Colombiana

273 Páginas.En un mundo globalizado en donde los consumidores tienen poder de decisión, las industrial nacionales e internacionales deben estar preparadas para definir y redefinir sus estrategias acorde a las necesidades cambiantes del mercado, se hace necesario que modelos como ECR “Enfoque Conducta Resultado”, le permita a las industrias analizar sus acciones pasadas, presentes y futuras respecto al comportamiento de sus clientes y competidores, con el objetivo de definir y establecer cuál es la mejor estrategia a elegir. Por lo anterior, el presente trabajo de grado pretende analizar por medio del modelo ECR la industria lechera de Colombia tomando como referencias empresas tales como ALPINA Productos Alimenticios S.A., ALQUERIA S.A. y la Cooperativa Lechera Antioqueña COLANTA LTDA

The interplay between functioning problems and symptoms in first episode of psychosis: an approach from network analysis

The relationship between psychotic symptoms and global measures of functioning has been widely studied. No previous study has assessed so far the interplay between specific clinical symptoms and particular areas of functioning in first-episode psychosis (FEP) using network analysis methods. A total of 191 patients with FEP (age 24.45 ± 6.28 years, 64.9% male) participating in an observational and longitudinal study (AGES-CM) comprised the study sample. Functioning problems were assessed with the WHO Disability Assessment Schedule (WHODAS), whereas the Positive and Negative Syndrome Scale (PANSS) was used to assess symptom severity. Network analysis were conducted with the aim of analysing the patterns of relationships between the different dimensions of functioning and PANSS symptoms and factors at baseline. According to our results, the most important nodes were “conceptual disorganization”, “emotional withdrawal”, “lack of spontaneity and flow of conversation”, “delusions”, “unusual thought content”, “dealing with strangers” and “poor rapport”. Our findings suggest that these symptoms and functioning dimensions should be prioritized in the clinical assessment and management of patients with FEP. These areas may also become targets of future early intervention strategies, so as to improve quality of life in this populationThis work was supported by the Madrid Regional Government (R&D activities in Biomedicine (grant number S2017/BMD-3740 - AGES-CM 2-CM)) and Structural Funds of the European Union. Ana Izquierdo’s work is supported by the PFIS predoctoral program (FI17/00138) from the Instituto de Salud Carlos III (Spain) and co-funded by the European Union (ERDF/ESF, "A way to make Europe”/ “Investing in your future”) and The Biomedical Research Foundation of La Princesa University Hospital. Angela Ib´a˜nez thanks the support of CIBERSAM and of the Spanish Ministry of Science, Innovation and Universities. Instituto de Salud Carlos III (PI16/00834 and PI19/01295) co-financed by ERDF Funds from the European Commission. Covadonga M. Díaz-Caneja holds a Juan Rod´es Grant from Instituto de Salud Carlos III (JR19/00024). Celso Arango was supported by the Spanish Ministry of Science and Innovation. Instituto de Salud Carlos III (SAM16PE07CP1, PI16/02012, PI19/ 024), co-financed by ERDF Funds from the European Commission, “A way of making Europe”, CIBERSAM. Madrid Regional Government (B2017/BMD-3740 AGES-CM-2), European Union Structural Funds. European Union Seventh Framework Program under grant agreements FP7-4-HEALTH-2009-2.2.1-2-241909 (Project EU-GEI), FP7- HEALTH- 2013-2.2.1-2-603196 (Project PSYSCAN) and FP7- HEALTH-2013- 2.2.1-2-602478 (Project METSY); and European Union H2020 Program under the Innovative Medicines Initiative 2 Joint Undertaking (grant agreement No 115916, Project PRISM, and grant agreement No 777394, Project AIMS-2-TRIALS), Fundaci´on Familia Alonso, Fundaci´on Alicia Koplowitz and Fundaci´on Mutua Madrile˜n

La era de la transformación digital de las organizaciones y su impacto en la competitividad

En un esfuerzo desarrollado por distintos autores y grupos de investigación para explorar diversos aspectos asociados al nuevo contexto que plantean la era digital, el termino cuarta revolución industrial o revolución 4.0 ha empezado a ser utilizado con frecuencia para denominar un proceso que tal como menciona Klaus Schwab (2016) se diferencia de la tercera revolución industrial o revolución digital iniciada en los años 80 del siglo XX, por tres elementos: velocidad (crecimiento exponencial), amplitud y profundidad (no solo está cambiando el qué y el cómo, sino también el quiénes) y el impacto en los sistemas (transformación en los sistemas productivos, sociales, empresariales). Para la academia es un reto comprender de manera acertada las transformaciones que se plantean en distintos escenarios como resultado del proceso en mención, con el objetivo de realizar aportes conceptuales, teóricos y prácticos útiles para los distintos actores interesados en identificar oportunidades y prever los desafíos de la revolución 4.0. Este libro recoge el resultado de dichas investigaciones. Debido a la riqueza y variedad en las temáticas, estos trabajos se pueden agrupar en cuatro grandes áreas: aportes académicos y al conocimiento; nuevas tecnologías; competitividad, y tendencias del mercadeo. (apartes del texto)Contiene: Capítulo 1. Gestión tecnológica: Fundamentos teóricos que facilitan su desarrollo y la medición en la empresa / Yiset Lorena Alvarado Peña, Melva Inés Gómez Caicedo -- Capítulo 2. Innovación, tecnológica robótica e inteligencia artificial marcan la educación y a los profesiones del futuro / Luz Eneida Moreno -- Capítulo 3. Brecha entre la industria y la academia / Iván Darío Ladino Vega, Jairo Ignacio Rodríguez Osorno, Walder de Jesús Casanova García -- Capítulo 4. Un chatbot como herramienta de apoyo al reclutamiento de personal en las empresas / Cecilia Ávila, Nicolas Vaca, Yeimy Roa -- Capítulo 5. Predicción de la satisfacción de los clientes de restaurantes mediante inteligencia artificial (IA) / Teresa Amanda Chávez de Menesses, María Andreína Moros Ochoa, Jenny-Paola Lis-Gutiérrez, Gilmer Yovanni Castro Nieto, Cristhian Salinas-Ortegón -- Capítulo 6. Determinantes de la competitividad en Colombia: ¿De las exportaciones tradicionales de commodities a bienes manufacturados? / Irma Liliana Vásquez Merchán -- Capítulo 7. Las redes sociales en la promoción de destinos de bienestar, una mirada al termalismo / Julia Rodas Quintero, Sandra Patricia Cote Daza, Jesús Alexis Barón Chivara -- Capítulo 8. Derechos de autor en el escenario de la revolución 4.0: ¿Cuánto saben los bogotanos? / Cristhian Salinas Ortegón, Jenny Paola Lis Gutiérrez, Mercedes Gaitán Angulo, Teresa Amanda Chávez de Menesses -- Capítulo 9. Sistema experto basado en reglas para la selección, evaluación y diagnóstico de iniciativas de innovación social (IS) / Jenny Cubillos Díaz, Anderson Quintero, Jenny Paola Lis Gutiérrez -- Capítulo 10. Identificación de los factores que inciden en las proyecciones financieras de las organizaciones floricultoras de Cundinamarca / Vladimir Camacho Cuineme -- Capítulo 11. Desempeño en servicios intensivos en conocimiento: un análisis de su comportamiento en países latinoamericanos / Diana Geraldine Jiménez García, Oscar Fernando Castellanos Domínguez.Fundación Universitaria Los Libertadore

Cualificación en los Objetivos establecidos en la Agenda 2030 de estudiantes y profesores en el Máster Universitario en Profesor de Educación Secundaria Obligatoria y Bachillerato, Formación Profesional y Enseñanza de Idiomas (MUPES)

Memoria ID2022-157 Ayudas de la Universidad de Salamanca para la innovación docente, curso 2022-2023

El reto de la inclusión de los Objetivos de Desarrollo Sostenible en la formación inicial de profesores de secundaria: creación del MOOC curso cero sobre educación y ODS, inclusión en asignaturas y en trabajos fin de máster

Memoria ID-041. Ayudas de la Universidad de Salamanca para la innovación docente, curso 2021-2022

Visión estereoscópica V3D

La visión estereoscópica se basa en la visión binocular (dos ojos) gracias a la cual se produce la sensación de tres dimensiones. Nuestro proyecto está enfocado en el análisis y obtención de características que poseen las imágenes estéreo. El procesamiento de estas imágenes, permiten que un robot (ó computador) pueda reconstruir el entorno que le rodea tridimensionalmente. Con dicha reconstrucción del terreno, un robot sería capaz de poder detectar y esquivar los obstáculos que se puede encontrar en su camino, pudiendo así planificar distintas rutas seguras que le lleven hasta su objetivo. [ABSTRACT] Stereoscopic vision is based on binocular vision (both eyes) that makes the feeling of three dimensions. Our project is focused on the analysis and extraction of features that have the stereo images. The processing of these images, allowing a robot (or computer) can reconstruct the environment that surrounds three dimensions. With the reconstruction of the ground, a robot would be able to detect and dodge obstacles that can be found in its path, being able to plan different secure routes to take to its objective

Quantitative analysis of methane monooxygenase (MMO) explains process robustness in continuous and feast-famine bioreactors treating methane

Producción CientíficaThe ability of methanotrophs to rapidly respond to intentional or accidental stress conditions caused by operational failures or process fluctuations is of utmost importance to guarantee the robustness of CH4 abatement biotechnologies. In this study, the performance of a continuous and two feast-famine (5:5 days feast-famine cycles) stirred tank reactors treating diluted CH4 emissions (4–5% v/v) was comparatively assessed for 149 days. The robustness of the three bioreactors towards a 5 days CH4 deprivation episode was thoroughly evaluated at a molecular level (pmoA gene expression level) and correlated to macroscopic process performance. The bioreactors recovered their steady-state abatement performance (in terms of CH4 elimination capacity and CO2 production rate) within 1.5–2 h following CH4 supply resumption concomitantly with a maximum in pmoA gene expression, regardless of the previous operational mode. However, while methanotrophs from the continuous unit maintained higher basal levels of pmoA expression as a strategy for a rapid CH4 metabolism initiation, the strategy of the feast-famine adapted-methanotrophs consisted on a more accurate regulation of their pmoA transcripts levels along with a higher and/or more rapid induction of the pmoA gene by CH4 availability.Ministerio de Economía, Industria y Competitividad- FEDER (Proyect CTM2015-70442-R and Red Novedar)Juan de la Cierva Program (IJCI-2014-19432)Junta de Castilla y León (programa de apoyo a proyectos de investigación - Ref. Project UIC71