The main objective of this research was to explore, from a reflexivity approach, the current state of Deep learning techniques for automatic detection of fake news on the Internet, analyzing the most important Deep learning algorithms and studies on their effectiveness in detecting distrustful information. The research methodology employed was bibliographic, documentary and descriptive. The information was collected from several scientific articles provided by indexed journals and web platforms, using keywords such as "fake news", "Deep learning" and "neural networks" for the compilation. As a result of this research, it was concluded that Deep learning techniques present a better performance than conventional methods and will be of great importance in the future of war against fake news due to their potential in automatic detection.
Uno de los principales problemas de los últimos años es la contaminaciónambiental. Producto de las actividades humanas, se genera la mayor parte de los contaminantes que terminan en algún cuerpo de agua, incluyendo todos los ruidos de origen humano generados dentro de ambientes marinos como producto de diversas actividades industriales, lo que se conoce como contaminación acústica submarina. En ese contexto, el presente artículo buscó explorar el impacto de la contaminación acústica submarina sobre la vida y desarrollo de las criaturas marinas y las formas de mitigación que están siendo implementadas para combatir esta situación. Para ello, se realizó una investigación bibliográfica, en la cual se revisaron bases de datos para recopilar información relevante acerca del tema. La investigación realizada halló que, aunque en los últimos años han aumentado las actividades industriales en altamar que resultan provechosas para el desarrollo de la economía mundial, durante mucho tiempo se ignoró el gran impacto del ruido sobre el desarrollo de la vida marina, causando desde cambios en el comportamiento, hasta daños a su integridad física, e interfiriendo en actividades diarias importantes como la comunicación, navegación o su supervivencia. Se concluyó que es importante priorizar los estudios orientados a obtener información sobre la naturaleza del ruido submarino, la capacidad auditiva de los diferentes seres marinos y los efectos del ruido submarino en ellos para implementar leyes y regulaciones eficientes y preservar adecuadamente los sonidos del océano.
This chapter seeks to explore the current state of 3D printing technology in bone tissue engineering from the reflectibility approach, analyzing in more detail what this field consists of, as well as the materials and techniques mainly used nowadays in 3D printing. Likewise, the potential of this technique in the future is analyzed with the possibilities of improvement in the short and long terms. The research methodology used was non-experimental, documentary, and descriptive. The information was collected from indexed journals and web platforms using keywords such as “bone tissue engineering” and “3D printing” in search engines. Therefore, this chapter represents a very important and necessary source of bibliographic information to be able to carry out new research in this field.
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