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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
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Área de la Ciencia:

  • Microbiología
  • Biología Computacional
  • Biotecnología

Sus antecedentes:

  • El desarrollo de bioproductos microbianos requiere la comprensión de la estabilidad y viabilidad celular durante el almacenamiento.
  • Trichoderma spp. son microorganismos valiosos con aplicaciones en diversos bioproductos.
  • Las plantas nativas del Cerrado Piauí albergan diversas comunidades microbianas.

Objetivo del estudio:

  • Evaluar la viabilidad de cepas de Trichoderma spp. encapsuladas del Cerrado Piauí.
  • Integrar técnicas de microencapsulación con modelado computacional para la evaluación de la estabilidad.
  • Explorar el potencial de las redes neuronales artificiales en la predicción de la viabilidad microbiana a lo largo del tiempo.

Principales métodos:

  • Microencapsulación de Trichoderma spp. mediante gelificación iónica en una matriz de alginato de sodio.
  • Monitorización de la viabilidad fúngica mediante siembra y recuento de conidios durante 60 días.
  • Entrenamiento de una Red Neuronal Artificial de Perceptrón Multicapa (MLP) con técnicas específicas de regularización y dropout.

Principales resultados:

  • Las cepas UFPI07, UFPI10, UFPI11 y UFPI16 demostraron una viabilidad superior (>7 log UFC mL⁻¹).
  • Las cepas UFPI06 y UFPI18 mostraron una disminución más significativa de la viabilidad.
  • El modelo MLP proporcionó proyecciones exploratorias de tendencias microbianas más allá del período experimental.

Conclusiones:

  • La combinación de microencapsulación y aprendizaje automático ofrece una herramienta prometedora para estimar el comportamiento microbiano temporal.
  • Este enfoque integrado puede ayudar a optimizar las formulaciones de bioproductos y reducir los costos experimentales.
  • Representa un avance metodológico exploratorio para la microbiología predictiva y el desarrollo de bioproductos.