Calidad de atención brindada a los pacientes que asisten a los Departamentos de Radiología e Imágenes en los Hospitales Nacionales del Area Metropolitana de San Salvador, en el periodo comprendido de Febrero a Julio 2017

La calidad de atención en salud no solo es un proceso en el cual, el profesional de la salud atiende a una persona o grupo de personas, en un determinado espacio y tiempo, indagando o investigando las causas por las cuales estas han enfermado y buscar la cura de sus padecimientos, sino que es todo un proceso debidamente estructurado, en el que intervienen una diversidad de aspectos sociales, culturales, éticos, que de una u otra forma moldean el carácter de todos aquellos que intervienen en el proceso de la búsqueda de la salud de la población indistinguiblemente a la rama de la medicina que este practique, ya que el objetivo primordial siempre debe ser el brindarle salud a las personas, sin ninguna distinción, ni bajo ninguna preferencia, alcanzando su satisfacción, tomando en consideración aspectos básicos tales como, el trato que se le brinda a los pacientes dentro de las instalaciones, la forma como se le expresan las ideas, el tono de voz con que se le habla, el tiempo que este debe esperar para ser atendido, el respeto a su privacidad e incluso el contacto físico que el personal de salud ejerza sobre él, deben de formar parte de un comportamiento ético y profesional para no incomodarlo y así evitar futuros inconvenientes

NeuroVP:A System-Level Virtual Platform for Integration of Neuromorphic Accelerators

Executing neural network (NN) applications on general-purpose processors result in a large power and performance overhead, due to the high cost of data movement between the processor and the main memory. Neuromorphic computing systems based on memristor crossbars, perform the NN main operation i.e., vector-matrix multiplications (VMM) in an efficient way in the analog domain. Thus, they circumvent the costly energy overhead of its digital counterpart. It can be expected that neuromorphic systems will be used initially as complements to current high-performance systems rather than as a replacement. This paper presents NeuroVP, a virtual platform integrating a neuromorphic accelerator, developed in SystemC that can model functionality, timing, and power consumption of the components integrating the system. Using NeuroVP to evaluate performance and power consumption at the electronic system level (ESL), it is corroborated that the execution of NN applications with a neuromorphic accelerator yields of up to 46x higher power efficiency and 26x speedup relative to a general-purpose computing system. </p

NeuroVP: A System-Level Virtual Platform for Integration of Neuromorphic Accelerators

Executing neural network (NN) applications on general-purpose processors result in a large power and performance overhead, due to the high cost of data movement between the processor and the main memory. Neuromorphic computing systems based on memristor crossbars, perform the NN main operation i.e., vector-matrix multiplications (VMM) in an efficient way in the analog domain. Thus, they circumvent the costly energy overhead of its digital counterpart. It can be expected that neuromorphic systems will be used initially as complements to current high-performance systems rather than as a replacement. This paper presents NeuroVP, a virtual platform integrating a neuromorphic accelerator, developed in SystemC that can model functionality, timing, and power consumption of the components integrating the system. Using NeuroVP to evaluate performance and power consumption at the electronic system level (ESL), it is corroborated that the execution of NN applications with a neuromorphic accelerator yields of up to 46x higher power efficiency and 26x speedup relative to a general-purpose computing system

Nebivolol Attenuates Redox-Sensitive Glomerular and Tubular Mediated Proteinuria in Obese Rats

Data highlight a shift in our understanding on the origins of proteinuria in early diabetic kidney disease