Dinamica de la epidemia de wssv. parte 2: análisis a 33 ºc

DINAMICA DE LA EPIDEMIA DE WSSV. Parte 2: Análisis a 33 ºCLa dinámica de una enfermedad infecciosa puede ser estudiada mediante modelos matemáticos que describen la variación en tiempo del estado de salud de los individuos en una población (número de individuos susceptibles o no infectados, infectados, enfermos y muertos)

Climate-smart agriculture appreciation event for the members of the Philippine Network of Environmental Journalists

The appreciation event was organized to provide the members of the media with the basic concepts about the effects of climate change to agriculture, and of the contribution of agriculture to climate change; to facilitate collection stories on field-based experiences through interactions with farmers who have adopted practices that helped them adapt to climate risks; and to showcase climate smart agriculture approaches in demo farms, school garden, and farmers field. Through this activity, they can also help IIRR extend its reach and scale-out learnings from various CSA initiatives. Once available, these media products will be collated

Propuesta de una variable de alerta de producción: indice de producción y manejo (ipm)

Propuesta de una variable de alerta de producción: Indice de Producción y Manejo (IPM)La comparación de los niveles de producción, entre camaroneras y en una misma camaronera a lo largo del tiempo, utilizando el rendimiento (lb/ha), la supervivencia (%) o la densidad de siembra (animales/m2) no es la más adecuada, debido a las diferencias en las prácticas de manejo

Propuesta de una variable de alerta de producción: indice de producción y manejo (ipm)

Propuesta de una variable de alerta de producción: Indice de Producción y Manejo (IPM)La comparación de los niveles de producción, entre camaroneras y en una misma camaronera a lo largo del tiempo, utilizando el rendimiento (lb/ha), la supervivencia (%) o la densidad de siembra (animales/m2) no es la más adecuada, debido a las diferencias en las prácticas de manejo

Training on Establishing Climate-Smart Villages (CSVs) in Myanmar to Improve Food Security and Resilience in Agriculture

This training on establish Climate-Smart Villages (CSVs) in Myanmar was a collaborative effort of the Food Security Working Group (FSWG) and the Myanmar Program of the International Institute of Rural Reconstruction. This was supported in part by donors of the FSWG and the International Development Research Center-Canada through the 3-year action research project of IIRR-Myanmar in 4 CSVs. The overall goal of this training was to increase the understanding of the concepts, processes and tools in implementing of CSVs as an approach to build climate resilience among small-holder farmers, achieve nutrition security and gender equality in Myanmar. It was aimed for local NGOs and members of the Food Security Working Group (FSWG), Myanmar’s largest alliance of development organizations advocating for food security and sustainable livelihoods in Myanmar. This training was part of IIRR-Myanmar’s out-scaling pathway by engaging and building capacities of local civil societies to replicate the CSV approach as platforms to promote climate smart agriculture in Myanmar

Process Optimization and Downscaling of a Single Electron Single Dot Memory

This paper presents the process optimization of a single-electron nanoflash electron memory. Self-aligned single dot memory structures have been fabricated using a wet anisotropic oxidation of a silicon nanowire. One of the main issue was to clarify the process conditions for the dot formation. Based on the process modeling, the influence of various parameters (oxidation temperature, nanowire shape) has been investigated. The necessity of a sharp compromise between these different parameters to ensure the presence of the memory dot has been established. In order to propose an aggressive memory cell, the downscaling of the device has been carefully studied. Scaling rules show that the size of the original device could be reduced by a factor of 2. This point has been previously confirmed by the realization of single-electron memory devices

A Survey on Object Classification using Convolutional Neural Networks

Object recognition has been one of the main tasks in computer vision. While feature detection and classification have been generally useful, an inquiry has been made to learning features suited to the task. One such method is the use of convolutional neural networks. This uses an architecture that combines elements of convolution, subsampling, and backpropagation. This paper gives an overview on the development, the use, and variations in using convolutional neural networks as an algorithm for object recognition tasks