A framework for analysing the adoption of New Zealand pastoral farming systems in central Veracruz State, Mexico : a thesis presented in partial fulfilment of the requirements for the degree of Master of Agricultural Science in Farm Management at Massey University

Tropical areas of developing countries have significant potential for increased food production. In the case of Mexico, an important economic activity in the tropics is livestock production based on pasture. Tropical regions represent 25% of the total area of Mexico and support more than 50% of the country's cow production. Historically, however, animal production in Mexican, and other tropical areas, has been low. Low pasture utilisation, and associated poor herbage quality, is one factor that contributes to poor animal performance in the tropics. This situation contrasts with the success of New Zealand pastoral systems, which in comparative terms have been able to obtain high levels of animal production and efficient use of pasture. Differences in pasture productivity (both in quality and quantity) and social and economic conditions between the Mexican tropics and New Zealand are large. Nevertheless it was proposed that some of the pastoral farming methods used in New Zealand, could be adapted to the conditions of tropical farmers in Mexico, particularly in relation to effective planning and control of the farming system. To test this hypothesis, the consequences of implementing some of New Zealand's pastoral farming techniques under tropical conditions in Central Veracruz State were explored by developing a spreadsheet model to simulate local farming systems. The model included linked submodels for pasture growth and quality, livestock transactions, milk production and enterprise gross margins. The effect of improved farming systems of milk output and cash returns were evaluated relative to the average levels of performance currently achieved from a medium-sized farm in the Central region of Veracruz State in Mexico. Straight forward changes in the design of the farming system, such as synchronising calving with the pattern of pasture growth rather than year-round calving, would significantly affect milk production and cash returns to the farm family. The modelling process was seriously constrained by the lack of farm-level data on pasture production and animal performance. Nevertheless, the model framework clearly identifies which data should be collected, and priority should now be given to assembling these data so simulation decision support models such as that developed in this study, can be effectively used to plan improved farming systems. Keywords: tropical agricultural, Mexico, farming systems, spreadsheet model

Consultas populares y el desarrollo de los proyectos minero energéticos en Colombia

Artículo de investigaciónEl presente artículo expone los posibles escenarios que pueden presentarse debido a los efectos que resultan de las consultas populares obligatorias para el desarrollo de los proyectos minero energéticos en el país ¿Cuáles son los posibles escenarios que pueden derivarse de las consultas populares obligatorias para el desarrollo de los proyectos minero energéticos?40 p.INTRODUCCIÓN 1. Consulta popular 2. Actividades extractivas en Colombia 3. Colisión derechos colectivos VS crecimiento económico por actividad minera 4. Conclusiones 5. ReferenciasPregradoAbogad

Point to point control design for the three-link planar robot

In this paper we design a control for a planar robot arm with three links in the absence of external forces. We begin with an introduction to the physical system and develop the equations of motion from conservation laws. After de ning the control goal, we introduce techniques to study non-linear control systems. A control for the three-link planar robot arm in free space is developed using linearization by prolongations. We nish this paper with simulations of the proposed control and verifying that the control goal is ful lled2020/202

El lazo de amor en las psicosis: los amores quiméricos de Gérard de Nerval

El presente trabajo aborda la singularidad de los lazos de amor que atraviesan la vida del escritor francés Gèrard de Nerval (1808-1855). La vida y obra nervaliana se destacan por la exaltación y relevancia que cobra en ellas la figura de la mujer mediante la búsqueda dolorosa, mística y eterna de lo femenino encarnado en distintas mujeres reales y ficticias que pueblan su mundo y en el que se intentará rastrear su modalidad singular de tratamiento al Otro sexo.The present work approaches the singularity of the bonds of love that cross the life of the french writer Gèrard de Nerval (1808-1855). The life and work nervaliana are outlined for the exaltation and relevancy that he receives in them, the figure of the woman across the painful, mystical and eternal search of the flesh-colored feminine thing in different royal and fictitious women who populate his world, and in that one will try to trace his singular modality of treatment to Another sex.Mesas autoconvocadas: Psicoanálisis - Psicosis en el lazo social: el valor de la obra artística en la creación de lazos en Kusama, Nerval, Munch, Artaud y PessoaFacultad de Psicologí

Hybridization of evolutionary algorithms and local search by means of a clustering method

This paper presents a hybrid evolutionary algorithm (EA) to solve nonlinear-regression problems. Although EAs have proven their ability to explore large search spaces, they are comparatively inefficient in fine tuning the solution. This drawback is usually avoided by means of local optimization algorithms that are applied to the individuals of the population. The algorithms that use local optimization procedures are usually called hybrid algorithms. On the other hand, it is well known that the clustering process enables the creation of groups (clusters) with mutually close points that hopefully correspond to relevant regions of attraction. Local-search procedures can then be started once in every such region. This paper proposes the combination of an EA, a clustering process, and a local-search procedure to the evolutionary design of product-units neural networks. In the methodology presented, only a few individuals are subject to local optimization. Moreover, the local optimization algorithm is only applied at specific stages of the evolutionary process. Our results show a favorable performance when the regression method proposed is compared to other standard methods

Implementación de un Sistema de Gestión de Riesgos Laborales en una Empresa (X), dedicada a la realización de trabajos forestales, basado en la norma ISO 45001:2018

El contenido del presente documento pretende promover la seguridad y salud de las empresas del sector forestal, a través de la implementación de un sistema de gestión en base a la legislación vigente y a la norma ISO 45001:2018, permitiendo integrar y mejorar de forma continua y eficaz, la actividad preventiva en todos los niveles de la empresa, favoreciendo la consecución de los objetivos propuestos.Departamento de Ingeniería Agrícola y ForestalMáster en Ingeniería de Monte

Proyecto de repoblación forestal productora de Pinus Sylvestris en Arroyo de Salas (Burgos), polígono 18, parcela 6137, con una superficie de 31,35 ha.

El proyecto trata de una repoblación forestal situada en el término municipal de Salas de los Infantes, perteneciente a la provincia de Burgos. La zona de estudio se encuentra desarbolada, debido en gran parte a un sobrepastoreo degradando el ecosistema encontrándose en sus etapas de recesión. Debido a estos acontecimientos, el paisaje se encuentra dominado por matorral bajo, produciendo pocos beneficios para los habitantes de la zona. Por estos motivos, se va a llevar a cabo una repoblación de función productora, protectora y paisajística para aumentar los beneficios obtenidos por los vecinos y mejorar el ecosistema y con ello la biodiversidad de la zona. La especie utilizada para la repoblación, será de Pinus sylvestris, ya que existen repoblaciones de esta especie cercanas y de buen desarrollo entre otras causas que motivan la elección de esta especie.Grado en Ingeniería Forestal y del Medio Natura

Cooperative coevolution of artificial neural network ensembles for pattern classification

This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative environments. Although theoretically, a single neural network with a sufficient number of neurons in the hidden layer would suffice to solve any problem, in practice many real-world problems are too hard to construct the appropriate network that solve them. In such problems, neural network ensembles are a successful alternative. Nevertheless, the design of neural network ensembles is a complex task. In this paper, we propose a general framework for designing neural network ensembles by means of cooperative coevolution. The proposed model has two main objectives: first, the improvement of the combination of the trained individual networks; second, the cooperative evolution of such networks, encouraging collaboration among them, instead of a separate training of each network. In order to favor the cooperation of the networks, each network is evaluated throughout the evolutionary process using a multiobjective method. For each network, different objectives are defined, considering not only its performance in the given problem, but also its cooperation with the rest of the networks. In addition, a population of ensembles is evolved, improving the combination of networks and obtaining subsets of networks to form ensembles that perform better than the combination of all the evolved networks. The proposed model is applied to ten real-world classification problems of a very different nature from the UCI machine learning repository and proben1 benchmark set. In all of them the performance of the model is better than the performance of standard ensembles in terms of generalization error. Moreover, the size of the obtained ensembles is also smaller