Go science! 3. Teacher planning and resource pack : motivation progression success.

Cumple con los requisitos de la etapa 3 de secundaria (key stage 3).Este recurso proporciona al profesor material didáctico que le ayuda a enseñar la forma de trabajar en las ciencias a través de sus principales conceptos y procesos. Incluye guías con orientaciones para actividades y preguntas que se apoyan en las lecciones del libro del alumno y tests al final de cada capítulo para los alumnos además de pruebas de evaluación para el profesor. Se acompaña de un CD-ROM, que contiene el texto del libro e incluye actividades interactivas, Powepoints y concursos.

The essential guide to lesson planning.

Este recurso ayuda a los profesores a planificar buenas lecciones en el aula, al mostrar cómo el tiempo dedicado a ello puede asegurar unas clases eficaces y productivas. Les proporciona consejos para conseguir un aprendizaje eficiente y un buen comportamiento de los alumnos, a abordar la evaluación del aprendizaje en cada lección y a reflexionar sobre éste, a utilizar los sistemas de recompensa para mantener la motivación de los estudiantes, y, también, a escribir lecciones rápidas y productivas.

100 ideas for lesson planning.

Trata de algunos de los aspectos más importantes de la enseñanza como es la planificación y preparación de las clases y también de los más difíciles de aprender. Y, aunque son temas que cada profesor elabora de forma individual, este recurso le proporciona ideas para desarrollar su propia estrategia de planificación de forma eficaz, además de sugerencias creativas para actividades en el aula.

Planning lessons and courses : designing sequences of work for the language classroom.

Recurso sobre la planificación de clases y cursos para estudiantes de inglés como lengua extranjera. La mayoría de los capítulos están organizados alrededor de preguntas que el profesor se podría hacer al planificar una lección o un curso. Cada capítulo ofrece respuestas a las preguntas planteadas o implícitas en el título del capítulo como: quiénes son los estudiantes; cuál es la lección; cómo se aprende; cómo puedo enseñar; qué materiales se pueden seleccionar; cómo empezar a trabajar en la planificación; qué actividades se pueden utilizar y adaptar.

Planning to teach science in the primary classroom : KS1 & KS2.

Recurso para ayudar a los profesores en la planificación, la enseñanza y la evaluación de las ciencias. Da ideas para elaborar las actividades en las etapas clave 1 y 2. Destaca la importancia del aprendizaje del vocabulario apropiado y da también a los alumnos la oportunidad de planificar y llevar a cabo sus propias investigaciones.

The complete guide to lesson planning and preparation.

Recurso que proporciona a los profesores asesoramiento sobre temas permanentes en la planificación y preparación de las clases, y les anima a reflexionar sobre sus puntos fuertes y sus debilidades, sus prioridades y necesidades. Ofrece ideas prácticas tomadas de una gran variedad de sectores y de muchas experiencias de profesores, padres y responsables de empresas, además de preguntas para reflexionar y ejercicios. También, utiliza la evaluación para conseguir clases más profesionales y provechosas.

Reconogsing and planning for special needs in the early years.

Recurso para que los profesionales den el apoyo adecuado a los niños pequeños con necesidades educativas especiales e identifiquen y planifiquen nuevas necesidades de cada niño que tienen bajo su cuidado. Trata observación y evaluación de las necesidades, el desarrollo físico, y cómo detectar los problemas, la comunicación, el lenguaje y la alfabetización, y cómo detectar las dificultades. Hay también estudio de casos de niños de cero a cinco años y un CD-ROM con material fotocopiable.

Towards quality-CLIL : successful planning and teaching strategies. 'Hacia un CLIL-AICLE de calidad : estrategias efectivas de planificación y enseñanza'.

Resumen basado en el de la publicación

Sample size planning for multiple correlation : reply to Shieh (2013)

Resumen tomado de la publicaci??n

Inclusive Education, Person-Centered Planning & Systems Change Challenging Permutations and Opportunities

Resumen basado en el de la publicaci??n

Building wood debris piles benefits avian seed dispersers in burned and logged Mediterranean pine forests

Salvage logging is a common practice carried out in burned forests worldwide, and intended to mitigate the economic losses caused by wildfires. Logging implies an additional disturbance occurring shortly after fire, although its ecological effects can be somewhat mitigated by leaving wood debris on site. The composition of the bird community and its capacity to provide ecosystem services such as seed dispersal of fleshy-fruited plants have been shown to be affected by postfire logging. We assessed the effects of the habitat structure resulting from different postfire management practices on the bird community, in three burned pine forests in Catalonia (western Mediterranean). For this purpose, we focused on the group of species that is responsible for seed dispersal, a process which takes place primarily during the winter in the Mediterranean basin. In addition, we assessed microhabitat selection by seed disperser birds in such environments in relation to management practices. Our results showed a significant, positive relationship between the density of wood debris piles and the abundance of seed disperser birds. Furthermore, such piles were the preferred microhabitat of these species. This reveals an important effect of forest management on seed disperser birds, which is likely to affect the dynamics of bird-dependent seed dispersal. Thus, building wood debris piles can be a useful practice for the conservation of both the species and their ecosystem services, while also being compatible with timber harvesting

Modelling, control and supervision for a class of hybrid systems

The aim of this thesis is to narrow the gap between two different control techniques: the continuous control and the discrete event control techniques DES. This gap can be reduced by the study of Hybrid systems, and by interpreting as Hybrid systems the majority of large-scale systems. In particular, when looking deeply into a process, it is often possible to identify interaction between discrete and continuous signals. Hybrid systems are systems that have both continuous, and discrete signals. Continuous signals are generally supposed continuous and differentiable in time, since discrete signals are neither continuous nor differentiable in time due to their abrupt changes in time. Continuous signals often represent the measure of natural physical magnitudes such as temperature, pressure etc. The discrete signals are normally artificial signals, operated by human artefacts as current, voltage, light etc. Typical processes modelled as Hybrid systems are production systems, chemical process, or continuos production when time and continuous measures interacts with the transport, and stock inventory system. Complex systems as manufacturing lines are hybrid in a global sense. They can be decomposed into several subsystems, and their links. Another motivation for the study of Hybrid systems is the tools developed by other research domains. These tools benefit from the use of temporal logic for the analysis of several properties of Hybrid systems model, and use it to design systems and controllers, which satisfies physical or imposed restrictions. This thesis is focused in particular types of systems with discrete and continuous signals in interaction. That can be modelled hard non-linealities, such as hysteresis, jumps in the state, limit cycles, etc. and their possible non-deterministic future behaviour expressed by an interpretable model description. The Hybrid systems treated in this work are systems with several discrete states, always less than thirty states (it can arrive to NP hard problem), and continuous dynamics evolving with expression: with Ki ¡ Rn constant vectors or matrices for X components vector. In several states the continuous evolution can be several of them Ki = 0. In this formulation, the mathematics can express Time invariant linear system. By the use of this expression for a local part, the combination of several local linear models is possible to represent non-linear systems. And with the interaction with discrete events of the system the model can compose non-linear Hybrid systems. Especially multistage processes with high continuous dynamics are well represented by the proposed methodology. Sate vectors with more than two components, as third order models or higher is well approximated by the proposed approximation. Flexible belt transmission, chemical reactions with initial start-up and mobile robots with important friction are several physical systems, which profits from the benefits of proposed methodology (accuracy). The motivation of this thesis is to obtain a solution that can control and drive the Hybrid systems from the origin or starting point to the goal. How to obtain this solution, and which is the best solution in terms of one cost function subject to the physical restrictions and control actions is analysed. Hybrid systems that have several possible states, different ways to drive the system to the goal and different continuous control signals are problems that motivate this research. The requirements of the system on which we work is: a model that can represent the behaviour of the non-linear systems, and that possibilities the prediction of possible future behaviour for the model, in order to apply an supervisor which decides the optimal and secure action to drive the system toward the goal. Specific problems can be determined by the use of this kind of hybrid models are: - The unity of order. - Control the system along a reachable path. - Control the system in a safe path. - Optimise the cost function. - Modularity of control The proposed model solves the specified problems in the switching models problem, the initial condition calculus and the unity of the order models. Continuous and discrete phenomena are represented in Linear hybrid models, defined with defined eighth-tuple parameters to model different types of hybrid phenomena. Applying a transformation over the state vector : for LTI system we obtain from a two-dimensional SS a single parameter, alpha, which still maintains the dynamical information. Combining this parameter with the system output, a complete description of the system is obtained in a form of a graph in polar representation. Using Tagaki-Sugeno type III is a fuzzy model which include linear time invariant LTI models for each local model, the fuzzyfication of different LTI local model gives as a result a non-linear time invariant model. In our case the output and the alpha measure govern the membership function. Hybrid systems control is a huge task, the processes need to be guided from the Starting point to the desired End point, passing a through of different specific states and points in the trajectory. The system can be structured in different levels of abstraction and the control in three layers for the Hybrid systems from planning the process to produce the actions, these are the planning, the process and control layer. In this case the algorithms will be applied to robotics ¡V a domain where improvements are well accepted ¡V it is expected to find a simple repetitive processes for which the extra effort in complexity can be compensated by some cost reductions. It may be also interesting to implement some control optimisation to processes such as fuel injection, DC-DC converters etc. In order to apply the RW theory of discrete event systems on a Hybrid system, we must abstract the continuous signals and to project the events generated for these signals, to obtain new sets of observable and controllable events. Ramadge & Wonham¡¦s theory along with the TCT software give a Controllable Sublanguage of the legal language generated for a Discrete Event System (DES). Continuous abstraction transforms predicates over continuous variables into controllable or uncontrollable events, and modifies the set of uncontrollable, controllable observable and unobservable events. Continuous signals produce into the system virtual events, when this crosses the bound limits. If this event is deterministic, they can be projected. It is necessary to determine the controllability of this event, in order to assign this to the corresponding set, , controllable, uncontrollable, observable and unobservable set of events. Find optimal trajectories in order to minimise some cost function is the goal of the modelling procedure. Mathematical model for the system allows the user to apply mathematical techniques over this expression. These possibilities are, to minimise a specific cost function, to obtain optimal controllers and to approximate a specific trajectory. The combination of the Dynamic Programming with Bellman Principle of optimality, give us the procedure to solve the minimum time trajectory for Hybrid systems. The problem is greater when there exists interaction between adjacent states. In Hybrid systems the problem is to determine the partial set points to be applied at the local models. Optimal controller can be implemented in each local model in order to assure the minimisation of the local costs. The solution of this problem needs to give us the trajectory to follow the system. Trajectory marked by a set of set points to force the system to passing over them. Several ways are possible to drive the system from the Starting point Xi to the End point Xf. Different ways are interesting in: dynamic sense, minimum states, approximation at set points, etc. These ways need to be safe and viable and RchW. And only one of them must to be applied, normally the best, which minimises the proposed cost function. A Reachable Way, this means the controllable way and safe, will be evaluated in order to obtain which one minimises the cost function. Contribution of this work is a complete framework to work with the majority Hybrid systems, the procedures to model, control and supervise are defined and explained and its use is demonstrated. Also explained is the procedure to model the systems to be analysed for automatic verification. Great improvements were obtained by using this methodology in comparison to using other piecewise linear approximations. It is demonstrated in particular cases this methodology can provide best approximation. The most important contribution of this work, is the Alpha approximation for non-linear systems with high dynamics While this kind of process is not typical, but in this case the Alpha approximation is the best linear approximation to use, and give a compact representation.

The undergraduate level (1st study cycle) as a fundamental platform/ standard for the development of Urban and Regional Planning in higher education programs

The ongoing reforms, which were introduced under the Bologna Process and have already been extended outside of Europe , are a unique opportunity for reinforcing and structuring a common platform of understanding among members, based on the full time undergraduate courses in ( Urbanismo) Urban and Regional Planning. The training programs at this 1st cycle level, will obviously continue with the 2nd and 3rd cycles (Bachelor's Degree, Master's Degree and PhD Degree or 3+2+3 years). The training programs at this full time 1st cycle level, can also becomes the framework of understanding for the development of research in the urban fields at national and international levels.

Appeal to the Universities for the development of Teaching and Research in the areas of Urban Planning in the CPLP countries

Work document prepared at the Universidade Lusófona de Humanidades e Tecnologias in its role as Consulting Observer attributed by the Council of Ministers of the CPLP gathered in Bissau for the 11th General Meeting on 16. and 17. July, 2006.

Introduction to airline network planning

Contents 1.What kind of airlines? 2. Network Planning – Data – Generic / traditional – Low cost 1.What kind of airlines? 2. Network Planning – Data – Generic / traditional – Low cost