Jmodels: Java models of earth system regulation

The JModel suite consists of a number of models of aspects of the Earth System. They can all be run from the JModels website. They are written in the Java language for maximum portability, and are capable of running on most computing platforms including Windows, MacOS and Unix/Linux. The models are controlled via graphical user interfaces (GUI), so no knowledge of computer programming is required to run them. The models currently available from the JModels website are: Ocean phosphorus cycle Ocean nitrogen and phosphorus cycles Ocean silicon and phosphorus cycles Ocean and atmosphere carbon cycle Energy radiation balance model (under development) The main purpose of the models is to investigate how material and energy cycles of the Earth system are regulated and controlled by different feedbacks. While the central focus is on these feedbacks and Earth System stabilisation, the models can also be used in other ways. These resources have been developed by: National Oceanography Centre, Southampton project led by Toby Tyrrell and Andrew Yool, focus on how the Earth system works.

Models of Learning and Motivation

A brief skim through educational theory intended for students registered on a single module in Technology Enhanced Learning. Startes with Blooms taxonomy, travles through instructivism and constructivism and on to theories of motivation/

Subchronic 3, 4-methylenedioximethamphetamine (mdma) reverts anxiety induced by chronic mild stress

Here we report the effects of subchronic 3, 4-Methylenedioximethamphetamine (MDMA) on the elevated plus-maze, a widely used animal model of anxiety. Rats exposed to a mild chronic stress (MCS) protocol received intracerebroventricular microinjections of the selective serotonin reuptake inhibitor (SSRI) – fluoxetine (2.0ug/ul) or 3, 4-Methylenedioximethamphetamine (MDMA, 2.0ug/ul) for seven days. On the eighth day rats were tested in the elevated plus-maze. Our results showed that sub-chronic MDMA interacted with MCS leading to a decrease in anxiety-related behaviors including: percentage of open arms entries (F[2,26]=4.00; P=0.031), time spent in the open arms (F[2,26]=3.656; P=0.040) and time spent in the open arms extremities (F[2,26]=5.842; P=0.008). These results suggest a potential effect of MDMA in the reversion of the emotional significance of aversive stimuli.

Models of teaching foreign languages to young children. 'Modelos de enseñanza de lenguas extranjeras en Educación Infantil'.

Resumen tomado del autor. Resumen también en francés e inglés

Bisky bats and pussy cats : the animal nonsense of Edward Lear.

Colección de poemas que tratan de animales, a veces, absurdos, y disfrazados, también, de forma absurda, rodeados asimismo, de objetos absurdos.

Identi???cation of degrees of anxiety in children with three- and ???ve-face facial scales

Resumen tomado de la publicaci??n

Visual Object Recognition Using Deformable Models of Vehicles

This workshop paper reports recent developments to a vision system for traffic interpretation which relies extensively on the use of geometrical and scene context. Firstly, a new approach to pose refinement is reported, based on forces derived from prominent image derivatives found close to an initial hypothesis. Secondly, a parameterised vehicle model is reported, able to represent different vehicle classes. This general vehicle model has been fitted to sample data, and subjected to a Principal Component Analysis to create a deformable model of common car types having 6 parameters. We show that the new pose recovery technique is also able to operate on the PCA model, to allow the structure of an initial vehicle hypothesis to be adapted to fit the prevailing context. We report initial experiments with the model, which demonstrate significant improvements to pose recovery.

A review and classification of the existing models of cyanobacteria

Bloom-forming and toxin-producing cyanobacteria remain a persistent nuisance across the world. Modelling of cyanobacteria in freshwaters is an important tool for understanding their population dynamics and predicting bloom occurrence in lakes and rivers. In this paper existing key models of cyanobacteria are reviewed, evaluated and classified. Two major groups emerge: deterministic mathematical and artificial neural network models. Mathematical models can be further subcategorized into those models concerned with impounded water bodies and those concerned with rivers. Most existing models focus on a single aspect such as the growth of transport mechanisms, but there are a few models which couple both.