This recommended "time planner" has been included so that you have some idea of how much time you will need for each of the lessons. One of the aims of this package is to ensure that teachers do not have to deviate more than is necessary from their normal Std 8 lessons on the structure and function of cells. However, teachers are asked to include the following introductory exercises when they teach the section on the cell. Please emphasis strongly (to the pupils) that this is NOT extra work irrelevant to the syllabus. These lessons are to assist them to develop skills which are absolutely essential for them to succeed as biology scholars. Thereafter the teaching is left to the teacher. However, teachers are asked to incorporate the worksheets on cell organelles. and other relevant exercises, into those lessons in which they deal with those organelles. As teachers will realise. the active involvement of pupils in the learning task inevitably means that more time is spent teaching that section of work. Thus some of the tasks are for pupils to complete at home. Teachers are asked to ensure that pupils do complete these exercises, and that they have some sort of follow-up in class, even if it is merely a class display of drawings which have been done

Thesis (Ph.D.)--University of Texas at Dallas, 2008. / Includes vita. Includes bibliographical references (leaves 139-146)

No description available.

Thesis (Ph.D.)--University of Iowa, 2009. / Thesis supervisor: Geoffrey McLennan. Includes bibliographical references (leaves 151-157).

Thesis (Ph. D.)--Brigham Young University. Dept. of Electrical and Computer Engineering, 2007. / Includes bibliographical references (p. 161-167).

M.Sc. (Computer Science) / Modelling the geometry of a 3D plant for use in a virtual environment can be highly laborious, and hence modelling a large collection of variations of the same plant can be a difficult task. Procedural rule-based methods, such as L-Systems, that generate plant geometry indirectly are powerful techniques for the modelling of plants. However such methods often require expert knowledge and skill in order to be used effectively. This dissertation explores a method for the modelling of procedurally generated plants using an evolutionary algorithm. The model is based on gene expression programming, and uses a hybrid of automated and interactive fitness evaluation. In the model, organisms are represented with linear genomes that can be expressed as L-Systems. The L-Systems can in turn be interpreted as geometry for 3D plants. Several automated fitness functions are presented to rate plants based on various topological and geometric attributes. These fitness functions are used in conjunction with user-based, interactive fitness evaluation in order to provide a comparison of different organisms. The model discussed in this dissertation offers advantages over previous approaches to modelling plants with evolutionary algorithms, and allows a user to quickly generate a population of varied plants without requiring knowledge of the underlying L-Systems.

Thesis (M.S.)--Ohio University, August, 1998. / Title from PDF t.p.

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006. / Title from Web page (viewed on Jan. 5, 2009). Includes bibliographical references (p. 160-174).

Thesis (Ph. D.)--Northeastern University, 2008. / Title from title page (viewed May 26, 2009). Graduate School of Engineering, Dept. of Electrical and Computer Engineering. Includes bibliographical references (p. 142-155).

The importance of root systems for soil-based resource acquisition by plants has long motivated researchers to quantify the complexity of root system structures. However, most of those studies proceeded from 2-D spatial data, and thus lacked the relevance of a 3-D analysis. In this project, helical CT scanning was applied to study root systems with an unprecedented level of accuracy, using non-destructive and non-invasive 3-D imaging that allowed for a spatio-temporal analysis. The appropriate CT scan parameters and configuration were determined for root systems of maize seedlings grown in sand and loamy sand. It was found that the soil conditions allowing for better visualization were sand before watering and loamy sand after watering. Root systems were CT scanned and visualized either at a single moment in time or repeatedly on successive days. Complexity analysis was performed by estimating the fractal dimension on skeletonized 3-D images of root systems.