Acquisition and management of technology in Malaysian companies

This thesis is about the acquisition and diffusion of imported technology. Writers in the field of technology development in developing countries have always recognised that technical progress depends on the diffusion of imported technology and its applications to the provision of products and processes (Rosemberg, 1982). Despite the massive importation of technology by Malaysian companies, little effort has been made to study and understand the diffusion system in local companies. This study analyses: The problems associated with the acquisition of technology, highlighting the technology strategies adopted by the suppliers of technology; the diffusion pattern and key characteristics of the diffusion process; and major factors affecting the diffusion of technology. The policy implications are examined and the framework to manage the diffusion process within the enterprises is suggested. The findings indicated that the diffusion process is not one of passive acceptance but involves systematic efforts to acquire and diffuse the imported technology. A strong system of diffusion in companies had enabled a rapid diffusion of imported technology resulting in higher levels of technical capability. On the other hand, weakness in the company's diffusion system led to limited diffusion and slow technical progress. Characteristics of diffusion system are analysed and discussed extensively. The thesis attempts to develop the idea of `in-house system of diffusion' associated with the acquisition and development of imported technology. It argues for the development ofa stronger theoretical framework on the diffusion and development of technology particularly in countries like Malaysia which relies extensively on the importation of foreign technology.

Parametric pattern selection in a reaction-diffusion model

We compare spot patterns generated by Turing mechanisms with those generated by replication cascades, in a model one-dimensional reaction-diffusion system. We determine the stability region of spot solutions in parameter space as a function of a natural control parameter (feed-rate) where degenerate patterns with different numbers of spots coexist for a fixed feed-rate. While it is possible to generate identical patterns via both mechanisms, we show that replication cascades lead to a wider choice of pattern profiles that can be selected through a tuning of the feed-rate, exploiting hysteresis and directionality effects of the different pattern pathways.

Diffuse beta-amyloid (A beta) deposits and neurons: in situ secretion or diffusion of A beta?

The association between diffuse-type beta -amyloid (AP) deposits and neuronal cell bodies in Alzheimer's disease (AD) and Down's syndrome (DS) could result from the secretion of AP from clusters of neurons in situ or the diffusion of A beta from cell processes, glial cells or blood vessels. To decide between these hypotheses, spatial pattern analysis was used to study the relationship between the degree of clustering of neuronal cell bodies and the presence of diffuse deposits in the temporal lobe of patients with DS. Significant clustering of neuronal cell bodies was present in 17/24 (71%) of brain areas studied. in addition, in 23/24 (96%) of brain areas, there was a positive correlation between the presence of diffuse deposits and the density of neurons. Hence, the data support the hypothesis that diffuse deposits develop in situ mainly as a result of the secretion of A beta by local clusters of neurons rather than by significant diffusion. Furthermore, the size of a diffuse deposit is likely to be determined by the number of neurons within a cluster which secrete A beta. The number and density of neurons could also be a factor determining the evolution of a diffuse into a mature amyloid deposit.

Source localization of reaction-diffusion models for brain tumors

We propose a mathematically well-founded approach for locating the source (initial state) of density functions evolved within a nonlinear reaction-diffusion model. The reconstruction of the initial source is an ill-posed inverse problem since the solution is highly unstable with respect to measurement noise. To address this instability problem, we introduce a regularization procedure based on the nonlinear Landweber method for the stable determination of the source location. This amounts to solving a sequence of well-posed forward reaction-diffusion problems. The developed framework is general, and as a special instance we consider the problem of source localization of brain tumors. We show numerically that the source of the initial densities of tumor cells are reconstructed well on both imaging data consisting of simple and complex geometric structures.