KEY MESSAGE: Mobile technology is transforming Africa in unforeseen ways. Anything is possible in the early stages of formation—the use of cell phones as economic infrastructure offers many opportunities GIO report (p25) More than 200 million wireless subscribers Nearly 75% of all telephones in Africa are mobile phones In Tanzania, 97% of the people say they have access to a mobile phone, while only 28% say they have access to a landline phone Mobile device as identity, replacing your wallet Identification, pictures, currency, credit, address and location More secure than loosing your wallet Detection of loss or improper use can be instantaneous with safeguards in place from wrongful use Re-issue a new cell phone easier and quicker than replacing individual wallet contents Example: No location/address now and is a hindrance with very few addresses—this is a problem Most people exist very close to where they live Call for appointment to meet or use the phone as a tracking device to provide location New Business Model No legacy infrastructure—get to start from scratch/anew Business services and transactions with cell phone—e.g., mobile banks, mobile credit Who will be the major players in this form of commerce? Offers secure transactions (B2B, B2C, C2C) Efficient method for the delivery of content Opportunity for the delivery of services tailored to cell phone as delivery mechanism Social Capital Contributing to empowerment Improving financial management Contributing to economic management
Need to understand all structural and electronic dielectric properties of materials. In the movie, we see a so-called ball-and-stick graphical representation, where the balls represent atoms and the sticks represent the chemical bonds. On the basis of these models, we can calculate the important electronic properties and behavior of various materials. In this case we are interested in the behavior of the atoms at the interface of the Silicon substrate with the SiO2 insulator. The moving contour is the contour of the electrostatic potential
As we said previously, the NWS uses a synoptic scale model to provide weather forecasts for the entire United States. These models are run using as 29 km grid. Typically, synoptic scale models use a mixture of: 40% physics 50% dynamics 10% micro-physics Events like thunderstorms, wind shear, land-sea breezes, and other small scale phenomena cannot be “seen” at this level of resolution. They most likely fall entirely within a grid space. Since computational models solve the equations for the points at which the grids meet, these events are not forecast. It’s like trying to catch small fish using a net with large holes. each piece must be sized on a certain scale. These models are classed as “synoptic” scale models. The current technology uses a 29 x 29 kilometer scale. That is each square is 29 kilometers on a side. Thus each square covers an area of 841 km2. Because of the size of atmospheric events such as thunderstorms, or wind-shear, they cannot be “seen” in synoptic scale models. Meso-scale models by definition, use a smaller grid size. In the case of the Olympic Games, we used 8 x 8 kilometer and 2 x 2 kilometer grids. Thus each square represented either 64 km2 or 4 km2. By using these smaller scale grids, we can now “see” events like thunderstorms. be aware of any hazards the weather may impose in determining routing and evacuation plans.
