In order to solve the stability problems and increase the PSRR performance of the Low Drop-out Voltage (LDO) a novel technique is presented. The main purpose of this work was to obtain a high PSRR, high power efficiency with a low load current. To achieve this, several techniques such as Nested Miller Compensation (NMC), Pole-Zero Tracking Frequency Compensation (PZTFC) and Single Miller Compen...

Reliable data multicast is difficult to scale. Fcast, “file multicasting”, combines multicast with Forward Error Correction (FEC) to solve this problem. Like classic multicast, Fcast scales to large audiences, and like other FEC schemes, it uses bandwidth very efficiently. Some of the benefits of this combination were known previously, but Fcast contributes new caching methods that improve disk...

This paper presents a scoring model that predicts the risk of drop-out for borrowers at a microfinance lender in Bolivia. Drop-out risk was greater for women, manufacturers, newer borrowers, and those with more arrears. Out-of-sample tests suggest that scoring may help microfinance lenders to detect segments of their clientele (and even specific current clients) who are at-risk of drop-out. Ack...

The motivation behind the study of low drop-out (LDO) regulators is driven by the increasing demand for higher performance power supply circuits. This paper discusses thoroughly the important issues relevant to the emergence and design of these circuits. An increasing number of low voltage applications require the use of LDOs, i.e., cellular phones, pagers, laptops, etc. Switching regulators, t...

This paper focuses on predicting drop-outs and school failures when student data has been enriched with data derived from students social behaviour. These data describe social dependencies gathered from e-mail and discussion board conversations, among other sources. We describe an extraction of new features from both student data and behaviour data represented by a social graph which we constru...

In tropical wet forests, ants are a large proportion of the animal biomass, but the factors determining abundance are not well understood. We characterized ant abundance in the litter layer of 41 mature wet forest sites spread throughout Central America (Chiapas, Guatemala, Honduras, Nicaragua, and Costa Rica) and examined the impact of elevation (as a proxy for temperature) and community speci...