title: Thermus filiformis sp. nov., a Filamentous Caldoactive Bacterium

authors: Hudson, J. Andrew

subjects: biology

abstract: In a preliminary investigation the isolation of a caldoactive filamentous microorganism from a New Zealand hot spring was reported. This organism is described here as a new species belonging to the genus Thermus, namely, Thermus filiformis, based on ultrastructural, phenotypic, and anomalous Gram type characteristics. The cell wall of T. filiformis resembles that of Thermus aquaticus apart from the presence of an extra layer. The Thermus species tested, including T. filiformis, are negative for the aminopeptidase test, which is unusual for a gram-negative genus. T. filiformis is nonproteolytic, unlike most other Thermus strains, and also differs radically from other strains in morphology when it is observed by using phase-contrast microscopy. The single strain of the species has been deposited with the American Type Culture Collection as strain ATCC 43280T (T = type strain).

text: Thermus filiformis sp. nov., a Filamentous Caldoactive Bacterium In a preliminary investigation the isolation of a caldoactive filamentous microorganism from a New Zealand hot spring was reported. This organism is described here as a new species belonging to the genus Thermus, namely, Thermus filiformis, based on ultrastructural, phenotypic, and anomalous Gram type characteristics. The cell wall of T. filiformis resembles that of Thermus aquaticus apart from the presence of an extra layer. The Thermus species tested, including T. filiformis, are negative for the aminopeptidase test, which is unusual for a gram-negative genus. T. filiformis is nonproteolytic, unlike most other Thermus strains, and also differs radically from other strains in morphology when it is observed by using phase-contrast microscopy. The single strain of the species has been deposited with the American Type Culture Collection as strain ATCC 43280T (T = type strain).

year: 1987

title: Hybridizing data stream mining and technical indicators in automated trading systems

authors: Mayo, Michael

subjects: computer science

abstract: Automated trading systems for financial markets can use data mining techniques for future price movement prediction. However, classifier accuracy is only one important component in such a system: the other is a decision procedure utilizing the prediction in order to be long, short or out of the market. In this paper, we investigate the use of technical indicators as a means of deciding when to trade in the direction of a classifier’s prediction. We compare this “hybrid” technical/data stream mining-based system with a naive system that always trades in the direction of predicted price movement. We are able to show via evaluations across five financial market datasets that our novel hybrid technique frequently outperforms the naive system. To strengthen our conclusions, we also include in our evaluation several “simple” trading strategies without any data mining component that provide a much stronger baseline for comparison than traditional buy-and-hold or sell-and-hold strategies.

text: Hybridizing data stream mining and technical indicators in automated trading systems Automated trading systems for financial markets can use data mining techniques for future price movement prediction. However, classifier accuracy is only one important component in such a system: the other is a decision procedure utilizing the prediction in order to be long, short or out of the market. In this paper, we investigate the use of technical indicators as a means of deciding when to trade in the direction of a classifier’s prediction. We compare this “hybrid” technical/data stream mining-based system with a naive system that always trades in the direction of predicted price movement. We are able to show via evaluations across five financial market datasets that our novel hybrid technique frequently outperforms the naive system. To strengthen our conclusions, we also include in our evaluation several “simple” trading strategies without any data mining component that provide a much stronger baseline for comparison than traditional buy-and-hold or sell-and-hold strategies.

year: 2011

title: Ōpōtiki Mai Tawhiti

authors: Maxwell, Te Kahautu

abstract: Ōpōtiki Mai Tawhiti competed at the Mātaatua Regional Kapa Haka Competition 2014 to qualify for the Te Matatini World Championship Kapa Haka Competition 2015, Christchurch. Ōpōtiki Mai Tawhiti placed first overall, 1st mōteatea, 1st, Haka, 1st Whakawātea, 1st Female Leader, 1st Male Leader, 1st Waiata Tira, 1st Te Reo, 1st Original Composition, 1st Costume, 2nd Waiata a Ringa, 2nd, Poi, 2nd Whakaeke.

text: Ōpōtiki Mai Tawhiti Ōpōtiki Mai Tawhiti competed at the Mātaatua Regional Kapa Haka Competition 2014 to qualify for the Te Matatini World Championship Kapa Haka Competition 2015, Christchurch. Ōpōtiki Mai Tawhiti placed first overall, 1st mōteatea, 1st, Haka, 1st Whakawātea, 1st Female Leader, 1st Male Leader, 1st Waiata Tira, 1st Te Reo, 1st Original Composition, 1st Costume, 2nd Waiata a Ringa, 2nd, Poi, 2nd Whakaeke.

year: 2014-02-22