title: Classification and regression algorithms for WEKA implemented in Python

authors: Beckham, Christopher J.

subjects: Computer Science

abstract: WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train classifiers and examine performance metrics; in the WEKA Experimenter, datasets and algorithms can be compared in an automated fashion; or, it can simply be invoked on the command-line or used as an external library in a Java project.

text: Classification and regression algorithms for WEKA implemented in Python WEKA is a popular machine learning workbench written in Java that allows users to easily classify, process, and explore data. There are many ways WEKA can be used: through the WEKA Explorer, users can visualise data, train classifiers and examine performance metrics; in the WEKA Experimenter, datasets and algorithms can be compared in an automated fashion; or, it can simply be invoked on the command-line or used as an external library in a Java project.

year: 2015-10

title: Managing denitrification in human-dominated landscapes

authors: Schipper, Louis A.

subjects: N

abstract: Increases in food supply and fossil fuel consumption are among the hallmarks of the 20th century. These changes share a common characteristic – they both contribute to an excess supply of plant-available (i.e., reactive) nitrogen – with negative consequences to ecosystems and water supplies across the globe. While there are vast quantities of di-nitrogen gas (N₂) in the atmosphere, this form of N is unavailable (termed unreactive N) to the vast majority of biological life (Galloway et al., 2003). Globally, this unreactive N can be converted to reactive N by four major processes: N-fixing microorganisms (often in symbiotic association with plants, 140 TgNyear⁻¹), industrial fertilizer production (125 TgNyear⁻¹), fossil fuel combustion (25 TgNyear⁻¹), and lightning (5 TgNyear⁻¹) (Schlesinger, 2009). The benefits of increased food production by use of N inputs are clear. World economies also continue to rely on fossil fuels for transport and fertilizer production. As with many biogeochemical processes that are manipulated at global scales, increased N inputs has adverse and unintended consequences (Galloway et al., 2008).

text: Managing denitrification in human-dominated landscapes Increases in food supply and fossil fuel consumption are among the hallmarks of the 20th century. These changes share a common characteristic – they both contribute to an excess supply of plant-available (i.e., reactive) nitrogen – with negative consequences to ecosystems and water supplies across the globe. While there are vast quantities of di-nitrogen gas (N₂) in the atmosphere, this form of N is unavailable (termed unreactive N) to the vast majority of biological life (Galloway et al., 2003). Globally, this unreactive N can be converted to reactive N by four major processes: N-fixing microorganisms (often in symbiotic association with plants, 140 TgNyear⁻¹), industrial fertilizer production (125 TgNyear⁻¹), fossil fuel combustion (25 TgNyear⁻¹), and lightning (5 TgNyear⁻¹) (Schlesinger, 2009). The benefits of increased food production by use of N inputs are clear. World economies also continue to rely on fossil fuels for transport and fertilizer production. As with many biogeochemical processes that are manipulated at global scales, increased N inputs has adverse and unintended consequences (Galloway et al., 2008).

year: 2010

title: "He taketake, he hurumanu te moana i rōhia ai": Mā te Māori ngā toronga o te motu ki whenua kē e taurima?

authors: Dewes, Kaneihana

subjects: Iwi taketake

abstract: Kai te tino ia o te tuhinga rangahau nei, he whakatōmene i te āhua kaiārahi o te Māori i ngā tūāhua hono ki ahurea kē. Mā konei e whakatau ai, e whakatūwherahia rānei ngā āhuatanga e mea ana mā te Māori ngā toronga o te motu ki whenua kē e taurima. He momo tēnei nā te Māori, i takea mai i ngā mahi pokai moana, me ngā waka i whakaterea i ngā rohenga moana o Te Moana-nui-a-Kiwa, ā, puta noa. Waihoki, he taonga tonu wā tātau kai ngā tauira o ngā tūhononga ahurea o ngā iwi taketake o te ao; he taonga anō kai waenganui i a tātau ngā whenua maha i pakanga ki rāwāhi, he tohu nui nā te ‘price of citizenship’. He momo nā te Māori te tātaki i ngā mahi whakarauora reo, waihoki, he rite tonu te noho tahi ki whenua kē i roto i te kōingo ki te whakatipu i te reo o te whenua. Mā konei, ka marohi ai te hiranga o Te Reo Māori me ngā Tikanga Māori, tēnei hiranga e tohu ana i te hua o ngā hononga ahurea ki ngā iwi taketake huri noa, kia whai hua mō Niu Tireni i ngā toronga ki whenua kē.

text: "He taketake, he hurumanu te moana i rōhia ai": Mā te Māori ngā toronga o te motu ki whenua kē e taurima? Kai te tino ia o te tuhinga rangahau nei, he whakatōmene i te āhua kaiārahi o te Māori i ngā tūāhua hono ki ahurea kē. Mā konei e whakatau ai, e whakatūwherahia rānei ngā āhuatanga e mea ana mā te Māori ngā toronga o te motu ki whenua kē e taurima. He momo tēnei nā te Māori, i takea mai i ngā mahi pokai moana, me ngā waka i whakaterea i ngā rohenga moana o Te Moana-nui-a-Kiwa, ā, puta noa. Waihoki, he taonga tonu wā tātau kai ngā tauira o ngā tūhononga ahurea o ngā iwi taketake o te ao; he taonga anō kai waenganui i a tātau ngā whenua maha i pakanga ki rāwāhi, he tohu nui nā te ‘price of citizenship’. He momo nā te Māori te tātaki i ngā mahi whakarauora reo, waihoki, he rite tonu te noho tahi ki whenua kē i roto i te kōingo ki te whakatipu i te reo o te whenua. Mā konei, ka marohi ai te hiranga o Te Reo Māori me ngā Tikanga Māori, tēnei hiranga e tohu ana i te hua o ngā hononga ahurea ki ngā iwi taketake huri noa, kia whai hua mō Niu Tireni i ngā toronga ki whenua kē.

year: 2022