title: Observations of nonlinear run-up patterns on plane and rhythmic beach morphology

authors: Bryan, Karin R.

subjects: nonlinear

abstract: Application of non-linear forecasting and bispectral analysis to video observations of run-up over cuspate topography shows that these alongshore patterns in the morphology are accompanied by changes to the fundamental behaviour of the run-up timeseries. Nonlinear forecasting indicates that at beach cusp horns, the behaviour of swash flow is more predictable and global (meaning that characteristics of individual swash events are well represented by the behaviour of the timeseries as a whole). Conversely, at beach cusp bays, the behaviour of swash flow is less predictable and more local (meaning that the characteristics of individual swash events are best represented by the behaviour of a small fraction of the timeseries). Bispectral analysis indicates that there is a nonlinear transfer of energy from the incident wave frequency f to infragravity frequency ~f/2 which only occurs in the bay, suggesting that the local behaviour is caused by interactions between successive swash cycles which are magnified by channelling caused by the beach cusp geometry. The local behaviour and the bispectral signatures are not present in offshore measurements, and are not present in runup timeseries collected when the beach was planar. These results provide evidence that interactions between successive run-ups are a fundamental characteristic of beach cusp bays. Ultimately, these interactions could lead to the growth of an infragravity wave with an alongshore wavelength forced by the presence of beach cusps.

text: Observations of nonlinear run-up patterns on plane and rhythmic beach morphology Application of non-linear forecasting and bispectral analysis to video observations of run-up over cuspate topography shows that these alongshore patterns in the morphology are accompanied by changes to the fundamental behaviour of the run-up timeseries. Nonlinear forecasting indicates that at beach cusp horns, the behaviour of swash flow is more predictable and global (meaning that characteristics of individual swash events are well represented by the behaviour of the timeseries as a whole). Conversely, at beach cusp bays, the behaviour of swash flow is less predictable and more local (meaning that the characteristics of individual swash events are best represented by the behaviour of a small fraction of the timeseries). Bispectral analysis indicates that there is a nonlinear transfer of energy from the incident wave frequency f to infragravity frequency ~f/2 which only occurs in the bay, suggesting that the local behaviour is caused by interactions between successive swash cycles which are magnified by channelling caused by the beach cusp geometry. The local behaviour and the bispectral signatures are not present in offshore measurements, and are not present in runup timeseries collected when the beach was planar. These results provide evidence that interactions between successive run-ups are a fundamental characteristic of beach cusp bays. Ultimately, these interactions could lead to the growth of an infragravity wave with an alongshore wavelength forced by the presence of beach cusps.

year: 2010

title: PineappleDB: An online pineapple bioinformatics resource

authors: Moyle, Richard L.

abstract: Background: A world first pineapple EST sequencing program has been undertaken to investigate genes expressed during non-climacteric fruit ripening and the nematode-plant interaction during root infection. Very little is known of how non-climacteric fruit ripening is controlled or of the molecular basis of the nematode-plant interaction. PineappleDB was developed to provide the research community with access to a curated bioinformatics resource housing the fruit, root and nematode infected gall expressed sequences.
Description: PineappleDB is an online, curated database providing integrated access to annotated expressed sequence tag (EST) data for cDNA clones isolated from pineapple fruit, root, and nematode infected root gall vascular cylinder tissues. The database currently houses over 5600 EST sequences, 3383 contig consensus sequences, and associated bioinformatic data including splice variants, Arabidopsis homologues, both MIPS based and Gene Ontology functional classifications, and clone distributions. The online resource can be searched by text or by BLAST sequence homology. The data outputs provide comprehensive sequence, bioinformatic and functional classification information.
Conclusion: The online pineapple bioinformatic resource provides the research community with access to pineapple fruit and root/gall sequence and bioinformatic data in a user-friendly format. The search tools enable efficient data mining and present a wide spectrum of bioinformatic and functional classification information. PineappleDB will be of broad appeal to researchers investigating pineapple genetics, non-climacteric fruit ripening, root-knot nematode infection, crassulacean acid metabolism and alternative RNA splicing in plants.

text: PineappleDB: An online pineapple bioinformatics resource Background: A world first pineapple EST sequencing program has been undertaken to investigate genes expressed during non-climacteric fruit ripening and the nematode-plant interaction during root infection. Very little is known of how non-climacteric fruit ripening is controlled or of the molecular basis of the nematode-plant interaction. PineappleDB was developed to provide the research community with access to a curated bioinformatics resource housing the fruit, root and nematode infected gall expressed sequences.
Description: PineappleDB is an online, curated database providing integrated access to annotated expressed sequence tag (EST) data for cDNA clones isolated from pineapple fruit, root, and nematode infected root gall vascular cylinder tissues. The database currently houses over 5600 EST sequences, 3383 contig consensus sequences, and associated bioinformatic data including splice variants, Arabidopsis homologues, both MIPS based and Gene Ontology functional classifications, and clone distributions. The online resource can be searched by text or by BLAST sequence homology. The data outputs provide comprehensive sequence, bioinformatic and functional classification information.
Conclusion: The online pineapple bioinformatic resource provides the research community with access to pineapple fruit and root/gall sequence and bioinformatic data in a user-friendly format. The search tools enable efficient data mining and present a wide spectrum of bioinformatic and functional classification information. PineappleDB will be of broad appeal to researchers investigating pineapple genetics, non-climacteric fruit ripening, root-knot nematode infection, crassulacean acid metabolism and alternative RNA splicing in plants.

year: 2005-10

title: Te taiao: Te titiro a te Māori

authors: Kirby, Dean Robert

subjects: Cosmology

abstract: Ko te kaupapa o tēnei tuhinga ko te titiro a te Māori ki te taiao. He mea tuhi i runga i te aroha, i te whakapono ki ngēnei mea, ki te ātaahua o te taiao me ngā kōrero mōna. E whakatangatatia ana ngā āhuatanga o te taiao, ngā rākau, ngā manu, ngā ika, te kohu, ngā kapua, ngā maunga, otirā ngā mea katoa. Ara noa atu ngā kōrero, he whakapapa ō rātou, he huānga tētehi mea ki tētehi, he mauri tō tēnā mea tō tēnā mea. E ora ana ngā mea katoa o te ao, ka whai tamariki, he mātua he tūpuna anō, te katoa tae atu hoki ki te tangata, he wāhanga ia nō te taiao.
Hei aha tēnei tuhinga? Ko tāna mahi he whakaatu i ngēnei āhuatanga. Ā he whakamātau hoki ki te whakautu i te pātai he aha i whērā ai te titiro a ngā tūpuna ki tō rātou taiao. He kohikohingā tēnei nō ngā kōrero maha e takoto mai naka i roto i ngā pukapuka kua tāia kētia. Ehake i te mea ka kōrerotia ngā mea katoa, otiia ka tirohia noatia ngētehi āhuatanga o tēnei hanga te taiao. Kāhore i tuhia i runga i ngā kōrero ā waha a ngētehi kaikōrero, whēnā i ngētehi atu tuhinga roa. He mahi nui tērā mā tētehi atu hei whai, heoi anō tēnei he huihuinga nō ngētehi kōrero kua tuhia i mua atu.
Ka whakarārangitia ngā kōrero neki i muri ake nei. Ko tōna timatanga kei te Ōrokohanga, ko te timatanga tērā o te taiao. Ko te whenua ka whai mai me ngā kōrero mōna. Muri iho ko te wai me ngōna āhuatanga katoa. Ko te rangi, ngā mea katoa o te rangi ka whai mai i muri i tēnā. Muri iho anō ko ngā manu, ko ngā ngārara me ngā ngāngara, ngā rākau me ngā ika. Ka mutu atu i ngā tupua, i ngā taniwha me ngā patupaiarehe, i ngā kōrero mō ngērā. E iwa wāhanga nui te katoa o tēnei tuhinga. Kei te timatanga tētehi wāhanga hei whakamārama i te tuhinga ā kei te mutunga tētehi atu wāhanga hei whakatōpū, hei whakarāpopoto i ngā kōrero o roto i te puku o te tuhinga nei.
Kei ngā wāhanga o te pukapuka nei he kōrero mō tēnā mea, mō tēnā mea i raro i tōna ūpoko anō, me ngā whakaāhua e rite ana mōna. Ko te tūmanako ka kite te kaipānui i te pūrotutanga o te taiao o te Māori.

text: Te taiao: Te titiro a te Māori Ko te kaupapa o tēnei tuhinga ko te titiro a te Māori ki te taiao. He mea tuhi i runga i te aroha, i te whakapono ki ngēnei mea, ki te ātaahua o te taiao me ngā kōrero mōna. E whakatangatatia ana ngā āhuatanga o te taiao, ngā rākau, ngā manu, ngā ika, te kohu, ngā kapua, ngā maunga, otirā ngā mea katoa. Ara noa atu ngā kōrero, he whakapapa ō rātou, he huānga tētehi mea ki tētehi, he mauri tō tēnā mea tō tēnā mea. E ora ana ngā mea katoa o te ao, ka whai tamariki, he mātua he tūpuna anō, te katoa tae atu hoki ki te tangata, he wāhanga ia nō te taiao.
Hei aha tēnei tuhinga? Ko tāna mahi he whakaatu i ngēnei āhuatanga. Ā he whakamātau hoki ki te whakautu i te pātai he aha i whērā ai te titiro a ngā tūpuna ki tō rātou taiao. He kohikohingā tēnei nō ngā kōrero maha e takoto mai naka i roto i ngā pukapuka kua tāia kētia. Ehake i te mea ka kōrerotia ngā mea katoa, otiia ka tirohia noatia ngētehi āhuatanga o tēnei hanga te taiao. Kāhore i tuhia i runga i ngā kōrero ā waha a ngētehi kaikōrero, whēnā i ngētehi atu tuhinga roa. He mahi nui tērā mā tētehi atu hei whai, heoi anō tēnei he huihuinga nō ngētehi kōrero kua tuhia i mua atu.
Ka whakarārangitia ngā kōrero neki i muri ake nei. Ko tōna timatanga kei te Ōrokohanga, ko te timatanga tērā o te taiao. Ko te whenua ka whai mai me ngā kōrero mōna. Muri iho ko te wai me ngōna āhuatanga katoa. Ko te rangi, ngā mea katoa o te rangi ka whai mai i muri i tēnā. Muri iho anō ko ngā manu, ko ngā ngārara me ngā ngāngara, ngā rākau me ngā ika. Ka mutu atu i ngā tupua, i ngā taniwha me ngā patupaiarehe, i ngā kōrero mō ngērā. E iwa wāhanga nui te katoa o tēnei tuhinga. Kei te timatanga tētehi wāhanga hei whakamārama i te tuhinga ā kei te mutunga tētehi atu wāhanga hei whakatōpū, hei whakarāpopoto i ngā kōrero o roto i te puku o te tuhinga nei.
Kei ngā wāhanga o te pukapuka nei he kōrero mō tēnā mea, mō tēnā mea i raro i tōna ūpoko anō, me ngā whakaāhua e rite ana mōna. Ko te tūmanako ka kite te kaipānui i te pūrotutanga o te taiao o te Māori.

year: 1992