title: Quantitative chemical indicators to assess the gradation of compression wood

authors: Nanayakkara, Bernadette

subjects: chemistry of compression wood

abstract: A chemistry-based parameter has been sought for determining the gradation of compression wood (CW), i.e., the severity, in tissues of Pinus radiata wood. Fluorescence microscopy was the reference for characterisation of the tissues containing CW. The collected material contained CW of varying severity, beginning with normal wood (NW containing no CW), continuing with material with some features of CW (CW of mild severity, MCW) and ending up with a material with pronounced features of CW (CW of high severity, SCW). Matching opposite wood (OW) was also included in the study. The chemical analyses included lignin determination, sugar analysis in the acid hydrolysate, thioacidolysis, 31P-NMR spectroscopic analysis and steric exclusion chromatography of thioacidolysis products. As the severity of CW changed progressively from NW through MCW to SCW, all chemical parameters changed concurrently. In particular, levels of galactose and lignin increased, while those of glucose and mannose decreased. The amounts of p-hydroxyphenyl β-ethers released by chemical degradation and uncondensed p-hydroxyphenyl C-9 units also increased at elevated CW severity levels. The amounts of galactose and the p-hydroxyphenyl content of the lignin correlated linearly with lignin for CW samples. The chemical differences between CW and OW in the stem, branch and seedling were similar, i.e., they are independent of the morphological origin of the sample. Parameters based on the p-hydroxyphenyl unit content appear the most suitable chemical indicators of CW severity, as they are least sensitive to the sample's morphological origin and their response to CW severity is high.

text: Quantitative chemical indicators to assess the gradation of compression wood A chemistry-based parameter has been sought for determining the gradation of compression wood (CW), i.e., the severity, in tissues of Pinus radiata wood. Fluorescence microscopy was the reference for characterisation of the tissues containing CW. The collected material contained CW of varying severity, beginning with normal wood (NW containing no CW), continuing with material with some features of CW (CW of mild severity, MCW) and ending up with a material with pronounced features of CW (CW of high severity, SCW). Matching opposite wood (OW) was also included in the study. The chemical analyses included lignin determination, sugar analysis in the acid hydrolysate, thioacidolysis, 31P-NMR spectroscopic analysis and steric exclusion chromatography of thioacidolysis products. As the severity of CW changed progressively from NW through MCW to SCW, all chemical parameters changed concurrently. In particular, levels of galactose and lignin increased, while those of glucose and mannose decreased. The amounts of p-hydroxyphenyl β-ethers released by chemical degradation and uncondensed p-hydroxyphenyl C-9 units also increased at elevated CW severity levels. The amounts of galactose and the p-hydroxyphenyl content of the lignin correlated linearly with lignin for CW samples. The chemical differences between CW and OW in the stem, branch and seedling were similar, i.e., they are independent of the morphological origin of the sample. Parameters based on the p-hydroxyphenyl unit content appear the most suitable chemical indicators of CW severity, as they are least sensitive to the sample's morphological origin and their response to CW severity is high.

year: 2009-07

title: Spatial price differences and inequality in China: Housing market evidence

authors: Gibson, John

subjects: housing

abstract: The large literature on regional inequality in China is hampered by incomplete evidence on price dispersion across space, making it hard to distinguish real and nominal inequality. The two main methods used to calculate spatial deflators have been to price a national basket of goods and services across China’s different regions or else to estimate a food Engel curve and define the deflator as that needed for nominally similar households to have the same food budget shares in all regions. Neither approach is convincing with the data available in China. Moreover, a focus on tradable goods like food may be misplaced because of the emerging literature on the rapid convergence of traded goods prices within China that contrasts with earlier claims of fragmented internal markets. In a setting where traded goods prices converge rapidly, the main source of price dispersion across space should come from non-traded items, and especially from housing given the fixity of land. In this paper we use newly available data on dwelling sales in urban China to develop spatially-disaggregated indices of house prices, which are then used as spatial deflators for both provinces and core urban districts. These new deflators complement existing approaches that have relied more on traded goods prices, and are used to re-examine the evidence on the level of regional inequality. Around one-quarter of the apparent spatial inequality disappears once account is taken of cost-of-living differences.

text: Spatial price differences and inequality in China: Housing market evidence The large literature on regional inequality in China is hampered by incomplete evidence on price dispersion across space, making it hard to distinguish real and nominal inequality. The two main methods used to calculate spatial deflators have been to price a national basket of goods and services across China’s different regions or else to estimate a food Engel curve and define the deflator as that needed for nominally similar households to have the same food budget shares in all regions. Neither approach is convincing with the data available in China. Moreover, a focus on tradable goods like food may be misplaced because of the emerging literature on the rapid convergence of traded goods prices within China that contrasts with earlier claims of fragmented internal markets. In a setting where traded goods prices converge rapidly, the main source of price dispersion across space should come from non-traded items, and especially from housing given the fixity of land. In this paper we use newly available data on dwelling sales in urban China to develop spatially-disaggregated indices of house prices, which are then used as spatial deflators for both provinces and core urban districts. These new deflators complement existing approaches that have relied more on traded goods prices, and are used to re-examine the evidence on the level of regional inequality. Around one-quarter of the apparent spatial inequality disappears once account is taken of cost-of-living differences.

year: 2013-03

title: Ko te reo i Te Rarawa: Pēhea rainī te tūāhua reo o ngā mātua tūpuna i Pukepoto

authors: McGrath, Daniel

abstract: Ko te reo Māori, ko te reo ā-iwi, ko te mita o te reo; ko tēhea te mea nui? Mai anō tēnei tohe, ko tēhea ko runga, ko tēhea ko raro. He tinitini nei anō ngā rangahau mō te reo Māori, mō ngā rautaki whakaora i te reo Māori. Erangi pēhea mai ana te reo ā-iwi? I te mahi nui whakaharahara ki te whakaora i te reo Māori e noho ana tērā kaupapa hei aronga matua. E kite mārika ana i ngā hua o aua mahi, hoi anō te reo ā-iwi, te hanga nei, i paria ki rāhaki. Nā, i ngā tau tata nei anō, kua kitea rawatia te wheinu o ngā uri whakaheke, o ngā mokopuna o ngā iwi ki te ako i ō rātou mita, otirā i te reo ā-iwi.
Hoi anō tēnei kaupapa rangahau he mea whakapiripiri ki ngā rangahau mō te reo Māori, waihoki mō te reo ā-iwi. E āta mātai atu ana te titiro ki te reo ake anō o Te Rarawa, otirā ki te reo o ngā kaumātua i noho ai i Pukepoto. Ko ngā whāinga matua o te rangahau kia kitea pēnā rainī he patanga wō te reo i te kāinga ki te mana, ki te ahurea o te tangata, ka tahi. Ka rua, kia huraina mai ai ngā āhuatanga motuhake o te reo o Te Rarawa, otirā, o te reo i Pukepoto. I runga i tērā, ko te pātai matua o te rangahau nei, ko tēnei;
Pēhea hoki nei te tūāhua reo Māori i kōrerohia ai e ngā mātua tūpuna, e ngā wheinga i Pukepoto?
Nā, e tutuki ngā whāinga rangahau, i arohia wētahi rīpene kei te pātaka kōrero o Te Reo Irirangi Māori o Te Hiku o Te Ika e mau nei ngā reo o ngā kaumātua o te kāinga e kōrero ana mō ngā tini āhuatanga e hāngai ana ki ō rātou nā ao. E tāwharautia ana tēnei kaupapa e te Rangahau Kaupapa Māori, ā, ko ngā tikanga, ko ngā kōrero i ahua mai i Te Rarawa i Pukepoto e noho mai ana hei tāhuhu tikanga mōku. Ko ngā taupānga hou kua oti kē nei i a Te Reo Irirangi Māori o Te Hiku o Te Ika hei taputapu e nanao atu ai a hau ki te pātaka kōrero o Te Hiku o Te Ika, e pai ai taku āta wānanga i ngā kupu, i ngā kōrero kei ngā rīpene e mau ana.
Tokowhitu katoa ngā kaumātua i āta arohia e ahau i tēnei rangahau nei, katoa i noho ai i Pukepoto. Ko tāku, he āta whakataringa atu ki wā rātou kōrero, ka āta arotake ai i wētahi kupu, i wētahi kīwaha, i wētahi whakatakotoranga rerenga kōrero i kaha whakahuangia e rātou mā. Kei te puke tuaono te roanga o ngā kōrero mō ngā kitenga o te rangahau; i mārama te kite atu he tini ngā momo kupu, ngā kīwaha me ngā rerenga kōrero he tikanga kē atu wō rātou, he whakamahinga kē anō, ka mutu, arā wētahi kāhore e tino rangona ana i wēnei wā nei. Nō reira, ko tā tēnei rangahau e whai ana kia whakahokia wēnei āhuatanga o te reo ki ngā arero o ngā uri whakaheke o Pukepoto, o Te Rarawa, otirā o Te Hiku o te Ika.

text: Ko te reo i Te Rarawa: Pēhea rainī te tūāhua reo o ngā mātua tūpuna i Pukepoto Ko te reo Māori, ko te reo ā-iwi, ko te mita o te reo; ko tēhea te mea nui? Mai anō tēnei tohe, ko tēhea ko runga, ko tēhea ko raro. He tinitini nei anō ngā rangahau mō te reo Māori, mō ngā rautaki whakaora i te reo Māori. Erangi pēhea mai ana te reo ā-iwi? I te mahi nui whakaharahara ki te whakaora i te reo Māori e noho ana tērā kaupapa hei aronga matua. E kite mārika ana i ngā hua o aua mahi, hoi anō te reo ā-iwi, te hanga nei, i paria ki rāhaki. Nā, i ngā tau tata nei anō, kua kitea rawatia te wheinu o ngā uri whakaheke, o ngā mokopuna o ngā iwi ki te ako i ō rātou mita, otirā i te reo ā-iwi.
Hoi anō tēnei kaupapa rangahau he mea whakapiripiri ki ngā rangahau mō te reo Māori, waihoki mō te reo ā-iwi. E āta mātai atu ana te titiro ki te reo ake anō o Te Rarawa, otirā ki te reo o ngā kaumātua i noho ai i Pukepoto. Ko ngā whāinga matua o te rangahau kia kitea pēnā rainī he patanga wō te reo i te kāinga ki te mana, ki te ahurea o te tangata, ka tahi. Ka rua, kia huraina mai ai ngā āhuatanga motuhake o te reo o Te Rarawa, otirā, o te reo i Pukepoto. I runga i tērā, ko te pātai matua o te rangahau nei, ko tēnei;
Pēhea hoki nei te tūāhua reo Māori i kōrerohia ai e ngā mātua tūpuna, e ngā wheinga i Pukepoto?
Nā, e tutuki ngā whāinga rangahau, i arohia wētahi rīpene kei te pātaka kōrero o Te Reo Irirangi Māori o Te Hiku o Te Ika e mau nei ngā reo o ngā kaumātua o te kāinga e kōrero ana mō ngā tini āhuatanga e hāngai ana ki ō rātou nā ao. E tāwharautia ana tēnei kaupapa e te Rangahau Kaupapa Māori, ā, ko ngā tikanga, ko ngā kōrero i ahua mai i Te Rarawa i Pukepoto e noho mai ana hei tāhuhu tikanga mōku. Ko ngā taupānga hou kua oti kē nei i a Te Reo Irirangi Māori o Te Hiku o Te Ika hei taputapu e nanao atu ai a hau ki te pātaka kōrero o Te Hiku o Te Ika, e pai ai taku āta wānanga i ngā kupu, i ngā kōrero kei ngā rīpene e mau ana.
Tokowhitu katoa ngā kaumātua i āta arohia e ahau i tēnei rangahau nei, katoa i noho ai i Pukepoto. Ko tāku, he āta whakataringa atu ki wā rātou kōrero, ka āta arotake ai i wētahi kupu, i wētahi kīwaha, i wētahi whakatakotoranga rerenga kōrero i kaha whakahuangia e rātou mā. Kei te puke tuaono te roanga o ngā kōrero mō ngā kitenga o te rangahau; i mārama te kite atu he tini ngā momo kupu, ngā kīwaha me ngā rerenga kōrero he tikanga kē atu wō rātou, he whakamahinga kē anō, ka mutu, arā wētahi kāhore e tino rangona ana i wēnei wā nei. Nō reira, ko tā tēnei rangahau e whai ana kia whakahokia wēnei āhuatanga o te reo ki ngā arero o ngā uri whakaheke o Pukepoto, o Te Rarawa, otirā o Te Hiku o te Ika.

year: 2021