sentence-transformers How to use dinushiTJ/nz-research-commons-embedding-gemma with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("dinushiTJ/nz-research-commons-embedding-gemma")
sentences = [
"maori_origin",
"title: Mutations of p53 gene and SV40 sequences in asbestos associated and non- asbestos-associated mesotheliomas\n\nauthors: Mayall, Frederick G.\n\nsubjects: mesothelioma\n\nabstract: AIM: To examine mesotheliomas for a possible relation between p53 immunostaining, p53 gene mutation, simian virus 40 (SV40), and asbestos exposure. METHODS: Paraffin sections from 11 mesotheliomas were used for p53 immunostaining and also to extract DNA. This was analysed for the presence of mutations in exons 5 to 8 of the p53 gene using a \"cold\" single strand conformational polymorphism method, together with sequencing. The DNA from the paraffin sections was also used to search for SV40 sequences. A 105 base pair segment at the 3' of the SV40 large T antigen (Tag) was targeted and any PCR amplification products were sequenced to confirm that they were of SV40 origin. EDAX electron microscopic differential mineral fibre counts were performed on dried lung tissue at a specialist referral centre. RESULTS: The fibre counts showed that seven of the mesotheliomas were associated with abnormally high asbestos exposure. Of these, two showed p53 immunostaining, none showed p53 gene mutation, and five showed SV40. Of the four other mesotheliomas, three showed p53 immunostaining, one showed a (silent) p53 mutation, and none showed SV40. The difference in frequency of SV40 detection was significant at the p < 0.05 level. CONCLUSIONS: Immunostaining for the p53 gene was relatively common but p53 mutations were rare in this series. SV40 virus sequence was detected in five of seven asbestos associated mesotheliomas but in none of the non-asbestos-associated mesotheliomas. This suggests there may be a synergistic interaction between asbestos and SV40 in human mesotheliomas. A study with a larger number of cases is needed to investigate these observations further.\n\ntext: Mutations of p53 gene and SV40 sequences in asbestos associated and non- asbestos-associated mesotheliomas AIM: To examine mesotheliomas for a possible relation between p53 immunostaining, p53 gene mutation, simian virus 40 (SV40), and asbestos exposure. METHODS: Paraffin sections from 11 mesotheliomas were used for p53 immunostaining and also to extract DNA. This was analysed for the presence of mutations in exons 5 to 8 of the p53 gene using a \"cold\" single strand conformational polymorphism method, together with sequencing. The DNA from the paraffin sections was also used to search for SV40 sequences. A 105 base pair segment at the 3' of the SV40 large T antigen (Tag) was targeted and any PCR amplification products were sequenced to confirm that they were of SV40 origin. EDAX electron microscopic differential mineral fibre counts were performed on dried lung tissue at a specialist referral centre. RESULTS: The fibre counts showed that seven of the mesotheliomas were associated with abnormally high asbestos exposure. Of these, two showed p53 immunostaining, none showed p53 gene mutation, and five showed SV40. Of the four other mesotheliomas, three showed p53 immunostaining, one showed a (silent) p53 mutation, and none showed SV40. The difference in frequency of SV40 detection was significant at the p < 0.05 level. CONCLUSIONS: Immunostaining for the p53 gene was relatively common but p53 mutations were rare in this series. SV40 virus sequence was detected in five of seven asbestos associated mesotheliomas but in none of the non-asbestos-associated mesotheliomas. This suggests there may be a synergistic interaction between asbestos and SV40 in human mesotheliomas. A study with a larger number of cases is needed to investigate these observations further.\n\nyear: 2013",
"title: Te Karauna Hou: the senior Ngati Rahiri rangatira\n\nauthors: Hart, Philip\n\nabstract: Te Karauna Hou, the principal Ngati Rahiri rangatira living at Te Aroha in 1880, had a distinguished whakapapa linking him to several hapu. Before settling permanently at Te Aroha in the 1870s he lived in several places, especially at Kaitawa, on the southern outskirts of Thames. One of the principal rangatira in Hauraki, he was loyal to the Crown during the Waikato War, and later assisted Pakeha settlement. To emphasize his mana and that of his hapu, he held big festivities at Kaitawa and at Omahu pa at Te Aroha. \r\nIn 1871, when Ngati Haua won a (temporary) victory in the land court over the ownership of the Aroha Block, Karauna took control of it on behalf of the Marutuahu confederation, and subsequently kept Ngati Haua at bay. For a time he opposed road-making on this block, but later agreed to it, for financial reasons. Like all rangatira, he sought to maximize his ownership of as many blocks of land as possible, sometimes having his lies exposed through his contradicting his earlier evidence. He also denied receiving money for land when his denials were easily disproved. Despite leasing and selling land, selling timber and gum, and opening his land to miners, he often struggled financially. \r\nKarauna claimed to have found gold in Hauraki in 1852, and was willing to open his land at Thames to miners, but did not invest in any claims before the Te Aroha rush, when he attempted to extract a bonus of £1,000 from the government for opening the field. After his death in 1885, Pakeha remembered with gratitude his friendly attitude to them, but they also remembered his drunkenness, which meant he lost the respect of both Maori and Pakeha in his latter years.\n\ntext: Te Karauna Hou: the senior Ngati Rahiri rangatira Te Karauna Hou, the principal Ngati Rahiri rangatira living at Te Aroha in 1880, had a distinguished whakapapa linking him to several hapu. Before settling permanently at Te Aroha in the 1870s he lived in several places, especially at Kaitawa, on the southern outskirts of Thames. One of the principal rangatira in Hauraki, he was loyal to the Crown during the Waikato War, and later assisted Pakeha settlement. To emphasize his mana and that of his hapu, he held big festivities at Kaitawa and at Omahu pa at Te Aroha. \r\nIn 1871, when Ngati Haua won a (temporary) victory in the land court over the ownership of the Aroha Block, Karauna took control of it on behalf of the Marutuahu confederation, and subsequently kept Ngati Haua at bay. For a time he opposed road-making on this block, but later agreed to it, for financial reasons. Like all rangatira, he sought to maximize his ownership of as many blocks of land as possible, sometimes having his lies exposed through his contradicting his earlier evidence. He also denied receiving money for land when his denials were easily disproved. Despite leasing and selling land, selling timber and gum, and opening his land to miners, he often struggled financially. \r\nKarauna claimed to have found gold in Hauraki in 1852, and was willing to open his land at Thames to miners, but did not invest in any claims before the Te Aroha rush, when he attempted to extract a bonus of £1,000 from the government for opening the field. After his death in 1885, Pakeha remembered with gratitude his friendly attitude to them, but they also remembered his drunkenness, which meant he lost the respect of both Maori and Pakeha in his latter years.\n\nyear: 2016",
"title: Mental health and wellbeing for young people from intersectional identity groups: Inequity for Māori, Pacific, Rainbow young people, and those with a disabling condition\n\nauthors: Roy, Rituparna\n\nsubjects: Māori\n\nabstract: ‘Intersectionality’ describes the converging effects of ethnicity, gender, sexuality, disability, and other social group characteristics that influence life experiences. We draw on a representative study of year 9-13 students in Tai Tokerau, Tāmaki Makaurau, and Waikato (Youth19) to explore differences in mental health and wellbeing outcomes for young people from a selection of intersectional identities (Māori, Pasifika, Rainbow, and young people with a Disabling Condition). We found a pervasive pattern of inequity for young people who have intersectional identities compared to those from the majority groups (i.e. Pākehā, non-disabled, cis-heterosexual youth). Intersectional youth had higher levels of inequity and faced a greater array of inequities. There was evidence of an additive effect for some indicators. Thematic analysis of open-text survey responses found the need for positive inclusive environments, and support for all young people, including those at the intersections of identity. Drawing on the findings, we offered several systemslevel policy recommendations, including strategies to improve inclusiveness and reduce discrimination.\n\ntext: Mental health and wellbeing for young people from intersectional identity groups: Inequity for Māori, Pacific, Rainbow young people, and those with a disabling condition ‘Intersectionality’ describes the converging effects of ethnicity, gender, sexuality, disability, and other social group characteristics that influence life experiences. We draw on a representative study of year 9-13 students in Tai Tokerau, Tāmaki Makaurau, and Waikato (Youth19) to explore differences in mental health and wellbeing outcomes for young people from a selection of intersectional identities (Māori, Pasifika, Rainbow, and young people with a Disabling Condition). We found a pervasive pattern of inequity for young people who have intersectional identities compared to those from the majority groups (i.e. Pākehā, non-disabled, cis-heterosexual youth). Intersectional youth had higher levels of inequity and faced a greater array of inequities. There was evidence of an additive effect for some indicators. Thematic analysis of open-text survey responses found the need for positive inclusive environments, and support for all young people, including those at the intersections of identity. Drawing on the findings, we offered several systemslevel policy recommendations, including strategies to improve inclusiveness and reduce discrimination.\n\nyear: 2023"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] 
