title: A study of zinc complexes of the metalloligand [Pt₂(μ-S)₂(PPh₃)₄] of the type [Pt₂(μ-S)₂(PPh₃)₄ZnL]⁺ (L = bidentate chelating ligand)

authors: Henderson, William

subjects: platinum complexes

abstract: Reactions of [Pt₂(μ-S)₂(PPh₃)₄] with zinc acetate and an ancillary chelating ligand L (HL = 8-hydroxyquinoline, 8-tosylaminoquinoline or maltol) with added trimethylamine in methanol give new cationic platinum–zinc sulfide aggregates [Pt₂(μ-S)₂(PPh₃)₄ZnL]+, isolated as their BF4− salts. The complexes were characterized by NMR spectroscopy, ESI mass spectrometry, microelemental analysis, and an X-ray structure determination of the tosylamidoquinoline derivative [Pt₂(μ-S)₂(PPh₃)₄Zn(TAQ)]BF₄, which showed a distorted tetrahedral coordination geometry at zinc. Additional examples, containing picolinate, dithiocarbamate, or dithiophosphinate ligands were also synthesized and partly characterized in order to demonstrate a wider range of available derivatives.

text: A study of zinc complexes of the metalloligand [Pt₂(μ-S)₂(PPh₃)₄] of the type [Pt₂(μ-S)₂(PPh₃)₄ZnL]⁺ (L = bidentate chelating ligand) Reactions of [Pt₂(μ-S)₂(PPh₃)₄] with zinc acetate and an ancillary chelating ligand L (HL = 8-hydroxyquinoline, 8-tosylaminoquinoline or maltol) with added trimethylamine in methanol give new cationic platinum–zinc sulfide aggregates [Pt₂(μ-S)₂(PPh₃)₄ZnL]+, isolated as their BF4− salts. The complexes were characterized by NMR spectroscopy, ESI mass spectrometry, microelemental analysis, and an X-ray structure determination of the tosylamidoquinoline derivative [Pt₂(μ-S)₂(PPh₃)₄Zn(TAQ)]BF₄, which showed a distorted tetrahedral coordination geometry at zinc. Additional examples, containing picolinate, dithiocarbamate, or dithiophosphinate ligands were also synthesized and partly characterized in order to demonstrate a wider range of available derivatives.

year: 2013

title: SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams

authors: Sun, Yibin

abstract: Most research in machine learning for data streams has focused on classification algorithms, whereas regression methods have received a lot less attention. This paper proposes Self-Optimising K-Nearest Leaves (SOKNL), a novel forest-based algorithm for streaming regression problems. Specifically, the Adaptive Random Forest Regression, a state-of-the-art online regression algorithm is extended like this: in each leaf, a representative data point – also called centroid – is generated by compressing the information from all instances in that leaf. During the prediction step, instead of letting all trees in the forest participate, the distances between the input instance and all centroids from relevant leaves are calculated, only k trees that possess the smallest distances are utilised for the prediction. Furthermore, we simplify the algorithm by introducing a mechanism for tuning the k values, which is dynamically and automatically optimised based on historical information. This new algorithm produces promising predictive results and achieves a superior ranking according to statistical testing when compared with several standard stream regression methods over typical benchmark datasets. This improvement incurs only a small increase in runtime and memory consumption over the basic Adaptive Random Forest Regressor.

text: SOKNL: A novel way of integrating K-nearest neighbours with adaptive random forest regression for data streams Most research in machine learning for data streams has focused on classification algorithms, whereas regression methods have received a lot less attention. This paper proposes Self-Optimising K-Nearest Leaves (SOKNL), a novel forest-based algorithm for streaming regression problems. Specifically, the Adaptive Random Forest Regression, a state-of-the-art online regression algorithm is extended like this: in each leaf, a representative data point – also called centroid – is generated by compressing the information from all instances in that leaf. During the prediction step, instead of letting all trees in the forest participate, the distances between the input instance and all centroids from relevant leaves are calculated, only k trees that possess the smallest distances are utilised for the prediction. Furthermore, we simplify the algorithm by introducing a mechanism for tuning the k values, which is dynamically and automatically optimised based on historical information. This new algorithm produces promising predictive results and achieves a superior ranking according to statistical testing when compared with several standard stream regression methods over typical benchmark datasets. This improvement incurs only a small increase in runtime and memory consumption over the basic Adaptive Random Forest Regressor.

year: 2022-09-01

title: Wāhine Whaiora: Māori Women's Experiences of Bipolar Disorder and their Pathways to Recovery

authors: Harris, Parewahaika Erenora Te Korowhiti

subjects: Māori health

abstract: This research examines the unique, lived experiences of wāhine Māori (Māori women) who have been diagnosed with bipolar affective disorder and who are currently living ‘well’. Recent literature indicates that Māori present at higher rates than non-Māori with bipolar disorder. However, there is little qualitative information about the nature of their experiences, as well as sparse detail of the impacts that bipolar has on their everyday living.

The purpose of this research is to highlight Māori women’s experiences of bipolar disorder from initial presentation and assessment through to diagnosis, treatment and recovery.  It focuses on the impact bipolar disorder has on women’s relationships with their tamariki (children), whānau (family), and partners, while also exploring social and personal impacts, help-seeking patterns, and stories of recovery.
This research heard the stories of 11 wāhine Māori using a narrative-storying technique to allow wāhine to share their unique experiences as they recalled them. A thematic analysis was then used to identify key themes that depicted their journeys of:

•	Illness and symptom presentation;
•	Consequences and impacts of bipolar disorder; 
•	Support and help-seeking; and
•	Wellness and recovery.

The intent of this research is to create an awareness of the nature of bipolar disorder as it affects wāhine Māori. It endeavours to expose the experiences they have encountered and their aspirations to be better supported by whānau, and community organisations in their attempts to live active and well lives.

text: Wāhine Whaiora: Māori Women's Experiences of Bipolar Disorder and their Pathways to Recovery This research examines the unique, lived experiences of wāhine Māori (Māori women) who have been diagnosed with bipolar affective disorder and who are currently living ‘well’. Recent literature indicates that Māori present at higher rates than non-Māori with bipolar disorder. However, there is little qualitative information about the nature of their experiences, as well as sparse detail of the impacts that bipolar has on their everyday living.

The purpose of this research is to highlight Māori women’s experiences of bipolar disorder from initial presentation and assessment through to diagnosis, treatment and recovery.  It focuses on the impact bipolar disorder has on women’s relationships with their tamariki (children), whānau (family), and partners, while also exploring social and personal impacts, help-seeking patterns, and stories of recovery.
This research heard the stories of 11 wāhine Māori using a narrative-storying technique to allow wāhine to share their unique experiences as they recalled them. A thematic analysis was then used to identify key themes that depicted their journeys of:

•	Illness and symptom presentation;
•	Consequences and impacts of bipolar disorder; 
•	Support and help-seeking; and
•	Wellness and recovery.

The intent of this research is to create an awareness of the nature of bipolar disorder as it affects wāhine Māori. It endeavours to expose the experiences they have encountered and their aspirations to be better supported by whānau, and community organisations in their attempts to live active and well lives.

year: 2014