A study of the collaborative process of volunteers in a literacy intervention programme in support of vulnerable children in South Africa

The development of early literacy skills is critical for all children in South Africa. Children receive language and literacy development support in the home, school, and community environments. Vulnerable children, such as orphans, may receive this support from volunteers in their home environments. Additional language development support systems in the form of programmes run by volunteers are important. This study describes and analyses the process of collaboration between six volunteers who are involved in languageliteracy programmes by examining how volunteers negotiate collaboration in promoting literacy development. This qualitative research study used a participatory action cycle design to investigate collaboration. A range of research methods such as focus groups, interviews, reflections and observations were used. Findings from this study provided insight into the identity of volunteers. They were people who had strong values in respect of literacy, a positive experience of volunteering, a sense of civic responsibility and an empathetic personality. The collaborative process was established through the presence of a strong common cause, vulnerability and trust among volunteers, a structured and well-led action cycle process, the development of self-reflection, and a passion to be change agents. Volunteers were able to problem solve and act to make changes to the intervention programme which included actions at a programme and volunteer level. The speechlanguage therapist (SLT’s) role was critical in a literacy-related intervention as a support for volunteers. The expertise of SLTs, namely knowledge in language and literacy development, was valued in streamlining the process of taking appropriate actions to enrich the literacy programme

Neurophysiological basis of rapid eye movement sleep behavior disorder:Informing future drug development

Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia characterized by a history of recurrent nocturnal dream enactment behavior and loss of skeletal muscle atonia and increased phasic muscle activity during REM sleep: REM sleep without atonia. RBD and associated comorbidities have recently been identified as one of the most specific and potentially sensitive risk factors for later development of any of the alpha-synucleinopathies: Parkinson’s disease, dementia with Lewy bodies, and other atypical parkinsonian syndromes. Several other sleep-related abnormalities have recently been identified in patients with RBD/Parkinson’s disease who experience abnormalities in sleep electroencephalographic frequencies, sleep–wake transitions, wake and sleep stability, occurrence and morphology of sleep spindles, and electrooculography measures. These findings suggest a gradual involvement of the brainstem and other structures, which is in line with the gradual involvement known in these disorders. We propose that these findings may help identify biomarkers of individuals at high risk of subsequent conversion to parkinsonism

Deep-learning-based image segmentation for uncommon ischemic stroke:From infants to adults

Developing deep learning-based algorithms that accurately segment structures in scans that are relevant to treatment or evaluation of the outcome of uncommon stroke is a difficult task. The difficulty is due to the presence of image artefacts, few data being available to train the networks, and the small volume of some of the target structures. Hence, the aim of this thesis was to investigate, develop, and evaluate deep learning-based algorithms for automatic segmentation of images of uncommon sub-types of stroke. In chapter two, transfer learning strategies for automated medical image segmentation were evaluated. Our results showed that pre-training on a segmentation task on the same domain as the target segmentation task yielded the greatest improvement in spatial agreement. However, our results have also shown that the choice of source task and domain have an inconsistent effect on the detection rate.In chapters three and four, segmentation algorithms for scans of patients suffering from posterior circulation stroke were developed. In chapter three, deep transfer learning was used to improve segmentation of lesions caused by posterior circulation stroke. In chapter four an algorithm, which restricted inference to the area surrounding the brain stem, was developed to segment thrombi in the posterior circulation. In chapter five, two instances of an algorithm were developed to segment brain tissue types and the ischemic lesion per hemisphere in patients suffering from perinatal arterial ischemic stroke. One instance segmented scans acquired at term, the other instance segmented scans acquired at follow-up

Extensive surgical cytoreduction and intraoperative hyperthermic intraperitoneal chemotherapy in patients with pseudomyxoma peritonei

Background: Pseudomyxoma peritonei remains a fatal disease. However, extensive surgical cytoreduction combined with intraoperative heated intraperitoneal chemotherapy (HIPEC) has recently emerged as a new treatment modality, which might improve survival. Methods: Patients underwent treatment if the tumour appeared to be technically resectable on preoperative abdominal computed tomography and there were no distant metastases. After aggressive surgical cytoreduction, HIPEC with the administration of mitomycin C was performed for 90 min. Depending on histological grading, patients received adjuvant 5-¯uorouracil and leucovorin therapy. Results: Forty-six patients were treated. Optimal surgical cytoreduction was obtained in 40 patients. Postoperative surgical complications occurred in 18 patients. Four patients died as a direct result of the treatment. Bone marrow suppression due to mitomycin C toxicity occurred in 22 patients. There was no other major toxicity related to the HIPEC procedure. After a median follow-up of 12 months, 40 patients are alive, eight of whom have proven recurrence. The actuarial survival rate (Kaplan±Meier) at 3 years was 81 per cent. Conclusion: These results con®rm that extensive surgery combined with HIPEC is feasible in patients with pseudomyxoma peritonei and that improved long-term survival might be achieved

Photodynamic therapy as adjuvant therapy in surgically treated pleural malignancies.

Five patients with a pleural malignancy (four malignant mesotheliomas and one localized low grade carcinoid) were treated with maximal surgical resection of the tumour followed by intraoperative adjuvant photodynamic therapy (PDT). The additional photodynamic treatment was performed with light of 652 nm from a high power diode laser, and meta-tetrahydroxy phenylchlorin as the photosensitizer. The light delivery to the thoracic cavity was monitored by in situ isotropic light detectors. The position of the light delivery fibre was adjusted to achieve optimal light distribution, taking account of reflected and scattered light in this hollow cavity. There was no 30-day post-operative mortality and only one patient suffered from a major complication (diaphragmatic rupture and haematopericardium). The operation time was increased by a maximum of 1 h to illuminate the total hemithoracic surface with 10 J cm(-2) (incident and scattered light). The effect of the adjuvant PDT was monitored by examination of biopsies taken 24 h after surgery under thoracoscopic guidance. Significant damage, including necrosis, was observed in the marker lesions with remaining malignancy compared with normal tissue samples, which showed only an infiltration with PMN cells and oedema of the striated muscles cells. Of the five patients treated, four are alive with no signs of recurrent tumour with a follow-up of 9-11 months. One patient was diagnosed as having a tumour dissemination in the skin around the thoracoscopy scar and died of abdominal tumour spread. Light delivery to large surfaces for adjuvant PDT is feasible in a relatively short period of time (< 1 h). In situ dosimetry ensures optimal light distribution and allows total doses (incident plus scattered light) to be monitored at different positions within the cavity. This combination of light delivery and dosimetry is well suited for adjuvant treatment with PDT in malignant pleural tumours

Sleep spindle alterations in patients with Parkinson's disease

The aim of this study was to identify changes of sleep spindles (SS) in the EEG of patients with Parkinson's disease (PD). Five sleep experts manually identified SS at a central scalp location (C3-A2) in 15 PD and 15 age- and sex-matched control subjects. Each SS was given a confidence score, and by using a group consensus rule, 901 SS were identified and characterized by their (1) duration, (2) oscillation frequency, (3) maximum peak-to-peak amplitude, (4) percent-to-peak amplitude, and (5) density. Between-group comparisons were made for all SS characteristics computed, and significant changes for PD patients vs. control subjects were found for duration, oscillation frequency, maximum peak-to-peak amplitude and density. Specifically, SS density was lower, duration was longer, oscillation frequency slower and maximum peak-to-peak amplitude higher in patients vs. controls. We also computed inter-expert reliability in SS scoring and found a significantly lower reliability in scoring definite SS in patients when compared to controls. How neurodegeneration in PD could influence SS characteristics is discussed. We also note that the SS morphological changes observed here may affect automatic detection of SS in patients with PD or other neurodegenerative disorders (NDDs)