1,048 research outputs found

    They [do more than] Interrupt Us from Sadness: Exploring the impact of participatory music making on social determinants of health and wellbeing for refugees in Australia

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    This paper reports on the outcomes of an exploratory narrative study on the impact of participatory music making on social determinants of health (SDOH) and wellbeing for refugees in Brisbane, Australia. A key component of this exploratory research was to map health and wellbeing outcomes of music participation using an existing SDOH framework developed by researchers in the field of health promotion (Schulz & Northridge, 2004). This paper maps reported health and wellbeing outcomes for five refugee and asylum seeker members of a participatory Brisbane-based music initiative, the Scattered People, along an SDOH continuum ranging from individual level through to macro level fundamental determinants of health.While most themes emerging from this study corresponded to distinct categories in the Schulz and Northridge SDOH framework, three key aspects, which were critical to the achievement of wellbeing for participants, did not fit any of the pre-defined categories. These were: cultural expression, music making, and consolidation of personal and social identity. The importance of those themes to participants suggests that music and wellbeing studies involving culturally diverse groups and from a SDOH perspective may need to consider broader, more relevant concepts. The paper provides recommendations for future interdisciplinary research in this field.

    Classification of Chest Diseases using Wavelet Transforms and Transfer Learning

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    Chest X-ray scan is a most often used modality by radiologists to diagnose many chest related diseases in their initial stages. The proposed system aids the radiologists in making decision about the diseases found in the scans more efficiently. Our system combines the techniques of image processing for feature enhancement and deep learning for classification among diseases. We have used the ChestX-ray14 database in order to train our deep learning model on the 14 different labeled diseases found in it. The proposed research shows the significant improvement in the results by using wavelet transforms as pre-processing technique.Comment: 8 pages, 4 figures, Presented in International Conference On Medical Imaging And Computer-Aided Diagnosis (MICAD 2020), proceeding will be published with Springer in their "Lecture Notes in Electrical Engineering (LNEE)" (ISSN: 1876-1100

    COVID-19 Clinical Research.

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    Introduction:While the global COVID-19 pandemic has challenged the entire humanity and health systems, it also triggered researchers to urgently perform clinical trials to assess the safety and efficacy of many agents and modalities to combat COVID-19. As of April 22, over 650 clinical studies have been registered both in USA and internationally. Results from these studies are also coming at a brisk pace in this unprecedented emergency. Areas covered:We searched the NCI website and Medline and summarize various national and international clinical trials and summarize few of the pivotal ones in this paper, including those specific to oncology population. Two hundred and eighty four studies are actively recruiting adults and children with confirmed COVID-19, including 25 are early-phase I/phase I, 72 phase II, 58 phase III, 12 phase IV, and 31 other trials. They can be categorized into four groups: drugs that combat SARS-CoV-2, immunomodulatory agents to counteract cytokine storm, convalescence plasma therapies and vaccines trials. Expert opinion:It is hoped that these efforts will results in a successful treatment to COVID-19, especially in a timely fashion before the second pandemic expected in fall. It is essential to acknowledge the devotion and hard work of the clinical research team and clinical research volunteers

    Existence of a Strong Correlation of Biomarkers and Mirna in Females With Metabolic Syndrome and Obesity in a Population of West Virginia

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    Objectives: Metabolic syndrome causes complications like cardiovascular disease and type 2 diabetes mellitus (T2DM). As metabolic syndrome develops, altered levels of cytokines and microRNAs (miRNA) are measurable in the circulation. We aimed to construct a panel detecting abnormal levels of cytokines and miRNAs in patients at risk for metabolic syndrome. Methods: Participants included 54 patients from a Family Medicine Clinic at Marshall University School of Medicine, in groups of: Control, Obese, and Metabolic Syndrome (MetS). Results: Serum levels of leptin, adiponectin, leptin: adiponectin ratio, IL-6, six miRNAs (320a, 197-3p, 23-3p, 221-3p, 27a-3p, and 130a-3p), were measured. Among the three groups, leptin, and leptin: adiponectin ratio, and IL-6 levels were highest in MetS, and levels in Obese were greater than Control (p\u3e0.05). Adiponectin levels were lower in Obese compared to Control, but lowest in MetS (p0.05). Conclusion: Our results support the clinical application of biomarkers in diagnosing early stage MetS, which will enable attenuation of disease progression before onset of irreversible complications. Since West Virginians are high-risk for developing MetS, our biomarker panel could reduce the disease burden on our population

    Identification of BRCA1 missense substitutions that confer partial functional activity: potential moderate risk variants?

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    Introduction: Many of the DNA sequence variants identified in the breast cancer susceptibility gene BRCA1 remain unclassified in terms of their potential pathogenicity. Both multifactorial likelihood analysis and functional approaches have been proposed as a means to elucidate likely clinical significance of such variants, but analysis of the comparative value of these methods for classifying all sequence variants has been limited. Methods: We have compared the results from multifactorial likelihood analysis with those from several functional analyses for the four BRCA1 sequence variants A1708E, G1738R, R1699Q, and A1708V. Results: Our results show that multifactorial likelihood analysis, which incorporates sequence conservation, co-inheritance, segregation, and tumour immunohistochemical analysis, may improve classification of variants. For A1708E, previously shown to be functionally compromised, analysis of oestrogen receptor, cytokeratin 5/6, and cytokeratin 14 tumour expression data significantly strengthened the prediction of pathogenicity, giving a posterior probability of pathogenicity of 99%. For G1738R, shown to be functionally defective in this study, immunohistochemistry analysis confirmed previous findings of inconsistent 'BRCA1-like' phenotypes for the two tumours studied, and the posterior probability for this variant was 96%. The posterior probabilities of R1699Q and A1708V were 54% and 69%, respectively, only moderately suggestive of increased risk. Interestingly, results from functional analyses suggest that both of these variants have only partial functional activity. R1699Q was defective in foci formation in response to DNA damage and displayed intermediate transcriptional transactivation activity but showed no evidence for centrosome amplification. In contrast, A1708V displayed an intermediate transcriptional transactivation activity and a normal foci formation response in response to DNA damage but induced centrosome amplification. Conclusion: These data highlight the need for a range of functional studies to be performed in order to identify variants with partially compromised function. The results also raise the possibility that A1708V and R1699Q may be associated with a low or moderate risk of cancer. While data pooling strategies may provide more information for multifactorial analysis to improve the interpretation of the clinical significance of these variants, it is likely that the development of current multifactorial likelihood approaches and the consideration of alternative statistical approaches will be needed to determine whether these individually rare variants do confer a low or moderate risk of breast cancer

    Are estrogen receptor-positive breast cancers in BRCA1 mutation carriers sporadic?

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    There is a strong association between BRCA1 mutation carrier status and estrogen receptor-negative breast cancer. This has led to the idea that estrogen receptor-positive breast cancers in BRCA1 mutation carriers may be incidental or sporadic in nature and not as a direct result of BRCA1 dysfunction. A recent paper in Breast Cancer Research challenges this view

    Things change: Women’s and men’s marital disruption dynamics in Italy during a time of social transformations, 1970-2003

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    We study women’s and men’s marital disruption in Italy between 1970 and 2003. By applying an event-history analysis to the 2003 Italian variant of the Generations and Gender Survey we found that the spread of marital disruption started among middle-highly educated women. Then in recent years it appears that less educated women have also been able to dissolve their unhappy unions. Overall we can see the beginning of a reversed educational gradient from positive to negative. In contrast the trend in men’s marital disruption risk appears as a change over time common to all educational groups, although with persisting educational differentials.determinants, educational differences, event history analysis, gender difference, Italy, marital disruption
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