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Provenance of a ‘sense-sational’ wait: A call for introducing sensory processing differences into diagnostic criteria for Attention Deficit Hyperactivity Disorder
Get PDFReading the Barbie movie through cyberfeminism: Barbie Land as cyberfeminist utopia
Get PDFIn this paper I explore Barbie (2023) through the lens of cyberfeminism to argue that Barbie Land can be conceptualised as a cyber feminist utopia. I draw specifically on Haraway’s (1985) concept of the cyborg, and Plant’s (1997) literature, to examine how Barbie herself is produced as a cyborg in the film and how Barbie Land draws parallels to virtual spaces. Themes of boundary blurring and transgression are central to this discussion, and I apply these concepts to key moments in the film to highlight how Barbie (2023) can be read as a nuanced feminist film. By placing Barbie (2023) in conversation with cyberfeminist thinking I challenge the notion that Barbie is a postfeminist figure, instead advocating that the Barbie movie offers Barbie Land as a space for conceptualising Barbie as inherently political
Regulation of winter river input on the nutrient structure of typical tropical bays around Leizhou Peninsula, South China
No full textElucidating the regulatory mechanisms of terrestrial input on bay nutrients is essential for comprehending the ecological stability of bays. This paper investigates nutrients' structure, transport, and transformation processes in typical tropical bays of the Leizhou Peninsula during river input, utilizing fixed-site observation data from five distinct bay locations during November 2022. The results show that the average concentrations of TN, TP, DIN and DIP in the rivers of Leizhou Peninsula were 5.162 mg L−1 (2.263–13.610 mg L−1), 0.092 mg L−1 (0.026–0.288 mg L−1), 2.195 mg L−1 (0.897–4.081 mg L−1), 0.042 mg L−1 (0.002–0.147 mg L−1). The average concentrations of TN, TP, DIN and DIP in the bay were 0.491 mg L−1 (0.282–0.843 mg L−1), 0.041 mg L−1 (0.018–0.073 mg L−1), 0.245 mg L−1 (0.019–0.614 mg L−1), 0.021 mg L-1 (0.005–0.045 mg L−1). The ratio of TN/TP in the bay averaged 29 (17–48), and the ratio of DIN/DIP averaged 35.1 (8–298). The mean Chl-a concentration in the bay was 7.131 mg L−1 (0.927–25.076 mg L−1). The bays along the Leizhou Peninsula are still heavily influenced by rivers during winter. There are higher concentrations of nutrients in the bays, and there is higher nutrient input flux from rivers. The significant negative correlation between nutrient concentration and salinity in the bay indicates that river input is an important source of nutrients in the bay. As water transports from the river to offshore, the ratio of dissolved inorganic nitrate to dissolved inorganic phosphorus shifts from phosphorus limitation to nitrogen limitation. Leizhou Bay and Jianjiang Bay are heavily influenced by riverine inputs and coastal activities and are potentially at risk of eutrophication. Anpu Bay is subject to both riverine and other sources of inputs but has a better self-purification capacity. The results suggest that nutrient transport in Leizhou Peninsula rivers is regulated by both physical and biogeochemical processes. It is recommended that the monitoring of nutrient discharges from rivers be strengthened, total land-based pollution should be controlled, and industrial structures along the rivers should be adjusted and the control of total land-based pollution, and to adjust the industrial structure along the rivers to reduce the risk of water quality deterioration
Machine-learning clustering analysis identifies novel phenogroups in patients with ST-elevation acute myocardial infarction
No full textBackground
Machine learning clustering of patients with ST-elevation acute myocardial infarction (STEMI) may provide important insights into their risk profile, management and prognosis.
Methods
All adult discharges for STEMI in the National Inpatient Sample (October 2015 to December 2019) were included, excluding patients with prior myocardial infarction. Machine-learning clustering analysis was used to define clusters based on 21 clinical attributes of interest. Main outcomes of the study were cluster-based comparison of risk profile, in-hospital clinical outcomes and utilization of invasive management. Binomial hierarchical multivariable logistic regression with adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) was used to detect the between-cluster differences.
Results
Out of overall 470,960 STEMI cases, the machine-learning analysis revealed 4 different clusters with 205,640 (cluster 0: ‘behavioural risk cluster’), 146,400 (cluster 1: ‘least comorbidity cluster’), 45,100 (cluster 2: ‘diabetes with end-organ damage cluster’) and 73,820 (cluster 3: ‘cardiometabolic cluster’) cases. Attributes with the highest importance for clustering were hypertension and diabetes. After multivariable adjustment, patients from ‘diabetes with end-organ damage cluster’ exhibited the worst mortality, MACCE and ischemic stroke (p < 0.001 for all), as well as the lowest utilization of invasive management (p < 0.001 for all), in comparison to other clusters. Patients from ‘behavioural risk cluster’ exhibited the best in-hospital prognosis and the highest utilization of invasive management, compared to other clusters (p < 0.001 for all).
Conclusions
Machine learning driven clustering of inpatients with STEMI reveals important population subgroups with distinct prevalence, risk profile, prognosis and management. Data driven approaches may identify high risk phenogroups and warrants further study
Hedge and safe haven role of commodities for the US and Chinese equity markets
No full textWe examine the hedge and safe‐haven properties of four commodity classes (precious metals, energy, agriculture and livestock) for the overall and sectoral equity markets of the US and China. In doing so, we employ two quantiles‐based approaches, quantile regression and cross‐quantilogram, using daily data from 25 September 2014 to 06 July 2020. The hedging effectiveness (HE) and time‐varying conditional diversification benefits (CDB) are estimated. Our findings indicate that precious metals and agricultural commodities are weak safe havens for all equity sectors of China and the United States. In contrast, energy and livestock commodities are weak safe havens only for the information technology and healthcare sectors. Precious metals show better HE, whereas all commodities offer strong CDB. Our findings may be helpful for sectoral investors offsetting equity losses by investing in various commodity classes
Strengthening Africa’s response to Mpox (monkeypox): insights from historical outbreaks and the present global spread
Get PDFMpox, formerly known as Monkeypox, is a viral zoonotic disease endemic to Central and West Africa that has posed significant public health challenges since its identification in 1970. Despite decades of experience in managing outbreaks, the 2022–2024 Mpox outbreaks exposed substantial gaps in global preparedness and response, leading the World Health Organization (WHO) to declare the outbreak a Public Health Emergency of International Concern (PHEIC) in 2022. The resurgence of cases in Europe in 2022 and the more recent emergence of the virulent clade Ⅰb in the Democratic Republic of the Congo (DRC) in 2024 have highlighted a critical need for improved proactive and response strategies to curb the epidemic. This narrative review examines the historical and recent epidemiology of Mpox in Africa and explores the factors that have limited effective management. These include objective influences such as viral mutations, zoonotic transmission patterns, and environmental changes like deforestation, as well as subjective factors, including delayed responses, limited vaccine availability, cessation of smallpox vaccinations, and inequitable access to healthcare. In particular, the review emphasizes the ongoing disparities in global health equity, as wealthier nations have been able to secure vaccines and therapeutics quickly, while endemic regions in Africa continue to struggle with limited resources. The review also discusses how socioeconomic and cultural factors, combined with weak public health infrastructure and inadequate surveillance systems, perpetuate cycles of outbreak in vulnerable populations. Furthermore, the emergence of clade Ⅰb in 2024, with its higher virulence and mortality rates among children, particularly in rural areas, underscores the urgency of addressing the evolving epidemiological landscape of Mpox. In response to these challenges, this review recommends strengthening healthcare infrastructure, enhancing surveillance systems, ensuring equitable access to vaccines and treatments, and integrating environmental management into public health strategies. Global collaboration remains essential to provide African countries with the resources and support needed to manage and prevent future outbreaks effectively. Without these measures, the world risks a prolonged public health crisis with far-reaching consequences for both Africa and the global community
