481 research outputs found

    The Ethnic 'Other' in Ukrainian History Textbooks: The Case of Russia and the Russians

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    This paper examines portrayals of Russia and the Russians in two generations of Ukrainian history textbooks. It observes that the textbooks are highly condemning of Ukraine's main ethnic other in the guise of foreign ruler: the tsarist authorities and the Soviet regime are always attributed dubious and malicious intentions even if there is appreciation for some of their policies. By contrast, the books, certainly those of the second generation, refrain from presenting highly biased accounts of the ethnic other as a national group (i.e. Russians). Instances where negative judgements do fall onto Russians are counterbalanced by excerpts criticizing ethnic Ukrainians or highlighting conflicting interests within the Ukrainian ethnic group. The negative appraisal of the ethnic other as foreign ruler is clearly instrumental for the nation-building project as it sustains a discourse legitimating the existence of Ukraine as independent state. However, recent trends in history education, the paper concludes, suggest that the importance of nurturing patriotism as a national policy objective is diminishing

    The Impact of the COVID-19 Pandemic on the Psychological Well-Being of Caregivers of People with Dementia or Mild Cognitive Impairment: A Systematic Review and Meta-Analysis

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    The aim of this systematic review was to investigate the effects of the COVID-19 lockdown on the psychological well-being of caregivers of people with dementia or mild cognitive impairment (PwD/MCI). Electronic databases were searched from inception to August 2022 for observational studies investigating the COVID-19 lockdown and psychological well-being of caregivers of PwD/MCI. Summary estimates of standardized mean differences (SMD) in psychological well-being scores pre- versus during COVID-19 were calculated using a random-effects model. Fifteen studies including 1702 caregivers (65.7% female, mean age 60.40 ± 12.9 years) with PwD/MCI were evaluated. Five studies found no change in psychological well-being parameters, including depression, anxiety, distress, caregiver burden, and quality of life. Ten studies found a worsening in at least one parameter: depression (six studies, n = 1368; SMD = 0.40; 95%CI: 0.09–0.71; p = 0.01, I2 = 86.8%), anxiety (seven studies, n = 1569; SMD = 1.35; 95%CI: 0.05–2.65; I2 = 99.2%), caregiver distress (six studies, n = 1320, SMD = 3.190; 95%CI: 1.42–4.95; p < 0.0001; I2 = 99.4%), and caregiver burden (four studies, n = 852, SMD = 0.34; 95%CI: 0.13–0.56; p = 0.001; I2 = 54.1%) (p < 0.05). There was an increase in depression, anxiety, caregiver burden, and distress in caregivers of PwD/MCI during the lockdown in the COVID pandemic. This could have longer term consequences, and it is essential that caregivers’ psychological well-being is assessed and supported, to benefit both themselves and those for whom they care

    The association of pain with suicidal ideation and suicide attempts with depressive symptoms among adults aged ≥50 years from low- and middle-income countries

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    Objectives: We aimed to examine the relationship of pain with suicidal ideation and suicide attempts with depressive symptoms among adults aged ≥50 years from six low- and middle-income countries (LMICs) (China, Ghana, India, Mexico, Russia, and South Africa). Methods: Cross-sectional, community-based, nationally representative data from the WHO Study on global AGEing and adult health were analyzed. Self-reported information on past 12-month suicidal ideation and suicide attempts among people with depressive symptoms was collected. Pain was assessed with the question “Overall in the last 30 days, how much of bodily aches or pain did you have?” With answer options: “none”, “mild”, “moderate”, “severe/extreme”. Multivariable logistic regression was done to assess associations. Results: Data on 34,129 adults aged ≥50 years (mean [SD] age 62.4 [16.0] years; males 47.9%) were analyzed. Compared to no pain, mild, moderate, and severe/extreme pain were associated with 2.83 (95% CI = 1.51–5.28), 4.01 (95% CI = 2.38–6.76), and 12.26 (95% CI = 6.44–23.36) times higher odds for suicidal ideation. For suicide attempt, only severe/extreme pain was associated with significantly increased odds (OR = 4.68; 95% CI = 1.67–13.08). Conclusions: In this large sample of older adults from multiple LMICs, pain was strongly associated with suicidal thoughts and suicide attempts with depressive symptoms. Future studies should assess whether addressing pain among older people in LMICs may lead to reduction in suicidal thoughts and behaviors

    Physical Multimorbidity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries

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    Introduction: Physical multimorbidity is plausibly linked to sarcopenia. However, to date, only a few studies exist on this topic, and none have examined this association in low- and middle-income countries (LMICs). Thus, we aimed to investigate the association between multimorbidity and sarcopenia in a sample of older adults from six LMICs (China, Ghana, India, Mexico, Russia, South Africa). Methods: Cross-sectional, community-based data from the WHO Study on Global Ageing and Adult Health (SAGE) were analysed. Sarcopenia was defined as having low skeletal muscle mass (SMM) and weak handgrip strength, while severe sarcopenia was defined as having low SMM, weak handgrip strength, and slow gait speed. A total of 11 physical chronic conditions were assessed and multimorbidity referred to ≥2 chronic conditions. Multivariable logistic regression analysis was conducted. Results: Data on 14,585 adults aged ≥65 years were analysed (mean age 72.6 years, SD 11.5 years; 53.7% females). Adjusted estimates showed that compared to no chronic physical conditions, ≥2 conditions are significantly associated with 1.49 (95% CI = 1.02–2.19) and 2.52 (95% CI = 1.53–4.15) times higher odds for sarcopenia and severe sarcopenia, respectively. Conclusions: In this large sample of older adults from LMICs, physical multimorbidity was significantly associated with sarcopenia and severe sarcopenia. Our study results tentatively suggest that targeting those with multimorbidity may aid in the prevention of sarcopenia, pending future longitudinal research

    Between Citizenship and Human Rights

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    This article explores the effects of the legalization of international human rights on citizens and non-citizens within states. Adopting a sociological approach to rights it becomes clear that, even in Europe, the cosmopolitanization of law is not necessarily resulting in greater equality and justice. In fact, ‘actually existing’ cosmopolitan citizenship is characterized by a proliferation of status groups that concretize new forms of inequality, including those of super-citizens, marginal citizens, quasi-citizens, sub-citizens and un-citizens. Far from inaugurating a new era of genuinely universal human rights, in some cases cosmopolitan law may even contribute to the creation of conditions in which fundamental human rights are violated

    Citizenship and Inclusion: Rethinking the Analytical Category of Noncitizenship

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    The paper problematises the category of noncitizenship. It traces its trajectory in accounts of inclusive citizenship and argues that it is difficult to theorise it as a distinct theoretical category outside of citizenship. To support this argument, the paper distinguishes between a pluralist, political and democratic variant of accounts of inclusive citizenship and it shows how they all end up reducing noncitizenship to a journey to citizenship. To overcome this limit, the paper develops the idea of subversive politicisation and suggests that injustices and inequalities can be challenged without falling back on the vocabulary of citizenship

    Hybrid multicriteria fuzzy classification of network traffic patterns, anomalies, and protocols

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    © 2017, Springer-Verlag London Ltd., part of Springer Nature. Traffic classification in computer networks has very significant roles in network operation, management, and security. Examples include controlling the flow of information, allocating resources effectively, provisioning quality of service, detecting intrusions, and blocking malicious and unauthorized access. This problem has attracted a growing attention over years and a number of techniques have been proposed ranging from traditional port-based and payload inspection of TCP/IP packets to supervised, unsupervised, and semi-supervised machine learning paradigms. With the increasing complexity of network environments and support for emerging mobility services and applications, more robust and accurate techniques need to be investigated. In this paper, we propose a new supervised hybrid machine-learning approach for ubiquitous traffic classification based on multicriteria fuzzy decision trees with attribute selection. Moreover, our approach can handle well the imbalanced datasets and zero-day applications (i.e., those without previously known traffic patterns). Evaluating the proposed methodology on several benchmark real-world traffic datasets of different nature demonstrated its capability to effectively discriminate a variety of traffic patterns, anomalies, and protocols for unencrypted and encrypted traffic flows. Comparing with other methods, the performance of the proposed methodology showed remarkably better classification accuracy
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