AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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Employment of a high throughput functional assay to define the critical factors that influence vaccine induced cross-variant neutralizing antibodies for SARS-CoV-2 by Gu, Yue, Shunmuganathan, Bhuvaneshwari, Qian, Xinlei, Gupta, Rashi, Tan, Rebecca S. W., Kozma, Mary, Purushotorman, Kiren, Murali, Tanusya M., Tan, Nikki Y. J., Preiser, Peter Rainer, Lescar, Julien, Nasir, Haziq, Somani, Jyoti, Tambyah, Paul A., Smith, Kenneth G. C., Renia, Laurent, Ng, Lisa F. P., Lye, David C., Young, Barnaby E., MacAry, Paul A.

“…These data illustrate how key virological factors such as immune escape mutations combined with host demographic factors such as age and sex of the vaccinated individual influence the strength and duration of cross-protective serological immunity for COVID-19.…”
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User acceptance of 2D embryology animation: early embryogenesis made easy by Yin, Chin Hui, Jaysri, Faris Hazreen, Wan Mohamed Zuri, Wan Nur Syaziyah, Nasharuddin, Nurul Amelina, Mohd Nor, Nurul Huda, Sa'at, Azmah, Hod, Rafidah, Mohd Nazan, Ahmad Iqmer Nashriq, Mohamad Asri, Siti Fadziyah, Abas, Razif

“…However, disparities emerged among demographic groups, suggesting a need for tailored approaches to optimise digital learning experiences. …”
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The willingness and actual behaviour of teachers’ participation in university governance in China based on theory of planed behaviour by Wang, Wenjing, Hasmadi, Hassan

“…The study will include demographic information, attitudes, subjective norms, perceived behavioural control, willingness and actual participation in university governance. …”
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The Inspiration Design Toolkit: A Human-Centered Design Tool for a System Engineering Course by Lee, Sheng-Hung, Yang, Maria C, Carramolino, Beatriz, Rudnik, John

“…For future research, we want to understand how learners like and use IDT through demographic differences and preferred self-identified learning styles. …”
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Poor man’s 1000 genome project : recent human population expansion confounds the detection of disease alleles in 7,098 complete mitochondrial genomes by Kim, Hie Lim, Schuster, Stephan C.

“…In this dataset we identified 6,110 single nucleotide variants (SNVs) and their frequency and determined that the best-fit demographic model for the 7,098 genomes included severe population bottlenecks and exponential expansions of the non-African population. …”
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Age differences in leadership positions across cultures by Vaughan-Johnston, Thomas, Imtiaz, Faizan, Lee, Albert, Ji, Li-Jun

“…A by-product of these demographic shifts is that older adults will likely occupy more positions of power and influence in our societies than ever before. …”
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Automated risk prediction of post-stroke adverse mental outcomes using artificial intelligence and machine learning by Oei, Chien Wei

“…This study collected demographic and sociological data, quality of life scores, stroke-related information, medical and medication history, and comorbidities. …”
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Exploring lesbian identity: attraction and repulsion factors among the lesbian community in Selangor, Malaysia by Karim, Nursyahira, Marof, Aini Azeqa, Abdullah, Haslinda

“…This focused examination can serve as a crucial resource for social scientists, policymakers, and LGBTQ+ advocacy groups looking to understand the unique challenges and motivators within this specific demographic.…”
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Racial Steering by Large Language Models: A Prospective Audit of GPT-4 on Housing Recommendations by Liu, Eric, So, Wonyoung, Hosoi, Peko, D'Ignazio, Catherine

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Coping with waves and stress: a jobs-demands resources model analysis of seafarers' mental health post COVID-19 by Lim, Elaine Kai Ting

“…ANOVA test was conducted to access variances in how respondents perceived these factors based on specific demographic criteria. Multiple Regression Model analysis was performed to examine the associations between environment, job stressors, job strains, relationship with organization and supervisors and relationship with colleagues, job satisfaction, burnout, and turnover intention. …”
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Automated detection of cerebral microbleeds on MR images using knowledge distillation framework by Sundaresan, V, Arthofer, C, Zamboni, G, Murchison, AG, Dineen, RA, Rothwell, PM, Auer, DP, Wang, C, Miller, KL, Tendler, BC, Alfaro-Almagro, F, Sotiropoulos, SN, Sprigg, N, Griffanti, L, Jenkinson, M

“…We used four datasets consisting of different modalities specified above, acquired using various protocols and with a variety of pathological and demographic characteristics.</p> <p><b>Results:</b> On cross-validation within datasets, our method achieved a cluster-wise true positive rate (TPR) of over 90% with an average of <2 false positives per subject. …”

Clinical and neuroimaging markers of prodromal neurodegeneration in rapid eye movement sleep behaviour disorder by Barber, TR

“…Genetic, environmental and demographic factors differed between PD and RBD groups. …”

Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey by Perrotta, D, Grow, A, Rampazzo, F, Cimentada, J, Del Fava, E, Gil-Clavel, S, Zagheni, E

“…We investigated how the threat perceptions of COVID-19, the confidence in the preparedness of organisations to deal with the pandemic, and the adoption of preventive and social distancing behaviours are associated with respondents’ demographic characteristics.</p> <p><strong>Results: </strong>We analysed 71,612 questionnaires collected between March 13-April 19, 2020. …”

Examining ‘The eye of the earth’ the Pan-Pacific idea & the British dominions, c. 1910-1940 by Phillips, SJ

“…It makes the case that to a diverse demographic globally, it proved a compelling regional geo-paradigm; the institutions it inspired, significant inter-imperial spaces for representatives from the former British Dominions to consider their society’s place in the world and the region’s globality.…”

Burden of diseases attributable to excess body weight in 204 countries and territories, 1990–2019 by Safiri, S, Grieger, JA, Ghaffari Jolfayi, A, Mousavi, SE, Nejadghaderi, SA, Fazlollahi, A, Sullman, MJM, Karamzad, N, Sahin, F, Singh, K, Collins, GS, Kolahi, A

“…This trend aligns with socio-demographic indices and is influenced by the physical activity levels and dietary habits of these populations.…”

Predictors for severe persisting pain in rheumatoid arthritis are associated with pain origin and appraisal of pain by Baerwald, CG, Stemmler, E, Gnüchtel, S, Jeromin, K, Fritz, B, Bernateck, M, Adolf, D, Taylor, PC, Baron, R

“…The latter continued until week 48. Demographic data, DAS28-CRP, visual analogue scale for pain, painDETECT questionnaire (PD-Q) to identify neuropathic pain (NeP), and the Pain Catastrophizing Scale (PCS) were assessed and tested for relation to persisting pain.…”

Uncovering latent features in massive open online courses by Gillani, N

“…We observe that the inferred communities are differentiated by the nature and topic of dialogue, as well as their composite students' demographic and course performance indicators. While qualitative analysis confirms these detected communities, additional quantitative sensitivity analysis shows that they are not crisply defined, illuminating key challenges of applying Machine Learning techniques to model noisy and incomplete learner data.…”

Belgrave's quest for moral order in Bahrain, 1926-1957 by Fakhro, E

“…</p> <p>The thesis places the project of moral regulation in its historic context, and identifies it as a response to social and demographic changes taking place in Bahrain following two transformative events: the discovery of oil in 1932, and the outbreak of the Second World War in 1939. …”

Enhancing trauma triage in low-resource settings using machine learning: a performance comparison with the Kampala Trauma Score by Nsubuga, M, Kintu, TM, Please, H, Stewart, K, Navarro, SM

“…By leveraging basic demographic and clinical data, these models could provide a foundation for improved resource allocation and patient outcomes, addressing the unique challenges of resource-limited settings. …”