bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of the Fundamental Causes Behind the Collapse of the Soviet Union is an Urgent Problem for Russian Science (Russian Federation Council)
Authors: Degtyarev A. Ya. 
Published: April 2022

AbstractAccording to the author, Soviet localization policy and the almost complete expulsion of Russians from the administrative apparatuses of the Union republics predetermined the avalanche-like sovereignization at the end of the 1980s–beginning of the 1990s. The factor that accelerated this process was the ill-conceived chaotic policy adopted by the leadership of the Central Committee of the Communist Party of the Soviet Union (CC CPSU) and the Politburo, headed by M.S. Gorbachev.
“Ah, Comrade Descendants, Socialism was Built on Trickery”
Authors: Krasovitskaya T. Yu. , Khristoforov V. S. 
Published: April 2022

Abstract
This article contains a polemic with conclusions by B.N. Mironov. The author points out that the 1920s forced the authorities in the USSR to use the external signs of the federal structure to establish control over the national margins of the former Russian Empire. Federalism, in her opinion, was a lateral and induced branch of the party goal. During the 1920s, many national leaders who had previously collaborated with the Soviet government were replaced, killed, or exiled. A monopolistic organization of power, reliance on the administrative levers of control, a strict hierarchy of the political elite, and the ideologization of the political system as a whole were established in the country.
Can medical algorithms be fair? Three ethical quandaries and one dilemma
Authors: Bærøe Kristine , Gundersen Torbjørn , Henden Edmund , Rommetveit Kjetil 
Published: April 2022

ObjectiveTo demonstrate what it takes to reconcile the idea of fairness in medical algorithms and machine learning (ML) with the broader discourse of fairness and health equality in health research.MethodThe methodological approach used in this paper is theoretical and ethical analysis.ResultWe show that the question of ensuring comprehensive ML fairness is interrelated to three quandaries and one dilemma.DiscussionAs fairness in ML depends on a nexus of inherent justice and fairness concerns embedded in health research, a comprehensive conceptualisation is called for to make the notion useful.ConclusionThis paper demonstrates that more analytical work is needed to conceptualise fairness in ML so it adequately reflects the complexity of justice and fairness concerns within the field of health research.
Impact of air temperature and containment measures on mitigating the intrahousehold transmission of SARS-CoV-2: a data-based modelling analysis
Authors: Liu Di , Tai Qidong , Wang Yaping , Pu Miao , Zhang Lei , Su Bo 
Published: April 2022

ObjectivesAir temperature has been considered a modifiable and contributable variable in COVID-19 transmission. Implementation of non-pharmaceutical interventions (NPIs) has also made an impact on COVID-19 transmission, changing the transmission pattern to intrahousehold transmission under stringent containment measures. Therefore, it is necessary to re-estimate the influence of air temperature on COVID-19 transmission while excluding the influence of NPIs.Design, setting and participantsThis study is a data-based comprehensive modelling analysis. A stochastic epidemiological model, the ScEIQR model (contactable susceptible-exposed-infected-quarantined-removed), was established to evaluate the influence of air temperature and containment measures on the intrahousehold spread of COVID-19. Epidemic data on COVID-19, including daily confirmed cases, number of close contacts, etc, were collected from the National Health Commission of China.Outcome measuresThe model was fitted using the Metropolis-Hastings algorithm with a cost function based on the least squares method. The LOESS (locally weighted scatterplot smoothing) regression function was used to assess the relationship between air temperature and rate of COVID-19 transmission within the ScEIQR model.ResultsThe ScEIQR model indicated that the optimal temperature for spread of COVID-19 peaked at 10℃ (50℉), ranging from 5℃ to 14℃ (41℉−57.2℉). In the fitted model, the fitted intrahousehold transmission rate (β’) of COVID-19 was 10.22 (IQR 8.47–12.35) across mainland China. The association between air temperature and β’ of COVID-19 suggests that COVID-19 might be seasonal. Our model also validated the effectiveness of NPIs, demonstrating that diminishing contactable susceptibility (Sc) and avoiding delay in diagnosis and hospitalisation (η) were more effective than contact tracing (κ and ρ).ConclusionsWe constructed a novel epidemic model to estimate the effect of air temperature on COVID-19 transmission beyond implementation of NPIs, which can inform public health strategy and predict the transmission of COVID-19.
Results of a community-based screening programme for chronic kidney disease and associated risk factors, (obesity, diabetes and hypertension) in a Samoan cohort
Authors: Tafuna'i Malama , Turner Robin , Matalavea Ben , Voss David , Hazelman Lose , Richards Rosalina , Walker Robert 
Published: April 2022

ObjectivesIn 2019, under the World Kidney Day theme of ‘Kidney health for everyone everywhere’, the National Kidney Foundation of Samoa undertook an extensive community screening campaign to detect the estimated prevalence of chronic kidney disease (CKD) and its associated risk factors in the community.SettingFifteen screening sites, with 11 urban and rural sites on the main island of Upolu, and 4 in different rural areas on the island of Savaii.ParticipantsAll participants were self-referrals to the various screening sites. In total, 1163 Samoans were screened, with similar numbers from both urban and rural areas and similar numbers of female and male.Screening activitiesAll participants were screened for CKD using point of care serum creatinine determinations, with calculation of estimated glomerular filtration rate using the CKD-EPI formula and dipstix urinalysis. A standardised screening survey was used to capture demographic and medical history with associated risk factors of obesity, diabetes, using point of care determination of HbA1c and hypertension. Logistic regression was used to investigate the association of CKD with risk factors.ResultsIn total, 1163 people were screened for CKD within the month of March 2019. The prevalance of CKD (grades 1–5) was 44.5% (95% CI 41.6% to 47.4) with individual grade prevalence CKD 1: 3.7%, CKD 2: 6.1%, CKD 3: 30.7%, CKD 4: 2.9% and CKD 5: 1.0%. The prevalence of obesity (body mass index ≥32), diabetes and hypertension was 66.3%, 30.8% and 54.3%, respectively.ConclusionsThis is the first paper to report the estimated prevalence of CKD in Samoa or any other Pacific Island nation. It reveals an urgent need for further studies on the epidemiology of CKD in Samoa, to develop country-specific prevention strategies to mitigate this growing burden and prevent subsequent CKD associated complications including development of kidney failure and premature death.
Risk perception and preventive behaviours of COVID-19 among university students, Gondar, Ethiopia: a cross-sectional study
Authors: Tsegaw Menen , Mulat Bezawit , Shitu Kegnie 
Published: April 2022

ObjectiveThis study aimed to assess COVID-19 preventive behaviours and their associated factors among university students.MethodsAn institution-based cross-sectional study was employed among 405 university students and the study participants were chosen using a stratified simple random selection procedure. A pretested self-administered questionnaire was used to assess participants’ perception of and preventive behaviour towards COVID-19. A multivariable logistic regression analysis was employed to identify factors associated with COVID-19 preventive behaviour.ResultA total of 405 students participated in this study with a response rate of 97.4%. The mean age of the participants was 23.6 (SD ±2.4, range 19–30) years. Two hundred and twenty of the participants (45.7% with 95% CI 41.0% to 51.0%) had good preventive behaviour towards COVID-19. COVID-19 preventive behaviour was significantly associated with age (adjusted OR (AOR)=1.1, 95% CI 1.00 to 1.2), female sex (AOR=1.6, 95% CI 1.02 to 2.60), knowing anyone infected with COVID-19 (AOR=4.05, 95% CI 1.9 to 8.8), participants who had high perceived susceptibility (AOR=2.14, 95% CI 1.44 to 3.35) and participants who were enrolled in health programmes (AOR=4.23, 95% CI 2.6 to 7.0).Conclusion and recommendationThe overall COVID-19 preventive behaviour among university students is unsatisfactory. Students' COVID-19 preventive behaviour was influenced by age, sex, knowing a COVID-19 infected person, perceived susceptibility and the sort of programme in which they had enrolled. The findings revealed that health communication interventions aimed at changing people’s perceptions of COVID-19 and related prevention strategies are urgently needed to improve this population’s COVID-19 preventive behaviour.
Impact of the COVID-19 pandemic on diagnoses of common mental health disorders in adults in Catalonia, Spain: a population-based cohort study
Authors: Raventós Berta , Pistillo Andrea , Reyes Carlen , Fernández-Bertolín Sergio , Aragón Maria , Berenguera Anna , Jacques-Aviñó Constanza , Medina-Perucha Laura , Burn Edward , Duarte-Salles Talita 
Published: April 2022

ObjectiveTo investigate how trends in incidence of anxiety and depressive disorders have been affected by the COVID-19 pandemic.DesignPopulation-based cohort study.SettingRetrospective cohort study from 2018 to 2021 using the Information System for Research in Primary Care (SIDIAP) database in Catalonia, Spain.Participants3 640 204 individuals aged 18 or older in SIDIAP on 1 March 2018 with no history of anxiety and depressive disorders.Primary and secondary outcomes measuresThe incidence of anxiety and depressive disorders during the prelockdown period (March 2018–February 2020), lockdown period (March–June 2020) and postlockdown period (July 2020–March 2021) was calculated. Forecasted rates over the COVID-19 periods were estimated using negative binomial regression models based on prelockdown data. The percentage of reduction was estimated by comparing forecasted versus observed events, overall and by sex, age and socioeconomic status.ResultsThe incidence rates per 100 000 person-months of anxiety and depressive disorders were 151.1 (95% CI 150.3 to 152.0) and 32.3 (31.9 to 32.6), respectively, during the prelockdown period. We observed an increase of 37.1% (95% prediction interval 25.5 to 50.2) in incident anxiety diagnoses compared with the expected in March 2020, followed by a reduction of 15.8% (7.3 to 23.5) during the postlockdown period. A reduction in incident depressive disorders occurred during the lockdown and postlockdown periods (45.6% (39.2 to 51.0) and 22.0% (12.6 to 30.1), respectively). Reductions were higher among women during the lockdown period, adults aged 18–34 years and individuals living in the most deprived areas.ConclusionsThe COVID-19 pandemic in Catalonia was associated with an initial increase in anxiety disorders diagnosed in primary care but a reduction in cases as the pandemic continued. Diagnoses of depressive disorders were lower than expected throughout the pandemic.
Clinical ethics support services in paediatric practice: protocol for a mixed studies systematic review on structures, interventions and outcomes
Authors: Dittborn Mariana , Portales Bernardita , Brierley Joe 
Published: April 2022

IntroductionClinical ethics support services (CESS) have been developing worldwide with growing interest in evaluating their quality. Paediatric-specific CESSs (p-CESS) have received little attention, and evidence from adult services might not be generalisable. Evidence on service models and practices is crucial to inform further research and debate on quality evaluation and minimum standards for p-CESSs. We aim to systematically identify, appraise and synthesise evidence for p-CESS structures, processes and outcomes.Methods and analysisWe will conduct a mixed-studies systematic review including peer-reviewed empirical studies published in English or Spanish language providing data on the evaluation and/or impact on any aspect of p-CESS. We will search seven electronic databases: MEDLINE, Philosopher’s Index, EMBASE, PsycINFO, LILACS, Web of Science and CINHAL, without filters applied. Search terms will be related to “clinical ethics support” AND “paediatrics” AND “structure/process/outcome”. Reference and citation list of included studies will be handsearched. A 10% random sample of retrieved titles/abstracts and all full texts will be independently dual-screened. We will conduct narrative and thematic synthesis for quantitative and qualitative data, respectively, following sequential explanatory synthesis guided by Donabedian’s framework of structure, process and outcomes. Quality will be assessed using the Mixed-Methods Appraisal Tool (2018). The review will be reported using the adapted Preferred Reporting Items for Systematic Reviews and Meta-Analyses for reporting systematic reviews of qualitative and quantitative evidence template. Stakeholders will be involved twice in the review process; prior to data extraction and synthesis and after preliminary results.Ethics and disseminationAs a systematic review of published data, no ethical approval is necessary. Results will be published in a relevant academic peer-reviewed journal.PROSPERO registration numberCRD42021280978.
Evaluation of the mental health impacts of Universal Credit: protocol for a mixed methods study
Authors: Craig Peter , Barr Benjamin , Baxter Andrew J , Brown Heather , Cheetham Mandy , Gibson Marcia , Katikireddi Srinivasa Vittal , Moffatt Suzanne , Morris Steph , Munford Luke Aaron , Richiardi Matteo , Sutton Matt , Taylor-Robinson David , Wickham Sophie , Xiang Huasheng , Bambra Clare 
Published: April 2022

IntroductionThe UK social security system is being transformed by the implementation of Universal Credit (UC), which combines six existing benefits and tax credits into a single payment for low-income households. Despite extensive reports of hardship associated with the introduction of UC, no previous studies have comprehensively evaluated its impact on mental health. Because payments are targeted at low-income households, impacts on mental health will have important consequences for health inequalities.Methods and analysisWe will conduct a mixed methods study. Work package (WP) 1 will compare health outcomes for new recipients of UC with outcomes for legacy benefit recipients in two large population surveys, using the phased rollout of UC as a natural experiment. We will also analyse the relationship between the proportion of UC claimants in small areas and a composite measure of mental health. WP2 will use data collected by Citizen’s Advice to explore the sociodemographic and health characteristics of people who seek advice when claiming UC and identify features of the claim process that prompt advice-seeking. WP3 will conduct longitudinal in-depth interviews with up to 80 UC claimants in England and Scotland to explore reasons for claiming and experiences of the claim process. Up to 30 staff supporting claimants will also be interviewed. WP4 will use a dynamic microsimulation model to simulate the long-term health impacts of different implementation scenarios. WP5 will undertake cost–consequence analysis of the potential costs and outcomes of introducing UC and cost–benefit analyses of mitigating actions.Ethics and disseminationWe obtained ethical approval for the primary data gathering from the University of Glasgow, College of Social Sciences Research Ethics Committee, application number 400200244. We will use our networks to actively disseminate findings to UC claimants, the public, practitioners and policy-makers, using a range of methods and formats.Trial registration numberThe study is registered with the Research Registry: researchregistry6697.
Prediction of cerebral aneurysm rupture using a point cloud neural network
Authors: Luo Xiaoyuan , Wang Jienan , Liang Xinmei , Yan Lei , Chen XinHua , He Jian , Luo Jing , Zhao Bing , He Guangchen , Wang Manning , Zhu Yueqi 
Published: April 2022

ObjectiveAccurate prediction of cerebral aneurysm (CA) rupture is of great significance. We intended to evaluate the accuracy of the point cloud neural network (PC-NN) in predicting CA rupture using MR angiography (MRA) and CT angiography (CTA) data.Methods418 CAs in 411 consecutive patients confirmed by CTA (n=180) or MRA (n=238) in a single hospital were retrospectively analyzed. A PC-NN aneurysm model with/without parent artery involvement was used for CA rupture prediction and compared with ridge regression, support vector machine (SVM) and neural network (NN) models based on radiomics features. Furthermore, the performance of the trained PC-NN and radiomics-based models was prospectively evaluated in 258 CAs of 254 patients from five external centers.ResultsIn the internal test data, the area under the curve (AUC) of the PC-NN model trained with parent artery (AUC=0.913) was significantly higher than that of the PC-NN model trained without parent artery (AUC=0.851; p=0.041) and of the ridge regression (AUC=0.803; p=0.019), SVM (AUC=0.788; p=0.013) and NN (AUC=0.805; p=0.023) radiomics-based models. Additionally, the PC-NN model trained with MRA source data achieved a higher prediction accuracy (AUC=0.936) than that trained with CTA source data (AUC=0.824; p=0.043). In external data of prospective cohort patients, the AUC of PC-NN was 0.835, significantly higher than ridge regression (0.692; p<0.001), SVM (0.701; p<0.001) and NN (0.681; p<0.001) models.ConclusionPC-NNs can achieve more accurate CA rupture prediction than traditional radiomics-based models. Furthermore, the performance of the PC-NN model trained with MRA data was superior to that trained with CTA data.
Prevalence and correlates of meeting physical activity, screen time, and sleep duration guidelines among Brazilian adolescents: findings from ERICA
Authors: Schaan Camila Wohlgemuth , Schaan Beatriz D. , Cureau Felipe Vogt 
Published: April 2022

The prevalence of meeting movement guidelines is low in developed countries; however, there is a lack of data among medium-income countries, including Brazil. We evaluated the prevalence and correlates of meeting physical activity, screen time, and sleep guidelines in Brazilian adolescents. Employing a cross-sectional design, Brazilian adolescents (aged 12–17 years) were surveyed about their physical activity levels, sleep, and screen time. Data were collected at schools through a self-administered questionnaire using a personal digital assistant for entering the data. Poisson regression models were used to examine the associations between correlates (sex, age, socioeconomic status, region, skin colour, and shift of school) and meeting movement guidelines. A total of 58 535 adolescents were included. Although only 8.7% of the adolescents met all three movement guidelines, the prevalence of those who met physical activity, screen time, and sleep duration guidelines was 46.4%, 42.5%, and 40%, respectively. Moreover, male sex, age 14–15 years, black or brown skin colour, afternoon shift of school, and living in the Northern and Northeastern regions were associated with a higher prevalence of meeting all movement guidelines. The prevalence of adolescents who met all three movement guidelines was low among Brazilian adolescents. Adolescents living in less developed regions showed greater adherence to movement guidelines, suggesting a possible impact of the urbanization process on these behaviours. Novelty: The prevalence of Brazilian adolescents who met all three movement behaviour guidelines was around 9%. Among all adolescents, 40% met only one movement guideline.
A biaxial tensional model for early vertebrate morphogenesis
Authors: Fleury Vincent , Abourachid Anick 
Published: April 2022

Abstract
We propose a simple biaxial tensional model which is able to reproduce at a qualitative level several aspects of early stages of vertebrate morphogenesis. The model is based on subsequent excitable contractions of an orthoradial and periclinal (radial) set of contracting lines, which generate first the basic embryonic pattern (a motile tube), and second the lateral orifices such as ears, eyes, mouth, gills, etc. An important aspect of the model is the self-arresting character of the process, akin to wound healing. At later stages, the biaxial lines may also work in extension, and this generates a developmental feedback which is quadratic with respect to curvature.

Graphic abstract
Discounted Repeated Games Having Computable Strategies with No Computable Best Response under Subgame-Perfect Equilibria
Authors: Dargaj Jakub , Simonsen Jakob Grue 
Published: April 2022

A classic result in computational game theory states that there are infinitely repeated games where one player has a computable strategy that has a best response, but no computable best response. For games with discounted payoff, the result is known to hold for a specific class of games—essentially generalizations of Prisoner’s Dilemma—but until now, no necessary and sufficient condition is known. To be of any value, the computable strategy having no computable best response must be part of a subgame-perfect equilibrium, as otherwise a rational, self-interested player would not play the strategy.

We give the first necessary and sufficient conditions for a two-player repeated game

\( G \)

to have such a computable strategy with no computable best response for all discount factors above some threshold. The conditions involve existence of a Nash equilibrium of the repeated game whose discounted payoffs satisfy certain conditions involving the min–max payoffs of the underlying stage game. We show that it is decidable in polynomial time in the size of the payoff matrix of

\( G \)

whether it satisfies these conditions.
MPEG column: 128th MPEG meeting in Geneva, Switzerland
Authors: Timmerer Christian 
Published: April 2022

The 128th MPEG meeting concluded on October 11, 2019 in Geneva, Switzerland with the following topics:
•Low Complexity Enhancement Video Coding (LCEVC) Promoted to Committee Draft
•2nd Edition of Omnidirectional Media Format (OMAF) has reached the first milestone
•Genomic Information Representation --- Part 4 Reference Software and Part 5 Conformance Promoted to Draft International Standard
The corresponding press release of the 128th MPEG meeting can be found here: https://mpeg.chiariglione.org/meetings/128. In this report we will focus on video coding aspects (i.e., LCEVC) and immersive media applications (i.e., OMAF). At the end, we will provide an update related to adaptive streaming (i.e., DASH and CMAF).