bluuebunny/crossref_metadata_2025_split huggingface dataset:
Changes in outpatient antibiotic prescribing for acute respiratory illnesses, 2011 to 2018
Authors: King Laura M. , Tsay Sharon V. , Hicks Lauri A. , Bizune Destani , Hersh Adam L. , Fleming-Dutra Katherine 
Published: December 2021

AbstractObjectives:To describe acute respiratory illnesses (ARI) visits and antibiotic prescriptions in 2011 and 2018 across outpatient settings to evaluate progress in reducing unnecessary antibiotic prescribing for ARIs.Design:Cross-sectional study.Setting and patients:Outpatient medical and pharmacy claims captured in the IBM MarketScan commercial database, a national convenience sample of privately insured individuals aged <65 years.Methods:We calculated the annual number of ARI visits and visits with oral antibiotic prescriptions per 1,000 enrollees overall and by age category, sex, and setting in 2011 and 2018. We compared these and calculated prevalence rate ratios (PRRs). We adapted existing tiered-diagnosis methodology forInternational Classification of Diseases, Tenth Revision, Clinical Modification(ICD-10-CM) codes.Results:In our study population, there were 829 ARI visits per 1,000 enrollees in 2011 compared with 760 ARI visits per 1,000 enrollees in 2018. In 2011, 39.3% of ARI visits were associated with ≥1 oral antibiotic prescription versus 36.2% in 2018. In 2018 compared with 2011, overall ARI visits decreased 8% (PRR, 0.92; 99.99% confidence interval [CI], 0.92–0.92), whereas visits with antibiotic prescriptions decreased 16% (PRR, 0.84; 99.99% CI, 0.84–0.85). Visits for antibiotic-inappropriate ARIs decreased by 9% (PRR, 0.91; 99.99% CI, 0.91–0.92), and visits with antibiotic prescriptions for these conditions decreased by 32% (PRR, 0.68; 99.99% CI, 0.67–0.68) from 2011 to 2018.Conclusions:Both the rate of antibiotic prescriptions per 1,000 enrollees and the percentage of visits with antibiotic prescriptions decreased modestly from 2011 to 2018 in our study population. These decreases were greatest for antibiotic-inappropriate ARIs; however, additional reductions in inappropriate antibiotic prescribing are needed.
A hierarchical Bayesian approach for calibration of stochastic material models
Authors: Papadimas Nikolaos , Dodwell Timothy 
Published: December 2021

AbstractThis article recasts the traditional challenge of calibrating a material constitutive model into a hierarchical probabilistic framework. We consider a Bayesian framework where material parameters are assigned distributions, which are then updated given experimental data. Importantly, in true engineering setting, we are not interested in inferring the parameters for a single experiment, but rather inferring the model parameters over the population of possible experimental samples. In doing so, we seek to also capture the inherent variability of the material from coupon-to-coupon, as well as uncertainties around the repeatability of the test. In this article, we address this problem using a hierarchical Bayesian model. However, a vanilla computational approach is prohibitively expensive. Our strategy marginalizes over each individual experiment, decreasing the dimension of our inference problem to only the hyperparameter—those parameter describing the population statistics of the material model only. Importantly, this marginalization step, requires us to derive an approximate likelihood, for which, we exploit an emulator (built offline prior to sampling) and Bayesian quadrature, allowing us to capture the uncertainty in this numerical approximation. Importantly, our approach renders hierarchical Bayesian calibration of material models computational feasible. The approach is tested in two different examples. The first is a compression test of simple spring model using synthetic data; the second, a more complex example using real experiment data to fit a stochastic elastoplastic model for 3D-printed steel.
The Rohingya refugees: a conceptual framework of their psychosocial adversities, cultural idioms of distress and social suffering
Authors: Sudheer Nivedita , Banerjee Debanjan 
Published: December 2021

AbstractRohingya refugees, a group of religious and ethnic minorities, primarily reside in the South Asian nations. With decades of displacement, forced migration, limited freedom of movement, violence and oppression, they have been termed by the United Nations (UN) as the ‘most persecuted minority group’ in world history. Literature shows an increased prevalence of psychiatric disorders such as depression, anxiety, post-traumatic stress, insomnia, etc., in this population. However, beyond ‘medicalisation’, the psychosocial challenges of the Rohingyas need to be understood through the lens of ‘social suffering’, which results from a complex interplay of multiple social, political, environmental and geographical factors. Lack of essential living amenities, poverty, unemployment, overcrowding, compromised social identity, and persistent traumatic stressors lead to inequality, restricted healthcare access, human rights deprivation and social injustice in this group. Even though the United Nations High Commission for Refugees (UNHCR) has taken a renewed interest in Rohingya re-establishment with well-researched standards of care, there are several pragmatic challenges in their implementation and inclusion in policies. This paper reviews these multi-dimensional psychosocial challenges of the Rohingyas by synthesising various intersecting conceptual models including minority stress, health-stigma-discrimination framework, refugee ecological model and capability approach. Furthermore, it highlights multidisciplinary interventions to mitigate these adversities, improve their living situation and eventually foster healing via means which are culturally relevant and contextually appropriate. These interventions need to involve various stakeholders from a human rights and dignity based lens, including the voices of the Rohingyas and supported by more research in this area.
The Interview Method in Comparative Politics: The Process of Interviewing Far-Right Actors
Authors: Ellinas Antonis A. 
Published: December 2021

AbstractInterviews have been the basis for some of the greatest insights in many disciplines but have largely been on the backstage of comparative political inquiry. I first rely on bibliometric data to show the limited use of interviews in research published by major journals in the past 30 years. I then focus on how interviews are used to study a hard-to-reach population: far-right actors. Using the extant literature and reflecting on my field experience with far-right leaders and functionaries, I examine in detail how interviews help investigate this phenomenon; I analyse challenges related to interview access, rapport, analysis and ethics and offer remedies. I argue that comparativists using interviews need to address these challenges by explicating and reflecting on the process through which they collect interview data rather than solely focusing on the data itself.
The Emperor of Dunhuang: Rethinking Political Regionalism in Tenth Century China
Authors: Wen Xin 
Published: December 2021

AbstractThe political history of medieval China is written primarily on the basis of official records produced at centers of political power by victors in the preceding trans-dynastic war. With the help of alternative sources, one can hope to challenge the triumphalist and teleological narrative imbedded in these records. In this article, I use documents preserved in the Dunhuang “library cave” to uncover a failed attempt to establish a regional state with imperial pretensions in Dunhuang immediately after the fall of the Tang. This kind of political regionalism seen in Dunhuang is also found in several other post-Tang states in Sichuan and Guangdong. My investigation of their similarities exposes the teleological nature of the conventional framework of “Five Dynasties and Ten Kingdoms,” and demands that we rethink the political history of China after the fall of the Tang.
Justice-level heterogeneity in certiorari voting: US Supreme Court October terms 1939, 1968, and 1982
Authors: Caldeira Gregory A. , Lempert Daniel 
Published: December 2021

AbstractAlthough the literature on US Supreme Court agenda-setting is sizable, justice-vote-level multivariate analyses of certiorari are almost exclusively limited to samples of discussed cases from 1986 to 1993. Moreover, these studies have done very little to explore justice-level heterogeneity on certiorari. Here, we address these lacunae by analyzing the predictors of individual justices’ cert votes on all paid cases from the 1939, 1968, and 1982 terms. We find substantial justice-level heterogeneity in the weight that justices place on the standard set of forces shaping the cert vote. We also show that some of this heterogeneity is associated with justices’ experience and ideological extremism, largely in theoretically predicted ways. In closing, we sound a note of caution on drawing conclusions about effects of justice attributes, when the number of justices is relatively small.
Care-giver wellbeing: exploring gender, relationship-to-care-recipient and care-giving demands in the Canadian Longitudinal Study on Aging
Authors: Chappell Neena L. , Penning Margaret , Kadlec Helena , Browning Sean D. 
Published: December 2021

AbstractThe three-way intersection of gender, relationship-to-care-recipient and care-giving demands has not, to our knowledge, been examined in relation to the wellbeing of family care-givers. We explore inequalities in depressive symptoms and life satisfaction, comparing wives, husbands, daughters and sons providing very-intensive care (36+ hours/week) with those providing less care and disparities between these groups in the factors related to disadvantage. Data from the Canadian Longitudinal Study on Aging (N = 5,994) support the existence of differences between the groups. Very-intensive care-giving wives report the most depressive symptoms and lowest life satisfaction; less-intensive care-giving sons report the fewest depressive symptoms, and less-intensive care-giving daughters report the highest life satisfaction. However, group differences in life satisfaction disappear among very-intensive care-givers. Drawing on Intersectionality and Stress Process theories, data from regression analyses reveal a non-significant gender–relationship–demand interaction term, but, health, socio-economic and social support resources play a strong mediating role between care demand and wellbeing. Analyses of the eight groups separately reveal diversity in the care-giving experience. Among less-intensive care-givers, the mediating role of resources remains strong even as differences are evident. Among very-intensive care-givers, the role of resources is less and differences in wellbeing between the groups are magnified. Policy implications emphasise the imperative to personalise services to meet the varied needs of care-givers.
Cardiac involvement in Multisystem Inflammatory Syndrome in Children cases
Authors: Erol Nurdan , Sari Erdal 
Published: December 2021

AbstractMultisystem Inflammatory Syndrome in Children is a rare form of COVID-19 that affects various organ systems and carries the risk of morbidity and mortality. Cardiac involvement is commonly observed in Multisystem Inflammatory Syndrome in Children cases; hence, this study was conducted to evaluate the cardiac findings of the Multisystem Inflammatory Syndrome in Children cases that were diagnosed and followed up in our hospital.Materials and methods:The medical histories, laboratory results, cardiac findings, and treatments of the cases that were diagnosed with Multisystem Inflammatory Syndrome in Children between December 2020 and August 2021 were evaluated retrospectively.Results:Our study group consisted of 14 males and 12 females whose median age was 3.67 years. Of the 26 patients, 24 had echocardiographic findings and 12 cases had cardiac pathologies that were mostly mild. Among these, mitral valve insufficiency, coronary artery pathology, and pericardial effusion were the most common. Perivascular brightness, aortic and tricuspid insufficiency, systolic dysfunction, and tricuspid thrombosis were less common. The cardiac pathologies of all patients resolved in less than a month following treatment.Conclusion:Although the cardiac pathologies of Multisystem Inflammatory Syndrome in Children cases disappear fairly rapidly, the long-term cardiac effects of this disease are not known clearly. To improve our current understanding of Multisystem Inflammatory Syndrome in Children, more multi-centred studies with long-term follow-up periods should be conducted, and treatment protocols for cases of different severities should be developed to maximise the treatments’ efficacy.
METASTART: A Systematic Review and Meta-Analysis of the Diagnostic Accuracy of the Simple Triage and Rapid Treatment (START) Algorithm for Disaster Triage
Authors: Franc Jeffrey M. , Kirkland Scott W. , Wisnesky Uirá D. , Campbell Sandra , Rowe Brian H. 
Published: December 2021

AbstractIntroduction:The goal of disaster triage at both the prehospital and in-hospital level is to maximize resources and optimize patient outcomes. Of the disaster-specific triage methods developed to guide health care providers, the Simple Triage and Rapid Treatment (START) algorithm has become the most popular system world-wide. Despite its appeal and global application, the accuracy and effectiveness of the START protocol is not well-known.Objectives:The purpose of this meta-analysis was two-fold: (1) to estimate overall accuracy, under-triage, and over-triage of the START method when used by providers across a variety of backgrounds; and (2) to obtain specific accuracy for each of the four START categories: red, yellow, green, and black.Methods:A systematic review and meta-analysis was conducted that searched Medline (OVID), Embase (OVID), Global Health (OVID), CINAHL (EBSCO), Compendex (Engineering Village), SCOPUS, ProQuest Dissertations and Theses Global, Cochrane Library, and PROSPERO. The results were expanded by hand searching of journals, reference lists, and the grey literature. The search was executed in March 2020. The review considered the participants, interventions, context, and outcome (PICO) framework and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Accuracy outcomes are presented as means with 95% confidence intervals (CI) as calculated using the binomial method. Pooled meta-analyses of accuracy outcomes using fixed and random effects models were calculated and the heterogeneity was assessed using the Q statistic.Results:Thirty-two studies were included in the review, most of which utilized a non-randomized study design (84%). Proportion of victims correctly triaged using START ranged from 0.27 to 0.99 with an overall triage accuracy of 0.73 (95% CI, 0.67 to 0.78). Proportion of over-triage was 0.14 (95% CI, 0.11 to 0.17) while the proportion of under-triage was 0.10 (95% CI, 0.072 to 0.14). There was significant heterogeneity of the studies for all outcomes (P < .0001).Conclusion:This meta-analysis suggests that START is not accurate enough to serve as a reliable disaster triage tool. Although the accuracy of START may be similar to other models of disaster triage, development of a more accurate triage method should be urgently pursued.
Cabinet Composition, Collegiality, and Collectivity: Examining Patterns in Cabinet Committee Structure
Authors: Ie Kenny William 
Published: December 2021

AbstractThis article examines one arena of decision-making in cabinet government: cabinet committees. It assesses the relationship between the composition of cabinets – their party make-up – and the structure of cabinet committees. Cabinet committees are groups of ministers tasked with specific policy or coordination responsibilities and can be important mechanisms of policymaking and cabinet management. Thus, the structure of committees informs our understanding of how cabinets differ in their distributions of policy influence among ministers and parties, a central concern in parliamentary government. We investigate two such dimensions: collegiality – interaction among ministers – and collectivity, the (de)centralization of influence. We find that cabinet committees in coalitions are significantly more collegial, on average, than single-party cabinets, though this is driven by minority coalitions. At the same time, influence within cabinet committees is less collectively distributed in most types of coalitions than in single-party cabinets.
The Australian Twins Economic Preferences Survey
Authors: Kettlewell Nathan , Tymula Agnieszka 
Published: December 2021

AbstractThis article describes the Australian Twins Economic Preferences Survey (ATEPS). The data set comprises a wide variety of preference and behavioral measures (risk aversion, impatience, ambiguity aversion, trust, confidence) elicited using incentivized decision tasks. One-thousand one-hundred twenty Australian adult twins (560 pairs) completed the survey, making it one of the largest data sets containing incentivized preference measures of twins. As the survey was conducted during the COVID-19 pandemic, we also collected information on experiences related to the pandemic, along with a variety of questions on political attitudes and mental wellbeing. We hope that ATEPS can make a valuable contribution to social science and genetics research.
Are Minority Opinions Shared Less?
Authors: Zapf Birka , Hütter Mandy , Sassenberg Kai 
Published: December 2021

Abstract. Product evaluation portals on the web that collect product ratings provide an excellent opportunity to observe opinion sharing in a natural setting. Evidence across different paradigms shows that minority opinions are shared less than majority opinions. This article reports a study testing whether this effect holds on product evaluation portals. We tracked the ratings of N = 76 products at 12 measurement points. We predicted that the higher (lower) the mean initial rating of a product, the more positive (negative) the newly contributed ratings will differ from this baseline – as an indication of the preferred sharing of majority compared to minority opinions. We found, however, that newly added ratings were on average less extreme than earlier ratings. These results can either be interpreted as regression to the mean or evidence for the preferred sharing of minority opinions.
Tropical Cirrus in Global Storm‐Resolving Models: 1. Role of Deep Convection
Authors: Nugent J. M. , Turbeville S. M. , Bretherton C. S. , Blossey P. N. , Ackerman T. P. 
Published: December 2021

AbstractPervasive cirrus clouds in the upper troposphere and tropical tropopause layer (TTL) influence the climate by altering the top‐of‐atmosphere radiation balance and stratospheric water vapor budget. These cirrus are often associated with deep convection, which global climate models must parameterize and struggle to accurately simulate. By comparing high‐resolution global storm‐resolving models from the Dynamics of the Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) intercomparison that explicitly simulate deep convection to satellite observations, we assess how well these models simulate deep convection, convectively generated cirrus, and deep convective injection of water into the TTL over representative tropical land and ocean regions. The DYAMOND models simulate deep convective precipitation, organization, and cloud structure fairly well over land and ocean regions, but with clear intermodel differences. All models produce frequent overshooting convection whose strongest updrafts humidify the TTL and are its main source of frozen water. Intermodel differences in cloud properties and convective injection exceed differences between land and ocean regions in each model. We argue that, with further improvements, global storm‐resolving models can better represent tropical cirrus and deep convection in present and future climates than coarser‐resolution climate models. To realize this potential, they must use available observations to perfect their ice microphysics and dynamical flow solvers.
Central Equatorial Pacific Warming and Freshening in the Twentieth Century: Insights From a Coral Ensemble Approach
Authors: Hitt Nicholas T. , Sayani Hussein R. , Atwood Alyssa R. , Grothe Pamela R. , Maupin Christopher , O’Connor Gemma K. , Walter Rachel M. , Gebregiorgis Daniel , Hardt Madeleine E. , Lu Yanbin , Cheng Hai , Edwards R. Lawrence , Cobb Kim M. 
Published: December 2021

AbstractThe tropical Pacific influences climate patterns across the globe, yet robust constraints on decadal to centennial‐scale climate variations are difficult to extract from sparse instrumental observations in this region. Oxygen isotope (δ18O) records from long‐lived corals enable the quantitative reconstruction of tropical Pacific climate variability and trends over the twentieth century and beyond, but such corals are exceedingly rare. Here, we use multiple short coral δ18O records to create a coral ‘ensemble’ reconstruction of twentieth century climate in the central tropical Pacific. Ten U/Th‐dated fossil coral δ18O records from Kiritimati Island (2°N, 157°W) span 1891 CE to 2006 CE, with the younger samples enabling quantitative comparison to a large ensemble of modern coral records and instrumental sea surface temperature. A composite record constructed of modern and fossil Kiritimati coral δ18O records shows a shift toward warmer and fresher conditions from 1970 CE onward, consistent with previously published records in this region.
Parker Ice Tongue Collapse, Antarctica, Triggered by Loss of Stabilizing Land‐Fast Sea Ice
Authors: Gomez‐Fell Rodrigo , Rack Wolfgang , Purdie Heather , Marsh Oliver 
Published: December 2021

AbstractAfter a likely multi‐century period of intermittent calving, the full length of Parker Ice Tongue (18 km or 41 km2), calved in March 2020 co‐incident with repeated summer break‐outs of the surrounding land‐fast sea ice. A complete ice tongue collapse for these otherwise stable glaciological landmarks along the Victoria Land Coast is previously unrecorded. Prior to break‐off, we found an inverse correlation between fast ice extent and ice tongue velocities (R = −0.62; R2 = 0.39). The short summer period, characterized by decreased land‐fast sea ice extent, showed around 11% higher velocities compared to winter. Any previous events of comparable magnitude could not have occurred since at least ∼1,850, assuming continuous growth (∼193m yr−1) derived from the last 60 years of satellite observations. We highlight the vulnerability of the ice tongue once left exposed to oceanic processes, which poses questions about the fate of other ice tongues if land‐fast sea ice decreases more broadly in the future.
First Evidence of Correlation Between Evapotranspiration and Gravity at a Daily Time Scale From Two Vertically Spaced Superconducting Gravimeters
Authors: Carrière Simon D. , Loiseau Bertille , Champollion Cédric , Ollivier Chloé , Martin‐StPaul Nicolas K. , Lesparre Nolwenn , Olioso Albert , Hinderer Jacques , Jougnot Damien 
Published: December 2021

AbstractEstimating evapotranspiration (ET) is a primary challenge in modern hydrology. Hydrogravimetry is an integrative approach providing highly precise continuous measurement of gravity acceleration. However, large‐scale effects (e.g., tides, polar motion, atmospheric loading) limit the fine time‐scale interpretation of the gravity data and processing leads to residual signal noise. To circumvent this limitation, we exploited the difference between two superconducting gravimeters (SGs) vertically spaced by 512 m. The gravity difference allows to remove common large‐scale effects. Daily variation of the gravity difference is significantly correlated with daily evapotranspiration as estimated using the water balance model SimpKcET (p‐value = 4.10−10). However, this approach is effective only during rain‐free periods. In the future, comparison with direct ET measurements (e.g., eddy‐covariance, scintillometer) may confirm and strengthen our interpretation. Improved hydrogravimetric data processing could extend the proposed approach to other experimental sites equipped with a single SG.