bluuebunny/crossref_metadata_2025_split huggingface dataset:
Alive and kicking: suicide rates and major soccer events in Austria, Germany and Switzerland
Authors: Pichler Eva-Maria , Ploederl Martin , Rainer Lucas , Gilhofer Thomas S , Michel Jonathan , van der Stouwe Jan Gerrit , Luescher Thomas F , Schmied Christian M , Kawohl Wolfram , Kronschnabel Jens , Niederseer David 
Published: March 2023

Abstract

Background
Major sporting events are postulated to reduce suicide rates by increased social connectedness, by identifying with winning teams, or, conversely, to increase suicide rates by the ‘broken promise effect’.

Methods
In our observational epidemiological study, we investigated changes in suicide rates between 1970 and 2017 in Austria, Germany and Switzerland during the European and World Soccer Championships in general, and on days that the home team played, won or lost.

Results
Combining all three studied nations no statistically significant change in the incidence of daily suicides during soccer championships compared to a control period was noted (38.29 ± 9.02 vs. 37.33 ± 10.58; incidence risk ratio = 1.03; 95% confidence interval: 1.01–1.05, P = 0.05). Essentially, no differences in the expected directions were found, and none remained statistically significant after correcting for multiple comparisons in subgroups for country, age and gender in all three studied countries. Compared to a control period, neither a significant difference in the respective national suicide rate was found after Germany’s four championship victories nor after Austria’s emotional only win over Germany.

Conclusion
Our results do not support the assumption of increased social connectedness and, thus, lowered suicide risk during major sporting events or changes in suicide risk depending on the outcome of important games as predicted by the broken promise effect or changes in self-efficacy by identification with winning teams.
Sleep Behaviors and Progression of Multimorbidity in Middle-Aged and Older Adults: A Prospective Cohort Study From China
Authors: Zhou Yaguan , Ni Yujie , Jones Mark , Dai Xiaochen , Lim Carmen C W , Zhu Anna , Xu Xiaolin 
Published: March 2023

Abstract

Background
Sleep behavior (eg, sleep duration, sleep quality, and nap) is closely related to many chronic conditions. However, less is known about its association with multiple chronic conditions (multimorbidity), particularly evidence from cohort studies.

Methods
Data were collected from a cohort of 8 937 individuals aged 45 and older from the China Health and Retirement Longitudinal Study (2011–2018). Sleep duration, sleep quality, and nap duration were collected in 2011 and 2013. Progression of multimorbidity was defined as the first report of 2 or more chronic conditions for participants without multimorbidity or the new report of 1 or more conditions for those with multimorbidity. Cox regression models were performed to calculate the hazard ratios and 95% confidence intervals (CIs) of the associations between sleep behaviors and the progression of multimorbidity.

Results
Short sleep duration and poor sleep quality were associated with the progression of multimorbidity independently and jointly, especially in those less than 65 years and females. The U-shaped dose–response relationships were observed between nighttime and total sleep duration and the progression of multimorbidity. Persistent short and unsteadily changed sleep behaviors increased the risk of multimorbidity progression. Individuals sleeping ≤5 h/night with 5–7 restless days/week had 1.53 times higher risk of multimorbidity progression (95% CI: 1.37–1.71), compared to those sleeping 7–8 h/night with &lt;1 restless day/week.

Conclusions
Short sleep duration and poor sleep quality were independently and jointly associated with a higher risk of multimorbidity progression in a mid-to-older population. Optimal sleep duration and sleep quality should be emphasized in multimorbidity prevention and control.
Trends in Gender and Racial/Ethnic Disparities in Physical Disability and Social Support Among U.S. Older Adults With Cognitive Impairment Living Alone, 2000–2018
Authors: Chen Shanquan , Zhang Huanyu , Underwood Benjamin R , Wang Dan , Chen Xi , Cardinal Rudolf N 
Published: March 2023

Abstract

Background and Objectives
Informal care is the primary source of support for older adults with cognitive impairment, yet is less available to those who live alone. We examined trends in the prevalence of physical disability and social support among older adults with cognitive impairment living alone in the United States.

Research Design and Methods
We analyzed 10 waves of data from the U.S. Health and Retirement Survey spanning 2000–2018. Eligible people were those aged ≥65, having cognitive impairment, and living alone. Physical disability and social support were measured via basic and instrumental activities of daily living (BADLs, IADLs). We estimated linear temporal trends for binary/integer outcomes via logistic/Poisson regression, respectively.

Results
A total of 20 070 participants were included. Among those reporting BADL/IADL disability, the proportion unsupported for BADLs decreased significantly over time (odds ratio [OR] 0.98, 95% confidence interval [CI] 0.97–0.99), and the proportion unsupported for IADLs increased (OR = 1.02, CI 1.01–1.04). Among those receiving IADL support, the number of unmet IADL support needs increased significantly over time (relative risk [RR] 1.04, CI 1.03–1.05). No gender disparities were found for these trends. Over time, Black respondents had a relatively increasing trend of being BADL-unsupported (OR = 1.03, CI 1.0–1.05) and Hispanic and Black respondents had a relatively increasing trend in the number of unmet BADL needs (RR = 1.02, CI 1.00–1.03; RR = 1.01, CI 1.00–1.02, respectively), compared to the corresponding trends in White respondents.

Discussion and Implications
Among lone-dwelling U.S. older adults with cognitive impairment, fewer people received IADL support over time, and the extent of unmet IADL support needs increased. Racial/ethnic disparities were seen both in the prevalence of reported BADL/IADL disability and unmet BADL/IADL support needs; some but not all were compatible with a reduction in disparity over time. This evidence could prompt interventions to reduce disparities and unmet support needs.
Application of the EEPAS earthquake forecasting model to Italy
Authors: Biondini E , Rhoades D A , Gasperini P 
Published: March 2023

SUMMARYThe Every Earthquake a Precursor According to Scale (EEPAS) forecasting model is a space–time point-process model based on the precursory scale increase ($\psi $ ) phenomenon and associated predictive scaling relations. It has been previously applied to New Zealand, California and Japan earthquakes with target magnitude thresholds varying from about 5–7. In all previous application, computations were done using the computer code implemented in Fortran language by the model authors. In this work, we applied it to Italy using a suite of computing codes completely rewritten in Matlab. We first compared the two software codes to ensure the convergence and adequate coincidence between the estimated model parameters for a simple region capable of being analysed by both software codes. Then, using the rewritten codes, we optimized the parameters for a different and more complex polygon of analysis using the Homogenized Instrumental Seismic Catalogue data from 1990 to 2011. We then perform a pseudo-prospective forecasting experiment of Italian earthquakes from 2012 to 2021 with Mw ≥ 5.0 and compare the forecasting skill of EEPAS with those obtained by other time independent (Spatially Uniform Poisson, Spatially Variable Poisson and PPE: Proximity to Past Earthquakes) and time dependent [Epidemic Type Aftershock Sequence (ETAS)] forecasting models using the information gain per active cell. The preference goes to the ETAS model for short time intervals (3 months) and to the EEPAS model for longer time intervals (6 months to 10 yr).
Maternal and fetal origins of offspring blood pressure: statistical analysis using genetic correlation and genetic risk score-based Mendelian randomization
Authors: Jin Siyi , Wang Ting , Wenying Chen , Wu Yuxuan , Huang Shuiping , Zeng Ping 
Published: March 2023

Abstract

Background
Epidemiological studies demonstrated that adverse in utero environment was associated with increased risk of offspring high blood pressure, by using birthweight as the proxy of maternal intrauterine exposure; however, the nature of such association remains less understood.

Methods
With maternal/fetal-specific summary statistics of birthweight (n = 297 356 for own birthweight and n = 210 248 for offspring birthweight) and summary statistics of blood pressure [i.e. systolic blood pressure (SBP), diastolic blood pressure (DBP) and pulse pressure (PP)] (n = 757 601), we evaluated the genetic correlation between fetal-specific birthweight and blood pressure using cross-trait linkage disequilibrium score regression, and next detected pleiotropic genes for them with a pleiotropy mapping method called mixture-adjusted intersect-union pleiotropy test. Furthermore, we conducted a genetic risk score (GRS)-based Mendelian randomization analysis in parent-offspring pairs (n = 6031) of the UK Biobank cohort, to assess the causal relation between maternal-specific GRS and blood pressure conditioning on fetal genotypes.

Results
We found fetal-specific birthweight had a negative genetic correlation with DBP (ρ^g = −0.174, P = 1.68 × 10–10), SBP (ρ^g = −0.198, P = 8.09 × 10–12), and PP (ρ^g = −0.152, P = 6.04 × 10–8), and detected 143, 137 and 135 pleiotropic genes shared between fetal-specific birthweight and PP, SBP and DBP, respectively. These genes often exhibited opposite genetic effects, and were more likely to be differentially expressed in pancreas, liver, heart, brain, whole blood and muscle skeletal tissues. A causal negative association of maternal-specific birthweight was identified with SBP (P = 2.20 × 10–2) and PP (P = 7.67 × 10–3) but not DBP (P = 0.396) in mother-offspring pairs, after accounting for the influence of fetal-specific GRS; and the two significant relations were robust against the horizontal pleiotropy of instruments and the confounding influence of gestational duration and preterm birth. However, these causal associations could not be detected in father-offspring pairs.

Conclusions
This study revealed common genetic components underlying birthweight and blood pressure, and provided important insight into aetiology and early prevention of high blood pressure.
Multiresolution analysis for stochastic hyperbolic conservation laws
Authors: Herty M , Kolb A , Müller S 
Published: March 2023

Abstract
A multiresolution analysis (MRA) for solving stochastic conservation laws is proposed. Using a novel adaptation strategy and a higher-dimensional deterministic problem, a discontinuous Galerkin (DG) solver is derived. An MRA of the DG spaces for the proposed adaptation strategy is presented. Numerical results show that in the case of general stochastic distributions the performance of the DG solver is significantly improved by the novel adaptive strategy. The gain in efficiency is validated in computational experiments.
Use of chosen names in electronic health records to promote transgender inclusivity
Authors: Grutman Aurora J 
Published: March 2023

Abstract
Transgender people have a right to be called by their chosen names. However, the current electronic health record (EHR)—even with dramatic changes in recent years—does not allow for proper documentation to accurately and sensitively capture the experiences of transgender patients. This article suggests that EHRs should be modified to allow for distinctions in legal and chosen name fields, recognize the wide-ranging experiences and needs of transgender patients, and promote inclusive, identity-sensitive health care. Healthcare professionals should insist that technology be used in service of the full humanity of their patients.
Hybridizing gaining–sharing knowledge and differential evolution for large-scale power system economic dispatch problems
Authors: Liu Qinghua , Xiong Guojiang , Fu Xiaofan , Mohamed Ali Wagdy , Zhang Jing , Al-Betar Mohammed Azmi , Chen Hao , Chen Jun , Xu Sheng 
Published: March 2023

AbstractEconomic dispatch (ED) of thermal power units is significant for optimal generation operation efficiency of power systems. It is a typical nonconvex and nonlinear optimization problem with many local extrema when considering the valve-point effects, especially for large-scale systems. Considering that differential evolution (DE) is efficient in locating global optimal region, while gain-sharing knowledge-based algorithm (GSK) is effective in refining local solutions, this study presents a new hybrid method, namely GSK-DE, to integrate the advantages of both algorithms for solving large-scale ED problems. We design a dual-population evolution framework in which the population is randomly divided into two equal subpopulations in each iteration. One subpopulation performs GSK, while the other executes DE. Then, the updated individuals of these two subpopulations are combined to generate a new population. In such a manner, the exploration and the exploitation are harmonized well to improve the searching efficiency. The proposed GSK-DE is applied to six ED cases, including 15, 38, 40, 110, 120, and 330 units. Simulation results demonstrate that GSK-DE gives full play to the superiorities of GSK and DE effectively. It possesses a quicker global convergence rate to obtain higher quality dispatch schemes with greater robustness. Moreover, the effect of population size is also examined.
Volatility Forecasting with Machine Learning and Intraday Commonality
Authors: Zhang Chao , Zhang Yihuang , Cucuringu Mihai , Qian Zhongmin 
Published: March 2023

Abstract
We apply machine learning models to forecast intraday realized volatility (RV), by exploiting commonality in intraday volatility via pooling stock data together, and by incorporating a proxy for the market volatility. Neural networks dominate linear regressions and tree-based models in terms of performance, due to their ability to uncover and model complex latent interactions among variables. Our findings remain robust when we apply trained models to new stocks that have not been included in the training set, thus providing new empirical evidence for a universal volatility mechanism among stocks. Finally, we propose a new approach to forecasting 1-day-ahead RVs using past intraday RVs as predictors, and highlight interesting time-of-day effects that aid the forecasting mechanism. The results demonstrate that the proposed methodology yields superior out-of-sample forecasts over a strong set of traditional baselines that only rely on past daily RVs.
The scientometric landscape of Evolang: A comprehensive database of the Evolang conference
Authors: Wacewicz Sławomir , Sibierska Marta , Placiński Marek , Szczepańska Aleksandra , Poniewierska Aleksandra , Ng Yen Ying , Żywiczyński Przemysław 
Published: March 2023

Abstract
Language evolution is a modern incarnation of a long intellectual tradition that addresses the fundamental question of how language began. Such a formulation is intuitively obvious, but a more precise characterisation of this area of research with its central notions—language and evolution—has proved surprisingly elusive. In this paper, we show how conceptual analysis can be complemented with scientometric analysis in describing language evolution. To this end, we built a database containing information on the contributions and contributors to the proceedings of the nine most recent iterations (years 2004–20) of the Evolang conference, which given its long history (1996–) and attendance rates gives a good reflection of the thematic scope and research trends in the field of language evolution as a whole. We present several analyses of these data, concerning the geographical distribution of the researchers contributing to the conference, a set of ‘classic’ references most frequently cited in Evolang proceedings, researcher profiles self-associated with the most popular tags for this area of research (such as ‘evolution of language’ vs. ‘language evolution’), and the changes to the profile of the conference as represented in the proportions of topics and author networks over the most recent Evolang iterations. While our resource is intended primarily as a source of insight into the Evolang conference—and by extension into the entire field of language evolution—it holds potential for comparisons with other fields and for addressing questions on the production of scientific knowledge.
Causal inference on distribution functions
Authors: Lin Zhenhua , Kong Dehan , Wang Linbo 
Published: March 2023

Abstract
Understanding causal relationships is one of the most important goals of modern science. So far, the causal inference literature has focused almost exclusively on outcomes coming from the Euclidean space Rp. However, it is increasingly common that complex datasets are best summarized as data points in nonlinear spaces. In this paper, we present a novel framework of causal effects for outcomes from the Wasserstein space of cumulative distribution functions, which in contrast to the Euclidean space, is nonlinear. We develop doubly robust estimators and associated asymptotic theory for these causal effects. As an illustration, we use our framework to quantify the causal effect of marriage on physical activity patterns using wearable device data collected through the National Health and Nutrition Examination Survey.
Being Somehow Without (Possibly) Being Something
Authors: Fritz Peter 
Published: March 2023

Abstract
Contingentists—who hold that it is contingent what there is—are divided on the claim that having a property or standing in a relation requires being something. This claim can be formulated as a natural schematic principle of higher-order modal logic. On this formulation, I argue that contingentists who are also higher-order contingentists—and so hold that it is contingent what propositions, properties and relations there are—should reject the claim. Moreover, I argue that given higher-order contingentism, having a property or standing in a relation does not even require possibly being something.
Use of 1,3-beta-d-glucan concentration in peritoneal fluid for the diagnosis of intra-abdominal candidiasis in critically ill patients
Authors: Nourry Émilie , Wallet Florent , Darien Marie , Menotti Jean , Dupont Damien , Allaouchiche Bernard , Argaud Laurent , Richard Jean-Christophe , Guichon Céline , Rimmelé Thomas , Bohe Julien , Thiollère Fabrice , Vassal Olivia , Lepape Alain , Wallon Martine , Persat Florence , Friggeri Arnaud 
Published: March 2023

AbstractIntra-abdominal candidiasis (IAC) is frequent and associated with high mortality in intensive care unit (ICU) patients. Antifungal treatments may be overused due to a lack of diagnostic tools to rule out IAC. Serum 1,3-beta-d-glucan (BDG) concentrations are used to diagnose Candida infections, its concentration in peritoneal fluid (PF) may help to confirm or invalidate the diagnosis of IAC. We performed a non-interventional, prospective, multicenter study at the Hospices Civils de Lyon, France, in seven ICUs located in three different hospitals from December 2017 to June 2018. IAC was defined as the isolation of Candida in a sample collected from the intra-abdominal cavity under sterile conditions in patients displaying clinical evidence of intra-abdominal infection (IAI).Among the 113 included patients, 135 PF samples corresponding to 135 IAI episodes were collected and BDG concentrations were assessed. IAC accounted for 28 (20.7%) of the IAIs. Antifungals were administered empirically to 70 (61.9%) patients; among them, 23 (32.9%) had an IAC. The median [interquartile range] BDG value was significantly higher in IAC (8100 [3000; 15 000] pg/ml) than in non-IAC samples (1961 [332; 10 650] pg/ml). BDG concentrations were higher in PF with Fecaloid aspect and in case of positive bacterial culture. For a BDG threshold of 125 pg/ml, the negative predictive value to assess IAC was 100%. In conclusion, low BDG-PF concentrations could be used to rule out IAC. https://clinicaltrials.gov/ct2/show/NCT03469401
Two new white dwarfs with variable magnetic Balmer emission lines
Authors: Reding Joshua S , Hermes J J , Clemens J C , Hegedus R J , Kaiser B C 
Published: March 2023

ABSTRACT
We report the discovery of two apparently isolated stellar remnants that exhibit rotationally modulated magnetic Balmer emission, adding to the emerging DAHe class of white dwarf stars. While the previously discovered members of this class show Zeeman-split triplet emission features corresponding to single magnetic field strengths, these two new objects exhibit significant fluctuations in their apparent magnetic field strengths with variability phase. The Zeeman-split hydrogen emission lines in LP 705−64 broaden from 9.4 to 22.2 MG over an apparent spin period of 72.629 min. Similarly, WD J143019.29−562358.33 varies from 5.8  to 8.9 MG over its apparent 86.394 min rotation period. This brings the DAHe class of white dwarfs to at least five objects, all with effective temperatures within 500 K of 8000 K and masses ranging from $0.65\,\,{\text{to}}\,\,0.83\, {\rm M}_{\odot }$.
The vertex coordinates of the Galaxy’s stellar systems according to theGaiaDR3 catalogue
Authors: Dmytrenko A M , Fedorov P N , Akhmetov V S , Velichko A B , Denyshchenko S I 
Published: March 2023

ABSTRACTWe present the results of determining the coordinates of the vertices of various stellar systems, the centroids of which are located in the Galactic plane. To do this, the positions, parallaxes, proper motions, and radial velocities of red giants and subgiants contained in the Gaia DR3 catalogue have been used. When determining the components of the deformation velocity tensors in local coordinate systems, we found the coordinates of the vertices of the stellar systems under study. It turned out that there is a complex dependence of vertex deviations lxy in Galactocentric cylindrical (R, θ) and Galactic rectangular (X, Y) coordinates. Based on the approach proposed in this paper, heliocentric distances to vertices have been determined for the first time. The results obtained show that in addition to the fact that the angular coordinates of the Galactic Centre and the vertices of stellar systems do not coincide, their heliocentric distances do not coincide as well. This presumably indicates that there are structures in the Galaxy that noticeably affect its axisymmetry.