bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring Swing Voters with a Supervised Machine Learning Ensemble
Authors: Hare Christopher , Kutsuris Mikayla 
Published: October 2022

AbstractTheory has long suggested that swing voting is a response to cross-pressures arising from a mix of individual attributes and contextual factors. Unfortunately, existing regression-based approaches are ill-suited to explore the complex combinations of demographic, policy, and political factors that produce swing voters in American elections. This gap between theory and practice motivates our use of an ensemble of supervised machine learning methods to predict swing voters in the 2012, 2016, and 2020 U.S. presidential elections. The results from the learning ensemble substantiate the existence of swing voters in contemporary American elections. Specifically, we demonstrate that the learning ensemble produces well-calibrated and externally valid predictions of swing voter propensity in later elections and for related behaviors such as split-ticket voting. Although interpreting black-box models is more challenging, they can nonetheless provide meaningful substantive insights meriting further exploration. Here, we use flexible model-agnostic tools to perturb the ensemble and demonstrate that cross-pressures (particularly those involving ideological and policy-related considerations) are essential to accurately predict swing voters.
The Consequences of Model Misspecification for the Estimation of Nonlinear Interaction Effects
Authors: Beiser-McGrath Janina , Beiser-McGrath Liam F. 
Published: October 2022

AbstractRecent research has shown that interaction effects may often be nonlinear (Hainmueller, Mummolo, and Xu [2019, Political Analysis 27, 163–192]). As standard interaction effect specifications assume a linear interaction effect, that is, the moderator conditions the effect at a constant rate, this can lead to bias. However, allowing nonlinear interaction effects, without accounting for other nonlinearities and nonlinear interaction effects, can also lead to biased estimates. Specifically, researchers can infer nonlinear interaction effects, even though the true interaction effect is linear, when variables used for covariate adjustment that are correlated with the moderator have a nonlinear effect upon the outcome of interest. We illustrate this bias with simulations and show how diagnostic tools recommended in the literature are unable to uncover the issue. We show how using the adaptive Lasso to identify relevant nonlinearities among variables used for covariate adjustment can avoid this issue. Moreover, the use of regularized estimators, which allow for a fuller set of nonlinearities, both independent and interactive, is more generally shown to avoid this bias and more general forms of omitted interaction bias.
Ancient DNA from speleothems: opportunity or challenge?
Authors: Marchesini Alexis , Festi Daniela , Girardi Matteo , Micheletti Diego , Vernesi Cristiano , Luetscher Marc 
Published: October 2022

AbstractAncient environmental DNA retrieved from sedimentary records (sedaDNA) can complement fossil-morphological approaches for characterizing Quaternary biodiversity changes. PCR-based DNA metabarcoding is so far the most widely used method in environmental DNA studies, including sedaDNA. However, degradation of ancient DNA and potential contamination, together with the PCR amplification drawbacks, have to be carefully considered. Here we tested this approach on speleothems from an Alpine cave that, according to a previous palynomorphological study, have shown to contain abundant pollen grains. This offers a unique opportunity for comparing the two methods and, indirectly, trying to validate DNA-based results. The plant taxa identified by sedaDNA are fewer than those by pollen analysis, and success rate of PCR replicates is low. Despite extensive work performed following best practice for sedaDNA, our results are suboptimal and accompanied by a non-negligible uncertainty. Our preliminary data seem to indicate that paleoenvironmental DNA may be isolated from speleothems, but the intrinsic weakness of PCR-based metabarcoding poses a challenge to its exploitation. We suggest that newly developed methods such as hybridization capture, being free from PCR drawbacks and offering the opportunity to directly assess aDNA authenticity, may overcome these limitations, allowing a proper exploitation of speleothems as biological archives.
The ‘lost’ account book of the Academy of Vocal (later Ancient) Music, 1726–1731): a postscript to my article on the history of the Academy in volume 51 (2020).
Authors: Johnstone H. Diack 
Published: October 2022

AbstractThe account book of the London Academy of Vocal (later Ancient) Music (1726-31) forms the first part of a manuscript acquired by the library of the Paris Conservatoire in 1858. It went missing when, a hundred years later, it was transferred to the Bibliothèque Nationale and the second part catalogued as MS F. Rés. 1507. It did not surface again until the spring of 2020, too late to be included in the author’s long article on the history, repertoire and surviving programmes of this important eighteenth-century institution in Research Chronicle no. 51. As a postscript to that article, it is transcribed here prefaced by a short introductory essay together with such explanatory notes as the document requires.
Predicting energy intake with an accelerometer-based intake-balance method
Authors: Hibbing Paul R. , Shook Robin P. , Panda Satchidananda , Manoogian Emily N. C. , Mashek Douglas G. , Chow Lisa S. 
Published: October 2022

AbstractNutritional interventions often rely on subjective assessments of energy intake (EI), but these are susceptible to measurement error. To introduce an accelerometer-based intake-balance method for assessing EI using data from a time-restricted eating (TRE) trial. Nineteen participants with overweight/obesity (25–63 years old; 16 females) completed a 12-week intervention (NCT03129581) in a control group (unrestricted feeding;n8) or TRE group (n11). At the start and end of the intervention, body composition was assessed by dual-energy X-ray absorptiometry (DXA) and daily energy expenditure (EE) was assessed for 2 weeks via wrist-worn accelerometer. EI was back-calculated as the sum of net energy storage (from DXA) and EE (from accelerometer). Accelerometer-derived EI estimates were compared against estimates from the body weight planner of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Mean EI for the control group declined by 138 and 435 kJ/day for the accelerometer and NIDDK methods, respectively (bothP≥ 0·38),v. 1255 and 1469 kJ/day, respectively, for the TRE group (bothP< 0·01). At follow-up, the accelerometer and NIDDK methods showed excellent group-level agreement (mean bias of −297 kJ/day across arms; standard error of estimate 1054 kJ/day) but high variability at the individual level (limits of agreement from −2414 to +1824 kJ/day). The accelerometer-based intake-balance method showed plausible sensitivity to change, and EI estimates were biologically and behaviourally plausible. The method may be a viable alternative to self-report EI measures. Future studies should assess criterion validity using doubly labelled water.
Religious Politics in the German Revolution: Secularism and Socialist Opposition 1914 to 1923
Authors: Weir Todd H. 
Published: October 2022

AbstractThis article shows the significant role played by religious politics in the German Revolution of 1918. It examines first how the secularist subculture within German socialism contributed to the formation of wartime opposition that led to the 1917 split of the Social Democratic Party (SPD). It then follows the actions of secularists during the revolution itself, beginning with the attempts of one of Germany's most prominent secularists, Adolph Hoffmann, to force through a radical program of secularization upon assuming a key position in the revolutionary government of 1918. It traces the politics of religion in the writing of the Weimar Constitution before taking up the relationship of secularism to the “pure” council movement, which emerged in the years from 1919 to 1922 as an alternative both to parliamentary democracy and Bolshevik party rule.
Tracking the Mn Diffusion in the Carbon-Supported Nanoparticles Through the Collaborative Analysis of Atom Probe and Evaporation Simulation
Authors: Jung Chanwon , Jun Hosun , Jang Kyuseon , Kim Se-Ho , Choi Pyuck-Pa 
Published: October 2022

Abstract
Carbon-supported nanoparticles have been used widely as efficient catalysts due to their enhanced surface-to-volume ratio. To investigate their structure–property relationships, acquiring 3D elemental distribution is required. Here, carbon-supported Pt, PtMn alloy, and ordered Pt3Mn nanoparticles are synthesized and analyzed with atom probe tomography as model systems. A significant difference of Mn distribution after the heat-treatment was found. Finally, the field evaporation behavior of the carbon support was discussed and each acquired reconstruction was compared with computational results from an evaporation simulation. This paper provides a guideline for studies using atom probe tomography on the heterogeneous carbon-supported nanoparticle system that leads to insights toward a wide variety of applications.
Adverse childhood experiences and global mental health: avenues to reduce the burden of child and adolescent mental disorders
Authors: Ceccarelli C. , Prina E. , Muneghina O. , Jordans M. , Barker E. , Miller K. , Singh R. , Acarturk C. , Sorsdhal K. , Cuijpers P. , Lund C. , Barbui C. , Purgato M. 
Published: October 2022

AbstractMental disorders are one of the largest contributors to the burden of disease globally, this holds also for children and adolescents, especially in low- and middle-income countries. The prevalence and severity of these disorders are influenced by social determinants, including exposure to adversity. When occurring early in life, these latter events are referred to as adverse childhood experiences (ACEs).In this editorial, we provide an overview of the literature on the role of ACEs as social determinants of mental health through the lenses of global mental health. While the relation between ACEs and mental health has been extensively explored, most research was centred in higher income contexts. We argue that findings from the realm of global mental health should be integrated into that of ACEs, e.g. through preventative and responsive psychosocial interventions for children, adolescents and their caregivers. The field of global mental health should also undertake active efforts to better address ACEs in its initiatives, all with the goal of reducing the burden of mental disorders among children and adolescents globally.
Zur Messqualität des Beck-Depressionsinventars (BDI-II) in unterschiedlichen klinischen Stichproben
Authors: Keller Ferdinand , Kühner Christine , Alexandrowicz Rainer W. , Voderholzer Ulrich , Meule Adrian , Fegert Jörg M. , Legenbauer Tanja , Holtmann Martin , Bräscher Anne-Kathrin , Cordes Martin , Fehm Lydia , Fladung Anne-Katharina , Fydrich Thomas , Hamm Alfons , Heider Jens , Hoyer Jürgen , In-Albon Tina , Lincoln Tania M. , Lutz Wolfgang , Margraf Jürgen , Renneberg Babette , Schlarb Angelika , Schöttke Henning , Teismann Tobias , Velten Julia , Willutzki Ulrike , Witthöft Michael , Ziem Max , Hautzinger Martin 
Published: October 2022

Zusammenfassung. Theoretischer Hintergrund: Das BDI-II ist ein Selbstbeurteilungsinstrument zur Erfassung des Schweregrads einer Depression. Es liegen kaum Analysen mit Modellen aus der Item-Response-Theorie (IRT) vor. Fragestellung: Wie hoch ist die Messgenauigkeit des BDI-II über die unterschiedlichen Ausprägungen des latenten Traits (Depressivität) hinweg und sind die Kategorien der Items jeweils aufsteigend geordnet? Methode: Anhand von sechs großen Datensätzen aus verschiedenen klinischen Bereichen wurden psychometrische Analysen mit dem Graded Response Model durchgeführt. Ergebnisse: In allen Stichproben fand sich eine hohe interne Konsistenz. Die Schwellenwerte waren mit Ausnahme von Item 6 („Bestrafungsgefühle“) geordnet. Gemäß Testinformationsfunktion misst das BDI-II im mittleren bis hohen Depressionsbereich sehr gut (Reliabilität > .90) und im unteren Bereich gut. Schlussfolgerung: Für das BDI-II ergibt sich eine hohe und relativ gleichbleibende Messpräzision über einen weiten Bereich des latenten Traits, weshalb es insbesondere im klinischen, aber auch im nicht klinisch relevanten Wertebereich zur Erhebung des Schweregrades einer Depression gut geeignet ist.
Vertical Saltwater Intrusion in Coastal Aquifers Driven by Episodic Flooding: A Review
Authors: Cantelon Julia A. , Guimond Julia A. , Robinson Clare E. , Michael Holly A. , Kurylyk Barret L. 
Published: October 2022

AbstractLow‐elevation coastal areas are increasingly vulnerable to seawater flooding as sea levels rise and the frequency and intensity of large storms increase with climate change. Seawater flooding can lead to the salinization of fresh coastal aquifers by vertical saltwater intrusion (SWI). Vertical SWI is often overlooked in coastal zone threat assessments despite the risk it poses to critical freshwater resources and salt‐intolerant ecosystems that sustain coastal populations. This review synthesizes field and modeling approaches for investigating vertical SWI and the practical and theoretical understanding of salinization and flushing processes obtained from prior studies. The synthesis explores complex vertical SWI dynamics that are influenced by density‐dependent flow and oceanic, hydrologic, geologic, climatic, and anthropogenic forcings acting on coastal aquifers across spatial and temporal scales. Key knowledge gaps, management challenges, and research opportunities are identified to help advance our understanding of the vulnerability of fresh coastal groundwater. Past modeling studies often focus on idealized aquifer systems, and thus future work could consider more diverse geologic, climatic, and topographic environments. Concurrent field and modeling programs should be sustained over time to capture interactions between physical processes, repeated salinization and flushing events, and delayed aquifer responses. Finally, this review highlights the need for improved coordination and knowledge translation across disciplines (e.g., coastal engineering, hydrogeology, oceanography, social science) to gain a more holistic understanding of vertical SWI. There also needs to be more education of communities, policy makers, and managers to motivate societal action to address coastal groundwater vulnerability in a changing climate.
Sorting nexin-dependent therapeutic targeting of oncogenic epidermal growth factor receptor
Authors: Atwell Benjamin , Chen Cheng-Yu , Christofferson Matthew , Montfort William R. , Schroeder Joyce 
Published: October 2022

AbstractOverexpression and/or overactivation of the Epidermal Growth Factor Receptor (EGFR) is oncogenic in several tumor types yet targeting the kinase domain of wildtype EGFR has had limited success. EGFR has numerous kinase-independent roles, one of which is accomplished through the Sorting Nexin-dependent retrotranslocation of EGFR to the nucleus, which is observed in some metastatic cancers and therapeutically resistant disease. Here, we have utilized the BAR domain of Sorting Nexin 1 to create a peptide-based therapeutic (cSNX1.3) that promotes cell death in EGFR-expressing cancer. We evaluated the efficacy of cSNX1.3 in tumor-bearing WAP-TGFα transgenic mice (an EGFR-dependent model of breast cancer), where cSNX1.3 treatment resulted in significant tumor regression without observable toxicity. Evaluation of remaining tumor tissues found evidence of increased PARP cleavage, suggesting apoptotic tumor cell death. To evaluate the mechanism of action for cSNX1.3, we found that cSNX1.3 binds the C-terminus of the EGFR kinase domain at an interface site opposite the ATP binding domain with a Kd of ~4.0 µM. In vitro analysis found that cSNX1.3 inhibits the nuclear localization of EGFR. To determine specificity, we evaluated cancer cell lines expressing wildtype EGFR (MDA-MB-468, BT20 and A549), mutant EGFR (H1975) and non-transformed lines (CHO and MCF10A). Only transformed lines expressing wildtype EGFR responded to cSNX1.3, while mutant EGFR and normal cells responded better to an EGFR kinase inhibitor. Phenotypically, cSNX1.3 inhibits EGF-, NRG-, and HGF-dependent migration, but not HA-dependent migration. Together, these data indicate that targeting retrotranslocation of EGFR may be a potent therapeutic for RTK-active cancer.
A systematic review on the association of sleep-disordered breathing with cardiovascular pathology in adults
Authors: Khokhrina Anna , Andreeva Elena , Degryse Jean-Marie 
Published: October 2022

AbstractSleep-disordered breathing (SDB) is characterized by repeated breathing pauses during sleep. The prevalence of SDB varies widely between studies. Some longitudinal studies have found an association of SDB with incident or recurrent cardiovascular events. We sought to systematically describe the current data on the correlation between SDB and cardiovascular pathology. Studies were included if they were original observational population-based studies in adults with clearly diagnosed SDB. The primary outcomes include all types of cardiovascular pathology. We carried out pooled analyses using a random effects model. Our systematic review was performed according to the PRISMA and MOOSE guidelines for systematic reviews and was registered with PROSPERO. In total, 2652 articles were detected in the databases, of which 76 articles were chosen for full-text review. Fourteen studies were focused on samples of an unselected population, and 8 studies were focused on a group of persons at risk for SDB. In 5 studies, the incidence of cardiovascular pathology in the population with SDB was examined. In total, 49 studies described SDB in patients with cardiovascular pathology. We found an association between SDB and prevalent /incident cardiovascular disease (pooled OR 1.76; 95% CI 1.38–2.26), and pooled HR (95% CI 1.78; 95% CI 1.34–2.45). Notably, in patients with existing SDB, the risk of new adverse cardiovascular events was high. However, the relationship between cardiovascular disease and SDB is likely to be bidirectional. Thus, more large-scale studies are needed to better understand this association and to decide whether screening for possible SDB in cardiovascular patients is reasonable and clinically significant.
Targeted profiling of human extrachromosomal DNA by CRISPR-CATCH
Authors: Hung King L. , Luebeck Jens , Dehkordi Siavash R. , Colón Caterina I. , Li Rui , Wong Ivy Tsz-Lo , Coruh Ceyda , Dharanipragada Prashanthi , Lomeli Shirley H. , Weiser Natasha E. , Moriceau Gatien , Zhang Xiao , Bailey Chris , Houlahan Kathleen E. , Yang Wenting , González Rocío Chamorro , Swanton Charles , Curtis Christina , Jamal-Hanjani Mariam , Henssen Anton G. , Law Julie A. , Greenleaf William J. , Lo Roger S. , Mischel Paul S. , Bafna Vineet , Chang Howard Y. 
Published: October 2022

AbstractExtrachromosomal DNA (ecDNA) is a common mode of oncogene amplification but is challenging to analyze. Here, we adapt CRISPR-CATCH, in vitro CRISPR-Cas9 treatment and pulsed field gel electrophoresis of agarose-entrapped genomic DNA, previously developed for bacterial chromosome segments, to isolate megabase-sized human ecDNAs. We demonstrate strong enrichment of ecDNA molecules containing EGFR, FGFR2 and MYC from human cancer cells and NRAS ecDNA from human metastatic melanoma with acquired therapeutic resistance. Targeted enrichment of ecDNA versus chromosomal DNA enabled phasing of genetic variants, identified the presence of an EGFRvIII mutation exclusively on ecDNAs and supported an excision model of ecDNA genesis in a glioblastoma model. CRISPR-CATCH followed by nanopore sequencing enabled single-molecule ecDNA methylation profiling and revealed hypomethylation of the EGFR promoter on ecDNAs. We distinguished heterogeneous ecDNA species within the same sample by size and sequence with base-pair resolution and discovered functionally specialized ecDNAs that amplify select enhancers or oncogene-coding sequences.
Movement-related artefacts (MR-ART) dataset of matched motion-corrupted and clean structural MRI brain scans
Authors: Nárai Ádám , Hermann Petra , Auer Tibor , Kemenczky Péter , Szalma János , Homolya István , Somogyi Eszter , Vakli Pál , Weiss Béla , Vidnyánszky Zoltán 
Published: October 2022

AbstractMagnetic Resonance Imaging (MRI) provides a unique opportunity to investigate neural changes in healthy and clinical conditions. Its large inherent susceptibility to motion, however, often confounds the measurement. Approaches assessing, correcting, or preventing motion corruption of MRI measurements are under active development, and such efforts can greatly benefit from carefully controlled datasets. We present a unique dataset of structural brain MRI images collected from 148 healthy adults which includes both motion-free and motion-affected data acquired from the same participants. This matched dataset allows direct evaluation of motion artefacts, their impact on derived data, and testing approaches to correct for them. Our dataset further stands out by containing images with different levels of motion artefacts from the same participants, is enriched with expert scoring characterizing the image quality from a clinical point of view and is also complemented with standard image quality metrics obtained from MRIQC. The goal of the dataset is to raise awareness of the issue and provide a useful resource to assess and improve current motion correction approaches.
Fault diagnosis method of bearing utilizing GLCM and MBASA-based KELM
Authors: Fei Sheng-wei , Liu Ying-zhe 
Published: October 2022

AbstractIn this study, fault diagnosis method of bearing utilizing gray level co-occurrence matrix (GLCM) and multi-beetles antennae search algorithm (MBASA)-based kernel extreme learning machine (KELM) is presented. In the proposed method, feature extraction of time–frequency image based on GLCM is proposed to extract the features of the bearing vibration signal, and multi-beetles antennae search algorithm-based KELM (MBASA-KELM) is presented to recognize the states of bearing. KELM employs the kernel-based framework, which has better generalization than traditional extreme learning machine, and it is necessary to look for an excellent optimization algorithm to select appropriate regularization parameter and kernel parameter of the KELM model because these parameters of the KELM model can affect its performance. As traditional beetle antennae search algorithm only employs one beetle, which is difficult to find the optimal parameters when the ranges of the parameters to be optimized are wide, multi-beetles antennae search algorithm (MBASA) employing multi-beetles is presented to select the regularization parameter and kernel parameter of KELM. The experimental results demonstrate that MBASA-KELM has stronger fault diagnosis ability for bearing than LSSVM, and KNN.