bluuebunny/crossref_metadata_2025_split huggingface dataset:
You have kids? How being a parent influences status and trust in the workplace
Authors: Zhang Teng , Soderberg Andrew T. 
Published: November 2022

PurposeThis paper aims to examine how individuals are perceived by their coworkers, specifically how individuals’ gender and parental status affect how much social status they are accorded in the workplace, and the extent to which they are trusted by their coworkers.Design/methodology/approachThe authors recruited an online sample of adults across North America to respond to survey questions about one of their current or former coworkers. Information was collected to determine the gender and parental status of this coworker and their perceptions of this person’s social status and how much they trusted this person.FindingsThe results showed that having children can affect how individuals are perceived by their coworkers. Specifically, compared with working men without children, working fathers were perceived to have higher status and were trusted more by their coworkers. In addition, working mothers were perceived by their coworkers to have higher status than, and trusted as much as, working women without children. Exploratory analyses revealed that working fathers were also perceived to be warmer than working men without children.Originality/valueThis study examines important workplace perceptions of parents from the perspective of their coworkers rather than from the employer perspective that is largely based on hypothetical scenarios as used in previous research.
The effect of anti-money laundering regulations on earnings management: evidence of Iran
Authors: Abdi Shima , Soroushyar Afsaneh 
Published: November 2022

Purpose
The purpose of this study is to examine the impact of anti-money laundering (AML) regulations on accrual earnings management (AEM) and real earnings management (REM) in Iran’s emerging capital market.

Design/methodology/approach
The panel data regression is used to testing hypotheses. The sample includes 2,020 data and 202 companies listed on the Tehran Stock Exchange (TSE) over a period of ten years from 2012 to 2021. Also, the companies covered in this study include financial and nonfinancial companies. Furthermore, the data related to the research variables were extracted from the annual financial statements and the TSE database.

Findings
The results show that compliance with AML regulations leads to a reduction in AEM and REM. In other words, companies with higher money laundering (ML) tend to manage their earnings, which is in line with agency theory.

Practical implications
This study has implication for policymakers and regulators, auditors and managers. Considering the negative impact of AML regulations on earnings management (EM), Iranian auditing firms need to emphasize on the full implementation of AML regulations in TSE. Also, the results of this research may aid policymakers and regulators to detect financial crimes through accounting signals.

Originality/value
To the best of the authors’ knowledge, this is the first study in an Iran capital market to examine the impact of AML regulations on EM in financial and nonfinancial companies. Previous research has not controlled for the effects of financial companies. Prior studies have not examined the effects of financial companies. In addition, this study differentiates itself from previous studies by introducing a new method for measuring the independent ML variable based on auditor opinions. The obtained data can aid international bodies to better understand compliance with ML regulations in Iran and can reduce their concerns in negotiations.
Systematically Detecting Patterns of Social, Historical and Linguistic Change: The Framing of Poverty in Times of Poverty
Authors: Schneider Gerold 
Published: November 2022

AbstractThe linguistic DNA project seeks to understand the evolution of philosophy, society and language during the Modern English period. Corpora like Early English Books Online (EEBO), Corpus of Late Modern English Texts (CLMET) and Corpus of Historical American English (COHA) allow us to apply statistical data‐driven models extracting patterns to confirm our expectations. As systems biology has revolutionised biology by systematically searching for all patterns, we detect patterns in our data systematically with contextual and distributional semantic approaches, an approach that could be called systems history. We uncover semantic patterns with methods from text mining, computational linguistics and digital humanities. We normalise the spelling automatically to present‐day variants and use bottom‐up analyses to step from words to concepts: collocations, topic modelling and distributional semantics. We illustrate the approaches with two case studies: associations of poverty changing across time, and Charles Dickens social criticism, his vision of helping to improve the situation of the poor. As no gold standard for our task exists, our approaches are exploratory, which entails considerable manual intervention, e.g. sifting candidate lists, reading excerpts and interpreting topic models. A fully automatic approach is currently neither feasible nor envisaged: semi‐automatic approaches give researchers the inspiring opportunity to interact with the texts in a constant move between distant and close reading. The different characteristics of the various statistical methods offer complementary perspectives.
Lexical and sublexical cortical tuning for print revealed by Steady‐State Visual Evoked Potentials (SSVEPs) in early readers
Authors: Wang Fang , Nguyen Quynh Trang H. , Kaneshiro Blair , Hasak Lindsey , Wang Angie M. , Toomarian Elizabeth Y. , Norcia Anthony M. , McCandliss Bruce D. 
Published: November 2022

AbstractThere are multiple levels of processing relevant to reading that vary in their visual, sublexical, and lexical orthographic processing demands. Segregating distinct cortical sources for each of these levels has been challenging in EEG studies of early readers. To address this challenge, we applied recent advances in analyzing high‐density EEG using Steady‐State Visual Evoked Potentials (SSVEPs) via data‐driven Reliable Components Analysis (RCA) in a group of early readers spanning from kindergarten to second grade. Three controlled stimulus contrasts—familiar words versus unfamiliar pseudofonts, familiar words versus pseudowords, and pseudowords versus nonwords—were used to isolate coarse print tuning, lexical processing, and sublexical orthography‐related processing, respectively. First, three overlapping yet distinct neural sources—left vOT, dorsal parietal, and primary visual cortex were revealed underlying coarse print tuning. Second, we segregated distinct cortical sources for the other two levels of processing: lexical fine tuning over occipito‐temporal/parietal regions; sublexical orthographic fine tuning over left occipital regions. Finally, exploratory group analyses based on children's reading fluency suggested that coarse print tuning emerges early even in children with limited reading knowledge, while sublexical and higher‐level lexical processing emerge only in children with sufficient reading knowledge.Research HighlightsCognitive processes underlying coarse print tuning, sublexical, and lexical fine tuning were examined in beginning readers.Three overlapping yet distinct neural sources—left ventral occipito‐temporal (vOT), left temporo‐parietal, and primary visual cortex—were revealed underlying coarse print tuning.Responses to sublexical orthographic fine tuning were found over left occipital regions, while responses to higher‐level linguistic fine tuning were found over occipito‐temporal/parietal regions.Exploratory group analyses suggested that coarse print tuning emerges in children with limited reading knowledge, while sublexical and higher‐level linguistic fine tuning effects emerge in children with sufficient reading knowledge.
Influenza vaccine effectiveness against influenza A subtypes in Europe: Results from the 2021–2022 I‐MOVE primary care multicentre study
Authors: Kissling Esther , Pozo Francisco , Martínez‐Baz Iván , Buda Silke , Vilcu Ana‐Maria , Domegan Lisa , Mazagatos Clara , Dijkstra Frederika , Latorre‐Margalef Neus , Kurečić Filipović Sanja , Machado Ausenda , Lazar Mihaela , Casado Itziar , Dürrwald Ralf , van der Werf Sylvie , O'Donnell Joan , Linares Dopido Juan Antonio , Meijer Adam , Riess Maximilian , Višekruna Vučina Vesna , Rodrigues Ana Paula , Mihai Maria Elena , Castilla Jesús , Goerlitz Luise , Falchi Alessandra , Connell Jeff , Castrillejo Daniel , Hooiveld Mariette , Carnahan Annasara , Ilić Maja , Guiomar Raquel , Ivanciuc Alina , Maurel Marine , Omokanye Ajibola , Valenciano Marta ,   I‐MOVE study team
Published: November 2022

AbstractBackgroundIn 2021–2022, influenza A viruses dominated in Europe. The I‐MOVE primary care network conducted a multicentre test‐negative study to measure influenza vaccine effectiveness (VE).MethodsPrimary care practitioners collected information on patients presenting with acute respiratory infection. Cases were influenza A(H3N2) or A(H1N1)pdm09 RT‐PCR positive, and controls were influenza virus negative. We calculated VE using logistic regression, adjusting for study site, age, sex, onset date, and presence of chronic conditions.ResultsBetween week 40 2021 and week 20 2022, we included over 11 000 patients of whom 253 and 1595 were positive for influenza A(H1N1)pdm09 and A(H3N2), respectively. Overall VE against influenza A(H1N1)pdm09 was 75% (95% CI: 43–89) and 81% (95% CI: 45–93) among those aged 15–64 years. Overall VE against influenza A(H3N2) was 29% (95% CI: 12–42) and 25% (95% CI: −41 to 61), 33% (95% CI: 14–49), and 26% (95% CI: −22 to 55) among those aged 0–14, 15–64, and over 65 years, respectively. The A(H3N2) VE among the influenza vaccination target group was 20% (95% CI: −6 to 39). All 53 sequenced A(H1N1)pdm09 viruses belonged to clade 6B.1A.5a.1. Among 410 sequenced influenza A(H3N2) viruses, all but eight belonged to clade 3C.2a1b.2a.2.DiscussionDespite antigenic mismatch between vaccine and circulating strains for influenza A(H3N2) and A(H1N1)pdm09, 2021–2022 VE estimates against circulating influenza A(H1N1)pdm09 were the highest within the I‐MOVE network since the 2009 influenza pandemic. VE against A(H3N2) was lower than A(H1N1)pdm09, but at least one in five individuals vaccinated against influenza were protected against presentation to primary care with laboratory‐confirmed influenza.
Influence of sex on renin‐angiotensin‐aldosterone system metabolites and enzymes in Doberman Pinschers
Authors: Adin Darcy B. , Hernandez Jorge A. 
Published: November 2022

AbstractBackgroundEstrogen modulates the renin‐angiotensin‐aldosterone system (RAAS) in women, but sex differences have not been fully explored in dogs.ObjectiveWe hypothesized that the RAAS profile of intact female (IF) Doberman Pinschers (DP) would differ from spayed female (SF) and intact male (IM) DP.AnimalsEighteen healthy DP (6 IF, 6 SF, 6 IM).MethodsAbsolute and indexed RAAS metabolites, angiotensin‐converting enzyme (ACE) and ACE2 activities, and genotypes (pyruvate kinase dehydrogenase 4, titin, and ACE variants) were compared among sex groups using Kruskal‐Wallis or chi‐square tests, and linear regression controlling for age. Data are expressed as median (minimum, maximum) and P < .05 was considered significant.ResultsThe ACE activity was higher in IF DP (656 pmol/L; 436, 784) compared to SF DP (411 pmol/L; 287, 451; P = .01) and IM DP (365 pmol/L; 276, 1200; P = .04) after controlling for age. Angiotensin II, angiotensin I, and plasma renin activity marker (PRA‐S) were higher in IF DP compared to SF DP, but not significantly (P ≤ .25). After controlling for age, angiotensin 1‐7/angiotensin I was lower in IF DP compared to SF DP (P = .01). Genotypes did not differ among groups. Most DP (94%) were ACE variant positive.Conclusions and Clinical SignificanceSex and reproductive status influenced the RAAS of DP, with IF DP showing genotype‐independent higher ACE activity. These findings hold implications for sterilization practices in female dogs, and support sex and reproductive status as a source of variability in RAAS studies. Additionally, the frequency of the ACE gene variant was very high in this group of DP.
Declining long‐run income elasticities and the rise of cyclicality of trade: Evidence from Greece, 1995–2018
Authors: Lazarou Nicholas‐Joseph , Zervas Andreas 
Published: November 2022

AbstractWe estimate export and import demand elasticities of Greece between 1995 and 2018 by establishing cointegrating relationships between exports or imports, income and the real effective exchange rate. When accounting for structural breaks in the series, we observe that the long‐run income elasticities of exports and imports are elastic and decline throughout the sample period. The structural component of the Greek trade growth decreases across time. The cyclical counterpart rises and exhibits high variation. Changes in the real effective exchange rate have the opposite than predicted effects on trade in the postcrisis period for exports and throughout the sample for imports.
Models for the Interplay of Mechanics, Electrochemistry, Thermodynamics, and Kinetics in Lithium-Ion Batteries
Authors: Deshpande Vikram S. , McMeeking Robert M. 
Published: November 2022

AbstractWe review a broad range of topics related to the interplay of electrochemistry and mechanics in all solid-state batteries. The modeling frameworks that exist in the literature are varied in terms of their sophistication and ability to capture critical observations. Modeling frameworks for diffusion induced stress and fracture due to lithiation swelling and shrinkage in storage materials for the cathodes are well-established along with models for lithium-ion transport in solid electrolytes. Similarly, aspects of the effect of stress on the redox reactions at the Li metal/electrolyte interface are well-understood. These models typically modify Butler–Volmer kinetics but neglect the effect of creep or other plastic deformations of the metal electrode on the interface kinetics. Nevertheless, they successfully describe the roughening of the metal electrode/electrolyte interface during deposition or plating. By contrast, Butler–Volmer kinetics accounting only for the interfacial stress are unable to predict voids that have been observed to form in the metal electrode and we discuss a hypothesis that creep deformation of the metal electrode has a more fundamental effect on the redox reactions. Similarly, models for the nucleation and growth of lithium filaments in solid electrolytes are also inconsistent with recent observations which suggest that cracks in solid electrolytes are only partially filled with lithium metal. We conclude by summarizing aspects of the interplay of electrochemistry and mechanics in all solid-state batteries that are well-understood and areas where significant open questions remain.
Distinct Persons; Distinct Territories: Rethinking the Spaces of International Organizations
Authors: Lythgoe Gail C. 
Published: November 2022

Abstract
Implicit spatial assumptions inform the law of international organisations, including the very concept of an international organization. In this paper, I argue that the reproduction of a physicalized and stato-centric notion of territory informs the idea that international organizations are functional entities without territories because ‘territory’ – as it has been long been conceptualised – has already been apportioned among states. While other disciplines underwent major epistemic change in their conceptualization of space, law retained reified assumptions of its spaces, especially so of territory. As a result, international lawyers have long assumed only states can be territorial actors. Yet with a reconceptualisation of territory, inspired by thinkers such as Lefebvre, we might instead think of the spaces of international organisations as their territories, constituted through their social practices exercising control. Moreover, this territory is distinct from the territories of member states and is not simply the aggregate of member states’ territories.
Skillful U.S. Soy Yield Forecasts at Presowing Lead Times
Authors: Vijverberg Sem , Hamed Raed , Coumou Dim 
Published: November 2022

Abstract
Soy harvest failure events can severely impact farmers, insurance companies, and raise global prices. Reliable seasonal forecasts of misharvests would allow stakeholders to prepare and take appropriate early action. However, especially for farmers, the reliability and lead time of current prediction systems provide insufficient information to justify within-season adaptation measures. Recent innovations increased our ability to generate reliable statistical seasonal forecasts. Here, we combine these innovations to predict the 1–3 poor soy harvest years in the eastern United States. We first use a clustering algorithm to spatially aggregate crop producing regions within the eastern United States that are particularly sensitive to hot–dry weather conditions. Next, we use observational climate variables [sea surface temperature (SST) and soil moisture] to extract precursor time series at multiple lags. This allows the machine learning model to learn the low-frequency evolution, which carries important information for predictability. A selection based on causal inference allows for physically interpretable precursors. We show that the robust selected predictors are associated with the evolution of the horseshoe Pacific SST pattern, in line with previous research. We use the state of the horseshoe Pacific to identify years with enhanced predictability. We achieve high forecast skill of poor harvests events, even 3 months prior to sowing, using a strict one-step-ahead train-test splitting. Over the last 25 years, when the horseshoe Pacific SST pattern was anomalously strong, 67% of the poor harvests predicted in February were correct. When operational, this forecast would enable farmers to make informed decisions on adaption measures, for example, selecting more drought-resistant cultivars or change planting management.

Significance Statement
If soy farmers would know that the upcoming growing season will be hot and dry, they could decide to take anticipatory action to reduce losses, that is, buy more drought resistant soy cultivars or change planting management. To make such decisions, farmers would need information even prior to sowing. On these very long lead times, a predictable signal can emerge from low-frequency processes of the climate system that can affect surface weather via teleconnections. However, traditional forecast systems are unable to make reliable predictions at these lead times. In this work, we used machine learning techniques to train a forecast model based on these low-frequency components. This allowed us to make reliable predictions of poor harvest years even 3 months prior to sowing.
Was Franz Baur’s Infamous Long-Range Weather Forecast for the Winter of 1941/42 on the Eastern Front Really Wrong?
Authors: Wiuff Rasmus 
Published: November 2022

Abstract
In October 1941, Nazi Germany’s High Command realized that the war against the Soviet Union could not be ended before winter. The German professor Franz Baur prepared a long-range weather forecast for the winter of 1941/42. Baur never revealed anything about this forecast. However, according to an article published 10 years after Baur’s death, Baur predicted that the winter of 1941/42 would be normal or milder than normal, primarily based on the main argument that the previous two winters had been very severe and never in climatic history had more than two severe winters occurred in a row. The winter ended up being one of the worst. Today, Baur’s prognoses from wartime are public. In this article, it is shown that the previous description of Baur’s prognosis for the winter of 1941/42 is incorrect. Baur had a problematic relationship with his colleagues, so it is possible that the story of his prognosis is incorrect due to personal and professional contradictions. Baur’s postulated prognosis for the winter of 1941/42 destroyed his reputation. Based on the original prognoses from wartime and Baur’s scientific and personal history, this article shows that this judgment was too harsh and unfair.
The Relationship Between Pre-Loss Grief, Preparedness and Psychological Health Outcomes in Relatives of People With Cancer
Authors: Schmidt Viktoria , Kaiser Julia , Treml Julia , Kersting Anette 
Published: November 2022

The aim of this study was to examine the simultaneous effects of pre-loss grief, preparedness for death and preparedness for caregiving on different psychological health outcomes in relatives of people with cancer. Two hundred ninety-nine relatives of people with cancer participated in a cross-sectional online survey. Participants were included if they spoke German and were 18 years or older. Multivariate regression analysis was conducted. Pre-loss grief was significantly associated with depression (β = .388, p < .001), anxiety (β = .429, p < .001), somatization (β = .221, p < .001) and satisfaction with life (β = −.205, p < .001). Preparedness for death was significantly associated with somatization (β = −.247, p < .001). Results suggest that people with high scores in pre-loss grief and low scores in preparedness for death are in need of early support. Interventions should address pre-loss grief and the various aspects of preparedness for death and take into account the psychological health in relatives of people with cancer. Future studies should investigate underlying mechanisms.
The clinical feasibility of artificial intelligence-assisted compressed sensing single-shot fluid-attenuated inversion recovery (ACS-SS-FLAIR) for evaluation of uncooperative patients with brain diseases: comparison with the conventional T2-FLAIR with parallel imaging
Authors: Liu Kai , Xi Bin , Sun Haitao , Wang Jian , Chen Caizhong , Wen Xixi , Zhang Yunfei , Zeng Mengsu 
Published: November 2022

Background Satisfactory magnetic resonance imaging (MRI) of those patients with involuntary head motion due to brain diseases is essential in avoiding missed diagnosis and guiding treatment. Purpose To investigate the clinical feasibility of artificial intelligence-assisted compressed sensing single-shot fluid-attenuated inversion recovery (ACS-SS-FLAIR) in evaluating patients with involuntary head motion due to brain diseases, compared with the conventional T2-FLAIR with parallel imaging (PI-FLAIR). Material and Methods A total of 33 uncooperative patients with brain disease were prospectively enrolled. Two readers independently reviewed images acquired with ACS-SS-FLAIR and PI-FLAIR at a 3.0-T MR scanner. In the aspects of qualitative evaluation of image quality, overall image quality and lesion conspicuity of ACS-SS-FLAIR and PI-FLAIR were assessed and then statistically compared by paired Wilcoxon rank-sum test. For quantitative evaluation, the relative contrast of lesion-to-cerebral parenchyma were calculated and compared. Results Overall image quality scores of ACS-SS-FLAIR evaluated by two readers were 2.94 ± 0.24 and 2.91 ± 0.29, respectively, both of which were significantly higher than that of PI-FLAIR, respectively ( P < 0.001 and <0.001). Lesion conspicuity scores of were 2.74 ± 0.47 and 2.79 ± 0.44, both of which were significantly higher than that of PI-FLAIR, respectively ( P < 0.001 and <0.001). In the quantitative evaluation for image quality, the relative contrast of lesion-to-cerebral parenchyma was 0.34 ± 0.09 in the ACS-SS-FLAIR sequence, significantly larger than that in the PI-FLAIR sequence ( P = 0.001). Conclusion The ACS-SS-FLAIR sequence is clinically feasible in the MRI workup of those patients with involuntary head motion due to brain diseases, showing shorter image acquisition time and better image quality compared with conventional PI-FLAIR.