bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feel warm then do well: understanding how green human resources management improves employee extra-role green behavior and person-organization fit
Authors: Wang Xinnan , Jin Jiafei , YahiaMarzouk Yasmine 
Published: December 2023

Abstract
Although it is an increasingly popular assumption that green human resource management (GHRM) can improve employee green behaviors, little empirical evidence has studied the link between different types (in-role and extra-role) of green behavior and how GHRM may have an impact beyond its original environmental domain. To bridge the research gap, this study develops and tests two serial mediation models of GHRM based on warm glow theory. Specifically, we propose that GHRM -as an organization management measure-will first increase employee in-role green behavior (IRGB). Then, due to employees’ perception and cognitive appraisal of organization’s GHRM policy and prosocial ‘Halo effect’ of green behavior, employees feel that they are doing the ‘right thing’, thus feel warm glow (WG) psychologically. The positive emotional experience accumulated by warm glow allows employees to obtain intrinsic rewards, resulting in green behaviors that are beyond their core task responsibilities and that can increase employee value and psychological consistency with organization. Drawing upon 301 data collected from Prolific, results support two significant serial mediation models. First, GHRM increased extra-role green behavior (ERGB) through in-role green behavior and warm glow. Second, GHRM increased person-organization fit through in-role green behavior and warm glow. Therefore, warm glow creates a spillover effect at the employee behavioral level and at the personal value level. This study contributes to existing literature by explaining how GHRM affects extra-role green behavior from a new perspective. By establishing a link between GHRM and non-green outcomes, we also expands the scope of GHRM research.
Tracking and detecting sargassum pathways across the tropical Atlantic
Authors: Fidai Y A , Dash J , Marsh R , Oxenford H A , Biermann L , Martin N , Tompkins E L 
Published: December 2023

Abstract
Pelagic sargassum (S fluitans and S natans) algal blooms and beach landings have become a regular occurrence in the Tropical Atlantic Basin since 2011; they have a variety of impacts on the marine ecosystem and blue economy. To reduce the impacts and enable effective management, forecasting and monitoring of the blooms are essential. Challenges associated with use of satellite imagery for sargassum detection in the Tropical Atlantic are spatial resolution and cloud cover, which is particularly dense in this region due to the inter-tropical convergence zone, tropical storms and hurricanes. Successful models of forecasting and prediction of pelagic sargassum are hindered by unreliable satellite data, uncertainty around windage and as well as growth and mortality. In the longer term, we aim to improve the forecast models of pelagic sargassum mat movements in open oceans by introducing evidence of the speed of travel, changing mat morphology, and size and health status of sargassum mats. To achieve this, we deployed eight trackers on floating sargassum mats in the Western Tropical Atlantic. In addition, we explore the coincidence of surface currents, wind stress and sea surface temperature as a parameter for growth on the tracker pathways. When used in conjunction with both remote sensing methods and climate data (wind, current and sea temperature), we find that GPS tracker data can facilitate more reliable monitoring of sargassum transport pathways, helps to overcome satellite-based challenges as well as model based uncertainties, and may improve the accuracy and general utility of sargassum early warning systems.
The relationship between determinants of husband–wife agreement and household climate change mitigation behavior
Authors: Hung Li-San , Li Yen-Wei , Bayrak Mucahid Mustafa 
Published: December 2023

Abstract
Reducing carbon emissions from household activities is an important element in achieving climate goals. Engagement in household climate change mitigation behaviors usually requires interaction and negotiation among household members. Congruence theory suggests that individual-determinants of climate change mitigation behavior are strongly influenced by household-level determinants, such as mutual agreement between couples, but few studies have empirically tested this hypothesis. Being a pioneer study of its kind in the field of climate change mitigation behavior, a unique dataset that contained the survey results of 152 married heterosexual couples in Taipei City, Taiwan was used to test the congruence effect on household climate change mitigation behaviors. Eight theoretical determinants of household climate change mitigation behaviors (five at individual-level and three at household-level) and the level of engagement in three household climate change mitigation behaviors were analyzed. Results from a response surface analysis suggested that none of the five individual-level determinants exhibited congruence effects, while two out of three household-level determinants exerted congruence effects on the behavior of energy-efficient appliance purchasing. In other words, based on the results of this study, married heterosexual couples having similar attitudes regarding household-level variables but not individual-level variables is a nonnegligible factor influencing engagement in household climate change mitigation behaviors that require a certain level of intrahousehold interactions.
Investigating the mechanical properties of sintered 440 C stainless steel produced by an extrusion-based 3D printer
Authors: Akhoundi Behnam , Modanloo Vahid 
Published: December 2023

Abstract
Extrusion-based 3D printing of parts is one of the simplest, cheapest, and most widely used additive manufacturing (AM) methods. The raw materials in this process are generally filaments with a constant diameter. By equipping extrusion-based 3D printers with the barrel and screw system and removing the filament manufacturing step, a wide range of materials can be 3D printed. In this research, the parts were 3D printed using a feedstock of metal powder injection molding process and with a direct granule extruder system equipped with a barrel and screw. Then, on the printed parts, debinding, sintering, and grinding processes were performed, and finally, their tensile and impact mechanical properties were evaluated. The average tensile strength and modulus are equal to 295 MPa and 85 GPa, respectively, the average of impact resistance is equal to 12.5 J and the hardness number is equal to 118 HB. In addition, by calculating the amount of porosity in the samples, the low value of the mechanical properties of the samples was justified.
Building a Child’s Trust before a Medical Procedure: A Linguistic Case Study
Authors: Depraetere Ilse , Caët Stéphanie , Debulpaep Sara , Ezzahid Siham , Janke Vikki 
Published: December 2023

Abstract
When a paediatrician establishes a trusting relationship with their patient, the chance of a positive outcome multiplies. A calm child, who participates fully in the communicative exchange is more receptive to the clinician’s requests and reports weaker sensations of pain. This experience stays with the child, shaping how they approach their healthcare as adults. Our qualitative case study unpacks the linguistic aspects of a 32-minute videoed and transcribed exchange between a paediatrician (co-author) and a five-year-old boy she is preparing for a risky procedure. It asks: what linguistic strategies reduce his anxiety? Non-pharmacological methods are key here, as deep sedation is problematic. Our study explains the communicative techniques that the paediatrician exploits. We identify how they function, and how seemingly disconnected strategies group naturally under a few general principles. This is important for professional development because fewer overarching principles are easier to grasp and subsequently to deploy. Our interdisciplinary approach, which relies on real data, can be replicated and expanded with healthcare professionals to enable them to act concretely on their language productions.
scATAC-seq preprocessing and imputation evaluation system for visualization, clustering and digital footprinting
Authors: Akhtyamov Pavel , Shaheen Layal , Raevskiy Mikhail , Stupnikov Alexey , Medvedeva Yulia A 
Published: December 2023

Abstract
Single-cell ATAC-seq (scATAC-seq) is a recently developed approach that provides means to investigate open chromatin at single cell level, to assess epigenetic regulation and transcription factors binding landscapes. The sparsity of the scATAC-seq data calls for imputation. Similarly, preprocessing (filtering) may be required to reduce computational load due to the large number of open regions. However, optimal strategies for both imputation and preprocessing have not been yet evaluated together. We present SAPIEnS (scATAC-seq Preprocessing and Imputation Evaluation System), a benchmark for scATAC-seq imputation frameworks, a combination of state-of-the-art imputation methods with commonly used preprocessing techniques. We assess different types of scATAC-seq analysis, i.e. clustering, visualization and digital genomic footprinting, and attain optimal preprocessing-imputation strategies. We discuss the benefits of the imputation framework depending on the task and the number of the dataset features (peaks). We conclude that the preprocessing with the Boruta method is beneficial for the majority of tasks, while imputation is helpful mostly for small datasets. We also implement a SAPIEnS database with pre-computed transcription factor footprints based on imputed data with their activity scores in a specific cell type. SAPIEnS is published at: https://github.com/lab-medvedeva/SAPIEnS. SAPIEnS database is available at: https://sapiensdb.com
EGR1 modulates EPHB4-induced trophoblast dysfunction in recurrent spontaneous abortion
Authors: Hua Rong , Mo Yi , Lin Xiu , Zhang Bin , He Min , Huang Chun , Huang Yujie , Li Jie , Wan Jiangfan , Qin Huamei , Xie Qinshan , Zeng Donggui , Sun Yan 
Published: December 2023

Abstract
Recurrent spontaneous abortion, defined as at least three unexplained abortions occurring before the 20-24 week of pregnancy, has a great impact on women’s quality of life. Ephrin receptor B4 has been associated with trophoblast function in preeclampsia. The present study aimed to verify the hypothesis that ephrin receptor B4 regulates the biological functions of trophoblasts in recurrent spontaneous abortion and to explore the upstream mechanism. Ephrin receptor B4 was overexpressed in mice with recurrent spontaneous abortion. Moreover, ephrin receptor B4 inhibited trophoblast proliferation, migration, and invasion while promoting apoptosis. Downregulation of early growth response protein 1 expression in mice with recurrent spontaneous abortion led to ephrin receptor B4 overexpression. Poor expression of WT1-associated protein in mice with recurrent spontaneous abortion reduced the modification of early growth response protein 1 mRNA methylation, resulting in decreased early growth response protein 1 mRNA stability and expression. Overexpression of WT1-associated protein reduced the incidence of recurrent spontaneous abortion in mice by controlling the phenotype of trophoblasts, which was reversed by early growth response protein 1 knockdown. All in all, our findings demonstrate that dysregulation of WT1-associated protein contributes to the instability of early growth response protein 1, thereby activating ephrin receptor B4-induced trophoblast dysfunction in recurrent spontaneous abortion. Our study provides novel insights into understanding the molecular pathogenesis of recurrent spontaneous abortion.
Mechanisms behind changes of neurodegeneration biomarkers in plasma induced by sleep deprivation
Authors: Eide Per Kristian , Lashkarivand Aslan , Pripp Are Hugo , Valnes Lars Magnus , Hovd Markus , Ringstad Geir , Blennow Kaj , Zetterberg Henrik 
Published: December 2023

Abstract
Acute sleep deprivation has been shown to affect cerebrospinal fluid and plasma concentrations of biomarkers associated with neurodegeneration, though the mechanistic underpinnings remain unknown. This study compared individuals who, for one night, were either subject to total sleep deprivation or free sleep, (i) examining plasma concentrations of neurodegeneration biomarkers the morning after sleep deprivation or free sleep and (ii) determining how overnight changes in biomarkers plasma concentrations correlate with indices of meningeal lymphatic and glymphatic clearance functions. Plasma concentrations of amyloid-β 40 and 42, phosphorylated tau peptide 181, glial fibrillary acid protein and neurofilament light were measured longitudinally in subjects who from Day 1 to Day 2 either underwent total sleep deprivation (n = 7) or were allowed free sleep (n = 21). The magnetic resonance imaging contrast agent gadobutrol was injected intrathecally, serving as a cerebrospinal fluid tracer. Population pharmacokinetic model parameters of gadobutrol cerebrospinal fluid-to-blood clearance were utilized as a proxy of meningeal lymphatic clearance capacity and intrathecal contrast-enhanced magnetic resonance imaging as a proxy of glymphatic function. After one night of acute sleep deprivation, the plasma concentrations of amyloid-β 40 and 42 were reduced, but not the ratio, and concentrations of the other biomarkers were unchanged. The overnight change in amyloid-β 40 and 42 plasma concentrations in the sleep group correlated significantly with indices of meningeal lymphatic clearance capacity, while this was not seen for the other neurodegeneration biomarkers. However, overnight change in plasma concentrations of amyloid-β 40 and 42 did not correlate with the glymphatic marker. On the other hand, the overnight change in plasma concentration of phosphorylated tau peptide 181 correlated significantly with the marker of glymphatic function in the sleep deprivation group but not in the sleep group. The present data add to the evidence of the role of sleep and sleep deprivation on plasma neurodegeneration concentrations; however, the various neurodegeneration biomarkers respond differently with different mechanisms behind sleep-induced alterations in amyloid-β and tau plasma concentrations. Clearance capacity of meningeal lymphatics seems more important for sleep-induced changes in amyloid-β 40 and 42 plasma concentrations, while glymphatic function seems most important for change in plasma concentration of phosphorylated tau peptide 181 during sleep deprivation. Altogether, the present data highlight diverse mechanisms behind sleep-induced effects on concentrations of plasma neurodegeneration biomarkers.
Gut-immune axis and cardiovascular risk in chronic kidney disease
Authors: Behrens Felix , Bartolomaeus Hendrik , Wilck Nicola , Holle Johannes 
Published: December 2023

ABSTRACT
Patients with chronic kidney disease (CKD) suffer from marked cardiovascular morbidity and mortality, so lowering the cardiovascular risk is paramount to improve quality of life and survival in CKD. Manifold mechanisms are hold accountable for the development of cardiovascular disease (CVD), and recently inflammation arose as novel risk factor significantly contributing to progression of CVD. While the gut microbiome was identified as key regulator of immunity and inflammation in several disease, CKD-related microbiome-immune interaction gains increasing importance. Here, we summarize the latest knowledge on microbiome dysbiosis in CKD, subsequent changes in bacterial and host metabolism and how this drives inflammation and CVD in CKD. Moreover, we outline potential therapeutic targets along the gut-immune-cardiovascular axis that could aid the combat of CVD development and high mortality in CKD.
Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning
Authors: Spies Nicholas C , Hubler Zita , Azimi Vahid , Zhang Ray , Jackups Ronald , Gronowski Ann M , Farnsworth Christopher W , Zaydman Mark A 
Published: December 2023

Abstract

Background
Intravenous (IV) fluid contamination is a common cause of preanalytical error that can delay or misguide treatment decisions, leading to patient harm. Current approaches for detecting contamination rely on delta checks, which require a prior result, or manual technologist intervention, which is inefficient and vulnerable to human error. Supervised machine learning may provide a means to detect contamination, but its implementation is hindered by its reliance on expert-labeled training data. An automated approach that is accurate, reproducible, and practical is needed.

Methods
A total of 25 747 291 basic metabolic panel (BMP) results from 312 721 patients were obtained from the laboratory information system (LIS). A Uniform Manifold Approximation and Projection (UMAP) model was trained and tested using a combination of real patient data and simulated IV fluid contamination. To provide an objective metric for classification, an “enrichment score” was derived and its performance assessed. Our current workflow was compared to UMAP predictions using expert chart review.

Results
UMAP embeddings from real patient results demonstrated outliers suspicious for IV fluid contamination when compared with the simulated contamination's embeddings. At a flag rate of 3 per 1000 results, the positive predictive value (PPV) was adjudicated to be 0.78 from 100 consecutive positive predictions. Of these, 58 were previously undetected by our current clinical workflows, with 49 BMPs displaying a total of 56 critical results.

Conclusions
Accurate and automatable detection of IV fluid contamination in BMP results is achievable without curating expertly labeled training data.
Linguistic identity in multigenerational ethnic minority/ethnically heterogeneous deaf families
Authors: Belenyi Emese , Flora Gavril 
Published: December 2023

Abstract
This paper discusses language use and identity patterns in ethnic minority/ethnically heterogeneous multigenerational deaf families in Romania, where at least one of the family members belongs to the ethnic Hungarian minority. Early childhood and school linguistic socialization, language use within the family, and cross-generational transmission of identity to children are explored. The research is based on five ethnic minority/ethnically heterogeneous multigenerational deaf family case studies. The research results show that within ethnic-national minority/ethnically heterogeneous multigenerational deaf families, complex identity patterns may develop and multifaceted linguistic communication models may prevail, including the use of national oral languages and national sign languages of the parties involved. At the same time, a kind of special linguistic and cultural enrichment, a striving for cultural-linguistic balance, may occur.
Sex differences in outcomes after acute coronary syndrome vary with age: a New Zealand national study
Authors: Earle Nikki J , Doughty Robert N , Devlin Gerry , White Harvey , Riddell Craig , Choi Yeunhyang , Kerr Andrew J , Poppe Katrina K 
Published: December 2023

Abstract

Aims
This study investigated age-specific sex differences in short- and long-term clinical outcomes following hospitalization for a first-time acute coronary syndrome (ACS) in New Zealand (NZ).

Methods and results
Using linked national health datasets, people admitted to hospital for a first-time ACS between January 2010 and December 2016 were included. Analyses were stratified by sex and 10-year age groups. Logistic and Cox regression were used to assess in-hospital death and from discharge the primary outcome of time to first cardiovascular (CV) readmission or death and other secondary outcomes at 30 days and 2 years. Among 63 245 people (mean age 69 years, 40% women), women were older than men at the time of the ACS admission (mean age 73 vs. 66 years), with a higher comorbidity burden. Overall compared with men, women experienced higher rates of unadjusted in-hospital death (10% vs. 7%), 30-day (16% vs. 12%) and 2-year (44% vs. 34%) death, or CV readmission (all P &lt; 0.001). Age group-specific analyses showed sex differences in outcomes varied with age, with younger women (&lt;65 years) at higher risk than men and older women (≥85 years) at lower risk than men: unadjusted hazard ratio of 2-year death or CV readmission for women aged 18–44 years = 1.51 [95% confidence interval (CI) 1.21–1.84] and aged ≥85 years = 0.88 (95% CI 0.83–0.93). The increased risk for younger women was no longer significant after multivariable adjustment whereas the increased risk for older men remained.

Conclusion
Men and women admitted with first-time ACS have differing age and comorbidity profiles, resulting in contrasting age-specific sex differences in the risk of adverse outcomes between the youngest and oldest age groups.
Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischaemia algorithm for patients with suspected coronary artery disease
Authors: Bär Sarah , Nabeta Takeru , Maaniitty Teemu , Saraste Antti , Bax Jeroen J , Earls James P , Min James K , Knuuti Juhani 
Published: December 2023

Abstract

Aims
Coronary computed tomography angiography (CTA) imaging is used to diagnose patients with suspected coronary artery disease (CAD). A novel artificial intelligence-guided quantitative computed tomography ischaemia algorithm (AI-QCTischaemia) aims to identify myocardial ischaemia directly from CTA images and may be helpful to improve risk stratification. The aims were to investigate (i) the prognostic value of AI-QCTischaemia amongst symptomatic patients with suspected CAD entering diagnostic imaging with coronary CTA and (ii) the prognostic value of AI-QCTischaemia separately amongst patients with no/non-obstructive CAD (≤50% visual diameter stenosis) and obstructive CAD (&gt;50% visual diameter stenosis).

Methods and results
For this cohort study, AI-QCTischaemia was calculated by blinded analysts amongst patients with suspected CAD undergoing coronary CTA. The primary endpoint was the composite of death, myocardial infarction (MI), or unstable angina pectoris (uAP) (median follow-up 6.9 years). A total of 1880/2271 (83%) patients had conclusive AI-QCTischaemia result. Patients with an abnormal AI-QCTischaemia result (n = 509/1880) vs. patients with a normal AI-QCTischaemia result (n = 1371/1880) had significantly higher crude and adjusted rates of the primary endpoint [adjusted hazard ratio (HRadj) 1.96, 95% confidence interval (CI) 1.46–2.63, P &lt; 0.001; covariates: age/sex/hypertension/diabetes/smoking/typical angina]. An abnormal AI-QCTischaemia result was associated with significantly higher crude and adjusted rates of the primary endpoint amongst patients with no/non-obstructive CAD (n = 1373/1847) (HRadj 1.81, 95% CI 1.09–3.00, P = 0.022), but not amongst those with obstructive CAD (n = 474/1847) (HRadj 1.26, 95% CI 0.75–2.12, P = 0.386) (P-interaction = 0.032).

Conclusion
Amongst patients with suspected CAD, an abnormal AI-QCTischaemia result was associated with a two-fold increased adjusted rate of long-term death, MI, or uAP. AI-QCTischaemia may be useful to improve risk stratification, especially amongst patients with no/non-obstructive CAD on coronary CTA.