bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotional Intelligence and Gaming Disorder Symptomatology: A Systematic Review and Meta-Analysis
Authors: Gisbert-Pérez Júlia , Badenes-Ribera Laura , Martí-Vilar Manuel 
Published: February 2024

AbstractThe increasing prevalence of the Internet gaming disorder has created an interest in identifying the factors associated with its development, including emotional intelligence, which has been negatively associated with many addictions. This work aimed to provide a narrative and quantitative synthesis of the association between emotional intelligence and Internet gaming disorder symptomatology. An online search of four electronic databases and an additional manual search identified 49 studies that met the inclusion criteria provided 54 independent samples (N = 43,289) and a total of 166 correlation coefficients. The selected studies used different definitions of emotional intelligence (i.e., emotional regulation, social-emotional competence, ability and trait). Random-effect models were used to estimate the pooled correlation coefficient between emotional intelligence and Internet gaming disorder symptomatology. The results revealed a small-to-moderate negative association between any measure of emotional intelligence and Internet gaming disorder symptomatology. However, the various characteristics involved in its study, such as methodological quality, research design, geographical location and the means of assessing emotional intelligence, could modify the association between both variables. In short, any deficits in emotional regulation or social competence could be a risk factor for developing Internet gaming disorder.
High-cardinality categorical covariates in network regressions
Authors: Richman Ronald , Wüthrich Mario V. 
Published: February 2024

AbstractHigh-cardinality (nominal) categorical covariates are challenging in regression modeling, because they lead to high-dimensional models. For example, in generalized linear models (GLMs), categorical covariates can be implemented by dummy coding which results in high-dimensional regression parameters for high-cardinality categorical covariates. It is difficult to find the correct structure of interactions in high-cardinality covariates, and such high-dimensional models are prone to over-fitting. Various regularization strategies can be applied to prevent over-fitting. In neural network regressions, a popular way of dealing with categorical covariates is entity embedding, and, typically, over-fitting is taken care of by exploiting early stopping strategies. In case of high-cardinality categorical covariates, this often leads to a very early stopping, resulting in a poor predictive model. Building on Avanzi et al. (ASTIN Bull, 2024), we introduce new versions of random effects entity embedding of categorical covariates. In particular, having a hierarchical structure in the categorical covariates, we propose a recurrent neural network architecture and a Transformer architecture, respectively, for random-effects entity embedding that give us very accurate regression models.
Removal of contaminants by chlorella species: an effort towards sustainable remediation
Authors: Pachouri Vikrant , Chandramauli Awadhesh , Singh Rajesh , Gehlot Anita , Priyadarshi Neeraj , Twala Bhekisipho 
Published: February 2024

AbstractAccording to the United Nations, Sustainable Development Goals (SDG) goal 6 and goal 14 seeks to ensure the sustainable management of water present over the earth for all. Urban cities saw a lot of expansion in terms of population and the number of industries established there. Water quality analysis becomes a huge requirement of today’s scenario due to the impurities present in water which harms the livelihood of society. Some of the hazardous impurities like heavy metals destruct the surroundings. In this study, the removal of heavy metals from wastewater with an efficient technique i.e. Bioremediation is represented with the analysis and evaluation of results recorded in the laboratory testing. Two samples were taken from two different sites which are being analyzed with the implementation methodology represented in the present article. The inclusion of the ANOVA model for the optimization of the outcome generated is evaluated and received the P-value and F-crit value. Two algae Chlorella Minutissima & Chlorella Singularis were evaluated based on their impurity removal efficiency as well an analysis of the biological treatment method over other chemical methods has been examined. The results were analyzed and represented in the form of a table as well and the variation in the value of WQP is shown in the form of graphs. The observation shows that the variation in WQP after the integration of algae lies under the permissible limit. Alkalinity is estimated in the range of 20–40 mg/l, Hardness lies in the range of 0–60mg/l, and pH comes approximately in a range of 6.5–8. The results of the ANOVA model is also depicted in graphical form highlighting the P-value and F-crit value of different result generated. Finally, the summary of the proposed work is illustrated with the challenges faced and future recommendations have been provided. Based on the evaluation, the framework is generated for the efficient technique used for heavy metal removal i.e. Bioremediation which provides a great advancement in the efficacy of removal of heavy metals.
Reproducibility of heart rate recovery measures across differing modalities and intensities of submaximal exercise in healthy volunteers: A healthy volunteer study
Authors: Minhas Haroon , Morton Christopher , Shaw Martin , Shelley Ben 
Published: February 2024

Abstract
Purpose
Submaximal exercise tests (SET) are an easier to conduct and less physically demanding alternative to cardiopulmonary exercise testing for assessment of pre-operative fitness. Assessment of heart rate recovery (HRR) following SETs offers an easily obtained marker of vagal reactivation and sympathetic withdrawal and therefore provides an indication of an individual’s fitness. This study sought to assess the reproducibility of HRR across different workloads and modalities of SET.

Methods
Thirty-four healthy volunteers were recruited to undergo two SETs at 40% and 60% of their predicted maximal workload. A second group of thirty-one healthy volunteers were recruited to undergo three SETs of differing modalities; Cycle ergometry, Step and Shuttle Walk tests. HRR was quantified using the conventional indices HRR1 and HRR2 (calculated as heart rate (HR) on exercise cessation minus HR at 1 and 2 min of rest) and a novel area under the HRR vs. time curve (HRRAUC) method. Reproducibility of results was assessed using intra-class correlation coefficient (ICC) and limits of agreements.

Results
The results showed that HRR1 and HRR2 were poorly reproducible across differing workloads and exercise modalities (ICC < 0.45 for all comparisons) whereas HRRAUC proved to be at least moderately reproducible (ICC > 0.52 for all comparisons).

Conclusions
These results suggest that HRRAUC may be a superior way of quantifying HRR following SETs, adding objectivity to SET results. Quantifying HRRAUC could prove to have useful clinical applications for pre-operative risk assessment, assessing fitness to undergo treatment and monitoring disease progression.
The ‘Courant Hilton’: building the mathematical sciences at New York University
Authors: Shields Brit 
Published: February 2024

Abstract
This essay explores how mid-twentieth-century mathematicians at New York University envisioned their discipline, cultural identities and social roles, and how these self-constructed identities materialized in the planning of their new academic building, Warren Weaver Hall. These mathematicians considered their research to be a ‘living part of the stream of science’, requiring a mathematics research library which they equated to a scientific laboratory and a complex of computing rooms which served as an interdisciplinary research centre. Identifying as ‘scientists’, they understood their societal value to be that of researchers, outputting mathematics research valuable to the natural sciences, the emerging field of computer science and the United States government and military, as well as educators. When the building opened in 1965, it was touted by the university administration as an ‘example of excellence’; it later, in 1970, became the site of heated negotiations when university student and faculty protestors staged a sit-in rebuking the Atomic Energy Commission's Computing Center housed on the second floor. A close study of the correspondence between the mathematicians and their peers in the university's administration, private foundations, government agencies and an architectural firm not only illuminates the day-to-day work practices of this eminent group of mathematicians, but also sheds light on their own self-constructed academic and social identities within their contemporaneous Cold War culture.
The velarized lateral [ɫ] in East Austrian base dialects
Authors: Luttenberger Jan , Weihs Nina , Reinisch Eva 
Published: February 2024

AbstractThis paper is concerned with the velarized lateral [ɫ] as a possible realization of the lateral phoneme /l/ in the rural Central Bavarian base dialects of German in Austria. So far, velarized laterals in Austrian German have mainly been described as a socially marked realization of /l/ in Vienna. However, descriptions of Austrian dialects mostly lack detailed acoustic analyses. Therefore, we analyzed the first two formants of alveolar laterals from dialect speakers in seventeen locations around Vienna that fall into the Central and South Central Bavarian dialect areas. Recordings were taken from the ‘German in Austria’ Corpus, from four speakers per location (two old, two young, each one male, one female), with thirty-two items per speaker with laterals in word-initial and twenty-two in word-final position. We asked whether the degree of velarization as measured by the difference between F2 and F1 (the smaller the more velarized) depends on this linguistic factor of position in the word – as has been shown for other Germanic languages – or social factors including the recording location’s distance from Vienna, age and gender of the speakers. Results showed that velarization was most frequently but not exclusively found in the Eastern region closest to Vienna (Central Bavarian dialects). Non-velarized and velarized laterals tended towards a complementary distribution in initial versus final word position and male speakers showed more velarization overall. Specifically, old speakers in locations close to Vienna tended towards more velarization in word-initial position compared to other regions, matching descriptions of Viennese dialect.
Developmental perspectives on the origins of psychotic disorders: The need for a transdiagnostic approach
Authors: Walker Elaine F. , Aberizk Katrina , Yuan Emerald , Bilgrami Zarina , Ku Benson S. , Guest Ryan M. 
Published: February 2024

AbstractResearch on serious mental disorders, particularly psychosis, has revealed highly variable symptom profiles and developmental trajectories prior to illness-onset. As Dante Cicchetti pointed out decades before the term “transdiagnostic” was widely used, the pathways to psychopathology emerge in a system involving equifinality and multifinality. Like most other psychological disorders, psychosis is associated with multiple domains of risk factors, both genetic and environmental, and there are many transdiagnostic developmental pathways that can lead to psychotic syndromes. In this article, we discuss our current understanding of heterogeneity in the etiology of psychosis and its implications for approaches to conceptualizing etiology and research. We highlight the need for examining risk factors at multiple levels and to increase the emphasis on transdiagnostic developmental trajectories as a key variable associated with etiologic subtypes. This will be increasingly feasible now that large, longitudinal datasets are becoming available and researchers have access to more sophisticated analytic tools, such as machine learning, which can identify more homogenous subtypes with the ultimate goal of enhancing options for treatment and preventive intervention.
Solar Wind Current Sheets: MVA Inaccuracy and Recommended Single‐Spacecraft Methodology
Authors: Wang R. , Vasko I. Y. , Phan T. D. , Mozer F. S. 
Published: February 2024

AbstractWe present the analysis of 1,831 current sheets (CS) observed aboard four Cluster spacecraft in a pristine solar wind. Four‐spacecraft estimates of the CS normal and propagation velocity are compared with different single‐spacecraft estimates. The Minimum Variance Analysis (MVA) of the magnetic field is shown to be highly inaccurate in estimating the normal. The MVA normal often differs by more than 60° from the normal obtained by multi‐spacecraft timing method, likely due to ambient turbulent fluctuations. In contrast, the cross‐product of magnetic fields at the CS boundaries delivers the normal with an uncertainty of less than 15° at the confidence level of 90%. The CSs are essentially frozen into plasma flow, since their propagation velocity is consistent with local ion flow velocity within 20% at the confidence level of 90%. The single‐spacecraft methodology based on the cross‐product method and frozen‐in assumption delivers the CS thickness and current density amplitude within 20% of their actual values at the confidence level of 90%. The CSs are kinetic‐scale structures with half‐thickness λ from a few tenths to tens of local proton inertial length λp and scale‐dependent shear angle and current density amplitude, and . The classification of the CSs in terms of tangential and rotational discontinuities remains a challenge, because even the four‐spacecraft normal has too large uncertainties to reveal the actual normal magnetic field component. The presented results will be valuable for the analysis of solar wind CSs, when only single‐spacecraft measurements are available.
Methylmercury Export From a Headwater Peatland Catchment Decreased With Cleaner Emissions Despite Opposing Effect of Climate Warming
Authors: McCarter C. P. R. , Sebestyen S. D. , Jeremiason J. D. , Nater E. A. , Kolka R. K. 
Published: February 2024

AbstractPeatlands are sources of bioaccumulating neurotoxin methylmercury (MeHg) that is linked to adverse health outcomes. Yet, the compounding impacts of climate change and reductions in atmospheric pollutants on mercury (Hg) export from peatlands are highly uncertain. We investigated the response in annual flow‐weighted concentrations (FWC) and yields of total‐Hg (THg) and MeHg to cleaner air and climate change using an unprecedented hydroclimatic (55‐year; streamflow, air temperature, precipitation, and peatland water tables), depositional chemistry (21‐year; Hg and major ions), and streamwater chemistry (∼17‐year; THg, MeHg, major ions, total organic carbon, and pH) data sets from a reference peatland catchment in Minnesota, USA. Over the hydroclimatic record, annual mean air temperature increased by ∼1.8°C, while baseflow and the efficiency that precipitation was converted to runoff (runoff ratio) decreased. Concurrently, precipitation‐based deposition of sulfate and Hg declined, where wet Hg deposition declined by ∼3–4 μg Hg m−2. Despite declines in wet Hg deposition over the study period, the catchment accumulated on average 0.04 ± 0.01 g Hg ha−1 yr−1 based on wet Hg deposition minus THg yield alone. Annual MeHg FWC was positively correlated with mean annual air temperatures (p = 0.03, r = 0.51), runoff ratio (p < 0.0001, r = 0.76), and wet Hg deposition concentration (p < 0.0001, r = 0.79). Decreasing wet Hg deposition and annual runoff ratios counterbalanced increased peatland MeHg production due to higher air temperatures, leading to an overall decline in streamwater MeHg FWC. Streamwater MeHg export may continue to decrease only as long as declines in runoff ratio and wet Hg deposition persistently outpace effects of increased air temperature.
Far-travelled 3700 km lateral magma propagation just below the surface of Venus
Authors: El Bilali H. , Ernst R. E. 
Published: February 2024

AbstractThe Great Dyke of Atla Regio (GDAR) is traced for ~3700 km on Venus, as a surface graben (narrow trough) interpreted to overlie a continuous laterally-emplaced underlying mafic dyke (vertical magma-filled crack). The GDAR belongs to a giant radiating dyke swarm associated with Ozza Mons (volcano), Atla Regio plume, and was fed from a magma reservoir ~600 km south of the Ozza Mons centre. A 50-degree counter-clockwise swing of the GDAR at 1200 km from the centre is consistent with a 1200 km radius for the underlying Ozza Mons plume head, and a stress link to the 10,000 km long Parga Chasmata rift system. Our discovery of the GDAR, should spur the search for additional long continuous single dykes on Venus (and Earth), with implications for estimating plume head size, locating buffered magma reservoirs, mapping regional stress variation at a geological instant, and revealing relative ages (through cross-cutting relationships) over regional-scale distances.
Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression
Authors: Tian Ruoyu , Ge Tian , Kweon Hyeokmoon , Rocha Daniel B. , Lam Max , Liu Jimmy Z. , Singh Kritika ,   Biogen Biobank Team, Levey Daniel F. , Gelernter Joel , Stein Murray B. , Tsai Ellen A. , Huang Hailiang , Chabris Christopher F. , Lencz Todd , Runz Heiko , Chen Chia-Yen 
Published: February 2024

AbstractNearly two hundred common-variant depression risk loci have been identified by genome-wide association studies (GWAS). However, the impact of rare coding variants on depression remains poorly understood. Here, we present whole-exome sequencing analyses of depression with seven different definitions based on survey, questionnaire, and electronic health records in 320,356 UK Biobank participants. We showed that the burden of rare damaging coding variants in loss-of-function intolerant genes is significantly associated with risk of depression with various definitions. We compared the rare and common genetic architecture across depression definitions by genetic correlation and showed different genetic relationships between definitions across common and rare variants. In addition, we demonstrated that the effects of rare damaging coding variant burden and polygenic risk score on depression risk are additive. The gene set burden analyses revealed overlapping rare genetic variant components with developmental disorder, autism, and schizophrenia. Our study provides insights into the contribution of rare coding variants, separately and in conjunction with common variants, on depression with various definitions and their genetic relationships with neurodevelopmental disorders.
Deciphering the mechanism of glutaredoxin-catalyzed roGFP2 redox sensing reveals a ternary complex with glutathione for protein disulfide reduction
Authors: Geissel Fabian , Lang Lukas , Husemann Britta , Morgan Bruce , Deponte Marcel 
Published: February 2024

AbstractGlutaredoxins catalyze the reduction of disulfides and are key players in redox metabolism and regulation. While important insights were gained regarding the reduction of glutathione disulfide substrates, the mechanism of non-glutathione disulfide reduction remains highly debated. Here we determined the rate constants for the individual redox reactions between PfGrx, a model glutaredoxin from Plasmodium falciparum, and redox-sensitive green fluorescent protein 2 (roGFP2), a model substrate and versatile tool for intracellular redox measurements. We show that the PfGrx-catalyzed oxidation of roGFP2 occurs via a monothiol mechanism and is up to three orders of magnitude faster when roGFP2 and PfGrx are fused. The oxidation kinetics of roGFP2-PfGrx fusion constructs reflect at physiological GSSG concentrations the glutathionylation kinetics of the glutaredoxin moiety, thus allowing intracellular structure-function analysis. Reduction of the roGFP2 disulfide occurs via a monothiol mechanism and involves a ternary complex with GSH and PfGrx. Our study provides the mechanistic basis for understanding roGFP2 redox sensing and challenges previous mechanisms for protein disulfide reduction.
Cellular reprogramming in vivo initiated by SOX4 pioneer factor activity
Authors: Katsuda Takeshi , Sussman Jonathan H. , Ito Kenji , Katznelson Andrew , Yuan Salina , Takenaka Naomi , Li Jinyang , Merrell Allyson J. , Cure Hector , Li Qinglan , Rasool Reyaz Ur , Asangani Irfan A. , Zaret Kenneth S. , Stanger Ben Z. 
Published: February 2024

AbstractTissue damage elicits cell fate switching through a process called metaplasia, but how the starting cell fate is silenced and the new cell fate is activated has not been investigated in animals. In cell culture, pioneer transcription factors mediate “reprogramming” by opening new chromatin sites for expression that can attract transcription factors from the starting cell’s enhancers. Here we report that SOX4 is sufficient to initiate hepatobiliary metaplasia in the adult mouse liver, closely mimicking metaplasia initiated by toxic damage to the liver. In lineage-traced cells, we assessed the timing of SOX4-mediated opening of enhancer chromatin versus enhancer decommissioning. Initially, SOX4 directly binds to and closes hepatocyte regulatory sequences via an overlapping motif with HNF4A, a hepatocyte master regulatory transcription factor. Subsequently, SOX4 exerts pioneer factor activity to open biliary regulatory sequences. The results delineate a hierarchy by which gene networks become reprogrammed under physiological conditions, providing deeper insight into the basis for cell fate transitions in animals.
Nucleocapsid protein-specific monoclonal antibodies protect mice against Crimean-Congo hemorrhagic fever virus
Authors: Garrison Aura R. , Moresco Vanessa , Zeng Xiankun , Cline Curtis R. , Ward Michael D. , Ricks Keersten M. , Olschner Scott P. , Cazares Lisa H. , Karaaslan Elif , Fitzpatrick Collin J. , Bergeron Éric , Pegan Scott D. , Golden Joseph W. 
Published: February 2024

AbstractCrimean-Congo hemorrhagic fever virus (CCHFV) is a WHO priority pathogen. Antibody-based medical countermeasures offer an important strategy to mitigate severe disease caused by CCHFV. Most efforts have focused on targeting the viral glycoproteins. However, glycoproteins are poorly conserved among viral strains. The CCHFV nucleocapsid protein (NP) is highly conserved between CCHFV strains. Here, we investigate the protective efficacy of a CCHFV monoclonal antibody targeting the NP. We find that an anti-NP monoclonal antibody (mAb-9D5) protected female mice against lethal CCHFV infection or resulted in a significant delay in mean time-to-death in mice that succumbed to disease compared to isotype control animals. Antibody protection is independent of Fc-receptor functionality and complement activity. The antibody bound NP from several CCHFV strains and exhibited robust cross-protection against the heterologous CCHFV strain Afg09-2990. Our work demonstrates that the NP is a viable target for antibody-based therapeutics, providing another direction for developing immunotherapeutics against CCHFV.