bluuebunny/crossref_metadata_2025_split huggingface dataset:
The problem of universalism in (diachronic) cognitive linguistics
Authors: Bergs Alexander 
Published: November 2021

AbstractModern cognitive science and cognitive linguistics are characterized by a universalist perspective, i.e., they are investigating features and principles of cognition which can be found in all members of the human species. This in turn means that they should not only be relevant for present-day cognizers and language users, but also historically. This theoretical, programmatic paper first explores this notion of universalism in cognitive science and cognitive linguistics and suggests that the notion of cognitive universalism should be supplemented by perspectives from cognitive sociology and social cognition. These offer a middle ground in that they look at cognition as it is socially and culturally grounded, and hence inter-individual, but yet not universal. A final section on diachronic cognitive linguistics shows that in language history all three perspectives, individual, social, and universal, can have their place, and that one line of future research should explore this new perspective of social cognition in language history in order to arrive at a fuller picture of historical language users and their cognition.
On the splitting type of holomorphic vector bundles induced from regular systems of differential equation
Authors: Giorgadze Grigori , Gulagashvili Gega 
Published: November 2021

AbstractWe calculate the splitting type of holomorphic vector bundles on the Riemann sphere induced by a Fuchsian system of differential equations. Using this technique, we indicate the relationship between Hölder continuous matrix functions and a moduli space of vector bundles on the Riemann sphere. For second order systems with three singular points we give a complete characterization of the corresponding vector bundles by the invariants of Fuchsian system.
On a structure of the set of positive solutions to second-order equations with a super-linear non-linearity
Authors: Šremr Jiří 
Published: November 2021

Abstract
We study the existence and multiplicity of positive solutions to the periodic problem

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u^{\prime\prime}=p(t)u-q(t,u)u+f(t);\quad u(0)=u(\omega),\quad u^{\prime}(0)=u^{\prime}(\omega),

where

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,
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p,f\in L([0,\omega])

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q
:

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is a Carathéodory function.
By using the method of lower and upper functions, we show some properties of the solution set of the considered problem and, in particular, the existence of a minimal positive solution.
The Swiss Household Panel (SHP)
Authors: Tillmann Robin , Voorpostel Marieke , Antal Erika , Dasoki Nora , Klaas Hannah , Kuhn Ursina , Lebert Florence , Monsch Gian-Andrea , Ryser Valérie-Anne 
Published: November 2021

Abstract
Collecting data on households and individuals since 1999, the Swiss Household Panel (SHP) is an ongoing, unique, large-scale, nationally representative, longitudinal study in Switzerland (N = 9828 households and N = 15,882 persons interviewed in 2020). The SHP aims to provide both continuity and innovation in measurement and data collection. Examples of innovation are the combination of retrospective and prospective longitudinal data, the combination of survey modes notably in refreshment samples and additional studies oversampling specific population groups. This article provides an overview of the SHP – focusing on the survey’s key design features, content, data collection and adjustments, possibilities for cross-national comparisons, data use and accomplishments.
Construction design based on particle group optimization algorithm
Authors: Xia Ying , Ikbal Mohammad Asif , Shah Mohd Asif 
Published: November 2021

Abstract
The machines exhibit an intelligence which is artificial intelligence (AI), and it is the design of intelligent agents. A system is represented by an intelligent agent who perceives its environment and the success rate is maximized by taking the action. The AI research is highly specialized and there are two subfields and each communication fails often. The popular AI approaches include the traditional symbolic AI and computational intelligence. In order to optimize the seismic design of the reinforced concrete pier structure, the particle swarm optimization (PSO) algorithm and the reaction spectrum analysis method are combined; they establish a regular bridge of the design variable with cross-sectional characteristics and reinforcement ratios, with the target function. The seismic optimization design framework of the pier is transformed into a multi-objective optimization problem. Calculations show that the method can quickly obtain the optimal design parameters that meet multi-objective requirements. The improved PSO main program and the calling push-over program run time are 4.32 and 1347.56 s, respectively; the push-over program running time is 99.68% of the run time of the total program. Optimization of the seismic performance of the rear bridge pier is significantly improved and is more in line with the design method; the design method proposed in this article is more practical.
Kidney graft function before pregnancy as a predictor of graft, maternal and fetal outcomes in pregnant renal transplant recipients
Authors: Mira Filipe S. , Oliveira Joana , Sousa Filipa , Antunes Dora , Figueiredo Ana Carolina , Borges Andreia , Pais Maria S. J. , Galvão Ana , Moura Paulo , Alves Rui 
Published: November 2021

Abstract

Objectives
Maternal and fetal complications can occur in pregnant kidney transplant recipients. Since these are high-risk pregnancies, they require a multidisciplinary follow-up to prematurely detect adverse events. Identifying factors that would affect fetal, maternal and graft outcomes is essential to further stratify the risk of pregnant kidney transplant recipients.

Methods
All pregnancies in kidney transplant recipients followed in a single center for 30 years were included. Data included previous transplant information and blood and urine tests performed before pregnancy. Impact of graft function on fetal, maternal and graft outcomes was evaluated.

Results
There were 41 pregnancies among 34 patients. Mean gestational age of 35 ± 3 weeks. Caesarean section was performed in 69.4% of patients. Five pregnancies were unsuccessful (12.2%). Four patients suffered an acute graft dysfunction (9.8%) and 12 (29.3%) had a serious maternal hypertensive disorder (preeclampsia, eclampsia or HELLP syndrome). Graft function before pregnancy showed significant correlation with adverse outcomes.

Conclusions
A proteinuria >669 mg/g, serum creatinine >1.75 mg/dL and glomerular filtration rate <36.2 mL/min/1.73 m2 before pregnancy were correlated to graft dysfunction during pregnancy. Similar values of proteinuria were also associated with a risk of maternal hypertensive disorders and pregnancy failure. Therefore, in patients with proteinuria and graft dysfunction, follow-up should be stricter to quickly detect complications.
Effect of electromagnetic field on abortion: A systematic review and meta-analysis
Authors: Ghazanfarpour Masumeh , Kashani Zahra Atarodi , Pakzad Reza , Abdi Fatemeh , Rahnemaei Fatemeh Alsadat , Akbari Pouran Akhavan , Roozbeh Nasibeh 
Published: November 2021

Abstract

Background
The increasing use of new technologies by pregnant women inevitably exposes them to the risks of the electromagnetic fields (EMFs). According to the World Health Organization, EMFs are the major sources of pollutants which harm human health. This study was aimed to evaluate the effects of EMF exposure on abortion.

Methods
Web of Science, Cochrane Library, MEDLINE, PubMed, EMBASE, Scopus, and Google Scholar were searched until 2021. Pooled odds ratio (OR) with 95% confidence interval (CI) was estimated using a random-effects model. Heterogeneity was explored using Cochran’s Q test and I
2 index. A meta-regression method was employed to investigate the factors affecting heterogeneity between the studies. The Newcastle-Ottawa scale was used to assess the credibility of the studies.

Results
Eligible studies (N = 17) were analyzed with a total of 57,693 participants. The mean maternal age (95% CI) was 31.06 years (27.32–34.80). Based on meta-analysis results, the pooled estimate for OR of EMF with its effects was 1.27 (95% CI: 1.10–1.46). According to the results of meta-regression, sample size had a significant effect on heterogeneity between studies (p: 0.030), but mother’s age and publication year had no significant effect on heterogeneity (p-value of bothwere >0.05). No publication bias was observed.

Conclusion
Exposure to EMFs above 50 Hz or 16 mG is associated with 1.27× increased risk of abortion. It may be prudent to advise women against this potentially important environmental hazard. Indeed, pregnant women should receive tailored counselling.
Emission kinetics of HITC laser dye on top of arrays of Ag nanowires
Authors: Rout Sangeeta , Peters Vanessa N. , Pradhan Sangram K. , Bonner Carl E. , Noginov Mikhail A. 
Published: November 2021

Abstract
We have grown arrays of silver nanowires in pores of anodic alumina membranes (metamaterials with hyperbolic dispersion at λ ≥ 615 nm), spin coated them with the dye-doped polymer (HITC:PMMA), and studied the rates of radiative and nonradiative relaxation as well as the concentration quenching (Förster energy transfer to acceptors). The results were compared to those obtained on top of planar Ag films and glass (control samples). The strong spatial inhomogeneity of emission kinetics recorded in different spots across the sample and strong inhibition of the concentration quenching in arrays of Ag nanowires are among the most significant findings of this study.
Establishing exhaustive metasurface robustness against fabrication uncertainties through deep learning
Authors: Jenkins Ronald P. , Campbell Sawyer D. , Werner Douglas H. 
Published: November 2021

Abstract
Photonic engineered materials have benefitted in recent years from exciting developments in computational electromagnetics and inverse-design tools. However, a commonly encountered issue is that highly performant and structurally complex functional materials found through inverse-design can lose significant performance upon being fabricated. This work introduces a method using deep learning (DL) to exhaustively analyze how structural issues affect the robustness of metasurface supercells, and we show how systems can be designed to guarantee significantly better performance. Moreover, we show that an exhaustive study of structural error is required to make strong guarantees about the performance of engineered materials. The introduction of DL into the inverse-design process makes this problem tractable, enabling optimization runtimes to be measurable in days rather than months and allowing designers to establish exhaustive metasurface robustness guarantees.
Inverse design of organic light-emitting diode structure based on deep neural networks
Authors: Kim Sanmun , Shin Jeong Min , Lee Jaeho , Park Chanhyung , Lee Songju , Park Juho , Seo Dongjin , Park Sehong , Park Chan Y. , Jang Min Seok 
Published: November 2021

Abstract
The optical properties of thin-film light emitting diodes (LEDs) are strongly dependent on their structures due to light interference inside the devices. However, the complexity of the design space grows exponentially with the number of design parameters, making it challenging to optimize the optical properties of multilayer LEDs with rigorous electromagnetic simulations. In this work, we demonstrate an artificial neural network that can predict the light extraction efficiency of an organic LED structure in 30 ms, which is ∼103 times faster than the rigorous simulation in a single-treaded execution with root-mean-squared error of 1.86 × 10−3. The effective inference time per structure is brought down to ∼0.6 μs with unaltered error rate with parallelization. We also show that our neural networks can efficiently solve the inverse problem – finding a device design that exhibits the desired light extraction spectrum – within the similar time scale. We investigate the one-to-many mapping issue of the inverse problem and find that the degeneracy can be lifted by incorporating additional emission spectra at different observing angles. Furthermore, the forward neural network is combined with a conventional genetic algorithm to address additional large-scale optimization problems including maximization of light extraction efficiency and minimization of angle dependent color shift. Our approach establishes a platform for tackling computation-heavy optimization tasks with one-time computational cost.
The influence of pigment modulus on failure resistance of paper barrier coatings
Authors: Zhu Yaping , Bousfield Douglas , Gramlich William 
Published: November 2021

Abstract
Pigments are often used in water borne barrier coatings but tend to make the coatings prone to failure. The pigment properties effects on this issue is lacking in literature. In this work, coatings that used pigments with different moduli but with similar size and aspect ratio were characterized in terms of water vapor resistance before and after folding. Coatings with talc had better water vapor resistance than coatings with similar sized kaolin. Talc also limited the degradation of barrier properties when folded. Coatings with metalized poly(ethylene terephthalate) (PET) flakes had better failure resistance than coatings with similarly sized rigid mica. Both results are likely caused by the ability of the low modulus pigment to deform and allow for strain to occur in the pigment as well as the latex phase. Styrene-butadiene (SB) and natural rubber (NR) latex coatings had a better failure resistance than styrene-acrylate (SA) latex, which is likely due to their low glass transition temperatures and high strain-to-failure values. However, coatings with high amounts of SB or NR latex may lead to blocking issues in production. Adding kaolin into SA and SB latex mixtures resulted in improved water vapor barrier property and failure resistance.
Preliminary Evaluation of the Terrestrial Laser Scanning Survey of the Subterranean Structures at Hagia Sophia
Authors: Diker Hasan Fırat , Esmer Mine 
Published: November 2021

Abstract
This article presents the preliminary evaluation of the first terrestrial laser scan survey on the subterranean structures of Hagia Sophia, which was built in the Late Antique Era in Istanbul. The project which was carried out in 2020, aimed to study the underground network of Hagia Sophia which consists of ventilation channels, wells, and other spatial units of various sizes, serving various functions (e.g. a passage, hypogeum, and cellar). This project allowed for a visualization of units that have a total length of approximately 936 m. According to our observations, this infrastructure provided water supply, drainage, and air circulation. The cloud point data derived from the scanning provided us with a plan overlapping with the ground floor, and multiple cross-sections which present the relationship of the different layers with each other. To this end, the survey helps understand the different underground layers, as well as their relations with the superstructures. These relations enabled us to discuss on the atriums of the Theodosian Hagia Sophia and Justinian’s Hagia Sophia. Finally, we could determine the points where the debris and mud has blocked or restricted air circulation in the channels.
Electronic waste exposure and DNA damage: a systematic review and meta-analysis
Authors: Issah Ibrahim , Arko-Mensah John , Agyekum Thomas P. , Dwomoh Duah , Fobil Julius N. 
Published: November 2021

Abstract

Objectives
Inappropriate processing and disposal of electronic waste (e-waste) expose workers and surrounding populations to hazardous chemicals, including clastogens and aneugens. Recently, considerable literature has grown around e-waste recycling, associated chemical exposures and intermediate health outcomes, including DNA damage. Micronuclei (MN) frequency has been widely used as a biomarker to investigate DNA damage in human populations exposed to genotoxic agents. We conducted a systematic review of published studies to assess DNA damage in e-waste-exposed populations and performed a meta-analysis to evaluate the association between e-waste exposure and DNA damage.

Methods
This systematic review with meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement checklist. Articles published in English from January 2000 through December 2020 investigating the associations between e-waste exposure and DNA damage were retrieved from the following three major databases: MEDLINE, ProQuest, and Scopus. Studies that reported the use of MN assay as a biomarker of DNA damage were included for meta-analysis. Studies that also reported other DNA damage biomarkers such as chromosomal aberrations, comet assay biomarkers, 8-hydroxy-2′-deoxyguanosine (8-OHdG), telomere length, apoptosis rate were reported using narrative synthesis.

Results
A total of 20 publications were included in this review, of which seven studies were within the occupational setting, and the remaining 13 studies were ecological studies. The review found six biomarkers of DNA damage (micronuclei, comets assay parameters (tail length, % tail DNA, tail moment, and olive tail moment), 8-OHdG, telomere length, apoptosis rate and chromosomal aberrations) which were assessed using seven different biological matrices (buccal cells, blood, umbilical cord blood, placenta, urine and semen). Most studies showed elevated levels of DNA damage biomarkers among e-waste exposed populations than in control populations. The most commonly used biomarkers were micronuclei frequency (n=9) in peripheral blood lymphocytes or buccal cells and 8-OHdG (n=7) in urine. The results of the meta-analysis showed that electronic waste recycling has contributed to an increased risk of DNA damage measured using MN frequency with a pooled estimate of the standardized mean difference (SMD) of 2.30 (95% CI: 1.36, 3.24, p<0.001) based on 865 participants.

Conclusions
Taken together, evidence from this systematic review with meta-analysis suggest that occupational and non-occupational exposure to e-waste processing is associated with increased risk of DNA damage measured through MN assay and other types of DNA damage biomarkers. However, more studies from other developing countries in Africa, Latin America, and South Asia are needed to confirm and increase these results’ generalizability.
Appraisal as co-selection and media performativity: 5G technology imaged in German news discourse
Authors: Dong Min , Gao Mengfei 
Published: November 2021

Abstract
This article views appraisal as co-selection patterns of target, source and evaluative parameters and investigates the ways in which news discourse retells news stories and reproduces truthful reality. We combined the corpus-assisted method and quantitative/qualitative analysis of the data, i.e., 904 sentences which were extracted from the corpus of German 5G news reports by selecting the top 5 items from each of the noun keywords lists of the three subcorpora of economics, politics and technology news reports. It was found that the German media restage the necessity and desirability to promote the development of German communication facilities/technology through international cooperation, particularly Germany-Sino cooperation. In addition, a hesitant image was evoked as to the high-profile 5G development in Germany with an awareness of the potential security risks and economic losses. On the intersubjective dimension, our findings suggest that journalists make full exploitation of different dialogistic positioning strategies for closing down or opening up the dialogic space to a greater or lesser degree. More specifically, they tend to acknowledge and endorse the positive/negative attitudes attributed to the non-authorial voices towards particular targets in the fields of economics, politics or technology. A future comparison with the genre of news comments or editorials would deepen our understanding of the performativity of media.
Dynamic Recovery: GABA Agonism Restores Neural Variability in Older, Poorer Performing Adults
Authors: Lalwani Poortata , Garrett Douglas D. , Polk Thad A. 
Published: November 2021

Aging is associated with cognitive impairment, but there are large individual differences in these declines. One neural measure that is lower in older adults and predicts these individual differences is moment-to-moment brain signal variability. Testing the assumption that GABA should heighten neural variability, we examined whether reduced brain signal variability in older, poorer performing adults could be boosted by increasing GABA pharmacologically. Brain signal variability was estimated using fMRI in 20 young and 24 older healthy human adults during placebo and GABA agonist sessions. As expected, older adults exhibited lower signal variability at placebo, and, crucially, GABA agonism boosted older adults' variability to the levels of young adults. Furthermore, poorer performing older adults experienced a greater increase in variability on drug, suggesting that those with more to gain benefit the most from GABA system potentiation. GABA may thus serve as a core neurochemical target in future work on aging- and cognition-related human brain dynamics.SIGNIFICANCE STATEMENTPrior research indicates that moment-to-moment brain signal variability is lower in older, poorer performing adults. We found that this reduced brain signal variability could be boosted through GABA agonism in older adults to the levels of young adults and that this boost was largest in the poorer performing older adults. These results provide the first evidence that brain signal variability can be restored by increasing GABAergic activity and suggest the promise of developing interventions targeting inhibitory systems to help slow cognitive declines in healthy aging.
Between the Culture and Barbarians: Semiotic Analysis of the Poem „Venetian Mask...“ by Giedrė Kazlauskaitė
Authors: Sadauskaitė-Varnelė Karolina 
Published: November 2021

This article presents the semiotic analysis of Giedrė Kazlauskaitė poem Venecijietiška kaukė… The research aims to delve into the structures of the poetic world of Giedrė Kazlauskaitė, which is achieved through executing a detailed semiotic analysis of one poem. Accordingly, this paper follows the semiotic framework of the analytical trajectory, which encompasses the analysis through the means of discursive, narrative, and logical semantic levels. In addition, the study includes Yuri Lotman’s discourse of the concept of the mirror in cultural semiotics. Findings derived from the semiotic analysis suggest that the figures of the mask and the mirror become central representations at the discursive level of the poem, as they exist in a paratopic space - the make-up room. The mask and the mirror appear in Kazlauskaitė’s poetry as an essential tool for shaping one’s own identity. Moreover, the analysis of the poem is supplemented with the expression of the passions of anger and jealousy. Such approach highlights two different forms of anger: destruction arising from jealousy and a creative act. These forms suggest that the passion of anger drives the subject to the act of doing. Furthermore, in this poem, the figure of the poet is not presented as calm or accommodating, but rather as angry and unafraid to show contempt.