bluuebunny/crossref_metadata_2025_split huggingface dataset:
Socratic Irony and Argumentation
Authors: Airaksinen Timo 
Published: November 2021

AbstractSocratic irony can be understood independently of the immortal heroics of Plato’s Socrates. We need a systematic account and criticism of it both as a debate-winning strategy of argumentation and teaching method. The Speaker introduces an issue pretending to be at a lower intellectual level than her co-debaters, or Participants. An Audience looks over and evaluates the results. How is it possible that the Speaker like Socrates is, consistently, in the winning position? The situation is ironic because the Participants fight from a losing position but realize it too late. Socratic irony compares with divine irony: divine irony is a subtype of Socratic irony since you lose when you challenge gods. Socratic irony is also, prima facie, a subtype of dramatic irony when the Audience knows more than the Participants on the stage.We must distinguish between the ideal and realistic elements of Socratic Irony. The very idea of Socratic irony looks idealized, or it is an ideal case, which explains the Speaker’s consistently winning position. In real life, the debate must be rigged, or the Dutch Book argument applies to the Participants, if the Speaker is so successful.
Climate change literacy and migration potential: micro-level evidence from Africa
Authors: Helbling Marc , Auer Daniel , Meierrieks Daniel , Mistry Malcolm , Schaub Max 
Published: November 2021

AbstractWhile a growing literature studies the effects of climate change on international migration, still only relatively little is known about the individual mechanisms linking migration decisions to climate change. We argue that climate change literacy (i.e., knowledge about climate change) is a major determinant of why some individuals consider migrating to other countries in response to climate change effects. In particular, climate change literacy helps individuals translate their perceptions of temperature changes into an understanding of these changes’ irreversible long-term consequences. We test this hypothesis using highly accurate geo-coded data for 37,000 individuals across 30 African countries. We show that climate change indeed leads to stronger migration intentions among climate literates only. Furthermore, we show that climate change only increases migration intentions among climate literates when it is approximated by long-run increases in local temperatures, but not when operationalized as changing heat wave or precipitation patterns. Further analyses show that climate literates are more likely to live in urban areas, have a higher news consumption, are highly educated, and have demanding occupations. Consequently, climate change may further deprive affected countries of valuable talent.
The NetSage measurement and analysis framework in practice
Authors: Schopf Jennifer M. , Turner Katrina , Doyle Dan , Lake Andrew , Leigh Jason , Tierney Brian L. 
Published: November 2021

AbstractData sharing is required for research collaborations, but effective data transfer performance continues to be difficult to achieve. The NetSage Measurement and Analysis Framework can assist in understanding research data movement. It collects a broad set of monitoring data and builds performance Dashboards to visualize the data. Each Dashboard is specifically designed to address a well-defined analysis need of the stakeholders. This paper describes the design methodology, the resulting architecture, the development approach and lessons learned, and a set of discoveries that NetSage Dashboards made possible.
Supervisory controller synthesis and implementation for safety PLCs
Authors: Reijnen Ferdie F. H. , Erens Toby R. , van de Mortel-Fronczak Joanna M. , Rooda Jacobus E. 
Published: November 2021

AbstractThe development of supervisory controllers for cyber-physical systems is a laborious and error-prone process. Supervisor synthesis enables control designers to automatically synthesize a correct-by-construction supervisor from a model of the plant combined with a model of the control requirements. From the supervisor model, controller code can be generated which is suitable for the implementation on a programmable logic controller (PLC). Supervisors for industrial systems that operate in close proximity to humans have to adhere to strict safety standards. To achieve these standards, safety PLCs (SPLCs) are used. For SPLC implementation, the supervisor has to be split into a regular part and a safety part. In previous work, a method is proposed to automatically split a supervisor model for this purpose. The method assumes that the provided plant model is a collection of finite automata. In this paper, the extension to extended finite automata is described. Additionally, guidelines are provided for modeling the plant and the requirements to achieve a favorable splitting. A case study on a rotating bridge is elaborated which has been used to validate the method. The case study spans all development steps, including the implementation of the resulting supervisor to control the real bridge.
There is an Evidence Crisis in Science Educational Policy
Authors: Zhang Lin , Kirschner Paul A. , Cobern William W. , Sweller John 
Published: November 2021

AbstractThere is a considerable gap between many of the findings from educational psychology research and educational practice. This gap is especially notable in the field of science education. In this article, the implications of three categories of research and their findings for science educational policy in the USA and other jurisdictions were reviewed. We indicate that a particular category of research that we call “Program-Based Studies,” has dominated the formulation of educational standards while a large number of critical findings from randomized, controlled studies and correlational studies that overwhelmingly show minimal support for the suggested policy have been marked as irrelevant and excluded. The current blanket-emphasis on program-based studies at the expense of the other types of research is misplaced. Educational standards should represent a balanced view of the available data including findings from controlled and correlational studies. Finally, we indicate how these different forms of research might inform each other and provide coherent and consistent implications for educational procedures.
Mössbauer measurements of GaFeO3 single crystal multiferroic
Authors: Szymański K. , Olszewski W. , Butkiewicz P. , Biernacka M. , Satuła D. , Rećko K. , Szafrański M. 
Published: November 2021

AbstractMössbauer measurements on single crystal absorbers at room and at low temperatures were performed. The results are fully consistent with previously published reports by other groups. Spectra of single crystals were simultaneously analyzed including magnetic dipole and electric quadrupole interactions. The analysis shows that there is a small component of magnetic moments perpendicular to the magnetic easy axis. Mössbauer data seem not agree with commonly accepted ferrimagnetic structure of GaFeO3.
A Training Set Subsampling Strategy for the Reduced Basis Method
Authors: Chellappa Sridhar , Feng Lihong , Benner Peter 
Published: November 2021

AbstractWe present a subsampling strategy for the offline stage of the Reduced Basis Method. The approach is aimed at bringing down the considerable offline costs associated with using a finely-sampled training set. The proposed algorithm exploits the potential of the pivoted QR decomposition and the discrete empirical interpolation method to identify important parameter samples. It consists of two stages. In the first stage, we construct a low-fidelity approximation to the solution manifold over a fine training set. Then, for the available low-fidelity snapshots of the output variable, we apply the pivoted QR decomposition or the discrete empirical interpolation method to identify a set of sparse sampling locations in the parameter domain. These points reveal the structure of the parametric dependence of the output variable. The second stage proceeds with a subsampled training set containing a by far smaller number of parameters than the initial training set. Different subsampling strategies inspired from recent variants of the empirical interpolation method are also considered. Tests on benchmark examples justify the new approach and show its potential to substantially speed up the offline stage of the Reduced Basis Method, while generating reliable reduced-order models.
Genome survey sequencing of common vetch (Vicia sativa L.) and genetic diversity analysis of Chinese germplasm with genomic SSR markers
Authors: Ma Lin , Wang Xiao , Yan Min , Liu Fang , Zhang Shuxing , Wang Xuemin 
Published: November 2021

AbstractBackgroundCommon vetch (Vicia sativaL.) is an annual legume with excellent suitability in cold and dry regions. Despite its great applied potential, the genomic information regarding common vetch currently remains unavailable.Methods and resultsIn the present study, the whole genome survey of common vetch was performed using the next-generation sequencing (NGS). A total of 79.84 Gbp high quality sequence data were obtained and assembled into 3,754,145 scaffolds with an N50 length of 3556 bp. According to the K-mer analyses, the genome size, heterozygosity rate and GC content of common vetch genome were estimated to be 1568 Mbp, 0.4345 and 35%, respectively. In addition, a total of 76,810 putative simple sequence repeats (SSRs) were identified. Among them, dinucleotide was the most abundant SSR type (44.94%), followed by Tri- (35.82%), Tetra- (13.22%), Penta- (4.47%) and Hexanucleotide (1.54%). Furthermore, a total of 58,175 SSR primer pairs were designed and ten of them were validated in Chinese common vetch. Further analysis showed that Chinese common vetch harbored high genetic diversity and could be clustered into two main subgroups.ConclusionThis is the first report about the genome features of common vetch, and the information will help to design whole genome sequencing strategies. The newly identified SSRs in this study provide basic molecular markers for germplasm characterization, genetic diversity and QTL mapping studies for common vetch.
Constant Mean Curvature Surfaces Based on Fundamental Quadrilaterals
Authors: Bobenko Alexander I. , Heller Sebastian , Schmitt Nick 
Published: November 2021

AbstractWe describe the construction of CMC surfaces with symmetries in $\mathbb {S}^{3}$

S

3

and $\mathbb {R}^{3}$

ℝ

3

using a CMC quadrilateral in a fundamental tetrahedron of a tessellation of the space. The fundamental piece is constructed by the generalized Weierstrass representation using a geometric flow on the space of potentials.
GIS-based approach for evaluating a community intrinsic resilience index
Authors: Gerges Firas , Nassif Hani , Geng Xiaolong , Michael Holly A. , Boufadel Michel C. 
Published: November 2021

AbstractCommunity resilience refers to the degree to which a community can survive and recover following a disaster. While resilience itself is well understood, decisions that would enhance resilience are interdependent and involve various stakeholders. There are indices for evaluating community resilience, but these have the shortcoming that they compare between political entities, such as counties. Therefore, one cannot ascertain that a county is truly resilient. In addition, natural disasters depend on the landscape and thus have no relation to the political boundaries. Our metric aims to capture the information into a Community Intrinsic Resilience Index (CIRI), which embodies the resilience level of four critical sectors: transportation, energy, health and socio-economic. As a case study, we computed CIRI for the counties within New Jersey. Results showed that within NJ, CIRI ranged from 63 to 80%. A post-disaster CIRI, following a scenario of flooding, revealed that two coastal counties would have low CIRI values due to the reduction in the road area and/or the GDP (local economy shut down) to below minimum values. We believe that our platform would further advance the efforts to fill the gap between resilience research and applications and would help decision and policy makers to integrate resilience within the planning and design phases of disaster management.
Glyphosate residues alter the microbiota of a perennial weed with a minimal indirect impact on plant performance
Authors: Ramula S. , Mathew S. A. , Kalske A. , Nissinen R. , Saikkonen K. , Helander M. 
Published: November 2021

AbstractPurposeIn cold climates, glyphosate residues may linger in soils, with effects on plant–microbe interactions and, consequently, plant performance. Here, we explore the influence of glyphosate residues on the endophytic microbiota (bacteria and fungi) and performance of the perennial nitrogen-fixing weedLupinus polyphyllus.MethodsIn a common garden, we grew plants from six populations ofL. polyphyllusin glyphosate-treated or untreated control soils, with or without additional phosphorus. We sampled plant microbiota (leaves, roots, nodules) and assessed plant performance based on six traits: height, retrogression probability (i.e. shrinkage), biomass, root:shoot ratio, nodule number, and nodule viability.ResultsThe richness of plant endophytic microbial communities was determined by soil phosphorus level rather than by glyphosate treatment. However, for bacteria, the composition of these communities differed between glyphosate-treated and control soils across plant tissue types; no difference was observed for fungi. The plant bacterial communities in both soil types were dominated by potential nitrogen-fixing bacteria belonging to family Bradyrhizobiaceae, and particularly so in glyphosate-treated soils. Overall, though, these changes in plant bacterial communities had a minor effect on plant performance: the only difference we detected was that the probability of retrogression was occasionally higher in glyphosate-treated soils than in control soils.ConclusionOur findings indicate that glyphosate-based herbicides, when applied at the recommended frequency and concentration, may not have critical effects on the growth of short-lived weeds after the safety period has passed; however, the endophytic microbiota of such weeds may experience longer-lasting shifts in community structure.
Affirmative Action Policies in Academic Job Advertisements: Do They Facilitate or Hinder Gender Discrimination in Hiring Processes for Professorships?
Authors: Henningsen Levke , Horvath Lisa K. , Jonas Klaus 
Published: November 2021

AbstractEvidence of female-favoring hiring preferences for assistant professorships suggests that universities can implement affirmative action programs successfully. However, research on the role of applicant gender and the actual use of affirmative action policies in hiring processes for high-level professorships remain scarce. A web-based experiment with 481 economic university members assessed whether evaluators perceived a female applicant as less qualified than a male applicant for an associate professorship position when the job advertisement highlighted the university’s commitment to affirmative action (gender-based preferential selection) but not when it solely highlighted its commitment to excellence (non-gender-based selection). Contrary to previous experimental findings that affirmative action would adversely affect female applicants, evaluators perceived the female applicant as more hirable and ranked her first for the job significantly more often than the male candidate. Furthermore, male evaluators had a stronger preference for the female candidate in the gender-based condition than in the non-gender-based condition and a stronger preference for the male candidate in the non-gender-based condition than in the gender-based condition. Overall, the results provide evidence that gender-based preferential selection policies can evoke their intended effect to bring highly qualified women to high-level professorships, especially when being evaluated by non-beneficiaries of these policies, such as men.
Unexpected results found in larvae samples from two postmortem forensic cases
Authors: Groth Olwen , Franz Simon , Fels Helena , Krueger Julia , Roider Gabriele , Dame Torsten , Musshoff Frank , Graw Matthias 
Published: November 2021

AbstractPurposeIn forensics, entomological specimens can be used as additional/alternative matrices to detect xenobiotics when human specimens are limited in their application. Despite some advantages over implementing putrefied human remains, most medico-legal laboratories do not include entomotoxicological procedures as routine analytical methods. We thus applied two authentic cases to evaluate necrophagous larvae’s potential as complementary matrices for toxicological analysis after extensive postmortem decomposition.MethodsLarvae and postmortem human samples, including hair, stomach contents, pericardial fluid, liver, lung, and skeletal muscle, were collected at autopsy. Samples were analyzed by liquid chromatography–tandem mass spectrometry and liquid chromatography–quadrupole time-of-flight mass spectrometry for pharmaceutical substances, illicit drugs, and new psychoactive substances, including synthetic cannabinoids, benzodiazepines, new synthetic opioids, and stimulants.ResultsNearly all substances detected in human specimens, including several benzodiazepines and synthetic cannabinoids, were also detected in larvae. Surprisingly, some drugs, including the new psychoactive substances EAM-2201 and U-47700, were found exclusively in larvae and hair. The benzodiazepine etizolam was detected only in liver, lungs, and stomach contents, possibly resulting from characteristic tissue distribution in humans and/or larvae.ConclusionsAntemortem external hair contamination with synthetic cannabinoids from side-stream smoke and postmortem hair contamination with substances in putrefaction fluids can be supposed in these cases. Our findings suggest that supplementary information can indeed be gained from analyzing larvae additional to those human specimens that are typically used for toxicological analysis after extensive postmortem decomposition. Nevertheless, these results represent merely two cases, requiring in-depth studies to determine whether such findings can identify acute intoxications as possible causes of death.
Revisiting the carbon mesopore contribution towards improved performance of ionic liquid–based EDLCs at sub-zero temperatures
Authors: Pavlenko V. , Kalybekkyzy S. , Knez D. , Abbas Q. , Mansurov Z. , Bakenov Zh. , Ng A. 
Published: November 2021

AbstractThe important role of mesopores has been investigated in electric double-layer capacitors (EDLCs) operating from 24 °C down to − 40 °C by using two in-house synthesized carbons with hierarchical porosity. These carbons were prepared from colloidal nanoparticles of SiO2 as the template and d-glucose as the carbon source. A decrease in the average diameter of the nanoparticles from 12 to 8 nm results in increased surface area and offers a perfect match between ions of binary mixture of imidazolium-based fluorinated ionic liquids and the pores of carbon. Short-range graphene layers produced with 8-nm silica nanoparticles lead to the creation of transport channels which better accommodate ions. We explain these findings per coulombic interactions among the ions and between the pore wall and the ionic species under confinement and electrochemical polarization conditions. Further, it is shown that a microporous carbon (another in-house produced rice-husk carbon SBET = 1800 m2∙g−1) performs better than hierarchical carbons at room temperature; however, thanks to the large fraction of mesopores, the latter exhibit far higher capacitance down to − 40 °C. While the ordering of ions in confinement is more critical at room temperature and dictated by the micropores, low temperature performance of supercapacitors is determined by the mesopores that provide channels for facile ion movement and keep the bulk ionic liquid–like properties.
Graphical abstract
Review of Greenhouse Gas Emissions from Rewetted Agricultural Soils
Authors: Bianchi Andrea , Larmola Tuula , Kekkonen Hanna , Saarnio Sanna , Lång Kristiina 
Published: November 2021

AbstractClimate policies encourage the search for greenhouse gas (GHG) mitigation options in all economic sectors and peatland rewetting is one of the most efficient mitigation measures in agriculture and land use. The benefits shown in the national GHG inventories, however, depend not only on the actual mitigation actions on the ground but also how well the effects can be reported. Currently there are no specific emission factors for reporting GHG emissions from rewetted agricultural soils as the current emission factors are aggregated for several pre-rewetting land use types. Also, rewetting can aim at either restoration or different forms of paludiculture which may differ in their GHG profile and thus demand disaggregated emission factors. We compiled the current knowledge on GHG emissions on sites where rewetting has occurred on former agricultural peatland in temperate or boreal climate zones. The recent data suggest that on average the current emission factors for rewetting nutrient-rich sites published by the Intergovernmental Panel for Climate Change (IPCC) provide a good estimate for reporting emissions from rewetting in the temperate zone. However, the total GHG balances differed widely in restoration, Sphagnum farming and production of emergent plants in paludiculture and it is evident that disaggregated emission factors will be needed to improve the accuracy of reporting the effects of mitigation measures in the GHG inventories.
Students Eat Less Meat After Studying Meat Ethics
Authors: Schwitzgebel Eric , Cokelet Bradford , Singer Peter 
Published: November 2021

AbstractIn the first controlled, non-self-report studies to show an influence of university-level ethical instruction on everyday behavior, Schwitzgebel et al. (2020) and Jalil et al. (2020) found that students purchase less meat after exposure to material on the ethics of eating meat. We sought to extend and conceptually replicate this research. Seven hundred thirty students in three large philosophy classes read James Rachels’ (2004) “Basic Argument for Vegetarianism”, followed by 50-min small-group discussions. Half also viewed a vegetarianism advocacy video containing factory farm footage. A few days after instruction, 54% of students agreed that “eating the meat of factory farmed animals is unethical”, compared to 37% before instruction, with no difference between the film and non-film conditions. Also, 39% of students anonymously pledged to avoid eating factory farmed meat for 24 h, again with no statistically detectable difference between conditions. Finally, we obtained 2828 campus food purchase receipts for 113 of the enrolled students who used their Student ID cards for purchases on campus, which we compared with 5033 purchases from a group of 226 students who did not receive the instruction. Meat purchases remained constant in the comparison group and declined among the students exposed to the material, falling from 30% to 23% of purchases overall and from 51% to 42% of purchases of $4.99 or more, with the effect possibly larger in the film condition.