bluuebunny/crossref_metadata_2025_split huggingface dataset:
On metaphors in thinking about preparing mathematics for teaching
Authors: Scheiner Thorsten , Godino Juan D. , Montes Miguel A. , Pino-Fan Luis R. , Climent Nuria 
Published: May 2022

Abstract This paper explores how different schools of thought in mathematics education think and speak about preparing mathematics for teaching by introducing and proposing certain metaphors. Among the metaphors under consideration here are the unpacking metaphor, which finds its origin in the Anglo-American school of thought of pedagogical reduction of mathematics; the elementarization metaphor, which has its origin in the German school of thought of didactic reconstruction of mathematics; and the recontextualization metaphor, which originates in the French school of thought of didactic transposition. The metaphorical language used in these schools of thought is based on different theoretical positions, orientations, and images of preparing mathematics for teaching. Although these metaphors are powerful and allow for different ways of thinking and speaking about preparing mathematics for teaching, they suggest that preparing mathematics for teaching is largely a one-sided process in the sense of an adaptation of the knowledge in question. To promote a more holistic understanding, an alternative metaphor is offered: preparing mathematics for teaching as ecological engineering. By using the ecological engineering metaphor, the preparation of mathematics for teaching is presented as a two-sided process that involves both the adaptation of knowledge and the modification of its environment.
Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments
Authors: Penzenstadler Birgit , Torkar Richard , Martinez Montes Cristina 
Published: May 2022

AbstractContextComputer workers in general, and software developers specifically, are under a high amount of stress due to continuous deadlines and, often, over-commitment.ObjectiveThis study investigates the effects of a neuroplasticity practice, a specific breathing practice, on the attention awareness, well-being, perceived productivity, and self-efficacy of computer workers.MethodThe intervention was a 12-week program with a weekly live session that included a talk on a well-being topic and a facilitated group breathing session. During the intervention period, we solicited one daily journal note and one weekly well-being rating. We created a questionnaire mainly from existing, validated scales as entry and exit survey for data points for comparison before and after the intervention. We replicated the intervention in a similarly structured 8-week program. The data was analyzed using Bayesian multi-level models for the quantitative part and thematic analysis for the qualitative part.ResultsThe intervention showed improvements in participants’ experienced inner states despite an ongoing pandemic and intense outer circumstances for most. Over the course of the study, we found an improvement in the participants’ ratings of how often they found themselves in good spirits as well as in a calm and relaxed state. We also aggregate a large number of deep inner reflections and growth processes that may not have surfaced for the participants without deliberate engagement in such a program.ConclusionThe data indicates usefulness and effectiveness of an intervention for computer workers in terms of increasing well-being and resilience. Everyone needs a way to deliberately relax, unplug, and recover. A breathing practice is a simple way to do so, and the results call for establishing a larger body of work to make this common practice.
Eulerian Routing in Practice
Authors: Rizza Davide 
Published: May 2022

AbstractThe Königsberg bridge problem has played a central role in recent philosophical discussions of mathematical explanation. In this paper I look at it from a novel perspective, which is independent of explanatory concerns. Instead of restricting attention to the solved Königsberg bridge problem, I consider Euler’s construction of a solution method for the problem and discuss two later integrations of Euler’s approach into a more structured methodology, arisen in operations research and genetics respectively. By examining Euler’s work and its later developments, I achieve two main goals. First, I offer an analysis of the role played by mathematics as a problem-solving instrument within scientific enquiry. Second, I shed light on the broader significance of well known contributions to the debate on mathematical explanation. I suggest that these contributions, which are tied to a localised explanatory context, achieve a greater relevance and attain a sharper formulation when they are referred to scientific enquiry at large, as opposed to its possible explanatory outcomes alone.
Turning the tide on sex and the microbiota in aquatic animals
Authors: Bates Kieran A. , Higgins Chelsea , Neiman Maurine , King Kayla C. 
Published: May 2022

AbstractSex-based differences in animal microbiota are increasingly recognized as of biological importance. While most animal biomass is found in aquatic ecosystems and many water-dwelling species are of high economic and ecological value, biological sex is rarely included as an explanatory variable in studies of the aquatic animal microbiota. In this opinion piece, we argue for greater consideration of host sex in studying the microbiota of aquatic animals, emphasizing the many advancements that this information could provide in the life sciences, from the evolution of sex to aquaculture.
Feeling It/Not Feeling It: Mood Stories as Accounts of Political Intuition
Authors: Coleman Stephen 
Published: May 2022

Abstract
What does it mean to speak of a society being nervous, a demos angry, a polity depressed or a population exhausted? Are these merely frothy terms of journalistic description or can such moods be captured in meaningful ways? This article responds to two tendencies: the dismissal of mood as affective blur and claims to represent mood through scales of empirical measurement. The argument presented here is that mood is a definable phenomenon, relating to perceptual confusion between objectivity and subjectivity; diffuse affective sources and cumulative sensations rather than temporally containable events. To speak of the mood of a social situation is to acknowledge this ambiguous juncture between subjective determination and objective constraint. More like background feelings that persists over time, moods frame not only immediate situational experience but scope for future thought and action. In this sense, moods frame political agency. This framing is primarily intuitive rather than conventionally cognitive.This article explores one method for capturing the ways in which mood shapes agency. In interview-based mood stories, interviewees are invited to focus upon how the mood affect them as political actors. Mood stories are neither traditional representational narratives nor simple impressionistic portraits of feelings, but accounts of how people find meaningful ways of constituting their own experience. Mood stories aim to get at the intuitive work involved in forming political experience. The empirical context for the mood stories examined here are 42 in-depth, semi-structured interviews with British citizens aged between 18 and 80 with a view to understanding how Brexit made them feel.
Self-Esteem, Socially Prescribed Perfectionism, and Parental Burnout
Authors: Raudasoja Mirjam , Sorkkila Matilda , Aunola Kaisa 
Published: May 2022

AbstractSocially prescribed perfectionism (SPP) has been shown to be a risk factor for parental burnout (Sorkkila & Aunola, 2020). In the present study, we investigated the moderating role of self-esteem in this association. A total of 479 Finnish mothers of infants filled in questionnaires measuring their self-esteem, SPP, and symptoms of parental burnout. The results of structural equation modelling (SEM) showed that mothers’ self-esteem moderated the effect of SPP on parental burnout: Mothers with high self-esteem were at lower risk of showing burnout symptoms even when SPP co-occurred, whereas for mothers with low self-esteem, the effect of SPP on burnout symptoms was further strengthened. The results can be applied when aiming to improve maternal well-being by recognizing the risk factors of parental burnout and by offering counseling for parents at high risk.
Global Attractivity for Nonautonomous Delay-Differential Equations with Mixed Monotonicity and Two Delays
Authors: El-Morshedy Hassan , Ruiz-Herrera Alfonso 
Published: May 2022

AbstractIn this paper we study the scalar delay differential equation $$\begin{aligned} x'(t)=\alpha (t) x(t-g_{1}(t)) f(a(t),x(t-g_{2}(t)))-\beta (t) x(t) \end{aligned}$$

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where f is decreasing in both arguments and the coefficients are positive and bounded. Sufficient conditions for the permanence and global attractivity for a fixed positive solution are derived. We apply our results to nonautonomous variants of Nicholson’s blowfly equation and the Beverton–Holt model.
Spectral Analysis and Stability of the Moore-Gibson-Thompson-Fourier Model
Authors: Conti Monica , Dell’Oro Filippo , Liverani Lorenzo , Pata Vittorino 
Published: May 2022

AbstractWe consider the linear evolution system $$\begin{aligned} {\left\{ \begin{array}{ll} u_{ttt}+\alpha u_{tt} + \beta \Delta ^2 u_t + \gamma \Delta ^2 u =- \eta \Delta \theta \\ \theta _t - \kappa \Delta \theta = \eta \Delta u_{tt} + \alpha \eta \Delta u_t \end{array}\right. } \end{aligned}$$

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describing the dynamics of a thermoviscoelastic plate of MGT type with Fourier heat conduction. The focus is the analysis of the energy transfer between the two equations, particularly when the first one stands in the supercritical regime, and exhibits an antidissipative character. The principal actor becomes then the coupling constant $$\eta $$
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is always able to stabilize the system exponentially fast. One of the features of this model is the presence of the bilaplacian in the first equation. With respect to the analogous model with the Laplacian, this introduces some differences in the mathematical approach. From the one side, the energy estimate method does not seem to apply in a direct way, from the other side, there is a gain of regularity allowing to rely on analytic semigroup techniques.
Simulated Annealing for Convex Optimization: Rigorous Complexity Analysis and Practical Perspectives
Authors: Badenbroek Riley , de Klerk Etienne 
Published: May 2022

AbstractWe give a rigorous complexity analysis of the simulated annealing algorithm by Kalai and Vempala (Math Oper Res 31(2):253–266, 2006) using the type of temperature update suggested by Abernethy and Hazan (International Conference on Machine Learning, 2016). The algorithm only assumes a membership oracle of the feasible set, and we prove that it returns a solution in polynomial time which is near-optimal with high probability. Moreover, we propose a number of modifications to improve the practical performance of this method, and present some numerical results for test problems from copositive programming.
NIR spectroscopy for reaction monitoring and reaction mixture identification of cycloaliphatic epoxides
Authors: Betz Kai C. , Heinz Roman , Tesch Matthias , Pauer Werner 
Published: May 2022

AbstractThe industrially relevant cycloaliphatic epoxides do not have a directly distinguishable band in the NIR spectrum and their polymerisation conversion has so far typically been estimated via the simultaneous polymerisation of vinyl ethers. Here, an analytical procedure is presented for the quantitative inline analysis of 4-epoxycyclohexyl methyl-3,4-epoxycyclohexane carboxylate without the need to mix cycloaliphatic epoxides with vinyl ethers. By employing multivariate data analysis on the reaction spectra, the conversion could be analysed spectroscopically. This resulted in a mean uncertainty of 3.38% conversion in the range between 0 and 40% conversion. In addition, a deviation from the initial monomer concentration of 5 w% over a temperature range of 100 °C can be detected and identified via principal component analysis.
Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm
Authors: Talaat Fatma M. 
Published: May 2022

AbstractThe healthcare industry has always been an early adopter of new technology and a big benefactor of it. The use of reinforcement learning in the healthcare system has repeatedly resulted in improved outcomes.. Many challenges exist concerning the architecture of the RL method, measurement metrics, and model choice. More significantly, the validation of RL in authentic clinical settings needs further work. This paper presents a new Effective Resource Allocation Strategy (ERAS) for the Fog environment, which is suitable for Healthcare applications. ERAS tries to achieve effective resource management in the Fog environment via real-time resource allocating as well as prediction algorithms. Comparing the ERAS with the state-of-the-art algorithms, ERAS achieved the minimum Makespan as compared to previous resource allocation algorithms, while maximizing the Average Resource Utilization (ARU) and the Load Balancing Level (LBL). For each application, we further compared and contrasted the architecture of the RL models and the assessment metrics. In critical care, RL has tremendous potential to enhance decision-making. This paper presents two main contributions, (i) Optimization of the RL hyperparameters using PSO, and (ii) Using the optimized RL for the resource allocation and load balancing in the fog environment. Because of its exploitation, exploration, and capacity to get rid of local minima, the PSO has a significant significance when compared to other optimization methodologies.
Irish Property Price Estimation Using A Flexible Geo-spatial Smoothing Approach: What is the Impact of an Address?
Authors: Hurley Aoife K. , Sweeney James 
Published: May 2022

AbstractAccurate and efficient valuation of property is of utmost importance in a variety of settings, such as when securing mortgage finance to purchase a property, or where residential property taxes are set as a percentage of a property’s resale value. Internationally, resale based property taxes are most common due to ease of implementation and the difficulty of establishing site values. In an Irish context, property valuations are currently based on comparison to recently sold neighbouring properties, however, this approach is limited by low property turnover. National property taxes based on property value, as opposed to site value, also act as a disincentive to improvement works due to the ensuing increased tax burden. In this article we develop a spatial hedonic regression model to separate the spatial and non-spatial contributions of property features to resale value. We mitigate the issue of low property turnover through geographic correlation, borrowing information across multiple property types and finishes. We investigate the impact of address mislabelling on predictive performance, where vendors erroneously supply a more affluent postcode, and evaluate the contribution of improvement works to increased values. Our flexible geo-spatial model outperforms all competitors across a number of different evaluation metrics, including the accuracy of both price prediction and associated uncertainty intervals. While our models are applied in an Irish context, the ability to accurately value properties in markets with low property turnover and to quantify the value contributions of specific property features has widespread application. The ability to separate spatial and non-spatial contributions to a property’s value also provides an avenue to site-value based property taxes.
Early Careers of Graduates from Private and Public Universities in Germany: A Comparison of Income Differences Regarding the First Employment
Authors: Herrmann Sonja , Nagel Christian 
Published: May 2022

AbstractResearch estimating the outcomes of higher education in Germany has widely ignored the private educational sector. This study focuses on labour market returns in terms of the income of graduates from private higher education institutions in Germany. Using data from the National Education Panel Study (NEPS) the results of the Bayesian regression analysis indicate a moderate wage premium for private students compared to students who are enrolled in public higher education institutions regarding the first employment. Despite the predominant role of public universities in Germany, graduates of private higher education institutions receive similar advantages on the labour market as their counterparts in other countries, although private education in other countries is more prestigious.
Natural cases of polyarthritis associated with feline calicivirus infection in cats
Authors: Balboni Andrea , Verin Ranieri , Buldrini Isotta , Zamagni Silvia , Morini Maria , Terrusi Alessia , Gallina Laura , Urbani Lorenza , Dondi Francesco , Battilani Mara 
Published: May 2022

AbstractThe limping syndrome is occasionally reported during acute feline calicivirus (FCV) infections or as consequence of vaccination. In this retrospective study, three clinical cases of lameness in household cats naturally infected by FCV were described and phylogeny of the virus were investigated by analysing the hypervariable E region of the ORF2 viral gene. Cats were diagnosed with polyarthritis and FCV RNA or antigens were detected in symptomatic joints. One cat, euthanized for ethical reasons, underwent a complete post-mortem examination and was subjected to histopathological and immunohistochemical investigations. No phylogenetic subgrouping were evident for the sequenced FCV. Histopathology of the euthanized cat revealed diffuse fibrinous synovitis and osteoarthritis eight months after the onset of lameness and the first detection of FCV RNA, supporting the hypothesis of a persistent infection. FCV was demonstrated by immunohistochemistry in synoviocytes and fibroblasts of the synovial membranes. This study provides new data on the occurrence of polyarthritis in FCV-infected cats, demonstrates by immunohistochemistry the presence of FCV in the synovial membranes of a cat with persistent polyarthritis and supports the absence of correlation between limping syndrome and phylogenetic subgrouping of viruses.
State Variable Implications on Hydraulic State Estimation
Authors: Ruiz Emilio , Díaz Sarai , González Javier 
Published: May 2022

AbstractHydraulic State Estimation allows to estimate the most likely state of a water supply network considering multiple sources of information and their associated uncertainty. It is set out as an optimization problem, often addressed according to the Weighted Least Squares criterion. It can be formulated differently depending on the selected set of state variables. This choice is not straightforward and leads to different problem dimensions, time complexities and convergence behavior. All possible essential approaches are gathered in this work and two are identified as the most suitable according to the resulting problem dimensions: a head-based approach and a demand-based approach. The particularities and the formulation according to both sets of state variables are discussed, seeking for efficient implementation. Their time complexity and convergence behavior are compared to draw conclusions that help to identify the most suitable approach for real practice applications.
Peculiarities in the panoramic radiograph of patients with secondary hyperparathyroidism due to terminal renal disease: a radiologic controlled comparative study
Authors: Moest Tobias , Jahn Arne Eric , Heller Katharina , Schiffer Mario , Adler Werner , Rohde Maximilian , Weber Manuel , Kesting Marco Rainer , Lutz Rainer 
Published: May 2022

Abstract
Objectives
The present radiological observational controlled study aims to evaluate the impact of secondary hyperparathyroidism (SHPT) due to chronic kidney disease (CKD) as well as the duration of dialysis on the mineralization of the mandible by standardized qualitative evaluation of digital panoramic radiographs.

Methods
Panoramic radiographs of CKD patients with SHPT and healthy controls were used for the qualitative analysis of the mandibular cortical index (MCI), the trabecular bone pattern (TBP), and calcification and resorption foci. Radiomorphometric indices were correlated to biochemical parameters and the duration of dialysis using the Spearman Rho test. Group comparisons were conducted using the Mann–Whitney U test and Fisher’s exact test at a significance level of α ≤ 0.05. Interrater reliability of two physicians was estimated using Cohen’s kappa.

Results
Inclusion and exclusion criteria were fulfilled by N = 41 patients. Statistically significant differences in the MCI (p < 0.001) as well as the TBP (p = 0.002) could be detected for the experimental group in comparison to the healthy control group. Focusing on calcification and resorption foci, no statistically significant difference could be detected between the groups (p = 0.244). The level of the detected parathyroid hormone (PTH) significantly correlated with TBP (Rho = 0.338; p = 0.031), while no significant relationship between TBP and the duration of the dialysis could be found.

Conclusions
Patients with SHPT due to CKD show statistically significant bone changes in the panoramic radiograph, whereby the grade of trabecular bone change correlates to PTH values.
Verletzte Ansprüche. Zur Grammatik des politischen Bewusstseins von ArbeiterInnen
Authors: Beck Linda , Westheuser Linus 
Published: May 2022

ZusammenfassungDer Beitrag nimmt eine Kartierung der alltäglichen Gesellschaftskritik vor, die deutsche ProduktionsarbeiterInnen in informellen Interviewsettings äußern. Er rekonstruiert sieben typische Repertoires der Arbeiterkritik entlang der Gerechtigkeitsdimensionen ökonomischer Umverteilung, symbolischer Anerkennung und politischer Repräsentation. Die Alltagskritik der ArbeiterInnen veranschaulicht zentrale Charakteristika jenes politischen Bewusstseins, das dominierte Gruppen unter den Bedingungen einer demobilisierten Klassengesellschaft entwickeln. Damit ist ein Zustand gemeint, in dem Klassenverhältnisse zwar für objektive Lagen und Alltagserleben prägend bleiben, kulturelle Ausdrucksformen kollektiver Klassenidentität und politische Repräsentationskanäle aber brüchig geworden sind oder gänzlich fehlen. Wie der Artikel in Anknüpfung an Überlegungen Axel Honneths empirisch zeigt, liegt der Kern der Arbeiterkritik unter diesen Umständen in einem Unrechtsbewusstsein, das negativ durch den Bezug auf Übertretungen impliziter Erwartungen und Moralökonomien bestimmt ist. Dieser Zugang ermöglicht ein umfangreicheres und nuancierteres Verständnis der politischen Orientierungen von ArbeiterInnen, als es öffentliche Diskurse um einen vermeintlichen politischen Rechtsdrift der Arbeiterschaft nahelegen.