bluuebunny/crossref_metadata_2025_split huggingface dataset:
Political Conocimiento in Teaching Mathematics: mathematics teacher candidates enacting their ethical identities
Authors: Gutiérrez Rochelle , Kokka Kari , Myers Marrielle 
Published: June 2024

AbstractThe sanctioned language around “mathematics teacher knowledge” in the US centers pedagogy, content (mathematical knowledge), and students. Yet, this teacher learning approach often promotes (explicitly or implicitly) teaching and learning of mathematics that operationalizes mathematics as rigid, as a gatekeeper, and only useful for global competition in STEM-related fields. These tacit capitalist goals result in teachers being expected to convey “clear and useful” mathematical information to students, not question why mathematics is being taught, who benefits, and/or how to intervene if the learning environment is harmful for students who are Black, Indigenous, students of Color, multilingual, dis/abled, queer, nonbinary, and/or of immigrant backgrounds. In this article, we build upon a form of relational knowing that intertwines mathematics, pedagogies, students, and politics called Political Conocimiento in Teaching Mathematics. Focusing on political knowledge brings the margins to the center by recognizing political issues cannot be separated from other dimensions or added on, as if politics are not already present in mathematics teaching and learning. As three women of Color, we present empirical results from three teacher education programs in the USA with teacher candidates (n = 55) who range in intersectional identities. Using scenario-based activities that support their development of political knowledge, we apply the lens of “The Mirror Test” to highlight how teacher candidates’ intersectional identities influenced the ethical identities they enacted. Some candidates focused more on “accountability” while others focused on “performativity.” We offer implications for future research on ethical identities in mathematics education with teachers and teacher candidates of various intersectional identities.
Assessing Nonoverlap in Single-Case Data: Strengths, Challenges, and Recommendations
Authors: Manolov Rumen , Tanious René 
Published: June 2024

AbstractOverlap is one of the data aspects that are expected to be assessed when visually inspecting single-case experimental designs (SCED) data. A frequently used quantification of overlap is the Nonoverlap of All Pairs (NAP). The current article reviews the main strengths and challenges when using this index, as compared to other nonoverlap indices such as Tau and the Percentage of data points exceeding the median. Four challenges are reviewed: the difficulty in representing NAP graphically, the presence of a ceiling effect, the disregard of trend, and the limitations in using p-values associated with NAP. Given the importance of complementing quantitative analysis and visual inspection of graphed data, straightforward quantifications and new graphical elements for the time-series plot are proposed as options for addressing the first three challenges. The suggestions for graphical representations (representing within-phase monotonic trend and across-phases overlaps) and additional numerical summaries (quantifying the degree of separation in case of complete nonoverlap or the proportion of data points in the overlap zone) are illustrated with two multiple-baseline data sets. To make it easier to obtain the plots and quantifications, the recommendations are implemented in a freely available user-friendly website. Educational researchers can use this article to inform their use and application of NAP to meaningfully interpret this quantification in the context of SCEDs.
On Approximate Matrix Factorization and TASE W-Methods for the Time Integration of Parabolic Partial Differential Equations
Authors: Conte Dajana , González-Pinto Severiano , Hernández-Abreu Domingo , Pagano Giovanni 
Published: June 2024

AbstractLinearly implicit methods for Ordinary Differential Equations combined with the application of Approximate Matrix Factorization (AMF) provide efficient numerical methods for the solution of large semi-discrete parabolic Partial Differential Equations in several spatial dimensions. Interesting particular subclasses of such linearly implicit methods are the so-called W-methods and the TASE W-methods recently introduced in González-Pinto et al. (Appl Numer Math, 188:129–145, 2023) with the aim of reducing the computational cost of the TASE Runge–Kutta methods in Bassenne et al. (J Comput Phys 424:109847, 2021) and Calvo et al. (J Comp Phys 436:110316, 2021). In this paper, we study the application of the AMF approach in combination with TASE W-methods. While for AMF W-methods the temporal order of consistency is immediately obtained from that of the underlying W-method, this property needs a more thorough analysis for the newly introduced AMF-TASE W-methods. For these latter methods it is described which are the additional order conditions to be fulfilled and it is shown that the parallel structure of the methods is crucial to retain the order of consistency of the underlying TASE W-method. Numerical experiments are presented in three spatial dimensions to assess the consistency result and to show that the proposed schemes are competitive with other well-known good performing AMF W-methods.
Characterization of meteoric 10Be in certified reference materials for use in internal control standards
Authors: Méndez-García C. G. , Rojas-López G. , Solís C. , Padilla S. , Chávez E. , Huerta A. 
Published: June 2024

AbstractIn recent decades, interest in the measurement of 10Be has increased due to its relevance in various fields of science. Trace amounts of 10Be produced from meteoric sources require sensitive accelerator mass spectrometry (AMS) measurements and robust sample preparation. The extraction, separation, and preparation of the appropriate oxide form for AMS require extensive and careful laboratory processing and certified reference materials to validate the chemical performance of the protocols used and the calibration of the AMS system in the measurement. In this work, the meteoric 10Be concentrations in two certified reference materials are characterized to establish their suitability as internal control standards for laboratory chemical preparation and AMS measurements of this radioisotope in our laboratory and the whole AMS community.
Well-conditioned AI-assisted sub-matrix selection for numerically stable constrained form-finding of reticulated shells using geometric deep Q-learning
Authors: Tam K.-M. M. , Maia Avelino R. , Kudenko D. , Van Mele T. , Block P. 
Published: June 2024

AbstractThe selection of well-conditioned sub-matrices is a critical concern in problems across multiple disciplines, particularly those demanding robust numerical stability. This research introduces an innovative, AI-assisted approach to sub-matrix selection, aimed at enhancing the form-finding of reticulated shell structures under the xy-constrained Force Density Method (also known as Thrust Network Analysis), using independent edge sets. The goal is to select a well-conditioned sub-matrix within a larger matrix with an inherent graph interpretation where each column represents an edge in the corresponding graph. The selection of ill-conditioned edges poses a significant challenge because it can render large segments of the parameter space numerically unstable, leading to numerical sensitivities that may impede design exploration and optimisation. By improving the selection of edges, the research assists in computing a pseudo-inverse for a critical sub-problem in structural form-finding, thereby enhancing numerical stability. Central to the selection strategy is a novel combination of deep reinforcement learning based on Deep Q-Networks and geometric deep learning based on CW Network. The proposed framework, which generalises across a trans-topological design space encompassing patterns of varying sizes and connectivity, offers a robust strategy that effectively identifies better-conditioned independent edges leading to improved optimisation routines with the potential to be extended for sub-matrix selection problems with graph interpretations in other domains.
“The Human Must Remain the Central Focus”: Subjective Fairness Perceptions in Automated Decision-Making
Authors: Szafran Daria , Bach Ruben L. 
Published: June 2024

AbstractThe increasing use of algorithms in allocating resources and services in both private industry and public administration has sparked discussions about their consequences for inequality and fairness in contemporary societies. Previous research has shown that the use of automated decision-making (ADM) tools in high-stakes scenarios like the legal justice system might lead to adverse societal outcomes, such as systematic discrimination. Scholars have since proposed a variety of metrics to counteract and mitigate biases in ADM processes. While these metrics focus on technical fairness notions, they do not consider how members of the public, as most affected subjects by algorithmic decisions, perceive fairness in ADM. To shed light on subjective fairness perceptions of individuals, this study analyzes individuals’ answers to open-ended fairness questions about hypothetical ADM scenarios that were embedded in the German Internet Panel (Wave 54, July 2021), a probability-based longitudinal online survey. Respondents evaluated the fairness of vignettes describing the use of ADM tools across different contexts. Subsequently, they explained their fairness evaluation providing a textual answer. Using qualitative content analysis, we inductively coded those answers (N = 3697). Based on their individual understanding of fairness, respondents addressed a wide range of aspects related to fairness in ADM which is reflected in the 23 codes we identified. We subsumed those codes under four overarching themes: Human elements in decision-making, Shortcomings of the data, Social impact of AI, and Properties of AI. Our codes and themes provide a valuable resource for understanding which factors influence public fairness perceptions about ADM.
Physiological responses of the nickel hyperaccumulator Bornmuellera emarginata under varying nickel dose levels and pH in hydroponics
Authors: Ly Serigne N. , Echevarria Guillaume , Aarts Mark G. M. , Ouvrard Stéphanie , van der Ent Antony 
Published: June 2024

Abstract
Background and aims
The nickel hyperaccumulator Bornmuellera emarginata (Brassicaceae) is a species adapted to thrive on naturally nickel-enriched ultramafic soils in the Balkans and a promising candidate for use in nickel agromining. The main aim of this study was to provide insight into the physiological mechanisms of nickel hyperaccumulation in B. emarginata.

Methods
Bornmuellera emarginata was cultivated under various nickel exposure concentrations (control, 1, 10, and 100 µM nickel in solution), and different pH levels of the hydroponic solution for four weeks. During this period, the plants underwent assessment for various physiological parameters, including photosynthetic pigments, leaf relative water content, tolerance index, and metal accumulation in plant tissues.

Results
The results show that the translocation factors and bioconcentration factors were > 1 even at 1 µM nickel in solution. This confirms the ability of B. emarginata to hyperaccumulate nickel (up to 6600 mg kg−1) over a wide range of nickel concentrations in hydroponics. Nickel at 100 µM (a concentration that is an order of magnitude higher than the highest soil solution nickel concentration found in ultramafic soils) induced only mild physiological stress symptoms (e.g. a minor proline response). Alterations in the solution pH did not cause any significant effect on nickel accumulation in the plants.

Conclusions
Bornmuellera emarginata is a highly adapted nickel-tolerant and nickel hyperaccumulating species that shows very little stress responses even to extreme nickel exposure concentrations in hydroponics. This species shows interesting trade-off responses between nickel and other metals, including non-competitive uptake of zinc. The potential for this species to accumulate zinc should therefore be further explored.
The impact of the COVID-19 pandemic on the academic achievement of elementary and junior high school students: analysis using administrative data from Amagasaki City
Authors: Asakawa Shinsuke , Ohtake Fumio , Sano Shinpei 
Published: June 2024

Abstract
The coronavirus disease 2019 (COVID-19) pandemic has had a global impact on children’s education. In Amagasaki City, Japan, elementary and junior high schools were temporarily closed for approximately three months during the pandemic. This study examines the effects of the COVID-19 pandemic on academic performance in mathematics and the Japanese language among public elementary and junior high school students in Grades 1 to 8. Using data from the Amagasaki City Survey of Academic Achievement and Life Conditions from 2018 to 2021, this study compares changes in the academic performance of cohorts with and without COVID-19 experience (the COVID-19 and non-COVID-19 cohorts, respectively) 7 and 19 months after school closures using the difference-in-differences method. The findings indicate that the negative impact of the pandemic on academic performance was more pronounced for math than for the Japanese language, both at 7 months and 19 months after the closures. Math scores showed considerable decreases of 0.133 standard deviations (SDs) and 0.249 SDs at 7 and 19 months after the closures, respectively, while Japanese language scores were not significantly affected 7 months after closures but decreased by 0.113 SDs at 19 months after the closures. Furthermore, the negative effects on Japanese language scores were more significant for individuals in younger grades, whereas math scores were consistently affected across all grades. These results have important implications for policymakers and educators struggling to overcome the learning losses among children caused by the pandemic.
Exploring the Composition of Europa with the Upcoming Europa Clipper Mission
Authors: Becker T. M. , Zolotov M. Y. , Gudipati M. S. , Soderblom J. M. , McGrath M. A. , Henderson B. L. , Hedman M. M. , Choukroun M. , Clark R. N. , Chivers C. , Wolfenbarger N. S. , Glein C. R. , Castillo-Rogez J. C. , Mousis O. , Scanlan K. M. , Diniega S. , Seelos F. P. , Goode W. , Postberg F. , Grima C. , Hsu H.-W. , Roth L. , Trumbo S. K. , Miller K. E. , Chan K. , Paranicas C. , Brooks S. M. , Soderlund K. M. , McKinnon W. B. , Hibbitts C. A. , Smith H. T. , Molyneux P. M. , Gladstone G. R. , Cable M. L. , Ulibarri Z. E. , Teolis B. D. , Horanyi M. , Jia X. , Leonard E. J. , Hand K. P. , Vance S. D. , Howell S. M. , Quick L. C. , Mishra I. , Rymer A. M. , Briois C. , Blaney D. L. , Raut U. , Waite J. H. , Retherford K. D. , Shock E. , Withers P. , Westlake J. H. , Jun I. , Mandt K. E. , Buratti B. J. , Korth H. , Pappalardo R. T. ,   the Europa Clipper Composition Working Group
Published: June 2024

AbstractJupiter’s icy moon, Europa, harbors a subsurface liquid water ocean; the prospect of this ocean being habitable motivates further exploration of the moon with the upcoming NASA Europa Clipper mission. Key among the mission goals is a comprehensive assessment of the moon’s composition, which is essential for assessing Europa’s habitability. Through powerful remote sensing andin situinvestigations, the Europa Clipper mission will explore the composition of Europa’s surface and subsurface, its tenuous atmosphere, and the local space environment surrounding the moon. Clues on the interior composition of Europa will be gathered through these assessments, especially in regions that may expose subsurface materials, including compelling geologic landforms or locations indicative of recent or current activity such as potential plumes. The planned reconnaissance of the icy world will constrain models that simulate the ongoing external and internal processes that act to alter its composition. This paper presents the composition-themed goals for the Europa Clipper mission, the synergistic, composition-focused investigations that will be conducted, and how the anticipated scientific return will advance our understanding of the origin, evolution, and current state of Europa.
Advantages and drawbacks of life cycle assessment application to the pharmaceuticals: a short critical literature review
Authors: Satta Marco , Passarini Fabrizio , Cespi Daniele , Ciacci Luca 
Published: June 2024

AbstractPharmaceuticals are among the most challenging products to assess by life cycle assessment (LCA). The main drawback highlighted by LCA practitioners is the lack of inventory data, both regarding the synthesis of active pharmaceutical ingredient (API) precursors (upstream) and the details concerning the downstream phases (use and end of life). A short critical review of pharma-LCAs found in the literature is here proposed, with discussion of several tools and models used to predict the environmental impacts derived from the life cycle of pharmaceuticals, emphasizing current strengths and weaknesses, and exploring the possibilities for improvements. The case of antibiotics is selected as a representative class of pharmaceuticals, due to their massive use worldwide and the growing related issue of antimicrobial resistance enrichment, which is generally not included in most of LCAs. Also, we comment on drafting product category rules (PCRs) in the relevant field to develop standard methodologies and enhance the comparability of the studies, ultimately advocating collaboration with companies and improving inventory data quality and availability for the whole value chain of products.
Urgent needs for second life using and recycling design of wasted electric vehicles (EVs) lithium-ion battery: a scientometric analysis
Authors: Zahoor Aqib , Kun Róbert , Mao Guozhu , Farkas Ferenc , Sápi András , Kónya Zoltán 
Published: June 2024

AbstractCurrently, lithium-ion batteries are increasingly widely used and generate waste due to the rapid development of the EV industry. Meanwhile, how to reuse “second life” and recycle “extracting of valuable metals” of these wasted EVBs has been a hot research topic. The 4810 relevant articles from SCI and SSCI Scopus databases were obtained. Scientometric analysis about second life using and recycling methodologies of wasted EVBs was conducted by VOSviewer, Pajek, and Netdraw. According to analytical results, the research of second life using and recycling mythologies has been growing and the expected achievement will continue to increase. China, Germany, the USA, Italy, and the UK are the most active countries in this field. Tsinghua University in China, “Fraunhofer ISI, Karlsruhe” in Germany, and “Polytechnic di Torino” in Italy are the most productive single and collaborative institutions. The journals SAE technical papers and World Electric Vehicle Journal have the highest publication and citations than other journals. Chinese author “Li Y” has the highest number of 36 publications, and his papers were cited 589 times by other authors. By analyzing the co-occurrence and keywords, energy analysis, second life (stationary using, small industry), and treatment methods, (hydrometallurgy and pyrometallurgical, electrochemical, bio-metallurgical) were the hot research topics. The S-curve from the article indicates hydrometallurgical and bio-metallurgical methods are attached with great potential in the near future. Further, different treatment methodologies are observed especially advanced techniques in hydrometallurgical, and spent medium bioleaching techniques in bio-metallurgical are good, economically cheap, has low CO2 emission, environmentally friendly, and has high recovery rate. Finally, this research provides information on second life use and top recycling methodology opportunities for future research direction for researchers and decision-makers who are interested in this research.
Adoption of robot-assisted radical nephroureterectomy permits a minimally invasive option for management of upper tract urothelial carcinoma in geriatric patients: comparison with non-geriatric patients with intermediate-term oncologic follow-up
Authors: Refugia Justin M. , Thakker Parth U. , O’Rourke Timothy K. , Cohen Adam , Bradshaw Aaron , Casals Randy , Sandberg Maxwell , Whitman Wyatt , Saini Sumit , Hemal Ashok K. 
Published: June 2024

AbstractTo assess the oncologic efficacy and safety of robot-assisted approach to radical nephroureterectomy (RARNU) in geriatric versus younger patients with upper tract urothelial carcinoma (UTUC). A single-center, retrospective cohort study was conducted from 2009 to 2022 of 145 patients (two cohorts: < 75 and ≥ 75 years old) with non-metastatic UTUC who underwent RARNU. Primary endpoint was UTUC-related recurrence of disease during surveillance (bladder-specific and metastatic). Safety was assessed according to 30-day, modified Clavien–Dindo (CD) classifications (Major: C.D. III–V). Survival estimates were performed using Kaplan–Meier method. There were 89 patients < 75 years (median 65 years) and 56 patients ≥ 75 years (median 81 years). Comparing the young versus geriatric cohorts: median follow-up 38 vs 24 months (p = 0.03, respectively) with similar 3-year bladder-specific recurrence survival (60% vs 67%, HR 0.70, 95% CI [0.35, 1.40], p = 0.31) and metastasis-free survival (79% vs 70%, HR 0.71, 95% CI [0.30, 1.70], p = 0.44). Expectedly, the younger cohort had a significant deviation in overall survival compared to the geriatric cohort at 1-year (89% vs 76%) and 3-years (72% vs 41%; HR 3.29, 95% CI [1.88, 5.78], p < 0.01). The 30-day major (1% vs 0) and minor complications (8% vs 14%, p = 0.87). Limitations include retrospective study design of a high-volume, single-surgeon experience. Compared to younger patients with UTUC, geriatric patients undergoing RARNU have similar oncologic outcomes at intermediate-term follow-up with no increased risk of 30-day perioperative complications. Thus, age alone should not be used to disqualify patients from definitive surgical management of UTUC with RARNU.
The Effect of Loading Inclination and Eccentricity on the Bearing Capacity of Shallow Foundations: A Review
Authors: Pantelidis Lysandros , Meddah Abdelaziz 
Published: June 2024

AbstractThis paper provides a comprehensive review on the effect of load inclination and eccentricity on the bearing capacity of shallow foundations. Regarding load eccentricity, Meyerhof’s intuitive formula $${B}{\prime}=B-2{e}_{b}$$

B
′
=
B
-
2

e
b

aligns well with finite element analyses, though it is slightly conservative. Analysis using finite element results revealed the more accurate formula $$B-1.9{e}_{b}$$

B
-
1.9

e
b

. Concerning load inclination factors, numerous such factors exist in the literature. However, most are either intuitive or derived from small-scale experimental results, rendering them unreliable due to the significant impact of model scale on the bearing capacity of footings. Based on numerical results, it is proposed that all inclination factors (namely $${i}_{c}$$

i
c

, $${i}_{\gamma }$$

i
γ

and $${i}_{q}$$

i
q

) can be reliably expressed by a formula of the form $${\left(1-{f}_{1}\cdot {\tan }\left({f}_{3}\delta \right)\right)}^{{f}_{2}}$$

1
-

f
1

·
tan

f
3

δ

f
2

, where $$\delta$$
δ
is the inclination angle of the loading with respect to the vertical, $${f}_{1}$$

f
1

and $${f}_{3}$$

f
3

are coefficients and $${f}_{2}=3$$

f
2

=
3

. The latter ensures smooth transition from the bearing capacity failure to the sliding failure as $$\delta$$
δ
increases. It is also observed that many $$i-$$

i
-

factors in the literature and various design standards employ an impermissible combination of sliding resistance at the footing-soil interface and Mohr–Coulomb bearing capacity failure under the footing. Moreover, it is shown that only the $${i}_{c}$$

i
c

factor depends on the angle of internal friction of soil. Finally, Vesic’s 1975 “m” interpolation formula largely falls short in accurately representing the effect of the direction of the horizontal loading.