bluuebunny/crossref_metadata_2025_split huggingface dataset:
Joining High Thickness Materials by Sewing – first Modelling Steps of the Stitched Place
Authors: Kyosev Yordan , Kühn Tino 
Published: January 2022

AbstractMany textile products are using materials with higher thickness like foams, spacer fabrics and nonwoven materials in order to provide comfortable softness of the contact surface to the body. Such materials are often joint to another external layer who have to provide optical and mechanical stability of the system, and are joined together into a 3-dimensional geometry. This paper analyses some steps of joining such materials by sewing. The forces in the sewing threads are analyzed analytically. A numerical model based on finite element method (FEM) is implemented in LS-Dyna and the process of compaction of the sewing line, based on the thread force is simulated. The thread force propagation is numerically analyzed in the time, at different friction coefficients and for different foam stiffness. All simulations demonstrate logical results and can be used as a fundament for more complex investigations and optimizations of such products.
How transition students relearn school mathematics to construct multiply quantified statements
Authors: Schüler-Meyer Alexander 
Published: January 2022

AbstractUnderstanding the intricate quantifier relations in the formal definitions of both convergence and continuity is highly relevant for students to use these definitions for mathematical reasoning. However, there has been limited research about how students relearn previous school mathematics for understanding multiply quantified statements. This issue was investigated in a case study in a 5-week teaching unit, located in a year-long transition course, in which students were engaged in defining and proving sequence convergence and local continuity. The paper reports on four substantial changes in the ways students relearn school mathematics for constructing quantified statements: (1) endorse predicate as formal property by replacing metaphors of epsilon strips with narratives about the objects ε, Nε, and ∣an − a∣; (2) acknowledge that statements have truth values; (3) recognize that multiply quantified statements are deductively ordered and that the order of its quantifications is relevant; and (4) assemble multiply quantified statements from partial statements that can be investigated separately. These four changes highlight how school mathematics enables student to semantically and pragmatically parse multiply quantified statements and how syntactic considerations emerge from such semantic and pragmatic foundations. Future research should further investigate how to design learning activities that facilitate students’ syntactical engagement with quantified statements, for instance, in activities of using formal definitions of limits during proving.
The role of climate change perceptions and sociodemographics on reported mitigation efforts and performance among households in northeastern Mexico
Authors: González-Hernández D. Liliana , Aguirre-Gamboa Raúl A. , Meijles Erik W. 
Published: January 2022

AbstractManaging and reducing the impacts of climate change depends on efficient actions from all societal scales. Yet, the household component is often missing from climate research, debate, and policies. This is problematic because households have been found to significantly contribute to of global greenhouse gas emissions and therefore have the potential to be part of a solution to climate change by mitigating climate change. This study seeks to understand which factors drive household-level mitigation actions. We conducted a household survey in Nuevo Leon, located in northeastern Mexico, to explore the extent to which climate change perceptions and the sociodemographic characteristics of households influence their reported mitigation performances and their perceived mitigation efforts. Results from linear regression analyses and generalized linear models revealed that sociodemographic characteristics are key drivers of the households’ perceived mitigation efforts and reported mitigation performances and. We also found that climate change perceptions drive a household’s efforts to mitigate climate change. These results could partly explain why despite the efforts households take to mitigate climate change, achieving an effective reduction of greenhouse gas emissions is challenging without further access to resources such as education and financial support. If governments intend to realize substantial reductions in future emission pathways, then household-level mitigation should be addressed with proper support.
Characterization of black slags obtained during smelting in the electric arc furnace from SIDERPERU following reduction
Authors: Cabrera-Tinoco H. A. , Valencia-Bedregal R. A. , Borja-Castro L. E. , Valerio-Cuadros M. I. , Dominguez A. G. Bustamante , Zhao Xiaoli , Zhang Youyun , Zheng Chengmu , Moreno N. O. , Zhang Deliang , Barnes C. H. W. , Valladares L. De Los Santos 
Published: January 2022

AbstractThe primary process in an electrical arc furnace (EAF) during industrial steelmaking results in tons of black slags which cause pollution to the environment. In this work, the iron oxides of black slags generated in the EAF from the SIDERPERU plant, Peru was reduced via the carbothermal reaction. The reduction of the black slag to α-Fe is demonstrated by X-ray diffraction, Mӧssbauer spectroscopy and magnetometry. However, phases with calcium and silicon persist in the sample after the carbothermal process. The thermodynamic calculations of the most probable reactions sequence were performed to understand the reduction process. The magnetometry measurements confirm the presence of ferromagnetic domains, supporting the success of the reduction of the black slag to α-Fe. The reduced black slags were recycled into a HRB335 steel rod by consolidation and extrusion processes and inspected by X-ray fluorescence.
Hough Transform for Detecting Space Curves in Digital 3D Models
Authors: Romanengo Chiara , Biasotti Silvia , Falcidieno Bianca 
Published: January 2022

AbstractWe present and analyse the Hough transform (HT) to recognise and approximate space curves in digital models, a problem that is not currently addressed by the standard HT. Our method works on meshes and point clouds and applies to models even incomplete or affected by noise, thus being suitable for the analysis of digital models deriving from 3D scans. In our approach we take advantage of a recent HT formulation for algebraic curves to define both parametric and implicit space curve representations. We also provide a comparative analysis of the HT-based method when dealing with both curve representations, discussing the computational performance and the approximation accuracy of both strategies.
A review on the p-type transparent Cu–Cr–O delafossite materials
Authors: Moreira Marco , Afonso Joao , Crepelliere Jonathan , Lenoble Damien , Lunca-Popa Petru 
Published: January 2022

AbstractTransparent conductive oxides (TCOs) constitute a class of materials that combine high electrical conductivity and optical transparency. These features led to the development of the transparent electronics applications, such as flat panel displays, “smart” windows or functional glasses. N-type TCOs dominate the applications market, and the lack of a suitable p-type counterpart limits the fabrication of a completely transparent active device, which might be considered as a technological breakthrough. Among the wide range of p-type candidates, delafossite CuCrO2 (and its out-of-stoichiometry derivatives) is a promising material to achieve the desired p-type TCO properties as, up to date, it is presenting the foremost trade-off between optical and electrical properties. The present paper covers the research work and the major achievements related to copper chromium delafossite. A comprehensive overview of fabrication methods and opto-electronic properties is presented. The source of doping and the charge carriers transport mechanism are also thoroughly discussed.

Graphical abstract
Metal Ions Bound to Prion Protein Affect its Interaction with Plasminogen Activation System
Authors: Borumand Maryam , Ellis Vincent 
Published: January 2022

Abstract
Prion diseases are a group of neurodegenerative diseases, which can progress rapidly. Previous data have demonstrated that prion protein (PrP) stimulates activation of plasminogen (Plg) by tissue plasminogen activator (tPA). In this study, using spectroscopic method, we aimed to determine whether PrP’s role in activating Plg is influenced by metal binding. We also investigated the region in PrP involved in binding to tPA and Plg, and whether PrP in fibrillar form behaves the same way as PrP unbound to any metal ion i.e., apo-PrP. We investigated the effect of recombinant mouse PrP (residues 23-231) refolded with nickel, manganese, copper, and a variant devoid of any metal ions, on tPA-catalyzed Plg activation. Using mutant PrP (H95A, H110A), we also investigated whether histidine residues outside the octarepeat region in PrP, which is known to bind tPA and Plg, are also involved in their binding. We demonstrated that apo-PrP is most effective at stimulating Plg. PrP refolded with nickle or manganese behave similar to apo-PrP, and PrP refolded with copper is least effective. The mutant form of PrP did not stimulate Plg activation to the same degree as apo-PrP indicating that the histidine residues outside the octarepeat region are also involved in binding to tPA and Plg. Similarly, the fibrillar form of PrP was ineffective at stimulating Plg activation. Our data suggest that upon loss of copper specifically, a structural rearrangement of PrP occurs that exposes binding sites to Plg and tPA, enhancing the stimulation of Plg activation.
Higher-order breathers as quasi-rogue waves on a periodic background
Authors: Ashour Omar A. , Chin Siu A. , Nikolić Stanko N. , Belić Milivoj R. 
Published: January 2022

AbstractWe investigate higher-order breathers of the cubic nonlinear Schrödinger equation on a periodic elliptic background. We find that, beyond first order, any arbitrarily constructed breather on a disordered background generates a single-peaked solitary wave. However, on the periodic backgrounds, the so-called quasi-rogue waves are found more common. These are the quasiperiodic breathers that feature distorted side peaks. We construct such higher-order breathers out of constituent first-order breathers with commensurate periods (i.e., as higher-order harmonic waves). In addition to quasiperiodic, we also find fully periodic breathers, when their wavenumbers are harmonic multiples of the background and each other. But they are truly rare, requiring finely tuned parameters. Thus, on a periodic background, we arrive at the paradoxical conclusion that the higher-order quasi-rogue waves are rather common, while the truly periodic breathers are exceedingly rare.
Is more child-initiated always better? Exploring relations between child-initiated instruction and preschoolers’ school readiness
Authors: Vaisarova Julie , Reynolds Arthur J. 
Published: January 2022

AbstractAlthough research suggests that the use of child-initiated vs. teacher-directed instructional practices in early childhood education has implications for learning and development, the precise nature of these effects remains unclear. Using data from the Midwest Child-Parent Center (CPC) Expansion Project, the present study examined the possibility that a blend of child- and teacher-directed practices best promotes school readiness among preschoolers experiencing high levels of sociodemographic risk and explored whether the optimal blend varies based on child characteristics. Sixty-two CPC preschool teachers reported their instructional practices throughout the year, using a newly developed questionnaire—the Classroom Activity Report (CAR). The average reported proportion of child-initiated instruction was examined in relation to students’ end-of-year performance on a routine school readiness assessment (N = 1289). Although there was no main effect of child-initiated instruction on school readiness, there was a significant interaction between instruction and student age. Four-year-olds’ school readiness generally improved as the proportion of child-initiated time increased, while 3-year-olds showed a U-shaped pattern. The present findings add to the evidence that child-initiated instruction might support preschoolers’ school readiness, although they also suggest this relation may not always be linear. They also point to the importance of examining instructional strategies in relation to student characteristics, in order to tailor strategies to the student population. The CAR has potential as a brief, practical measurement tool that can support program monitoring and professional development.
Instability of SRPT, SERPT and SJF multiclass queueing networks
Authors: Kruk Łukasz , Chojecki Tymoteusz 
Published: January 2022

AbstractWe provide two examples of strictly subcritical multiclass queueing networks which are unstable under the shortest remaining processing time (SRPT) service protocol. Both of them are reentrant lines with two servers and eight customer classes. The customer service times in our first system are deterministic, yielding an example of an unstable shortest remaining expected processing time (SERPT) network. In the second one, the service times in one customer class are randomized. Both our examples show also system instability under the shortest job first (SJF) discipline. A simulation study of robustness of our results with respect to changes in the customer interarrival and service times is also provided. Our results indicate that size-based service policies may not use the available resources efficiently in a multiserver network setting and in fact cause instability effects. This is in sharp contrast with their satisfactory performance for single-server queues.
Tight upper and lower bounds for the reciprocal sum of Proth primes
Authors: Borsos Bertalan , Kovács Attila , Tihanyi Norbert 
Published: January 2022

AbstractComputing the reciprocal sum of sparse integer sequences with tight upper and lower bounds is far from trivial. In the case of Carmichael numbers or twin primes even the first decimal digit is unknown. For accurate bounds the exact structure of the sequences needs to be unfolded. In this paper we present explicit bounds for the sum of reciprocals of Proth primes with nine decimal digit precision. We show closed formulae for calculating the nth Proth number $$F_n$$

F
n

, the number of Proth numbers up to n, and the sum of the first n Proth numbers. We give an efficiently computable analytic expression with linear order of convergence for the sum of the reciprocals of the Proth numbers involving the $$\Psi $$
Ψ
function (the logarithmic derivative of the gamma function). We disprove two conjectures of Zhi-Wei Sun regarding the distribution of Proth primes.
Comparison of structural changes in the agriculture and fisheries industries before and after the Great East Japan Earthquake: a case study of Iwate Prefecture’s coastal area
Authors: Nakamura Momoka , Hattori Toshihiro , Kariya Miku 
Published: January 2022

AbstractThis study categorised the fishery districts in Iwate Prefecture, which were severely damaged by the Great East Japan Earthquake, using data on agriculture and fishery. Subsequently, changes in the industrial structure of coastal rural areas before and after the earthquake were clarified through an examination of both agriculture and fisheries at the same time. Using cluster analysis, district categories were classified into three cluster types (small-scale primary industry, large-scale primary industry and fishery-dominated clusters) before the earthquake and a fourth cluster (the three aforementioned clusters plus high population density clusters) after the earthquake. The industrial structure’s most significant change was in fishery-dominated clusters before the earthquake. After the earthquake, clusters with the characteristics of a high population density and small industries emerged. The change in the degree of population decline indicates that the loss of population has not accelerated in the districts where agriculture and fishery have been rebuilt in a balanced manner, although the scale may be either small or large. This finding suggests that both agriculture and fishery are important in coastal rural areas, just as the two were before the earthquake.
What is Community in Early Childhood Education and Care for Sustainability? Exploring Communities of Learners in Swedish Preschool Provision
Authors: Lecusay Robert , Mrak Lina , Nilsson Monica 
Published: January 2022

AbstractIn UNESCO’s recent publicationEducation for Sustainable Development: A Roadmapthe idea of community is described as playing an important role in the organization of education for sustainable development as a means of supporting transformations towards sustainability. In the present study we examine the relationship between community and the organization of Early Childhood Education and Care for Sustainability (ECECfS). This examination is based on case studies of Swedish preschool teachers’ perspectives and practices in relation to ECECfS. Drawing on Cultural Historical Activity Theory and the concept of ontological Communities of Learners, we describe ways in which community-based characteristics of the preschools shape and are shaped by cultural tools used to pursue ECECfS. Themed-Project Work (TPW), a common means in Swedish preschools of organizing day-today activities, emerged as an important practice through which to examine questions of community within and across preschools. We describe organizational tensions concerning how pedagogical practices like TPW change from being tools to support a preschool’s activities, to being objects toward which these activities are oriented. Such changes can enable or constrain a preschool’s possibilities for building pluralistic and democratic ECEC environments. We also discuss how the said organizational tensions are rooted in how community is conceived of in preschool provision. Community is constituted not only through the relationships among members of individual preschools but also through the relationships that preschools have with other preschools in their administrative networks. We discuss contradictions that emerge in this matrix of relationships that shape how preschools enact good governance in the pursuit of ECECfS.
Contribution of gas adsorption–desorption in Marcellus shale for different fractured well configurations
Authors: Muther Temoor , Syed Fahad Iqbal , Dahaghi Amirmasoud Kalantari , Negahban Shahin 
Published: January 2022

AbstractGas adsorption onto the shale system carries significant importance in accurately forecasting gas production and estimating underground reserves. For the Marcellus shale system, the adsorption of gas also plays a critical role in ultimate recovery and overall reserves quantification. Yet, the effect of different adsorption characteristics in different Marcellus shale regions is not systematically analyzed together. In this study, the contribution of different gas adsorption phenomena in Marcellus shale for different fractured well configurations is investigated. The objective is to understand the reservoir production responses under various adsorption characteristics and well design. For this analysis, a mechanistic Marcellus shale model under confining stresses is numerically simulated with the available literature data. After that, six samples containing adsorption characteristics of different Marcellus shale regions are taken from the literature and specified in the model for accurately defining the adsorption physics in the shale system. In the end, two different well configurations including the fractured vertical and horizontal well are specified in the model separately to analyze the impact of gas desorption on production response. The analysis indicates that the gas desorption improves the overall gas production by a maximum of 5% in a single-stage multi-clustered fractured horizontal well. In addition, the effect of desorption is found to be minimal during initial flow periods, and considerable at longer flow periods. Additionally, the gas desorption is found to be more responsive towards high surface area and large fracture networks. Finally, it is determined that a fractured horizontal well is a viable option that allows high gas desorption in Marcellus shale. This study, hence, aids widely in deciding better production strategies based on adsorption characteristics for producing Marcellus shale.
Towards industrial application of fungal pretreatment in 2G biorefinery: scale-up of solid-state fermentation of wheat straw
Authors: Pallín Miguel Álvarez , González-Rodríguez Sandra , Eibes Gemma , López-Abelairas María , Moreira María Teresa , Lema Juan M. , Lú-Chau Thelmo A. 
Published: January 2022

Abstract
Fungal pretreatment of lignocellulosic biomass for bioethanol production is an environmental-friendly alternative to steam explosion. However, this biological pretreatment has been tested on a small scale, where most of the typical problems of solid-state fermentations (SSF), such as limited aeration or temperature control, are not observed. The main objective of this study was to assess the feasibility of the fungal pretreatment of lignocellulosic biomass (wheat straw) at a demonstration scale using the white-rot fungus Irpex lacteus to improve straw digestibility. Different configurations were evaluated for the design of a 22 L SSF reactor, but a versatile vertical design that can operate as a packed-bed and as a tray reactor was selected. The wheat straw digestibility obtained in the SSF bioreactor after 21 days of pretreatment (60.6%) was similar to that achieved on a small scale (57.9%). In addition, the most common online monitoring variables (temperature and CO2 production) correlate with the fungal action on wheat straw. As well as the weight loss, obtaining comparable results at flask and reactor scale (30 and 34.5%, respectively).
Graphical abstract
CrabNet for Explainable Deep Learning in Materials Science: Bridging the Gap Between Academia and Industry
Authors: Wang Anthony Yu-Tung , Mahmoud Mahamad Salah , Czasny Mathias , Gurlo Aleksander 
Published: January 2022

AbstractDespite recent breakthroughs in deep learning for materials informatics, there exists a disparity between their popularity in academic research and their limited adoption in the industry. A significant contributor to this “interpretability-adoption gap” is the prevalence of black-box models and the lack of built-in methods for model interpretation. While established methods for evaluating model performance exist, an intuitive understanding of the modeling and decision-making processes in models is nonetheless desired in many cases. In this work, we demonstrate several ways of incorporating model interpretability to the structure-agnostic Compositionally Restricted Attention-Based network, CrabNet. We show that CrabNet learns meaningful, material property-specific element representations based solely on the data with no additional supervision. These element representations can then be used to explore element identity, similarity, behavior, and interactions within different chemical environments. Chemical compounds can also be uniquely represented and examined to reveal clear structures and trends within the chemical space. Additionally, visualizations of the attention mechanism can be used in conjunction to further understand the modeling process, identify potential modeling or dataset errors, and hint at further chemical insights leading to a better understanding of the phenomena governing material properties. We feel confident that the interpretability methods introduced in this work for CrabNet will be of keen interest to materials informatics researchers as well as industrial practitioners alike.