bluuebunny/crossref_metadata_2025_split huggingface dataset:
“I am part of the group, the others listen to me”: theorising productive listening in mathematical group work
Authors: Sjöblom Marie , Meaney Tamsin 
Published: April 2021

AbstractAlthough group work is considered beneficial for problem solving, the listening that is needed for jointly solving mathematical problems is under-researched. In this article, the usefulness of two communication frameworks for understanding students’ listening is examined, using data from an educational design research study in an upper secondary mathematics classroom in Sweden. From the analysis, it was apparent that these frameworks did not provide sufficient information about the complexity of listening in this context. Consequently, a new framework, “productive listening,” is described which focuses on observable features connected to students’ ability to show willingness to listen and to request listening from others. This framework included the purpose for listening, connected to problem-solving stages, and social aspects to do with respecting the speaker’s contribution as being valuable and feeling that one’s own contribution would be listened to. These two aspects are linked to socio-mathematical norms about expecting to listen to others’ mathematical thinking and to ask clarifying questions about this thinking. By using this framework on the data from the earlier study, it was possible to better understand the complexity of listening in group work about mathematical problem solving.
A Review of Geophysical Modeling Based on Particle Swarm Optimization
Authors: Pace Francesca , Santilano Alessandro , Godio Alberto 
Published: April 2021

AbstractThis paper reviews the application of the algorithm particle swarm optimization (PSO) to perform stochastic inverse modeling of geophysical data. The main features of PSO are summarized, and the most important contributions in several geophysical fields are analyzed. The aim is to indicate the fundamental steps of the evolution of PSO methodologies that have been adopted to model the Earth’s subsurface and then to undertake a critical evaluation of their benefits and limitations. Original works have been selected from the existing geophysical literature to illustrate successful PSO applied to the interpretation of electromagnetic (magnetotelluric and time-domain) data, gravimetric and magnetic data, self-potential, direct current and seismic data. These case studies are critically described and compared. In addition, joint optimization of multiple geophysical data sets by means of multi-objective PSO is presented to highlight the advantage of using a single solver that deploys Pareto optimality to handle different data sets without conflicting solutions. Finally, we propose best practices for the implementation of a customized algorithm from scratch to perform stochastic inverse modeling of any kind of geophysical data sets for the benefit of PSO practitioners or inexperienced researchers.
On the Combinatory Nature of Knowledge Transfer Conditions: A Mixed Method Assessment
Authors: Bacon Emily , Williams Michael D. , Davies Gareth H. 
Published: April 2021

AbstractOrganisations are increasingly creating inter-organisational ecosystem partnerships to innovate openly. Despite effective knowledge management significantly supporting ecosystem infrastructures, empirical insights into the importance of and interdependencies between conditions for successful knowledge exchange across ecosystem contexts remain unexplored within existing literature. This study implements a mixed-method approach to ascertain which conditions are responsible for knowledge transfer success across innovation ecosystems. Interpretive Structural Modelling was employed to analyse questionnaires with key ecosystem stakeholders, in order to impose a hierarchical structure upon the conditions. The configurational nature of these conditions, and their combinations into solutions for success was ascertained through analysing semi-structured interviews using fuzzy-set Qualitative Comparative Analysis. Results reveal multiple, mutually exclusive pathways to knowledge transfer success, grouped into three solution types, increasing understanding of the interrelated nature of the knowledge transfer conditions. Limitations and implications for future research are provided.
Evaluation of macroseismic intensity, strong ground motion pattern and fault model of the 19 July 2019 Mw5.1 earthquake west of Athens
Authors: Kouskouna V. , Ganas A. , Kleanthi M. , Kassaras I. , Sakellariou N. , Sakkas G. , Valkaniotis S. , Manousou E. , Bozionelos G. , Tsironi V. , Karamitros I. , Tavoularis N. , Papaioannou Ch. , Bossu R. 
Published: April 2021

AbstractThis paper presents a joint analysis of instrumental and macroseismic data regarding the 19 July 2019, Greece Mw5.1 earthquake occurred west of Athens. This earthquake ruptured a blind, south-dipping normal fault, 23 km WNW of the center of Athens, while its relocated epicentre lies in close vicinity to the one of the 1999 Mw6.0 earthquake. The maximum macroseismic intensity of the 2019 mainshock reached IEMS98 = 7.5. Scarce damage and intensities up to 5–6 were reported in the epicentral area. Higher intensities were observed at larger distances, 12–15 km east and ESE of the epicentre, alongside the banks of Kifissos River, likely related to ground motion amplification due to soft alluvial formations. Similar selectivity of increased ground motions to the east of the epicentre with respect to other azimuths, also observed during the 1981 and 1999 earthquakes, supports eastward rupture directivity of the 2019 mainshock, an effect that is possibly common for the region’s fault system. Damping of seismic effects was observed east of Aegaleo Mountain, a structure suggested to impose a stopping phase in the time histories of the 1999 and 2019 earthquakes (Fig. A1).
In the name of the family? Against parents’ refusal to disclose prognostic information to children
Authors: Rost Michael , Mihailov Emilian 
Published: April 2021

AbstractParents frequently attempt to shield their children from distressing prognostic information. Pediatric oncology providers sometimes follow parental request for non-disclosure of prognostic information to children, invoking what we call the stability of the family argument. They believe that if they inform the child about terminal prognosis despite parental wishes, cohesion and family structure will be severely hampered. In this paper, we argue against parental request for non-disclosure. Firstly, we present the stability of the family argument in more detail. We, then, set out the (conceptual, legal, systemic) entitativity of the family and the kind of value the stability of the family argument assumes, before we set on to critically evaluate the argument. Our analysis shows that disclosure of prognostic information to children does not necessarily destabilize the family to a greater extent than non-disclosure. In fact, a systemic perspective suggests that mediated disclosure is more likely to result in a (long-term) stability of the family than non-disclosure. It is in the interest of the family to resist the initial aversive reaction to delivering bad news. In the final part, we draw a set of recommendations on how to facilitate decision-making in face of parental request for non-disclosure.
The integral role of the clinical pharmacist in drug-assisted intubation at a newly established children’s major trauma center
Authors: Enright Kevin , Akram Shazia , Hussain Amna , Powell Colin V. E. 
Published: April 2021

AbstractThis commentary outlines how the clinical pharmacist can support the safe administration of emergency medications in trauma anesthesia for seriously injured children. Promoting the professional development of the clinical pharmacist provided an opportunity to strengthen a key step in our trauma care pathway. We describe the implementation of this process in a new hospital, which was to become the designated children’s trauma center for an entire country. Although the literature documents the use of pharmacists in emergency intubation, ours was a unique set of circumstances, where empowering the pharmacist in frontline clinical care provided additional quality assurance for rapid sequence induction and intubation in trauma. Medical simulation was a core part of socializing the advanced clinical practice role of pharmacy within the trauma team. It was our experience that the pharmacist helps to promote confidence and decision making among other members of the trauma team.
Mental well-being of the general population: direct and indirect effects of socioeconomic, relational and health factors
Authors: Soldevila-Domenech Natalia , Forero Carlos G. , Alayo Itxaso , Capella Jordina , Colom Joan , Malmusi Davide , Mompart Anna , Mortier Philippe , Puértolas Beatriz , Sánchez Néstor , Schiaffino Anna , Vilagut Gemma , Alonso Jordi 
Published: April 2021

Abstract
Purpose
The aim of this study was to analyse the association between individual mental well-being and social, economic, lifestyle and health factors.

Methods
Cross-sectional study on a representative sample of 13,632 participants (> 15y/o) from the Catalan Health Interview Survey 2013–2016 editions. Mental well-being was assessed with the Warwick–Edinburg Mental Well-being Scale (WEMWBS). Linear regressions were fitted to associate well-being and sociodemographic, relational, lifestyle and health variables according to minimally sufficient adjustment sets identified using directed acyclic graphs. Predictors entered the model in blocks of variable types and analysed individually. Direct and total effects were estimated.

Results
Health factors significantly contributed to mental well-being variance. Presence of a mental disorder and self-reported health had the largest effect size (eta2 = 13.4% and 16.3%). The higher individual impact from a variable came from social support (β = − 12.8, SE = 0.48, eta2 = 6.3%). A noticeable effect gradient (eta2 = 4.2%) from low to high mental well-being emerged according to economic difficulties (from β = 1.59, SE = 0.33 for moderate difficulties to β = 6.02 SE = 0.55 for no difficulties). Younger age (β = 5.21, SE = 0.26, eta2 = 3.4%) and being men (β = 1.32, SE = 0.15, eta2 = 0.6%) were associated with better mental well-being. Direct gender effects were negligible.

Conclusions
This study highlights health and social support as the most associated factors with individual mental well-being over socioeconomic factors. Interventions and policies aimed to these factors for health promotion would improve population mental well-being.
Improving biological production of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) co-polymer: a critical review
Authors: Policastro Grazia , Panico Antonio , Fabbricino Massimiliano 
Published: April 2021

AbstractAlthough poly(3-hydroxybutyrate-co-3-hydroxyvalerate) (PHBV) is the most promising biopolymer for petroleum-based plastics replacement, the low processes productivity as well as the high sale price represent a major barrier for its widespread usage. The present work examines comparatively the existing methods to enhance the yield of the PHBV co-polymer biologically produced and/or reduce their costs. The study is addressed to researchers working on the development of new biological production methods and/or the improvement of those currently used. At this aim, the authors have considered the analysis of some crucial aspects related to substrates and microorganism’s choice. The production strategies have been individuated, presented and discussed, either based on a single aspect (type of substrate or microorganism) or based on combined aspects (type of substrate and microorganism). Process operating conditions have been discussed as well. The analysis indicates that the addition of 3HV precursors is capable to dramatically enhance the hydroxyvalerate fraction in the produced biopolymers. On the other hand, due to the high costs of the 3HV precursors, the utilization of wild bacterial species capable to produce the hydroxyvalerate fraction from unrelated carbon sources (i.e. no 3HV precursors) also can be considered a valuable strategy for costs reduction. Moreover, metabolic engineering techniques can be successfully used to promote 3HV precursors-independent biosynthesis pathways and enhance the process productivity. The use of mixed cultures or extremophile bacteria avoids the need of sterile working conditions, and therefore favours the process scale-up. The utilization of the organic waste as substrate plays a key role for a sharp reduction of production costs. Finally, the selection of the most suitable substrate-microorganism combination cannot be separated by the adoption of an appropriate choice of reactor configuration and abiotic factors.
Graphic abstract
Secondary School Students’ Reasoning About Science and Personhood
Authors: Billingsley Berry , Nassaji Mehdi 
Published: April 2021

AbstractScientific advances, particularly in evolutionary biology, genetics, neuroscience and artificial intelligence, present many challenges to religious and popular notions of personhood. This paper reports the first large-scale study on students’ beliefs about the interactions between science and widely held beliefs about personhood. The paper presents findings from a questionnaire survey (n = 530) administered to English secondary school students (age 15–16) in which their beliefs and concepts regarding personhood and the position of science were investigated. The survey was motivated in part by an interview study and a previous, smaller survey which revealed that many students struggle to reconcile their beliefs with what they suppose science to say and also that some have reluctantly dismissed the soul as a ‘nice story’ which is incompatible with scientific facts. The results from this larger-scale survey indicate that a majority of the students believe in some form of soul. Even so, and regardless of whether or not they identified themselves as religious, most students expressed a belief that human persons cannot be fully explained scientifically, a position that some students perceived as a partial rejection of what it means to hold a scientific worldview.
Modelling ourselves: what the free energy principle reveals about our implicit notions of representation
Authors: Sims Matt , Pezzulo Giovanni 
Published: April 2021

AbstractPredictive processing theories are increasingly popular in philosophy of mind; such process theories often gain support from the Free Energy Principle (FEP)—a normative principle for adaptive self-organized systems. Yet there is a current and much discussed debate about conflicting philosophical interpretations of FEP, e.g., representational versus non-representational. Here we argue that these different interpretations depend on implicit assumptions about what qualifies (or fails to qualify) as representational. We deploy the Free Energy Principle (FEP) instrumentally to distinguish four main notions of representation, which focus on organizational, structural, content-related and functional aspects, respectively. The various ways that these different aspects matter in arriving at representational or non-representational interpretations of the Free Energy Principle are discussed. We also discuss how the Free Energy Principle may be seen as a unified view where terms that traditionally belong to different ontologies—e.g., notions of model and expectation versus notions of autopoiesis and synchronization—can be harmonized. However, rather than attempting to settle the representationalist versus non-representationalist debate and reveal something about what representations aresimpliciter, this paper demonstrates how the Free Energy Principle may be used to reveal something about those partaking in the debate; namely, whatourhidden assumptions about what representations are—assumptions that act as sometimes antithetical starting points in this persistent philosophical debate.
Groups discipline resource use under scarcity
Authors: Diekert Florian , Brekke Kjell Arne 
Published: April 2021

AbstractScarcity sharpens the conflict between short term gains and long term sustainability. Psychological research documents that decision makers focus on immediate needs under scarcity and use available resources more effectively. However, decision makers also borrow too much from future resources and overall performance decreases as a consequence. Using an online experiment, we study how scarcity affects borrowing decisions in groups. We first document that scarcity affects groups in a similar way as individuals. Then, we go on to show that the negative effect of scarcity is weaker for groups than for individuals. Even in a minimal design that excludes direct interaction or communication, the fact that participants know that their own behavior affects and can be partly observed by another participant disciplines their use of scarce resources. Our results thus highlight the benefit of groups as units of human organization.
Integrating knowledge on biophysical and socioeconomic potential to map clusters for future milk production in Ethiopia
Authors: Ndambi Oghaiki Asaah , Ceccarelli Tomaso , Zijlstra Jelle , van Eupen Michiel , Berhanu Tinsae Beyenne , Vernooij Adriaan , van der Lee Jan 
Published: April 2021

AbstractDespite growing milk demand and imports, market-oriented milk production and formal processing in Ethiopia is limited to areas around Addis Ababa, notwithstanding its competing land use demand. This study assessed biophysical and market potential for developing the dairy sector, characterizing Ethiopian dairy clusters. Biophysical data from geographic information system (GIS) sources and information from key informants were combined in mapping and ranking these clusters on milk production potential. Twenty-four indicators in six major categories were applied for this assessment: feed availability, environmental conditions for dairy cattle, current production status, access to inputs and services, output market access, and production expansion potential. Feed availability (fodder, crop residues, and agro-industrial by-products as well as land availability and affordability) were the main drivers for dairy development, followed by the current production status, mainly driven by number of (improved) dairy cattle and (formal) milk volumes. Dairy clusters close to Addis Ababa had the highest overall scores for development potential, mainly determined by local demand and access to inputs. For dairy sustainable dairy development in Ethiopia, companies seeking long-term opportunities may avoid the Addis Ababa area and develop dairy production and processing in other clusters especially in Amhara and Tigray regions, with good milk production potential but less developed market infrastructure. The combination of biophysical data and key informant knowledge offered key strengths in delivering valuable results within a short time span. It however requires a careful selection of knowledgeable key informants whose expertise cover a broad scope of the dairy value chain.
2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search
Authors: Jia Wei , Xia Wei , Zhao Yang , Min Hai , Chen Yan-Xiang 
Published: April 2021

AbstractPalmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition and have achieved impressive results. In recent years, in the field of artificial intelligence, deep learning has gradually become the mainstream recognition technology because of its excellent recognition performance. Some researchers have tried to use convolutional neural networks (CNNs) for palmprint recognition and palm vein recognition. However, the architectures of these CNNs have mostly been developed manually by human experts, which is a time-consuming and error-prone process. In order to overcome some shortcomings of manually designed CNN, neural architecture search (NAS) technology has become an important research direction of deep learning. The significance of NAS is to solve the deep learning model’s parameter adjustment problem, which is a cross-study combining optimization and machine learning. NAS technology represents the future development direction of deep learning. However, up to now, NAS technology has not been well studied for palmprint recognition and palm vein recognition. In this paper, in order to investigate the problem of NAS-based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct a performance evaluation of twenty representative NAS methods on five 2D palmprint databases, two palm vein databases, and one 3D palmprint database. Experimental results show that some NAS methods can achieve promising recognition results. Remarkably, among different evaluated NAS methods, ProxylessNAS achieves the best recognition performance.
Can stress turn trees hair white? Hair covering of stems improves resilience of corticular photosynthesis against heat-stress
Authors: Wittmann Christiane , Kelsch Barbara , Reßing Franziska , Pfanz Hardy 
Published: April 2021

AbstractThe hypothesis was tested that hair covering of stems improves resilience of corticular photosynthesis against heat stress. Hairy and non-hairy outer bark of Quercus ilex L. and Quercus robur L. trees was removed and optical properties measured. Additionally, structural bark traits and chlorophyll fluorescence parameters during heat stress treatment were studied. Optical analysis revealed a protective role of hairy outer bark (OB) against overheating of the underlying cortex of the stems. Hairiness decreased OB transmittance and increased thermal insulation of stems by an increased absorptance and reflectance of OB in the visible (380–720 nm) and an increased reflectance in the infrared part of the spectrum (720–900 nm). Simple linear regression analysis revealed no significant effect of stem structural traits (OB thickness (OBT), cortex density (Dcortex), cortex water content (Wcortex)) on corticular photochemistry (PScort), while optical traits of outer bark were significantly (P < 0.01) correlated with PScort. OB reflectance explained up to 91% of the variation in PSII quantum yield under heat stress. At high temperatures (> 45 °C) PScort of the hairy species showed a higher resilience and a better post-stress-recovery as compared to the non-hairy one. It is concluded that stem hairs play a physiologically significant role in modulating the stem energy balance due to a close interaction between optical characteristics of hairy OB and stem photochemical processes.
On the three ball theorem for solutions of the Helmholtz equation
Authors: Berge Stine Marie , Malinnikova Eugenia 
Published: April 2021

AbstractLet$$u_{k}$$ukbe a solution of the Helmholtz equation with the wave numberk,$$\varDelta u_{k}+k^{2} u_{k}=0$$Δuk+k2uk=0, on (a small ball in) either$${\mathbb {R}}^{n}$$Rn,$${\mathbb {S}}^{n}$$Sn, or$${\mathbb {H}}^{n}$$Hn. For a fixed pointp, we define$$M_{u_{k}}(r)=\max _{d(x,p)\le r}|u_{k}(x)|.$$Muk(r)=maxd(x,p)≤r|uk(x)|.The following three ball inequality$$M_{u_{k}}(2r)\le C(k,r,\alpha )M_{u_{k}}(r)^{\alpha }M_{u_{k}}(4r)^{1-\alpha }$$Muk(2r)≤C(k,r,α)Muk(r)αMuk(4r)1-αis well known, it holds for some$$\alpha \in (0,1)$$α∈(0,1)and$$C(k,r,\alpha )>0$$C(k,r,α)>0independent of$$u_{k}$$uk. We show that the constant$$C(k,r,\alpha )$$C(k,r,α)grows exponentially ink(whenris fixed and small). We also compare our result with the increased stability for solutions of the Cauchy problem for the Helmholtz equation on Riemannian manifolds.