bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comprehensive investigation of abrasive barrel finishing on hardness and manufacturability of laser-based powder bed fusion hollow components
Authors: Khorasani Mahyar , Ghasemi Amir Hossein , Farabi Ehsan , Leary Martin , Gibson Ian , Rolfe Bernard 
Published: March 2022

AbstractOne of the main issues of laser-based powder bed fusion (LB-PBF) parts is surface quality and dimensional deviations, which require post-processing. Conventional post-processing such as turning and milling cannot machine internal surfaces and therefore is not suitable for hollow components. In this paper, Ti–6Al–4 V components with different hollow shapes were printed by LB-PBF and post-processed by centrifugal barrel finishing (CBF). Samples were printed based on Taguchi L18 design of experiments (DoE) on the (L18: 21 × 33) matrix and polished in abrasive solution by porcelain triangular media 2 × 2 mm. The effect of process parameters including rotation direction, speed, time and volumetric percentage of abrasive on hardness and manufacturability, including surface quality, material removal rate (MRR) and dimensional deviation, are discussed. The novelty of this work is the application of this process to clean both the internal and external surfaces of LB-PBF parts, where previously it has only been investigated for external surfaces. This paper scrutinized the performance of the CBF on internal geometries, and it was shown for the size of the investigated components, the hexagonal hollow achieved the highest maximum removal rate over the square and circular hollows. In addition, the effect of CBF on plastic deformation and microstructural characterization has been investigated to find the effect of this process on work hardening. The results of this study also show that the rotational speed and the volumetric percentage of the abrasive directly drive the MRR. A higher rotational speed increases the slope of the sliding path and the sliding speed between printed parts and abrasive media, which causes higher cutting and grinding, MRR and media wear rate.
Temporal expression of defence and susceptibility genes and tospovirus accumulation in capsicum chlorosis virus-infected capsicum
Authors: Borges Naito Fernanda Yuri , Widana Gamage Shirani Manel Kumari , Mitter Neena , Dietzgen Ralf Georg 
Published: March 2022

AbstractYolo Wonder (YW) and Warlock (W), two capsicum cultivars that are susceptible to capsicum chlorosis virus (CaCV), were compared in terms of symptom development, tospovirus accumulation, and host gene expression during the first 12 days post infection (dpi). Temporal expression of selected early CaCV-response genes was used to gain insights into plant-virus interactions and to identify potential targets for CaCV control. Symptoms developed faster in YW during the first seven days of infection, while systemic symptoms were similar in both cultivars at 10 and 12 dpi. CaCV accumulation was higher in YW at 7 dpi despite a lower titre at 3 dpi. At 12 dpi, virus accumulation was similar for both cultivars. Symptom development appears to be correlated to virus accumulation over time for both cultivars. Chalcone synthase (CHS), cytochrome P450 (CYP), and tetraspanin 8-like (TSP8) genes followed a similar expression pattern over time in both cultivars. The thionin gene showed increased expression in CaCV-infected plants at 12 dpi. The WRKY40 gene showed significant differential expression at all time points in YW, but only at 12 dpi in W. The strongest correlation of temporal gene expression and virus titre was seen for CYP, TSP8, thionin, and WRKY40. CHS and CYP may be involved in symptom development, and TSP8 may be involved in virus movement. CHS, CYP, and TSP8 may be good targets for future overexpression or silencing studies to clarify their functions during virus infection and, potentially, for control of CaCV in capsicum.
Dynamic PVT model for CO2-EOR black-oil simulations
Authors: Sandve Tor Harald , Sævareid Ove , Aavatsmark Ivar 
Published: March 2022

AbstractA well-planned CO2EOR operation can help meet an ever-increasing need for energy and at the same time reduce the total CO2 footprint from the energy production. Good simulation studies are crucial for investment decisions where increased oil recovery is optimized and balanced with permanent CO2 storage. It is common to use a compositional simulator for CO2 injection to accurately calculate the PVT properties of the mixture of oil and CO2. Compositional simulations have significantly increased simulation time compared to blackoil simulations. Large simulation studies where many simulations are used either to represent uncertainty and/or optimize the results can thus be unpractical. On the other hand existing blackoil formulations often poorly represent the PVT properties of the oil-CO2 mixtures. We therefore present an extended blackoil formulation with dynamic blackoil properties that depends on the fraction of CO2 in the cell. These properties represents the density and viscosity of the hydrocarbon - CO2 mixture more accurately and thus give results closer to the compositional simulator. The dynamic blackoil functions are calculated from numerical slim-tube experiments based on one-dimensional equation-of-state (EOS) simulations. The same simulations also gives estimates of the minimum-miscibility pressure (MMP). We present examples based on data from the Fifth Comparative Solution Project: Evaluation of Miscible Flood Simulators, but uses CO2 as the injection gas. These examples shows that the new blackoil model gives results that are closer to compositional simulations compared to existing blackoil formulations. The model is implemented in the Flow simulator. The Flow simulator is developed as part of the open porous media (OPM) project and is an openly developed and free reservoir simulator that is capable of simulating industry relevant reservoir models with similar single and parallel performance as commercial simulators.
Direct simulation vs subgrid scale modelling of fluid flow in fractured or fracturing porous media
Authors: Hageman T. , de Borst R. 
Published: March 2022

AbstractThe accuracy and the limits of validity of the discontinuous pressure model, which describes fluid flow inside a fracture using a subgrid scale approach, is assessed by comparing simulation results with those from direct simulation using Stokes flow. While the subgrid scale approach assumes a unidirectional flow, the Stokes model includes both velocity components. This is at the cost of meshing the interior of the fracture, which is here achieved through a spline-based mesh generation scheme. This scheme explicitly couples the spline representing the discontinuity to the fracture mesh and thereby alleviates the (re)meshing requirements for the interior of the fracture. The subgrid model and the direct simulation of Stokes flow approaches are compared by simulating a typical case containing a pressurised fracture, highlighting the advantages of using a subgrid model for the range in which its assumptions are valid, and showing its capabilities to accurately include the influence of the fracture on the porous material even outside this range.
How Do Children Socially Learn from Narrative Fiction: Getting the Lesson, Simulating Social Worlds, or Dialogic Inquiry?
Authors: Gasser Luciano , Dammert Yvonne , Murphy P. Karen 
Published: March 2022

AbstractEducators read narrative fiction with children not only to promote their literacy skills, but also to support their sociomoral development. However, different approaches strongly diverge in their explanations and recommended instructional activities. Informed by theoretical understandings of reader-text transactions, this integrative review presents three different conceptions about how children learn socially from narrative fiction. The first approach explains sociomoral learning through narrative fiction by children’s extraction and internalization of the text’s moral message. The second approach refers to children’s training of mindreading and empathy as they become immersed in a fictional social world and imaginatively engage with the fictional characters’ perspectives. The third approach focuses on children’s social reasoning development through engagement in argumentative dialogues with peers about the complex sociomoral issues raised in narrative fiction. The article aims to theoretically position a wide range of literary programs to clarify their psychological foundations as well as critically discuss their strengths and limitations.
Advanced structural analysis of a laser additive manufactured Zr-based bulk metallic glass along the build height
Authors: Best James P. , Nomoto Keita , Yang Fan , Li Bosong , Stolpe Moritz , Zeng Luyang , Evenson Zach , Hugenschmidt Christoph , Li Xiaopeng , Ringer Simon P. , Kruzic Jamie J. 
Published: March 2022

AbstractAdditive manufacturing of bulk metallic glasses (BMGs) has opened this material class to an exciting new range of potential applications, as bulk-scale, net-shaped amorphous components can be fabricated in a single step. However, there exists a critical need to understand the structural details of additive manufactured BMGs and how the glassy structure is linked to the mechanical properties. Here, we present a study of structure and property variations along the build height for a laser powder bed fusion (LPBF) processed Zr-based BMG with composition Zr59.3Cu28.8Nb1.5Al10.4 commercially termed AMZ4, using hardness testing, calorimetry, positron annihilation spectroscopy, synchrotron X-ray diffraction, and transmission electron microscopy. A lower hardness, more rejuvenated glassy structure was found at the bottom of the build compared to the middle region of the build, with the structure and properties of the top region between the two. Such differences could not be attributed to variability in chemical composition or crystallisation; rather, the softer bottom region was found to have a larger medium range order cluster size, attributed to heat dissipation into the build plate during processing, which gave faster cooling rates and less reheating compared to the steady-state middle of the build. However, at the top of the build less reheating occurs compared to the middle, leading to a somewhat softer and less relaxed state.
Graphical abstract
Socio-cultural norms in ecological psychology: The education of intention
Authors: Segundo-Ortin Miguel 
Published: March 2022

AbstractAlthough it is a common claim in the ecological psychology literature that our perception of the environment’s affordances is influenced by socio-cultural norms, an explanation of how this is possible remains to be offered. In this paper, I outline an account of this phenomenon by focusing on the ecological theory of perceptual learning. Two main theses are defended. First, I argue that to account for how socio-cultural norms can influence perception, we must pay attention not only to the education of attention but to the education of intention too. Consequently, I offer some ideas about how intention can be socio-normatively educated. Secondly, I hold that the education of intention occurs via the acquisition of habit-based preferences for particular actions. I claim that once we understand how these habit-based preferences relate to socio-cultural norms, the hypothesis that norms must be represented in the individual’s mind for them to influence affordance perception is no longer needed. If this hypothesis is on the right track, we can have an explanation for how perception can be normatively shaped and direct (non-mediated by internal representations and inferences) at the same time.
Mitigating bus bunching with real-time crowding information
Authors: Drabicki Arkadiusz , Kucharski Rafał , Cats Oded 
Published: March 2022

Abstract
A common problem in public transport systems is bus bunching, characterized by a negative feedback loop between service headways, number of boarding passengers and dwell times. In this study, we examine whether providing real-time crowding information (RTCI) at the stop regarding the two next vehicle departures can stimulate passengers to wait for a less-crowded departure, and thus alleviate the bunching effect. To this end, we leverage on results from own stated-preference survey and develop a boarding choice model. The model accounts for the presence of RTCI and is implemented within dynamic public transport simulation framework. Application to the case-study model of a major bus corridor in Warsaw (Poland) reveals that RTCI can induce a significant probability (30–70%) of intentionally skipping an overcrowded bus and waiting for a later departure instead. This behaviour, in turn, results in significantly lower vehicle headway and load variations, without deteriorations in total waiting utility. Overall, journey experience improves by 6%, and crucially—the prevalence of denial-of-boarding and excessive on-board overcrowding is substantially reduced, by ca. 40%. Results of our study indicate that the willingness to wait induced by RTCI can be a potential demand management strategy in counteracting bunching, with benefits already attainable at limited RTCI response rates.
Word processing difficulty and executive control interactively shape comprehension monitoring in a second language: an eye-tracking study
Authors: Hessel Annina K. , Schroeder Sascha 
Published: March 2022

AbstractSuccessful reading comprehension—especially in a second language (L2)—relies on the ability to monitor one’s comprehension, that is, to notice comprehension breaks and make repairs. Comprehension monitoring may be limited given effortful word processing but may also be supported through active reading. The current study addresses to what extent word processing difficulty reduces adolescents’ ability to monitor their comprehension in their L2, and whether readers can compensate limitations given sufficient executive control. We conducted an eye-tracking experiment in which 34 adolescent L2 learners (aged 13–17 years) read short expository texts containing two within-subject manipulations. First, comprehension monitoring was tested through inconsistencies, for example, when the topic changed from Spanish to Russian vis-à-vis consistent controls. Second, word processing difficulty was altered by inserting either shorter and higher-frequency words such as want, or longer and lower-frequency words such as prefer. We additionally measured participants’ executive control. Outcome variables were reading times on the whole texts and the words manipulated for inconsistency and word processing difficulty. We found evidence of successful moment-to-moment monitoring, as visible in adolescents’ increased rereading of inconsistent compared to consistent information. We also found that adolescents adapted their monitoring differently to word processing difficulty, depending on their executive control: while adolescents with weaker control reduced their monitoring given higher word processing difficulty, adolescents with stronger control monitored their comprehension more (instead of less) on difficult texts. These findings provide insights into how L2 comprehension monitoring arises in the interplay of lower-level processing load and active reading processes.
Time-optimal and privacy preserving route planning for carpool policy
Authors: Zhu Congcong , Ye Dayong , Zhu Tianqing , Zhou Wanlei 
Published: March 2022

AbstractTo alleviate the traffic congestion caused by the sharp increase in the number of private cars and save commuting costs, taxi carpooling service has become the choice of many people. Current research on taxi carpooling services has focused on shortening the detour distances. While with the development of intelligent cities, efficiently match passengers and vehicles and planning routes become urgent. And the privacy between passengers in the taxi carpooling service also needs to be considered. In this paper, we propose a time-optimal and privacy-preserving carpool route planning system via deep reinforcement learning. This system uses the traffic information around the carpooling vehicle to optimize passengers’ travel time, not only to efficiently match passengers and vehicles but also to generate detailed route planning for carpooling vehicles. We conducted experiments on an Internet of Vehicles simulator CARLA, and the results demonstrate that our method is better than other advanced methods and has better performance in complex environments.
A Digital-Twin Methodology for the Non-destructive Certification of Lattice Structures
Authors: Almalki Abduladheem , Downing David , Lozanovski Bill , Tino Rance , Du Plessis Anton , Qian Ma , Brandt Milan , Leary Martin 
Published: March 2022

AbstractAdditively manufactured (AM) lattice structures are applied in high-value applications such as lightweight aerospace design and biomedical implants. However, uncertainties of the geometry of as-manufactured AM lattice structures results in uncertainties in the associated mechanical response. This research proposes a non-destructive digital-twin certification methodology that quantifies the functional response of individual strut elements (and associated statistical distributions) from x-ray micro-computed tomography (µCT) data for as-manufactured AM lattice structures. This methodology may be algorithmically applied, as is required for the cost-effective certification of high-value lattice structures. The proposed methodology is demonstrated for a digital twin of over 2000 strut elements within a Ti-6AI-4V lattice fabricated with laser-based powder bed fusion. This digital twin allows various geometric or functional analyses to be performed, and in this case is demonstrated by acquiring statistical distributions of the predicted critical buckling load as a function of the strut element build orientation.
Förderung diagnostischer Kompetenz im Rahmen der Ausbildung von Lehrkräften für die Primarschule – Eine Studie zum Erkennen von Stärken und Schwächen von Schülerinnen und Schülern am Beispiel von Größen
Authors: Philipp K. , Gobeli-Egloff I. 
Published: March 2022

ZusammenfassungDiagnostische Kompetenz umfasst eine Vielzahl unterschiedlicher Fähigkeiten, die eine hohe Praxisrelevanz besitzen. Die Fähigkeit, Stärken und Schwächen von Schülerinnen und Schülern zu erkennen, wird insbesondere für die individuelle Förderung als fundamental betrachtet. Der diagnostische Prozess kann als Informationsverarbeitungsprozess verstanden werden, bei dem sowohl vorhandenes (fachbezogenes) Wissen als auch Informationen aus einer diagnostischen Situation aufeinander bezogen werden müssen, um Stärken und Schwächen von Schülerinnen und Schülern erkennen zu können. Ein Konzept zur Förderung dieser Teilfähigkeit diagnostischer Kompetenz am Beispiel Größen wurde im Rahmen einer Interventionsstudie mit angehenden Lehrkräften für die Primarschule (N = 181) hinsichtlich seiner Wirksamkeit quantitativ untersucht. Es zeigte sich, dass das Erkennen von Stärken und Schwächen durch die Intervention nachhaltig gefördert werden konnte. Die Art und die Nutzung von Informationen beim Diagnostizieren von Stärken und Schwächen von Schülerinnen und Schülern wurde in einer qualitativen Analyse schriftlicher Dokumente der Studierenden untersucht. Wesentliches Ergebnis der qualitativen Herangehensweise ist ein Kategoriensystem, das über die Art der verwendeten Informationen Aufschluss gibt, und möglicherweise auf weitere Inhaltsbereiche im Fach Mathematik übertragen werden kann. Insgesamt geben die Ergebnisse Hinweise auf den Erwerb diagnostischer Kompetenz.
Tissue-Material Integration and Biostimulation Study of Collagen Acellular Matrices
Authors: Quintero Sierra Lindsey Alejandra , Busato Alice , Zingaretti Nicola , Conti Anita , Biswas Reetuparna , Governa Maurizio , Vigato Enrico , Parodi Pier Camillo , Bernardi Paolo , Sbarbati Andrea , Conti Giamaica 
Published: March 2022

Abstract
Background:
Breast reconstruction after mastectomy using silicone implants is a surgical procedure that occasionally leads to capsular contracture formation. This phenomenon constitutes an important and persistent cause of morbidity, and no successful therapies are available to date. Recently, the use of acellular membranes as a protective material for silicone prostheses has been gaining attention due to their ability to prevent this adverse outcome. For this reason, the evaluation of the tissue-material integration and the induced biostimulation by acellular membranes results crucial. Evaluation of in vivo tissue integration and biostimulation induced by three different natural acellular collagen membranes.

Methods:
Scanning electron microscopy was performed to analyse the membrane porosity and cells-biomaterial interaction in vitro, both in dry and wet conditions. Adipose-derived stem cells were cultured in the presence of membranes, and the colonisation capacity and differentiation potential of cells were assessed. In vivo tests and ex vivo analyses have been performed to evaluate dermal integration, absorption degree and biostimulation induced by the evaluated membrane.

Results:
Analysis performed in vitro on the three different acellular dermal matrices evidenced that porosity and the morphological structure of membranes influence the liquid swelling ratio, affecting the cell mobility and the colonisation capacity. Moreover, the evaluated membranes influenced in different manner the adipose derived stem cells differentiation and their survival. In vivo investigation indicated that the absorption degree and the fluid accumulation surrounding the implant were membrane-dependent. Finally, ex vivo analysis confirmed the membrane-dependent behavior revealing different degree of tissue integration and biostimulation, such as adipogenic stimulation.

Conclusion:
The physico-chemical characteristics of the membranes play a key role in the biostimulation of the cellular environment inducing the development of well-organized adipose tissue.
Regularisation by regular noise
Authors: Gerencsér Máté 
Published: March 2022

AbstractWe show that perturbing ill-posed differential equations with (potentially very) smooth random processes can restore well-posedness—even if the perturbation is (potentially much) more regular than the drift component of the solution. The noise considered is of fractional Brownian type, and the familiar regularity condition $$\alpha >1-1/(2H)$$

α
>
1
-
1
/
(
2
H
)

is recovered for all non-integer $$H>1$$

H
>
1

.
Preparation and properties of T-ZnOw enhanced BCP scaffolds with double-layer structure by digital light processing
Authors: Pan Ming-Zhu , Hua Shuai-Bin , Wu Jia-Min , Yuan Xi , Deng Ze-Lin , Xiao Jun , Shi Yu-Sheng 
Published: March 2022

AbstractBone scaffolds require both good bioactivity and mechanical properties to keep shape and promote bone repair. In this work, T-ZnOw enhanced biphasic calcium phosphate (BCP) scaffolds with triply periodic minimal surface (TPMS)-based double-layer porous structure were fabricated by digital light processing (DLP) with high precision. Property of suspension was first discussed to obtain better printing quality. After sintering, T-ZnOw reacts with β-tricalcium phosphate (β-TCP) to form Ca19Zn2(PO4)14, and inhibits the phase transition to α-TCP. With the content of T-ZnOw increasing from 0 to 2 wt%, the flexural strength increases from 40.9 to 68.5 MPa because the four-needle whiskers can disperse stress, and have the effect of pulling out as well as fracture toughening. However, excessive whiskers will reduce the cure depth, and cause more printing defects, thus reducing the mechanical strength. Besides, T-ZnOw accelerates the deposition of apatite, and the sample with 2 wt% T-ZnOw shows the fastest mineralization rate. The good biocompatibility has been proved by cell proliferation test. Results confirmed that doping T-ZnOw can improve the mechanical strength of BCP scaffolds, and keep good biological property, which provides a new strategy for better bone repair.