bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative life cycle assessment of Fe2O3-based fibers as anode materials for sodium-ion batteries
Authors: Malara Angela , Pantò Fabiola , Santangelo Saveria , Antonucci Pier Luigi , Fiore Michele , Longoni Gianluca , Ruffo Riccardo , Frontera Patrizia 
Published: September 2020

AbstractSodium-ion batteries (SIBs) potentially represent a more sustainable, less expensive and environmentally friendly alternative to lithium-ion batteries. The development of new low-cost, non-toxic, highly performing electrode materials is the key point for the SIB technology advances. This study develops a basic life cycle assessment (LCA) model for the evaluation of the production by electrospinning of iron (III) oxide-based fibers to be used as anode materials in SIBs. Indeed, it has been recently demonstrated that electrospun silicon-doped iron (III) oxide (Fe2O3) fibers exhibit outstanding electrochemical properties and gravimetric capacities never achieved before for pure Fe2O3-based anodes. The LCA methodology is utilized in order to analyze the environmental burdens (from raw material extraction to manufacturing process) of these electrode materials. The simplified comparative LCA studies, conducted to assess the environmental impacts associated with the electrospun Fe2O3 and Fe2O3:Si fibers at the same cell performance, demonstrate that the Si-doped anode material, which exhibits better electrochemical performance with respect to the undoped one, has also lower impact for each category of damage, namely human health, ecosystem quality and resources.
Friendly AI
Authors: Fröding Barbro , Peterson Martin 
Published: September 2020

AbstractIn this paper we discuss what we believe to be one of the most important features of near-future AIs, namely their capacity to behave in a friendly manner to humans. Our analysis of what it means for an AI to behave in a friendly manner does not presuppose that proper friendships between humans and AI systems could exist. That would require reciprocity, which is beyond the reach of near-future AI systems. Rather, we defend the claim that social AIs should be programmed to behave in a manner that mimics a sufficient number of aspects of proper friendship. We call this “as-if friendship”. The main reason for why we believe that ‘as if friendship’ is an improvement on the current, highly submissive behavior displayed by AIs is the negative effects the latter can have on humans. We defend this view partly on virtue ethical grounds and we argue that the virtue-based approach to AI ethics outlined in this paper, which we call “virtue alignment”, is an improvement on the traditional “value alignment” approach.
Genetic testing and surveillance in infantile myofibromatosis: a report from the SIOPE Host Genome Working Group
Authors: Hettmer Simone , Dachy Guillaume , Seitz Guido , Agaimy Abbas , Duncan Catriona , Jongmans Marjolijn , Hirsch Steffen , Kventsel Iris , Kordes Uwe , de Krijger Ronald R. , Metzler Markus , Michaeli Orli , Nemes Karolina , Poluha Anna , Ripperger Tim , Russo Alexandra , Smetsers Stephanie , Sparber-Sauer Monika , Stutz Eveline , Bourdeaut Franck , Kratz Christian P. , Demoulin Jean-Baptiste 
Published: September 2020

AbstractInfantile myofibromatosis (IM), which is typically diagnosed in young children, comprises a wide clinical spectrum ranging from inconspicuous solitary soft tissue nodules to multiple disseminated tumors resulting in life-threatening complications. Familial IM follows an autosomal dominant mode of inheritance and is linked toPDGFRBgermline variants. SomaticPDGFRBvariants were also detected in solitary and multifocal IM lesions.PDGFRBvariants associated with IM constitutively activate PDGFRB kinase activity in the absence of its ligand. Germline variants have lower activating capabilities than somatic variants and, thus, require a second cis-acting hit for full receptor activation. Typically, these mutant receptors remain sensitive to tyrosine kinase inhibitors such as imatinib. The SIOPE Host Genome Working Group, consisting of pediatric oncologists, clinical geneticists and scientists, met in January 2020 to discuss recommendations for genetic testing and surveillance for patients who are diagnosed with IM or have a family history of IM/PDGFRBgermline variants. This report provides a brief review of the clinical manifestations and genetics of IM and summarizes our interdisciplinary recommendations.
On the Classification Between $$\psi$$-Ontic and $$\psi$$-Epistemic Ontological Models
Authors: Oldofredi Andrea , López Cristian 
Published: September 2020

AbstractHarrigan and Spekkens (Found Phys 40:125–157, 2010) provided a categorization of quantum ontological models classifying them as$$\psi$$ψ-ontic or$$\psi$$ψ-epistemic if the quantum state$$\psi$$ψdescribes respectively either a physical reality or mere observers’ knowledge. Moreover, they claimed that Einstein—who was a supporter of the statistical interpretation of quantum mechanics—endorsed an epistemic view of$$\psi .$$ψ.In this essay we critically assess such a classification and some of its consequences by proposing a twofold argumentation. Firstly, we show that Harrigan and Spekkens’ categorization implicitly assumes that a complete description of a quantum system (its ontic state,$$\lambda$$λ) only concernssingle,individualsystems instantiatingabsolute,intrinsicproperties. Secondly, we argue that such assumptions conflict with some current interpretations of quantum mechanics, which employ different ontic states as a complete description of quantum systems. In particular, we will show that, since in the statistical interpretation ontic states describe ensembles rather than individuals, such a view cannot be considered$$\psi$$ψ-epistemic. As a consequence, the authors misinterpreted Einstein’s view concerning the nature of the quantum state. Next, we will focus onrelational quantum mechanicsandperspectival quantum mechanics, which in virtue of their relational and perspectival metaphysics employ ontic states$$\lambda$$λdealing with relational properties. We conclude that Harrigan and Spekkens’ categorization is too narrow and entails an inadequate classification of the mentioned interpretations of quantum theory. Hence, any satisfactory classification of quantum ontological models ought to take into account the variations of$$\lambda$$λacross different interpretations of quantum mechanics.
Improved existence for the characteristic initial value problem with the conformal Einstein field equations
Authors: Hilditch David , Valiente Kroon Juan A. , Zhao Peng 
Published: September 2020

AbstractWe adapt Luk’s analysis of the characteristic initial value problem in general relativity to the asymptotic characteristic problem for the conformal Einstein field equations to demonstrate the local existence of solutions in a neighbourhood of the set on which the data are given. In particular, we obtain existence of solutions along a narrow rectangle along null infinity which, in turn, corresponds to an infinite domain in the asymptotic region of the physical spacetime. This result generalises work by Kánnár on the local existence of solutions to the characteristic initial value problem by means of Rendall’s reduction strategy. In analysing the conformal Einstein equations we make use of the Newman–Penrose formalism and a gauge due to J. Stewart.
Attack and Defense Strategies in Cyber War Involving Production and Stockpiling of Zero-Day Cyber Exploits
Authors: Hausken Kjell , Welburn Jonathan W. 
Published: September 2020

AbstractTwo players strike balances between allocating resources for defense and production of zero-day exploits. Production is further allocated into cyberattack or stockpiling. Applying the Cobb Douglas expected utility function for equivalent players, an analytical solution is determined where each player’s expected utility is inverse U shaped in each player’s unit defense cost. More generally, simulations illustrate the impact of varying nine parameter values relative to a benchmark. Increasing a player’s unit costs of defense or development of zero-days benefits the opposing player. Increasing the contest intensities over the two players’ assets causes the players to increase their efforts until their resources are fully exploited and they receive zero expected utility. Decreasing the Cobb Douglas output elasticity for a player’s stockpiling of zero-days causes its attack to increase and its expected utility to eventually reach a maximum, while the opposing player’s expected utility reaches a minimum. Altering the Cobb Douglas output elasticities for a player’s attack or defense contests towards their maxima or minima causes maximum expected utility for both players.
Application of Latent Class Analysis to Identify Subgroups of Children with Autism Spectrum Disorders who Benefit from Social Skills Training
Authors: Dekker Vera , Nauta Maaike H. , Timmerman Marieke E. , Mulder Erik J. , Hoekstra Pieter J. , de Bildt Annelies 
Published: September 2020

AbstractWith Latent Class Analysis applied on data of 98 children with autism spectrum disorder (ASD) (9–12 years; 17 girls) participating in social skills training (SST) in a randomized controlled trial (Dekker et al. 2019), four subgroups were detected, based on social-communicative skills before, and response patterns to training. Two subgroups improved after SST. Characterizing the subgroups based on participant and intervention characteristics showed that improvement was related to lower parent-reported perceived difficulty of social-communicative skills at start, higher verbal ability, younger age and milder symptoms of ASD and anxiety. The lowest performing non-improving subgroup participated more often in SST without parent/teacher involvement, compared to all other subgroups. Response to SST in ASD seems to vary depending on participant characteristics.
Machine Learning Guidance for Connection Tableaux
Authors: Färber Michael , Kaliszyk Cezary , Urban Josef 
Published: September 2020

AbstractConnection calculi allow for very compact implementations of goal-directed proof search. We give an overview of our work related to connection tableaux calculi: first, we show optimised functional implementations of connection tableaux proof search, including a consistent Skolemisation procedure for machine learning. Then, we show two guidance methods based on machine learning, namely reordering of proof steps with Naive Bayesian probabilities, and expansion of a proof search tree with Monte Carlo Tree Search.
Automatic solar cell diagnosis and treatment
Authors: Rodriguez Alvaro , Gonzalez Carlos , Fernandez Andres , Rodriguez Francisco , Delgado Tamara , Bellman Martin 
Published: September 2020

AbstractSolar cells represent one of the most important sources of clean energy in modern societies. Solar cell manufacturing is a delicate process that often introduces defects that reduce cell efficiency or compromise durability. Current inspection systems detect and discard faulty cells, wasting a significant percentage of resources. We introduceCell Doctor, a new inspection system that uses state of the art techniques to locate and classify defects in solar cells and performs a diagnostic and treatment process to isolate or eliminate the defects.Cell Doctoruses a fully automatic process that can be included in a manufacturing line. Incoming solar cells are first moved with a robotic arm to an Electroluminescence diagnostic station, where they are imaged and analysed with a set of Gabor filters, a Principal Component Analysis technique, a Random Forest classifier and different image processing techniques to detect possible defects in the surface of the cell. After the diagnosis, a laser station performs an isolation or cutting process depending on the detected defects. In a final stage, the solar cells are characterised in terms of their I–V Curve and I–V Parameters, in a Solar Simulator station. We validated and testedCell Doctorwith a labelled dataset of images of monocrystalline silicon cells, obtaining an accuracy and recall above 90% forCracks,Area DefectsandFinger interruptions; and precision values of 77% for Finger Interruptions and above 90% forCracksandArea Defects.Which allowsCell Doctorto diagnose and repair solar cells in an industrial environment in a fully automatic way.
Nutrient and dissolved inorganic carbon variability in the North Pacific
Authors: Yasunaka Sayaka , Mitsudera Humio , Whitney Frank , Nakaoka Shin-ichiro 
Published: September 2020

AbstractA compilation of surface water nutrient (phosphate, nitrate, and silicate) and partial pressure of CO2 (pCO2) observations from 1961 to 2016 reveals seasonal and interannual variability in the North Pacific. Nutrients and calculated dissolved inorganic carbon (DIC) reach maximum concentrations in March and minimum in August. Nutrient and DIC variability is in-phase (anti-phase) with changes in the mixed layer depth (sea surface temperature) north of 30 °N, and it is anti-phase (in-phase) with changes in Chl-a north of 40 °N (in 30 °N–40 °N). Seasonal drawdown of nutrients and DIC is larger toward the northwest and shows a local maximum in the boundary region between the subarctic and subtropics. Stoichiometric ratios of seasonal drawdown show that, compared to nitrate, silicate drawdown is large in the northwestern subarctic including the Bering and Okhotsk seas, and drawdown of carbon is larger toward the south. Net community production in mixed layer from March to July is estimated to be more than 6 gC/m2/mo in the boundary region between the subarctic and subtropics, the western subarctic, the Gulf of Alaska, and the Bering Sea. Nutrient and DIC concentrations vary with the Pacific Decadal Oscillation and the North Pacific Gyre Oscillation which cause changes in horizontal advection and vertical mixing. The DIC trend is positive in all analysis area and large in the western subtropics (> 1.0 μmol/l/yr). Averaged over the analysis area, it is increasing by 0.77 ± 0.03 μmol/l/yr (0.75 ± 0.02 μmol/kg/yr).
Hope Mediates the Relation between Income and Subjective Well-Being
Authors: Pleeging Emma , Burger Martijn , van Exel Job 
Published: September 2020

AbstractIn this study, we examine whether the positive effect of income gains on subjective well-being (SWB) can in part be explained by the improved future prospects that are generated by a more solid financial situation. Using three-wave panel data from the US, we inspect the relation between changes in income, hope and SWB using a fixed-effects model. Results show that hope indeed partially mediates the relation between income and SWB, but only for monthly incomes over $1800. Positive expectations, on the other hand, mediate the relation for all income levels. From the two components of hope, agency, the belief that we can achieve our goals, seems to be the strongest mediator. We find no indications that extremely high levels of hope or expectations will harm SWB through disappointment.
Modern Northern Domestic Horses Carry Mitochondrial DNA Similar to Przewalski’s Horse
Authors: Kvist Laura , Niskanen Markku 
Published: September 2020

AbstractSeveral recent studies have suggested past gene flow between the Przewalski’s horse and modern domestic horse and questioned the wild origin of the Przewalski’s horse. Mitochondrial DNA has placed representatives of the Przewalski’s horse into three among the eighteen haplogroups detected from the modern horse. Of these, two haplogroups have so far been found exclusively in the Przewalski’s horse, while the one shared with the domestic horse includes captive individuals that have uncertain pedigrees. We recently found five domestic horse individuals of North European horse breeds to carry a mitochondrial haplogroup that was previously confined only to the Przewalski’s horse. These individuals were sequenced for 6039 bp of mitochondrial DNA and used, together with domestic and Przewalski’s horse sequences presenting all horse haplogroups, to examine the phylogenetic relationships and to date the divergence time between Przewalski’s and domestic horse clusters within this haplogroup. The divergence was dated to have likely occurred about 13,300–11,400 years ago, which coincides with the time of the Younger Dryas.
Is Sexual-Orientation Discrimination a Form of Sex Discrimination?
Authors: Hill Daniel J. 
Published: September 2020

AbstractInBostock v Clayton County(2020) Gorsuch J holds that direct discrimination because of sexual orientation is a form of direct discrimination because of sex. I argue that the same is true under the Equality Act 2010. I consider the arguments of (Finnis, in: Finnis (ed) Intention and identity: collected essays, Oxford University Press, Oxford, 2011) and (Gardner in Oxf J Leg Stud 18(1):167–187, 1998) that “because of”, “on grounds of”, and similar phrases in UK discrimination legislation invoke the state of mind of the discriminator. I apply this point toBull and Bull v Hall and Preddy[2013] arguing that (i) the UK Supreme Court was wrong to find direct discrimination on grounds of sexual orientation, while, (ii), nevertheless, under the Equality Act 2010, that case and similar cases actually involve direct discrimination because of sex, not because of sexual orientation. I conclude by considering some objections, precedents, and implications.
Creating Systems-Level Change to Better Support Expectant and Parenting Young People: A Case Study
Authors: Purington Amanda , Stupp Erica , Sebuharara Divine , Maley Brian , Henderson Sara Birnel , Powers Jane 
Published: September 2020

Abstract
Introduction
Expectant and parenting young people (young parents) require diverse services to support their health, educational success, and family functioning. Rarely can the needs of young parents be met by a single school or service provider. This case study examines how one large school district funded through the pathways to success initiative was able to facilitate systems change to increase young parents’ access to and use of supportive services.

Methods
Data sources include a needs and resources assessment, quarterly reports documenting grantee effort, sustainability plans, social network analysis, and capstone interviews. All data sources were systematically reviewed to identify the existing context prior to the start of the initiative, the changes that resulted from the initiative, and efforts that could potentially be maintained beyond the grant period.

Results
The community context prior to Pathways implementation was one of disconnected services and missed opportunities. The full-time program coordinator hired by the district focused on systems-level change and facilitated connections between organizations. This greater connectivity contributed to increased collaboration with the goal of producing lasting benefits for young parents.

Discussion
Promoting sustainable connections and collaboration at the systems level can help dismantle barriers to service access and benefit young parents.
Using Social Network Analysis to Strengthen Organizational Relationships to Better Serve Expectant and Parenting Young People
Authors: Purington Amanda , Stupp Erica , Welker Dora , Powers Jane , Banikya-Leaseburg Mousumi 
Published: September 2020

Abstract
Introduction
Expectant and parenting young people (young parents) need a range of supports but may have difficulty accessing existing resources. An optimally connected network of organizations can help young parents navigate access to available services. Community organizations participating in the Pathways to Success (Pathways) initiative sought to strengthen their network of support for young parents through social network analysis (SNA) undertaken within an action research framework.

Method
Evaluators and community partners utilized a survey and analysis tool to map and describe the local network of service providers offering resources to young parents. Respondents were asked to characterize their relationship with all other organizations in the network. Following survey analysis, all participants were invited to discuss and interpret the results and plan the next actions to improve the network on behalf of young parents.

Results
Scores described the diversity of organizations in the network, density of connections across the community, degree to which the network was centralized or decentralized, which organizations were central or outliers, frequency of contact, levels of collaboration, and levels of trust. Findings were interpreted with survey participants and used by Pathways staff for action planning to improve their network.

Discussion
SNA clarified complex relationships and set service providers on a path toward optimizing their network. The usefulness of SNA to impact and improve a network approach to supporting young parents is discussed, including lessons learned from this project.
Marker-assisted pyramiding of potato late blight resistance genes Rpi-rzc1 and Rpi-phu1 on di- and tetraploid levels
Authors: Stefańczyk Emil , Plich Jarosław , Janiszewska Marta , Smyda-Dajmund Paulina , Sobkowiak Sylwester , Śliwka Jadwiga 
Published: September 2020

AbstractLate blight is a disease with the biggest economic impact on potato cultivation worldwide. Pyramiding of the resistance genes originating from potato wild relatives is a breeding strategy that has a potential to produce potato cultivars durably resistant to late blight. Growing such cultivars would allow limiting the intensive chemical control of the disease. The goal of this work was to transfer the late blight resistance gene Rpi-rzc1 from Solanum ruiz-ceballosii to the tetraploid level of cultivated potato and to pyramid it with the Rpi-phu1 gene. We obtained two diploid and, through 4x-2x cross, a tetraploid potato population segregating for the Rpi-rzc1 presence, as well as one diploid and one tetraploid population where both genes were introgressed. In total, 754 progeny clones were tested for resistance to late blight in detached leaflet assays. Pathogen isolates avirulent on plants with both genes and virulent on plants with the Rpi-phu1 were used. The selection was assisted by two PCR markers flanking the Rpi-rzc1 gene and a newly designed, highly specific intragenic marker indicating the Rpi-phu1 gene presence. We obtained 26 diploid and 49 tetraploid potato clones with pyramid of both genes that should enhance the durability and spectrum of their late blight resistance and that can be exploited in potato breeding. The specificity of the marker for the Rpi-phu1 gene and the precision of the Rpi-rzc1 mapping were improved in this work.
On robustness of camera identification algorithms
Authors: Bernacki Jarosław 
Published: September 2020

AbstractIn this paper we consider the problem of a privacy threat enabling tracing digital cameras by the analysis of pictures they produced. As thousands of images are processed at a mass scale, the threat may apply to most users of digital cameras. We consider a state-of-the-art algorithm for digital camera identification proposed in Lucas et al. (IEEE Trans Inf Forensics Secur 1(2):205–214, 2006) and discuss strategies that can be used to bypass it, in order to make information about the camera unavailable. It turns out that many natural strategies like Gaussian blur, adding artificial noise or removing pixels’ least significant bit from the image does not prevent the identification of a camera unless a huge loss of image details is suffered. On the other hand, we show a method to bypass the camera identification with a just marginally more complex, yet not intuitive, method namely cropping the image on the edges and resizing to the original size using Lanczos resampling.