bluuebunny/crossref_metadata_2025_split huggingface dataset:
LIGA: a cryptosystem based on the hardness of rank-metric list and interleaved decoding
Authors: Renner Julian , Puchinger Sven , Wachter-Zeh Antonia 
Published: April 2021

AbstractWe propose the new rank-metric code-based cryptosystem which is based on the hardness of list decoding and interleaved decoding of Gabidulin codes. is an improved variant of the Faure–Loidreau (FL) system, which was broken in a structural attack by Gaborit, Otmani, and Talé Kalachi (GOT, 2018). We keep the FL encryption and decryption algorithms, but modify the insecure key generation algorithm. Our crucial observation is that the GOT attack is equivalent to decoding an interleaved Gabidulin code. The new key generation algorithm constructs public keys for which all polynomial-time interleaved decoders fail—hence resists the GOT attack. We also prove that the public-key encryption version of is IND-CPA secure in the standard model and the key encapsulation mechanisms version is IND-CCA2 secure in the random oracle model, both under hardness assumptions of formally defined problems related to list decoding and interleaved decoding of Gabidulin codes. We propose and analyze various exponential-time attacks on these problems, calculate their work factors, and compare the resulting parameters to NIST proposals. The strengths of are short ciphertext sizes and (relatively) small key sizes. Further, guarantees correct decryption and has no decryption failure rate. It is not based on hiding the structure of a code. Since there are efficient and constant-time algorithms for encoding and decoding Gabidulin codes, timing attacks on the encryption and decryption algorithms can be easily prevented.
Making Partnerships Work: Proposing a Model to Support Parent-Practitioner Partnerships in the Early Years
Authors: Kambouri Maria , Wilson Teresa , Pieridou Myria , Quinn Suzanne Flannery , Liu Jie 
Published: April 2021

AbstractBuilding on Froebelian principles that highlight the importance of family and community, this study explored the importance of collaboration and communication as part of a two-way dialogue. The aim was to identify the key characteristics of a model that would encourage interest and commitment to partnerships from both parents and practitioners. The idea of such partnerships has a solid theoretical background and is supported both rhetorically and by legislation by the Department of Education. However, research has shown that practice often falls short of the ideal, due to reasons such as the managerial discourse that constructs parents as potential consumers and the challenges faced when performance is prioritised over creativity. As part of the study, we employed a mixed methods approach and encouraged parents and practitioners to work together by participating at two sessions with families and children. The sessions provided parents and practitioners with space and time to explore the issue of working in ‘partnership’. After careful consideration of ethical issues, data were collected using pre and post-session questionnaires with all participants, as well as face to face interviews with some of them. Findings indicate that both parties need to invest time and recognise that ‘effective partnership’ is a two way process which requires engagement and dialogue to be able to develop meaningful relationships of trust. The findings were used to develop the ‘CAFE' partnership model which incorporates those elements considered important to facilitate the development of partnerships between practitioners and parents. The CAFE model addresses the gap in the literature in terms of unpicking the key features of a partnership approach, as captured through the lived experience of both parents and practitioners. It also contributes to deepening the understanding of the applications of Froebelian principles in contemporary contexts and the ways in which they can encourage high quality early childhood development and education. Future research should explore how this model could be used to evaluate existing practice and guide the development of current partnership policies and approaches.
New Insights and Novel Therapeutic Potentials for Macrophages in Myocardial Infarction
Authors: Zhang Zenglei , Tang Junnan , Cui Xiaolin , Qin Bo , Zhang Jianchao , Zhang Li , Zhang Hui , Liu Gangqiong , Wang Wei , Zhang Jinying 
Published: April 2021

AbstractCardiovascular disease (CVD) has long been the leading cause of death worldwide, and myocardial infarction (MI) accounts for the greatest proportion of CVD. Recent research has revealed that inflammation plays a major role in the pathogenesis of CVD and other manifestations of atherosclerosis. Overwhelming evidence supports the view that macrophages, as the basic cell component of the innate immune system, play a pivotal role in atherosclerosis initiation and progression. Limited but indispensable resident macrophages have been detected in the healthy heart; however, the number of cardiac macrophages significantly increases during cardiac injury. In the early period of initial cardiac damage (e.g., MI), numerous classically activated macrophages (M1) originating from the bone marrow and spleen are rapidly recruited to damaged sites, where they are responsible for cardiac remodeling. After the inflammatory stage, the macrophages shift toward an alternatively activated phenotype (M2) that promotes cardiac repair. In addition, extensive studies have shown the therapeutic potential of macrophages as targets, especially for emerging nanoparticle-mediated drug delivery systems. In the present review, we focused on the role of macrophages in the development and progression of MI, factors regulating macrophage activation and function, and the therapeutic potential of macrophages in MI.
Educational Interventions for Children and Youth with Autism: A 40-Year Perspective
Authors: Odom Samuel L. , Hall Laura J. , Morin Kristi L. , Kraemer Bonnie R. , Hume Kara A. , McIntyre Nancy S. , Nowell Sallie W. , Steinbrenner Jessica R. , Tomaszewski Brianne , Sam Ann M. , DaWalt Leann 
Published: April 2021

AbstractCommemorating the 40 th anniversary of the Diagnostic and Statistical Manual (DSM) III, the purpose of this commentary is to describe school-based and school-relevant interventions and instructional approaches for children and youth with autism that have been developed and employed during that time period. The commentary begins with a brief description of foundational research that provides an historical context. Research themes shaped by science, ethics, social policy, and the changes in the DSM provide an organization for describing the evolution of intervention and instructional practices over the four previous decades. The commentary concludes with a discussion of school-contextual variables that influence implementation and the promise of the “iSciences” for closing the research to practice gap in the future.
Adaptive covariate acquisition for minimizing total cost of classification
Authors: Andrade Daniel , Okajima Yuzuru 
Published: April 2021

AbstractIn some applications, acquiring covariates comes at a cost which is not negligible. For example in the medical domain, in order to classify whether a patient has diabetes or not, measuring glucose tolerance can be expensive. Assuming that the cost of each covariate, and the cost of misclassification can be specified by the user, our goal is to minimize the (expected) total cost of classification, i.e. the cost of misclassification plus the cost of the acquired covariates. We formalize this optimization goal using the (conditional) Bayes risk and describe the optimal solution using a recursive procedure. Since the procedure is computationally infeasible, we consequently introduce two assumptions: (1) the optimal classifier can be represented by a generalized additive model, (2) the optimal sets of covariates are limited to a sequence of sets of increasing size. We show that under these two assumptions, a computationally efficient solution exists. Furthermore, on several medical datasets, we show that the proposed method achieves in most situations the lowest total costs when compared to various previous methods. Finally, we weaken the requirement on the user to specify all misclassification costs by allowing the user to specify the minimally acceptable recall (target recall). Our experiments confirm that the proposed method achieves the target recall while minimizing the false discovery rate and the covariate acquisition costs better than previous methods.
Development of optical MEMS-based micromirror arrays on flexible substrate for curvilinear surfaces
Authors: Amirzada Muhammad Rizwan , Li Qingdang , Hillmer Hartmut 
Published: April 2021

AbstractThis research work is targeting to demonstrate that micromirror arrays can also be fabricated successfully on flexible substrates—not only on glass substrates. The paper reports on the technological data of a successful process on a flexible substrate for curvilinear surfaces. Polyethylene naphthalate substrate was selected for its low cost, strong resistance against chemicals which are used in fabrication process and sufficient optical transmission for the visible and near infrared spectrum. Finally, electrostatic actuation of the fabricated micromirror structures is proven experimentally.
Day-to-day discovery of preprint–publication links
Authors: Cabanac Guillaume , Oikonomidi Theodora , Boutron Isabelle 
Published: April 2021

AbstractPreprints promote the open and fast communication of non-peer reviewed work. Once a preprint is published in a peer-reviewed venue, the preprint server updates its web page: a prominent hyperlink leading to the newly published work is added. Linking preprints to publications is of utmost importance as it provides readers with the latest version of a now certified work. Yet leading preprint servers fail to identify all existing preprint–publication links. This limitation calls for a more thorough approach to this critical information retrieval task: overlooking published evidence translates into partial and even inaccurate systematic reviews on health-related issues, for instance. We designed an algorithm leveraging the Crossref public and free source of bibliographic metadata to comb the literature for preprint–publication links. We tested it on a reference preprint set identified and curated for a living systematic review on interventions for preventing and treating COVID-19 performed by international collaboration: the COVID-NMA initiative (covid-nma.com). The reference set comprised 343 preprints, 121 of which appeared as a publication in a peer-reviewed journal. While the preprint servers identified 39.7% of the preprint–publication links, our linker identified 90.9% of the expected links with no clues taken from the preprint servers. The accuracy of the proposed linker is 91.5% on this reference set, with 90.9% sensitivity and 91.9% specificity. This is a 16.26% increase in accuracy compared to that of preprint servers. We release this software as supplementary material to foster its integration into preprint servers’ workflows and enhance a daily preprint–publication chase that is useful to all readers, including systematic reviewers. This preprint–publication linker currently provides day-to-day updates to the biomedical experts of the COVID-NMA initiative.
The landscape and the multiverse: What’s the problem?
Authors: Read James , Le Bihan Baptiste 
Published: April 2021

AbstractAs a candidate theory of quantum gravity, the popularity of string theory has waxed and waned over the past four decades. One current source of scepticism is that the theory can be used to derive, depending upon the input geometrical assumptions that one makes, a vast range of different quantum field theories, giving rise to the so-called landscape problem. One apparent way to address the landscape problem is to posit the existence of a multiverse; this, however, has in turn drawn heightened attention to questions regarding the empirical testability and predictivity of string theory. We argue first that the landscape problem relies on dubious assumptions and does not motivate a multiverse hypothesis. Nevertheless, we then show that the multiverse hypothesis is scientifically legitimate and could be coupled to string theory for other empirical reasons. Looking at various cosmological approaches, we offer an empirical criterion to assess the scientific status of multiverse hypotheses.
Barad, Bohr, and quantum mechanics
Authors: Faye Jan , Jaksland Rasmus 
Published: April 2021

AbstractThe last decade has seen an increasing number of references to quantum mechanics in the humanities and social sciences. This development has in particular been driven by Karen Barad’s agential realism: a theoretical framework that, based on Niels Bohr’s interpretation of quantum mechanics, aims to inform social theorizing. In dealing with notions such as agency, power, and embodiment as well as the relation between the material and the discursive level, the influence of agential realism in fields such as feminist science studies and posthumanism has been profound. However, no one has hitherto paused to assess agential realism’s proclaimed quantum mechanical origin including its relation to the writings of Niels Bohr. This is the task taken up here. We find that many of the implications that agential realism allegedly derives from a Bohrian interpretation of quantum mechanics dissent from Bohr’s own views and are in conflict with those of other interpretations of quantum mechanics. Agential realism is at best consistent with quantum mechanics and consequently, it does not capture what quantum mechanics in any strict sense implies for social science or any other domain of inquiry. Agential realism may be interesting and thought provoking from the perspective of social theorizing, but it is neither sanctioned by quantum mechanics nor by Bohr’s authority. This conclusion not only holds for agential realism in particular, it also serves as a general warning against the other attempts to use quantum mechanics in social theorizing.
Biochar-templated surface precipitation and inner-sphere complexation effectively removes arsenic from acid mine drainage
Authors: Wang Dongmei , Root Robert A. , Chorover Jon 
Published: April 2021

AbstractTreatment of aqueous leachate from acid mine tailings with pristine biochar (BC) resulted in the removal of more than 90% of the dissolved arsenic with an attendant rapid and sustained pH buffering from 3 to 4. Pine forest waste BC was transformed to a highly effective adsorbent for arsenic remediation of acid mine drainage (AMD) because the dissolved iron induced “activation” of BC through accumulation of highly reactive ferric hydroxide surface sites. Physicochemical properties of the BC surface, and molecular mechanisms of Fe, S, and As phase transfer, were investigated using a multi-method, micro-scale approach (SEM, XRD, FTIR, XANES, EXAFS, and STXM). Co-located carbon and iron analysis with STXM indicated preferential iron neo-precipitates at carboxylic BC surface sites. Iron and arsenic X-ray spectroscopy showed an initial precipitation of ferrihydrite on BC, with concurrent adsorption/coprecipitation of arsenate. The molecular mechanism of arsenic removal involved bidentate, binuclear inner-sphere complexation of arsenate at the surfaces of pioneering ferric precipitates. Nucleation and crystal growth of ferrihydrite and goethite were observed after 1 h of reaction. The high sulfate activity in AMD promoted schwertmannite precipitation beginning at 6 h of reaction. At reaction times beyond 6 h, goethite and schwertmannite accumulated at the expense of ferrihydrite. Results indicate that the highly functionalized surface of BC acts as a scaffolding for the precipitation and activation of positively charged ferric hydroxy(sulf)oxide surface sites from iron-rich AMD, which then complex oxyanion arsenate, effectively removing it from porewaters.
Synchronized Tick Population Oscillations Driven by Host Mobility and Spatially Heterogeneous Developmental Delays Combined
Authors: Zhang Xue , Wu Jianhong 
Published: April 2021

AbstractWe consider a coupled system of delay differential equations for a single-species tick population dynamics, assuming feeding adult ticks are distributed by their hosts in a spatially heterogeneous environment consisting of two patches where egg ticks produced will complete their life cycles with different, normal and diapause, developmental delays. We show that the mobility of adult tick host and the diapause developmental delay combined drive a synchronized oscillation in the total tick populations around a uniquely defined positive equilibrium, and this synchronization makes the oscillatory patterns much simpler in comparison with multi-peak oscillations exhibited in the absence of host mobility.
The role of textbook quality in first graders’ ability to solve quantitative comparisons: a multilevel analysis
Authors: Sievert Henning , van den Ham Ann-Katrin , Heinze Aiso 
Published: April 2021

AbstractStudents need to create mental models for different types of addition and subtraction situations in order to develop a broad and viable understanding of these operations. Although most students succeed when changing or combining sets, situations that demand a quantitative comparison of sets seem considerably more difficult in the first school year. Textbooks represent the most important learning resource for elementary school mathematics teachers. However, research on their impact on students’ knowledge is limited. Hence, we examined textbooks’ role in students’ ability to model quantitative comparisons by analyzing the learning opportunities presented by four German textbooks for Grade 1 and by conducting a secondary analysis of a dataset based on 1513 students from 84 classes that used one of these textbooks. The results revealed differences in the textbooks’ topic-specific instructional quality as well as a significant relation between this quality and student achievement in quantitative comparisons.
The Male Gaze or Male Gays? From Romance to Bromance through Performances of Gender and Sexuality by two of Love Island’s Favourite Characters
Authors: Silverio Sergio A. , Wilkinson Catherine , Wilkinson Samantha 
Published: April 2021

AbstractThis paper draws on two favourite characters from British reality television show,Love Island2018: Jack Fincham, a former stationery sales manager, and Alex George, an Accident & Emergency [A&E] doctor, to explore how heterosexual norms are constructed and challenged. We study the romantic on-screen relationships these characters have with the female contestants, and between the two male characters themselves through the notion of ‘bromance’. Through a textual analysis of the spoken words and physical interactions between characters in episodes forming the fourth series ofLove Islandand analysis of social media posts and articles in popular press outlets, we use the notion of gender performativity to explore how these characters perform both hegemonic and, what we argue is, ‘threatened’ masculinity. We use the ‘Male Gaze’ to methodologically lens the performances by characters and their romantic interactions on the television show. In particular, we focus on Jack and Alex’s budding relationship and the condemning of this relationship by the public amid Alex’s termination of his romantic relationship. The decision by Alex to end this relationship led to many viewers questioning his sexuality, with specific reference to his adoration for Jack. Whilst broadly, this paper contributes to debates on the sociological potential of reality television shows, such asLove Island, its specific contribution is to a small, but growing body of international scholarship on homosocial relationships and male love stories in television and film. With this paper, we also contribute towards redressing the marginalization of women within the study of bromance.
HLFC-optimized retrofit aircraft design of a medium-range reference configuration within the AVACON project
Authors: Effing Tim , Schültke Florian , Stumpf Eike 
Published: April 2021

AbstractThis paper presents an approach for the design of a retrofit aircraft with integrated, optimized hybrid laminar flow control (HLFC). The basis for this research is a medium-range reference configuration derived within the German LuFo project “Advanced Aircraft Concepts” (AVACON). For the aerodynamics, an in-house-developed process chain for flow analysis is used, which requires airfoil shapes at specific sections of a known wing geometry. To improve the accuracy, pressure distributions from the 2D flow solver MSES are first aligned to high-fidelity 3D results from DLR’s TAU code for extracted airfoils. This is done by varying parameters of the transformation methods used. Subsequently, the required suction distributions are optimized based on pre-defined criteria; these include not only the aerodynamic effects but also the needed mass flows. After optimizing the HLFC system architecture concerning mass and power offtakes, a retrofit aircraft is designed with the in-house “Multidisciplinary Integrated Aircraft Design and Optimization” (MICADO) environment. Compared to the turbulent baseline, the promising potential of the HLFC technology is demonstrated. In addition, the actual benefit of the optimization approach is evaluated in the context of overall preliminary aircraft design. This is done by redesigning the aircraft with other suction distributions and HLFC system architectures. Although it is shown that the approach leads to an overall optimum, the optimization benefit remains small. This indicates the limits of the HLFC technology as a pure add-on for initially turbulent aircraft and the need for the application of new laminar wing design methods to tap the full potential of HLFC.
Counterfactual attribute-based visual explanations for classification
Authors: Gulshad Sadaf , Smeulders Arnold 
Published: April 2021

AbstractIn this paper, our aim is to provide human understandable intuitive factual and counterfactual explanations for the decisions of neural networks. Humans tend to reinforce their decisions by providing attributes and counterattributes. Hence, in this work, we utilize attributes as well as examples to provide explanations. In order to provide counterexplanations we make use of directed perturbations to arrive at the counterclass attribute values in doing so, we explain what is present and what is absent in the original image. We evaluate our method when images are misclassified into closer counterclasses as well as when misclassified into completely different counterclasses. We conducted experiments on both finegrained as well as coarsegrained datasets. We verified our attribute-based explanations method both quantitatively and qualitatively and showed that attributes provide discriminating and human understandable explanations for both standard as well as robust networks.
On prime powers in linear recurrence sequences
Authors: Odjoumani Japhet , Ziegler Volker 
Published: April 2021

AbstractIn this paper we consider the Diophantine equation $$U_n=p^x$$

U
n

=

p
x

where $$U_n$$

U
n

is a linear recurrence sequence, p is a prime number, and x is a positive integer. Under some technical hypotheses on $$U_n$$

U
n

, we show that, for any p outside of an effectively computable finite set of prime numbers, there exists at most one solution (n, x) to that Diophantine equation. We compute this exceptional set for the Tribonacci sequence and for the Lucas sequence plus one.