bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bone metastases from differentiated thyroid carcinoma: heterogenous tumor response to radioactive Iodine therapy and overall survival
Authors: Jannin Arnaud , Lamartina Livia , Moutarde Coralie , Djennaoui Mehdi , Lion George , Chevalier Benjamin , Vantyghem Marie Christine , Deschamps Frédéric , Hadoux Julien , Baudin Eric , Schlumberger Martin , Leboulleux Sophie , Do Cao Christine 
Published: February 2022

Abstract

Purpose
Bone metastases (BM) from differentiated thyroid carcinoma (DTC) impact negatively the quality of life and the life expectancy of patients. The aim of the study was (a) to evaluate the overall survival (OS) and prognostic factors of OS and (b) to assess predictive factors of complete BM response (C-BM-R) using radioiodine treatment (RAI) either alone or in association with focal treatment modalities.

Methods
A total of 178 consecutive DTC patients harbouring BM, treated between 1989 and 2015, were enrolled in this retrospective study conducted in two tertiary referral centers. OS analysis was performed for the whole cohort, and only the 145 considered non-RAI refractory patients at BM diagnosis were evaluated for C-BM-R following RAI.

Results
The median OS from BM diagnosis was 57 months (IQR: 24–93). In multivariate analysis, OS was significantly reduced in the case of T4 stage, 18FDG uptake by the BM and RAI refractory status. Among the 145 DTC considered non-RAI refractory patients at BM diagnosis, 46 patients (31.7%) achieved a C-BM-R following RAI treatment, either alone in 32 (18%) patients or in association with focal BM treatment modalities in 14. The absence of extra-skeletal distant metastasis and of 18FDG uptake in BM were predictive for C-BM-R.

Conclusions
In nearly one-third of DTC patients with RAI avid BM, RAI alone or in combination with BM focal treatment can induce C-BM-R. The presence of 18FDG uptake in BM is associated with an absence of C-BM-R and with a poor OS. 18FDG PET-CT should be performed when BM is suspected.
Private Function Evaluation with Cards
Authors: Koch Alexander , Walzer Stefan 
Published: February 2022

AbstractCard-based protocols allow to evaluate an arbitrary fixed Boolean function $$f$$
f
on a hidden input to obtain a hidden output, without the executer learning anything about either of the two (e.g., [12]). We explore the case where $$f$$
f
implements a universal function, i.e., $$f$$
f
is given the encoding $$\langle P \rangle$$

⟨
P
⟩

of a program $$P$$
P
and an input $$x$$
x
and computes $$f(\langle P \rangle , x) = P(x)$$

f
(
⟨
P
⟩
,
x
)
=
P
(
x
)

. More concretely, we consider universal circuits, Turing machines, RAM machines, and branching programs, giving secure and conceptually simple card-based protocols in each case. We argue that card-based cryptography can be performed in a setting that is only very weakly interactive, which we call the “surveillance” model. Here, when Alice executes a protocol on the cards, the only task of Bob is to watch that Alice does not illegitimately turn over cards and that she shuffles in a way that nobody knows anything about the total permutation applied to the cards. We believe that because of this very limited interaction, our results can be called program obfuscation. As a tool, we develop a useful sub-protocol $${{\mathrm{\mathsf {sort}}}}_{\varPi }{X} {\uparrow } Y$$

sort
Π

X
↑
Y

that couples the two equal-length sequences $$X, Y$$

X
,
Y

and jointly and obliviously permutes them with the permutation $$\pi \in \varPi$$

π
∈
Π

that lexicographically minimizes $${\pi }(X)$$

π
(
X
)

. We argue that this generalizes ideas present in many existing card-based protocols. In fact, AND, XOR, bit copy [37], coupled rotation shuffles [30] and the “permutation division” protocol of [22] can all be expressed as “coupled sort protocols”.
Estimation methods for stationary Gegenbauer processes
Authors: Hunt Richard , Peiris Shelton , Weber Neville 
Published: February 2022

AbstractThis paper reviews alternative methods for estimation for stationary Gegenbauer processes specifically, as distinct from the more general long memory models. A short set of Monte Carlo simulations is used to compare the accuracy of these methods. The conclusion found is that a Bayesian technique results in the highest accuracy. The paper is completed with an examination of the SILSO Sunspot Number series as collated by the Royal Observatory of Belgium.
Big volcano science: needs and perspectives
Authors: Papale Paolo , Garg Deepak 
Published: February 2022

AbstractVolcano science has been deeply developing during last decades, from a branch of descriptive natural sciences to a highly multi-disciplinary, technologically advanced, quantitative sector of the geosciences. While the progress has been continuous and substantial, the volcanological community still lacks big scientific endeavors comparable in size and objectives to many that characterize other scientific fields. Examples include large infrastructures such as the LHC in Geneva for sub-atomic particle physics or the Hubble telescope for astrophysics, as well as deeply coordinated, highly funded, decadal projects such as the Human Genome Project for life sciences. Here we argue that a similar big science approach will increasingly concern volcano science, and briefly describe three examples of developments in volcanology requiring such an approach, and that we believe will characterize the current decade (2020–2030): the Krafla Magma Testbed initiative; the development of a Global Volcano Simulator; and the emerging relevance of big data in volcano science.
Creative DNA computing: splicing systems for music composition
Authors: De Prisco Roberto , Zaccagnino Rocco 
Published: February 2022

AbstractSplicing systems are a form of DNA computing as they mimic the recombination process among DNA molecules. This work discusses the use of splicing systems to build automatic tools for reproducing human beings’ creativity, in the context of automatic music composition. More specifically, this work describes three general splicing system approaches for automatic music composition, and their application to two specific cases, namely composing 4-voice music and composing Jazz solos in a given style. Examples of music composed by the systems are presented.
Design and evaluation of 5G-based architecture supporting data-driven digital twins updating and matching in seismic monitoring
Authors: Gattulli Vincenzo , Franchi Fabio , Graziosi Fabio , Marotta Andrea , Rinaldi Claudia , Potenza Francesco , Sabatino Umberto Di 
Published: February 2022

AbstractDigital Twins (DT) models are gaining special attention in the management and maintenance of facilities. The quality of data contained in these models may be enhanced by the use of processed information coming from long-term Structural Health Monitoring (SHM). In this case real time processing and updating in systems using sensor networks for SHM need low latency and reliable communication. This paper presents a solution for exploiting DT models for SHM and early warning solutions improvement. The case study scenario resides within the 5G experimentation in the city of L’Aquila and it exploits a highly adaptable sensor board and a 5G Multi-Access Edge Computing architecture.
Declining readability of research on biological invasions over two decades
Authors: Hulme Philip E. , Mclaren-Swift Hazel 
Published: February 2022

AbstractTo prevent and effectively manage the socioeconomic and environmental impacts of invasive non-native species it is essential that the underpinning scientific knowledge is widely disseminated and understood by scientists, the public, and other stakeholders. A key need for the public understanding of science is that technical information is easy to read and interpret. Unfortunately, this is not the case for research addressing biological invasions. Detailed analysis of the readability of research abstracts published over two decades in the leading international journal Biological Invasions revealed that texts were very difficult to read and had become less readable over time. Abstracts were pitched at readers with graduate-level literacy, much higher than the average reading-level of the general public. Authors from countries where English was an official language generated the most complex text. However, the abstracts from authors based in countries where English was not an official language have shown a marked increase in complexity since 2001. This reflected a trend for increasing numbers of words per sentence and more syllables per word and was not related to the increase in numbers of authors of an article. Complex abstracts attracted more citations suggesting scientific peers may be more persuaded by a technically challenging abstract pitched towards a readership with high literacy. Urgent action is required to remedy this problem. Ensuring authors and editors review the readability of the work they publish is a first step but more formal mechanisms such as using structured abstracts and the provision of additional succinct plain-language summaries will more effectively address this problem in the future.
Imagery Rescripting for Reducing Body Image Dissatisfaction: A Randomized Controlled Trial
Authors: Ghaderi Ata , Welch Elisabeth , Zha Cecilia , Holmes Emily A. 
Published: February 2022

Abstract
Background
Brief, innovative, mechanistically-driven psychological treatments for body dissatisfaction are needed. We aimed to explore the occurrence of body-related mental images among females reporting a subjective sense of body dissatisfaction (study 1), and to investigate the potential efficacy of a single session of imagery rescripting (ImRS) to reduce body dissatisfaction (Study 2: pilot; Study 3 randomized controlled trial).

Methods and Results
In study 1 (n = 31), participants reported occurrence of both positive and negative body-related mental imagery. Frequency of body-related mental imagery and negative valence of such images were significantly related to body dissatisfaction. The pilot trial (n = 63) indicated feasibility, whereby ImRS of a distressing body-related mental image significantly reduced the believability, vividness, negative affect and distress of the image within-session and one-week post-session versus an active placebo condition (Expressive writing about body related thoughts and emotions). However, ImRS did not result in significant changes in body dissatisfaction. Study 3 was a randomized controlled trial (n = 113) with 3 conditions—ImRS, Expressive writing, and wait-list control. ImRS resulted in a significant reduction of vividness, controllability and negative affect caused by the image compared to Expressive writing condition, after the intervention. However, there were no significant reductions in body dissatisfaction from baseline to 1-week assessment, nor in post-hoc analyses at the 1-month follow-up. Findings suggest that a single session of imagery rescripting seems to alleviate the negative properties of the image (i.e., has proximal effects as hypothesized in our mechanistic account), but does not bring about a significant change in body dissatisfaction (i.e., transfer downstream to more distal effects).

Conclusions
Given some promising effects of ImRS on negative body-related emotions, but lack of a downstream effect on body dissatisfaction itself, further investigation of the format, dose and focus of ImRS in this context is warranted.
Stories 'with the Characters Reversed': Children's Opinions of Feminist Children's Stories in Early Education
Authors: Martínez-García Lindsay , Rodríguez-Álvarez Marcos , Virgós Sánchez Marta 
Published: February 2022

AbstractThe study presented investigates the understanding of feminist literature by preschool children in a Spanish school. To carry out the research, semi-structured interviews with 65 students were performed, in order to discuss the story,The Paper Bag Princess. The data analysis was conducted under a poststructuralist lens, using the cultural matrix of gender as a tool for analysis. This document collects the results obtained from the following categories of analysis: emphasis on female beauty, discourse of romantic love, comparison with traditional stories (category maintenance work) and alternative discourses of femininity. The findings of the study indicate that boys and girls use two different strategies when coming in contact with feminist tales: comparing the feminist story to the, hitherto, considered ‘correct’ or natural order and correcting every element that challenged the structures of the cultural matrix.
Using data calibration to reconcile outputs from different survey methods in long-term or large-scale studies
Authors: Jones Christopher S. , Duncan David H. , Morris William K. , Robinson Doug , Vesk Peter A. 
Published: February 2022

AbstractUnderstanding the impact of management interventions on the environment over decadal and longer timeframes is urgently required. Longitudinal or large-scale studies with consistent methods are best practice, but more commonly, small datasets with differing methods are used to achieve larger coverage. Changes in methods and interpretation affect our ability to understand data trends through time or across space, so an ability to understand and adjust for such discrepancies between datasets is important for applied ecologists. Calibration or double sampling is the key to unlocking the value from disparate datasets, allowing us to account for the differences between datasets while acknowledging the uncertainties. We use a case study of livestock grazing impacts on riparian vegetation in southeastern Australia to develop a flexible and powerful approach to this problem. Using double sampling, we estimated changes in vegetation attributes over a 12-year period using a pseudo-quantitative visual method as the starting point, and the same technique plus point-intercept survey for the second round. The disparate nature of the datasets produced uncertain estimates of change over time, but accounting for this uncertainty explicitly is precisely the objective and highlights the need to look more closely at this very common problem in environmental management, as well as the potential benefits of the double sampling approach.
An analysis of design strategies for circular economy through life cycle assessment
Authors: Spreafico Christian 
Published: February 2022

AbstractThe goal of pursuing the circular economy (CE) is spreading more and more in industry, also driven by the introduction of new regulations, considerably affecting product design. However, a quantitative and rigorous evaluation of the environmental impacts of the results obtained by different design strategies used to implementing CE is missing in the literature. Those available only evaluate certain aspects of the life cycle of few products, belonging to specific application fields, in a qualitative way or they refer only to the global warming potential. This study provides a quantitative assessment of the environmental impacts reductions arising from the application of some common design strategies for implementing different CE options (e.g. reuse, waste to energy, remanufacturing), by using some standard indicators. The results were obtained by manually analysing 156 selected case studies of comparative life cycle assessment (LCA), extracted from 136 scientific articles. In them, the environmental impacts of design solutions for CE are compared with those of other solutions were wastes are not exploited. The obtained results have been used to evaluate the different design strategies for CE and to hierarchize them based on environmental sustainability of the solutions associated with them. In addition, an economic evaluation of the strategies, based on the life cycle costing methodology and exploiting the data available in the same articles, was also provided. Among the main achievements, it was found that the hierarchy of the CE options, pursued by the design strategies, to improve environmental sustainability is different from that provided by other studies. In addition, the environmental benefits associated with the different CE options strictly depend by the applied design strategies and the considered products.
Graphical abstract
A Tale of Integration? The Migrant Wealth Gap in Austria
Authors: Muckenhuber Mattias , Rehm Miriam , Schnetzer Matthias 
Published: February 2022

AbstractWe investigate how previous generations of migrants and their children integrated into Austrian society, as measured by their wealth ownership. Using individual-level data from the Household Finance and Consumption Survey (HFCS), we document (1) a positive average migrant wealth gap between migrants and natives—that is, migrants owning less wealth than natives, especially in the upper half of the distribution, (2) substantial within-group inequality for migrants, and (3) evidence for catch-up, since second-generation migrants are much more similar to natives in terms of wealth and socio-economic characteristics than first-generation migrants. Using a RIF regression, we confirm an economically significant migrant wealth gap for first-generation migrants after controlling for socio-economic characteristics especially for the upper middle of the distribution, where housing wealth is a particularly relevant asset category. Second-generation migrants’ wealth gap is fully explained by our covariates in the middle of the distribution, whereas at the top where business wealth is more salient, their characteristics predict them to have higher wealth than natives. Decomposing the partial effects of covariates suggests that inheritances have the highest explanatory power for the migrant wealth gap of both first- and second-generation migrants, further buttressing the case for progressive integration in terms of wealth, while the composition of the migrant population, and in particular migrants’ heritage may continue to play a role in their wealth ownership.
A GRASP algorithm with Tabu Search improvement for solving the maximum intersection of k-subsets problem
Authors: Casado Alejandra , Pérez-Peló Sergio , Sánchez-Oro Jesús , Duarte Abraham 
Published: February 2022

AbstractThe selection of individuals with similar characteristics from a given population have always been a matter of interest in several scientific areas: data privacy, genetics, art, among others. This work is focused on the maximum intersection of k-subsets problem (kMIS). This problem tries to find a subset of k individuals with the maximum number of features in common from a given population and a set of relevant features. The research presents a Greedy Randomized Adaptive Search Procedure (GRASP) where the local improvement is replaced by a complete Tabu Search metaheuristic with the aim of further improving the quality of the obtained solutions. Additionally, a novel representation of the solution is considered to reduce the computational effort. The experimental comparison carefully analyzes the contribution of each part of the algorithm to the final results as well as performs a thorough comparison with the state-of-the-art method. Results, supported by non-parametric statistical tests, confirms the superiority of the proposal.
Teacher judgement accuracy of technical abilities in primary education
Authors: Wammes Dannie , Slof Bert , Schot Willemijn , Kester Liesbeth 
Published: February 2022

AbstractAccurate teacher judgements can enhance pupils' learning about science and technology. This study explored primary school teachers' judgements about their pupils' ability to reconstruct an electrical and a mechanical system. The judgement accuracy of most teachers was poor, gender-biased, and underestimation was more common than overestimation. The teachers’ gender or self-efficacy beliefs do not seem to affect their judgement accuracy, whereas greater technical knowledge and teaching experience might be beneficial. The teachers’ judgements were primarily based on their estimation of pupils’ cognitive abilities and learning behaviour, which both had less bearing on pupils’ performance than the teachers had expected. Diagnostic tasks for technical abilities, like the ones used in this study, can be used by primary school teachers working with children aged nine and above to calibrate their judgement accuracy and adapt their teaching to their pupils’ varying levels of prior knowledge. Pupils’ performance on these non-verbal tasks can reveal unexpected abilities.
Comparing ventilation modes by electrical impedance segmentography in ventilated children
Authors: Brandt Jennifer Bettina , Mahlknecht Alex , Werther Tobias , Ullrich Roman , Hermon Michael 
Published: February 2022

AbstractElectrical impedance segmentography offers a new radiation-free possibility of continuous bedside ventilation monitoring. The aim of this study was to evaluate the efficacy and reproducibility of this bedside tool by comparing synchronized intermittent mandatory ventilation (SIMV) with neurally adjusted ventilatory assist (NAVA) in critically-ill children. In this prospective randomized case–control crossover trial in a pediatric intensive care unit of a tertiary center, including eight mechanically-ventilated children, four sequences of two different ventilation modes were consecutively applied. All children were randomized into two groups; starting on NAVA or SIMV. During ventilation, electric impedance segmentography measurements were recorded. The relative difference of vertical impedance between both ventilatory modes was measured (median 0.52, IQR 0–0.87). These differences in left apical lung segments were present during the first (median 0.58, IQR 0–0.89, p = 0.04) and second crossover (median 0.50, IQR 0–0.88, p = 0.05) as well as across total impedance (0.52 IQR 0–0.87; p = 0.002). During NAVA children showed a shift of impedance towards caudal lung segments, compared to SIMV. Electrical impedance segmentography enables dynamic monitoring of transthoracic impedance. The immediate benefit of personalized ventilatory strategies can be seen when using this simple-to-apply bedside tool for measuring lung impedance.
A systematic literature review of how and whether social media data can complement traditional survey data to study public opinion
Authors: Reveilhac Maud , Steinmetz Stephanie , Morselli Davide 
Published: February 2022

AbstractIn this article, we review existing research on the complementarity of social media data and survey data for the study of public opinion. We start by situating our review in the extensive literature (N = 187) about the uses, challenges, and frameworks related to the use of social media for studying public opinion. Based on 187 relevant articles (141 empirical and 46 theoretical) - we identify within the 141 empircal ones six main research approaches concerning the complementarity of both data sources. Results show that the biggest share of the research has focused on how social media can be used to confirm survey findings, especially for election predictions. The main contribution of our review is to detail and classify other growing complementarity approaches, such as comparing both data sources on a given phenomenon, using survey measures as a proxy in social media research, enriching surveys with SMD, recruiting individuals on social media to conduct a second survey phase, and generating new insight on “old” or “under-investigated” topics or theories using SMD. We discuss the advantages and disadvantages associated with each of these approaches in relation to four main research purposes, namely the improvement of validity, sustainability, reliability, and interpretability. We conclude by discussing some limitations of our study and highlighting future paths for research.