bluuebunny/crossref_metadata_2025_split huggingface dataset:
Methacrylated gellan gum hydrogel: a smart tool to face complex problems in the cleaning of paper materials
Authors: Severini Leonardo , Tavagnacco Letizia , Angelini Roberta , Franco Silvia , Bertoldo Monica , Calosi Matteo , Micheli Laura , Sennato Simona , Chiessi Ester , Ruzicka Barbara , Missori Mauro , Mazzuca Claudia , Zaccarelli Emanuela 
Published: September 2023

AbstractOne of the main challenges in the preservation of paper materials is the development of compatible and eco-friendly cleaning systems suitable for the wet removal of hydrophobic, aged compounds, such as greasy materials or synthetic adhesives, whose presence enhances paper degradation and worsens its optical features. To avoid the use of organic solvents that can be potentially harmful to operators, in this work we propose a new water-based gel obtained by chemical modification of gellan gum gel, a well-known paper cleaning hydrogel. With the aim of obtaining a cleaning system that is able to interact and adsorb not only hydrophilic cellulose degradation byproducts, but also greasy materials and synthetic adhesives, methacrylation has been applied on gellan gum. First, the chemical modification process of gellan gum has been monitored by means of NMR and ATR-FTIR spectroscopy. Then, the mechanical and physical–chemical properties of the resulting gel have been evaluated by using rheological, AFM, and wettability measurements. Finally, the compatibility and cleaning efficiency of the newly synthetized gel have been tested on paper with different age (from eighteenth and twentieth centuries) and composition by means of a multi-technique framework consisting of spectroscopic, chromatographic, SEM, colorimetric and pH measurements. This work shows a first interesting step towards the development of single component paper cleaning system, easy to use, for the removal of both cellulose hydrophilic degradation products and hydrophobic compounds from different paper typologies.
Organizational life-cycle analysis of corporate offending: insights into how changes in business cycles interact with regulatory oversight to shape compliance and violations
Authors: Wu Yunmei , van Rooij Benjamin , Kluin Marieke 
Published: September 2023

AbstractThis paper showcases an organizational life-cycle analysis of corporate offending behavior in small businesses. It analyzes two small food and hospitality firms in China, drawing on deep ethnographic data collected during three years of fieldwork. The paper investigates these two businesses as they go through three phases: pre-existence, existence, and survival. The study shows that organizational life-course analysis is important for understanding the development and root causes of organizational offending. It finds that offending evolves alongside the development of the organization. It shows that an organizational life-cycle analysis should focus not just on changes in the corporation itself, but also on how the regulatory context changes over the course of the organization’s development and maturing. Stages in the business cycle coincide with changes in regulatory encounters, and this shapes how corporations view what regulators expect of them and the extent to which they can violate such expectations. This points to a broader form of life-course analysis. It urges the field to moves beyond an analysis of changes in the business to also study the how such changes coincide with changes in the regulatory frameworks that are supposed to monitor and reduce offending.
Statistical inference and effect measures in abstracts of randomized controlled trials, 1975–2021. A systematic review
Authors: Stang Andreas , Rothman Kenneth J 
Published: September 2023

Abstract
Objective
To examine the time trend of statistical inference, statistical reporting style of results, and effect measures from the abstracts of randomized controlled trials (RCTs).

Study desgin and settings
We downloaded 385,867 PubMed abstracts of RCTs from 1975 to 2021. We used text-mining to detect reporting of statistical inference (p-values, confidence intervals, significance terminology), statistical reporting style of results, and effect measures for binary outcomes, including time-to-event measures. We validated the text mining algorithms by random samples of abstracts.

Results
A total of 320 676 abstracts contained statistical inference. The percentage of abstracts including statistical inference increased from 65% (1975) to 87% (2006) and then decreased slightly. From 1975 to 1990, the sole reporting of language regarding statistical significance was predominant. Since 1990, reporting of p-values without confidence intervals has been the most common reporting style. Reporting of confidence intervals increased from 0.5% (1975) to 29% (2021). The two most common effect measures for binary outcomes were hazard ratios and odds ratios. Number needed to treat and number needed to harm are reported in less than 5% of abstracts with binary endpoints.

Conclusions
Reporting of statistical inference in abstracts of RCTs has increased over time. Increasingly, p-values and confidence intervals are reported rather than just mentioning the presence of “statistical significance”. The reporting of odds ratios comes with the liability that the untrained reader will interpret them as risk ratios, which is often not justified, especially in RCTs.
How are Autistic People Involved in the Design of Extended Reality Technologies? A Systematic Literature Review
Authors: Newbutt Nigel , Glaser Noah , Francois Marc Sonley , Schmidt Matthew , Cobb Sue 
Published: September 2023

AbstractThe primary aim of this systematic review is to investigate the inclusion of autistic individuals in the design process of immersive technologies. This study follows the preferred reporting items for systematic reviews and meta-analyses standards for systematic literature reviews. To ensure the research questions and subsequent stages of the review incorporate pertinent parameters, the problem, interest, context framework has also been employed. Findings highlight that, while early proponents of immersive technology emphasized the importance of user involvement in design of new technology, immaturity of the technology often limited the implementation of direct user input to the design process. Nonetheless, analysis of the literature published between 2002–2022 identified 20 studies in which substantial influence of autistic individuals and stakeholders was found in the design process of immersive technologies. The roles of autistic individuals varied from active co-designers and co-creators to essential contributors in refining prototypes and providing critical feedback, ensuring the final products align with their needs and preferences. Results underscore the need to align research and design of immersive technologies more closely with the priorities and preferences of autistic individuals. Further is needed regarding actively involving autistic individuals in the design and implementation of immersive technology applications. On this basis, we maintain that more inclusive and effective deployment of immersive technologies is needed in order to ensure that resultant technologies are fit for purpose and address the actual needs of the autistic community.
Feasibility and efficacy of a novel size adjustable cryoballoon for ablation of atrial fibrillation
Authors: Frommeyer Gerrit , Ellermann Christian , Wolfes Julian , Lange Philipp S. , Güner Fatih , Eckardt Lars 
Published: September 2023

AbstractThe aim of the present case series was to characterize the feasibility of a novel size adjustable cryoballoon system (PolarX Fit, Boston Scientific, Marlborough, MA, USA). This cryoballoon catheter can be inflated to two different diameters (28 mm and 31 mm) within the same procedure allowing vein adapted PVI. In summary, the novel size adjustable cryoballoon shows similar characteristics as the established versions. The intraprocedural flexibility of balloon size led to employment of the larger variant in the majority of freeze applications. Of note, in all but one procedure, both sizes were employed to ensure optimal occlusion for all veins. This initial series suggests that the size adjustable balloon offers more flexibility of obtain optimal occlusions in particular, in challenging anatomies, including common pulmonary vein ostia.
Subjective Well-Being and Populist Voting in the Netherlands
Authors: Burger Martijn J. , Eiselt Susanna 
Published: September 2023

AbstractThis study analyzes whether subjective well-being can explain the populist vote in the Netherlands. Using data on voting intention and subjective well-being for over 7700 individuals from 2008 to 2019—a period during which populist parties became well-established in the Netherlands—we estimate logit and multinomial logit random effects regressions. We find evidence of an association between decreased subjective well-being and the probability to vote for a populist party that goes beyond changes in dissatisfaction with society—lack of confidence in parliament, democracy and the economy—and ideological orientation. At the same time, we find no evidence for a relationship between subjective well-being and voting for other non-incumbent parties other than populist parties.
An Approximation Algorithm for Optimal Piecewise Linear Interpolations of Bounded Variable Products
Authors: Bärmann Andreas , Burlacu Robert , Hager Lukas , Kutzer Katja 
Published: September 2023

AbstractWe investigate the optimal piecewise linear interpolation of the bivariate product xy over rectangular domains. More precisely, our aim is to minimize the number of simplices in the triangulation underlying the interpolation, while respecting a prescribed approximation error. First, we show how to construct optimal triangulations consisting of up to five simplices. Using these as building blocks, we construct a triangulation scheme called crossing swords that requires at most "Equation missing"- times the number of simplices in any optimal triangulation. In other words, we derive an approximation algorithm for the optimal triangulation problem. We also show that crossing swords yields optimal triangulations in the case that each simplex has at least one axis-parallel edge. Furthermore, we present approximation guarantees for other well-known triangulation schemes, namely for the red refinement and longest-edge bisection strategies as well as for a generalized version of K1-triangulations. Thereby, we are able to show that our novel approach dominates previous triangulation schemes from the literature, which is underlined by illustrative numerical examples.
Thermal, mechanical and electrical performance of structural epoxy resins filled with carbon nanofibers
Authors: Guadagno Liberata , Naddeo Carlo , Raimondo Marialuigia 
Published: September 2023

AbstractCarbon nanofibers (CNFs) were heat-treated at 1100 °C (CNF1100) and 2500 °C (CNF2500), respectively, and embedded as fillers at different mass percentages into an epoxy mixture. The paper aims at evaluating, through a comparison between the two different types of resulting nanocomposites, the influence of the CNF heat treatment on the thermal, mechanical, and electrical performance of the formulated samples. Thermogravimetric analysis (TGA) showed oxidative stability in the air of CNF2500 approximately 200 °C higher than the CNF1100 ones. The first oxidation stage of the resins embedding the two typologies of CNFs falls between 380 and 480 °C. This means that the temperature of the heat treatment of the nanofiller does not influence the temperature at which the thermodegradation of the nanocomposites starts. Differential Scanning Calorimetry (DSC) data show that the highest degree of cure (DC) was recorded for the epoxy samples filled with CNF2500. CNF thermal treatment increases the direct current (dc) conductivity of the nanocomposite by 3 orders of magnitude around the electrical percolation threshold (EPT) and increases the storage modulus of the CNF2500-based resins up to 60 °C compared with the unfilled resin. The peculiar wall structure of CNF1100 determines a further slight enhancement. Tunneling Atomic Force Microscopy (TUNA) reveals that the CNFs are evenly distributed on the nanodomains showing higher electric current values for samples loaded with CNF2500.
The effect of the local environment on child nutritional outcomes: how does seasonality relate to wasting amongst children under 5 in south-west coastal Bangladesh?
Authors: Wolfle Alice , Channon Andrew Amos 
Published: September 2023

AbstractThe impact of short-term environmental changes on child nutritional status is not constant within populations. In many countries, the seasons are closely linked with many factors that are known to affect nutritional outcomes, such as food consumption, crop harvests, employment opportunities and illness. With extreme seasonal variation becoming more common, understanding how seasonality is related to child nutritional outcomes is vital. This study will explore spatial and temporal variation and determinants for acute malnutrition in a coastal river delta in south-west Bangladesh over the period of a year. Using a rural longitudinal survey, conducted in 2014–15 with 3 survey waves, wasting amongst children under 5 was studied. Spatial variation was analysed through ‘socio-ecological systems’, which capture interactions between ecosystems, livelihoods and populations. Wasting prevalence varied from 18.2% in the monsoon season to 8.7% post-major rice harvest (Aman). Seasons did not relate to wasting consistently over socio-ecological systems, with some systems showing greater variability over time, highlighting distinct seasonal dynamics in nutritional status. Wealthier socio-ecological systems had lower wasting generally, as expected, with greater livelihood diversification opportunities and strategies to smooth consumption. Nutrition interventions must consider seasonal peaks in acute malnutrition, as well as the environmental context when implementing programmes to maximise effectiveness. With increasing variability in seasonal changes, inequalities in the impact of season must be accounted for in health promotion activities. Furthermore, timing and season of survey implementation is an important factor to be accounted for in nutrition research, especially when comparing between two cross-sectional surveys.
Belief-independence and (robust) strategy-proofness
Authors: Müller Michael 
Published: September 2023

AbstractAn important appeal of strategy-proofness is the robustness that it implies. Under a strategy-proof voting rule, every individual has an optimal strategy independently of the behavior of all other voters, namely truth-telling. In particular, optimal play is robust with respect to the beliefs voters may have about the type and the behavior of the other voters. Following Blin and Satterthwaite (Economet J Economet Soc 45(4):881–888, 1977), we call this logically weaker property “belief-independence.” In this paper, we give a number of examples of voting rules that are belief-independent but not strategy-proof. However, we also show that belief-independence implies strategy-proofness under a few natural additional conditions. The notion of belief-independence naturally leads to a the strengthening of strategy-proofness to “robust” strategy-proofness which requires that no voter whose true preference may come from a restricted domain can benefit by submitting any unrestricted preference ordering given any unrestricted preference profile for all other voters. There are examples of strategy-proof voting rules (on a restricted domain) that are not robustly strategy-proof, but under natural additional conditions the two properties are shown to be equivalent.
DarSIA: An Open-Source Python Toolbox for Two-Scale Image Processing of Dynamics in Porous Media
Authors: Nordbotten Jan Martin , Benali Benyamine , Both Jakub Wiktor , Brattekås Bergit , Storvik Erlend , Fernø Martin A. 
Published: September 2023

AbstractUnderstanding porous media flow is inherently a multi-scale challenge, where at the core lies the aggregation of pore-level processes to a continuum, or Darcy-scale, description. This challenge is directly mirrored in image processing, where pore-scale grains and interfaces may be clearly visible in the image, yet continuous Darcy-scale parameters may be what are desirable to quantify. Classical image processing is poorly adapted to this setting, as most techniques do not explicitly utilize the fact that the image contains explicit physical processes. Here, we extend classical image processing concepts to what we define as “physical images” of porous materials and processes within them. This is realized through the development of a new open-source image analysis toolbox specifically adapted to time-series of images of porous materials.
Gesturing in plain sight: dialogical enactments of sustainable futures as being and doing in the world
Authors: Colucci-Gray Laura 
Published: September 2023

AbstractAddressing the critical question posed by Gudrun Jonsdottir and Anne Kristine Byhring who are asking what place for a common future in the science classroom, this paper focuses on and expands on the construct of dialogical space. Not simply as an abstract concept to describe the presence of divergent ideas or the exchange of idioms, but a space filled with metaphors and material artefacts that exist in the world. On this basis, science education takes seriously the affordances of sensorial perception in space, as physical and material doings, arising from and deeply concerned with the lived experiences of people. By making visible the material relations that give life to human experience, and by giving life to different imaginations, science education can thus become profoundly dialogical: turning away from the expectation of sameness, it houses in itself the invitation of taking authorship and to give form, that being a narrative, a personal journey, or a different way of looking at the world. This is what I call gesturing in plain sight, a science education that critically engages with material artefacts and their relations; one that inhabits the realm of the symbolic and the experiential, and one that speaks to sustainable futures in general, repurposing and reconceiving the work of science education in particular.
Public Wrongs and Power Relations in Non-Democratic & Illiberal Polities
Authors: Hanafy Hend 
Published: September 2023

AbstractOne of the influential contributions to criminalisation theories is Duff’s work on public wrongs, which offers a thin master principle of criminalisation, proposing that we have a reason to criminalise a type of conduct if it constitutes a public wrong; one that violates a polity’s civil order and forms part of that polity’s proper business. The nature of the civil order, the scope of its proper business, and the distinction between the public and private realms of wrongs are context-relative to each polity, structured by their legal, institutional, and informal values and ways of life. Such a context-relative view led to problematic criminalisation examples raised by Duff and his critics. This article engages more fully with the relativism of the civil order and public wrongs in non-democratic and illiberal contexts. It draws on examples such as Saudi Arabi and Iran, and Beetham’s work on the legitimation of power to argue that conceptualising the civil order as an undifferentiated whole that represents a polity’s chosen way of life overlooks the ways in which the civil order’s values and practices are shaped by relations of power and exclusion rules and processes. This, in turn, exposes the theory to the risk of mirroring and legitimising unequal relations of power and impeding efforts to change them. This is also due to the theory’s lack of proper normative guidance on the legitimacy of criminalisation. The potential commitment to – instead of a preference for – democracy and guarantees of equality and freedoms might help strengthen the theory normatively, but it is insufficient to guard against the raised problems.
Geodesics of norms on the contactomorphisms group of $${\mathbb {R}}^{2n}\times S^1$$
Authors: Arlove Pierre-Alexandre 
Published: September 2023

AbstractWe prove that some paths of contactomorphisms of$${\mathbb {R}}^{2n}\times S^1$$R2n×S1endowed with its standard contact structure are geodesics for different norms defined on the identity component of the group of compactly supported contactomorphisms and its universal cover. We characterize these geodesics by giving conditions on the Hamiltonian functions that generate them. For every norm considered we show that the norm of a contactomorphism that is the time-one of such a geodesic can be expressed in terms of the maximum of the absolute value of the corresponding Hamiltonian function. In particular we recover the fact that these norms are unbounded.
Deep Learning Approaches Applied to Image Classification of Renal Tumors: A Systematic Review
Authors: Amador Sandra , Beuschlein Felix , Chauhan Vedant , Favier Judith , Gil David , Greenwood Phillip , de Krijger R. R. , Kroiss Matthias , Ortuño-Miquel Samanta , Patocs Attila , Stell Anthony , Walch Axel 
Published: September 2023

AbstractRenal cancer is one of the ten most common cancers in the population that affects 65,000 new patients a year. Nowadays, to predict pathologies or classify tumors, deep learning (DL) methods are effective in addition to extracting high-performance features and dealing with segmentation tasks. This review has focused on the different studies related to the application of DL techniques for the detection or segmentation of renal tumors in patients. From the bibliographic search carried out, a total of 33 records were identified in Scopus, PubMed and Web of Science. The results derived from the systematic review give a detailed description of the research objectives, the types of images used for analysis, the data sets used, whether the database used is public or private, and the number of patients involved in the studies. The first paper where DL is applied compared to other types of tumors was in 2019 which is relatively recent. Public collection and sharing of data sets are of utmost importance to increase research in this field as many studies use private databases. We can conclude that future research will identify many benefits, such as unnecessary incisions for patients and more accurate diagnoses. As research in this field grows, the amount of open data is expected to increase.