bluuebunny/crossref_metadata_2025_split huggingface dataset:
Financing climate justice in the European Union and China: common mechanisms, different perspectives
Authors: Minas Stephen 
Published: December 2021

AbstractClimate justice is a concept with many different and competing interpretations. It has salience at intra-country, inter-country and intergenerational levels of climate politics. While inter-country climate justice has long been on the agenda of United Nations climate negotiations, the intra-country and intergenerational aspects of climate justice have assumed new prominence in many countries in recent years, as the economic consequences of mitigation became felt and transnational activism highlighted youth concerns. The diverse elements of and approaches to climate justice have this in common: realising them requires massive financial interventions and reforms. This article examines the still emerging frameworks to finance climate justice in two of the jurisdictions most important to the global response to climate change: the European Union and the People’s Republic of China. The EU and China have in common that they are both on the front line of financial innovation to respond to climate change. They are utilising similar tools of systemic financial intervention in order to transition financing to climate-friendly investment, in the first case domestically, but with clear implications for global financial markets. However, the EU and China are utilising climate financing mechanisms in the context of very different prevailing perspectives on climate justice. This article interrogates the relationship between these different perspectives on climate justice and the distribution, scale and pace of climate finance. The article also observes that while the EU incorporated climate justice considerations in its economic responses to the COVID-19 pandemic with a recovery package prioritising climate action, China did not take the opportunity to foster a ‘green recovery’.
Antecedents for blockchain technology-enabled sustainable agriculture supply chain
Authors: Nayal Kirti , Raut Rakesh D. , Narkhede Balkrishna E. , Priyadarshinee Pragati , Panchal Gajanan B. , Gedam Vidyadhar V. 
Published: December 2021

AbstractBlockchain can solve the problems that the agriculture supply chain (ASC) is facing to achieve sustainable growth. In a nation like India, blockchain application in the supply chain is still new; therefore, supply chain players need a better understanding and awareness of blockchain through valuable insights. This article aims to study the mediating role of blockchain technology adoption (BLCT) for sustainable supply chain performance (SSCP). This study investigates the influence of numerous factors such as green and lean practices, supply chain integration, supply chain risk, performance expectancy, top management support, cost, internal and external environmental conditions, regulatory support, and innovation capability on BLCT adoption. A sample of 316 respondents from Indian ASC industries was collected, and structural equation modeling (SEM) was used. This study's outcomes show that green and lean practices, supply chain integration, supply chain risks, internal and external conditions, regulatory support, innovation capability, and cost positively influence BLCT adoption. Moreover, BLCT positively influences sustainable agriculture supply chain performance. This article is valuable for policymakers, managers, service providers, researchers, and academicians to understand the role of factors in influencing BLCT and BLCT's role in improving sustainable supply chain performance (SSCP).
Characterization of steel billet scales generated during the continuous casting process in SIDERPERU steel plant
Authors: Borja-Castro L. E. , Bustamante Dominguez A. , Valerio-Cuadros M. I. , Valencia-Bedregal R. A. , Cabrera-Tinoco H. A. , Espinoza Suarez S. M. , Kargin J. , Moreno N. O. , Barnes C. H. W. , Valladares L. De Los Santos 
Published: December 2021

AbstractTons of waste is produced during iron steel’s industrial production, creating environmental pollution. This work aims to characterize the steel scale formed on the billet surface during the last step of steel production in the SIDERPERU steel plant. Scanning Electron Microscopy (SEM) shows stacked layers one above the other on steel billets scales surface. Energy Dispersive X-ray (EDX) and X-ray Fluorescence (XRF) reveal the high content of Fe and O, with Ca, Si, Mn, and Cr as minority elemental compounds. X-ray Diffraction (XRD) shows FeO, α-Fe2O3 and Fe3O4 as crystallographic phases. Magnetometry reveals Verwey transition and paramagnetic signals that screen the Morin transition. Mössbauer Spectroscopy at room temperature displays magnetic and non-magnetic parts. The non-magnetic part has the hyperfine parameters corresponding to predominant nonstoichiometric wustite. Octahedral (Fe+2/Fe3+) and tetrahedral Fe+3 hyperfine fields of 46.0 and 49.4 T values respectively are associated to nonstoichiometric magnetite and another sextet with a hyperfine field of 52.0 T is related to hematite.
Oviposition behaviour and emergence through time of the small blue butterfly (Cupido minimus) in a nature reserve in Bedfordshire, UK
Authors: Ashe-Jepson Esme , Bladon Andrew J. , Herbert Greg , Hitchcock Gwen E. , Knock Richard , Lucas Colin B. H. , Luke Sarah H. , Turner Edgar C. 
Published: December 2021

AbstractAbstractClimate change affects butterflies in many ways, influencing the timing of emergence and reproduction, habitat preferences, and behaviour. The small blue (Cupido minimusFuessley, 1775) is highly specialised in its host plant requirements, feeding on the seeds of a single species, kidney vetch (Anthyllis vulneraria), on which the larvae occur singly to avoid cannibalism. The butterfly is likely to be vulnerable to temperature-related changes in oviposition, adult emergence, and host plant flowering times, and is, therefore, a good model species for investigating climate change-related impacts. Using 26 years of data from the national UK Butterfly Monitoring Scheme (1993–2019) from one nature reserve, and 4 years of targeted egg searches (2006, 2007, 2008, 2020) from three reserves in Bedfordshire, UK, we investigated the effects of local temperature on small blue emergence date and total abundance, whether flowerhead or local environmental characteristics predicted small blue oviposition behaviour, and whether this changed between years. Small blue adults emerged on earlier dates over time, and earlier in years with higher maximum February temperatures. Total adult abundance was not predicted by monthly temperatures or total abundance in the previous year. Oviposition behaviour was broadly consistent across years, with egg presence more likely and egg abundance higher on kidney vetch flowerheads that were taller than the surrounding vegetation, and surrounded by taller vegetation and fewer mature flowerheads. The effect of solar radiation differed between years, with a negative effect on the probability of egg presence in 2007 and 2008, but a positive effect in 2020. Egg abundance per flowerhead was highly variable between years, with 2006 having four times more eggs per flowerhead than other years. This was likely driven by high adult abundance in 2006, which could have increased competition for flowerheads.Implications for insect conservationOur results indicate that management for greater availability of taller kidney vetch amongst taller vegetation would encourage small blue oviposition on a greater number of flowerheads, providing a possible means of reducing competition and increasing larval survival, and that this would be effective despite variation in adult abundance between years. The high level of competition we observed in the year with the highest adult abundance indicates that higher numbers of host plants should be encouraged to reduce competition and larval cannibalism in peak years, increasing the likelihood of long-term population persistence and growth.
Phenomena-centered Text Analysis (PTA): a new approach to foster the qualitative paradigm in text analysis
Authors: Krikser Thomas , Jahnke Benedikt 
Published: December 2021

AbstractContent or text analysis is one of the most common evaluation methods employed in qualitative research. Despite its wide application, however, a clear structure of how such evaluation should be conducted is often lacking due to the complexity of qualitative data. As a consequence, highly differentiated category systems with small-step subdivisions of categories and sub-categories are often used, leading to a loss of context both among categories and for the content as a whole. The aim of this paper is to describe the Phenomena-centered Text Analysis (PTA) as a novel form of qualitative text analysis, which takes these shortcomings into account by focusing on text-inherent phenomena. These phenomena are identified in two preceding quantitative analysis steps that identifying overlapping coding for subsequently qualitative analysis. We explain the structured code- and context-based approach of this new method and demonstrate its application with an empirical example. The PTA contributes to an increasing demand of qualitative methods especially for small-scale projects that need a structured kind of qualitative data analysis.
Finite-sample properties of estimators for first and second order autoregressive processes
Authors: Sørbye Sigrunn H. , Nicolau Pedro G. , Rue Håvard 
Published: December 2021

AbstractThe class of autoregressive (AR) processes is extensively used to model temporal dependence in observed time series. Such models are easily available and routinely fitted using freely available statistical software like . A potential problem is that commonly applied estimators for the coefficients of AR processes are severely biased when the time series are short. This paper studies the finite-sample properties of well-known estimators for the coefficients of stationary AR(1) and AR(2) processes and provides bias-corrected versions of these estimators which are quick and easy to apply. The new estimators are constructed by modeling the relationship between the true and originally estimated AR coefficients using weighted orthogonal polynomial regression, taking the sampling distribution of the original estimators into account. The finite-sample distributions of the new bias-corrected estimators are approximated using transformations of skew-normal densities, combined with a Gaussian copula approximation in the AR(2) case. The properties of the new estimators are demonstrated by simulations and in the analysis of a real ecological data set. The estimators are easily available in our accompanying -package for AR(1) and AR(2) processes of length 10–50, both giving bias-corrected coefficient estimates and corresponding confidence intervals.
Estimates of Generalized Hessians for Optimal Value Functions in Mathematical Programming
Authors: Zemkoho Alain B. 
Published: December 2021

AbstractWe consider the optimal value function of a parametric optimization problem. A large number of publications have been dedicated to the study of continuity and differentiability properties of the function. However, the differentiability aspect of works in the current literature has mostly been limited to first order analysis, with focus on estimates of its directional derivatives and subdifferentials, given that the function is typically nonsmooth. With the progress made in the last two to three decades in major subfields of optimization such as robust, minmax, semi-infinite and bilevel optimization, and their connection to the optimal value function, there is a need for a second order analysis of the generalized differentiability properties of this function. This could enable the development of robust solution algorithms, such as the Newton method. The main goal of this paper is to provide estimates of the generalized Hessian for the optimal value function. Our results are based on two handy tools from parametric optimization, namely the optimal solution and Lagrange multiplier mappings, for which completely detailed estimates of their generalized derivatives are either well-known or can easily be obtained.
Association between congenital heart defects and maternal manganese and iron concentrations: a case–control study in China
Authors: Wang Meixian , Tian Yan , Yu Ping , Li Nana , Deng Ying , Li Lu , Kang Hong , Chen Dapeng , Wang Hui , Liu Zhen , Liang Juan 
Published: December 2021

Abstract
To investigate the correlation between maternal manganese and iron concentrations and the risk of CHD among their infant. A multi-center hospital-based case control study was conducted in China. There were 322 cases and 333 controls have been selected from pregnant women who received prenatal examinations. Correlations between CHDs and maternal manganese and iron concentrations were estimated by conditional logistic regression. Moreover, the interaction between manganese and iron on CHDs was analyzed. Compared with the controls, mothers whose hair manganese concentration was 3.01 μg/g or more were more likely to have a child with CHD than those with a lower concentration. The adjusted OR was 2.68 (95%CI = 1.44–4.99). The results suggested that mothers whose iron content was 52.95 μg/g or more had a significantly higher risk of having a child with CHD (aOR = 2.87, 95%CI = 1.54–5.37). No interaction between maternal manganese and iron concentrations was observed in the multiplicative or additive model. The concurrently existing high concentration of manganese and iron may bring higher risk of CHD (OR = 7.02). Women with excessive manganese concentrations have a significantly increased risk of having offspring with CHDs. The high maternal iron status also correlates with CHDs. The concurrently existing high concentration of manganese and iron may bring higher risk of CHD.
Measuring raw-material criticality of product systems through an economic product importance indicator: a case study of battery-electric vehicles
Authors: Lütkehaus Hauke , Pade Christian , Oswald Matthias , Brand Urte , Naegler Tobias , Vogt Thomas 
Published: December 2021

Abstract
Purpose
The concept of criticality concerns the probability and the possible impacts of shortages in raw-material supply and is usually applied to regional economies or specific industries. With more and more products being highly dependent on potentially critical raw materials, efforts are being made to also incorporate criticality into the framework of life cycle sustainability assessment (LCSA). However, there is still some need for methodological development of indicators to measure raw-material criticality in LCSA.

Methods
We therefore introduce ‘economic product importance’ (EPI) as a novel parameter for the product-specific evaluation of the relevance and significance of a certain raw material for a particular product system. We thereby consider both the actual raw-material flows (life cycle inventories) and the life cycle cost. The EPI thus represents a measure for the material-specific product-system vulnerability (another component being the substitutability). Combining the product-system vulnerability of a specific product system towards a certain raw material with the supply disruption probability of that same raw material then yields the product-system specific overall criticality with regard to that raw material. In order to demonstrate our novel approach, we apply it to a case study on a battery-electric vehicle.

Results
Since our approach accounts for the actual amounts of raw materials used in a product and relates their total share of costs to the overall costs of the product, no under- or over-estimation of the mere presence of the raw materials with respect to their relevance for the product system occurs. Consequently, raw materials, e.g. rare earth elements, which are regularly rated highly critical, do not necessarily reach higher criticality ranks within our approach, if they are either needed in very small amounts only or if their share in total costs of the respective product system is very low. Accordingly, in our case study on a battery-electric vehicle product system, most rare earth elements are ranked less critical than bulk materials such as copper or aluminium.

Conclusion
Our EPI approach constitutes a step forward towards a methodology for the raw-material criticality assessment within the LCSA framework, mainly because it allows a product-specific evaluation of product-system vulnerability. Furthermore, it is compatible with common methods for the supply disruption probability calculation — such as GeoPolRisk, ESP or ESSENZ — as well as with available substitutability evaluations. The practicability and usefulness of our approach has been shown by applying it to a battery-electric vehicle.
Review of Mercury’s dynamic magnetosphere: Post-MESSENGER era and comparative magnetospheres
Authors: Sun Weijie , Dewey Ryan M. , Aizawa Sae , Huang Jia , Slavin James A. , Fu Suiyan , Wei Yong , Bowers Charles F. 
Published: December 2021

AbstractThis review paper summarizes the research of Mercury’s magnetosphere in the Post-MESSENGER era and compares its dynamics to those in other planetary magnetospheres, especially to those in Earth’s magnetosphere. This review starts by introducing the planet Mercury, including its interplanetary environment, magnetosphere, exosphere, and conducting core. The frequent and intense magnetic reconnection on the dayside magnetopause, which is represented by the flux transfer event “shower”, is reviewed on how they depend on magnetosheath plasmaβand magnetic shear angle across the magnetopause, following by how it contributes to the flux circulation and magnetosphere-surface-exosphere coupling. In the next, Mercury’s magnetosphere under extreme solar events, including the core induction and the reconnection erosion on the dayside magnetosphere, the responses of the nightside magnetosphere, are reviewed. Then, the dawn-dusk properties of the plasma sheet, including the features of the ions, the structure of the current sheet, and the dynamics of magnetic reconnection, are summarized. The last topic is devoted to the particle energization in Mercury’s magnetosphere, which includes the energization of the Kelvin-Helmholtz waves on the magnetopause boundaries, reconnection-generated magnetic structures, and the cross-tail electric field. In each chapter, the last section discusses the open questions related to each topic, which can be considered by the simulations and the future spacecraft mission. We end this paper by summarizing the future BepiColombo opportunities, which is a joint mission of ESA and JAXA and is en route to Mercury.
Die wahrgenommene feministische Bedrohung: Empirische Befunde zum Antifeminismus in Deutschland
Authors: Schnabel Annette , Beyer Heiko , Ülpenich Bettina 
Published: December 2021

ZusammenfassungDie Frauenbewegung war von Beginn an von antifeministischen Diskursen und Initiativen begleitet. Diese reagieren auf den Erfolg feministischer Bewegung und Politik. Mit einer empirischen Analyse antifeministischer Einstellungen auf Grundlage einer quantitativen Bevölkerungsbefragung können wir zeigen, dass in Deutschland aktuelle antifeministische Überzeugungen nicht nur in ein umfassendes Einstellungscluster eingebettet sind, das eine konservativ-traditionelle Geschlechterordnung widerspiegelt, sondern sich auch als Reaktion auf als negativ empfundene Folgen des institutionellen und gesamtgesellschaftlichen Wandels verstehen lassen müssen.
Impact of Gastropexy/Omentopexy on Gastrointestinal Symptoms after Laparoscopic Sleeve Gastrectomy
Authors: Abou-Ashour Hady Saleh 
Published: December 2021

Abstract
Background
Laparoscopic sleeve gastrectomy (LSG) has become a single-step operation for the management of severe obesity. A statistically significant number of participants who undergo this procedure experience nausea, vomiting, and reflux symptoms early after the operation. The objectives of this study were to measure the positive or negative effect of gastropexy on reducing distressing postoperative LSG-related gastrointestinal symptoms.

Patients and Methods
This was a comparative randomized study conducted from January 2018 to January 2021. The study was carried out in the general surgery department at Menoufia University Hospital, Menoufia Faculty of Medicine in Egypt. Two hundred participants were included randomly during this trial. The participants were divided into two groups, with 100 patients in each group. Patients in group A underwent gastropexy, and patients in group B underwent LSG without gastropexy.

Results
There was no significant difference between the groups in age or sex (p > 0.05). There was no significant difference in the length of hospital stay (p > 0.05). There was a significant difference between the two groups regarding nausea, vomiting, reflux symptoms, and the amount and frequency of antiemetics used (p < 0.001). There was also a significant difference in hospital readmissions (p < 0.05) and in clinic visits during the postoperative period.

Conclusions
Patients who underwent gastropexy showed a significant reduction in antiemetic consumption and a significantly lower incidence of postoperative nausea, vomiting, gastroesophageal reflux disease symptoms and gastric torsion than those who did not undergo gastropexy.

Graphical abstract
Should Autists Have Cultural Rights?
Authors: de Vries Bouke 
Published: December 2021

AbstractWhile several scholars have argued that the rise of the internet has allowed an autistic culture to emerge over the past two decades, the question of whether people with autism or, as some members of this group refer to themselves, ‘autists’, are legally entitled to their own cultural rights has not been investigated. This article fills part of this lacuna by considering whether such entitlements exist from the perspective of human rights law. I start by showing that, insofar as (some) autists have their own culture(s), they are likely to be entitled to cultural rights under existing human rights treaties, before arguing that the absence of evidence that their beliefs, values, and behaviors are significantly shaped by distinct social norms renders it unclear whether they do in fact have their own culture(s). However, I end by arguing that, in terms of autists’ entitlements from a human rights perspective, little seems to depend on this.
The Use of Image Analysis and Sensory Analysis for the Evaluation of Cultivar Differentiation of Freeze-Dried and Lacto-Fermented Beetroot (Beta vulgaris L.)
Authors: Ropelewska Ewa , Wrzodak Anna 
Published: December 2021

AbstractThe aim of the research was to compare the possibility of distinguishing the cultivars of processed beetroots using image analysis technique and sensory evaluation. The differentiation of processed samples was tested for freeze-dried beetroot ‘Czerwona Kula’ and ‘Cylindra’, lacto-fermented beetroot ‘Czerwona Kula’ and ‘Cylindra’, freeze-dried lacto-fermented beetroot ‘Czerwona Kula’ and ‘Cylindra’. The textures from the images of quarters of root slices, as well as sensory attributes evaluated by expert sensory assessors, were determined. The differences in the means of selected textures from color spaces Lab, RGB and XYZ for different cultivars of raw and processed beetroots were observed. The raw beetroots ‘Czerwona Kula’ and ‘Cylindra’ were discriminated with the accuracy of up to 94.5% for models built based on selected texture from color space RGB. In the case of processed beetroots ‘Czerwona Kula’ and ‘Cylindra’, the accuracy reached 96% (color space Lab) for freeze-dried beetroots, 99% (color space Lab) for lacto-fermented beetroots, 98.5% (color space Lab) for freeze-dried lacto-fermented beetroots. In the case of sensory attributes, no statistically significant differences were observed between the beetroot samples.