bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiological impact assessment of different building material additives
Authors: Kocsis E. , Tóth-Bodrogi E. , Peka A. , Adelikhah M. , Kovács T. 
Published: July 2021

AbstractIn this study, samples of building material additives were analyzed for naturally occurring radioisotope activity such as uranium, radium, and radon. The radon exhalation and the annual effective doses, were also calculated. The activities of the samples, were determined using HPGe gamma spectrometry and ionization detector. The results were used to calculate dose values by using RESRAD BUILD code. The activity concentration of the samples ranges between 9–494 Bq/kg Ra-226, 1–119 Bq/kg Th-232 and 24–730 Bq/kg K-40. In conclusion the investigated samples can be used safely as building material additives as they do not pose a major risk to humans.
Modelling cassava production and pest management under biotic and abiotic constraints
Authors: Alonso Chavez Vasthi , Milne Alice E. , van den Bosch Frank , Pita Justin , McQuaid C. Finn 
Published: July 2021

AbstractKey messageWe summarise modelling studies of the most economically important cassava diseases and arthropods, highlighting research gaps where modelling can contribute to the better management of these in the areas of surveillance, control, and host-pest dynamics understanding the effects of climate change and future challenges in modelling.AbstractFor over 30 years, experimental and theoretical studies have sought to better understand the epidemiology of cassava diseases and arthropods that affect production and lead to considerable yield loss, to detect and control them more effectively. In this review, we consider the contribution of modelling studies to that understanding. We summarise studies of the most economically important cassava pests, including cassava mosaic disease, cassava brown streak disease, the cassava mealybug, and the cassava green mite. We focus on conceptual models of system dynamics rather than statistical methods. Through our analysis we identified areas where modelling has contributed and areas where modelling can improve and further contribute. Firstly, we identify research challenges in the modelling developed for the surveillance, detection and control of cassava pests, and propose approaches to overcome these. We then look at the contributions that modelling has accomplished in the understanding of the interaction and dynamics of cassava and its’ pests, highlighting success stories and areas where improvement is needed. Thirdly, we look at the possibility that novel modelling applications can achieve to provide insights into the impacts and uncertainties of climate change. Finally, we identify research gaps, challenges, and opportunities where modelling can develop and contribute for the management of cassava pests, highlighting the recent advances in understanding molecular mechanisms of plant defence.
Direct prediction of site-specific lime requirement of arable fields using the base neutralizing capacity and a multi-sensor platform for on-the-go soil mapping
Authors: Vogel Sebastian , Bönecke Eric , Kling Charlotte , Kramer Eckart , Lück Katrin , Philipp Golo , Rühlmann Jörg , Schröter Ingmar , Gebbers Robin 
Published: July 2021

AbstractLiming agricultural fields is necessary for counteracting soil acidity and is one of the oldest operations in soil fertility management. However, the best management practice for liming in Germany only insufficiently considers within-field soil variability. Thus, a site-specific variable rate liming strategy was developed and tested on nine agricultural fields in a quaternary landscape of north-east Germany. It is based on the use of a proximal soil sensing module using potentiometric, geoelectric and optical sensors that have been found to be proxies for soil pH, texture and soil organic matter (SOM), which are the most relevant lime requirement (LR) affecting soil parameters. These were compared to laboratory LR analysis of reference soil samples using the soil’s base neutralizing capacity (BNC). Sensor data fusion utilizing stepwise multi-variate linear regression (MLR) analysis was used to predict BNC-based LR (LRBNC) for each field. The MLR models achieved high adjusted R2values between 0.70 and 0.91 and low RMSE values from 65 to 204 kg CaCO3ha−1. In comparison to univariate modeling, MLR models improved prediction by 3 to 27% with 9% improvement on average. The relative importance of covariates in the field-specific prediction models were quantified by computing standardized regression coefficients (SRC). The importance of covariates varied between fields, which emphasizes the necessity of a field-specific calibration of proximal sensor data. However, soil pH was the most important parameter for LR determination of the soils studied. Geostatistical semivariance analysis revealed differences between fields in the spatial variability of LRBNC. The sill-to-range ratio (SRR) was used to quantify and compare spatial LRBNCvariability of the nine test fields. Finally, high resolution LR maps were generated. The BNC-based LR method also produces negative LR values for soil samples with pH values above which lime is required. Hence, the LR maps additionally provide an estimate on the quantity of chemically acidifying fertilizers that can be applied to obtain an optimal soil pH value.
Religious change in Orthodox-majority Eastern Europe: from Nation-State to Global-Market
Authors: Gauthier François 
Published: July 2021

AbstractThis article mobilises an analytical framework developed by the author in a series of solo and joint publications according to which religion has shifted from a Nation-State to a Global-Market regime, which it applies to the case of Eastern European Orthodox majority countries, including Russia, in modern times. Bringing together a large amount of research in a synthetic objective, it first examines how religion in Eastern Europe was nationalised and statised from the end of the eighteenth to the twentieth century. It looks at the particularities of the communist experience, and shows how it is best understood as a form of radicalisation of National-Statist trends. It then shows how neoliberal reforms have integrated these countries in wider global flows. The remainder of the article looks at different trends from the perspective of marketisation: the coextensive rise of Orthodoxy affiliation and nationalism, the qualitative changes within Orthodoxy, as well as the parallel developments of New Age derived spirituality and Pentecostalism, the two ideal-typical religious forms in the Global-Market regime, and by linking them to specific experiences of globalisation and social determinants. The conclusion argues that the rise of nationalism and authoritarianism as well as the religious trends that are developing today are the consequences of neoliberal reforms, the penetration of consumerism as a dominant ethos, and thus generalised marketisation.
Stable and Metastable Phase Equilibria Involving the Cu6Sn5 Intermetallic
Authors: Leineweber A. , Löffler M. , Martin S. 
Published: July 2021

Abstract
Cu6Sn5 intermetallic occurs in the form of differently ordered phases η, η′ and η′′. In solder joints, this intermetallic can undergo changes in composition and the state of order without or while interacting with excess Cu and excess Sn in the system, potentially giving rise to detrimental changes in the mechanical properties of the solder. In order to study such processes in fundamental detail and to get more detailed information about the metastable and stable phase equilibria, model alloys consisting of Cu3Sn + Cu6Sn5 as well as Cu6Sn5 + Sn-rich melt were heat treated. Powder x-ray diffraction and scanning electron microscopy supplemented by electron backscatter diffraction were used to investigate the structural and microstructural changes. It was shown that Sn-poor η can increase its Sn content by Cu3Sn precipitation at grain boundaries or by uptake of Sn from the Sn-rich melt. From the kinetics of the former process at 513 K and the grain size of the η phase, we obtained an interdiffusion coefficient in η of (3 ± 1) × 10−16 m2 s−1. Comparison of this value with literature data implies that this value reflects pure volume (inter)diffusion, while Cu6Sn5 growth at low temperature is typically strongly influenced by grain-boundary diffusion. These investigations also confirm that η′′ forming below a composition-dependent transus temperature gradually enriches in Sn content, confirming that Sn-poor η′′ is metastable against decomposition into Cu3Sn and more Sn-rich η or (at lower temperatures) η′.

Graphic Abstract
Detection of functional and structural brain alterations in female schizophrenia using elastic net logistic regression
Authors: Wu Ying , Ren Ping , Chen Rong , Xu Hong , Xu Jianxing , Zeng Lin , Wu Donghui , Jiang Wentao , Tang NianSheng , Liu Xia 
Published: July 2021

AbstractNeuroimaging technique is a powerful tool to characterize the abnormality of brain networks in schizophrenia. However, the neurophysiological substrate of schizophrenia is still unclear. Here we investigated the patterns of brain functional and structural changes in female patients with schizophrenia using elastic net logistic regression analysis of resting-state functional magnetic resonance imaging data. Data from 52 participants (25 female schizophrenia patients and 27 healthy controls) were obtained. Using an elastic net penalty, the brain regions most relevant to schizophrenia pathology were defined in the models using the amplitude of low-frequency fluctuations (ALFF) and gray matter, respectively. The receiver operating characteristic analysis showed reliable classification accuracy with 85.7% in ALFF analysis, and 77.1% in gray matter analysis. Notably, our results showed eight common regions between the ALFF and gray matter analyses, including the Frontal-Inf-Orb-R, Rolandic-Oper-R, Olfactory-R, Angular-L, Precuneus-L, Precuenus-R, Heschl-L, and Temporal-Pole-Mid-R. In addition, the severity of symptoms was found positively associated with the ALFF within the Rolandic-Oper-R and Frontal-Inf-Orb-R. Our findings indicated that elastic net logistic regression could be a useful tool to identify the characteristics of schizophrenia -related brain deterioration, which provides novel insights into schizophrenia diagnosis and prediction.
How to express the antioxidant properties of substances properly?
Authors: Olszowy-Tomczyk Małgorzata 
Published: July 2021

AbstractOxidative stress, associated with an imbalance between the oxidants (reactive oxygen species) and the antioxidants in the body, contributes to the development of many diseases. The body’s fight against reactive oxygen species is supported by antioxidants. Nowadays, there are too many analytical methods, but there is no one universal technique for assessing antioxidant properties. Moreover, the applied different ways of expressing the results lead to their incompatibility and unreasonable interpretation. The paper is a literature review concerning the most frequent ways of antioxidant activities expression and for an easy and universal method of the obtained results discussion. This paper is an attempt to point out their disadvantages and advantages. The manuscript can support the searching interpretation of the obtained results which will be a good tool for the development of a number of fields, especially medicine what can help in the future detection and treatment of many serious diseases.

Graphic abstract
Assessing the Spatio-temporal Spread of COVID-19 via Compartmental Models with Diffusion in Italy, USA, and Brazil
Authors: Grave Malú , Viguerie Alex , Barros Gabriel F. , Reali Alessandro , Coutinho Alvaro L. G. A. 
Published: July 2021

AbstractThe outbreak of COVID-19 in 2020 has led to a surge in interest in the mathematical modeling of infectious diseases. Such models are usually defined as compartmental models, in which the population under study is divided into compartments based on qualitative characteristics, with different assumptions about the nature and rate of transfer across compartments. Though most commonly formulated as ordinary differential equation models, in which the compartments depend only on time, recent works have also focused on partial differential equation (PDE) models, incorporating the variation of an epidemic in space. Such research on PDE models within a Susceptible, Infected, Exposed, Recovered, and Deceased framework has led to promising results in reproducing COVID-19 contagion dynamics. In this paper, we assess the robustness of this modeling framework by considering different geometries over more extended periods than in other similar studies. We first validate our code by reproducing previously shown results for Lombardy, Italy. We then focus on the U.S. state of Georgia and on the Brazilian state of Rio de Janeiro, one of the most impacted areas in the world. Our results show good agreement with real-world epidemiological data in both time and space for all regions across major areas and across three different continents, suggesting that the modeling approach is both valid and robust.
An Overall Furnace Model for the Silicomanganese Process
Authors: Sparta Manuel , Risinggård Vetle Kjær , Einarsrud Kristian Etienne , Halvorsen Svenn Anton 
Published: July 2021

AbstractControlling and optimizing smelting processes in submerged-arc furnaces are complicated by the limited amount of information available regarding the internal conditions. Computer models can help to bridge this knowledge gap. Due to the process complexity, computer models are commonly restricted to electrical conditions, thermal conditions, or chemical reactions, for instance. We have developed an overall model for a pilot-scale silicomanganese furnace that simultaneously considers electrical and thermal conditions, process chemistry, and flow of solid and liquid substances. To the best of our knowledge, this is the first comprehensive silicomanganese furnace model. The model has been compared to experimental data. Using information about the inner state of the furnace provided by the model, we are able to predict and explain an increase in temperature during over-coking as well as changes in the product compositions.
Do sustainable institutional investors contribute to firms’ environmental performance? Empirical evidence from Europe
Authors: Kordsachia Othar , Focke Maximilian , Velte Patrick 
Published: July 2021

AbstractIn light of current climate change discussions, this paper analyzes the effect of ownership structure on a firm’s environmental performance with a subsequent focus on corporate emission reduction. Based on a cross-national European sample consisting of 7384 firm-year observations between 2008 and 2017, this study explores the relationship between sustainable institutional investors and environmental performance. In line with prior research and embedded in an agency theoretical framework, the nature of institutional investors may act as a stimulating driver towards green business practices. Sustainable institutional investors are defined based on their signatory status to the UN Principles for Responsible Investment and their (long-term) investment horizons. The first classification stems from a content-driven sustainability perspective, while the second is derived from temporal sustainability. The results indicate that sustainable institutional ownership is positively associated with a firm’s environmental performance. Further investigations reveal that sustainable institutional investor ownership is also positively associated with firms’ willingness to respond to the Carbon Disclosure Project. These results indicate a higher carbon-risk awareness in firms with greater sustainable institutional investor ownership. Our paper significantly contributes to prior empirical research on institutional ownership and environmental performance and offers useful theoretical and practical implications. It focusses on a still-underdeveloped research area, namely organizations and their relationships with the natural environment, including institutional equity ownership as a driver towards greener practices on a corporate level.
Temporal Expression Pattern of Hemoxygenase-1 Expression and Its Association with Vasospasm and Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage
Authors: Frase Sibylle , Steimer Matti , Selzner Lisa , Kaiser Sandra , Foit Niels Alexander , Niesen Wolf-Dirk , Schallner Nils 
Published: July 2021

Abstract
Background
Red blood cell-induced cerebral inflammation and toxicity has been shown to be attenuated by induction of the heme-catalyzing enzyme, hemoxygenase-1 (HO-1), in animal models of subarachnoid hemorrhage (SAH). Although inflammatory mechanisms leading to secondary neuronal injury in SAH are becoming increasingly well understood, markers of cerebral inflammation have so far not been implemented in clinical prediction models of SAH.

Methods
In this biomarker observational study, HO-1 messenger ribonucleic acid (mRNA) expression levels were determined in cerebrospinal fluid (CSF) and blood of 66 patients with aneurysmal SAH on days 1, 7, and 14 after the SAH event. HO-1 mRNA expression was determined via real time polymerase chain reaction (PCR), and relative expression changes were quantified in comparison with expression levels in nonhemorrhagic control CSF. Subarachnoid blood burden, as well as presence of vasospasm and delayed cerebral ischemia (DCI), were recorded. Short and long-term clinical outcomes were assessed using the Modified Rankin Scale at discharge and 1 year after the SAH event.

Results
CSF HO-1 expression levels showed a significant increase over the 14-day observation period (p < 0.001, F = 22.53) and correlated with intracranial hematoma burden (ρ = 0.349, p = 0.025). In multivariate analyses, CSF HO-1 expression levels did not reach significance as independent predictors of outcome. Vasospasm on computed tomographic angiography was associated with lower CSF HO-1 expression levels on day 7 after SAH (n = 53, p = 0.010), whereas patients with DCI showed higher CSF HO-1 expression levels on day 14 after SAH (n = 21, p = 0.009).

Conclusions
HO-1 expression in CSF in patients with SAH follows a distinct temporal induction pattern and is dependent on intracranial hematoma burden. CSF HO-1 expression was unable to predict functional outcome. Associations of early low HO-1 expression with vasospasm and late elevated HO-1 expression with DCI may point to detrimental effects of late HO-1 induction, warranting the need for further investigation in a larger study population.
Genetic Depletion of Amylin/Calcitonin Receptors Improves Memory and Learning in Transgenic Alzheimer’s Disease Mouse Models
Authors: Patel Aarti , Kimura Ryoichi , Fu Wen , Soudy Rania , MacTavish David , Westaway David , Yang Jing , Davey Rachel A. , Zajac Jeffrey D. , Jhamandas Jack H. 
Published: July 2021

AbstractBased upon its interactions with amyloid β peptide (Aβ), the amylin receptor, a class B G protein-coupled receptor (GPCR), is a potential modulator of Alzheimer’s disease (AD) pathogenesis. However, past pharmacological approaches have failed to resolve whether activation or blockade of this receptor would have greater therapeutic benefit. To address this issue, we generated compound mice expressing a human amyloid precursor protein gene with familial AD mutations in combination with deficiency of amylin receptors produced by hemizygosity for the critical calcitonin receptor subunit of this heterodimeric GPCR. These compound transgenic AD mice demonstrated attenuated responses to human amylin- and Aβ-induced depression of hippocampal long-term potentiation (LTP) in keeping with the genetic depletion of amylin receptors. Both the LTP responses and spatial memory (as measured with Morris water maze) in these mice were improved compared to AD mouse controls and, importantly, a reduction in both the amyloid plaque burden and markers of neuroinflammation was observed. Our data support the notion of further development of antagonists of the amylin receptor as AD-modifying therapies.
Identity, Belonging and Strategic Citizenship. Considerations About Naturalisation Among Italians and Spaniards Living in the EU
Authors: Dimitriadis Iraklis , Quassoli Fabio 
Published: July 2021

AbstractThe subject of naturalisation among intra-EU migrants has only recently drawn the attention of social science scholars. Empirical evidence from quantitative studies shows an increase in citizenship applications among this new wave of mobile people, indicating a strategic use of naturalisation. However, there is not a great deal of micro-level research, especially as to the subjective meanings attached to citizenship take-up in a new EU member state. Drawing on 68 in-depth interviews conducted with Italians and Spaniards living in London and Berlin, we argue that an individual’s understanding of naturalisation within the EU context is based on two aspects: on one hand, a strictly pragmatic evaluation of the pros and cons of the new status; on the other, a new sense of belonging as well as new cultural and territorial identifications that intra-EU migrants are not often willing to experience. Therefore, this article suggests that EU migrants that strongly identify with their country of origin and the EU see national and EU identities as conflicting with naturalisation, thus setting aside instrumental considerations. This constitutes a critique to theoretical approaches claiming the diminishing importance of a nation’s cultural self-understanding. Our paper also sheds light on the possible effect of the UK’s departure from the EU on young Southern European migrants choosing to apply for British citizenship, highlighting that it is mostly the implementation of the formal exit process and the actual abrogation of EU citizenship rights that reconfigure patterns in naturalisation, rather than the uncertainty and fears about the future.
ubtor Mutation Causes Motor Hyperactivity by Activating mTOR Signaling in Zebrafish
Authors: Wang Tiantian , Zhou Mingshan , Zhang Quan , Zhang Cuizhen , Peng Gang 
Published: July 2021

AbstractMechanistic target of rapamycin (mTOR) signaling governs important physiological and pathological processes key to cellular life. Loss of mTOR negative regulators and subsequent over-activation of mTOR signaling are major causes underlying epileptic encephalopathy. Our previous studies showed that UBTOR/KIAA1024/MINAR1 acts as a negative regulator of mTOR signaling, but whether UBTOR plays a role in neurological diseases remains largely unknown. We therefore examined a zebrafish model and found that ubtor disruption caused increased spontaneous embryonic movement and neuronal activity in spinal interneurons, as well as the expected hyperactivation of mTOR signaling in early zebrafish embryos. In addition, mutant ubtor larvae showed increased sensitivity to the convulsant pentylenetetrazol, and both the motor activity and the neuronal activity were up-regulated. These phenotypic abnormalities in zebrafish embryos and larvae were rescued by treatment with the mTORC1 inhibitor rapamycin. Taken together, our findings show that ubtor regulates motor hyperactivity and epilepsy-like behaviors by elevating neuronal activity and activating mTOR signaling.