bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plasma Driven Exsolution for Nanoscale Functionalization of Perovskite Oxides
Authors: Kyriakou Vasileios , Sharma Rakesh Kumar , Neagu Dragos , Peeters Floran , De Luca Oreste , Rudolf Petra , Pandiyan Arunkumar , Yu Wonjong , Cha Suk Won , Welzel Stefan , van de Sanden Mauritius C.M. , Tsampas Mihalis N. 
Published: October 2021

AbstractPerovskite oxides with dispersed nanoparticles on their surface are considered instrumental in energy conversion and catalytic processes. Redox exsolution is an alternative method to the conventional deposition techniques for directly growing well‐dispersed and anchored nanoarchitectures from the oxide support through thermochemical or electrochemical reduction. Herein, a new method for such nanoparticle nucleation through the exposure of the host perovskite to plasma is shown. The applicability of this new method is demonstrated by performing catalytic tests for CO2 hydrogenation over Ni exsolved nanoparticles prepared by either plasma or conventional H2 reduction. Compared to the conventional thermochemical H2 reduction, there are plasma conditions that lead to the exsolution of a more than ten times higher Ni amount from a lanthanum titanate perovskite, which is similar to the reported values of the electrochemical method. Unlike the electrochemical method, however, plasma does not require the integration of the material in an electrochemical cell, and is thus applicable to a wide range of microstructures and physical forms. Additionally, when N2 plasma is employed, the nitrogen species are stripping out oxygen from the perovskite lattice, generating a key chemical intermediate, such as NO, rendering this technology even more appealing.
Comparing the concentrations of heavy metals on two bivalve species in Santos Bay, Brazil: Subsidies to understanding the assimilation dynamic of bivalve contaminants
Authors: Farias de Souza Patricia , Vieira Khaue Silva , da Silva Lima Leonardo , Azevedo Netto Adriana , de Freitas Delgado Jessica , Corrêa Thulio Righeti , Baptista Neto José Antônio , Gaylarde Christine C. , da Fonseca Estefan Monteiro 
Published: October 2021

AbstractContaminant substances consist of chemical elements that present the potential to adversely impact the ecology of the environment, thus representing a threat to local fauna and flora. In this context, heavy metals are critical agents that, depending on the nature and level, are potentially toxic to living organisms. In order to evaluate the bioaccumulation of heavy metals in the Santos estuary and to determine the potential influence of salinity gradient on the heavy metal bioconcentration, the present study measured the concentrations of As, Cd, Pb, Cu, Cr, Fe, Ni, and Zn in two bivalve species (Crassostrea rhizophoraeandPerna Perna) sampled at different sites of Santos Bay, in the southeastern region of Brazil. Throughout the study, the “sentinel species” used were effective in bioaccumulating contaminants. In oysters, based on the Brazilian legislation, critical limits were exceeded for As, Zn, Cu, and Cr. In the case of mussels, on the other hand, only for As, Zn, and Cr, the critical limits were overcome. In the present study, obtained data suggested salinity as a determinant parameter in As incorporation processes of bivalve mollusks.Practitioner PointsThe present study presents important results for the development of environmental management policies in estuarine environments.The present study points out differences between different organisms as biomonitors, providing subsidies for the decision of an effective biomonitoring program.The present study discusses values of contaminants as a danger to public health in Santos Bay, which can be extrapolated to other similar environments around the world.
Digital Materiality and Subjectivation: Methodological Aspects of Hybrid Entanglements in Processes of Bildung
Authors: Bettinger Patrick 
Published: October 2021

AbstractThis chapter explores possible connections among discourse analysis, materiality and biographical research in the context of subjectivation. The extant methodological/epistemological concepts linking the Foucauldian idea of discourse with biographical research do not provide clear openings for the incorporation of materiality, specifically those in digital form. This chapter proposes an adapted, modified approach to the analysis of material-discursive practices to the end of investigating the materiality and mediality of relationally understood processes of Bildung. In so doing, it identifies a need for a post-anthropocentric understanding of the biographical that focuses on the variety of socio-medial relational reconfigurations.
Genesis of a Wood Harvesting B2B Software Platform
Authors: Vuolasto Jaakko , Smolander Kari 
Published: October 2021

AbstractDigital platform research has focused mostly on global platforms, where the users of the platform are consumers. Business-to-business (B2B) digital platforms have received less attention. This study observes and provides an early report on a digital platform for forestry, bringing together forest companies, contractors, and forest machine manufacturers. The platform started in Finland, but it has begun to extent its scope to international markets as well. We present some early insights about the birth of the platform and the factors that have contributed to its success in the beginning. We also describe some aspects present in B2B platform governance and related forces. Finally, we provide a preliminary outlook of possible future directions of the platform and its ecosystem.
Assessing the Health of the Dark Web:
Authors: Onyango Samuel , Steenvoorden Emilie , Scholten Joram , Jansen Slinger 
Published: October 2021

AbstractA hidden part of the World Wide Web is known as the Dark Web, featuring websites that cannot be indexed by traditional search engines. Many open source software products are used to access and navigate through the Dark Web. Together they form the Dark Web open source software ecosystem. Research on this ecosystem is scarce and research on the ecosystem health is non-existent, even though ecosystem health is an useful indicator of the livelihood of an ecosystem. The goal of this research is to evaluate the health of the ecosystem through an assessment of Tor, I2P and GitHub. The Open Source Ecosystem Health Operationalization framework is used to help perform this assessment. Eight metrics from the framework are selected, which are measured using the data collected. Analysis of Tor and I2P metrics suggest that there has been an increase in Tor and I2P user activity in the recent past. Added knowledge, spin offs and forks and usage indicate active participation and interest in Tor and I2P. There has also been an increase in the number of active GitHub Dark Web projects. However, these GitHub projects are not well-connected and only a small number of projects have a large number of contributors. There is some variety among the GitHub software projects. The framework proves to be adequately capable of determining the health of the Dark Web open source ecosystem with the available data.
Institutional Logics in Large-Scale Agile Software Development Transformations
Authors: Gustavsson Tomas 
Published: October 2021

AbstractTransforming into agile ways of working in large organizations can be performed in different ways. Many organizations choose a defined large-scale agile software development framework but how the transformation is carried out could be based on different sorts of logics. This paper investigates institutional logics at play in large-scale agile transformations. By studying two case organizations, the paper aims at improving our understanding of large-scale transformations by viewing software development as an institution. The findings displays diverse impacts due to two differing institutional logics when transforming into large-scale agile software development by implementing the Scaled Agile Framework. One contribution of this paper is to show the possibilities of using two institutional logics, Agile toolbox logic and Agile rulebook logic, for analyzing impacts of agile transformations.
Cherry Picking - Agile Software Development Teams Applying Design Thinking Tools
Authors: Dobrigkeit Franziska , Matthies Christoph , Pajak Philipp , Teusner Ralf 
Published: October 2021

AbstractDesign Thinking (DT) is an established approach to conceptualize software products before starting the product development work. Research suggests that software development can benefit from a continuous integration of DT throughout Agile development processes. However, practitioners and researchers lack an in-depth understanding of which tools from the ever-growing DT toolbox are suited to support software development teams and their processes and how these tools can be applied to the teams’ daily work. As initial steps towards closing this knowledge gap, we present our experiences from testing five different DT tools from a previously developed toolbox with four Agile software development teams. Each team chose three tools to apply to their product, problem, and context during a workshop. We present summarised findings regarding the use cases, benefits, and challenges of these tools as experienced by the participants. Overall, the teams welcomed the DT tools and were able to independently apply them to achieve the desired effects, e.g., to highlight user needs, find product issues, and discover team challenges.
The Stories We Tell: Experience, Research, or Patterns?
Authors: Mancl Dennis , Fraser Steven D. 
Published: October 2021

AbstractSeveral “story” formats are used by software researchers and practitioners to document research results and share best practices. Research papers are the staple of software conferences and journals: papers report the results of research projects and a wide range of empirical experiments. Experience reports and software patterns are two alternative formats to share results and propagate knowledge and best practices. Experience reports relate experience and cautionary tales while software patterns distill experience into a compact form. An XP2021 panel session orchestrated by Steven Fraser – featuring panelists Ademar Aguiar, Casper Lassenius, Mary Lynn Manns, Ken Power, and Rebecca Wirfs-Brock – discussed how “story” formats each have a role to advance the practice of software engineering.
Managing Dependencies in Large-Scale Agile
Authors: Vedal Henrik , Stray Viktoria , Berntzen Marthe , Moe Nils Brede 
Published: October 2021

AbstractDelivering results iteratively and frequently in large-scale agile requires efficient management of dependencies. We conducted semi-structured interviews and virtual observations in a large-scale project during the Covid-19 pandemic to better understand large-scale dependency management. All employees in the case were working from home. During our data collection and analysis, we identified 22 coordination mechanisms. These mechanisms could be categorized as synchronization activities, boundary-spanning activities and artifacts, and coordinator roles. By using a dependency taxonomy, we analyzed how the mechanisms managed five different types of dependencies. We discuss three essential mechanisms for coordination in our case. First, setting Objectives and Key Results (OKRs) in regular workshops increased transparency and predictability across teams. Second, ad-hoc communication, mainly happening on Slack because of the distributed setting, was essential in managing dependencies. Third, the Product Owner was a coordinator role that managed both inter-team and intra-team dependencies.
SaaS Pricing Practices Typology: A Case Study
Authors: Saltan Andrey , Smolander Kari 
Published: October 2021

AbstractSoftware-as-a-Service (SaaS) pricing addresses decisions of monetary compensation and the conditions for the SaaS solution to the customer. Efficient SaaS pricing requires sophisticated decision-making and analytics, as well as coordination and compromises between the many business functions involved. The decision-making includes integrated analysis of different perspectives and streams of information. Like in many other product management areas, there is no silver-bullet solution for pricing. We conducted a multiple case study using fifteen SaaS companies with data collection primarily through semi-structured interviews to assess SaaS pricing practices and identify major factors that affect the way pricing is done. We identified four distinct types of SaaS pricing patterns and detailed their main characteristics.
WKB periods for higher order ODE and TBA equations
Authors: Ito Katsushi , Kondo Takayasu , Kuroda Kohei , Shu Hongfei 
Published: October 2021

Abstract
We study the WKB periods for the (r + 1)-th order ordinary differential equation (ODE) which is obtained by the conformal limit of the linear problem associated with the $$ {A}_r^{(1)} $$

A
r

1

affine Toda field equation. We compute the quantum corrections by using the Picard-Fuchs operators. The ODE/IM correspondence provides a relation between the Wronskians of the solutions and the Y-functions which satisfy the thermodynamic Bethe ansatz (TBA) equation related to the Lie algebra Ar. For the quadratic potential, we propose a formula to show the equivalence between the logarithm of the Y-function and the WKB period, which is confirmed by solving the TBA equation numerically.
How to make traversable wormholes: eternal AdS4 wormholes from coupled CFT’s
Authors: Bintanja Suzanne , Espíndola Ricardo , Freivogel Ben , Nikolakopoulou Dora 
Published: October 2021

Abstract
We construct an eternal traversable wormhole connecting two asymptotically AdS4 regions. The wormhole is dual to the ground state of a system of two identical holographic CFT’s coupled via a single low-dimension operator. The coupling between the two CFT’s leads to negative null energy in the bulk, which supports a static traversable wormhole. As the ground state of a simple Hamiltonian, it may be possible to make these wormholes in the lab or on a quantum computer.
The influenza virus RNA polymerase as an innate immune agonist and antagonist
Authors: Elshina Elizaveta , te Velthuis Aartjan J. W. 
Published: October 2021

AbstractInfluenza A viruses cause a mild-to-severe respiratory disease that affects millions of people each year. One of the many determinants of disease outcome is the innate immune response to the viral infection. While antiviral responses are essential for viral clearance, excessive innate immune activation promotes lung damage and disease. The influenza A virus RNA polymerase is one of viral proteins that affect innate immune activation during infection, but the mechanisms behind this activity are not well understood. In this review, we discuss how the viral RNA polymerase can both activate and suppress innate immune responses by either producing immunostimulatory RNA species or directly targeting the components of the innate immune signalling pathway, respectively. Furthermore, we provide a comprehensive overview of the polymerase residues, and their mutations, associated with changes in innate immune activation, and discuss their putative effects on polymerase function based on recent advances in our understanding of the influenza A virus RNA polymerase structure.
Local versus nonlocal constitutive theories of nonequilibrium thermodynamics: the Guyer–Krumhansl equation as an example
Authors: Cimmelli V. A. 
Published: October 2021

AbstractOn the example of the celebrated Grad’s 13-moment system of kinetic theory of rarefied gases and phonon hydrodynamics, it is proved that the constitutive equations of nonequilibrium thermodynamics must be nonlocal. A thermodynamic model of Guyer–Krumhansl heat-transport equation is derived within the frame of weakly nonlocal Rational Thermodynamics. The constitutive equation for the entropy flux is analyzed as well. Some nonlinear generalizations of Maxwell–Cattaneo equation are studied in view of the experiments on thermal wave propagation.
Systematic genetic testing for recessively inherited monogenic diabetes: a cross-sectional study in paediatric diabetes clinics
Authors: Patel Kashyap A. , Ozbek Mehmet N. , Yildiz Melek , Guran Tulay , Kocyigit Cemil , Acar Sezer , Siklar Zeynep , Atar Muge , Colclough Kevin , Houghton Jayne , Johnson Matthew B. , Ellard Sian , Flanagan Sarah E. , Cizmecioglu Filiz , Berberoglu Merih , Demir Korcan , Catli Gonul , Bas Serpil , Akcay Teoman , Demirbilek Huseyin , Weedon Michael N. , Hattersley Andrew T. 
Published: October 2021

Abstract
Aims/hypothesis
Current clinical guidelines for childhood-onset monogenic diabetes outside infancy are mainly focused on identifying and testing for dominantly inherited, predominantly MODY genes. There are no systematic studies of the recessively inherited causes of monogenic diabetes that are likely to be more common in populations with high rates of consanguinity. We aimed to determine the contribution of recessive causes of monogenic diabetes in paediatric diabetes clinics and to identify clinical criteria by which to select individuals for recessive monogenic diabetes testing.

Methods
We conducted a cross-sectional study of 1093 children from seven paediatric diabetes clinics across Turkey (a population with high rates of consanguinity). We undertook genetic testing of 50 known dominant and recessive causes of monogenic diabetes for 236 children at low risk of type 1 diabetes. As a comparison, we used monogenic diabetes cases from UK paediatric diabetes clinics (a population with low rates of consanguinity).

Results
Thirty-four children in the Turkish cohort had monogenic diabetes, equating to a minimal prevalence of 3.1%, similar to that in the UK cohort (p = 0.40). Forty-one per cent (14/34) had autosomal recessive causes in contrast to 1.6% (2/122) in the UK monogenic diabetes cohort (p < 0.0001). All conventional criteria for identifying monogenic diabetes (parental diabetes, not requiring insulin treatment, HbA1c ≤ 58 mmol/mol [≤7.5%] and a composite clinical probability of MODY >10%) assisted the identification of the dominant (all p ≤ 0.0003) but not recessive cases (all p ≥ 0.2) in Turkey. The presence of certain non-autoimmune extra-pancreatic features greatly assisted the identification of recessive (p < 0.0001, OR 66.9) but not dominant cases.

Conclusions/interpretation
Recessively inherited mutations are a common cause of monogenic diabetes in populations with high rates of consanguinity. Present MODY-focused genetic testing strategies do not identify affected individuals. To detect all cases of monogenic paediatric diabetes, it is crucial that recessive genes are included in genetic panels and that children are selected for testing if they have certain non-autoimmune extra-pancreatic features in addition to current criteria.

Graphical abstract
Deoxynivalenol induces apoptosis and autophagy in human prostate epithelial cells via PI3K/Akt signaling pathway
Authors: Kowalska Karolina , Kozieł Marta Justyna , Habrowska-Górczyńska Dominika Ewa , Urbanek Kinga Anna , Domińska Kamila , Piastowska-Ciesielska Agnieszka Wanda 
Published: October 2021

AbstractPhosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway is one of the most deregulated signaling pathway in prostate cancer. It controls basic processes in cells: cell proliferation and death. Any disturbances in the balance between cell death and survival might result in carcinogenesis. Deoxynivalenol (DON) is one of the most common mycotoxins, a toxic metabolites of fungi, present in our everyday diet and feed. Although previous studies reported DON to induce oxidative stress, modulate steroidogenesis, DNA damage and cell cycle modulation triggering together its toxicity, its effect on normal prostate epithelial cells is not known. The aim of the study was to evaluate the effect of DON on the apoptosis and autophagy in normal prostate epithelial cells via modulation of PI3K/Akt signaling pathway. The results showed that DON in a dose of 30 µM and 10 µM induces oxidative stress, DNA damage and cell cycle arrest in G2/M cell cycle phase. The higher concentration of DON induces apoptosis, whereas lower one autophagy in PNT1A cells, indicating that modulation of PI3K/Akt by DON results in the induction of autophagy triggering apoptosis in normal prostate epithelial cells.
Mapping covariance in brain FDG uptake to structural connectivity
Authors: Yakushev Igor , Ripp Isabelle , Wang Min , Savio Alex , Schutte Michael , Lizarraga Aldana , Bogdanovic Borjana , Diehl-Schmid Janine , Hedderich Dennis M. , Grimmer Timo , Shi Kuangyu 
Published: October 2021

Abstract
Purpose
Inter-subject covariance of regional 18F-fluorodeoxyglucose (FDG) PET measures (FDGcov) as proxy of brain connectivity has been gaining an increasing acceptance in the community. Yet, it is still unclear to what extent FDGcov is underlied by actual structural connectivity via white matter fiber tracts. In this study, we quantified the degree of spatial overlap between FDGcov and structural connectivity networks.

Methods
We retrospectively analyzed neuroimaging data from 303 subjects, both patients with suspected neurodegenerative disorders and healthy individuals. For each subject, structural magnetic resonance, diffusion tensor imaging, and FDG-PET data were available. The images were spatially normalized to a standard space and segmented into 62 anatomical regions using a probabilistic atlas. Sparse inverse covariance estimation was employed to estimate FDGcov. Structural connectivity was measured by streamline tractography through fiber assignment by continuous tracking.

Results
For the whole brain, 55% of detected connections were found to be convergent, i.e., present in both FDGcov and structural networks. This metric for random networks was significantly lower, i.e., 12%. Convergent were 80% of intralobe connections and only 30% of interhemispheric interlobe connections.

Conclusion
Structural connectivity via white matter fiber tracts is a relevant substrate of FDGcov, underlying around a half of connections at the whole brain level. Short-range white matter tracts appear to be a major substrate of intralobe FDGcov connections.
What non-pharmacological treatments do people with polymyalgia rheumatica try: results from the PMR Cohort Study
Authors: Weddell Jake , Hider Samantha L. , Mallen Christian D. , Muller Sara 
Published: October 2021

AbstractPolymyalgia rheumatica (PMR) is common. The mainstay of treatment, glucocorticoids, are associated with significant adverse effects and many patients remain on high doses for a number of years. Little is known about the use of other, non-pharmacological therapies as adjuncts in PMR. The PMR Cohort Study is an inception cohort study of patients diagnosed with PMR in primary care. This analysis presents data on the use and perceived impact of non-pharmacological therapies from a long-term follow-up survey. Non-pharmacological treatments were classified as either diet, exercise, or complementary therapies. Results are presented as adjusted means, medians, and raw counts where appropriate. One hundred and ninety-seven participants completed the long-term follow-up questionnaire, of these 81 (41.1%) reported using non-pharmacological therapy. Fifty-seven people reported using a form of complementary therapy, 35 used exercise and 20 reported changing their diet. No individual non-pharmacological therapy appeared to be associated with long-term outcomes. The use of non-pharmacological therapies is common amongst PMR patients, despite the paucity of evidence supporting their use. This suggests that people perceive a need for treatment options in addition to standard glucocorticoid regimens. Further research is needed to understand patients’ aims when seeking additional treatments and to strengthen the evidence base for their use so that patients can be guided towards effective options.