bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fuel Effects in Turbulent Premixed Pre-vaporised Alcohol/Air Jet Flames
Authors: Trabold J. , Hartl S. , Walther S. , Johchi A. , Dreizler A. , Geyer D. 
Published: June 2020

AbstractTo study combustion fundamentals of complex fuels under well-defined boundary conditions, a novel Temperature Controlled Jet Burner (TCJB) system is designed that can stabilise both gaseous or pre-vaporised liquid fuels. In a first experimental exploratory study, piloted turbulent jet flames of pre-vaporised methanol, ethanol, 2-propanol and 2-butanol mixtures are compared to methane/air as a reference fuel. Complementary one-dimensional laminar flame calculations are used to provide flame parameters for comparison. Blow-off and flame length as global flame characteristics are measured over a wide range of equivalence ratios. For fuel rich conditions, blow-off limits correlate well with extinction strain rate calculations. Differing flame lengths from lean to rich conditions are explained partly by different flame wrinkling that is assessed using planar laser-induced fluorescence imaging of the hydroxyl radical (OH-PLIF). A study of Lewis-number effects indicates that they have substantial influence on flame wrinkling. Lean alcohol/air flames, opposed to methane/air, have a Lewis-number greater than unity. This impedes curvature development, which promotes relatively large flame lengths. In contrast, across stoichiometric conditions, all alcohol/air mixture Lewis-numbers decrease significantly. At such conditions, alcohol/air flames show alike or even larger wrinkling compared to methane/air flames. However, quantitatively, the differences in flame length and wrinkling observed among the flames can neither be explained alone by Lewis-number differences, nor other global mixture parameters available from 1D laminar flame calculations. This study shall therefore emphasise the need for more detailed experimental analyses of the full thermochemical state of laminar and turbulent flames fuelled with complex fuels.
Identifying biodiversity knowledge gaps for conserving South Africa’s endemic flora
Authors: Hoveka Lerato N. , van der Bank Michelle , Bezeng Bezeng S. , Davies T. Jonathan 
Published: June 2020

AbstractAs a megadiverse country with a rapidly growing population, South Africa is experiencing a biodiversity crisis: natural habitats are being degraded and species are becoming threatened with extinction. In an era of big biodiversity data and limited conservation resources, conservation biologists are challenged to use such data for cost-effective conservation planning. However, while extensive, key genomic and distributional databases remain incomplete and contain biases. Here, we compiled data on the distribution of South Africa’s > 10,000 endemic plant species, and used species distribution modelling to identify regions with climate suitable for supporting high diversity, but which have been poorly sampled. By comparing the match between projected species richness from climate to observed sampling effort, we identify priority areas and taxa for future biodiversity sampling. We reveal evidence for strong geographical and taxonomic sampling biases, indicating that we have still not fully captured the extraordinary diversity of South Africa’s endemic flora. We suggest that these knowledge gaps contribute to the insufficient protection of plant biodiversity within the country—which reflect part of a broader Leopoldean shortfall in conservation data.
Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation
Authors: Fursov Ilya , Christie Mike , Lord Gabriel 
Published: June 2020

AbstractOne way to quantify the uncertainty in Bayesian inverse problems arising in the engineering domain is to generate samples from the posterior distribution using Markov chain Monte Carlo (MCMC) algorithms. The basic MCMC methods tend to explore the parameter space slowly, which makes them inefficient for practical problems. On the other hand, enhanced MCMC approaches, like Hamiltonian Monte Carlo (HMC), require the gradients from the physical problem simulator, which are often not available. In this case, a feasible option is to use the gradient approximations provided by the surrogate (proxy) models built on the simulator output. In this paper, we consider proxy-aided HMC employing the Gaussian process (kriging) emulator. We overview in detail the different aspects of kriging proxies, the underlying principles of the HMC sampler and its interaction with the proxy model. The proxy-aided HMC algorithm is thoroughly tested in different settings, and applied to three case studies—one toy problem, and two synthetic reservoir simulation models. We address the question of how the sampler performance is affected by the increase of the problem dimension, the use of the gradients in proxy training, the use of proxy-for-the-data and the different approaches to the design points selection. It turns out that applying the proxy model with HMC sampler may be beneficial for relatively small physical models, with around 20 unknown parameters. Such a sampler is shown to outperform both the basic Random Walk Metropolis algorithm, and the HMC algorithm fed by the exact simulator gradients.
First-in-human, phase I single-ascending-dose study of the safety, pharmacokinetics, and relative bioavailability of selatinib, a dual EGFR-ErbB2 inhibitor in healthy subjects
Authors: Wang Meng-na , Kuang Yun , Gong Li-ying , Hua Ye , Pei Qi , Guo Cheng-xian , Cao Yu , Huang Jie , Yang Guo-ping 
Published: June 2020

SummaryWe assessed the pharmacokinetics and safety of a single oral administration of selatinib to healthy Chinese subjects and evaluated the potential bioavailability advantage of selatinib relative to lapatinib. Healthy subjects aged 18–40 years were enrolled in this two-part study: Part 1, a single ascending dose (50–500 mg), randomized, double-blind, placebo-control study with 64 subjects; and Part 2, an open-label, positive control, randomized, three-treatment, three-period, three-sequence crossover design study, with 6 subjects administered a single 500-mg dose of selatinib tablets (A), selatinib suspension (B), or lapatinib tablets C) per cycle. In part 1, selatinib was well-tolerated up to the planned maximum dose of 500 mg; thus the maximum tolerated dose was not attained. Twenty-two adverse events were observed in 19 (36.5%) of the 52 subjects administered the test drug. The most common drug-related adverse event was diarrhea. The mean selatinib peak plasma concentration was 69.4–494 ng/mL, which was achieved in a median peak time of 3.5–4.5 h, with a mean elimination half-life between 13.8 and 15.8 h. In Part 2, A and B showed similar bioavailability. Plasma exposure to the active drug (selatinib plus the metabolite, lapatinib) after A intake was more than two-fold higher than that of the same dose of C. In the dose range of 50–500 mg, selatinib was safe and well-tolerated by healthy Chinese subjects, and it conformed with linear pharmacokinetics. Active exposure to selatinib was much greater than that to lapatinib, supporting its development as an adjuvant for anticancer treatment.
Click chemistry compared to thiol chemistry for the synthesis of site-selective glycoconjugate vaccines using CRM197 as carrier protein
Authors: Stefanetti G. , Allan M. , Usera A. , Micoli F. 
Published: June 2020

AbstractConjugation chemistry is one of the main parameters affecting immunogenicity of glycoconjugate vaccines and a rational approach toward a deeper understanding of their mechanism of action will greatly benefit from highly-defined and well-characterized structures. Herein, different conjugation methods were investigated with the aim of controlling glycosylation site and glycosylation density on the carrier protein. S. Typhimurium lipopolysaccharide O-Antigen and CRM197 carrier protein were used as models. In particular, thiol and click chemistry were examined, both involving the linkage of the terminal reducing sugar unit of the O-Antigen chain to different amino acids on the carrier protein. Thiol chemistry allowed O-Antigen conjugation only when the carrier protein was activated on the lysines and with a relative high number of linkers, while click chemistry allowed conjugate generation even when just one position on the protein was activated and to both lysine and tyrosine sites. The study highlights click chemistry as a leading approach for the synthesis of well-defined glycoconjugates, useful to investigate the relationship between conjugate design and immune response.
The prestige economy of higher education journals: a quantitative approach
Authors: Kwiek Marek 
Published: June 2020

AbstractThis study addresses stratification in the global higher education research community and the changing geography of country affiliations in six elite journals. The distribution of country affiliations is analyzed from a longitudinal perspective (1996–2018), and full-time and part-time authors in the field are contrasted. The prestige maximization model and principal-agent theory provide the theoretical framework for the study, which examines 6334 articles published in six elite journals in the context of 21,442 articles in 41 core journals. The findings indicate that about 3.3% of academics have authored at least five articles (full-timers). These authors constitute the publishing core of the research community, while the 80% who have authored one article (part-timers) constitute its periphery.Higher Education(HE) andStudies in Higher Education(SHE) emerge as elite global journals, with an increasing share of non-Anglo-Saxon authors. Previously globally invisible countries became visible almost exclusively through HE and SHE. Global trends include the diminishing role of American researchers and the increasing role of researchers from Continental Europe, East Asia, and the cluster of 66 “other” countries. The single biggest affiliation loser is the United States, which had 42.5% of country affiliations in 1996–2003 but only 26.9% in 2012–2018. This reflects both the increasing share of non-American affiliations and the increasing yearly volume of HE and SHE publications, in which US academics tend not to publish massively.
Realized ecological niche-based occupancy–abundance patterns of benthic diatom traits
Authors: Lengyel Edina , Szabó Beáta , Stenger-Kovács Csilla 
Published: June 2020

AbstractNowadays, when aquatic habitats are threatened by human and climatic disturbances leading to reductions in biodiversity and ecosystem functions, the study of the abundance–occupancy relationships of species traits and their underlying mechanisms is of great importance to future conservation management. To study the distribution patterns of benthic diatom traits, lakes were sampled during the summer and early autumn. Niche breadth, niche position (NP), regional occupancy and local abundances (LAs) of benthic diatom traits and their combinations were determined along different environmental gradients. Benthic diatom traits were identified in all possible niche types (14% non-marginal–narrow, 37% non-marginal–broad, 8% marginal–narrow and 41% marginal–broad niche). On the basis of increased niche differentiation, it is possible to achieve an improved and more effective utilization of the eco-morphological concept of diatom traits. The relationships between the occupancy, abundance and niche characteristics suggest that the broader the niche, the wider the distribution and the greater the LA; the more marginal the NP, the more restricted spatially the distribution and the lower the LA. With regard to the key factors driving the occupancy of benthic diatom traits in lentic ecosystems, the NP hypothesis proves to be the best predictor of its variation.
Application of Li-, Mg-, Ba-, Sr-, Ca-, and Sn-doped ceria for solar-driven thermochemical conversion of carbon dioxide
Authors: Takalkar Gorakshnath , Bhosale Rahul R. , Rashid Suliman , AlMomani Fares , Shakoor Rana Abdul , Al Ashraf Abdullah 
Published: June 2020

AbstractThe redox reactivity of the Li-, Mg-, Ca-, Sr-, Ba-, and Sn-doped ceria (Ce0.9A0.1O2−δ) toward thermochemical CO2 splitting is investigated. Proposed Ce0.9A0.1O2−δ materials are prepared via co-precipitation of the hydroxide technique. The composition, morphology, and the average particle size of the Ce0.9A0.1O2−δ materials are determined by using suitable characterization methods. By utilizing a thermogravimetric analyzer setup, the long-term redox performance of each Ce0.9A0.1O2−δ material is estimated. The results obtained indicate that all the Ce0.9A0.1O2−δ materials are able to produce steady amounts of O2 and CO from cycle 4 to cycle 10. Based on the average $$ n_{{{\text{O}}_{2} }} $$nO2 released and $$ n_{\text{CO}} $$nCO produced, the Ce0.899Sn0.102O2.002 and Ce0.895Ca0.099O1.889 are observed to be the top and bottom-most choices. When compared with the CeO2 material, all Ce0.9A0.1O2−δ materials showed elevated levels of O2 release and CO production.
Assessment of spontaneous breathing during pressure controlled ventilation with superimposed spontaneous breathing using respiratory flow signal analysis
Authors: Kreyer Stefan , Baker William L. , Scaravilli Vittorio , Linden Katharina , Belenkiy Slava M. , Necsoiu Corina , Muders Thomas , Putensen Christian , Chung Kevin K. , Cancio Leopoldo C. , Batchinsky Andriy I. 
Published: June 2020

AbstractIntegrating spontaneous breathing into mechanical ventilation (MV) can speed up liberation from it and reduce its invasiveness. On the other hand, inadequate and asynchronous spontaneous breathing has the potential to aggravate lung injury. During use of airway-pressure-release-ventilation (APRV), the assisted breaths are difficult to measure. We developed an algorithm to differentiate the breaths in a setting of lung injury in spontaneously breathing ewes. We hypothesized that differentiation of breaths into spontaneous, mechanical and assisted is feasible using a specially developed for this purpose algorithm. Ventilation parameters were recorded by software that integrated ventilator output variables. The flow signal, measured by the EVITA® XL (Lübeck, Germany), was measured every 2 ms by a custom Java-based computerized algorithm (Breath-Sep). By integrating the flow signal, tidal volume (VT) of each breath was calculated. By using the flow curve the algorithm separated the different breaths and numbered them for each time point. Breaths were separated into mechanical, assisted and spontaneous. Bland Altman analysis was used to compare parameters. Comparing the values calculated by Breath-Sep with the data from the EVITA® using Bland–Altman analyses showed a mean bias of − 2.85% and 95% limits of agreement from − 25.76 to 20.06% for MVtotal. For respiratory rate (RR) RRset a bias of 0.84% with a SD of 1.21% and 95% limits of agreement from − 1.53 to 3.21% were found. In the cluster analysis of the 25th highest breaths of each group RRtotal was higher using the EVITA®. In the mechanical subgroup the values for RRspont and MVspont the EVITA® showed higher values compared to Breath-Sep. We developed a computerized method for respiratory flow-curve based differentiation of breathing cycle components during mechanical ventilation with superimposed spontaneous breathing. Further studies in humans and optimizing of this technique is necessary to allow for real-time use at the bedside.
Prior information for population pharmacokinetic and pharmacokinetic/pharmacodynamic analysis: overview and guidance with a focus on the NONMEM PRIOR subroutine
Authors: Chan Kwong Anna H.-X. P. , Calvier Elisa A. M. , Fabre David , Gattacceca Florence , Khier Sonia 
Published: June 2020

Abstract
Population pharmacokinetic analysis is used to estimate pharmacokinetic parameters and their variability from concentration data. Due to data sparseness issues, available datasets often do not allow the estimation of all parameters of the suitable model. The PRIOR subroutine in NONMEM supports the estimation of some or all parameters with values from previous models, as an alternative to fixing them or adding data to the dataset. From a literature review, the best practices were compiled to provide a practical guidance for the use of the PRIOR subroutine in NONMEM. Thirty-three articles reported the use of the PRIOR subroutine in NONMEM, mostly in special populations. This approach allowed fast, stable and satisfying modelling. The guidance provides general advice on how to select the most appropriate reference model when there are several previous models available, and to implement and weight the selected parameter values in the PRIOR function. On the model built with PRIOR, the similarity of estimates with the ones of the reference model and the sensitivity of the model to the PRIOR values should be checked. Covariates could be implemented a priori (from the reference model) or a posteriori, only on parameters estimated without prior (search for new covariates).

Graphic abstract
Fin vs. tech: are trust and knowledge creation key ingredients in fintech start-up emergence and financing?
Authors: Cojoianu Theodor Florian , Clark Gordon L. , Hoepner Andreas G. F. , Pažitka Vladimir , Wójcik Dariusz 
Published: June 2020

AbstractWe investigate how the emergence of fintech start-ups and their financing is shaped by regional knowledge creation and lack of trust in financial services incumbents across 21 OECD countries, 226 regions and over the 2007–2014 period. We find that knowledge generated in the IT sector is much more salient for fostering new fintech start-ups than knowledge generated in the financial services sector. Additionally, the importance of new knowledge created in the financial services sector (IT sector) increases (decreases) as fintech start-ups grow and seek financing. When the level of trust in financial services incumbents falls within a region, this is followed by an increase in the financing provided to fintech start-ups. Nevertheless, regions with historically low average levels of trust in financial services incumbents attract less fintech investment overall.
Drawing impossible boundaries: field delineation of Social Network Science
Authors: Lietz Haiko 
Published: June 2020

Abstract“Big” digital behavioral data increasingly allows large-scale and high-resolution analyses of the behavior and performance of persons or aggregated identities in whole fields. Often the desired system of study is only a subset of a larger database. The task of drawing a field boundary is complicated because socio-cultural systems are highly overlapping. Here, I propose a sociologically enhanced information retrieval method to delineate fields that is based on the reproductive mechanism of fields, able to account for field heterogeneity, and generally applicable also outside scientometric, e.g., in social media, contexts. The method is demonstrated in a delineation of the multidisciplinary and very heterogeneous Social Network Science field using the Web of Science database. The field consists of 25,760 publications and has a historical dimension (1916–2012). This set has high face validity and exhibits expected statistical properties like systemic growth and power law size distributions. Data is clean and disambiguated. The dataset with 45,580 author names and 23,026 linguistic concepts is publically available and supposed to enable high-quality analyses of an evolving complex socio-cultural system.
A novel framework for noninvasive analysis of short-term atrial activity dynamics during persistent atrial fibrillation
Authors: Bonizzi Pietro , Meste Olivier , Zeemering Stef , Karel Joël , Lankveld Theo , Crijns Harry , Schotten Ulrich , Peeters Ralf 
Published: June 2020

AbstractECG-based representation of atrial fibrillation (AF) progression is currently limited. We propose a novel framework for a more sensitive noninvasive characterization of the AF substrate during persistent AF. An atrial activity (AA) recurrence signal is computed from body surface potential map (BSPM) recordings, and a set of characteristic indices is derived from it which captures the short- and long-term recurrent behaviour in the AA patterns. A novel measure of short- and long-term spatial variability of AA propagation is introduced, to provide an interpretation of the above indices, and to test the hypothesis that the variability in the oscillatory content of AA is due mainly to a spatially uncoordinated propagation of the AF waveforms. A simple model of atrial signal dynamics is proposed to confirm this hypothesis, and to investigate a possible influence of the AF substrate on the short-term recurrent behaviour of AA propagation. Results confirm the hypothesis, with the model also revealing the above influence. Once the characteristic indices are normalized to remove this influence, they show to be significantly associated with AF recurrence 4 to 6 weeks after electrical cardioversion. Therefore, the proposed framework improves noninvasive AF substrate characterization in patients with a very similar substrate.
Quality of Life 10 Years After Bariatric Surgery
Authors: Major Piotr , Stefura Tomasz , Dziurowicz Błażej , Radwan Joanna , Wysocki Michał , Małczak Piotr , Pędziwiatr Michał 
Published: June 2020

AbstractPurposeImprovement of the quality of life after bariatric surgery is an important outcome of the treatment. Assessing the long-term QoL results provides better insights into the effectiveness of bariatric surgery.Materials and MethodsThis is a cohort study including patients who underwent bariatric surgery between June 2009 and May 2010 in one academic center. Patients underwent either laparoscopic sleeve gastrectomy (LSG) or laparoscopic Roux-en-Y gastric bypass (LRYGB). Overall, 34 patients underwent LSG (52.3%) and 31 patients underwent LRYGB (47.7%). Preoperatively, and after 1 and 10 years, QoL was assessed using two standardized questionnaires: SF-36 and MA-QoLII. After 10 years, 72% of patients filled out these questionnaires.ResultsThe global QoL score before surgery was 48.3 ± 20.6. At the 1-year follow-up, the global total QoL score was 79.7 ± 9.8. At the 10-year follow-up, the global total QoL score was 65.1 ± 21.4. There was a significant increase in total QoL between measurements before the operation and 10 years after surgery in the whole study group (p = 0.001) and for patients who underwent LSG (p = 0.001). There was no significant difference between total QoL prior to surgery and 10 years after for patients who underwent LRYGB (p = 0.450).ConclusionLSG led to significant improvement in QoL.