bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heterogeneous nucleation of YBCO via fluorine based MOD process: thermodynamic and kinetic approach
Authors: Pinto V , Celentano G , Tomellini M 
Published: August 2020

Abstract
The nucleation of YBa2Cu3O7−δ (YBCO) film deposited via metal organic decomposition (MOD) approach is a complex process that has a key role in YBCO film crystalline orientation and, consequently, superconducting properties. Up to now, several studies have been carried out to clarify this step in the fluorine based MOD route which employs only or partially metals trifluoroacetate for the precursor solution preparation. However, these previous works provided only qualitative indications, whereas a quantitative theoretical investigation seems to be still lacking.
In this paper, the free energy for critical nucleus formation of fluorine based MOD YBCO has been determined according to the classical nucleation theory. The volume contribution to the free energy is computed using thermodynamic data on (Y, Ba, Cu, O) systems available from the literature. The free energy barrier for nucleation depends upon nucleus orientation, via the work of adhesion and surface energies of vacuum/nucleus interfaces. The model is applied to describe heterogeneous nucleation of YBCO on (001) SrTiO3 single crystal and provides quantitative information on nucleation barriers as a function of temperature and both precursor and gas phase compositions. Through a kinetic approach, the energy barriers are further employed to estimate the fraction of c-oriented nuclei as a function of temperature and water partial pressure.
Comparison with experimental data from literature lends support to the proposed computations. Therefore, the results shown in this work may be useful in designing the YBCO deposition process in order to obtain films with superior superconducting properties avoiding expensive and time-consuming experimental optimizations.
Superconductivity of lanthanum hydride synthesized using AlH3 as a hydrogen source
Authors: Sakata Masafumi , Einaga Mari , Dezhong Meng , Sato Toyoto , Orimo Shin-ichi , Shimizu Katsuya 
Published: August 2020

Abstract
Hydrogen-rich compounds show high-

T

c

superconductivity related to dense hydrogen under extremely high pressure (above 100 GPa). A recent investigation to search for high-

T

c

superconductive hydrides has advanced a synthesis technique using infrared laser heating of a hydrogen source material under conditions of extremely high pressure and temperature. In order to find a suitable synthesis route for high-

T

c

superconductive hydrides, the selection of a hydrogen source material has to be considered. In this study, the synthesis of hydrogen-rich lanthanum hydrides (LaH
x
) was performed using aluminium trihydride (AlH3) as the hydrogen source. Simple lanthanum on AlH3 was pressurized at 150 GPa and heated by infrared laser irradiation. After the laser heating, superconductivity at

T

c

∼ 70 K was observed at 170 GPa. This indicates that LaH
x
(x

<

10) was synthesized using AlH3 as the hydrogen source under conditions of extremely high pressure.
Improved bone regeneration using collagen-coated biphasic calcium phosphate with high porosity in a rabbit calvarial model
Authors: Seo Seung-Jun , Kim Yong-Gun 
Published: August 2020

Abstract
Many growth factors have been paired with synthetic bone grafts to accelerate the healing process in vivo. Collagen has been particularly examined as a mediator of the enhancement of bone regeneration. This study investigated the new bone formation potential of micro–macroporous biphasic calcium phosphate (m-BCP), high porosity biphasic calcium phosphate (p-BCP), and collagen-coated p-BCP (cp-BCP) using a rabbit calvarial defect model. At 2 or 8 weeks after surgery, bone tissue was collected. The three-dimensional analysis of new bone formation using synchrotron radiation micro-computed tomography and histological study were conducted. The new bone formation values observed at 2 and 8 weeks in the negative control, m-BCP, p-BCP, and cp-BCP groups were 11.21 ± 1.36 mm3, 21.75 ± 1.18 mm3, 24.59 ± 1.26 mm3, and 29.54 ± 2.72 mm3, respectively, and 18.34 ± 3.99 mm3, 32.27 ± 3.78 mm3, 43.12 ± 1.61 mm3, and 58.20 ± 3.84 mm3, respectively. New bone formation was greatest in the cp-BCP group, while the amount of new bone at 8 weeks was higher than at 2 weeks in each group. The use of cp-BCP to enhance new bone formation during the healing period could improve bone regeneration.
STED controlled photobleaching for sub-diffractional optical nanopatterning
Authors: Murtezi Eljesa , Puthukodan Sujitha , Buchegger Bianca , Jacak Jaroslaw , Klar Thomas A 
Published: August 2020

Abstract
Laser-assisted protein adsorption by photobleaching (LAPAP) is a versatile tool to nanopattern proteins on the micrometer scale. Sub-micron patterning is, however, difficult due to diffraction. We show that, similar to stimulated emission depletion (STED) microscopy, a depleting beam can effectively suppress LAPAP and hence is apt to locally control LAPAP in order to write sub-diffractional lines of proteins. Specifically, we attach biotinylated Atto 390 to glass substrates and incubate with Alexa 555 labeled streptavidin. The Alexa 555 is subsequently imaged with STED nanoscopy. The method is currently limited by diffusion of the biotinylated Atto 390 molecules.
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Authors: Parsaeifard Behnam , Sankar De Deb , Christensen Anders S , Faber Felix A , Kocer Emir , De Sandip , Behler Jörg , Anatole von Lilienfeld O , Goedecker Stefan 
Published: August 2020

Abstract
Atomic environment fingerprints are widely used in computational materials science, from machine learning potentials to the quantification of similarities between atomic configurations. Many approaches to the construction of such fingerprints, also called structural descriptors, have been proposed. In this work, we compare the performance of fingerprints based on the overlap matrix, the smooth overlap of atomic positions, Behler–Parrinello atom-centered symmetry functions, modified Behler–Parrinello symmetry functions used in the ANI-1ccx potential and the Faber–Christensen–Huang–Lilienfeld fingerprint under various aspects. We study their ability to resolve differences in local environments and in particular examine whether there are certain atomic movements that leave the fingerprints exactly or nearly invariant. For this purpose, we introduce a sensitivity matrix whose eigenvalues quantify the effect of atomic displacement modes on the fingerprint. Further, we check whether these displacements correlate with the variation of localized physical quantities such as forces. Finally, we extend our examination to the correlation between molecular fingerprints obtained from the atomic fingerprints and global quantities of entire molecules.
Fast reconstruction of single-shot wide-angle diffraction images through deep learning
Authors: Stielow T , Schmidt R , Peltz C , Fennel T , Scheel S 
Published: August 2020

Abstract
Single-shot x-ray imaging of short-lived nanostructures such as clusters and nanoparticles near a phase transition or non-crystalizing objects such as large proteins and viruses is currently the most elegant method for characterizing their structure. Using hard x-ray radiation provides scattering images that encode two-dimensional projections, which can be combined to identify the full three-dimensional object structure from multiple identical samples. Wide-angle scattering using XUV or soft x-rays, despite yielding lower resolution, provides three-dimensional structural information in a single shot and has opened routes towards the characterization of non-reproducible objects in the gas phase. The retrieval of the structural information contained in wide-angle scattering images is highly non-trivial, and currently no efficient rigorous algorithm is known. Here we show that deep learning networks, trained with simulated scattering data, allow for fast and accurate reconstruction of shape and orientation of nanoparticles from experimental images. The gain in speed compared to conventional retrieval techniques opens the route for automated structure reconstruction algorithms capable of real-time discrimination and pre-identification of nanostructures in scattering experiments with high repetition rate—thus representing the enabling technology for fast femtosecond nanocrystallography.
Regulation of sugar metabolism genes in the nitrogen-dependent susceptibility of tomato stems toBotrytis cinerea
Authors: Lacrampe Nathalie , Lopez-Lauri Félicie , Lugan Raphaël , Colombié Sophie , Olivares Jérôme , Nicot Philippe C , Lecompte François 
Published: August 2020

AbstractBackground and AimsThe main soluble sugars are important components of plant defence against pathogens, but the underlying mechanisms are unclear. Upon infection by Botrytis cinerea, the activation of several sugar transporters, from both plant and fungus, illustrates the struggle for carbon resources. In sink tissues, the metabolic use of the sugars mobilized in the synthesis of defence compounds or antifungal barriers is not fully understood.MethodsIn this study, the nitrogen-dependent variation of tomato stem susceptibility to B. cinerea was used to examine, before and throughout the course of infection, the transcriptional activity of enzymes involved in sugar metabolism. Under different nitrate nutrition regimes, the expression of genes that encode the enzymes of sugar metabolism (invertases, sucrose synthases, hexokinases, fructokinases and phosphofructokinases) was determined and sugar contents were measured before inoculation and in asymptomatic tissues surrounding the lesions after inoculation.Key ResultsAt high nitrogen availability, decreased susceptibility was associated with the overexpression of several genes 2 d after inoculation: sucrose synthases Sl-SUS1 and Sl-SUS3, cell wall invertases Sl-LIN5 to Sl-LIN9 and some fructokinase and phosphofructokinase genes. By contrast, increased susceptibility corresponded to the early repression of several genes that encode cell wall invertase and sucrose synthase. The course of sugar contents was coherent with gene expression.ConclusionsThe activation of specific genes that encode sucrose synthase is required for enhanced defence. Since the overexpression of fructokinase is also associated with reduced susceptibility, it can be hypothesized that supplementary sucrose cleavage by sucrose synthases is dedicated to the production of cell wall components from UDP-glucose, or to the additional implication of fructose in the synthesis of antimicrobial compounds, or both.
A review of computational strategies for denoising and imputation of single-cell transcriptomic data
Authors: Patruno Lucrezia , Maspero Davide , Craighero Francesco , Angaroni Fabrizio , Antoniotti Marco , Graudenzi Alex 
Published: August 2020

AbstractMotivationThe advancements of single-cell sequencing methods have paved the way for the characterization of cellular states at unprecedented resolution, revolutionizing the investigation on complex biological systems. Yet, single-cell sequencing experiments are hindered by several technical issues, which cause output data to be noisy, impacting the reliability of downstream analyses. Therefore, a growing number of data science methods has been proposed to recover lost or corrupted information from single-cell sequencing data. To date, however, no quantitative benchmarks have been proposed to evaluate such methods.ResultsWe present a comprehensive analysis of the state-of-the-art computational approaches for denoising and imputation of single-cell transcriptomic data, comparing their performance in different experimental scenarios. In detail, we compared 19 denoising and imputation methods, on both simulated and real-world datasets, with respect to several performance metrics related to imputation of dropout events, recovery of true expression profiles, characterization of cell similarity, identification of differentially expressed genes and computation time. The effectiveness and scalability of all methods were assessed with regard to distinct sequencing protocols, sample size and different levels of biological variability and technical noise. As a result, we identify a subset of versatile approaches exhibiting solid performances on most tests and show that certain algorithmic families prove effective on specific tasks but inefficient on others. Finally, most methods appear to benefit from the introduction of appropriate assumptions on noise distribution of biological processes.
The role of landscape history in the distribution and conservation of threatened flora in the Southwest Australian Floristic Region
Authors: Gosper Carl R , Coates David J , Hopper Stephen D , Byrne Margaret , Yates Colin J 
Published: August 2020

AbstractThe flora of the Southwest Australian Floristic Region (SWAFR) is characterized by remarkable richness, endemism, spatial turnover and numbers of threatened taxa. Increasingly, evolutionary history is recognized as contributing to SWAFR biogeographical patterns, culminating in the theory of old, climatically buffered, infertile landscapes (OCBILs) [and their counterpoint: young, often disturbed, fertile landscapes (YODFELs)]. For the SWAFR, we: (1) developed a spatially explicit distribution of OCBILs and YODFELs; (2) analysed the spatial distribution of Threatened and Priority (Data Deficient) flora; and (3) tested the hypotheses that Threatened and Priority flora will be most strongly represented in OCBILs and will have small geographical ranges. We found that OCBILs and YODFELs dominated spatially distinct portions of the SWAFR. Threatened and Priority flora were not uniformly or randomly distributed and were more strongly characterized by narrow-range endemics than the non-Threatened flora. The occurrence of Threatened and Priority flora was positively correlated with the age of surface exposure of landscape features and unique geological features of limited extent (if not YODFELs). The concentration of Threatened flora in OCBILs provides the opportunity to improve conservation management through investigations of how plant traits favoured by evolution in OCBILs might increase or decrease the susceptibility of the flora to anthropogenic threats.
A review of the fossil record of caecilians (Lissamphibia: Gymnophionomorpha) with comments on its use to calibrate molecular timetrees
Authors: Santos Rodolfo Otávio , Laurin Michel , Zaher Hussam 
Published: August 2020

AbstractGymnophiona, popularly known as caecilians, the most poorly known major taxon of extant amphibians, are elongate and limbless tetrapods, with compact ossified skulls and reduced eyes, mainly adapted to fossorial life as adults. Caecilians are poorly represented in the fossil record, but despite the scarcity of fossil specimens described (only four named taxa, in addition to indeterminate fragmentary material), their fossils play a key role in our knowledge of the origin and evolution of Lissamphibia, as well as contribute directly to a better understanding of the phylogeny, taxonomy and biogeography of extant gymnophionan taxa. These records are scattered throughout geological time (from the Jurassic to the sub-Recent) and space (North and South America and Africa). Here, we revisit the caecilian fossil record, providing a brief description of all known extinct taxa described so far, along with general remarks about their impact on systematics, time range, and geographical distribution of the clade, as well as prospects for future research. Possible calibration constraints based on the caecilian fossil record are provided.
Systematic Error for Extraction of Controlled Substances from Plant/Fungal Materials
Authors: Nagy Júlia , Veress Tibor 
Published: August 2020

Abstract
The aim of this work was to investigate the applicability of a mathematical model developed for the description of supercritical fluid extraction (SFE) of cannabinoids from marijuana and hashish for liquid extraction of other substances. The mentioned model is applicable for dynamic SFE whose implementation is analogous to liquid–solid extraction in quasi-counter current mode. According to this model, quasi-counter current liquid–solid extractions were designed by calculation of component transport constants for extractions of psilocin from hallucinogenic mushroom, mescaline from hallucinogenic cactus, harmine from tropical lyan and salvinorin A from hallucinogenic sage. The mentioned model was found to be suitable for the determination of extraction time needed to reach a predefined extraction recovery for quasi-counter current liquid–solid extractions, as well, which allows the elimination of systematic error caused by the non-extracted part. The calculated component transport constants predict the expectable velocity of the extraction, i.e., the higher the component transport constant is, the higher the extraction velocity is. For mushrooms, it could be stated that preliminary treatment of mushrooms with liquid nitrogen significantly increases the extractability of psilocin.
Audiences’ Communicative Agency in a Datafied Age: Interpretative, Relational and Increasingly Prospective
Authors: Ytre-Arne Brita , Das Ranjana 
Published: August 2020

AbstractThis article develops a conceptualization of audience agency in the face of datafication. We consider how people, as audiences and users of media and technologies, face transforming communicative conditions, and how these conditions challenge the power potentials of audiences in processes of communication—that is, their communicative agency. To develop our conceptualization, we unpack the concept of audiences’ communicative agency by examining its foundations in communication scholarship, in reception theory and sociology, arguing that agency is understood as interpretative and relational, and applied to make important normative assessments. We further draw on emerging scholarship on encounters with data in the everyday to discuss how audience agency is now challenged by datafication, arguing that communicative agency is increasingly prospective in a datafied age. Thereby, we provide a theoretical conceptualization for further analysis of audiences in transforming communicative conditions.
Clarifications of the Russian Supreme Court on General Aspects of Intellectual Property Protection: A Summary
Authors: Kapyrina Natalia 
Published: August 2020

Abstract
Since April 2019, Russian intellectual property law has been enriched by an interpretative Resolution of the highest judicial instance, the Plenary Session of the Supreme Court, which performs, among other prerogatives, the task to ensure the correct and uniform application of law.** The last time a judicial instrument of an equivalent scale was adopted was in 2009 (the Joint Resolution No. 5/29 of 26 March 2009 of the Plenary Sessions of the Supreme Court and of the Supreme Arbitration Court ‘On certain issues arising in connection with the enactment of Part Four of the CCRF’). Back then a significant number of issues deriving from the introduction in 2006 of Part Four of the Civil Code (dedicated to Intellectual Property) were identified, solved and converted into guidance for courts and other legal professionals. Now, subsequent revisions of the legislation, primarily aimed at its ‘modernisation’, as well as the adoption of other modifying instruments (such as the Ruling of the Constitutional Court n° 28-P of 13 December 2016), pushed by a growing IP practice and disparate case law, have provided a fertile ground for this new supreme judicial effort. The outcome is generous – useful to those wishing to acquire a global overview of Russian IP law. It slightly resembles a Prévert’s inventory, as many issues are touched upon with a varying depth, length and degree of sophistication. Although some observers have deplored the avoidance of this or that issue, the document is comprehensive and lengthy (182 paragraphs), and generally lauded by the Russian IP community.1
Deep learning methods applied to electronic monitoring data: automated catch event detection for longline fishing
Authors: Qiao Maoying , Wang Dadong , Tuck Geoffrey N , Little L Richard , Punt Andre E , Gerner Mike 
Published: August 2020

Abstract
Electronic monitoring (EM) systems have become functional and cost-effective tools for the conservation and sustainable harvesting of marine resources. EM is an alternative to on-board observers, which produces video segments that can subsequently be reviewed by analysts. It is currently used in a range of fisheries. There are two major challenges to the widespread adoption of EM. One is the large storage requirement for the video footage recorded and the other is the long time required by analysts to review the video footage. We propose an automated catch event detection framework to address these challenges. Our solution, based on deep learning techniques, automatically extracts video segments of catch events, which substantially reduces storage space and review time by analysts. Here, we demonstrate the framework using video footage from three longline fishing trips. The system recalled nearly 100% of the catch events across all trips.
Community-level consumption of antibiotics according to the AWaRe (Access, Watch, Reserve) classification in rural Vietnam
Authors: Nguyen Nam Vinh , Do Nga Thi Thuy , Nguyen Chuc Thi Kim , Tran Toan Khanh , Ho Phuc Dang , Nguyen Hanh Hong , Vu Huong Thi Lan , Wertheim Heiman F L , van Doorn H Rogier , Lewycka Sonia 
Published: August 2020

Abstract

Objectives
To review community-level consumption of antibiotics in rural Vietnam, according to the WHO Access, Watch, Reserve (AWaRe) classification of 2019, and identify factors associated with the choice of these antibiotics.

Methods
In this cross-sectional study, data on antibiotic purchases were collected through a customer exit survey of 20 community antibiotic suppliers in Ba Vi District, Hanoi, between September 2017 and July 2018. Antibiotic consumption was estimated through the number of antibiotic encounters, the number of DDDs supplied and the number of treatment days (DOTs) with antibiotics, and analysed according to the AWaRe classification. The factors associated with watch-group antibiotic supply were identified through multivariable logistic regression analysis.

Results
In total, there were 1342 antibiotic encounters, with access-group antibiotics supplied in 792 encounters (59.0%), watch-group antibiotics supplied in 527 encounters (39.3%) and not-recommended antibiotics supplied in 23 encounters (1.7%). No reserve-group antibiotics were supplied. In children, the consumption of watch-group antibiotics dominated in all three measures (54.8% of encounters, 53.0% of DOTs and 53.6% of DDDs). Factors associated with a higher likelihood of watch-group antibiotic supply were: private pharmacy (OR, 4.23; 95% CI, 2.8–6.38; P &lt; 0.001), non-prescription antibiotic sale (OR, 2.62; 95% CI, 1.78–3.87; P &lt; 0.001) and children (OR, 2.56; 95% CI, 1.84–3.55; P &lt; 0.001).

Conclusions
High consumption of watch-group antibiotics was observed, especially for use in children. The frequent supply of watch-group antibiotics at private pharmacies reconfirms the need for implementing pharmacy-targeted interventions in Vietnam.