bluuebunny/crossref_metadata_2025_split huggingface dataset:
A fast boundary element method using the Z‐transform and high‐frequency approximations for large‐scale three‐dimensional transient wave problems
Authors: Mavaleix‐Marchessoux Damien , Bonnet Marc , Chaillat Stéphanie , Leblé Bruno 
Published: June 2020

SummaryThree‐dimensional (3D) rapid transient acoustic problems are difficult to solve numerically when dealing with large geometries, because numerical methods based on geometry discretization (mesh), such as the boundary element method (BEM) or the finite element method (FEM), often require to solve a linear system (from the spacial discretization) for each time step. We propose a numerical method to efficiently deal with 3D rapid transient acoustic problems set in large exterior domains. Using the ‐transform and the convolution quadrature method, we first present a straightforward way to reframe the problem to the solving of a large amount (the number of time steps, M) of frequency‐domain BEMs. Then, taking advantage of a well‐designed high‐frequency approximation, we drastically reduce the number of frequency‐domain BEMs to be solved, with little loss of accuracy. The complexity of the resulting numerical procedure turns out to be O(1) in regard to the time discretization and for the spacial discretization, the latter being prescribed by the complexity of the used fast BEM solver. Examples of applications are proposed to illustrate the efficiency of the procedure in the case of fluid‐structure interaction: the radiation of an acoustic wave into a fluid by a deformable structure with prescribed velocity and the scattering of an abrupt wave by simple and realistic geometries.
Impact of melphalan dose during reduced‐intensity conditioning on engraftment of cord blood transplantation for chronic Epstein‐Barr virus‐associated T or NK cell lymphoproliferative diseases
Authors: Mayumi Azusa , Sawada Akihisa , Sato Maho , Shimizu Mariko , Ioi Aya , Higuchi Kohei , Yasui Masahiro , Kawa Keisei , Inoue Masami 
Published: June 2020

AbstractThe rejection rate in cord blood transplants for chronic Epstein‐Bar virus‐associated T or natural killer cell lymphoproliferative diseases using our standard reduced‐intensity conditioning “LPAM140 regimen,” which includes fludarabine, melphalan (LPAM), etoposide, and antithymocyte globulin, has been high. To ensure better engraftment, we increased the LPAM dose to 210 mg/m2 (“LPAM210 regimen”). Patient data (n = 22; LPAM140, n = 7; LPAM210, n = 15) were analyzed retrospectively. The engraftment rate after the LPAM210 regimen (100.0%) was significantly higher than that after the LPAM140 regimen (57.1%; P = .002). Fludarabine combined with melphalan (210 mg/m2) had a favorable impact on engraftment.
Sulfonated polyoxadiazole synthesis and processing into ion‐conducting films
Authors: Ilyin Sergey O , Yadykova Anastasia Y , Makarova Veronika V , Yashchenko Vladimir S , Matveenko Yury V 
Published: June 2020

AbstractSulfonated poly(1,3,4‐oxadiazole‐2,5‐diyl‐1,4‐phenyleneoxy‐1,4‐phenylene), poly(1,3,4‐oxadiazole‐2,5‐diyl‐10,10‐dioxophenoxathiine‐2,8‐diyl) and their copolymers were one‐pot synthesized in fuming sulfuric acid with the use of 4,4′‐oxydibenzoic acid and hydrazine sulfate as initial reagents. These copolymers were non‐fusible and did not dissolve in individual liquids except sulfuric acid. However, it was possible to achieve their unlimited solubility using a mixed solvent that contained dimethyl sulfoxide, formamide and water. In dilute and semi‐dilute solutions, the copolymers behaved like polyelectrolytes, while in concentrated solutions they formed gels; moreover, in the case of high polymer content, the gels were in a liquid crystalline state. The degree of sulfonation, temperature and water content in the mixed solvent influenced the state of copolymer solutions, their viscosity and viscoelasticity. The finding of the mixed solvent made it possible to form polymer films whose strength and heat resistance reached 33 MPa and 470 °C, respectively. The ionic conductivity of the films under direct current conditions was 0.001–0.01 μS cm–1 for sodium cations and 0.3–1 mS cm–1 for protons. © 2020 Society of Chemical Industry
A policy framework for social sustainability: Social cohesion, equity and safety
Authors: Ballet Jerome , Bazin Damien , Mahieu François‐Regis 
Published: June 2020

AbstractThe purpose of our paper is to characterize the social pillar using the three criteria of social cohesion, equity and safety. Alongside this characterization we develop a policy framework to promote social sustainability, which has been the subject of much academic interest in recent years. In addition, we demonstrate that the social sustainability policies we advocate are capable of embracing environmental sustainability. Our work therefore provides a fresh perspective on sustainable development policies by emphasizing the importance of the social pillar to the policy making process.
Impact of green manufacturing on consumer ecological behavior: Stakeholder engagement through green production and innovation
Authors: Waheed Abdul , Zhang Qingyu , Rashid Yasir , Tahir Muhammad Sohail , Zafar Muhammad Wasif 
Published: June 2020

AbstractTo pursuit sustainability in all business operations is a notable challenge for firms to survive in today's competitive environment. Customers are the important stakeholders who are becoming mindful regarding the environment‐friendly actions of the organizations. This study investigates the impact of green manufacturing practices (GMP) within two streams—pollution prevention practices (PPP) and product stewardship practices (PSP)—on ecological conscious consumer behavior (ECCB) along with the mediation influence of green product innovation (GPI). Data were gathered from Chinese consumers from those who prefer environment‐friendly products. The findings affirmed the positive nexus between GMP and ECCB. Second, a positive mediation influence of GPI was observed between GMP and ECCB. The multidimensional analysis revealed the positive relationships of PPP and PSP on ECCB, respectively. The findings furnish implications for green production on how organizations can accomplish stakeholder engagement incorporating green practices—GMP, PPP, PSP, and GPI— in their manufacturing operations. This study further suggests future avenues for academicians and practitioners.
Solar‐Driven Carbon Nanoreactor Coupling Gold and Platinum Nanocatalysts for Alcohol Oxidations
Authors: Yang Wenjie , Zhao Jinhui , Tian Hao , Wang Lizhuo , Wang Xinyao , Ye Sheng , Liu Jian , Huang Jun 
Published: June 2020

AbstractThis research reports gold (Au) and platinum (Pt) nanocatalysts spatially confined in a porous carbon nanosphere as a new solar‐driven carbon nanoreactor (CNR). The CNRs have confined size (≈100 nm), high specific surface area, and high thermal and electrical conductivity. The black color of CNR can improve the energy harvest efficiency of the solar irradiation to thermal energy within each nanoreactor. The localized surface plasmon resonance (LSPR) on Au nanocatalysts‐induced electron oscillation causes the localized heating effect inside each CNR. Therefore, the heat will be accumulated in the confined space of CNR and transferred to reaction energy to drive the alcohol oxidation on uniformly dispersed Au and Pt nanoparticles inside the nanoreactor. The energetic electrons induced by LSPR effect on the surface of Au nanoparticles are transferred to the nearby and more active Pt surface via the conductive CNR, which strongly enhances the conversion of cinnamyl alcohol from 14% on Pt‐CNR up to 100% on AuPt‐CNR after a 3 h reaction. Therefore, the cooperative effect of Au and Pt nanoparticles confined in the CNRs utilized in this work can largely increase the efficiency of harvesting solar energy to drive the important chemical processes.
Smart factory in Industry 4.0
Authors: Shi Zhan , Xie Yongping , Xue Wei , Chen Yong , Fu Liuliu , Xu Xiaobo 
Published: June 2020

AbstractThe transformation from traditional manufacturing to intelligent manufacturing intrigues the profound and lasting effect on the future manufacturing worldwide. Industry 4.0 was proposed for advancing manufacturing to realize short product life cycles and extreme mass customization in a cost‐efficient way. As the heart of Industry 4.0, smart factory integrates physical technologies and cyber technologies and makes the involved technologies more complex and precise in order to improve performance, quality, controllability, management, and transparency of manufacturing processes. So far, leading manufacturers have begun the journey toward implementing smart factory. However, most firms still lack insight into the challenges and resources for implementing smart factory. As such, this paper identifies the requirements and key challenges, investigates available new technologies, reviews existing studies that have been done for smart factory, and further provides guidance for manufacturers to implementing smart factory in the context of Industry 4.0.
Long‐Term Population Dynamics and Habitat Association of the Federally Threatened Spotfin Chub in the Little Tennessee River
Authors: Doll Jason C. , Etchison Luke , Russ William T. , Fraley Stephen J. 
Published: June 2020

AbstractUnderstanding the population dynamics of rare and endangered species can be difficult, particularly when a species has a narrow geographic range. The Spotfin Chub Erimonax monachus is both federally and state (North Carolina) listed as threated and is endemic to the Tennessee River basin in the southeastern United States. The Spotfin Chub was once found throughout the Tennessee River basin, but its range has been reduced to four river systems. The Little Tennessee River contains the only known population of Spotfin Chubs in North Carolina. However, current efforts are ongoing to restore populations in the Cheoah River (Little Tennessee River basin). The goal of this study was to evaluate the status of Spotfin Chubs in the Little Tennessee River and to determine potential information gaps to guide future studies. Specifically, we evaluated temporal trends of the Spotfin Chub in the river using a state–space model that incorporated multiple data sources. We additionally evaluated current habitat availability to better understand how habitat could be driving site‐level variation in abundance. We found an overall increasing trend in Spotfin Chub abundance over time, but there was substantial variation across years. By linking abundance trends to current habitat availability, we found that sites with generally more bedrock also had the highest estimated abundance. The Spotfin Chub population appears to be stable; however, determining more specific population demographics (e.g., recruitment and mortality) would improve our understanding of this threatened species.
Gravity prior in human behaviour: a perceptual or semantic phenomenon?
Authors: Gallagher Maria , Torok Agoston , Klaas Johanna , Ferrè Elisa Raffaella 
Published: June 2020

AbstractHumans show a gravitational advantage in perception: we are more precise at judging the speed of downwards-moving than upwards-moving objects, indicating that gravitational acceleration is an internalised prior. However, it is unclear whether this gravity prior is based on purely perceptual cues or whether it can incorporate semantic knowledge. Previous research has used only objects which are known to comply with gravity, possibly confounding semantic and perceptual cues. Here we have addressed this question by asking participants to judge the speed of objects that typically move coherently with gravity (ball) or against it (rocket). Our results showed a perceptual advantage for falling stimuli, irrespective of object identity, suggesting the gravity prior is based on perceptual cues.
Cell extract gels as an example of active matter
Authors: Wisniewska Agnieszka , Kalwarczyk Tomasz , Szymanski Jedrzej , Kryszczuk Katarzyna , Matula Kinga , Holyst Robert 
Published: June 2020

AbstractCell lysates (cellular extracts) constitute a perfect imitation of the intracellular environment that can provide insight into cellular response to external stimuli. However, most of the presented results are performed for diluted lysates that do not reflect the actual properties of a crowded cellular environment. Here, we report for the first time the measurement of the viscosity and shear storage modulus of highly concentrated Escherichia coli (E. coli) lysates with and without adenosine triphosphate (ATP). By cleavage of DNA content, we showed the value of shear storage modulus $G^{\prime }$

G

′

decreases by 19–31% in comparison to control samples. The addition of molecules that provides energy (ATP) allowed to rebuild the structure of the lysate by reversibly increasing viscous properties over elastic ones. When the energy delivered in the form of ATP is consumed by the unliving bacterial lysate, the system returns to its initial state.
Deep reinforcement learning for drone navigation using sensor data
Authors: Hodge Victoria J. , Hawkins Richard , Alexander Rob 
Published: June 2020

AbstractMobile robots such as unmanned aerial vehicles (drones) can be used for surveillance, monitoring and data collection in buildings, infrastructure and environments. The importance of accurate and multifaceted monitoring is well known to identify problems early and prevent them escalating. This motivates the need for flexible, autonomous and powerful decision-making mobile robots. These systems need to be able to learn through fusing data from multiple sources. Until very recently, they have been task specific. In this paper, we describe a generic navigation algorithm that uses data from sensors on-board the drone to guide the drone to the site of the problem. In hazardous and safety-critical situations, locating problems accurately and rapidly is vital. We use the proximal policy optimisation deep reinforcement learning algorithm coupled with incremental curriculum learning and long short-term memory neural networks to implement our generic and adaptable navigation algorithm. We evaluate different configurations against a heuristic technique to demonstrate its accuracy and efficiency. Finally, we consider how safety of the drone could be assured by assessing how safely the drone would perform using our navigation algorithm in real-world scenarios.
Local regularity for an anisotropic elliptic equation
Authors: Liao Naian , Skrypnik Igor I. , Vespri Vincenzo 
Published: June 2020

AbstractWe establish the interior Hölder continuity for locally bounded solutions, and the Harnack inequality for non-negative continuous solutions to a class of anisotropic elliptic equations with bounded and measurable coefficients, whose prototype equation is $$\begin{aligned} u_{xx}+\varDelta _{q,y} u=0\quad {\text { locally in }}{\mathbb {R}}\times {\mathbb {R}}^{N-1},\quad {\text {for }}q<2, \end{aligned}$$

u

xx

+

Δ

q
,
y

u
=
0

locally in

R
×

R

N
-
1

,

for

q
<
2
,

via ideas and tools originating from the regularity theory for degenerate and singular parabolic equations.
Exploring transformational outcomes from donor investments in agroforestry research for development
Authors: Bartlett Anthony G. 
Published: June 2020

AbstractWhile many agroforestry research projects contribute to improving food security, livelihoods and management of natural resources, few have had a significant role in achieving transformational development outcomes. Evaluating the achievements and impacts of multiple research for development (R4D) projects improves understanding of how and why different development interventions work or don’t work. This paper evaluates the relative success of 15 completed agroforestry R4D projects, funded by the Australian Centre for International Agricultural Research, and analyses key success factors and other aspects that have contributed to differential project success. The evaluation found that six projects had achieved both high achievement of planned activities and had high impacts. The two key success factors considered by project scientists to have the greatest influence on project success were “good leadership and project management” and “collaborative scoping and design”, but the factor “links to impact pathways and user benefits” was also found to be a determinant of high achievement-high impact projects. The paper examines aspects of three most successful agroforestry projects, implemented in Eastern Africa, Vietnam and Papua New Guinea, that have enabled these projects to contribute to transformational development outcomes. These aspects included the development of simple farmer-friendly, locally-appropriate agroforestry technologies, the existence of supportive government policies and programs including effective mechanisms for dissemination of germplasm and tree-growing knowledge to farmers, the engagement of non-government organisations and private sector entities, and the willingness of the donor to invest in value-added product development, effective value-chains and market research.
Caulifigura coniformis gen. nov., sp. nov., a novel member of the family Planctomycetaceae isolated from a red biofilm sampled in a hydrothermal area
Authors: Kallscheuer Nicolai , Wiegand Sandra , Boedeker Christian , Peeters Stijn H. , Jogler Mareike , Heuer Anja , Jetten Mike S. M. , Rohde Manfred , Jogler Christian 
Published: June 2020

AbstractPan44T, a novel strain belonging to the phylum Planctomycetes, was isolated from a red biofilm in a hydrothermal area close to the island Panarea in the Tyrrhenian Sea north of Sicily, Italy. The strain forms white colonies on solid medium and displays the following characteristics: cell division by budding, formation of rosettes, presence of matrix or fimbriae and long stalks. The cell surface has an interesting and characteristic texture made up of triangles and rectangles, which leads to a pine cone-like morphology of the strain. Strain Pan44T is mesophilic (temperature optimum 26 °C), slightly alkaliphilic (pH optimum 8.0), aerobic and heterotrophic. The strain has a genome size of 6.76 Mb with a G + C content of 63.2%. Phylogenetically, the strain is a member of the family Planctomycetaceae, order Planctomycetales, class Planctomycetia. Our analysis supports delineation of strain Pan44T from all known genera in this family, hence, we propose to assign it to a novel species within a novel genus, for which we propose the name Caulifigura coniformis gen. nov., sp. nov., represented by Pan44T (DSM 29405T = LMG 29788T) as the type strain.
Maternal Sociodemographic Factors Are Associated with Methylphenidate Initiation in Children in the Netherlands: A Population-Based Study
Authors: Cheung K. , El Marroun H. , Dierckx B. , Visser L. E. , Stricker B. H. 
Published: June 2020

AbstractMultiple factors may contribute to the decision to initiate methylphenidate treatment in children such as maternal sociodemographic factors of which relatively little is known. The objective was to investigate the association between these factors and methylphenidate initiation. The study population included 4243 children from the Generation R Study in the Netherlands. Maternal sociodemographic characteristics were tested as determinants of methylphenidate initiation through a time-dependent Cox regression analysis. Subsequently, we stratified by mother-reported ADHD symptoms (present in 4.2% of the study population). When ADHD symptoms were absent, we found that girls (adjusted HR 0.25, 95%CI 0.16–0.39) and children born to a mother with a non-western ethnicity (compared to Dutch-Caucasian) (adjusted HR 0.42, 95%CI 015–0.68) were less likely to receive methylphenidate. They were more likely to receive methylphenidate when their mother completed a low (adjusted HR 2.29, 95%CI 1.10–4.77) or secondary (adjusted HR 1.71, 95%CI 1.16–2.54) education. In conclusion, boys and children born to a mother of Dutch-Caucasian ethnicity were more likely to receive methylphenidate, irrespective of the presence of ADHD symptoms.
Modelling the Asymmetrical Relationships between Digitalisation and Sustainable Competitiveness: A Cross-Country Configurational Analysis
Authors: Delgosha Mohammad Soltani , Saheb Tahereh , Hajiheydari Nastaran 
Published: June 2020

AbstractSustainable competitiveness (SC) encourages nations not only to meet the needs of the current generation but also to sustain or even expand national wealth in the future without depleting natural and social capital. Drawing on complexity theory, we used a configurational approach to identify under what necessary and sufficient conditions, digitalisation contributes to achieve higher SC. Shifting attention from net effects to configuration analysis improves our understanding of cross-national differences in sustainability by exploring how the digitalisation factors combine to strengthen SC power across countries. To address the complexity of this configuration, we have incorporated fsQCA and NCA techniques in the modelling of high and low levels of sustainable competitiveness recipes. Analysis of data from 127 countries advanced our perception of how access to ICT infrastructures and capabilities, combined with the adoption and usage of ICT could result in different degrees of sustainable competitiveness. Theoretically, this study contributes to the literature on digitalisation and national sustainability; and it can practically act as a guideline for policymakers to understand the complex interactions and causal configurations of digitalisation factors on sustainability.
A prediction model for vertical-to-horizontal spectral ratios of ground motions on the seafloor for moderate magnitude events for the Sagami Bay region in Japan
Authors: Tan Jingyang , Hu Jinjun 
Published: June 2020

AbstractA prediction model for offshore vertical-to-horizontal (V/H) spectral ratios of peak ground acceleration (PGA) and 5%-damped elastic response spectra for periods ranging from 0.01 to 10 s for an offshore area off Sagami Bay was developed. To compare differences between offshore and onshore ground motions in theV/Hspectral ratios, an onshoreV/Hprediction model was derived for onshore stations adjacent to the studied offshore sites. The offshore dataset includes 738 three-component records, and the onshore dataset includes 2219 records; both datasets are derived from the same set of 233 earthquakes selected for this study. The moment magnitude, hypocentral distance, focal depth, tectonic source type, and individual site correction term are used as independent variables in theV/Hmodels. A comparison drawn between the offshore and onshore models shows that theV/Hspectral ratios of offshore ground motions are obviously smaller than those of the onshore motions over short periods (< 1.0 s) but are comparable for periods of longer than 1.0 s. Water layer reduces vertical ground motions, especially over short periods, and as the periods increase, the effect of water layer decreases. The effect of the moment magnitude on offshoreV/Hratios is stronger than that of onshore ratios, especially for long periods; the effect of hypocentral distance and focal depth is considerable for long periods for offshoreV/Hratios, and theV/Hratios between offshore sites are very different due to complex local site geologies beneath the offshore stations.