bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fluid-structure Interaction Characteristics of Spin-on Fairing Structure of Aerodynamic Simulation Static Load
Authors: Liu Longbin , Yang Songyuan , Jiang Zhenyu 
Published: June 2020

Abstract
With the rapid increase of aircraft speed, the impact of aerodynamic load on the aircraft is more significant, and aerodynamic load will cause the severe deformation of the structure, which will in turn affect the change of aerodynamic load. This paper takes a typical spin-on fairing structure as the study object with the finite element method, using simulated aerodynamic static load to study the effect of aerodynamic pressure on the load and deformation of the spin body structure, which could provide an effective method for the dynamic characteristics of the spin-on body structure, and for the study of aerodynamic load as well. And the results could also provide the initial finite element calculation data support for the damage evolution characteristics of fluid-solid coupling and long-term interaction of spinon fairing structures.
Data Exchange of Digital Twins Based on AML in Space Science Experiment Equipment
Authors: Guqi Peng , Hongen Zhong 
Published: June 2020

Abstract
With the development of Computer Aided Design(CAD) and manufacturing technology, various industries are transforming to digitalization, and the realization of the digital model of aerospace products is an important part of “digital aerospace”. Based on the theory of system engineering, this paper proposes a three-dimensional conceptual model of analysis of payload in the life-cycle of physical device design, as well as the concept of digital twin five-dimensional model in the design stage. Combined with the actual application requirements, this paper explores the content and standards of digital twin model construction of payloads, by using the model mapped to the AutomationML(AML) to realize the data exchange and fusion.
Self-healing performance of intelligently building concrete module
Authors: Zhang J X 
Published: June 2020

Abstract
Intelligent building concrete module is an important part of parametric construction and its self-repairing performance is the premise condition for ensuring the quality of the building. In this paper, some experiments have been done using fly ask, slag, meta-kaolin and silica fume mixed into cement in order to test several performances, including compressive performance, impermeability and self-healing performance. The results demonstrate: the worst healing effect was fly ash, followed by slag, meta-kaolin and silica fume. In the cement-based materials, the self-repair of the cracks mainly concentrated in the early production of cracks, so paid attention to the protection of the early maintenance is the key for self-repair effect.
Evaluation of dew point corrosion in acid atmosphere by wire beam electrode
Authors: Zhao Bo , Yu Yuxin , Guo Jing , Zhou Tianyu , Zou Shiwen , Xu Tong 
Published: June 2020

Abstract
In this article, wire beam electrode (WBE) was used to evaluate the corrosion behavior of ND steel in environmental acid atmosphere with different partial pressure of CO2. Meanwhile, corrosion products and surface morphology analysis also used to support this research. The results showed that the corrosion behavior began from the edge of droplet in dew point corrosion, and gradually spread to the center of it. The spread speed would increasing with CO2 partial pressure enhance, which was 24h in 5% CO2 and 4h in 50% CO2. Corrosion current density in the edge of droplet can form the “cathode-anode-cathode ring" structure, and disappears gradually as the corrosion time was going. Corrosion morphology observation results showed three ring shapes region and different elemental composition of different corrosion products, which is correspondence with the "cathode-anodWe-cathode ring" structure measured in WBE experiments. The results showed that the reaction gradually transferred to the uniform corrosion on electrode surface when the dew point corrosion reaction reaching the late stage. It comes from the dissolution, diffusion and reaction of gaseous corrosion medium of CO2 and O2.
Influence of solution temperature on microstructure and mechanical properties of wrought Al-Si-Mg alloy
Authors: Liu F , Gao F , Yu F X , Zhao D Z 
Published: June 2020

Abstract
The microstructure and mechanical properties of wrought Al-12.7Si-0.7Mg alloy were investigated aiming at understanding the influence of the solution treatmen. The result show that the Si particles were gradually rounded and the grain size increase with increasing the solution temperature from 500°C to 540°C. The alloy in T4 condition changed due to the grain szie, Si particles and the super saturation level of Mg ans Si solute atoms. With higher solution temperature, the volume fraction of the pricipitate becomes more which result in good manchannical properties.
Evolution of microstructure and toughness of very tough ferritic stainless steels
Authors: Gao F , Liu F , Fang C S , Zhang W , Zhang J J , Zou Y 
Published: June 2020

Abstract
In present work, the hot rolling with different finish rolling temperatures and annealing with different annealing temperature are employed with high toughness AISI444 ferritic stainless steel, and different microstructure are generated. It was indicated that low finish rolling temperature could lead to the significant refinement of the rolled and annealed microstructures and decrease the fraction of grains with {001} planes which are parallel to notch plane in the annealed microstructure. Therefore, the ductile-brittle transition temperature was lowered from -44.2°C to -48.8°C, resulting in the improvement of toughness after employing the low finish rolling temperature for ferritic stainless steel. When high annealing temperature can be applied, the coarsening of annealed microstructure occurred, but the fraction of grains with {001} planes which are parallel to notch plane in the recrystallized microstructure decreased. Thus, the ductile-brittle transition temperature has no significant change after annealing with different temperatures.
A Preliminary Study of a Graphene Fractal Sierpinski Antenna
Authors: Boretti Alberto , Rosa Lorenzo , Blackledge Jonathan , Castelletto Stefania 
Published: June 2020

Abstract
We provide a preliminary study of a Graphene fractal antenna operating at THz frequencies with the opportunity to modulate the emission. There are many advantages of the fractal design, namely multiband/wideband ability, and, a smaller, lighter and simpler configuration for higher gain, that can benefit from the coupling with Graphene, the thinnest and strongest of materials exhibiting very high electrical conductivity and tunability. This paper proposes a conceptual background for the study and presents some preliminary results on the electromagnetic emission simulations undertaken.
Mechanical and Thermal Behaviour of Epoxy/Hexagonal Boron Nitride/Short Sisal Fiber Hybrid Composites
Authors: Agrawal Alok , Chandrakar Saurabh , Sharma Abhishek 
Published: June 2020

Abstract
Hybrid composite i.e. surface modified hexagonal boron nitride (hBN) and short sisal fiber reinforced in epoxy matrix is fabricated using hand lay-up method. The effect of surface modified hBN filler and sisal fiber content on mechanical and thermal properties of epoxy based hybrid composites were investigated in this paper. The main aim of the investigation is to develop a material which can found its application in microelectronic components. As per the requirement of microelectronic industry, the material should possess high thermal conductivity. Hence, thermal conductivity of epoxy increases with increase in hexagonal boron nitride content. Inspite of insulative nature of sisal fiber, the study shows that its inclusion in combination with hBN enhances the thermal conductivity if the content of both the fillers were properly selected. Other thermal property like coefficient of thermal expansion and glass transition temperature appreciably improves when combination of fillers were added in epoxy matrix. Mechanical properties under study i.e. tensile strength and compressive strength also enhances when combination of sisal fiber and hBN were incorporated as compared to when single filler hBN were used. Hence, usage of hybrid filler as reinforcement in epoxy improve overall mechanical and thermal property of the developed material.
Morphological and Mechanical Properties of Natural Rubber Compound/Poly(butylene succinate) Blend
Authors: Prasoetsopha N , Thainoi P , Jinnavat R , Charerntanom W , Hasook A , Singsang W 
Published: June 2020

Abstract
Biodegradable poly(butylene succinate) (PBS)/natural rubber compound (NRC) blend was melt mixed using a two-roll mill. A weight ratio of PBS/NRC was 100/0, 90/10, 80/20, 70/30, 60/40 and 50/50. Morphological and mechanical properties were investigated. The results showed that the elongation at break increased with an increase of NRC content until the ratio of 80/20. While the tensile strength continuously decreased with an increasing amount of NRC. Moreover, the impact strength of the PBS/NRC blend increased until the ratio of 80/20 and tended to decrease in the further ratios. Morphology of PBS/NRC blend showed that NRC had good dispersion in PBS matrix up to 80/20. When the amount of NRC was increased, it became a larger particle due to an agglomeration, resulting in the mechanical properties.
Study on the Influence of Blast Furnace Slag on Chloride Ion Penetration Property
Authors: Subpa-asa P , Ken K , Satoshi F , Shigeyuki D 
Published: June 2020

Abstract
Sustainability is becoming more and more important, which is why the concrete and cement industry are attempting to reduce negative impacts to the environment. One of the methods regarding this is to use industry by-products from the manufacturing of steel products like blast furnace slag (BFS) to replace the raw materials required in cement. The chloride ion penetration has to also be taken into consideration since it reinforces the concrete structure. Thus, the influence of BFS on blocking resistance and chloride ion penetration by using BFS with different Blaine value is studied by using “Standard on Test Methods for Chloride Ion Diffusion Coefficients in Concrete” by electrophoresis (Draft) (JSCE-G571-2003)” and the total chloride ion amount was measured in accordance to JIS R 5202. The result is that using BFS in cement has influences on the penetration properties.
Utilization of Waste Lubricating Oil as a Diesel Engine Fuel
Authors: Sharma Abhishek , Gupta Gaurav , Agrawal Alok 
Published: June 2020

Abstract
This research work is focused on the regeneration of used lubricating oils which are simply thrown out to the environment. It is evident from the past research outcome that there is an acute shortage of petroleum oils and regeneration of fuels from used lubricating oils can be potential substitute of fossil fuels. But due to some drawback such as higher viscosity and density it cannot be used as a single fuel. In this regard the distillation of used lubricating oil has been carried out with. Further, this distilled used lubricating oil (DULO) was blended in different proportions with Jatropha biodiesel (JB) which has excess oxygen by about 10%. The aim of the current study is to investigate the performance and emission characteristics of a DI diesel engine run on these blends and comparison with base fuel diesel. The behavior of the engine was evaluated in terms of brake thermal efficiency, brake specific fuel consumption, exhaust gas temperature, carbon monoxide emission, hydrocarbon, nitric oxide emission and smoke opacity. The test result revealed that, the behaviour of the engine run on the JBDULO20 (i.e. 80% JB and 20% DULO) blend was better than other blends considered in the study.
Effects of plasma treatment on properties of carbon fiber and its reinforced resin composites
Authors: Kong Lingmei , Wang Xiaobing , Zheng Wei , Tian Shiwei , Qi Yanyan , Xue Yajuan , Wang Baochun 
Published: June 2020

Abstract
The influence of plasma treatment on the wettability of carbon fiber was studied using the vacuum assisted resin transfer molding (VARTM) process. The influence of plasma treatment on the mechanical properties of carbon fiber-reinforced polymer (CFRP) composites, including interlaminar shear strength and tensile properties, were investigated. The carbon fiber surface chemistry analysis was carried out by Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and x-ray photoelectron spectroscopy (XPS). Results showed that low-temperature plasma treatment had little effect on the surface morphology of the carbon fiber; however, it changed the chemical surface state of the carbon fiber, which contributed to enhance the wettability of the carbon fiber by increasing the perfusion speed of the resin to be more than two times of the original speed. The fiber wettability improvements are of great significance to the preparation of the CFRP composite by the VARTM process. Compared to untreated carbon fiber, the plasma treatment caused an acceptable decrease in tensile properties and offered an increase in the interlaminar shear strength of the CFRP composite. Low-temperature plasma treatment played an important role in the effective preparation and application of the CFRP composite.
Preventative strategies and interventions to improve outcomes during heatwaves
Authors: Brennan Michelle , O’Shea Paula M , Mulkerrin Eamon C 
Published: June 2020

Abstract
Extreme weather events including recently experienced prolonged heatwaves are predicted to increase in frequency and intensity as a result of climate change. Vulnerable groups, and particularly older persons, are at increased risk of heat-related illness and mortality. Multimodal interventions that incorporate community, primary and secondary care programmes are required. Social programmes such as early warning systems, regional heat plans and community-led initiatives that specifically target the isolated, dependent older person are protective. Establishing clear and effective communication on health promotion and preventative measures is the key. Energy-efficient building design and eco-city planning are vital to reduce the impact of heatwaves at both a population and individual level. Anticipatory strategies should be adopted to ensure ample access to fluids, target barriers to increase oral intake and allow early identification of intercurrent illness, along with regular medication reviews. Prompt management of risk factors for the development of heat-related illness and treatment of complications such as heat stroke and cardiovascular events are keys to reducing the negative health impact of extreme heat in at-risk populations. Morbidity and mortality in heatwaves should be preventable. Evidence-based interventions are available to mitigate and prevent the negative health impact of extreme heat and should be implemented in all residential settings.
Acceptability and Usability of Computerized Cognitive Assessment Among Australian Indigenous Residents of the Torres Strait Islands
Authors: Thompson Fintan , Cysique Lucette A , Harriss Linton R , Taylor Sean , Savage Greg , Maruff Paul , Mcdermott Robyn 
Published: June 2020

AbstractObjectivesThis cross-sectional study aimed to investigate the acceptability and usability of the Cogstate Brief Battery (CBB) in a community-based sample of Australian Indigenous people from the Torres Strait region, based on a user experience framework of human–computer interaction.MethodsTwo-hundred community participants completed the four subtests of the CBB on an iPad platform, during a free adult health check on two islands in the region, between October and December 2016. Acceptability was defined as completing the learning trial of a task and usability as continuing a task through to completion, determined by examiner acumen and internal Cogstate completion and integrity criteria. These were combined into a single dichotomous completion measure for logistic regression analyses. Performance—measured as reaction times and accuracy of responses—was analyzed using linear regression analyses.ResultsCBB completion ranged from 82.0% to 91.5% across the four tasks and the odds of completing decreased with age. After adjusting for age, iPad/tablet familiarity increased the odds of completion for all tasks while level of education and employment increased the odds for some tasks only. These variables accounted for 18.0%–23.8% of the variance in reaction times on speeded tasks. Age and education had the most effect, although semipartial correlations were modest.ConclusionsWhen administered in a health-screening context, the acceptability and usability of the CBB were greatest in young- to middle-aged participants with some education and iPad/tablet experience. Older and more vulnerable participants may have benefited from additional time and practice on the CBB prior to administration.
Higher-order Markov models for metagenomic sequence classification
Authors: Burks David J , Azad Rajeev K 
Published: June 2020

Abstract

Motivation
Alignment-free, stochastic models derived from k-mer distributions representing reference genome sequences have a rich history in the classification of DNA sequences. In particular, the variants of Markov models have previously been used extensively. Higher-order Markov models have been used with caution, perhaps sparingly, primarily because of the lack of enough training data and computational power. Advances in sequencing technology and computation have enabled exploitation of the predictive power of higher-order models. We, therefore, revisited higher-order Markov models and assessed their performance in classifying metagenomic sequences.

Results
Comparative assessment of higher-order models (HOMs, 9th order or higher) with interpolated Markov model, interpolated context model and lower-order models (8th order or lower) was performed on metagenomic datasets constructed using sequenced prokaryotic genomes. Our results show that HOMs outperform other models in classifying metagenomic fragments as short as 100 nt at all taxonomic ranks, and at lower ranks when the fragment size was increased to 250 nt. HOMs were also found to be significantly more accurate than local alignment which is widely relied upon for taxonomic classification of metagenomic sequences. A novel software implementation written in C++ performs classification faster than the existing Markovian metagenomic classifiers and can therefore be used as a standalone classifier or in conjunction with existing taxonomic classifiers for more robust classification of metagenomic sequences.

Availability and implementation
The software has been made available at https://github.com/djburks/SMM.

Contact
Rajeev.Azad@unt.edu

Supplementary information
Supplementary data are available at Bioinformatics online.
White Matter Development from Birth to 6 Years of Age: A Longitudinal Study
Authors: Stephens Rebecca L , Langworthy Benjamin W , Short Sarah J , Girault Jessica B , Styner Martin A , Gilmore John H 
Published: June 2020

AbstractHuman white matter development in the first years of life is rapid, setting the foundation for later development. Microstructural properties of white matter are linked to many behavioral and psychiatric outcomes; however, little is known about when in development individual differences in white matter microstructure are established. The aim of the current study is to characterize longitudinal development of white matter microstructure from birth through 6 years to determine when in development individual differences are established. Two hundred and twenty-four children underwent diffusion-weighted imaging after birth and at 1, 2, 4, and 6 years. Diffusion tensor imaging data were computed for 20 white matter tracts (9 left–right corresponding tracts and 2 commissural tracts), with tract-based measures of fractional anisotropy and axial and radial diffusivity. Microstructural maturation between birth and 1 year are much greater than subsequent changes. Further, by 1 year, individual differences in tract average values are consistently predictive of the respective 6-year values, explaining, on average, 40% of the variance in 6-year microstructure. Results provide further evidence of the importance of the first year of life with regard to white matter development, with potential implications for informing early intervention efforts that target specific sensitive periods.
One Hundred Days of Coronavirus Disease 2019 Prevention and Control in China
Authors: Zhou Lei , Wu Zunyou , Li Zhongjie , Zhang Yanping , McGoogan Jennifer M , Li Qun , Dong Xiaoping , Ren Ruiqi , Feng Luzhao , Qi Xiaopeng , Xi Jingjing , Cui Ying , Tan Wenjie , Shi Guoqing , Wu Guizhen , Xu Wenbo , Wang Xiaoqi , Ma Jiaqi , Su Xuemei , Feng Zijian , Gao George F 
Published: June 2020

Abstract
The epidemic of novel coronavirus disease was first reported in China in late December 2019 and was brought under control after some 2 months in China. However, it has become a global pandemic, and the number of cases and deaths continues to increase outside of China. We describe the emergence of the pandemic, detail the first 100 days of China’s response as a phase 1 containment strategy followed by phase 2 containment, and briefly highlight areas of focus for the future. Specific, simple, and pragmatic strategies used in China for risk assessment, prioritization, and deployment of resources are described. Details of implementation, at different risk levels, of the traditional public health interventions are shared. Involvement of society in mounting a whole country response and challenges experienced with logistics and supply chains are described. Finally, the methods China is employing to cautiously restart social life and economic activity are outlined.
On Setting Expectations for a Severe Acute Respiratory Syndrome Coronavirus 2 Vaccine
Authors: Canaday David H , Gravenstein Stefan 
Published: June 2020

Abstract
The global coronavirus pandemic is unlike any other since 1918. A century of dramatic medical advances has produced a public expectation that the medical field will rapidly provide solutions to restore normalcy. In less than 6 months, since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was identified, the massive international effort to develop a SARS-CoV-2 vaccine has generated more than 140 vaccines in different stages of development, with 9 already recruiting into clinical trials posted on ClinicalTrials.gov. The long-term strategy to handle coronavirus disease 2019 (COVID-19) will almost certainly rely on vaccines. But what type of protection can we realistically expect to achieve from vaccines and when?
The Notion of Transparency Order, Revisited
Authors: Li Huizhong , Zhou Yongbin , Ming Jingdian , Yang Guang , Jin Chengbin 
Published: June 2020

Abstract
We revisit the definition of transparency order (TO) and that of modified transparency order (MTO) as well, which were proposed to measure the resistance of substitution boxes (S-boxes) against differential power analysis (DPA). We spot a definitional flaw in original TO, which is proved to significantly affect the soundness of TO. Regretfully, MTO overlooks this flaw, yet it happens to incur no bad effects on the correctness of MTO, even though the start point of this formulation is highly questionable. It is also this neglect that made MTO consider a variant of multi-bit DPA attack, which was mistakenly thought to appropriately serve as an alternative powerful attack. This implies the soundness of MTO is also more or less arguable. Therefore, we fix this definitional flaw and provide a revised definition named reVisited TO (VTO). For demonstrating validity and soundness of VTO, we present simulated and practical DPA attacks on implementations of $4\times 4$ and $8\times 8$ S-boxes. In addition, we also illustrate the soundness of VTO in masked S-boxes. Furthermore, as a concrete application of VTO, we present the distribution of VTO values of optimal affine equivalence classes of $4\times 4$ S-boxes and give some recommended guidelines on how to select $4\times 4$ S-boxes with higher DPA resistance at the identical level of implementation cost.