bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fully-staggered-array bulk Re-Ba-Cu-O short-period undulator: large-scale 3D electromagnetic modelling and design optimization using A-V and H-formulation methods
Authors: Zhang Kai , Ainslie Mark , Calvi Marco , Kinjo Ryota , Schmidt Thomas 
Published: August 2021

Abstract
The development of a new hard x-ray beamline I-TOMCAT equipped with a 1 m long short-period bulk high-temperature superconductor undulator (BHTSU) has been scheduled for the upgrade of the Swiss Light Source at the Paul Scherrer Institute. The very hard x-ray source generated by the BHTSU will increase the brilliance at the beamline by over one order of magnitude in comparison to other state-of-the-art undulator technologies and allow experiments to be carried out with photon energies in excess of 60 keV. One of the key challenges for designing a 1 m long (100 periods) BHTSU is the large-scale simulation of the magnetization currents inside 200 staggered-array bulk superconductors. A feasible approach to simplify the electromagnetic model is to retain five periods from both ends of the 1 m long BHTSU, reducing the number of degrees of freedom to the scale of millions. In this paper, the theory of the recently-proposed 2D
A

-V formulation-based backward computation method is extended to calculate the critical state magnetization currents in the ten-period staggered-array BHTSU in 3D. The simulation results of the magnetization currents and the associated undulator field along the electron beam axis are compared with the well-known 3D
H
-formulation and the highly efficient 3D
H
-ϕ formulation method, all methods showing excellent agreement with each other as well as with experimental results. The mixed
H
-ϕ formulation avoids computing the eddy currents in the air subdomain and is significantly faster than the full
H
-formulation method, but is slower in comparison to the
A

-V formulation-based backward computation. Finally, the fastest and the most efficient
A

-V formulation, implemented in ANSYS 2020R1 Academic, is adopted to optimize the integrals of the undulator field along the electron beam axis by optimizing the sizes of the end bulks.
Electromigration tuning of the voltage modulation depth in YBa2Cu3O

7−δ

nanowire-based SQUIDs
Authors: Trabaldo E , Garibaldi A , Lombardi F , Bauch T 
Published: August 2021

Abstract
Oxygen electromigration applied to a YBa2Cu3O

7
−
δ

nanowire can be used to tune its electrical properties. Here, we apply electromigration to YBCO nanowire-based superconducting quantum interference devices (SQUIDs) and study its effect on the voltage modulation depth of the devices. Using a dc electromigration current we replenish the oxygen of the weak links, improving the critical current symmetry of the SQUIDs. AC current electromigration is used to reduce the doping level of the weak links, thus reducing their critical current and increasing differential resistance. Both type of electromigration processes are found to improve the SQUIDs performance, although the best results are obtained with ac biased electromigration, which improved the voltage modulations of the SQUIDs by a factor as high as 8. This procedure can be instrumental to fine tune ex-situ the properties of superconducting electronics where a large number of weak links are required.
Influence of asphaltene esterification conditions on product composition
Authors: Korneev D S , Dvoeglazova D E , Kudrevatykh A A , Klimenko L S , Vtorushina E A , Kapustyanskaya P A 
Published: August 2021

Abstract
The article is devoted to the study of reactivity and composition of oil asphaltene esterification products formed in reactions of various duration with and without solvent. As a result of the study, high reactivity of asphaltenes in reaction of esterification with isopropyl alcohol for 40 hours was first shown. Products contain 40 % wt. of fractions soluble in n-heptane and isopropyl alcohol. The increase in the duration of the reaction from 40 to 120 hours leads to counter reaction with the decrease in forming less polar substances by 5-6 % wt. Adding solvent (benzene) into the reaction mixture also negatively influences the effectiveness of asphaltene esterification for 40 hours. The results obtained show that the suggested approach is promising for chemical processing of asphaltene concentrates into less polar low-molecular products.
Ultrasonic Assisted Friction Stir Welding of Ti-Al Bimetals
Authors: Ermakova S A , Eliseev A A , Vorontsov A V , Savchenko N L 
Published: August 2021

Abstract
High performance and reduced weight and cost are gaining importance in the aviation industry. There are different approaches to meet these requirements. In this study, titanium and aluminum alloys were welded using friction stir welding. The samples were divided into two groups, one of which was welded using ultrasound. Studies have shown that the strength of samples is influenced by many factors that are usually not taken into account. For example, the complexity of the interface between dissimilar materials and its roughness. It was found that the application of ultrasound during welding often increases the complexity of the interface and decreases its roughness, which generally leads to strengthening. This effect can neutralize the increase in the volume fraction of intermetallic compounds during the intensification of the welding process. The final strength consists of the number of defects, the volume fraction of intermetallics and the complexity of the interface.
Synthesis of stable sols based on titanium dioxide, silicon and metal ion for use in photocatalysis
Authors: Buzaev A A , Rogacheva A O , Zharkova V V , Kozik V V 
Published: August 2021

Abstract
The paper presents the study of physicochemical processes occurring during the preparation of film-forming solutions, as well as the effect of the component composition on the stability of film-forming solutions over time. Compositions of stable film-forming solutions of TBT, TBT-TEOS, TBT-TEOS-AgNO3 suitable for the formation of thin-film coatings have been developed, and the time periods of stability of rheological properties have been determined. It was found that the addition of tetrabutoxytitanium after the establishment of chemical equilibrium in the solution increases the stability of the film-forming solutions. Optimization of the method of solutions preparation for obtaining films with reproducible physicochemical properties has been carried out.
Study of keff values of different distributions and types of burnable poisons in VVER-1000 reactor using SuperMC
Authors: Xu Y B , Bedenko S V 
Published: August 2021

Abstract
This paper presents the impact of different types of burnable poisons and filling methods on burnup in the VVER-1000 reactor. In this study, SuperMC was used to visually model the fuel assembly of the VVER-1000 reactor, perform burnup calculations and compare the results. Five groups (Homogeneous Gd2O3, Heterogeneous Gd2O3 1and 2, Homogeneous AmO2, Pure UO2) of different burnable poisons are modeled with fuel assembly as a unit, and the results will be analyzed by comparing the difference of keff.
Formation of gradient porous composites from preceramic papers with Ti3SiC2 powder filler
Authors: Mingazova Y R , Kashkarov E B , Syrtanov M S , Sedanova E P , Krotkevich D G , Travitzky N 
Published: August 2021

Abstract
This article is devoted to fabrication of gradient Ti3SiC2-based composites using preceramic papers as a feedstock. The initial raw material is a stack of preceramic paper with a Ti3SiC2 powder filler, the content of which varies from 60 to 90% every three layers. The composites were obtained by spark plasma sintering (SPS) method at 10 MPa pressure for 10 min holding time. The sintering temperature was 1250 °C. The microstructure and phase composition of the obtained gradient composites were analyzed.
Mathematical modeling of the interaction of a model water molecule with a membrane based on cells of double-walled open carbon nanotubes
Authors: Demidenko I S , Khilchuk M D , Tarasov E A 
Published: August 2021

Abstract
In this work, the process of interaction of a cell of four double-walled nanotubes with a water molecule was numerically simulated. The simulation results show that under normal conditions, water molecules pass through a cell of nanotubes in a plane parallel to the length of the tubes, and in a plane perpendicular to the length, the structure for such molecules is not passable.
Structure and properties of silumin irradiated with a pulse electron beam
Authors: Ustinov A M , Klopotov A A , Zagulyaev D V , Ivanov Yu F , Abzaev Yu A , Nikonenko E L , Tsvetkov N A 
Published: August 2021

Abstract
The samples of silumin were irradiated with a pulsed electron beam. Studies of the structure and phase composition of the modified layer have been carried out. The formation of a submicro-nanocrystalline multiphase structure, formed as a result of high-speed crystallization of the surface layer, is revealed. Mechanical tensile tests were performed on samples of irradiated silumin, and an increase in the plasticity of the material by 1.2 times was revealed. It is shown that this effect is caused by stabilization of local macroregions with the compression deformation.
Graph Neural Network and its applications
Authors: Gao Jiawei , Hao Lexin 
Published: August 2021

Abstract
In recent years, people have become more interested in expanding deep learning methods on graphs, and a lot of progress has been made in the field. Although traditional deep learning methods have been applied to extract the features of Euclidean spatial data with great success, the data in many practical application scenarios are generated from non-Euclidean spaces. The performance of traditional deep learning methods in processing non-Euclidean spatial data is still not optimistic. Driven by the success of many factors, the researchers used the ideas of convolutional networks, recurrent networks, and deep autoencoders to define and design the neural network structure for processing graph data. This is a new research hotspot— Graph Neural Networks (GNNs). It is necessary to summarize the latest GNNs-related studies and propose improved algorithms to further promote breakthroughs in more applications of GNNs. This paper mainly provides an overview of the current research status of graph neural networks and proposes future work from three aspects.
Comprehensive Analysis Based on Massive Taxi Trajectory Data
Authors: Tan Longyan 
Published: August 2021

Abstract
With the increasing demand for taxis, a large number of taxi trajectory data have been used for in-depth analysis. However, most early studies only used limited data or simulations to analyze the route choice behavior or traffic congestion problems. To extract more useful information from taxi trajectory data, this paper analyzes massive raw dates collected in Chengdu from 4 different perspectives. To begin with, passenger demand is analyzed by counting the number of orders in each period. K-means clustering is used for regional planning and provides appropriate boarding points for passengers. Furthermore, this paper focus on quantity duration of order duration, which presents an approximate Poisson distribution. Finally, the ratio of driving distance to the linear distance between the start and end points is defined as the overtravel ratio. Through the comprehensive analysis of the taxi trajectory data, it can provide assistance to the travel demand of passengers and the scheduling of taxi drivers, and maximize resource efficiency. Moreover, the data collected in Chengdu are very representative and large, so the corresponding suggestions can also provide hints for public transport problems.
Stock selection strategy based on double objective programming
Authors: Zhang Qi , Yang FanYi , Wang YuBo 
Published: August 2021

Abstract
This paper studies the securities market in which the stock market fluctuates. Because the market fluctuation plays an important role in the analysis of people’s risk return, the maximization of shareholders’ equity and the effective supervision of the regulators, how to study the law of the securities market fluctuation and what are the causes of the market fluctuation have become the necessary problems in the current study of the securities market.Lagrange interpolation is used to complete the data, and the time series prediction model is established to predict the closing of the next 100 days. The multi-objective programming is carried out by using the prediction data. Under the consideration of multiple constraints, lingo programming is used to solve the equations. The final portfolio is as follows: stock 2 accounts for 0.18, stock 3 accounts for 0.3, stock 5 accounts for 0.22, and stock 10 accounts for 0.29.The model was evaluated and five groups of data were selected.Using MAPE index to judge the error between the predicted result and the real value, the accuracy of the predicted result can be judged if the calculated result is about 0.1.By analyzing the new portfolio and processing the attachments, the investment benefits of the newly selected portfolio are all positive, and the expected income is also positive, which verifies the effectiveness of the model.
A insider threat detection system based on user and entity behavior analysis
Authors: Liu Haowei 
Published: August 2021

Abstract
Under the background of “digital new era”, the trend of network environment diversification and personnel technical requirements complexity is becoming more and more intense. After the “Prism Gate” incident was exposed, the public began to think deeply about insider security. At present, most organizations adopt security information and event management (SIEM) security policies and the rules to carry out insider security detection. However, with the surge of insider information data, the number of false alarms and false alarms due to the lack of context increases, which consumes a lot of time and human and material resources. Based on these problems, it is particularly important to develop a new insider safety inspection system and tools. This work proposes to develop an insider threat detection system based on the security strategy of user and entity behavior analysis to realize the detection and analysis of insider threat with high precision. The main work is as follows:This work abandons the traditional SIEM combined rules to determine the anomaly, but adopts the detection strategy of User and Entity Behavior Analysis (UEBA).This work proposes an improved LSTM-GaN insider threat detection algorithm.
Hemodynamic and Functional Correlates of Concentric vs. Eccentric LVH in a Community-Based Sample With Prevalent Volume-Dependent Hypertension
Authors: Bello Hamza , Norton Gavin R , Peterson Vernice R , Libhaber Carlos D , Mmopi Keneilwe N , Mthembu Nonhlanhla , Masiu Mohlabani , Da Silva Fernandes Daniel , Bamaiyi Adamu J , Peters Ferande , Sareli Pinhas , Woodiwiss Angela J 
Published: August 2021

Abstract

BACKGROUND
Whether in volume-dependent primary hypertension, concentric left ventricular (LV) remodeling beyond hypertrophy (LVH) represents the impact of a pressure rather than a volume overload, is unclear.

METHODS
Using central arterial pressure, and aortic velocity and diameter measurements in the outflow tract (echocardiography), we determined the factors that associate with concentric LVH or remodeling in a community of African ancestry (n = 709) with prevalent volume-dependent primary hypertension.

RESULTS
Both left ventricular mass index (LVMI) and relative wall thickness (RWT) were positively and independently associated with end diastolic volume (EDV), stroke volume (SV), and peak aortic flow (Q) (P &lt; 0.05 to &lt;0.0001). However, neither LVMI nor RWT were positively and independently associated with systemic vascular resistance (SVR), or aortic characteristic impedance (Zc) or inversely associated with total arterial compliance (TAC). Consequently, both concentric (P &lt; 0.0001) and eccentric (P &lt; 0.0001) LVH were associated with similar increases in EDV, SV, and either office brachial, central arterial, or 24-hour blood pressures (BP), but neither increases in SVR or Zc nor decreases in TAC. LV RWT, but not LVMI was nevertheless independently and inversely associated with myocardial systolic function (midwall shortening and s′) (P &lt; 0.05 to &lt;0.005) and decreases in LV systolic function were noted in concentric (P &lt; 0.05), but not eccentric LVH.

CONCLUSIONS
In volume-dependent primary hypertension, concentric LVH is determined as much by volume-dependent increases in systemic flow and an enhanced BP as eccentric LVH. Concentric remodeling nevertheless reflects decreases in systolic function beyond LVH.
Using high-throughput multi-omics data to investigate structural balance in elementary gene regulatory network motifs
Authors: Zenere Alberto , Rundquist Olof , Gustafsson Mika , Altafini Claudio 
Published: August 2021

Abstract

Motivation
The simultaneous availability of ATAC-seq and RNA-seq experiments allows to obtain a more in-depth knowledge on the regulatory mechanisms occurring in gene regulatory networks. In this article, we highlight and analyze two novel aspects that leverage on the possibility of pairing RNA-seq and ATAC-seq data. Namely we investigate the causality of the relationships between transcription factors, chromatin and target genes and the internal consistency between the two omics, here measured in terms of structural balance in the sample correlations along elementary length-3 cycles.

Results
We propose a framework that uses the a priori knowledge on the data to infer elementary causal regulatory motifs (namely chains and forks) in the network. It is based on the notions of conditional independence and partial correlation, and can be applied to both longitudinal and non-longitudinal data. Our analysis highlights a strong connection between the causal regulatory motifs that are selected by the data and the structural balance of the underlying sample correlation graphs: strikingly, &gt;97% of the selected regulatory motifs belong to a balanced subgraph. This result shows that internal consistency, as measured by structural balance, is close to a necessary condition for 3-node regulatory motifs to satisfy causality rules.

Availability and implementation
The analysis was carried out in MATLAB and the code can be found at https://github.com/albertozenere/Multi-omics-elementary-regulatory-motifs.

Supplementary information
Supplementary data are available at Bioinformatics online.
The Phenomenon of Repeat Payday Loan Borrowing in the United States: Assessing Risk and Protective Factors among the Financially Vulnerable
Authors: Lim Younghee , Kim Youn Kyoung , Maleku Arati , Conner Austin , Lee Na Youn , Yang Mi Youn 
Published: August 2021

Abstract
Payday lenders provide high-cost short-term loans to those who have limited access to traditional financial institutions. Although an overwhelming majority of payday loan customers are repeat borrowers, studies examining the phenomenon of repeat borrowing is scant. Our study aimed to assess risk and protective factors among repeat payday loan borrowers. Using Bankruptcy filers' data obtained through the Public Access to Court Electronic Records database of the United States Bankruptcy Court of a Southern district, we conducted a multinomial logistic regression analysis to compare one-time and repeat borrowers with non-borrowers (N = 453). Findings revealed that medical debt and the number of children are associated with an increased risk of repeat borrowing. Homeownership is associated with a decreased risk of both one-time and repeat borrowing. In contrast, student loans are associated with an increased risk of one-time borrowing. Implications for social work practice, policy, research, and education to engage with financially vulnerable households, build assets and financial capability, and address risk and protective factors of alternative financial services such as repeat payday loan borrowing toward achieving socio-economic justice goals are discussed.
Remdesivir for the Prevention of Invasive Mechanical Ventilation or Death in Coronavirus Disease 2019 (COVID-19): A Post Hoc Analysis of the Adaptive COVID-19 Treatment Trial-1 Cohort Data
Authors: Paules Catharine I , Gallagher Shannon K , Rapaka Rekha R , Davey Richard T , Doernberg Sarah B , Grossberg Robert , Hynes Noreen A , Ponce Philip O , Short William R , Voell Jocelyn , Wang Jing , Yang Otto O , Wolfe Cameron R , Lye David C , Dodd Lori E , Benson Constance A 
Published: August 2021

Abstract
This post hoc analysis of the Adaptive Coronavirus Disease 2019 (COVID-19) Treatment Trial-1 (ACTT-1) shows a treatment effect of remdesivir (RDV) on progression to invasive mechanical ventilation (IMV) or death. Additionally, we create a risk profile that better predicts progression than baseline oxygen requirement alone. The highest risk group derives the greatest treatment effect from RDV.
Measurement Biases Distort Cell-Free DNA Fragmentation Profiles and Define the Sensitivity of Metagenomic Cell-Free DNA Sequencing Assays
Authors: Chang Adrienne , Mzava Omary , Lenz Joan S , Cheng Alexandre P , Burnham Philip , Motley S Timothy , Bennett Crissa , Connelly John T , Dadhania Darshana M , Suthanthiran Manikkam , Lee John R , Steadman Amy , De Vlaminck Iwijn 
Published: August 2021

Abstract

Background
Metagenomic sequencing of microbial cell-free DNA (cfDNA) in blood and urine is increasingly used as a tool for unbiased infection screening. The sensitivity of metagenomic cfDNA sequencing assays is determined by the efficiency by which the assay recovers microbial cfDNA vs host-specific cfDNA. We hypothesized that the choice of methods used for DNA isolation, DNA sequencing library preparation, and sequencing would affect the sensitivity of metagenomic cfDNA sequencing.

Methods
We characterized the fragment length biases inherent to select DNA isolation and library preparation procedures and developed a model to correct for these biases. We analyzed 305 cfDNA sequencing data sets, including publicly available data sets and 124 newly generated data sets, to evaluate the dependence of the sensitivity of metagenomic cfDNA sequencing on pre-analytical variables.

Results
Length bias correction of fragment length distributions measured from different experimental procedures revealed the ultrashort (&lt;100 bp) nature of microbial-, mitochondrial-, and host-specific urinary cfDNA. The sensitivity of metagenomic sequencing assays to detect the clinically reported microorganism differed by more than 5-fold depending on the combination of DNA isolation and library preparation used.

Conclusions
Substantial gains in the sensitivity of microbial and other short fragment recovery can be achieved by easy-to-implement changes in the sample preparation protocol, which highlights the need for standardization in the liquid biopsy field.