bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling COVID-19 in Cape Verde Islands - An application of SIR model
Authors: da Silva Adilson 
Published: January 2021

AbstractThe rapid and surprised emergence of COVID-19, having infected three million and killed two hundred thousand people worldwide in less than five months, has led many experts to focus on simulating its propagation dynamics in order to have an estimated outlook for the not too distante future and so supporting the local and national governments in making decisions. In this paper, we apply the SIR model to simulating the propagation dynamics of COVID-19 on the Cape Verde Islands. It will be done firstly for Santiago and Boavista Islands, and then for Cape Verde in general. The choice of Santiago rests on the fact that it is the largest island, with more than 50% of the Population of the country, whereas Boavista was chosen because it is the island where the first case of COVID-19 in Cape Verde was diagnosed. Observations made after the date of the simulations were carried out corroborate our projections.
Chinese terminology studies
Authors: Yin Jian 
Published: January 2021

Abstract
A single but collective, multifaceted, and multidimensional theory of terminology relies on the contributions of scholars in different ways and in different languages. Local terminology practice and exploration back-feed the general theory and jointly contribute to the completion of a comprehensive theoretical framework. This paper analyzes the application of terminology as the driving force of the discipline, which includes standardized application, domain-specific communicative application, and cross-cultural/cross-lingual application. Specifically, the characteristics of terminology translation practice in China are introduced, with terminology translation conducted as a practice of knowledge dissemination and discourse contribution bound by and affecting Chinese language. Then, several characteristics of Chinese terminology studies are introduced. It is pointed out that Chinese terminology studies, based on the answering of the local terminology problems in China, have universal value for the construction of terminology as a whole discipline.
Clinical assessment of the Roche SARS-CoV-2 rapid antigen test
Authors: Salvagno Gian Luca , Gianfilippi Gianluca , Bragantini Damiano , Henry Brandon M. , Lippi Giuseppe 
Published: January 2021

Abstract

Objectives
Novel point-of-care antigen assays present a promising opportunity for rapid screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections. The purpose of this study was the clinical assessment of the new Roche SARS-CoV-2 Rapid Antigen Test.

Methods
The clinical performance of Roche SARS-CoV-2 Rapid Antigen Test was evaluated vs. a reverse transcription polymerase chain reaction (RT-PCR) laboratory-based assay (Seegene AllplexTM2019-nCoV) in nasopharyngeal swabs collected from a series of consecutive patients referred for SARS-CoV-2 diagnostics to the Pederzoli Hospital (Peschiera del Garda, Verona, Italy) over a 2-week period.

Results
The final study population consisted of 321 consecutive patients (mean age, 46 years and IQR, 32–56 years; 181 women, 56.4%), with 149/321 (46.4%) positive for SARS-CoV-2 RNA via the Seegene AllplexTM2019-nCoV Assay, and 109/321 (34.0%) positive with Roche SARS-CoV-2 Rapid Antigen Test, respectively. The overall accuracy of Roche SARS-CoV-2 Rapid Antigen Test compared to molecular testing was 86.9%, with 72.5% sensitivity and 99.4% specificity. Progressive decline in performance was observed as cycle threshold (Ct) values of different SARS-CoV-2 gene targets increased. The sensitivity was found to range between 97–100% in clinical samples with Ct values <25, between 50–81% in those with Ct values between 25 and <30, but low as 12–18% in samples with Ct values between 30 and <37.

Conclusions
The clinical performance of Roche SARS-CoV-2 Rapid Antigen Test is excellent in nasopharyngeal swabs with Ct values <25, which makes it a reliable screening test in patients with high viral load. However, mass community screening would require the use of more sensitive techniques.
Sampling from networks: respondent-driven sampling
Authors: Yauck Mamadou , Moodie Erica E.M. , Apelian Herak , Peet Marc-Messier , Lambert Gilles , Grace Daniel , Lachowsky Nathan J. , Hart Trevor A. , Cox Joseph 
Published: January 2021

Abstract

Objectives
Respondent-Driven Sampling (RDS) is a variant of link-tracing, a sampling technique for surveying hard-to-reach communities that takes advantage of community members' social networks to reach potential participants. While the RDS sampling mechanism and associated methods of adjusting for the sampling at the analysis stage are well-documented in the statistical sciences literature, methodological focus has largely been restricted to estimation of population means and proportions, while giving little to no consideration to the estimation of population network parameters. As a network-based sampling method, RDS is faced with the fundamental problem of sampling from population networks where features such as homophily (the tendency for individuals with similar traits to share social ties) and differential activity (the ratio of the average number of connections by attribute) are sensitive to the choice of a sampling method.

Methods
Many simple approaches exist to generate simulated RDS data, with specific levels of network features (mainly homophily and differential activity), where the focus is on estimating means and proportions (Gile 2011; Gile et al. 2015; Spiller et al. 2018). However, recent findings on the inconsistency of estimators of network features such as homophily in partially observed networks (Crawford et al. 2017; Shalizi and Rinaldo 2013) raise the question of whether those target features can be recovered using the observed RDS data alone – as recovering information about these features is critical if we wish to condition upon them. In this paper, we conduct a simulation study to assess the accuracy of existing RDS simulation methods, in terms of their abilities to generate RDS samples with the desired levels of two network parameters: homophily and differential activity.

Results
The results show that (1) homophily cannot be consistently estimated from simulated RDS samples and (2) differential activity estimators are more precise when groups, defined by traits, are equally active and equally represented in the population. We use this approach to mimic features of the Engage Study, an RDS sample of gay, bisexual and other men who have sex with men in Montréal, Canada.

Conclusions
In this paper, we highlight that it is possible, in some cases, to simulate population networks by mimicking the characteristics of real-world RDS data while retaining accuracy and precision for target network features in the samples.
The Impact of Federal Home Loan Bank (FHLB) Advances on Small Business Lending by Community Banks—2010–2016
Authors: Brewer Elijah , Jackson William E. , Mondschean Thomas S. 
Published: January 2021

Abstract
In this paper, we examine the relationship between small business loan growth and growth in core deposits and Federal Home Loan Banks (FHLBs) advances from 2010 to 2016. Controlling for other effects, we find that the relationships between small business loan growth is positively and significantly related to both FHLB advance growth and core deposit growth, with the coefficient on advance growth being significantly larger than the coefficient on core deposits over the entire sample period. We also tested whether this relationship changed after 2014:3 reflecting the Federal Reserve’s relaxation of the regulatory burden on smaller banks. We find that the relationship between loan growth and core deposit growth became more positive after the change, but the relationship between loan growth and FHLB advance growth did not. As a result, we could no longer reject the hypothesis that the coefficient on core deposit growth was equal to the coefficient on FHLB advance growth after 2014:3. This provides some empirical support that the regulatory changes in the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 (DFA) influenced small business lending by strengthening the impact of the growth in core deposits on the growth of small business lending, complementing the work of Bordo and Duca (2018) that changes in DFA had some unintended negative consequences for lending to small businesses. It also suggests that lowering the regulatory burden faced by community banks (which have a larger proportion of core deposits to total assets than non-community banks) could improve the incentive to increase small business lending. It also implies that FHLB advances remain an important funding tool at the margin to give commercial banking organizations greater liquidity and flexibility in funding their balance sheets.
Analysis and Modeling of Enterprise Competitive Intelligence Based on Social Media User Comments
Authors: Ding Jian-lan , Shi Bing 
Published: January 2021

AbstractUnder modern information conditions, competitive intelligence has an important strategic role for an enterprise to reduce market, financial and other risks. How to correctly evaluate the value of competitive intelligence and make the right decision for an enterprise directly determines the survival and development of an enterprise. By establishing a co-occurrence relationship between the two, the core themes of corporate microblog communication are discovered. Proceeding from the basic theory of the value of competitive intelligence, it is proposed that due to the connection of business departments within the enterprise system, the transfer value of competitive intelligence within the enterprise system is changed, and a mathematical analysis method is used to establish a value transfer analysis model. The value-added process of enterprise competitive intelligence and the internal and external operational processes of the enterprise are unified, and the internal and external competitive intelligence value-added operation modes of enterprises led by different strategies are studied. This provides a new and widely-referenced operational reference for different companies to effectively formulate and implement their competition and cooperation strategies through internal and external competitive intelligence operations.
Quantum modularity of partial theta series with periodic coefficients
Authors: Goswami Ankush , Osburn Robert 
Published: January 2021

Abstract
We explicitly prove the quantum modularity of partial theta series with even or odd periodic coefficients.
As an application, we show that the Kontsevich–Zagier series

ℱ
t

⁢

(
q
)

{\mathscr{F}_{t}(q)}

which matches (at a root of unity) the colored Jones polynomial for the family of torus knots

T
⁢

(
3
,

2
t

)

{T(3,2^{t})}

,

t
≥
2

{t\geq 2}

, is a weight

3
2

{\frac{3}{2}}

quantum modular form.
This generalizes Zagier’s result on the quantum modularity for the “strange” series

F
⁢

(
q
)

{F(q)}

.
Spatiotemporal change of land use for deceased in Beijing since the mid-twentieth century
Authors: Doi Haruhiro , Chai Yanwei , Xu Peiwei , Wang Xinxing 
Published: January 2021

Abstract
The land use for the deceased is not only for the dead but also for the living relatives. It competes with land use for living populations in urban areas through occupying a specific space of land. This article looks at this shared interest in humankind by mapping the land use for the deceased in the mid-twentieth century and modern Beijing and address the sustainability of future land use for dead in Beijing. Specifically, it clarifies the change of its area and location in the urban–regional structure and also considers the background factors. In the 1930s, the spatial distribution of cemeteries in the mid-twentieth century was mapped using the old topographic maps and also mainly using city government materials for modern times. A comparison of land use between the two periods shows that the spatial land use for the deceased continues to be the characteristics of traditional funeral values, Feng Shui philosophy, spatial separation of the dead, and the population, such as public cemeteries surrounding the built-up area. The city government reduced the pressure on land resources by encouraging land-saving burial such as undersea burial, which affects the value of funerals for citizens, resulting in an area of cemetery per urban population.
The commodification of personality: Human enhancement and market society
Authors: Gaitán Leandro 
Published: January 2021

Abstract
In a future highly technological society it will be possible to modify the personality using different kinds of technological tools. Consequently, we could become buyers and consumers of personality. As such, personality, which is a core aspect of the self, could turn into a commodity. This article intends to address the following questions: 1) How can new technologies modify personality? 2) Why might personality become a commodity? 3) What is wrong with turning personality into commodity?
Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics
Authors: Hernandez-Bocanegra Diana C. , Ziegler Jürgen 
Published: January 2021

Abstract
Providing explanations based on user reviews in recommender systems (RS) may increase users’ perception of transparency or effectiveness. However, little is known about how these explanations should be presented to users, or which types of user interface components should be included in explanations, in order to increase both their comprehensibility and acceptance. To investigate such matters, we conducted two experiments and evaluated the differences in users’ perception when providing information about their own profiles, in addition to a summarized view on the opinions of other customers about the recommended hotel. Additionally, we also aimed to test the effect of different display styles (bar chart and table) on the perception of review-based explanations for recommended hotels, as well as how useful users find different explanatory interface components. Our results suggest that the perception of an RS and its explanations given profile transparency and different presentation styles, may vary depending on individual differences on user characteristics, such as decision-making styles, social awareness, or visualization familiarity.
When does the driver feel ready to drive again after automated driving? – A qualitative approach
Authors: Scatturin Lara , Erbach Rainer , Baumann Martin 
Published: January 2021

Abstract
In automated driving, getting ready to drive after a take-over is one of the most crucial topics. Whereas previous research mainly focuses on behavioral data, little is known about the driver’s experience. In this simulator study, the participants are asked retrospectively when they felt ready to drive again after the take-over. The results suggest that driver availability is a subjectively and situationally influenced concept determined by motoric, temporal, visual, or cognitive factors. Identifying the relevant factors contributes to the development of tailored support during the transition.
Das Institut für Informationswissenschaft an der Universität Graz: 1987 – 2020
Authors: Reichmann Gerhard , Schlögl Christian , Thalmann Stefan 
Published: January 2021

Zusammenfassung
Die Geschichte des Instituts für Informationswissenschaft an der Universität Graz in Österreich von seiner Gründung 1987 bis zur Fusionierung mit anderen Instituten im Jahr 2020 wird beschrieben und mit Daten aus bibliometrischen Analysen der Publikationen ergänzt. Abschließend wird ein Ausblick auf die Einbindung der Informationswissenschaft in neue Studienangebote gegeben.
A piezoelectric contact problem with slip dependent friction and damage
Authors: Kasri Abderrezak 
Published: January 2021

Abstract
The aim of this paper is to study a quasistatic contact problem between an
electro-elastic viscoplastic body with damage and an electrically conductive
foundation. The contact is modelled with an electrical condition, normal
compliance and the associated version of Coulomb’s law of dry friction in
which slip dependent friction is included. We derive a variational
formulation for the model and, under a smallness assumption, we prove the
existence and uniqueness of a weak solution.
Odd order products of conjugate involutions in linear groups over GF(2𝑎)
Authors: Ballantyne John J. , Rowley Peter J. 
Published: January 2021

AbstractLetGbe isomorphic toGLn⁢(q){\mathrm{GL}_{n}(q)},SLn⁢(q){\mathrm{SL}_{n}(q)},PGLn⁢(q){\mathrm{PGL}_{n}(q)}orPSLn⁢(q){\mathrm{PSL}_{n}(q)}, whereq=2a{q=2^{a}}. Iftis an involution lying in aG-conjugacy classX, then, for arbitraryn, we show that, asqbecomes large, the proportion of elements ofXwhich have odd order product withttends to 1. Furthermore, fornat most 4, we give formulae for the number of elements inXwhich have odd order product witht, in terms ofq.
New Lie products for groups and their automorphisms
Authors: Wilson James B. 
Published: January 2021

Abstract
We generalize the common notion of descending and ascending central series.
The descending approach determines a naturally graded Lie ring and the ascending version determines a graded module for this ring.
We also link derivations of these rings to the automorphisms of a group.
This process uncovers new structure in 4/5 of the approximately 11.8 million groups of size at most 1000 and beyond that point pertains to at least a positive logarithmic proportion of all finite groups.
A posteriori choice of time-discretization step in finite difference methods for solving ill-posed Cauchy problems in Hilbert space
Authors: Kokurin Mikhail M. 
Published: January 2021

Abstract
Finite difference semidiscretization methods for solving an ill-posed Cauchy problem in a Hilbert space are investigated. The problems involve linear positively definite selfadjoint operators. We justify an a posteriori scheme for the choice of the time-discretization step and establish accuracy estimates in terms of the error level of input data.
Guided image filtering based ℓ0 gradient minimization for limited-angle CT image reconstruction
Authors: Wang Tianyi , Wang Chengxiang , Zhao Kequan , Yu Wei , Huang Min 
Published: January 2021

Abstract
Limited-angle computed tomography (CT)
reconstruction problem arises in some practical applications due to restrictions in the scanning environment or CT imaging device. Some artifacts will be presented in image reconstructed by conventional analytical algorithms. Although some regularization strategies have been proposed to suppress the artifacts, such as total variation (TV) minimization, there is still distortion in some edge portions of image. Guided image filtering (GIF) has the advantage of smoothing the image as well as preserving the edge. To further improve the image quality and protect the edge of image, we propose a coupling method, that combines

ℓ
0

{\ell_{0}}

gradient minimization and GIF. An intermediate result obtained by

ℓ
0

{\ell_{0}}

gradient minimization is regarded as a guidance image of GIF, then GIF is used to filter the result reconstructed by simultaneous algebraic reconstruction technique (SART) with nonnegative constraint. It should be stressed that the guidance image is dynamically updated as the iteration process, which can transfer the edge to the filtered image. Some simulation and real data experiments are used to evaluate the proposed method. Experimental results show that our method owns some advantages in suppressing the artifacts of limited angle CT and in preserving the edge of image.
The modulus of the Fourier transform on a sphere determines 3-dimensional convex polytopes
Authors: Engel Konrad , Laasch Bastian 
Published: January 2021

Abstract
Let 𝒫 and

P
′

\mathcal{P}^{\prime}

be 3-dimensional convex polytopes in

R
3

\mathbb{R}^{3}

and

S
⊆

R
3

S\subseteq\mathbb{R}^{3}

be a non-empty intersection of an open set with a sphere.
As a consequence of a somewhat more general result it is proved that 𝒫 and

P
′

\mathcal{P}^{\prime}

coincide up to translation and/or reflection in a point if

|

∫
P

e

-

i
⁢
s

⋅
x

⁢
dx

|

=

|

∫

P
′

e

-

i
⁢
s

⋅
x

⁢
dx

|

\bigl{\lvert}\int_{\mathcal{P}}e^{-i\mathbf{s}\cdot\mathbf{x}}\,\mathbf{dx}\bigr{\rvert}=\bigl{\lvert}\int_{\mathcal{P}^{\prime}}e^{-i\mathbf{s}\cdot\mathbf{x}}\,\mathbf{dx}\bigr{\rvert}

for all

s
∈
S

\mathbf{s}\in S

.
This can be applied to the field of crystallography regarding the question whether a nanoparticle modelled as a convex polytope is uniquely determined by the intensities of its X-ray diffraction pattern on the Ewald sphere.
Recovery of the time-dependent implied volatility of time fractional Black–Scholes equation using linearization technique
Authors: Iqbal Sajad , Wei Yujie 
Published: January 2021

Abstract
This paper tries to examine the recovery of the time-dependent implied volatility coefficient from market prices of options for the time fractional Black–Scholes equation (TFBSM) with double barriers option. We apply the linearization technique and transform the direct problem into an inverse source problem. Resultantly, we get a Volterra integral equation for the unknown linear functional, which is then solved by the regularization method. We use

L
1

{L_{1}}

-forward difference implicit approximation for the forward problem. Numerical results using

L
1

{L_{1}}

-forward difference implicit approximation (

L
1

{L_{1}}

-FDIA) for the inverse problem are also discussed briefly.
Inverse problems in analysis of input-output model in the class of CES functions
Authors: Shananin Alexander A. , Rassokha Anastasiya V. 
Published: January 2021

Abstract
The article proposes a modification of the approach to the analysis of inter-industry balance.
Instead of linear models of inter-industry balance, based on the hypothesis of W. Leontief about the constancy of the cost standards of production factors, the article studies nonlinear models.
For the case of production functions with constant elasticity of substitution (CES) an algorithm for solving the inverse problem is proposed, which allows to identify the model of nonlinear inter-industry balance based on the data of the symmetric input-output table.
Based on the Young transform and Fennel duality, with the help of this model, we develop a technology for analyzing inter-industry relationships.
The technology has been tested on the data of economic statistics of Russia.
Instance Reduction for Avoiding Overfitting in Decision Trees
Authors: Amro Asma’ , Al-Akhras Mousa , Hindi Khalil El , Habib Mohamed , Shawar Bayan Abu 
Published: January 2021

Abstract
Decision trees learning is one of the most practical classification methods in machine learning, which is used for approximating discrete-valued target functions. However, they may overfit the training data, which limits their ability to generalize to unseen instances. In this study, we investigated the use of instance reduction techniques to smooth the decision boundaries before training the decision trees. Noise filters such as ENN, RENN, and ALLKNN remove noisy instances while DROP3 and DROP5 may remove genuine instances. Extensive empirical experiments were conducted on 13 benchmark datasets from UCI machine learning repository with and without intentionally introduced noise. Empirical results show that eliminating border instances improves the classification accuracy of decision trees and reduces the tree size, which reduces the training and classification times. In datasets without intentionally added noise, applying noise filters without the use of the built-in Reduced Error Pruning gave the best classification accuracy. ENN, RENN, and ALLKNN outperformed decision trees learning without pruning in 9, 9, and 8 out of 13 datasets, respectively. The datasets reduced using ENN and RENN without built-in pruning were more effective when noise was intentionally introduced in different ratios.