bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of a Patient Voice App Experience for Heart Failure Management: Usability Study
Authors: Barbaric Antonia , Munteanu Cosmin , Ross Heather , Cafazzo Joseph A 
Published: October 2022

Background
The use of digital therapeutics (DTx) in the prevention and management of medical conditions has increased through the years, with an estimated 44 million people using one as part of their treatment plan in 2021, nearly double the number from the previous year. DTx are commonly accessed through smartphone apps, but offering these treatments through additional platforms can improve the accessibility of these interventions. Voice apps are an emerging technology in the digital health field; not only do they have the potential to improve DTx adherence, but they can also create a better user experience for some user groups.

Objective
This research aimed to identify the acceptability and feasibility of offering a voice app for a chronic disease self-management program. The objective of this project was to design, develop, and evaluate a voice app of an already-existing smartphone-based heart failure self-management program, Medly, to be used as a case study.

Methods
A voice app version of Medly was designed and developed through a user-centered design process. We conducted a usability study and semistructured interviews with patients with heart failure (N=8) at the Peter Munk Cardiac Clinic in Toronto General Hospital to better understand the user experience. A Medly voice app prototype was built using a software development kit in tandem with a cloud computing platform and was verified and validated before the usability study. Data collection and analysis were guided by a mixed methods triangulation convergence design.

Results
Common themes were identified in the results of the usability study, which involved 8 participants with heart failure. Almost all participants (7/8, 88%) were satisfied with the voice app and felt confident using it, although half of the participants (4/8, 50%) were unsure about using it in the future. Six main themes were identified: changes in physical behavior, preference between voice app and smartphone, importance of music during voice app interaction, lack of privacy concerns, desired reassurances during voice app interaction, and helpful aids during voice app interaction. These findings were triangulated with the quantitative data, and it concluded that the main area for improvement was related to the ease of use; design changes were then implemented to better improve the user experience.

Conclusions
This work offered preliminary insight into the acceptability and feasibility of a Medly voice app. Given the recent emergence of voice apps in health care, we believe that this research offered invaluable insight into successfully deploying DTx for chronic disease self-management using this technology.
Genome-Wide Association Study for eGFR in a Taiwanese Population
Authors: Chen Ying-Chun , Wong Henry Sung-Ching , Wu Mei-Yi , Chou Wan-Hsuan , Kao Chih-Chin , Chao Ching-Hsuan , Chang Wei-Chiao , Wu Mai-Szu 
Published: October 2022

Background and objectives
Chronic kidney disease (CKD) is a global public health issue associated with large economic burdens. CKD contributes to higher risks of cardiovascular complications, kidney failure, and mortality. The incidence and prevalence rates of kidney failure in Taiwan have remained the highest in the world.

Design, setting, participants, & measurements
Assessing genetic factors that influence kidney function in specific populations has substantial clinical relevance. We investigated associations of genetic variants with eGFR. The quality control filtering and genotype imputation resulted in 10,008 Taiwan Biobank participants and 6,553,511 variants for final analyses. We examined these loci with in silico replication in individuals of European and African ancestry.

Results
Our results revealed one significant locus (4q21.1) and three suggestive significant loci (17q23.2, 22q13.2, and 3q29) for eGFR in the Taiwanese population. In total, four conditional-independent single nucleotide polymorphisms were identified as the most important variants within these regions, including rs55948430 (Coiled-Coil Domain Containing 158), rs1010269 (BCAS3), rs56108505 (MKL1), and rs34796810 (upstream of DLG1). By performing a meta-analysis, we found that the 4q21.1 and 17q23.2 loci were successfully replicated in the European population, whereas only the 17q23.2 locus was replicated in African ancestry. Therefore, these two loci are suggested to be transethnic loci, and the other two eGFR-associated loci (22q13.2 and 3q29) are likely population specific.

Conclusions
We identified four susceptibility loci on 4q21.1, 17q23.2, 22q13.2, and 3q29 that associated with kidney-related traits in a Taiwanese population. The 22q13.2 (MKL1) and 3q29 (DLG1) were prioritized as critical candidates. Functional analyses delineated novel pathways related to kidney physiology in Taiwanese and East Asian ancestries.
Астрономическая терминология монгольских языков: материалы к этимологическому словарю
Authors:   Kalmyk Scientific Center of the RAS (8, Ilishkin St., 358000 Elista, Russian Federation), Kukanova Viktoria V. 
Published: October 2022

Introduction. The system of astronomical terms in Mongolic languages is structurally complicated due to multiple layers of both pre-Buddhist and Buddhist beliefs adopted by proto-Mongols. The latter had tended to revere celestial bodies and elaborated a number of cults still traceable in spiritual and material culture of descending nations. Goals. The work aims at identifying Mongolic astronomical terms and provides preliminary analyses of their semantics and etymologies. Materials and methods. The paper focuses on dictionaries of Mongolic languages, examines etymological studies and Turkic dictionaries, special attention be paid to An Etymological Dictionary of Altaic Languages. The reference proto-Mongolian lexical constructs are represented by those contained in Hans Nugteren’s Mongolic Phonology and ones reproduced by O. Mudrak (available on The Tower of Babel website). The study employs etymological and linguocultural analytical tools. Results. The astronomical system developed in ancient times contains several layers characterizing archaic perceptions and worldviews of proto-Mongols. Some astronyms — including the words for ‘sky’, ‘star’, ‘Sun’, ‘Moon’, ‘Venus’ — seem to have evolved from proto-Altaic stems. In Mongolic languages, the concept ‘planet’ proves a more recent phenomenon and initially all celestial bodies had been perceived as stars, which resulted in multiple onyms with the component odn ‘star’ (e.g., Venus, Mars, Mercury, Sun and Moon used to be identified as stars). The Earth proper was not believed to be a star or planet since it first and foremost served as home to ancient Mongols, their habitat. In subsequent eras, only visible celestial bodies — Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn — started being referred to as planets, their names employed for denoting the days of the week. The mobility of the Sun and Moon prompted proto-Mongols that the former were planets, though ancient humans rarely tended to distinguish between planets and stars as such. As for currently known planets of the Solar System, ancient Mongols were aware of Venus, Mars, Jupiter, and supposedly Mercury. It is after their conversion to Buddhism that they gained an onym denoting Saturn, while those of Neptune, Pluto, and Uranus are more recently adopted lexemes.
Auditor Judgment Bias Research: A 50-Year Trend Analysis and Emerging Technology Use
Authors: Lombardi Danielle R. , Sipior Janice C. , Dannemiller Steven 
Published: October 2022

ABSTRACT
The increased development and use of automated and cognitive technologies at the Global Six, in conjunction with the increased availability of data and various levels of data structure, may exacerbate auditor judgment bias or give rise to new biases. We take a comprehensive approach to gain a new perspective by providing a 50-year trend analysis of auditor judgment bias, which results from relying on judgmental heuristics and the potential effects that the use of cognitive and automated technologies, such as artificial intelligence, may have on judgment. We describe individual biases and identify specific areas of research, commonalities and differences, gaps in the literature, and research methods applied. We construct a conceptual framework as a point of departure to guide future research by focusing on the impact of emerging technology. We conclude by identifying opportunities for future research.
Resource Use Efficiency and Profitability Analysis of Tomato Production (Lycopersicum Esculetum Species) in Federal Capital Territory, Nigeria
Authors: Ajibare Dolapo Benjamin , Anthony Luka , Alabi Olugbenga Omotayo , Njoku Victor Obinna , Ukaoha Christiana Amarachi , Oluleye Oladayo Daniel 
Published: October 2022

This study evaluated resource use efficiency and profitability analysis of tomato production in Federal Capital Territory, Nigeria. The specific objectives were to: determine the socio-economic characteristics of tomato farmers; analyze the cost, returns and profitability of tomato production, evaluate factors influencing output of tomato production, estimate resource use efficiency of tomato production, and identify the constraints facing tomato farmers in the study area. Multi-stage sampling technique was used. Primary data were collected through the use of well-structured questionnaires administered to 100 sampled tomato farmers. Data were analyzed using the following tools of analysis; descriptive statistics, gross margin analysis, financial analysis, Cobb-Douglas production functional model and resource use efficiency index. The results show that 83% of sampled tomato farmers were male. About 54% of the sampled respondents were above 41years of age. Majority 79% of the sampled respondents had less than 5 members per household. The results of costs and return analysis show that total average revenue realized by tomato farmers in the study area was about N146,430.00 and total variable cost was N23,057.30. The cost of labour was about N 16,416 representing 70% of the proportion of the cost of tomato production in the study area. The gross margin obtained was N123,372.7 with operating ratio of 1.58 and rate of return on investment of 5.38 respectively. Factors influencing total output of tomato in the study area were household size (P<0.01), farm size (P<0.01), seed input (P<0.05), and labour input (P<0.01). Seed input, labour input, and chemical inputs were underutilized. The results further show that the sampled farmers encountered the following constraints in the cause of tomato production in the study area, land tenure system, lack of good road, inadequate capital, high cost of input and lack of price control. Therefore, the following recommendations were made; financial institutions should provide affordable financial support to tomato farmers and also encourage female farmers to participate in tomato production, improved seed varieties should be made available to farmers for increase in productivity, agricultural extension agents should be provided and organize training on post-harvest practices in order to increase farmers’ incomes and minimize tomatoes wastages in the study area, tomato farmers should form themselves into cooperatives in order for them to assess inputs and subsidies from the government, and also pool their resources together for easy access to inputs and negotiate price.
Survei Tingkat Kedisiplinan Siswa Pada Kegiatan Ekstrakurikuler Karate
Authors: Jumaking Jumaking , Rosti Rosti , Hasnani Hasnani 
Published: October 2022

Penelitian ini bertujuan adalah untuk mengetahui tingkat kedisiplinan siswa pada kegiatan ekstrakurikuler karate di SMP Negeri 1 Mowewe. Penelitian ini termasuk penelitian deskriftif kuantitatif yang berfokus pada metode survei. Subjek dalam penelitian ini adalah siswa yang mengikuti kegiatan ekstrakurikuler karate di SMP Negeri 1 Mowewe yang berjumlah 40 orang. Instrumen yang digunakan dalam penelitian adalah kuesioner tingkat kedisiplinan siswa yang terbagi terbagi menjadi empat bagian aspek kedisiplinan yaitu: keteladanan, kepatuhan, kesetiaan dan ketertiban. Kuesioner tingkat kedisiplinan siswa memuat 30 item dengan 4 alteratif jawaban yaitu: sangat sesuai, sesuai, tidak sesuai, dan sangat tidak sesuai. Reliabilitas intrumen dihitung dengan menggunakan Alpha Cronbach dengan nilai koefisien reliabilitas sebesar. Data dianalisis denga kategorisasi dengan lima kategori yaitu: sangat tinggi, tinggi, sedang, rendah dan sangat rendah. Berdasarkan hasil analisis diperoleh tingkat kedisiplinan siswa pada kegiatan ekstrakurikuler karate di SMP Negeri 1 Mowewe Sebagian besar berada pada kategori tinggi (kategori sangat tinggi 45% dan kategori tinggi 47,5%), hasil ini memungkinkan siswa memili jawaban yang bagus atau memang memiliki kedisiplinan yang baik. Dapat disimpulkan bahwa hasil penelitian menunjukkan bahwa 92,5% siswa berada pada tingkat kedisiplinan tinggi, 2,5% berada pada kategori sedang, dan 5% berada pada kategori rendah sehingga dengan hasil itu dapat disimpulkan bahwa kedisiplinan siswa pada ekstrakurikuler karate di SMP Negeri 1 Mowewe berada pada kategori tinggi. Berdasarkan item kuesioner yang skornya rend ah disajikan usulan topik-topik peningkatan kedisiplinan
Impact of molecular chain length on polarizabilities of model acenes and oligomers
Authors: Uhliar Matej , Matúška Ján , Cagardová Denisa Mastiľák 
Published: October 2022

Abstract
A systematic quantum chemical study of model linear oligomers and their ring-fused (condensed) analogues based on six-membered and five-membered aromatic units is presented. Static electric polarizabilities were calculated for optimal geometries. The dependence of electronic and vibrational polarizability contributions on the molecular size was discussed and polymer limits were estimated. The presence of a diradical electronic structure in fused six-membered compounds significantly increases the polarizability values.
Research on non-linear visual matching model under inherent constraints of images
Authors: Zhang Xuwei , Yan Wen , Deng Li , Liu Zhiyu 
Published: October 2022

Abstract
Visual matching of plane images has promoted the development of artificial intelligence and digital vision. High-precision visual matching can promote the innovation of geometric measurement, visual navigation and other fields. Therefore, a non-linear visual matching model with inherent constraints is established in this paper. First, according to the principle of visual imaging, a non-linear conversion model of visual point coordinates is proposed, and the deviation of coordinate points is proofread. Then, inherent boundary constraints are introduced into the model to improve the accuracy of visual matching. Finally, through analysis and evaluation of error, results are generated showing that the visual matching model can effectively solve the shortcoming of low-matching accuracy in feature points, and provide more accurate data support for 3D calculation of images.
Calculus Logic Function in Tax Risk Avoidance in Different Stages of Enterprises
Authors: Wang Na , Guan Yanmin 
Published: October 2022

Abstract
During the entire development process of corporate tax risks, these risks will show different tax characteristics, which will result in four stages of tax risk evolution: the incubation stage, the development stage, the deterioration stage and the outbreak stage. During the evolution of tax risks and the establishment of an early warning mechanism, enterprises are facing both internal and external environments. From the internal perspective, the company’s business management philosophy, the quality of its staff, and the tax risk management system and procedures of the company will affect the establishment of tax risk and early warning mechanisms; from an external understanding, the regional tax environment, the country’s financial legal system, and the company’s Social relations are also important factors that must be considered in constructing a tax risk early warning mechanism. From the perspective of supporting conditions, in order to optimize the corporate tax risk early warning mechanism, this article considers the following aspects: first, the establishment of an effective internal tax risk control system for enterprises; second, the establishment of a systematic and effective tax risk control procedures; third, Efforts to adapt to the macro environment and actively respond to tax risks; Fourth, adopt effective tax planning skills; Fifth, improve the quality of tax risk prevention for all employees. When discussing the realization of the goal of the tax risk early warning mechanism, the author uses calculus knowledge to make logical derivation; in the risk attitude and tax risk early warning selection, geometric figures are used to describe people’s behavioural guidelines intuitively; in the construction of the early warning mechanism, the scoring method Visually integrated the values of various tax risk warning indicators.
Optimization Simulation System of University Science Education Based on Finite Differential Equations
Authors: Ma Na 
Published: October 2022

Abstract
The scientific optimization of university education requires state financial support. This paper designs a model for optimizing financial education expenditure and university education based on finite differential equations. This paper comprehensively uses finite element analysis, differential equations, and other methods for robustness analysis. This can eliminate the effect of outliers in the financial expenditure of university education and the endogeneity problems caused by population mobility. At the same time, this paper makes a rigorous demonstration of the stability of the model by using the combination of numbers and shapes. Finally, this paper obtains a conclusion that is consistent with the strength of the educational innovation system.
Financial Institution Prevention Financial Risk Monitoring System Under the Fusion of Partial Differential Equations
Authors: Sheng Lijun 
Published: October 2022

Abstract
This paper proposes a financial risk monitoring system based on partial differential equations. In this paper, a functional expression of risk measurement is proposed for the uncertainty of financial assets risk of financial institutions. In this paper, a partial differential equation model of asset price based on non-extensive statistical theory is established. At the same time, this paper establishes the optimal portfolio investment model with the restriction of risk measure under partial differential equation. The experimental study shows that the financial risk measurement method under the partial differential equation proposed in this paper fully considers the financial risk uncertainty of financial assets. It satisfies the axiomatic system of consistent risk measures.
Computer Art Design Model Based on Nonlinear Fractional Differential Equations
Authors: Qi Baoqiang , Wang Zhihui , Chen Hong , Jian Yuqing , He Shiqian 
Published: October 2022

Abstract
The influence of the environment will deform materials in computer art design. Based on nonlinear fractional differential equations, the paper constructs the change of material mechanical properties in computer art design. This paper uses the asymptotic expansion method to transform the higher-order partial differential equations into nonlinear fractional-order differential equations. In this paper, the equations are solved to obtain the stress function. Then the analytical formula of the high-order asymptotic field of the stress at the crack tip in the functionally graded material is obtained. In this paper, the separation method of variables is used to obtain the solution of the equation expressed in rectangular coordinates, and the expressions of displacement and stress are obtained. The study found that the order of the model can quantitatively describe the evolution of the mechanical properties of plastic metals in computer art.
Alternative Use of the Extensograph-E in the Role of a Texturometer
Authors: Švec Ivan 
Published: October 2022

Abstract
Food texture is traditionally evaluated using texturometers. On a pilot scale, four samples of graham or cheese salted sticks were measured by using the apparatus Extensograph-E. The equipment is originally designed for evaluation of the viscoelastic properties of wheat flour dough. The extensograph resistance as the height of gained curves has been closely correlated with the weight of the broken samples (ranges 59-1506 units and 3.11-19.38 g, respectively), representing the hardness of the salted sticks. As presumed, extensigraph elasticity and curve width were measured at close intervals 5.00-10.00 mm due to brittle character of the material tested. Similarly, neither the deformation energy as the area under the curve could be used for the samples discrimination (range 0.59-11.00 cm2). The hardness of cheese type and graham counterpart was statistically similar – the extensograph resistance means of fifty items were 559±381 and 500±352 units. According to the producer, the least, both tested graham stick samples could be differentiated - the corresponding means of fifty items were 367±293 and 632±361 units). Finally, only the extensibility of salted sticks was correlated with the declared contents of saccharides, proteins, and fat (r = −0.52, −0.56, and 0.49 for N = 100 and P = 95%).
Parabolic inequalities in inhomogeneous Orlicz-Sobolev spaces with gradients constraints and L
1-data
Authors: Ajagjal Sana 
Published: October 2022

Abstract
This work is devoted to the study of a new class of parabolic problems in inhomogeneous Orlicz spaces with gradient constraints and L
1-data. One proves the existence of the solution by studying the asymptotic behaviour as p goes to ∞, of a sequence of entropy solutions (up
) of some nonlinear parabolic equation in inhomogeneous Orlicz-Sobolev spaces with L
1-data involving the parameter p.
Convergence of a finite volume scheme for a parabolic system applied to image processing
Authors: Attmani Jamal , Atlas Abdelghafour , Karami Fahd 
Published: October 2022

Abstract
We analyze a finite volume scheme for a nonlinear reaction-diffusion system applied to image processing. First, we demonstrate the existence of a solution to the finite volume scheme. Then, based on the derivation of a series of a priori estimates and the use of Kolmogorov’s compactness criterion, we prove that the solution to the finite volume scheme converges to the weak solution. In the numerical experiments, we show the effectiveness of the proposed model with respect to the modified (in the sense of Catté, Lions, Morel and Coll) Perona-Malik nonlinear image selective smoothing equation in terms of preserving small details, texture, and fine structures.
Non-Incomes Risk Mitigation Mechanisms for Cultural Heritage: Role of Insurances Facing Covid-19 in the Italian Context
Authors: Pagano Andrea Jonathan , Romagnoli Francesco , Vannucci Emanuele 
Published: October 2022

Abstract
The economic cultural heritages are exposed to several natural and nowadays biological hazards, which, in addition to causing potential structural damage, can lead to severe loss deriving from financial non-incomes. The paper aims to highlight the role of insurance in mitigating financial damages and losses, specifically explaining the key role of insurance in mitigating biological hazards like Covid-19. The paper is part of broader research by the authors and uses the assumptions and results already obtained previously in the context of the case study relating to the asset of Villa Adriana and Villa D’Este.