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Thematic Analysis Of Google Play Reviews Of Lifestyle Apps

Publication Name: Human Technology

Publication Date: 2023-05-01

Volume: 19

Issue: 1

Page Range: 82-102

Description:

Worldwide, numerous studies have been conducted on m-health applications and the results show that, if well-designed, they can regulate and track medication and reduce healthcare costs. The aim of this research is to analyze the experiences of users connected to different lifestyle apps, in particular (1) to explore the negative, neutral and positive topics in the reviews, and (2) to discover the role of health improvement among the comments. The present paper is part of a complex empirical research project. A qualitative and quantitative content analysis was conducted of the user reviews in the Google Play store for the 16 lifestyle apps selected during the first phase of the empirical research (quasi experiment). All in all, 2,835 comments were analyzed. The negative comments mentioned unreliable tracking functions, problems with updates, or high prices. The neutral comments outlined some missing functions or problems with the operation of the app. The positive comments were related to health improvement, usefulness, ease of use, engagement and willingness to recommend the app. Physical activity, facilitating a specific diet, weight loss, wellbeing, tracking progress and health awareness were among the common health aspects of the lifestyle apps. The results of this research will be particularly useful for consumers, app developers and service providers who focus on health awareness and health promotion.

Open Access: Yes

DOI: 10.14254/1795-6889.2023.19-1.6

The Holistic Model of Labour Retention: The Impact of Workplace Wellbeing Factors on Employee Retention

Publication Name: Administrative Sciences

Publication Date: 2023-05-01

Volume: 13

Issue: 5

Page Range: Unknown

Description:

This paper explores the holistic context of workforce retention. The global labour shortages in developed countries have made employers realise that in a world of scarce resources, employee wellbeing and retention are key factors in competitiveness. The aim of the research is to create a model to identify the key determinants of employee well-being and workforce retention. A quantitative research methodology was applied, using a questionnaire with 58 validated statements, completed online by the research participants (n = 406). The PLS-SEM method was used for data analysis and inner and outer modelling. The measurement model was tested for internal consistency reliability and convergent and discriminant validity. Cronbach’s α and CR values were above the 0.7 threshold for all constructions, indicating high internal consistency of measurements. In our model, there are a total of 36 significant relationships between latent variables. Based on the research results, the effect of organizational commitment on the intention to quit was determined. If the organizational commitment within an organization changes, the intention to resign changes. Thus, critical variables affecting workforce retention (benefits, promotion, communication, nature of work, coworkers, and normative commitment) have been identified, the changing of which will affect organizational commitment. The results support that if employees perceive these factors negatively, their commitment will drastically decrease.

Open Access: Yes

DOI: 10.3390/admsci13050121

Thalia dealbata, a new host of sugarcane mosaic virus

Publication Name: Journal of Plant Pathology

Publication Date: 2023-05-01

Volume: 105

Issue: 2

Page Range: 587-588

Description:

No description provided

Open Access: Yes

DOI: 10.1007/s42161-022-01295-9

Predictive Choropleth Maps Using ARIMA Time Series Forecasting for Crime Rates in Visegrád Group Countries

Publication Name: Sustainability Switzerland

Publication Date: 2023-05-01

Volume: 15

Issue: 10

Page Range: Unknown

Description:

Geographical mapping has revolutionized data analysis with the help of analytical tools in the fields of social and economic studies, whereby representing statistical research variables of interest as geographic characteristics presents visual insights. This study employed the QGIS mapping tool to create predicted choropleth maps of Visegrád Group countries based on crime rate. The forecast of the crime rate was generated by time series analysis using the ARIMA (autoregressive integrated moving averages) model in SPSS. The literature suggests that many variables influence crime rates, including unemployment. There is always a need for the integration of widespread data insights into unified analyses and/or platforms. For that reason, we have taken the unemployment rate as a predictor series to predict the future rates of crime in a comparative setting. This study can be extended to several other predictors, broadening the scope of the findings. Predictive data-based choropleth maps contribute to informed decision making and proactive resource allocation in public safety and security administration, including police patrol operations. This study addresses how effectively we can utilize raw crime rate statistics in time series forecasting. Moreover, a visual assessment of safety and security situations using ARIMA models in SPSS based on predictor time-series data was performed, resulting in predictive crime mapping.

Open Access: Yes

DOI: 10.3390/su15108088

Magnetic equivalent circuit and finite element modelling of anisotropic rotor axial flux permanent magnet synchronous motors with fractional slot distributed winding

Publication Name: Iet Electric Power Applications

Publication Date: 2023-05-01

Volume: 17

Issue: 5

Page Range: 709-720

Description:

Axial flux motors have been in the focus of many research work due to their promising properties when compared to conventional radial flux machines. Axial flux permanent magnet synchronous motors (AFPMSM) studied in the literature were mostly limited to surface-mounted permanent magnet machines (SPMSM), excluding only a few studies about axial flux internal permanent magnet (AFIPM) or permanent magnet-assisted synchronous reluctance (AFPMaSynRM) machines. Since numerous rotor topologies have been proposed and investigated in case of radial flux motors, analogous design methodologies can be developed in case of axial flux motors with rotor saliency. The parametrisation and modelling of a magnetically anisotropic rotor axial flux motor are presented. This approach is described generally and the method is applied to an example motor geometry. The results were validated by FEA (Finite Element Analysis), using the 2D multi-slice and 3D modelling approaches. The modelling error was calculated and the analytical and numerical methods were compared. It was found that the proposed model was suitable for calculating important parameters of the anisotropic rotor axial flux permanent magnet synchronous motor (AnR-AFPMSM) during the design process.

Open Access: Yes

DOI: 10.1049/elp2.12298

Minimal Non-C-Perfect Hypergraphs with Circular Symmetry

Publication Name: Symmetry

Publication Date: 2023-05-01

Volume: 15

Issue: 5

Page Range: Unknown

Description:

In this research paper, we study 3-uniform hypergraphs (Formula presented.) with circular symmetry. Two parameters are considered: the largest size (Formula presented.) of a set (Formula presented.) not containing any edge (Formula presented.), and the maximum number (Formula presented.) of colors in a vertex coloring of (Formula presented.) such that each (Formula presented.) contains two vertices of the same color. The problem considered here is to characterize those (Formula presented.) in which the equality (Formula presented.) holds for every induced subhypergraph (Formula presented.) of (Formula presented.). A well-known objection against (Formula presented.) is where (Formula presented.), termed “monostar”. Steps toward a solution to this approach is to investigate the properties of monostar-free structures. All such (Formula presented.) are completely identified up to 16 vertices, with the aid of a computer. Most of them can be shown to satisfy (Formula presented.), and the few exceptions contain one or both of two specific induced subhypergraphs (Formula presented.), (Formula presented.) on five and six vertices, respectively, both with (Formula presented.) and (Formula presented.). Furthermore, a general conjecture is raised for hypergraphs of prime orders.

Open Access: Yes

DOI: 10.3390/sym15051114

Effect of Simulated Transport Conditions on Microbiological Properties of Bottled Natural Mineral Water

Publication Name: Water Switzerland

Publication Date: 2023-05-01

Volume: 15

Issue: 9

Page Range: Unknown

Description:

Bottled mineral water is distributed globally through complex supply chains, making it available far beyond its bottling plants. In low-viscosity food matrices, invisible changes may occur due to shaking. The primary purpose of this research was to investigate the potential correlation between the intensity of mechanical agitation and the number of detectable microorganisms in bottled mineral water. The simulation of dynamic mechanical vibration was conducted using both time-accelerated and real-time tests. Freshly bottled natural mineral water and commercially available mineral water brands from different bottling locations and times were subjected to random vibration at three intensities as specified by the ASTM D-4169-16 standard, which simulates road transport on semi-trailer trucks. The study investigated the specific growth rate, the generation time, and the maximum cell numbers of microorganisms. The quantitative PCR (qPCR) technique was used to determine and compare the concentrations of microbes. Dynamic mechanical vibration affected the microbiome of mineral waters, influencing growth rates and generation times. In the case of waters from different bottling locations and times, the specific growth rate varied significantly for each water and for each intensity. This finding demonstrates that the microbiome composition of the water source and the interaction between microbes influence the response to mechanical impact. The time-accelerated test was shown to be suitable for analyzing the reaction of the microbiome of the tested matrix to the intensity and duration of vibration. The applied test protocol enabled the monitoring of changes in cell numbers by qPCR. All three intensities of the time-accelerated method were effective in testing the effects of real-time mechanical agitation on the microbiome.

Open Access: Yes

DOI: 10.3390/w15091757

Crisis Resilience of Startup Companies (The Case of Hungary among the Visegrad Countries with a Focus on the Pandemic)

Publication Name: Sustainability Switzerland

Publication Date: 2023-05-01

Volume: 15

Issue: 9

Page Range: Unknown

Description:

The study examines the crisis resilience of startup companies in Hungary among the Visegrad countries as a result of the pandemic situation. It aims to provide guidance on what support is needed for startups in the post-crisis period to re-launch the economy and to contribute to the region’s economy with positive results. The research was carried out in two stages: first, in 2021 through an online survey, and then, in 2022 in-depth interviews due to the economic crisis caused by COVID-19 and the Russian–Ukrainian war. A mixed research methodology was used, which comprised an online questionnaire administered in the Crunchbase database (n = 97) and in-depth interviews among startup founders and experts of the startup ecosystem (n = 22). The research summarizes the V4 countries’ measures to protect entrepreneurship with a particular focus on startups. The research found that a crisis such as a pandemic did not have a uniformly negative impact on startups. The winners of the economic crisis are startups in IT, healthcare (Medtech. health-tech), e-commerce and digital education, while those who fared worst are startups in tourism and hospitality. The positive impact of the crisis has been a cleansing of the startup ecosystem. Business support measures supported the viable startups and helped them survive.

Open Access: Yes

DOI: 10.3390/su15097108

Evaluation of the Szapáry Long-Span Box Girder Bridge Using Static and Dynamic Load Tests

Publication Name: Infrastructures

Publication Date: 2023-05-01

Volume: 8

Issue: 5

Page Range: Unknown

Description:

This paper presents the results of a recent field test carried out before the opening phases of the Szapáry motorway bridge across the Tisza River in central Hungary. The evaluation test was based on static and dynamic load tests that provided information on deflection, stresses, and dynamic mode shapes along the bridge. The structure has two large continuous independent steel box girders that cover spans across the floodplain and river. Various configurations of truck loading applied up to 6400 kN of loading on the deck. During the static tests, string potentiometers recorded deflections at mid-span. Additionally, strain gauges enabled strain/stress measurements at the mid-point of the longest span and directly above one support. Dynamic loadings showed variation in deflection response due to vehicle speed, and ambient vibration testing led to determining vibration modes and frequencies. A three-dimensional finite-element model produced similar deflections, stresses, and modal behavior. Measured and modeled deflections and stresses indicated that the bridge performed within design margins. The testing and analysis results will be part of a future program assessing conditioned-based maintenance.

Open Access: Yes

DOI: 10.3390/infrastructures8050091