Social networking sites and social media serve as vital avenues of interaction among people all o... more Social networking sites and social media serve as vital avenues of interaction among people all over the world as well as essential platforms for the distribution of information. Companies, like individuals, embrace social networks as a non-formal way to engage with their customers and suppliers, gather information about their online behavior, and offer personalized content. Both scholars and managers from various organizations looking to increase their competitive edge or market shares have an interest in the impact that social networks have on human behavior. Because of this, the current research seeks to investigate how users perceive a wide range of concepts related to using social networking sites, including fear of missing out (FoMO), social networking fatigue, information and communication overload, ubiquitous connectivity and peer communication, and privacy concerns. The authors also examined users’ intentions to continue using social networking sites despite the COVID-19 ou...
Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-d... more Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-driven management decisions may also play a role, especially in the cold start problem, which has been tackled with various degrees of success by different techniques. We, therefore, advocate an approach based on capturing managerial priorities in the act of recommendation building-our proposal is to complement the customer-centric view (affected by uncertainty) with a machine-readable business-centric view. For this purpose, the paper presents a computational pipeline for the "digital nudging" of recommendations-it starts by capturing a manager's priorities with diagrammatic means, which are further exposed as a Knowledge Graph to a recommender built on a modified version of the Onicescu method, which takes into consideration a business utility concept to inform decision-making. The research follows the Design Science methodology, resulting in an artifact that tackles the cold-start through a bydesign "digital nudging" mechanism embedded in the recommender system through a semantic pipeline whose ingredients are (a) Agile Modeling Method Engineering (to setup up the diagrammatic tool for prioritization rules), (b) the RDF framework (to capture the diagrammatic rules in a knowledge graph), and (c) the Onicescu multi-criteria decision method modified according to Zipf's Law, made popular by Internet marketing. The evaluation was based on surveys with potential stakeholders. The implications are that the notion of "digital nudging" can take a knowledge-driven form, engineered as an artifact that bridges the decision-makers' perspective and priorities (captured by diagrammatic means) with the customerfacing output (recommendations), instead of relying solely on the accumulated history of transactional data. This interpretation of digital nudging may be extended towards other "digital choice environments" where contextual decisions are called to influence computational output. Limitations are related to the experimental nature of the implementation tools (proof-of-concept), where some manual graph transformations are still needed to pass the information through the pipeline.
Journal of Applied Computer Science & Mathematics, 2009
The aim of this paper is to offer a solution for amobile system, based on platform independent so... more The aim of this paper is to offer a solution for amobile system, based on platform independent solution andvirtual globe software integrate sensors' information of vehicleparameters and geo position dates obtained from MultiMap,using the GIS's strongpoint on spatial analyzing and use oflocation and communication equipment based on GPS andGPRS. We presents the system objective, function, componentmodules and key techniques in the procedure of systemdevelopment. The system, focused on the spatial informationand attribute information of vehicle and road, was developedand applied in MCLocator.
The sudden COVID-19-induced transition from a physical university life to a virtual one was a pai... more The sudden COVID-19-induced transition from a physical university life to a virtual one was a painful one for many students. Social distancing measures mean more than a simple change from face-to-face to online education. This study investigates how different social aspects, such as the students’ psychological sense of community, social capital, and use of social media, facilitated the perceived social support during the transition to the COVID-19 lockdown. Our results not only underline social media’s role, but also indicate that the perceived social support, as well as the bonding and bridging social capital, were particularly relevant during the transition process. Our findings are aimed at organizational management by recommending actionable ways in which they could improve social support by organizing computer-supported social networks, social support predictors, and specialized interventions for students with less perceived social support. As such, the study provides unique in...
Lecture Notes in Business Information Processing, 2015
Mobile@Old is a friendly low cost intelligent AAL platform designed to meet the needs of elderly ... more Mobile@Old is a friendly low cost intelligent AAL platform designed to meet the needs of elderly users with the purpose to assist old people with their daily activities, maintaining physical and cognitive fitness, maintaining connection to their close ones while increasing their safety, autonomy, self-confidence and mobility. Our paper considers 4 main scenarios emphasized by interviews conducted with the elders and caregivers: 1. Med (Medicine) designed for monitoring vital parameters and assessing the situation of the person who forgets to take their medicine in order to improve their condition, 2. Rem (Reminder scenarios) focused on problems related to cognitive ageing, 3. VSM (Vital Sign Monitoring) - activity analysis for monitoring vital parameters using medical expertise and observed behaviors, 4. PAT (Physical Activity Trainer) - consists of recommendations on performing additional exercise, if it detects a low level of physical activity. This solution is elder-centered, taking into account: the individual particularities, illness, level of acceptance and usability.
The sudden COVID-19-induced transition from a physical university life to a virtual one was a pai... more The sudden COVID-19-induced transition from a physical university life to a virtual one was a painful one for many students. Social distancing measures mean more than a simple change from face-to-face to online education. This study investigates how different social aspects, such as the students' psychological sense of community, social capital, and use of social media, facilitated the perceived social support during the transition to the COVID-19 lockdown. Our results not only underline social media's role, but also indicate that the perceived social support, as well as the bonding and bridging social capital, were particularly relevant during the transition process. Our findings are aimed at organizational management by recommending actionable ways in which they could improve social support by organizing computersupported social networks, social support predictors, and specialized interventions for students with less perceived social support. As such, the study provides unique insights into the COVID-19-induced lockdown situation among students, while offering a transition model that is also generalized to other settings.
Online stores currently use recommendation systems (RSs) quasi-universally to provide their custo... more Online stores currently use recommendation systems (RSs) quasi-universally to provide their customers with added value and increase their profits, thus reshaping the world of e-commerce. RSs, however, depend on the availability of e-commerce user data to be effective. Nevertheless, data privacy regulations are increasingly becoming more restrictive and e-commerce users more aware of and concerned about their data being collected, stored, and processed for RSs. On the other hand, in the RSs context, there is currently a very limited understanding of e-commerce users' attitudes toward data privacy and of these attitudes' antecedents. This study examines the influence that an RS's perceived usefulness has on e-commerce users in terms of a specific RS collecting, storing, and processing their data. In addition, this study investigates the extent to which RSs' overall relevance for users depends on their perceived usefulness and users' degree of consent. We conducted an online survey of 597 e-commerce users, thereafter analyzing the data by means of partial least squares structural equation modeling (PLS-SEM). The results indicate that an RS's perceived usefulness positively and significantly influences the extent to which users consent to the RS's provider collecting and storing their data, which in turn also impact RSs' overall relevance for e-commerce users. The findings have practical implications for e-commerce industry players, as well as for national and international authorities responsible for online data privacy regulations
M-learning is a trending field in educational organizations, companies, and also for individual s... more M-learning is a trending field in educational organizations, companies, and also for individual study. However, in some regions the ampleness of the phenomenon is not quantifiable or comparable due to the lack of an adequate framework and reliable metrics. Our research intends to make a little light by assessing the degree of m-learning adoption in students at a moment when face-to-face education moved suddenly online due to the COVID-19 outbreak's rapid and unpredictable spread. A new model relying on the Unified Theory of Acceptance and Use of Technology (UTAUT) was built to investigate and explain relationships between constructs. It reveals the key factors affecting technology adoption by considering hedonic motivation a mediator instead of an exogenous variable as in UTAUT2. Based on an analysis of 311 higher education learners, the way how performance expectancy, effort expectancy, social influence, and facilitating conditions influence directly or indirectly the behavioral intention is researched. The analysis was conducted employing partial least squares structural equation modeling. The strongest relationship is between hedonic motivation and behavioral intention followed by the one between perceived effectiveness and hedonic motivation. Age, gender, and experience moderate the model's relationships. Research contributes to theory development by successfully adjusting the original UTAUT model. Results indicate that universities may offer learners an enjoyable m-learning experience by activating social support groups and inserting gameplay elements into the learning system.
Journal of Information Systems and Operations Management, 2016
This paper describes an application that aims to monitor and stimulate physical activity adapted ... more This paper describes an application that aims to monitor and stimulate physical activity adapted to elderly people. The application is implemented as a part of Mobile@Old platform. The specific exercises and the speed of the trainer is adapted to the user’s movements. Health parameters like fatigue, respiratory rate, heart rate (HR), systolic blood pressure (BPS) and diastolic blood pressure (BPD) are recovered from the Kinect parameters or transmitted via the mobile application. The evaluations we made concern both those who wore the Kinect sensor and those who use the mobile version.
In this article, we will present a study on the Internet market necessary in the case of launchin... more In this article, we will present a study on the Internet market necessary in the case of launching a new electronic business. At present, a large number of e-commerce websites has invaded the virtual space. For this reason, before launching a business, it is very important to make an analysis, especially in the context of Web 2.0 which gives a winning edge over e-businesses that lack social connectivity and high usability features. In this article, we have approached a very important sub-domain of the electronic marketing, namely SEO (Search Engineering Optimization). The launching of an electronic business is very important, but the way the business develops has a vital role, especially the continuous optimization of the dynamic web site, in order to maintain it to the top of the search result list. For our purposes, a statistical study was applied, using the Kolmogorov-Smirnov test.
Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-d... more Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-driven management decisions may also play a role, especially in the cold start problem, which has been tackled with various degrees of success by different techniques. We, therefore, advocate an approach based on capturing managerial priorities in the act of recommendation building-our proposal is to complement the customer-centric view (affected by uncertainty) with a machine-readable business-centric view. For this purpose, the paper presents a computational pipeline for the "digital nudging" of recommendations-it starts by capturing a manager's priorities with diagrammatic means, which are further exposed as a Knowledge Graph to a recommender built on a modified version of the Onicescu method, which takes into consideration a business utility concept to inform decision-making. The research follows the Design Science methodology, resulting in an artifact that tackles the c...
Currently, adipose tissue is considered an endocrine organ, however, there are still many questio... more Currently, adipose tissue is considered an endocrine organ, however, there are still many questions regarding the roles of adipokines—leptin and ghrelin being two adipokines. The purpose of the study was to assess the relationship between the adipokines and their ratio with obesity and diabetes. Methods: Sixty patients (mean age 61.88 ± 10.08) were evaluated. Cardiovascular risk factors, leptin, ghrelin, and insulin resistance score values were assessed. The patients were classified according to their body mass index (BMI) as normal weight, overweight, and obese. Results: 20% normal weight, 51.7% overweight, 28.3% obese, and 23.3% diabetic. Obese patients had higher leptin values (in obese 34,360 pg/mL vs. overweight 18,000 pg/mL vs. normal weight 14,350 pg/mL, p = 0.0049) and leptin/ghrelin ratio (1055 ± 641 vs. 771.36 ± 921 vs. 370.7 ± 257, p = 0.0228). Stratifying the analyses according to the presence of obesity and patients’ gender, differences were found for leptin (p = 0.0020...
2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2015
Cardiovascular diseases (CVD) represent a severe cause in mortality cases over the world. Early d... more Cardiovascular diseases (CVD) represent a severe cause in mortality cases over the world. Early detection and foreseeing of future developments are essential goals for every cardiologist. For this reason, detecting and understanding several factors that trigger cardiovascular diseases is essential. As we have emphasized in eProcord spreadsheets (a 3-year research project that assessed the cardiovascular risk through medical and modeling methods and identified patterns for patients), Database Management Systems, statistical, and Machine-Learning soft-wares are tools which can be used in order to identify these factors through data analysis. This paper presents an approach towards concept data analysis of medical data using a mathematization of the classical notion of concept which has been implemented in the knowledge management suite ToscanaJ, grounded on the Conceptual Knowledge Processing paradigm. Starting from this premise, we propose a human centered method to investigate, represent, process and acquire knowledge from a medical database. This method offers a reasoning support for an expert centered visualization of previous collected data which facilitates a better understanding of cardiovascular risk assessment hypotheses, in order to ground a solid environment for these hypotheses. We use the visualization capabilities of Formal Concept Analysis in order to explore the knowledge encoded in these data and we give an overview on how the Conceptual Knowledge Processing methods can be used as a knowledge discovery tool for datasets related to cardiovascular diseases.
Purpose-This paper investigates if the existing degree of students' acceptance and use of mobile ... more Purpose-This paper investigates if the existing degree of students' acceptance and use of mobile or mlearning may face the online shift determined by SARS-CoV-2. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), a new comprehensive model, SD-UTAUT (Social Distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators. Design/methodology/approach-The paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling. Findings-SD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between perceived effectiveness and HM. IQ affected LV the most, since HM the behavioral use. HM impacts the use behavior more than LV, but habit affects it the most. Research limitations/implications-Because of the pandemic context, output may lack generalizability and reproducibility. Practical implications-To improve usage, staff must provide better support, course creators emphasize the objectives and competencies, and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the learning value through interesting and interactive content, like incorporating gamification. Originality/value-The model setup and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces GPA as moderator.
Social networking sites and social media serve as vital avenues of interaction among people all o... more Social networking sites and social media serve as vital avenues of interaction among people all over the world as well as essential platforms for the distribution of information. Companies, like individuals, embrace social networks as a non-formal way to engage with their customers and suppliers, gather information about their online behavior, and offer personalized content. Both scholars and managers from various organizations looking to increase their competitive edge or market shares have an interest in the impact that social networks have on human behavior. Because of this, the current research seeks to investigate how users perceive a wide range of concepts related to using social networking sites, including fear of missing out (FoMO), social networking fatigue, information and communication overload, ubiquitous connectivity and peer communication, and privacy concerns. The authors also examined users’ intentions to continue using social networking sites despite the COVID-19 ou...
Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-d... more Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-driven management decisions may also play a role, especially in the cold start problem, which has been tackled with various degrees of success by different techniques. We, therefore, advocate an approach based on capturing managerial priorities in the act of recommendation building-our proposal is to complement the customer-centric view (affected by uncertainty) with a machine-readable business-centric view. For this purpose, the paper presents a computational pipeline for the "digital nudging" of recommendations-it starts by capturing a manager's priorities with diagrammatic means, which are further exposed as a Knowledge Graph to a recommender built on a modified version of the Onicescu method, which takes into consideration a business utility concept to inform decision-making. The research follows the Design Science methodology, resulting in an artifact that tackles the cold-start through a bydesign "digital nudging" mechanism embedded in the recommender system through a semantic pipeline whose ingredients are (a) Agile Modeling Method Engineering (to setup up the diagrammatic tool for prioritization rules), (b) the RDF framework (to capture the diagrammatic rules in a knowledge graph), and (c) the Onicescu multi-criteria decision method modified according to Zipf's Law, made popular by Internet marketing. The evaluation was based on surveys with potential stakeholders. The implications are that the notion of "digital nudging" can take a knowledge-driven form, engineered as an artifact that bridges the decision-makers' perspective and priorities (captured by diagrammatic means) with the customerfacing output (recommendations), instead of relying solely on the accumulated history of transactional data. This interpretation of digital nudging may be extended towards other "digital choice environments" where contextual decisions are called to influence computational output. Limitations are related to the experimental nature of the implementation tools (proof-of-concept), where some manual graph transformations are still needed to pass the information through the pipeline.
Journal of Applied Computer Science & Mathematics, 2009
The aim of this paper is to offer a solution for amobile system, based on platform independent so... more The aim of this paper is to offer a solution for amobile system, based on platform independent solution andvirtual globe software integrate sensors' information of vehicleparameters and geo position dates obtained from MultiMap,using the GIS's strongpoint on spatial analyzing and use oflocation and communication equipment based on GPS andGPRS. We presents the system objective, function, componentmodules and key techniques in the procedure of systemdevelopment. The system, focused on the spatial informationand attribute information of vehicle and road, was developedand applied in MCLocator.
The sudden COVID-19-induced transition from a physical university life to a virtual one was a pai... more The sudden COVID-19-induced transition from a physical university life to a virtual one was a painful one for many students. Social distancing measures mean more than a simple change from face-to-face to online education. This study investigates how different social aspects, such as the students’ psychological sense of community, social capital, and use of social media, facilitated the perceived social support during the transition to the COVID-19 lockdown. Our results not only underline social media’s role, but also indicate that the perceived social support, as well as the bonding and bridging social capital, were particularly relevant during the transition process. Our findings are aimed at organizational management by recommending actionable ways in which they could improve social support by organizing computer-supported social networks, social support predictors, and specialized interventions for students with less perceived social support. As such, the study provides unique in...
Lecture Notes in Business Information Processing, 2015
Mobile@Old is a friendly low cost intelligent AAL platform designed to meet the needs of elderly ... more Mobile@Old is a friendly low cost intelligent AAL platform designed to meet the needs of elderly users with the purpose to assist old people with their daily activities, maintaining physical and cognitive fitness, maintaining connection to their close ones while increasing their safety, autonomy, self-confidence and mobility. Our paper considers 4 main scenarios emphasized by interviews conducted with the elders and caregivers: 1. Med (Medicine) designed for monitoring vital parameters and assessing the situation of the person who forgets to take their medicine in order to improve their condition, 2. Rem (Reminder scenarios) focused on problems related to cognitive ageing, 3. VSM (Vital Sign Monitoring) - activity analysis for monitoring vital parameters using medical expertise and observed behaviors, 4. PAT (Physical Activity Trainer) - consists of recommendations on performing additional exercise, if it detects a low level of physical activity. This solution is elder-centered, taking into account: the individual particularities, illness, level of acceptance and usability.
The sudden COVID-19-induced transition from a physical university life to a virtual one was a pai... more The sudden COVID-19-induced transition from a physical university life to a virtual one was a painful one for many students. Social distancing measures mean more than a simple change from face-to-face to online education. This study investigates how different social aspects, such as the students' psychological sense of community, social capital, and use of social media, facilitated the perceived social support during the transition to the COVID-19 lockdown. Our results not only underline social media's role, but also indicate that the perceived social support, as well as the bonding and bridging social capital, were particularly relevant during the transition process. Our findings are aimed at organizational management by recommending actionable ways in which they could improve social support by organizing computersupported social networks, social support predictors, and specialized interventions for students with less perceived social support. As such, the study provides unique insights into the COVID-19-induced lockdown situation among students, while offering a transition model that is also generalized to other settings.
Online stores currently use recommendation systems (RSs) quasi-universally to provide their custo... more Online stores currently use recommendation systems (RSs) quasi-universally to provide their customers with added value and increase their profits, thus reshaping the world of e-commerce. RSs, however, depend on the availability of e-commerce user data to be effective. Nevertheless, data privacy regulations are increasingly becoming more restrictive and e-commerce users more aware of and concerned about their data being collected, stored, and processed for RSs. On the other hand, in the RSs context, there is currently a very limited understanding of e-commerce users' attitudes toward data privacy and of these attitudes' antecedents. This study examines the influence that an RS's perceived usefulness has on e-commerce users in terms of a specific RS collecting, storing, and processing their data. In addition, this study investigates the extent to which RSs' overall relevance for users depends on their perceived usefulness and users' degree of consent. We conducted an online survey of 597 e-commerce users, thereafter analyzing the data by means of partial least squares structural equation modeling (PLS-SEM). The results indicate that an RS's perceived usefulness positively and significantly influences the extent to which users consent to the RS's provider collecting and storing their data, which in turn also impact RSs' overall relevance for e-commerce users. The findings have practical implications for e-commerce industry players, as well as for national and international authorities responsible for online data privacy regulations
M-learning is a trending field in educational organizations, companies, and also for individual s... more M-learning is a trending field in educational organizations, companies, and also for individual study. However, in some regions the ampleness of the phenomenon is not quantifiable or comparable due to the lack of an adequate framework and reliable metrics. Our research intends to make a little light by assessing the degree of m-learning adoption in students at a moment when face-to-face education moved suddenly online due to the COVID-19 outbreak's rapid and unpredictable spread. A new model relying on the Unified Theory of Acceptance and Use of Technology (UTAUT) was built to investigate and explain relationships between constructs. It reveals the key factors affecting technology adoption by considering hedonic motivation a mediator instead of an exogenous variable as in UTAUT2. Based on an analysis of 311 higher education learners, the way how performance expectancy, effort expectancy, social influence, and facilitating conditions influence directly or indirectly the behavioral intention is researched. The analysis was conducted employing partial least squares structural equation modeling. The strongest relationship is between hedonic motivation and behavioral intention followed by the one between perceived effectiveness and hedonic motivation. Age, gender, and experience moderate the model's relationships. Research contributes to theory development by successfully adjusting the original UTAUT model. Results indicate that universities may offer learners an enjoyable m-learning experience by activating social support groups and inserting gameplay elements into the learning system.
Journal of Information Systems and Operations Management, 2016
This paper describes an application that aims to monitor and stimulate physical activity adapted ... more This paper describes an application that aims to monitor and stimulate physical activity adapted to elderly people. The application is implemented as a part of Mobile@Old platform. The specific exercises and the speed of the trainer is adapted to the user’s movements. Health parameters like fatigue, respiratory rate, heart rate (HR), systolic blood pressure (BPS) and diastolic blood pressure (BPD) are recovered from the Kinect parameters or transmitted via the mobile application. The evaluations we made concern both those who wore the Kinect sensor and those who use the mobile version.
In this article, we will present a study on the Internet market necessary in the case of launchin... more In this article, we will present a study on the Internet market necessary in the case of launching a new electronic business. At present, a large number of e-commerce websites has invaded the virtual space. For this reason, before launching a business, it is very important to make an analysis, especially in the context of Web 2.0 which gives a winning edge over e-businesses that lack social connectivity and high usability features. In this article, we have approached a very important sub-domain of the electronic marketing, namely SEO (Search Engineering Optimization). The launching of an electronic business is very important, but the way the business develops has a vital role, especially the continuous optimization of the dynamic web site, in order to maintain it to the top of the search result list. For our purposes, a statistical study was applied, using the Kolmogorov-Smirnov test.
Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-d... more Product recommendations are generally understood as data-drivenhowever, we argue that knowledge-driven management decisions may also play a role, especially in the cold start problem, which has been tackled with various degrees of success by different techniques. We, therefore, advocate an approach based on capturing managerial priorities in the act of recommendation building-our proposal is to complement the customer-centric view (affected by uncertainty) with a machine-readable business-centric view. For this purpose, the paper presents a computational pipeline for the "digital nudging" of recommendations-it starts by capturing a manager's priorities with diagrammatic means, which are further exposed as a Knowledge Graph to a recommender built on a modified version of the Onicescu method, which takes into consideration a business utility concept to inform decision-making. The research follows the Design Science methodology, resulting in an artifact that tackles the c...
Currently, adipose tissue is considered an endocrine organ, however, there are still many questio... more Currently, adipose tissue is considered an endocrine organ, however, there are still many questions regarding the roles of adipokines—leptin and ghrelin being two adipokines. The purpose of the study was to assess the relationship between the adipokines and their ratio with obesity and diabetes. Methods: Sixty patients (mean age 61.88 ± 10.08) were evaluated. Cardiovascular risk factors, leptin, ghrelin, and insulin resistance score values were assessed. The patients were classified according to their body mass index (BMI) as normal weight, overweight, and obese. Results: 20% normal weight, 51.7% overweight, 28.3% obese, and 23.3% diabetic. Obese patients had higher leptin values (in obese 34,360 pg/mL vs. overweight 18,000 pg/mL vs. normal weight 14,350 pg/mL, p = 0.0049) and leptin/ghrelin ratio (1055 ± 641 vs. 771.36 ± 921 vs. 370.7 ± 257, p = 0.0228). Stratifying the analyses according to the presence of obesity and patients’ gender, differences were found for leptin (p = 0.0020...
2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2015
Cardiovascular diseases (CVD) represent a severe cause in mortality cases over the world. Early d... more Cardiovascular diseases (CVD) represent a severe cause in mortality cases over the world. Early detection and foreseeing of future developments are essential goals for every cardiologist. For this reason, detecting and understanding several factors that trigger cardiovascular diseases is essential. As we have emphasized in eProcord spreadsheets (a 3-year research project that assessed the cardiovascular risk through medical and modeling methods and identified patterns for patients), Database Management Systems, statistical, and Machine-Learning soft-wares are tools which can be used in order to identify these factors through data analysis. This paper presents an approach towards concept data analysis of medical data using a mathematization of the classical notion of concept which has been implemented in the knowledge management suite ToscanaJ, grounded on the Conceptual Knowledge Processing paradigm. Starting from this premise, we propose a human centered method to investigate, represent, process and acquire knowledge from a medical database. This method offers a reasoning support for an expert centered visualization of previous collected data which facilitates a better understanding of cardiovascular risk assessment hypotheses, in order to ground a solid environment for these hypotheses. We use the visualization capabilities of Formal Concept Analysis in order to explore the knowledge encoded in these data and we give an overview on how the Conceptual Knowledge Processing methods can be used as a knowledge discovery tool for datasets related to cardiovascular diseases.
Purpose-This paper investigates if the existing degree of students' acceptance and use of mobile ... more Purpose-This paper investigates if the existing degree of students' acceptance and use of mobile or mlearning may face the online shift determined by SARS-CoV-2. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), a new comprehensive model, SD-UTAUT (Social Distancing-UTAUT), is developed to better understand relationships between the original constructs, plus personal innovativeness (PI) and information quality (IQ). It identifies the key factors affecting behavioral intention and use by examining the influence of revaluated hedonic motivation (HM) and learning value (LV) importance as mediators. Design/methodology/approach-The paper opted for an exploratory study involving 311 learners, using partial least squares structural equation modeling. Findings-SD-UTAUT can be a new m-learning model in higher education. It has high predictive power and confirmed 15 out of 16 hypotheses. The most powerful relationship is between perceived effectiveness and HM. IQ affected LV the most, since HM the behavioral use. HM impacts the use behavior more than LV, but habit affects it the most. Research limitations/implications-Because of the pandemic context, output may lack generalizability and reproducibility. Practical implications-To improve usage, staff must provide better support, course creators emphasize the objectives and competencies, and developers integrate innovation. The joy and pleasure of m-learning use may stimulate the learning value through interesting and interactive content, like incorporating gamification. Originality/value-The model setup and circumstances are previously unseen. SD-UTAUT confirms ten new hypotheses and introduces GPA as moderator.
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Papers by Dan Sitar