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Technological Innovations and Renewable Integration in Smart Cities: Enhancing Sustainability, Governance, and Security
MITHUN R,
Dr. Roopadarshini S
Posted: 21 November 2024
Factors Influencing Higher Institution Experience of African American Students—Bowie State University
Adetunji Oduduwa
Posted: 21 November 2024
The Impact of Internet Addiction on Adolescents Mental Health: A Meta‑analytic Review
Elena Soriano-Molina,
Rosa M. Limiñana-Gras,
Rosa María Patró-Hernández,
María Rubio-Aparicio
Posted: 21 November 2024
Investigating Social Media Influencers' Impact on Travel Decisions: A Data-Driven Study
KEERTANA M,
Vijay Vishnukumar
With an emphasis on how social media influencers affect travelers' views, preferences, and travel decisions, this research investigates the impact of these individuals on tourism decision-making. Using a combination of quantitative and qualitative methods, the research evaluates the influence of key influencer characteristics- such as authenticity, trustworthiness, expertise, and engagement on the attitudes and decisions of potential travelers. The findings aim to provide tourism marketers with actionable insights on effective influencer collaboration strategies to enhance engagement and promote destinations. A sample of 108 respondents was surveyed, and the data was analyzed using Chi-Square tests and simple percentage analysis to draw meaningful conclusions. The results offer valuable guidance for crafting targeted marketing campaigns that appeal to today’s digitally engaged and travel-savvy audience.
With an emphasis on how social media influencers affect travelers' views, preferences, and travel decisions, this research investigates the impact of these individuals on tourism decision-making. Using a combination of quantitative and qualitative methods, the research evaluates the influence of key influencer characteristics- such as authenticity, trustworthiness, expertise, and engagement on the attitudes and decisions of potential travelers. The findings aim to provide tourism marketers with actionable insights on effective influencer collaboration strategies to enhance engagement and promote destinations. A sample of 108 respondents was surveyed, and the data was analyzed using Chi-Square tests and simple percentage analysis to draw meaningful conclusions. The results offer valuable guidance for crafting targeted marketing campaigns that appeal to today’s digitally engaged and travel-savvy audience.
Posted: 21 November 2024
The Impact of Psychological Interventions on Student Performance: A Study on the MIT Integration Bee
Nishant Gadde,
Saketh Mallavaram,
Shreyan Dey,
Arnav Senapathi
Posted: 21 November 2024
Climate Change and Health: A Study of the Attitudes of Future Science Teachers
María Rocío Pérez-Mesa,
Yair Alexander Porras-Contreras,
Rosa Nidia Tuay-Sigua
Posted: 21 November 2024
Design and Implementation of a Musical System for Development of Creative Activities Through Electroacoustics in Educational Contexts
Esteban Peris,
Adolf Murillo,
Jesus Tejada
In the field of music education, the incorporation of technology originally designed for professionals presents both significant opportunities and challenges. These technologies, although advanced and powerful, are often not adapted to meet the specific needs of the educational environment. Therefore, this study details the design and implementation process of a system consisting of a hardware device called "Play Box" an associated software, "Imaginary Play Box". The Design Sciences Research Methodology (DSRM) specifically adapted to software development was used to structure the project. The three phases shown in this study ranged from the conception of an initial prototype to the realisation of a working software.
During the design phase, a questionnaire was developed to evaluate various aspects of the software, such as the visual interface, the programming of components and the sound interactivity provided by the Play Box. The technique of panels of experts in music pedagogy and programming in MAX-MSP was used to obtain critical feedback. This expert evaluation was crucial to iterate and polish the process of iteration and refining the software, culminating in a beta version optimised for the creation of electroacoustic music for music education.
In the field of music education, the incorporation of technology originally designed for professionals presents both significant opportunities and challenges. These technologies, although advanced and powerful, are often not adapted to meet the specific needs of the educational environment. Therefore, this study details the design and implementation process of a system consisting of a hardware device called "Play Box" an associated software, "Imaginary Play Box". The Design Sciences Research Methodology (DSRM) specifically adapted to software development was used to structure the project. The three phases shown in this study ranged from the conception of an initial prototype to the realisation of a working software.
During the design phase, a questionnaire was developed to evaluate various aspects of the software, such as the visual interface, the programming of components and the sound interactivity provided by the Play Box. The technique of panels of experts in music pedagogy and programming in MAX-MSP was used to obtain critical feedback. This expert evaluation was crucial to iterate and polish the process of iteration and refining the software, culminating in a beta version optimised for the creation of electroacoustic music for music education.
Posted: 21 November 2024
Maintain a Positive Attitude and Visit Urban Forest Parks More Often! Using Positive Emotions as a Mediating Variable Between Nature and Happiness
Zhengkang Bai,
Shuangquan Zhang,
Hui He
With the acceleration of urbanization around the world, city dwellers face increasing levels of work stress and mental health issues, which negatively impact their happiness. The purpose of this study was to explore the impact of natural environment on residents' mental health and well-being in urban forest parks, and to analyze the relationship between natural environment perception, psychological recovery, restorative environment perception and subjective well-being. Through a questionnaire survey conducted in a botanical garden in Hunan Province, 504 valid samples were collected. Through structural equation model (SEM) analysis, the results show that: (1) natural environment perception has significant positive effects on psychological recovery and restorative environment perception. (2) Psychological recovery as an intermediary variable significantly improved residents' subjective well-being. In addition, the characteristics of an individual's social background, such as gender, education level, occupation, and frequency of visits, are closely related to the perception and well-being of the natural environment. Among them, the increase of the frequency of visit has a significant positive effect on the improvement of individual's natural environment perception, restorative environment perception, subjective well-being and psychological recovery. The results show that: (1) Urban planners should improve the accessibility of urban forest parks and integrate restorative elements into the design. (2) Encourage residents to visit frequently to improve mental health and well-being. The results of this study provide empirical support for the value of urban forest parks in promoting public mental health and well-being, and provide scientific basis for urban planning and green space management.
With the acceleration of urbanization around the world, city dwellers face increasing levels of work stress and mental health issues, which negatively impact their happiness. The purpose of this study was to explore the impact of natural environment on residents' mental health and well-being in urban forest parks, and to analyze the relationship between natural environment perception, psychological recovery, restorative environment perception and subjective well-being. Through a questionnaire survey conducted in a botanical garden in Hunan Province, 504 valid samples were collected. Through structural equation model (SEM) analysis, the results show that: (1) natural environment perception has significant positive effects on psychological recovery and restorative environment perception. (2) Psychological recovery as an intermediary variable significantly improved residents' subjective well-being. In addition, the characteristics of an individual's social background, such as gender, education level, occupation, and frequency of visits, are closely related to the perception and well-being of the natural environment. Among them, the increase of the frequency of visit has a significant positive effect on the improvement of individual's natural environment perception, restorative environment perception, subjective well-being and psychological recovery. The results show that: (1) Urban planners should improve the accessibility of urban forest parks and integrate restorative elements into the design. (2) Encourage residents to visit frequently to improve mental health and well-being. The results of this study provide empirical support for the value of urban forest parks in promoting public mental health and well-being, and provide scientific basis for urban planning and green space management.
Posted: 20 November 2024
Navigating the Human-Robot Interface – Exploring Humans Interactions and Perceptions with Social and Telepresence Robots
Eva Mårell-Olsson,
Suna Bensch,
Thomas Hellström,
Hannah Alm,
Amanda Hyllbrant,
Mimmi Leonardson,
Sanna Westberg
This study investigates user experiences of interaction with two types of robots: Pepper, a social humanoid robot, and Double 3, a self-driving telepresence robot. Conducted in a controlled setting with a specific participant group, this research aims to understand how different robot embodiments affect user perception, interaction patterns, and emotional responses. The findings underscore the role of adaptability, effective communication, autonomy, and perceived credibility in user-centered robot design. Despite limitations in sample size, the study provides insights into the ethical and social considerations of integrating AI in public and professional spaces, highlighting implications for enhancing user-centered design and expanding applications for Social and Telepresence robots in society.
This study investigates user experiences of interaction with two types of robots: Pepper, a social humanoid robot, and Double 3, a self-driving telepresence robot. Conducted in a controlled setting with a specific participant group, this research aims to understand how different robot embodiments affect user perception, interaction patterns, and emotional responses. The findings underscore the role of adaptability, effective communication, autonomy, and perceived credibility in user-centered robot design. Despite limitations in sample size, the study provides insights into the ethical and social considerations of integrating AI in public and professional spaces, highlighting implications for enhancing user-centered design and expanding applications for Social and Telepresence robots in society.
Posted: 20 November 2024
The Topics, Methods, and Significance of a Higher Cognition Theory
Yingrui Yang
The present paper outlines a pathway for the study of higher cognition. In the forward, the classical model of higher cognition is first introduced. The following contents are divided into five sections. Section 1 emphasizes the mutual dependence between empirical research and normative theory in three major subdomains of cognitive science, namely, reasoning, decision-making, and competition. A unified approach towards integrating reasoning with decision-making and competition is explained. Section 2 describes the modeling of hesitation within cognitive processes, which can be formulated in terms of cognitive fluctuations and permits a dynamical description. Specifically, the notion of logical charge is introduced to explain reasoning dynamics. What may be termed as the motion of logical charge is shown to be associated with a logical current and cognitive field, which in turn draws decision-making towards one of two poles, that being either commitment or refusal. Section 3 extends the powerful tools of dynamic analysis, previously applied for cognitive dynamics, to the domain of economics. It is shown how an interpretation of the Standard Model in the context of economic dynamics lends itself to a comprehensive framework that describes market dynamics, sub-economic dynamics, economic externality dynamics, the model of ordinary rationality, and the inequality mechanism in political economics. Section 4 details a stochastic statistical model relevant to quantum yes-no experiments. Finally, Section 5 provides a general discussion for the future of higher cognition research.
The present paper outlines a pathway for the study of higher cognition. In the forward, the classical model of higher cognition is first introduced. The following contents are divided into five sections. Section 1 emphasizes the mutual dependence between empirical research and normative theory in three major subdomains of cognitive science, namely, reasoning, decision-making, and competition. A unified approach towards integrating reasoning with decision-making and competition is explained. Section 2 describes the modeling of hesitation within cognitive processes, which can be formulated in terms of cognitive fluctuations and permits a dynamical description. Specifically, the notion of logical charge is introduced to explain reasoning dynamics. What may be termed as the motion of logical charge is shown to be associated with a logical current and cognitive field, which in turn draws decision-making towards one of two poles, that being either commitment or refusal. Section 3 extends the powerful tools of dynamic analysis, previously applied for cognitive dynamics, to the domain of economics. It is shown how an interpretation of the Standard Model in the context of economic dynamics lends itself to a comprehensive framework that describes market dynamics, sub-economic dynamics, economic externality dynamics, the model of ordinary rationality, and the inequality mechanism in political economics. Section 4 details a stochastic statistical model relevant to quantum yes-no experiments. Finally, Section 5 provides a general discussion for the future of higher cognition research.
Posted: 20 November 2024
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