18525 research outputs found
Sort by
Planting Seeds for Graduate Student Success!: A Summer-Long Intensive to Support Dissertation Proposal Writing and Research
No full textPlanting Breaths, Weeding Doubts: Restorative Practices and Contemplative Pedagogy for Classroom Practice and Teaching Library Research Skills
No full text
Social entrepreneurship success: Relevance to social mediating technologies
No full textImplementing effective social entrepreneurship can result in a better redistribution of wealth and well-being in society. Social mediating technologies are digital transformation tools that can fulfill specific goals and the success of social entrepreneurship. This paper aims to answer the following research question: What makes social entrepreneurship successful and what is its relevance to social mediating technologies? This paper utilizes a meta-analysis method through a review of the literature, data analyses, and inductive reasoning to reach two research propositions: (1) social mediating technologies support the achievement of social entrepreneurship success and social network capabilities, and (2) social mediating technologies and social network capabilities support the realization of social entrepreneurship success. These two propositions have been further validated through industrial data analyses. A conceptual framework has been created and analyzed to portray the research question. The framework has created three constructs, including social mediating technologies, social network capabilities, and social entrepreneurship success. This study contributed to the social entrepreneurship field by adopting technological success factors and establishing the inter-relationships among these three constructs in the framework
Adolescents’ beliefs about sex: The moderating effects of peer attitudes
No full textPeer beliefs and attitudes play a prominent role in adolescent behaviors. Various curricula have been developed to teach students about sexual health from a skills-based perspective with successful, lasting effects. This study examined how adolescents’ expectancies for success in and values held for a sexual health curriculum are related to their attitudes toward waiting to have sex, attitudes toward using a condom, self-efficacy in negotiating condom use, self-efficacy in refusal skills, and self-efficacy in navigating tricky situations, depending on their perceptions of their peers’ attitudes. Results indicate that perceived peer attitudes toward waiting to have sex were a significant moderator, more so than peer attitudes about condom use. Additionally, results suggest that sex plays a role in students’ sexual health beliefs and self-efficacies. Future work should examine further explanatory paths and influences such as caregivers
Stochastic geometric analysis with applications
No full textThis book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differential Equations (PDEs). It aims to investigate the influence of geometry on diffusions induced by underlying structures, such as Riemannian or sub-Riemannian geometries, and examine the implications for solving problems in PDEs, mathematical finance, and related fields. The book aims to unify the relationships between PDEs, nonholonomic geometry, and stochastic processes, focusing on a specific condition shared by these areas known as the bracket-generating condition or Hörmander\u27s condition. The main objectives of the book are: To unify the relationship between PDEs, nonholonomic geometry, and stochastic processes by examining the common condition imposed on vector fields in both fields. To explore diffusions induced by underlying geometry, whether Riemannian or sub-Riemannian, and study how curvature affects the diffusion of Brownian movement along curves. To compute heat kernels and fundamental solutions for various operators, using stochastic methods, and analyze their properties. To investigate the dynamics of elliptic and sub-elliptic diffusions on different geometric structures and their applications. To explore the connections between sub-elliptic differential systems and sub-Riemannian geometry. To analyze the dynamics of LC-circuits using variational approaches and establish their relationship with stochastic analysis and geometric analysis.
The intended audience for this book includes researchers and practitioners in mathematics, physics, and engineering, who are interested in stochastic techniques applied to geometry and PDEs, as well as their applications in mathematical finance and electrical circuits
Measuring early relational health using PediaTrac™ in a diverse sample of infant-caregiver dyads
No full text
Towards a transparency-based, value-sensitive design solution for bias in self-driving cars: An ethical violation assessment and risk analysis framework on consumer-held values
Get PDFBackground: The rapid growth of automated systems and artificial intelligence (AI), particularly, self-driving cars (SDCs), has attracted significant investments and can potentially contribute to humanity’s flourishing. However, before widespread adoption, it is important to address ethical violations such as bias in AI, highlighted by many real-world cases of bias in AI leading to unfair outcomes in tools like facial recognition, hiring software, and pedestrian detection. Bias in AI can lead to potentially fatal outcomes in SDCs, emphasizing the need for a thorough examination of bias in SDCs.
Purpose: To enhance AI ethics by providing tools to support transparency and value- sensitive design in self-driving cars (SDCs).
Methods: The four-methodology framework (a) an AI value-mapping database, (b) a consumer values and SDC acceptance survey, (c) an ethical violation analysis and risk assessment (EVARA), and (d) a demonstration of the open ethics data passport for AI bias mitigation in SDCs.
Findings: The study\u27s findings indicate that human welfare, universal usability, and trust were the prevalent values in the AIVMDB filtering analysis case study output, and significantly influenced SDC acceptance. Human welfare was highlighted as a critical value in the EVARA case study, with its violation posing a high risk. While the OEDP is not fully demonstrated in a case study, its elements were explained to showcase its potential utility and application and revealed patterns and areas of potential mitigation.
Contribution: The results of the AIVMDB, survey, EVARA, and OEDP analysis revealed concerning patterns in machine learning (ML) model training data labeling and gathering practices that can be easily identified and potentially mitigated.
Conclusions: Aligning AI systems like SDCs with human values is achievable but requires careful attention. Identifying and mitigating ethical issues in ML model training data is crucial, as these mistakes can have severe consequences. Collaborative efforts are needed to ensure AI\u27s positive impact on society while minimizing potential harm