Unveiling Students’ Experiences and Perceptions of Artificial Intelligence Usage in Higher Education

This study explores the utilization and perception of Artificial Intelligence (AI) tools among students in higher education. With the growing accessibility of AI technologies, their integration into educational settings presents a new frontier for enhancing learning experiences. This research adopts a mixed-methods approach, including surveys and interviews, to delve into how students employ AI tools and their perceived benefits and drawbacks of AI usage in the context of entrepreneurship education in a business school. The findings reveal a diverse range of AI applications, highlighting benefits such as increased productivity, personalized learning, and enhanced linguistic capability. However, concerns regarding academic integrity, over-reliance on AI, and the need for clear usage guidelines are also identified. This study contributes to the understanding of AI's role in higher education and provides much-needed empirical evidence of AI usage from students’ perspectives. Our findings underscore the importance of balanced, informed, and ethical use of AI tools in higher education.</jats:p

Using genotyping-by-sequencing to understand Musa diversity

Poster presented at Plant and Animal Genome, PAG XXII. San Diego (USA), 11-15 Jan 201

Field-Angle and DC-Bias Dependence of Spin-Torque Diode in Giant Magnetoresistive Microstripe

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Timing estimation and resynchronization for amplify-and-forward communication systems

This paper proposes a general framework to effectively estimate the unknown timing and channel parameters, as well as design efficient timing resynchronization algorithms for asynchronous amplify-and-forward (AF) cooperative communication systems. In order to obtain reliable timing and channel parameters, a least squares (LS) estimator is proposed for initial estimation and an iterative maximum-likelihood (ML) estimator is derived to refine the LS estimates. Furthermore, a timing and channel uncertainty analysis based on the CramrRao bounds (CRB) is presented to provide insights into the system uncertainties resulted from estimation. Using the parameter estimates and uncertainty information in our analysis, timing resynchronization algorithms that are robust to estimation errors are designed jointly at the relays and the destination. The proposed framework is developed for different AF systems with varying degrees of timing misalignment and channel uncertainties and is numerically shown to provide excellent performances that approach the synchronized case with perfect channel information. © 2006 IEEE.published_or_final_versio

Author's reply to "comments on 'timing estimation and resynchronization for amplify-and-forward communication systems'"

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An efficient and positivity-preserving layer method for modeling radiation belt diffusion processes

An efficient and positivity-preserving layer method is introduced to solve the radiation belt diffusion equation and is applied to study the bounce resonance interaction between relativistic electrons and magnetosonic waves. The layer method with linear interpolation, denoted by LM-L (layer method-linear), requires the use of a large number of grid points to ensure accurate solutions. We introduce a monotonicity- and positivity-preserving cubic interpolation method to be used with the Milstein-Tretyakov layer method. The resulting method, called LM-MC (layer method-monotone cubic), can be used to solve the radiation belt diffusion equation with a much smaller number of grid points than LM-L while still being able to preserve the positivity of the solution. We suggest that LM-MC can be used to study long-term dynamics of radiation belts. We then develop a 2-D LM-MC code and use it to investigate the bounce resonance diffusion of radiation belt electrons by magnetosonic waves. Using a previously published magnetosonic wave model, we demonstrate that bounce resonance with magnetosonic waves is as important as gyroresonance; both can cause several orders of magnitude increase of MeV electron fluxes within 1ﾠday. We conclude that bounce resonance with magnetosonic waves should be taken into consideration together with gyroresonance