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Humanities and Arts

An Evaluation of Khanmigo, a Generative AI Tool, as a Computer-Assisted Language Learning App

The recent advancement in technology has attracted learners’ attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This paper, therefore, endeavors to decipher the pot...
Posted 8 months ago

Humanities and Arts

Generative AI as Writing or Speaking Partners in L2 Learning: Implications for Learning-Oriented Assessments

The advent of generative AI (GenAI) technology has impacted second language (L2) learning and assessment, offering new opportunities for learners to practice and improve their skills. One approach gaining interest is employing GenAI tools as writing or speaking partners to provide personalized, real-time feedback and assistance to learners. These interactions allow learners to practice the...
Posted 8 months ago

Physics Maths Engineering

On-demand quantum light sources for underwater communications

Abstract Quantum communication has been at the forefront of modern research for decades, however it is severely hampered in underwater applications, where the properties of water absorb nearly all useful optical wavelengths and prevent them from propagating more than, in most cases, a few metres. This research reports on-demand quantum light sources...
Posted 8 months ago

Physics Maths Engineering

Midgap state requirements for optically active quantum defects

Abstract Optically active quantum defects play an important role in quantum sensing, computing and communication. The electronic structure and the single-particle energy levels of these quantum defects in the semiconducting host have been used to understand their optoelectronic properties. Optical excitations that are central for their initializatio...
Posted 8 months ago

Biomedical

How to Capture the Rage? Development and Validation of a State-Trait Anger Scale

Our research seeks to contribute to the existing literature on emotion measurement and research by proposing a new anger metric that addresses limitations of previous scales. This metric shows promise in meeting modern standards and drawing from traditional methods, potentially impacting the study of emotions. Additionally, our study explores cross-cultural congruence in assessing anger between En...
Posted 7 months ago

Biomedical

The DOES Scale: Measuring Sensory Processing Sensitivity as a Trait Constellation

Based on Aron’s (2020) DOES model, we developed the DOES Scale to measure Sensory Processing Sensitivity (SPS) with four dimensions: Depth of Processing, Overstimulation, Emotional Reactivity, and Sensing the Subtle. Using interview data from the study by Roth et al. (2023), we created a 20-item questionnaire (5 items per dimension) in German and English. In three studies with 1,365 subj...
Posted 7 months ago

Biomedical

Effects of Reference Group Instructions on Big Five Trait Scores

People responding to personality questionnaires rate themselves by comparing themselves to some reference group, but this reference group is typically not specified. In this study, we examined the differences between Big Five trait scores when people responded to trait questionnaires without a specified reference group, as is typical in personality assessment, and when they were asked to ...
Posted 7 months ago

Biomedical

Worldwide inverse correlation between Bacille Calmette-Guérin immunization and COVID-19 morbidity and mortality

Abstract The COVID-19 pandemic has spread to all countries in the world after more than six months since it was first reported in late 2019, and different countries have been impacted differently. Correlation analysis between COVID-19 death numbers and different demographic and socioeconomic factors for all world countries (n=210) as of June 1, 2020, revea...
Posted 7 months ago

Physics Maths Engineering

Wastewater Treatment Using a Combination of Pumpkin seed Waste After Extraction of Essential Oils (Bio-Coagulant) and Ferric Chloride (Chemical Coagulant): Optimization and Modeling Using a Box–Behnken Design

The wastewater treatment involves various techniques at different technological levels. Treatment takes place in several stages, of which coagulation and flocculation are the most important. Most suspended solids are indeed eliminated during this stage by the addition of a coagulant. In this research, bio-coagulant was extracted from pumpkin seed (PS) waste after extraction of the essentia...
Posted 2 weeks ago

Social Science

Hybrid Machine Learning Model for Hurricane Power Outage Estimation from Satellite Night Light Data

Hurricanes can cause massive power outages and pose significant disruptions to society. Accurately monitoring hurricane power outages will improve predictive models and guide disaster emergency management. However, many challenges exist in obtaining high-quality data on hurricane power outages. We systematically evaluated machine learning (ML) approaches to reconstruct historical hurricane...
Posted 2 weeks ago

RNfinity

Showing Results For:

An Evaluation of Khanmigo, a Generative AI Tool, as a Computer-Assisted Language Learning App

Generative AI as Writing or Speaking Partners in L2 Learning: Implications for Learning-Oriented Assessments

On-demand quantum light sources for underwater communications

Midgap state requirements for optically active quantum defects

How to Capture the Rage? Development and Validation of a State-Trait Anger Scale

The DOES Scale: Measuring Sensory Processing Sensitivity as a Trait Constellation

Effects of Reference Group Instructions on Big Five Trait Scores

Worldwide inverse correlation between Bacille Calmette-Guérin immunization and COVID-19 morbidity and mortality

Wastewater Treatment Using a Combination of Pumpkin seed Waste After Extraction of Essential Oils (Bio-Coagulant) and Ferric Chloride (Chemical Coagulant): Optimization and Modeling Using a Box–Behnken Design

Hybrid Machine Learning Model for Hurricane Power Outage Estimation from Satellite Night Light Data