Online learning

OBJECTIVE: The utilization of digital technologies has experienced a notable surge, particularly in cases where access to cadavers is constrained, within the context of practical neuroanatomy training. This study evaluates augmented reality (AR)- and virtual reality (VR)-based educational models for neuroanatomy education. METHODS: Three-dimensional models were created using advanced photogrammetry. VR- and AR-based educational models were developed by arranging these 3D models to align with the learning objectives of neurosurgery residents and second-year medical students whose cadaveric training was disrupted due to an earthquake in Turkey...

Continuing medical education plays a pivotal role in fostering and upholding the standard of excellence in medicine. Both SPOC (small private online course) and BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) methodologies are rooted in the same educational and learning theories, emphasizing active student engagement, interaction, and feedback. Using ultrasound-guided spinal anesthesia as an exemplar, we aimed to investigate the feasibility of blended teaching (combination of BOPPPS and SPOC) for anesthesiology clinicians and explore trainees' and trainers' perspectives towards the innovative method...

INTRODUCTION: One of the targets for the third sustainable development goals is to reduce worldwide maternal mortality ratio (MMR) to less than 70 deaths per 100,000 live births by 2030. To address issues affecting women and the newborns during childbirth and postnatal period, concerted efforts from governments and their stakeholders are crucial to maximize the use of technology to enhance frontline health professionals' skills to provide the emergency obstetric and newborn care (EmONC)...

BACKGROUND: Collegial conversations are important for sustainable learning to last beyond a course. Research on collegial conversations and peer learning in the workplace during psychiatric residency courses remains sparse, however. In this study, the aim was to explore residents' opportunities for collegial conversations during and after national courses in psychiatry. METHODS: Residents in psychiatry completed an online survey including questions on opportunities for collegial conversations in their workplaces...

Medical imaging is limited by acquisition time and scanning equipment. CT and MR volumes, reconstructed with thicker slices, are anisotropic with high in-plane resolution and low through-plane resolution. We reveal an intriguing phenomenon that due to the mentioned nature of data, performing slice-wise interpolation from the axial view can yield greater benefits than performing super-resolution from other views. Based on this observation, we propose an Inter-Intra-slice Interpolation Network (I3 Net), which fully explores information from high in-plane resolution and compensates for low through-plane resolution...

Offline reinforcement learning (offline RL) aims to find task-solving policies from prerecorded datasets without online environment interaction. It is unfortunate that extrapolation errors can cause over-optimistic Q -value estimates when learning with a fixed dataset, limiting the performance of the learned policy. To tackle this issue, this article proposes an offline actor-critic with behavior value regularization (OAC-BVR) method. In the policy evaluation stage, the difference between the Q -function and the value of the behavior policy is considered as the regularization term, driving the learned value function to approach the value of the behavior policy...

Social media platforms have surpassed cultural and linguistic boundaries, thus enabling online communication worldwide. However, the expanded use of various languages has intensified the challenge of online detection of hate speech content. Despite the release of multiple Natural Language Processing (NLP) solutions implementing cutting-edge machine learning techniques, the scarcity of data, especially labeled data, remains a considerable obstacle, which further requires the use of semisupervised approaches along with Generative Artificial Intelligence (Generative AI) techniques...

We investigated the experiences of Brazilian gay men with HIV, focusing on the moment of diagnosis and its potential biopsychosocial impacts. This clinical-qualitative study involved 15 participants interviewed online and synchronously by a clinical psychologist in 2021. Thematic analysis was employed to analyze the data. Interpretations were grounded in Minority Stress Theory. Four thematic axes emerged, including "Diagnostic Revelation", "Social and Internalized Stigma", "Biopsychosocial Effects of Living with HIV", and "Gratitude for Treatment Advances and the Brazilian Health System"...

UNLABELLED: Universities are active agents of social change through knowledge, providing citizens with the necessary abilities to face professional challenges. This work aims to evaluate and analyse the adaptation of emotional regulation in learning situations of group work in virtual and hybrid (virtual and presential) environments, of a group of students of Physical Activity and Sport Sciences belonging to a Chilean university and a Spanish university. METHOD: A total of 107 students from a Chilean university and a Spanish university, all of them enrolled in the degree in Physical Activity and Sport Sciences, participated in the study...

Performance during training is a poor predictor of long-term retention. Worse yet, conditions of training that produce rapidly improving performance typically do not produce long-lasting, generalizable learning. As a result, learners and instructors alike can be misled into adopting training or educational experiences that are suboptimal for producing actual learning. Computer-based educational training platforms can counter this unfortunate tendency by providing only productive conditions of instruction-even if they are unintuitive (e...

With the increased emphasis on competition in academic settings, anxiety is becoming more common, which inevitably has some impact on students' learning processes and results. This study aimed to explore how competition-induced anxiety influences students' subjective cognitive load (SCL), attention levels, and test scores. We also investigated the mediating role of the behavioral inhibition system/behavioral activation system (BIS/BAS) in those factors. A total of 101 college students were recruited in Study 1 to learn from five micro-lectures from massive open online courses (MOOCs) under competitive and non-competitive conditions...

Learning management systems (LMSs) have received substantial global attention and have undergone extensive research, with most discussions focusing on users' acceptance and continuation of LMS use in the higher education sector. However, research is scarce in terms of identifying the factors that are advantageous to K-12 students' learning and satisfaction when using LMSs for language learning. This study aims to examine the impacts of internal and contextual factors on secondary students' learning satisfaction and English achievement when using LMSs...

Physical exercise is crucial to the development of students' physical and mental health. This study explored the relationship between live sports learning and college students' exercise behaviors, and the mediating roles of exercise motivation and exercise commitment, aiming to provide theoretical bases for the future that explain the mechanism of live sports learning in exercise behaviors, as well as practical guidance for the promotion of positive physical exercise behaviors in college students. In total, 1189 college students from China volunteered to complete questionnaires...

Previous research has primarily focused on static factors influencing cooperative behavior in social dilemmas, with less attention given to dynamic factors within group social interactions, such as positive feedback received during interactions, i.e., praise. This study, through a between-subjects online experiment with a single-factor, two-level design (praise: public praise/no praise), investigates the impact of praise on cooperative behavior changes across two rounds of a three-player public goods problem...

BACKGROUND: The prevalence of Type 2 diabetes (DM) and prediabetes (preDM) has been increasing among youth in recent decades in the United States, prompting an urgent need for understanding and identifying their associated risk factors. Such efforts, however, have been hindered by the lack of easily accessible youth preDM/DM data. OBJECTIVE: We aimed to first build a high quality, comprehensive epidemiological dataset focused on youth preDM/DM. Subsequently, we aimed to make this data accessible by creating a user-friendly web portal to share it and corresponding codes...

OBJECTIVE: UK endoscopy training is delivered by trainers possessing well developed endoscopy and teaching skills to help learners perform high-quality endoscopy. Train The Trainer (TTT) courses are effective, but additional trainer support is variable with little formal quality assurance. We performed a survey to map UK endoscopy training, assess trainer perspectives on training delivery and identify factors that would enhance training. DESIGN/METHOD: An online survey was designed by trainer representatives, in collaboration with the JAG training committee, and collected responses from trainers registered on JAG endoscopy training system e-portfolio from April to June 2022...

To collaborate and share medical knowledge between US and Caribbean physicians during the COVID-19 pandemic via a free online continuing medical education (CME) series.  Method: This was a multi-institution collaborative effort between the Southern Regional Area Health Education Center and Cape Fear Valley Medical Center, both located in North Carolina, USA, and its Caribbean partners, the Guyana Medical Council and Ministry of Health, and the University of the West Indies Medical Alumni Association, Jamaica...

Machine learning (ML) identification of covalently ligandable sites may accelerate targeted covalent inhibitor design and help expand the druggable proteome space. Here, we report the rigorous development and validation of the tree-based models and convolutional neural networks (CNNs) trained on a newly curated database (LigCys3D) of over 1000 liganded cysteines in nearly 800 proteins represented by over 10,000 three-dimensional structures in the protein data bank. The unseen tests yielded 94 and 93% area under the receiver operating characteristic curves for the tree models and CNNs, respectively...

BACKGROUND: Digital learning is a cost-effective and time-saving approach in higher education. The present study aimed to check the impact of continuing nursing education programs through digital learning by connecting Indian nurses to NIMHANS Digital Academy (NDA). MATERIALS AND METHODS: One group pre-test and post-test design was used for this study. Overall, 217 nurses registered for the course and 146 nurses were recruited on the basis of eligibility and their Expression of Interest (EoI) through the online registration portal...

BACKGROUND: In Switzerland, palliative care (PC) clinical training is well established at undergraduate and specialist postgraduate levels. However, postgraduate nonspecialist training curricula are less documented. LOCAL PROBLEM: A structured curriculum for nonspecialist rotation within internal medicine (IM) in specialized PC wards is lacking. OBJECTIVE: To pilot two versions of a PC nonspecialist curriculum for IM residents in Swiss PC units...