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Una de las cuestiones con las que se enfrenta una unidad académica que lleva adelante cursos de e-learning, es la referida a la interoperabilidad en ambientes heterogéneos, definida por la IEEE (Learning Technology Sta...

Aims: Periacetabular osteotomy (PAO) is technically demanding with an assumed steep learning curve. This systematic review and meta-analysis evaluated how surgeon experience influences operative efficiency, perioperative...

Multimode fibers (MMF) were initially developed to transmit digital information encoded in the time domain. There were few attempts in the late 60s and 70s to transmit analog images through MMF. With the availability of ...

The article examines the role of Massive Open Online Courses (MOOCs) in the professional activities of university teachers in Ukraine, particularly in the context of digital transformation and the disruption of tradition...

Abstract Globally groundwater depletion threatens water security with aquifer storage declining at 300 km³/year. Climate change intensifies flood frequency and magnitude causing agricultural and other losses. Punjab, I...

This study examined the relationships between Big Five personality traits and learning emotions among Chinese undergraduate music students, while also validating psychometric instruments adapted to the music education co...

This work presents a hybrid deep learning approach for identifying students who are likely to experience academic difficulties in virtual learning environments. The proposed framework is evaluated on the Open University ...

Abstract Federated Learning (FL) has been widely used in Internet of Things (IoT) environments as a promising decentralized framework capable of collaborative model training without exposing local data. Despite its advan...

In the busy and stressful modern world, people tend to disregard mental health, still it is an important factor of overall health. The constant pressure to achieve success, the invasive nature of technology, and the cons...

The article presents the developed algorithm and software for automated monitoring of strawberry plant growth using neural network technologies. The YOLO11x and YOLOx-seg models, pre-trained by transfer learning, are ada...

Background and objectives: The multiple chest x-ray datasets released in the last years have ground-truth labels intended for different computer vision tasks, suggesting that performance in automated chest x-ray interpre...

Abstract Optical methods deployed for studying motion and deformation of objects often struggle to distinguish small displacements hidden behind observational noise. In geophysical applications, this has limited analysis...

The selective broadband absorption of solar radiation plays a crucial role in applying solar energy. However, despite being a decade-old technology, the rapid and precise designs of selective absorbers spanning from the ...

Photonics inverse design relies on human experts to search for a design topology that satisfies certain optical specifications with their experience and intuitions, which is relatively labor-intensive, slow, and sub-opti...

BackgroundOral submucosal fibrosis (OSF) is a chronic and progressive disorder, caused by chewing areca nuts, affecting the oral cavity and oropharynx. OSF is characterized by severe symptoms like severe burning sensatio...

BackgroundAutistic children experience enduring difficulties with emotion regulation and daily participation. Emotion-oriented play-learning tools (EPLTs, sensory play-learning tools for supporting emotion and self-regul...

The current study investigates how attitudes towards digital transformation and personal innovativeness affect the acceptance of emergency remote learning in the COVID-19 pandemic environment. The pandemic has affected...

IntroductionOngoing digital transformation in Higher Education emphasizes the centrality of educators' digital competence for high-quality, student-centered teaching. This competence includes informed, ethical and pedago...

VLE (Virtual Learning Environments) are rapidly falling short to meet the demandsof a networked society. Web 2.0 and social networks are proving to offer a morepersonalized, open environment for students to learn formall...

Abstract A prompt and precise diagnosis is necessary to lessen the worldwide burden of asthma, a common chronic respiratory condition. Spirometry is one of the resource-intensive conventional methods that frequently misc...

Background: In learning other language, higher education students’ perceptions of independent learning—including their motivations, challenges, strategies, and its impact on achievement—are crucial to investigate. ...

Abstract This paper investigates the extent to which dishonest behavior can be predicted using behavioral personality traits and physiological information. An interpretable machine learning approach, SHapley Additive exP...

Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated significant advancements across numerous research fields. A key objective in this area is the design of ultra-compac...

Recently, deep learning has yielded transformative success across optics and photonics, especially in optical metrology. Deep neural networks (DNNs) with a fully convolutional architecture (e.g., U-Net and its derivative...