Extended reality technology for emergency medical service training: systematic review by Zhan Zhang, Maryam Moeini Meybodi, Aishwarya Ingale, Liza Karimova, Margarita Vinnikov

“…BackgroundExtended reality (XR) technologies, which generally encompass virtual, augmented, and mixed reality, and realized through head-mounted devices, have been increasingly adopted to support Emergency Medical Services (EMS) training.ObjectiveThe objective of this review is to synthesize the current applications of immersive technologies in EMS training.MethodsA systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) framework. …”
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Extended Reality–Enhanced Mental Health Consultation Training: Quantitative Evaluation Study by Katherine Hiley, Zanib Bi-Mohammad, Luke Taylor, Rebecca Burgess-Dawson, Dominic Patterson, Devon Puttick-Whiteman, Christopher Gay, Janette Hiscoe, Chris Munsch, Sally Richardson, Mark Knowles-Lee, Celia Beecham, Neil Ralph, Arunangsu Chatterjee, Ryan Mathew, Faisal Mushtaq

“… BackgroundThe use of extended reality (XR) technologies in health care can potentially address some of the significant resource and time constraints related to delivering training for health care professionals. …”
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Diverse Dataset for Eyeglasses Detection: Extending the Flickr-Faces-HQ (FFHQ) Dataset by Dalius Matuzevičius

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Impact of training intensity on cardiovascular responses in patients with coronary artery disease: extended systematic review and meta-analysis by Noor Fatihah Ilias, Mazlifah Omar, Sazzli Shahlan Kasim, Hashbullah Ismail

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Impact of training intensity on cardiovascular responses in patients with coronary artery disease: extended systematic review and meta-analysis by Noor Fatihah Ilias, Mazlifah Omar, Sazzli Shahlan Kasim, Hashbullah Ismail

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Platform Technology for Extended Reality Biofeedback Training Under Operant Conditioning for Functional Limb Weakness: Protocol for the Coproduction of an at-Home Solution (React2H... by Anirban Dutta, Abhijit Das

“…FND significantly impacts quality of life, with patients often experiencing physical disability and psychological distress. Extended reality (XR) technologies present a novel therapeutic opportunity by leveraging biofeedback training to target sensory attenuation and amplification mechanisms, aiming to restore motor function and the sense of agency. …”
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El aprender, el saber y el enseñar: los problemas en el aula vida Estudio de Revisión Sistemática. by Gonzalo Tamayo Giraldo, Analía Verónica Losada

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Extended reality technologies in higher education by A. L. Gorbunov

“…However, the majority of publications are dedicated to pilot studies exploring the integration of extended reality technologies in educational settings. …”
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Teacher Training by Lee Hsia Carmel Heah

“…Therefore, the guiding principle in training is to help teachers perceive options available, extend their repertoire or skill and, by familiarizing them with the principles under the courses, improve their ability to select appropriately from these skill options. …”
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Teacher Training by Lee Hsia Carmel Heah

“…Therefore, the guiding principle in training is to help teachers perceive options available, extend their repertoire or skill and, by familiarizing them with the principles under the courses, improve their ability to select appropriately from these skill options. …”
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Teacher Training by Lee Hsia Carmel Heah

“…Therefore, the guiding principle in training is to help teachers perceive options available, extend their repertoire or skill and, by familiarizing them with the principles under the courses, improve their ability to select appropriately from these skill options. …”
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Teacher Training by Lee Hsia Carmel Heah

“…Therefore, the guiding principle in training is to help teachers perceive options available, extend their repertoire or skill and, by familiarizing them with the principles under the courses, improve their ability to select appropriately from these skill options. …”
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Teacher Training by Lee Hsia Carmel Heah

“…Therefore, the guiding principle in training is to help teachers perceive options available, extend their repertoire or skill and, by familiarizing them with the principles under the courses, improve their ability to select appropriately from these skill options. …”
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Development of a polyurea-based composition with an extended life span by S. I. Romanov, O. A. Botvinova, E. A. Timakov, L. A. Chizhova, Yu. T. Panov

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Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics by A'Aeshah Alhakamy

“…(R.Q.3) What are the best practices for training AI to achieve real-time object recognition, spatial mapping, and scene understanding in diverse environments? …”
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Improving Token-Based Object Detection With Video by Abhineet Singh, Nilanjan Ray

“…This paper improves upon the Pix2Seq object detector by extending it for videos. In the process, it introduces a new way to perform end-to-end video object detection that improves upon existing video detectors in two key ways. …”
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Effect of an Extended Reality Simulation Intervention on Midwifery Students’ Anxiety: Systematic Review by Clara Pérez de los Cobos Cintas, Nicolas Vuillerme, Guillaume Thomann, Lionel Di Marco

“…Key findings were summarized in a structured table and grouped according to the learning objective, simulating and performing procedures in an educational setting. …”
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Garment Recognition and Reconstruction Using Object Simultaneous Localization and Mapping by Yilin Zhang, Koichi Hashimoto

“…Object SLAM (Simultaneous Localization and Mapping) was employed as the core methodology for real-time mapping and tracking. …”
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An extended database of annotated skylight polarization images covering a period of two months by Léo Poughon, Vincent Aubry, Jocelyn Monnoyer, Stéphane Viollet, Julien R Serres

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Enhanced Yolov8 network with Extended Kalman Filter for wildlife detection and tracking in complex environments by Langkun Jiang, Li Wu

“…The research findings reveal that the wilDT-YOLOv8n model attained an average detection accuracy (mAP50) of 88.54 % on the custom dataset, reflecting a 4.57 % enhancement over the original YOLOv8n model; the refined Extended Kalman Filter realizes a Multi-Object Tracking Accuracy (MOTA) of 40.35 %, representing a 3.923 % advancement over the original Kalman Filter. …”
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