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Abstract Objective This study analyzes the role of clinical simulation in internal medical residency programs (IMRP) in Obstetrics and Gynecology (OB/GYN), attributed by the supervisors, in the training of residents in ...

This book is the result of a research project called EU-TeachPaaS, funded by the European Union through the Erasmus+ programme (2020-1-ES01-KA226-HE-095035). EU-TeachPaaS complies with the priority area “Innovative pra...

The Health Sciences Faculty of the Universidad Tecnológica de Pereira has been advancing in the generation of new knowledge and has explored various fields of knowledge. This book presents four pieces of research that h...

The article is devoted to reviewing the main methods of practice-oriented teaching of medical students at the Department of Internal Medicine No. 1, Clinical Immunology and Allergology named after Academician Y. M. Neyko...

Multiport interferometers based on integrated beamsplitter meshes have recently captured interest as a platform for many emerging technologies. In this paper, we present a novel architecture for multiport interferometers...

Head-mounted extended reality (XR) has emerged as a powerful tool in medical education for simulation of clinical and surgical situations. Another potentially powerful clinical tool of XR may be to help clinicians furthe...

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...

Conventional meta-atom designs rely heavily on researchers’ prior knowledge and trial-and-error searches using full-wave simulations, resulting in time-consuming and inefficient processes. Inverse design methods based ...

Complex-amplitude holographic metasurfaces (CAHMs) with the flexibility in modulating phase and amplitude profiles have been used to manipulate the propagation of wavefront with an unprecedented level, leading to higher ...

Abstract Pressure fluctuation due to rotor-stator interaction in turbomachinery is unavoidable, inducing strong vibration in the equipment and shortening its lifecycle. The investigation of optimization methods for an in...

In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged a...

The focus of this research is optimizing a wind power plant using a Permanent Magnet Synchronous Generator (PMSG). The backpropagation method of the artificial neural network system was chosen to optimize the output powe...

Programmable feedforward photonic meshes of Mach–Zehnder interferometers are computational optical circuits that have many classical and quantum computing applications including machine learning, sensing, and telecommu...

To date, various optimization algorithms have been used to design non-intuitive photonic structures with unconventional optical performance. Good training datasets facilitate the optimization process, particularly when a...

This qualitative research aimed to understand the experiences of a fourth-year medical class during two clinical simulation scenarios of type 2 diabetes management in Primary Care. Ten simulated students were interviewed...

Abstract Objective To evaluate the performance of residents in gynecology and obstetrics before and after practicing laparoscopic sutures, to establish when the training shows the best results, in addition to comparing ...