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Shot boundary detection is the process of identifying and locating the boundaries between individual shots in a video sequence. A shot is a continuous sequence of frames that are captured by a single camera, without any cuts or edits. Recent investigations have shown the effectiveness of the use of 3D convolutional networks to solve this task due to its high capacity to extract spatiotemporal features of the video and determine in which frame a transition or shot change occurs. When this task is used as part of a scene segmentation use case with the aim of improving the experience of viewing content from streaming platforms, the speed of segmentation is very important for live and near-live use cases such as start-over. The problem with models based on 3D convolutions is the large number of parameters that they entail. Standard 3D convolutions impose much higher CPU and memory requirements than do the same 2D operations. In this paper, we rely on depthwise separable convolutions to address the problem but with a scheme that significantly reduces the number of parameters. To compensate for the slight loss of performance, we analyze and propose the use of visual self-attention as a mechanism of improvement.

This study presents a pioneering approach that leverages advanced sensing technologies and data processing techniques to enhance the process of clinical documentation generation during medical consultations. By employing sophisticated sensors to capture and interpret various cues such as speech patterns, intonations, or pauses, the system aims to accurately perceive and understand patient–doctor interactions in real time. This sensing capability allows for the automation of transcription and summarization tasks, facilitating the creation of concise and informative clinical documents. Through the integration of automatic speech recognition sensors, spoken dialogue is seamlessly converted into text, enabling efficient data capture. Additionally, deep models such as Transformer models are utilized to extract and analyze crucial information from the dialogue, ensuring that the generated summaries encapsulate the essence of the consultations accurately. Despite encountering challenges during development, experimentation with these sensing technologies has yielded promising results. The system achieved a maximum ROUGE-1 metric score of 0.57, demonstrating its effectiveness in summarizing complex medical discussions. This sensor-based approach aims to alleviate the administrative burden on healthcare professionals by automating documentation tasks and safeguarding important patient information. Ultimately, by enhancing the efficiency and reliability of clinical documentation, this innovative method contributes to improving overall healthcare outcomes. [ABSTRACT FROM AUTHOR]

Pain assessment is a critical aspect of healthcare, influencing timely interventions and patient well-being. Traditional pain evaluation methods often rely on subjective patient reports, leading to inaccuracies and disparities in treatment, especially for patients who present difficulties to communicate due to cognitive impairments. Our contributions are three-fold. Firstly, we analyze the correlations of the data extracted from biomedical sensors. Then, we use state-of-the-art computer vision techniques to analyze videos focusing on the facial expressions of the patients, both per-frame and using the temporal context. We compare them and provide a baseline for pain assessment methods using two popular benchmarks: UNBC-McMaster Shoulder Pain Expression Archive Database and BioVid Heat Pain Database. We achieved an accuracy of over 96% and over 94% for the F1 Score, recall and precision metrics in pain estimation using single frames with the UNBC-McMaster dataset, employing state-of-the-art computer vision techniques such as Transformer-based architectures for vision tasks. In addition, from the conclusions drawn from the study, future lines of work in this area are discussed. [ABSTRACT FROM AUTHOR]

With robotics applications playing an increasingly significant role in our daily lives, it is crucial to develop effective methods for teaching and understanding their behavior. However, limited access to physical robots in educational institutions and companies poses a significant obstacle for many individuals. To overcome this barrier, a novel framework that combines realistic robot simulation and intuitive control mechanisms within a virtual reality environment is presented. By accurately emulating the physical characteristics and behaviors of various robots, this framework offers an immersive and authentic learning experience. Through an intuitive control interface, users can interact naturally with virtual robots, facilitating the acquisition of practical robotics skills. In this study, a qualitative assessment to evaluate the effectiveness and user satisfaction with the framework is conducted. The results highlighted its usability, realism, and educational value. Specifically, the framework bridges the gap between theoretical knowledge and practical application in robotics, enabling users to gain hands-on experience and develop a deeper understanding of robot behavior and control strategies. Compared to existing approaches, the framework provides a more accessible and effective alternative for interacting with robots, particularly for individuals with limited physical access to such devices. In conclusion, the study presents a comprehensive framework that leverages virtual reality technology to enhance the learning and training process in robotics. By combining realistic simulations and intuitive controls, this framework represents a significant advancement in providing an immersive and effective learning environment. The positive user feedback obtained from the study reinforces the value and potential of the framework in facilitating the acquisition of essential robotics skills. Ultimately, this work contributes to flattening the robotics learning curve and promoting broader access to robotics education. [ABSTRACT FROM AUTHOR]

Introduction: Currently the operation management system and continual reference filed against problems such as: inadequate coordination between different levels of care, ill-founded references contrarreferencias insufficient, deficient information and guidance for patients, lack of facilitators system mechanism at state, jurisdictional and operational level and inadequate and inappropriate monitoring of cases. The renewal of the current care system is necessary to gradually establish programs to facilitate the timeliness, quality and continuity of patient care; along with education for self-care for patients, training for primary care level through academic courses and seminars aimed at the detection and early diagnosis of major cardiac diseases and a preventive approach them. In addition, it is intended that the primary care physician to remain continuously trained to carry out effective and efficient monitoring of patients and thus improve the continuity care of them. General Objective: Set a document by which formalize and standardize the procedures for reference and counter of patients between medical units consolidating integrated care networks and training of clinical management units that allow us on the one hand, improve the resolving power of the two levels of care and on the other, ensuring that care is timely, comprehensive, integrated, continuous quality and warmth. Specific Objectives: Standardize operating mechanisms of our system of reference and counter reference. Promote coordination and communication between the administrative and operational levels of the units. Establish clinical management modules to enhance the resolving power units. Facilitate the transfer of critically ill patients or urgent care medical units between first level and second or third level of care to promote continuity of care. Optimize human and material resources available to avoid duplication and waste of resources consultations. Implementation: Engaging stakeholders in steering management and the coordination of expertise, reference and Emergency Regional Hospital and Clinic Lindavista, to form the "SIRECO committee" to evaluate the inter-level problems and identify root problems which derives the lack of resoluteness of our reference system and contrarreferecia. we have come to make significant agreements to enhance communication and conduct the start of integrated care programs among institutions mentioned. In session every fifteen days and shaping the activities in a minute according to a general plan covering the following strategies: Reorganization and coordination Training Prevention Results: The committee began its sessions two months ago, during which we have maintained communication and dialogue between management units, which did not exist. Initially creating a care path, as a pilot, of the cardiology resolution and to give continuity to patients requiring pacemakers and catheterization. We have made three placements pacemaker and three catheterizations without actually duplicating consultation as previously patients requiring request a consultation cardiology tertiary only to realize the authorization procedure, which generated conflicts medically indicated between specialists and saturation agendas and lag. From this change, we can reduce the saturacón agendas, reduce procedure time from four weeks to two weeks, ensuring continuity of care and strengthen longuitudinalidad of the primary care unit. And, to reorganize agendas, the development of a module cardiology image for echocardiograms realizatr dobutamine echocardiography transthoracic through internal management was implemented to avoid unnecessary spending on budget items of subrogacón services achieving reduced by one month to 60 % of spending. Conlusiones: Strengthening dialogue management and clinical management units created to encourage communication; you can start the foundations of our integrated health system and develop strategies that promote continuity and person centered care attention. We have found that the rigid administrative management of the institutions generates resistance to change, but that through the development of leadership makers decisions and bilateral strategic planning is possible to perform a change (albeit small) in current models of health. It is expected that in the long term, we manage to continue implementing new strategies and reaffirming care network and generate the appropriate measuring instruments. [ABSTRACT FROM AUTHOR]