Search Results (52)

Retrieving specific, often instantaneous, content from hours-long egocentric video footage based on hazily remembered details is challenging. Vision–language models (VLMs) have been employed to enable zero-shot textual-based content retrieval from videos. But, they fall short if the textual query contains ambiguous terms or users fail to specify their queries enough, leading to vague semantic queries. Such queries can refer to several different video moments, not all of which can be relevant, making pinpointing content harder. We investigate the requirements for an egocentric video content retrieval framework that helps users handle vague queries. First, we narrow down vague query formulation factors and limit them to ambiguity and incompleteness. Second, we propose a zero-shot, user-centered video content retrieval framework that leverages a VLM to provide video data and query representations that users can incrementally combine to refine queries. Third, we compare our proposed framework to a baseline video player and analyze user strategies for answering vague video content retrieval scenarios in an experimental study. We report that both frameworks perform similarly, users favor our proposed framework, and, as far as navigation strategies go, users value classic interactions when initiating their search and rely on the abstract semantic video representation to refine their resulting moments. Full article

Imaging applications involving outdoor scenes and fast motion require sensing and processing of high-dynamic-range images at video rates. In turn, image signal processing pipelines that serve low-dynamic-range displays require tone mapping operators (TMOs). For high-speed and low-power applications with low-cost field-programmable gate arrays (FPGAs), global TMOs that employ contrast-limited histogram equalization prove ideal. To develop such TMOs, this work proposes a MATLAB–Simulink–Vivado design flow. A realized design capable of megapixel video rates using milliwatts of power requires only a fraction of the resources available in the lowest-cost Artix-7 device from Xilinx (now Advanced Micro Devices). Unlike histogram-based TMO approaches for nonlinear sensors in the literature, this work exploits Simulink modeling to reduce the total required FPGA memory by orders of magnitude with minimal impact on video output. After refactoring an approach from the literature that incorporates two subsystems (Base Histograms and Tone Mapping) to one incorporating four subsystems (Scene Histogram, Perceived Histogram, Tone Function, and Global Mapping), memory is exponentially reduced by introducing a fifth subsystem (Interpolation). As a crucial stepping stone between MATLAB algorithm abstraction and Vivado circuit realization, the Simulink modeling facilitated a bit-true design flow. Full article

Background/Objectives: Effective communication between healthcare professionals and patient caregivers is paramount in the surgical waiting area, particularly during periods of heightened stress and emotional vulnerability. Globally, communication practices exhibit considerable variability, from traditional face-to-face interactions to integrating advanced digital technologies. Despite innovations, a comprehensive understanding of the impact of diverse communication strategies on patient caregiver satisfaction remains underdeveloped. This scoping review was designed to systematically map the existing literature on healthcare communication practices and identify strategies that may influence satisfaction among patient caregivers. Methods: A thorough search of multiple databases—Scopus, PubMed, CINAHL, Embase, ProQuest, Web of Science, the Cochrane Library, and clinical trial registries—was conducted. Only studies published in English or those for which an English full text was accessible were included. Eligible studies were those undertaken in hospital settings, including operating theaters, surgical units, surgical waiting areas, postoperative intensive care units, emergency departments, and other clinical areas focusing on patient caregivers. The review adhered to the methodological framework recommended by the Joanna Briggs Institute for scoping reviews and was reported following the most recent PRISMA-ScR guidelines. Results: Ultimately, five studies met the inclusion criteria. The selection process involved a structured search utilizing Medical Subject Headings (MeSH), keywords, and index terms, supplemented by manual reference list screening. Initial screening was performed based on titles and abstracts, followed by full-text evaluation using a standardized selection form. Data extraction focused on the communication methods, study designs, and outcomes related to patient caregiver satisfaction. The findings are synthesized narratively and presented through tables and figures, offering a comprehensive overview of global communication practices and their influence on patient caregiver satisfaction in surgical environments. Across the five included studies, digital communication interventions such as SMS, mobile apps, or video updates reported improved patient caregiver satisfaction (e.g., 70.8% in Canada and 97% in Switzerland) and also reduced patient caregiver anxiety (e.g., STAI score ≥ 44) in 74.2% of Ethiopian patient caregivers. Worldwide evidence highlights the practical importance of tailored digital communication practices to support providing timely and accessible information to patient caregivers, while also revealing gaps linked to insurance status, digital literacy, and various communication approaches in healthcare systems. Conclusions: The five studies included showed considerable variation in communication practices across surgical settings. The main findings reveal that structured, timely, and transparent communication, mainly via digital tools such as SMS updates and mobile applications, enhanced patient caregiver satisfaction and alleviated their emotional distress too. Nevertheless, gaps were identified in postoperative communication, and challenges, such as technological accessibility, digital literacy skills of patient caregivers, and inconsistent methods for measuring satisfaction outcomes, were noted across studies. This scoping review identified the different types of healthcare communication practices adopted globally in surgical care settings and also demonstrated their influence on patient caregiver satisfaction. Traditional and digital communication practices both have their significant impact on patient caregiver experiences in surgical healthcare settings, focusing more on timely and consistent real-time updates and culturally sensitive information. Addressing the existing communication gaps and having tailored communication approaches to specific contexts may lead to improved patient caregiver support and surgical outcomes. Full article

An international debate is taking place about embedding sustainability in higher education institutions (HEIs). Separate strands of literature address the importance of sustainability concepts and strategic change approaches. This paper explores conceptual development as an unfolding process within sustainability change initiatives. Data are derived from nine Change Laboratory workshops, conducted over 6 months, in which 20 stakeholders of varying backgrounds worked to create “a sustainable campus” in an HEI in Ireland. Transcribed video recordings and artefacts produced in workshops are analysed using activity theory principles to examine conceptual development, identifying four novel concepts created by stakeholders. The development of the Campus Sustainability Statement (CSS) concept is analysed in depth. It was produced in four stages of development—pursuing, in turn, a purposeful definition of “sustainability”, a shared framework to contextualise different actions, a mission statement for the campus, and the CSS proper. Each stage arose from a conflict of motives expressed within the coalition of participants, which was addressed by suggesting an abstract idea and considering its implications, with the latter stages also including attempts to embed and objectify the concept. Successive ideas were challenged, refined, and/or abandoned by participants on the grounds of ethics, fit with the institution, and relevance to subsequent action, with the eventual CSS judged to be an acceptable basis for institutional work. This paper emphasises the processual importance of developing sustainability concepts within institutions, including the creative potential for addressing value tensions and the possibility for nurturing new forms of collective agency. Full article

Background: Virtual reality (VR) is an emerging technology that is proving to be effective in encouraging physical activity (PA) and improving health. Although regular PA has many advantages, physical inactivity continues to be a significant global health concern. Using an ActivPAL for PA assessment, this study examines the effects of an active video game (AVG) using VR on cognitive function among female university students. Methods: We randomly divided 44 sedentary female university students (mean age 21.3 years, SD 1.12 years) into two groups, the control group and VR group. During the study period, the VR group was required to play the Beat Saber VR game for 20 min, while the control group was required to remain quiet. Their cognitive performance was evaluated using the Montreal Cognitive Assessment (MoCA)—Arabic version pre- and post-test, and the PA level and intensity were tracked using the ActivPAL. Results: There was a significant difference between the MoCA total score pre-test (mean = 22.3, SD = 2.25) and the MoCA total score post-test (mean = 23.4, SD = 2.48), t (23) = 1.87, p = 0.03. The VR game significantly influenced the naming, abstraction, and orientation components of the MoCA scale (all p ≤ 0.05). The intensity of PA generated by the VR game was equivalent to moderate-to-vigorous PA, with a mean of 4.98 metabolic equivalents of task (MET) (SD = 1.20). Conclusions: The VR game improved the cognitive ability compared to the control group, suggesting that VR games have a positive impact on cognitive function. Physically inactive female university students have been found to benefit from VR games in terms of their cognitive function. Full article

The perception of time undergoes a radical shift between the human scale and the nanoscale. In an age of rapidly evolving media and scientific technologies, we need to understand how these impact human perception and visual culture. This essay explores computational molecular simulations through the lenses of temporal media theory and moving image practice. Emerging from a creative fellowship with a physical chemistry research group, I focus on two moving image works that depict crystalline structures. One is a nanoscale computational simulation of soot formation and the other is a durational video artwork showing the dissolution of sugar. Computational molecular simulations are shown to produce a feeling of time by smearing an extremely short duration across a longer perceptible duration. This analysis uncovers how the awareness of media as a construct troubles our chronoception (perception of time), while unexpectedly, the screen becomes complicit in scientists’ expert temporal understanding. The videos present vastly different spatial and temporal scales and have different chronoceptive effects: one gives a sense of being within time, the other across time. Ultimately, computational simulations emerge as isomorphic media that have explicit aesthetic properties that connect us to the implicit, abstract energetics of chemical reactivity. Full article

This article considers the formal and critical consequences of organizing an aesthetic corpus around the philosophical concept of the fragment via a reading of Aryan Kaganof’s “Ten Monologues from the Lives of the Serial Killers” (1994). This experimental video sets spoken accounts from the perspective of the likes of Ted Bundy and Charles Manson alongside grainy, ambiguous imagery. Instead of thematic meditations on violence, the monologues circle around quasi-nostalgic reflections on the past and the nature of identity. The film frustrates any language of formal analysis that would rely on accounting for what is present in the film, instead proposing a sympathy with poststructuralism’s efforts at displacing the metaphysics of appearance. Violence is not what resides ready-made within the work, nor is it reducible to the realm of the visible or the audible, but is an unstable process bound up with the act of reading itself. The fragment as a formal problem holds out the abstract, general notion of a break in ways that compel a rethinking of violence as something impersonal, rhythmic, and grammatical. Full article

In chaos control, one usually seeks to stabilize the unstable periodic orbits (UPOs) that densely inhabit the attractors of many chaotic dynamical systems. These orbits collectively play a significant role in determining the dynamics and properties of chaotic systems and are said to form the skeleton of the associated attractors. While UPOs are insightful tools for analysis, they are naturally unstable and, as such, are difficult to find and computationally expensive to stabilize. An alternative to using UPOs is to approximate them using cupolets. Cupolets, a name derived from chaotic, unstable, periodic, orbit-lets, are a relatively new class of waveforms that represent highly accurate approximations to the UPOs of chaotic systems, but which are generated via a particular control scheme that applies tiny perturbations along Poincaré sections. Originally discovered in an application of secure chaotic communications, cupolets have since gone on to play pivotal roles in a number of theoretical and practical applications. These developments include using cupolets as wavelets for image compression, targeting in dynamical systems, a chaotic analog to quantum entanglement, an abstract reducibility classification, a basis for audio and video compression, and, most recently, their detection in a chaotic neuron model. This review will detail the historical development of cupolets, how they are generated, and their successful integration into theoretical and computational science and will also identify some unanswered questions and future directions for this work. Full article

This case study examines overheard speech in a third-generation heritage Spanish Mexican family. It presents Spanish use longitudinally and describes overheard Spanish word use in interaction. Transcribed on CLAN to create a plurilingual corpus, ethnographic video data consisted of 24 h across three sampling periods, yielding nearly 30,000 Spanish, English, and language mixed utterances. Quantitative analyses indicate strong Spanish use in the first sample, before dropping. Qualitative descriptions show the third-generation target-child’s attunement to overheard Spanish, and her agency to use Spanish. Overheard input helps her use Spanish words, influencing her social encounters. This paper examines what we coded as overheard input in heritage language acquisition and socialization research. The language practices of one multigenerational Mexican family in California are explored, accounting for how their language practices in multiparty interaction co-create meaning, and how they help a third-generation child use Spanish words grounded in daily experiences. The findings contribute to the discussion of bilingualism in general and definitions of heritage bilingualism in particular. The results underscore the understudied role of overhead speech produced by a diversity of multigenerational family members and word learning. Participation frameworks are dynamically constructed by all participants as permeable, inclusive, and engage the children’s use of inherited bilingual and bicultural practices, suggesting that heritage bilingualism is not just about abstract grammar. Full article

Moving traces are essential data for target detection and associated behavior recognition. Previous studies have used time–location sequences, route maps, or tracking videos to establish mathematical recognition models for behavior recognition. The multimodal approach has seldom been considered because of the limited modality of sensing data. With the rapid development of natural language processing and computer vision, the multimodal model has become a possible choice to process multisource data. In this study, we have proposed a mathematical model for aircraft behavior recognition with joint data manners. The feature abstraction, cross-modal fusion, and classification layers are included in the proposed model for obtaining multiscale features and analyzing multimanner information. Attention has been placed on providing self- and cross-relation assessments on the spatiotemporal and geographic data related to a moving object. We have adopted both a feedforward network and a softmax function to form the classifier. Moreover, we have enabled a modality-increasing phase, combining longitude and latitude sequences with related geographic maps to avoid monotonous data. We have collected an aircraft trajectory dataset of longitude and latitude sequences for experimental validation. We have demonstrated the excellent behavior recognition performance of the proposed model joint with the modality-increasing phase. As a result, our proposed methodology reached the highest accuracy of 95.8% among all the adopted methods, demonstrating the effectiveness and feasibility of trajectory-based behavior recognition. Full article

Visual environmental simulations are fundamental in understanding the relationship between the built environment and psychological perception. The remarkable evolution of virtual immersion displays over recent years has provided a series of advantages to the architectural discipline, one of which is that non-specialists now have the potential to better understand architectural spaces. This work aimed to analyse the adequacy of the main displays and formats currently used in environmental simulations. As the objective was twofold, two experimental studies were carried out (with a sample of 100 participants). The studies evaluated users’ responses to different environmental representations of two environments, using differential semantic scales to measure key underlying factors (utility, credibility, realism, accuracy, abstraction). The first study examined simulation displays: a PC, an HTC Vive Pro 2 head-mounted display, a PowerWall Screen and a CAVE. In the second, formats were analysed: normal image, 360° image, video and 360° video. The results of this work revealed that users perceived the space differently depending on the representation displays and formats used. Such comparisons of these new means of representing architectural spaces can be helpful to researchers, architects and urban planning professionals and might provoke debate in, and be extrapolated into, the design field. Full article

This study assesses cognitive abilities through video games for entertainment (Blek, Edge, and Unpossible) that were programmed from scratch to record players’ behavior and the levels achieved in a sample without emotional problems and in one with emotional problems. The non-emotional-problem sample was recruited from three universities and two bachelor’s degree programs. The emotional-problem sample was recruited from two outpatient centers. The participants in the emotional-problem sample completed reduced versions of the ability tests and video games, as required by their emotional problems. Three subtests of the Differential Aptitude Test that assessed abstract reasoning, visuospatial reasoning, and perceptual speed were selected as ability tests. All participants were required to complete a mental health questionnaire (PROMIS) and a brief questionnaire on their gaming habits and previous experience with the video games used. The results that were obtained showed good convergent validity of the video games as measures of cognitive abilities, and they showed that the behavior of players in the sample without emotional problems while playing predicted the level achieved in the Blek and Unpossible game fragments, but this was only true for Unpossible in the emotional-problem sample; finally, shorter versions of the Blek and Edge game fragments can be used because they maintain their good psychometric properties. Full article

Objectives: The objective of this study was to determine the publication rate of abstracts presented at the Société Internationale d’Urologie (SIU) Congress and to analyse the characteristics associated with conversion to publication. Methods: All abstracts from the 36th Congress of the Société Internationale d’Urologie were identified from the published 2016 abstract book. A PubMed search was performed using key words and author names to identify published journal articles corresponding with the presented abstracts. Results: The conversion rate of presented abstracts to publication by April 2022 was 30.73% (224 of 729). Many abstracts were published prior to presentation (35.27%, 79 of 224). The average time to publication of abstracts published post presentation was 16.88 months. The majority of abstracts were presented in urology-specific journals (66.96%, 150 of 224). Publishing journals had an average impact factor of 3.068 with Urology (18 of 224) and World Journal of Urology (8 of 224) being the most common journals. Moderated ePosters had the highest conversion rate to publication (39.59%), whilst Unmoderated Videos had the lowest (11.32%). The abstract book assigned presentation topic groups to the moderated ePoster category; the most published abstract topic was sexual function (68.75%, 11 of 16). Conclusions: The conversion rate of abstracts presented at the SIU to publications in peer-reviewed journals has shown improvement since previous reports; however, it remains lower than the rates associated with other major urological conferences. Almost 70% of presented abstracts do not convert to publication and this should be considered when incorporating abstract findings into clinical practice. Full article

The utilization of Artificial Intelligence (AI) for assessing motor performance in Parkinson’s Disease (PD) offers substantial potential, particularly if the results can be integrated into clinical decision-making processes. However, the precise quantification of PD symptoms remains a persistent challenge. The current standard Unified Parkinson’s Disease Rating Scale (UPDRS) and its variations serve as the primary clinical tools for evaluating motor symptoms in PD, but are time-intensive and prone to inter-rater variability. Recent work has applied data-driven machine learning techniques to analyze videos of PD patients performing motor tasks, such as finger tapping, a UPDRS task to assess bradykinesia. However, these methods often use abstract features that are not closely related to clinical experience. In this paper, we introduce a customized machine learning approach for the automated scoring of UPDRS bradykinesia using single-view RGB videos of finger tapping, based on the extraction of detailed features that rigorously conform to the established UPDRS guidelines. We applied the method to 75 videos from 50 PD patients collected in both a laboratory and a realistic clinic environment. The classification performance agreed well with expert assessors, and the features selected by the Decision Tree aligned with clinical knowledge. Our proposed framework was designed to remain relevant amid ongoing patient recruitment and technological progress. The proposed approach incorporates features that closely resonate with clinical reasoning and shows promise for clinical implementation in the foreseeable future. Full article

The acute phase of COVID-19 often leaves patients with persistent pulmonary deficits. Pulmonary Rehabilitation (PR) has been recommended as an essential part of post-acute COVID-19 management. In light of the global pandemic, telerehabilitation has been increasingly employed to deliver PR. This systematic review aimed to evaluate the effectiveness of telemedicine-driven PR in patients recovering from the acute phase of COVID-19, assessing variations in telerehabilitation practices and identifying the degree of change in mental health, physical health, quality of life, and lung function. A systematic search was conducted across PubMed, Web of Science, Cochrane, and Scopus up until April 2023. Studies focusing on telerehabilitation in PR for post-acute COVID-19 patients with outcomes including pulmonary function, exercise capacity, and quality of life were included after careful assessment of this study’s protocol. The selection process involved careful scrutiny of abstracts and full texts, and the quality assessment was performed using the National Heart, Lung, and Blood Institute (NHLBI) tool. Seven studies, published between 2021 and 2022, involving a total of 412 patients, were included. The evaluated telerehabilitation programs stretched between 4 and 10 weeks, involving a mobile app or video connection with the patient, integrating a mix of aerobic and resistance training, breathing exercises, functional activities, and muscle strengthening. Findings revealed that telemedicine-driven PR significantly improved physical health, measured by the step test score (73 vs. 71), 6MWD (30.2 vs. 17.1) and BPAQ, mental health evaluated by SF-12 (6.15 vs. 4.17) and PHQ-4, quality of life measured by the SF-12 (7.81 vs. 3.84), SGRQ (31.5 vs. 16.9), and CAT scores, and some parameters of pulmonary function in post-acute COVID-19 patients (mMRC, STST, and MVV). This review substantiates the potential of telemedicine-driven PR to improve various health outcomes in post-acute COVID-19 patients. The findings underscore the importance of integrating telerehabilitation into the management of post-acute COVID-19 and call for further exploration of its long-term effects, cost-effectiveness, and best practices. Full article