Search Results (23)

The year is 2030. The internet has evolved into the metaverse. People navigate through advanced avatars, shop in digital marketplaces, and connect with others through extended reality social media platforms. Three-dimensional patient scans, multidisciplinary tele-collaborations, digital twins and metaverse health records are part of clinical practices. Younger generations regularly immerse themselves in virtual worlds, playing games and attending social events in the metaverse. This sounds like a sci-fi movie, but as the world embraces immersive technologies post-COVID-19, this future is not too far off. This article aims to provide a foundational background to immersive technologies and their applications and discuss their potential for transforming healthcare and education. Moreover, this article will introduce the metaverse ecosystem and characteristics, and its potential for health prevention, treatment, education, and research. Finally, this article will explore the synergy between generative artificial intelligence and the metaverse. As younger generations of healthcare professionals embrace this digital frontier, the metaverse’s potential in healthcare is definitely attractive. Mainstream adoption may take time, but it is imperative that healthcare professionals be equipped with interdisciplinary skills to navigate the plethora of immersive technologies in the future of healthcare. Full article

This study, conducted at Complutense Intermedia-Lab, employs a dual approach to explore university students’ use of Generative AI (GenAI), combining a survey with foresight methodologies (Sci-fi prototyping). The initial survey gathers baseline data on students’ experiences, attitudes, and concerns regarding GenAI, providing a comprehensive understanding of current practices among university students in Spain. This empirical foundation informs subsequent Sci-fi prototyping sessions, where students creatively envision future scenarios, fostering futurist thinking and deeper engagement. By integrating principles of Responsible Research and Innovation (RRI), this approach facilitates a nuanced exploration of GenAI’s potential impacts on education. The incorporation of both quantitative data collection and qualitative foresight methods in this study serves to navigate challenges and level opportunities of promoting the ethical and inclusive incorporation of GenAI in Higher Education, ensuring that future innovations align with societal values and needs. Full article

Study Design: This is a retrospective case series study. Objective: The aim of this study was to investigate whether frailty contributes to functional recovery in individuals with spinal cord injury (SCI). Methods: A total of 121 patients with SCI (106 cervical SCI, 15 thoracic SCI) discharged from our center over the past three years were studied. Moreover, 11-factor modified frailty index (mFI) scores, the length of hospital stays, the rate of returning home, and improvement in Spinal Cord Independence Measure (SCIM) scores were assessed retrospectively. Results: The average age at the time of injury for all 121 cases was 59.6 years. Based on pre-injury assessments, 24 cases were categorized as the Frail group, and 97 cases were categorized as the Robust group. The Frail group had SCIM improvement rates of 16.7% and a home discharge rate of 45.8%. In contrast, the Robust group had SCIM improvement rates of 33.5% and a home discharge rate of 68.0%, with statistically significant differences between the two groups. A significant negative correlation was observed between mFI scores and SCIM improvement rates (R = −0.231, p = 0.014). Conclusions: This study suggests that individuals with pre-existing frailty before SCI experience poorer SCIM improvement rates and face challenges in returning home. Full article

R4Alz is utilized for the early detection of minor neurocognitive disorders. It was designed to assess three main dimensions of cognitive-control abilities: working-memory capacity, attentional control, and executive functioning. Objectives: To reveal the cognitive-control dimensions that can differentiate between adults and older adults with healthy cognition, people with subjective cognitive impairment, and people diagnosed with mild cognitive impairment by examining the factorial structure of the R4Alz tool. Methods: The study comprised 404 participants: (a) healthy adults (n = 192), (b) healthy older adults (n = 29), (c) people with SCI (n = 74), and (d) people diagnosed with MCI (n = 109). The R4Alz battery was administered to all participants, including tests that assess short-term memory storage, information processing, information updating in working memory, and selective, sustained and divided attention), task/rule-switching, inhibitory control, and cognitive flexibility. Results: A two-factorial structural model was confirmed for R4Alz, with the first factor representing “fluid intelligence (FI)” and the second factor reflecting “executive functions (EF)”. Both FI and EFs discriminate among all groups. Conclusions: The R4Alz battery presents sound construct validity, evaluating abilities in FI and EF. Both abilities can differentiate very early cognitive impairment (SCI) from healthy cognitive aging and MCI. Full article

This article proposes a new approach to the nature of a core set within fantasy fiction that regards it as a speculative literature of the exploration of subjectivity, one which at its limit conjectures fresh possibilities for the subjective world. To motivate acceptance of this proposed approach, I begin by surveying the existing state of debate in the critical field. I notice the emergence of widening agreement on the idea that fantasy is a literature of the impossible. I then develop the logical implications of this widening agreement in the critical field, arguing that it entails a representational definition of fantasy literature, which implies a modal approach to the core set that defines this literary order. I suggest that the marvellous mode, the kind of writing which represents the impossible, is a broad class that includes other speculative literatures, and that what differentiates these is the referential world within which the impossible happens. The aim here is to break up monolithic conceptions of the impossible, while pointing to a motivation for developing an understanding of the specificity of a core set of fantasy texts that proceeds by way of contrasts. After explaining why I am extremely skeptical about the definition of science fiction as a “literature of the possible”, I probe descriptions of the difference between fantasy and sci-fi. I propose that whereas some science fiction is a literature of conjectural objectivity, guided by the “cognitive novum”, a significant group of fantasy texts is a literature of speculative subjectivity, guided by an “affective novum”. Full article

The Star Trek franchise’s depiction of artificial intelligence (AI) and affiliated technologies—namely, supercomputers, androids, and holograms—evokes common themes and motifs from the myths of the ancient Mediterranean. This article analyzes the mythological underpinnings of Star Trek’s historical treatment and approach to AI, from The Original Series to The Next Generation and up through the newest additions to the canon, Short Treks, and Picard. AI in Star Trek, like Data, the Doctor, and Zora, expresses qualities associated with divinity: superhuman strength, intelligence, and agelessness. These very qualities distinguish them from humans and bar them from considerations of personhood. Like the Greek gods of myth, AI can present as immortal, which fundamentally distinguishes it from mortal humans, as seen in the tensions between gods and humans in Homer’s Odyssey and the Homeric Hymns. The ancient tension between mortal and immortal is manifested in the combative relationship between organic creator and artificial creation, a common sci-fi trope, that can lead to a cycle of fear and hostility evocative of the divine generational warfare in Hesiod’s Theogony. The artificial–organic tension resonates with the contemporary audience’s conflicted experiences with evolving technologies and problematizes the show’s presentation of the evolution of humanity into a posthuman existence. Just as mythology is used to consider humanity relative to the divine, narratives about AI are fertile ground to analyze what it means to be human and establish parameters for what is decidedly not human. Full article

Graph distance measures have emerged as an effective tool for evaluating the similarity or dissimilarity between graphs. Recently, there has been a growing trend in the application of movie networks to analyze and understand movie stories. Previous studies focused on computing the distance between individual characters in narratives and identifying the most important ones. Unlike previous techniques, which often relied on representing movie stories through single-layer networks based on characters or keywords, a new multilayer network model was developed to allow a more comprehensive representation of movie stories, including character, keyword, and location aspects. To assess the similarities among movie stories, we propose a methodology that utilizes a multilayer network model and layer-to-layer distance measures. We aim to quantify the similarity between movie networks by verifying two aspects: (i) regarding many components of the movie story and (ii) quantifying the distance between their corresponding movie networks. We tend to explore how five graph distance measures reveal the similarity between movie stories in two aspects: (i) finding the order of similarity among movies within the same genre, and (ii) classifying movie stories based on genre. We select movies from various genres: sci-fi, horror, romance, and comedy. We extract movie stories from movie scripts regarding character, keyword, and location entities to perform this. Then, we compute the distance between movie networks using different methods, such as the network portrait divergence, the network Laplacian spectra descriptor (NetLSD), the network embedding as matrix factorization (NetMF), the Laplacian spectra, and D-measure. The study shows the effectiveness of different methods for identifying similarities among various genres and classifying movies across different genres. The results suggest that the efficiency of an approach on a specific network type depends on its capacity to capture the inherent network structure of that type. We propose incorporating the approach into movie recommendation systems. Full article

Neurogenic bowel dysfunction (NBD) is a common condition in individuals with spinal cord injury (SCI) or multiple sclerosis (MS). It usually entails constipation, difficult evacuation of the rectum, and fecal incontinence (FI); often in combination. It is highly burdensome for affected patients and is correlated with poor quality of life. The current treatment algorithm, or treatment pyramid, does not completely correspond to actual clinical practice, and the known and classical pyramid contains both treatments still in their experimental stage as well as several treatments which are not available at all treatment centers. Thus, an updated treatment algorithm is called upon, and the authors of this paper therefore propose a simplified version of the treatment pyramid, aiming to guide clinicians in treating NBD. Full article

The films teenagers watch have a significant influence on their behavior. After witnessing a film starring an actor with a particular social habit or personality trait, viewers, particularly youngsters, may attempt to adopt the actor’s behavior. This study proposes an algorithm-based technique for predicting the market potential of upcoming science fiction films. Numerous science fiction films are released annually, and working in the film industry is both profitable and delightful. Before the film’s release, it is necessary to conduct research and make informed predictions about its success. In this investigation, different machine learning methods written in MATLAB are examined to identify and forecast the future performance of movies. Using 14 methods for machine learning, it was feasible to predict how individuals would vote on science fiction films. Due to their superior performance, the fine, medium, and weighted KNN algorithms were given more consideration. In comparison to earlier studies, the KNN-adopted methods displayed greater precision (0.89–0.93), recall (0.88–0.92), and accuracy (90.1–93.0%), as well as a rapid execution rate, more robust estimations, and a shorter execution time. These tabulated statistics illustrate that the weighted KNN method is effective and trustworthy. If several KNN algorithms targeting specific viewer behavior are logically coupled, the film business and its global expansion can benefit from precise and consistent forecast outcomes. This study illustrates how prospective data analytics could improve the film industry. It is possible to develop a model that predicts a film’s success, effect, and social behavior by assessing features that contribute to its success based on historical data. Full article

This essay examines how Black girl narratives are finding and making space and place in the arena of comic books and television. With the rise in Black girl (super)hero protagonists on the comic book pages and adapted television shows, it is essential to explore the significance of their rising inclusion, visibility, and popularity and understand how they contribute to the discourse surrounding the next generation of heroes. Guided by an Afrofuturist, Black feminist, and intersectional framework, I discuss the progressive possibilities of popular media culture in depicting Black girlhood and adolescence. In Marvel Comics’ “RiRi Williams/Ironheart”, DC Comics’ “Naomi McDuffie”, and Boom! Studios’ “Eve”, these possibilities are evident. Blending aspects of adventure, fantasy, sci-fi, and STEM, each character offers fictional insight into the lived experiences of Black girl youth from historical, aesthetic, and expressive perspectives. Moreover, as talented and adventurous characters, their storylines, whether on the comic book pages or the television screen, reveal a necessary change to the landscape of popular media culture. Full article

The meat industry has a substantial negative impact on the environment. As a result, this industry is in a period of change to alternative meat to mitigate the environmental issues caused by conventional meat production. Cultivated meat is highlighted as an alternative to conventional meat-based diets. SCiFi Foods has developed such a novel cultivated meat burger as a potential successor to the currently available burgers. Based on the process information provided by SCiFi Foods, this work performed a life cycle analysis on the novel cultivated meat burger and compared it with alternatives. The life cycle impacts of the novel burger were evaluated using four indicators: greenhouse gas emissions (CML-IA); energy use (cumulative energy demand); land use (ReCiPe midpoint); and water use (ReCiPe midpoint). The study found that the cultivated meat burger generated 87% less greenhouse gas emissions, required 39% less energy, had 90% less influence on land use, and 96% less water use than the comparable beef patty. The effects of uncertainty in the data, sensitivity to major assumptions, and the effect of the manufacturing plant location were analyzed. The studied burger was also found to have a life cycle environmental impact that is comparable with plant-based commercialized burgers that are currently available. Full article

Smoking is more common among individuals with mental health issues than those who do not have mental illnesses. In particular, among individuals with an anxiety disorder, a high prevalence of smoking has been found. Mood adjustment theory suggests that individuals with negative moods could adjust their moods depending on the type of television they watched. To understand this relationship better, we aim to examine how different television viewing can moderate the tendency of smoking behavior for individuals with an anxiety disorder. We used national U.S. survey data and concepts from the mood adjustment theory to answer our research questions. Our main contributions were to: (1) extend the mood adjustment theory by focusing on the association between a diagnosed mental disorder (i.e., anxiety) and risky behavior (i.e., smoking), and (2) examine the nuances of television genres by dividing entertainment television into excitement-valenced and ambiguously-valenced entertainment programs, along with information programs. The primary findings show that individuals with an anxiety disorder were more likely to smoke and this association was significantly attenuated when they watched cartoons, sports, and health information programs, but the positive association between an anxiety disorder and the extent of smoking was intensified when they watched drama, music, sci-fi, and television news. Patients with an anxiety disorder may take advantage of excitement-valenced entertainment programs and health-related information but need to be cautious in choosing ambiguously-valenced entertainment programs and news. Full article

Recent years have seen unprecedentedly fast-growing prosperity in the commercial space industry. Several privately funded aerospace manufacturers, such as Space Exploration Technologies Corporation (SpaceX) and Blue Origin have transformed what we used to know about this capital-intense industry and gradually reshaped the future of human civilization. As private spaceflight and multi-planetary immigration gradually become realities from science fiction (sci-fi) and theory, both opportunities and challenges will be presented. In this article, we first review the progress in space exploration and the underlying space technologies. Next, we revisit the K-Pg extinction event and the Chelyabinsk event and predict extra-terrestrialization, terraformation, and planetary defense, including the emerging near-Earth object (NEO) observation and NEO impact avoidance technologies and strategies. Furthermore, a framework for the Solar Communication and Defense Networks (SCADN) with advanced algorithms and high efficacy is proposed to enable an Internet of distributed deep-space sensing, communications, and defense to cope with disastrous incidents such as asteroid/comet impacts. Furthermore, perspectives on the legislation, management, and supervision of founding the proposed SCADN are also discussed in depth. Full article

The future is not what it used to be. A new strain of futurism has taken over the stage of global science-fiction: one whose understanding of the future cannot be distinguished from its understanding of the present. Gone are the days when extraterrestrials in shiny, extravagant outfits mastered fascinating technologies that flirted with magic. Characters in Charlie Brooker’s Black Mirror (2015–2020) dress like us, and the dystopian technology they put up with is, for the most part, a technology that has existed for years. Armando Iannucci’s imagining of a space cruise for rich people in Avenue 5 (2020) overlaps with Elon Musk’s actual plans of sending wealthy tourists to the moon, while Albert Robida’s visionary téléphonoscope (1879) amounts to a sad reminder of our everyday Zoom call. Is not the current COVID-19 crisis the blueprint to the ultimate post-apocalyptic script? Spanish filmmaker Juan Antonio Bayona noted in a recent interview that Steve Soderbergh’s Contagion (2011), originally labeled as a sci-fi movie by IMDB, is now a drama according to the same internet portal. Science is not fiction anymore, which means at least two different things: that science has lost the power to convey the kind of awe that may be later turned into fiction, and that fiction seems to be unable to inspire a narrative of scientific or—broadly speaking—human progress. How can we retrieve the emancipatory value of progress in good old futuristic sci-fi when the future coincides with the present? What should cultural production look like to help us imagine an alternative to financial capitalism in the face of the impossibility of utopia? The answer, I will claim, resides in Franco Berardi’s concept of “futurability”. This paper explores the limits of this concept by reading side by side Javier Olivares’ and Pablo Olivares’ The Ministry of Time (2015) and Oriol Paulo’s Mirage (2018). Full article

Background: in Paralympic Powerlifting (PP), athletes with a spinal cord injury (SCI) and other disabilities (OD) compete together. However, athletes with SCI are at a disadvantage in terms of force production and transfer. Objective: to analyze the strength and the dynamic and static indicators, at different intensities, tied and untied in athletes with SCI and OD. Methods: the sample presented 10 OD (28.30 ± 4.92 years) and 10 SCI (30.00 ± 4.27 years), classified competitors, and eligible to compete in the sport (all males). Maximum isometric force (MIF); time to MIF (Time); rate of force development (RFD); impulse, variability, and fatigue index (FI); and the dynamic tests of Mean Propulsive Velocity (MPV), Velocity Maximum (Vmax), and Power with loads of 40, 60, and 80% of 1 Repetition Maximum (1 RM), respectively. Results: there were no differences between OD and SCI in dynamic and isometric strength indicators. In MPV, there was an 80% difference between tethered and untethered SCI (p = 0.041). In VMax, there were differences in SCI between tethered and untethered, 40% (p = 0.004) and 80% (p = 0.023), respectively. There were no differences in the other intensities. Conclusion: PP training seems to be a sustainable way to promote strength gains in SCI, since there were no differences between athletes with SCI and OD, as practitioners of Paralympic Powerlifting. Full article