Presence in Visual Mental Imagery

‘Presence’, the sense of being inside a virtual environment evoked with the help of computer mediation, has come to be a subject well explored in the field of virtual reality. Studies on mental imagery confirm that we can intuitively evoke objects and spaces in our minds and interact with them temporally. We believe that a sense of presence could be experienced in such self-evoked reality as well. This paper explores the experience of presence in visual mental imagery. We studied verbal expressions, physical movements and gestures, exhibited during mental imagery experiences in two scenarios - a guiding task and a mental walk exercise. A ‘protocol analysis’ was performed followed by analysis of time taken and mapping of physical movements. The results evidently point to this spatio-temporal phenomenon of experiencing presence. Furthermore, we present a comparative review on the sense of presence experienced during mental imagery and virtual reality.IIT-ParisTech mobility programm

Temporal evolution of sand corridors in a <i>Posidonia oceanica</i> seascape: a 15-year study

The spatial dynamic of Posidonia oceanica meadows is a process extending over centuries. This paper shows evidence of the natural dynamics of P. oceanica “shifting intermattes” or “sand corridors” (hereafter SCs): unvegetated patches within a dense meadow. We studied features and temporal evolution (2001-2015) of 5 SCs in the Calvi Bay (Corsica) at 15 m depth and followed the characteristics the P. oceanica meadow lining the edge of patches. All SCs show a similar topography. The eroded side is a vertical edge where roots, rhizomes and sediments are visible, when on the opposite colonized side, the sand is at the same level as the continuous meadow. The vertical edge reaches a maximum height of 160 cm and is eroded by orbital bottom currents with a maximum speed of 12 cm.s-1, the erosion speed ranging from 0.6 to 15 cm.y-1. SCs progress toward the coastline with a mean speed of 10 cm.y-1, the rate of colonization by P. oceanica shoots ranging from 1.5 to 21 cm.y-1. We calculated that the studied SCs would reach the coastline within 500 to 600 years. We finally discuss the implication of such dynamic in the framework of meadows’ colonization assessment and the seascape dynamic

WHO guide to good prescribing is 25 years old:quo vadis?

Introduction: Twenty-five years ago, the World Health Organization (WHO) published the Guide to Good Prescribing (GGP), followed by the accompanying Teacher’s Guide to Good Prescribing (TGGP). The GGP is based on a normative 6-step model for therapeutic reasoning and prescribing, and provides a six-step guide for students to the process of rational prescribing. Method: We reviewed the need to update both WHO publications by evaluating their use and impact, including new (theoretical) insights and demands. Based on information from literature, Internet, and other (personal) sources, we draw the following conclusions. Results: 1. An update of the GGP and TGGP, both in terms of content and form, is necessary because of the current need for these tools (irrational medicine use and unavailability of medicines), the lack of similar documents, and the lack of connection with recent developments, such as Internet and modern education; 2. The basic (6-step) model of the GGP is effective in terms of rational prescribing in the undergraduate situation and is still consistent with current theories about (context) learning, clinical decision-making, and clinical practice; 3. The dissemination and introduction of the GGP and TGGP in education has been successful so far, but is still not optimal because of lack of support and cooperation. Conclusions: On the basis of the evaluation results, a plan for the revision of the GGP and TGGP is presented

Réalité évoquée, des rêves aux simulations (un cadre conceptuel de la réalité au regard de la présence)

Dans cette recherche, nous présentons le concept de Réalité Évoquée ( Evoked Reality ) afin d'essayer de relier différentes notions entourant la présence et la réalité au sein d'un cadre commun. Nous introduisons et illustrons le concept en tant que illusion de la réalité (Réalité Évoquée) qui évoque un sentiment de présence (Présence Évoquée) dans nos esprits. Nous distinguons les concepts de Réalité Média-Évoquée et Réalité Auto-Évoquée et nous les définissons clairement. Le concept de Réalité Évoquée nous permet d'introduire un modèle tripolaire de la réalité, qui remet en cause le modèle classique des deux pôles. Nous présentons également un modèle graphique appelé Reality-Presence Map (Carte Réalité-Présence) qui nous permet de localiser et d'analyser toutes les expériences cognitives concernant la présence et la réalité. Nous explorons également les qualia et la subjectivité de nos expériences de Réalité Évoquée. Deux expériences ont été réalisées : l'une dans le domaine de la Réalité Média-Évoquée et l'autre dans celui de l'Auto-Évoquée. Les expériences nous ont permis de valider nos hypothèses et de réaliser que nos recherches empiriques pouvaient encore être poussées plus loin encore. Enfin, nous illustrons les différentes implications et nous examinons les applications et les utilisations possibles de notre concept, en particulier dans le domaine de la recherche sur la présence. En outre, nous proposons d'étendre la recherche sur la présence au-delà du domaine de la réalité virtuelle et des moyens de communication et de l'étudier dans une perspective plus large que celle des sciences cognitives. Nous sommes convaincus que ce concept de Réalité Évoquée et le modèle proposé peuvent avoir des applications significatives dans l'étude de la présence et dans l'exploration des possibilités qui dépassent la réalité virtuelle.In this research, we introduce the concept of "Evoked Reality" in an attempt to bring together various ideas on presence and reality onto a common platform. The concept we propose and illustrate is in fact an 'illusion of reality' (Evoked Realty) that simply evokes a 'sense of presence' (Evoked Presence) in our minds. We clearly define and differentiate between a Media-Evoked and a Self-Evoked Reality. That helped us introduce the Three Pole Reality Model that redefines the classical Two Pole Reality Model. We also present a graphical model called Reality-Presence Map, which would help us locate and analyse every possible cognitive experience relating to presence and reality. We also explore the qualia and subjectivity of our experiences of Evoked Reality. Two experiments were conducted, one in the area of Media-Evoked Reality and one in Self-Evoked Reality. The experiments in fact lead to fruitful conclusions regarding our hypotheses and help us understand what could be further empirically studied. Ultimately, we illustrate different implications and shed light on prospective applications and uses of our concept, especially in the area of research on presence. In addition, we strongly suggest that we must open up presence research beyond the domain of virtual reality and communication media, and examine it from a broader perspective of cognitive science. We strongly believe that this concept of Evoked Reality and the proposed model may have significant applications in the study of presence, and in exploring the possibilities beyond virtual reality.PARIS-Arts et Métiers (751132303) / SudocSudocFranceF

Aesthetiography : The next Milestone in the Confluence of Media

Art and technology always evolved simultaneously, often inspiring and complimenting each other. This can be observed at every point in the history of media technologies. We suggest that the evolution of media has always been looking forward to an ultimate form of representation of reality that one could experience - a perfect Simulated Reality. Over the years the forms of media have been evolving and improving in order to create stronger perceptual as well as psychological illusions. Today virtual reality and associated technologies help evoke illusion of reality strong enough to make one believe to be entirely immersed and present in an artificial world. Observing these developments, we believe that the distinct goal of tomorrow’s media would be to create a perfect experience of perceptual illusion with the help of multisensory mediation. In this pursuit of an ultimate representational media, different media technologies will converge. This meeting point of cinema, virtual reality and associated new-media technologies in the near future, is what we would like to refer to as ‘Aesthetiography’ - the art and science of capturing (or creating) and reproducing an absolute perceptual experience. We propose that it would be the next milestone in the confluence of media

How is VR used to support training in industry? The INTUITION network of excellence working group on education and training

INTUITION is the European Network of Excellence on virtual reality and virtual environments applications for future workspaces. The purpose of the network is to gather expertise from partner members and determine the future research agenda for the development and use of virtual reality (VR) technologies. The working group on Education and Training (WG2.9) is specifically focused on understanding how VR is being used to support learning in educational and industrial contexts. This paper presents four case examples of VR technology currently in use or development for training in industry. Conclusions are drawn concerning future development of VR training applications and barriers that need to be overcome

Establishing research strategies, methodologies and technologies to link genomics and proteomics to seagrass productivity, community metabolism, and ecosystem carbon fluxes

A complete understanding of the mechanistic basis of marine ecosystem functioning is only possible through integrative and interdisciplinary research. This enables the prediction of change and possibly the mitigation of the consequences of anthropogenic impacts. One major aim of the European Cooperation in Science and Technology (COST) Action ES0609 “Seagrasses productivity. From genes to ecosystem management,” is the calibration and synthesis of various methods and the development of innovative techniques and protocols for studying seagrass ecosystems. During 10 days, 20 researchers representing a range of disciplines (molecular biology, physiology, botany, ecology, oceanography, and underwater acoustics) gathered at The Station de Recherches Sous-marines et Océanographiques (STARESO, Corsica) to study together the nearby Posidonia oceanica meadow. STARESO is located in an oligotrophic area classified as “pristine site” where environmental disturbances caused by anthropogenic pressure are exceptionally low. The healthy P. oceanica meadow, which grows in front of the research station, colonizes the sea bottom from the surface to 37 m depth. During the study, genomic and proteomic approaches were integrated with ecophysiological and physical approaches with the aim of understanding changes in seagrass productivity and metabolism at different depths and along daily cycles. In this paper we report details on the approaches utilized and we forecast the potential of the data that will come from this synergistic approach not only for P. oceanica but for seagrasses in general

Risk factors of postoperative intensive care unit admission during the COVID-19 pandemic: A multicentre retrospective cohort study

BACKGROUND: During the Coronavirus disease 2019 (COVID-19) pandemic, intensive care unit (ICU) capacity was scarce. Since surgical patients also require ICU admission, determining which factors lead to an increased risk of postoperative ICU admission is essential. This study aims to determine which factors led to an increased risk of unplanned postoperative ICU admission during the COVID-19 pandemic. METHODS: This multicentre retrospective cohort study investigated all patients who underwent surgery between 9 March 2020 and 30 June 2020. The primary endpoint was the number of surgical patients requiring postoperative ICU admission. The secondary endpoint was to determine factors leading to an increased risk of unplanned postoperative ICU admission, calculated by multivariate analysis with odds ratios (OR's) and 95% confidence (CI) intervals. RESULTS: One hundred eighty-five (4.6%) of the 4051 included patients required unplanned postoperative ICU admission. COVID-19 positive patients were at an increased risk of being admitted to the ICU compared to COVID-19 negative (OR 3.14; 95% CI 1.06-9.33; p = 0.040) and untested patients (OR 0.48; 95% CI 0.32-0.70; p = 0.001). Other predictors were male gender (OR 1.36; 95% CI 1.02-1.82; p = 0.046), body mass index (BMI) (OR 1.05; 95% CI 1.02-1.08; p = 0.001), surgical urgency and surgical discipline. CONCLUSION: A confirmed COVID-19 infection, male gender, elevated BMI, surgical urgency, and surgical discipline were independent factors for an increased risk of unplanned postoperative ICU admission. In the event of similar pandemics, postponing surgery in patients with an increased risk of postoperative ICU admission may be considered

The augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery

BACKGROUND: In patients who underwent colorectal surgery, an existing semi-automated surveillance algorithm based on structured data achieves high sensitivity in detecting deep surgical site infections (SSI), however, generates a significant number of false positives. The inclusion of unstructured, clinical narratives to the algorithm may decrease the number of patients requiring manual chart review. The aim of this study was to investigate the performance of this semi-automated surveillance algorithm augmented with a natural language processing (NLP) component to improve positive predictive value (PPV) and thus workload reduction (WR). METHODS: Retrospective, observational cohort study in patients who underwent colorectal surgery from January 1, 2015, through September 30, 2020. NLP was used to detect keyword counts in clinical notes. Several NLP-algorithms were developed with different count input types and classifiers, and added as component to the original semi-automated algorithm. Traditional manual surveillance was compared with the NLP-augmented surveillance algorithms and sensitivity, specificity, PPV and WR were calculated. RESULTS: From the NLP-augmented models, the decision tree models with discretized counts or binary counts had the best performance (sensitivity 95.1% (95%CI 83.5-99.4%), WR 60.9%) and improved PPV and WR by only 2.6% and 3.6%, respectively, compared to the original algorithm. CONCLUSIONS: The addition of an NLP component to the existing algorithm had modest effect on WR (decrease of 1.4-12.5%), at the cost of sensitivity. For future implementation it will be a trade-off between optimal case-finding techniques versus practical considerations such as acceptability and availability of resources