49 research outputs found

    When do Bursts Matter in the Primary Motor Cortex? Investigating Changes in the Intermittencies of Beta Rhythms Associated With Movement States

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    Brain activity exhibits significant temporal structure that is not well captured in the power spectrum. Recently, attention has shifted to characterising the properties of intermittencies in rhythmic neural activity (i.e. bursts), yet the mechanisms regulating them are unknown. Here, we present evidence from electrocorticography recordings made from the motor cortex to show that the statistics of bursts, such as duration or amplitude, in beta frequency (14-30Hz) rhythms significantly aid the classification of motor states such as rest, movement preparation, execution, and imagery. These features reflect nonlinearities not detectable in the power spectrum, with states increasing in nonlinearity from movement execution to preparation to rest. Further, we show using a computational model of the cortical microcircuit, constrained to account for burst features, that modulations of laminar specific inhibitory interneurons are responsible for temporal organization of activity. Finally, we show that temporal characteristics of spontaneous activity can be used to infer the balance of cortical integration between incoming sensory information and endogenous activity. Critically, we contribute to the understanding of how transient brain rhythms may underwrite cortical processing, which in turn, could inform novel approaches for brain state classification, and modulation with novel brain-computer interfaces

    USING DEEP LEARNING TO GENERATE FRONT AND BACKYARDS IN LANDSCAPE ARCHITECTURE

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    The use of artificial intelligence (AI) engines in the design disciplines is a nascent field of research, which became very popular over the last decade. In particular, deep learning (DL) and related generative adversarial networks (GANs) proved to be very promising. While there are many research projects exploring AI in architecture and urban planning, e.g., in order to generate optimal floor layouts, massing models, evaluate image quality, etc., there are not many research projects in the area of landscape architecture - in particular the design of two-dimensional garden layouts. In this paper, we present our work using GANs to generate optimal front- and backyard layouts. We are exploring various GAN engines, e.g., DCGAN, that have been successfully used in other design disciplines. We used supervised and unsupervised learning utilizing a massive dataset of about 100,000 images of front- and backyard layouts, with qualitative and quantitative attributes, e.g., idea and beauty scores, as well as functional and structural evaluation scores. We present the results of our work, i.e., the generation of garden layouts, and their evaluation, and speculate on how this approach may help landscape architects in developing their designs. The outcome of the study may also be relevant to other design disciplines

    Color Regeneration from Reflective Color Sensor Using an Artificial Intelligent Technique

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    A low-cost optical sensor based on reflective color sensing is presented. Artificial neural network models are used to improve the color regeneration from the sensor signals. Analog voltages of the sensor are successfully converted to RGB colors. The artificial intelligent models presented in this work enable color regeneration from analog outputs of the color sensor. Besides, inverse modeling supported by an intelligent technique enables the sensor probe for use of a colorimetric sensor that relates color changes to analog voltages

    Prevalence, associated factors and outcomes of pressure injuries in adult intensive care unit patients: the DecubICUs study

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    Funder: European Society of Intensive Care Medicine; doi: http://dx.doi.org/10.13039/501100013347Funder: Flemish Society for Critical Care NursesAbstract: Purpose: Intensive care unit (ICU) patients are particularly susceptible to developing pressure injuries. Epidemiologic data is however unavailable. We aimed to provide an international picture of the extent of pressure injuries and factors associated with ICU-acquired pressure injuries in adult ICU patients. Methods: International 1-day point-prevalence study; follow-up for outcome assessment until hospital discharge (maximum 12 weeks). Factors associated with ICU-acquired pressure injury and hospital mortality were assessed by generalised linear mixed-effects regression analysis. Results: Data from 13,254 patients in 1117 ICUs (90 countries) revealed 6747 pressure injuries; 3997 (59.2%) were ICU-acquired. Overall prevalence was 26.6% (95% confidence interval [CI] 25.9–27.3). ICU-acquired prevalence was 16.2% (95% CI 15.6–16.8). Sacrum (37%) and heels (19.5%) were most affected. Factors independently associated with ICU-acquired pressure injuries were older age, male sex, being underweight, emergency surgery, higher Simplified Acute Physiology Score II, Braden score 3 days, comorbidities (chronic obstructive pulmonary disease, immunodeficiency), organ support (renal replacement, mechanical ventilation on ICU admission), and being in a low or lower-middle income-economy. Gradually increasing associations with mortality were identified for increasing severity of pressure injury: stage I (odds ratio [OR] 1.5; 95% CI 1.2–1.8), stage II (OR 1.6; 95% CI 1.4–1.9), and stage III or worse (OR 2.8; 95% CI 2.3–3.3). Conclusion: Pressure injuries are common in adult ICU patients. ICU-acquired pressure injuries are associated with mainly intrinsic factors and mortality. Optimal care standards, increased awareness, appropriate resource allocation, and further research into optimal prevention are pivotal to tackle this important patient safety threat

    The decay tau ->mu(nu)over-bar(i)nu(i) in the Randall-Sundrum background with localized U(1)(Y) gauge boson

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    We study the effects of localization of the U(1)(Y) gauge boson around the visible brane and the contributions of the Kaluza-Klein modes of Z bosons on the branching ratio of the lepton flavor violating tau ->mu(nu) over bar (i)nu(i) decay. We observe that the branching ratio is sensitive to the amount of localization of the Z boson in the bulk of the Randall - Sundrum background

    Body image and self-esteem in somatizing patients

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    WOS: 000268101000011PubMed ID: 19531108Aim: The aim of the present study was to determine dissatisfaction with body appearance and bodily functions and to assess self-esteem in somatizing patients. Methods: Body image and self-esteem were investigated in 128 women; 34 of those had diagnosed somatoform disorders, 50 were breast cancer patients with total mastectomy surgery alone, and 44 were healthy subjects. Body image and self-esteem were assessed using the Body Cathexis Scale and Rosenberg Self-Esteem Scale. Results: The two clinical groups did not differ from one another (z = -1.832, P = 0.067), but differed from healthy controls in terms of body image (somatizing patients vs healthy controls, z = -3.628, P < 0.001; total mastectomy patients vs healthy controls, z = -3.172, P = 0.002). They also did not differ significantly in terms of self-esteem (z = -0.936, P = 0.349) when depressive symptoms were controlled. No statistically significant difference was observed between total mastectomy patients and healthy controls in terms of self-esteem (z = -1.727, P = 0.084). The lower levels of self-esteem in somatizing patients were largely mediated by depressive symptoms. Depressed and non-depressed somatizing patients differed significantly from healthy controls with respect to their self-esteem and body image. Conclusions: Somatizing patients who were dissatisfied with their bodily functions and appearance had lower levels of self-esteem and high comorbidity of depression. In clinical practice it is suggested that clinicians should take into account psychiatric comorbidity, self-esteem, and body image in somatizing patients when planning treatment approaches
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