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  • Forte, Castela, et al. (author)
  • Deep Learning for Identification of Acute Illness and Facial Cues of Illness
  • 2021
  • In: Frontiers in Medicine. - : Frontiers Media SA. - 2296-858X. ; 8
  • Journal article (peer-reviewed)abstract
    • Background: The inclusion of facial and bodily cues (clinical gestalt) in machine learning (ML) models improves the assessment of patients' health status, as shown in genetic syndromes and acute coronary syndrome. It is unknown if the inclusion of clinical gestalt improves ML-based classification of acutely ill patients. As in previous research in ML analysis of medical images, simulated or augmented data may be used to assess the usability of clinical gestalt.Objective: To assess whether a deep learning algorithm trained on a dataset of simulated and augmented facial photographs reflecting acutely ill patients can distinguish between healthy and LPS-infused, acutely ill individuals.Methods: Photographs from twenty-six volunteers whose facial features were manipulated to resemble a state of acute illness were used to extract features of illness and generate a synthetic dataset of acutely ill photographs, using a neural transfer convolutional neural network (NT-CNN) for data augmentation. Then, four distinct CNNs were trained on different parts of the facial photographs and concatenated into one final, stacked CNN which classified individuals as healthy or acutely ill. Finally, the stacked CNN was validated in an external dataset of volunteers injected with lipopolysaccharide (LPS).Results: In the external validation set, the four individual feature models distinguished acutely ill patients with sensitivities ranging from 10.5% (95% CI, 1.3-33.1% for the skin model) to 89.4% (66.9-98.7%, for the nose model). Specificity ranged from 42.1% (20.3-66.5%) for the nose model and 94.7% (73.9-99.9%) for skin. The stacked model combining all four facial features achieved an area under the receiver characteristic operating curve (AUROC) of 0.67 (0.62-0.71) and distinguished acutely ill patients with a sensitivity of 100% (82.35-100.00%) and specificity of 42.11% (20.25-66.50%).Conclusion: A deep learning algorithm trained on a synthetic, augmented dataset of facial photographs distinguished between healthy and simulated acutely ill individuals, demonstrating that synthetically generated data can be used to develop algorithms for health conditions in which large datasets are difficult to obtain. These results support the potential of facial feature analysis algorithms to support the diagnosis of acute illness.
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  • Richardson, V., et al. (author)
  • The reactivity of methanimine radical cation (H2CNH.+) and its isomer aminomethylene (HCNH2.+) with methane
  • 2021
  • In: Chemical Physics Letters. - : Elsevier BV. - 0009-2614 .- 1873-4448. ; 775
  • Journal article (peer-reviewed)abstract
    • Experimental and theoretical studies are presented on the reactions of the isomeric radical cations H2CNH+ and HCNH2+ with CH4. Ionic isomers were generated selectively by VUV dissociative photoionization of azetidine and cyclopropylamine precursors respectively. Both exclusively give H2CNH2+ plus CH3 as products, but differences are observed related to a competition between stripping and complex-mediated H-transfer. Astrochemical implications for Titan’s atmosphere are briefly discussed, where the presence of methanimine (H2CNH), a key prebiotic molecule and a potential precursor for tholins, is proposed on the basis of atmospheric models and the observation of CH2NH2+ ions in Cassini mass spectrometric data.
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  • Sundelin, David, et al. (author)
  • The reactivity of methanimine radical cation (H2CNH•+) and its isomer aminomethylene (HCNH2•+) with C2H4
  • 2021
  • In: Chemical Physics Letters. - : Elsevier BV. - 0009-2614 .- 1873-4448. ; 777
  • Journal article (peer-reviewed)abstract
    • Experimental and theoretical studies are presented on the reactivity of H2CNH'+ (methanimine) and HCNH2'+ (aminomethylene) with ethene (C2H4). Selective isomer generation is performed via dissociative photoionization of suitable neutral precursors and reactive cross sections and branching ratios are measured as a function of photon and collision energies. Differences between isomers' reactivity are discussed in light of ab-initio calculations on reaction mechanisms. The main products, for both isomers, are H-elimination, most likely occurring from covalently bound adducts (giving c-CH2CH2CHNH+/CH2NHCHCH2+) and H' atom transfer to yield H2CNH2+. The astrochemical implications of the results are briefly addressed.
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  • Van Dijk, H. A. J., et al. (author)
  • Cost Effective CO2 Reduction in the Iron & Steel Industry by Means of the SEWGS Technology : STEPWISE Project
  • 2017
  • In: Energy Procedia. - : Elsevier BV. - 1876-6102. ; , s. 6256-6265
  • Conference paper (peer-reviewed)abstract
    • In the STEPWISE project, the Sorption Enhanced Water-Gas Shift (SEWGS) technology for CO2 capture is brought to TRL6 by means of design, construction, operation and modelling a pilot installation in the Iron and Steel industry using Blast Furnace Gas (BFG). This advanced CO2 removal technology makes use of regenerative solid adsorbents. The STEPWISE project represents the essential demonstration step within the research, development and demonstration trajectory of the SEWGS technology. This project will further reduce the risks associated with scaling up the process.
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  • Balter, Leonie J. T., et al. (author)
  • Intelligence predicts better cognitive performance after normal sleep but larger vulnerability to sleep deprivation
  • 2023
  • In: Journal of Sleep Research. - : John Wiley & Sons. - 0962-1105 .- 1365-2869. ; 32:4
  • Journal article (peer-reviewed)abstract
    • Fluid intelligence is seen as a beneficial attribute, protecting against stress and ill-health. Whether intelligence provides resilience to the cognitive effects of insufficient sleep was tested in the current pre-registered experimental study. Participants (N = 182) completed the Raven's test (measuring fluid intelligence) and a normal night of sleep or a night of total sleep deprivation. Sleepiness and four cognitive tests were completed at 22:30 hours (baseline), and the following day after sleep manipulation. At baseline, higher fluid intelligence was associated with faster and more accurate arithmetic calculations, and better episodic memory, but not with spatial working memory, simple attention or sleepiness. Those with higher fluid intelligence were more, not less, impacted by sleep deprivation, evident for arithmetic ability, episodic memory and spatial working memory. We need to establish a more nuanced picture of the benefits of intelligence, where intelligence is not related to cognitive advantages in all situations.
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  • Emilsson, K, et al. (author)
  • Vascular effects of proteinase-activated receptor 2 agonist peptide
  • 1997
  • In: Journal of Vascular Research. - 1423-0135. ; 34:4, s. 267-272
  • Journal article (peer-reviewed)abstract
    • Proteinase-activated receptor 2 (PAR-2) is a G protein-coupled receptor related to the thrombin receptor. PAR-2 can be activated by trypsin and by synthetic peptides corresponding to the new amino terminus generated by activating proteolytic cleavage. We show in this report that intravenous injection of PAR-2 agonist peptides has dramatic effects on arterial blood pressure in anesthetized rats. The peptide SLIGRLETQPPI, at 150 nmol/kg, transiently decreased the mean arterial pressure from 104 to 60 mm Hg. The hypotensive response was dose-dependent, and was not secondary to effects on central vasoregulatory systems, heart rate, or the kidneys. A nitric oxide synthase inhibitor attenuated the hypotensive response induced by the PAR-2 agonist peptide. Further experiments in vitro, on preparations of rat femoral artery and vein, showed that PAR-2 agonist peptide elicited a dose-dependent relaxation of both types of vessel. Removal of the endothelium abolished the agonist peptide-induced relaxation. Our results demonstrate that activation of PAR-2 can modulate vascular tone, and that this response was an effect mediated at least partly by nitric oxide. The effect on blood vessels further suggests that the physiological activator of this proteolytically activated receptor is an enzyme present and active in the blood, possibly after a vascular injury.
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  • Hirai, T., et al. (author)
  • Characterization and heat flux testing of beryllium coatings on Inconel for JET ITER-like wall project
  • 2007
  • In: Physica Scripta. - 0031-8949 .- 1402-4896. ; T128, s. 166-170
  • Journal article (peer-reviewed)abstract
    • In order to perform a fully integrated material test, JET has launched the ITER-like wall project with the aim of installing a full metal wall during the next major shutdown. The material foreseen for the main chamber wall is bulk Be at the limiters and Be coatings on inconel tiles elsewhere. R&D process comprises global characterization ( structure, purity etc) of the evaporated films and testing of their performance under heat loads. The major results are (i) the layers have survived energy loads of 20 MJ m(-2) which is significantly above the required level of 5 - 10 MJ m(-2), (ii) melting limit of beryllium coating would be at the energy level of 30 MJ m(-2), (iii) cyclic thermal load of 10 MJ m(-2) for up to 50 cycles have not induced any noticeable damage such as flaking or detachment.
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  • Holding, Benjamin C., et al. (author)
  • Multimodal Emotion Recognition Is Resilient to Insufficient Sleep : Results From Cross-Sectional and Experimental Studies
  • 2017
  • In: Sleep. - : Oxford University Press (OUP). - 0161-8105 .- 1550-9109. ; 40:11
  • Journal article (peer-reviewed)abstract
    • Objectives: Insufficient sleep has been associated with impaired recognition of facial emotions. However, previous studies have found inconsistent results, potentially stemming from the type of static picture task used. We therefore examined whether insufficient sleep was associated with decreased emotion recognition ability in two separate studies using a dynamic multimodal task.Methods: Study 1 used a cross-sectional design consisting of 291 participants with questionnaire measures assessing sleep duration and self-reported sleep quality for the previous night. Study 2 used an experimental design involving 181 participants where individuals were quasi-randomized into either a sleep-deprivation (N = 90) or a sleep-control (N = 91) condition. All participants from both studies were tested on the same forced-choice multimodal test of emotion recognition to assess the accuracy of emotion categorization.Results: Sleep duration, self-reported sleep quality (study 1), and sleep deprivation (study 2) did not predict overall emotion recognition accuracy or speed. Similarly, the responses to each of the twelve emotions tested showed no evidence of impaired recognition ability, apart from one positive association suggesting that greater self-reported sleep quality could predict more accurate recognition of disgust (study 1).Conclusions: The studies presented here involve considerably larger samples than previous studies and the results support the null hypotheses. Therefore, we suggest that the ability to accurately categorize the emotions of others is not associated with short-term sleep duration or sleep quality and is resilient to acute periods of insufficient sleep.
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  • Holding, Benjamin C., et al. (author)
  • Quantifying Cognitive Impairment After Sleep Deprivation at Different Times of Day : A Proof of Concept Using Ultra-Short Smartphone-Based Tests
  • 2021
  • In: Frontiers in Behavioral Neuroscience. - : Frontiers Media SA. - 1662-5153. ; 15
  • Journal article (peer-reviewed)abstract
    • Cognitive functioning is known to be impaired following sleep deprivation and to fluctuate depending on the time of day. However, most methods of assessing cognitive performance remain impractical for environments outside of the lab. This study investigated whether 2-min smartphone-based versions of commonly used cognitive tests could be used to assess the effects of sleep deprivation and time of day on diverse cognitive functions. After three nights of normal sleep, participants (N = 182) were randomised to either one night of sleep deprivation or a fourth night of normal sleep. Using the Karolinska WakeApp (KWA), participants completed a battery of 2-min cognitive tests, including measures of attention, arithmetic ability, episodic memory, working memory, and a Stroop test for cognitive conflict and behavioural adjustment. A baseline measurement was completed at 22:30 h, followed by three measurements the following day at approximately 08:00 h, 12:30 h, and 16:30 h. Sleep deprivation led to performance impairments in attention, arithmetic ability, episodic memory, and working memory. No effect of sleep deprivation was observed in the Stroop test. There were variations in attention and arithmetic test performance across different times of day. The effect of sleep deprivation on all cognitive tests was also found to vary at different times of day. In conclusion, this study shows that the KWA's 2-min cognitive tests can be used to detect cognitive impairments following sleep deprivation, and fluctuations in cognitive performance relating to time of day. The results demonstrate the potential of using brief smartphone-based tasks to measure a variety of cognitive abilities within sleep and fatigue research.
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  • Holding, Benjamin C., et al. (author)
  • Sleep deprivation and its effects on communication during individual and collaborative tasks
  • 2019
  • In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 9
  • Journal article (peer-reviewed)abstract
    • Sleep loss has been shown to cause impairments in a number of aspects central for successful communication, ranging from poorer linguistic comprehension to alterations in speech prosody. However, the effect of sleep loss on actual communication is unknown. This study investigated how a night of sleep deprivation affected performance during multiple tasks designed to test verbal communication. Healthy participants (N = 183) spent 8-9 hours per night in bed for three nights and were then randomised to either one night of total sleep deprivation or a fourth night with 8-9 hours in bed. The following day, participants completed two tasks together with another participant: a model-building task and a word-description task. Differences in performance of these tasks were assessed alongside speaking duration, speaking volume, and speaking volume consistency. Additionally, participants individually completed a verbal fluency assessment. Performance on the model-building task was worse if the model-builder was sleep deprived, whereas sleep deprivation in the instruction-giver predicted an improvement. Word-description, verbal fluency, speech duration, speaking volume, and speaking volume consistency were not affected. The results suggest that sleep deprivation leads to changes in communicative performance during instructive tasks, while simpler word-description tasks appear resilient.
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  • Holding, Benjamin C., et al. (author)
  • Sleepiness, sleep duration, and human social activity : An investigation into bidirectionality using longitudinal time-use data
  • 2020
  • In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 117:35, s. 21209-21217
  • Journal article (peer-reviewed)abstract
    • Daytime sleepiness impairs cognitive ability, but recent evidence suggests it is also an important driver of human motivation and behavior. We aimed to investigate the relationship between sleepiness and a behavior strongly associated with better health: social activity. We additionally aimed to investigate whether a key driver of sleepiness, sleep duration, had a similar relationship with social activity. For these questions, we considered bidirectionality, time of day, and differences between workdays and days off. Over 3 wk, 641 working adults logged their behavior every 30 min, completed a sleepiness scale every 3 h, and filled a sleep diary every morning (rendering >292,000 activity and >70,000 sleepiness datapoints). Using generalized additive mixed-effect models, we analyzed potential nonlinear relationships between sleepiness/sleep duration and social activity. Greater sleepiness predicted a substantial decrease in the probability of social activity (odds ratio 95% CI = 0.34 to 0.35 for days off), as well as a decreased duration of such activity when it did occur. These associations appear especially robust on days off and in the evenings. Social duration moderated the typical time-of-day pattern of sleepiness, with, for example, extended evening socializing associated with lower sleepiness. Sleep duration did not robustly predict next-day social activity. However, extensive social activity (>5 h) predicted up to 30 min shorter subsequent sleep duration. These results indicate that sleepiness is a strong predictor of voluntary decreases in social contact. It is possible that bouts of sleepiness lead to social withdrawal and loneliness, both risk factors for mental and physical ill health.
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  • Holding, Benjamin C., et al. (author)
  • The effect of sleep deprivation on objective and subjective measures of facial appearance
  • 2019
  • In: Journal of Sleep Research. - : Wiley. - 0962-1105 .- 1365-2869. ; 28:6
  • Journal article (peer-reviewed)abstract
    • The faces of people who are sleep deprived are perceived by others as looking paler, less healthy and less attractive compared to when well rested. However, there is little research using objective measures to investigate sleep-loss-related changes in facial appearance. We aimed to assess the effects of sleep deprivation on skin colour, eye openness, mouth curvature and periorbital darkness using objective measures, as well as to replicate previous findings for subjective ratings. We also investigated the extent to which these facial features predicted ratings of fatigue by others and could be used to classify the sleep condition of the person. Subjects (n = 181) were randomised to one night of total sleep deprivation or a night of normal sleep (8-9 hr in bed). The following day facial photographs were taken and, in a subset (n = 141), skin colour was measured using spectrophotometry. A separate set of participants (n = 63) later rated the photographs in terms of health, paleness and fatigue. The photographs were also digitally analysed with respect to eye openness, mouth curvature and periorbital darkness. The results showed that neither sleep deprivation nor the subjects' sleepiness was related to differences in any facial variable. Similarly, there was no difference in subjective ratings between the groups. Decreased skin yellowness, less eye openness, downward mouth curvature and periorbital darkness all predicted increased fatigue ratings by others. However, the combination of appearance variables could not be accurately used to classify sleep condition. These findings have implications for both face-to-face and computerised visual assessment of sleep loss and fatigue.
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  • Holding, J. B. C., et al. (author)
  • Total sleep deprivation does not impact emotion categorisation in dynamic stimuli
  • 2016
  • In: Journal of Sleep Research. - 0962-1105 .- 1365-2869. ; 25(S1), s. 152-152
  • Journal article (peer-reviewed)abstract
    • Previous studies have highlighted a deficit in facial emotion recognition after sleep loss. However, while some studies suggest an overall deficit in ability, others have only found effects in individual emotions, or no effect at all. The aim of this study was to investigate this relationship in a large sample and to utilise a dynamic test of emotion recognition in multiple modalities. 145 individuals (91 female, ages 18–45) participated in a sleep-deprivation experiment. Participants were randomised into: one night of total sleep deprivation (TSD) or normal sleep (8–9 h in bed). The following day participants completed a computerised emotional recognition test, consisting of 72 visual, audio, and audio-visual clips, representing 12 different emotions. The stimuli were divided into “easy” and “hard” depending on the intensity of emotional display. A mixed ANOVA revealed significant main effects of modality and difficulty, P < 0.001, but no main effect of condition, P = 0.31, on emotional recognition accuracy. Additionally, there was no interaction between condition and difficulty, P = 0.96, or modality, P = 0.67. This study indicates that sleep deprivation does not reduce the ability to recognise emotions. Given that some studies have only found effects on single emotions, it is possible that the effects of sleep loss are more specific than investigated here. However, it is also possible that previous findings relate to the types of static stimuli used. The ability to recognise emotions is key to social perception; this study suggests that this ability is resilient to one night of sleep deprivation.
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  • Härdelin, Goran, et al. (author)
  • Do Mothers Have Worse Sleep Than Fathers? Sleep Imbalance, Parental Stress, and Relationship Satisfaction in Working Parents
  • 2021
  • In: Nature and Science of Sleep. - 1179-1608. ; 13, s. 1955-1966
  • Journal article (peer-reviewed)abstract
    • Purpose: Previous research indicates that mothers take a larger responsibility for child care during the night and that they have more disturbed sleep than fathers. The purpose of this study was to determine whether such a sleep imbalance exists in working parents of young children, and the extent to which it depends on the way sleep is measured. The study also examined whether imbalanced sleep between parents predicts parental stress and relationship satisfaction.Methods: Sleep was measured for seven consecutive days in 60 parenting couples (average age of the youngest child: 3.3 years ± SD 2.5 years). Actigraphs were worn across the week, and ratings of sleep, parental stress, and relationship satisfaction were made daily.Results: Mothers perceived their sleep quality as worse (b= − 0.38 scale units, p< 0.001), with more wake periods (b= +0.96 awakenings, p< 0.001) but with longer sleep duration (b= +32.4 min, p< 0.01) than fathers. Actigraphy data confirmed that mothers slept longer than fathers (b= +28.03 min, p< 0.001), but no significant differences were found for wake time, number of awakenings or who woke up first during shared awakenings. Furthermore, there was no difference in whether mothers and fathers slept sufficiently. The level of sleep imbalance between parents did not predict parental stress. A larger imbalance in subjective sleep sufficiency predicted decreased relationship satisfaction for fathers (b= − 0.13 scale units, p< 0.01) but increased relationship satisfaction for mothers (b= 0.14 scale units, p< 0.05). No other sleep imbalance measures predicted relationship satisfaction.Conclusion: Our findings are in line with previous research on sleep in men and women in general, with longer sleep and subjective reports of sleep disturbances in women, rather than previous research on sleep in parents of young children. Thus, we found no evidence of a sleep imbalance when both parents have similar working responsibilities.
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  • Ordell Sundelin, M., et al. (author)
  • The transferability of the minimal invasive surgeon’s skills to open surgery
  • 2022
  • In: Scandinavian Journal of Urology. - : Medical Journals Sweden AB. - 2168-1805 .- 2168-1813. ; 56:2, s. 131-136
  • Journal article (peer-reviewed)abstract
    • Background: Robot-assisted laparoscopic surgery has gained popularity, which has contributed to a decrease in the number of open procedures. Hence a growing concern regarding the ability of laparoscopically trained surgeons to perform open surgery (e.g. due to bleeding complications) has been raised. The aim of the study was to investigate the ability of conversion to open surgery following exclusively robotic or laparoscopic training. Methods: Thirty-six medical students were randomized into three groups: Open surgery, laparoscopy, and robot-assisted laparoscopy. All underwent intensive simulation training in the allocated surgical modality. Subsequently, all study subjects performed an open bowel anastomosis in a pig model where anastomoses were tested for resistance to pressure and leak as a surrogate marker of surgical quality. Results: The primary endpoint was the surgical quality of an open surgery model assessed as, leak pressure, which was 80.01 ± 36.16 mmHg in the laparoscopic training group, 106.57 ± 23.03 mmHg in the robotic training group, and 133.65 ± 18.32 mmHg in the open surgery training group (mean, SD). We found that there were no significant differences between the open surgery training group and the robotic training group whereas a significant difference was found when comparing laparoscopic and open surgery training groups in favor of open procedure training (p < 0.001). Conclusion: In a surrogate open surgery model based on bowel anastomosis, we found that skills acquired through practice on robotic simulation platforms were not significantly worse when compared to skills acquired through training in open surgery, whereas skills acquired from laparoscopic training were significantly poorer when compared to open surgery practice. © 2022 Acta Chirurgica Scandinavica Society.
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