Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference

Modern-day life is driven by electronic devices connected to the internet. The emerging research field of the Internet-of-Things (IoT) has become popular, just as there has been a steady increase in the number of connected devices. Since many of these devices are utilised to perform CV tasks, it is essential to understand their power consumption against performance. We report the power consumption profile and analysis of the NVIDIA Jetson Nano board while performing object classification. The authors present an extensive analysis regarding power consumption per frame and the output in frames per second using YOLOv5 models. The results show that the YOLOv5n outperforms other YOLOV5 variants in terms of throughput (i.e. 12.34 fps) and low power consumption (i.e. 0.154 mWh/frame)

THE SENSE OF COHERENCE AND SUBJECTIVE WELL-BEING AS RESOURCES OF RESILIENCE IN THE TIME OF STRESSFUL SITUATIONS: COVID-19 OUTBREAK AND EARTHQUAKES

Background: The coronavirus outbreak was labeled a global pandemic by the WHO in March 2020. Simultaneously, an earthquake of 5.5 hit Croati . The present study investigated the association between the sense of coherence, subjective well-being, and emotional distress (depression, anxiety, and stress) that people went through while facing an acute stress situation of COVID-19 outbreak and the earthquakes. Subjects and methods: This cross-sectional study included 1152 subjects. Orientation to Life Questionnaires (OLQ-13), Personal Wellbeing Index (PWI) and DASS-21 scale were used in an anonymous online survey which was conducted on 22 March 2020 (the twelfth day of the COVID-19 outbreak in Croatia and the day of the earthquakes in the Capital). The results of the questionnaires were determined by the correlation analysis. Hierarchical multiple regression was used to evaluate the association between the subjective well-being and the sense of coherence on the emotional distress. Results: The sense of coherence correlated positively with subjective well-being (p<0.01) and negatively with all distress domains (p<0.01) as well as subjective well-being (p<0.01). Mild emotional distress was detected. Subjects who experienced the earthquakes showed a significantly higher degree of anxiety (p=0.005) and stress (p=0.003), with significantly decreased the two personal well-being domains: standard of living (p=0.023) and personal safety (p=0.026). Sense of coherence made a major contribution in explaining emotional distress (p<0.001). Conclusion: The results support the importance of improving coping efficiency of the sense of coherence with respect to obtaining an appropriate level of well-being and reducing emotional distress in acute stressful situations

Global uncertainty in the diagnosis of neurological complications of SARS-CoV-2 infection by both neurologists and non-neurologists: An international inter-observer variability study

Introduction: Uniform case definitions are required to ensure harmonised reporting of neurological syndromes associated with SARS-CoV-2. Moreover, it is unclear how clinicians perceive the relative importance of SARSCoV-2 in neurological syndromes, which risks under- or over-reporting. Methods: We invited clinicians through global networks, including the World Federation of Neurology, to assess ten anonymised vignettes of SARS-CoV-2 neurological syndromes. Using standardised case definitions, clinicians assigned a diagnosis and ranked association with SARS-CoV-2. We compared diagnostic accuracy and assigned association ranks between different settings and specialties and calculated inter-rater agreement for case definitions as "poor" (kappa &lt;= 0.4), "moderate" or "good" (kappa &gt; 0.6). Results: 1265 diagnoses were assigned by 146 participants from 45 countries on six continents. The highest correct proportion were cerebral venous sinus thrombosis (CVST, 95.8%), Guillain-Barre ' syndrome (GBS, 92.4%) and headache (91.6%) and the lowest encephalitis (72.8%), psychosis (53.8%) and encephalopathy (43.2%). Diagnostic accuracy was similar between neurologists and non-neurologists (median score 8 vs. 7/10, p = 0.1). settings with few neurologists. However, encephalopathy, encephalitis, and psychosis were often misdiagnosed