A SURVEY OF AI IMAGING TECHNIQUES FOR COVID-19 DIAGNOSIS AND PROGNOSIS

The Coronavirus Disease 2019 (COVID-19) has caused massive infections and death toll. Radiological imaging in chest such as computed tomography (CT) has been instrumental in the diagnosis and evaluation of the lung infection which is the common indication in COVID-19 infected patients. The technological advances in artificial intelligence (AI) furthermore increase the performance of imaging tools and support health professionals. CT, Positron Emission Tomography – CT (PET/CT), X-ray, Magnetic Resonance Imaging (MRI), and Lung Ultrasound (LUS) are used for diagnosis, treatment of COVID-19. Applying AI on image acquisition will help automate the process of scanning and providing protection to lab technicians. AI empowered models help radiologists and health experts in making better clinical decisions. We review AI-empowered medical imaging characteristics, image acquisition, computer-aided models that help in the COVID-19 diagnosis, management, and follow-up. Much emphasis is on CT and X-ray with integrated AI, as they are first choice in many hospitals

Designing Intruder Detection System for Intelligent Responsive Safe Environment

To meet the ever growing need of creating an intelligent and responsive environment and also to provide safety and security to citizens, designing effective intruder detection system has become inevitable. During last few decades various technologies have been developed for intruder detection system but due to various associated issues like less accuracy, high cost, difficult implementability and others have kept the hunt on for much better and advanced system. So, under present research, technology and hardware for an indigenous intruder detection system based on ground vibration has been developed with geophone sensor. Through various trial and errors, a Ground Vibration Sensor System for Intruder Detection (GVSSID) has been successfully designed, implemented and tested at hardware level. Present GVSSID has shown a detection circle of radius three to four meters with maximum recorded output of more than 2 volts. The result analysis with present system has shown 80% accuracy in human footsteps detection. Result analysis of GVSSID has also shown that it is also possible to develop accurate human identification algorithm which is currently in progress under present research

Functional profiling reveals altered metabolic activity in divers’ oral microbiota during commercial heliox saturation diving

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A survey of AI imaging techniques for COVID-19 diagnosis and prognosis

The Coronavirus Disease 2019 (COVID-19) has caused massive infections and death toll. Radiological imaging in chest such as computed tomography (CT) has been instrumental in the diagnosis and evaluation of the lung infection which is the common indication in COVID-19 infected patients. The technological advances in artificial intelligence (AI) furthermore increase the performance of imaging tools and support health professionals. CT, Positron Emission Tomography – CT (PET/CT), X-ray, Magnetic Resonance Imaging (MRI), and Lung Ultrasound (LUS) are used for diagnosis, treatment of COVID-19. Applying AI on image acquisition will help automate the process of scanning and providing protection to lab technicians. AI empowered models help radiologists and health experts in making better clinical decisions. We review AI-empowered medical imaging characteristics, image acquisition, computer-aided models that help in the COVID-19 diagnosis, management, and follow-up. Much emphasis is on CT and X-ray with integrated AI, as they are first choice in many hospitals

The Assessment of Daily Energy Expenditure of Commercial Saturation Divers using Doubly Labelled Water

Commercial saturation divers are exposed to unique environmental conditions and are required to conduct work activity underwater. Consequently, divers’ physiological status is shown to be perturbed and therefore, appropriate strategies and guidance are required to manage the stress and adaptive response. This study aimed to evaluate the daily energy expenditure (DEE) of commercial saturation divers during a 21-day diving operation in the North Sea. Ten saturation divers were recruited during a diving operation with a living depth of 72 metres seawater (msw) and a maximum working dive depth of 81 msw. Doubly labelled water (DLW) was used to calculate DEE during a 10-day measurement period. Energy intake was also recorded during this period by maintaining a dietary log. The mean DEE calculated was 3030.9 ± 513.0 kcal/day, which was significantly greater than the mean energy intake (1875.3 ± 487.4 kcal; p = 0.005). There was also a strong positive correction correlation between DEE and total time spent performing underwater work (r = 0.7, p = 0.026). The results suggested saturation divers were in a negative energy balance during the measurement period with an intraindividual variability in the energy cost present that may be influenced by time spent underwater

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Not AvailableIn this study, jute stick (JS), the underexplored by-product of jute (Corchorus olitorius) cultivation system, has been used as a novel low-cost adsorbent to remove methylene blue (MB), a cationic dye, from an aqueous medium. Box–Behnken design matrix and response surface methodology (RSM) have been used to evaluate the effect of four important process factors namely, solution pH (3–11), adsorbent dose (0.5–5 g L−1), initial dye concentration (50–200 mg L−1), and time (60–180 min). JS was characterized by physico-chemical parameters, pHzpc (zero-point charge), FTIR for the functional groups and SEM–EDX for surface morphology. The direct and interaction effects of adsorption parameters were studied. The optimum values of pH, dose, initial concentration, and time for maximum % dye removal were 10.27, 5 (g L−1), 200 (mg L−1), and 66.06 min. Regeneration and recycling studies were also carried out. The present study indicated that JS, a bio-waste of jute cultivation system, can be effectively utilized as an adsorbent to treat MB contaminated aqueous medium/ wastewater before environmental disposal.Not Availabl