Halophile-specific enzymes have wide-ranging industrial and commercial applications. Despite their importance, there is a paucity of available halophile whole-genome sequences. Here, we report the draft genome sequences of 16 diverse salt-tolerant strains of bacteria and archaea isolated from a variety of high-salt environments.

Current left ventricular assist devices (LVADs) are set to a fixed rpm and are unable to adjust to physiological demands irrespective of preload or afterload. Autonomous control of LVADs has the potential to reduce septal shift, preserve right ventricle function, and meet physiological demands. A highly innovative resonantly coupled regimen is presented which can achieve this goal. We introduce sensors based on a highly sensitive relationship between transmission coefficient and spatial separation in a resonantly coupled regimen. This relationship represents a polynomial regression. A regimen of an apical sensor and multiple outflow sensors is investigated. A range of separations varying from 50-200 mm was systematically investigated. These ranges consider anatomical & physiological variation(s) in cardiac chamber size. Validation was obtained in porcine heart preparation.The polynomial regression model predicted distance between the sensors with a mean absolute percentage error of 0.77%, 1.07%, and 5.75% for the three putative positions of the outflow sensors and apical sensor when compared with experimental results. A high degree of accuracy (95%) between the predicted and observed distance was obtained. Continuous measurements were done over 90 days to examine drift, with no statistically detectable change in measurements over million sampling cycles.We have demonstrated a reliable sensor methodology without drift for assessing ventricular chamber size in an LVAD setup. This has the potential to allow autonomous control of LVAD based on ventricular chamber size to address some of the adverse events.

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Study: Current left ventricular assist devices (LVAD) are set at a fixed RPM; and are unable to adjust to physiological demands irrespective of preload or afterload. An autonomous control of LVADs has the potential to reduce septal shift, preserve right ventricle function, and meet physiological demands. A highly innovative resonantly coupled regimen is presented which can achieve this goal. Methods: We introduce resonantly coupled sensors to measure the ventricular chamber size. A decrease in transmission coefficient (S21) is observed as the distance between the sensors increases. Ventricular chamber size is predicted using a 2nd-degree polynomial regression model. A regimen of an apical epicardial sensor (SA) and outflow graft sensors (SO1, SO2, and SO3) is investigated Fig. 1(a-c). The minimum and maximum distances are 50-150 mm, 100-200 mm, and 50-150 mm, respectively. These ranges account for anatomical variation in heart size. A porcine model was used for experimentation. Results: Our polynomial regression model predicted distance between the sensors with a mean absolute percentage error of 2.1%, 1.24%, and 2.4% for the three positions of the outflow graft sensor when compared with experimental results, as shown in Fig. 1(d-f). A high degree of accuracy (98%) between predicted and observed size was obtained. Conclusion:We have demonstrated a reliable sensor methodology without drift for assessing ventricular chamber size in an LVAD patient. This will pave way for autonomous control of LVAD based on ventricular size. This method of prediction has the potential to prevent adverse outcomes for LVAD patients with physiological perturbations that would otherwise go unnoticed until their next hospital visit.

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