Background: The coronavirus disease-2019 (COVID-19) pandemic has disrupted management of non-COVID-19 illnesses, including cancer. For many solid organ cancers, surgical intervention is imperative. We present our experience with major operations during a nationwide lockdown. Method: This was an observational study of 184 patients, analyzing their perioperative outcomes and categorizing morbidity according to Clavien-Dindo Classification. Strict screening required symptomatic patients to be referred to COVID centers and their operations postponed. Continuous and categorical variables were
<div class="section abstract"><div class="htmlview paragraph">The closed loop air fuel ratio control is one of the essential algorithm to control emissions in internal combustion engine-based vehicle fleets. In order to address this, system and component level diagnostics need to explore extensively. In the presented work, a data-driven method is proposed and implemented to monitor the health of switch type oxygen sensor (lambda sensor). As the response of the lambda sensor present in a vehicle varies over the mile-age which will directly affect the tailpipe emission of the vehicle. Lambda sensor monitoring is the key challenge in OBD-II regulations. A simplified linear model for lambda sensor is derived which includes the lambda sensor gain <i>K<sub>L</sub></i>. The recursive least square estimation algorithm is employed to search the value of the lambda sensor gain <i>K<sub>L</sub></i> for which the model can estimate the lambda sensor output signal. The lambda gain has the correlation with state of health of the lambda sensor. That will be used as an index for age monitoring of the sensor. Proposed algorithm is tested and validated for real city drive condition data set and the results show that the gain <i>K<sub>L</sub></i> converges at different values for different sensor responses. This is an ECU implementable method for real time estimation of sensor gain <i>K<sub>L</sub></i> which lead us to objective determination of degradation in lambda sensor. The estimated value of <i>K<sub>L</sub></i> is validated with three differently aged lambda sensors and mapped to objectively diagnose the health of the sensor.</div></div>
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