BoBBLE: ocean-atmosphere interaction and its impact on the South Asian monsoon

The Bay of Bengal (BoB) plays a fundamental role in controlling the weather systems that make up the South Asian summer monsoon system. In particular,the southern BoB has cooler sea surface temperature (SST) that influence ocean-atmosphere interaction and impact on the monsoon. Compared to the southeast, the southwestern BoB is cooler, more saline, receives much less rain, and is influenced by the Summer Monsoon Current(SMC). To examine the impact of these features on the monsoon, the BoB Boundary Layer Experiment (BoBBLE) was jointly undertaken by India and the UK during June–July 2016. Physical and bio-geochemical observations were made using a CTD, five ocean gliders, a uCTD, a VMP, two ADCPs, Argo floats, drifting buoys, meteorological sensors and upper air radiosonde balloons. The observations were made along a zonal section at 8◦N between 85.3◦E and 89◦E with a 10-day time series at 89◦E, 8◦N. This paper presents the new observed features of the southern BoB from the BoBBLE field program, supported by satellite data. Key results from the BoBBLE field campaign show the Sri Lanka Dome and the SMC in different stages of their seasonal evolution and two freshening events during which salinity decreased in the upper layer leading to the formation of thick barrier layers. BoBBLE observations were taken during a suppressed phase of the intraseasonal oscillation; they captured in detail the warming of the ocean mixed layer and preconditioning of the atmosphere to convection

Modelling and Simulation of Non Linear Tank

ABSTRACT:This paper describes a nonlinear model of conical tank level control system and real time system designs are analysed and their implementation in SIMULINK is outlined. Level control of a conical tank is a complex issue because of the nonlinear nature of the tank. For each stable operating point, a First Order Process model was identified using process reaction curve method; the Control is done and comparison of the synthesis method and skogestad method is clarified

Aortic insufficiency during HeartMate 3 left ventricular assist device support

© 2020 Elsevier Inc. Background: Aortic insufficiency (AI) is associated with morbidity and mortality in patients with continuous-flow left ventricular assist devices (LVADs), whereas its impact on the HeartMate 3 LVAD cohorts remains uninvestigated. We aimed to investigate the clinical impact of AI on patients with HeartMate 3 LVADs. Methods and Results: Consecutive 61 patients (median age 54 years; 67% male) implanted with HeartMate 3 LVAD between 2015 and 2019 were enrolled and underwent echocardiography at 3 months after LVAD implantation. AI severity was quantified by the novel Doppler echocardiographic method obtained at the outflow cannula and the calculated regurgitation fraction of 30% or greater (moderate or greater) was defined as significant. At 3 months after implant, 12 patients (20%) had significant AI. They had a higher incidence of death or heart failure readmissions compared with those without significant AI during a 1-year observational period (70% vs 24%, P = .003) with an adjusted hazard ratio of 2.76 (95% confidence interval 1.03–7.88). Conclusions: In patients with HeartMate 3 LVAD support, significant AI remains both prevalent and a clinically significant downstream complication

Urine Biomarkers and Perioperative Acute Kidney Injury: The Impact of Preoperative Estimated GFR

BackgroundThe interaction between baseline kidney function and the performance of biomarkers of acute kidney injury (AKI) on the development of AKI is unclear.Study designPost hoc analysis of prospective cohort study.Setting & participantsThe 1,219 TRIBE-AKI Consortium adult cardiac surgery cohort participants.PredictorUnadjusted postoperative urinary biomarkers of AKI measured within 6 hours of surgery.OutcomeAKI was defined as AKI Network stage 1 (any AKI) or higher, as well as a doubling of serum creatinine level from the preoperative value or the need for post-operative dialysis (severe AKI).MeasurementsStratified analyses by preoperative estimated glomerular filtration rate (eGFR) ≤ 60 versus > 60mL/min/1.73m(2).Results180 (42%) patients with preoperative eGFRs≤60mL/min/1.73m(2) developed clinical AKI compared with 246 (31%) of those with eGFRs>60mL/min/1.73m(2) (P<0.001). For log2-transformed biomarker concentrations, there was a significant interaction between any AKI and baseline eGFR for interleukin 18 (P=0.007) and borderline significance for liver-type fatty acid binding protein (P=0.06). For all biomarkers, the adjusted relative risk (RR) point estimates for the risk for any AKI were higher in those with elevated baseline eGFRs compared with those with eGFRs≤60mL/min/1.73m(2). However, the difference in magnitude of these risks was low (adjusted RRs were 1.04 [95% CI, 0.99-1.09] and 1.11 [95% CI, 1.07-1.15] for those with preoperative eGFRs≤60mL/min/1.73m(2) and those with higher eGFRs, respectively). Although no biomarker displayed an interaction for baseline eGFR and severe AKI, log2-transformed interleukin 18 and kidney injury molecule 1 had significant adjusted RRs for severe AKI in those with and without baseline eGFRs≤60mL/min/1.73m(2).LimitationsLimited numbers of patients with severe AKI and post-operative dialysis.ConclusionsThe association between early postoperative AKI urinary biomarkers and AKI is modified by preoperative eGFR. The degree of this modification and its impact on the biomarker-AKI association is small across biomarkers. Our findings suggest that distinct biomarker cutoffs for those with and without a preoperative eGFR≤60mL/min/1.73m(2) is not necessary