Design of Timer for Application in ATM using FPGA and VHDL

A watchdog timer is a computer hardware timing device that triggers a system reset if the main program, due to some fault condition, such as a hang, neglects to regularly service the watchdog (writing a “service pulse” to it, also referred to as “petting the dog”). The intention is to bring the system back from the hung state into normal operation. Such a timer has got various important applications, one of them being in ATMs (Automated Teller Machine) which we have studied and designed in our project

Shear Wave Elastography of Liver: Measurement of normal liver stiffness in healthy population and factors affecting it

Background: Shear Wave Elastography (SWE) is a recent non-invasive method for determining liverstiffness. SWE is a two-dimensional elastography technique in which an amplitude-modulated beamof focused ultrasound is used to generate shear waves which are then transmitted by the transducerto the region of interest (ROI), where the propagation speed of shear waves is measured. Thepresent study is the first attempt to measure the normal range of liver stiffness using SWE in ahealthy population from North India and to study the effect of age, gender, and BMI on the liverstiffness values in the healthy population. Methods: This cross-sectional observational study wasconducted in the Department of Radiodiagnosis and Imaging, Government Medical College, Jammuon 117 healthy subjects without any known liver pathology or history of any liver disease. B-ModeUltrasound scan, followed by SWE Examination was performed on all subjects using SAMSUNGRS80EVO using CA1-7A convex array probe with a frequency of 1 to 7 MHz. Results: Successfulresults were obtained in 98.2%. The mean value of liver stiffness in 115 healthy subjects was 4.74± 0.91 kPa, and the 95% confidence interval was 4.58-4.91 kPa. (Range: 2.7-7.8 kPa). There wereno statistically significant differences in liver stiffness values regarding age, gender and BMI in thehealthy population (all p> 0.05)

Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)