The main aim of this study is to understand the existing knowledge gap between thyroid function tests and the severity of liver cirrhosis as measured by the Child-Pugh score. Materials and methodsThis is a cross-sectional study conducted on 100 patients diagnosed with cirrhosis of liver. Serum triiodothyronine (free T3), thyroxine (free T4), and thyroid stimulating hormone (TSH) levels were measured, and the severity of liver cirrhosis was measured by Child-Pugh score and statistical analysis were done to investigate the association of free T3, free T4 and TSH levels with Child-A, Child-B, and Child-C severity groups. ResultsThe results revealed that there is a statistically significant positive correlation between TSH levels and Child-Pugh score, whereas a statistically significant negative correlation was associated between free T3 (fT3), free T4 (fT4) levels, and Child-Pugh Score. Further, we also observed that the Child-C group has 7.5fold risk of increased TSH levels (odds ratio {OR} = 7.553, 95% CI = 2.869-19.883, p = 0.000), has 5-fold risk of decreased fT3 levels (OR = 5.023, 95% CI = 1.369-18.431, p = 0.009) and has 6.4-fold risk of decreased fT4 levels (OR = 6.402, 95% CI = 2.516-16.290, p = 0.000). ConclusionOur results demonstrated that there is a positive and direct correlation associated between increasing TSH with severity of liver cirrhosis as measured by Child-Pugh score, whereas a negative and inverse correlation was observed between decreasing fT3 and fT4 levels with the severity of liver cirrhosis as measured by Child-Pugh score. This suggests that the Child-Pugh score can be used as a prognostic indicator in cirrhotic patients.

This project was developed in a way that the robot is controlled by voice commands. An android application with a microcontroller is used for required tasks. The connection between the android app and the vehicle is facilitated with Bluetooth technology. The robot is controlled by buttons on the application or by spoken commands of the user. The movement of the robot is facilitated by the two dc servo motors connected with microcontroller at the receiver side. The commands from the application is converted in to digital signals by the Bluetooth RF transmitter for an appropriate range (about 100 meters) to the robot. At the receiver end the data gets decoded by the receiver and is fed to the microcontroller which drives the DC motors for the necessary work. The aim of Voice Controlled Robotic Vehicle is to perform the required task by listening to the commands of the user. A prior preparatory session is needed for the smooth operation the robot by the user. For the same a code is used for giving instruction to the controller.

Distance relay plays a pivotal role in the detection of faults and subsequent isolation in transmission lines. However, severe distortion in the measured voltage and current waveforms (such as due to Current Transformer (CT) saturation), affects their performance. This paper focuses on a compensation method for signal reconstruction using Extended Kalman Filter (EKF) algorithm to improve relay functioning, enhancing the safety of transmission lines. The proposed fault detection scheme was tested extensively by running simulations using PSCAD and MATLAB for different types of faults at various distances and CT burden. The CT model in PSCAD was developed based on the Jiles-Atherton phenomenological theory in order to closely resemble a real-time CT with its saturation effects. The simulation results show that the proposed method is highly efficient in determining the exact fault point with improved zone approaching times even with measured signals having high noise and harmonic content. In cases where the conventional relay fails to detect the fault in the correct zone, the compensated data from the proposed method accurately detects the zone. Hardware experimental tests were carried out to further verify the effectiveness of the scheme in real-time, where the EKF based algorithm was implemented using a DSP-based microcontroller