Zain Majid, Muhammad Manzoor ul Haque, Muhammad Danish Ashraf, Nasir Hassan Luck and Ameet Kumar Lalwani
A young female presented to us with abdominal distension along with pedal edema. She had no prior medical or surgical history apart from a caesarean section done a few years prior. Initial workup showed low hemoglobin, low serum albumin and slight raised ESR. Her LFTs were slightly deranged. Ultrasound abdomen had evidence of portal hypertension along with splenomegaly. While ultrasound hepatic Doppler revealed a portosystemic shunt between the portal vein and the left hepatic vein, with a shunt ratio of 7.1%. CT scan abdomen confirmed these findings and a diagnosis of Type III intrahepatic portosystemic shunt and spleno-renal shunt was made. Since the patient was currently asymptomatic, she was advised regular follow-ups and was managed conservatively.
Assad Farooq, Muhammad Ilyas Sarwar, Muhammad Azeem Ashraf, Danish Iqbal, Azmat Hussain and Samander Malik
Cotton fibre maturity is the measure of cotton’s secondary cell wall thickness. Both immature and over-mature fibres are undesirable in textile industry due to the various problems caused during different manufacturing processes. The determination of cotton fibre maturity is of vital importance and various methods and techniques have been devised to measure or calculate it. Artificial neural networks have the power to model the complex relationships between the input and output variables. Therefore, a model was developed for the prediction of cotton fibre maturity using the fibre characteristics. The results of predictive modelling showed that mean absolute error of 0.0491 was observed between the actual and predicted values, which show a high degree of accuracy for neural network modelling. Moreover, the importance of input variables was also defined.
Muhammad Maqsood, Yasir Nawab, Khubab Shaker, Muhammad Umair, Munir Ashraf, Danish Mahmood Baitab, Syed Talha Ali Hamdani and Salma Shahid
The paper investigates the effects of weave structure and fabric thread density on the comfort and mechanical properties of various test fabrics woven from polyester/cotton yarns. Three different weave structures, that is, 1/1 plain, 2/1 twill and 3/1 twill, and three different fabric densities were taken as input variables whereas air permeability, overall moisture management capacity, tensile strength and tear strength of fabrics were taken as response variables and a comparison is made of the effect of weave structure and fabric density on the response variables. The results of fabric samples were analysed in Minitab statistical software. The coefficients of determinations (R-sq values) of the regression equations show a good predictive ability of the developed statistical models. The findings of the study may be helpful in deciding appropriate manufacturing specifications of woven fabrics to attain specific comfort and mechanical properties.