Rigid polyurethane foams (RPUFs) are essential materials in structural applications due to their thermal insulation, lightweight properties, and mechanical strength. However, evaluating and comparing their compressive performance is complicated by differences in formulation parameters such as density, aging, and crosslink density. This study proposes a standardized normalization approach to evaluate compressive properties across diverse RPUF formulations by adjusting all data to a common reference density. Samples were subjected to controlled aging conditions and analyzed using dynamic mechanical thermal analysis (DMTA) to investigate the relationship between crosslinking behavior and mechanical performance. The results demonstrate

This study aimed to determine the sagittal lip position and some of the factorsaffecting it regarding the gender differences, and their correlations in a sample of Iraqiadults.Sixty two participants (37 females and 25 males) collected among dental studentshaving Cl I skeletal and occlusal relations and full permanent dentition regardless thethird molars were chosen for this study. Each person was subjected to clinicalexamination and digital true lateral cephalometric radiograph. The radiographs wereanalyzed by using AutoCAD 2007 computer program to measure the sagittal lipposition using the soft tissue analyses of Steiner, Burstone, Ricketts, Sushner,Holdaway, and Merrifield. Descriptive statistics were obtained from themeasurements

European Chemical Bulletin (ISSN 2063-5346) is a peer-reviewed journal that publishes original research papers, short communications, and review articles in all areas of chemistry. European Chemical Bulletin has eight sections, namely

Osteoarthritis (OA) is the most common degenerative joint disorder that ultimately results in the progressive destruction of articular cartilage. The occurrence of knee osteoarthritis (OA) increases with obesity and is more common in women compared with men. Thirty patients (20 females, 10 males) clinically diagnosed with knee OA admitted to Baghdad teaching hospital between January 2015-June 2015. Patients between 35-70 year of age and 30 healthy subject (20 females, 10 males) ages matched. The results showed that increased body mass index (BMI) is a well-recognized risk factor for knee osteoarthritis, and the effect of obesity is a stronger predictor of developing knee OA symptoms in women than men. There was also a significant diffe

This study assessed the quality of hand-dug drinking water sources in Eku and its environs at Eku I, Samagidi, Eku 2, and Okuechi, using the weighted arithmetic water quality index method. Water samples collected from hand-dug wells at these locations returned values for analyzed parameters. Temperature 26 – 30(⁰C), dissolved Oxygen (D.O) 5.2-8mg/l, biological oxygen demand (BOD) 5.2-8(mg/l), Electrical Conductivity (EC) 77-119(µS/cm), Total suspended solids were  (TSS) 20000-120000(mg/l), pH 5.31-7.09, Phosphates 2-9.2(mg/l), Alkalinity 28-160(mg/l), Turbidity, 0.02 -0.19(NTU) Total coliform 2 -48 (cfu/ml) and fungal count 1-502. Variations in the values of these parameters were only significant for phosphate, alkalinity, and turb

The aim of this research sought to assess the background radiati on levels of medicinal plant samples in Iraq.The D, AED, and ELCRThe D values are 0.164 ± 0.006 µSv/h.The radiation dose outputs from the afore mentioned research were juxtaposed with the safety threshold of 0.247 µSv/h set by the United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) in 2008 and the National Council on Radiation Pr otection and Measurements (NCRP) in 2009.The radiation exposure for all samples in this investigation is within the permissible limits.Additionally, t he AED values obtained from microsieverts per hour are (1.31 ±0.0326 mS v/y), indicating variability, with a maximum permissible limit of 2.4 mSv/y ear, as per t

The availability of different processing levels for satellite images makes it important to measure their suitability for classification tasks. This study investigates the impact of the Landsat data processing level on the accuracy of land cover classification using a support vector machine (SVM) classifier. The classification accuracy values of Landsat 8 (LS8) and Landsat 9 (LS9) data at different processing levels vary notably. For LS9, Collection 2 Level 2 (C2L2) achieved the highest accuracy of (86.55%) with the polynomial kernel of the SVM classifier, surpassing the Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) at (85.31%) and Collection 2 Level 1 (C2L1) at (84.93%). The LS8 data exhibits similar behavior. Conv