This study includes applying chemical tests on cow, sheep and chicken bones including both hallow and flat. The results of chemical tests on bones mentioned the moisture percentage which was between 4.95-7.32 %, and it was noticed the difference in protein percentage among different kinds of bones, The highest protien percentage was 39.62 % in hallow chicken bones and the lowest was in hallow sheep bones 20.31%, at the same time, the highest Ash percentage was in hallow sheep bones48.11% , whereas the highest percentage of fat was in hallow cow bones 30%. The chemical and physical tests were conducted for extracted fat from hallow and flat bones for cows, sheeps and chicken. It was found that peroxide values (PV), and free fatty acids (FFA) tended to increase proportionally with extraction time at temperatures examined. The lowest values ware obtained after 3 hours as PVs were 0.93, 1.2, 1.0, 1.0, 1.33 and 1.46 meq/ kg oil respectively, FFA values were 0.15, 0.168, 0.187, 0.168, 0.206 and 0.225% respectively. The highest chemical indices for extracted fat from hallow and flat bones for cow and sheep was after 5 hours as PVs were 2.39, 1.8, 1.9, and 1.86 meq/ kg oil respectively, FFA values were 0.253, 0.300, 0.263 and 0.30% respectively. While, the highest chemical indices for extracted fat from hallow and flat chicken bones was after 4 hours, as PVs were 1.6 and 1.73 meq/ kg oil respectively, FFA values were 0.245 and 0.244% respectively. The obtained results showed values of smoking point tended to decrease proportionally as extraction time proceeding at different temperature used, highest values were recorded after extraction for 3 hours, smoking point values were 242.6, 231.33, 223.8, 217.66, 204.5and 204 °C respectively. The lowest physical values of fat extracted from hallow and flat bones of cow and sheep were obtained after 5 hours as the smoking point values were 230.33, 229.83, 203.4 and 204.83°C respectively. The lowest physical indices of fat extracted from hallow and flat chicken bones were obtained after 4 hours, as the smoking point values were 204 and 203.5 °C respectively.
In this paper, we introduce the concept of cubic bipolar-fuzzy ideals with thresholds (α,β),(ω,ϑ) of a semigroup in KU-algebra as a generalization of sets and in short (CBF). Firstly, a (CBF) sub-KU-semigroup with a threshold (α,β),(ω,ϑ) and some results in this notion are achieved. Also, (cubic bipolar fuzzy ideals and cubic bipolar fuzzy k-ideals) with thresholds (α,β),(ω ,ϑ) are defined and some properties of these ideals are given. Relations between a (CBF).sub algebra and-a (CBF) ideal are proved. A few characterizations of a (CBF) k-ideal with thresholds (α, β), (ω,ϑ) are discussed. Finally, we proved that a (CBF) k-ideal and a (CBF) ideal with thresholds (α, β), (ω,ϑ) of a KU-semi group are equivalent relations.
Sickle cell disease (SCD) is a hereditary ailment that can cause severe pain and suffering to people who are affected. However, with continued investment in research and treatment options, we can make progress towards improving the lives of those with SCD. Over 40% of patients experience painful vaso-occlusive crises (VOCs), so we must work towards finding solutions and providing support for those living with this condition, These episodes, a hallmark of SCD, significantly contribute to morbidity, mortality, and a diminished quality of life, while also incurring substantial healthcare costs. Chronic pain particularly affects older adolescents and adults with SCD, with over half reporting daily discomfort. Opioid-based analgesics, though sti
... Show More
(1)
(51)
(43)
(54)
(61)
(56)
The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of
... Show More
(3)
(3)
(213)
(192)
(11)
(4)
(1)
Background: Non-small cell lung cancer (NSCLC) is caused of 85% of all lung cancers. Among the most important factors for lung tumor growth and proliferation are the tyrosine kinase receptors that coded by the epidermal growth factor recep-tor (EGFR) gene. Activation of EGFR ultimately leads to developing of lung cancer. The present study was undertaken with an objective to detect EGFR mutations in bronchial wash from Iraqi patients with NSCLC before treatment. Methods: DNA was extracted from bronchial wash samples collected from 50 patients with NSCLC by using a Qiamp DNA Mini Kit (Qiagen, Hilden, Germany). Then, EGFR mutations were determined by using real-time RCR combined with two technologies, Amplification Refractory Mutation System (
... Show More
(1)