Osteoporosis (OP) is a systemic skeletal disease characterized by low bone mineral density and deterioration of bone architecture, resulting in bone strength reduction and increased fracture susceptibility. Estrogen deficiency in post-menopausal women is possibly responsible for the instability between bone formation and resorption, which is managed by specific osteoclastogenic cytokines that may be leading to resorption. This study aims to estimation of the concentrations of interleukins −8, −17, −22, beside to certain parameters in blood serum and explained their roles in the development of osteoporosis pathogenicity in postmenopausal women. Materials and Methods A case-control study included 108 Iraqi postmenopausal women participants their ages ranged between 45 and 70 years. All participants subjected to the DEXA scan, 58 samples were osteoporotic patients, whereas 50 were healthy controls. Blood samples collected from all participants in order to assess the levels of interleukins −8, −17, −22, CBC, CRP, RF, and ACPA. Results The concentrations of IL-8, −17, −22, ESR, PLT, CRP, RF and ACPA exhibited a positive correlation with OP development. Conversely, WBC and HGB concentrations showed a negative association with osteoporosis. Conclusion A remarkable relationship was obtained between the values of IL-8, 17, −22, CRP, RF, ACPA, ESR, PLT and osteoporosis but in contrary with WBCs and HGB. IL-8, −17, and − 22 can be linked to specific inflammatory diseases associated with the postmenopausal period, may act as one of the main biomarkers for osteoporosis due to their ability to stimulate osteoclastogenesis and bone resorption, and may be considered potential prognostic factors for osteoporosis.
Citrate-gel auto combustion technique was used to synthesize nickel-copper mixed ferrite nanoparticles NixCu1-xFe2O4 (x= 0.0, 0.4, 1.0) with different calcinating temperatures (200, 450, 650 and 850 °C). Structural, morphological, magnetic, and electrical properties were studied using X-ray diffraction (XRD), transmission electron microscopy (TEM), field emission scanning electron microscopy (FE-SEM), Fourier transform infrared spectroscopy (FTIR), vibrating sample magnetometer (VSM), and LCR meter in order to determine significant influences of Cu2+ cations content in nickel ferrite. The XRD patterns showed that all compositions had cubic spinels, except CuFe2O4
... Show MoreIn this paper, The Grobner basis of the Toric Ideal for - contingency tables related with the Markov basis B introduced by Hussein S. MH, Abdulrahman H. M in 2018 is found. Also, the Grobner basis is a reduced and universal Grobner basis are shown.
The current study presents the simulative study and evaluation of MANET mobility models over UDP traffic pattern to determine the effects of this traffic pattern on mobility models in MANET which is implemented in NS-2.35 according to various performance metri (Throughput, AED (Average End-2-end Delay), drop packets, NRL (Normalize Routing Load) and PDF (Packet Delivery Fraction)) with various parameters such as different velocities, different environment areas, different number of nodes, different traffic rates, different traffic sources, different pause times and different simulation times . A routing protocol.…was exploited AODV(Adhoc On demand Distance Vector) and RWP (Random Waypoint), GMM (Gauss Markov Model), RPGM (Refere
... Show MoreA novel series of pyrazole derivatives containing imidazo[1,2-a]pyridine D1-D8 moiety has been synthesized. The reaction of 2-aminopyridine with 4-phenylphenacyl bromide and 4-bromophenacyl bromide gave the products A and A1, respectively. These products then reacted with DMF and POCl3 to obtain new aldehyde derivatives B and B1. These two aldehydes were condensed with various acetophenone substitutes to yield the corresponding chalcone derivatives C1-C10. Following this, the cycloaddition reaction with hydrazine hydrate provided new pyrazole derivatives D1-D8. The prepared compounds
... Show MoreThe consumption of dried bananas has increased because they contain essential nutrients. In order to preserve bananas for a longer period, a drying process is carried out, which makes them a light snack that does not spoil quickly. On the other hand, machine learning algorithms can be used to predict the sweetness of dried bananas. The article aimed to study the effect of different drying times (6, 8, and 10 hours) using an air dryer on some physical and chemical characteristics of bananas, including CIE-L*a*b, water content, carbohydrates, and sweetness. Also predicting the sweetness of dried bananas based on the CIE-L*a*b ratios using machine learn- ing algorithms RF, SVM, LDA, KNN, and CART. The results showed that increasing the drying
... Show MoreIn this research paper, we explain the use of the convexity and the starlikness properties of a given function to generate special properties of differential subordination and superordination functions in the classes of analytic functions that have the form in the unit disk. We also show the significant of these properties to derive sandwich results when the Srivastava- Attiya operator is used.