Osteoporosis (OP) is asymptomatic disease until the experience of falls or impacts that cause broken bones or fractures happened. Estrogen deficiency, abnormality in bone matrix components and interleukins expression can impact on bone homeostasis which gradually paved to osteoclastogenesis over activation leading to bone loss. A current case-control study was designed to explain the alteration in certain biochemicals, bone matrix components, immunological and molecular parameters that which accompanied with OP in the postmenopausal women. The period of study's investigation was from December 2022 to July 2023. All participants provided written informed consent, and the study was approved by Department of Biology, College of Science, University of Baghdad Ethical Council (Reference code CSEC/0922/0092, on 26-9-2022). One hundred and ten postmenopausal women were randomly chosen to participate in this study based on specific criteria from Al-Wasity Hospital, Medical City and Al- Imamein Kadhimein Medical City Hospitles, Baghdad, Iraq. The age of the participants was ranged from 45 to 70 years. Firstly, Dual Energy X-ray Absorptiometry (DEXA) scan was performed to all participants in order to assess the precence or abscense of OP disease. Out of 110 samples, 70 samples were confirmed with OP. Meanwhile, 40 samples were control. Venous blood samples were collected from all participants to estimated compelet blood count (CBC), immunological parameters as C-Reactive Protein (CRP), Rheumatoid Facter (RF), Anticyclical Citrullinated Peptide Antibody (ACPA), Interleukin-8 (IL8), Interleukin (IL-17), and Interleukins-22 (IL-22) using enzyme link immunosorbent assay (ELISA) technique, Parathyroid Hormone (PTH), and Calicum (Ca+2), bone matrix component parameters osteopontin (OPN), osteocalicn (OCN), and osteonectin (ON), in addition to,Osteopontin gene SNP rs11730582 polymorphism was determined by the Hight Resolution Melting (HRM) analysis. Highly significant (P≤0.01) decrease in WBC count (6.30±0.18 k/mcL) and HGB (9.900±0.132 g/dL) were observed in OP patients as when compared with the control group, WBC was (8.26±0.27k/mcL) and HGB was (13.321±0.287 g/dL), Conversely, highly significant (P≤0.01) increase was recorded in ESR (43.73±1.76 mm/hr), PLT (437.88±7.00 1083/uL) in OP patients in compare with control, (21.10±1.25mm/hr), and (226.79±9.39 1083/uL), respectively. However, highly significant (P≤0.01) increase was noticed in immunological parameters: CRP was (18.26±1.33 pg/ml), RF (IU/ml) results were positive, and ACPA was (23.26±2.74EU/ml) in OP patients when compared with control, CRP (2.92±0.18 pg/ml), RF (IU/ml) results were negative, and ACPA was (6.26±0.56 EU/ml). Beside to, highly significant (P≤0.01) increase was recorded in IL-8 serum level (249.08 ±19.98ng/ml), IL-17 (107.862±9.25ng/ml), and IL-22 (57.73±2.47 ng/ml) in OP patients as compared with the healthy control group were IL-8 (65.29 ± 5.62 ng/ml), IL-17 (46.135 ± 8.66 ng/ml) and IL-22 (13.57 ± 3.16 ng/ml). The mean PTH serum level of OP patients group was (77.80±1.79pg/mL) and in control group was (35.81±2.06pg/mL), whereas a highly significant (P≤0.01) decrease in mean of Ca⁺² serum level was recorded in OP patients (4.89±0.21 mmol/L) in compared with control group (9.63±0.13 mmol/L). Additionally, high significant (P≤0.01) increase was detected in OPN serum level (16.88±0.77 ng/ml) and OCN (29.86±2.25ng/ml) in OP patients as compared with the healthy control group (5.95±0.41ng/ml and 10.73±0.86ng/ml), respectively. In contrast, ON serum level recorded a highly significant (P≤0.01) decrease in the patient group (1.78±0.971ng/ml) compared with the control group (3.42±0.20ng/ml). The frequency of homozygote TT genotype in patient's analysis was, (14.3%), (10/70) than control group (27.5%), (11/40). While, the frequency heterozygote TC and homozygote mutant CC genotypes were [TC= (71.42%) 50/70 and CC= 14.3% (10/70)] and these genotypes frequency were not significantly differet from those of the control group, (TC= 60%, (24/40), and (CC= 12.5% 5/40). P-value was different (0.0158) significantly in genotype distribution of rs11730582 polymorphism in OP patients whereas, the P-value of rs11730582 was (0.1500) non-significant in control group. In conclusion, this study found that OPN, OCN, and ON protein act as a sensitive monitoring indicator can be used in early detection of osteoporosis. And because of the capacity to activate osteoclastogenesis and promote bone resorption, IL-8, IL-17, IL-22 and rs11730582 of OPN gene polymorphism may be serve as a biomarkers, pro-inflammatory and immune-stimulating factors in OP development.
To improve the efficiency of a processor in recent multiprocessor systems to deal with data, cache memories are used to access data instead of main memory which reduces the latency of delay time. In such systems, when installing different caches in different processors in shared memory architecture, the difficulties appear when there is a need to maintain consistency between the cache memories of different processors. So, cache coherency protocol is very important in such kinds of system. MSI, MESI, MOSI, MOESI, etc. are the famous protocols to solve cache coherency problem. We have proposed in this research integrating two states of MESI's cache coherence protocol which are Exclusive and Modified, which responds to a request from reading
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This research studies the possibility of producing Bone China with available local and geological substitutes and other manufactured ones since it’s traditionally produced by Bone ash, Cornish stone, and China clay, while the substitutes are Kaolin instead of China clay and Feldspar potash instead of Cornish stone. Because of the unavailability of Feldspar in Iraq, it was substituted with the manufactured alternative Feldspar. Bone ash was prepared from cow bones with heating treatments, grinding and sifting. The alternative Feldspar was prepared by chemical analysis of the natural Feldspar potash with local materials that include Dwaikhla Kaolin, Urdhuma Silica sand, Potassium Carbonate, and Sodium Carbonate. The mixture was burned at
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The aim of the research is to study the comparison between (ARIMA) Auto Regressive Integrated Moving Average and(ANNs) Artificial Neural Networks models and to select the best one for prediction the monthly relative humidity values depending upon the standard errors between estimated and observe values . It has been noted that both can be used for estimation and the best on among is (ANNs) as the values (MAE,RMSE, R2) is )0.036816,0.0466,0.91) respectively for the best formula for model (ARIMA) (6,0,2)(6,0,1) whereas the values of estimates relative to model (ANNs) for the best formula (5,5,1) is (0.0109, 0.0139 ,0.991) respectively. so that model (ANNs) is superior than (ARIMA) in a such evaluation.
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The petroleum industry, which is one of the pillars of the national economy, has the potential to generate vast wealth and employment possibilities. The transportation of petroleum products is complicated and changeable because of the hazards caused by the corrosion consequences. Hazardous chemical leaks caused by natural disasters may harm the environment, resulting in significant economic losses. It significantly threatens the aim for sustainable development. When a result, determining the likelihood of leakage and the potential for environmental harm, it becomes a top priority for decision-makers as they develop maintenance plans. This study aims to provide an in-depth understanding of the risks associated with oil and gas pipeli
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Photodetector based on Rutile and Anatase TiO2 nanostructures/n-Si Heterojunction
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The aim of this paper to find Bayes estimator under new loss function assemble between symmetric and asymmetric loss functions, namely, proposed entropy loss function, where this function that merge between entropy loss function and the squared Log error Loss function, which is quite asymmetric in nature. then comparison a the Bayes estimators of exponential distribution under the proposed function, whoever, loss functions ingredient for the proposed function the using a standard mean square error (MSE) and Bias quantity (Mbias), where the generation of the random data using the simulation for estimate exponential distribution parameters different sample sizes (n=10,50,100) and (N=1000), taking initial
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Recently Tobit Quantile Regression(TQR) has emerged as an important tool in statistical analysis . in order to improve the parameter estimation in (TQR) we proposed Bayesian hierarchical model with double adaptive elastic net technique and Bayesian hierarchical model with adaptive ridge regression technique .
in double adaptive elastic net technique we assume different penalization parameters for penalization different regression coefficients in both parameters λ1and λ2 , also in adaptive ridge regression technique we assume different penalization parameters for penalization different regression coefficients i
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