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.
Calcium carbonate is predominantly present in aqueous systems, which is
commonly used in industrial processes. It has inverse solubility characteristics
resulting in the deposition of scale on heat transfer surface. This paper focuses on
developing methods for inhibition of calcium carbonate scale formation in cooling
tower and air cooler system where scaling can cause serious problems, ZnCl 2 and ZnI
2 has been investigated as scale inhibitor on AISI 316 and 304. ZnCl 2 were more
effective than ZnI 2 in both systems, and AISI 316 show more receptivity to the
chlorides salt compared to AISI 304. The inhibitors were more effective in cooling
tower than air cooler system. AISI 316 show more constant inhibition effic
We study in this paper the composition operator of induced by the function ?(z)=sz+t where , and We characterize the normal composition operator C? on Hardy space H2 and other related classes of operators. In addition to that we study the essential normality of C? and give some other partial results which are new to the best of our knowledge.
Fuzzy logic is used to solve the load flow and contingency analysis problems, so decreasing computing time and its the best selection instead of the traditional methods. The proposed method is very accurate with outstanding computation time, which made the fuzzy load flow (FLF) suitable for real time application for small- as well as large-scale power systems. In addition that, the FLF efficiently able to solve load flow problem of ill-conditioned power systems and contingency analysis. The FLF method using Gaussian membership function requires less number of iterations and less computing time than that required in the FLF method using triangular membership function. Using sparsity technique for the input Ybus sparse matrix data gi
... Show MoreMeasuring the efficiency of postgraduate and undergraduate programs is one of the essential elements in educational process. In this study, colleges of Baghdad University and data for the academic year (2011-2012) have been chosen to measure the relative efficiencies of postgraduate and undergraduate programs in terms of their inputs and outputs. A relevant method to conduct the analysis of this data is Data Envelopment Analysis (DEA). The effect of academic staff to the number of enrolled and alumni students to the postgraduate and undergraduate programs are the main focus of the study.
Nowadays, internet security is a critical concern; the One of the most difficult study issues in network security is "intrusion detection". Fight against external threats. Intrusion detection is a novel method of securing computers and data networks that are already in use. To boost the efficacy of intrusion detection systems, machine learning and deep learning are widely deployed. While work on intrusion detection systems is already underway, based on data mining and machine learning is effective, it requires to detect intrusions by training static batch classifiers regardless considering the time-varying features of a regular data stream. Real-world problems, on the other hand, rarely fit into models that have such constraints. Furthermor
... Show MoreA land magnetic survey was carried out along regional profile, which is located at the north part of the Iraqi western desert. It starts from al –Qaam City (at north) toward Rutba City (at south) with a total length of 238km. The survey was carried out along the paved road between the two cities, About 113 measuring points were done with inter-station distance of 2 km (for 198 km) and 2 to 5km (for 40km). Two proton magnetometers were used in this survey. One of them is used for base station monitoring, which was fixed as of Salah Aldin field (Akkas). Its readings were used for diurnal corrections. All magnetic measurements were corrected for normal and topographic corrections. The readings were reduced to a certain base level. The resu
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The Internet of Things (IoT) has significantly transformed modern systems through extensive connectivity but has also concurrently introduced considerable cybersecurity risks. Traditional rule-based methods are becoming increasingly insufficient in the face of evolving cyber threats. This study proposes an enhanced methodology utilizing a hybrid machine-learning framework for IoT cyber-attack detection. The framework integrates a Grey Wolf Optimizer (GWO) for optimal feature selection, a customized synthetic minority oversampling technique (SMOTE) for data balancing, and a systematic approach to hyperparameter tuning of ensemble algorithms: Random Forest (RF), XGBoost, and CatBoost. Evaluations on the RT-IoT2022 dataset demonstrat
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Activated carbon (AC) is a highly important adsorbent material, as it is a solid form of pure carbon that boasts a porous structure and a large surface area, making it effective for capturing pollutants. Thanks to its exceptional features, AC is widely used for purifying water that is contaminated with odors and removing dyes in a cost-effective manner. A variety of carbonic materials have been employed to prepare AC, and this study aimed to evaluate the suitability of utilizing waste mango and avocado seeds for this purpose, followed by testing their efficacy in removing dye from aqueous solutions. The results indicate that using waste mango and avocado as AC is technically feasible, achieving dye removal percentages of 98% and 93%,
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