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.
Hygienic engineering has dedicated a lot of time and energy to studying water filtration because of how important it is to human health. Thorough familiarity with the filtration process is essential for the design engineer to keep up with and profit from advances in filtering technology and equipment as the properties of raw water continue to change. Because it removes sediment, chemicals, odors, and microbes, filtration is an integral part of the water purification process. The most popular technique for treating surface water for municipal water supply is considered fast sand filtration, which can be achieved using either gravity or pressure sand filters. Predicting the performance of units in water treatment plants is
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Cybersecurity refers to the actions that are used by people and companies to protect themselves and their information from cyber threats. Different security methods have been proposed for detecting network abnormal behavior, but some effective attacks are still a major concern in the computer community. Many security gaps, like Denial of Service, spam, phishing, and other types of attacks, are reported daily, and the attack numbers are growing. Intrusion detection is a security protection method that is used to detect and report any abnormal traffic automatically that may affect network security, such as internal attacks, external attacks, and maloperations. This paper proposed an anomaly intrusion detection system method based on a
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Early detection of brain tumors is critical for enhancing treatment options and extending patient survival. Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast and clarity than any other scanning method. Manually dividing brain tumors from many MRI images collected in clinical practice for cancer diagnosis is a tough and time-consuming task. Tumors and MRI scans of the brain can be discovered using algorithms and machine learning technologies, making the process easier for doctors because MRI images can appear healthy when the person may have a tumor or be malignant. Recently, deep learning techniques based on deep convolutional neural networks have been used to analyze med
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Is one of the processes of educational guidance to help the individual to design educational plans that fit with the abilities and inclinations and goals.
And research aims the current instruction program heuristic therapeutic knowledge to deal with emotional disorders. And may the researcher instruct a program according to the theories of interested and competent guidance to education and has studied the large number of studies available in this field, as has been the program on a number of specialists in education and Psychology and took their views. And then was adopted the final version of the indicative program, consistent with the sample, which was built
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In this study, we made a comparison between LASSO & SCAD methods, which are two special methods for dealing with models in partial quantile regression. (Nadaraya & Watson Kernel) was used to estimate the non-parametric part ;in addition, the rule of thumb method was used to estimate the smoothing bandwidth (h). Penalty methods proved to be efficient in estimating the regression coefficients, but the SCAD method according to the mean squared error criterion (MSE) was the best after estimating the missing data using the mean imputation method
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This study presents the multi criteria single-machine model. The machine scheduling problem (MSP) for ntasks on a single machine involves minimizing a function of three criteria: total completion time (C_j),maximum earliest (E_max), and tardiness (〖ΣT〗_j), This is an NP-hard issue. Within this work's theoretical section, we present the mathematical formulation of The presented topic thenhighlights the usefulness of the dominance rule (DR), which may be used to develop effective solutions. Whilein the practical part, one of the important exact methods; The proposed MSP tricriteria are solved by applyingthe Branch and Bound (BAB) method, which finds a set of efficient solutions for 1//F(ΣC_j ,ΣT_j ,E_max) upto n=100 jobs. The BAB appro
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