Pregnancy and childbirth are physiological states characterized by sudden hormonal and immunologically described changes. The current study aimed to investigate the influence of maternal variables (age, previous abortion, placental position, and fetal position) on some physiological biomarkers, such as oxytocin (OT), prolactin (PRL), cortisol, and insulin growth factor 2 (IGF -2) and some immune biomarkers such as programmed cell death protein 1 (PD-1), programmed cell death ligand 1 (PD-L1) and interleukin 6 (IL-6) in Iraqi women undergoing caesarean section (CS). Blood samples were collected from 48 pregnant women in the age range (16-43 years) and serum was obtained to determine the levels of the above biomarkers. The effect of maternal age on physiological biomarkers showed that OT levels increased significantly with maternal age (P≤0.001), whereas PRL, cortisol, and IGF-2 levels were not (P˃0.05), showing differences between age categories. The effect of maternal age on immune biomarkers showed that PD-1 levels decreased significantly (P<0.05) and PD-L1 and PD-1/PD-L1 levels were highly significant (P≤ 0.001), however, IL-6 level shows a non-significant (P˃0.05) difference between age categories. Regarding the effect of previous abortion, statistical analysis showed that cortisol levels were significantly (P<0.05) lower in women with previous abortion compared to women without previous abortion, while OT, PRL, and IGF-2 levels were not significantly different (P ˃ 0.05) difference between the two groups. PD-1 and PD-L1 levels showed a significant (P<0.05) decrease in women with previous abortion compared with women without abortion, while IL-6 mirror images did not differ significantly (P˃0.05) between the two groups. The effect of placenta position showed that when the placenta was in the anterior position, the PRL level was significantly increased (P≤0.001), IGF-2 level was significantly decreased (P<0.05), while the OT and cortisol levels were significantly higher (P≤0.001) compared with the posterior position There was no significant difference between the two groups (P˃0.05). When the placenta was located in the anterior compared with the posterior, the level of PD-L1 was significantly (P<0.05) lower, while the levels of PD-1 and PD -1/PD- were not significantly different (P˃0.05). L1 and IL-6 between the two groups. According to fetal position, statistical analysis showed no significant difference in all physiological and immune biomarkers when the fetus was in cephalic or breech position (P˃0.05). It can be concluded that the more maternal variables which affect on the physiological and immunological biomarkers of the women undergoing caesarean section are maternal age and a previous abortion.
In this study, a theoretical scenario has been used to calculate the electronic current in sensitizer N3 molecule contact to TiO2 semiconductor for electrons in functional solar cells. It is known to play an important role on the compute the eficiency of solar cell. Some parameters of electronic current such as the transition energy, driving force energy, barrier height coupling overlapping values are determined. Transition energy is a necessary parameter to calculate the electronic current in solar cell with using wide polarity solvents Acetic acid, 2-Methoxyethanol, 1-Butanol, Methyl alcohol, chloroform, N,N-Dimethylacetamide and Ethyl alcohol via the quantum donor-acceptor system. Here, we show the results of transition energy can be var
... Show MoreThis systematic review aimed to investigate the relation between orthodontic treatment (OT) and the incidence of the gingival black triangle (GBT) after completing treatment with a fixed orthodontic appliance, as well as the associated risk factors and the level of alveolar bone. Electronic and hand searches were conducted in three electronic databases for relevant articles published up to March 2022. Retrieved articles went through a two-step screening procedure, and the risk of bias (RoB) was assessed by the Joanna Briggs Institute checklists. The incidence of GBT after OT was set as the primary outcome, while the secondary outcomes were the risk factors associated with GBT and alveolar bone loss following OT. Out of 421 papers, 5
... Show MoreRapid worldwide urbanization and drastic population growth have increased the demand for new road construction, which will cause a substantial amount of natural resources such as aggregates to be consumed. The use of recycled concrete aggregate could be one of the possible ways to offset the aggregate shortage problem and reduce environmental pollution. This paper reports an experimental study of unbound granular material using recycled concrete aggregate for pavement subbase construction. Five percentages of recycled concrete aggregate obtained from two different sources with an originally designed compressive strength of 20–30 MPa as well as 31–40 MPa at three particle size levels, i.e., coarse, fine, and extra fine, were test
... Show MoreHypothesis CO2 geological storage (CGS) involves different mechanisms which can store millions of tonnes of CO2 per year in depleted hydrocarbon reservoirs and deep saline aquifers. But their storage capacity is influenced by the presence of different carboxylic compounds in the reservoir. These molecules strongly affect the water wetness of the rock, which has a dramatic impact on storage capacities and containment security. However, precise understanding of how these carboxylic acids influence the rock’s CO2-wettability is lacking. Experiments We thus systematically analysed these relationships as a function of pressure, temperature, storage depth and organic acid concentrations. A particular focus was on identifying organic acid conce
... 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
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