Many studies of the relationship between COVID-19 and different factors have been conducted since the beginning of the corona pandemic. The relationship between COVID-19 and different biomarkers including ABO blood groups, D-dimer, Ferritin and CRP, was examined. Six hundred (600) patients, were included in this trial among them, 324 (56%) females and the rest 276 (46%) were males. The frequencies of blood types A, B, AB, and O were 25.33, 38.00, 31.33, and 5.33%, respectively, in the case group. Association analysis between the ABO blood group and D-dimer, Ferritin and CRP of COVID-19 patients indicated that there was a statistically significant difference for Ferritin (P≤0.01), but no-significant differences for both D-dimer and CRP. biomarkers. Regarding the age association between COVID-19 patients and biomarkers, D-dimer and Ferritin levels showed a significant difference (P≤0.01), (P≤0.05) in sequence, between ages. Meanwhile CRP level was non-significant. Considering the gender effect on biomarkers on COVID-19 patients, D-dimer and Ferritin males were significant (P≤0.05), (P≤0.01) in sequence from females. But no-significant effect of CRP level. Our results proved that age is an important factor in the COVID-19 infection’s development. The evidence of the association between ABO blood group, D-dimer, CRP and Ferritin with COVID-19 severity, progression and susceptibility, is important and requires more investigation.
This study aimed to discover the reality of the teacher's maintainced of order and classroom management from the perspective of teachers themselves.
A social survey with an introduce sample that consist (180) male and female teachers from the provinces of Ajloun and Jerash in 2008-2009. To achieve the objective of the study was developed for this purpose and the results have shown the existence of statistically significant differences in marinating order and the management of class and in favor of females, the results also showed Statistically significant differences regarding the academic qualification and for the benefit of holders of master degrees and more compared to those with bachelor's degree.
... Show MoreCommunity pharmacists faced more complex challenges in meeting patients’ medication needs during the pandemic than previously reported in the literature. Objectives To explore the perception and abilities of community pharmacists in managing patients’ needs in terms of medication dispensing during the pandemic, and to examine its effect on improving the patients’ situations. Materials and Methods A cross-sectional study design, validated by 30 experts, was conducted using an electronic survey (Google Form) to assess the effect of the dispensing practice of Iraqi community pharmacists on the patient’s clinical outcomes during the pandemic. The survey was distributed on professional pharmacist’s social media platforms from December
... Show MoreBackground: Adipose derived-mesenchymal stem cells have been used as an alternative to bone marrow cells in this study. Objective: We investigated the in vitro isolation, identification, and differentiation of stem cells into neuron cells, in order to produce neuron cells via cell culture, which would be useful in nerve injury treatment. Method: Mouse adipose mesenchymal stem cells were dissected from the abdominal subcutaneous region. Neural differentiation was induced using β-mercaptoethanol. This study included two different neural stage markers, i.e. nestin and neurofilament light-chain, to detect immature and mature neurons, respectively. Results: The immunocytochemistry results showed that the use of β-mercaptoethanol resulted in
... Show MoreThe deviation from the rules and standards of the Arabic language is considered a melody, so the criteria were quantitative and temporal and be deviate from the general rule which are called abnormal and accept in time in the age of eloquence.
With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 models are trained using the indoor and outdoor se
... Show More