The problem of unemployment is one of the most important problems faced by most countries of the world, and it is one of the intractable problems in developing countries, and in Iraq unemployment occupies great importance due to its high rates. This problem in itself is a serious condition, because it results from mismanagement and the structure of the economy, and despite its great importance, it has not been carefully monitored. There are studies and strategies that deal with the analysis and study of those causes that lead to this problem, such as traditional statistical methods, various mathematical and statistical methods, in this research proposed a method uses machine learning methods to find the factors that affect the causes of this problem, as well as the multiple linear regression method.

Most postgraduate students intend to complete their study successfully. Yet, they might face fear of failure or fear of facing examiners during thevivasession.A viva session has been noted to be mysterious, unpredictable, and potentially frightening to somestudents, particularly to students whose English is their second language.Some of these students might consider themselves to have  low ability in expressing their words thus lacking in confidence to facean oral assessment.These students, however, can prepare well for a viva session by rereading their thesis, arranging for a mockviva, and practicing debating their work with a senior student. This paper attempts to present a new way of viva preparation by means of a virtual viva simulator (V2Sim). This V2Sim is based on a virtual reality approach that usesan avatar as an examiner. This study aims to design and developa V2Sim to providearepeatablecoaching for a viva session at no cost. The implementation ofthe V2Sim involved three phases: identification of research problem, design and development, and evaluation. The study aspires to examine the experience of postgraduate students using the new technique. For this purpose, a combination of interviews and an experimental method were adopted to evaluate the V2Sim coachingamong 30 PhD students. Interpretive outcomes from this study suggest that the V2Sim coachingis a novel tool for assessing learning outcomes for a viva voce session and for improving students’ skills. Based on these findings, implications for the adoption of V2Sim coachingas an assessment method are discussed, among which the improvement of the experience of viva-voce session in the future.

Background and Aims Renal complications of COVID-19 are not yet well studied. We aimed to evaluate the prevalence of acute kidney injury (AKI) among positive COVID-19 hospitalize cases and explore its impact on patient outcomes. Method 586 hospitalized patients with COVID-19 were retrospectively evaluated. of them, 267 (45.5%) developed AKI- classified according to the Kidney Disease Improving Global Outcomes (KDIGO) guidelines- compared with 319 (54.5%) patients without AKI. Results Most cases were males (72.7% vs. 69.7%), and their ages ranged (60.8± 14 vs. 51.7± 16 years). Comorbid conditions significantly predominant among the AKI group were diabetes mellitus (64 vs. 42.9%), hypertension (72.6% vs. 43.5%), and ischemic heart disease (25% vs. 14.7%). Fever, cough, shortness of breath, and dehydration were the main presentations among the AKI group, and they had significant radiological findings concordant with COVID-19 (86.8% vs. 59.8%). Sepsis, volume depletion, shock, arrhythmias, and ARDS were significantly higher in the AKI group. Anticoagulation (85% vs. 59.2%), vasopressors, plasma infusions, antimicrobials, and steroids were more frequently used in the AKI group. Acute respiratory failure requiring mechanical ventilation and the overall mortality rate were significantly higher in the AKI group (62.3% vs. 32.9% and 63.2%. vs. 31.1%, respectively). Conclusion AKI associated with severe COVID-19 was more frequent than reports from Chinese, European, and North American cohorts. AKI risk factors included COVID-19 comorbidities like hypertension, diabetes, mechanical ventilation, male gender, and older age. Mortality was high in this population, especially elderly patients, and in those who develop KDIGO stage 3 AKI.

Face recognition systems are one of the most important applications in the field of computer vision. Where these systems enter into the development of many applications, especially in the field of medicine, security and Human Computer Interaction (HCI), In addition to the development of robotics. The system proposed in this paper includes the design of a software model capable of distinguishing two of the most important expressions of the human face: happiness and sadness, plus to the natural expression of the human face. The proposed system includes the approach to the design of any recognition system, starting from image acquisition and pre-processing, through the extraction of attributes. Finally to classify and give the output of the recognition. In the first stage a hybrid algorithm was adopted to extract the oval face. Two dimensions principal component analysis (2DPCA) for stage of features extraction. In the classification stage was used Euclidean distance. The results obtained showed high accuracy to distinguish the proposed expressions, so that the results of the recognition reached (95 %) percent when testing 120 samples from a Multimedia Understanding Group (MUG) Database [1].

Background and Aims Several studies have shown that post-transplant anemia (PTA) might be associated with increased mortality and decreased graft survival and de-novo congestive heart failure. So we aimed from this prospective randomized controlled study to assess the impact of full correction of PTA on the cardiovascular system of renal transplant recipients receiving erythropoietin stimulating agents (ESA). Method We recruited 247 kidney recipients with stable graft function in this RCT with 2 groups according to their target hemoglobin (11-12 g/dl, group 1, n=183) and (13:15 g/dl, group 2, n=64). After correction of deficiencies, the target hemoglobin was achieved using ESA. All patients were followed up clinically and Laboratory and radiologically for 12 months. Results Diabetic nephropathy was the main cause of ESKD in group 1. The studied groups were comparable regarding pre-transplant co-morbidities. Most patients received thymoglobulin as induction then cyclosporine based maintenance immunosuppression. We did not find any significant difference between the two groups concerning post-transplant diabetes, BK viremia or malignancies and even cardiovascular events (TIA, stroke, ACS), (p>0.05). Group 1 showed higher mean blood pressure (P = .003), lower LV internal dimensions, higher LVH, LV mass, IVSD and LV mass index after one year of the study (p< 0.05). MIVSD, mean ejection fraction and FS were comparable in both groups (p>0.05). Graft outcome was comparable between both groups (P = .125), meanwhile mortality cases were significantly higher among group 1 (16 cases, 8.7%) (P = .005). Conclusion Full correction of PTA is associated with stabilized cardiac dimensions indices without any significant cardiovascular comorbidities.