Should We Do Bilateral Internal Mammary Artery Grafting in Diabetic Patients?

Nowadays, potential advantages of BIMA grafting are recognized overall in terms of long-term survival1 and by not increasing operative morbidity. One of the major restrictions for extending the use of BIMA grafting is the current impossibility of generalizing the procedure to higher risk patients. These results tend to confirm recent results that promote the use of BIMA grafting in every kind of patients and consequently to confirm the generalization of the procedure, without being afraid of sternal complications. The absence of deep sternal wound infection in our study shows that there is no contraindication of BITA grafting among diabetic patients

Improvement estimating of project cost and design for a hospital project by using (3D&5D) simulation

Building Information Modeling (BIM) is an approach of managing and generating building data during its life cycle, dimensional (2D) drawings and later developed to (3D). The scope of BIM 3D, 4D, 5D, in this research 3D model to understand the process project special for beginner's engineers and give idea about all steps the project. 5D the cost component helps create estimates. Estimator is consuming 70% of a cost estimator’s time which required to a project. BIM can provide the capability to create takeoffs the materials, measurements and counts immediately from a model. Building Information models are also more and more used by Owners, Designers, Contractors and Engineer during the project lifecycle. Planning and cost estimation used in design phases for huge project to detect errors before start in the work , through account the time required to set up a hospital and reduce the time needed to build the project through overlapping relationships and getting shorter period to build the project utilizing MS Project software and to detect estimated 5D costing of total construction project, BIM can support cost estimating, the period spent by the estimator on quantification differ by project, using BIM for takeoff or cost estimating, the removal of manual takeoffs saves cost ,time and minimize potential for human error.

Developing the Knowledge Workers Model for Core Competencies Management in Iraqi Higher Education Institutions

This paper aims at developing the knowledge workers model for core competencies management via identifying the dimensions of the knowledge workers that are possibly related to the core competencies management. The primary motivations for the current research lies in those gaps represented of scientific and experimental studies in this scope, as well as for the purpose of increasing knowledge in this field. This theoretical research contributes to the development of the knowledge workers model based on its dimensions for core competencies management in Iraqi higher education Institutions. This research used quantitative approach by questionnaire was taken in collecting the data from the research community represented by some Iraqi higher education institutes samples that reached (256) questionnaires, which is about (80%), distributed to individually. The correlation coefficient (Spearman's) and Regression coefficient was relied on by using spss-ver.24. also the Knowledge-based Institutional theory was depended on explaining the results. The empirical analysis of the results was made using (Cronbach's alpha) to test the scales consistency of the validity of the consistency coefficient. The questionnaire was on a high consistency and validity. The results have largely supported the research model referring to the relationship of the knowledge workers have a good correlation and influence relationship in the core competencies management. Hence, this research could be of great use to the researchers, academics, professionals and policies makers

Developing the Knowledge Workers Model for Core Competencies Management in Iraqi Higher Education Institutions

This paper aims at developing the knowledge workers model for core competencies management via identifying the dimensions of the knowledge workers that are possibly related to the core competencies management. The primary motivations for the current research lies in those gaps represented of scientific and experimental studies in this scope, as well as for the purpose of increasing knowledge in this field. This theoretical research contributes to the development of the knowledge workers model based on its dimensions for core competencies management in Iraqi higher education Institutions. This research used quantitative approach by questionnaire was taken in collecting the data from the research community represented by some Iraqi higher education institutes samples that reached (256) questionnaires, which is about (80%), distributed to individually. The correlation coefficient (Spearman's) and Regression coefficient was relied on by using spss-ver.24. also the Knowledge-based Institutional theory was depended on explaining the results. The empirical analysis of the results was made using (Cronbach's alpha) to test the scales consistency of the validity of the consistency coefficient. The questionnaire was on a high consistency and validity. The results have largely supported the research model referring to the relationship of the knowledge workers have a good correlation and influence relationship in the core competencies management. Hence, this research could be of great use to the researchers, academics, professionals and policies makers

COVID-19 related complete blood count changes among asymptomatic pregnant women

Objective: To evaluate complete blood count (CBC) changes that suggest coronavirus disease-2019 (COVID-19) among asymptomatic pregnant women attending routine antenatal care Methods: A cross-sectional study included 187 healthy pregnant women who were attending the antenatal care clinic of a tertiary University hospital between March and June 2020. After a thorough history and examinations, a venous blood sample was taken from each participant for complete and differential blood counts. Those who showed CBC findings suggestive of COVID-19 were further scheduled for a nasopharyngeal swab for detection of SARS-CoV-2 specific antigens through polymerase chain reaction (PCR). Results: We found 5.3% (n=10) of the study population showed CBC changes that are suggestive of COVID-19. When they were scheduled for nasopharyngeal swab for a PCR confirmatory test, 30% (n=3) of them were PCR positive (which represented 1.6% of the entire study population). The most frequently encountered COVID-19-suggestive change in peripheral blood leukocyte differential counts was leucopenia (100%), followed by decreased eosinophil count (50%), then neutropenia and lymphocytopenia (30%). Conclusions: Certain differential leucocyte count changes (leucopenia, neutropenia, lymphocytopenia and decreased eosinophil count) among asymptomatic pregnant women might be related to COVID-19 infection and may indicate a need for further testing

Characteristics of Polymeric Fiber Reinforced Cementitious Composite (PFRCC) under Uniaxial Compression

This study aimed to evaluate the compressive characteristics and toughness of polymeric fiber reinforced cementitious composites (PFRCC). In the experimental program, polyvinyl alcohol (PVA) fibers were used to prepare two groups of PFRCC cylinders with different fiber contents. The main factor considered in this study was the reinforcing index. Several parameters were investigated, i.e. compressive strength, elastic modulus, strain at peak stress, Poisson’s ratio and toughness of PFRCC. The results revealed that there was a reduction in both compressive strength and elastic modulus as the reinforcing index increased, while a significant increase in the strain at peak stress was observed. Moreover, a comparison was made between different methods of toughness estimation and it was found that 7.9 was the best reinforcing index for PVA fibers  based on the energy absorption performance and ductility of PFRCC. Furthermore, an empirical model is proposed in this paper to predict the PFRCC-PVA compressive stress-strain curve. The proposed model features new formulas to calculate a number of important coefficients to plot the curve based on the reinforcing index value. Besides that, the model had good convergence compared to the experimental results, with perfect values for both variance and correlation coefficient

Synthesis, characterization and catalytic activity of Cu(II), Co(II), Ni(II), Mn(II) and Fe(III) complexes of 4-((3-formyl-4-hydroxyphenyl)diazenyl)-N-(4-methyloxazol-2-yl) benzenesulfonamide

The sulfonamide derivative, 4-((3-formyl-4-hydroxyphenyl)diazenyl)-N-(4-methyloxazol-2-yl) benzenesulfonamide (FDMB), was synthesized and characterized. Additionally, its Cu(II), Co(II), Ni(II), Mn(II) and Fe(III) complexes were prepared and their structures were investigated by elemental analysis, thermal analysis and (IR, electronic and EPR) spectroscopy. The mode of binding indicates that the ligand binds to the metal ion through carbonyl oxygen and OH phenolic with displacement of its proton. The Co(II) complex was applied for the hydrolysis of nerve agent-like compound, bis-(p-nitrophenyl) phosphate (BNPP). The results showed a significant rate enhancement of 2.5 million fold with respect to the auto-hydrolysis of BNPP under the same conditions

Large scale data analysis using MLlib

Recent advancements in the internet, social media, and internet of things (IoT) devices have significantly increased the amount of data generated in a variety of formats. The data must be converted into formats that is easily handled by the data analysis techniques. It is mathematically and physically expensive to apply machine learning algorithms to big and complicated data sets. It is a resource-intensive process that necessitates a huge amount of logical and physical resources. Machine learning is a sophisticated data analytics technology that has gained in importance as a result of the massive amount of data generated daily that needs to be examined. Apache Spark machine learning library (MLlib) is one of the big data analysis platforms that provides a variety of outstanding functions for various machine learning tasks, spanning from classification to regression and dimension reduction. From a computational standpoint, this research investigated Apache Spark MLlib 2.0 as an open source, autonomous, scalable, and distributed learning library. Several real-world machine learning experiments are carried out in order to evaluate the properties of the platform on a qualitative and quantitative level. Some of the fundamental concepts and approaches for developing a scalable data model in a distributed environment are also discussed

The Learning Experience of Iraq Middle-Aged Adult Learner in Online Undergraduate Degree

This paper has based an interview with an Iraq Middle-aged adult female to gain her experience at how she completed an online course in Iraq. The paper presents findings from a case study which explored insights of her experience in online English programme in Iraq. The research questions focused on why Middle-aged adult learners could carry on and complete the programme, what factors supported her completion of the programme, and which conditions seemed to slow down the process. Findings from the interviews suggest that interaction in the learning, accessibility of the programme and encouragement from others were some of the factors that facilitated the completion of the programme. However, multiple roles for female students, technology related problems and disappointment were some of the major challenges for completion of the programme. Keywords: online course; Middle-aged; adult learning; interviews

A New Synthesis of Copper Nanoparticles and Its Application as a Beta-Hematin Inhibitor

To prevent the development of drug resistance and unwanted side effects, nanomaterials have been studied for their potential to inhibit beta-hematin, an important protein for the survival of malaria parasites. The use of nanomaterials as a medication against parasites and mosquito vectors has recently shown promising drug therapeutic strategies. One of the newest areas of interest in nanotechnology and nanoscience is the environmentally friendly production of nanoparticles. Green synthesis to produce metal nanoparticles is the most important strategy to overcome the possible dangers of toxic chemicals for a safe and harmless environment. For this study, copper nanoparticles (CuNPs) were synthesized using Iraqi basil leaf extract, demonstrating its novelty in nanosciences. The formation of CuNPs can be seen visually as a color shift from green to brownish. UV-vis absorption spectra, Fourier transform infrared (FTIR), X-ray diffraction (XRD), energy dispersive X-ray (EDX), and scanning electron microscopy (SEM) were used to characterize the synthesized nanoparticles. The surface plasmon resonance property (SPR) of CuNPs is revealed by UV-vis analysis, which shows a distinctive absorption peak at 420–430 nm, whereas SEM reveals the spherical shape of CuNPs with sizes ranging from 30 to 50 nm