Objective(s): This study aims to evaluate the hardness of two commercially available cold cured acrylic resin material
(Vertex and PAN) when polymerized at different temperature in comparison to those polymerized by conventional
methods in air at 23C ± 5C.
Methodology: Eighty specimens, forty from cold cured acrylic (Vertex Type) and forty from cold cured acrylic (PAN
type) were prepared, flasking and packing procedure were done according to manufacturer direction and divided
according to processing as follow: 20 specimens (10 from Vertex type and 10 from PAN type) were processed in air for
two hours at 23C ± 5C under press (bench curing) as a control, and 60 specimens (30 from Vertex type and 30 from
PAN type) were processed by ivomat curing device containing water under air pressure 30 Pascal for 15 minutes at
different temperature: 40C, 60C, and 80C (10 specimens for each groups). All specimens were tested for hardness test
by shore D device.
Results: Result showed that cold cured acrylic type PAN (polymerized by elevated temperature 80˚C) show the
maximum value of hardness (88.696) followed by cold cured acrylic type vertex polymerized at 60˚C (88.471). While,
control group type PAN (polymerized at air bench) recorded the minimum value of hardness (81.83). All groups that
polymerized at high temperature: 40C, 60C, and 80C show the higher value of hardness in comparison to those
processed by conventional methods (at air bench) with significant and highly significant differences.
Recommendations: Studies need to study the effect of increasing time and pressure of curing process on the hardness
of cold cure acrylic material, also to study the effect of increasing temperature of curing on the other properties of
cold cure acrylic material.
A resume is the first impression between you and a potential employer. Therefore, the importance of a resume can never be underestimated. Selecting the right candidates for a job within a company can be a daunting task for recruiters when they have to review hundreds of resumes. To reduce time and effort, we can use NLTK and Natural Language Processing (NLP) techniques to extract essential data from a resume. NLTK is a free, open source, community-driven project and the leading platform for building Python programs to work with human language data. To select the best resume according to the company’s requirements, an algorithm such as KNN is used. To be selected from hundreds of resumes, your resume must be one of the best. Theref
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The aim of the present research is to identify the test wisdom and the preoccupation with learning and psychological tension among postgraduate students at the University of Samarra according to the variables of the department, gender, age, and employee or non-employee, and revealing the relationship between the test wisdom and the preoccupation with learning and psychological tension. The research sample consisted of (75) students randomly selected from postgraduate students at the college of Education. The researcher applies test –wisdom of (Mellman & Ebel) and measurement of preoccupation with learning prepared by (Al-zaabi 2013) also, the researcher used the scale of t
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