The Effect of Using Modified Flask on the Porosity of Processed Heat- Cure Acrylic Resin

Porosity is an important property of acrylic resin material because it affect other properties like strength, esthetic and cause bacterial or fungal growth lead to unhealthy dentures. This paper Study the possibility of reducing the porosit

Study the Effect of Epoxy Additives on Some Physical Properties of Asphalt Cement

Abstract:In the series of study on the asphalt cement to improve properties of asphalt cement several polymers materials are used for this purpose. In this study Epoxy used at different percentage by weight (1, 2, 4 and 6) %. Epoxy was added in three cases, pure Epoxy and the other two cases were mixing of Catalyst-Epoxy by weight in the two ratio (1:3) and (1:4).The effect of additives on the asphalt cement properties are evaluated by penetration test (ASTM D-5)(10), softening point test (ASTM D-2398)(10), and Kinematics viscosity test (ASTM D-2170)(10). Temperature susceptibility of asphalt cement was evaluated by using Penetration viscosity number ( PVN ). The study shows that Epoxy, 1:3 Epoxy and 1:4 Epoxy additives have more effect on the physical properties of asphalt cement and make asphalt softer than original asphalt cement, the additives reduced the temperature susceptibility, but Epoxy have more reduction in the susceptibility of asphalt cement compared with 1:3 Epoxy and 1:4

Fast COVID-19 Detection from Chest X-Ray Images Using DCT Compression

Novel coronavirus (COVID-19) is a new strain of coronavirus, first identified in a cluster with pneumonia symptoms caused by SARS-CoV-2 virus. It is fast spreading all over the world. Most infected people will develop mild to moderate illness and recover without hospitalization. Currently, real-time quantitative reverse transcription-PCR (rqRT-PCR) is popular for coronavirus detection due to its high specificity, simple quantitative analysis, and higher sensitivity than conventional RT-PCR. Antigen tests are also commonly used. It is very essential for the automatic detection of COVID-19 from publicly available resources. Chest X-ray (CXR) images are used for the classification of COVID-19, normal, and viral pneumonia cases. The CXR images are divided into sub-blocks for finding out the discrete cosine transform (DCT) for every sub-block in this proposed method. In order to produce a compressed version for each CXR image, the DCT energy compaction capability is used. For each image, hardly few spectral DCT components are included as features. The dimension of the final feature vectors is reduced by scanning the compressed images using average pooling windows. In the 3-set classification, a multilayer artificial neural network is used. It is essential to triage non-COVID-19 patients with pneumonia to give out hospital resources efficiently. Higher size feature vectors are used for designing binary classification for COVID-19 and pneumonia. The proposed method achieved an average accuracy of 95% and 94% for the 3-set classification and binary classification, respectively. The proposed method achieves better accuracy than that of the recent state-of-the-art techniques. Also, the time required for the implementation is less

Covid-19 Detection Based on Chest X-Ray Images Using DCT Compression and NN

Covid-19 is a highly contagious virus spreading all over the world. It is caused by SARS-CoV-2. virus. Some of the most common symptoms are fever, cough, sore throat, tiredness, and loss of smell or taste. There are two types of tests for COVID-19: the PCR test and the antigen test. Automatic detection of Covid-19 from publicly available resources is essential. This paper employs the commonly available chest x-ray (CXR) images in the classification of Covid-19, normal and viral pneumonia cases. The proposed method divides the CXR images into subblocks and computes the Discrete Cosine Transform (DCT) for every subblock. The DCT energy compaction capability is employed to produce a compressed version for each CXR image. Few spectral DCT components are incorporated as features for each image. The compressed images are scanned by average pooling windows to reduce the dimension of the final feature vectors. A multilayer artificial neural network is employed in the 3-set classification. The proposed method achieved an average accuracy of 95 %. While the proposed method achieves comparable accuracy relative to recent state-of-the-art techniques, its computational burden and implementation time is much less

Design and implementation of 2.6 GHz Phase shift using microstrip technology for mobile broadband application

This paper evolves transmission line phase shifting to optimize system cost. The design of a 1 x 2 microstrip (patch) array antenna which has an operating frequency of 2.6 GHz. Substrate FR4 dielectric with dielectric constant of 4.4 and thickness of 1.6 mm is utilized in array design. The study is performed in four steps: Firstly, through simulating radiation pattern on CST by altering two independent parameters; Spacing between patches and differential length of transmission line from source to each patch antenna. Secondly, a fabrication has been done on a sample deferential length to two ports that simulating two microstrip (patch) antennas array. Thirdly, testing of radiation fields has been performed to verify the correlation between actual records and the simulated designed antenna phase shifting. Fourth and finally, A comparison of results has been included between this paper results and previous works in sake of showing the introduced effort added value

Applications of Compound Nanotechnology and Twisted Inserts for Enhanced Heat Transfer

Nanoadditives are a type of heat transfer enhancement techniques adopted in heat exchangers to improve the performance of industrial plants through improvement of the thermal properties of base fluids. Recently, various types of inserts with nanofluids are adopted to enhance the thermal performance of double pipe heat exchangers. In the current article, TiO2/water nanofluid with multiple twisted tape inserts was investigated as a hybrid enhancement technique of heat transfer in straight pipes. The investigations were carried out experimentally and numerically at Reynolds numbers varied from 5000 to 20,000. Using nanofluid with 0.1% TiO2 nanoparticles volume fraction demonstrated enhanced heat transfer with slight increase in pressure drop. Results are showing a maximum increase of 110.8% in Nusselt number in a tube fitted with quintuple twisted tape inserts with 25.2% increase in the pressure drop. However, as the article is representing a part of specified book on heat exchangers, the literature has been extended to provide sufficient background to the reader on the use of nanotech, twisted inserts, and hybrid of compound nanofluids and inserts to enhance heat transfer processes

Design and Fabrication a W-Shape Form Dual-Band Flexible Antenna For Biomedical Applications

This study suggests a dual band flexible antenna for use at 900 and 2450 MHz. With a footprint of 0.23 o, 0.120 o, and 0.0007 o, where o is the lowest resonance wavelength, the antenna is relatively tiny. The antenna is built from a straightforward geometrical structure consisting of a W-shaped serpentine structure supplied by a microstrip line and a partial ground plane utilizing the Defected Ground Structure (DGS) technology in order to achieve wide operational bandwidth. In order to boost resonance, an additional capacitor was inserted between the slots, creating a portable dual-band antenna. Several performance metrics\u27 findings and the ones that had been measured were compared. The antenna\u27s potential for rigid and flexible electronics is increased by its good size, bandwidth, gain, and radiation pattern

C-Reactive Protein in the Premature Rupture of the Membranes

Premature rupture of the membranes (PROM) defined as a rupture of membranes before onset of labor, which is one of the most complications of pregnancy that leads to significant maternal and neonatal morbidity and mortality. These complications depend on the gestational age to which it occurred. The aim of this study is to determine diagnostic value of CRP during pregnancy complicated by PROM. Retrospective study performed at Hamad Women's Hospital in Qatar. Data collected from files in the Medical Records over a two period from 27/11/2000 to 27/11/2002. One hundred and fifty cases were chosen and divided into: Group (la) 50 patients with PROM before 37 wks. Group (lb) 50 patients with PROM after 37 wks. Group (2) 50 patients as control. Statistical analysis showed high incidence of Oligohydroamnios and polyhydramnios in the group 1 compared with control Measurement of maternal blood CRP early before 37 weekindicated significant relation between the prevalence of premature rupture of the membranes, associated oligohydramnios with the incidence of positive results of CRP. We recommend that further investigations needed to document our data and to prove the beneficial effect of the test especially before 37 week of gestations.qscienc

Magnetostrictive materials for aerospace applications

Structural health monitoring of composite structures to detect barely visible damage is vitally important for the aerospace industry. This research has investigated amorphous magnetostrictive wires (Fe77.5Si7.5B15 and Co72.5Si12.5B15), as a possible solution to monitoring aerospace composites. The different amorphous wires were either embedded into the composite or epoxied on to the surface. How the wires effected the structure of the composite along with ultimate tensile strength was studied. Inductance measurements were used to study the strain within the composite, which provided a non-intrusive method of monitoring the composite