GRAPHENE-REINFORCED POLYMERIC NANOCOMPOSITES IN COMPUTER AND ELECTRONICS INDUSTRIES

Graphene is the newest member of the multidimensional graphite carbon family. Graphene is a two-dimensional atomic crystal formed by the arrangement of carbon atoms in the hexagonal network. It is the most rigid and thinnest material ever discovered and has a wide range of uses regarding its unique characteristics. It is expected that this material will create a revolution in the electronics industry. Graphene is a very powerful superconductor as the movability of charged particles is high on it, and additionally, because of the high surface energy and π electrons being free, graphene can be used in manufacturing many electronics devices. In this paper, the applications of graphene nanoparticles reinforced polymer nanocomposites in the computer and electronics industry are investigated. These nanoparticles have received much attention from researchers and craftsmen, because graphene has unique thermal, electrical and mechanical properties. Its use as a filler in very small quantities substantially enhances the properties of nanocomposites. There are various methods for producing graphene-reinforced polymer nanocomposites. These methods affect the amount of graphene dispersion within the polymer substrate and the final properties of the composite. The application and the properties of graphene-reinforced polymer nanocomposites are discussed along with examples of results published in the papers. To better understand such materials, the applications of these nanocomposites have been investigated in a variety of fields, including batteries, capacitors, sensors, solar cells, etc., and the barriers to the growth and development of these materials application as suggested by the researchers are discussed. As the use of these nanocomposites is developing and many researchers are interested in working on it, the need to study and deal with these substances is increasingly felt

ACCEPTANCE OF CLOUD COMPUTING IN AN AIRLINE COMPANY BASED ON ROGER’S DIFFUSION OF INNOVATION THEORY

As using cloud computing develops, one of the problems that managers face at the organization level is that the personnel cannot work with these systems, users do not accept these new systems and the problem of accepting these technologies, effective factors in accepting them and the existing barriers in accepting them by users are very important. In many organizations wherein cloud computing has been launched, a time period is required to accept this new system by their personnel. If this time period is less and the personnel can work with these systems earlier, the productivity increases in the organization. The present paper aims the analysis of effective factors on acceptance of cloud computing by personnel working in Birjand International Airport in South Khorasan County (Iran) based on Roger’s diffusion of innovation theory. Examination of effective factors on acceptance of cloud computing in an organization can pave the way for improving its implementation and performance. This research has been done by descriptive survey method and its community includes personnel working in different official and informatics departments of Birjand International Airport. The data gathering instrument was questionnaire and for determining questionnaire validity opinions of masters and for determining consistency Cronbach's alpha has been used. For data analysis descriptive and inferential statistics have been used. The results of present paper indicated that there is meaningful and positive relationship between acceptance features of cloud computing and perception elements of testability, comparative advantage, visibility, complexity, and compatibility of cloud computing with its acceptance rate and there is meaningful and negative relationship between features of perception of not needing cloud computing and its acceptance rate. But there was no meaningful relationship between perception of cloud computing test opportunity and its acceptance rate. As one of the modern ways of providing electronic service has been cloud computing in recent years and it has many benefits for air transportation systems, this paper presents a model for analysis of effective factors in acceptance of cloud computing among personnel of an airline company (airport) and it can be used for examining cloud acceptance in other air companies

Marble Slabs Classification System Based on Image Processing (Ark Marble Mine in Birjand)

Marble is one of the semi-precious stones that has been used in decorating building façade and making decorative things. This stone is present in the nature in the form of rock or layered stone. Examining the kind of stone, extent of impurity and different streaks in white marble is a widely confronted subject by those who are involved in this industry. Obtaining the extent of impurity of white marble using methods of detecting and analyzing material is expensive and time-consuming. In this research carried out on while marbles of Arc Mine in Birjand, it has been attempted to present very fast method using Image Processing Techniques so that while preserving identity and appearance of stone and without any damage to it, we compute the impurity level and different streaks on white marble surface. The proposed method includes two stages; in the first stage applying image processing functions, it is attempted to segment the present impurities and streaks on marble surface from the stone background and in the second stage, the area of these impurities and streaks is computed. Results obtained in this paper (97.8%) in comparison with other researches and experimental methods indicate acceptability of this algorithm

Rheumatoid Arthritis Flare-ups Following Immunization with Sinopharm Inactivated Virus-based COVID-19 Vaccine

Introduction: This study aimed to investigate the incidence of rheumatoid arthritis (RA) flare-ups following immunization with the Sinopharm COVID-19 inactivated virus-based vaccine. Methods: We conducted a retrospective observational study at the Rheumatology Clinic of Imam Hossein Hospital, incorporating 200 RA patients in remission undergoing non-biologic Disease-Modifying Antirheumatic Drugs (DMARDs) treatments. A rheumatologist confirmed a flare-up based on patients complain of arthralgia and joint stiffness and complete examination of joints over a three-month period following vaccination. Results: Twelve percent of all included patients experienced symptom recurrence. The average age of patients with flare-ups was significantly higher, but no gender-based differences were observed (p<0.001 and p=0.071, respectively). The second vaccine dose resulted in a higher number of symptom flares compared to the first dose (9.30% vs. 3.0%, p < 0.001). No significant differences were observed between patients experiencing flare-ups after the first dose and the second dose in terms of the number of involved joints (p=0.321) and the time gap from vaccination to symptom recurrence (p=0.526). No patients required hospitalization, and prednisolone dosage adjustments effectively managed symptoms. Conclusion: The occurrence of flare-ups was relatively low after the Sinopharm COVID-19 vaccination in RA patients undergoing treatment with DMARDs during remission. The majority of these flares were mild and no hospitalizations were required

MEDICAL IMAGE TEXTURE SEGMENTATION USINGRANGE FILTER

Medical image segmentation is a frequent processing step in image understanding and computer aided diagnosis. In this paper, we propose medical image texture segmentation using texture filter. Three different image enhancement techniques are utilized to remove strong speckle noise as well enhance the weak boundaries of medical images. We propose to exploit the concept of range filtering to extract the texture content of medical image. Experiment is conducted on ImageCLEF2010 database. Results show the efficacy of our proposed medical image texture segmentation

Histological effects of chronic multiple stress on rat ovary

Background: Investigating effects of stress in animal models may suggest clinical treatments or prevention protocols for effects of stress in humans. Objective: The aim of this study was to determine the histological effects of chronic multiple stress on rat ovary. Methods: This experimental study was conducted in 18 adult female Wistar rats that were randomly divided into two equal groups in Qazvin University of Medical Sciences during 2014. The mice were exposed to different stress including food deprivation, water deprivation, immobility at 4ºc, forced swimming, and isolation for 10 days in the under stress group while the mice in the control group were kept in their cages without any intervention. After the intervention period, the mice were anesthesized, the ovary of the animals were removed and weighed, and the ovary samples were prepared for light microscopic study. The number and diameter of corpus luteum, and the number of antral and preantral follicles were determined using Image Tool software. Data were analyzed using T-test. Findings: The mean number and diameter of corpus luteum significantly reduced in the under stress group compared to the control group. The mean number of antral and preantral follicles significantly reduced in the under stress group compared to the control group. Conclusion: With regards to the results, it seems that chronic multiple stress can have negative effects on rat ovary by reducing the diameter and number of corpus luteum and the number of antral and preantral follicles. Keywords: Food Deprivation, Rats, Corpus Luteum, Ovarian Follicl