16 research outputs found
Deep Neural Network Based Model for Phishing-Sites Detection
The evolution of web has positivelytransformed the paradigm of communication,trading, and collaboration for the benefit ofhumanity. However, these benefits of the Web areshadowed by cyber-criminals who use the Web as amedium to perform malicious activities motivated byillegitimate benefits. Phishing is a growing threat toInternet users and causes billions of dollars indamage every year. The replicas of the legitimatesites are created and users are directed to that website by luring some offers to it. In this paper weintroduce a model of our ongoing research PhishingWebsite Detection for Advanced Persistent Threats.In this model we used deep neural network techniqueon some features of phishing sites
Reliable Office Communication Using RSA and SHA-1
In data and telecommunication, cryptography is necessary when communicating over untrusted medium. With the development of network and software technology, digital signature becomes more and more important for the e-communication .The data transferred on e-communication system must have the characteristic of anti-deniability, integrity and confidentiality. In cryptography, RSA is widely used algorithm for the public key cryptography. The SHA hash functions are a set of cryptographic secure hash functions .This paper proposes a reliable office communication based on RSA and SHA-1. This system is implemented by C#.Net programming language
Burnout Among House Officers in Myanmar: A cross-sectional study
Burnout can result in in a serious negative impact on a doctor's life, the quality of patient care, and the healthcare organization. This study aims to determine the prevalence of burnout and factors affecting burnout among the house officers in Myanmar
Production of Lactic Acid and lysine from Cassava Starch and Cassava Waste
The present research deals with the production of Lactic acid and lysine from Cassava Starch and Cassava Waste. Firstly the starch (10.5% yields) was extracted from cassava waste (pulp) and it was then converted to glucose syrup by enzymatic hydrolysis using α-amylase and aminoglucosidase enzymes. The concentration of glucose syrup (91.40% yield, based on raw cassava starch), (9% yield, based on cassava waste) could be determined as 3.02 mg in the prepared 5 mg/mL solution From cheese, Lactobacillus caseiwas isolated and identified, and it was applied for the fermentation of cassava glucose syrup at pH 5.5 and 8% inoculum level for 27h. The lactic acid was produced with different concentration of glucose syrup (2%, 4%, 6%, 8%, and10 %) at selected optimum conditions. The highest lactic acid content (0.045 g/mL) and highest yield productivity (1.125 g/mL of based on glucose syrup) were observed by using 4% of cassava glucose syrup, On the other hand, Corynebacteriim glutamicum was isolated from soil, and lysine was produced from the fermentation of glucose syrup with C. glutamicum. The highest lactic acid content (0.025 g/mL) and highest yield productivity (0.227 g/mL) based on glucose syrup were obtained
Preliminary Investigation of Water Level Fluctuation in Yemyet In
Wetlands are among the world's most productive environments. Meanwhile, they are also the most threatened ecosystems in the world. Yemyet In is located in Sagaing Township, also an important wetland and natural resource for its surrounding area in the Dry Zone area of Myanmar. There has an area of 28.5 square miles (18240 acres) in the period of flood and 23.15 square miles (14813 acres) in that of normal. Small changes in precipitation and stream inflows strongly affect the extent of the lake surface area. For times when there are no satellite images, it is difficult to determine the extent of the lake from observations. Water balance computations were performed to create a water-level series for Yemyet In
extending back in time. The water-balance computations confirm the crude Local people knowledge about historical lake status. It is found that if the average monthly precipitation is less than 2.45 feet during the wet season around Yemyet In, there is a risk that this shallow lake dries out in the dry season. This paper also conducts the fluctuation patterns of Water level and processes of fluctuation from the perspective of physical condition and human activitie
Are death and loss to follow-up still high in people living with HIV on ART after national scale-up and earlier treatment initiation? A large cohort study in government hospital-based setting, Myanmar: 2013-2016.
SETTING:Myanmar National AIDS Program has had significant scale-up of services and changes in CD4 eligibility criterion for ART initiation from 2013 to 2016. This study assessed early death within 6 months and attrition (death and loss to follow-up, LTFU) after ART initiation and their associated factors. DESIGN:A retrospective cohort study on people living with HIV (PLHIV >15 year of age) enrolled at three specialist hospitals in Yangon from 1st June 2013 to 30th June 2016. Cox regression was used to calculate hazard ratios (HRs) of early death and attrition. RESULTS:Of 11,727 adults enrolled, 11,186 (95%) were initiated on ART, providing 15,964 person-years of follow-up. At baseline, median age was 36 years [IQR: 30-43], 58% were men and median CD4 count was 151 cells/mm3 (IQR: 54-310). There were 733(6%) early deaths, 961(9%) total deaths and 1371 (12%) LTFU during the study period. Independent risk factors for early death were older age (41-50 and ≥51 years) [aHR 1.38, 1.07-1.78 and 1.68, 1.21-2.34], male (1.84, 1.44-2.35), low weight (2.06, 1.64-2.59), bedridden, (3.81, 2.57-5.66) and CD4 count ≤ 50 cells/mm3 (6.83, 2.52-18.57). In addition to above factors, high attrition was associated with an abacavir-based regimen. CONCLUSION:Although there was a low rate of early deaths, patients were being diagnosed late and there was a high attrition rate from specialist hospitals. Concerted effort is required to increase early diagnosis and ART initiation, and strengthen community systems for HIV care to achieve ambitious goal of ending AIDS epidemic by 2030