728 research outputs found
CBM Net-2 Adoption on Performance of Yoma Bank ( May Lwin Phyu, 2023)
No full textThe primary goals of this research are to investigate the influence that features
have on Yoma Bank's adoption of CBM Net-2 and to investigate the impact that Yoma
Bank's adoption of CBM Net-2 has on the firm's overall performance. Using structured
questionnaires, primary data are gathered from eighty operational-level personnel
working in both the Head office and the Yangon branch of the company. Secondary
data consists of things like the records kept by Yoma Bank, previously published
papers, earlier research papers, pertinent text books, and overseas studies conducted
through websites on the internet. There are four different types of features, including
intricacy, trialability, relative advantage, and compatibility. According to the findings
of this research, there is a substantial relationship between the relative advantage and
the level of complexity of CBM Net-2 adoption. According to the findings of the study,
the factor with the highest influence on CBM Net-2 adoption is relative advantage. As
a consequence of this, the responsible personnel at Yoma Bank should make an effort
to deliver the best possible service to their clients by introducing new products and
services based on their capacity to work with information technology. On the basis of
the technological advancements made by CBM Net, efforts should be made to cut back
on needless operational levels and increase the effectiveness of operations. We should
build better modern payment systems and implement a wide range of digital payment
methods and services to ensure that Myanmar's financial market infrastructure does not
lag behind that of the other countries in the region in a timely manner. This will ensure
that Myanmar does not miss out on the benefits that come with adopting CBM Net
How to multiply your child s intelligence = cara mengembangkan berbagai komponen kecerdasan/ May Lwin (dkk)
No full textx, 275 hal.: ilus.; 24 c
How to multiply your child s intelligence = cara mengembangkan berbagai komponen kecerdasan/ May Lwin (dkk)
No full textx, 275 hal.: ilus.; 24 c
Lupus, vaccinations and COVID-19: what we know now
No full textSevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2), the virus causing Coronavirus disease 2019 (COVID-19), has had a huge impact on health services, with a high mortality associated with complications including pneumonia and acute respiratory distress syndrome. Patients with systemic lupus erythematosus (SLE) are at increased risk of viral infections, and recent data suggests they may be at an increased risk of poor outcomes with COVID-19. This may be particularly true for those on rituximab or high dose steroids. A huge international effort from the scientific community has so far resulted in the temporary authorisation of three vaccines which offer protection against SARS-CoV-2, with over 30 other vaccines being evaluated in ongoing trials. Although there has historically been concern that vaccines may trigger disease flares of SLE, there is little convincing evidence to show this. In general lupus patients appear to gain good protection from vaccination, although there may be reduced efficacy in those with high disease activity or those on immunosuppressive therapies, such as rituximab or high dose steroids. Recent concerns have been raised regarding rare clotting events with the AstraZeneca/Oxford vaccine and it is currently unknown whether this risk is higher for those patients with secondary antiphospholipid syndrome. With the possibility of annual COVID vaccination programmes in the future, prospective data collection and registries looking at the effect of vaccination on SLE disease control, the incidence of COVID-19 in SLE patients and severity of COVID-19 disease course would all be useful. As mass vaccination programmes begin to roll out across the world, we assess the evidence of the use of vaccines in SLE patients and in particular vaccines targeting SARS-CoV-2.</p
CUSTOMER ATTITUDES TOWARDS INSURANCE PRODUCTS OF MYANMA INSURNACE ( May Lwin Khaing, 2019)
No full textThe purpose of this study is to identify the insurance products of Myanma Insurance and to analyze customer attitudes towards insurance products provided by Myanma Insurance. This study is a descriptive one. For primary data is collected with the help of structured questionnaires from the insured of Myanma Insurance and the secondary data is obtain from previous research papers and other related reports from Myanma Insurance and private insurance companies and websites. In this empirical research, 100 respondents from the insurer constituted the sample size. Data collection was carried out from June 2019 to August 2019. In order to analyze the customer’s attitude towards insurance products of MI, the five point Likert scale is used in this study. The survey questions were based on customer Cognition (Belief), Affection (Feeling) and Conation (Behavior). The results of the study indicate that both potential customers and customers are only vaguely aware and do not know in detail what the products actually meant. The study also shows that the female respondents, the age of less than 30 years respondents, graduate respondents and government employees respondents are more interested in insurance products. Monthly income less than 500,000 MMK are more insured. 86% of respondents purchased their policy out of self-interest than the other sources. The study also shows that 44% respondents are owned of Life Insurance products than other insurance products. And then mostly of customers were used insurance policy for covering unexpected losses by financially. This study was found that they were contributed for above 3 years. Most of customers are knowing life insurance products than the other insurance products. Therefore this study will become helpful for the improvement of positive attitude of customer towards insurance products in Myanma Insurance
The Effect of Supply Chain Management Practices on Organizational Performance in Furniture Distribution Companies in Yangon ( May Li Lwin, 2024)
No full textThis study aims to analyze the effect of supply chain management practices on
organizational performance and to analyze the indirect effect of supply chain management
practices on organizational performance through competitive advantage as a mediator in
furniture distribution companies in Yangon. This study focuses only on furniture firms that
are importing furniture parts and assembly in Myanmar, and distributing furniture products
to the Myanmar market. There are 100 furniture shops in Yangon. The sample size is 67 by
using Raosoft sample size calculator. A simple random sampling method is applied 67 out of
100 for selecting respondents. Online survey method structured questionnaires with a 5-point
Likert scale are used to collect the primary data. The study finds out that among the four
focused variables, CRM and supplier development practices have a positive and significant
effect on organizational performance. Regression results showed that CRM and supplier
development practices have positive and significant effects on organizational performance.
In the analysis of the effect of CRM and the effect of supplier development practices on
mediating competitive advantages, there are mediating effects of competitive advantages on
the relationship between CRM and supplier development practices and organizational
performance. Therefore, furniture distribution companies in Yangon should improve their
supply chain management practices to enhance to organizational performance
Identification and evaluation of green building assessment indicators for Myanmar
No full textTo accommodate its increasing population, the Myanmar government has planned to implement smart city projects in Yangon and Mandalay by 2021 and to build 1 million homes by 2030. However, such projected growth does not coincide with Myanmar’s current level of preparedness for sustainable development. Myanmar presently has no standards and specifications for green buildings; it solely relies on the adoption of those from overseas, which may not always be compatible with the unique context of Myanmar. Hence, this study was aimed to identify appropriate green building assessment indicators for Myanmar as an important first step for future rating system development. Nine categories and forty-eight criteria were initially identified by reviewing the widely adopted seven rating systems and investigating existing certified green buildings. The Fuzzy Analytic Hierarchy Process (Fuzzy AHP) was used to determine and rank the importance levels of the identified assessment indicators. Results showed that “energy efficiency” and “water efficiency” are the most crucial categories with weights of 17.48% and 13.95%, respectively. Compared to other rating system standards, “waste and pollution” was distinctively found as an important category for Myanmar. Energy-efficient architectural design was ranked as the highest priority among all criteria. These findings serve as a building block for the future development of a Myanmar green building rating system by revealing assessment categories and criteria that are most relevant to Myanmar’s built environment.No Full Tex
AnFlo: Detecting Anomalous Sensitive Information Flows in Android Apps
No full textSmartphone apps usually have access to sensitive user data such as contacts, geo-location, and account credentials and they might share such data to external entities through the Internet or with other apps. Confidentiality of user data could be breached if there are anomalies in the way sensitive data is handled by an app which is vulnerable or malicious. Existing approaches that detect anomalous sensitive data flows have limitations in terms of accuracy because the definition of anomalous flows may differ for different apps with different functionalities; it is normal for "Health" apps to share heart rate information through the Internet but is anomalous for "Travel" apps.
In this paper, we propose a novel approach to detect anomalous sensitive data flows in Android apps, with improved accuracy. To achieve this objective, we first group trusted apps according to the topics inferred from their functional descriptions. We then learn sensitive information flows with respect to each group of trusted apps. For a given app under analysis, anomalies are identified by comparing sensitive information flows in the app against those flows learned from trusted apps grouped under the same topic. In the evaluation, information flow is learned from 11,796 trusted apps. We then checked for anomalies in 596 new (benign) apps and identified 2 previously-unknown vulnerable apps related to anomalous flows. We also analyzed 18 malware apps and found anomalies in 6 of them
P117 Machine-learning derived characteristics associated with tapering TNF inhibitors in individuals with rheumatoid arthritis
No full textBackground/AimsTapering of TNF inhibitor (TNFi) drugs may be considered in some patients to reduce risks and costs. Selecting appropriate patients is not always straightforward and may be influenced by age, sex, comorbidity and disease activity state. We sought to identify predictors for dose tapering in a real-world clinical setting. Algorithmic extraction, selection and analysis of relevant patient sub-cohorts could enable identification of relevant predictors associated with TNFi dose tapering.MethodsOur institution has a Rheumatology Biologics database running prospectively for over 15 years. Our approach for patients with RA receiving TNFi has been to dose-taper by one third and then 50% if remission achieved (defined as DAS28<2.6 on two occasions more than 6 months apart with no corticosteroid use). Prescribing, disease activity scores and demographics were extracted using SQL along with comorbidity coding, pathology results and anthropometric data. Data were anonymised and analysed in Python 3.8 within our institutions’ Trusted Research Environment (TRE). Pandas, NumPy and StatsModels python packages were used for the analysis in Jupyter notebooks. 49 covariates were considered clinically relevant and included in the regression analysis. Recursive feature elimination (RFE) was performed using logistic regression (LR) with threshold p-value of 0.05. The primary outcome was tapering of TNFi, algorithmically identified by a temporal increase in dosing interval or decrease in dosage. To avoid multiple-drug confounding, only the most recent TNFi data was included for each patient.Results663 patients with RA were initiated on TNFi between 5th November 2001 and March 2nd 2020. 491 (74.1%) were female with a mean age of 65.5 (SD ± 14.2) years. 261 (39.4%) received adalimumab, 209 (31.5%) etanercept, 74 (11.2%) infliximab, 82 (12.4%) certolizumab and 37 (5.6%) golimumab. Concurrent methotrexate (MTX) was seen in 34.5% (n = 22), either oral or subcutaneous. There was no change in the likelihood of tapering associated with depression, hypothyroidism, obesity, smoking or seropositivity for RF or anti-CCP. Those taking MTX were more likely to taper their biologics (OR 3.33, 95%CI 1.83-6.09, p = <.000), as were patients who were coded as having type 1 or 2 diabetes (7.4% n = 49, OR 3.23, 95%CI 1.32-8.25, p = 0.011), Higher DAS28 CRP score (OR 0.548, 95%CI 0.38-0.78, p = 0.001), and DAS 28 ESR score (OR 0.71, 95%CI 0.53-0.95, p = 0.021) significantly decreased chance of tapering.ConclusionConcurrent methotrexate use increases likelihood of subsequent tapering in patients with RA receiving TNFi. Unexpectedly, patients with diabetes were also more likely to taper, however due to low numbers of patients in this group and the width of confidence intervals this should be interpreted cautiously. As expected, patients with high disease activity scores were less likely to taper. This algorithm driven approach produced results largely in keeping with clinical intuition, however these methods may aid in future selection of tapering cohorts.</p
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