Dhaka University Journal of Science最新文献_第9页

Socio-economic and Demographic Risk Factors for Overweight or Obesity among Ever Married Women in Bangladesh: A Mixed Model Approach 孟加拉国已婚妇女超重或肥胖的社会经济和人口风险因素:混合模型方法

Dhaka University Journal of Science Pub Date : 2019-07-30 DOI: 10.3329/dujs.v67i2.54578

N. Sultana, Mirajul Islam

{"title":"Socio-economic and Demographic Risk Factors for Overweight or Obesity among Ever Married Women in Bangladesh: A Mixed Model Approach","authors":"N. Sultana, Mirajul Islam","doi":"10.3329/dujs.v67i2.54578","DOIUrl":"https://doi.org/10.3329/dujs.v67i2.54578","url":null,"abstract":"Overweight or obesity has adverse effects on health as the risk of diabetes and cardiovascular disease is very high among overweight or obese women. Even mortality rate among overweight and obese people is more than that of normal or underweight people. The risk of facing adverse maternal and fetal complications during pregnancy, delivery, and postpartum is higher among overweight/obese women. In Bangladesh, the percentage of overweight/obesity among ever married women which was only 9 percent in 2004 was found to be 24 percent in 2014. The main purpose of the study is to determine the responsible factors for the overweight or obesity among ever married women aged 15-49 years in Bangladesh. Data have been taken out from Bangladesh Demographic and Health Survey (BDHS), 2014 to serve this purpose. Since there are 600 clusters in BDHS data, cluster effects are taken into account to find the estimates of the regression parameters by applying mixed logistic regression model. The results obtained from the model show that women from poor family (OR = 0.69), living in Rangpur (OR=0.83) and Sylhet regions (OR = 0.66), currently working (OR = 0.79) and using modern contraceptive (OR = 0.88) are significantly less overweight/obese than women from middle class family, living in Dhaka region, currently not working and using contraceptive except modern type, respectively. On the other hand, women from urban residence (OR = 1.54), having education and educated husband, women from rich family (OR = 1.63), married women (OR = 1.48), older age, watching TV at least once in a week (OR = 1.35) and having two or three ever born children (OR = 1.31) are more overweight/obese than their respective counterpart. \u0000Dhaka Univ. J. Sci. 67(2): 85-90, 2019 (July)","PeriodicalId":11280,"journal":{"name":"Dhaka University Journal of Science","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77572618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model Selection Strategy for Cox Proportional Hazards Model Cox比例风险模型的模型选择策略

Dhaka University Journal of Science Pub Date : 2019-07-30 DOI: 10.3329/dujs.v67i2.54582

Fabiha Binte Farooq, Md Jamil Hasan Karami

引用次数: 0

Study of Pre-Monsoon Thunderstorms and Associated Thermodynamic Features Over Bangladesh Using WRF-ARW Model 利用WRF-ARW模式研究孟加拉国季风前雷暴及其相关热力特征

Dhaka University Journal of Science Pub Date : 2019-07-30 DOI: 10.3329/dujs.v67i2.54589

Pappu Paul, A. Imran, Md. Jafrul Islam, Alamgir Kabir, Sahadat Jaman, I. M. Syed

引用次数: 2

Efficient Generation of Gaussian Varaiates Via Acceptance-Rejection Framework 基于接受-拒绝框架的高斯变量高效生成

Dhaka University Journal of Science Pub Date : 2019-07-30 DOI: 10.3329/dujs.v67i2.54584

A. Sajib

{"title":"Efficient Generation of Gaussian Varaiates Via Acceptance-Rejection Framework","authors":"A. Sajib","doi":"10.3329/dujs.v67i2.54584","DOIUrl":"https://doi.org/10.3329/dujs.v67i2.54584","url":null,"abstract":"The Gaussian distribution is often considered to be the underlying distribution of many observed samples for modelling purposes, and hence simulation from the Gaussian density is required to verify the fitted model. Several methods, most importantly, Box-Muller method, inverse transformation method and acceptance-rejection method devised by Box and Muller1, Rao et al.7 and Sigman8 respectively, are available in the literature to generate samples from the Gaussian distribution. Among these methods, Box-Muller method is the most popular and widely used because of its easy implementation and high efficiency,which produces exact samples2. However, generalizing this method for generating non-standard multivariate Gaussian variates is not discovered yet. On the other hand, inverse transformation method uses numerical approximation to the CDF of Gaussian density which may not be desirable in some situations while performance of acceptance-rejection method depends on choosing efficient proposal density. In this paper, we introduce a more general technique by exploiting the idea invented by Wakefield9 under acceptance rejection framework to generate one dimensional Gaussian variates, in which we don’t require to choose any proposal density and it can be extended easily for non-standard multivariate Gaussian density. The proposed method is compared to the existing acceptance-rejection method (Sigman8 method), and we have shown both mathematically and empirically that the proposed method performs better than Sigman8 method as it has a higher acceptance rate (79.53 %) compared to Sigman (76.04 %) method. \u0000Dhaka Univ. J. Sci. 67(2): 123-130, 2019 (July)","PeriodicalId":11280,"journal":{"name":"Dhaka University Journal of Science","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75148629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comparison Study of Finding Efficient Methods for Generating Normal Random Numbers 寻找生成正态随机数的有效方法的比较研究

Dhaka University Journal of Science Pub Date : 2019-07-30 DOI: 10.3329/dujs.v67i2.54579

A. Sajib, Syeda Fateha Akter

引用次数: 0

A Comparison of the Black-Scholes Option Pricing Model and Its Alternatives Black-Scholes期权定价模型及其替代方案的比较

Dhaka University Journal of Science Pub Date : 2019-07-30 DOI: 10.3329/dujs.v67i2.54581

A. Hossain, Maliha Tasmiah Noushin, Kamrul Hasan

引用次数: 0

Structural and Electronic Properties of Adenine-Thymine Basepair : A Computational Study 腺嘌呤-胸腺嘧啶碱基对的结构和电子性质:计算研究

Dhaka University Journal of Science Pub Date : 2019-01-30 DOI: 10.3329/dujs.v67i1.54572

M. Alauddin, T. Debnath, M. Aziz

引用次数: 0

Determinants of Postnatal Care Utilization for the Newborns in Urban Slums of Bangladesh: A Study Based on Bangladesh Urban Health Survey Data 孟加拉国城市贫民窟新生儿产后护理利用的决定因素:基于孟加拉国城市健康调查数据的研究

Dhaka University Journal of Science Pub Date : 2019-01-30 DOI: 10.3329/dujs.v67i1.54575

Mirajul Islam, N. Sultana, M. M. Hasan

引用次数: 0

Numerical Solutions of Time Dependent Partial Differential Equations Using Weighted Residual Method With Piecewise Polynomials 用分段多项式加权残差法求解时变偏微分方程

Dhaka University Journal of Science Pub Date : 2019-01-30 DOI: 10.3329/dujs.v67i1.54566

Meraj Alam, Md. Shafiqul Islam

引用次数: 2

DFT and TD-DFT Study of [Tris(dithiolato)M]3- Complexes[M= Cr, Mn and Fe]: Electronic Structures, Properties and Analyses [Tris(dithiolato)M]3-配合物[M= Cr, Mn和Fe]的DFT和TD-DFT研究:电子结构、性质和分析

Dhaka University Journal of Science Pub Date : 2019-01-30 DOI: 10.3329/dujs.v67i1.54576

M. Matin, -. Mohammad Alauddin, T. Debnath, M. Islam, M. Aziz

{"title":"DFT and TD-DFT Study of [Tris(dithiolato)M]3- Complexes[M= Cr, Mn and Fe]: Electronic Structures, Properties and Analyses","authors":"M. Matin, -. Mohammad Alauddin, T. Debnath, M. Islam, M. Aziz","doi":"10.3329/dujs.v67i1.54576","DOIUrl":"https://doi.org/10.3329/dujs.v67i1.54576","url":null,"abstract":"Using Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TD-DFT) methods, transition metal complexes of benzene-1, 2-dithiolate (L2-) ligand from Cr to Fe have been studied theoretically. The ground state geometries, binding energies, UV-Visible spectra (UV-Vis), frontier molecular orbitals (FMOs) analysis, charge analysis and natural bond orbital (NBO) have been calculated. The structural parameters are in good accord with the experimental data. The metal-ligand binding energies are one (1) order of magnitude higher than the physisorption energy of a benzene-1, 2-dthiolate molecule on a metallic surface. In accordance with experiment the calculated electronic spectra of these tris complexes show bands at 565, 559 and 546 nm for Cr3+, Mn3+, and Fe3+ respectively which are mainly qualified to ligand-to metal charge transfer (LMCT) transitions. The electronic properties analysis demonstrate that the highest occupied molecular orbital (HOMO) is mostly centered on metal coordinated sulfur atoms whereas the lowest unoccupied molecular orbital (LUMO) is mainly located on the metal surface. By calculating natural bond orbital (NBO), the intramolecular interactions and electron delocalization was obtained. The results of NBO analysis illustrated the significant charge transfer from sulfur to central metal ions, as well as to the benzene of the complex. The calculated charges on metal ions are also reported at various charge schemes. The calculations show encouraging agreement with the available experimental data. \u0000Dhaka Univ. J. Sci. 67(1): 63-68, 2019 (January)","PeriodicalId":11280,"journal":{"name":"Dhaka University Journal of Science","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87354092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0