:Fetal weight is a very important factor to make a decision about labor and delivery. Assuming that in large fetuses, dystocia and other complications like cerebral edema, neurological damage, hypoxia and asphyxia may result during or after the delivery. On the other hand, one of the causes of high perinatal mortality in our country is high rate of low birth weight. Rural people may not have access to ultrasonography which is one of the methods to predict birth weight. For these people alternative easy method is necessary. So we can assess fetal birth weight by measuring symphysio-fundal height. Total 100 consecutive pregnant women of gestational age more than 32 weeks admitted for delivery in the Obstetric and Gynaecology department of Faridpur General Hospital were the subject of this study. After selection of cases, a thorough clinical history was taken and elaborate physical examination was done. Common criteria for collection of data were followed in every case. The fetal weight estimated by Johnson's formula was recorded in the predesigned data sheet and then was compared with birth weight following delivery of the fetus. Collected data were compiled and relevant statistical calculations were done using computer based software. Statistical tests (Correlation) were done between actual birth weight (taken as dependant variable) and fetal weight (found by Johnson's Formula), symphysio fundal height (SFH), pre-delivery weight and height of the patients (taken as independent variables) and the tests revealed that actual birth weight was significantly correlated with fetal weight (found by Johnson's Formula), SFH, pre-delivery weight and height of the patients. Among these fetal weight and SFH had shown highest correlation. Regression analysis showed that SFH, maternal height and maternal weight explained respectively 59%, .011% and .009% of observed variation of birth weight.
This study was conducted to evaluate the variability, trends, volatility, and transition patterns of rainfall in drought-prone northwest Bangladesh. Daily rainfall recorded at five stations for the period 1959–2018 were used for this purpose. Non-parametric tests of variability changes, a modified Mann–Kendall trend test, innovative trend analysis (ITA), a generalized autoregressive conditional heteroscedasticity (GARCH)–jump model, and a Markov chain (MC) were used to assess the variability changes, trends, volatility, and transitions in rainfall to understand the possibility of the persistence of droughts and their predictability. The results showed an overall decrease of variability in annual and seasonal rainfall, but an increase in mean pre-monsoon rainfall and a decrease in mean monsoon rainfall. This caused a decrease in pre-monsoon droughts, but few changes in monsoon droughts. The ITA and rainfall anomaly analysis revealed high temporal variability and, thus, rapid shifts in rainfall regimes, which were also supported by the volatility dynamics and time-varying jumps from the GARCH–jump model and the rapid changes in drought index from the MC analysis. Therefore, the lack of drought in recent years cannot be considered as an indicator of declining droughts in the region.
Nipah virus (NiV) is an ssRNA, enveloped paramyxovirus in the genus Henipaveridae with a case fatality rate >70%. We analyzed the NGS RNA-Seq gene expression data of NiV to detect differentially expressed genes (DEGs) using the statistical R package limma. We used the Cytoscape, Ensembl, and STRING tools to construct the gene-gene interaction tree, phylogenetic gene tree and protein-protein interaction networks towards functional annotation. We identified 2707 DEGs (p-value <0.05) among 54359 NiV genes. The top-up and down-regulated DEGs were EPST1, MX1, IFIT3, RSAD2, OAS1, OASL, CMPK2 and SLFN13, SPAC977.17 using log2FC criteria with optimum threshold 1.0. The top 20 up-regulated gene-gene interaction trees showed no significant association between Nipah and Tularemia virus. Similarly, the top 20 down-regulated genes of neither Ebola nor Tularemia virus showed an association with the Nipah virus. Hence, we document the top-up and down-regulated DEGs for further consideration as biomarkers and candidates for vaccine or drug design against Nipah virus to combat infection.
Now-a-days, patients' voice regarding the delivery of health care services is a burning question in the developing countries. It is thought that patients' perceptions towards health services are mostly ignored in these countries by the health service providers. This study, therefore, seeks the service quality factors which are essential to the patients. A field survey was made in this purpose on the heart disease patients in Dhaka city as this disease is very common in Bangladesh. SERVQUAL modeling approach and principal component analysis were considered to make evaluation over hospital facilities and found, overall, dissatisfaction of the patients. The SERVQUAL model is used to assess patients' expectations and perceptions regarding service quality in hospitals. Both expectations and perceptions are measured using a 5-point scale to rate their level of agreement or disagreement (1: strongly disagree and 5: strongly agree), on which the higher numbers indicate higher level of expectation or perceptions. Perceptions are based on the actual service they receive in hospitals are based on experiences and information received about hospital stuffs, doctors or overall hospital maintenance system. Service quality scores are obtained from the difference between the expectation and perception scores which range from -4 to +4 (-4: very dissatisfied, +4: very satisfied). The quality score measures the service gap, that is, the degree to which the expectations excels perceptions. Binary logistic regression analysis was used to find out significant covariates for occurring heart disease. Also, a Poisson regression model was performed for detecting potential covariates that affect number of hospital visit (s) per year of the heart disease patients. The study found ultimate dissatisfaction of the patients which brings the thought that a powerful managerial orientation might be launched in the hospitals to ensure quality services.
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