RNAsnap™ is a simple and novel method that recovers all intracellular RNA quantitatively (>99%), faster (<15 min) and less expensively (∼3 cents/sample) than any of the currently available RNA isolation methods. In fact, none of the bacterial RNA isolation methods, including the commercial kits, are effective in recovering all species of intracellular RNAs (76–5700 nt) with equal efficiency, which can lead to biased results in genome-wide studies involving microarray or RNAseq analysis. The RNAsnap™ procedure yields ∼60 µg of RNA from 108 Escherichia coli cells that can be used directly for northern analysis without any further purification. Based on a comparative analysis of specific transcripts ranging in size from 76 to 5700 nt, the RNAsnap™ method provided the most accurate measure of the relative amounts of the various intracellular RNAs. Furthermore, the RNAsnap™ RNA was successfully used in enzymatic reactions such as RNA ligation, reverse transcription, primer extension and reverse transcriptase–polymerase chain reaction, following sodium acetate/ethanol precipitation. The RNAsnap™ method can be used to isolate RNA from a wide range of Gram-negative and Gram-positive bacteria as well as yeast.

This study investigates the role of governance in inclusive human development in the case of twenty-four selected Asian countries, using panel data for the time period from 2010 to 2017. The inequality-adjusted human development index, developed by the United Nation Development Program, has been used as a proxy for inclusive human development. In addition, six indicators of governance have been used as independent variables in a regression model, along with three control variables. We have tested the stationarity of our data using panel unit root tests such as Leviv-Lin-Chu and Augmented Dickey Fuller. The Pearson correlation matrix helps us find out the correlation among variables. The findings show a mixed level of correlation among the variables (i.e., high, low, and moderate). Furthermore, our results show that a strong causal relationship among the variables exists. One of the most important findings is that there is bi-directional causality between the inclusive human development index (IHDI) and development expenditure. The IHDI causes more government investment in development projects, whereas more development expenditure in the country achieves a higher IHDI. Trade openness and development expenditure have a bi-directional causal relationship. Finally, economic governance causes political governance in the case of our selected Asian countries.

The existence of the Ricardian Equivalence Hypothesis (REH) in the case of the Group of Seven (G7) and the South Asian Association of Regional Cooperation (SAARC) nations is investigated in this study. The objective of this study is check the idea that combining the cases of industrialized and emerging economies will demonstrate REH. General Government Revenue, Government Budget Deficit, General Government Gross Debt, Household Final Consumption Expenditure, Disposable Income, General Government Total Expenditure, and Wealth are all measured using a panel data set from 2001 to 2021.Five distinct unit root tests were used to validate the stationarity of selected variables. Considering the Hausman test, researcher estimate the random effect model before Panel Least Squares (PLS). The Wald test has rejected all restrictions applied to verify the presence of REH in developed and emerging economies after applying PLS. According to the Findings the Fiscal policy should be one of the stabilizing measures in this understudied economic world to regulate income and expenditures.

This study examines the relationship between inflation, Money supply, interest rate and unemployment in Pakistan using annual time series data from 1987 to 2019. Inflation is used as the dependent variable and money supply (M2), unemployment and interest rate as the independent variable. Discount rate is used as the proxy of the interest rate. The results of ADF unit root test shows that variables have different order of integration. The study used ARDL cointegration approach to test the long run and short run for the existence among the variables. The results found that there is long run as well as short run relationship among the variables.

The study interviewed 100 households in the Sargodha District of Pakistan's Punjab Province, which is the largest and most populated province. The study used a multistage sample process for sampling and interviewed male and female residents of the Sargodha district. The WEAI was calculated using Alkire and Foster's (2011) technique. The women empowerment agricultural index is used to assess women's empowerment. These five factors 5DE identifies the important areas where empowerment must be strengthened, whereas gender parity depicts the relative discrepancy between male and female members of the same family. For the Sargodha district, the Women Empowerment in Agriculture Index value is 0.61. It is calculated by taking 90% of the 5DE sub index value of 0.66 and adding 10% of the GPI value of 0. 68.