Integration of capacitive deionization and forward osmosis for high water recovery and ultrapure water production: concept, modelling and performance analysis.

Forward Osmosis (FO), a membrane desalination technology and Capacitive Deionization (CDI), an electrically operated desalination technology, are numerically integrated utilizing four different configurations for the high-water recovery rate and ultrapure water production from brackish water resource. To minimize the wastewater rejection, the CDI desorption stream is continuously fed to the FO unit, efficiently recovering the remaining freshwater. To produce ultrapure water, freshwater stream obtained from FO is provided to the CDI cell, which adsorbs the remaining dissolved solute particles.

Exploring the interwoven relationship: Property rights, financial freedom, government regulation, and stock market fluctuations in emerging economies - A novel system GMM perspective.

This study delves into the impact of formal institutions on stock market volatility within a selection of emerging economies. Specifically, it examines the role that formal institutions play in shaping this volatility. To accomplish our goal, we analyze panel data from 46 emerging nations spanning the years 2000-2019, utilizing system generalized method of moments (GMM), as well as random and fixed effect models for our estimations.

Exploring the impact of energy consumption on poverty in Pakistan: evidence from the asymmetric ARDL approach.

This research work contributes to the literature by examining the role of energy consumption in mitigating poverty via decomposing energy consumption into its positive and negative components, covering the period spanning from 1985 to 2017. To accomplish this objective, this study employs the nonlinear autoregressive distributed lag (NARDL) approach recently popularized by Shin et al., (2014).

COVID-19 pandemic and stock market performance: A comparative study of emerging economies.

The paper investigates the co-movement of COVID-19 pandemic and performance of stock markets of four emerging economies. The Quantile-on-Quantile regression model was applied to daily share prices of stock markets from March 13, 2020 to November 30, 2021 in these economies. The results indicate varied relationships across various quantiles of COVID-19 cases and share prices.

Impact of COVID-19 on China's business and economic conditions: the importance of quantile asymmetries.

China has remained a growth engine for the global economy for the last several years. In this study, we assess the impact of COVID-19 on China's business and economic conditions; employing the quantile-on-quantile (QQ) regression and the quantile causality approaches. These econometrics batteries suit our research postulation, as they are capable to delineate underlying asymmetries across the whole distribution, based on which we can infer whether the response of China's business and economic conditions towards COVID-19 is heterogenous or homogenous.

Effect of body weight at photostimulation on productive performance and welfare aspects of commercial layers.

Objective: Due to current selection practices for increased egg production and peak persistency, the production profile, age at maturity, and body weight criteria for commercial layers are constantly changing. Body weight and age at the time of photostimulation will thus always be the factors that need to be adequately addressed among various production systems. The current study was carried out to determine the effects of pullets' body weight (low, medium, and heavy) on their performance, welfare, physiological response, and hormonal profile.

Impact of COVID-19 and economic policy uncertainty on China's stock market returns: evidence from quantile-on-quantile and causality-in-quantiles approaches.

COVID-19 unexpectedly ensnared the entire world and wreaked havoc on global economic and financial systems. The stock market is sensitive to black swan events, and the COVID-19 disaster was no exception. Against this backdrop, this study explores the impact of COVID-19 and economic policy uncertainty (EPU) on Chinese stock markets' returns for the period spanning January 23, 2020 to August 04, 2021.

Energy mix with technological innovation to abate carbon emission: fresh evidence from Mexico applying wavelet tools and spectral causality.

The global warming issue arises from climate change, which draws scientists' attention toward cleaner energy sources. Among clean sources, renewables and nuclear energy are getting immense attention among policymakers. However, the significance of nuclear energy in reducing CO emissions has remained ambiguous, necessitating further research.

The impact of COVID-19 on the US renewable and non-renewable energy consumption: a sectoral analysis based on quantile on quantile regression approach.

The repercussions of the novel coronavirus (COVID-19) pandemic go well beyond health concerns, affecting virtually every aspect of our lives, including daily energy consumption. Therefore, this study explores the impact of COVID-19 on renewable and non-renewable energy consumption in the USA, which has been severely affected by the recent pandemic. We conducted a detailed analysis of the energy consumption demands of various sectors in response to the COVID-19 outbreak.

Activity of ethanolic extract of Eucalyptus globulus leaves against multi drug resistant poultry pathogens in broiler chicks.

The present study was designed to evaluate the antimicrobial activity of E. globulus leaves in broiler chicks. Total (n=255) day-old chicks were segregated into five groups i.

Phytochemical composition and In-vitro activity of ethanolic extract of Eucalyptus globulus leaves against multidrug resistant poultry pathogens.

Aim of the present study was to determine the In-vitro antibacterial activity of ethanolic extract of E. globulus leaves against common multidrug resistant poultry pathogens. Phytochemical analysis through HPLC revealed that kaempeferol (7.

Public Health Expenditures and Health Outcomes in Pakistan: Evidence from Quantile Autoregressive Distributed Lag Model.

Objective: The provision of healthcare facilities remains high on the manifesto of various political parties in Pakistan and healthcare spending has witnessed a significant surge in the last two decades that is expected to positively influence health outcomes in the country. Therefore, this research aims to explore the effects of healthcare expenditures on the actual health status of the masses in Pakistan for the period 1995Q1 to 2017Q1.

Methods: We apply the Quantile Autoregressive Distributed Lag (QARDL) approach for estimation purposes.