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This study paper aims to evaluate the Phytochemical Composition, anti-obesity, anti-antipyretic and analgesic effect of Ephedra alata (Ea) extracts.

Obesity was induced in male Wistar rats through a high-fat/fructose diet (HF/FD). Control rats received a standard diet.

Results of this study showed that the Ea methanol extract (MEEa) exhibited a prominent selective inhibitory effect against lipase activity (IC50 = 1.29 mg/ml) as compared to water and ethyl acetate extracts (with IC50 = 1.63 and 1.89, respectively). Also, MEEa exert antipyretic and analgesic activities. In high-fat-high-fructose diet rats, the administration of MEEa inhibited lipase activity in the intestine, pancreas and serum by 53%, 40% and 53%, respectively. It was found to significantly decrease body weight by 20% (p = 0.09) and delay the absorption of triglycerides (TG), total cholesterol (TC), LDL-cholesterol (LDL-C) and increase HDL-cholesterol (HDL-C). In addition, MEEa efficiently decreased a-amylase activity in the intestine, pancreas and serum by 43%, 26% and 46%, respectively, and blood glucose level by 35% (p = 0.06).

To the best of the authors’ knowledge, this study demonstrates for the first time that MEEa are efficient in preventing obesity and hyperglycemia, pain and fever.

This paper aims to explore the significance of the 2011 uprisings in Tunisia for wider questions of democratization, interrogating in particular the question of the relationship between religion and politics in the aftermath of the revolutionary event. The political landscape emerging after the 14th of January Tunisian Revolution has witnessed the emergence of a new political class competing in the country’s first free democratic elections on October 23. The moderate Islamist Ennahda Party emerged victorious and obtained the majority of seats in the National Constituent Assembly. These developments in the revolutionary aftermath re-opened questions over the future of “secular Tunisia” and re-ignited the political struggle between modernist and traditionalist visions of society. As a result, religious actors have increasingly been taking to the streets alongside the general population via participation in public protests, creation of new unions and associations, presence in the media, militancy in new or pre-existent political parties, etc. In this context, this research focuses on the way in which the 2011 uprisings impacted on democratization by seeking to explain how and why religious leaders are re-emerging as influential figures in the political landscape of post-revolutionary Tunisia.

The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing countries because of their weak HC infrastructure and meagre resources. Hence, building the resilience of the HC system of such countries becomes essential. Therefore, this study aims to build a resilience-based model on the HC sector of Pakistan to combat the COVID-19 and future pandemics in the country.

The study uses a novel hybrid approach to formulate a model based on resilient attributes (RAs) and resilient strategies (RSs). In the first step, the multi-criteria decision-making (MCDM) technique, i.e. full consistency method (FUCOM) is used to prioritize the RAs. Whereas, the fuzzy quality function deployment (QFD) is used to rank the RSs.

The findings suggest “leadership and governance capacity” to be the topmost RA. Whereas “building the operational capacity of the management”, “resilience education” and “Strengthening laboratories and diagnostic systems” are ranked to be the top three RSs, respectively.

The model developed in this study and the prioritization RAs and RSs will help build resilience in the HC sector of Pakistan. The policymakers and the government can take help from the prioritized RAs and RSs developed in this study to help make the current HC system more resilient towards the current COVID-19 and future pandemics in the country.

A new model has been developed to present a sound mathematical model for building resilience in the HC sector consisting of FUCOM and fuzzy QFD methods. The main contribution of the paper is the presentation of a comprehensive and more robust model that will help to make the current HC system of Pakistan more resilient.

This paper aims to examine and compare extant literature on the application of multi-criteria decision-making (MCDM) techniques in humanitarian operations (HOs) and humanitarian supply chains (HSCs). It identifies the status of existing research in the field and suggests a roadmap for academicians to undertake further research in HOs and HSCs using MCDM techniques.

The paper systematically reviews the research on MCDM applications in HO and HSC domains from 2011 to 2022, as the field gained traction post-2004 Indian Ocean Tsunami phenomena. In the first step, an exhaustive search for journal articles is conducted using 48 keyword searches. To ensure quality, only those articles published in journals featuring in the first quartile of the Scimago Journal Ranking were selected. A total of 103 peer-reviewed articles were selected for the review and then segregated into different categories for analysis.

The paper highlights insufficient high-quality research in HOs that utilizes MCDM methods. It proposes a roadmap for scholars to enhance the research outcomes by advocating adopting mixed methods. The analysis of various studies revealed a notable absence of contextual reference. A contextual mind map specific to HOs has been developed to assist future research endeavors. This resource can guide researchers in determining the appropriate contextual framework for their studies.

This paper will help practitioners understand the research carried out in the field. The aspiring researchers will identify the gap in the extant research and work on future research directions.

To the best of the authors’ knowledge, this is the first literature review on applying MCDM in HOs and HSCs. It summarises the current status and proposes future research directions.