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In this paper, we discuss estimating the fuzzy parameters of the ExponentialRayleigh distribution using the Progressive Censored sample for the Rank Set method to become the proposed Rank Set Sampling estimation Method (RSSEM) in Censoring sample using the Newton-Raphson method to determine the parameter estimate values. Then utilizing Al Karkh General Hospital-Ministry of Health and Environment in Iraq for providing information about the actual data for COVID-19. To ascertain the Chi-square test was used. The distribution of the using sample is the Exponential-Rayleigh distribution. (ER). Then, we estimate the probability density function, hazard function, and survival function. To follow the estimation of the parameters and ER distribution's fuzzy parameters, we use the suggested approach. Moreover, to find the efficiency of the estimators, we use the mean square error of the survival function: [ABSTRACT FROM AUTHOR]

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Recent studies about effective leader behavior reveal that the ability of managers to perform a clear vision in daily work will strongly evoke employee learning behavior and consequently lead to higher green proactive behavior. This study investigate the direct and indirect effects of this visionary leadership towards both employee learning behavior and green proactive behavior. This survey using cross sectional design using data of 226 leaders were gathered from the Policy Makers in Peninsular Malaysia. The Statistical Package for the Social Sciences (SPSS) and SmartPLS are used to analyze the findings. The results show that learning behavior is able to act as an effective mediating variable in the relationship between visionary leadership (effective communication and feedback) with green proactive behavior. In conclusion, this study reports that a leader's ability to demonstrate effective visionary leadership can enhance employees' commitment to mastering new learning diligently. As a result, this learning behavior can also positively enhance green proactive behavior within the studied organization. [ABSTRACT FROM AUTHOR]

Healthy agricultural ecosystems underpin both environmental and societal sustainability. In January 2024, Argentina, Egypt, Ethiopia, Iran, Saudi Arabia, and the United Arab Emirates officially joined BRICS, expanding their crucial role in shaping global economies and sustainable development. To fully assess the current state of agroecosystem research in BRICS+ nations and gain an in-depth understanding of their contributions to the environmental domain, this study systematically examined the contributions of BRICS+ nations to agroecosystems using bibliometric methods. A total of 392 papers from the 2023 Web of Science database were comprehensively analyzed using tools of VOSviewer and Scimago Graphica. The criteria for data collection were the selection of English-language articles on agroecosystems from BRICS+ nations published in 2023. The key findings included enriching research by Chinese scholars, the highly cited article by Liu et al., the notable role of the China Agricultural University, College of Resources and Environmental Sciences, and the impact of Science of the Total Environment and Elsevier. The main research topics covered economic growth, agroecosystem management, healthy soil element cycling, and plant studies. Hot keywords included soil, rhizosphere, rice, fertilization, and use efficiency. This study provided a comprehensive and detailed framework for future research and contributed to the global sustainable development agenda. [ABSTRACT FROM AUTHOR]