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This study examines the impact of renewable energy consumption on the added value of the agricultural sector in Algeria from 1990 to 2022, utilizing the ARDL and cointegration approach. The results reveal a cointegration between the variables; however, the positive and insignificant error correction coefficient indicates a lack of short-term adjustment, suggesting a long-term imbalance. The study highlights the significance of sustainable energy practices in improving agricultural productivity.

This study aims to estimate a model for forecasting the annual industrial production of pasteurized milk in Algeria using the Box-Jenkins methodology, applied to data from 1980 to 2022. The analysis concluded with the estimation of an Autoregressive Integrated Moving Average (ARIMA) model, specifically ARIMA (13, 1, 9), demonstrating reasonable accuracy with a MAPE of 21%. The model forecasts that the industrial production of pasteurized milk will increase to approximately 11,955,000 hectoliters by 2028.

This study aims to forecast livestock using the Box-Jenkins methodology, specifically applying it to a time series of annual livestock numbers in Algeria from 1990 to 2021. It concluded with the estimation of a forecasting model based on the Autoregressive Integrated Moving Average (ARIMA) approach, specifically ARIMA(0,1,1), which demonstrated good accuracy with a Mean Absolute Percentage Error (MAPE) of 10.40%. The forecast indicates an increase in livestock numbers during the period from 2022 to 2025.

This study explores the applications of block technology, particularly in the field of accounting. It aims to elucidate the diverse areas where B-chain is being utilized, with a focus on cloud accounting and e auditing. The research delves into the most significant modern applications of BTC being adopted by contemporary organizations. By investigating the opportunities and benefits, that block chain offers the accounting profession, the study provides valuable insights into how this transformative technology can streamline processes, enhance transparency, and improve overall efficiency within the accounting domain. The findings of this research will aid practitioners and academics in understanding the strategic advantages of embracing BTC technology in the evolving landscape of the accounting industry.

The research presents a qualitative investigation of a fractional-order consumer-resource system with the hunting cooperation interaction functional and an infection developed in the resources population. The existence of the equilibria is discussed where there are many scenarios that have been distinguished as the extinction of both populations, the extinction of the infection, the persistence of the infection, and the two populations. The influence of the hunting cooperation interaction functional is also investigated where it can influence the existence of equilibria and their stability. A proper numerical scheme is used for building a proper graphical representation for the goal of confirming the theoretical results.