Articles

Progress in the development and adoption of technological innovations is instrumental in enhancing the efficiency of production systems across the globe. Through the introduction of cost-efficient and high-performing technologies, countries can both reduce the resource use intensity of their economies and boost the global supply of essential products. The focus of this study is to analyze the application of advanced machinery and mechanisms within the agricultural sector, a primary industry that acts as a major contributor to the gross domestic product (GDP) of many nations. Specifically, this paper provides an in-depth review of the latest impact assessments based on analytical and modeling tools conducted on agricultural machinery and production technologies. Our findings highlight the positive role played by scientific progress and innovation in driving the competitiveness, growth and improved sustainability of the agricultural sector. Over the years, advanced technologies have accelerated the development and modernization of machinery, equipment, and processes in farming. Typically, modern machinery and equipment have enabled large-scale production on farms, enhancing the cost-efficient use of both land and labor, as well as the capacity and timeliness in performing essential agricultural operations. The rapid diffusion of technical advancements has further contributed to resource savings, productivity growth, and the overall transformation of agricultural value chains. Accordingly, the implementation of appropriate enabling conditions is of vital importance in encouraging the widespread integration of technologies in agriculture, not only boosting productivity along the agri-food chain but also yielding widespread social, economic, and environmental benefits.

The aim of this article is to examine the impacts of Coronavirus Disease -19 (Covid-19) vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the world, progress and totally the economic impacts of vaccines and the impacts of emerging markets (EM) on achieving sustainable development goals (SDGs), including no poverty, good health and well-being, zero hunger, reduced inequality etc. The importance of emerging economies in reducing the harmful effects of the Corona has also been noted. We have tried to do experimental results and forecast daily new death cases from Feb-2020 to Aug-2021 in Iran using Artificial Neural Network (ANN) and Beetle Antennae Search (BAS) algorithm as a case study with econometric models and regression analysis. The findings show that Covid19 has had devastating economic and health effects on the world, and the vaccine can be very helpful in eliminating these effects specially in long-term. We observed that there is inequality in the distribution of Corona vaccines in rich countries compared to poor which EM can decrease the gap between them. The results show that both models (i.e., Artificial intelligence (AI) and econometric models) almost have the same results but AI optimization models can robust the model and prediction. The main contribution of this article is that we have surveyed the impacts of vaccination from socio-economic viewpoint not just report some facts and truth. We have surveyed the impacts of vaccines on sustainable development goals and the role of EM in achieving SDGs. In addition to using the theoretical framework, we have also used quantitative and empirical results that have rarely been seen in other articles.

The purpose of the study was to investigate the factors contributing to domestic violence in Koforidua in the New Juaben Municipality of Ghana. The population of the study consisted of 340 men selected from four communities in Koforidua. Purposive sampling technique 4 communities. Using the Krejcie and Morgan table, a sample size of 340 men were selected which is appropriate for a population of 3428 with an alpha level of 5 percent in a quantitative study. The selection was based on the fact that these communities registered the highest cases of domestic violence in the Municipality. The main instrument used for the study was structured questionnaire. Data analysed using SPSS (Statistical Product for Service Solution, version 20). Statistical tools such as frequency distribution tables, percentages, charts and cross tabulation was used. The frequency tables were used to give the summary of the data for easy understanding and comparison. The study revealed that men perceive that factors like show of power, exposure to domestic violence, poor communication in marriage, unemployment and poverty, control of women through discipline and women’s low academic achievement are the triggers of domestic violence in a marital relationship. The study recommended that effort ought to be put in place to unravel the mystery surrounding male supremacy over women at both institutional and community levels by DOVVSU, Gender Advocacy Groups and other institutions to benefit humanity and society at large.

Human life and survival on Earth depend on the exploitation of diverse resources, including water. Improper use of environmental resources will lead to pollution and destruction. As one of the most sensitive areas of the environment to which human life depends, water is exposed to a variety of environmental pollutants. The protection of the health of water resources has created the need for intervention and the use of legal and criminal solutions in organizing their use. Domestic penal policy in the field of legislation, inspired by the provisions of Sharia law, along with local and national considerations for the protection of water resources, has directly and indirectly affected the requirements of accession to international instruments and has enacted regulations on the protection of small water resources.