This study aims to determine the effects of monosodium glutamate (MSG) dosage on the yield of long beans (Vigna sinensis L.) of the Peleton variety. The use of MSG as a food ingredient has been a topic of debate, but research on its impact on plant growth is still limited, especially regarding long beans. Therefore, this research is important for providing further understanding of the influence of MSG on long beans plants. The study was conducted from July to October 2023 in Mata Air Village, Central Kupang District, Kupang Regency, East Nusa Tenggara Province. The research method used was a Randomized Complete Block Design (RCBD) with 9 treatments and 3 replications. The treatments included: No MSG, MSG at doses of 2.5 g/plant, 5 g/plant, 7.5 g/plant, 10 g/plant, 12.5 g/plant, 15 g/plant, 17.5 g/plant, and 20 g/plant. Parameters observed included flowering age (days), number of pods (pieces), pod length (cm), and pod weight (g). Based on the results and discussion, it can be concluded that MSG application had a significant effect on the number, length, and weight of pods, but had a non-significant effect on flowering age. The treatment of 15 g/plant was identified as the optimal MSG dosage for the plants, resulting in the highest number of pods (16.2), longest pod length (60.4 cm), and highest pod weight (256.4 g/plant). This research is innovative in exploring the potential use of monosodium glutamate (MSG) on long beans plants, particularly the Peleton variety. The focus on MSG application as a growth stimulant is an innovative step that has been less studied previously. The discovery of the optimal MSG dosage (15 g/plant) for achieving the best results provides valuable information for farmers to enhance productivity efficiently, sustainably, and environmentally friendly. Information about MSG’s potential as a plant stimulant can serve as a starting point for more sustainable agricultural strategies aimed at optimizing available resources.

This study examined the impact of aluminium doping on the structural, electrical, and magnetic properties of Li_(0.5)Co_(0.75)Al_xFe_(2−x)O₄ spinel ferrites (x =0.15 to 0.60). The samples were synthesised using the sol-gel auto-combustion technique, and they were examined using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), dielectric measurements, and vibrating sample magnetometry (VSM). All samples possessed a single-phase cubic spinel structure with Fd-3m space group, according to XRD analyses. SEM images showed the creation of homogeneous particles with an average size of about 21 nm. All samples had spinel ferrite phases, confirmed from FTIR spectra. DC electrical conductivity studies showed that the conductivity increased with increasing aluminium content up to x = 0.45 before dropping at x = 0.60. The maximum saturation magnetization value was found at x = 0.45, according to VSM measurements, which demonstrated that the magnetic characteristics were strongly correlated with the amount of aluminium.

Background: The COVID-19 pandemic has had a substantial economic and psychological impact on workers in Saudi Arabia. The objective of the study was to assess the effects of the COVID-19 epidemic on the financial and mental well-being of Saudi employees in the Kingdom of Saudi Arabia. Purpose: The COVID-19 epidemic has resulted in significant economic and societal ramifications. Current study indicates that the pandemic has not only precipitated an economic crisis but has also given rise to several psychological and emotional crises. This article provides a conceptual examination of how the pandemic impacts the economic and mental health conditions of Saudi workers, based on contemporary Structural Equation Modeling (SEM) models. Method: The current study employed a qualitative methodology and utilized a sample survey strategy. The data was gathered from Saudi workers residing in major cities of Saudi Arabia. The samples were obtained from professionals such as managers, doctors, and engineers, as well as non-professionals like unskilled and low-skilled laborers, who are employed in various public and private sectors. A range of statistical tools, including Descriptive statistics, ANOVA, Pearson’s Correlation, Factor analysis, Reliability test, Chi-square test, and regression approach, were employed to analyze and interpret the results. Result: According to the data, the pandemic has caused a wide range of economic problems, including high unemployment and underemployment rates, income instability, and different degrees of pressure on workers to find work. Feelings of insecurity (about food and environmental safety), worry, dread, stress, anxiety, depression, and other mental health concerns have been generated by these challenges. The rate of mental health decline differs among demographics. Conclusions: The COVID-19 pandemic has universally affected all aspects of our lives worldwide. It resulted in an extended shutdown of educational institutions, factories, offices, and businesses. Without a question, it has profoundly transformed the work environment, professions, and lifestyles of billions of individuals worldwide. There is a high occurrence of poor psychological well-being among Saudi workers. However, it has been demonstrated that both economic health and mental health interventions can effectively alleviate the mental health burden in this population.

eGovernment projects are capital intensive and have high probability of failure because of the dynamic and technological laden environment in which they operate. The number of skilled labour and technicalities required are often not available in quantity needed to sustain such project. There is always the need to have in place adequate risk assessment framework to guide the execution and monitoring of eGovernment projects. Several studies have been conducted on the critical success factors relating to risk assessment of eGovernment projects to understand the reasons for the high rate of failure. Therefore, there is need to review these articles and categorize them into different research domain in project risk assessment so as to reveal domain with more or less research and those that need to understand the future research directions in risk assessment for eGovernment projects. Using the positivism paradigm, this study utilized the Systematic Literature Review methodology to collect 147 articles from the following academic databases namely IEEE, Preprints, WorldCat Discovery, ArXiv. Ohio-state University databases, Science Direct, Scopus, ACM, NWU digital library, Usenix, Jise database, Sagepub, MDPI Academia published between 2013 to 2023. Different inclusion and exclusion criteria were applied pruning to 48 articles that were used for the study. The results show the classification of articles in risk assessment for eGovernment projects into those that discusses project analysis, review, framework, maturity and model tools, implementation, and integration, applied methodology and evaluation with the percentage of articles published in each domain with the past 10 years. The various critical success factors that should be considered in the development of a robust risk assessment framework were discussed and future research directions in eGovernment risk assessment were given based on the reviews.

We examine the role of the North Aceh Government in implementing the Law on the Governing of Aceh (LoGA) as a legal structure in development policy. As a symbol of peace, the LoGA is a reference for accelerating development to alleviate poverty, including North Aceh as a conflict region. However, until now, the area remains the poorest in the province of Aceh. This research used descriptive qualitative methods, evaluating the local government’s performance as policymakers based on the Law by reconstructing policy theory (Easton) and legal system (Friedman). Our findings indicated that the local government needed help implementing LoGA to form development policies to solve poverty. This research suggested the importance of providing legal certainty in the distribution of authority, capacity building, and strengthening of political will for local government conducting its role.

More and more scholars are paying attention to the economic and environmental responsibilities undertaken by firms. Firm sustainability has become a hot topic in current research. This article aims to analyze the impact of various dimensions of digital green technology innovation on firm sustainability. The “digital green technology innovation” in this research is a new variable explored based on previous research, and the five dimensions of the variable are created based on the POLE theory. This research uses authoritative Chinese databases to collect data on various dimensions of digital green technology innovation and sustainable development of companies, and uses a fixed effects model for regression analysis. The results indicate that the implementation of various dimensions of digital green technology innovation will promote the firm sustainability. Moreover, in firms with strong profitability, this performance is significantly better than in those with weak profitability.