In response to the challenges of climate change, this study explores the use of moringa pod powder as reinforcement in the manufacture of compressed earth bricks to promote sustainable building materials. The objective is to evaluate the impact of African locust bean pod powder on the mechanical properties of the bricks. Two types of soils from Togo were characterized according to geotechnical standards. Mixtures containing 8% African locust bean pod powder at various particle sizes (0.08 mm, 2 mm, and between 2 and 5 mm) were formulated and tested for compression and tensile strength. The results show that the addition of African locust bean pod reduces the mechanical strength of the bricks compared to the control sample without pods, with strengths ranging from 0.697 to 0.767 MPa, compared to 0.967 to 1.060 MPa for the control. However, the best performances for the mixtures were obtained with a fineness of less than 2 mm. This decrease in performance is attributed to several factors, including inadequate water content and suboptimal preparation and compaction methods. Optimizing formulation parameters is necessary to maximize the effectiveness of African locust bean pods. This work highlights the valorization of agro-industrial waste, paving the way for a better understanding of bio-based materials and future research for sustainable construction.

This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.

The linkages between adequate service delivery and sustainable development have been given a little academic attention in the South Africa’s local municipalities. For this reason, the achievement of sustainable development has been difficult which has culminated in the occurrence of service delivery protests. These service delivery protests have posed critical threats to social security thus affecting the possibility to achieve sustainable development in South Africa. the paper findings showed that the delivery of inadequate services to the citizens is triggered by the failure to equally include citizens in the process. One of the threats that the paper found is the fact that these service delivery protests have become a major issue and any move to solve them without citizen participation has been unsuccessful. The paper findings also showed that that the lack of adequate service delivery to the citizens causes human insecurities which in turn affect the achievement of sustainable development. This is because the occurrence of the service delivery protests deteriorates national economic growth and human growth. They affect foreign investors and international tourists by instilling fear in them and yet they are contributors to sustainable economic growth that leads to sustainable development. The findings of this paper also presented that the use of Artificial Intelligence (AI) technologies can increase citizen participation during service delivery. It is through the use of citizen participation that openness, transparency, accountability, and representation principles that promote the delivery of adequate services are possible. The paper found that using AI technologies would also foster trust between the service provider and service receiver needed for delivering adequate services, thus achieve sustainable development in South Africa.

As the second most polluting industry in the world, the fashion industry has a critical impact on the environment. The development of sustainable fashion is conducive to reducing the environmental pollution caused by the fashion industry. China has the largest consumer market in the world, and the Chinese government and major companies have made considerable contributions to the sustainable development of the fashion industry. However, research regarding young women’s attitudes towards this topic remains under-explored. This study interviewed 30 young women of different ages from different places in China. Based on the theory of planned behavior (TPB), a semi-structured interview was used as a data collection method, and thematic analysis was adopted for data analysis. This paper discusses young Chinese female consumers’ attitudes towards sustainable fashion and analyzes the motivating factors and hindrance factors affecting the consumption intentions of young Chinese female consumers towards sustainable fashion. The research found that young Chinese female consumers generally hold a positive and supportive attitude towards sustainable fashion. Consumers’ perceptions of sustainable fashion, their self-perceptions, and their level of green awareness all significantly impact their attitudes and purchase intentions toward sustainable fashion. Consumers feel low social pressure, and Chinese society demonstrates a high level of acceptance and praise for sustainable concepts. However, the lack of purchasing channels and choices for sustainable fashion in China and the high cost of sustainable fashion products discourage consumers from making purchases. This study will be beneficial as a reference when the Chinese government makes sustainable policies to guide consumers toward sustainable fashion consumption. This study helps enterprises select target markets in China and formulate sustainable fashion marketing strategies and targeted advertising. This study contributes to increasing consumer awareness of sustainable fashion, as well as providing reference and reflective value when consumers purchase sustainable fashion products. Finally, this study will help promote the development process of sustainable fashion in Chinese society, make contributions to reducing the waste of social resources, promoting the recycling of resources, and improving social conditions, and put forward specific solutions and feasible suggestions for the development of sustainable fashion in Chinese society.

In order to meet the Sustainable Development Goals (SDGs) of the United Nations and address the growing global concern for ecologically responsible activities, this study examines the role that French financial institutions play in financing a green future and promoting sustainable development (SD). Through semi-structured interviews with twelve participants from banks and Fintech companies, the research investigates their familiarity with green financing commitments to international organizations and associations, their views on the growth potential of green finance, and the provision of green finance products. Additionally, it explores the connection between green finance and its positive influence on SD. Data analysis was performed using NVivo 12. The findings highlight a strong commitment to green finance and sustainable practices among these institutions, emphasizing the significance of integration and utilization of green finance products across various sectors. This research emphasizes the crucial role of financial institutions in France in driving a greener and more sustainable future through green finance.