The article considers an actual problem of organizing a safe and sustainable urban transport system. We have examined the existing positive global experience in both infrastructural and managerial decisions. Then to assess possible solutions at the stage of infrastructure design, we have developed the simulation micromodels of transport network sections of the medium-sized city (Naberezhnye Chelny) with a rectangular building type. The models make it possible to determine the optimal parameters of the traffic flow, under which pollutant emissions from cars would not lead to high concentrations of pollutants. Also, the model allows to obtain the calculated values of the volume of emissions of pollutants and the parameters of the traffic flow (speed, time of passage of the section, etc.). On specific examples, the proposed method’s effectiveness is shown. Case studies of cities of different sizes and layouts are implementation examples and possible uses proposed by the models. This study has shown the rationality of the suggested solution at the stage of assessing infrastructure projects and choosing the best option for sustainable transport development. The proposed research method is universal and can be applied in any city.

This article examines the female figures in Eileen Chang’s works, exploring their female consciousness in different social environments and historical backgrounds, as well as the influence of Eileen Chang’s legendary experiences on their formation. This article delves into the female consciousness depicted in Eileen Chang’s works, revealing her contributions to modern Chinese literature and social culture. The female consciousness in Eileen Chang’s works reflects her concern for the status of women and serves as a critique of patriarchal society and feudal culture. The female characters portrayed by Eileen Chang exhibit strong individuality and self-awareness, yet they still struggle to break free from the constraints of patriarchal society and feudal culture, losing themselves in the “foreign enclave society”. Eileen Chang’s legendary life greatly impacted the development of her female consciousness.

This study provides an evaluation of the environmental impact and economic benefits associated with the disposal of mango waste in Thailand, utilizing the methodologies of life cycle assessment (LCA) and cost-benefit analysis (CBA) in accordance with internationally recognized standards such as ISO 14046 and ISO 14067. The study aimed to assess the environmental impact of mango production in Thailand, with a specific focus on its contribution to global warming. This was achieved through the application of a life cycle assessment methodology, which enabled the determination of the cradle-to-grave environmental impact, including the estimation of the mango production’s global warming potential (GWP). Based on the findings of the feasibility analysis, mango production is identified as a novel opportunity for mango farmers and environmentally conscious consumers. This is due to the fact that the production of mangoes of the highest quality is associated with a carbon footprint and other environmental considerations.  Based on the life cycle assessment conducted on conventional mangoes, taking into account greenhouse gas (GHG) emissions, it has been determined that the disposal of 1 kg of mango waste per 1 rai through landfilling results in an annual emission of 8.669 tons of carbon. This conclusion is based on comprehensive data collected throughout the entire life cycle of the mangoes. Based on the available data, it can be observed that the quantity of gas released through the landfilling process of mango waste exhibits an annual increase in the absence of any intervening measures. The cost benefit analysis conducted on the life cycle assessment (LCA) of traditional mango waste has demonstrated that the potential benefits derived from its utilization are numerous. The utilization of the life cycle assessment (LCA) methodology and the adoption of a sustainable business model exemplify the potential for developing novel eco-sustainable products derived from mango waste in forthcoming time.

In this study, the authors propose a method that combines CNN and LSTM networks to recognize facial expressions. To handle illumination changes and preserve edge information in the image, the method uses two different preprocessing techniques. The preprocessed image is then fed into two independent CNN layers for feature extraction. The extracted features are then fused with an LSTM layer to capture the temporal dynamics of facial expressions. To evaluate the method's performance, the authors use the FER2013 dataset, which contains over 35,000 facial images with seven different expressions. To ensure a balanced distribution of the expressions in the training and testing sets, a mixing matrix is generated. The models in FER on the FER2013 dataset with an accuracy of 73.72%. The use of Focal loss, a variant of cross-entropy loss, improves the model's performance, especially in handling class imbalance. Overall, the proposed method demonstrates strong generalization ability and robustness to variations in illumination and facial expressions. It has the potential to be applied in various real-world applications such as emotion recognition in virtual assistants, driver monitoring systems, and mental health diagnosis.

Nigeria plays important roles in the overall socio-economic development of the entire African continent, including entrepreneurial activities. There is a less focus on the immersion of women and youths in playing participatory roles in digital entrepreneurship and digital technology innovation in order to boost the economic growth of the country. The primary objective of this study is to explore women and youths’ immersion, specifically in connection with digital entrepreneurship and digital technology innovation, for the purpose of fostering the growth of the economy. The methodology employed in this study is Critical Content Analysis (CCA) of cursory literature as an integral part of the qualitative method. The literature was sourced through different databases, such as library sources, journals, and the core collection of Web of Science (WOS), and the collections of studies used for analysis were between 2018 and 2023. The results demonstrated that small and medium enterprises (SMEs) play significant roles in digital entrepreneurship activities in the country. In addition, there are various entrepreneurship programmes in the country, such as the Youth Entrepreneurship Development Programme (YEDP), and there is awareness of the effectiveness and efficiency of digital entrepreneurship. In addition, the result further established that the use of digital technology is an important innovation for the success of digital entrepreneurship in the country. The study further indicated that five factors of women and youths’ immersion in entrepreneurship (perception and opportunities, business performance, digital adoption, skill acquisition, and enabling environment) can boost the growth of the economy in the country. In conclusion, the knowledge and skills of entrepreneurs are major drivers of wealth and job creations, with women and youths playing an active role in the overall entrepreneurship programmes. It is suggested that the stakeholders and actors in entrepreneurship should collaborate to foster the participation of women and youths in entrepreneurship programmes in the country.