This study examines the determinants of stunting prevention among toddlers in fishing families residing in the coastal areas of Bengkulu City. Utilizing a mixed-method approach, the research combined survey data from 70 respondents and in-depth interviews with 11 informants. Findings indicate that health behavior and genetic factors from health status, alongside education level and occupation from socioeconomic status, play pivotal roles in stunting prevention. Consumption patterns, particularly the consistent provision of animal protein and vegetables in daily meals, significantly contribute to the absence of stunting cases in the studied population. However, limited fruit intake persists due to economic barriers. The study underscores the necessity of integrated strategies, including nutrition education, enhanced access to nutritious foods, and economic support for fishing families, to sustain stunting prevention in coastal communities.

Urbanization plays a crucial role in facilitating the integration of population growth, industrial development, economic expansion, and energy consumption. In this paper, we aim to examine the relationships between CO2 emissions and various factors including economic growth, urbanization, financial development, and energy consumption within Pakistan’s building sector. The study utilizes annual data spanning from 1990 to 2020. To analyze the cointegration relationship between these variables, we employ the quantile autoregressive distributed lag error correction model (QARDL-ECM). The findings of this research provide evidence supporting the presence of an asymmetric and nonlinear long-term relationship between the variables under investigation. Based on these results, we suggest the implementation of tariffs on nonrenewable energy sources and the formulation of policies that promote sustainable energy practices. By doing so, policymakers and architects can effectively contribute to minimising environmental damage. Overall, this study offers valuable insights that can assist policymakers and architects in making informed decisions to mitigate environmental harm while fostering sustainable development.

Abrupt changes in environmental temperature, wind and humidity can lead to great threats to human life safety. The Gansu marathon disaster of China highlights the importance of early warning of hypothermia from extremely low apparent temperature (AT). Here a deep convolutional neural network model together with a statistical downscaling framework is developed to forecast environmental factors for 1 to 12 h in advance to evaluate the effectiveness of deep learning for AT prediction at 1 km resolution. The experiments use data for temperature, wind speed and relative humidity in ERA-5 and the results show that the developed deep learning model can predict the upcoming extreme low temperature AT event in the Gansu marathon region several hours in advance with better accuracy than climatological and persistence forecasting methods. The hypothermia time estimated by the deep learning method with a heat loss model agrees well with the observed estimation at 3-hour lead. Therefore, the developed deep learning forecasting method is effective for short-term AT prediction and hypothermia warnings at local areas.

This paper revisits the analysis on the effect of cross-cultural awareness and self-efficacy, which are both significant constructs in today’s globalized world. People are expected to have both a high level of self-efficacy and a strong sense of cross-cultural awareness due to the growing frequency of cross-cultural interactions. For fields like education, psychology, and cross-cultural communication, it can be very crucial to comprehend how cross-cultural awareness affects self-efficacy. 60 relevant articles were found after a thorough assessment of the literature on the subject using thematic analysis of the CNKI and Google Scholar databases. Ten major themes were found in the review: 1) the cultivation of cross-cultural awareness, 2) the current situation of students’ cross-cultural awareness, 3) the importance of cross-cultural awareness, 4) the relationship between self-efficacy and academic achievement, 5) the relationship between learning self-efficacy and influencing factors, 6) the relationship between cross-cultural awareness and self-efficacy, 7) the relationship between self-efficacy and cross-cultural adaptation, 8) cultural factors affecting learning self-efficacy, 9) the effect of social environment on individual self-efficacy, and 10) the relationship between cultural expectations and self-efficacy. The findings of this review demonstrate how crucial cross-cultural understanding is to the growth of self-efficacy. The design of educational and training programs aiming at boosting cross-cultural knowledge and self-efficacy will also be significantly impacted by this review.