Urban public spaces are the interface of any city that could tell about the city’s dynamic and status quo. In addition, Urban public spaces play a pivotal role in shaping societies’ dynamics and can significantly affect conflict and peacebuilding initiatives. In a context marked by Conflict’s profound impact, this article aims to contribute to the knowledge base for informed urban interventions that foster positive interactions and reconciliation in post-conflict cities. The article seeks to explore the intricate relationship between urban spaces and their influence on war or to promote sustainable peacebuilding through investigating the various roles of the urban public spaces during the war and peacetimes via residents’ experiences of the diverse spaces’ functions that shaped the city’s status quo. In addition, considering the interplay of social dynamics, conflict history, and the mental spatial map of cities in public urban spaces can influence lasting peace or upcoming conflicts. This article focuses on Aleppo as a case study, understanding the positive and negative experiences from the residents’ perspective before and during the current war in Syria, and even distinguishes between two periods during the recent war, which are the active violence and after the end of the direct active violence, where it could inform the decision-makers and urban planners on the areas of focus while developing post-war urban public spaces to ensure its positive role in fostering peace and be able to deal with the social dynamic and the mental spatial map that developed along with the conflict history. The paper utilised a mixed-methods approach, encompassing a case study review of Aleppo City from an urban perspective and fieldwork involving focus group discussions and semi-structured interviews with Aleppian from different backgrounds and geographic areas that represent the social dynamic of the city, as well as approached Aleppian who are still in living in the city and those who flee out of it to ensure the coverage of different political direction in addition field work engaged with academia and technical from the city who shared their knowledge and experiences working in the city. Participants were prompted to reflect on their pre-war familiarity with public places and share their experiences. These experiences were categorized by enabling a comprehensive understanding of how conflict context influenced these spaces. The article results offer an understanding of the peace-guiding functions of the urban public spaces based on the city residents’ experiences that could inform architects and urban planners in designing spaces conducive to sustainable peacebuilding. The article’s findings underscore the importance of strategically designed urban public spaces in promoting peace and social cohesion.

Due to the gradual growth of urbanization in cities, urban forests can play an essential role in sequestering atmospheric carbon, trapping pollution, and providing recreational spaces and ecosystem services. However, in many developing countries, the areas of urban forests have sharply been declining due to the lack of conservation incentives. While many green city spaces have been on the decline in Thailand, most university campuses are primarily covered by trees and have been serving as urban forests. In this study, the carbon sequestration of the university campuses in the Bangkok Metropolitan Region was analyzed using geoinformatics technology, Sentinal-2 satellite data, and aerial drone photos. Seventeen campuses were selected as study areas, and the dendrometric parameters in the tree databases of two areas at Chulalongkorn University and Thammasat University were used for validation. The results showed that the weight average carbon stock density of the selected university campuses is 46.77 tons per hectare and that the total carbon stock and sequestration of the study area are 22,546.97 tons and 1402.78 tons per year, respectively. Many universities in Thailand have joined the Green University Initiative (UI) and UI GreenMetric ranking and have implemented several campus improvements while focusing on environmental concerns. Overall, the used methods in this study can be useful for university leaders and policymakers to obtain empirical evidence for developing carbon storage solutions and campus development strategies to realize green universities and urban sustainability.

This study investigates the performance assessment of methanol and water as working fluid in a solar-powered vapour absorption refrigeration system. This research clarifies the system’s performance across a spectrum of operating conditions. Furthermore, the HAP software was utilized to determine and scrutinize the cooling load, facilitating a comparative analysis between software-based results and theoretical calculations. To empirically substantiate the findings, this research investigates methanol-water as a superior refrigerant compared to traditional ammonia- water and LiBr-water systems. Through experimental analysis and its comparison with previous research, the methanol-water refrigeration system demonstrated higher cooling efficiency and better environmental compatibility. The system’s performance was evaluated under varying conditions, showing that methanol-water has a 1% higher coefficient of performance (COP) compared to ammonia-water systems, proving its superior effectiveness in solar-powered applications. This empirical model acts as a pivotal tool for understanding the dynamic relationship between methanol concentration (40%, 50%, 60%) and system performance. The results show that temperature of the evaporator (5–15 ℃), condenser (30 ℃–50 ℃), and absorber (25 ℃–50 ℃) are constant, the coefficient of performance (COP) increases with increase in generator temperature. Furthermore, increasing the evaporator temperature while keeping constant temperatures for the generator (70 ℃–100 ℃), condenser, and absorber improves the COP. The resulting data provides profound insights into optimizing refrigerant concentrations for improved efficiency.

The financial services industry is experiencing a swift adoption of artificial intelligence (AI) and machine learning for a variety of applications. These technologies can be employed by both public and private sector entities to ensure adherence to regulatory requirements, monitor activities, evaluate data accuracy, and identify instances of fraudulent behavior. The utilization of artificial intelligence (AI) and machine learning (ML) has the potential to provide novel and unforeseen manifestations of interconnectivity within financial markets and institutions. This can be represented by the adoption of previously disparate data sources by diverse institutions. The researchers employed convenience sampling as the sampling method. The form was filled out over the period spanning from July 2023 to February 2024, and it was designed to be both anonymous and accessible through online and offline platforms. To assess the reliability and validity of the measurement scales and evaluate the structural model, we employed Partial Least Squares (PLS) for model validation. Specifically, we have used the software package Smart-PLS 3 with a bootstrapping of 5000 samples to estimate the significance of the parameters. The results indicate a positive and direct connection between artificial intelligence (AI) and either financial services or financial institutions. On the contrary, machine learning (ML) exhibits a strong and positive association among financial services and financial institutions. Similarly, there exists a positive and direct connection between AI and investors, as well as between ML and investors.

The paper demonstrates the importance of subnational data on housing to be systematically reported and added to country typologies. We asked which national and local level characteristics of housing regimes can serve as benchmarks for reasonable country groupings. The aim of this paper is to (1) develop a methodological tool enabling the comparison of conditions for housing policy implementation on national and subnational levels and (2) identify the group of countries where conditions for housing policy implementation on national and subnational levels tend to be comparable. This country classification can be used as a practical instrument for comparative analyses and policy learning. As a conceptual framework, we used the international comparative Housing research 2.0 launched by Hoekstra in 2020. For our analysis, we selected 15 basic factors that were tested in 24 European countries. We have identified three key factors having an impact on housing policy implementation: decentralisation level in housing, local budget housing expenditure and the information on which governance level has core competencies within housing. The numeric database has been run through a k-means cluster analysis. Five distinct types of countries with similarities in conditions for housing policy implementation on national and subnational level have been identified and described.