Lighting conditions in learning spaces can affect students’ emotions and influence their performance. This research seeks to verify the influence of classroom lighting on students’ academic performance under different conditions and measurement forms. The research method is based on the systematic review of research articles establishing case analyses characterizing lighting intensity and color temperature to determine ranges favorable to a higher level of attention and long-term memory. Also, this study shows relevant aspects of the cases representative of a sustainable solution and proposes a research model. The study found light intensity values between 350 and 1000 lux and color temperatures between 4000 and 5250 Kelvin that favor attention. Long-term memory reached the highest levels of measurement by analyzing different parameters sensitive to lighting conditions and questionnaires. In conclusion, it was demonstrated that an adequate light intensity and color temperature based on the greatest possible amount of natural light complemented with Light Emitting Diode (LED) light generates optimal lighting for the classroom, achieving energy efficiency in a sustainable solution and promoting student well-being and performance.

Mapping land use and land cover (LULC) is essential for comprehending changes in the environment and promoting sustainable planning. To achieve accurate and effective LULC mapping, this work investigates the integration of Geographic Information Systems (GIS) with Machine Learning (ML) methodology. Different types of land covers in the Lucknow district were classified using the Random Forest (RF) algorithm and Landsat satellite images. Since the research area consists of a variety of landforms, there are issues with classification accuracy. These challenges are met by combining supplementary data into the GIS framework and adjusting algorithm parameters like selection of cloud free images and homogeneous training samples. The result demonstrates a net increase of 484.59 km² in built-up areas. A net decrement of 75.44 km² was observed in forest areas. A drastic net decrease of 674.52 km² was observed for wetlands. Most of the wastelands have been converted into urban areas and agricultural land based on their suitability with settlements or crops. The classifications achieved an overall accuracy near 90%. This strategy provides a reliable way to track changes in land cover, supporting resource management, urban planning, and environmental preservation. The results highlight how sophisticated computational methods can enhance the accuracy of LULC evaluations.

The 19th century proved to be one of the most complicated periods in Spanish history for the Spanish Crown, as it faced both internal conflicts—the French War of Independence—and external conflict—the independence of what were its territories in most of America. France did not remain indifferent to this and always had a clear idea of where to draw the boundaries of what “belonged” to it. Thus, amid the wave of independence movements in the Spanish colonies, the French continued to produce rich cartography to establish these boundaries and settle their power over the new nations that were arising after the period of revolutions. The cartography of Rigobert Bonne, the last cartographer of the French king and the Revolution Era, and one of its disciples, Eustache Hérisson, represent the perfect witness to the changes over the borders of the Spanish colonies during the change of the century. This study aims to analyze such cartography, examine the rich toponyms it offers, and examine the changes in the boundaries created over time between both empires. The main cartography we will rely on will be that of Bonne, one of the most important cartographers of the 18th century, and his disciple Hérisson, a geographer engineer, who lived through the onset of the conflicts and always prioritized the French perspective and the interests of their nation.

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.

The objective of this study was to develop a model based on fuzzy rules to evaluate the effects caused by varying the dosages of two soil fertilizers (mineral and organic) on root diameter. Fuzzy logic is a method that presents a language, more appropriate to day-to-day life, as the sky is a bit cloudy. For the input variables of this system the mineral and an organic fertilizer were used, for the output the root diameter, in cm. After optimization of the input rules, it can be seen that for the application of the fertilizers (mineral and organic) the best dosages were from 15 to 60 and 20 to 60 g·m^-2, respectively. With this application of fuzzy rules in real data, it is possible to take these benefits to those involved in the production chain of radish, resulting in a reduction in the dosages of products and improving its final profitability.

In this study, optical and microwave satellite observations are integrated to estimate soil moisture at the same spatial resolution as the optical sensors (5km here) and applied for drought analysis in the continental United States. A new refined model is proposed to include auxiliary data like soil texture, topography, surface types, accumulated precipitation, in addition to Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) used in the traditional universal triangle method. It is found the new proposed soil moisture model using accumulated precipitation demonstrated close agreements with the U.S. Drought Monitor (USDM) spatial patterns. Currently, the USDM is providing a weekly map. Recently, “flash” drought concept appears. To obtain drought map on daily basis, LST is derived from microwave observations and downscaled to the same resolution as the thermal infrared LST product and used to fill the gaps due to clouds in optical LST data. With the integrated daily LST available under nearly all weather conditions, daily soil moisture can be estimated at relatively higher spatial resolution than those traditionally derived from passive microwave sensors, thus drought maps based on soil moisture anomalies can be obtained on daily basis and made the flash drought analysis and monitoring become possible.