This article aims to present an analysis of the evolution and contributions developed and integrated into the corpus of Earth Jurisprudence from practice in seven (7) South American countries where 135 records were found between 2005 and 2023. The case study was carried out using the methodological approach of the qualitative approach, the hermeneutic method, and the documentary review technique. The unit of analysis was based on the recognition of rights to nature, the data and information organized according to legal/political provisions, the state, the actor that initiated the action, and the ecological actor involved. Among the most outstanding findings, it is evident that a large number of records are concentrated in Ecuador and Colombia. The first correlates with the constitutionalization of the rights of nature and coincides with the second as they have been part of the stream known as new Latin American constitutionalism. In addition, a notable jurisprudential development recognizes nature as a subject of rights and declares it a victim of the armed conflict. Bolivia, which also joined this emerging denomination, has a different tendency than it had in its beginnings, not as the two countries mentioned above have done. Brazil stands out for its considerable increase in such legislative recognition. Argentina has a stronger emphasis on animal law. Peru has an incipient contribution to some regulatory implementation. Finally, Chile, the most laggard, tries it with a new constitution that recognizes these rights without having the approval at the ballot box. It is concluded the need to elevate the rights of nature and animals to constitutional status, claiming indigenous and ancestral cosmogonies regionally since it includes a legal stability that would facilitate the work of judicial and legislative actors and decision-makers for developing public policies, which would contribute to the practical development of the new Latin American constitutionalism and the Earth Jurisprudence.

Photovoltaic systems have shown significant attention in energy systems due to the recent machine learning approach to addressing photovoltaic technical failures and energy crises. A precise power production analysis is utilized for failure identification and detection. Therefore, detecting faults in photovoltaic systems produces a considerable challenge, as it needs to determine the fault type and location rapidly and economically while ensuring continuous system operation. Thus, applying an effective fault detection system becomes necessary to moderate damages caused by faulty photovoltaic devices and protect the system against possible losses. The contribution of this study is in two folds: firstly, the paper presents several categories of photovoltaic systems faults in literature, including line-to-line, degradation, partial shading effect, open/close circuits and bypass diode faults and explores fault discovery approaches with specific importance on detecting intricate faults earlier unexplored to address this issue; secondly, VOSviewer software is presented to assess and review the utilization of machine learning within the solar photovoltaic system sector. To achieve the aims, 2258 articles retrieved from Scopus, Google Scholar, and ScienceDirect were examined across different machine learning and energy-related keywords from 1990 to the most recent research papers on 14 January 2025. The results emphasise the efficiency of the established methods in attaining fault detection with a high accuracy of over 98%. It is also observed that considering their effortlessness and performance accuracy, artificial neural networks are the most promising technique in finding a central photovoltaic system fault detection. In this regard, an extensive application of machine learning to solar photovoltaic systems could thus clinch a quicker route through sustainable energy production.

Papua, one of the provinces in Indonesia, is recognized for its limited infrastructure and high poverty rates. This limitation undoubtedly emphasizes the government’s special attention toward augmenting foreign and domestic investments by expanding industrial sectors to absorb more labor, thereby aiming to enhance the region’s economic performance. The focus of the study seeks to assess the extent to which foreign and domestic investments, industrial employment, and the proliferation of industries in Papua contribute to increasing the Gross Development Product (GDP) and reducing poverty. By employing secondary data from 2016 to 2022 and utilizing the Regression Data Panel method, it encompasses 29 districts. The findings reveal that domestic investment, employment in the industrial sector, and the number of industries significantly influence poverty rates. However, as conclusion, foreign investment, surprisingly, demonstrates no substantial impact on economic performance. This unexpected result might be attributed to issues linked with the inadequate quality of financial performance, which doesn’t align with the available investment funds. Utilizing the analytical network process (ANP), the study outlines two primary strategies. The first involves prioritizing investment expansion by focusing on both domestic and foreign investments. The second strategy emphasizes industrial revitalization through augmenting the number of industries and enhancing labor participation in the industrial sector.

This journal article aims to analyze the relationship between school culture and effective headteacher educational leadership, and how this relationship affects school performance and student learning outcomes. We will explore this important issue in depth and provide institutions and principals with practical advice on how to understand and use school culture to enhance the educational leadership of principals.

Increasing populations in cities have created challenges for the urban environment and also public health. Today, lacking sport participation opportunities in urban settings is a global concern. This study conceptualizes and develops a theoretical framework that identifies factors associated with effective urban built environments that help shape and reshape residents’ attitude toward sport activities and enhances their participation. Based on a comprehensive review of literature and by following the Stimulus-Organism-Response (SOR) theory and attitude change theory, a four-factor measurement model is proposed for studying urban built environment, including Availability, Accessibility, Design, and Safety. Further examinations are made on how these factors are channeled to transform residents’ attitudes and behavior associated with participating in sport activities, with Affordability as a moderator. Discussions are centered around the viability of the developed framework and its application for future research investigations.