This study thoroughly examined the use of different machine learning models to predict financial distress in Indonesian companies by utilizing the Financial Ratio dataset collected from the Indonesia Stock Exchange (IDX), which includes financial indicators from various companies across multiple industries spanning a decade. By partitioning the data into training and test sets and utilizing SMOTE and RUS approaches, the issue of class imbalances was effectively managed, guaranteeing the dependability and impartiality of the model’s training and assessment. Creating first models was crucial in establishing a benchmark for performance measurements. Various models, including Decision Trees, XGBoost, Random Forest, LSTM, and Support Vector Machine (SVM) were assessed. The ensemble models, including XGBoost and Random Forest, showed better performance when combined with SMOTE. The findings of this research validate the efficacy of ensemble methods in forecasting financial distress. Specifically, the XGBClassifier and Random Forest Classifier demonstrate dependable and resilient performance. The feature importance analysis revealed the significance of financial indicators. Interest_coverage and operating_margin, for instance, were crucial for the predictive capabilities of the models. Both companies and regulators can utilize the findings of this investigation. To forecast financial distress, the XGB classifier and the Random Forest classifier could be employed. In addition, it is important for them to take into account the interest coverage ratio and operating margin ratio, as these finansial ratios play a critical role in assessing their performance. The findings of this research confirm the effectiveness of ensemble methods in financial distress prediction. The XGBClassifier and RandomForestClassifier demonstrate reliable and robust performance. Feature importance analysis highlights the significance of financial indicators, such as interest coverage ratio and operating margin ratio, which are crucial to the predictive ability of the models. These findings can be utilized by companies and regulators to predict financial distress.

Regional differentiation in the Russian Federation is considered to be high in terms of gross regional product (GRP) per capita level, growth rate, and other indicators. Inefficient use of region-specific spaces entails redistribution processes in order to maximize positive agglomeration effects throughout the country. These encompass economic restructuring based on production value-added chain extension and expanding inter-regional collaborative linkages. Besides, it is vital to assess the opportunities of individual Russian territories for participation therein. The research goal is to develop a scientifically based methodology to determine promising sectoral composition of the regional economies and that of spatial interactions. Such methodology would consider the feasibility of combining “smart” industrial specializations, regional resource potential, prevailing contradictions in the economic, innovative, and technological development of the country’s internal space. The proposed methodological approach opens the way to exploit the existing regional economic potential to the full, firstly, via establishing sectoral priorities of the region regarding the regulatory factors for the territorial capital to have a major effect on the increased potential GRP level; secondly, through benchmarking performance of the available development reserves within leading regions from homogeneous groups having similar characteristics and factor potentials; thirdly, via developing inter-regional integration prospects in terms of regional potential redistribution to ensure growth in potential gross domestic product. An extensive analytical and applied investigation of the proposed methodological approach was carried out from 2014 to 2020. Diversified estimates were obtained for a wide range of indicators due to evidences from 85 Russian regions and 13 types of economic activity. Such an integrated approach allows revealing actual imbalances and barriers that impede regional development, ensures the efficient use of production factors, and enables to trace ways to implement transformation policies and design effective regulatory mechanisms. The results provide arguments in favor of strengthening inter-regional connectivity and supporting inter-regional cooperation. This insight not only contributes to the academic discourse on complex development of a territory but also holds practical implications for policymakers and regional planners aimed at ensuring comprehensiveness and robustness of the evaluation supporting the decision-making process.

This study aimed to examine the compliance of post-disaster emergency assembly areas with their planning criteria in the Battalgazi district of Malatya province. This district is one of the settlements that was most affected by the two big earthquakes that occurred in Türkiye on 6 February 2023. The emergency assembly areas were evaluated qualitatively based on the criterion of “appropriateness”, with the sub-variables of “usability”, “accessibility”, and “safety”. They were also evaluated quantitatively based on the criterion of “adequacy” with the sub-variable “per capita m²”. There are a total of 103 neighborhoods in the district. However, there are only eight emergency assembly areas in total within its boundaries. According to the results of this study, only 7.5% of the current population of the district resides within 500 m of the emergency assembly areas. The fact that four emergency assembly areas (Hürriyet Park, Şehit Kemal Özalper High School, the Community Garden, Battalgazi Municipality) are situated next to each other and there are emergency assembly areas in only six of the 103 neighborhoods within the municipal boundaries shows that were significant problems in the decisions made regarding their locations. In addition, it was determined that there were disadvantages in terms of accessibility and usability within the criterion of appropriateness, while there were some positive aspects in terms of safety. When examined with regard to the criterion of adequacy, it was determined that the emergency assembly areas at Mişmiş Park, the Community Garden, Battalgazi Municipality, and Şehit Kemal Özalper High School were most adequate, while the emergency assembly areas at Hürriyet Park, Fırat Neighborhood Mukhtar, Nevzat Er Park, and 100 Yıl İmam Hatip Secondary School were least adequate.

This article aims to analyze the role of the Medan City Religious Harmony Forum (FKUB) in shaping harmony in digital literacy-based virtual communities. FKUB has a central role as an institution that ensures that the aspirations and interests of religious communities can be accommodated effectively. In addition to making real improvements, FKUB also initiated its moderating role through the digital realm. This research adopts a qualitative method using a phenomenological approach. Primary data was obtained through interactions with key informants, while secondary data sources involved articles, books, reportage related to the context of the research theme. Data collection was conducted through interview, observation, and documentation techniques. Data analysis used the Miles and Huberman analysis model with the steps of data coding, data presentation, and conclusion drawing. The results showed that FKUB initiated digital literacy-based religious moderation through two development communication models. The first model is a linear model where FKUB acts as a community educator. The second model is a participatory model that is usually uploaded on Instagram, FaceBook and Youtube social media. This model allows the community to comment and have two-way communication with the FKUB. Both models are oriented towards creating collective intelligence as an indicator of building virtual harmony. Through digital literacy-based development communication, FKUB can be a mediator in meeting the Sustainable Development Goals (SDG’s), namely: Peace, justice and strong institutions, as well as promoting equality and reducing inequality.

This inquiry endeavors to meticulously examine the intricate dynamics of the symbiotic developmental interplay among the gaming, tourism, and economic sectors in Macau. Utilizing the methodology of deviation standardization, the data undergoes scrupulous processing, invoking the entropy method to ascertain the weights of diverse evaluative indices. The developmental trajectories of Macau’s gaming, tourism, and economic domains spanning the years 2011 to 2021 are fastidiously gauged. Subsequently, a sophisticated coupled coordination model is employed to delve into the nuanced systemic interdependencies characterizing their developmental relationships. From 2011 to 2021, the holistic progression of Macao’s gaming and tourism sectors has exhibited a discernible ascent over the temporal continuum. Concurrently, the degree of coupling coordination has advanced from a state of near coordination to a commendable level of synchronized development. The overarching system of Macau’s gaming and tourism industries has transitioned from a state of disarray to one of ordered harmony, with the correlative impact of Macau’s tourism sector being adeptly realized. The supporting role played by Macau’s gaming industry in fortifying the tourism sector is conspicuously manifest. The alignment and coordination between Macau’s gaming and tourism sectors exhibit fluctuations across distinct developmental stages. During phases of nascent development in both the gaming and tourism domains, a palpable imbalance prevails. Elements such as the proliferation of gaming enterprises, international tourism revenue, aggregate output value of gaming establishments, market share held by gaming enterprises, and the profit margins thereof have, to a certain extent, impinged upon the harmonized evolution of the tripartite subsystems. This study proffers recommendations to foster the optimization and elevation of the industrial structure while championing the integration and advancement of diverse sectors. It advocates for the amplification of the propulsive impetus intrinsic to the gaming industry, coupled with the enrichment of the tourism product portfolio. Furthermore, it espouses the establishment of an effective mechanism for high-quality development, tailored to the exigencies of the contemporary era. This involves the implementation of precise policies, the facilitation of amalgamated progress in gaming and tourism, and an unwavering commitment to sustainable development through the interconnected alignment of gaming, tourism, and the broader economy. The findings of this study furnish a scientific foundation for the strategic industrial planning and developmental initiatives undertaken by relevant departments in Macau.