Weather and climate services are essential tools that help farmers make informed choices, such as choosing appropriate crop varieties. These services depend considerably on the availability of adequate investments in infrastructure related to weather forecasting, which are often provided by the State in most countries. Zimbabwean farmers generally have limited access to modern weather and climate services. While extensive attempts have been made to investigate farmers’ socioeconomic factors that influence access to and use of weather and climate services, comparative political economy analysis of weather and climate service production and use is limited. To address this knowledge gap, this study examines the production, dissemination, and usage of modern seasonal weather services through a political economy analysis perspective. The findings of this study highlight considerable discrepancies in access and use of seasonal weather forecasts between male and female farmers, those who practise African Traditional Religions versus Christians, and the minority group (Ndau tribe) and the majority group (Manyika tribe). This result suggested the presence of social marginalization. For example, minority Ndau members living in remote areas with limited radio signals and a weak mobile network have limited access to modern seasonal weather forecasts, forcing them to rely much more on indigenous weather forecasts. Further, due to unequal power relations, a greater proportion of male farmers participated in agricultural policy formation processes than their female counterparts. To promote inclusive development and implementation, deliberate efforts need to be made by State authorities to incorporate adherents of African traditional religions, members of minority tribes and female farmers in agricultural policymaking processes, including seasonal weather forecast delivery policies. Further, the study suggests the relaxation or elimination of international sanctions on Zimbabwe by the European Union, United Kingdom and the United States of America, given that they are considerably affecting marginalized groups of farmers in their climate change adaptation practices, including the use of modern weather and climate services. The vast majority of these marginalized farmers never benefitted from the land reform programme and were also not responsible for the design and implementation of this programme which triggered these sanctions.

Background: In an increasingly globalized world, public health is a challenge in the future of health systems. Nursing is a fundamental profession in health systems and the purpose of the study is to quantify the scientific production in global public health carried out by nursing to demonstrate its competence, capacity and specialization in this subject. Methods: A bibliometric study was carried out to understand the scientific production of public health nursing in WoS. A total of 17,545 documents were analyzed using Bibliometrix software in version 4.0.5. Results: A notable increase in production is observed over time, a sign of specialization and capacity. The theme focuses on three stages: hygiene and sanitation, infectious diseases and quality, prevention and non-communicable diseases coinciding with the real social needs of each moment. Most of the production is in English and produced by countries with developed economies. Nursing is aligned with current public health needs. Conclusions: Bibliometrics is a good method to quantify scientific production. The results show extensive scientific production in public health nursing, which translates into extensive knowledge of public health by nursing. There is a growth in production in accordance with time as well as an adaptation to the most current themes in accordance with population needs. Public health is an area of concern to countries and nursing can actively participate in studies, planning and leadership of health systems. Public health nursing should not be considered relegated to medicine but independent and of crucial importance to the “Onehealth” concept. Public, private and educational administrations must promote and support nursing research in public health, and it is not advisable to reduce the teaching load of global public health in nursing studies, in favor of the family and community environment.

With the continuous development of globalization, communication among countries around the world is increasingly frequent, and multicultural integration has become the mainstream of the development of the current era. Language, as the carrier of multicultural integration, is an important tool to promote international communication and integration, especially English, as an international language with the largest number of users and the widest range, has extensive practicability and communication. With the continuous deepening of China's reform and opening up, communication with foreign countries has become increasingly close. English has become a basic language skill that college students must master proficiently. The transformation of English education is an inevitable trend that conforms to the development of the times. However, in the current process of English teaching in universities, there are outdated educational ideas and methods, and English teaching and cross-cultural awareness cultivation have not been effectively combined, Causing a lack of interest in English among college students, the inability to truly apply learning outcomes to practical situations, and the loss of its true significance in English teaching. This article analyzes the important impact of the current multicultural integration environment on college English teaching, as well as the problems existing in contemporary college English teaching practice, and proposes targeted transformation paths for college English education in the context of multicultural integration.

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.