World, Volume 5, Issue 4 (December 2024) – 8 articles

Social media platforms, such as Twitter (X), have a critical role in disseminating health information. The study aims to highlight the potential of Twitter (X) as an influential tool for health communication, in addition to providing findings related to public health communication strategies in Ghana. The study investigated the role of Twitter (X) as a platform for building interactive health communication between the health communication system and citizens in Ghana during the COVID-19 pandemic of 2020–2022. Additionally, it has the potential to contribute to building dialogical health communication. The study analyzed a sample of COVID-19-related tweets from the official Ghana Health Service Twitter (X) account @_GHS from 2020 to 2022. The results showed that Twitter (X) was a key tool for health communication during the COVID-19 pandemic in Ghana, with both health institutions and the public sharing large amounts of health information. Furthermore, the study found evidence of dialogic communication, in which healthcare institutions and professionals are actively engaging with the public on Twitter (X). It concluded that public health communication on Twitter (X) has changed over time, as well as that the interactive health communication between the health communication system and citizens in Ghana was affected positively during the COVID-19 outbreak. It highlighted Twitter (X)’s potential as a tool for establishing a dialogue loop and building dialogic health communication. The results showed that before COVID-19, Ghana did not use Twitter (X) effectively to communicate with citizens about health matters. Twitter (X), with its wide reach and highly interactive nature through features such as retweets, has become a major platform for interactions facilitating dialogue between health institutions and health professionals and facilitating dialogue in public spaces surrounding health issues like COVID-19. Full article

Objective: This study aimed to assess the impact of water quality as determined by its physical, chemical, and biological composition collected from five distinct points in Maragheh, Iran, on the performance and carcass traits of Ross-308 commercial broilers (mix of male and female) during the grower (11–24 days) and finisher (25–42 days) periods. Materials and methods: A total of 240 broilers were involved in the study, divided into five treatments with four replicates and 12 birds per replicate. In this study, a randomized design was used. Water samples were collected from five different points, and broilers were provided with these water sources during the grower and finisher periods. Water samples for testing were prepared from the water wells of the meat poultry farms located in the northern, eastern, western, and southern lands, and the experimental farm, using hygienic and scientific methods. Performance parameters, including body weight, feed conversion ratio (FCR), and water intake, were measured. Results: During the grower period, no significant effects on performance and water intake were observed across the different water sources (p > 0.05). However, in the finisher period, significant differences were noted (p ≥ 0.05). The use of water from point A (control group) led to reduced water consumption, body weight, and increased FCR (p < 0.05). The northern water source exhibited the optimum FCR during the finisher period (p < 0.05). Throughout the entire experimental period, the water source significantly influenced broiler performance, with the northern water source (point B) corresponding with the highest weight gain and production index with the least feed intake (p < 0.05). Despite these variations, no significant changes were observed in the broilers’ carcass traits across different water sources (p ≥ 0.05). Conclusions: In conclusion, the study revealed that various drinking water sources, while not significantly impacting carcass quality traits, exerted notable effects on broilers’ performance. The northern water source emerged as particularly favorable, demonstrating superior weight gain and a production index with efficient feed utilization. These findings underscore the importance of water quality in poultry management, particularly during the finisher period, and highlight its potential influence on broiler performance. Full article

Sub-national governments (SNGs) in developing countries have increasingly explored green municipal bonds as a financing tool, driven by promises of lower borrowing costs, enhanced reputation, and support for sustainable economic development. This study aims to critically examine these claims by analysing the actual costs and complexities associated with green municipal bonds (GMBs). The research involves a comparative analysis of traditional municipal bonds and GMBs, focusing on the financial and operational challenges faced by SNGs. Detailed case studies from Mexico City and Cape Town are used to illustrate the practical implications of issuing GMBs. The findings reveal that, despite similar or slightly lower interest rates, GMBs often entail higher issuance costs due to the need for certification, monitoring, and reporting of green projects. These additional costs, coupled with the necessity of hiring external consultants, make GMBs more expensive and difficult to replicate after initial transactions. Furthermore, the study highlights that the demand from investors has not met initial expectations. While green-aligned investors show a higher appetite for GMBs, they constitute only a small portion of the finance market. Traditional investors, primarily focused on financial returns, are less inclined to invest in GMBs solely based on their green label. Consequently, many SNGs are increasingly turning to traditional “vanilla” municipal bonds as a more viable option for financing green initiatives. This shift underscores the practical challenges of GMB issuance in developing countries and calls for a strategic approach to balance the use of GMBs with other financing options to promote sustainable economic development. Full article

Using the bibliometric software VOSviewer^® version 1.6.20 and Scopus as a bibliographic database, this paper aims to investigate the research streams in terms of the co-occurrence network of authors, terms extracted from the title field, countries, keywords, and organizations researching on IM from publications between 1974 and 2024. Retrieved from Scopus and using science mapping bibliometric techniques with VOSviewer^®, 4756 documents published on IM from 1974 to 2024 were analyzed, divided in three phases (1974–1995, 1996–2019, and 2020–2024), and limited to BMA (Business, Management, and Accounting), EEF (Economics, Econometrics, and Finance), and SOC (Social Sciences). The main findings are as follows: (a) there is a tendency for a minimal relationship between authors from different organizations and countries to collaborate in research on IM; (b) almost half (45.12%) of the publications on IM were published by authors from the European Union, which rises to 55.24% in Europe if the United Kingdom is included. These results are far ahead of those of the United States (13.4%), China (7.6%), the Russian Federation (3.6%), and Japan (2.3%). (c) While the first publications on IM deal with aspects related to product development, management, technology, R&D, and competition, there is a recent trend to link IM to sustainable development, open innovation, ecosystems, stakeholders’ engagement, and entrepreneurship. Full article

To address the current challenge of climate change at the local and global levels, this article discusses a few important water resources engineering topics, such as estimating the energy dissipation of flowing waters over hilly areas through the provision of regulated stepped channels, predicting the removal of silt deposition in the irrigation canal, and predicting groundwater level. Artificial intelligence (AI) in water resource engineering is now one of the most active study topics. As a result, multiple AI tools such as Random Forest (RF), Random Tree (RT), M5P (M5 model trees), M5Rules, Feed-Forward Neural Networks (FFNNs), Gradient Boosting Machine (GBM), Adaptive Boosting (AdaBoost), and Support Vector Machines kernel-based model (SVM-Pearson VII Universal Kernel, Radial Basis Function) are tested in the present study using various combinations of datasets. However, in various circumstances, including predicting energy dissipation of stepped channels and silt deposition in rivers, AI techniques outperformed the traditional approach in the literature. Out of all the models, the GBM model performed better than other AI tools in both the field of energy dissipation of stepped channels with a coefficient of determination (R²) of 0.998, root mean square error (RMSE) of 0.00182, and mean absolute error (MAE) of 0.0016 and sediment trapping efficiency of vortex tube ejector with an R² of 0.997, RMSE of 0.769, and MAE of 0.531 during testing. On the other hand, the AI technique could not adequately understand the diversity in groundwater level datasets using field data from various stations. According to the current study, the AI tool works well in some fields of water resource engineering, but it has difficulty in other domains in capturing the diversity of datasets. Full article

Sheep breeding is one of the most important economic activities in Ahar City, Iran. However, due to traditional production techniques, livestock farmers face the problem of low productivity. To address this issue, traditional breeds can be replaced with improved and high-yielding ones; in the first stage, this requires the acceptance of these new sheep breeds by the region’s ranchers. This research aimed to evaluate the attitudes of the livestock breeders of Ahar City towards the improved breeds of sheep and the influential factors. We collected data through in-person interviews using a simple random sampling method, surveying 100 sheep breeders in Ahar. The breeders were categorized into three groups based on their attitudes towards improved breeds: negative, indifferent, and positive. Next, we employed data mining-based methods, including multilayer perceptron neural networks, random forest, and random tree algorithms. These helped identify essential variables affecting ranchers’ attitudes. The results showed that several factors contribute to the ranchers’ philosophy, with the number of sheep sold in the past year and the total sheep ownership being the most significant ones. Comparing statistical evaluation criteria, we found that the random tree algorithm outperformed other methods in predicting and classifying livestock farmers, achieving a prediction accuracy rate of 86% for a sample of 100 farmers. Based on our findings, promoting training courses and raising awareness about the benefits of breeding new sheep breeds, along with providing facilities and credits based on economic conditions, can foster a positive attitude among herders. Increasing the number of sheep owned and improving marketing strategies can further enhance this positive outlook. Full article

Although cicadas have traditionally been considered pests of little or no importance, in recent decades, an increase in damages is being recorded in olive groves of southern Spain. New agricultural practices that affect soil management are behind it. During 2024, intensive sampling has been carried out in an organic grove with herbaceous cover (VC2), and in a second one with mixed vegetation cover (VC1, in which the crushed remains of the annual pruning are added). In both ecological groves, inventories of the vegetation have been carried out, as well as intensive sampling in the olive canopy, with the densities of oviposition injuries being recorded and compared with respect to conventional management (CONV). The objectives of this study are to compare the three managements based on the density of oviposition injuries, to determine the priority areas for cicadas’ oviposition within the trees; and to develop a sampling method to assess damage over large areas. The results show significant increases in the density of injuries in organic groves, with maximum values recorded in the olive grove with mixed cover. Oviposition injuries show an altitudinal gradient distribution, with maximum values in the lower zone of the trees. The factors involved are discussed. Full article

The Ramganga River basin, comprising three rivers, the Dhela, Dhandi, and Ramganga, plays a vital role in groundwater recharge, sustaining numerous industries, urban areas, and rural communities reliant on these rivers for daily activities. The study’s primary purpose was to analyze the groundwater quality in the context of potability, irrigation, and health risks to the local inhabitants of the Ramganga River basin. In 2021–2022, 52 samples (26 × 2) were collected from 13 locations in two different seasons, i.e., pre-monsoon and post-monsoon, and 20 physico-chemical and heavy metal and metalloids were analyzed using the standard protocols. The result shows that heavy metal and metalloids and metalloid concentrations of Zn (0.309–1.787 and 0.613–1.633); Fe (0.290–0.965 and 0.253–1.720), Cd (0.001–0.002 and 0.001–0.002); As (0.001–0.002 and 0.001–0.002), Cr (0.009–0.027 and 0.011–0.029), and Pb (−0.001–0.010 and 0.00–0.010) values in mg/L are present in both seasons. The groundwater quality index (GWQI), heavy metal pollution Index (HPI), and heavy metal evaluation index (HEI) were used to assess the water quality and metal pollution in the basin area. As per GWQI values, water quality lies from excellent water quality (41.639 and 43.091) to good water quality (56.326 and 53.902); as per HPI values, it shows good (29.51 and 30.03) to poor quality (60.26 and 59.75) and HEI values show the low-level contamination (1.03–2.57 and 1.13–3.37) of heavy metal and metalloids in both seasons. According to the potential health risk assessment, infants show low risk in pre-monsoon and low risk to medium post-monsoon, while children and adults show low risk to high risk in both seasons. From the health risk perspective, it shows that children and adults have more concerns about non-carcinogenic effects, so adequate remedial measures and treatment are required to avoid the groundwater quality of the Ramganga River basin. Full article