The aim of this research article is to examine language borrowing in Mqapheli Mngadi’s cartoons, and this is done by considering loan-words as one of the language borrowing processes. While the study adopts ethnography of communication as the main theory, to guide the analysis of the qualitatively textually analysed data, the study is conceptually grounded on socio-stylistics. This is because one of its aims is to critically evaluate the socio-stylistic significance of language borrowing in Mngadi’s selected editorial cartoons. The findings of the study demonstrate that Mngadi employs loan-words to artistically depict context, culture and setting in his cartoons. It was also discovered that the cartoonist, in some instances, uses loan words because there are no isiZulu equivalents. On the same note, he uses them when a more suitable word is preferred, so that the cartoons are more relatable.
This work reports a qualitative study, with a case study and comparative analysis type of research. The unit of analysis is the case to compare of Lionel Messi and Cristiano Ronaldo based on their sporting careers, from their debut as professionals until the month of August 2023, associated with information manipulation in sports journalism in the press, web and TV. The results suggest that, although it is true that sports statistics favor Lionel Messi compared to Cristiano Ronaldo, the opinion of journalists in the media is influencing the generation of imaginaries that are far from what the statistics reflect, and concludes in misinformation. It is necessary to consolidate the ethical treatment of the information resulting from the analysis within the framework of the comparison of sports trajectories.
The study investigates the effects of climate change on the biodiversity of alpine ecosystems across different continents. By examining various ecological parameters, the research highlights the shifts in species composition, migration patterns, and the overall health of these sensitive environments. The study utilizes advanced modeling techniques to predict future biodiversity scenarios under different climate change projections, providing crucial insights for conservation efforts.
RNAa is an emerging biological discovery involving double-stranded RNAs that target promoter regions in chromosomal DNA resulting in transcriptional activation of genes. The transcriptional activation or up-regulation of genes results in an increase in mRNA and protein production. Accordingly, this technology may have applications in a range of human disorders such as certain genetic diseases and cancer where the aberrant low expression of certain proteins is known to occur. In this article, The History of RNAa discovery, main mechanism of RNA activation and its applications were reviewed.
Understanding plant growth efficiency in various environmental conditions is crucial for sustainable agriculture and conservation efforts. This study applies Data Envelopment Analysis (DEA) to evaluate plant growth efficiency across different species and environmental setups, accounting for imperfect conditions such as soil quality and climate variability. The modified DEA model incorporates these variabilities as inputs to better reflect real-world scenarios. Results demonstrate the effectiveness of the approach in identifying optimal growth strategies and improving resource allocation for enhanced sustainability.
Climate change poses significant threats to the biodiversity of the Amazon rainforest, particularly affecting endemic plant species that are crucial for maintaining ecological balance. This study examines the impact of temperature fluctuations, altered precipitation patterns, and increased CO2 levels on the distribution and survival of these plant species. Using a combination of field observations and climate modeling, we predict substantial shifts in plant populations, with some species facing increased risk of extinction. Our findings highlight the urgent need for conservation strategies that account for climate change effects to preserve the unique flora of the Amazon.
It is commonly recognized that knowledge is the only source of core competence of Environmental Projects in knowledge-based companies, but the productivity rate of knowledge workers is always low. Based on knowledge workers’ characteristics, in this paper, factors effective in the evaluation of environmental projects risk are identified using the literature and categorized into four groups: technical, environmental, economic, and social. Next, using the Delphi method, the criteria related to the factors were selected for Drug Industries. Accordingly, some of the criteria identified using previous studies were omitted. Using the criteria and fuzzy AHP composition of environmental projects risk in the Drug industries was identified. On the basis of the results, Very High, High, Medium, Low, and Very Low risk in the environmental projects in Drug Industries. It is hoped that this paper will help Environmental Projects managers to implement different corresponding measures. A case study is presented where this model measures and validates at the Drug industries.
Urban green spaces play a crucial role in preserving biodiversity within metropolitan regions. This study evaluates the diversity of plant and animal species across various urban parks in major cities. By analyzing data collected over a three-year period, we identify key factors that enhance biodiversity, such as native plant species and the presence of water bodies. The findings suggest that strategically designed green spaces can significantly contribute to urban biodiversity conservation, providing essential habitats for flora and fauna. Our research highlights the importance of integrating ecological considerations into urban planning to promote sustainable city environments.
Urban heat islands (UHIs) present a significant environmental challenge, affecting plant physiology and biodiversity. This study examines the physiological responses of various plant species to UHIs, focusing on photosynthesis, water usage, and stress tolerance. By comparing urban and rural plant populations in diverse climatic regions, we identified adaptive traits that enhance resilience to elevated temperatures. Our findings suggest that urban environments can drive evolutionary changes in plant populations, with implications for urban planning and biodiversity conservation.
