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Nurturing, especially feeding ant colonies is a vital topic among ant researchers and ant keepers. Numerous factors contribute to growing healthy ant colonies rapidly, including, for instance, humidity levels and appropriate farming methods. Proper diet is also an essential consideration. Many articles contemplate the potential of artificial diets. Variable carbohydrate-based diets have been tested but the role of protein has largely been overlooked. We aimed to analyse the effects of these diets to be able to standardize and compare results of different laboratories. We assessed the most readily available, natural, inexpensive, known, and efficient diets to ensure optimal nutrition for ant colonies by analysing the development of 100 Lasius niger colonies. They were given four different carbohydrate-based diets in the first year and four different protein-based diets in the second year. Based on our findings, honey water was the best carbohydrate source. The best protein diet, however, consisted of crickets, which positively influenced not only the development but also the survival success of the colonies during the wintering period. Thus, we suggest rearing laboratory colonies of L. niger on honey water and crickets. It would be worth repeating this study with different ant species and doing biochemical analysis on the diets.
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http://dx.doi.org/10.1038/s41598-025-06406-x | DOI Listing |
Mar Life Sci Technol
August 2025
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48103 USA.
Unlabelled: Habitat fragmentation is a major cause of biodiversity loss. Fragmentation can alter thermal conditions on the remaining patches, especially at habitat edges, but few studies have examined variations in thermal tolerance of species in fragmented habitats. Ants are sensitive to both habitat fragmentation and temperature changes, and are an ideal taxon for studying these impacts.
View Article and Find Full Text PDFThe architecture of an ant colony's nest entrance modulates the regulation of activity in and out of the nest. This study considers how the architecture of nests of the desert harvester ant facilitates the regulation of foraging activity in an arid environment. Colonies must spend water, in water lost to evaporation when outside the nest, to obtain food and water.
View Article and Find Full Text PDFActa Epileptol
September 2025
Department of Electronics Engineering, K. J. Somaiya School of Engineering (formerly K. J. Somaiya College of Engineering), Somaiya Vidyavihar University, Mumbai, 400077, Maharashtra, India.
Background: The detection of epileptic seizures is a crucial aspect of epilepsy care, requiring precision and reliability for effective diagnosis and treatment. Seizure detection plays a critical role in healthcare informatics, aiding in the timely diagnosis and management of epilepsy. The use of computational intelligence and optimization techniques has shown significant promise in improving the performance of automated seizure detection systems.
View Article and Find Full Text PDFInt J Med Inform
December 2025
Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Department of Public Health, York St John University, London, Uni
Background: Alzheimer's disease (AD) represents a significant global health challenge requiring early and accurate prediction for effective intervention. While machine learning models demonstrate promising capabilities in AD prediction, their black-box nature limits clinical adoption due to a lack of interpretability and transparency.
Objective: This study aims to develop and evaluate explainable artificial intelligence (XAI) frameworks for AD prediction using comprehensive multimodal patient data, with a focus on enhancing model interpretability through SHAP and LIME techniques.
Sci Rep
August 2025
School of Construction Engineering, Shenzhen Polytechnic University, Shenzhen, 518055, China.
A multi-objective optimization design approach for prefabricated components such as columns, beams, slabs, walls and stairs in prefabricated buildings using ant colony algorithm is proposed to minimize cost, duration and carbon emissions in this paper. The proposed approach takes cost, duration, and carbon emissions as objective functions, the construction technologies of cast-in-place and prefabricated components as variables, prefabrication rate as constraints, and the ant colony algorithm as a solution tool, to minimize the cost, duration, and carbon emissions of prefabricated buildings. The validity of the proposed approach was verified by applying it to the multi-objective optimization design of a three-story frame structure.
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