Botswana Science News API

{
    "totalArticles": 1161,
    "articles": [
        {
            "id": "9f10098c6c77c25baf295b02d1c826f7",
            "title": "Measuring the psychological restorative quality of urban spaces: a vision language model-based method",
            "description": "Well-designed urban environments crucially mitigate stress and enhance mental well-being through their restorative qualities. However, subjective surveys lack spatial scalability, while objective machine learning often fails to capture the complexity of human perceptual experiences. To address this gap, this study proposes a hybrid framework based on Vision Language Models (VLMs) and human experiences to assess the restorative quality of urban spaces. Using Shenzhen, China as a case study, we gathered subjective and objective knowledge from PRS-11 surveys and ChatGPT-4 descriptions of 566 street view images, incorporating this into VLM prompts via the Contrastive Language-Image Pretraining (CLIP) model. Through prompt engineering, the VLM evaluated 2,224 additional images, with semantic networks analyzing the decision-making process. Results demonstrate that: (1) our method significantly outperformed Random Forest, with an R² increase of 0.535 attributed to prior knowledge fusion; (2) restorative quality exhibits spatial heterogeneity, clustering in developed districts near park and coastal zones; and (3) semantic network analysis further revealed the decision rationales of VLMs across different restorative dimensions, providing design guidelines for low restorative quality spaces. This research offers a novel methodology for assessing restorative quality of urban spaces, providing practical tools for sustainable development and human mental well-being.",
            "content": "Rugulies, R. et al. Work-related causes of mental health conditions and interventions for their improvement in workplaces. Lancet 402, 1368–1381 (2023).\nShields-Zeeman, L. & Smit, F. The impact of income on mental health. Lancet Public. Health. 7, e4... [15393 chars]",
            "url": "https://www.nature.com/articles/s41598-026-43360-8?error=cookies_not_supported&code=24c1ccc7-94ae-4752-bd36-e2cf0b895eb8",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2026-04-05T22:01:41Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        },
        {
            "id": "8ae1bdd1d67a06a587052609a7845be2",
            "title": "Molecular characterization of emerging bacterial communities associated with honey bees",
            "description": "Honey bees are vital pollinators essential for ecosystems and global agriculture, but their populations are declining due to pressures caused by pests. This study reports the presence of Escherichia coli, Klebsiella pneumoniae, Proteus terrae, and Pseudomonas spp. in four different honey bee species in Pakistan for the first time, uncovering a previously neglected aspect of honey bee microbiology. From January 2023 to June 2024; 1190 honey bees were collected from four districts in Khyber Pakhtunkhwa and they were identified. Molecular screening based on PCR targeting the microbial 16 S rDNA resulted in the detection of potential bacterial pathogens across different districts. In Buner, K. pneumoniae and E. coli were detected in Apis mellifera and Apis cerana individuals while Apis florea was positive only for K. pneumoniae. In Swat, Pseudomonas spp. was identified in A. mellifera, Apis dorsata and A. florea, while in A. cerana no pathogen was detected. In Lower Dir, A. mellifera and A. florea were positive for Pseudomonas spp., and A. cerana for K. pneumoniae, with A. dorsata being pathogen-free. In Malakand, K. pneumoniae and E. coli was found in A. mellifera and A. cerana, while A. florea harbored only Pseudomonas spp., and A. dorsata had no pathogens. Finally, P. terrae was detected exclusively in A. mellifera from Buner and Swat. Morphological analysis revealed significant interspecies variation, with A. dorsata exhibiting the largest values in tongue length (4.27 ± 0.21 mm), forewing size (12.8 ± 0.19 mm), and the highest cubital index (2.71 ± 0.04 mm). A. mellifera was classified in second place, followed by A cerana and A. florea, which characterized by the lowest measurement values. In the present study significant bacterial pathogens were identified representing emerging threat to honey bees in Pakistan while data regarding their phenotypic characterization and phylogenetic position were provided for the first time in the region.",
            "content": "Papa, G. et al. The honey bee Apis mellifera: An insect at the interface between human and ecosystem health. Biology 11(2), 233 (2022).\nKlein, A. M. et al. Importance of pollinators in changing landscapes for world crops. Proc. R. Soc. B Biol. Sci. 2... [14316 chars]",
            "url": "https://www.nature.com/articles/s41598-026-42610-z?error=cookies_not_supported&code=186a0947-efc0-465b-b427-47bcb78cd6be",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2026-04-05T16:09:53Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        },
        {
            "id": "424c015d988a402157fcfe2a1b185bf9",
            "title": "Why adaptable animals evolve more slowly in a warming world",
            "description": "Animals that adapt behaviorally may evolve physically more slowly, showing resilience rather than weakness in changing environments.",
            "content": "Researchers have found that animals capable of flexible behavior tend to slow the evolution of their bodies when environments change.\nThat pattern reframes slow physical change as a sign of resilience rather than vulnerability in shifting climates.\nF... [5670 chars]",
            "url": "https://www.earth.com/news/why-adaptable-animals-evolve-more-slowly-in-a-warming-world/",
            "image": "https://cff2.earth.com/uploads/2026/04/04142650/animal-behavior-climate-change.jpg",
            "publishedAt": "2026-04-04T20:42:12Z",
            "lang": "en",
            "source": {
                "id": "fca72a05020e12df547eedb79c870663",
                "name": "Earth.com",
                "url": "https://www.earth.com"
            }
        }
    ]
}