Singapore Science News API

{
    "totalArticles": 16808,
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        {
            "id": "62d69d2ac80fefb3be6828e7c5a1a25a",
            "title": "Researchers use quantum biosensors to peer into cells' inner workings",
            "description": "In a major advance applying insights from quantum physics to the inner workings of biology, a team of WashU researchers has successfully implanted quantum sensors in living cells to measure shifts in magnetism and temperature. The measurements could offer new insights into the efficiency of cellular metabolism in health and disease.",
            "content": "In a major advance applying insights from quantum physics to the inner workings of biology, a team of WashU researchers has successfully implanted quantum sensors in living cells to measure shifts in magnetism and temperature. The measurements could ... [4125 chars]",
            "url": "https://phys.org/news/2026-03-quantum-biosensors-peer-cells.html",
            "image": "https://scx2.b-cdn.net/gfx/news/hires/2025/cell-1.jpg",
            "publishedAt": "2026-03-26T22:40:02Z",
            "lang": "en",
            "source": {
                "id": "6063be7565dcd637bb5d2946ed6c5329",
                "name": "Phys.org",
                "url": "https://phys.org"
            }
        },
        {
            "id": "adb738910c65e1cbcf6fa7da7cabdc2e",
            "title": "Uncovering the Effects of Microgravity on Liver Metabolism",
            "description": "A team led by Professor Mian Long from the Institute of Mechanics, Chinese Academy of Sciences, China, investigated the effects of space microgravity on cultured liver cells aboard the China Space Station.",
            "content": "The liver plays a vital role in human health, regulating metabolism and blood nutrient levels, filtering toxins, and synthesizing important proteins for blood clotting. It is also sensitive to changes in diet, behavior, and environmental factors, mea... [3428 chars]",
            "url": "https://www.universetoday.com/articles/uncovering-the-effects-of-microgravity-on-liver-metabolism",
            "image": "https://www.universetoday.com/article_images/Tiangong-image-one-e1717664297953_20260326_221733.jpg",
            "publishedAt": "2026-03-26T22:18:00Z",
            "lang": "en",
            "source": {
                "id": "e209c18934dfc136fe2651208d3d9a69",
                "name": "Universe Today",
                "url": "https://www.universetoday.com"
            }
        },
        {
            "id": "4f0614745db70c6807297770205f6c10",
            "title": "Identification of dynamic driving styles based on behavioral primitives",
            "description": "Driving style reflects drivers’ vehicle manipulation and driving habits, it is essential for understanding and analyzing drivers’ dynamic behavior and decision-making process. To better understand the intrinsic characteristics of how drivers make decisions and control vehicles based on external conditions, this paper proposes an unsupervised framework for dynamic driving style classification based on behavior primitives. The framework consists of three key stages: primitive extraction, model development, and dynamic driving style classification. Unsupervised techniques are employed to extract meaningful behavior primitives from time-series driving data. The primitive serves as the fundamental unit for dynamic driving style analysis, and a driving style evaluation model is built using a linear weighting approach. This model quantifies the risks of primitives and the transition risks between adjacent primitives. The thresholds for classifying cautious, average, and aggressive styles are determined using an improved particle swarm optimization algorithm. The proposed dynamic driving style classification framework comprehensively considers the characteristics of the current primitive and its surrounding context. By preserving the temporal features of driving behavior, the framework provides fine-grained classification of dynamic driving styles. Additionally, a deeper understanding of drivers’ dynamic driving style and their long-term driving behavior can be gained based on this framework, which will benefit the development of AVs and ADASs.",
            "content": "Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original... [625 chars]",
            "url": "https://www.nature.com/articles/s41598-026-38787-y?error=cookies_not_supported&code=44feb8e0-0650-48a9-b8f1-0aa1f89cb4a0",
            "image": "https://www.nature.com/static/images/favicons/nature/favicon-48x48-b52890008c.png",
            "publishedAt": "2026-03-26T19:15:34Z",
            "lang": "en",
            "source": {
                "id": "7abf0df285fbe93cdccffcc7c4088737",
                "name": "Nature",
                "url": "https://www.nature.com"
            }
        }
    ]
}